Combo Backtest 123 Reversal & Relative Volatility Index 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 RVI is a modified form of the relative strength index (RSI). 
 The original RSI calculation separates one-day net changes into 
 positive closes and negative closes, then smoothes the data and 
 normalizes the ratio on a scale of zero to 100 as the basis for the 
 formula. The RVI uses the same basic formula but substitutes the 
 10-day standard deviation of the closing prices for either the up 
 close or the down close. The goal is to create an indicator that 
 measures the general direction of volatility. The volatility is 
 being measured by the 10-days standard deviation of the closing prices. 
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Reversal
Combo Backtest 123 Reversal & Relative Momentum Index 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 Relative Momentum Index (RMI) was developed by Roger Altman. Impressed 
 with the Relative Strength Index's sensitivity to the number of look-back 
 periods, yet frustrated with it's inconsistent oscillation between defined 
 overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
 As mentioned, the RMI is a variation of the RSI indicator. Instead of counting 
 up and down days from close to close as the RSI does, the RMI counts up and down 
 days from the close relative to the close x-days ago where x is not necessarily 
 1 as required by the RSI). So as the name of the indicator reflects, "momentum" is 
 substituted for "strength". 
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Combo Backtest 123 Reversal & Recursive Moving Trend Average 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
 Taken from an article "The Yen Recused" in the December 1998 issue of TASC, 
 written by Dennis Meyers. He describes the Recursive MA in mathematical terms 
 as "recursive polynomial fit, a technique that uses a small number of past values 
 of the estimated price and today's price to predict tomorrows price."
 Red bars color - short position. Green is long.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Combo Backtest 123 Reversal & RAVI 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 indicator represents the relative convergence/divergence of the moving 
 averages of the financial asset, increased a hundred times. It is based on 
 a different principle than the ADX. Chande suggests a 13-week SMA as the 
 basis for the indicator. It represents the quarterly (3 months = 65 working days) 
 sentiments of the market participants concerning prices. The short moving average 
 comprises 10% of the one and is rounded to seven.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Combo Backtest 123 Reversal & Rainbow Oscillator 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
 Ever since the people concluded that stock market price movements are not 
 random or chaotic, but follow specific trends that can be forecasted, they 
 tried to develop different tools or procedures that could help them identify 
 those trends. And one of those financial indicators is the Rainbow Oscillator 
 Indicator. The Rainbow Oscillator Indicator is relatively new, originally 
 introduced in 1997, and it is used to forecast the changes of trend direction.
 As market prices go up and down, the oscillator appears as a direction of the 
 trend, but also as the safety of the market and the depth of that trend. As 
 the rainbow grows in width, the current trend gives signs of continuity, and 
 if the value of the oscillator goes beyond 80, the market becomes more and more 
 unstable, being prone to a sudden reversal. When prices move towards the rainbow 
 and the oscillator becomes more and more flat, the market tends to remain more 
 stable and the bandwidth decreases. Still, if the oscillator value goes below 20, 
 the market is again, prone to sudden reversals. The safest bandwidth value where 
 the market is stable is between 20 and 80, in the Rainbow Oscillator indicator value. 
 The depth a certain price has on a chart and into the rainbow can be used to judge 
 the strength of the move.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Combo Backtest 123 Reversal & Qstick Indicator 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
 A technical indicator developed by Tushar Chande to numerically identify 
 trends in candlestick charting. It is calculated by taking an 'n' period 
 moving average of the difference between the open and closing prices. A 
 Qstick value greater than zero means that the majority of the last 'n' days 
 have been up, indicating that buying pressure has been increasing. 
 Transaction signals come from when the Qstick indicator crosses through the 
 zero line. Crossing above zero is used as the entry signal because it is indicating 
 that buying pressure is increasing, while sell signals come from the indicator 
 crossing down through zero. In addition, an 'n' period moving average of the Qstick 
 values can be drawn to act as a signal line. Transaction signals are then generated 
 when the Qstick value crosses through the trigger line.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
[GJ]IFRSITHE INVERSE FISHER TRANSFORM STOCH RSI 
 HOW IT WORKS 
This indicator uses the inverse fisher transform on the stoch RSI for clear buying and selling signals. The stoch rsi is used to limit it in the range of 0 and 100. We subtract 50 from this to get it into the range of -50 to +50 and multiply by .1 to get it in the range of -5 to +5. We then use the 9 period weighted MA to remove some "random" trade signals before we finally use the inverse fisher transform to get the output between -1 and +1
 HOW TO USE 
Buy when the indicator crosses over –0.5 or crosses over +0.5 if it has not previously crossed over –0.5.
Sell when the indicator crosses under +0.5 or crosses under –0.5 if it has not previously crossed under +0.5.
We can see multiple examples of good buy and sell signals from this indicator on the attached chart for QCOM. Let me know if you have any suggestions or thoughts!
Dilip Reversal Points 1This indicator is very simple, but surprisingly effective, and I haven't found any mention of something similar, so here it is. I hope it helps you in your stock trading.
What's more, is that the stock would often respond to the high and low values of that candle later on in the day. It turned out to be quite an important support and resistance level indicator for stocks which I've used in my trading ever since I discovered it.
After testing it out day after day on multiple stocks, I decided to write this indicator, which not only projects the high and low values of the candle, but also the previous day's closing price.
If you find that there's another out there for Forex or Crypto, please let me know!
You have the option to set the  to another time, if you want to experiment with things. White line will act as support and resistance
I hope it helps,
Note: Since Reversal Points Indicator works in ALL Segments only amounts vary across the board. The background height is set to readjust based on the highest bars. This lookback amount is adjustable by the user and it does not affect calculations what so ever.
For access, send me a DM on TradingView
Dilip Reversal PointsThis indicator is very simple, but surprisingly effective, and I haven't found any mention of something similar, so here it is. I hope it helps you in your stock trading.
 What's more, is that the stock would often respond to the high and low values of that candle later on in the day. It turned out to be quite an important support and resistance level indicator for stocks which I've used in my trading ever since I discovered it.
After testing it out day after day on multiple stocks, I decided to write this indicator, which not only projects the high and low values of the candle, but also the previous day's closing price.
If you find that there's another "magic candle" out there for Forex or Crypto, please let me know!
You have the option to set the "magic candle" to another time, if you want to experiment with things. White line will act as support and resistance
I hope it helps,
Note: Since Reversal Points Indicator works in ALL Segments only amounts vary across the board. The background height is set to readjust based on the highest bars. This lookback amount is adjustable by the user and it does not affect calculations what so ever.
For access, send me a DM on TradingView
Simple Macd Momentum Reversal IndicatorThis Simple indicator uses the MACD history to check trend reversals. It primarily check if the histogram has moved up from a downtrend above a certain margin. If it has, it places a green B on the chart. If you were to use/improve this indicator, please use it with other indicators to confirm your position. This is NOT an indicator that can be well used alone.
Raff Regression Channel by DGTRᴀꜰꜰ Rᴇɢʀᴇꜱꜱɪᴏɴ Cʜᴀɴɴᴇʟ (RRC) 
This study aims to automate Raff Regression Channel drawing either based on ZigZag Indicator or optionally User Preference 
 The Raff Regression Channel , developed by Gilbert Raff,  is based on a linear regression, which is the least-squares line-of-best-fit for a price series, with  evenly spaced trend lines above and below . The width of the channel is set by determining the high or low that is the furthest from the linear regression. 
Because the channel distance is based off the largest pullback or highest peak within a trend, for effectively drawing and using a Raff Regression Channel it is recommend/required that a Raff Regression Channel is applied to “mature” trends. Knowing this requirement, for better automated drawing results this study benefits from the Zig Zag Indicator, where the Zig Zag indicator is used to help identify price trends and changes in price trends. Option to manually adjust lengths for drawing a Raff Regression Channel is also made available.
 Using a Raff Regression Channel  
Once The Raff Regression Channel is drawn, covering an existing trend,  Exᴛᴇɴꜱɪᴏɴ Lɪɴᴇꜱ  are drawn to identify  ᴛʜᴇ ꜱᴜᴘᴘᴏʀᴛ﹐ʀᴇꜱɪꜱᴛᴀɴᴄᴇ ᴏʀ ʀᴇᴠᴇʀꜱᴀʟ ᴘᴏɪɴᴛꜱ 
The trend is up as long as prices rise within this channel. An uptrend may be reversing (not always, but likely) when price breaks below the  channel extension . The trend is down as long as prices decline within the channel. Similarly, a downtrend may be reversing (not always, but likely) when price breaks above the  channel extension . Moves outside the channel extensions can be indication of a reversal or can denote overbought or oversold conditions
For further details please refer to education post  Raff Regression Channel 
█  FEATURES 
     - AUTO or MANUALLY adjusted Raff Regression Channel and Channel Extentions drawing
     - ALERTs, for Linear Regression Line, Raff Regression Upper and Lower Channel Extentions 
     -  LSMA , Least Squares Moving Average, in other words Linear Regression Curve
█  SETTINGS 
Setting Loopback and Number of Bars are the most important part for The Raff Regression Channel, where ;
     - Lookback, defines where the Raff Regression Channel is starting, it is recommended to set to a trend begining
     - Number of Bars, defines how many bars to be assumed for calculation, or simply stated the end of the Raff Regression Channel drawing (not extentions but the main channel, extentions by default will be drawn till the last bar)
Setting of Loopback and Number of Bars is performed eigher automatically based on Zig Zag indicator or users may prefer to set them manually. If selected automatically then 
     - Deviation and Depth values of Zig Zag indicator are used for calculations  (enabling visually plotting of ZigZag Lines will help to identify better visually the points), where ;
Deviation, is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot. 
Depth, affects the minimum number of bars that will be taken into account when building
Short-term traders may wish to apply the channel to small waves of a trend so they can reduce the value of the Deviation and Depth 
█  OTHER CHANNEL CONSEPTS
Linear Regression Channels, ,  what linear regression channels are?  and  linear regression channel/curve/slope study 
Fibonacci Channels,  how to apply fibonacci channels  and  automated fibonacci channels study 
Andrews’ Pitchfork,  how to apply pitchfork  and  automated pitchfork study 
Special Thanks to  @Kiss66000 for his kind suggestion, je vous remercie beaucoup @Kiss66000 
 Disclaimer :
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
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
Adjustable MA & Alternating Extremities [LuxAlgo]Returns a moving average allowing the user to control the amount of lag as well as the amplitude of its overshoots thanks to a parametric kernel. The indicator displays alternating extremities and aims to provide potential points where price might reverse. 
Due to user requests, we added the option to display the moving average as candles instead of a solid line.
 Settings  
 
 Length: MA period, refers to the number of most recent data points to use for its calculation.
 Mult: Multiplicative factor for each extremity.
 As Smoothed Candles: Allows the user to show the MA as a series of candles instead of a solid line.
 Show Alternating Extremities : Determines whether to display the alternating extremities or not.
 Lag: Controls the amount of lag of the MA, with higher values returning a MA with more lag.
 Overshoot: Controls the amplitude of the overshoots returned by the MA, with higher values increasing the amplitude of the overshoots.
 
 Usage 
Moving averages using parametric kernels allows users to have more control over characteristics such as lag or smoothness; this can greatly benefit the analyst. A moving average with reduced lag can be used as a leading moving average in a MA crossover system, while lag will benefit moving averages used as slow MA in a crossover system.
Increasing 'Lag' will increase smoothness while increasing 'overshoot' will reduce lag.
  
The following indicator puts more emphasis on its alternating extremities, an upper extremity will be shown once the high price crosses the upper extremity, while a low extremity will be shown once the low price crosses the lower extremity. These can be interpreted like extremities of a band indicator.
  
The MA using a length value of 200 with a multiplicative factor of 1.
In general, extremities will effectively return points where price might potentially bounce in ranging markets while closing prices under trending markets will often be found above an upper extremity and under a lower extremity. 
Reducing the lag of the moving average allows the user to obtain a more timely estimate of the underlying trend in the price, with a better fit overall. This allows the user to obtain potentially pertinent extremities where price might reverse upon a break, even under trending markets.
  
In the above chart, the price initially breaks the upper extremity, however, we can observe that the upper extremity eventually reaches back the price, goes above it, provides a resistance, and effectively indicates a reversal.
Users can plot candles from the moving average, these are fairly similar to heikin-ashi candles in the sense that  CandleOpen(t) ≠ CandleClose(t-1) , each point of the candle is calculated as follows for our indicator:
 
 Open = Average between MA(t-1) and MA(t-2)
 High = MA using the high price as input
 Low = MA using the low price as input
 Close = MA using the closing price as input
 
  
 Details 
Lag is defined as the effect of moving averages to reflect past price variations instead of new ones, lag can be observed by the user and is the main cause of false signals. Lag is proportional to the degree of filtering returned by the moving average.
Overshooting is a common effect encountered in non-lagging moving averages, and is defined as the tendency of a moving average to exceed a maximum level (or minimum level, which can be defined as  undershooting )
  
MA and rolling maximum/minimum, both using a length of 50 bars. While we can think of lag as a cost of smoothness, we can think of overshooting as a cost for reduced lag on some occasions.
Explaining the kernel design behind our moving average requires understanding of the logic behind lag reduction in moving averages. This can prove to be complex for non informed users, but let's just focus on the simpler part; moving averages can be defined as a weighted sum between past prices and a set of coefficients (kernel).
 MA(t) = b(0)C(t) + b(1)C(t-1) + b(2)C(t-2) + ... + b(n-1)C(t-n-1) 
Where  n  is the period of the moving average. Lag is (non optimally) reduced by "underweighting" past prices - that is multiplying them by negative numbers.
The kernel used in our moving average is based on a modified sinewave. A weighted sum making use of a sinewave as a kernel would return an oscillator centered at 0. We can divide this sinewave by an increasing linear function in order to obtain a kernel allowing us to obtain a low lag moving average instead of a centered oscillator. This is the main idea in the design of the kernel used by our moving average.
The kernel equation of our moving average is:
 sin(2πx^α)(1 - x^β) 
With  1>x>0 , and where  α  controls the lag, while  β  controls the overshoot amplitude. 
Using this equation we can obtain the following kernels:
  
Here only  α  is changed, while  β  is equal to 1. Values to the left would represent the coefficients for the most recent prices. Notice how the most significant coefficients are given to the oldest prices in the case where  α  increases.
Higher overshoot would require more negative values, this is controlled by  β 
  
Here only  β  is changed, while  α  is equal to 1. Notice how higher values return lower negative coefficients. This effectively increases the overshoots amplitude in our moving average. We can decrease  α  in order for these negative coefficients to underweight more recent values.
Using  α = 0  allows us to simplify the kernel equation to:
 1 - x^β 
Using this kernel we can obtain more classical moving averages, this can be seen from the following results:
  
Using  β = 1  allows us to obtain a linearly decreasing kernel (the one of a WMA), while increasing allows the kernel to converge toward a rectangular kernel (the one of SMA).
Bottom Touch[Dizart]--------------- ---------------
The indicator determines the bottom in the market, from which a rebound or a global reversal may start with a high probability. Works on any symbol or market.
 
tuning - If the asset is low volatility, then the price often does not reach the bottom. Adjust the `Bottom Touch` to the closest bottom on the graph.
--------------- ---------------
Индикатор определяет дно на рынке, от которого с большой вероятность может начаться отскок или глобальный разворот.  Работает на любом символе или рынке.
 
tuning  - Если актив низковолатильный, то цена часто не доходит до дна. Отрегулируйте `Bottom Touch` до ближайшего дна на графике.
QFLOW SUITE QFLOW SUITE   is a signal-based comprehensive trading suite for trading across all timeframes. It is designed to be a tool for discretionary traders and there are numerous ways to utilize this trading suite.
  INCLUDES   : 
 
    Buy / Sell Signals  
    Candle Coloring  
    Automatic Level Plotting  
   Trend Following System  
   Stop Loss Management System 
   Trend Reversal Mechanisms 
   Volatility Breakout Algorithm 
   Mean Reversion Algorithm 
 
    Buy / Sell Signals  
There are multiple conditions detected by QFLOW Algorithm which are constantly worked on and improved
  
  
    Candle Coloring  
Color coding allows information compression and helps traders analyze the charts in a simple and intuitive manner. The base coloring is meant for trend following and consists of 3 colors : 
  Green - Trend up 
  Grey - Rangebound Consolidation  
  Red - Trend down 
The second type of candle coloring is for the special conditions like buy / sell signals or divergences. 
 Volatility Breakout Algorithm 
This part of the algorithm identifies a volatility breakout before it happens by showing a colored shaded squeeze which happens during consolidation. When a potential breakout is detected, an arrow is printed below or above that candle depending on the direction. Most times a second arrow is needed to signal a confirmed breakout. This arrow will be plotted with a 'B' or 'S' in the same color as the arrow.
  False Breakout Detection  
The algorithm is taught to detect these kind of false breakouts and prints a signal as an arrow with an 'F' below or above the candle.
  
  
 Mean Reversion Algorithm 
A hybrid algorithm that takes both momentum and mean reversion into account for high accuracy.
  
  
 Automatic Level Plotting 
  
  
  
 Stop Loss Management System 
QFLOW SUITE contains an adaptive trailing ATR system that can be used for stop loss management. It is plotted as a line below the price when the trend is up and above the price when the trend is down. It is highly effective because it is designed to adapt both to the true range ( a measure of the degree of price volatility ) as well as to the average direction change.
  
 Extreme Background Highlighting 
The algorithm is taught to analyze multiple technical components. When this option is turned on it will highlight the background when these extreme conditions are met. These highlights will often occur at the tops or bottoms and during times of high volatility. A trader can use this option as extra confluence when making certain trading decisions like taking profits or closing out trades. 
Combo Backtest 123 Reversal & Psychological line 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
 Psychological line (PSY), as an indicator, is the ratio of the number of 
 rising periods over the total number of periods. It reflects the buying 
 power in relation to the selling power.
 If PSY is above 50%, it indicates that buyers are in control. Likewise, 
 if it is below 50%, it indicates the sellers are in control. If the PSY 
 moves along the 50% area, it indicates balance between the buyers and 
 sellers and therefore there is no direction movement for the market.
 WARNING:
 - For purpose educate only
(JS) BallistaAlright so this is a script I made by combining two existing ones and making a really cool discovery that has proven very useful.
You'll notice that there are two separate oscillators that are laid on top of each other. The background oscillator is my  "Tip-and-Dip"  oscillator  which you can see here  (will refer to this as TnD from here), and the foreground oscillator from  the Squeeze ,  which can be viewed here .
Initially I just wanted to see how they interacted with one another and compare them, but this led to some pretty interesting observations.
First let me go through the options real quick to get that out of the way, though it is mostly self-explanatory.
 Lookback Period  defines the amount of bars used for the TnD oscillator.
 Smoothing Value  smooths out the TnD output.
 Standard Deviations  is used to calculate the TnD formula.
 Color Scheme  is preset BG colors.
 Using Dark Mode  changes colors based on dark mode or not.
 Squeeze Momentum On  turns the Squeeze in the foreground off and on.
 Arrows Off  turns the arrows on the indicator off and on.
Now to explain the indicator a bit more. I have the default lookback period as 40 due to the Squeeze being 20, which makes the TnD oscillator the "slow" output with the Squeeze being the "fast" output.
Some initial observations were that when both the Squeeze and the TnD are moving in the direction, when the Squeeze is higher (uptrend) or lower (downtrend) it seems to indicate strength in the move. As the move loses steam you'll notice the Squeeze diverge from the TnD.
However, the most useful thing I discovered about the interaction between these two indicators is where the name for it came from. So if you aren't familiar with what a Ballista is, per Wikipedia, "The ballista... sometimes called bolt thrower, was an ancient missile weapon that launched either bolts or stones at a distant target." There are instances where the Squeeze seems to get ahead of itself and gets too far away from the TnD (which is the long term trend between the two). The key thing to look for is an "inverted squeeze" - this is when the squeeze oscillator ends up flipping against the TnD. When this occurs there is an extremely high probability that you'll see price shoot back the opposite way of the Squeeze. 
I've been using this setup myself for about a year now and have been very satisfied with the results thusfar. I circled some examples on the SPX daily chart here to show you what I mean with the inverted Squeeze shooting back.
High Low Reversal This bot makes use of an algorithm which detects new highs and lows. When doing long trades, the bot will trigger a buy order on a newly made low. When making shorts, the bot will trigger a short trade on new highs.
Currently, the bot is optimized for cryptocurrencies on the M15 time frame. With the right amount of leverage and portfolio optimization this bot can obtain very strong results.
Feel free to optimize it to your own liking on different assets and/or time frames.
This bot performs exceptionally well in trending markets. Currently, it's only making long trades, but you can make it do short trades in the control panel.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 50%. Since the bot only makes one trade at a time you can allow it to use a bigger portion of your balance per trade.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
Combo Backtest 123 Reversal & Prime Number Oscillator 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
 Determining market trends has become a science even though a high number or people 
 still believe it’s a gambling game. Mathematicians, technicians, brokers and investors 
 have worked together in developing quite several indicators to help them better understand 
 and forecast market movements.
 Developed by Modulus Financial Engineering Inc., the prime number oscillator indicates the 
 nearest prime number, be it at the top or the bottom of the series, and outlines the 
 difference between that prime number and the respective series.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Chameleon indictor ║Tops and bottoms- This indicator uses a modified type of ADX, that offers a cleaner layout and improved signals. The indicator can be used by traders to identify possible tops, bottoms and changes in trends 
- If the purple line moves downward after having been inside of the red line signals that a security possibly can have reached the bottom
- If the purple line moves upward after having been inside of the green line signals that a security possibly can reached the top
- The middle acts as a confirmation of the signal
// I have drawn lines on the chart to give examples of what the signals look like
Combo Backtest 123 Reversal & Prime Number Bands 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
 Determining market trends has become a science even though a high number 
 or people still believe it’s a gambling game. Mathematicians, technicians, 
 brokers and investors have worked together in developing quite several 
 indicators to help them better understand and forecast market movements.
 The Prime Number Bands indicator was developed by Modulus Financial Engineering 
 Inc. This indicator is charted by indentifying the highest and lowest prime number 
 in the neighborhood and plotting the two series as a band.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
HOLP/LOHPThe HOLP strategy was developed by trader-author John F. Carter in his book 'Mastering the trade: proven techniques for profiting from intraday and swing trading set ups' (ISBN 0-07-145958-8). The strategy, which gives buy signals, is a reversal strategy. Reversal strategies try to determine the point in time when a trend reverses direction. In his book John F. Carter is actually skeptical of taking a position against the trend, quoting classics like "never catch a falling knife" (buy a steep sell off) and "never step in front of a train" (short sell a strong market). Given his skepticism he decides to base his strategy on the one single factor which he deems relevant: the market price.
Combo Backtest 123 Reversal & Positive Volume Index 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 theory behind the indexes is as follows: On days of increasing volume, 
 you can expect prices to increase, and on days of decreasing volume, you can 
 expect prices to decrease. This goes with the idea of the market being in-gear 
 and out-of-gear. Both PVI and NVI work in similar fashions: Both are a running 
 cumulative of values, which means you either keep adding or subtracting price 
 rate of change each day to the previous day`s sum. In the case of PVI, if today`s 
 volume is less than yesterday`s, don`t add anything; if today`s volume is greater, 
 then add today`s price rate of change. For NVI, add today`s price rate of change 
 only if today`s volume is less than yesterday`s.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.
Combo Backtest 123 Reversal & Pivot Point V2 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
 Pivot points simply took the high, low, and closing price from the previous period and 
 divided by 3 to find the pivot. From this pivot, traders would then base their 
 calculations for three support, and three resistance levels. The calculation for the most 
 basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and 
 resistance levels.
 WARNING:
 - For purpose educate only
 - This script to change bars colors.






















