AI-Swing/Long Batch 41. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
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AI-Swing/Long Batch 51. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-NIFTY50_21. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-NIFTY50_11. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-INDEX1. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-Swing/Long Batch 11. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
smcCore Positioning
A comprehensive trading tool integrating trend tracking, price action, and Smart Money Concepts (SMC). Suitable for multiple assets like cryptocurrencies and forex, it specializes in scalping and swing trading, directly usable on the TradingView platform.
Key Features
Trend Identification
Supertrend: Generates buy/sell signals (🚀 for long, 🐻 for short) when price crosses the trend channel, indicating trend direction.
Cirrus Cloud: Green denotes bullish trends, red for bearish trends, visually reflecting trend strength.
Market Structure Analysis
Identifies BOS (Break of Structure) and CHoCH (Change of Character) to mark short-term (internal structure) and long-term (swing structure) price turning points.
Order Blocks (OB) & Fair Value Gaps (FVG): Highlights institutional capital concentration zones and price gaps, signaling potential support/resistance levels.
Risk Management
Automatically calculates 3 take-profit levels (TP1-TP3) and 1 stop-loss (SL), dynamically adjusted based on ATR. Specific prices and lines are displayed on the chart.
Auxiliary Tools
ADX Indicator: Judges trend strength; purple marks sideways ranges (low signal reliability).
Multi-timeframe compatibility: Optimized for 15-minute charts to adapt to high volatility in cryptocurrencies, with adjustable parameters to filter noise.
Use Cases
Scalping: Combine 15-minute FVG fills and order block breakouts for quick entries/exits.
Swing Trading: Leverage trend cloud + structure breakout signals to capture medium-term trends.
Suitability: Ideal for traders comfortable with short-term volatility and basic technical analysis.
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview
This indicator is a professional gold scalping tool built for TradingView using Pine Script v6.
It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking).
It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments.
2. Key Features
Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX.
Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close.
Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL.
Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates.
Customizable Filters – All filters can be turned ON/OFF to match your strategy.
3. Main Inputs & Settings
Account Settings
Capital ($) – Total trading capital.
Risk Percentage (%) – Risk per trade.
TP to SL Ratio – Risk-to-reward ratio.
Value Per Point ($) – Value per pip/point for lot size calculation.
SL Buffer – Extra points added to SL to avoid stop hunts.
Take Profit Settings
TP1 % of Full Target – Fraction of TP1 compared to TP2.
Move SL to Entry after TP1? – Activates Break Even after TP1.
Break Even Buffer – Extra points when moving SL to BE.
Take Partial Close at TP1 – Option to close half at TP1.
Signal Filters
ATR Period – For SL/TP calculation buffer.
EMA Trend – Uses EMA 9/21 crossover for trend.
Break of Structure (BoS) – Requires structure break confirmation.
Order Block (OB) – Validates trades within OB zones.
Fair Value Gap (FVG) – Confirms trades inside FVGs.
Liquidity Sweep – Checks if liquidity zones are swept.
Pin Bar Confirmation – Uses candlestick patterns for extra confirmation.
Pin Bar Body Ratio – Controls strictness of Pin Bar filter.
Higher Timeframe Filters (HTF)
HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend.
HTF BoS – Confirms with higher timeframe structure break.
HTF Timeframe – Selects higher timeframe.
Advanced Filters
SuperTrend Filter – Confirms trades based on SuperTrend.
ADX Filter – Filters out low volatility periods.
SMA Cross Filter – Uses SMA 8/9 cross as filter.
Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter.
4. How It Works
Buy Signal Conditions
EMA 9 > EMA 21 (trend bullish)
Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled.
When all active filters pass → Buy signal triggers.
Sell Signal Conditions
EMA 9 < EMA 21 (trend bearish)
Same filtering process but for bearish conditions.
When all active filters pass → Sell signal triggers.
5. Trade Execution & Management
When a signal triggers:
Lot size is auto-calculated based on risk % and SL distance.
SL is placed beyond recent swing high/low + ATR buffer.
TP1 and TP2 are calculated from the SL using the reward-to-risk ratio.
Break Even: If enabled, SL moves to entry price after TP1 is hit.
Partial Close: If enabled, half of the position closes at TP1.
Trade Exit: Full exit at TP2, SL hit, or partial close at TP1.
6. Chart Display
Entry Line – Shows entry price.
SL Line – Red dashed line at stop loss level.
TP1 Line – Lime dashed line for TP1.
TP2 Line – Green dashed line for TP2.
PnL Labels – Displays real-time profit/loss in $.
Trade Box – Visual area showing trade range.
Pin Bar Shapes – Optional, marks Pin Bars.
7. Statistics Panel
Stats Header – Shows “Stats”.
Total Trades
Wins
Losses
Breakeven Trades
Total PnL
Can be reset or filtered by date.
8. How to Use
Load the Indicator in TradingView.
Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m).
Adjust settings:
Use default gold scalping settings for quick start.
Enable/disable filters according to your style.
Wait for a Buy/Sell alert.
Confirm visually that all desired conditions align.
Place trade with calculated lot size, SL, and TP levels shown on chart.
Let trade run – the indicator manages Break Even & Partial Close if enabled.
9. Recommended Timeframes
Scalping: 1m, 5m, 15m
Day Trading: 15m, 30m, 1H
Swing: 4H, Daily (adjust settings accordingly)
Machine Learning Price Target Prediction Signals [AlgoAlpha]Introducing the Machine Learning Price Target Predictions, a cutting-edge trading tool that leverages kernel regression to provide accurate price targets and enhance your trading strategy. This indicator combines trend-based signals with advanced machine learning techniques, offering predictive insights into potential price movements. Perfect for traders looking to make data-driven decisions with confidence.
What is Kernel Regression and How It Works
Kernel regression is a non-parametric machine learning technique that estimates the relationship between variables by weighting data points based on their similarity to a given input. The similarity is determined using a kernel function, such as the Gaussian (RBF) kernel, which assigns higher weights to closer data points and progressively lower weights to farther ones. This allows the model to make smooth and adaptive predictions, balancing recent data and historical trends.
Key Features
🎯 Predictive Price Targets : Uses kernel regression to estimate the magnitude of price movements.
📈 Dynamic Trend Analysis : Multiple trend detection methods, including EMA crossovers, Hull Moving Average, and SuperTrend.
🔧 Customizable Settings : Adjust bandwidth for kernel regression and tweak trend indicator parameters to suit your strategy.
📊 Visual Trade Levels : Displays take-profit and stop-loss levels directly on the chart with customizable colors.
📋 Performance Metrics : Real-time win rate, recommended risk-reward ratio, and training data size displayed in an on-chart table.
🔔 Alerts : Get notified for new trends, take-profit hits, and stop-loss triggers.
How to Use
🛠 Add the Indicator : Add it to your favorites and apply it to your chart. Configure the trend detection method (SuperTrend, HMA, or EMA crossover) and other parameters based on your preferences.
📊 Analyze Predictions : Observe the predicted move size, recommended risk-reward ratio, and trend direction. Use the displayed levels for trade planning.
🔔 Set Alerts : Enable alerts for trend signals, take-profit hits, or stop-loss triggers to stay informed without constant monitoring.
How It Works
The indicator calculates features such as price volatility, relative strength, and trend signals, which are stored during training periods. When a trend change is detected, the kernel regression model predicts the likely price move based on these features. Predictions are smoothed using the specified bandwidth to avoid overfitting while ensuring timely responses to feature changes. Visualized take-profit and stop-loss levels help traders optimize risk management. Real-time metrics like win rate and recommended risk-reward ratios provide actionable insights for decision-making.
Trend Following Composite Index ( TFCI ) 🏆 Trend Following Composite Index (TFCI) 🏆
Overview 🔎
The Trend Following Composite Index (TFCI) is designed to provide traders with a comprehensive view of market trends by combining several technical indicators in a single, unified tool. Each component brings its unique perspective, and together they create a well-rounded signal that may help traders better understand the current market condition. TFCI simplifies the decision-making process by aggregating these signals into one easy-to-read confidence percentage, allowing traders to quickly gauge whether the market is trending upwards, downwards, or is in a period of indecision.
Combining Multiple Indicators for a Unique Edge 🔀
TFCI integrates six different technical indicators, each tuned to capture distinct aspects of market behavior. Rather than relying on any single indicator, TFCI merges their signals into one, providing a more nuanced and potentially more reliable view of the market. This combination helps reduce the weaknesses inherent in any one indicator, offering a more balanced and holistic trend signal.
RSI Filter: The RSI helps identify potential overbought or oversold conditions, but when used alone, it can generate false signals. In TFCI, the RSI is smoothed and combined with other metrics to avoid reacting to small fluctuations, making the signals more robust.
Kijun-Based Band: This component, inspired by the Kijun-sen line from the Ichimoku system, defines adaptive price bands based on market equilibrium. When combined with a smoothing filter, it provides traders with clear visual cues for potential trend reversals, reducing the guesswork.
Boosted Moving Average: By combining short- and long-term EMAs, this component reacts quickly to price changes, while the "boost" factor enhances its ability to confirm trends early. This combination helps filter out market noise, making it easier to spot genuine trend shifts.
Deviation Condition: This proprietary moving average adjusts dynamically based on volatility, which means it adapts to fast-changing market conditions. By adjusting its sensitivity based on market deviations, it helps smooth out erratic price movements, creating clearer trend signals.
VWTSI (Volume-Weighted Trend Strength Indicator): Volume is an essential factor in confirming trends. This indicator looks at price movements in relation to volume to assess the strength of the trend. By factoring in volatility, it ensures that traders are focusing on the strongest market moves, further enhancing the reliability of the signals.
Supertrend: A volatility-based trailing stop that defines buy and sell points. Its role in TFCI is to help maintain positions during trending markets while avoiding premature exits due to minor pullbacks.
A Streamlined Confidence Signal 🧮
One of the main advantages of TFCI is that it simplifies the multitude of signals into one easy-to-read confidence percentage. The aggregation of multiple indicators means that no single indicator drives the signal; instead, the combined analysis ensures that only when several conditions align do you get a clear trend indication. This reduces false positives and gives traders a more confident view of the overall market direction.
Bullish signals from several components push the percentage higher.
Bearish signals lower the percentage.
A neutral score indicates indecision, signaling a potential range-bound or consolidating market.This consolidated signal allows traders to make quicker decisions without having to interpret several individual indicators, making the tool more user-friendly and practical for daily trading.
Why TFCI’s Combination is Unique and Useful 🔍
What makes TFCI stand out is how each of these indicators works together to offer a more comprehensive view of the market:
Reduced Noise: By combining multiple indicators, TFCI reduces the likelihood of acting on false signals. The integration of smoothing mechanisms and volume-based confirmations further increases signal reliability.
More Balanced Analysis: Using indicators that analyze price, volume, volatility, and trend strength, TFCI provides a balanced view of market conditions. Traders can trust that the signal reflects multiple facets of the market rather than just one aspect, making it more adaptable to different market environments.
Easier to Read: Instead of juggling multiple charts or relying on complex setups, TFCI combines everything into one clear percentage and visual signal. This saves time and reduces the complexity of decision-making.
Tested Across Market Conditions 📅
While no indicator can predict the future, TFCI has been tested in a range of market conditions. Its ability to adapt to different environments (trending, volatile, or range-bound) makes it a versatile tool, though like any technical tool, it should be used alongside other forms of analysis and risk management.
Custom Display Options for Readability 📊
To make TFCI even more versatile, it includes two display modes:
Table Mode: This mode breaks down the signals from each component, showing traders exactly how each element is contributing to the overall confidence score. Ideal for those who want to dig deeper into the details.
Gauge Mode: A simplified visual display, perfect for traders who want a quick, at-a-glance view of market conditions.
Color Blindness Mode 🌈
TFCI also includes several color palettes for traders affected by color blindness, ensuring everyone can easily interpret the signals.
Conclusion 🔒
TFCI brings together multiple technical indicators in a unique way that aims to improve trend detection by providing a balanced and easy-to-read signal. Its proprietary adjustments and combination of price, volume, and volatility indicators offer a comprehensive view of market conditions, making it a valuable tool for traders of all experience levels. However, it is essential to remember that no past performance can guarantee future results.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
Portfolio Management [TrendX_]Portfolio Management is a powerful tool that helps you create and manage your own portfolio of stocks, based on your risk and return preferences.
*** Note: You should select the appropriate index for each stock as the benchmark to compare your portfolio’s performance.
*** Note: You should apply the indicator to the same chart as the benchmark, so that it can capture the historical trends of all the 10 stocks in your portfolio.
USAGE
Analyze your portfolio’s return factor, which shows the compound annual growth rate (CAGR) of each stock and the portfolio as a whole, as well as the weight of each stock in the portfolio.
The Weighting approach contains 2 options, Equal and Growth-based method:
Customize your portfolio by selecting up to 10 stocks from a wide range of markets and sectors:
Compare your portfolio’s performance with a benchmark of your choice, which is the S&P500 by default setting.
Evaluate your portfolio’s risk factor, which includes the capital asset pricing model (CAPM), the portfolio beta, and the Sharpe ratio of both the portfolio and the benchmark:
- CAPM is a model that calculates the expected return of the portfolio based on its risk and the risk-free rate of return.
- Portfolio beta is a measure of how sensitive the portfolio is to the movements of the benchmark. A beta of 1 means the portfolio moves in sync with the benchmark, a beta of less than 1 means the portfolio is less volatile than the benchmark, and a beta of more than 1 means the portfolio is more volatile than the benchmark.
- Sharpe ratio measures how much excess return the portfolio generates per unit of risk. It is calculated by subtracting the risk-free rate of return from the portfolio’s return, and dividing by the portfolio’s standard deviation. A higher Sharpe ratio means the portfolio has a better risk-adjusted return. A Sharpe ratio of more than 1 is considered good, a Sharpe ratio of more than 2 is considered very good, and a Sharpe ratio of more than 3 is considered excellent .
Adjust your portfolio’s rebalancing strategy, which determines when and how to change the weight of each stock in the portfolio to optimize your return and risk objectives. The tool also suggests a default hedging-stock asset, which is the US dollar interpreted through the dollar index (DXY):
- The dollar index is a measure of the value of the US dollar relative to a basket of other major currencies. It is often used as a proxy for the global economic sentiment and the demand for safe-haven assets. A rising dollar index means the US dollar is strengthening, which may indicate a bearish outlook for the stock market. A falling dollar index means the US dollar is weakening, which may indicate a bullish outlook for the stock market.
- The rebalancing strategy suggest increasing the weight of the hedging-stock asset when the dollar index is under positive supertrend condition, and decreasing the weight of the hedging-stock asset when the dollar index is in the downward supertrend. This way, you can hedge against the adverse effects of the stock market fluctuations on your portfolio, simply you can just cash out at the suggested hedging weight.
CONCLUSION
Investors can gain a deeper insight into their portfolio’s performance, risk, and potential, and make informed decisions to achieve their financial goals with confidence and ease.
DISCLAIMER
The results achieved in the past are not all reliable sources of what will happen in the future. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, you should always exercise caution and judgment when making decisions based on past performance.
Multi IND Dashboard [Skiploss]Multi IND Dashboard is dashboard combine with price change, RSI, ATR, Alligator and Supertrend. With a maximum of 10 timeframes, I think it's going to make your life easier. In looking at the momentum of each chart.
How it work??
Change :
It is the distance from the close price of previous candlestick and shows the movement value of the candlestick in that timeframe.
RSI :
Default setting are 14 and source close
Value >= 75 : Fill text color maximum overbought
Value >= 65 : Fill text color medium overbought
Value >= 55 : Fill text color minimum overbought
Value >= 45 : Fill text color minimum overbought
Value >= 35 : Fill text color medium overbought
Value >= 25 : Fill text color maximum overbought
ATR :
Default setting are 14 length and RMA smoothing, It like the average swing of the candlesticks.
Alligator :
Default setting are 13, 8 and 5
Bullish status is value lips > teeth and teeth > jaw
Bearish status is value lips < teeth and teeth < jaw
Neutral status status is value lips > teeth and teeth < jaw or lips < teeth and teeth > jaw
Supertrend :
Default setting are 8 and 3.0
Bullish status is uptrend
Bearish status is downtrend
Ultimate Custom MTF ScreenerThis indicator will allow you to make your custom TradingView MTF screener without coding. Add it to the chart, select up to 10 instruments, 4 timeframes, and 4 indicators, and the screener will do the rest for you. The indicator will form a lovely table with all values and highlighted signals.
The screener is highly customizable, and you can choose its position on the chart, sorting, order of the columns, and colors for the tables. You can easily change parameters for all supported indicators and their signals.
Currently, there are 21 different custom indicators available. Current list of indicators:
Average Directional Index (ADX) - displaying the value of ADX and checking if it's higher than the threshold
Average True Range (ATR) - showing the value of ATR
Awesome Oscillator (AO) - displaying the value of AO and highlighting positive/negative values.
Bollinger Bands (BB) - showing if the price is above/below/in the channel.
Breakout Pivots - Displaying when the price is below/above the most recent pivot low/high.
Commodity Channel Index (CCI) - shows the last CCI value and highlights overbought/oversold values.
Directional Movement Index (DMI) - Up/Down signal (+DI above or below -DI)
Donchian Channel (DC) - showing if the price is above/below/in the channel.
Heikin Ashi Count (HAC) - What is the current Heikin Ashi candle color and for how long was this color?
Historical Volatility (HV) - Current value of Historical Volatility
Keltner Channel (KC) -showing if the price is above/below/in the channel.
Moving Average Convergence Divergence (MACD) - Up/Down signal (MACD above / below signal)
Moving Average Crossover (MA Cross) - Displaying MA crosses signals (SMA, EMA, WMA, HMA, VWMA, SMMA, DEMA, VWAP supported)
Moving Average Distance (MA DIST) - Displaying distance to the MA (SMA, EMA, WMA, HMA, VWMA, SMMA, DEMA, VWAP supported)
Parabolic Stop and Reverse (PSAR) - Up or Down
Relative Strength Index (RSI) - Displaying the last RSI value and highlighting overbought/oversold values.
Stochastic (STOCH) - Displaying the last Stochastic value and highlighting overbought/oversold values.
Stochastic RSI (STOCH RSI) - Displaying the last Stochastic RSI value and highlighting overbought/oversold values.
SuperTrend - Current state of the SuperTrend.
Trailing Stop-Loss (TSL) - Up or Down
True Strength Index (TSI) - Displaying the last TSI value and highlighting overbought/oversold values.
We're already working on adding a few more supported indicators. If you have any ideas about the indicators you want to see in our screener, contact us, and we'll consider them.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
WonderTrend IndicatorDetermining trends and reversals are the keys to trading, yet very difficult. Parabolic SAR is hard to trade during choppy price action. SuperTrend is a bit late in determining changes of trend and not great and exit signals.
So WonderTrend is a bit of both, a more stubborn PSAR, also a faster SuperTrend. The green is up, red is down, and yellow is caution helps traders read the chart patterns to enter and exit.
Enjoy!
Multi Trend Tool - SonarlabVersion 1 (releasing new updates every 2 weeks
The Sonarlab Liquid Script included a lot of indicators at once, so you have all the tools you need in hand reach.
Features:
01_ Revision Band (Reversal Cloud)
The reversal cloud can be used for many options. These zones can be great areas to take profit or find early entries to use alongside the confirmation or contrarian signals.
02_Supply & Demand Levels / Imbalances (still need some improvement)
The driving force behind changes in price is supply and demand. When there are more buyers than sellers, the market price will move up. Conversely, when there are more sellers than buyers, the market price will move down. When buyers and sellers are more or less even, the market will range. Know where the world’s biggest buyers & sellers are entering and exiting their trades, so you can too.
03_Support and Resistance (Multi Timeframe)
04_Trading Dashboard
Get a quick overview of the current market situation.
- Multi Timeframe Trend Structures
- Volatility %
- Trend Strength %
- Directional Bias: Strong/ Weak/ Neutral
- Trading Sessions
05_Imbalances
See Imbalances within a wink of an eye. Draw them out and make better decisions using those zones (those zones needs to be filled.)
06_Filter options
Filter the signals with Moving averages or with a second trend structure
07_Trend Lines
08_Pivot Highs and Lows
09_Alerts
Even the option to automate the signals true 3Commas (Please wait for our Strategy version of this indicator before using this function).
10_Reduce Risk/ Exit Points
Grey circles on the chart
A lot of things can be changed and customize as you want. You can change/set:
- Colors of Body and Top/Bottom Wicks separately
- Moving Average Values
- Supply and demand values
- Trend Line values
- Colors of the shapes
Sonarlab can be adjusted To All Trading Styles to simply create your own, unique trading strategies around this Powerful Indicator.
Support
For questions, you can reach out on discord or send us a private message on Tradingview or discord group.
We kindly suggest you to test this indicator out on a demo account first.
DSI - Dynamic Strength Index The DSI is a volume weighted momentum indicator similar but superior to the traditional RSI.
The DSI algorithm takes values for RSI, MFI, OBV and stochastics, then gives them each a different weighting depending on their historic reliability in different market conditions, and then averages out the values.
This results in a very reliable, noise-free momentum indicator, especially reliable on high timeframes.
Further features include:
Auto Trendlines - Up-downtrend lines to show support, resistance and breakouts
Supertrend- A momentum (ATR based) version of the Supertrend.
Divergences - Bullish and bearish momentum divergences, with confirmation signals.
General Rules:
Bullish above 50
Bearish below 50
Enjoy!
MM
Cyatophilum Swing Trader [ALERTSETUP]This is an indicator for swing trading which allows you to build your own strategies, backtest and alert. This version is the alertsetup which allows to create automated alerts hosted on TradingView servers that will trigger in form of emails, SMS, webhooks, notifications, and more. The backtest version can be found in my profile scripts page.
The particularity of this indicator is that it contains several indicators, including a custom one, that you can choose in a drop down list, as well as a trailing stop loss and take profit system.
The current indicators are :
CYATO AI: a custom indicator inspired by Donchian Channels that will catch each big trend and important reversal points .
The indicator has two major "bands" or channels and two minor bands. The major bands are bigger and are always displayed.
When price reaches a major band, acting as a support/resistance, it will either bounce on it or break through it. This is how "tops" and "bottoms", and breakouts are caught.
The minor bands are used to catch smaller moves inside the major bands. A combination of volume, momentum and price action is used to calculate the signals.
Advantages of this indicator: it should catch top and bottoms better than other swing trade indicators.
Cons of this indicator: Some minor moves might be ignored. Sometimes the script will catch a fakeout due to the Bands design.
Best timeframes to use it : 2H~4H
Sample:
Other indicators available:
SARMA: A combination of Parabolic Stop and Reverse and Exponential Moving Average (20 and 40) .
SAR: Regular Parabolic Stop and Reverse .
QQE: An indicator based on Quantitative Qualitative Estimation .
SUPERTREND: A reversal indicator based on Average True Range .
CHANNELS: The classic Donchian Channels .
More indicators might be added in the future.
About the signals: each entry (long & short) is calculated at bar close to avoid repainting. Exits (SL & TP) can either be intra-bar or at bar close using the Exit alert type parameter.
STOP LOSS SYSTEM
The base indicators listed above can be used with or without TP/SL.
TP and SL can be both turned on and off and configured for both directions.
The system can be configured with 3 parameters as follows:
Stop Loss Base % Price: Starting Value for LONG/SHORT stop loss
Trailing Stop % Price to Trigger First parameter related to the trailing stop loss. Percentage of price movement in the right direction required to make the stop loss line move.
Trailing Stop % Price Movement: Second parameter related to the trailing stop loss. Percentage for the stop loss trailing movement.
Another option is the "Reverse order on Stop Loss". Use this if you want the strategy to trigger a reverse order when a stop loss is hit.
TAKE PROFIT SYSTEM
The system can be configured with 2 parameters as follows:
Take Profit %: Take profit value in percentage of price.
Trailing Profit Deviation %: Percent deviation for the trailing take profit.
Combining indicators and Take Profit/Stop Loss
One thing to note is that if a reversal signal triggers during a trade, the trade will be closed before SL or TP is reached.
Indeed, the base indicators are reversal indicators, they will trigger long/short signals to follow the trend.
It is possible to use a takeprofit without stop loss, like in this example, knowing that the signal will reverse if the trade goes badly.
The base indicators settings can be changed in the "Advanced Parameters" section.
Configuration used for this snapshot:
ALERTS DEFINITION
Each alert correspond to the labels on chart.
01. LONG ENTRY (BUY) : Long alert
02. LONG STOP LOSS : Long stop loss event
03. LONG TAKE PROFIT : Long take profit event
04. SHORT ENTRY (SELL) : Short alert
05. SHORT STOP LOSS : Short stop loss event
06. SHORT TAKE PROFIT : Short take profit event
07. LONG EXIT : Long exit alert. Triggers on both Stop loss and Take Profit
08. SHORT EXIT : Short exit alert. Triggers on both Stop loss and Take Profit
09. ALL TAKE PROFITS : Long and Short Take Profits. Both directions.
10. ALL STOP LOSSES : Long and Short Stop Losses. Both directions.
11. ALL EXITS : Long and Short exits alert. Stop Loss and Take Profit both Long and Short.
Use the link below to obtain access to this indicator.
RinganTrend 0.4This is from SuperTrend.
But I changed manything. so now i call it ringanTrend.
now v0.4
buy at green arrow. (end of black line)
sell at red arrow. (end of blue line)
but be carefull. it may take your money.
look at the chart. left side it take trader's money often.(but small)
also i published v0.3 before
so you can use 0.3 and 0.4 at the same time.
you can change 4 value.
v0.3 setting is 4, 13, 8, 5
0.4's default setting is for shooter(maybe)
2, 4, 1, 1
you trade often in 0.4 default setting than v0.3
and i fixed small bug.
I am not sure i will make v0.5
cause ...i guess i cannot make better than this.
SuperTrend is so nice idea already!! especially for alt-coin
you can see difference.
in korean
빨간화살표에서 파세요 (파란선이 끝나는 점)
녹색화살표에서 사세요 (검은선이 끝나는 점)
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
Distance Oscillator - Support and Resistance by DGT
Prices high above the Moving Average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in the article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
This study is the third variant that aims to present this idea, and the output of the study is presented as lines that serve as possible support and resistance levels in the future.
1st variant of the idea is presented as an centered oscillator, link to Price Distance to its MA Study , within its description you may find more about the idea and some statistical observations. Also some derivatives with MACD-X, More Than MACD and P-MACD
2nd variant of the idea are presented as colored triangle line (Volatility Colored Price/MA Line), using the same calculation methods and presented in the bottom of price chart.
Link to studies where it is included : Colored Directional Movement and Bollinger Band's Cloud , SuperTrendRange and Pivot Points vX
3rd variant (this study) as stated earlier aims to present the same idea as support and resistance levels.
Options
The users can adjust source and length of the moving average that is used as base for the distance oscillator
Signal triggering options includes length for the deviation bands, multiplier as well as smoothing of the oscillator
Line customization settings
Additionally an alert can be configured to be warned earlier to watch out for probable pullbacks or reversals
Technical details for whom interested
Calculating the price distance to the MA results in a centered oscillator lets call it Distance Oscillator (quite similar to the RSI), as shown in the blow chart
Unlike RSI, oscillations with the distance oscillator are not limited within a specific range, hence identifying overbought and oversold is not as straight forward as it is with RSI. To determine overbought and oversold levels, standard deviation of distance oscillator is calculated and bands generated with the same approach applied with Bollinger Bands.
Once we have the threshold bands then crossing those bands we may assume as important levels and draw a line, if oscillator values keeps above the threshold bands (deviation bands) the logic behind the code will update the line drawing accordingly.
To reduce noise a smoothing can be applied
Alerts :
Please note that the implementation applied here can be applied to any oscillator such as RSI, Stochastic, MFI etc even Volume (if bear candle volumes are multiplied by -1)
Disclaimer :
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Trader DrFXAi syahmie//@version=5
indicator("Trader DrFXAi", "👑Scalper Pro®👑Pattern Recognition & Price Action"
, overlay = true
, max_labels_count = 500
, max_lines_count = 500
, max_boxes_count = 500
, max_bars_back = 500)
//INICIA MODULO SUPERTREND
// Get user input
//INICIA MODULO SUPERTREND
// Get user input
// Instead of inputs, define constants or variables directly
// Instead of inputs, define constants or variables directly
var float nsensitivity = 1
nbuysell = input.bool(true, 'Buy/Sell Signal', inline = "BSNM",group='BUY/SELL SIGNAL')
// SMA
sma4_strong = ta.sma(close, 8)
sma5_strong = ta.sma(close, 9)
// Signal Generation
// Signal Generation Function
supertrend(_src, factor, atrLen) =>
atr = ta.atr(atrLen)
upperBand = _src + factor * atr
lowerBand = _src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
var int direction = na
var float superTrend = na
prevSuperTrend = nz(superTrend )
if na(atr )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := close > upperBand ? -1 : 1
else
direction := close < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
= supertrend(close, nsensitivity*7,10)
//señales
bull = ta.crossover(close, supertrend)
bear = ta.crossunder(close, supertrend)
//FIN MODULO SUPERTREND
// Risk Management
levels2 = input.bool(true, "Show TP/SL Levels2" , group = "Risk Management" , inline = "MMDB2")
lvlLines = input.bool(true, "Show Lines ", inline="levels2", group = "Risk Management")
linesStyle = input.string("SOLID", "", , inline="levels2", group = "Risk Management")
lvlDistance = input.int(40, "Distance", 1, inline="levels2", group = "Risk Management")
lvlDecimals = input.int(4, " Decimals", 1, 8, inline="levels2", group = "Risk Management")
atrRisk = input.int(3, "Risk % ", 1, group = "Risk Management" , inline="levels3")
atrLen = input.int(14, " ATR Length", 1, group = "Risk Management" , inline="levels3")
decimals = lvlDecimals == 1 ? "#.#" : lvlDecimals == 2 ? "#.##" : lvlDecimals == 3 ? "#.###" : lvlDecimals == 4 ? "#.####" : lvlDecimals == 5 ? "#.#####" : lvlDecimals == 6 ? "#.######" : lvlDecimals == 7 ? "#.#######" : "#.########"
CirrusCloud = input(true, 'Cirrus Cloud', group='TREND FEATURES')
// Plots
windowsize = 100
offset = 0.9
sigma = 6
//plot(ta.alma(source, windowsize, offset, sigma))
windowsize2 = 310
offset2 = 0.85
sigma2 = 32
//plot(ta.alma(source, windowsize2, offset2, sigma2))
// Chart Features
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrng = ta.ema(avrng, wper) * m
smoothrng
smrng = smoothrng(close, 22, 6)
rngfilt(x, r) =>
rngfilt = x
rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r
rngfilt
filt = rngfilt(close, smrng)
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
filtcolor = upward > 0 ? color.new(#00e2ff, 50) : downward > 0 ? color.new(#fe0100, 50) : color.new(#56328f, 0)
// Trend Cloud
tclength = 600
hullma = ta.wma(2*ta.wma(close, tclength/2)-ta.wma(close, tclength), math.floor(math.sqrt(tclength)))
// Chart Features
x1 = 22
x2 = 9
x3 = 15
x4 = 5
smoothrngX1(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrngX1 = ta.ema(avrng, wper) * m
smoothrngX1
smrngx1x = smoothrngX1(close, x1, x2)
smrngx1x2 = smoothrngX1(close, x3, x4)
rngfiltx1x1(x, r) =>
rngfiltx1x1 = x
rngfiltx1x1 := x > nz(rngfiltx1x1 ) ? x - r < nz(rngfiltx1x1 ) ? nz(rngfiltx1x1 ) : x - r : x + r > nz(rngfiltx1x1 ) ? nz(rngfiltx1x1 ) : x + r
rngfiltx1x1
filtx1 = rngfiltx1x1(close, smrngx1x)
filtx12 = rngfiltx1x1(close, smrngx1x2)
// ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
upwardx1 = 0.0
upwardx1 := filtx1 > filtx1 ? nz(upwardx1 ) + 1 : filtx1 < filtx1 ? 0 : nz(upwardx1 )
downwardx1 = 0.0
downwardx1 := filtx1 < filtx1 ? nz(downwardx1 ) + 1 : filtx1 > filtx1 ? 0 : nz(downwardx1 )
filtx1colorx1 = color.rgb(0, 187, 212, 100)
xxx1 = plot(CirrusCloud ? filtx1 : na, color=filtx1colorx1, linewidth=1, title='Trend Tracer', editable = false)
xxx2 = plot(CirrusCloud ? filtx12 : na, color=filtx1colorx1, linewidth=1, title='Trend Tracer', editable = false)
fill(xxx1, xxx2, color= filtx1 > filtx12 ? color.rgb(254, 0, 0, 86) : color.rgb(21, 255, 0, 86))
trigger2 = bull ? 1 : 0
countBull = ta.barssince(bull)
countBear = ta.barssince(bear)
trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
atrBand = ta.atr(atrLen) * atrRisk
atrStop = trigger == 1 ? low - atrBand : high + atrBand
// Colors
green = #2BBC4D, green2 = color.rgb(0, 221, 0, 27)
red = #C51D0B, red2 = #c51d0b
adxlen = 15
dilen = 15
dirmov(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : up > down and up > 0 ? up : 0
minusDM = na(down) ? na : down > up and down > 0 ? down : 0
truerange = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
adx(dilen, adxlen) =>
= dirmov(dilen)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
adx
sig = adx(dilen, adxlen)
// range ADX threshold
sidewaysThreshold = input.int(title='ADX Sideways Threshold (10-30)', minval=2, defval=15)
// boolean expression to see if the ADX is below tehe sideways threshold
bool isSideways = sig < sidewaysThreshold
// adding the option to color the bars when in a trading range
useBarColor = true
bColor = isSideways ? #b102fc : na
barcolor(useBarColor ? bColor : na)
barcolor(close > supertrend ? #3cff00 : #fe0100)
percentStop = input.float(1, "Stop Loss % (0 to Disable)", 0, group="BUY & SELL SIGNALS")
srcStop = close
lastTrade(src) => ta.valuewhen(bull or bear, src, 0)
entry_y = lastTrade(srcStop)
stop_y = lastTrade(atrStop)
tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y
tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y
tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y
labelTpSl(y, txt, color) =>
label labelTpSl = percentStop != 0 ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, #000000, size.normal) : na
label.delete(labelTpSl )
if (levels2)
labelTpSl(entry_y, "Entry -- " + str.tostring(entry_y, decimals), color.rgb(242, 244, 252))
labelTpSl(stop_y , " Stop Loss -- " + str.tostring(stop_y, decimals), #f90808)
labelTpSl(tp1_y, " TP 1 -- " + str.tostring(tp1_y, decimals), #00ff08)
labelTpSl(tp2_y, " TP 2 -- " + str.tostring(tp2_y, decimals), #00ff08)
labelTpSl(tp3_y, " TP 3 -- " + str.tostring(tp3_y, decimals), #00ff08)
style2 = linesStyle == "SOLID" ? line.style_solid : linesStyle == "DASHED" ? line.style_dashed : line.style_dotted
lineTpSl(y, color) =>
line lineTpSl = percentStop != 0 ? line.new(bar_index - (trigger ? countBull : countBear) + 4, y, bar_index + 1, y, xloc.bar_index, extend.none, color, style2) : na
line.delete(lineTpSl )
if (lvlLines)
lineTpSl(entry_y, color.green)
lineTpSl(stop_y, color.red)
lineTpSl(tp1_y, color.green)
lineTpSl(tp2_y, color.green)
lineTpSl(tp3_y, color.green)
y1 = low - (ta.atr(30) * 2), y1B = low - ta.atr(30)
y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30)
buy = bull and nbuysell ? label.new(bar_index, y1, sma4_strong >= sma5_strong ? "🚀" : "🚀", xloc.bar_index, yloc.price, color.rgb(10, 247, 18, 60), label.style_label_up, #000000, size.normal) : na
sell = bear and nbuysell ? label.new(bar_index, y2, sma4_strong <= sma5_strong ? "🐻" : "🐻", xloc.bar_index, yloc.price, color.rgb(239, 12, 12, 66), label.style_label_down, #000000, size.normal) : na
int volSen = 3
plotchar(volSen, "volSen", "", location.top)
// Get Components
ema1 = ta.ema(ohlc4, 5*volSen)
ema2 = ta.ema(ohlc4, 9*volSen)
ema3 = ta.ema(ohlc4, 13*volSen)
ema4 = ta.ema(ohlc4, 34*volSen)
ema5 = ta.ema(ohlc4, 50*volSen)
alertcondition(bull, title='Buy Signal', message = "BUY")
alertcondition(bear, title='sell Signal', message = "BUY")
//-----------------------------------------------------------------------------{
//Constants
//-----------------------------------------------------------------------------{
color TRANSP_CSS = #ffffff00
//Tooltips
string MODE_TOOLTIP = 'Allows to display historical Structure or only the recent ones'
string STYLE_TOOLTIP = 'Indicator color theme'
string COLOR_CANDLES_TOOLTIP = 'Display additional candles with a color reflecting the current trend detected by structure'
string SHOW_INTERNAL = 'Display internal market structure'
string CONFLUENCE_FILTER = 'Filter non significant internal structure breakouts'
string SHOW_SWING = 'Display swing market Structure'
string SHOW_SWING_POINTS = 'Display swing point as labels on the chart'
string SHOW_SWHL_POINTS = 'Highlight most recent strong and weak high/low points on the chart'
string INTERNAL_OB = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
string SWING_OB = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
string FILTER_OB = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
string SHOW_EQHL = 'Display equal highs and equal lows on the chart'
string EQHL_BARS = 'Number of bars used to confirm equal highs and equal lows'
string EQHL_THRESHOLD = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
string SHOW_FVG = 'Display fair values gaps on the chart'
string AUTO_FVG = 'Filter out non significant fair value gaps'
string FVG_TF = 'Fair value gaps timeframe'
string EXTEND_FVG = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
string PED_ZONES = 'Display premium, discount, and equilibrium zones on chart'
//-----------------------------------------------------------------------------{
//Settings
//-----------------------------------------------------------------------------{
//General
//----------------------------------------{
mode = input.string('Historical'
, options =
, group = 'Smart Money Concepts'
, tooltip = MODE_TOOLTIP)
style = input.string('Colored'
, options =
, group = 'Smart Money Concepts'
, tooltip = STYLE_TOOLTIP)
show_trend = input(false, 'Color Candles'
, group = 'Smart Money Concepts'
, tooltip = COLOR_CANDLES_TOOLTIP)
//----------------------------------------}
//Internal Structure
//----------------------------------------{
show_internals = input(false, 'Show Internal Structure'
, group = 'Real Time Internal Structure'
, tooltip = SHOW_INTERNAL)
show_ibull = input.string('All', 'Bullish Structure'
, options =
, inline = 'ibull'
, group = 'Real Time Internal Structure')
swing_ibull_css = input(#089981, ''
, inline = 'ibull'
, group = 'Real Time Internal Structure')
//Bear Structure
show_ibear = input.string('All', 'Bearish Structure'
, options =
, inline = 'ibear'
, group = 'Real Time Internal Structure')
swing_ibear_css = input(#f23645, ''
, inline = 'ibear'
, group = 'Real Time Internal Structure')
ifilter_confluence = input(false, 'Confluence Filter'
, group = 'Real Time Internal Structure'
, tooltip = CONFLUENCE_FILTER)
internal_structure_size = input.string('Tiny', 'Internal Label Size'
, options =
, group = 'Real Time Internal Structure')
//----------------------------------------}
//Swing Structure
//----------------------------------------{
show_Structure = input(true, 'Show Swing Structure'
, group = 'Real Time Swing Structure'
, tooltip = SHOW_SWING)
//Bull Structure
show_bull = input.string('All', 'Bullish Structure'
, options =
, inline = 'bull'
, group = 'Real Time Swing Structure')
swing_bull_css = input(color.rgb(0, 0, 0), ''
, inline = 'bull'
, group = 'Real Time Swing Structure')
//Bear Structure
show_bear = input.string('All', 'Bearish Structure'
, options =
, inline = 'bear'
, group = 'Real Time Swing Structure')
swing_bear_css = input(#000000, ''
, inline = 'bear'
, group = 'Real Time Swing Structure')
swing_structure_size = input.string('Small', 'Swing Label Size'
, options =
, group = 'Real Time Swing Structure')
//Swings
show_swings = input(false, 'Show Swings Points'
, inline = 'swings'
, group = 'Real Time Swing Structure'
, tooltip = SHOW_SWING_POINTS)
length = input.int(50, ''
, minval = 10
, inline = 'swings'
, group = 'Real Time Swing Structure')
show_hl_swings = input(true, 'Show Strong/Weak High/Low'
, group = 'Real Time Swing Structure'
, tooltip = SHOW_SWHL_POINTS)
//----------------------------------------}
//Order Blocks
//----------------------------------------{
show_iob = input(false, 'Internal Order Blocks'
, inline = 'iob'
, group = 'Order Blocks'
, tooltip = INTERNAL_OB)
iob_showlast = input.int(5, ''
, minval = 1
, inline = 'iob'
, group = 'Order Blocks')
show_ob = input(true, 'Swing Order Blocks'
, inline = 'ob'
, group = 'Order Blocks'
, tooltip = SWING_OB)
ob_showlast = input.int(5, ''
, minval = 1
, inline = 'ob'
, group = 'Order Blocks')
ob_filter = input.string('Atr', 'Order Block Filter'
, options =
, group = 'Order Blocks'
, tooltip = FILTER_OB)
ibull_ob_css = input.color(#ffdd0033, 'Internal Bullish OB'
, group = 'Order Blocks')
ibear_ob_css = input.color(#ffdd0033, 'Internal Bearish OB'
, group = 'Order Blocks')
bull_ob_css = input.color(color.rgb(255, 255, 255, 80), 'Bullish OB'
, group = 'Order Blocks')
bear_ob_css = input.color(color.rgb(255, 255, 255, 80), 'Bearish OB'
, group = 'Order Blocks')
//----------------------------------------}
//EQH/EQL
//----------------------------------------{
show_eq = input(false, 'Equal High/Low'
, group = 'EQH/EQL'
, tooltip = SHOW_EQHL)
eq_len = input.int(3, 'Bars Confirmation'
, minval = 1
, group = 'EQH/EQL'
, tooltip = EQHL_BARS)
eq_threshold = input.float(0.1, 'Threshold'
, minval = 0
, maxval = 0.5
, step = 0.1
, group = 'EQH/EQL'
, tooltip = EQHL_THRESHOLD)
eq_size = input.string('Tiny', 'Label Size'
, options =
, group = 'EQH/EQL')
//----------------------------------------}
//Fair Value Gaps
//----------------------------------------{
show_fvg = input(true, 'Fair Value Gaps'
, group = 'Fair Value Gaps'
, tooltip = SHOW_FVG)
fvg_auto = input(true, "Auto Threshold"
, group = 'Fair Value Gaps'
, tooltip = AUTO_FVG)
fvg_tf = input.timeframe('', "Timeframe"
, group = 'Fair Value Gaps'
, tooltip = FVG_TF)
bull_fvg_css = input.color(#ddff006f, 'Bullish FVG'
, group = 'Fair Value Gaps')
bear_fvg_css = input.color(#f2ff0060, 'Bearish FVG'
, group = 'Fair Value Gaps')
fvg_extend = input.int(10, "Extend FVG"
, minval = 0
, group = 'Fair Value Gaps'
, tooltip = EXTEND_FVG)
//----------------------------------------}
//Previous day/week high/low
//----------------------------------------{
//Daily
show_pdhl = input(false, 'Daily'
, inline = 'daily'
, group = 'Highs & Lows MTF')
pdhl_style = input.string('⎯⎯⎯', ''
, options =
, inline = 'daily'
, group = 'Highs & Lows MTF')
pdhl_css = input(#2157f3, ''
, inline = 'daily'
, group = 'Highs & Lows MTF')
//Weekly
show_pwhl = input(false, 'Weekly'
, inline = 'weekly'
, group = 'Highs & Lows MTF')
pwhl_style = input.string('⎯⎯⎯', ''
, options =
, inline = 'weekly'
, group = 'Highs & Lows MTF')
pwhl_css = input(#2157f3, ''
, inline = 'weekly'
, group = 'Highs & Lows MTF')
//Monthly
show_pmhl = input(false, 'Monthly'
, inline = 'monthly'
, group = 'Highs & Lows MTF')
pmhl_style = input.string('⎯⎯⎯', ''
, options =
, inline = 'monthly'
, group = 'Highs & Lows MTF')
pmhl_css = input(#2157f3, ''
, inline = 'monthly'
, group = 'Highs & Lows MTF')
//----------------------------------------}
//Premium/Discount zones
//----------------------------------------{
show_sd = input(false, 'Premium/Discount Zones'
, group = 'Premium & Discount Zones'
, tooltip = PED_ZONES)
premium_css = input.color(#f23645, 'Premium Zone'
, group = 'Premium & Discount Zones')
eq_css = input.color(#b2b5be, 'Equilibrium Zone'
, group = 'Premium & Discount Zones')
discount_css = input.color(#089981, 'Discount Zone'
, group = 'Premium & Discount Zones')
//-----------------------------------------------------------------------------}
//Functions
//-----------------------------------------------------------------------------{
n = bar_index
atr = ta.atr(200)
cmean_range = ta.cum(high - low) / n
//HL Output function
hl() =>
//Get ohlc values function
get_ohlc()=> [close , open , high, low, high , low ]
//Display Structure function
display_Structure(x, y, txt, css, dashed, down, lbl_size)=>
structure_line = line.new(x, y, n, y
, color = css
, style = dashed ? line.style_dashed : line.style_solid)
structure_lbl = label.new(int(math.avg(x, n)), y, txt
, color = TRANSP_CSS
, textcolor = css
, style = down ? label.style_label_down : label.style_label_up
, size = lbl_size)
if mode == 'Present'
line.delete(structure_line )
label.delete(structure_lbl )
//Swings detection/measurements
swings(len)=>
var os = 0
upper = ta.highest(len)
lower = ta.lowest(len)
os := high > upper ? 0 : low < lower ? 1 : os
top = os == 0 and os != 0 ? high : 0
btm = os == 1 and os != 1 ? low : 0
//Order block coordinates function
ob_coord(use_max, loc, target_top, target_btm, target_left, target_type)=>
min = 99999999.
max = 0.
idx = 1
ob_threshold = ob_filter == 'Atr' ? atr : cmean_range
//Search for highest/lowest high within the structure interval and get range
if use_max
for i = 1 to (n - loc)-1
if (high - low ) < ob_threshold * 2
max := math.max(high , max)
min := max == high ? low : min
idx := max == high ? i : idx
else
for i = 1 to (n - loc)-1
if (high - low ) < ob_threshold * 2
min := math.min(low , min)
max := min == low ? high : max
idx := min == low ? i : idx
array.unshift(target_top, max)
array.unshift(target_btm, min)
Scalper Pro Pattern Recognition & Price ActionOVERVIEW
Scalper Pro is a comprehensive multi-timeframe trading indicator that combines Smart Money Concepts (SMC) with traditional technical analysis to provide scalpers and day traders with high-probability entry and exit signals. This indicator integrates multiple analytical frameworks into a unified visual system designed specifically for short-term trading strategies.
ORIGINALITY & PURPOSE
What Makes This Script Original
This script is not a simple mashup of existing indicators. Instead, it represents a carefully orchestrated integration of complementary analytical methods that work together to solve a specific problem: identifying high-probability scalping opportunities in volatile markets.
The unique value proposition:
Adaptive Trend Filtering System - Combines a customized SuperTrend algorithm with dual-period range filters (Cirrus Cloud) and Hull Moving Average trend cloud to create a three-layer trend confirmation system
Smart Money Concepts Integration - Incorporates institutional trading concepts (Order Blocks, Fair Value Gaps, Break of Structure) with retail technical indicators for a complete market structure view
Dynamic Risk Management - Automatically calculates stop-loss and take-profit levels based on ATR volatility, providing objective position sizing
ADX-Based Market Regime Detection - Identifies ranging vs. trending markets through ADX analysis with visual bar coloring to prevent whipsaws during consolidation
Why Combine These Specific Components
Each component addresses a specific weakness in scalping:
SuperTrend provides the primary directional bias but can generate false signals in ranging markets
Range Filters smooth out noise and confirm trend direction, reducing SuperTrend false positives
ADX Analysis prevents trading during low-volatility consolidation when most indicators fail
SMC Elements identify institutional activity zones where price is likely to react strongly
ATR-Based Risk Management adapts position sizing to current volatility conditions
The synergy creates a system where signals are only generated when multiple confirmation layers align, significantly reducing false signals common in single-indicator approaches.
HOW IT WORKS
Core Calculation Methodology
1. SuperTrend Signal Generation
The script uses a modified SuperTrend algorithm with the following calculation:
ATR = Average True Range (default: 10 periods)
Factor = 7 (default sensitivity multiplier)
Upper Band = Source + (Factor × ATR)
Lower Band = Source - (Factor × ATR)
Directional Logic:
When price crosses above SuperTrend → Bullish signal
When price crosses below SuperTrend → Bearish signal
SuperTrend value is plotted as dynamic support/resistance
Key Modification: The sensitivity parameter (nsensitivity * 7) allows users to adjust the aggressiveness of trend detection without changing the core ATR calculation.
2. Range Filter System (Cirrus Cloud)
The Range Filter uses a smoothed range calculation to filter out market noise:
Smooth Range Calculation:
WPER = (Period × 2) - 1
AVRNG = EMA(|Price - Price |, Period)
Smooth Range = EMA(AVRNG, WPER) × Multiplier
Two-Layer System:
Layer 1: 22-period with 6x multiplier (broader trend)
Layer 2: 15-period with 5x multiplier (tighter price action)
Visual Output: The space between these two filters is colored:
Green fill = Bullish trend (Layer 1 > Layer 2)
Red fill = Bearish trend (Layer 1 < Layer 2)
This creates a "cloud" that expands during strong trends and contracts during consolidation.
3. ADX Market Regime Detection
Calculation:
+DM = Positive Directional Movement
-DM = Negative Directional Movement
True Range = RMA of True Range (15 periods)
+DI = 100 × RMA(+DM, 15) / True Range
-DI = 100 × RMA(-DM, 15) / True Range
ADX = 100 × RMA(|+DI - -DI| / (+DI + -DI), 15)
Threshold System:
ADX < Threshold (default 15) = Ranging market → Bar color changes to purple
ADX > Threshold = Trending market → Normal bar coloring applies
Purpose: This prevents taking trend-following signals during sideways markets where most indicators produce whipsaws.
4. Smart Money Concepts (SMC) Integration
Order Blocks (OB):
Identified using swing high/low detection with customizable pivot length
Bullish OB: Last down-close candle before bullish Break of Structure (BOS)
Bearish OB: Last up-close candle before bearish BOS
Extended forward until price breaks through them
Fair Value Gaps (FVG):
Detected when a three-candle gap exists:
Bullish FVG: Low > High
Bearish FVG: High < Low
Filtered by price delta percentage to ensure significant gaps
Displayed as boxes that delete when price fills the gap
Break of Structure (BOS) vs. Change of Character (CHoCH):
BOS = Price breaks the previous structural high/low in the current trend direction
CHoCH = Price breaks structure in the opposite direction (potential trend reversal)
Both internal (minor) and swing (major) structures are tracked
Equal Highs/Lows (EQH/EQL):
Detected when consecutive swing highs/lows are within ATR threshold
Often indicates liquidity pools that price may sweep before reversing
5. ATR-Based Risk Management
Calculation:
ATR Band = ATR(14) × Risk Multiplier (default 3%)
Stop Loss = Entry - ATR Band (for longs) or Entry + ATR Band (for shorts)
Take Profit Levels:
TP1 = Entry + (Entry - Stop Loss) × 1
TP2 = Entry + (Entry - Stop Loss) × 2
TP3 = Entry + (Entry - Stop Loss) × 3
Dynamic Labels: Stop loss and take profit levels are automatically calculated and displayed as labels on the chart when new signals trigger.
6. Hull Moving Average Trend Cloud
HMA = WMA(2 × WMA(Close, Period/2) - WMA(Close, Period), sqrt(Period))
Period = 600 bars (long-term trend)
The HMA provides a smoothed long-term trend reference that's more responsive than traditional moving averages while filtering out short-term noise.
HOW TO USE THE INDICATOR
Entry Signals
Primary Buy Signal:
SuperTrend changes to green (price crosses above)
ADX shows market is NOT ranging (bars are NOT purple)
Price is within or near a bullish Order Block OR bullish FVG
Cirrus Cloud shows green fill (Layer 1 > Layer 2)
Primary Sell Signal:
SuperTrend changes to red (price crosses below)
ADX shows market is NOT ranging
Price is within or near a bearish Order Block OR bearish FVG
Cirrus Cloud shows red fill (Layer 1 < Layer 2)
Confirmation Layers
Higher Probability Trades Include:
Bullish/Bearish BOS in the same direction as signal
Equal highs/lows being swept before entry
Price respecting premium/discount zones (above/below equilibrium)
Multiple timeframe alignment (use MTF settings)
Exit Strategy
The indicator provides three take-profit levels:
TP1: Conservative target (1:1 risk-reward)
TP2: Moderate target (2:1 risk-reward)
TP3: Aggressive target (3:1 risk-reward)
Suggested Exit Approach:
Close 1/3 position at TP1
Move stop to breakeven
Close 1/3 position at TP2
Trail remaining position or exit at TP3
Risk Management
Stop Loss:
Use the ATR-based stop loss level displayed on chart
Alternatively, use percentage-based stop (adjustable in settings)
Never risk more than 1-2% of account per trade
Position Sizing:
Position Size = (Account Risk $) / (Entry Price - Stop Loss Price)
CUSTOMIZABLE SETTINGS
Core Parameters
Buy/Sell Signals:
Toggle signals on/off
Adjust SuperTrend sensitivity (0.5 - 2.0)
Risk Management:
Show/hide TP/SL levels
ATR period (default: 14)
Risk percentage (default: 3%)
Number of decimal places for price labels
Trend Features:
Cirrus Cloud display toggle
Range filter periods (x1, x2, x3, x4)
Hull MA length for trend cloud
Smart Money Concepts:
Order Block settings (swing length, display count)
Fair Value Gap parameters (auto-threshold, extend length)
Structure detection (internal vs swing)
EQH/EQL threshold
ADX Settings:
ADX length (default: 15)
Sideways threshold (10-30, default: 15)
Bar color toggle
Display Options:
Previous day/week/month high/low levels
Premium/Discount/Equilibrium zones
Trend candle coloring (colored or monochrome)
BEST PRACTICES & TRADING TIPS
Optimal Use Cases
Scalping on lower timeframes (1m, 5m, 15m)
Rapid entry/exit with clear TP levels
ADX filter prevents choppy market entries
Day trading on medium timeframes (30m, 1H)
Stronger trend confirmation
Better risk-reward ratios
Swing trading entries on higher timeframes (4H, Daily)
Higher-probability structural setups
Larger ATR-based stops accommodate volatility
Market Conditions
Best Performance:
Trending markets with clear directional bias
Post-news volatility with defined structure
Markets respecting support/resistance levels
Avoid Trading When:
ADX indicator shows purple bars (ranging market)
Multiple conflicting signals across timeframes
Major news events without clear price structure
Low volume periods (market open/close)
Common Mistakes to Avoid
Ignoring the ADX filter - Taking signals during ranging markets leads to whipsaws
Not waiting for confirmation - Enter only when multiple layers align
Overtrading - Fewer high-quality setups outperform many mediocre ones
Ignoring risk management - Always use the calculated stop losses
Fighting the trend - Trade WITH the SuperTrend and Cirrus Cloud direction
TECHNICAL SPECIFICATIONS
Indicator Type: Overlay (plots on price chart)
Calculation Resources:
Max labels: 500
Max lines: 500
Max boxes: 500
Max bars back: 500
Pine Script Version: 5
Compatible Timeframes: All timeframes (optimized for 1m to 1D)
Compatible Instruments:
Forex pairs
Crypto assets
Stock indices
Individual stocks
Commodities
THEORETICAL FOUNDATION
Trend-Following Concepts
This indicator is based on the principle that markets trend more often than they range, and that trends tend to persist. The SuperTrend component captures this momentum while the range filters prevent premature entries during pullbacks.
Smart Money Theory
The SMC elements are based on the concept that institutional traders (banks, hedge funds) leave footprints in the form of:
Order Blocks: Areas where large orders were placed
Fair Value Gaps: Inefficient price movements that may be revisited
Liquidity Sweeps: Stop hunts before continuation (EQH/EQL)
Volatility-Based Position Sizing
Using ATR for stop-loss placement ensures that stop distances adapt to current market conditions:
Tight stops in low volatility (avoids excessive risk)
Wider stops in high volatility (avoids premature stop-outs)
PERFORMANCE EXPECTATIONS
Realistic Expectations
Win Rate:
Expected: 45-55% (trend-following systems rarely exceed 60%)
Higher win rates on trending days
Lower win rates during consolidation (even with ADX filter)
Risk-Reward Ratio:
Target: 1.5:1 minimum (TP2)
Achievable: 2:1 to 3:1 on strong trends
Drawdowns:
Normal: 10-15% of account during choppy periods
Maximum: Should not exceed 20% with proper risk management
Optimization Tips
Backtesting Recommendations:
Test on at least 1 year of historical data
Include different market conditions (trending, ranging, volatile)
Adjust SuperTrend sensitivity per instrument
Optimize ADX threshold for your specific market
Record trades to identify personal execution errors
FREQUENTLY ASKED QUESTIONS
Q: Can I use this for automated trading?
A: The indicator provides signals, but you'll need to code a strategy script separately for automation. The signals can trigger alerts that connect to trading bots.
Q: Why do I see conflicting signals?
A: This is normal during transition periods. Wait for all confirmation layers to align before entering.
Q: How often should I expect signals?
A: Depends on timeframe and market conditions. On 5m charts during trending markets: 3-7 quality setups per session.
Q: Can I use only some features?
A: Yes, all components can be toggled on/off. However, the system works best with all confirmations active.
Q: What's the difference between internal and swing structures?
A: Internal = minor price structures (smaller pivots). Swing = major price structures (larger pivots). Both provide different levels of confirmation.
DISCLAIMER
This indicator is a tool for technical analysis and should not be the sole basis for trading decisions. Past performance does not guarantee future results. Always:
Use proper risk management
Test on demo accounts first
Never risk more than you can afford to lose
Combine with fundamental analysis when applicable
Understand that no indicator is 100% accurate
License: Mozilla Public License 2.0
Author: DrFXGOD
VERSION HISTORY & UPDATES
Initial Release - Version 1.0
Integrated SuperTrend, Range Filters, ADX, SMC concepts
ATR-based risk management
Multi-timeframe support
Customizable visual elements
SUPPORT & DOCUMENTATION
For questions, suggestions, or bug reports, please comment on the script page or contact the author through TradingView.
Additional Resources:
Smart Money Concepts: Research ICT (Inner Circle Trader) materials
ATR and Volatility: Refer to Wilder's original ATR documentation
SuperTrend Indicator: Study original SuperTrend strategy papers
