Indicator Review: Trader On Chart - Forex Robot Nation

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer to Forex [link] [comments]

New to Trading? Here's some tips

So there seems to be a lot of new people on this sub. And makes sense if you have questions a lot of time you'll turn to reddit for the answers (I know I do). Well here are some tips that I think would benefit new traders.
  1. Don't trade ANY Euro pairs. Look I know it's the most traded pair it goes up and down really fast and there's so much potential for you to make money. Turns out there's even more for you to lose money. It's way too volatile specially if you don't know what you're doing. EUUSD is the worst offender.
  2. Trade the Daily. Might think you're cool looking at charts every x amount of times during the day. You get to tell your friends and family that you trade all day and they might be impressed at what you're doing but unless you have some years under you stick to the daily. There's less noise. You can see clearer trends and when you don't stare at the screen all day you're less emotional therefore a more effective trader. I only look at the chart 15 minutes a day to either enter close or manage my trades. Whatever happens when I'm gone is what happens.
  3. There is no holy grail indicator Look for it all you want. It doesn't exist. There are good indicators. There are bad indicators. There are some indicators that are so broken if you do the opposite of what they're intended for you'll actually make a profit. But the fact remains that there's no perfect one. Stop looking. What you should be looking for is an indicator that fits with your strategy.
  4. What currencies to pick. I actually never see this brought up. The notion in forex is that all pairs can be traded equally. To a certain extent that's not false. But until you get the hang of it stick to a strict trading diet. Look for pairs that trend a lot. Duh look for the trend I can hear you say. When I say trend I don't mean a couple of days or weeks. I mean a couple of months. Half a year. Pairs that do that have a higher tendency to stick with one direction for a while. That's where you make your money. An easy way to identify those pairs as well is putting together a volatile currency (USD) with a less volatile one(JPY).
  5. USE YOUR SL Trust me even if not putting a SL has netted you all kinds of gains eventually the market will turn around and bite you. With no safety net you'll lose most if not all your profit. The best offense is a good defense.
  6. How to pick your TP and SL level. Most new traders care so much about that. I put it near the bottom because in my opinion you should know everything listed first. This is my opinion and I use it for my strategy I use the ATR(average true range) indicator. It's a really helpful tool that helps you identify the range at which the candles will either rise or fall. Obviously you want to set your TP inside of that range and your SL slightly outside of it.
  7. Lot sizes. Everyone has a different story about how they pick their lot size. The general consensus is don't risk over 2% of your account. But I'm a simple man and I can't be bothered to figure out what my risk is every single time. So what I do is I put $0.10 for every $100 I have on the account. I then assign $300(minimum) to each pair. That's $0.30 per pair. It's easy to remember. 10 cent for every $100. If you're able to blow $100 with $0.10 then you probably shouldn't trade.
  8. How to avoid reversals. Tbh you can't. There's no way to predict the future so eventually you'll get hit by one. What you can do however is minimize the blow. How I do it is for every pair I take two trades. If you remember in the previous tip is said I do about$0.30 per pair well I divide it 2:1. I take one trade with a TP(2) and one without (1). If my TP is hit I pocket that amount and if the trend keeps going in my direction I make even more. If the trend decides to end or reverses my losses are minimal because at least I kept half.
  9. There is NO right way to trade. Stop listening to people telling the best way to trade is fundamentals or naked charts of to use some specific indicator. There are no right way to do this. It's as flexible and unlimited as your imagination. I personally use indicators but if that's not your thing do YOU! Just remember to manage your trades properly and be level headed when trading. Hell if your trading strategy is flipping a coin with proper trade management you'd probably make some money (don't quote me on that).
  10. Trade money you're willing to lose Don't trade your rent money.
That's all I have for now. If anyone sees this and wants to add more feel free. Hope this helps someone.
submitted by MannyTrade to Forex [link] [comments]

The importance of backtesting and sticking to a strategy

Hi all,
I just wanted to share my trading experience with you so far, and maybe help some people who may be in the situation as I am. I started trading about 2-3 months ago. I started with baby pips, opened a demo account, and got cocky a couple weeks into it and made a live account with $100, and every other week or so put $20 extra in. (thank God I didn’t put it more than that). Today, my account stands at around $68, with a total P/L of -$131.76. I have been really uncomfortable losing money, even if it’s not a lot, and that uncomfortableness forced me to realize my mistake.
I thought I could half ass a strategy and be a winner in forex, and the market humbled me extremely quickly. I actually didn’t have a strategy at all. It was a lazy mix of a bunch of different typical strategies I saw on YouTube. I also let my emotions get into trades, after a losing trade I would get back in the market in the opposite direction to try and make up for my loss. All bad, I know. I was too cocky.
Just like anything difficult in life, you cannot half ass forex. I spent all of Friday testing an EXTREMELY simple strategy on 4 major pairs, and out of 93 total trades over the last 6 months, the win rate of my strategy is 73%. From now on, I vow to ONLY make a trade when my strategy presents itself. Moral of the story is, if you think you can half ass forex, you better wake up right now. Find a strategy, backtest it, and only trade said strategy. Have some discipline.
Here is my extremely simple, backtested strategy with a 73% win rate that I got from The Trading Channel on YouTube:
Indicators: 200 EMA
Requirements: 2 wicks IN A ROW that TOUCH the 200 EMA, that have candle bodies that both close above or below the 200 EMA. If both candles close above the 200 EMA, go long. If both candles close below the 200 EMA go short. Stay extremely strict with the rules of the strategy.
Here are the pairs that I have tested this strategy on over the past 6 months, that total a 73% win rate:
-GBP/USD: 18/27 winning trades (67%)
-NZD/USD: 15/27 winning trades (71%)
-EUUSD: 15/20 winning trades (75%)
-EUGBP: 20/25 winning trades (80%)
All backtesting was done on the H1 chart. I tried on the daily and H4 charts but the frequency just wasn’t enough. In the video that I got this strategy from he was trying to highlight the importance of the frequency of your strategy. Even if it may have a really high winning percentage, if it only happens once a year it’s not a good strategy.
Also on a side note, I’ve seen a lot of conflicting opinions on whether or not the US election will effect USD pairs, do you guys think the election will mess with my strategy this upcoming week, or should I just trade my strategy and pay not attention to the results of the election?
Thanks for reading, and happy trading
Sincerely, u/emopatriot
submitted by emopatriot to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

Am I barking up the wrong tree again?

Long story short, I've been learning forex for the past 6 years on and off, searching for the holy grail of indicator combinations and only just realised they don't work. Mostly because of a youtube video I stumbled on by accident.
So is this a method of trading with higher probability of success?
Only focusing on 2 pairs I like for now....
I go to the D1 charts and plot lines around areas where price has reversed in the long run repeatedly back in time. Then I draw some boxes around these lines as areas of interest. Then as price reaches those boxes I scan down the timeframes to the H1 charts to see if price is slowing in momentum. If it is, I'll check a M15 chart to see if price is about to reverse or continue using candle stick patterns and wait for a retest of the area before taking a trade accordingly with a 1:3 RR minimum, trailing SL behind swings high or low.
Here's an example of my D1 chart - https://www.tradingview.com/x/Ei8jT88G
Would anyone be willing to be a mentor to me? I'm determined to get this right this time.
submitted by I_BA1LEY_I to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
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Building on this, a split Congress historically has been one of the best scenarios for investors.
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The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
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Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
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Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
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Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
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The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
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Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
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5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
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While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
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While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
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Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
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(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
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Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.14.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 9.14.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 After Market Close:

([CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Thursday 9.17.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 9.17.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

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Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

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Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

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Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

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Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

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Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

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Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

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Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

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IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

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Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [link] [comments]

Read Carefully Experts!

This may appear to be a noob question, but read on carefully and please try and understand the point I'm trying to make! I'm hoping your answers might be helpful to people both learning Forex and looking to get into it, so please don't hate on me for this post.
I am relatively new to FX and have learned about break and retest strategies, MACD crossovers and stop losses below structure and risk to reward ratios (usually going for 1:1 or 2/3:1) and so on. I say this only so you know I've a general (very basic) understanding of charts, price action etc.
I definitely do NOT expect to step into the markets and instantly win a majority of my trades, however, to illustrate my thoughts please note the example below.
If I am winning 2% on a winning trade and losing 1% on a losing trade (2:1 reward risk per trade), a strategy that wins just 50% of the time trading once per trading day would be +10% each month. (10 days of -1%, 10 days of +2%). +10% is a HUGE increase in accounts and if a $1000 account was +10% per month for 12 months the end of year balance would be over $3138.43 or a 213.84% return!
This leads me to a theory that almost NO system can be returning 50% on a 2:1 reward risk, even with careful trade selection (let's say I monitor the 7 major pairs, gold and GBP/JPY as I do and pick one entry a day) Am I wrong? I appreciate it is a hypothetical example designed to make a point, but my thoughts are if you monitored lots of pairs and took only ONE entry a day, we might expect to win 50% of the time.
Let's expand this further. I have seen numerous algos (can't name them but looking like they win at LEAST 50% of the time) which tempt me because they appear to indicate moves I could jump on and where I could pull a bunch of pips out of the market. However, there surely cannot be a holy grail or are people making this type of insane return? It cannot be as easy as buying an algo, signing up to $300,000 worth of FTMO funding and earning 10% per month for an easy $21,000 per month income with profit share. Or maybe it is and I'm just cynical?! I end up getting tempted by courses etc. in the hope that if I spent £400 on a good course it would open the door to what I need to do, but I'm nervous this is just another huge mistake.
I genuinely would love to trade Forex for a living. Really I would. I hope it's possible and I hope to learn a strategy I can wash, rinse and repeat. I love watching videos and live streamers who seem to have a great understanding of what's going on but I wonder if it's really possible. It seems a million miles away but I'm determined to keep learning and trading.
Reading your considered thoughts to this post would be helpful for me and I'm sure others and thank you for reading it.
submitted by mal4291 to Forex [link] [comments]

Lessons from gaining 500% in a week & losing about half of it

Hello, just want to share my experience trading forex this week. So I had about $55 in my trading account and started trading GBPJPY on Monday. Won 3 out of 4 trades. But the big wins came from the XAUUSD dump this week in which I took a lot of trades and I got lucky. Felt surreal when my account reached $350 and should’ve probably stopped. But still decided to enter trades and that’s where things got pretty bad. I still have an open trade as of writing and my equity is down. XAUUSD is a beast! Been trading for almost a year now but not regularly and I only trade small amounts. This is the 1st time I made such gain and I’m not sure if I can do this again.
Here’s a screenshot: https://i.postimg.cc/ZY37hRJX/6-F33601-E-C36-A-4702-A31-B-49986022-D6-F6.jpg
Lesson learned:
**UPDATE: Been getting DMs asking about my strategy. I use price action and I don’t use any indicators. I draw 1-2 trend lines based from previous strong support and resistance. I want a clean chart as it’s easier for me. I also did 5 years worth of backtesting. My biggest issue, as I’m sure you’ve noticed, are sticking to my trading plan (stop looking at the chart all the time after entering a trade, and closing too soon due to reversals), and discipline (don’t FOMO and setting my goals).
I still don’t consider myself as a “trader” per se, so please do your own backtesting. I was also looking for the “best strategy” when I was starting out, until I realize that your results would largely depend on your attitude vs your strategy.
submitted by vongutom to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Friday evening to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
(CLICK HERE FOR THE CHART!)
Building on this, a split Congress historically has been one of the best scenarios for investors.
(CLICK HERE FOR THE CHART!)
The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
(CLICK HERE FOR THE CHART!)
Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
(CLICK HERE FOR THE CHART!)
Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
(CLICK HERE FOR THE CHART!)

Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
(CLICK HERE FOR THE CHART!)

The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
(CLICK HERE FOR THE CHART!)
Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
(CLICK HERE FOR THE CHART!)

5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
(CLICK HERE FOR THE CHART!)
While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
(CLICK HERE FOR THE CHART!)
While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
(CLICK HERE FOR THE CHART!)

Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 11th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 9.13.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FDX
  • $ADBE
  • $CBRL
  • $ASPU
  • $LEN
  • $DAVA
  • $BRC
  • $CMD
  • $ISR
  • $APOG
  • $ICMB
  • $HMY
  • $VNCE
  • $CSBR
  • $EARS
  • $AFIB
  • $OSH
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.14.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 9.14.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 After Market Close:

([CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Thursday 9.17.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 9.17.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead StockMarket.
submitted by bigbear0083 to StockMarket [link] [comments]

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Some trading wisdom, tools and information I picked up along the way that helped me be a better trader. Maybe it can help you too.

Its a bit lengthy and I tried to condense it as much as I can. So take everything at a high level as each subject is has a lot more depth but fundamentally if you distill it down its just taking simple things and applying your experience using them to add nuance and better deploy them.
There are exceptions to everything that you will learn with experience or have already learned. If you know something extra or something to add to it to implement it better or more accurately. Then great! However, my intention of this post is just a high level overview. Trading can be far too nuanced to go into in this post and would take forever to type up every exception (not to mention the traders individual personality). If you take the general information as a starting point, hopefully you will learn the edge cases long the way and learn how to use the more effectively if you end up using them. I apologize in advice for any errors or typos.
Introduction After reflecting on my fun (cough) trading journey that was more akin to rolling around on broken glass and wondering if brown glass will help me predict market direction better than green glass. Buying a $100 indicator at 2 am when I was acting a fool, looking at it and going at and going "This is a piece of lagging crap, I miss out on a large part of the fundamental move and never using it for even one trade". All while struggling with massive over trading and bad habits because I would get bored watching a single well placed trade on fold for the day. Also, I wanted to get rich quick.
On top all of that I had a terminal Stage 4 case of FOMO on every time the price would move up and then down then back up. Just think about all those extra pips I could have trading both directions as it moves across the chart! I can just sell right when it goes down, then buy right before it goes up again. Its so easy right? Well, turns out it was not as easy as I thought and I lost a fair chunk of change and hit my head against the wall a lot until it clicked. Which is how I came up with a mixed bag of things that I now call "Trade the Trade" which helped support how I wanted to trade so I can still trade intra day price action like a rabid money without throwing away all my bananas.
Why Make This Post? - Core Topic of Discussion I wish to share a concept I came up with that helped me become a reliable trader. Support the weakness of how I like to trade. Also, explaining what I do helps reinforce my understanding of the information I share as I have to put words to it and not just use internalized processes. I came up with a method that helped me get my head straight when trading intra day.
I call it "Trade the Trade" as I am making mini trades inside of a trade setup I make from analysis on a higher timeframe that would take multiple days to unfold or longer. I will share information, principles, techniques I used and learned from others I talked to on the internet (mixed bag of folks from armatures to professionals, and random internet people) that helped me form a trading style that worked for me. Even people who are not good at trading can say something that might make it click in your head so I would absorbed all the information I could get.I will share the details of how I approach the methodology and the tools in my trading belt that I picked up by filtering through many tools, indicators strategies and witchcraft. Hopefully you read something that ends up helping you be a better trader. I learned a lot from people who make community posts so I wanted to give back now that I got my ducks in a row.
General Trading Advice If your struggling finding your own trading style, fixing weakness's in it, getting started, being reliably profitable or have no framework to build yourself higher with, hopefully you can use the below advice to help provide some direction or clarity to moving forward to be a better trader.
  1. KEEP IT SIMPLE. Do not throw a million things on your chart from the get go or over analyzing what the market is doing while trying to learn the basics. Tons of stuff on your chart can actually slow your learning by distracting your focus on all your bells and whistles and not the price action.
  2. PRICE ACTION. Learn how to read price action. Not just the common formations, but larger groups of bars that form the market structure. Those formations carry more weight the higher the time frame they form on. If struggle to understand what is going on or what your looking at, move to a higher time frame.
  3. INDICATORS. If you do use them you should try to understand how every indicator you use calculates its values. Many indicators are lagging indicators, understanding how it calculates the values can help you learn how to identify the market structure before the indicator would trigger a signal . This will help you understand why the signal is a lagged signal. If you understand that you can easily learn to look at the price action right before the signal and learn to watch for that price action on top of it almost trigging a signal so you can get in at a better position and assume less downside risk. I recommend using no more than 1-2 indicators for simplicity, but your free to use as many as you think you think you need or works for your strategy/trading style.
  4. PSYCOLOGY. First, FOMO is real, don't feed the beast. When you trade you should always have an entry and exit. If you miss your entry do not chase it, wait for a new entry. At its core trading is gambling and your looking for an edge against the house (the other market participants). With that in mind, treat as such. Do not risk more than you can afford to lose. If you are afraid to lose it will negatively effect your trade decisions. Finally, be honest with your self and bad trading happens. No one is going to play trade cop and keep you in line, that's your job.
  5. TRADE DECISION MARKING: Before you enter any trade you should have an entry and exit area. As you learn price action you will get better entries and better exits. Use a larger zone and stop loss at the start while learning. Then you can tighten it up as you gain experience. If you do not have a area you wish to exit, or you are entering because "the markets looking like its gonna go up". Do not enter the trade. Have a reason for everything you do, if you cannot logically explain why then you probably should not be doing it.
  6. ROBOTS/ALGOS: Loved by some, hated by many who lost it all to one, and surrounded by scams on the internet. If you make your own, find a legit one that works and paid for it or lost it all on a crappy one, more power to ya. I do not use robots because I do not like having a robot in control of my money. There is too many edge cases for me to be ok with it.However, the best piece of advice about algos was that the guy had a algo/robot for each market condition (trending/ranging) and would make personalized versions of each for currency pairs as each one has its own personality and can make the same type of movement along side another currency pair but the price action can look way different or the move can be lagged or leading. So whenever he does his own analysis and he sees a trend, he turns the trend trading robot on. If the trend stops, and it starts to range he turns the range trading robot on. He uses robots to trade the market types that he is bad at trading. For example, I suck at trend trading because I just suck at sitting on my hands and letting my trade do its thing.

Trade the Trade - The Methodology

Base Principles These are the base principles I use behind "Trade the Trade". Its called that because you are technically trading inside your larger high time frame trade as it hopefully goes as you have analyzed with the trade setup. It allows you to scratch that intraday trading itch, while not being blind to the bigger market at play. It can help make sense of why the price respects, rejects or flat out ignores support/resistance/pivots.
  1. Trade Setup: Find a trade setup using high level time frames (daily, 4hr, or 1hr time frames). The trade setup will be used as a base for starting to figure out a bias for the markets direction for that day.
  2. Indicator Data: Check any indicators you use (I use Stochastic RSI and Relative Vigor Index) for any useful information on higher timeframes.
  3. Support Resistance: See if any support/resistance/pivot points are in currently being tested/resisted by the price. Also check for any that are within reach so they might become in play through out the day throughout the day (which can influence your bias at least until the price reaches it if it was already moving that direction from previous days/weeks price action).
  4. Currency Strength/Weakness: I use the TradeVision currency strength/weakness dashboard to see if the strength/weakness supports the narrative of my trade and as an early indicator when to keep a closer eye for signs of the price reversing.Without the tool, the same concept can be someone accomplished with fundamentals and checking for higher level trends and checking cross currency pairs for trends as well to indicate strength/weakness, ranging (and where it is in that range) or try to get some general bias from a higher level chart that may help you out. However, it wont help you intra day unless your monitoring the currency's index or a bunch of charts related to the currency.
  5. Watch For Trading Opportunities: Personally I make a mental short list and alerts on TradingView of currency pairs that are close to key levels and so I get a notification if it reaches there so I can check it out. I am not against trading both directions, I just try to trade my bias before the market tries to commit to a direction. Then if I get out of that trade I will scalp against the trend of the day and hold trades longer that are with it.Then when you see a opportunity assume the directional bias you made up earlier (unless the market solidly confirms with price action the direction while waiting for an entry) by trying to look for additional confirmation via indicators, price action on support/resistances etc on the low level time frame or higher level ones like hourly/4hr as the day goes on when the price reaches key areas or makes new market structures to get a good spot to enter a trade in the direction of your bias.Then enter your trade and use the market structures to determine how much of a stop you need. Once your in the trade just monitor it and watch the price action/indicators/tools you use to see if its at risk of going against you. If you really believe the market wont reach your TP and looks like its going to turn against you, then close the trade. Don't just hold on to it for principle and let it draw down on principle or the hope it does not hit your stop loss.
  6. Trade Duration Hold your trades as long or little as you want that fits your personality and trading style/trade analysis. Personally I do not hold trades past the end of the day (I do in some cases when a strong trend folds) and I do not hold trades over the weekends. My TP targets are always places I think it can reach within the day. Typically I try to be flat before I sleep and trade intra day price movements only. Just depends on the higher level outlook, I have to get in at really good prices for me to want to hold a trade and it has to be going strong. Then I will set a slightly aggressive stop on it before I leave. I do know several people that swing trade and hold trades for a long period of time. That is just not a trading style that works for me.
Enhance Your Success Rate Below is information I picked up over the years that helped me enhance my success rate with not only guessing intra day market bias (even if it has not broken into the trend for the day yet (aka pre London open when the end of Asia likes to act funny sometimes), but also with trading price action intra day.
People always say "When you enter a trade have an entry and exits. I am of the belief that most people do not have problem with the entry, its the exit. They either hold too long, or don't hold long enough. With the below tools, drawings, or instruments, hopefully you can increase your individual probability of a successful trade.
**P.S.*\* Your mileage will vary depending on your ability to correctly draw, implement and interpret the below items. They take time and practice to implement with a high degree of proficiency. If you have any questions about how to do that with anything listed, comment below and I will reply as I can. I don't want to answer the same question a million times in a pm.
Tools and Methods Used This is just a high level overview of what I use. Each one of the actions I could go way more in-depth on but I would be here for a week typing something up of I did that. So take the information as a base level understanding of how I use the method or tool. There is always nuance and edge cases that you learn from experience.
Conclusion
I use the above tools/indicators/resources/philosophy's to trade intra day price action that sometimes ends up as noise in the grand scheme of the markets movement.use that method until the price action for the day proves the bias assumption wrong. Also you can couple that with things like Stoch RSI + Relative Vigor Index to find divergences which can increase the probability of your targeted guesses.

Trade Example from Yesterday This is an example of a trade I took today and why I took it. I used the following core areas to make my trade decision.
It may seem like a lot of stuff to process on the fly while trying to figure out live price action but, for the fundamental bias for a pair should already baked in your mindset for any currency pair you trade. For the currency strength/weakness I stare at the dashboard 12-15 hours a day so I am always trying to keep a pulse on what's going or shifts so that's not really a factor when I want to enter as I would not look to enter if I felt the market was shifting against me. Then the higher timeframe analysis had already happened when I woke up, so it was a game of "Stare at the 5 min chart until the price does something interesting"
Trade Example: Today , I went long EUUSD long bias when I first looked at the chart after waking up around 9-10pm Eastern. Fortunately, the first large drop had already happened so I had a easy baseline price movement to work with. I then used tool for currency strength/weakness monitoring, Pivot Points, and bearish divergence detected using Stochastic RSI and Relative Vigor Index.
I first noticed Bearish Divergence on the 1hr time frame using the Stochastic RSI and got confirmation intra day on the 5 min time frame with the Relative Vigor Index. I ended up buying the second mini dip around midnight Eastern because it was already dancing along the pivot point that the price had been dancing along since the big drop below the pivot point and dipped below it and then shortly closed back above it. I put a stop loss below the first large dip. With a TP goal of the middle point pivot line
Then I waited for confirmation or invalidation of my trade. I ended up getting confirmation with Bearish Divergence from the second large dip so I tightened up my stop to below that smaller drip and waited for the London open. Not only was it not a lower low, I could see the divergence with the Relative Vigor Index.
It then ran into London and kept going with tons of momentum. Blew past my TP target so I let it run to see where the momentum stopped. Ended up TP'ing at the Pivot Point support/resistance above the middle pivot line.
Random Note: The Asian session has its own unique price action characteristics that happen regularly enough that you can easily trade them when they happen with high degrees of success. It takes time to learn them all and confidently trade them as its happening. If you trade Asia you should learn to recognize them as they can fake you out if you do not understand what's going on.

TL;DR At the end of the day there is no magic solution that just works. You have to find out what works for you and then what people say works for them. Test it out and see if it works for you or if you can adapt it to work for you. If it does not work or your just not interested then ignore it.
At the end of the day, you have to use your brain to make correct trading decisions. Blindly following indicators may work sometimes in certain market conditions, but trading with information you don't understand can burn you just as easily as help you. Its like playing with fire. So, get out there and grind it out. It will either click or it wont. Not everyone has the mindset or is capable of changing to be a successful trader. Trading is gambling, you do all this work to get a edge on the house. Trading without the edge or an edge you understand how to use will only leave your broker happy in the end.
submitted by marcusrider to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

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