Combo 2/20 EMA & Bear Power This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
Bear Power Indicator
To get more information please see "Bull And Bear Balance Indicator"
by Vadim Gimelfarb.
WARNING:
- For purpose educate only
- This script to change bars colors.
Wyszukaj w skryptach "alert"
Combo 2/20 EMA & (H-L)/C Histogram This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
This histogram displays (high-low)/close
Can be applied to any time frame.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo 2/20 EMA & Bandpass Filter This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The related article is copyrighted material from
Stocks & Commodities Mar 2010
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo 2/20 EMA & Average True Range Reversed This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
Average True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
Please, use it only for learning or paper trading. Do not for real trading.
WARNING:
- For purpose educate only
- This script to change bars colors.
DMT TEMPELTON PECK STRATEGYIntroduction Templeton Peck Strategy Version .
Bring your A-game to the market in A-Team style with DMT Templeton Peck – you’ll love it when this plan comes together!
Using customized standard deviations between historic price action ranges and volume metrics, DMT Templeton Peck enables traders to never miss a change in trend.
In its default state, the DMT Templeton Peck Strategy displays key information, such as:
• Small trend line
• Large trend line
• Position entry prices
• Take profit levels
• Stop levels
• Buy and sell trend signals
In addition to providing core functionality for the indicator’s strategy signals, traders can use this data to enter or exit trades.
When price crosses both trend lines and consolidates there is a high probability that price will continue to move in the same direction. The most profitable results are achieved when trading in the direction of the current large time frame trend.
When small and large trend lines cross a trading signal is generated which can be used to automate trades. Please see the ‘TradingView Alerts’ section of this document for further details.
The Small & Large trend line’s display can be toggled, and their colors modified in the indicator’s style options as shown below.
Basic Strategy
In its simplest form, the strategy is to buy when the price crosses and consolidates above both trend lines and sell when the price crosses and consolidates below both trend lines.
Set amount of first entry to the inputs data.
You can add a commission fee.
Adjust initial capital for your needs.
How to Trade
Confident traders may choose to enter a long position at the point
#1 when the price passes above both trend lines and begins to consolidate.
However, the safer trade is to wait for the trend lines to cross at a point
#2 and then look for an entry in the direction of the local trend.
One price action begins to reverse to the downside the strategy reverses. Confident traders may choose to enter point
#3 when the price passes both trend lines and begins to consolidate once again under the previous price action structure that is now acting as resistance.
A sell signal is generated at the point
#4 which produced a small profit; however, a new short position could have been opened when the price retraced to resistance at a point
#5 and experienced a repeated number of strong rejections.
Do not worry if you miss a trade as there is often more than a single opportunity to enter – like at position #5 when price action retests the previous local price structure as resistance.
The indicator can be used on smaller time frames to scalp or find an entry after a larger time frame has signaled, however smaller time frames will also be “choppy” and should only be traded with a paper-tested strategy.
Traders should take profit on positions at resistance & support levels and look to have fully exited the trade by the time the price crosses back over both trend lines and/or loses a previously established price level.
Indicator Tuning
In its default state, the indicator is tuned for swing trades using 30 minute & 1 hour time frames, however, you are encouraged to experiment with the indicator options.
The input also allows you to set separately longs and shorts for a better view of the trend and to avoid hunts.
Large & Small Length options define how many historic candles are used for the calculation of the relevant trend line.
As a rule of thumb, larger time frames would use smaller values and smaller time frames would use larger values, ie. On a daily chart, a large and small length could be defined as 400 and 100 respectively.
Please be aware that there are limits to the amount of historical data for any intraday level based on your TradingView subscription level:
• Basic – 5000 bars/candles
• Pro & Pro+ - 10000 bars/candles
• Premium – 20000 bars/cables
TradingView Backtest
By utilizing TradingView backtest you can set a specific date for your analysis.
Combo 2/20 EMA & ADXR This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Average Directional Movement Index Rating (ADXR) measures the strength
of the Average Directional Movement Index (ADX). It's calculated by taking
the average of the current ADX and the ADX from one time period before
(time periods can vary, but the most typical period used is 14 days).
Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening
and weakening trends. However, because it represents an average of ADX, values
don't fluctuate as dramatically and some analysts believe the indicator helps
better display trends in volatile markets.
WARNING:
- For purpose educate only
- This script to change bars colors.
Unicorn Quant Strategy [Astride Unicorn]Deeply customizable trading algorithm with instant back-testing. Its position management and trading signals engines emulate every step of the trading process and display all the actions on the chart. For example, the algorithm shows when to enter or partially close a position, move stop-loss to breakeven, etc. The trader can use these signals in their decision-making and replicate these actions in their trading terminal. The script can also send real-time alerts to the user’s Email.
The trading signals feature calculates entry signals for momentum and trend trading. The calculation is based on trend filtering using our custom filter based on rolling historical volatility. The historical volatility is used to distinguish the market regime and determine the current trend direction. In its calculations, the algorithm uses linear regressions instead of averaging. As our practice shows, it helps to reduce signal lag while keeping the number of false signals low.
HOW TO USE
Set stop-loss and up to three take-profit levels, choose rules for moving the stop-loss level, adjust sensitivity of the entry signals and see the back-test result immediately. If the performance of the strategy satisfies you, proceed with the forward-testing or live-trading.
When using this script, please, keep in mind that past results do not necessarily reflect future results and that many factors influence trading results.
SETTINGS
Use Starting Date - when the flag is turned off, the algorithm uses all available pricing data to calculate back-tests; when turned on, back-tests start from a starting date the user can select in the setting below.
Starting Date - sets a starting date for back-testing.
Trading Signals
Trade Length - defines the length of the trades the algorithm tries to calculate entry signals for. Recommended values are from 1.0 to 6.0.
Sensitivity - controls the sensitivity of the trading signals algorithm. The sensitivity determines the density of trading signals and how close the trailing-stop levels follow the price. The higher the value of this parameter is, the less sensitive the algorithm is. High values of the Sensitivity parameters (100-500) can help to withstand large price swings to stay in longer price moves. Lower values (10-100) work well for short- and medium-term trades.
Signals Type - In the Signals Type dropdown list, there are two options: Market Timing and Market Bias. Market timing is a type of trading signaling when the algorithm tries to find a perfect moment to enter and exit a trade. Market Bias is the type of trading signaling when the algorithm tries to be in a position all the time. When a trade is closed, the algorithm determines a direction to which the market is currently “biased” and immediately opens a trade in this direction.
Position Management
SL - sets stop-loss level measured as a percentage of the trade entry price
TP1, TP2, TP3 - sets take-profit levels measured as a percentage of the trade entry price
Close % at TP1, Close % at TP2, Close % at TP3 - Sets portions of the open position(as a percentage of the initial order size) to close at each of the TP levels
At TP1 move SL to, At TP2 move SL to - Sets the rules for moving stop-loss level in an open trade to protect the floating profit
Dashboards
Active Position Information - turns on/off a dashboard that shows the current SL and TP levels for the active position.
Recommended SL,TP Settings - turns on/off a dashboard that shows recommended settings for the SL and TP levels.
TTP Grid BacktesterThis pine script strategy allows to backtest Grid bots.
This initial version offers the following features:
- Set the top and bottom limits of the grid
- Plots the average position price, realised and unrealised profits
- Set the value to invest
- This script is a strategy so you can check each individual buy/sell, stats and all included with strategies
What does it do:
- Depending where is located the initial close price relative to the grid (above, below, inside) it will buy for as many levels are above the price.
- It will disable a level that recently filled an order (in the way grids bot do)
- When the grid starts it will disable the closest grid level
- It places limit orders in the active levels and many levels can be filled in a single candle
- You can activate recalculate on each order filled, which will allow to fill further needed orders if the price swings up and down crossing multiple times multiple grid levels but I have found that doing this can compromise the accuracy of the price used on those levels (there are minor gaps between the filled price and the original level price)
How to use it:
- When you add this strategy to the chart you will be asked to select the top and bottom limits of the grid
- Notice you can always select the strategy in the chart and drag and drop the limits to adjust the grid
- Once the grid is in place, you can use either lower chart timeframes for higher accuracy of the stats, or higher timeframes if you want to privilege longer periods of testing
How to set the correct "initial capital"
In order to prevent getting wrong stats you need to make sure you are using the correct initial capital. If you put less than what you are actually using your results will be over inflated. If you set an initial capital below what the bot requires, your results will be smaller than they should.
- If you want to use exactly 100% of the capital for the grid use then first select what amount per level you want to use. Set this value in the settings of the indicator (if you are trading BTCUSD pair, how much BTC you want to use per level, 0.01 for example).
- Once you have set this value, then open the TradingView "Data Window" to be able to visualise the calculation of cash required to run the grid that the strategy is giving you. In our example with BTCUSD this value will be given in USD.
- Enter this amount in the "Properties" tab, "Initial Capital". If you enter the exact amount you will be using all for the grid usage.
- The grid first action will be to buy 0.01 for each level that is above the current price in the first candle of the chart. If there are no levels above it won't do any initial investment.
- The rest of the cash will be use to buy levels below if the price goes to the lower range of the grid later
Intention of this script
I built this script to help me understand better how grid bots work.
Understanding the flow of realised vs unrealised profits in a grid can help me understand why sometimes even if you are in red on unrealised profits, you can still compensate with realised profits and many other tricky scenarios with grids.
Sometimes I'm running a grid bot and would like to simulate how much better (or worst) it would have been to run it using different limits.
Future work and ideas
Initially I'm focusing on confirming that the grid behaves correctly and that the stats are as accurate as possible.
That is the first priority.
Once I feel more confident with the accuracy I will consider adding some of the following ideas (not in any particular order):
- Table with stats including: price of each level, times the level filled an order, times it was use for selling/buying, etc. Time it took to become in realised profit. Comparison against profits from buy & hold.
- Trailing TP/SL
- Entry/exit price
- Trading time window: only trade between the specified dates/times
- Alerts
Super Scalper - 5 Min 15 MinThis strategy is based on RSI and ATR Bands which works better in 5 and 15 Mins time frame.
Perform enough back testing with 1:2R before using in real time.
Entry only on trade on screen symbols, use additional buy/sell alerts to book profit or to trail SL.
I have also added Golden Cross Over of 65 and 21 EMA to have confirmation on trend.
Accurate BUY & SELL 5 mins TF by RRAlways trade using 5 mins Time frame of chart.
For Buy entry always buy 1 point above the candle closing price & SL would be previous candle low or 30 points.
For Sell Entry Always Sell 1 point below the candle opening price & SL would be previous candle high or 30 points.
Do not take trades using 3 mins Time frame, as there is lot of noise. It works best with 5 mins Time frame.
I have adjusted/set according my trading pattern, if needed use the settings options to set accordingly .
Removed range highlighter to keep the chart simple.
Original Version credits to ZacVaughn
Actual Version i just set alerts and change the parameters for Crude OIL 5min Chart.
NO REPAINT.
Wait For Barclose
Ultimate Kinski Histogram Strategy [PrismBot] [Lite]This is an anti-curve fitting strategy that has no value inputs for the strategy settings. It just works , as they say.
This is based on the @KINSKI Buy-Sell Signal , but also incorporates other confluence (an MACD and histogram) and incorporates it into a fully automatable strategy with customizable order settings and quantity calculations.
The strategy has potential in scalping, but works best (in my testing) on higher timeframes (15M and up) with the default strategy.
Included in this Strategy:
✔️ Tweak a multitude of specific settings (MA lengths, R:R, SL distance etc)
✔️ Enable advanced setup filters
✔️ Use money management and risk calculations
✔️ Draw trade info directly to chart (eg. SL size in percent, win rate etc)
✔️ Use various filters (eg. time filter, date filter, MA slope angle etc)
✔️ Manage risk per position when auto-trading forex through AutoView
✔️ Choose from various alert conditions!
✔️ Sync to any bot or algorithmic trading system
Top 40 High Low Strategy for SPY, 5minThis strategy is developed based on my High Low Index SPY Top 40 indicator
Notes:
- this strategy is only developed for SPY on the 5 min chart . It seems to work with QQQ as well, but it isn't optimized for it
- P/L shown is based on 10 SPY option contracts, call or put, with strike price closest to the entry SPY price and expiry of 0 to 1 day. This includes commissions (can be changed). This is only an estimate calculated using an arbitrary multiplier factor, this can be changed in the setting
- P/L is based on $5000 initial capital
- Works with both regular / extended trading session turned on/off. However, max drawdown is 1/2 with extended trading session ON
- there is still a bug that doesn't allow alert to be created due to calculation error, will update once fixed
This strategy combines signals from the following indicators to determine entry signals:
- High Low Index SPY Top 40
- MACD
- Linear Regression Slope
Entry signal is triggered when:
- High Low Index line crosses the EMA line
- MACD trending in the same direction
- Linear Regression slope is accelerating above a threshold in the same direction, indicating a strong trend
Profit target(PT) and stop loss(SL) are determined using ATR value, with 2:1 Reward to Risk ratio as default.
Exit signal may be triggered prior to PT or SL trigger when:
- High Low Index SPY Top 40 shows a reversal after overbought or oversold conditions (optional)
- Opposite entry signal is triggered
There are a number of optional settings:
- Turn on/off "option trading", P/L will be calculated using share price only without multiplication factor for trading option contracts
- # of options per trade, default to 10
- Reinvest with profit made
- Trade with trailing SL after PT hit
- Take profit early based on Top 40 overbought/oversold
- Trade 0/1 day expiry. This will signal exit by the end of the day on Mon/Wed/Fri, and only exits 1/2 of positions (if in profit) on Tues/Thurs
- Can reduce the SL level without impacting PT
- No entry between 10:05 - 10:20 (don't ask me why, but statistically it performs better)
Consider donating me some of your profit if you make $$$ hahaha~ ;)
Enjoy~~
boonam17_ALERT이용 관련 문의는 이메일 boonam17@naver.com 통해 해주시기 바랍니다.
백테스트 결과와 실제 투자 결과는 개인 블로그를 통해 업데이트할 계획입니다.
Combo 2/20 EMA & Adaptive Price Zone This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The adaptive price zone (APZ) is a volatility-based technical indicator that helps investors
identify possible market turning points, which can be especially useful in a sideways-moving
market. It was created by technical analyst Lee Leibfarth in the article “Identify the
Turning Point: Trading With An Adaptive Price Zone,” which appeared in the September 2006 issue
of the journal Technical Analysis of Stocks and Commodities.
This indicator attempts to signal significant price movements by using a set of bands based on
short-term, double-smoothed exponential moving averages that lag only slightly behind price changes.
It can help short-term investors and day traders profit in volatile markets by signaling price
reversal points, which can indicate potentially lucrative times to buy or sell. The APZ can be
implemented as part of an automated trading system and can be applied to the charts of all tradeable assets.
WARNING:
- For purpose educate only
- This script to change bars colors.
"Buy signal" from Cipher B for 3commasThis is another modification for cipher B indicator from VuManChu. I also would like to acknowledge "The Art of Trading" channel in youtube for their mastery pine script course.
This script is designed to send alerts to 3commas platform. In strategy.entry in comment option, you can incorporate your token for your bot.
The buy signal accomplishes only when BTC is above simple moving average (SMA).
When BTC crosses down SMA, any position closes immediately.
The parameters were tuned for this particular plot.
Inside Breakout PerQuantumCoin Premium Indicator (strategy)HOW IT WORKS:
- The Inside Breakout gives signals on the chart on the breakout of inside bar chart pattern;
- It allows to trade trend or counter-trend signals;
- Computes intrinsic values to access the strength of the Buy/Sell signal;
- Allows users to adjust their own settings, adapting the signals produced;
- These signals can be also set up as Alerts;
- The indicator has a few custom features that allows users to filter out signals using multi-timeframe trend indicator and to keep tracking positions so that one can only get new signals when they reserve position;
This Strategy version is meant to be a companion to the main indicator in order to backtest your SLT/TP settings with different instruments and adapt results.
Please NOTE:
Results may vary depending on TP/SL settings. Also, previous performance is not a indicator for future results.
QaSH Linear Regression + SuperTrendThis script uses linear regression and standard deviation measurements to trigger entries and calculate placement of TP and SL prices. A larger linear regression line will provide the market trend, while a smaller linear regression line will look for pullback entries within the larger trend. Up to 10 orders can run in parallel as a form of pyramiding in and out of a position. The supertrend is used as an additional filter for trend confirmation.
Trend following and mean reversion entries can be used per your preference. Several other entry filters are available for confirmation.
The stoplosses can be moved to breakeven during a trade, and an alert will be sent that includes the exact order ID that needs to be moved, and to what price. This is an advanced feature that is very powerful when used with a capable automation service.
Mix1 : Ema Cross + Trend Channel [Gu5] - BacktestBacktest of the indicator "Mix1: Ema Cross + Trend Channel "
Trend indicator, by the crossing of moving averages
SMA200 with a channel as a filter confirms the trend.
The crossing of two moving averages, give alert only in trend.
[blackcat] L2 Reversal Labels StrategyLevel: 2
Background
There is a Chinese proverb that says: "The great way leads to simplicity". This indicator is the representative of this meaning. Through the processing of the most common MACD indicator data, it is possible to quickly determine the market price: whether the current price is at a historical high or low, whether a reversal will happen soon, etc. at a glance.
Function
This is the strategy version of the same indicator which performs screening and filtering through the fast and slow line data corresponding to the output of the standard MACD indicator, so as to realize the function of judging the top and bottom of the trend.
Inputs
N/A
Key Signal
Near Top --> Top is reached and reversal may happen soon. (red labels)
Near Bottom --> Bottom is reached and reversal may happen soon. (green labels)
Remarks
The backtest result is picked up and optimized for BTCUSD '2D' time frame, it does not work constantly well for any time frame. You need to combine other indicators for other trading pair and time frame.
You can add alerts for this version.
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[MAD MBS] L5 RiskManagementL5 RiskManagement of the "Modular Backtest System" series is a part from a framework of modules to easily implement custom strategies more ore less like "drag and drop"
This is the risk management module that uses my "multibit" signal communication
All this here in the interactive screenshot represents the whole framework, when interconnected and after propper configuration.
Some modules that have already been released or are planned to be released in the near future
Wavebuilder module (SMA EMA HMA,..)
Multispikes module
..... no idea what will come here next
Bollinger module
Statistics module
..... some ideas here (Trends,... Multitimeframe stuff)
Processor x8
Processor x16-x64
Risk management (contains an alert builder to generate commands for external webhook trading bots.
------------------------
What can this risk management do?
Classic position handling from DCA to breakout
Multiple targets
position risk management by intelligent reduction of positions in case of overinvestment
Stop
Marketmaking
SL automatically move profit after takeprofits
Position change strategies
and much more...
Statistics about all your positions including TP1, TP2, TP3, SL's,...
Testing own indicators:
Create a signal like this here inside your indicator and map the two outputs correctly
signalout = 0
signalout := (signal_buy? 1: signal_sell? -1: 0)
BM_color_signal = signal_buy? #4C9900 : signal_sell? #CC0000 : color.black
L_digital_signal = plot(signalout, title ="Digital signal", color=BM_color_signal, transp=0, style=plot.style_columns, display=display.none)
after this you use
set input to -1 0 1
daisychaint the stuff correctly together including signal mapping and you are ready to go
Chain looks like this:
L1 (your indicator)
L3 processor
L5 risk management
Some screenshots with finished configuration and different L1 signalsources
The libary used for this project
Hourly Bias on BTC in Bullish USA Session “Green Eagle”Name: Hourly Bias on BTC in Bullish USA Session
Category: Hourly Bias
Operating mode: Spot, only long
Trades duration: Intraday, 11 bars
Timeframe: 1H
Suggested usage: When the market is compressed, USA session has a bullish bias.
Entry: enter Long at 15:00 on specific days of the week. There is a volatility filter based on ATR which identifies compression.
Exit: exit at a pre-defined time at 01:00
Usage:
⁃ It can be useful to use alerts or webhooks to automate this strategy.
⁃ This is a core system that can be improved in different ways (e.g. Stop-loss, take-profit, position sizing) or studying more the behaviour in the specific days of the week or short when is red.
Configuration:
- N/A
Backtesting
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT
⁃ Timeframe: 1H
⁃ Fee 0.075%
⁃ Slippage 2
- Start : 2019-01-06
We decided to release this free BTC strategy.
How you or we can improve? Source code is open so share your ideas!
[Hercules] Backtest FrameworkLevel: 5
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,
However, 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 "fixed and flexiable", 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: "{Hercules/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: "{Hercules} 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 "{Hercules} 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 "{Hercules/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: "{Hercules/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: Hercules 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.
Subscription
To encourage more people use this framework and avoid some abuse this one, I would like to set
100 Tradingview Coins per Monthly Subscription.
100X10 Tradingview Coins per Yearly Subscription.
Combo 2/20 EMA & Accelerator Oscillator (AC) This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Accelerator Oscillator has been developed by Bill Williams
as the development of the Awesome Oscillator. It represents the
difference between the Awesome Oscillator and the 5-period moving
average, and as such it shows the speed of change of the Awesome
Oscillator, which can be useful to find trend reversals before the
Awesome Oscillator does.
WARNING:
- For purpose educate only
- This script to change bars colors.