Strategy Multiple Orders + Statistics Template - EducationalHello traders
It's been a while
We're back in a bear market so I have a bit more time to publish new Pine scripts for the TradingView community
Special thanks to @fikira for his Multiple Orders script () and to @carnagecain for allowing me to publish this script we worked together on
I got widely inspired by @fikira's script for that one
This script is for educational purposes only - I wanted to show how we can add multiple TPs/SL + a table with custom statistics
In this Strategy template, users can define multiple take-profit and multiple stop-loss levels.
Basically, we have 4 trades per trend and each trade has its own SL/TP
Statistics
Stats are split per trade direction (Long, Short) and then consolidated
I put custom stats in that table such as:
- Probability of Win
- Probability of Loss
- Avg Profit/Loss per Trade
- APPT: (Probability of Win * Average Gross Profit) - (Probability of Loss * Average Loss)
- Number of times each TP/SL has been hit
I'm catching up with all recent pinescript features as we speak - more educational scripts template to come soon
Best Regards
Dave
Statistics
Optimizer ~ Beta 0.1 | Belfort TradersOptimizer
The Optimizer backtests the maximum amount of moving averages which can be possible created ((max amount of bars / 2)-1) and compares them all with one another to then plot the most profitable strategy.
Current Achievement:
-> Get it to work, make it work with 106 different moving averages. ==> Beta 0.1
Roadmap:
0.15 Basic Comparison of 5k moving averages <= 07.06.22
0.2 Risk Management Basics <= 07.06.22
0.3 Finding the most profitable timeframe <= 07.06.22
0.4 Testing the limits of Tradingview <= 14.06.22
0.5 Complex array sorting list, comparing 1k moving averages, taking the most profitable out, going to the next list ==> Bypassing calculation limit by doing that. <= 14.06.22
0.6 Volatility adjusted moving averages <= 14.06.22
==> Find more likely profitable moving averages, run those first -> Increase efficiency
0.7 Add second filter (Either most profitable strategy or most reliable strategy) ==> Order Frequency Ratio <= 14.06.22
0.8 Complex Risk Management <= 14.06.22
0.9 Reliability Ratio weekly volatility average filter used as a protective filter if current weekly volume is drastically different from the past's weekly volatility average with fractal patterns
<= 21.06.22
1.0 Finished Optimizer
Portfolio Management for this Performance:
Initial Capital: 20000 USD
Risk per Trade: 10% of capital
Commission: 0.01%
Slippage: 4 ticks
trading YM based on pair tradingThis is inspired by some online free webinars. Didn't pay for the strategy/ course. I just figured it out myself. So there might be problem with this strategy.
Theory: It is based on something called cointegrated. Cointegration means the difference between 2 securities are stable in long term. When the difference is bigger / smaller than normal, then there is space to make profit. You can use some tests to check if they are cointegration. I don't think YM and NQ are strictly cointegrated. I used other platform to test the cointegration. They are not cointegrated. There are multiple ways to do pair trading. I use "Y = A - B * (A /B)" to do this. The back test on tradingview can only trade one security. This is not pair trading in this backtest. But only do long and short based on the theory of pair trading. The max drawdown is huge. You should be careful before doing anything with this strategy.
Welcome to give some advice on improvement.
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
[ROXX] Advanced SuperTrend Strategy Hello Trader(s):
This is a CTA Strategy for BUY THE TRENDING. Try it in 4-hour Kline.
SuperTrend is one of the most common ATR based trailing stop indicators.
This is an alternative of the classical Supertrend based on candle close being above/beyond the previous Supertrend level.
Hope you'll enjoy it and it will improve your trading making you a better trader
ROXX
CoinFlip Indicator + StrategyFlip a coin every Monday.
Heads, go long. Tail, go short. Stoploss at 1 ATR, and Take profit at 1 ATR too. 1:1 risk to reward ratio.
After backtesting 2018, 2019, and 2020 with 28 major currency pairs. We are getting close to a 50% win rate with an 8% standard deviation.
Believe it or not, this simple performs better than lots of the popular indicators out there.
Don't believe me? Test it out yourself!!
Use this as a baseline for your backtest and expose all your other crappy indicators :)
HOW TO USE:
As an indicator:
1. Use a daily chart
2. Green arrow below chart, go long, set a stop-loss at 1 x ATR, and take profit at 1 x ATR
3. Red arrow above chart, go short, set a stop-loss at 1 x ATR, and take profit at 1 x ATR
As an indicator:
1. In setting, set a year to test (default to 2020)
2. Go to the strategy tester and observe the stats
P.s. You can also set the period of the ATR to another value other than 14 periods.
Loft Strategy V4This strategy is an advanced version of the Loft Strategy V1, I shared earlier. (Loft Strategy V1 consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following and the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.)
In addition to the previous version, it includes a martingale like deviation and multiple take-profit.
Here it is some parameters definitions of the strategy:
Kalman Filter: The higher this parameter, the faster and more aggressive the filter. Otherwise the filter goes very smoothly
Beginning Approach: First approximation as a percentage of stop-n-reverse line
Final Approach: Minimum approximation of stop-n-reverse line
Approach Decrease Step: If the price moves in the same direction as the strategy, the approach percentage is reduced by this parameter. Otherwise nothing do
Base Order Quantity: Initial capital of position
Max Safe Order Attempt: This parameter determines the maximum number of times the strategy will raise the bet after losing in a row.
Safe Order Deviation: if the last trade is loss, multiply the bet by this parameter (aka. martingale factor)
Profit Deviation: if last trade in loss, multiply the take-profit points
Max Order Quantity: Maximum capital allowed for a position
TP1, TP2, TP3 : Take profit spots in percentage
QT1, QT2, QT3: Amount of take-profit spots
Stop Loss: Maximum stop loss allowed for a trade
Long Entry, Short Entry: Only long side, only short side or both side
Safe Stop After TP2: If the price reaches the TP2 point, move the stop-loss point to the entry price.
Safe Stop After TP1: If the price reaches TP1, move the stop-loss point to the stop-n-reverse line.
iCryptoScalperHi everyone!
In this post I would like to present my personal indicator for short-term strategies on cryptocurrencies called iCryptoScalper , but let me first introduce myself:
I am a theoretical physicist with a deep passion for trading and mathematical modelling of the financial markets.
I started trading cryptocurrencies more than 4 years ago and, throughout this period, I got more and more involved in trying to describe the mechanisms governing
the price action at lower timeframes like 1, 5 and 15 minutes.
As a beginner, I started with the usual "buy and hold" strategy, the safest but also boring option. Afterthat, I tried to get more involved on speed trading
and scalping and, as it happens to all the beginners, I went through many mistakes.
At the beginning, trying to find the best scalping strategy, was a very difficult task and I barely managed to perform well, mostly because every trade were overwhelmed
by my emotional approach and the fear of missing the right entry point and/or exit point. However, thanks to these difficulties, I understood that I needed
an algorithmic procedure to improve my performances and overtake the emotional approach, with a more technical approach: a mathematical guide that precisely tells me how to behave in the best way possible to be profitable.
To achieve this goal, I put all my efforts in trying to write a consistent mathematical model able to give me all the statistical informations I needed to reach
the best performances and, of course, the best possible profits.
The iCryptoScalper is an explicit mathematical tool to be used for scalping strategies and optimized for different cryptocurrency pairs on 15/30 min timeframes.
The script gives you many useful informations and details regarding the current and subsequent trade, accompanied with a detailed overview on both the last 20 short
and long trade results.
Let us have a look to all the detailed informations the script shows to you:
CHART
- Lines: The script plots for you the Entry price (yellow line), the Stop Loss price (red line) and a series of 8 Take Profit levels (green lines).
- Background: The green background color indicates that the script is in a long position, viceversa, the red background color indicates that the script is in a short position.
- Labels: The blue labels indicate the maximum achieved profit for each trade.
- Alerts: The script shows two types of alerts, the "prepare to #" one and the true entry one. The prepare alert is very useful to understand when the strategy is going
to enter a specific trade, thus giving you the possibility to set up all the necessary Entry/SL/TP levels on your favorite trading platform.
- Crosses: The green and red crosses are precisely located at the corresponding long and short entry price for the next trade, thus giving you a preview on the target price
that has to be reached for the indicator to enter. They are computed thanks to a mathematical model I set up and optimized for each cryptocurrency pair.
PANEL
- Overview: This part shows you two probability tables for the last 20 long and short trades each. The first table indicates the set of probabilities of reaching the corresponding TP level, whereas the second table shows the conditional probability , namely the probability of reaching a certain profit level once the previous one has been achieved.
Below the tables you can find three quantities again referring to the last 20 long and short trades: the Average Maximum Profit , the Average Maximum Drawdown and the Average Risk/Reward Ratio .
Last but not least, the correlation between the current asset and BTC is displayed together with the current BTC status.
- Active Trade: This part collects all the data related to the current trade status.
- Next Trade: This part collects all the data related to the next trade status.
ATTENTION!
Please notice that the equity line you see in the "Strategy Tester" section of TradingView is unreliable compared to the real performances of the script. This is due to the
fact that the TradingView engine is designed for backtesting automatic trading strategies and not real-time trading bots.
An example is the following: Bob buys 1 BTC-PERP contract at 10000$, setting the Stop Loss at 9000$. The price of the perpetual then goes to 12000$ and then go back hitting the Stop Loss. For the TradingView Engine this is a
trade with a permanent loss of 1000$. However, for the iCryptoScalper users, the trade is perfectly fine thanks to the numerous TP levels (and corresponding probabilities) given by the script within the trade window.
Co-relation and St-deviation Strategy - BNB/USDT 15minThis indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points.
1. Parabolic SAR (parabolic stop and reverse)
2. Supertrend
3. Relative strength index (RSI)
4. Money flow index (MFI)
5. Balance of Power
6. Chande Momentum Oscillator
7. Center of Gravity (COG)
8. Directional Movement Index (DMI)
9. Stochastic
10. Symmetrically weighted moving average with fixed length
11. True strength index (TSI)
12. Williams %R
13. Accumulation/distribution index
14. Intraday Intensity Index
15. Negative Volume Index
16. Positive Volume Index
17. On Balance Volume
18. Price-Volume Trend
19. True range
20. Volume-weighted average price
21. Williams Accumulation/Distribution
22. Williams Variable Accumulation/Distribution
23. Simple Moving Average
24. Exponential Moving Average
25. CCI (commodity channel index)
26. Chop Zone
27. Ease of Movement
28. Detrended Price Oscillator
29. Advance Decline Line
30. Bull Bear Power
Compound Indicator Strategy - BTC/USDT 3hThis is an Strategy finds and utilise end points of short term market trends and this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index ( MFI )
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator ( RSI )
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average ( SMA )
10. Exponential moving average ( EMA )
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
after generating a common indicator, it evaluates standard deviation and standard variance with currant market price action and generates a buy and sell signals. you can determine your own trading method based on available options.
Btcusdt - 4hr Trendreversal algoritmeIn this strategy we use a combination of differents indicators to catch the highs and lows and follow the right direction at all times.
The conditions of this 4hr algo are based on Ema's and WMA's that rise or fall:
Momentum;
Price Action
Volume
RSI
BB
I have backtested the algo for 2 years before i ran it live. I ran the algo live for 1 year now and ( October 2020) as for now the algo indicates a trend reversal 70-80% correctly.
The backtest result shown started from 01-10-2017and is simulated using 15% of the capital on BINANCE:BTCUSDT
I have varies Algo's on different Timeframes. If you're interested sent me a message.
Please be aware that past results are no guarantee for future performance!
Aphrodite// v4
// continuation of prime number checker with strat commands and normal distribution theory put in
//pump/dump trend following strategy idea added.
//Pseudo Random Number Generator Box Muller Normal Distribution Method - code from Function - Functions to generate Random values by RicardoSantos. Dots are calculated by an adaptation of the ideas
//in this script.
// volume accumulates when dots are green for buys, red for sells. This setup is just looking for buys but this is very easy to change
//just go to trading day and swap all strategy.long commands for strategy.short commands
// Exits on minutes where OHLC all return 'primeness'
//Reinforced dots (with black) when last three dots are all of same colour
3Commas DCA Bot Strategy v1.0Introduction
The strategy attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This strategy is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This strategy offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Price Change Scalping Strategy v1.0Introduction
This strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Price Crossed Above Threshold
Price Crossed Below Threshold
Enter Long Position
Exit Long Position
Enter Short Position
Exit Short Position
Price Crossed DCA Layer 1 (Long)
Price Crossed DCA Layer 2 (Long)
Price Crossed DCA Layer 3 (Long)
Price Crossed DCA Layer 4 (Long)
Price Crossed DCA Layer 5 (Long)
Price Crossed DCA Layer 6 (Long)
Price Crossed DCA Layer 7 (Long)
Price Crossed DCA Layer 8 (Long)
Price Crossed DCA Layer 1 (Short)
Price Crossed DCA Layer 2 (Short)
Price Crossed DCA Layer 3 (Short)
Price Crossed DCA Layer 4 (Short)
Price Crossed DCA Layer 5 (Short)
Price Crossed DCA Layer 6 (Short)
Price Crossed DCA Layer 7 (Short)
Price Crossed DCA Layer 8 (Short)
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 2.74506% of the equity with a Order Size Multiplier of 1.33, using 8 total DCA layers, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typcially takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
xGhozt Consecutive Candle Count - BacktestxGhozt Consecutive Candle Count with Backtest simply counts consecutive positive or negative candles, and allows you to get the live statistics of how many times this consecutive candle series occurred in the past, with the probabilities of the next candle to be a reversal, and the average past gains from that reversal. You can select the number of consecutive candles you're tracking, and select a start and end date. When your desired pattern is met by the indicator, it will indicate you on the chart if it's worth shorting or longing the next candle.
You also have the possibility to set up alerts when your consecutive candles patterns are met. To do so, go into the indicator's settings, select your time frame, the consecutive number of candles you are tracking, your success rate, and the number this pattern occurred in the past. Once it's done, open the alerts box, and set up your alerts accordingly.
You will have 2 options:
- Green Candles Followed by Red = short next candle.
- Red Candles Followed by Green = long next candle
Now that the backtest is added, you can try different combinations and figure the best outcome to get the best returns!
One thing to note with the backtest: you cannot run the backtest with take profits / stop loss AND candle closing, it has to be one of the two.
