[Sextan] Fisher Transform BacktestLevel: 1
NOTE: This is a request by @Uni_ve12se to backtest Ehlers Fisher Transform by cheatcountry with my Sextan framework. I ONLY take 5 minutes to perform it and how much time would you cost for this work? 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 cheatcountry for his Ehlers Fisher Transform indicator
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.
Blackcat1402
[Sextan] M-Oscillator BacktestLevel: 1
NOTE: This is a request by @scantor516 to backtest M-Oscillator by Mango2Juice with my Sextan framework. I ONLY take 5 minutes to perform it and how much time would you cost for this work?
Courtesy of Mango2Juice for M-Oscillator script.
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.
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] KAMA BacktestLevel: 1
NOTE: This is ONLY an EXAMPLE on HOW-TO produce a customized "{Sextan} PINEv4 Sextans Backtest Framework" with intput signal source as my "{blackcat} L2 Perry Kaufman Adaptive MA (KAMA)" quickly and drawing on main chart. 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.
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] Backtesting with L2 Reversal Labels as an input sourceLevel: 1
NOTE: This is ONLY an EXAMPLE on HOW-TO produce a customized "{Sextan} PINEv4 Sextans Backtest Framework" intput signal with "(blackcat) L2 Reversal Labels", and 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.
I use two simple moving average crossings to produce long and short entry signal with SMA3 and SMA8 in the example.
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] Your Indicator SourceLevel: 1
NOTE: This is ONLY an EXAMPLE on HOW-TO produce a customized "{Sextan} PINEv4 Sextans Backtest Framework" intput signal source, 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.
I use two simple moving average crossings to produce long and short entry signal with SMA3 and SMA8 in the example.
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.
[blackcat] L1 Fibonacci CounterLevel: 1
Background
I believe that many traders must be familiar with the Fibonacci sequence. In live trading, we also use the Fibonacci sequence to predict the probability of a change in direction at an important stage of the market. , In the market analysis method, the Fibonacci sequence appears frequently.
Function
Drawing Fibonacci cycles manually is usually more labor-intensive. Here I tentatively implement a technical indicator that automatically draws Fibonacci time windows. It can automatically locate the high and low points of historical prices, and count them. When the period displayed by the counter is a Fibonacci number, it will be highlighted with a yellow background color and marked with the Fibonacci number. value.
Inputs
Counter Max Lookback --> Default 987.
Key Signal
Red bgcolor --> historical high with Fib hits
Green bgcolor --> historical low with Fib hits
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L3 Whale SniperLevel: 3
Background
This indicator is my attempt to sniper whale fund in short-mid time frame.
Function
The major part of this indicator is a novel trend oscillator which can use to detected oversold and overbought. With this kind of feature, a whale sniper model can be built for the condtion is after a panic rolling off of price into oversold zone, a sniper zone may happen in advance of whale fund. The yellow color zone is the whale sniper zone indicator, along with a standard long position set up zone with lime color background color. NOTE: when yellow and lime color overlay which indicates a resonance happens. This is a kind of signal with higher confidence level of buy!
Inputs
Sinper Factor --> Default 5.
Key Signal
Trend --> trend oscillator output
Trend(1) --> trigger sgnal for trend ocillator
Yellow bgcolor --> whale sniper zone
Lime bgcolor --> standard long oppotunity zone
Remarks
This is a Level 3 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L5 Price Positioning Index for Market SeasonsLevel: 5
Background
Are you tired of traditional Japanese candlesticks? Do you want to try a new type of candle master chart? This is my private L5 version, which introduces "Market Season Bands" for oversold and overbought status, historical resistance and support arrows in dynamic forms, inherent pyramiding for buy and sell.
Function
L3 Price Positioning Index is totally brand-new candle chart invented by myself. This main chart can provide effective resistance and support levels, and you can see where the price is running at any time. There are 3 key color bands. Blue-Green gredient band is used to indicate oversold support or breakthrough support levels; the color is blue means extreme oversold, green means oversold you can ignore. This band indicates the season of market entering "Winter". The Green-Orange band indicates the midline position where prices may pause; the green color here means bear middle while orange color here means bull middle. Accordingly, middle band color indicates market season entering "Spring or Autumn" . Finally, Pink-Red band indicates overbought resistance or breakthrough resistance levels; the pink color means market season is NOT bullish while the red color indicates it is a good market season to long. top band color indicates the market season entering "Summer". Enjoy your "Summer" with profit!
There are two types of candlestick charts.
The first type candles are mid-to-long-term trend candles, navy represents an uptrend and the length of the candle represents a change in intensity; maroon represents a downward trend and the length of the candle represents a change in intensity. You can find principle in L5 Price Positioning Index code. In L5 version, to simplif the visual effect, the display is hidden. This trend candle is the effective support and resistance level of the second type short-term swing candle.
The second type candles are short-term candles fluctuate around the first medium- and long-term trend candles. The second short-term candle is divided into five colors: green means pump; red means retracement in the ascending process; blue and yellow means bearish rebounce and trend reversal signal; white means dump; blue means price rebound in the descending process. I describe these in raindrop or snow-drop form, which can be quite familar for you to imagine the temperature of the market :).
Key Signal
THREE KEY LINES:
htop --> Pink-Red band, "Market in Summer", overbought resistance or pump breakout threshold
hmid --> Green-Orange band, "Market in Spring or Autumn", price pause zone, sideways may happen here
hbot --> Blue-Green gredient band, "Market in Winter", oversold support or dump breakout threshold
MID-LONG TERM CANDLES:
colorful trend line, it is an important support or resistance for short term price movements and the bull-bear boundary for market seasons.
SHORT TERM CANDLES:
1. bear rebounance --> rebounce in down trend candle with blue color
2. pump --> up trend pump candle with green color
3. trend reversal --> trend reversal candle with yellow color
4. dump --> bearish dump candle with white color
5. bull retracement --> retracement in up trend candle with red
Pros and Cons
Pros:
1. Long term trend identification by three lines for overbought, oversold and breakouts
2. Mid term trend support and resistance with a colorful boundary
3. Short term price behaviors are classified into 5 types of candles in blue, green, yellow, red and white
Cons:
I invent this to solve traditional JP candlestick shortcomings. If you find anything on Cons, just feedback to me for improvements.
Remarks
1. Closed-source, Invite-only, NOT free. (Free version is available by search "L3 Price Positioning Index")
2. Highl recommended to use this indicator for >= 4H timeframe, which means this is powerful for swing trading.
3. IMPORTANT!!! To have superior visual effect, you need to enter "Chart Setting" --> "Symbol" --> TURN OFF "Body", "Borders" and "Wick" of traditional JP candles.
Subscription
500 Tradingview Coins per Monthly Sub.
500X10 Tradingview Coins per Yearly Sub.
[blackcat] L2 Intraday R-Breaker IndicatorLevel: 2
Background
The famous R-Breaker is a short-term intraday trading strategy that combines trend and reversal trading methods.
Function
-1) When the intraday highest price exceeds the observed selling price, and the intraday price drops and further breaks below the support line constituted by the reverse selling price, a reversal strategy is adopted, that is, at this point (backhand, open position) ) Short;
-2) When the intraday lowest price is lower than the observed purchase price, and the intraday price rebounds and further exceeds the resistance line constituted by the reverse purchase price, a reversal strategy is adopted, that is, at this point (backhand, open position) ) Long;
-3) In the case of a short position, if the intraday price exceeds the breakthrough buying price, a trend strategy is adopted, that is, open a long position at that point;
-4) In the case of a short position, if the intraday price breaks below the selling price, a trend strategy is adopted, that is, open a short position at that point.
Key Signal
pivot --> pivot pionts
reverse_sell_price --> pivot points,reverse selling prices: senter
observe_sell_price --> bserve selling price: ssetup
break_bid_price --> breakthrough bid price: bbreak1
reversal_bid_price --> reversal bid price: bbreak2
observe_buy_price --> observe buy price: bsetup
break_sell_price --> break sell price: sbreak
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Wave OscillatorLevel: 1
Background
GET wave theory indicator series contain a indicator called wave oscillator.
Function
This is a modified version of GET wave oscillator with enhanced moving averages which alleviate lag issue to some degree. The feature of it is that it includes overbought and oversold band with dynamic values for indications. Labels and alerts are added.
Key Signal
osc --> wave oscillator output
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Markos Katsano Finite Volume ElementLevel: 1
Background
If you use both an interday indicator (such as the OBV) and an intraday (such as Chaikin’s money flow or intraday intensity) you might have noticed that they sometimes move in opposite directions.
This is because intraday money flow indicators leave out all price action from the close to the next day’s open. This omission should not be ignored, since major news such as earnings announcements are usually released overnight. You can find examples of contradicting signals between the OBV and CMF in Markos Katsanos' April 2003 and July 2011 articles in S&C.
To reconcile both methods Markos Katsanos designed a money flow indicator which takes into account both intra and interday price action and presented it in the April 2003 issue of S&C. In designing the FVE, Markos Katsanos also introduced a volatility threshold that excludes minimal price changes.
Function
Markos Katsanos' article "Detecting Breakouts" described the calculation and use of a price-volume indicator called the finite volume element (FVE) in April, 2003. Katsanos provides a detailed Excel spreadsheet in the article, and I've used it to write the equivalent pine code for the FVE. I named this indicator "Markos Katsanos Finite Volume Element" indicator.
The FVE provides 2 types of signals:
The strongest signal is divergence between price and the indicator. Divergence can provide leading signals of breakouts or warnings of impending corrections. The classic method for detecting divergence is for FVE to make lower highs while price makes higher highs (negative divergence). An alternative method is to draw the linear regression line on both charts, and compare the slopes. A logical buy signal would be for FVE, diverging from price, to rise sharply and make a series higher highs and/or higher lows.
The indicator level is a unique and very important property of this indicator. Values above zero are bullish and indicate accumulation while values below zero indicate distribution. FVE crossing the zero line indicates that the short to intermediate balance of power is changing from the bulls to the bears or vice versa. The best scenario is when a stock is in the process of building a base, and FVE diverges from price and rises to cross the zero line from below, at a sharp angle. Conversely the crossing of the zero line from above is a bearish signal to liquidate positions or initiate a short trade.
Inputs
CutOff --> Cut Off Coefficient.
Samples --> Sample Periods.
Key Signal
FVE1 --> FVE fast signal
FVE2 --> FVE slow signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Fibonacci VWAP RSI IndicatorLevel: 1
Background
Ingo Bucher proposed "Fibonacci RSI" in March,2003. It describes the advantages of considering Fibonacci retracement levels for use with the classic RSI indicator. Bucher reviews six charts, each displaying Fibonacci retracement levels for the RSI associated with each chart. The pine code given here will allow you to automatically recreate these charts for any security available in Tradingview. BTW, i enhanced it by changing RSI into VWAP RSI with hl2.
Function
For this Fib VWAP RSI indicator, it also applicable for original Bucher's fib concept. Bucher calculated his retracement levels by picking the RSI high and low for a given time window. In his examples, these were generally six months to a year's worth of data. Once the high and low were picked, he calculated retracement levels based on the well-known Fibonacci numbers (23.6%, 38.2%, 50%, 61.8%). This script here does the same thing. I use a "LookbackLength" (default: 400 bars), which represents a sliding data window that is used to determine the VWAP RSI high and low. The second input value controls the VWAP RSI period (default: 14 bars). The next three inputs select the retracement levels.
A total of eight different lines need to be drawn: the RSI itself, the 50% line, two retracements above the 50% point, two retracements below, and the zero and 100% lines. Pine script will create four plotlines per indicator, so I advise inserting the Fibonacci RSI twice. The first time it is inserted, leave the PlotRSI input with its default value, true. True tells pine script to plot the VWAP RSI itself. The second copy should have the input "Plot RSI" set to false. This will put the 50% line on your chart.
Inputs
LookbackLength --> Look Back Length.
RSILength --> RSI Length.
Fib1 and Fib2 --> Fibonacci lengths.
Key Signal
RawVWAPRSI --> Raw VWAP RSI output signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L2 Veronique Valcu VWAP Z-Score IndicatorLevel: 2
Background
Veronique Valcu's article "Z-Score Indicator" in Feb,2003 provided a description and commentary on a new method of displaying directional change normalized in terms of standard deviation. This indicator is realized in pine script here by using the following function code, adding vwap function, called vwap ZScore.
Function
This indicator has three input, "AvgLen", "Smooth1" and "Smooth2." Price is fixed in selected vwap price. AvgLen describes the length of the sample considered in the standard deviation calculation. Once created and verified, the function can be easily called in any indicator or strategy.
Inputs
AvgLen --> Length input for vwap Zscore.
Smooth1 and Smooth2 --> Smoothing length.
Key Signal
Curve1 --> vwap ZScore output fast signal
Curve2 --> vwap ZScore output slow signal
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 M.H. Pee Trend Intensity Index (TII)Level: 1
Background
M.H. Pee developed the Trend intensity index (TII) indicator to measure the strength of a trend in the market.
Function
In this pine script, it uses the current 55-bar moving average for the measurements. TII looks at the proportion of prices of prior 34 bars being above or below today’s 55-bar moving average. The purpose of the TII indicator’s measurements is to gauge the future price trend movement.
The TII indicator takes today’s 55-bar moving average and each bar’s deviation (close – average). Up deviations give a positive amount while the downside deviations give negative amounts.
Up = close – average
Down = average- close
Then, the trend intensity index is the percentage of the total up amount out of the total up and down amounts. The formula is:
Trend intensity index (TII) = {total up / (total up + total down)} × 100
I use alma() plus hma() to filter out noise signal.
Inputs
Price --> Price source as input.
AvgLength --> Length input for the moving average for the TII measurements.
DevCalcLength --> Length input for bar’s deviation.
Key Signal
TII --> TII output signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L3 M.H. Pee Trend Continuation FactorLevel: 3
Background
Developed by M. H. Pee, the Trend Continuation Factor aims to help traders identify whether the market is trending, and, in case it is, in what direction it is headed. It can be used in any time frame, with every currency pair and is suitable for beginner traders.
Function
The indicator is comprised of two lines, namely the PlusTCF and MinusTCF, which separately correspond to bullish and bearish momentum, respectively. If the PlusTCF line is positive, then the prevailing trend is bullish, while a positive MinusTCF line signifies a bearish trend. Logically, both lines cannot be positive at the same time because the market cannot be in a bullish and a bearish trend simultaneously. However, they both can be negative at a current moment, implying that the market has consolidated in a trading range.
As for trading this indicator, it is generally interpreted and acted upon in a similar way as trading the Average Directional Movement Index. The most basic trading strategy involving the TCF is to enter long positions when the PlusTCF line is positive and to enter short positions when the MinusTCF is positive.
Traders also tend to regard the crossovers of the PlusTCF and MinusTCF lines as entry signals in the direction of the advancing line. Thus, if the PlusTCF crosses the MinusTCF and becomes positive, you should initiate a long entry, and vice versa.
Key Signal
PlusTCF Line --> bullish momentum line in yellow;
MinusTCF Line --> bearish momentum line in fuchsia.
Alerts are available.
Remarks
This is a Level 3 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Trend Detection Index (TDI)Level: 1
Background
The trend detection index (TDI), which can be used to help detect when a trend has begun and when it has come to an end.
Function
The Trend Detection Index (TDI) is used to identify when a trend has started and when it ends. The TDI can be used as a stand-alone indicator or combined with others; It will work well when it comes to spotting the beginning of trends. However, this does not mean that its signals are absolutely accurate.
Inputs
Price --> Price source as input.
Length --> Length input can be adjusted to tune TDI performance.
Key Signal
MktPos --> 1 for long and -1 for short
Remarks
This is a Level 1 free but closed source indicator.
Feedbacks are appreciated.
[blackcat] L5 Banker Fund Flow Trend Oscillator X Level: 5
Background
The large funds or banker fund are often referred to as Whale. Whale can have a significant impact on the price movements in various markets, especially in cryptocurrency . Therefore, how to monitor Whale trends is of great significance both in terms of fundamentals and technical aspects. I had published (blackcat1402) L3 Banker Fund Flow Trend Oscillator as open sourced version. Since this indicator is one of the most popular indicators in my collections. Many requested advanced features and improvements on accuracy. Here is the link of free version of L3 Banker Fund Flow Trend Oscillator:
Function
L5 Banker Fund Flow Trend Oscillator X can give you a model of complete banker fund flow operation in cycles. Compared to L3 free and open source version, it contains more advanced algorithms to provide entries. It is comprehensive to disclose the price trend with dynamic overbought and oversold tables. Compared to L4, which is also powerful, but they are using different banker fund engines. L4 is more suitable for those who have been used to L3 already. L5 is slightly different in visual effect and algorithm core, which is much different to L4 and L3. It can depict much clearer trajectory of banker fund as an oscillator. That is the reason why I list this as Level 5, which is closed source and invited-only. Unlike L4, whose cycle of banker fund flow may have 5 steps in max as entry, increase position, decrease position, exit, and weak rebound for exit, L5 only have buy and sell signal with a customized entry signal filter to filter out crowded entry signals.
This indicator derives from "(blackcat) L3 Banker Fund Flow Trend Oscillator". Therefore, it is an oscillator indicator with overbought and oversold threshold levels. However, it combine several novel indicators together but mainly focus on Whale Jump (Whale Pump and Whale Dump), Blackcat1402 featured supertrend indicator (entry signal = supertrend && oscillator signal), trading risk assessment indicator.
In case you are not familiar my indicators:
(blackcat) L5 Whales Jump Out of Ocean X:
(blackcat) L1 Trading Risk Assessment Indicator (I inverted it in this indicator here):
(blackcat) L4 Banker Fund Flow Trend Oscillator:
Indicator Set
Banker Fund Flow Trend Oscillator X, providing swing oscillator and entry signal.
Blackcat1402 Featured Supertrend, providing colors (green for bull and red for bear) on CurrentSafetyLevel of "Trading Risk Assessment Indicator".
Whales Jump Out of Ocean X, whale pumps and dumps
Trading Risk Assessment Indicator, output CurrentSafetyLevel, which is a large time frame oscillator ranging from overbought and oversold zones.
Inputs
EntryFiltPeriod --> Entry Signal Filter Period, default value is 5, which means crowded entry signal in future 5 bars will be ignored.
Safe Bottom --> User defined safe bottom threshold.
Risky Top --> User defined risky top threshold.
Oscillator Center --> define the center value of Oscillator X, which will influence long entry signal generation
Whale Scaler --> A scaling factor input to see whale dumps and pump more clearly in vision.
The other inputs --> Oscillator divergence inputs.
Golden Cross --> According to community feedbacks, popular L3 Yellow Candles for Banker Fund Entry are added Now. It is represented as a Yellow Cross and You can activate and deactivate them in indicator settings.
Dynamic OS/OB tables --> They are hidden commonly but appear only when OB or OS is happening on top right corner or bottom right corner respectively. Values are visiable for you to judge instant trend reversals.
Key Signal
Yellow bars --> Oscillator long
Fuchsia bars --> Oscillator short
Green columns --> CurrentSafetyLevel values and Supertrend long
Red columns --> CurrentSafetyLevel values and Supertrend short
Fuchsia Zone --> Overbought region
Yellow Zone --> Oversold region
Buy-Sell Labels --> "AND" output of Supertrend and Oscillator Entry Signal: Green for "Buy" and Red for "Sell".
Bull-Bear Labels --> Oscillator divergence signal: Yellow for "Bull" and Fuchsia for "Bear".
Long Whales / Banker Pump--> fuchsia and red stick bars (Motive waves with fuchsia color; corrective waves with red color)
Short Whales / Banker Dump --> yellow and red green stick bars (Motive waves with yellow color; corrective waves with green color)
Pros and Cons
Suitable for discretionary trading and auto trading with alerts.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance.
Remarks
My first L5 indicator published
Closed-source
Invite-only
Subscription
500 Tradingview Coins per Monthly Sub.
500X10 Tradingview Coins per Yearly Sub.
[blackcat] L3 VWAP BMP IndicatorLevel: 3
Background
This indicator is my attempt to combine VWAP and BMP indicators.
Function
The goal is to provide a more timely entry point. I mixed up Igor Livshin's balance of market power (BMP) indicator together with vwap, can be considerably simplified for efficient implementation. If you do the math, you'll find that the raw BMP is actually equivalent to (Close-Open) / (High-Low) which can provide instant market judgement. I also filter try to filter out noise by averaging and fast-slow line to capture the shrot term and mid term status. So, it contains two input parameters to be adjusted to find proper values to adapt to different time frame and trading pairs.
Divergence and alerts are availble as well.
Inputs
FastLength --> VWAP BMP fast line length
SlowLength --> VWAP BMP slow line length
Key Signal
BMPF --> VWAP BMP fast line in yellow color
BMPS --> VWAP BMP slow line in fuchsia color
Remarks
This is a Level 3 free but closed source indicator.
Feedbacks are appreciated.
[blackcat] L1 Buff AverageLevel: 1
Background
This indicator buffs up your moving averages using the volume-weighting method presented in Buff Dormeier's article in 2001, "Buff Up Your Moving Averages." The weighting formula has been created as a function in pine script so that it can be referenced from any analysis technique or strategy. In addition, a simple two-line volume-weighted average indicator that references the function has also been included.
Function
The name of the volume-weighted average function is "BuffAverage()." The function has two inputs, price and length. The price input represents the price value upon which the average calculation is based. The length input represents the number of bars that are used in the calculation of the average. The two-line volume-weighted average indicator is presented. This indicator has three inputs. The price input represents the price value upon which the average calculation is based. The FastAvg input represents the number of bars to use in the fast volume-weighted average calculation. The SlowAvg input represents the number of bars to use in the slow volume-weighted average calculation. A simple alert criteria has also been included to provide an alert when the two lines cross.
Key Signal
FastBuff Line --> fast line in yellow;
SlowBuff Line --> slow line in fuchsia.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Ichimoku CloudLevel: 1
Background
In Muranaka's article, "Ichimoku Cloud" was described. It contains Ichimoku - Lines and Ichimoku - Cloud.
Function
In the article, Muranaka states that the "market has improved when the delayed line is above the closing prices at that past date." Thus, for this indicator, when the delayed line is above the closing prices at the past date, the turning line will be Green. When the delayed line is below the closing prices at the past date, the turning line will be Red. I eliminate the need to display the delayed line (Silver color). Of course, you can choose to display the delayed line by setting the ShowDelayLine input to true.
Key Signal
Standard Line --> Blue line;
Turning Line --> Green and Red;
Delayed --> Not shown, Silver.
Span1 and Span 2 --> Ichimoku Cloud, Yellow for up trend and Fuchsia for down trend.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 volume Oscillator IndicatorLevel: 1
Background
Omega Research proposed volume oscillator indicator in June 2000.
Function
This is actually a volume-price indicator. With columns greater than zero line, which indicates a up trend. Otherwise, it is a down trend. Green columns indicate up trend pump; yellow columns indicate up trend retracements; red columns indicate down trend dump; blue columns indicate down trend re-bounce.
Key Signal
VolOsc --> volume osillator indicator.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Tether LineLevel: 1
Background
Omega Research proposed Tether line in June 2000. I utilized it in fast-slow line form to follow trend.
Function
Due it can provides good support and resistance, using it as "moving average" fast-slow line form can provide very stable golden cross and dead cross signal.
You can adjust parameters to fit for your trading pair and use it and compare it with Supertrend indicator.
Key Signal
Tether_fast --> Tether Fast Line.
Tether_slow --> Tether Slow Line.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L4 Banker Fund Flow Trend OscillatorLevel: 4
Background
The large funds or banker fund are often referred to as Whale. Whale can have a significant impact on the price movements in various markets, especially in cryptocurrency . Therefore, how to monitor Whale trends is of great significance both in terms of fundamentals and technical aspects. I had published (blackcat1402) L3 Banker Fund Flow Trend Oscillator as open sourced version. Since this indicator is one of the most popular indicators in my collections. Many requested advanced features and improvements on accuracy. Here is the link of free version of L3 Banker Fund Flow Trend Oscillator:
Function
L4 Banker Fund Flow Trend Oscillator can give you a model of complete banker fund flow operation in cycles. Compared to L3 free and open source version, it contains more advanced algorithms to provide entries. It is comprehensive to disclose the price trend with overbought and oversold znoes. That is the reason why I list this as Level 4, which is closed source and invited-only. Each cycle of banker fund flow may have 5 steps in max as entry, increase position, decrease position, exit, and weak rebound for exit.
Inputs
Middle Trend Period --> Multiple layers of trend identification. This is used to define middle term trend, default value is 34.
Small Trend Period --> Multiple layers of trend identification. This is used to define short term trend, default value is 5.
Tiny Trend Period --> Multiple layers of trend identification. This is used to define ripple level tiny trend, default value is 3.
Trigger Period --> The slowline signal compared to above trends and it determine candle body length.
Overbought Threshold --> User defined overbought threshold, default value is 89.
Oversold Threshold --> User defined oversold threshold, default value is 11.
Long Trend Period Multiplier --> determine a larger time frame multiplifier to see larger trend moves.
Whale Scaler --> A scaling factor input to see whale dumps and pump more clearly in vision.
Key Signal
A much improved version of Banker Fund Flow Trend candles with the same color definitions:
1. banker fund entry with yellow candle;
2. banker increase position with green candle;
3. banker decrease position with white candle;
4. banker fund exit/quit with red candle;
5. banker fund weak rebound with blue candle;
Buy-Sell Labels --> Green for "Buy" and Red for "Sell".
Besides, this indicator also integrated with L5 Whale Jump Out of Ocean X function to track banker fund based pumps and dumps:
Long Whales / Banker Pump--> fuchsia and red stick bars (Motive waves with fuchsia color; corrective waves with red color)
Short Whales / Banker Dump --> yellow and red green stick bars (Motive waves with yellow color; corrective waves with green color)
Pros and Cons
Suitable for discretionary trading and auto trading with alerts.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance.
Remarks
My 2nd L4 indicator published
Closed-source
Invite-only
Redeem rule: constant 500 tradingview coins per month and 500X10 tradingview coins per year.
