SuperTrend AI (Clustering) [LuxAlgo]The SuperTrend AI indicator is a novel take on bridging the gap between the K-means clustering machine learning method & technical indicators. In this case, we apply K-Means clustering to the famous SuperTrend indicator.
🔶 USAGE
Users can interpret the SuperTrend AI trailing stop similarly to the regular SuperTrend indicator. Using higher minimum/maximum factors will return longer-term signals.
The displayed performance metrics displayed on each signal allow for a deeper interpretation of the indicator. Whereas higher values could indicate a higher potential for the market to be heading in the direction of the trend when compared to signals with lower values such as 1 or 0 potentially indicating retracements.
In the image above, we can notice more clear examples of the performance metrics on signals indicating trends, however, these performance metrics cannot perform or predict every signal reliably.
We can see in the image above that the trailing stop and its adaptive moving average can also act as support & resistance. Using higher values of the performance memory setting allows users to obtain a longer-term adaptive moving average of the returned trailing stop.
🔶 DETAILS
🔹 K-Means Clustering
When observing data points within a specific space, we can sometimes observe that some are closer to each other, forming groups, or "Clusters". At first sight, identifying those clusters and finding their associated data points can seem easy but doing so mathematically can be more challenging. This is where cluster analysis comes into play, where we seek to group data points into various clusters such that data points within one cluster are closer to each other. This is a common branch of AI/machine learning.
Various methods exist to find clusters within data, with the one used in this script being K-Means Clustering , a simple iterative unsupervised clustering method that finds a user-set amount of clusters.
A naive form of the K-Means algorithm would perform the following steps in order to find K clusters:
(1) Determine the amount (K) of clusters to detect.
(2) Initiate our K centroids (cluster centers) with random values.
(3) Loop over the data points, and determine which is the closest centroid from each data point, then associate that data point with the centroid.
(4) Update centroids by taking the average of the data points associated with a specific centroid.
Repeat steps 3 to 4 until convergence, that is until the centroids no longer change.
To explain how K-Means works graphically let's take the example of a one-dimensional dataset (which is the dimension used in our script) with two apparent clusters:
This is of course a simple scenario, as K will generally be higher, as well the amount of data points. Do note that this method can be very sensitive to the initialization of the centroids, this is why it is generally run multiple times, keeping the run returning the best centroids.
🔹 Adaptive SuperTrend Factor Using K-Means
The proposed indicator rationale is based on the following hypothesis:
Given multiple instances of an indicator using different settings, the optimal setting choice at time t is given by the best-performing instance with setting s(t) .
Performing the calculation of the indicator using the best setting at time t would return an indicator whose characteristics adapt based on its performance. However, what if the setting of the best-performing instance and second best-performing instance of the indicator have a high degree of disparity without a high difference in performance?
Even though this specific case is rare its however not uncommon to see that performance can be similar for a group of specific settings (this could be observed in a parameter optimization heatmap), then filtering out desirable settings to only use the best-performing one can seem too strict. We can as such reformulate our first hypothesis:
Given multiple instances of an indicator using different settings, an optimal setting choice at time t is given by the average of the best-performing instances with settings s(t) .
Finding this group of best-performing instances could be done using the previously described K-Means clustering method, assuming three groups of interest (K = 3) defined as worst performing, average performing, and best performing.
We first obtain an analog of performance P(t, factor) described as:
P(t, factor) = P(t-1, factor) + α * (∆C(t) × S(t-1, factor) - P(t-1, factor))
where 1 > α > 0, which is the performance memory determining the degree to which older inputs affect the current output. C(t) is the closing price, and S(t, factor) is the SuperTrend signal generating function with multiplicative factor factor .
We run this performance function for multiple factor settings and perform K-Means clustering on the multiple obtained performances to obtain the best-performing cluster. We initiate our centroids using quartiles of the obtained performances for faster centroids convergence.
The average of the factors associated with the best-performing cluster is then used to obtain the final factor setting, which is used to compute the final SuperTrend output.
Do note that we give the liberty for the user to get the final factor from the best, average, or worst cluster for experimental purposes.
🔶 SETTINGS
ATR Length: ATR period used for the calculation of the SuperTrends.
Factor Range: Determine the minimum and maximum factor values for the calculation of the SuperTrends.
Step: Increments of the factor range.
Performance Memory: Determine the degree to which older inputs affect the current output, with higher values returning longer-term performance measurements.
From Cluster: Determine which cluster is used to obtain the final factor.
🔹 Optimization
This group of settings affects the runtime performances of the script.
Maximum Iteration Steps: Maximum number of iterations allowed for finding centroids. Excessively low values can return a better script load time but poor clustering.
Historical Bars Calculation: Calculation window of the script (in bars).
스크립트에서 "Trailing stop"에 대해 찾기
Pullback AnalyzerPullback Analyzer - a trailing stop helper.
This indicator measures the biggest pullback encountered during an up or down move.
You can use the reported percentages to fine-tune your trailing stop.
The reporting is very precise: On higher timeframes, the pullback size can sometimes not be determined exactly from the candles.
In this case, the script displays a lower and upper bound for this number.
I suggest that you use the upper bound as your trailing stop callback rate (plus some safety margin if you like).
The size of the move itself is always reported as a lower bound.
The biggest pullback within each move is marked with a gray dotted line.
There is only one parameter, "lookback"' (or lookback limit), which determines how many bars a single move can comprise. A value of 50 was found to be a nice default. If you lower the lookback, long moves will be split up into multiple moves, each being at or below the lookback limit. Conversely, you can capture longer moves in one piece by raising the lookback limit.
The algorithm automatically ignores small moves and trading ranges near a bigger move. (We may add a parameter to control this behavior more precisely in the future.)
How the algorithm works
There is a central class called MoveFinder which scans the candle feed for the biggest possible move in a certain direction (up or down).
Two instances of this class are used, one for each direction, to find the biggest next up and down move simultaneously (upFinder and downFinder).
Additionally, each of these main MoveFinders contains two more MoveFinders. These are used to find pullbacks within the move. (This comes from the observation that finding a pullback is fundamentally the exact same operation as finding a move, just with opposing direction and limited to the time between the move's beginning and end.)
Why two nested MoveFinders per parent (for a total of 6 in the program)? Well, one of them runs in "lower bound" and one runs in "upper bound" mode, so we can print the detected pullback size as an exact interval (lower bound <= real pullback <= upper bound). I am a mathematician. I like precision.
Moves as well as pullbacks that have been found are stored as instances of class Move which simply stores start and end bar index as well as start and end price.
Turtle Soup IndicatorTurtle Soup Indicator plots a shape when we have a 20-period high or 20-period low.
Turtle Soup Setup
The Turtle Soup setup was published in the book Street Smarts by Laurence A Connors and Linda Raschke. You can learn about it there. It is a great setup for false breakouts or breakdowns in the group failure tests.
Going long
1) We have a new 20-period low
2) that must have occured at least four trading sessions earlier <- this is very important
Then we place a buy stop above 5-10 ticks or 5 to 10 cents above the previous 20-period low.
If filled immediately place a good til cancelled sell stop one tick or one cent below todays low.
Turtle Soup Plus One
Similar to above but occurs one day later. It should close at/below previous 20-period low.
Buy stop at earlier 20 day low. Cancel fi not filled on day 2.
Take partials within 2-6 bars on this one and trail stop rest of position.
Going short
Reverse
Time frames
Works on all timeframes. Only adjust stoplosses accordingly to chosen timeframe.
Settings
You can change the color, shape and placement of the indicator shape. I actually prefer a grey color for both highs and lows as the color actually doesn't add much information. The placement says it all but it is up to you to change this as you like.
FFT Strategy Bi-Directional Stop/Profit/Trailing + VMA + AroonThis strategy uses the Fast Fourier Transform inspired from the source code of @tbiktag for the Fast Fourier Transform & @lazybear for the VMA filter.
If you are not familiar with the Fast Fourier transform it is a variation of the Discrete Fourier Transform. Veritasium on youtube has a great video on it with a follow up recommendation from 3brown1blue. In short it will extract all the frequencies from a set of data. @tbiktag laid the groundwork for creating the indicator which will allow you to isolate only those signals which are the most relevant and remove the noise. I recommend having @tbiktag's FFT Transform indicator side by side with this to understand what my variation is doing by setting similar settings .
Using this idea, you can then optimize a strategy to the frequencies that are best. The main entry signal is when the FFT Signal crosses above or below the 0 line .
Included with this strategy is the ability to optionally bi-directionally set:
Stop Loss
Trailing Stop Loss
Take Profit
Trailing Take Profit
Entries are optionally further filtered by use of the VMA using the algorithm from LazyBear which allows you to adjust a variable moving average with 3 market trend detections. Green represents upwards momentum; Blue sideways trading and Red downwards momentum. The idea being to filter out buy or sell entries unless the market is moving in that direction, and this makes a big difference as you can see for yourself when you turn it off or on. Turning it off will change the color of the FFT signal to orange instead of the green, blue, red colors .
I have added 2 custom stop loss types as well for experimentation:
1. VMA Filter stop loss to exit the trade if the VMA detects a market trend direction change matching the rules you have set. I have set this to off by default, but it is there so you can see what affect it may have on other tickers. It can increase the profit factor but usually at a cost of net profit.
2. The Aroon Filter stop loss with different lengths for the short or long direction. For the Aroon strategy (which is a trend change detector) it is considered bullish if the upper line (green in my code) is above 70 and the lower line (red in my code) is below 30 and the opposite for the bearish case. With this in mind, I have set it to filter by default only the extreme ends (99 and 1) to increase profit factor and net profit but I encourage you to try different settings and see how it affects things. Turning this off yields much higher net profit but at the cost of the profit factor and drawdown . To disable this just uncheck the 'Use Aroon Filter Long' (or short) and it will also hide the aroon graphics and crosses on the plot.
I will be adding more features in an attempt to lower the drawdown on this strategy but I hope you enjoy what I have so far!
Moving Average - fade when crossed [cajole]This indicator simply provides a moving average (SMA, EMA, etc. can be selected) which hides itself when touched by the price.
Two potential uses:
Set the growth rate to be slow, to highlight only very rapid moves on a chart.
Use the default settings and change the averaging period until the MA line remains bright. This MA can then act as a good trailing stop for the specific security.
TradingView does not remember indicator settings for specific charts. Consider adding a text label to your chart after you identify the ideal trailing stop. Similar trailing-stop methods are recommended by Kristjan Qullamagie is identical to Jesse Stine's "magic line" concept .
R:R Trading System FrameworkFirst off, huge thanks to @fikira! He was able to adapt what I built to work much more efficiently, allowing for more strategies to be used simultaneously. Simply put, I could not have gotten to this point without you. Thanks for what you do for the TV community. Second, I am fairly new to pinescript writing, so I welcome criticism, thoughtful input and improvement suggestions. I would love to grow this concept into something even better, if possible. So please let me know if you have any ideas for improvement. However I do juggle a lot of different things outside of TV, so implementations may be delayed.
I have decided, at this time, not to add alerts. First, because I feel most people looking to adapt this framework can add their own pretty easily. Also, given how customized the framework is currently, while also attempting to account for all the possible ways in which people may want alerts to function after they customize it, it seems best to leave them out as it doesn't exactly fit the idea of a framework.
For best viewing, I recommend hovering over the script's name > ... > Visual order > Bring to front. Also I found hollow candles with mono-toned colors (like pictured) are more visually appealing for me personally. I HIGHLY RECOMMEND USING WITH BAR REPLAY TO BETTER UNDERSTAND THE FRAMEWORK'S FUNCTIONALITY.
▶️ WHAT THIS FRAMEWORK IS
- A huge collection of concepts and capabilities for those trying to better understand, learn, or teach pinescript.
- A system designed to showcase Risk:Reward concepts more holistically by providing all of the most popular components of retail trading to include backtesting, trade visual plotting, position tracking, market condition shifts, and useful info while positioned to help highlight changes in your risk:reward based decision-making processes.
- A system that can showcase individual strategies regardless of trade direction, allowing you to develop hedging strategies without having multiple indicators that do not correlate with each other.
- Designed around the idea that you trade less numbers of assets but manage your positions and risk based on multiple concurrently running strategies to manage your risk exposure and reward potential.
- An attempt to combine all the things you need to execute with an active trading management style.
- A framework that uses backtested results (in this case the number of averaged bars it takes to hit key levels) in real-time to inform your risk:reward decision-making while in-trade (in this case in your Trade Tracking Table using dynamic color to show how you might be early, on-time, or late compared to the average amount of backtested time it normally takes to hit that specific key level).
▶️ WHAT THIS FRAMEWORK IS NOT
- A complete trading product. DO NOT USE as-is. It is a FRAMEWORK for you to generate ideas of your own and fairly easily implement your own triggering conditions in the appropriate sections of the script.
▶️ USE CASES
- If you decide you like the Stop, Target, Trailing Stop, and Risk:Reward components as-is, then just understanding how to plug in your Entry and Bullish / Bearish conditions (Triangles) and adjust the input texts to match your custom naming will be all you need to make it your own!
- If you want to adapt certain components, then this system gives you a great starting point to adapt your different concepts and ideas from.
▶️ SYSTEM COMPONENTS
- Each of the system's components are described via tooltips both in the input menu and in the tables' cells.
- Each label on the chart displays the corresponding price at those triggered conditions on hover with tooltips.
- The Trailing Stop only becomes active once it is above the Entry Price for that trade, and brightens to show it is active. The STOP line (right of price) moves once it takes over for the Entry Stop representing the level of the Trailing Stop at that time for that trade.
- The Lines / Labels to the right of price will brighten once price is above for Longs or below for Shorts. The Trade Tracking Table cells will add ☑️ once price is above for Longs or below for Shorts.
- The brighter boxes on the chart show the trades that occurred based on your criteria and are color coded for all components of each trade type to ensure your references are consistent. (Defaults are TV built-in strategies)
- The lighter boxes on the chart show the highest and lowest price levels reached during those trades, to highlight areas where improvements can be made or additional considerations can be accounted for by either adjusting Entry triggers or Bullish / Bearish triggers.
- Default Green and Red Triangles (Bullish / Bearish) default to having the same triggering condition as the Entry it corresponds to. This is to highlight either a pyramiding concept, early exit, or you can change to account for other things occurring during your trades which could help you with Stop and Target management/considerations.
TradingView and many of its community members have done a lot for me, so this is my attempt to give back.
R19 STRATEGYHello again.
Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals
This is an upgrated version of STRATEGY R18 F BTC strategy.
I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart.
Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals)
Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success.
Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position.
Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading)
You can fine tune strategy to all assets.
Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well.
See you all.
Easy Scalping by JayKasunBINANCE:BTCUSDTPERP
This indicator can show stochastic RSI K and D line crosses and some candlestick patterns on chart.
You can use this indicator to scalping, check usage for more info. Always backtest before trading with your real money.
This indicator will also help mobile TradingView users to get an idea when getting stochastic RSI signals, they can use this indicator to check if stochastic RSI K and D crossed or not. ( Because they have limited area to view chart ) .
4 Exponential moving averages are there in the indicator with easy enable disable option. 9 , 21 , 55 , 100 is suggested as default values.
Meanings of signs in chart
Blue triangle bellow candle means it's a stochastic RSI K and D line cross in oversold level
Red triangle above candle means it's a stochastic RSI K and D line cross in overbought level
Green plus sign shows when EMA 50 crossover EMA 100
Red plus sign shows when EMA 50 cross bellow EMA 100
Features
You can enable candlestick pattern displaying when stochastic RSI K and D cross happen. Check indicator settings.
You can enable displaying ATR Trailing Stops in indicator settings.
Indicator will only show blue triangle after Green plus sign and Red triangles after Red plus sign
After you enable candlestick pattern option, stochastic RSI crosses with candlestick patterns will show in deferent colors. Blue triangle will turn into green and Red triangle into pink.
Usage
Use lower time frames like 5m or 15m
After green plus sign, if price retouched 21 EMA or 55 EMA and blue triangle appeared , you can enter a long position.
After red plus sign, if price retouched 21 EMA or 55 EMA and red triangle appeared , you can enter a short position.
Always wait for candle close . signs of chart can be changed when candle closing. ( Does repaint until candle close )
Use ATR trailing to get a stop loss price.
Use 1:1 or 1:0.5 Risk Reward ratio. Because it's scalping and lower time frame.
Use more indicators like RSI to get more confirmations ( like divergences ) before entering a trade. Its more reliable.
Candlestick Patterns Short names
H - Hammer
IH -Inverted Hammer
BE - Bullish Engulfing ( green triangle )
BE - Bearish Engulfing ( pink triangle )
BH - Bullish Harami ( green triangle )
BH - Bearish Harami ( pink triangle )
I have included ATR + Trailing Stops by SimpleCryptoLife and Candlestick Patterns Identified (updated 3/11/15) by repo32
this is a combination of multiple indicators
credit goes to original creators of above indicators
Jurik-Filtered, Gann HiLo Activator [Loxx]Jurik-Filtered, Gann HiLo Activator is a Gann HiLo activator that has been smoothed using Jurik Filtering to reduce noise and better identify trending markets.
What is Gann HiLo
The HiLo Activator study is a trend-following indicator introduced by Robert Krausz as part of the Gann Swing trading strategy. In addition to indicating the current trend direction, this can be used as both entry signal and trailing stop.
Here is how the HiLo Activator is calculated:
1. The system calculates the moving averages of the high and low prices over the last several candles. By default, the average is calculated using the last three candles.
2. If the close price falls below the average low or rises above the average high, the system plots the opposite moving average. For example, if the price crosses above the average high, the system will plot the average low. If the price crosses below the average low afterward, the system will stop plotting the average low and will start plotting the average high, and so forth.
The plot of the HiLo Activator thus consists of sections on the top and bottom of the price plot. The sections on the bottom signify bullish trending conditions. Vice versa, those on the top signify the bearish conditions.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included
-Toggle bar color on/off
Trend Following with Donchian Channels and MACDThis is a trend following system based on the Donchian Channels. Instead of using a simple moving average crossover, this system uses the MACD as the trendfilter:
Long positions:
* Price makes a new 50 day high,
* The MACD-line crosses above or is above the Signal-line.
* Both the MACD and the Signal-lines are above the zero-line.
Short positions:
* Price makes a new 50 day low,
* The MACD-line crosses below or is below the Signal-line.
* Both the MACD and the Signal-lines are below the zero-line.
Stoploss:
The initial and the trailing stoploss are 4 ATRs away from the price.
Risk Management Tool [LuxAlgo]Good money management is one of the fundamental pillars of successful trading. With this indicator, we propose a simple way to manage trading positions. This tool shows Profit & Loss (P&L), suggests position size given a certain risk, sets stop losses and take profit levels using fixed price value/percentage/ATR/Range, and can also determine entries from crosses with technical indicators which is particularly handy if you don't want to set an entry manually.
1. Settings
Position Type: Determines if the position should be a "Long" or "Short".
Account Size: Determines the total capital of the trading account.
Risk: The maximum risk amount for a trade. Can be set as a percentage of the account size or as a fixed amount.
Entry Price: Determines the entry price of the position.
Entry From Cross: When enabled, allows to set the entry price where a cross with an external source was produced.
1.1 Stop Loss/Take Profit
Take Profit: Determines the take profit level, which can be determined by a value or percentage.
Stop Loss: Determines the stop loss level, which can be determined by a value or percentage.
2. Usage
One of the main usages of position management tools is to determine the position size to allocate given a specific risk amount and stop-loss. 2% of your capital is often recommended as a risk amount.
Our tool allows setting stop losses and take profits with different methods.
The ATR method sets the stop loss/take profit one ATR away from the entry price, with the ATR period being determined in the drop-down menu next to the selected methods. The range method works similarly but instead of using the ATR, we use a rolling range with a period determined in the drop-down menu next to the selected methods as well.
Unlike the available position management tool on TradingView, the entry can be determined from a cross between the price an an external source. The image above shows entries from the Volatility Stop indicator. This is particularly useful if you set positions based on trailing stops.
CCI45/SMA50 indy for 30 min SP500SPCFD:SPX
The script determines entry points using 45 period CCI and 50 period SMA.
Long condition: When CCI crosses up 150 treshold while price above 50 period SMA
Short condition: When CCI crosses down -150 treshold while price below 50 period SMA
Trades are executed above/below 1 point of high/low for long/short positions. Stops are just 1 point below/above of SMA. After 4 points of profit stops should be tightened. If you do not plan to hold the position for a long time, it can produce quick profit within 5-6 bars namely 2.5-3 hour. Otherwise you can manage the trade using SMA as trailing stop. This can be treated as a strategy of scalping which turns out a trend trading eventually if conditions good.
Have a nice trading
[fareid] Quick Backtest Framework█ OVERVIEW
This Framework allows Pine Coders to quickly code Study() based signal/strategy and validate its viability before proceed to code with more advance/complex customized rules for entry, exit, trailstop, risk management etc..
This is somewhat an upgraded version of my earlier personal template with different strategy used, cleaner code
and additional features.
█ USE CASES
- You have an idea for trade signal and need a quick way to verify its potential before writing lengthy/complicated code
- You found a study script for trading signal in public library and want to validate it profitability with minimum effort before including it in your trading playbook
█ FEATURES
- Alert: Ready to use alert function based on signals from your custom indicator.
- Visual Backtest: Auto-plot entry, stop-loss and take profit for simple strategy performance analysis
- Backtest Statistic: Provide basic key metrics based on backtest strategy
- BTE External Signal Protocol: Ready to use code that will supply required state to PineCoders Backtesting & Trading Engine if you wish to have more advance and sophisticated backtesting engine
Notes: All of the above features have On/Off toggle
█ Description & How To Use
This Framework consist of 5 Modules but you only need to edit the first 2 Modules:
Module1: Indicator
Module2: Framework Input Protocol
Module3: Alert
Module4: Backtest
Module5: Backtest & Trading Engine
Tips: The source-code includes collapsible block by module for easy navigating
Module1: Indicator:
-----------------------------------------------------------------------------------
Main Module. Place custom indicator input parameter/calculation/indicator plotting here
Sample Strategy: Double MACD Crossover
MACD Signal: 1st MACD Cross above signal line indicate Buy Signal
1st MACD Cross below signal line indicate Sell Signal
MACD Filter: 2nd MACD is above 0 line indicate Uptrend
2nd MACD is below 0 line indicate Downtrend
Module2: Framework Input Protocol:
-----------------------------------------------------------------------------------
Use this module to connect main indicator/signal calculated in Module1 to the rest of the framework's module
4 variables needed to be defined here:
1. Uptrend
2. Dntrend
3. BuySignal
4. SellSignal
i'm not sure how to place a code snippet here to show you example so in the source code i already put a comment in Module2 on which part u need to edit. I hope its pretty simple to use.
Module3: Alert Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the alert module is ready to use without any further modification.
Input:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
Module4: Backtest Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the backtest module is ready to use without any further modification.
Input:
Backtest Stat --> Enable Backtest Statistic Label
Backtest Visual --> Enable Backtest visual simulation
Backtest Type --> Set to take Buy only or Sell only or both
SL Type -->
ATR : Set SL in ATR times Multiplier below entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar: Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Multi --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
Module5: Backtest & Trading Engine Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the Pinecoders BTE module is ready to use without any further modification.
Input:
External Signal Protocol --> Set ESP State to send to "Backtesting & Trading Engine "
Signal With Filter --> Use this to send entry signal that already filtered by this study indicator (without stoploss level)
Signal Without Filter --> Use this to send raw entry signal that are NOT YET FILTERED by this study indicator (without stoploss level)
Signal and Stop With Filter --> Use this to send entry signal WITH StopLoss that already filtered by this study indicator (with stoploss level)
Signal and Stop Without Filter --> Use this to send raw entry signal WITH StopLoss that are NOT YET FILTERED by this study indicator (with stoploss level)
Notes: Backtesting & Trading Engine already have built-in Filter, Entries and Stop Level. e.g. Unselect all their filter state if only want to use custom filter and make sure send Signal with Filter (with or without SL level)
█ DISCLAIMER:
This framework main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
The sample strategy included are for educational purpose only. Use at your own risk
credit: LucF/PineCoders for a lot of his scripts that i use as a guide to complete this
Anti-Volume Stop LossFINALLY!
As everyone who tried to create, understand, or even find the Buff Pelz Dormeier Anti-volume stop-loss indicator knows that - it's not easy. Personally, I have partially, or perhaps completely figured out, the tips Buff had given in Investing with Volume Analysis book.
AVSL now is ready.
Please do some test and give me a feedback how it works in your trade strategy.
Anti-Volume stop loss - AVSL
from Investing with Volume Analysis book CHAPTER 20 • RISKY BUSINESS 253-256:
"It is important in any risk-management process to predetermine an objective decision point level (a stop loss) to exit, thereby protecting principal in case you are wrong. My objective sell point is determined by using a quantitative formula I refer to as Anti-Volume Stop Loss (AVSL). Having a quantitative, yet intelligent sell point eliminates the emotional struggles involved in deciding when to exit a position.
AVSL is a technical methodology that incorporates the concepts of support, volatility, and, most importantly, the inverse relationship between price and volume. The AVSL combines the concepts of the VPCI (Volume Price Confirmation Indicator) and John Bollinger’s Bollinger Bands to create a trailing stop loss.
AVSL = Lower Bollinger Band – (Price, Length, Standard Deviation)
Where:
Length = Round (3 + VPCI)
Price = Average (Lows × 1 / VPC × 1 / VPR, Length)
Standard Deviation = 2 × (VPCI × VM)
One of the most difficult decisions is determining what one’s maximum loss threshold should be. Some say 2 percent; others say 20 percent. I believe the more volatile a security, the looser the stop should be. A nonvolatile security, such as Coca-Cola, might move 7 percent a year, while a volatile security such as Google might move 7 percent in a day. If you use a 7 percent stop for Coca-Cola, it might take a year to be stopped out while the security underperforms.
However, if you use 7 percent for Google, you can be stopped out intraday, not allowing the investment an opportunity to develop. By using the lower Bollinger Band of the securities lows, the AVSL considers each individual security’s own volatility. Thus, a volatile security would be granted more room of the stocks low while a stable security would have a tighter leash (see Figure 20.7).
The next important step is employing the price-volume relationship into the calculation. Volume gauges the power behind price moves. In accounting for this, when a security is in an uptrend and has positive volume characteristics, it is given more room. However, if the security exhibits contracting volume characteristics, then the stop is tightened. In this way, if a negative news event affects an unhealthy security, the stop is tighter, thus preserving more of your profits.
However, if the negative news event affects a security whose price-volume relationship is healthy, the stop has been loosened, avoiding the temporary whipsaw of an otherwise strong position. In these ways, AVSL lets the market decide when to exit your position.
AVSL tailors each security for support, volatility, and the pricevolume relationship based on an investor’s time frame as calculated from the chart data. For example, my portfolio positions are continually re-evaluated with this AVSL methodology, which yields the possibility of raising the decision point threshold periodically based on the time frame of my investment objective. With my short-term Giddy-up portfolios, I use daily chart data and seek to raise my maximum loss stop on a daily basis.
My intermediate ETF and stock positions are calculated off of weekly data and then re-evaluated weekly. With my longer term stock portfolios, the decision point is calculated off data revised monthly. This analytical approach that uses measurable facts over emotion or gut instincts allows me to maintain my objectivity. Thus objectivity, not emotion, informs my investment decisions."
How look mine AVSL:
Price component = low × 1/VPC × 1/VPR : for VPC > 1 and VPC < -1 | low × 1 × 1/VPR : for 1 > VPC > 0 | low × -1 × 1/VPR : for 0 > VPC > -1
AVSL Price = sma((low × 1/VPC × 1/VPR) , length) / 100
length = round : for VPCI > 0 | round [ absolute ] : for VPCI < 0 | 3 : for VPCI=0
Standard Deviation = mult × VPCI × VM)
AVSL = sma(Actual low price - AWSL Price + Standard Deviation, 26)
It's hard to say is it the same as in Buff Pelz Dormeier book, but I encourage you to modify the script for better results.
888 BOT #alerts█ 888 BOT #alerts (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security ()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' wich is calculated according with: '%EQUITY ON EACH ENTRY'. Only works with Stop Loss on 'NORMAL' or 'BOTH' mode.
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ ALERTS
There is an alert for each leverage, therefore a maximum of 8 alerts can be set for 'long' and 8 for 'short', plus an alert to close the trade with Take Profit or Stop Loss in market mode. You can also place Take Profit limit and Stop Loss limit orders a few seconds after filling the position entry order.
- 'MAXIMUM LEVERAGE': It is the maximum allowed multiplier of the % quantity entered on each entry for 1X according to the volume condition.
- 'ADVANCE ALERTS': There is always a time delay from when the alert is triggered until it reaches the exchange and can be between 1-15 seconds. With this parameter, you can advance the alert by the necessary seconds to activate it earlier. In this way it can be synchronized with the exchange so that the execution time of the entry order to the position coincides with the opening of the bar.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Percent Drop from Highest HighBuy and hold investors may decide to use trailing stops to protect profits and capital from market crashes, especially during bull markets.
The purpose of this indicator is to hep investors to identify a location to place them. The indicator plots the highest high from 'x' bars ago. It then plots a trailing stop loss 'y' percent below that line.
The indicator enables its users to input different 'x' and 'y' values to observe what they think works best for them in different markets.
Users might choose to pair the indicator with trend confirming indicators, such as moving average cross overs, to determine that the market is trending and not ranging.
There is no magic in this indicator, only maths. Like every indicator, it has no ability to predict anything. Just because the market is doing one thing now, it might do something different later. The past does not equal the present nor the future. Make your own decisions and be responsible for them.
All the best to you and your family.
Gap Down Reversal StrategyA "Gap down Reversal" is when the current days candle, opens, below the prior days close, and "finishes up" on the day with the close greater than the open. This type of price action can provide traders with favorable entry points to trade long, as anyone who was short the prior day, can get squeezed or panic out of the trade as they would see profits erode quickly from the gap down at the open.
Strategy results are shown on SHOP with 10k starting capital and 10k per trade. The strategy enters at next days close after the gap down reversal fires off, and a 5% trailing stop order is also executed. This is important to understand when experimenting with different trailing stops on different symbols and observing results to find the most viable strategy. The discretionary trader may choose to enter at the close, or at the next days open, so understand results are not calculated for those entry points.
You also may alter the start date of the strategy, so you can include, or exclude certain dates.
Experiment with different stops and symbols! More volatile symbols most likely will need looser stops and Vice Versa. Concentrate on symbols in up trends, as "the dips" usually get consistently bought in these names, but hard reversals in downtrends can happen as well.
Any questions/concerns please let me know and happy trading.
Candle Type w/2Up + 2Dn v2.0This script builds on Candle Type w/2Up + 2Dn by incorporating signals for inside + up, outside + up, + rev strat set-ups. All of these can be turned off if they compete w/ other indicators or just clutter up the chart.
Briefly, the script works based on #thestrat developed by Rob Smith and the 1-2-3 bar script coded by @Crinklebine. Candle Type w/2Up + 2Dn is a "fork" of @Crinklebine's excellent indicator. I find the visualization of U-D-I-O (up/dn/inside/outside candles) easier to scan through 100's of charts than 1-2-3's. This is just personal preference, but they work based on the exact same principles. Performance is enhanced with a trend filter like @boardriderb's "TC" script or similar timeframe continuity filters based on the #thestrat developed by Rob Smith. I also prefer an ATR-based trailing stop; Rob recommends pSAR for trailing stops.
Together these indicators form a power system, but users are still responsible for their own trade management, entries & exits, risk profiles, stop loss, etc.
Volatility StopThis is a new version of the classic Volatility Stop originally published in 2014 by admin and written in Pine v1. While the code has evolved, its logic is identical. It is an ATR-based trend detector that can also be used as a stop. It belongs to the same family of indicators as:
• Charles Le Beau's Chandelier Exit ,
• Olivier Seban's Super Trend , and
• Sylvain Vervoort's Average True Range Trailing Stop .
Unlike the Chandelier Exit , Volatility Stop will not move against the trend.
This new version is written in Pine v4. The indicator can be used as a chart overlay, like the original. The calculations have been functionalized for easier reuse, so it is now easier to lift the logic out of the script and use it in others.
Features
• Choice of 2 color themes.
• Choice of display as a line, circles, diamonds or arrows. The line can be used with the other shapes. If no line is required, set its thickness to zero.
• Same default of length=20 and ATR factor=2 used in the original Volatility Stop.
• 3 alerts: on any trend change, or on changes into up or downtrends only. Alerts should be configured to trigger Once Per Bar Close .
Original version:
Look first. Then leap.
Trailing ATR StopsThis script plots a trailing stop of the ATR multiplied by a user-defined number. Since it is meant to be used as a trailing stop, the value doesn't fluctuate with the price as a normal ATR indicator does, but stays fixed unless price moves away from it. In that case it follows the price. If price crosses the stop level, it resets itself based on current price and starts trailing all over again.
User Settings:
Support - Use for a trailing stop while long
Resistance - Use for a trailing stop while short
Both - Acts like a channel and can spot periods of lower volatility
SAR Trend Trader w/ Alerts By: jhanson107This strategy utilizes Parabolic SAR (Stop and Reverse) along with EMA filtering to improve accuracy. Use the strategy to find optimal settings for the pair your are trading.
Long:
1. SAR below price action
2. Above slow EMA (Default 100 EMA)
3. Update trailing stop daily and exit trade once stopped out.
Short
1. SAR above price action
2. Below slow EMA (Default 100 EMA)
3. Update trailing stop daily and exit trade once stopped out.
White Bars = No trade zone which helps filter out bad trades compared to only using Parabolic SAR.
SAR Trend Trader Strategy By: jhanson107This strategy utilizes Parabolic SAR (Stop and Reverse) along with EMA filtering to improve accuracy. Use the strategy to find optimal settings for the pair your are trading.
Long:
1. SAR below price action
2. Above slow EMA (Default 100 EMA)
3. Update trailing stop daily and exit trade once stopped out.
Short
1. SAR above price action
2. Below slow EMA (Default 100 EMA)
3. Update trailing stop daily and exit trade once stopped out.
White Bars = No trade zone which helps filter out bad trades compared to only using Parabolic SAR.