Buy/Sell Confirmation by Jalisa RanaeThis custom-built TradingView indicator combines the power of Heikin Ashi candle clarity, smart money concepts, and institutional-level timing tools to help you identify high-probability trade entries with confidence and consistency.
What It Does:
✅ Buy/Sell Signals — Clean, visual markers based on price direction and filtered volatility using a refined range filter
✅ Heikin Ashi Candles — Smooths out market noise to reveal dominant trends and accurate price flow
✅ Power of 3 ICT Zones — Automatically highlights Accumulation, Manipulation, and Distribution phases based on NY session timing — a foundational Smart Money framework
✅ Order Blocks Detection — Automatically plots bullish and bearish order blocks as they form, allowing you to identify institutional footprints and key supply/demand zones
💡 Why This Matters for Day Trading:
Institutional traders move in patterns — accumulation, manipulation, and distribution. Retail traders often get caught in the manipulation phase, entering too late or exiting too early. This script helps you:
✅ Time entries with the market makers, not against them
✅ Avoid emotional trades by giving you visual confirmation zones
✅ Focus only on high-probability setups rooted in real market logic
Whether you're scalping NASDAQ futures or trading Forex pairs, this indicator gives you a powerful visual edge by simplifying complex smart money concepts into actionable signals — all in real time.
📈 Ready to level up your intraday trading precision? Add this tool to your chart, combine it with strong risk management, and step confidently into trades backed by logic, not guesswork.
Indicators and strategies
VWAP + EMA Cross + MACD Signal + POC & Trailing Stop AlertThis indicator combines several key trading signals into one visual tool for intraday and swing trading:
VWAP (Volume Weighted Average Price): Plotted as an orange line to track fair value and intraday trend.
EMA 9/21 Crossovers: Plots BUY/SELL signals based on bullish or bearish EMA crossovers, shown with green and red labels.
MACD Crossovers: Displays MACD↑ and MACD↓ triangle markers to identify momentum shifts.
POC (Point of Control): User-defined static level (default: 56.52) plotted as a blue horizontal line to mark key support/resistance.
Trailing Stop Line: Dynamically trails from the recent high, with a customizable offset. Helps visualize stop-loss levels.
Built-in Alerts: Automatically triggers alerts for:
EMA + MACD crossover confluence (Strong Buy/Sell)
Price crossing above POC
Price falling below the trailing stop
This tool is designed to help traders spot confluence-based entries, momentum shifts, and logical exit zones — all in one overlay indicator.
VWAP + EMA Cross + MACD Signal + POC & Trailing Stop AlertMy indicator combines several key trading signals into one visual tool for intraday and swing trading:
• VWAP (Volume Weighted Average Price): Plotted as an orange line to track fair value and intraday trend.
• EMA 9/21 Crossovers: Plots BUY/SELL signals based on bullish or bearish EMA crossovers, shown with green and red labels.
• MACD Crossovers: Displays MACD↑ and MACD↓ triangle markers to identify momentum shifts.
• POC (Point of Control): User-defined static level (default: 56.52) plotted as a blue horizontal line to mark key support/resistance.
• Trailing Stop Line: Dynamically trails from the recent high, with a customizable offset. Helps visualize stop-loss levels.
• Built-in Alerts: Automatically triggers alerts for:
EMA + MACD crossover confluence (Strong Buy/Sell)
Price crossing above POC
Price falling below the trailing stop
This tool is designed to help traders spot confluence-based entries, momentum shifts, and logical exit zones — all in one overlay indicator.
Pure-ScalpingThe Pure Scalping indicator is a high-precision, momentum-based tool designed specifically for intraday and scalping traders. Built to identify short-term price imbalances, the indicator helps traders catch quick entries and exits during volatile market movements. It focuses on detecting micro-trends, liquidity zones, and reversal signals within tight timeframes like 1-min, 3-min, and 5-min charts.
🔍 Core Features:
Real-time buy/sell signals
Volume and price action confirmation
Minimal lag entries for quick decision-making
Works best in highly liquid instruments (e.g., Nifty, BankNifty, XAUUSD)
Optimized for scalping and fast-paced intraday strategies
Whether you're aiming for 5 to 10 quick trades a day or riding a strong trend for a few minutes, Pure Scalping provides the structure and edge needed to execute with confidence.
Market Timing ModelJust my basic market timing model, based on breadth indicators, as well as the distance from the 50dma on the IWM, with some tweaks. Marking accumulation and distribution days as well.
Key Open LevelsThis Pine Script indicator (Key Open Levels) allows users to highlight up to six specific open prices from different times of the trading day as horizontal lines on the chart.
Each line can be customized with user-defined style, width, and color settings.
Users also have the option to display price labels directly on the lines for added clarity.
The indicator is designed to work seamlessly across all intraday timeframes, including seconds, minutes, and hourly intervals, making it versatile for various trading strategies that rely on key intraday price levels.
This indicator has proved to be a key indicator especially for people studying Futures market reaction around Key Open Levels.
Phoenix AI StrategyUsing Phoenix AI Strategy allows you to fine tune the setting for the Phoenix AI indicator. You can change the settings to see what the outcome would be over a trading range.
You can gage:
Total P&L
Max Equity Drawdown
Total Number of Trades
Profitable Trades
Profit Factor
The Phoenix AI Strategy is a complex trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. At its core, the strategy uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities.
The strategy starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market.
The strategy also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period.
In addition to the moving average channel, the strategy uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels.
The strategy also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken.
The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive.
The strategy also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations.
Overall, the Phoenix AI Strategy is a sophisticated trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. Its combination of volatility, trend, and momentum indicators makes it a versatile and effective tool for traders of all levels.
Each part of the strategy ties into other parts to create a comprehensive trading system. The volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals.
The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken. The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator, making it a key component of the strategy's risk management system.
The logic behind the strategy is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The strategy is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The strategy's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market.
Each indicator used in the strategy is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators.
Overall, the Phoenix AI Strategy is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework
✅ Overview
Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision.
✅ Core Functionality
Multi-Source Independent Signal Inputs
Reversal Logic
Take Profit: up to 5 staggered TP levels, specified as percentage
Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals.
✅ Statistical Drawdown Analysis
For all profitable trades, tracks the maximum intratrade drawdown.
Computes percentile levels of profitable trades that hits minimum drawdowns to inform:
Entry buffer zones (e.g. avoid entering during transient noise)
Partial entry scaling prices.
✅ Signal Confirmation
Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator.
✅ Automated Execution Integrations
Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading.
Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems.
Important Notes
⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs.
⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
rsi indicatorRSIBB Strategy Based on Oversold, Overrbuy Bolinger Band Band. In US 30. Time Indicators is set and the timing is in 5 minutes
An example of Long. When the green marker appears, our entry point is High High If the price fails to reject our High High, our entry will change to the next candlestick. This process will continue until we enter the position.
A marker appears in purple when the green marker appears to us, in which information appears:
The first digit related to the strategist code
The second digit is that we have a few pips to be sure of the candlestick of our entry point
The third digit is our SL that is a coefficient of overall size of yogurt (HIGH - LOW)
Charmin is the digit of our tp that is a coefficient of overall size of yogurt (HIGH - LOW)
In 6 sets
Feigenbaum Projection Zones [ALLDYN]🔷 Feigenbaum Projection Zones
This tool visualizes non-overlapping projection zones above and below a manually defined price range (C.E. – Center Equilibrium) using Feigenbaum constants as spacing multipliers. It’s ideal for traders who prefer structured, mathematically grounded projection layers over standard Fibonacci tools.
📌 Features:
Manual high/low range input (C.E. zone)
Feigenbaum-based zone scaling with interleaved gaps
Color-coded zones (🟥 below CE, 🟩 above CE, 🟨 CE range)
Dotted midlines through each zone
Timeframe-restricted to 15m and below for clarity
Clean label/box/line management for minimal clutter
🔒 Source code is protected to preserve custom zone spacing logic.
🧠 Designed for advanced technical analysts who want mathematical projection zones based on deterministic scaling constants.
🔍 Feigenbaum Projections: Overview
Feigenbaum Projections are derived from chaos theory, specifically Mitchell Feigenbaum’s work on bifurcations and the universality of nonlinear systems. In market terms, they attempt to map fractal or recursive structures in price movements, especially those that might echo repeating patterns in chaotic systems.
✅ Benefits:
Captures fractal and nonlinear dynamics better than Fibonacci.
Self-similarity and scaling laws can offer insights into repeating structures not seen with classical tools.
Can help model transitions between trend and consolidation through bifurcation patterns.
Tied to mathematical constants (Feigenbaum constants), offering theoretical rigor in modeling chaotic price movement.
***Compact chart view to show the full range of the FGBZ Calculations***
Palgo Trading - Palgo🎯THE PALGO INDICATOR
The "Palgo Trading - Palgo" indicator, developed by PALGOTRADING and released under the Mozilla Public License 2.0, is a sophisticated technical analysis tool designed to identify potential buy and sell signals by combining trend analysis with momentum and optional AI-driven sentiment assessment. This indicator provides a clear visual representation of potential trading opportunities directly on the price chart.
At its core, the Palgo indicator synthesizes information from two well-established technical analysis concepts:
Supertrend: This indicator identifies the prevailing trend direction. A positive Supertrend value suggests an upward trend, while a negative value indicates a downward trend. The Palgo indicator utilizes a Supertrend with a multiplier of 3 and a user-configurable Average True Range (ATR) length (defaulting to 10).
Relative Strength Index (RSI): The RSI is a momentum oscillator that measures the speed and change of price movements. The Palgo indicator incorporates the RSI (calculated with the same ATR length as the Supertrend) to gauge the strength of the current price action.
🛜Signal Generation Logic
The indicator generates buy and sell signals based on a calculated "final direction" value. This value is derived by combining the Supertrend direction and a modified RSI. The modification involves scaling the RSI output to a range of -0.5 to 0.5 and then further adjusting it.
The buy and sell conditions are as follows:
Buy Signal: A buy signal is triggered when the "final direction" crosses above a positive activation threshold while the current signal is not already bullish. Upon signal generation, a "Buy" label (colored green) appears below the bar, and initial Take Profit (TP) and Stop Loss (SL) levels are calculated and stored.
Sell Signal: Conversely, a sell signal is triggered when the "final direction" crosses below a negative activation threshold while the current signal is not already bearish. A "Sell" label (colored red) is plotted above the bar, and corresponding TP and SL levels are determined.
🤖AI Integration (Optional):
A unique feature of the Palgo indicator is the optional integration of Artificial Intelligence (AI) sentiment analysis. When the "Use AI" input is enabled, the indicator incorporates two additional user-defined inputs:
Impression Change %: This input represents the percentage change in overall market sentiment as assessed by an external AI.
Positivity Change: This input reflects the change in positive sentiment, also provided by an AI.
These AI inputs are combined to create an "AI Score," which then influences the "final direction" calculation. A positive AI Score amplifies the bullish signals and dampens bearish signals, while a negative AI Score has the opposite effect.
⚙️Visualizations and Customization
The Palgo indicator offers several visual cues to aid traders:
Bar Coloring: The price bars are colored green when the indicator identifies a bullish signal and red during a bearish signal.
Signal Labels: Clear "Buy" and "Sell" labels are plotted at the signal generation points.
Take Profit and Stop Loss Markers: Distinct shapes and labels indicate when the price reaches the calculated TP and SL levels.
Style Options: Users can customize the colors for bullish and bearish bars, text, and TP/SL markers within the indicator's settings.
wma+ tendance🟢 Wma+ tendance– Trend Ribbon with Weighted Moving Averages and Alerts
Description:
Wma+ tendance is a visual trend indicator that uses two Weighted Moving Averages (WMA) – a fast and a slow one – to clearly highlight market direction. It fills the space between the two WMAs with dynamic colors and includes alerts for trend changes.
🟩 Green: Uptrend – the fast WMA is above the slow WMA, and both are rising.
🟥 Red: Downtrend – the fast WMA is below the slow WMA, and both are falling.
⬜ Gray: No clear trend – indicating potential sideways or consolidating price action.
Features:
Trend ribbon visualized between fast and slow WMAs
Alerts for bullish and bearish trend detection
Customizable inputs for MA lengths and price source
Use cases:
Spot early trend formations
Combine with other indicators for confirmation
Adaptable for intraday and swing trading strategies
This script helps traders stay on the right side of the trend with minimal noise and real-time alerts.
Phoenix AI **Phoenix AI — Full System Overview**
Phoenix AI is a **non-repainting, trend-confirming, neural signal-based indicator** that blends classical technical analysis, adaptive volatility logic, and machine-learning-style signal weighting. The system is modular yet interconnected, with each part reinforcing the others to minimize false signals and maximize high-probability trade entries.
🧠 1. Neural Signal Engine
🔸 Components:
***Momentum - (based on RSI deviation from 50)
***Trend - (comparison of EMA 20 vs EMA 50)
***Volatility - (normalized ATR relative to price)
***Volume - (positive or negative delta from previous candle)
Each of these factors is weighted using user-defined inputs:
(momentum * momentumWeight + trend * trendWeight + volatility * volWeight + volume * volumeWeight)
🔸 Role: The output is a **normalized signal strength** between -1 and 1. A value above a dynamic **buy threshold** or below a **sell threshold** is required to validate entries. This engine ensures trades are only taken when multiple market characteristics are aligned.
🔄 2. Adaptive Multiplier Engine
This module uses volatility and trend strength to **dynamically scale sensitivity** across:
* Signal thresholds
* SL/TP levels
* Momentum/trend signal weights
The `getAdaptiveMultiplier()` function calculates a multiplier that scales with recent market volatility or trend strength, depending on user input (`adaptiveMode`):
***Volatility: Reacts to how stretched current price ranges are vs. historical
***Trend: Measures slope difference between fast and slow EMAs
This value feeds into:
***Neural Network input scaling**
***Stop loss and take profit multipliers**
**Signal strength thresholds**
📉 3. Higher Timeframe Filters
To eliminate noise, Phoenix AI includes **multi-timeframe confirmation:
***HTF EMA Channel: Price must be above or below a higher-timeframe EMA
***HTF RSI Zones: Confirms overbought/oversold alignment
***HTF Ichimoku Displacement: Ensures price is above/below both Senkou A and B clouds
These filters ensure the **local signal is aligned with macro trend bias** before triggering a trade.
📊 4. RSI Zones (Volatility-Adjusted)
Phoenix dynamically adjusts RSI bounds for entries based on the current volatility ratio:
rsiBuyLow = 60 - adjustment
rsiBuyHigh = 70 - adjustment
rsiSellLow = 30 + adjustment
rsiSellHigh = 40 + adjustment
This makes the system more **forgiving in low-volatility conditions** and tighter in high-volatility markets — a smart way to avoid overreactions in fast-moving environments.
📈 5. Trend Channel (MA Envelope)
An **EMA channel** is plotted using prior candle high/low data:
* `upperMA` = EMA of highs
* `lowerMA` = EMA of lows
This visual aid highlights the **local trend direction and range**, helping filter entries:
***Buy**: Must close above `upperMA`
***Sell**: Must close below `lowerMA`
It also works in tandem with the reset logic: trades aren't re-enabled until price crosses back within the trend channel.
🧮 6. Signal Conditions Logic
All trade signals must pass **multiple layers of validation**:
✅ Buy Signal:
* Neural signal > threshold
* Price above trend channel (local trend bullish)
* RSI within buy zone
* Above both Senkou A & B (local cloud support)
* Higher timeframe confirmation
* Market volatility stable
✅ Sell Signal:
* Neural signal < -threshold
* Price below trend channel
* RSI in sell zone
* Below both Senkou A & B
* HTF bearish structure
* Market volatility stable
This **multi-confluence logic** filters out bad trades and limits overfitting by ensuring **broad agreement across volatility, momentum, trend, and multi-timeframe structure**.
🛡 7. Risk Management Module
Phoenix AI automatically **draws and scales SL/TP lines** based on ATR and adaptive volatility logic:
* SL = `SL Multiplier × ATR`
* TP1/TP2/TP3 = scaled multiples of ATR
Each is plotted dynamically using `line.new()` on signal confirmation. These are not fixed points but adjust to market state, making this suitable for real-time execution or alerts.
💡 8. Visualization & Labels
* Customizable labels print vital market state info:
* Volatility Ratio (VR)
* RSI ranges
* Neural signal output
* Threshold & adaptive values
This on-chart display gives traders immediate insight into the **internal decision logic** of the algorithm before committing to a trade.
🔔 9. Alerts and Signal Plotting
Phoenix AI issues **TradingView alert conditions** for:
* Buy signals (triangle below candle)
* Sell signals (triangle above candle)
* Each includes price, SL, and all 3 TP targets
These alerts are **bar-confirmed** and use `close `, preventing repainting or forward-looking bias.
🧠 Summary: How Everything Connects
| Module | Purpose | Connected To |
| --------------- | -------------------------------- | ------------------------------------------------ |
| Neural Engine | Signal score | Adaptive scaling, RSI, trend, volatility, volume |
| Adaptive Logic | Scales thresholds & trade levels | Risk management, neural signals |
| RSI Zones | Entry filtering | Volatility ratio |
| Trend Channel | Visual filter + reset | Entry conditions |
| HTF Filters | Trend alignment | Final confirmation |
| Risk Management | SL/TP logic | ATR, volatility ratio, adaptive multiplier |
| Alerts & Labels | Execution + insight | All systems combined |
---------------------------------------------------------------------------------------------------------------------
The Phoenix AI indicator is a modular but tightly integrated trading tool that combines multiple technical indicators and adaptive algorithms to generate buy and sell signals. At its core, the indicator uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities.
The indicator starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market.
The indicator also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period.
In addition to the moving average channel, the indicator uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels.
The indicator also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken.
The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive.
The indicator also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations.
Overall, the Phoenix AI indicator is a powerful trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
In terms of how each part of the indicator ties into other parts, the volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken.
The logic behind the indicator is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The indicator is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The indicator's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market.
Each indicator used in the Phoenix AI indicator is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators.
Overall, the Phoenix AI indicator is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
ATR Overlay with Trailing Flip [ask2maniish]📘 ATR Overlay with Trailing Flip
🔍 Overview
The ATR Overlay with Trailing Flip is a dynamic, visually-enhanced overlay indicator designed to assist traders in trend detection, trailing stop management, and volatility-based decision making. It leverages the Average True Range (ATR) with optional dynamic multipliers, filters, and alerts to enhance trade execution precision.
⚙️ Features Summary
✅ Static & dynamic ATR multiplier
✅ Customizable trailing stop logic
✅ Volume & Bollinger Band filters
✅ Buy/Sell label signals with alerts
✅ ATR bands with color fill
✅ Optional candle coloring based on trend
✅ Table showing current ATR multiplier
✅ Fully customizable visual controls
🔧 User Inputs
📘 Info Panel
ATR Usage Guide
Tooltip with trading-style recommendations:
Scalping: ATR 5–10, Intraday: ATR 10–14 , Swing: ATR 14–21 , Position: ATR 21–50
📊 Visual Elements
📈 Plots
Upper/Lower ATR Bands
ATR Fill Zone
Dynamic Trailing Stop Line
🕯 Candle Coloring
Candles colored green (uptrend) or red (downtrend)
Wick coloring matches body
🏷 Signal Labels
"BUY" below candle when trend flips up
"SELL" above candle when trend flips down
📊 Table (Top Right)
Displays current multiplier value:
If static: Static: x.x
If dynamic: percentage format based on ATR ratio
🔔 Alerts
Two alert conditions:
Flip to Long → "📈 ATR flip to LONG"
Flip to Short → "📉 ATR flip to SHORT"
Sound can be enabled for real-time feedback.
🧠 Best Practices
Combine this tool with support/resistance or order flow indicators
Use dynamic ATR during volatile periods for better adaptability
Filter signals in ranging markets with BBand Width Filter
For scalping, reduce ATR period and multiplier for tighter risk
🛠️ Customization Tips
Adjust trailingPeriod for tighter/looser stops
Use color inputs to match your charting theme
Disable features (labels/fill) to declutter chart
ICT 2022 Mentorship Model StrategyICT 2022 Mentorship Model Strategy
Introduction
This publication introduces the "ICT 2022 Mentorship Model Strategy," a systematic trading approach based on the Inner Circle Trader concepts. Designed for traders looking to identify institutional footprints in the market, this strategy captures high-probability setups by recognizing specific price action sequences.
Overview
The strategy implements the core principles from the ICT 2022 Mentorship model, focusing on a three-step sequence: Liquidity Sweep (LS), Market Structure Shift (MSS) with Displacement, and Entry via Fair Value Gaps (FVG). It's optimized for cryptocurrency markets on the 5-minute timeframe, with optional higher timeframe bias filtering.
Indicators & Libraries:
OrderBlockRefiner : Leverages TFlab's OrderBlockRefiner library for precise setup identification
OrderBlockDrawing : Utilizes TFlab's visualization system for clear market analysis
FVGDetectorLibrary : Employs TFlab's FVG detection algorithm to identify Fair Value Gaps
Strategy Core Components:
Liquidity Sweeps (LS) : Detects when price moves above a swing high or below a swing low, triggering stop orders before reversing
Market Structure Shifts (MSS) : Identifies clear breaks of near-term swing points in the opposite direction to the liquidity sweep
Fair Value Gaps (FVG) : Recognizes three-candle patterns indicating price imbalances, often left behind by strong directional moves
Strategy Settings:
Swing Period : Default at 50, determines the lookback for swing high/low points
FVG Length : Default at 120, sets how long Fair Value Gaps remain active for trading
MSS Length : Default at 80, determines the window for detecting market structure shifts
FVG Filtering : Optional width filter with selectable aggressiveness (Very Aggressive to Very Defensive)
Entry Level : Configurable to Proximal, 50% OB, or Distal positions within the FVG
Entry Methods:
The strategy offers multiple entry approaches to accommodate different trading styles:
Proximal Touch Market : Enters immediately when price touches the FVG boundary
FVG Level Limit Order : Places a limit order at the specified FVG level
Candle Close Inside FVG : Enters only when a candle closes inside the FVG area
Exit Conditions:
Stop Loss Placement : Multiple methods including MSS Swing Point, FVG Distal, Liquidity Sweep Extreme, and more
Take Profit : Risk-to-reward based targets with a default 1.5R setting
Buffer Settings : Configurable stop-loss buffer as a percentage of the risk distance
Risk Management Features:
Time Filtering : Optional trading during specific "Kill Zones" (Asian, London, New York sessions)
HTF Bias Filtering : Option to align trades with higher timeframe trends
Volume Filtering : Ensures FVG creation occurs on significant volume
Consecutive Loss Protection : Automatically pauses trading after 3 consecutive losses for 4 hours
Statistics Dashboard : Real-time performance metrics including win rate, profit factor, and drawdown
The strategy is optimized for BYBIT:BTCUSDT.P and other major cryptocurrency pairs, particularly effective on 5-minute charts for intraday trading. But ofcourse this is also applicable for any markets like stocks, forex, commodities and indicies.
Visual Features:
This implementation includes comprehensive visualization of FVGs, market structure shifts, and liquidity levels. Active trade management displays show entry points, stop-loss levels, and take-profit targets, with color-coded bars during active trades.
I've spent significant time creating this complete implementation of the ICT 2022 Mentorship concepts. The strategy includes robust risk management, flexible entry methods, and advanced filtering options. Feel free to adjust the settings to suit your trading style - detailed tooltips are provided for each parameter.
Acknowledgements:
Special thanks to TFlab for the excellent libraries and the basis of the indicator that power this strategy's core functionality:
- OrderBlockRefiner_TradingFinder
- OrderBlockDrawing_TradingFinder
- FVGDetectorLibrary
Special Thanks to the PH community that is helping me learn, practice, and apply these into my daily trading for free - THE ASCENT!
PS.
Note you can always turn the visuals on or off from the style tab/section of the indicator
For a clean chart, I recommend turning the Background Color of HTF Bias, as well as bar colors to OFF, but for refrence you can always turn it back on.
Also, feel free to customize the colors, lines, background, to your preference.
Disclaimer
This strategy is shared for educational purposes only and must be thoroughly tested under diverse market conditions. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor. The effectiveness of this strategy can change with market conditions - what works in one period may not work in another. Always use proper risk management.
Soros Scalper PRO+ [v6 Elite Edition]Soros script goes off trend patterns and ema support and resistance
Levels & Flow📌 Overview
Levels & Flow is a visual trading tool that combines daily pivot levels with a dynamic EMA ribbon to help traders identify structure, momentum, and key decision zones in the market.
This script is designed for discretionary traders who rely on clean visual cues for intraday and swing trading strategies.
⚙️ Key Features
Daily Pivot, Support, and Resistance Lines
Automatically plots the daily pivot level based on the previous day’s OHLC data, along with calculated support and resistance levels.
Fibonacci Retracement Levels
Two dashed lines above and below the pivot represent the retracement of the pivot-resistance and pivot-support range, forming the boundaries of the “no-trade zone.”
No-Trade Zone (Shaded Box)
A gray shaded box between the two Fibonacci levels to visually mark a high-chop/low-conviction zone.
Trend-Based Candle Coloring (Current Day Only)
Candles are colored green if the close is above the pivot, red if below (only on the current trading day).
Bullish/Bearish Trend Label
A small table in the bottom-right corner displays “Bullish” or “Bearish” depending on whether price is above or below the pivot.
20-EMA Gradient Ribbon
A stack of 20 EMAs, each smoothed and color-coded from blue to green to reflect short- to long-term trend alignment.
Cumulative EMA with Adaptive Weighting
An intelligent moving average line that adjusts weight distribution among the 20 EMAs based on recent predictive accuracy using a learning rate and lookback period.
🧠 How It Works
📍 Levels
The script calculates daily pivot, resistance, and support levels using standard formulas:
Pivot = (High + Low + Close) / 3
Resistance = (2 × Pivot) – Low
Support = (2 × Pivot) – High
These levels update each day and extend 143 bars to the right.
📏 Fib Lines
Fib Up = Pivot + (Resistance – Pivot) × 0.382
Fib Down = Pivot – (Pivot – Support) × 0.382
These lines form the “no-trade zone” box.
📈 EMA Ribbon
20 EMAs starting from the user-defined Base Length, each incremented by 1
Each EMA is smoothed using the Smoothing Period
Color-coded from blue to green for intuitive visual flow
Filled between EMAs to visualize trend strength and alignment
🧠 Cumulative EMA Learning
Each EMA’s historical error is calculated over a Lookback Period
Lower-error EMAs receive higher weight; weights are normalized to sum to 1
The result is a cumulative EMA that adapts based on historical predictive power
🔧 User Inputs
Input
Base EMA Length: Sets the period for the shortest EMA (default: 20)
Smoothing Period: Smooths all EMAs and the cumulative EMA
Lookback for Learning: Number of bars to evaluate EMA prediction accuracy
Learning Rate: Adjusts how quickly weights shift in favor of more accurate EMAs
✅ How to Use It
Use the pivot level to define directional bias.
Watch for price breakouts above resistance or breakdowns below support to consider entry.
Avoid trading inside the shaded zone, where direction is less reliable.
Use the EMA ribbon gradient to confirm short/long alignment.
The cumulative EMA helps define trend with noise reduction.
🧪 Best For
Intraday traders who want to blend structure with flow
Swing traders needing clean daily levels with dynamic confirmation
Anyone looking to avoid choppy zones and improve visual clarity
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always test scripts in simulation or on demo accounts before live use. Use at your own risk.
Ultimate Minute Marker Pro V4Mark individual minutes using Algo path. Added 9 time slots with customizable options.
Separators & Liquidity [K]Separators & Liquidity is a versatile indicator that helps you instantly visualize key liquidity levels:
Time Separators & Labels: Draw daily, weekly and monthly separators—including customizable line styles and weekday labels, to clearly segment your chart.
Intraday Time Based Liquidity: Draw Session Highs and Lows below a "max timeframe” (e.g. 1 hour), using distinct, user-configurable colors and line styles.
Time Based Liquidity: Draw Previous Day, Week and Month Highs and Lows
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend.
For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals.
We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud.
This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
Buy sell ATR Bollinger [vivekm8955]Buy Sell ATR Bollinger
This script combines Bollinger Bands with an optional ATR-based filter to generate high-probability Buy/Sell signals with trend confirmation.
🔹 Buy Signal: Price breaks above the upper Bollinger Band and trend flips bullish.
🔹 Sell Signal: Price drops below the lower Bollinger Band and trend flips bearish.
🔹 ATR Filter (Optional): Smoothens signals by filtering out weak breakouts based on volatility.
🔹 Visual Aids: Color-coded trend bands (Yellow for bullish, Red for bearish) with clean BUY/SELL labels.
🔹 Alerts Enabled: Get notified on signal generation.
✅ Suitable for intraday and swing traders
✅ Works across all timeframes
✅ Fully customizable inputs
trade safe with risk management! Happy trading!!
DeltaWise Market Structures V3Deltawise uses Market Structure Pivots to determine the exits of the trading positions. Feel free to use this tool, if you like customized timeframes please contact me at info@deltawise.ai
