Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cari dalam skrip untuk "TAKE"
Ultimate Trader Oscillator - UTO v1Note; this is experimental / learning work -- has nothing to do with the existing "Ultimate Oscillator" -- i call this project UTOpia :)
This is based on some research work i was doing around the Balance Of Power - which i posted about in the past
the conclusion form there was a questions of, what would we get if we create an indicator that takes into consideration other factors that may be affecting momentum - so while the classic Balance of Power formula looks at where the open and close of a bar are compared to the full bar range, this is only a small part of the insight we need - when we visually inspect a price chart, we also look at many other factors. for example, how the bar closes compared to previous bar(s), how much did the bulls (or bears) managed to move the high (or low) of the bar compared to previous one, how much volume, how is the price spread ...etc
so i wanted to build an indicator that does exactly that - we will give a score of +100 / -100 to each bar based on these factors (some were identified in the linked post) -- imagine here that we are a judge in a tug of war contest (or a beauty contest if you would :)) and we give a score to the participating teams - the scores are given in different "categories" as these teams make effort to win the game (each bar) - to be totally fair, in some scoring categories, we choose to take the average of 3 points for a fair assessment - the final score is calculated based on the average from all judges - and then and average over the desired length is calculated. this score should be very fair and represents the true effort from all angles, right? that would be our UTOPIA :)
in our case, we don't use an average of total score after each category is evaluated, but rather create a directional index (similar to RSI) -- so we can avoid big spikes in the resulting numbers, and maintain a oscillator -like result.
-- the code is commented to explain the various pieces - and how the scoring happen.
the results are interesting - and you can see how the UTO stacks against the classic RSI and BoP - but it's more of a work to build on, rather than a usable indicator - although i do use it in my own trading :)
one final thought here, i came to learn after few years that the best indicators do not necessarily lead to profitable trading. from an indicator standpoint, if everyone else is trading using (for example) a moving average crossover or RSI, then a successful trader should be looking at these classic indicators too, cause these common indicators will drive the mass behavior - and will at many times trigger "self- fulfilling prophesies" in price action - but that's not the only or the biggest reason - the big reasons have to do with the fact that trading needs a lot of effort outside the charts, in researching markets, learning the discipline, then managing positions and managing the portfolio. these are all big topics to put in such short words.
i hope some will find this work inspiring.
MACD histogram relative open/closePrelude
This script makes it easy to capture MACD Histogram open/close for automated trading.
There seems to be no "magic" value for MACD Histogram that always works as a cut-off for trade entry/exit, because of the variation in market price over time.
The idea behind this script is to replicate the view of the MACD graph we (humans) see on the screen, in mathematics, so the computer can approximately detect when the curve is opening/closing.
Math
The maths for this is composed of 2 sections -
1. Entry -
i. To trigger entry, we normalize the Histogram value by first determining the lowest and highest values on the MACD curves (MACD, Signal & Hist).
ii. The lowest and highest values are taken over the "Frame of reference" which is a hyperparameter.
iii. Once the frame of reference is determined, the entry cutoff param can be defined with respect to the values from (i) (10% by default)
2. Exit
To trigger an exit, a trader searches for the point where the Histogram starts to drop "steeply".
To convert the notion of "steep" into mathematics -
i. Take the max histogram value reached since last MACD curve flip
ii. Define the cutoff with reference to the value from (i) (30% by default)
Plots
Gray - Dead region
Blue - Histogram opening
Red - Histogram is closing
Notes
A good value for the frame of reference can be estimated by looking at the timescale of the graph you generally work with during manual trading.
For me, that turned out to be ~2.5 hours. (as shown in the above graph)
For a 3-minute ticker, frame of reference = 2.5 * 60 / 3 = 50
Which is the default given in this script.
Ultimately, it is up to you to do grid search and find these hyperparams for the stock and ticker size you're working with.
Also, this script only serves the purpose of detecting the Histogram curve opening/closing.
You may want to add further checks to perform proper trading using MACD.
TA Basics: further "Steps" with our Moving AverageSo far in this series of posts, we have worked thru creating a basic zero-lag moving average, then moved forward all the way to coding a "Fibonacci" Weighted Moving Average.
in this post we take a look at a technique that can help traders minimize noise in the underlying data and get better insight on the changes that are happening in the data series represented by the moving average. we'll look at adding "stepping" to our Fibonacci Moving Average as an example. we introduce the Stepping Fibonacci Moving Average , or Step_FiMA
note that you can use the same technique with any plot you may have. feel free to copy or leverage the relevant parts of the script - the script is commented to make this easier.
How is this useful?
==================
with "stepping", you get your indicator to "round" the outcome into pre-specified bands or ranges. this works very similar to how, for example, range or Renko charts work. you can easily see the difference in the chart above once we look at a non-stepped and a stepping moving average of the same length side-by-side
the more granular your timeframe is, you will see the effect of the stepping clearer - here's how the same chart looks when we go into the 1-hr aggregation
Notes about this script
====================
there are couple of pieces i wanted to highlight in the script if you plan to use some of it :
1 - the step(x) function is meant to try to automatically pick the best "suitable" step size based on the range of the underlying series (for example, the closing price). these ranges i included here in the code are just my own "best choices" - you are totally welcome to adjust these ranges and the resulting step size to your own preference
2 - we applied the stepping as a user-choice. user can choose a manual entry, or "0" to get the code to automatically pick the step size, or enter -1 (or actually any value below zero) to cancel the stepping option altogether - this gives us some flexibility on how to use the stepping in an indicator
3 - very important (and somehow confusing): on the "rounding" approach:
the magic math formula that actually creates the stepping is this one
result = round(input / step) * step
now, this tells the script to "round" the result up or down (the basic rounding) -- so for example, a price of 17 with a step of 5 would be rounded (down) to 15, where as a price of 18 would be rounded "up" to 20 -- this is not the way some of us would expect or want, cause the price never reached 20 and they would want an 18 to still be rounded to 15 - and the stepping line not to show 20 *until* the price actually hits or exceeds 20 -- in that case, you would need to replace the function "round" with the function "floor" --
so the new formula becomes: floor(input / step) * step
-- in an ideal world, we can make this rounding choice a user-option in the settings -- maybe in an improved version
4 - we kept the smoothing option, and it takes place before the stepping is applied - we continue to use that smoothing to further minimize the level changes in the FiMA line.
I hope you find this script useful in your journey with technical analysis and DIY scripting, and good luck in your trading.
RedK_Supply/Demand Volume Viewer v1Background
============
VolumeViewer is a volume indicator, that offers a simple way to estimate the movement and balance (or lack of) of supply & demand volume based on the shape of the price bar. i put this together few years ago and i have a version of this published for another platform under different names (Directional Volume, BetterVolume) in case you come across them
what is V.Viewer
=====================
The idea here is to find a "simple proxy" for estimating the demand or supply portions of a volume bar - these 2 forces have the potential to affect the current price trend so we want an easy way to track them - or to understand if a stock is in accumulation or distribution - we want to do this without having access to Level II or bid/ask data, and without having to get into the complexity of exploring the lower timeframe price & volume data
- to achieve that, we depend on a simple assumption, that the volume associated with an up move is "demand" and the volume associated with a down move is "Supply". so we basically extrapolate these supply and demand values based on how the bar looks like - a full "green" price bar / candle will be considered 100% demand, and a full "red" price bar will be considered 100% supply - a bar that opens and closes at the same level will be 50/50 split between supply & demand.
- you may say this is a "too simple" of an assumption to make, but believe me, it works :) at least at the basic scenario we need here: i'm just exploring the volume movement and finding key levels - and it provides a good improvement compared to the classic way we see volume on a chart - which is still available here in VolumeViewer.
in all cases, i consider this to be work in progress, so i'd welcome any ideas to improve (without getting too complicated) - there's already a host of great volume-based indicators that will do the multi timeframe drill down, but that's not my scope here.
Technical Jargon & calculation
===========================
1. first we calculate a score % for the volume portion that is considered demand based on the bar shape
skip this part if it sounds too technical => if you're into coding indicators, you would probably know there are couple of different concepts for that algorithm - for example, the one used in Balance Of Power formula - which i'm a big fan of - but the one i use here is different. (how?) this is my own, ant it simply applies double weight for the "wick" parts of a price bar compared to the "body of the bar" -- i did some side-by-side comparison in past and decided this one works better. you can change it in the code if you like
2. after calculating the Bull vs Bears portion of volume, we take a moving average of both for the length you set, to come up with what we consider to be the Demand vs Supply - as usual, i use a weighted moving average (WMA) here.
3. the balance or net volume between these 2 lines is calculated, then we apply a final smoothing and that's the main plot we will get
4. being a very visual person, i did my best to build up the visuals in the correct order - then also to ensure the "study title" bar is properly organized and is simple and useful (Full Volume, Supply, Demand, Net Volume).
- i wish there was a way in Pine to hide a value that i still need to visually plot but don't want it showing its value on the study title bar, but couldn't find it. so the last plot value is repeated twice.
How to use
===========
- V.Viewer is set up to show the simplified view by default for simplicity. so when you first add it to a chart, you will get only the supply vs demand view you can see in the middle pane in the above chart
- Optional / detailed mode: go into the settings, and expose all other plots, you will be able to add the classic volume histogram, and the Supply / Demand lines - note these 2 lines will be overlay-ed on top of each other - this provides an easy way to see who is in control - especially if you change the display of these 2 lines into "area" style. This is what is showing in the lower pane in the above chart.
** Exploring Key Price Levels
- the premise is, at spots where there's big lack of balance, that's where to expect to find key price levels (support / resistance) and these price levels will come into play in future so can be used to set entry / exit targets for our trades - see the example in the AAPL chart where you can easily locate these "balance or reversal levels" using the tops/bottoms/zero-crossings from the Net Volume line
** Use for longer-term Price Analysis
- we can also use this simple indicator to gain more insights (at a high level) of the price in terms of accumulation vs distribution and if the sellers or buyers are in control - for example, in the above AAPL chart, V.Viewer tells us that buyers have been in control since October 19 - even during the recent drop, demand continued to be in play - compare that to DIS chart below for the same period, where it shows that the market was dumping DIS thru the weakness. DIS was bleeding red most of the time
Final thoughts
=============
- V.Viewer is an attempt to enhance the way we see and use Volume by leveraging the shape of the price bar to estimate volume supply & demand - and the Net between the 2
- it will work for stocks and other instruments as long as there's volume data
- note that V.Viewer does not track trend. each bar is taken in isolation of prior bars - the price may be going down and V.Viewer is showing supply going up (absorption scenario?) - so i suggest you do not use it to make decisions without consulting other trend / momentum indicators - of course this is a possible improvement idea, or can be implemented in another indicator, add in trend somehow, or maybe think of making this a +100 / -100 Oscillator .. feel free to play with these thoughts
- all thoughts welcome - if this is useful to you in your trading, please share with other trades here to learn from each other
- the code is commented - please feel free to use it as you like, or build things on top of it - but please continue to credit the author of this code :)
good luck!
-
TimeSync by KingThies TimeSync by Kingthies
Written in Pine v4
Applies one function that was published in the Tradingview Pinescript Manual
The Motivation behind this script - Time is 50% of your chart. Many ignore it entirely. This should help give an idea on how to read it and incorporate it in their analysis.
TimeSync by KingThies takes a simple concept and turns it into a visual tracking system of when timeframes of significant impact, all close at the same time.
By utilizing several high time-frames, we see overlaps in periods and more significant events occurring when multiple periods close at once.
The TFs included are 3D,1W,2W and 1M. When users use the timeframes above intraday, the resolution for these HTF's is shown. When using the LTFs, anything lower than 1D/is intraday, the user sees a similar concept but comprised of the 4H, 6H,8H and 10H charts.
Users can adjust the settings to show the HTFs in sync AND also factor in if the event was on a business quarter or new year, which adds more significance to the occurrence.
By seeing when these periods end in sync, we can assume more volatility is present in a given market, presenting various opportunities for traders to take advantage of a given situation.
Apologies in advance for any questions that come up - I will do my best to reply or respond here on Tradingview.com.
Additional Resources for this topic can be found in my account signature, located at the bottom of this post.
Strategy - Stochastic Crosses in Trending MarketThis strategy is based on Stochastic Crosses happening in the Oversold/Overbought area, taken into account the current trend which is determined by an EMA pair.
(Only Longs in uptrend / only Shorts in downtrend)
- Long position is closed when Stochastic is entering Overbought area
- Short position is closed when Stochastic is entering Overbought area
Additionally a logic is implemented to close the position when another (subsequent) Buy or Sell Signal is given after the trend has changed (to avoid fake outs)
- EMA and Stochastic settings can be changed in the settings
- Take Profit / Stop Loss can be dynamically activated in the settings (by defaults only Take Profit is activated)
- Short Position trading can be excluded in the settings (for people trading on platforms without the possibility to open Short Positions)
- Strategy time frame can be entered in the settings
Default setup seems to work well for BTC on 4HR timeframe.
Good luck!
As this is my first strategy, I am very happy for constructive feedback on how to improve this.
ST0PST0P is a kind of a TRAILING STOP LOSS INDICATOR in which users can set up LONG or SHORT trade versions and also can set up a STOP LOSS level by percent % or unit difference.
It tries to solve the problem of stop loss indicators' default BUY or SELL settings and non adjustable stop levels of % and difference change in price levels.
(Will try to make updates to add user defined start bars.)
Kıvanç Özbilgiç
Bollinger Bands Deviation - yo_adriiiiaanBollinger Band Deviations
In theory price trades within 2 standard deviations 95% of the time. This is an attempt to capture that 5% that deviates from the bands.
Useful for taking profit or signaling a reversal.
Price Swing IndicatorThis indicator shows you the highs and lows of the previous "X" amount of bars. This is an objective way of identifying previous price swings. For example, an input of "10" will show you the Swing High (SH) of the previous 10 bars and the Swing Low (SL) of the previous 10 bars. The higher the number, the higher number of bars included in the calculation. Therefore, the higher the number, the less "noise" taken into consideration. This means that higher input values will not take into consideration smaller retracements. Lower input values will take into account small retracements within larger movements.
Combo Backtest 123 Reversal & Donchian Channel Width This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Donchian Channel was developed by Richard Donchian and it could be compared
to the Bollinger Bands. When it comes to volatility analysis, the Donchian Channel
Width was created in the same way as the Bollinger Bandwidth technical indicator was.
As was mentioned above the Donchian Channel Width is used in technical analysis to measure
volatility. Volatility is one of the most important parameters in technical analysis.
A price trend is not just about a price change. It is also about volume traded during this
price change and volatility of a this price change. When a technical analyst focuses his/her
attention solely on price analysis by ignoring volume and volatility, he/she only sees a part
of a complete picture only. This could lead to a situation when a trader may miss something and
lose money. Lets take a look at a simple example how volatility may help a trader:
Most of the price based technical indicators are lagging indicators.
When price moves on low volatility, it takes time for a price trend to change its direction and
it could be ok to have some lag in an indicator.
When price moves on high volatility, a price trend changes its direction faster and stronger.
An indicator's lag acceptable under low volatility could be financially suicidal now - Buy/Sell signals could be generated when it is already too late.
Another use of volatility - very popular one - it is to adapt a stop loss strategy to it:
Smaller stop-loss recommended in low volatility periods. If it is not done, a stop-loss could
be generated when it is too late.
Bigger stop-loss recommended in high volatility periods. If it is not done, a stop-loss could
be triggered too often and you may miss good trades.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Strategy 123 Reversal & Donchian Channel WidthThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Donchian Channel was developed by Richard Donchian and it could be compared
to the Bollinger Bands. When it comes to volatility analysis, the Donchian Channel
Width was created in the same way as the Bollinger Bandwidth technical indicator was.
As was mentioned above the Donchian Channel Width is used in technical analysis to measure
volatility. Volatility is one of the most important parameters in technical analysis.
A price trend is not just about a price change. It is also about volume traded during this
price change and volatility of a this price change. When a technical analyst focuses his/her
attention solely on price analysis by ignoring volume and volatility, he/she only sees a part
of a complete picture only. This could lead to a situation when a trader may miss something and
lose money. Lets take a look at a simple example how volatility may help a trader:
Most of the price based technical indicators are lagging indicators.
When price moves on low volatility, it takes time for a price trend to change its direction and
it could be ok to have some lag in an indicator.
When price moves on high volatility, a price trend changes its direction faster and stronger.
An indicator's lag acceptable under low volatility could be financially suicidal now - Buy/Sell signals could be generated when it is already too late.
Another use of volatility - very popular one - it is to adapt a stop loss strategy to it:
Smaller stop-loss recommended in low volatility periods. If it is not done, a stop-loss could
be generated when it is too late.
Bigger stop-loss recommended in high volatility periods. If it is not done, a stop-loss could
be triggered too often and you may miss good trades.
WARNING:
- For purpose educate only
- This script to change bars colors.
DPO RMA STRATEGYThis strategy uses tradingview's built-in "Detrended Price Osciilator" ( DPO )indicator script.
It takes the average of 6 different fib lookback periods. (55,89,144,233,377,610)
This is plotted in the purple line.
It then takes the RMA of the DPO and uses the RMA's to determine entry points with crossovers and crossunders.
It's an extremely easy indicator to use. You mostly only need to adjust the last 2 inputs (These are the RMA Smoother inputs)
Works well with most any market and with any timeframe.
Works great on Heiken Ashi if you keep orders under 150. But I can't post in heiken ashi format thanks to automated traders complaining to tradingivew that they can't make any money with heiken ashi candles
And then pine coders like this that are embraced with high regard because they realized that they can spam a heiken ashi chart with over 400 trades and magically it has excessive slippage.
Double MA CCI"What is the Commodity Channel Index (CCI)?
Developed by Donald Lambert, the Commodity Channel Index (CCI) is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold. It is also used to assess price trend direction and strength. This information allows traders to determine if they want to enter or exit a trade, refrain from taking a trade, or add to an existing position. In this way, the indicator can be used to provide trade signals when it acts in a certain way.
KEY TAKEAWAYS
• The CCI measures the difference between the current price and the historical average price.
• When the CCI is above zero it indicates the price is above the historic average. When CCI is below zero, the price is below the hsitoric average.
• High readings of 100 or above, for example, indicate the price is well above the historic average and the trend has been strong to the upside.
• Low readings below -100, for example, indicate the price is well below the historic average and the trend has been strong to the downside.
• Going from negative or near-zero readings to +100 can be used as a signal to watch for an emerging uptrend.
• Going from positive or near-zero readings to -100 may indicate an emerging downtrend.
• CCI is an unbounded indicator meaning it can go higher or lower indefinitely. For this reason, overbought and oversold levels are typically determined for each individual asset by looking at historical extreme CCI levels where the price reversed from." ----> 1
SOURCE
1: (SINCE IM NOT A "PRO" MEMBER I C'ANT POST THE SOUCRE URL..., webpage consulted at : 8:50 GMT -5 ; the 2020-01-18)
I- Added a 2nd MA length and changed the default values of the source type and switched the SMA to a MA.
II- In process to add analytic MACD histogram correlation and if possible, ploting a relative histogram between the CCI upper and lower band.
P.S.:
Don't set your moving averages lengths to far from each other... This could result in fewer convergence and divergence, also in fewer crossing MA's.
Have a good year 2020 !!
//----CODER----//
R.V.
expected range STUDYThis is an indicator that measures how much price movement (low to high) we've seen in a set of 1 bar back, 2 bars back, 3 bars back, 5 bars back, 8 bars back using the Fibonacci sequence up to 89 bars back, and then measures how low or high within each range we are, sort of like giving a rating of 0 for sitting on the lower Bollinger Band and a rating of 100 for sitting on the higher Bollinger band. It combines all the data and weights the data by the historical strength of signal from each length of bands. It's been tuned to a 2 hour XBTUSD chart, but it could be used on other things and other timeframes too. Some tweaking would be needed, though. The final result works more like a trend following indictor than and indicator that tries to pick an exact trend reversal point. However, you're free to use it how you want. Frequently you get a nice red or green spike up showing you when the bottom or top is in, but sometimes those spikes are just the start of an extended down move or up move.
On the chart, a buy (long) signal is generated when the green line crosses up above the orange line. To make it extra clear the background is green when you should be long. A sell (short) signal is generated with the red line crosses up above the yellow line. The background will be red when you should be short. If the background is black, it's indicating a profit of over 53% was taken and it's waiting for another trade to start. Up to you to take profit or keep riding your trade.
For XBTUSD trades, a full take profit on any trade exceeding 53% gains works nice (on 1x leverage) and a stoploss of -7% works quite nicely too. One could use this on up to 2x leverage but I wouldn't recommend going much higher. Have fun. Trade carefully. Don't get rekt.
I will release the "expected range STRATEGY" to go along with this so you can do your own backtesting.
Disclaimer: I haven't tested the alerts, but they should work. Use at your own risk.
