Momentum ScoreMomentum is the tendency of assets that have gone up in price to continue going up in price - and for assets that have gone down in price to continue going down in price. The reasons behind it are not well understood by academics, but momentum is a property that exists across geographies and asset classes.
The Momentum Score is a system that scores companies based on their one year total returns, excluding the last month of returns. In other words, a momentum score for today will be based on the total returns of a stock from 12 months ago today to one month ago today.
Our Momentum Score 13612W has the following composition:
MS 13612W = 12 * Roc(1) + 4 * Roc(3) + 2 * Roc(6) + 1 * Roc(12)
with ROC = (p0/pt) - 1, where pt equals price p with a t-month lag
متذبذبات التمركز
TropRSIThis is a variety of RSI based on the distance from the MA. It calculates the difference between price and a user defined EMA, then it calculates the RSI for the values obtained.
I find it more reactive and at the same time more adjustable thatn normal RSI.
It also shows divergences.
Ehlers Hann Relative Strength Index [CC]The Hann Relative Strength Index was created by John Ehlers (Stocks and Commodities Jan 2022 pgs 26-28) and this indicator builds upon his Hann Window Indicator to create an unique rsi indicator that doesn't rely on overbought or oversold levels to determine a reversal point and also provides a very superior smoothing without any of the lag associated with traditional smoothing. A much more useful RSI than the standard version in my honest opinion. Short term you buy when the line turns green and sell when it turns red. Medium to long term you buy when the indicator rises above the 0 line and sell when it falls below the 0 line. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color.
Let me know if there are any other indicators or scripts you would like to see me publish!
Sharktank - MACD ExtendedThe MACD, but with added features. Features are:
* Different color schemes.
* Change between different MA types (EMA and SMA) for both the oscillator and the signal MA.
* Show normal bearish and bullish divergence on both the oscillator and the signal MA.
* Show hidden bearish and bullish divergence on both the oscillator MA and the signal MA.
* Change line styles.
Ehlers Elegant Oscillator [CC]The Elegant Oscillator was created by John Ehlers (Stocks and Commodities Feb 2022 pg 21) and for those of you who don't know, he introduced the indicators for the Fisher Transform and Inverse Fisher Transform and this is a new updated version to that idea based on his latest research. This uses a soft limiter which he says is superior to a hard limiter. There are several ways to interpret this indicator. First if the indicator is above the 0 line then it is a long term bullish trend and below 0 a long term bearish trend. Second this indicator can be used for reversal points with the peaks and valleys. Finally when the indicator line starts moving higher for example it is a bullish short term trend and vice versa. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Z Score (Close + High and Low bands)Basic z score with High and Low bands.
If z is positive = uptrend.
If z is negative = downtrend.
If z > +3 or z < -3 = reverse is possible.
H lines can act as a support/resistance.
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
MACD Objective Breakouts + AlertsFinds the most recent support and resistance level as confirmed by the MACD . These level are detected dynamically and the lines will be updated as new levels form.
Alerts can be toggled on or off in the settings but will not work if the alert is not added to your chart. Alerts can be added by selecting the "Alert" button on TradingView then selecting "MOB Alerts" as the condition
Alerts will trigger when price closes above or below the indicated levels.
Please let me know if you find any bugs!
Velocity, Acceleration, JerkJust a simple indicator. It measures the velocity, acceleration, and jerk of the price. Velocity being the rate of change of price, acceleration being the rate of change of velocity, jerk being the rate of change of acceleration.
With the default length of 50, the indicator measures the height difference of two prices 50 bars apart. This is recorded as velocity or slope. 50 bars later, a second slope is recorded. The change in this value will be the acceleration. Another 50 bars later, (a total of 150 bars) another acceleration is recorded, and the change of that value is jerk.
Positive velocity indicates the price is uptrending. Positive acceleration indicates the trend is growing, or the price is falling then rising (price will make "U" shapes for positive and "∩" shapes for negative). Positive jerk indicates higher highs and higher lows (price will transition from "∩" to "U" shapes for positive jerk and "U" to "∩" for negative jerk).
I'm not sure any of this is useful. It's just interesting to see some physics behind prices.
Note: velocity, acceleration, and jerk graphs are not to scale (they'd be too small to see if they were)
MACD + AveragesA classic MACD with average peak and dip lines. The lighter green and red horizontal lines are the average peak and dip of the entire span, respectively. The second, bolder of the two lines are the averages of the peaks and dips above and below the overall peak and dip averages. The filled in color is to help visualize these averages and possible trade setups.
Swing ComparatorHere I bring you an array of methods to compare the swings and consistency between assets.
This indicator is excellent for swing traders and scalpers looking to maximize their profits by examining which of two closely related pairs provides greater price fluctuation during given period.
This indicator works against two assets, which are to be configured in settings.
This indicator has 5 particular plots for you to examine, each which can be considered for you to contemplate which pair for you to next perform a trade on.
First off, let's start with the blue.
The blue is simply a pearson correlation coefficient, thankfully now included in tradingview. This provides a value of 1 as values show to be close correlation, 0 showing no correlation, and -1 showing negative correlation - meaning an increase in one pair correlates to a decrease in another pair. This will turn green when greater than 0.975, showing a very strong relationship between the two pairs, and red when below -0.975. This is the only plot to be interpreted on a scale from -1 to +1.
Next, we have the purple and yellow background plots, followed by the white and green moving averages. Though similar, these are all slightly different.
For each of these 4 plots, a value greater than 0 indicates greater price swings for your Symbol #1, while a value less than 0 indicates greater price swings for Symbol #2.
These calculations are performed on a per bar basis, meaning you're likely going to be examining bars longer than what you'll normally be trading on. Use confluence, as well as your own judgement for this.
For example, if symbol #1 provides a bar with an open value 1% greater or less than close, providing a 1% swing on a given bar, but symbol #2 provides 2%, the indicator will fall down toward the negative, as Symbol #2 had the greater swing.
First, yellow focuses on only open/close bar values, and thus the body of the candlestick.
Purple, on the other hand, focuses on the wicks of the candle - thus, the high/low values. I've opted to make these two different values as a wick focuses on the embodiment within the time period, and body focuses on the open/close instant.
Next, the green is an extended EMA of the purple - High/Low ratio. This is important to examine trend overtime, and reduce unneeded noise.
Lastly, the white is simply difference in the standard deviation of the particular bars, between the two symbols you have selected. The tends to usually tie up with the green pretty well.
Considering this is going to by nature be very noisy datasets, I have included in settings the option to extend an EMA for everything. They have their default settings, but if you'd like to examine the trend without an EMA, feel free to set it to 1 to eliminate its effects.
I have additionally added the ability to introduce clipping, as well as scale the correlation coefficient to remain visible when examining very short term time scales. In the future, I hope to properly normalize all plots to remain within a -1 to +1 basis. Please be patient as I have multiple projects ongoing.
Suggestions and constructive criticism are very well encouraged.
Anyone is welcome to utilize this in their code, as well, i just ask you provide credit.
As you reduce to time frames less than a day, you will likely have to reduce the coefficient min/max closer to 0.025, or just hide it entirely.
TODO:
Make it look better. Sorry, folks.
Introduce latency between pairs.
Examine significance of a coefficient of determination
Remove static weights and introduce z-score and linear normalization.
Consider adding room for a 3rd pair. This could get ugly, however.
Buy / Sell alert indicator [Crypto_BCT]Hello everyone!
I bring to your attention a indicator to determine the point of buy and sell purchase.
It is based on oscillators and a moving average.
It can be used to work with bots, for example 3COMMAS DCA bot.
Signal Condition Settings:
ATR
The current candle is larger than the ATR for this period
EMA
The signal is necessarily below (for buy) and above (for sell) the EMA of the specified period
(Buy) RSI low
The RSI index is below this value
(Sell) RSI High
The RSI index is higher than this value
(Buy) MFI low
The MFI index is below this value
(Sell) MFI High
The MFI index is higher than this value
(Buy) CCI low
CCI index is below this value
(Sell) CCI High
The CCI index is higher than this value
(Buy) Lowest bar from
The closing of the current bar is lower than the closing of the bars back in this range
(Sell) Highest bar from
The closing of the current bar is higher than the closing of bars in this range
(Buy) Lowest EMA bar ago
During a given distance back, the EMA value only decreased
(Sell) Highest EMA bar ago
At a given distance back, the EMA value only increased
I hope it will be useful!
Internal Bar Strength (ValueRay)The IBS (Internal Bar Strength) as we know it, calculates only correctly on the long side. When the candle closes in loss, the original IBS still uses the upper wick.
This IBS checks first if its an up or down candle and then uses the top or bottom wick to calculate the IBS.
The yellow line is the corrected IBS, the blue line the original
Sell alert [Crypto_BCT]Hello everybody!
I bring to your attention an indicator for determining the point of sell.
It is based on oscillators and a moving average.
Signal Condition Settings:
ATR
The current candle is larger than the ATR for this period
EMA
The signal must be above the EMA of the specified period
MFI High
The MFI index is higher than this value
CCI High
The CCI index is higher than this value
RSI High
The RSI index is higher than this value
Highest bar from
The closing of the current bar is higher than the closing of bars in this range
Highest EMA bar ago
At a given distance back, the EMA value only increased
I hope it will be useful!
Wave Trend OscillatorThis is a very standard version of the Wave Trend Oscillator.
The Channel and Average values are displayed as lines, most people display them as areas.
The Channel and Average difference is displayed as a histogram, most people display it as a tiny noisy area.
I was unable to find a standard version of the Wave Trend Oscillator.
The colorful hyped up versions of this indicator made me feel like a clown while using them.
I have essentially copied the style of the MACD with this indicator, to keep things professional.
With this WTO, you can change the timeframe and source.
You can also change the histogram average length and multiplier, making it usable.
The typical way that people display the histogram is completely unusable and just for appearance.
Now it does a decent job showing when the momentum of the WTO's downward movement is slowing down, just like how the MACD histogram works.
This indicator is essentially a normalized MACD, though they are calculated differently.
The Wave Trend Oscillator is useful for spotting/monitoring changed in mid-trend momentum.
In my experience, divergence in this indicator is a strong signal.
If the MACD is too slow for you, then this is a great alternative; without all the extra fluff people usually add to it.
NPMA Signal Provider oscillator that go below 0 and above 0Check if your indicator is above it's extremes with NPMA. Simply add the indicator in the source dropdown menu
CCI StrategyThis CCI strategy will allow you to enter a long or short off a CCI zero line cross or control entries and exits from custom upper and lower band lengths. You can set a custom upper band which it will buy when it crosses up and then a custom upper band exit which it will sell when it crosses down. For a short you can set a custom lower band which it will short when it crosses down and the custom lower band exit which it will exit the short when it crosses up. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Buy alert [Crypto_BCT]Hello everyone!
I bring to your attention a simple indicator to determine the point of purchase.
It is based on oscillators and a moving average.
It can be used to work with bots, for example 3COMMAS DCA bot.
Signal Condition Settings:
ATR
The current candle is larger than the ATR for this period
EMA
The signal is necessarily below the EMA of the specified period
MFI low
The MFI index is below this value
CCI low
CCI index is below this value
RSI low
The RSI index is below this value
Lowest bar from
The closing of the current bar is lower than the closing of the bars back in this range
Lowest EMA bar ago
During a given distance back, the EMA value only decreased
I hope it will be useful!
Automated Bitcoin (BTC) Investment Strategy from Wunderbit Automated Bitcoin (BTC) Investment Strategy from Wunderbit Trading
This strategy is designed for the automated long-term investment in Bitcoin. The BTC investment strategy is primarily suitable for long-term investors who want to increase the percentage of their investments through timely trading long-term transactions. The main feature is the difference from the indicator of long-term investment. Based on their statistics, this figure is 2 times less. That is, if we just bought Bitcoin and held it, we would receive 2 times less than if we applied the BTC Investment strategy.
This strategy uses the intersection of the triple exponential moving average and the least squares moving average. We also control the profit you will make during an uptrend by implementing a trailing stop based on the ATR indicator.
This is a spot market-only strategy and can be used primarily for long-term investors. The strategy is designed to create an automatic version of investing using a webhook.
Automation allows you to safely ignore the state of your portfolio and exclude emotions.
In order to create a cryptocurrency bot for this strategy, you need to:
1. Create alerts and link the URL to the webhook.
2. Connect the TradingView strategy with automated trading service.
Closing MomentumClosing momentum calculates the moving averages of closes and highs vs previous highs plus those of closes and lows vs previous lows to create momentum moving averages. Closes above/below previous highs/lows are weighted more strongly than new high or low wicks above/below a previous highs or lows.
If momentum is up, the background will shade green; brighter is stronger. If momentum is down, likewise with red.
Shifts in momentum are indicated by symbols: triangles indicate a minor shifts, arrows moderate, big arrows major. Likewise, the shade of the symbols indicates strength (darker is stronger).
Using the indicator: long continuous stretches of the same color indicate trend - deeper is stronger. If the shade is lightening or clears and/or if symbols of the other color start appearing, the trend is weakening.
[Sextan] B-Xtrender BacktestLevel: 1
NOTE: This is a request by @scantor516 to backtest B-Xtrender @PuppyTherapy by QuantTherapy with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
Courtesy of QuantTherapy for his B-Xtrender @PuppyTherapy
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
[Sextan] Haos Vieual BacktestLevel: 1
NOTE: This is a request by @scantor516 to backtest Haos Visual @PuppyTherapy by QuantTherapy with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error.
Courtesy of QuantTherapy for his Haos Visual @PuppyTherapy
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Spread CRYPTO USDT VS PERPSimple spread script.
Calculate the difference between USDT and USDTPERP for major exchanges.
For use only with USDT charts
Works with all crypto if a future contract exists.
Upcoming updates
Mad StrategyThis is a compile of my trading suite.
Because it is so simple I can describe much of it.
Just try it, green for buy and red for sell.
