Martingale8MARTINGALE8 Indicator: Comprehensive User Guide
Welcome to the MARTINGALE8 Indicator, your ultimate tool for implementing a customizable martingale trading strategy directly on TradingView! Whether you're a beginner trader or an experienced strategist, this indicator offers flexibility and clarity, empowering you to trade with confidence. Let’s dive into how you can make the most of it!
What Is the Martingale Principle?
The martingale strategy is a betting technique often used in gambling and trading. The idea is simple: double down on losing positions so that when a trade eventually succeeds, the profits will recover all previous losses and yield a small profit. In trading, this translates to placing incrementally larger buy orders as the price moves against your initial position, assuming the price will eventually reverse in your favor.
The martingale principle works under the asumption of mean reversion —that the price will eventually recover to a point where all accumulated losses are recouped, and a profit is made. By increasing order sizes at lower levels, the average entry price moves closer to the current price, reducing the price move required to reach profitability. However, like any strategy, it carries risks — if the price continues to move against your position without reversing, losses can escalate quickly .
What Does MARTINGALE8 Do?
The MARTINGALE8 Indicator is an open source script designed to:
Calculate multiple price levels (buy and take-profit) using a martingale strategy.
Allow full customization of entry size, order deviation, profit targets, and order multipliers.
Visualize key trading levels directly on the chart for better decision-making.
Provide helpful labels with real-time metrics like total cost, range analysis, and high-volume bar prices.
This indicator is ideal for traders looking to automate and refine their martingale-based trading approaches.
Features
1. Customizable Inputs
You have complete control over key parameters:
Start Price: Set a custom starting price, or let it default to the market price.
Entry Size: Choose your initial trade size (default: equivalent to 7.5 USDT).
Order Multiplier: Adjust the size of each subsequent order in the martingale sequence.
Order Deviation: Define the percentage deviation for each buy level.
Profit Deviation: Determine the target percentage deviation for take-profit levels.
Length: Specify the lookback period for market analysis (default: 84 bars).
2. Market Analysis
The script calculates key metrics, including:
Highest Volume Bar (HVB): Identifies the bar with the highest trading volume in the selected period.
Range Analysis: Computes the high-to-low range percentage to help you understand market volatility.
3. Martingale Levels
Automatically generates :
10 Buy Levels: Strategically placed below the starting price.
Take-Profit Level: A target above the starting price based on the profit deviation.
4. Cost Calculation
The script calculates the total cost of all orders, including a 10% buffer for safety, so you can plan your capital allocation effectively.
5. Visual Elements
The indicator draws clean and intuitive lines for:
Take-Profit Level: Highlighted in fuchsia.
Buy Levels: Clearly marked with aqua lines.
Zero Line: Your base price, shown in white.
Additional labels provide:
A summary of key metrics like total cost, entry price, and range.
Precise price values for the take-profit and lowest buy levels.
How to Use MARTINGALE8
Step 1: Add the Indicator to Your Chart
Click on the “Indicators” tab in TradingView.
Search for “MARTINGALE8” and add it to your chart.
Step 2: Configure the Inputs
Navigate to the Settings menu of the indicator and adjust the following parameters:
Start Price : Set your starting price or leave it as 0 to use the current market price.
Entry Size : Define the size of your initial trade (e.g., 7.5 USDT).
Order Multiplier : Choose how much larger each subsequent order should be.
Order Deviation : Specify the percentage distance between buy levels.
Profit Deviation : Set your desired percentage for the take-profit level.
Length : Adjust the number of bars to analyze for high volume.
Step 3: Visualize the Levels
The indicator will plot:
A white line for the base price.
Aqua lines for the buy levels.
A fuchsia line for the take-profit level.
Step 4: Monitor the Labels
Look for the summary label on the chart, which shows:
Total cost of the martingale orders.
Entry price and key market metrics (range, high-volume bar price).
Tips for Optimal Use
Adjust Inputs to Match Market Conditions : Experiment with order and profit deviations to account for volatile or steady markets.
Manage Risk : Use the cost calculation feature to ensure you allocate capital responsibly.
Technical Details
The script is written in Pine Script v6 and uses:
Switch Statements : For flexible default values.
Line Objects : To draw and update key price levels dynamically.
Labels : To display relevant trading metrics.
I’m glad to share this tool with the TradingView community. If you enjoy using MARTINGALE8, please keep it going and share your feedback. Let’s trade smarter, not harder!
Search in scripts for "order"
DCA Simulation for CryptoCommunity v1.1Overview
This script provides a detailed simulation of a Dollar-Cost Averaging (DCA) strategy tailored for crypto traders. It allows users to visualize how their DCA strategy would perform historically under specific parameters. The script is designed to help traders understand the mechanics of DCA and how it influences average price movement, budget utilization, and trade outcomes.
Key Features:
Combines Interval and Safety Order DCA:
Interval DCA: Regular purchases based on predefined time intervals.
Safety Order DCA: Additional buys triggered by percentage price drops.
Interactive Visualization:
Displays buy levels, average price, and profit-taking points on the chart.
Allows traders to assess how their strategy adapts to price movements.
Comprehensive Dashboard:
Tracks money spent, contracts acquired, and budget utilization.
Shows maximum amounts used if profit-taking is active.
Dynamic Safety Orders:
Resets safety orders when a new higher high is established.
Customizable Parameters:
Adjustable buy frequency, safety order settings, and profit-taking levels.
Suitable for traders with varying budgets and risk tolerances.
Default Strategy Settings:
Account Size: Default account size is set to $10,000 to represent a realistic budget for the average trader.
Commission & Slippage: Includes realistic trading fees and slippage assumptions to ensure accurate backtesting results.
Risk Management: Defaults to risking no more than 5% of the account balance per trade.
Sample Size: Optimized to generate a minimum of 100 trades for meaningful statistical analysis. Users can adjust parameters to fit longer timeframes or different datasets.
Usage Instructions:
Configure Your Strategy: Set the base order, safety order size, and buy frequency based on your preferred DCA approach.
Analyze Historical Performance: Use the chart and dashboard to understand how the strategy performs under different market conditions.
Optimize Parameters: Adjust settings to align with your risk tolerance and trading objectives.
Important Notes:
This script is for educational and simulation purposes. It is not intended to provide financial advice or guarantee profitability.
If the strategy's default settings do not meet your needs, feel free to adjust them while keeping risk management in mind.
TradingView limits the number of open trades to 999, so reduce the buy frequency if necessary to fit longer timeframes.
Entropy-Based Adaptive SuperTrendOverview:
Introducing the Entropy-Based Adaptive SuperTrend – a groundbreaking trading indicator designed to adapt dynamically to market conditions using market entropy. This enhanced SuperTrend indicator adjusts its sensitivity according to the level of chaos (or order) in price movements, providing more stable signals during volatile periods and more responsive signals when the market becomes orderly.
Key Features:
Entropy-Adaptive Mechanism: By incorporating an entropy measure, this indicator estimates the degree of unpredictability in the market. During high entropy periods (more chaotic), signals are made less sensitive, while during low entropy periods, the indicator reacts more quickly to price changes.
Adaptive ATR Multiplier: Unlike traditional SuperTrend indicators that use a fixed ATR multiplier, this version calculates a dynamic ATR multiplier based on the entropy score, ensuring more flexibility and adaptability in setting stop levels.
Visual Clarity: The indicator is overlayed on the price chart with customizable visual elements. The bullish and bearish trends are color-coded for ease of use, and optional entry signals ("L" for long and "S" for short) are plotted to clearly mark potential entry opportunities.
Alerts for Key Opportunities : Never miss an opportunity with built-in alerts for buy and sell signals. Traders can easily configure these alerts to be notified instantly when market conditions trigger a new trend.
How It Works:
Entropy Calculation: The entropy of the price data is calculated over a user-defined period, giving an indication of the degree of randomness in the price movements. The result is then smoothed to reduce noise and create a meaningful trend indication.
Dynamic ATR Adjustment: The ATR (Average True Range) multiplier, which controls the distance of the trailing stop, is adjusted based on the entropy score. This allows the SuperTrend line to widen in chaotic times, reducing false signals, while tightening in orderly times, allowing quicker trend captures.
Parameters Explained:
Entropy Settings: Control the sensitivity of entropy calculations, including the look-back period, number of bins for price distribution, and smoothing length.
Adaptive Settings: Adjust how the indicator adapts to different levels of entropy, including the adaptation period and the filtering weight.
SuperTrend Settings : Customize the ATR period and the dynamic multiplier range to fine-tune the trailing stops for your trading style.
Visual Settings: Choose your preferred colors for bullish and bearish trends, and decide if you want the entry labels displayed directly on the chart.
Use Cases:
Swing Traders can utilize the indicator to capture trend reversals while filtering out the noise during high entropy periods.
Intraday Traders can adapt the settings for shorter time frames to benefit from dynamic adjustments that reduce overtrading and false signals.
Risk Management: The entropy-based adaptive feature provides an edge in risk management by reducing sensitivity during times of increased chaos, thus helping to limit unnecessary trades.
How to Use It:
Look for entry labels ("L" for long, "S" for short) to identify potential opportunities.
Use the color-coded trendlines to determine market bias: greenish hue for bullish trends, reddish hue for bearish trends.
Customize the input settings to align with your preferred market timeframe and risk profile.
Alerts & Notifications:
Built-in alerts notify you of significant trend changes. Simply enable these alerts to receive updates when a new long or short opportunity is detected, helping you stay ahead without needing to watch the screen constantly.
Customization Tips:
Longer Timeframes : Increase the Entropy Period to better capture macro trends in high timeframe charts.
Higher Volatility Markets: Increase the ATR Max Multiplier to ensure stops are set farther away during high entropy.
Lower Volatility Markets: Use a lower ATR Base Multiplier and tighter entropy thresholds to capture rapid price movements.
Final Thoughts:
The Entropy-Based Adaptive SuperTrend indicator merges traditional trend-following logic with an adaptive mechanism driven by market entropy, aiming to address the challenges of whipsaws and false signals common in conventional SuperTrend setups. This indicator offers an intelligent and flexible way to track market trends, suitable for both beginners and experienced trade
iteratorThe "Iterator" library is designed to provide a flexible way to work with sequences of values. This library offers a set of functions to create and manage iterators for various data types, including integers, floats, and more. Whether you need to generate an array of values with specific increments or iterate over elements in reverse order, this library has you covered.
Key Features:
Array Creation: Easily generate arrays of integers or floats with customizable steps, both inclusive and exclusive of the end values.
Flexible Iteration: Includes methods to iterate over arrays of different types, such as booleans, integers, floats, strings, colors, and drawing objects like lines and labels.
Reverse Iteration: Support for reverse iteration, giving you control over the order in which elements are processed.
Automatic Loop Control: One of the key advantages of this library is that when using the .iterate() method, it only loops over the array when there are values present. This means you don’t have to manually check if the array is populated before iterating, simplifying your code and reducing potential errors.
Versatile Use Cases: Ideal for scenarios where you need to loop over an array without worrying about empty arrays or checking conditions manually.
This library is particularly useful in cases where you need to perform operations on each element in an array, ensuring that your loops are efficient and free from unnecessary checks.
Library "iterator"
The "iterator" library provides a versatile and efficient set of functions for creating and managing iterators.
It allows you to generate arrays of integers or floats with customizable steps, both inclusive and exclusive of the end values.
The library also includes methods for iterating over various types, including booleans, integers, floats, strings, colors,
and drawing objects like lines and labels. With support for reverse iteration and flexible customization options.
iterator(stop, start, step)
Creates an array of integers from start to stop with a specified step, excluding the stop value.
Parameters:
stop (int) : The end value of the iterator, exclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop. Will return and empty array if start = stop.
iterator(stop, start, step)
Creates an array of floats from start to stop with a specified step, excluding the stop value.
Parameters:
stop (float) : The end value of the iterator, exclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop. Will return and empty array if start = stop.
iterator_inclusive(stop, start, step)
Creates an array of integers from start to stop with a specified step, including the stop value.
Parameters:
stop (int) : The end value of the iterator, inclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop, including the stop value.
iterator_inclusive(stop, start, step)
Creates an array of floats from start to stop with a specified step, including the stop value.
Parameters:
stop (float) : The end value of the iterator, inclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop, including the stop value.
itr(stop, start, step)
Creates an array of integers from start to stop with a specified step, excluding the stop value.
Parameters:
stop (int) : The end value of the iterator, exclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop.
itr(stop, start, step)
Creates an array of floats from start to stop with a specified step, excluding the stop value.
Parameters:
stop (float) : The end value of the iterator, exclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop.
itr_in(stop, start, step)
Creates an array of integers from start to stop with a specified step, including the stop value.
Parameters:
stop (int) : The end value of the iterator, inclusive.
start (int) : The starting value of the iterator. Default is 0.
step (int) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of integers incremented by the step value from start to stop, including the stop value.
itr_in(stop, start, step)
Creates an array of floats from start to stop with a specified step, including the stop value.
Parameters:
stop (float) : The end value of the iterator, inclusive.
start (float) : The starting value of the iterator. Default is 0.
step (float) : The increment value for each step in the iterator. Default is 1. Must be greater than 0.
Returns: An array of floats incremented by the step value from start to stop, including the stop value.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
method iterate(self, reverse)
Creates an iterator array for the indices of ana array, with an option to reverse the order.
Namespace types: array
Parameters:
self (array) : The array to iterate over.
reverse (bool) : A boolean flag indicating whether to reverse the iterator order. Default is false.
Returns: An array of integers representing the indices of the array. The order can be reversed if specified.
X48 - Strategy | MA Type Cross + TPSL | Future&Spot | V.2Thank You For Open Source Code, This Strategy Ref. By 1.Simple Strategy Like MA Crossover For Long/Short or Spot Trade, 2. CDC Action Zone V.2 for BarPaint
This Strategy Mixing With MA Crossover Strategy and BarPaint By CDC Action Zone and TP/SL by Varbara
### How To Use Strategy : Setting EMA/SMA Crossover EMA/SMA, Any Value If You Want
For Long Position : Cross Up
For Short Position : Cross Down
Can Use With Spot Trade : Cross Up = Buy, Cross Down = Sell
TP/SL When Your OrderSize Change From any % Of Your TP/SL Value
### In Strategy Setting
Intitial Capital = Ex. 200
Order Size = Should Be Money Management Not Use 100% of Capital Ex. 10% of Capital (200$) = Order Size 20$
StopLoss and Take Profit = If You Run Trend TF 4H+ or 1D+ You Can Change TP% = 1,000% for nonlimit and Stop Loss 5 - 20% from your order size
Ex. Stoploss 15% = OrderSize / 100 x %SL = 20$/100 x 15% = 3$ Loss from order size 20$ (if you not set stop loss.)
Base Currency = (Your Currency) # Ex. USD
Commission = (Your Trading Fee) # Ex. Future Fee Can Check At Binance Fee Rate > www.binance.com > Choose Your Fee Type, Ex. USD M Future (Regular User) = 0.02 (Maker), 0.04 (Taker)
Commission Symbol Type = % # (Ref. By Binance Fee Rate)
### Notice ####
Default Setting It's Realistic From Normal Life Ex. Capital 200$ / Ordersize 20$ (10%)/ Commission 0.1% (Buy+Sell) / Slippage = 2 / TP = 1000% (nonlimit) / SL = 15%/OrderSize
Low Risk But High Return, Good Luck
### Bot Auto Trade by X4815162342 ###
if you wanna try my bot auto trade X48-3in1-bot : Contact My Line ID : x4815x
Full Command Alert For This Strategy If You Wanna See It's
'{"ex":"'+markettype+'","side": "'+longcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
'{"ex":"'+markettype+'","side": "'+shortcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
But Easy Than Full Command Just Use Thisssssss !! Strategy Be Manage Auto Long and Short or TPSL Position
You Don't Do Anything Just Use This Message to Alerts Message
{{strategy.order.alert_message}}
### If you don't use bot but just looking for strategy test ####
Just Pass Bot Setting Function It's Nothing Effect For Strategy !!!!!!
Let's Enjoy With Your Strategy BackTest 😁
Remember Beware Max drawdown%. I'm Recommend Lower Than 10% It's Very Good.
Kendall Rank Correlation NET on SMA [Loxx]Kendall Rank Correlation NET on SMA is an SMA that uses Kendall Rank Correlation to form a sort of noise elimination technology to smooth out trend shifts. You'll notice that the slope of the SMA line doesn't always match the color of the SMA line. This is behavior is expected and is the NET that removes noise from the SMA.
What is Kendall Rank Correlation?
Also commonly known as “Kendall’s tau coefficient”. Kendall’s Tau coefficient and Spearman’s rank correlation coefficient assess statistical associations based on the ranks of the data. Kendall rank correlation (non-parametric) is an alternative to Pearson’s correlation (parametric) when the data you’re working with has failed one or more assumptions of the test. This is also the best alternative to Spearman correlation (non-parametric) when your sample size is small and has many tied ranks.
Kendall rank correlation is used to test the similarities in the ordering of data when it is ranked by quantities. Other types of correlation coefficients use the observations as the basis of the correlation, Kendall’s correlation coefficient uses pairs of observations and determines the strength of association based on the patter on concordance and discordance between the pairs.
Concordant: Ordered in the same way (consistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have the same sign.
Discordant: Ordered differently (inconsistency). A pair of observations is considered concordant if (x2 — x1) and (y2 — y1) have opposite signs.
Kendall’s Tau coefficient of correlation is usually smaller values than Spearman’s rho correlation. The calculations are based on concordant and discordant pairs. Insensitive to error. P values are more accurate with smaller sample sizes.
Included:
-Toggle on/off bar coloring
[blackcat] L2 Ehlers ITrendline Trigger Trend-Following SystemLevel: 2
Background
John F. Ehlers introuced the Instantaneous Trendline and the Trigger of the trend-following system in his "Cybernetic Analysis for Stocks and Futures" chapter 3 on 2004.
Function
The process for creating a trendfollowing trading system from the indicators is simple. One unique aspect of the code is that the ITrend is forced to be a finite impulse response (FIR)-smoothed version of price for the first seven bars of the calculation.
This initialization is included to cause the ITrend to converge more rapidly to its correct value from the beginning transient. The strategy enters a long position when the trigger crosses over the Instantaneous Trendline and enters a short position when the trigger crosses under the Instantaneous Trendline. However, an effective trading system is more than following a simple set of indicators.
First, experience has shown that greater profits result from using limit orders rather than market orders or stop orders. Market orders are selfexplanatory. Stop orders mean the market must be going in the direction of the trade before the order is filled. For example, for long-position trades, the stop order must be placed above the current price. Thus, the price must increase from its current level before you get stopped into the long-position trade. This means you necessarily give up some of the profits you would otherwise have gotten if you had entered on a market order at the instant of your signal. You can lose additional profits from stop orders due to slippage.
Key Signal
Trigger ---> trend-following system fast line
ITrend ---> trend-following system slow line
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 22th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
DayFlow VWAP Relay Forex Majors StrategySummary in one paragraph
DayFlow VWAP Relay is a day-trading strategy for major FX pairs on intraday timeframes, demonstrated on EURUSD 15 minutes. It waits for alignment between a daily anchored VWAP regime check, residual percentiles, and lower-timeframe micro flow before suggesting trades. The originality is the fusion of daily VWAP residual percentiles with a live micro-flow score from 1 minute data to switch between fade and breakout behavior inside the same session. Add it to a clean chart and use the markers and alerts.
Scope and intent
• Markets: Major FX pairs such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCHF, USDCAD
• Timeframes: One minute to one hour
• Default demo in this publication: EURUSD on 15 minutes
• Purpose: Reduce false starts by acting only when context, location and micro flow agree
• Limits: This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Core novelty: Residual percentiles to daily anchored VWAP decide “balanced versus expanding day”. A separate 1 minute micro-flow score confirms direction, so the same model fades extremes in balance and rides range breaks in expansion
• Failure modes addressed: Chop fakeouts and unconfirmed breakouts are filtered by the expansion gate and micro-flow threshold
• Testability: Every input is exposed. Bands, background regime color, and markers show why a suggestion appears
• Portable yardstick: Stops and targets are ATR multiples converted to ticks, which transfer across symbols
• Open source status: No reused third-party code that requires attribution
Method overview in plain language
The day is anchored with a VWAP that updates from the daily session start. Price minus VWAP is the residual. Percentiles of that residual measured over a rolling window define location extremes for the current day. A regime score compares residual volatility to price volatility. When expansion is low, the day is treated as balanced and the model fades residual extremes if 1 minute micro flow points back to VWAP. When expansion is high, the model trades breakouts outside the VWAP bands if slope and micro flow agree with the move.
Base measures
• Range basis: True Range smoothed by ATR for stops and targets, length 14
• Return basis: Not required for signals; residuals are absolute price distance to VWAP
Components
• Daily Anchor VWAP Bands. VWAP with standard-deviation bands. Slope sign is used for trend confirmation on breakouts
• Residual Percentiles. Rolling percentiles of close minus VWAP over Signal length. Identify location extremes inside the day
• Expansion Ratio. Standard deviation of residuals divided by standard deviation of price over Signal length. Classifies balanced versus expanding day
• Micro Flow. Net up minus down closes from 1 minute data across a short span, normalized to −1..+1. Confirms direction and avoids fades against pressure
• Session Window optional. Restricts trading to your configured hours to avoid thin periods
• Cooldown optional. Bars to wait after a position closes to prevent immediate re-entry
Fusion rule
Gating rather than weighting. First choose regime by Expansion Ratio versus the Expansion gate. Inside each regime all listed conditions must be true: location test plus micro-flow threshold plus session window plus cooldown. Breakouts also require VWAP slope alignment.
Signal rule
• Long suggestion on balanced day: residual at or below the lower percentile and micro flow positive above the gate while inside session and cooldown is satisfied
• Short suggestion on balanced day: residual at or above the upper percentile and micro flow negative below the gate while inside session and cooldown is satisfied
• Long suggestion on expanding day: close above the upper VWAP band, VWAP slope positive, micro flow positive, session and cooldown satisfied
• Short suggestion on expanding day: close below the lower VWAP band, VWAP slope negative, micro flow negative, session and cooldown satisfied
• Positions flip on opposite suggestions or exit by brackets
What you will see on the chart
• Markers on suggestion bars: L for long, S for short
• Exit occurs on reverse signal or when a bracket order is filled
• Reference lines: daily anchored VWAP with upper and lower bands
• Optional background: teal for balanced day, orange for expanding day
Inputs with guidance
Setup
• Signal length. Residual and regime window. Typical 40 to 100. Higher smooths, lower reacts faster
Micro Flow
• Micro TF. Lower timeframe used for micro flow, default 1 minute
• Micro span bars. Count of lower-TF bars. Typical 5 to 20
• Micro flow gate 0..1. Minimum absolute flow. Raising it demands stronger confirmation and reduces trade count
VWAP Bands
• VWAP stdev multiplier. Band width. Typical 0.8 to 1.6. Wider bands reduce breakout frequency and increase fade distance
• Expansion gate 0..3. Threshold to switch from fades to breakouts. Raising it favors fades, lowering it favors breakouts
Sessions
• Use session filter. Enable to trade only inside your window
• Trade window UTC. Default 07:00 to 17:00
Risk
• ATR length. Stop and target basis. Typical 10 to 21
• Stop ATR x. Initial stop distance in ATR multiples
• Target ATR x. Profit target distance in ATR multiples
• Cooldown bars after close. Wait bars before a new entry
• Side. Both, long only, or short only
View
• Show VWAP and bands
• Color bars by residual regime
Properties visible in this publication
• Initial capital 10000
• Base currency Default
• request.security uses lookahead off everywhere
• Strategy: Percent of equity with value 3. Pyramiding 0. Commission cash per order 0.0001 USD. Slippage 3 ticks. Process orders on close ON. Bar magnifier ON. Recalculate after order is filled OFF. Calc on every tick OFF. Using standard OHLC fills ON.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategies must run on standard candles for signals and orders.
Honest limitations and failure modes
High impact news, session opens, and thin liquidity can invalidate assumptions. Very quiet days can reduce contrast between residuals and price volatility. Session windows use the chart exchange time. If both stop and target are touched within a single bar, TradingView’s standard OHLC price-movement model decides the outcome.
Expect different behavior on illiquid pairs or during holidays. The model is sensitive to session definitions and feed time. Past results never guarantee future outcomes.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System
## WHAT THIS INDICATOR DOES:
This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center.
## INDICATOR VS STRATEGY - KEY DISTINCTION:
**This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it:
- Displays visual signals on your chart when entry conditions are met
- Sends customizable alerts to your device/email when opportunities arise
- Shows TP/SL levels for reference but does not place orders
- Requires you to manually enter and exit positions based on signals
- Works with all TradingView subscription levels (alerts included on all plans)
**For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version.
## ALERT CAPABILITIES:
This indicator includes four distinct alert conditions that can be configured independently:
**1. New Channel Formation Alert**
- Triggers when a fresh BOCS channel is identified
- Message: "New BOCS channel formed - potential scalp setup ready"
- Use this to prepare for upcoming trading opportunities
**2. Long Scalp Entry Alert**
- Fires when price touches the long entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5"
**3. Short Scalp Entry Alert**
- Fires when price touches the short entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75"
**4. Any Entry Signal Alert**
- Combined alert for both long and short entries
- Use this if you want a single alert stream for all opportunities
- Message: "BOCS Scalp Entry: at "
**Setting Up Alerts:**
1. Add indicator to chart and configure settings
2. Click the Alert (⏰) button in TradingView toolbar
3. Select "BOCS Channel Scalper" from condition dropdown
4. Choose desired alert type (Long, Short, Any, or Channel Formation)
5. Set "Once Per Bar Close" to avoid false signals during bar formation
6. Configure delivery method (popup, email, webhook for automation platforms)
7. Save alert - it will fire automatically when conditions are met
**Alert Message Placeholders:**
Alerts use TradingView's dynamic placeholder system:
- {{ticker}} = Symbol name (e.g., NQ1!)
- {{close}} = Current price at signal
- {{plot_1}} = Calculated take profit level
- {{plot_2}} = Calculated stop loss level
These placeholders populate automatically, creating detailed notification messages without manual configuration.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Alerts enabled
- If ATR < threshold: No alerts fire
This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗).
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders.
### Stop Loss Placement:
Stop losses are calculated just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
## INPUT PARAMETERS:
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long alert generation on/off
- **Enable Short Scalps**: Toggle short alert generation on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time indicator status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Long Color**: Customize long signal color (default: darker green for readability)
- **Short Color**: Customize short signal color (default: red)
- **TP/SL Colors**: Customize take profit and stop loss line colors
- **Line Length**: Visual length of TP/SL reference lines (5-200 bars)
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short alerts
- **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status
- **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications
## HOW TO USE:
### For 1-3 Minute Scalping with Alerts (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars to reduce alert spam
- **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications
- **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels
### For 5-15 Minute Day Trading with Alerts:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias
- **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually
### For 30-60 Minute Swing Scalping with Alerts:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts
- **Execution**: Larger timeframes allow more analysis time between alert and entry
### Webhook Integration for Semi-Automation:
- Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation
- Alert message includes all necessary order parameters (direction, entry, TP, SL)
- Webhook receives structured data when signal fires
- External platform can auto-execute based on alert payload
- Still maintains manual oversight vs full strategy automation
## USAGE CONSIDERATIONS:
- **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality
- **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation
- **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation
- **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume
- **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts
- **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe.
## KNOWN LIMITATIONS:
- **Indicator does not execute trades** - alerts are informational only; you must manually place all orders
- **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues
- **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently
- **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders
- **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown
- **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size
- **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security()
- **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops
- **No partial closing capability** - full position management is manual; you determine scaling out
- **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale
## RISK DISCLOSURE:
Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually.
## ACKNOWLEDGMENT & CREDITS:
This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Balancelink : Partition Function 1.0This script computes the partition function values 𝑝(𝑛) using Euler’s Pentagonal Number Theorem and displays them in a horizontally wrapped table directly on the chart. The partition function is a classic function in number theory that counts the number of ways an integer 𝑛 can be expressed as a sum of positive integers, disregarding the order of the summands.
Key Features
Efficient Calculation:
The script computes 𝑝(𝑛) for all orders from 0 up to a user-defined maximum (set by the "End Order" input). The recursive computation leverages Euler’s Pentagonal Number Theorem, ensuring the function is calculated correctly for each order.
Display Range Selection:
Users can select a specific range of orders (for example, from 𝑛 = 100 to 𝑛 = 200 to display.) This means you can focus on a particular segment of the partition function results without cluttering the chart.
Horizontally Wrapped Table:
The partition values are organized into a clean, horizontal table with a customizable number of columns per row (default is 20). When the number of values exceeds the maximum columns, the table automatically wraps onto a new set of rows for better readability.
Medium Text Size:
The table cells use a medium (normal) text size for easy viewing and clarity.
How to Use
Inputs:
Start Order (n): The starting index from which you want to display the partition function (default is 100).
End Order (n): The ending index up to which the partition function values will be displayed (default is 200).
Max Columns Per Row: Determines how many results are shown per row before wrapping to the next (default is 20).
Calculation:
The script calculates all 𝑝(𝑛) values from 0 up to the specified "End Order". It then extracts and displays only the values in the chosen range.
Visualization:
The computed values are shown in a neatly arranged table at the top right of your TradingView chart, making it simple to scroll through and inspect the partition function values.
Use Cases
Educational & Research:
Ideal for educators and students exploring concepts of integer partitions and number theory.
Data Analysis & Pattern Recognition:
Useful for those interested in the behavior and growth of partition numbers as 𝑛 increases.
FVG Visual Trading ToolHow to Use the FVG Tool
1. Identify the FVG Zone
Bullish FVG: Look for green boxes that represent potential support zones. These are areas where price is likely to retrace before continuing upward.
Bearish FVG: Look for red boxes that represent potential resistance zones. These are areas where price is likely to retrace before continuing downward.
2. Set Up Your Trade
Entry: Place a limit order at the retracement zone (inside the FVG box). This ensures you enter the trade when the price retraces into the imbalance.
Stop-Loss (SL): Place your stop-loss just below the FVG box for bullish trades or just above the FVG box for bearish trades. The tool provides a suggested SL level.
Take-Profit (TP): Set your take-profit level at a 2:1 risk-reward ratio (or higher). The tool provides a suggested target level.
3. Let the Trade Run
Once your trade is set up, let it play out. Avoid micromanaging the trade unless market conditions change drastically.
Step-by-Step Example
Bullish FVG Trade
Identify the FVG:
A green box appears, indicating a bullish FVG.
The tool provides the target price (e.g., 0.6371) and the stop-loss level (e.g., 0.6339).
Set Up the Trade:
Place a limit buy order at the retracement zone (inside the green box).
Set your stop-loss just below the FVG box (e.g., 0.6339).
Set your take-profit at a 2:1 risk-reward ratio or the suggested target (e.g., 0.6371).
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Bearish FVG Trade
Identify the FVG:
A red box appears, indicating a bearish FVG.
The tool provides the target price and the stop-loss level.
Set Up the Trade:
Place a limit sell order at the retracement zone (inside the red box).
Set your stop-loss just above the FVG box.
Set your take-profit at a 2:1 risk-reward ratio or the suggested target.
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Key Features of the Tool in Action
Visual Clarity:
The green and red boxes clearly show the FVG zones, making it easy to identify potential trade setups.
Labels provide the target price and stop-loss level for quick decision-making.
Risk-Reward Management:
The tool encourages disciplined trading by providing predefined SL and TP levels.
A 2:1 risk-reward ratio ensures that profitable trades outweigh losses.
Hands-Off Execution:
By placing limit orders, you can let the trade execute automatically without needing to monitor the market constantly.
Best Practices
Trade in the Direction of the Trend:
Use higher timeframes (e.g., 4-hour or daily) to identify the overall trend.
Focus on bullish FVGs in an uptrend and bearish FVGs in a downtrend.
Combine with Confirmation Signals:
Look for additional confirmation, such as candlestick patterns (e.g., engulfing candles) or indicator signals (e.g., RSI, MACD).
Adjust Parameters for Volatility:
For highly volatile markets, consider increasing the stop-loss percentage to avoid being stopped out prematurely.
Avoid Overtrading:
Not every FVG is a good trading opportunity. Be selective and only trade setups that align with your strategy.
Backtest and Optimize:
Use historical data to test the tool and refine your approach before trading live.
Common Mistakes to Avoid
Entering Without Confirmation:
Wait for price to retrace into the FVG zone before entering a trade.
Avoid chasing trades that have already moved away from the zone.
Ignoring Risk Management:
Always use a stop-loss to protect your account.
Stick to a consistent risk-reward ratio.
Trading Against the Trend:
Avoid taking trades that go against the prevailing market trend unless there is strong evidence of a reversal.
Final Thoughts
The FVG Visual Trading Tool is a powerful aid for identifying high-probability trade setups. By following the steps outlined above, you can use the tool to trade with confidence and discipline. Remember, no tool guarantees success, so always combine it with sound trading principles and proper risk management
Bot for Spot Market - Custom GridThis script is designed to create a trading bot for the spot market, specifically for buying and selling bitcoins profitably. Recommended for timeframes above two hours. Here are the main functions and features of the script:
Strategy Setup: The bot is set up with a custom grid strategy, defining parameters like pyramiding (allowed number of simultaneous trades), margin requirements, commission, and initial capital.
Order Requirements: It calculates the order price and amount based on the minimum requirements set by the exchange and rounds them appropriately.
Entry Conditions: The bot makes new entries if the closing price falls a certain percentage below the last entry price. It continues to make entries until the closing price rises a certain percentage above the average entry price.
Targets and Plots:
It calculates and plots the target profit level.
It plots the average entry price and the last entry price.
It plots the next entry price based on the defined conditions.
It plots the maximum number of orders allowed based on equity and the number of open orders.
Timerange: The bot can start trading from a specific date and time defined by the user.
Entries: It places orders if the timerange conditions are met. It also places new orders if the closing price is below the last entry price by a defined percentage.
Profit Calculation: The script calculates open profit or loss for the open positions.
Exit Conditions: It closes all positions if the open profit is positive and the closing price is above the target profit level.
Performance Table: The bot maintains and displays statistics like the number of open and closed trades, net profit, and equity in a table format.
The script is customizable, allowing users to adjust parameters like initial capital, commission, order values, and profit targets to fit their specific trading needs and exchange requirements.
Equilibrium Candles + Pattern [Honestcowboy]The Equilibrium Candles is a very simple trend continuation or reversal strategy depending on your settings.
How an Equilibrium Candle is created:
We calculate the equilibrium by measuring the mid point between highest and lowest point over X amount of bars back.
This now is the opening price for each bar and will be considered a green bar if price closes above equilibrium.
Bars get shaded by checking if regular candle close is higher than open etc. So you still see what the normal candles are doing.
Why are they useful?
The equilibrium is calculated the same as Baseline in Ichimoku Cloud. Which provides a point where price is very likely to retrace to. This script visualises the distance between close and equilibrium using candles. To provide a clear visual of how price relates to this equilibrium point.
This also makes it more straightforward to develop strategies based on this simple concept and makes the trader purely focus on this relationship and not think of any Ichimoku Cloud theories.
Script uses a very simple pattern to enter trades:
It will count how many candles have been one directional (above or below equilibrium)
Based on user input after X candles (7 by default) script shows we are in a trend (bg colors)
On the first pullback (candle closes on other side of equilibrium) it will look to enter a trade.
Places a stop order at the high of the candle if bullish trend or reverse if bearish trend.
If based on user input after X opposite candles (2 by default) order is not filled will cancel it and look for a new trend.
Use Reverse Logic:
There is a use reverse logic in the settings which on default is turned on. It will turn long orders into short orders making the stop orders become limit orders. It will use the normal long SL as target for the short. And TP as stop for the short. This to provide a means to reverse equity curve in case your pair is mean reverting by nature instead of trending.
ATR Calculation:
Averaged ATR, which is using ta.percentile_nearest_rank of 60% of a normal ATR (14 period) over the last 200 bars. This in simple words finds a value slightly above the mean ATR value over that period.
Big Candle Exit Logic:
Using Averaged ATR the script will check if a candle closes X times that ATR from the equilibrium point. This is then considered an overextension and all trades are closed.
This is also based on user input.
Simple trade management logic:
Checks if the user has selected to use TP and SL, or/and big candle exit.
Places a TP and SL based on averaged ATR at a multiplier based on user Input.
Closes trade if there is a Big Candle Exit or an opposite direction signal from indicator.
Script can be fully automated to MT5
There are risk settings in % and symbol settings provided at the bottom of the indicator. The script will send alert to MT5 broker trying to mimic the execution that happens on tradingview. There are always delays when using a bridge to MT5 broker and there could be errors so be mindful of that. This script sends alerts in format so they can be read by tradingview.to which is a bridge between the platforms.
Use the all alert function calls feature when setting up alerts and make sure you provide the right webhook if you want to use this approach.
There is also a simple buy and sell alert feature if you don't want to fully automate but still get alerts. These are available in the dropdown when creating an alert.
Almost every setting in this indicator has a tooltip added to it. So if any setting is not clear hover over the (?) icon on the right of the setting.
The backtest uses a 4% exposure per trade and a 10 point slippage. I did not include a commission cause I'm not personaly aware what the commissions are on most forex brokers. I'm only aware of minimal slippage to use in a backtest. Trading conditions vary per broker you use so always pay close attention to trading costs on your own broker. Use a full automation at your own risk and discretion and do proper backtesting.
ICT Indicator with Paper TradingThe strategy implemented in the provided Pine Script is based on **ICT (Inner Circle Trader)** concepts, particularly focusing on **order blocks** to identify key levels for potential reversals or continuations in the market. Below is a detailed description of the strategy:
### 1. **Order Block Concept**
- **Order blocks** are price levels where large institutional orders accumulate, often leading to a reversal or continuation of price movement.
- In this strategy, **order blocks** are identified when:
- The high of the current bar crosses above the high of the previous bar (for bullish order blocks).
- The low of the current bar crosses below the low of the previous bar (for bearish order blocks).
### 2. **Buy and Sell Signal Generation**
The core of the strategy revolves around identifying the **breakout** of order blocks, which is interpreted as a signal to either enter or exit trades:
- **Buy Signal**:
- Generated when the closing price crosses **above** the last identified bullish order block (i.e., the highest point during the last upward crossover of highs).
- This signals a potential upward trend, and the strategy enters a long position.
- **Sell Signal**:
- Generated when the closing price crosses **below** the last identified bearish order block (i.e., the lowest point during the last downward crossover of lows).
- This signals a potential downward trend, and the strategy exits any open long positions.
### 3. **Strategy Execution**
The strategy is executed using the `strategy.entry()` and `strategy.close()` functions:
- **Enter Long Positions**: When a buy signal is generated, the strategy opens a long position (buying).
- **Exit Positions**: When a sell signal is generated, the strategy closes the long position.
### 4. **Visual Indicators on the Chart**
To make the strategy easier to follow visually, buy and sell signals are marked directly on the chart:
- **Buy signals** are indicated with a green upward-facing triangle above the bar where the signal occurred.
- **Sell signals** are indicated with a red downward-facing triangle below the bar where the signal occurred.
### 5. **Key Elements of the Strategy**
- **Trend Continuation and Reversals**: This strategy is attempting to capture trends based on the breakout of important price levels (order blocks). When the price breaks above or below a significant order block, it is expected that the market will continue in that direction.
- **Order Block Strength**: Order blocks are considered strong areas where price action could reverse or accelerate, based on how institutional investors place large orders.
### 6. **Paper Trading**
This script uses **paper trading** to simulate trades without actual money being involved. This allows users to backtest the strategy, seeing how it would have performed in historical market conditions.
### 7. **Basic Strategy Flow**
1. **Order Block Identification**: The script constantly monitors price movements to detect bullish and bearish order blocks.
2. **Buy Signal**: If the closing price crosses above the last order block high, the strategy interprets it as a sign of bullish momentum and enters a long position.
3. **Sell Signal**: If the closing price crosses below the last order block low, it signals a bearish momentum, and the strategy closes the long position.
4. **Visual Representation**: Buy and sell signals are displayed on the chart for easy identification.
### **Advantages of the Strategy:**
- **Simple and Clear Rules**: The strategy is based on clearly defined rules for identifying order blocks and trade signals.
- **Effective for Trend Following**: By focusing on breakouts of order blocks, this strategy attempts to capture strong trends in the market.
- **Visual Aids**: The plot of buy/sell signals helps traders to quickly see where trades would have been placed.
### **Limitations:**
- **No Shorting**: This strategy only enters long positions (buying). It does not account for shorting opportunities.
- **No Risk Management**: There are no built-in stop losses, trailing stops, or profit targets, which could expose the strategy to large losses during adverse market conditions.
- **Whipsaws in Range Markets**: The strategy could produce false signals in sideways or choppy markets, where breakouts are short-lived and prices quickly reverse.
### **Overall Strategy Objective:**
The goal of the strategy is to enter into long positions when the price breaks above a significant order block, and exit when it breaks below. The strategy is designed for trend-following, with the assumption that price will continue in the direction of the breakout.
Let me know if you'd like to enhance or modify this strategy further!
DrawingLibrary "Drawing"
User Defined types and methods for basic drawing structure. Consolidated from the earlier libraries - DrawingTypes and DrawingMethods
method get_price(this, bar)
get line price based on bar
Namespace types: Line
Parameters:
this (Line) : (series Line) Line object.
bar (int) : (series/int) bar at which line price need to be calculated
Returns: line price at given bar.
method init(this)
Namespace types: PolyLine
Parameters:
this (PolyLine)
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Point object to string representation
Namespace types: chart.point
Parameters:
this (chart.point) : DrawingTypes/Point object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Point
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LineProperties object to string representation
Namespace types: LineProperties
Parameters:
this (LineProperties) : DrawingTypes/LineProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LineProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Line object to string representation
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Line
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LabelProperties object to string representation
Namespace types: LabelProperties
Parameters:
this (LabelProperties) : DrawingTypes/LabelProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LabelProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Label object to string representation
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Label
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Linefill object to string representation
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Linefill
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxProperties object to string representation
Namespace types: BoxProperties
Parameters:
this (BoxProperties) : DrawingTypes/BoxProperties object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxProperties
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxText object to string representation
Namespace types: BoxText
Parameters:
this (BoxText) : DrawingTypes/BoxText object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxText
method tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Box object to string representation
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
sortKeys (bool) : If set to true, string output is sorted by keys.
sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Box
method delete(this)
Deletes line from DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
Returns: Line object deleted
method delete(this)
Deletes label from DrawingTypes/Label object
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
Returns: Label object deleted
method delete(this)
Deletes Linefill from DrawingTypes/Linefill object
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill object
Returns: Linefill object deleted
method delete(this)
Deletes box from DrawingTypes/Box object
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
Returns: DrawingTypes/Box object deleted
method delete(this)
Deletes lines from array of DrawingTypes/Line objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
method delete(this)
Deletes labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method delete(this)
Deletes linefill from array of DrawingTypes/Linefill objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill objects
method delete(this)
Deletes boxes from array of DrawingTypes/Box objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Box objects
Returns: Array of DrawingTypes/Box objects
method clear(this)
clear items from array of DrawingTypes/Line while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Label while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Linefill while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method clear(this)
clear items from array of DrawingTypes/Box while deleting underlying objects
Namespace types: array
Parameters:
this (array) : array
Returns: void
method draw(this)
Creates line from DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : DrawingTypes/Line object
Returns: line created from DrawingTypes/Line object
method draw(this)
Creates lines from array of DrawingTypes/Line objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
method draw(this)
Creates label from DrawingTypes/Label object
Namespace types: Label
Parameters:
this (Label) : DrawingTypes/Label object
Returns: label created from DrawingTypes/Label object
method draw(this)
Creates labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method draw(this)
Creates linefill object from DrawingTypes/Linefill
Namespace types: Linefill
Parameters:
this (Linefill) : DrawingTypes/Linefill objects
Returns: linefill object created
method draw(this)
Creates linefill objects from array of DrawingTypes/Linefill objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill used for creating linefills
method draw(this)
Creates box from DrawingTypes/Box object
Namespace types: Box
Parameters:
this (Box) : DrawingTypes/Box object
Returns: box created from DrawingTypes/Box object
method draw(this)
Creates labels from array of DrawingTypes/Label objects
Namespace types: array
Parameters:
this (array) : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
method createLabel(this, lblText, tooltip, properties)
Creates DrawingTypes/Label object from DrawingTypes/Point
Namespace types: chart.point
Parameters:
this (chart.point) : DrawingTypes/Point object
lblText (string) : Label text
tooltip (string) : Tooltip text. Default is na
properties (LabelProperties) : DrawingTypes/LabelProperties object. Default is na - meaning default values are used.
Returns: DrawingTypes/Label object
method createLine(this, other, properties)
Creates DrawingTypes/Line object from one DrawingTypes/Point to other
Namespace types: chart.point
Parameters:
this (chart.point) : First DrawingTypes/Point object
other (chart.point) : Second DrawingTypes/Point object
properties (LineProperties) : DrawingTypes/LineProperties object. Default set to na - meaning default values are used.
Returns: DrawingTypes/Line object
method createLinefill(this, other, fillColor, transparency)
Creates DrawingTypes/Linefill object from DrawingTypes/Line object to other DrawingTypes/Line object
Namespace types: Line
Parameters:
this (Line) : First DrawingTypes/Line object
other (Line) : Other DrawingTypes/Line object
fillColor (color) : fill color of linefill. Default is color.blue
transparency (int) : fill transparency for linefill. Default is 80
Returns: Array of DrawingTypes/Linefill object
method createBox(this, other, properties, textProperties)
Creates DrawingTypes/Box object from one DrawingTypes/Point to other
Namespace types: chart.point
Parameters:
this (chart.point) : First DrawingTypes/Point object
other (chart.point) : Second DrawingTypes/Point object
properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
method createBox(this, properties, textProperties)
Creates DrawingTypes/Box object from DrawingTypes/Line as diagonal line
Namespace types: Line
Parameters:
this (Line) : Diagonal DrawingTypes/PoLineint object
properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
LineProperties
Properties of line object
Fields:
xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index
extend (series string) : Property which sets line to extend towards either right or left or both. Valid values are extend.right, extend.left, extend.both, extend.none. Default is extend.none
color (series color) : Line color
style (series string) : Line style, valid values are line.style_solid, line.style_dashed, line.style_dotted, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both. Default is line.style_solid
width (series int) : Line width. Default is 1
Line
Line object created from points
Fields:
start (chart.point) : Starting point of the line
end (chart.point) : Ending point of the line
properties (LineProperties) : LineProperties object which defines the style of line
object (series line) : Derived line object
LabelProperties
Properties of label object
Fields:
xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index
yloc (series string) : Y reference - can be yloc.price, yloc.abovebar, yloc.belowbar. Default is yloc.price
color (series color) : Label fill color
style (series string) : Label style as defined in Tradingview Documentation. Default is label.style_none
textcolor (series color) : text color. Default is color.black
size (series string) : Label text size. Default is size.normal. Other values are size.auto, size.tiny, size.small, size.normal, size.large, size.huge
textalign (series string) : Label text alignment. Default if text.align_center. Other allowed values - text.align_right, text.align_left, text.align_top, text.align_bottom
text_font_family (series string) : The font family of the text. Default value is font.family_default. Other available option is font.family_monospace
Label
Label object
Fields:
point (chart.point) : Point where label is drawn
lblText (series string) : label text
tooltip (series string) : Tooltip text. Default is na
properties (LabelProperties) : LabelProperties object
object (series label) : Pine label object
Linefill
Linefill object
Fields:
line1 (Line) : First line to create linefill
line2 (Line) : Second line to create linefill
fillColor (series color) : Fill color
transparency (series int) : Fill transparency range from 0 to 100
object (series linefill) : linefill object created from wrapper
BoxProperties
BoxProperties object
Fields:
border_color (series color) : Box border color. Default is color.blue
bgcolor (series color) : box background color
border_width (series int) : Box border width. Default is 1
border_style (series string) : Box border style. Default is line.style_solid
extend (series string) : Extend property of box. default is extend.none
xloc (series string) : defines if drawing needs to be done based on bar index or time. default is xloc.bar_index
BoxText
Box Text properties.
Fields:
boxText (series string) : Text to be printed on the box
text_size (series string) : Text size. Default is size.auto
text_color (series color) : Box text color. Default is color.yellow.
text_halign (series string) : horizontal align style - default is text.align_center
text_valign (series string) : vertical align style - default is text.align_center
text_wrap (series string) : text wrap style - default is text.wrap_auto
text_font_family (series string) : Text font. Default is
Box
Box object
Fields:
p1 (chart.point) : Diagonal point one
p2 (chart.point) : Diagonal point two
properties (BoxProperties) : Box properties
textProperties (BoxText) : Box text properties
object (series box) : Box object created
PolyLineProperties
Fields:
curved (series bool)
closed (series bool)
xloc (series string)
lineColor (series color)
fillColor (series color)
lineStyle (series string)
lineWidth (series int)
PolyLine
Fields:
points (array)
properties (PolyLineProperties)
object (series polyline)
[INVX] Trailing StopDescription:
The Adjustable Trailing Stop Indicator is a practical tool designed to enhance your trading strategy by allowing for automatic modifications of stop-loss orders according to your specified parameters. This indicator provides a dynamic alternative to the traditional static stop-loss orders, assisting in managing your potential profits and curbing possible losses.
Features and Functionality:
The Trailing Stop Indicator provides three main inputs for customization:
"Trailing Stop Start Date" : This input enables you to set the start date for the trailing stop. From this date forward, the indicator begins tracking price changes and adjusts the stop-loss order in response.
"Trigger Delta (%)" : This represents the percentage for the trailing stop. It denotes the set percentage at which the stop order adjusts.
"Order" : This input determines whether the trailing stop applies to a Buy or Sell order. Depending on the selection, the indicator adjusts the stop price as the price escalates (for Sell order) or declines (for Buy order).
How Does the Trailing Stop Indicator Work?
The Trailing Stop Indicator functions by dynamically adjusting the stop price in line with market fluctuations. If the market price rises (for Sell order), the stop price automatically ascends, securing potential profits. In a declining market (for Buy order), the stop price descends according to the market.
This indicator eliminates the need for constant manual adjustments, reducing the impact of emotional trading and helping traders maintain their risk management strategy. By using this tool, traders can implement a more disciplined and systematic approach to trading.
Pineconnector Strategy Template (Connect Any Indicator)Hello traders,
If you're tired of manual trading and looking for a solid strategy template to pair with your indicators, look no further.
This Pine Script v5 strategy template is engineered for maximum customization and risk management.
Best part?
It’s optimized for Pineconnector, allowing seamless integration with MetaTrader 4 and 5.
This powerful tool gives a lot of power to those who don't know how to code in Pinescript and are looking to automate their indicators' signals on Metatrader 4/5.
IMPORTANT NOTES
Pineconnector is a trading bot software that forwards TradingView alerts to your Metatrader 4/5 for automating trading.
Many traders don't know how to dynamically create Pineconnector-compatible alerts using the data from their TradingView scripts.
Traders using trading bots want their alerts to reflect the stop-loss/take-profit/trailing-stop/stop-loss to break options from your script and then create the orders accordingly.
This script showcases how to create Pineconnector alerts dynamically.
Pineconnector doesn't support alerts with multiple Take Profits.
As a workaround, for 2 TPs, I had to open two trades.
It's not optimal, as we end up paying more spreads for that extra trade - however, depending on your trading strategy, it may not be a big deal.
TRADINGVIEW ALERTS
1) You'll have to create one alert per asset X timeframe = 1 chart.
Example: 1 alert for EUR/USD on the 5 minutes chart, 1 alert for EUR/USD on the 15-minute chart (assuming you want your bot to trade the EUR/USD on the 5 and 15-minute timeframes)
2) Select the Order fills and alert() function calls condition
3) For each alert, the alert message is pre-configured with the text below
{{strategy.order.alert_message}}
Please leave it as it is.
It's a TradingView native variable that will fetch the alert text messages built by the script.
4) Don't forget to set the Pineconnector webhook URL in the Notifications tab of the TradingView alerts UI.
You’ll find the URL on the Pineconnector documentation website.
EA CONFIGURATION
1) The Pyramiding in the EA on Metatrader must be set to 2 if you want to trade with 2 TPs => as it's opening 2 trades.
If you only want 1 TP, set the EA Pyramiding to 1.
Regarding the other EA settings, please refer to the Pineconnector documentation on their website.
2) In the EA, you can set a risk (= position size type) in %/lots/USD, as in the TradingView backtest settings.
KEY FEATURES
I) Modular Indicator Connection
* plug in your existing indicator into the template.
* Only two lines of code are needed for full compatibility.
Step 1: Create your connector
Adapt your indicator with only 2 lines of code and then connect it to this strategy template.
To do so:
1) Find in your indicator where the conditions print the long/buy and short/sell signals.
2) Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator, whether it's a MACD , ZigZag , Pivots , higher-highs, lower-lows, or whatever indicator with clear buy and sell conditions.
//@version=5
indicator("Supertrend", overlay = true, timeframe = "", timeframe_gaps = true)
atrPeriod = input.int(10, "ATR Length", minval = 1)
factor = input.float(3.0, "Factor", minval = 0.01, step = 0.01)
= ta.supertrend(factor, atrPeriod)
supertrend := barstate.isfirst ? na : supertrend
bodyMiddle = plot(barstate.isfirst ? na : (open + close) / 2, display = display.none)
upTrend = plot(direction < 0 ? supertrend : na, "Up Trend", color = color.green, style = plot.style_linebr)
downTrend = plot(direction < 0 ? na : supertrend, "Down Trend", color = color.red, style = plot.style_linebr)
fill(bodyMiddle, upTrend, color.new(color.green, 90), fillgaps = false)
fill(bodyMiddle, downTrend, color.new(color.red, 90), fillgaps = false)
buy = ta.crossunder(direction, 0)
sell = ta.crossunder(direction, 0)
//////// CONNECTOR SECTION ////////
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title = "Signal", display = display.data_window)
//////// CONNECTOR SECTION ////////
Important Notes
🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal and -1 for the bearish signal
Now, you can connect your indicator to the Strategy Template using the method below or that one.
Step 2: Connect the connector
1) Add your updated indicator to a TradingView chart
2) Add the Strategy Template as well to the SAME chart
3) Open the Strategy Template settings, and in the Data Source field, select your 🔌Connector🔌 (which comes from your indicator)
Note it doesn’t have to be named 🔌Connector🔌 - you can name it as you want - however, I recommend an explicit name you can easily remember.
From then, you should start seeing the signals and plenty of other stuff on your chart.
🔥 Note that whenever you update your indicator values, the strategy statistics and visuals on your chart will update in real-time
II) Customizable Risk Management
- Choose between percentage or USD modes for maximum drawdown.
- Set max consecutive losing days and max losing streak length.
- I used the code from my friend @JosKodify for the maximum losing streak. :)
Will halt the EA and backtest orders fill whenever either of the safeguards above are “broken”
III) Intraday Risk Management
- Limit the maximum intraday losses both in percentage or USD.
- Option to set a maximum number of intraday trades.
- If your EA gets halted on an intraday chart, auto-restart it the next day.
IV) Spread and Account Filters
- Trade only if the spread is below a certain pip value.
- Set requirements based on account balance or equity.
V) Order Types and Position Sizing
- Choose between market, limit, or stop orders.
- Set your position size directly in the template.
Please use the position size from the “Inputs” and not the “Properties” tab.
Reason : The template sends the order on the same candle as the entry signals - at those entry signals candles, the position size isn’t computed yet, and the template can’t then send it to Pineconnector.
However, you can use the position size type (USD, contracts, %) from the “Properties” tab for backtesting.
In the EA, you can define the position size type for your orders in USD or lots or %.
VI) Advanced Take-Profit and Stop-Loss Options
- Choose to set your SL/TP in either pips or percentages.
- Option for multiple take-profit levels and trailing stop losses.
- Move your stop loss to break even +/- offset in pips for “risk-free” trades.
VII) Logger
The Pineconnector commands are logged in the TradingView logger.
You'll find more information about it in this TradingView blog post .
WHY YOU MIGHT NEED THIS TEMPLATE
1) Transform your indicator into a Pineconnector trading bot more easily than before
Connect your indicator to the template
Create your alerts
Set your EA settings
2) Save Time
Auto-generated alert messages for Pineconnector.
I tested them all, and I checked with the support team what could/can’t be done
3) Be in Control
Manage your trading risks with advanced features.
4) Customizable
Fits various trading styles and asset classes.
REQUIREMENTS
* Make sure you have your Pineconnector license ID.
* Create your alerts with the Pineconnector webhook URL
* If there is any issue with the template, ask me in the comments section - I’ll answer quickly.
BACKTEST RESULTS FROM THIS POST
1) I connected this strategy template to a dummy Supertrend script.
I could have selected any other indicator or concept for this script post.
I wanted to share an example of how you can quickly upgrade your strategy, making it compatible with Pineconnector.
2) The backtest results aren't relevant for this educational script publication.
I used realistic backtesting data but didn't look too much into optimizing the results, as this isn't the point of why I'm publishing this script.
This strategy is a template to be connected to any indicator - the sky is the limit. :)
3) This template is made to take 1 trade per direction at any given time.
Pyramiding is set to 1 on TradingView.
The strategy default settings are:
* Initial Capital: 100000 USD
* Position Size: 1 contract
* Commission Percent: 0.075%
* Slippage: 1 tick
* No margin/leverage used
WHAT’S COMING NEXT FOR YOU GUYS?
I’ll make the same template for ProfitView, then for AutoView, and then for Alertatron.
All of those are free and open-source.
I have no affiliations with any of those companies - I'm publishing those templates as they will be useful to many of you.
Dave
DrawingMethodsLibrary "DrawingMethods"
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Point object to string representation
Parameters:
this : DrawingTypes/Point object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Point
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LineProperties object to string representation
Parameters:
this : DrawingTypes/LineProperties object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LineProperties
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Line object to string representation
Parameters:
this : DrawingTypes/Line object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Line
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/LabelProperties object to string representation
Parameters:
this : DrawingTypes/LabelProperties object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/LabelProperties
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Label object to string representation
Parameters:
this : DrawingTypes/Label object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Label
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Linefill object to string representation
Parameters:
this : DrawingTypes/Linefill object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Linefill
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxProperties object to string representation
Parameters:
this : DrawingTypes/BoxProperties object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxProperties
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/BoxText object to string representation
Parameters:
this : DrawingTypes/BoxText object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/BoxText
tostring(this, sortKeys, sortOrder, includeKeys)
Converts DrawingTypes/Box object to string representation
Parameters:
this : DrawingTypes/Box object
sortKeys : If set to true, string output is sorted by keys.
sortOrder : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys
includeKeys : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered
Returns: string representation of DrawingTypes/Box
delete(this)
Deletes line from DrawingTypes/Line object
Parameters:
this : DrawingTypes/Line object
Returns: Line object deleted
delete(this)
Deletes label from DrawingTypes/Label object
Parameters:
this : DrawingTypes/Label object
Returns: Label object deleted
delete(this)
Deletes Linefill from DrawingTypes/Linefill object
Parameters:
this : DrawingTypes/Linefill object
Returns: Linefill object deleted
delete(this)
Deletes box from DrawingTypes/Box object
Parameters:
this : DrawingTypes/Box object
Returns: DrawingTypes/Box object deleted
delete(this)
Deletes lines from array of DrawingTypes/Line objects
Parameters:
this : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
delete(this)
Deletes labels from array of DrawingTypes/Label objects
Parameters:
this : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
delete(this)
Deletes linefill from array of DrawingTypes/Linefill objects
Parameters:
this : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill objects
delete(this)
Deletes boxes from array of DrawingTypes/Box objects
Parameters:
this : Array of DrawingTypes/Box objects
Returns: Array of DrawingTypes/Box objects
clear(this)
clear items from array of DrawingTypes/Line while deleting underlying objects
Parameters:
this : array
Returns: void
clear(this)
clear items from array of DrawingTypes/Label while deleting underlying objects
Parameters:
this : array
Returns: void
clear(this)
clear items from array of DrawingTypes/Linefill while deleting underlying objects
Parameters:
this : array
Returns: void
clear(this)
clear items from array of DrawingTypes/Box while deleting underlying objects
Parameters:
this : array
Returns: void
draw(this)
Creates line from DrawingTypes/Line object
Parameters:
this : DrawingTypes/Line object
Returns: line created from DrawingTypes/Line object
draw(this)
Creates lines from array of DrawingTypes/Line objects
Parameters:
this : Array of DrawingTypes/Line objects
Returns: Array of DrawingTypes/Line objects
draw(this)
Creates label from DrawingTypes/Label object
Parameters:
this : DrawingTypes/Label object
Returns: label created from DrawingTypes/Label object
draw(this)
Creates labels from array of DrawingTypes/Label objects
Parameters:
this : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
draw(this)
Creates linefill object from DrawingTypes/Linefill
Parameters:
this : DrawingTypes/Linefill objects
Returns: linefill object created
draw(this)
Creates linefill objects from array of DrawingTypes/Linefill objects
Parameters:
this : Array of DrawingTypes/Linefill objects
Returns: Array of DrawingTypes/Linefill used for creating linefills
draw(this)
Creates box from DrawingTypes/Box object
Parameters:
this : DrawingTypes/Box object
Returns: box created from DrawingTypes/Box object
draw(this)
Creates labels from array of DrawingTypes/Label objects
Parameters:
this : Array of DrawingTypes/Label objects
Returns: Array of DrawingTypes/Label objects
createLabel(this, lblText, tooltip, properties)
Creates DrawingTypes/Label object from DrawingTypes/Point
Parameters:
this : DrawingTypes/Point object
lblText : Label text
tooltip : Tooltip text. Default is na
properties : DrawingTypes/LabelProperties object. Default is na - meaning default values are used.
Returns: DrawingTypes/Label object
createLine(this, other, properties)
Creates DrawingTypes/Line object from one DrawingTypes/Point to other
Parameters:
this : First DrawingTypes/Point object
other : Second DrawingTypes/Point object
properties : DrawingTypes/LineProperties object. Default set to na - meaning default values are used.
Returns: DrawingTypes/Line object
createLinefill(this, other, fillColor, transparency)
Creates DrawingTypes/Linefill object from DrawingTypes/Line object to other DrawingTypes/Line object
Parameters:
this : First DrawingTypes/Line object
other : Other DrawingTypes/Line object
fillColor : fill color of linefill. Default is color.blue
transparency : fill transparency for linefill. Default is 80
Returns: Array of DrawingTypes/Linefill object
createBox(this, other, properties, textProperties)
Creates DrawingTypes/Box object from one DrawingTypes/Point to other
Parameters:
this : First DrawingTypes/Point object
other : Second DrawingTypes/Point object
properties : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
createBox(this, properties, textProperties)
Creates DrawingTypes/Box object from DrawingTypes/Line as diagonal line
Parameters:
this : Diagonal DrawingTypes/PoLineint object
properties : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.
textProperties : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn
Returns: DrawingTypes/Box object
RouterOrdersIronLibrary "RouterOrdersIron"
Library for routing orders to the Binance exchange.
MsgDoLongMKT(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortMKT(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoLongLR(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortLR(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongMKT(id, symbol, balance)
Buy a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortMKT(id, symbol, balance)
Sell a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongLR(id, symbol, balance)
Buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortLR(id, symbol, balance)
Sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
GetQty(price, balance)
Get Qty for strategy on balance
Parameters:
price : Order price
balance : The amount for which to carry out the transaction.
Returns: Qty for strategy order TV
options_expiration_and_strike_price_calculatorLibrary "options_expiration_and_strike_price_calculator"
TODO: add library description here
fun()
this is a library to help calculate options strike price and expiration that you can add to a script i use it mainly for symbol calulation to place orders to buy options on TD ameritrade so it will be set up to order options on TD ameritrade using json order placer and webhook it fills in the area in the json under symbol i suggest manually adding the year it should look like this is an example of an order to buy 10 call options using json through td ameritrade api
"complexOrderStrategyType": "NONE",
"orderType": "LIMIT",
"session": "NORMAL",
"price": "6.45",
"duration": "DAY",
"orderStrategyType": "SINGLE",
"orderLegCollection":
}
Breakout Reversal Entry on WMA - NG1! Overnight ver 1This script is for learning purposes only
This strategy will plot arrows when price breaks so far above/below WMA. The strategy will enter when the price breaks away from WMA. All entries are reversals. Users can set WMA length and source; also the distance of the price away from WMA to enter. Adjustable bracket orders are placed for exit, with trailing stop or market stop choice. Last, users can set the time of day they want to enter a trade.
My Preference: I am testing this strategy on NG1! over night on 1 minute candle. with .003 on price drop/climb, I get entries almost every night. Also 10 tick stop and 5 tick profit seems backward to most, but with a high win/loss ratio, it performs quite well. Trailing stops generally help out as well.
INPUTS:
Length - The is the WMA length
Source - WMA source (High, Low, Open, Close...)
When Price Drops - This is the distance in ticks when the price drops away from WMA, an arrow is plotted, and reversal entry order is placed
When Price Climbs - Same as price drop, just in the opposite direction
Trailing Stop check box - Check if you want to place a trailing stop so many tick away from entry. Unchecked is Market (hard) stop so many ticks from entry.
Stop - Number of ticks away from entry a the stop or trailing stop is set (for NG 1 tick = $0.001)
Limit Out - Number of ticks away from entry a limit order is placed to take profits
Limit Time of day check box - check to use the time of day to limit what time of day order entry will occur.
Start/Stop Trades (Est Time) - First box is when the strategy will be allowed to start buying and stop is when the strategy will stop being allowed to buy. Sell orders continue until a stop or limit triggers an exit. These times are Eastern time zone
PROPERTIES:
Pyramiding - This feature will allow multiple entries to occur. If set to 1, the strategy should only trade 1 contract at a time. If set to 2, the strategy will enter a second order if entry requirements are met. This allows you to be holding 2 contracts. Basically on a good day, it will multiply your earnings, on a bad day, you'll just lose more. For testing, I keep this on 1.
TIPS:
- If you want to go long only, set "When Price Climbs" to an impossible number, like 10,000. It's not possible for NG to move $10 is a matter of minutes so it will not enter the market with a short order. Also keep in mind you can set different requirements for going long vs going short. If you think there is more pull on the market in a particular direction.
CVD Candles + Divergence (Pane) [NIRALA]This indicator provides a powerful way to analyze market dynamics by visualizing Cumulative Volume Delta (CVD) as candlesticks and automatically detecting divergences between price and order flow. It is designed to help traders spot potential trend exhaustion and reversals that may not be apparent from price action alone.
Key Concepts
Cumulative Volume Delta (CVD): CVD is a running total of the difference between buying and selling volume from market orders. A rising CVD indicates aggressive buying, while a falling CVD indicates aggressive selling. Unlike price, which can be influenced by passive limit orders, CVD shows the raw intent of aggressive market participants.
Divergence: A divergence occurs when price and CVD move in opposite directions. This signals a potential conflict between price action and the underlying order flow, often preceding a reversal.
Bearish Divergence: Price makes a new high, but CVD fails to make a new high (or makes a lower high). This suggests buying aggression is weakening despite the higher price, and a reversal to the downside may be imminent.
Bullish Divergence: Price makes a new low, but CVD fails to make a new low (or makes a higher low). This suggests selling pressure is drying up, and a reversal to the upside may be coming.
Features
CVD as Candlesticks: Plots CVD in a familiar OHLC candlestick format in a separate pane, providing a more intuitive view of order flow momentum and volatility compared to a simple line.
Automatic Divergence Detection: The script automatically identifies classic bullish and bearish divergences between price pivots and CVD pivots, drawing lines on both the main price chart and the indicator pane to clearly highlight them.
Multi-Timeframe Analysis: Calculates CVD from a user-defined lower timeframe, offering a more granular and precise view of the order flow that builds up a single candle on your chart.
Customizable Pivot Lookbacks: Allows you to adjust the sensitivity of the pivot detection for finding both short-term and long-term divergences.
Alerts: Includes built-in alerts that can notify you when a new bullish or bearish divergence is confirmed.
How to Use
Look for High-Probability Setups: This indicator is most powerful when its signals appear at key areas of support or resistance. A divergence at a major price level is a much stronger signal than one in the middle of a range.
Confirm with Price Action: Do not trade on a divergence signal alone. Wait for a confirmation candle (e.g., a bearish engulfing candle after a bearish divergence, or a bullish hammer after a bullish divergence) before considering an entry.
Combine with Your Strategy: Use this indicator as a confirmation tool to enhance your existing trading strategy. For example, if your primary strategy gives a sell signal and this indicator simultaneously prints a bearish divergence, it significantly increases the probability of the trade.
This tool is designed for discretionary traders looking to add a layer of order flow analysis to their decision-making process.
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility
The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics.
Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved.
The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment.
The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score.
For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged.
Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk.
Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods.
To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample.
Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value.
Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them.
Quantum Trading Matrix — multi-factor intraday dashboard (educational use only).
Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence.
Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments.
Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital.
Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses.
________________________________________
Risk & Misuse Disclaimer
This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool.
________________________________________
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
