Multi-Timeframe High/Low MarkerDescription
This indicator displays the previous period's high and low price levels from up to three different timeframes simultaneously. Lines extend from the previous period through the current period, providing clear visual reference points for key price levels across multiple time horizons.
Utility
Identify price ranges and key levels from multiple periods.Reduce chart switching by displaying multiple ranges on a single chart.
Function
Track up to 3 different timeframes simultaneously (default: 1H, 4H, Daily)
Customize each timeframe's high and low line colors, width, and style (solid/dashed/dotted)
Optional current period opening price display for each timeframe
Smart overlap detection prevents duplicate lines when multiple timeframes share the same price level
Each timeframe can be individually enabled or disabled
All visual elements fully customizable through indicator settings
Priceaction
Live Inside Bar ColoringDescription
This script colors the current bar if it is inside the prior bar's high and low. Inside is defined as ≤ the high, and ≥ the low of the prior bar.
Utility
This gives a quick visual indication if the current bar is inside. This can indicate a choppier market. By definition, an inside bar is consolidating and not trending.
Function
Colors distinguish if the current price is above the opening price of the inside bar on a given timeframe. If you do not want to distinguish this, you can set both colors the same.
Turbo Market Regime Detector [QuantAlgo]The Turbo Market Regime Detector is a market state classification system that combines volatility-adaptive filtering with slope analysis to identify and categorize market regimes. It helps traders and investors distinguish between trending and ranging market conditions across different timeframes and asset classes.
🟢 Technical Foundation
The Turbo Market Regime Detector employs a multi-layered analytical approach to market regime identification, incorporating:
Volatility-Adaptive Regime Filter (VARF) : Uses dynamic alpha calculation based on price volatility and range to create an adaptive filter that responds to changing market conditions
Slope Analysis : Calculates the absolute slope of the VARF curve and applies customizable moving average smoothing to determine trend strength and market regime classification
Normalized Histogram : Transforms raw slope data into percentage-based metrics (0-100%) for interpretation of market conditions
Multi-Threshold Classification System : Implements user-defined thresholds to categorize markets into Strong Trend, Weak Trend, and Ranging regimes
The indicator processes price data through mathematical operations including volatility adjustment, slope normalization, and statistical range analysis. This creates a regime detection system that adapts to market volatility while maintaining classification consistency across different timeframes and asset classes.
🟢 Key Features & Signals
1. Market Regime Classification
The indicator presents market conditions through a normalized histogram that distinguishes between three distinct market states:
1/ Strong Trend Regime: When the histogram exceeds the strong trend threshold (default 30%), indicating directional market movement with sustained momentum
2/ Weak Trend Regime: When the histogram falls between weak trend (default 10%) and strong trend thresholds, representing transitional market conditions with moderate directional bias
3/ Ranging Regime: When the histogram remains below the weak trend threshold, signaling consolidation periods with limited directional movement
This classification system provides insights into:
→ Current market state with percentage-based quantification
→ Regime transitions and their timing
→ Market momentum strength across different timeframes
2. Visual Feedback System
The indicator features multiple visualization options for market analysis:
Background Coloring: Optional chart background coloring that applies regime-based colors to both the indicator pane and main price chart for visual context
Bar Coloring: Price bar coloring based on current market regime, providing visual feedback on market conditions
Reference Lines: Horizontal reference lines at 25%, 50%, 75%, and 100% levels for percentage assessment and historical comparison
Information Table: Real-time status display showing current market state and trend strength percentage with customizable positioning and sizing options
3. Alert and Notification System
The indicator generates alerts for regime transitions:
State Change Alerts: Notifications triggered when the market transitions between regime states (Strong Trend ↔ Weak Trend ↔ Ranging)
Specific Regime Entry Alerts: Individual alert conditions for entering Strong Trend, Weak Trend, or Ranging regimes for targeted trading strategies
Customizable Alert Messages: Pre-formatted alert messages including exchange and ticker information for context and decision-making
🟢 Practical Usage Guidelines
→ Regime-Based Strategy Selection: Use the indicator to identify potential trading strategies - trend-following during Strong Trend regimes, mean-reversion during Ranging periods, and adjusted position sizing during Weak Trend transitions
→ Multi-Timeframe Analysis: Apply the indicator across different timeframes to understand market regime hierarchy and identify confluence between short-term and long-term market states
→ Threshold Optimization: Adjust regime thresholds based on market volatility and asset characteristics - lower thresholds for more sensitive regime detection, higher thresholds for more definitive regime changes
🟢 Configuration Tips
VARF settings optimization:
→ Lower thresholds (-0.3 to -0.5) for more responsive regime detection in volatile markets
→ Higher thresholds (-0.1 to 0.1) for smoother signals in stable market conditions
→ Enable adaptive VARF for automatic volatility adjustment across different market cycles
Slope analysis parameter tuning:
→ Shorter MA lengths (100-200) for faster regime transition signals
→ Longer MA lengths (300-500) for more stable regime identification
→ Adjust sensitivity multiplier based on desired responsiveness vs. stability balance
Regime interpretation framework:
→ Strong Trend regimes for momentum-based strategies and trend following
→ Ranging regimes for mean-reversion and support/resistance trading
→ Weak Trend periods for reduced position sizing and cautious market approach
Complementary analysis integration:
→ Volume analysis for regime change confirmation
→ Support/resistance levels for entry/exit timing within regime contexts
→ Price action patterns for validation of regime-based trading decisions
→ Economic calendar events that may influence regime transitions
HTF High/Low Targets This script plots the previous Highs and Lows of the 1HR, 4HR, Daily, and Weekly timeframes.
Each level is color-coded, extends across the chart, and includes labels to help you spot key areas of past support and resistance.
Use this tool to:
- Confirm intraday price reactions at HTF zones
- Identify high-probability reversal or breakout areas
- Get notified with built-in alerts when price crosses a level
You can toggle each timeframe level on/off in the settings panel.
Great for:
- Day traders and scalpers who trade off 1-minute or 5-minute charts
-Swing traders looking for confluence with HTF zones
- Anyone using a multi-timeframe analysis approach
Created by @mychaellesliemedia.
Auto Price Action SR Levels by Chaitu50cAuto Price Action SR Levels by Chaitu50c:
This is a session-based support and resistance indicator that identifies price levels based on actual candle activity, without relying on traditional indicators. It works by clustering open, high, low, or close values of past candles that frequently occur within a defined price range, making it a reliable price action-based tool for intraday traders.
The indicator calculates these levels at the start of each new trading session (based on NSE 09:15 time) and keeps them static throughout the session. This avoids unnecessary noise or flickering due to live price action, giving traders consistent zones to work with during the day.
FEATURES:
* Automatic detection of support and resistance levels based on candle price hits
* Cluster formation using high/low or open/close logic
* Static levels: calculated once per session and remain unchanged until the next session
* Adjustable settings for:
* Cluster range (in points)
* Number of lookback candles
* Line width
* Line color (default: black)
* Minimalist design for a clean chart experience
HOW IT WORKS:
The indicator looks back over a defined number of candles at the beginning of each session. It clusters prices that fall within a specified range (e.g., 250 points) and counts how many times they appear as open, high, low, or close values. If a price level is hit at least once (default), it is considered significant and a line is plotted.
Because clustering is done once per session, the lines do not shift during the session. This allows traders to base decisions on fixed, stable levels formed by prior market structure.
RECOMMENDED FOR:
* Intraday traders
* Price action traders
* Traders who prefer clean charts with logical SR zones
* Nifty, BankNifty, and stock-based day trading
Created by Chaitu50c for traders who rely on logic and structure, not signals.
Disclaimer:
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Use at your own discretion and always manage risk responsibly.
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Let me know if you’d like to include use-case examples or screenshots before publishing.
Megazones📦 Megazones — Auto-Expanding Range Detection
Megazones is a dynamic tool that detects price expansion ranges based on pivot structure. It automatically plots a pair of horizontal lines when both pivot highs and pivot lows are expanding — signaling directional strength and potential breakout zones.
🧠 How It Works:
- Pivot Detection: The script finds local highs/lows using a configurable Pivot Lookback length.
- Expansion Logic: It checks for consecutive higher highs and higher lows (configurable count).
- Zone Projection: When both expansions are detected, it draws a fading "zone" using two horizontal lines based on the latest pivot high and low.
⚙️ Settings:
- Pivot Lookback: How far left/right to confirm a pivot.
- Expansion Detection Window: How many bars back to keep pivots in memory.
- Min Expanding Highs/Lows: How many higher highs/lows must occur in a row to trigger zone detection.
🔍 Key Concept:
It identifies moments when the market is forming a structured expansion, where both higher highs and higher lows appear sequentially — suggesting potential breakout pressure or momentum continuation.
✅ Use Cases:
- Visual confirmation of building bullish structure.
- Anticipating breakout areas from clean expansion phases.
- Identifying trend-following continuation zones.
Breakout Indicator + OB & FVG📈 Breakout Indicator + OB & FVG
This script is designed to assist with identifying potential breakout zones following periods of low volatility or price consolidation. It integrates price structure analysis with optional lunar phase filtering for enhanced visual insights.
🔍 Key Features
Consolidation Detection: Automatically identifies price ranges with low volatility over a user-defined lookback period.
Breakout Signals: Highlights potential breakout zones when price moves beyond consolidation range highs or lows.
Take-Profit & Stop-Loss Levels: Automatically calculates three TP levels and one SL level based on user-defined multipliers.
Lunar Filter (Optional): Applies a visual overlay during full moon phases as a unique experimental timing filter.
Visual Elements:
Entry/TP/SL levels shown on chart with colored lines and labels.
Consolidation zones shaded with customizable colors.
Dynamic panel with volatility metrics and last signal info.
⚙️ Inputs & Customization
Adjustable lookback period, volatility threshold, and risk multipliers.
Optional lunar phase aggression multiplier.
Full customization of zone colors, label visibility, and transparency.
📌 Disclaimer
This indicator is a visual tool for analysis and does not provide financial advice or guaranteed outcomes. Its purpose is to support discretionary decision-making, not replace it. Past signals do not guarantee future performance. Always test tools thoroughly and use appropriate risk management.
🧠 Developer Notes
Based on simple volatility and price action mechanics.
The lunar filter is symbolic and not based on real astronomical data.
No repainting or future leaks; signals are generated based on confirmed candle closes.
Silver Bullet 5 minutes Box - By KaVeHThis indicator plots high-low range boxes based on selected intraday time windows on the 5-minute chart. It's inspired by the "Silver Bullet" trading concept, highlighting key liquidity grabs and volatility pockets at predefined times. It helps traders visually identify potential smart money trading windows during the New York session and other time anchors.
⚠️ This script only works on the 5-minute chart.
📦 Main Features:
⏰ Customizable Time Boxes:
Define up to 4 separate time windows per day:
3:00 AM – 3:05 AM (New York time) (Box 1)
10:00 AM – 10:05 AM (New York time) (Box 2)
2:00 PM – 2:05 PM (New York time) (Box 3)
8:00 PM – 8:05 PM (New York time) (Box 4)
🎨 Color and Visibility Control:
Each box can be independently toggled and colored for visual distinction.
🕔 New York Time Based:
All timestamps are automatically adjusted to New York Time, aligning with institutional market behavior.
📉 Post-Box Projection:
After each time window closes, a box extends forward 6 hours (72 bars on a 5-minute chart) to highlight the range.
💡 Use Case:
These boxes are best used to:
Detect liquidity sweeps.
Mark potential entry or exit zones.
Track price behavior after specific time-based events.
For example, the 10 AM box is often used to identify setups just after the NYSE open and into the first hour of volatility.
⚠️ TradingView Compliance Notes:
This script is original and does not replicate or resell premium/paid indicators.
All logic is coded from scratch by kaveh_mirmousavi, using public concepts from ICT/Smart Money Trading.
Fully complies with the Mozilla Public License 2.0.
Does not include financial advice or signals — for educational use only.
✅ How to Use:
Apply to a 5-minute chart.
Adjust the desired time boxes in the input panel.
Watch for price action within and after the boxes.
Enjoy and feel free to share feedback or ideas for improvement!
GapCluster SR For Intraday by Chaitu50c**GapCluster SR For Intraday by Chaitu50c**
**Overview**
GapCluster SR plots dynamic intraday support and resistance lines based on candle-to-candle gaps. Whenever an Open/Close or High/Low gap is detected, the script draws a horizontal level and “clusters” nearby gaps into a single line to keep your chart clean. Lines automatically color-code relative to price—green when below, red when above.
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**Key Features**
* **Gap Detection Modes**: Choose between Open/Close gaps (default) or High/Low gaps.
* **Clustering**: Merge levels within a user-defined vertical range to avoid clutter.
* **Dynamic Coloring**: Levels below price turn green; levels above price turn red.
* **Session Reset**: Automatically removes levels older than X days.
* **Fully Customizable**: Adjust buffer, cluster range, line width, lookback period, and both above/below colors.
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**Inputs**
| Input | Default | Description |
| ---------------------------- | :--------: | ------------------------------------------- |
| Gap Type | Open/Close | Select gap detection method |
| Price Buffer (points) | 5.0 | Maximum distance for gap matching |
| Cluster Range (points) | 100.0 | Vertical distance within which levels merge |
| Line Width | 2 | Thickness of plotted lines |
| Days to Include | 14 | Number of days to retain past levels |
| Color for Levels Above Price | red | Line color when level > current price |
| Color for Levels Below Price | green | Line color when level < current price |
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**How to Use**
1. **Add to Chart**: Apply on any intraday timeframe (1 min, 5 min, etc.).
2. **Select Mode**: Pick Open/Close or High/Low in settings.
3. **Tweak Inputs**: Raise/lower buffer for tighter/looser gap detection; adjust cluster range to group levels; change lookback (“Days to Include”) to control session reset.
4. **Interpret Levels**:
* **Green Lines** mark potential support zones.
* **Red Lines** mark potential resistance zones.
5. **Combine with Your Strategy**: Use alongside volume, momentum, or trend filters for confirmation.
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**Tips & Tricks**
* **Intraday Entries**: Look for price reaction at green (support) lines for long setups, or red (resistance) lines for shorts.
* **Filter Noise**: Increase the “Cluster Range” to consolidate many close levels into stronger, singular lines.
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**Disclaimer**
This indicator is provided “as-is” for educational purposes only. Always backtest any setup and practice proper risk management.
Balanced Price Range | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Balanced Price Range (BPR) indicator! A Balanced Price Range is a trading concept used by price action traders. It is detected by finding overlapping area between two contrary Fair Value Gaps (FVGs). These areas can be used as entry points during market pullbacks. For more information about the process, please check the "HOW DOES IT WORK ?" section.
Balanced Price Range Features :
Balanced Price Range Detection : Identifies areas where bullish and bearish FVGs overlap, suggesting a zone of price equilibrium.
Customizable FVG & BPR Detection : You can fine-tune FVG detection and sensitivity for BPR detection to your liking.
Retest Labels : Bullish & Bearish retest labels will be rendered for BPRs.
Alerts : You can set alerts for Bullish & Bearish BPR detection and their retests.
🚩 UNIQUENESS
This indicator doesn't just detect standard FVGs but specifically looks for areas where bullish and bearish IFVGs (Invalidated Fair Value Gaps) overlap, defining a Balanced Price Range. It also actively manages and updates identified BPR zones, removing them when they are invalidated or remain untouched for a specified period. It highlights and alerts users to retests of established BPR zones, signaling potential trading opportunities. Users can tailor the appearance of the BPR zones and retest markers, as well as configure specific alerts for new BPR formations and retests.
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. The indicator first detects bullish & bearish FVG zones according to their formations on chart. Then, they are dynamically tracked and flagged as invalidated if the price crosses them, turning them into IFVGs. When a FVG & IFVG of the same type overlaps, the indicator combines them into a single BPR of corresponding type. The detected BPR is updated as new data comes in, and renders retests labels as they occur. A bullish BPR can be used to find long trade entry opportunities, while a bearish BPR can be used to find short trade entry opportunities. Retests can also indicate potential movements in the corresponding direction of the BPR. Users can set-up alerts for BPR detection & BPR retests and will get notified as they occur.
⚙️ SETTINGS
Show Historic Zones: If enabled, invalidated or expired BPR zones will remain visible on the chart.
Balanced Price Range:
FVG Detection Method: Determines the criteria for the bar types forming the initial FVG.
Same: All three bars forming the FVG must be of the same type (all bullish or all bearish).
Mixed: The bar types must vary (a mix of bullish and bearish bars).
All: Bar types can vary or be the same.
FVG Invalidation Method: Determines which part of the candle (wick or close) invalidates the initial FVG.
BPR Invalidation Method: Determines which part of the candle (wick or close) invalidates the Balanced Price Range.
Sensitivity: Adjusts the sensitivity of FVG detection. Higher values may identify fewer, larger BPRs, while lower values may detect more, smaller BPRs.
Labels: Toggles the display of text labels on the identified zones.
Retests: Enables or disables the detection and visualization of BPR retests.
Multi-Indicator Swing [TIAMATCRYPTO]v6# Strategy Description:
## Multi-Indicator Swing
This strategy is designed for swing trading across various markets by combining multiple technical indicators to identify high-probability trading opportunities. The system focuses on trend strength confirmation and volume analysis to generate precise entry and exit signals.
### Core Components:
- **Supertrend Indicator**: Acts as the primary trend direction filter with optimized settings (Factor: 3.0, ATR Period: 10) to balance responsiveness and reliability.
- **ADX (Average Directional Index)**: Confirms the strength of the prevailing trend, filtering out sideways or choppy market conditions where the strategy avoids taking positions.
- **Liquidity Delta**: A volume-based indicator that analyzes buying and selling pressure imbalances to validate trend direction and potential reversals.
- **PSAR (Optional)**: Can be enabled to add additional confirmation for trend changes, turned off by default to reduce signal filtering.
### Key Features:
- **Flexible Direction Trading**: Choose between long-only, short-only, or bidirectional trading to adapt to market conditions or account restrictions.
- **Conservative Risk Management**: Implements fixed percentage-based stop losses (default 2%) and take profits (default 4%) for a positive risk-reward ratio.
- **Realistic Backtesting Parameters**: Includes commission (0.1%) and slippage (2 points) to reflect real-world trading conditions.
- **Visual Signals**: Clear buy/sell arrows with customizable sizes for easy identification on the chart.
- **Information Panel**: Dynamic display showing active indicators and current risk settings.
### Best Used On:
Daily timeframes for cryptocurrencies, forex, or stock indices. The strategy performs optimally on assets with clear trending behavior and sufficient volatility.
### Default Settings:
Optimized for conservative position sizing (5% of equity per trade) with an initial capital of $10,000. The backtesting period (2021-2023) provides a statistically significant sample of varied market conditions.
Delta AO + Regular AO (Normalized)🔀 Delta AO + Regular AO (Normalized) – Visualizing Market moods becomes simpler 🔀
🧠 Introduction
The Delta AO + Regular AO (Normalized) is a custom oscillator that fuses the power of classic momentum analysis with volume-derived delta flow to give traders a dual-perspective edge.
This tool was born from a need to better visualize internal market thrust (via delta) while still respecting the time-tested signal power of the traditional Awesome Oscillator (AO).
🔍 What makes it unique?
✅ Volume-based Delta Calculation – Models upward/downward delta using a custom volatility-weighted volume allocation method, not simple tick-delta or raw buys/sells.
✅ Cumulative Delta Candles – Instead of just plotting bars, the indicator rebuilds the market structure using cumulative delta logic.
✅ Dual AO Display – Shows both custom delta AO and traditional price AO simultaneously.
✅ Normalized Scaling – Each AO is independently normalized by its standard deviation (volatility-adjusted), making both indicators visually comparable without distortion.
🧮 Under the Hood
Let’s break down the components:
1. Delta Logic 📊
Rather than using raw delta or tick-level data, this script simulates net effort:
Delta Up = Volume × a smart weighting when the candle is bullish
Delta Down = Volume × weighting when the candle is bearish
The weighting dynamically adjusts based on candle body-to-wick ratio. This provides a more refined delta estimate based on candle structure.
This delta is accumulated (cumulative delta) and used to form a synthetic OHLC candle structure.
2. AO Calculations ⚖️
Custom AO: Calculated from the median of synthetic delta candles
Regular AO: Classic (median price 5-period SMA - 34-period SMA)
Both are normalized using their own 34-bar standard deviation, improving comparability and visualization in one pane.
3. Color Coding 🎨
For the delta AO histogram:
Lime: Bullish + Increasing Momentum
Green: Bullish + Weakening Momentum
Red: Bearish + Increasing Momentum (to the downside)
Maroon: Bearish + Weakening Momentum
This lets you immediately spot momentum shifts and strength behind volume-based moves.
📈 How to Use – Trading Guide
🔧 Recommended Setup:
Timeframe: Works well on all intraday and higher timeframes (5m–1D)
Symbol: Especially effective on liquid instruments (futures, indices, large caps)
✅ Entry Signals
🔹 Buy Setup
Delta AO turns green or lime above zero, and Regular AO is also rising
Ideal confirmation: Lime bar (strong bullish delta momentum) and a crossover above zero
🔹 Sell Setup
Delta AO turns maroon or red below zero, and Regular AO is also falling
Ideal confirmation: Red bar (strong bearish delta momentum) and AO falling further below zero
🔄 Momentum Confirmation
Look for divergence between the Delta AO and Regular AO.
🔼 If Delta AO is rising but Regular AO is flat or falling → Volume is leading price (possible breakout ahead)
🔽 If Regular AO is strong but Delta AO fades → Price may be unsustainable (fakeout risk)
🛑 Exit / Reversal Clues
Sudden color shifts (e.g., Lime → Green → Maroon) can signal momentum exhaustion
Both AOs converging to zero suggests consolidation phase ahead
📌 Pro Tips
Use this with volume profile, support/resistance, or market structure zones for maximum confluence
Works great as a secondary confirmation tool for your existing strategy
💬 Final Thoughts
This oscillator is not just a pretty double AO — it's a strategic fusion of price and volume time-series designed to help you anticipate shifts before they’re obvious in price alone.
If you're looking for:
A modernized AO
Volume-integrated signal clarity
Normalized, noise-filtered momentum visual
Then this tool belongs in your chart arsenal.
📈 Try it. Test it. Pair it. If you find value, consider sharing or following for more next-gen indicators.
Please note this is an educational idea and past performance is not assurance of future performance.
Happy trading!
— @Pratik_4Clover
Dealing rangeHi all!
This indicator will show you the current dealing range. The concept of dealing range comes from the inner circle trader (ICT) and gives you a range between an established swing high and an established swing low (the length of these pivots can be changed in settings parameter Length and defaults to 5/2 (left/right)). These swing points must have taken out liquidity to be considered "established". The liquidity that must be grabbed by the swing point has to be a pivot of left length of 1 and a right length of 1.
The dealing range that's created should be used in conjunction with market structure. This could be done through scripts (maybe the Market structure script that I published ()) or manually. It's a common approach to look for long opportunities when the trend is bullish and price is currently in the discount zone of the dealing range. If the trend is bearish then short opportunities are presented when the price is currently in the premium zone of the dealing range.
The zones within the dealing range are premium and discount that are split on the 50% level of the dealing range. These zones can be split into 3 zone with a Fair price (also called Fair value ) zone in between premium and discount. This makes the premium zone to be in the upper third of the dealing range, fair price in the middle third and discount in the lower third. This can be enabled in the settings through the Fair price parameter.
Enabled:
You can choose to enable/disable the visualisation of liquidity grabs and the External liquidity available above and below the swing points that created the dealing range.
Enabled:
Disabled:
Enabled on a higher timeframe (will display a box of the liquidity grab price instead of a label):
This dealing range is configurable to be created by a higher timeframe then the visible charts. Use the setting Higher timeframe to change this.
You can force candles to be closed (for liquidity and swing points). Please note that if you use a higher timeframe then the visible charts the candles must be closed on this timeframe.
Lastly you can also change the transparency of liquidity grabs and external liquidity outside of the dealing range. Use the Transparency setting to change this (a lower value will lead to stronger visuals).
If you have any input or suggestions on future features or bugs, don't hesitate to let me know!
Best of trading luck!
Entropy Chart Analysis [PhenLabs]📊 Entropy Chart analysis -
Version: PineScript™ v6
📌 Description
The Entropy Chart indicator analysis applies Approximate Entropy (ApEn) to identify zones of potential support and resistance on your price chart. It is designed to locate changes in the market’s predictability, with a focus on zones near significant psychological price levels (e.g., multiples of 50). By quantifying entropy, the indicator aims to identify zones where price action might stabilize (potential support) or become randomized (potential resistance).
This tool automates the visualization of these key areas for traders, which may have the effect of revealing reversal levels or consolidation zones that would be hard to discern through traditional means. It also filters the signals by proximity to key levels in an attempt to reduce noise and highlight higher-probability setups. These dynamic zones adapt to changing market conditions by stretching, merging, and expiring based on user-inputted rules.
🚀 Points of Innovation
Combines Approximate Entropy (ApEn) calculation with price action near significant levels.
Filters zone signals based on proximity (in ticks) to predefined significant price levels (multiples of 50).
Dynamically merges overlapping or nearby zones to consolidate signals and reduce chart clutter.
Uses ApEn crossovers relative to its moving average as the core trigger mechanism.
Provides distinct visual coloring for bullish, bearish, and merged (mixed-signal) zones.
Offers comprehensive customization for entropy calculation, zone sensitivity, level filtering, and visual appearance.
🔧 Core Components
Approximate Entropy (ApEn) Calculation : Measures the regularity or randomness of price fluctuations over a specified window. Low ApEn suggests predictability, while high ApEn suggests randomness.
Zone Trigger Logic : Creates potential support zones when ApEn crosses below its average (indicating increasing predictability) and potential resistance zones when it crosses above (indicating increasing randomness).
Significant Level Filter : Validates zone triggers only if they occur within a user-defined tick distance from significant price levels (multiples of 50).
Dynamic Zone Management : Automatically creates, extends, merges nearby zones based on tick distance, and removes the oldest zones to maintain a maximum limit.
Zone Visualization : Draws and updates colored boxes on the chart to represent active support, resistance, or mixed zones.
🔥 Key Features
Entropy-Based S/R Detection : Uses ApEn to identify potential support (low entropy) and resistance (high entropy) areas.
Significant Level Filtering : Enhances signal quality by focusing on entropy changes near key psychological price points.
Automatic Zone Drawing & Merging : Visualizes zones dynamically, merging close signals for clearer interpretation.
Highly Customizable : Allows traders to adjust parameters for ApEn calculation, zone detection thresholds, level filter sensitivity, merging distance, and visual styles.
Integrated Alerts : Provides built-in alert conditions for the formation of new bullish or bearish zones near significant levels.
Clear Visual Output : Uses distinct, customizable colors for buy (support), sell (resistance), and mixed (merged) zones.
🎨 Visualization
Buy Zones : Represented by greenish boxes (default: #26a69a), indicating potential support areas formed during low entropy periods near significant levels.
Sell Zones : Represented by reddish boxes (default: #ef5350), indicating potential resistance areas formed during high entropy periods near significant levels.
Mixed Zones : Represented by bluish/purple boxes (default: #8894ff), formed when a buy zone and a sell zone merge, indicating areas of potential consolidation or conflict.
Dynamic Extension : Active zones are automatically extended to the right with each new bar.
📖 Usage Guidelines
Calculation Parameters
Window Length
Default: 15
Range: 10-100
Description: Lookback period for ApEn calculation. Shorter lengths are more responsive; longer lengths are smoother.
Embedding Dimension (m)
Default: 2
Range: 1-6
Description: Length of patterns compared in ApEn calculation. Higher values detect more complex patterns but require more data.
Tolerance (r)
Default: 0.5
Range: 0.1-1.0 (step 0.1)
Description: Sensitivity factor for pattern matching (as a multiple of standard deviation). Lower values require closer matches (more sensitive).
Zone Settings
Zone Lookback
Default: 5
Range: 5-50
Description: Lookback period for the moving average of ApEn used in threshold calculations.
Zone Threshold
Default: 0.5
Range: 0.5-3.0
Description: Multiplier for the ApEn average to set crossover trigger levels. Higher values require larger ApEn deviations to create zones.
Maximum Zones
Default: 5
Range: 1-10
Description: Maximum number of active zones displayed. The oldest zones are removed first when the limit is reached.
Zone Merge Distance (Ticks)
Default: 5
Range: 1-50
Description: Maximum distance in ticks for two separate zones to be merged into one.
Level Filter Settings
Tick Size
Default: 0.25
Description: The minimum price increment for the asset. Must be set correctly for the specific instrument to ensure accurate level filtering.
Max Ticks Distance from Levels
Default: 40
Description: Maximum allowed distance (in ticks) from a significant level (multiple of 50) for a zone trigger to be valid.
Visual Settings
Buy Zone Color : Default: color.new(#26a69a, 83). Sets the fill color for support zones.
Sell Zone Color : Default: color.new(#ef5350, 83). Sets the fill color for resistance zones.
Mixed Zone Color : Default: color.new(#8894ff, 83). Sets the fill color for merged zones.
Buy Border Color : Default: #26a69a. Sets the border color for support zones.
Sell Border Color : Default: #ef5350. Sets the border color for resistance zones.
Mixed Border Color : Default: color.new(#a288ff, 50). Sets the border color for mixed zones.
Border Width : Default: 1, Range: 1-3. Sets the thickness of zone borders.
✅ Best Use Cases
Identifying potential support/resistance near significant psychological price levels (e.g., $50, $100 increments).
Detecting potential market turning points or consolidation zones based on shifts in price predictability.
Filtering entries or exits by confirming signals occurring near significant levels identified by the indicator.
Adding context to other technical analysis approaches by highlighting entropy-derived zones.
⚠️ Limitations
Parameter Dependency : Indicator performance is sensitive to parameter settings ( Window Length , Tolerance , Zone Threshold , Max Ticks Distance ), which may need optimization for different assets and timeframes.
Volatility Sensitivity : High market volatility or erratic price action can affect ApEn calculations and potentially lead to less reliable zone signals.
Fixed Level Filter : The significant level filter is based on multiples of 50. While common, this may not capture all relevant levels for every asset or market condition. Accurate Tick Size input is essential.
Not Standalone : Should be used in conjunction with other analysis methods (price action, volume, other indicators) for confirmation, not as a sole basis for trading decisions.
💡 What Makes This Unique
Entropy + Level Context : Uniquely combines ApEn analysis with a specific filter for proximity to significant price levels (multiples of 50), adding locational context to entropy signals.
Intelligent Zone Merging : Automatically consolidates nearby buy/sell zones based on tick distance, simplifying visual analysis and highlighting stronger confluence areas.
Targeted Signal Generation : Focuses alerts and zone creation on specific market conditions (entropy shifts near key levels).
🔬 How It Works
Calculate Entropy : The script computes the Approximate Entropy (ApEn) of the closing prices over the defined Window Length to quantify price predictability.
Check Triggers : It monitors ApEn relative to its moving average. A crossunder below a calculated threshold (avg_apen / zone_threshold) indicates potential support; a crossover above (avg_apen * zone_threshold) indicates potential resistance.
Filter by Level : A potential zone trigger is confirmed only if the low (for support) or high (for resistance) of the trigger bar is within the Max Ticks Distance of a significant price level (multiple of 50).
Manage & Draw Zones : If a trigger is confirmed, a new zone box is created. The script checks for overlaps with existing zones within the Zone Merge Distance and merges them if necessary. Zones are extended forward, and the oldest are removed to respect the Maximum Zones limit. Active zones are drawn and updated on the chart.
💡 Note:
Crucially, set the Tick Size parameter correctly for your specific trading instrument in the “Level Filter Settings”. Incorrect Tick Size will make the significant level filter inaccurate.
Experiment with parameters, especially Window Length , Tolerance (r) , Zone Threshold , and Max Ticks Distance , to tailor the indicator’s sensitivity to your preferred asset and timeframe.
Always use this indicator as part of a comprehensive trading plan, incorporating risk management and seeking confirmation from other analysis techniques.
AL Brooks - Price Action Multi-Signal Suite📘 Price Action Multi-Signal Suite📘
This indicator is a complete visual toolset for traders who use price action principles inspired by Al Brooks-style analysis.
It combines multiple nuanced signals — like first/second entries, breakout failures, trend bias, higher-timeframe context, and dynamic trend channels — into one elegant, customizable interface.
It is built with clarity, flexibility, and actionable precision in mind.
🧠 Core Concepts Behind the Tool
1. Trend Bias with EMA (20 by default)
The indicator calculates a standard EMA (default: 20) to establish trend direction bias.
When price is above EMA, we consider the market to be in a bull trend, and vice versa.
The EMA line changes color dynamically — green (bull), red (bear), gray (neutral).
🟢 Example:
If price is forming higher highs and staying above EMA with strong bull bars, the bias is bullish. In this phase, you're looking for High 1 and High 2 (H1/H2) setups.
2. First and Second Entries (H1/H2 and L1/L2)
High 1 (H1): First pullback in a bull trend after a minor new high.
High 2 (H2): A second attempt to push up after a failed H1.
Low 1 (L1) and Low 2 (L2): Mirror the above logic for bear trends.
📈 Example Trade – H2 Long:
Price breaks out above EMA.
Pulls back and forms an H1, but it fails to break out.
Second push (H2) forms a higher low, then closes strong above previous bar → BUY entry.
📉 Example Trade – L2 Short:
Market is below EMA.
A rally creates L1, fails.
L2 forms and closes below the previous bar low with a bear body → SELL entry.
3. Second Entry Logic (Simplified Swing Count)
This adds context to H2/L2 by ensuring at least two swings occurred in the same direction.
Reduces false signals in choppy markets.
Painted as colored circles (aqua = long, fuchsia = short).
4. Breakout Failure Detection
Detects false breakouts using 10-bar highs/lows:
Failed High Breakout: Price breaks a 10-bar high but closes back inside → potential reversal short.
Failed Low Breakout: Price breaks a 10-bar low but closes back inside → potential long.
🚨 Example:
Price breaks above a recent high but closes below it with a strong bear bar → look for reversal or fade setups.
5. Inside / Outside Bars
Helps recognize compression (inside bars) or volatility expansions (outside bars).
Inside bars often precede breakouts.
Outside bars may signal traps or indecision.
Use these in combination with entry logic. An H2 after an inside bar can signal a strong, clean breakout.
6. Higher Timeframe (HTF) Context
Pulls EMA and trend bias from a higher timeframe (default: 1hr).
Background color indicates HTF bias (adjustable opacity).
Green = HTF uptrend.
Red = HTF downtrend.
🧭 Usage: Trade in the direction of the HTF bias when possible. An H2 with HTF bias bullish adds confluence.
7. Trend Channels (Automatic, Visual)
Dynamically draws trend channel lines based on pivot highs/lows.
These act as support/resistance, visual guides for traps or continuation.
Trendline breakouts or touches often align with H2/L2 setups.
📏 Example:
Price touches lower channel and forms a second entry long (L2) with a strong bull bar → high-quality reversal trade.
⚙️ Customization Options
Toggle each signal component (entries, bias, bars, failures, channels).
Adjust EMA length, HTF resolution, background opacity.
Keep your chart clean and focused on the signals that matter to you.
📊 Trade Example Summary
H2 with HTF Bullish
Trade Setup: Strong bull bar after a failed H1, above EMA
Expected Move: Trend continuation upward
L2 with Channel Hit
Trade Setup: Pullback hits lower trend channel, forms L2
Expected Move: Reversal or scalp down
Failed High Breakout
Trade Setup: Price breaks above a 10-bar high, but reverses and closes inside
Expected Move: Quick fade or reversal short
Inside Bar + H2
Trade Setup: Price compresses into an inside bar, followed by a breakout with H2
Expected Move: Momentum breakout trade
Outside Bar + L2
Trade Setup: Price breaks strongly in one direction (outside bar), second push fails upward, forms L2
Expected Move: Short on weakness
Please note, this is an educational idea and representation of whatever I understood of it.
Historical performances may not be replicable in present/future.
Trade at your own responsibility.
Regards! ^^
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool
PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation.
## How It Works
The indicator uses a multi-step approach to analyze price action:
1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down).
2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities.
3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure.
4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions.
5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones.
## Display Modes
PoiBox offers three powerful display options:
- **Main BOS**: Shows only the most significant breakout structure with its associated POI zone
- **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones
- **All IDMs**: Reveals all detected internal market structures and their POI zones
## Advanced Features
- **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows
- **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries
- **Customizable POI Labels**: Control which price labels appear to maintain chart clarity
- **Extensive Color Settings**: Fully customizable colors for all visual elements
- **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions
## Trading Examples
**Downtrend Example:**
When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade.
**How to Read QM Lines:**
The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure.
**POI Zone Interpretation:**
- Red zones indicate bearish POI areas (ideal for short entries)
- Green zones indicate bullish POI areas (ideal for long entries)
- Yellow zones highlight the identified market structure
## Practical Application Example
In the GBP/USD example shown in the chart:
1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low
2. The yellow box shows the main market structure area
3. The red POI zone appeared when price returned to test previous structure
4. Entry was taken at the POI zone with stop loss above structure
5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade
6. The dashed QM lines showed the overall market flow and direction
This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing.
## Mathematical Approach
PoiBox uses several mathematical concepts to determine market structure and calculate POI zones:
1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure.
2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context.
3. **Dynamic POI Calculation**: POI values are calculated using the formula:
`POI = factor * (atr_trigger + atr_double_trigger)`
where `factor` is derived from the structure's height-to-ATR ratio.
4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing.
## What Makes PoiBox Unique
While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its:
1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes.
2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles.
3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements.
4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools.
5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy.
These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals.
## How To Use
1. Define your analysis area using the time range selectors (X1 and X2)
2. Choose your preferred display mode based on your trading style
3. Enable QM Mode for additional market structure context if needed
4. Use the POI zones as potential entry and exit areas for your trades
5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe
### Settings Explanation
**Display Settings:**
- Display Mode: Choose between Main BOS, Leg, or All IDMs visualization
- QM Mode: Enable to see market structure connections with dashed lines
**Trick Settings:**
- Trick Display: Show the main trick or all nested patterns
- Trick POI: Control which POI zones appear for trick patterns
**Label Settings:**
- Leg POI %: Customize percentage-based POI zones in Leg mode
- POI Labels: Control which price labels appear on your chart
**Time Range:**
- X1 and X2: Define the analysis area for market structure detection
**Colors:**
- TF Color: Color for timeframe labels
- H/L Color: Color for high/low labels
- QM Lines: Color for market structure connection lines
- Trick Color: Color for nested pattern visualization
This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
Session Open Lines [iFarsheed]Overview:
The "Session Open Lines " indicator is mainly designed for Al Brooks Price Action traders using 5-minute charts, particularly during the NYSE session. It marks Tokyo, London, and NYSE session open/close times with dashed lines and optional labels to help you analyze session-based price movements.
Features:
Session Marking:
Draws dashed lines to indicate the open and close times of Tokyo, London, and NYSE sessions.
NYSE session can be split into two or three parts for detailed analysis (e.g., Morning/Afternoon or Open/Middle/Close).
Optional Labels:
Displays labels (e.g., "Tokyo Open", "NYSE Close") below the chart to clearly identify session boundaries.
Labels can be toggled on or off for a cleaner chart view.
Customizable Display:
Choose which sessions to display and customize line colors to match your chart setup
How to Use:
Customize Settings:
Enable or disable specific sessions (Tokyo, London, NYSE) based on your trading focus.
Adjust line colors to ensure visibility against your chart background.
Toggle session labels on or off depending on your chart type (e.g., disable for RTH charts)
Analyze Session Boundaries:
Use the dashed lines to identify session open/close times and analyze price action around these key moments.
For NYSE session, split into two or three parts to break down the session into manageable segments for deeper analysis.
Informed Decision Making:
Leverage session boundaries to spot potential price action setups, such as breakouts or reversals, especially during the NYSE session
Important Note:
Due to Pine Script limitations (max 500 lines), if all sessions are enabled, lines are drawn for the past 5 days. Selecting fewer sessions allows more days to be displayed.
Lines are drawn only up to the current time; future session lines (e.g., NYSE Close) won't appear until the session ends.
For RTH charts, use only the NYSE session. It’s recommended to disable labels in RTH mode, as NYSE Open and Close lines are close together and labels may overlap.
Future Updates:
This indicator is just the beginning! Exciting new features are on the way to make your price action analysis even more powerful—stay tuned for updates!
If you have any suggestions or feedback, please share them in the comments section.
Happy Price Action Trading!
-iFarsheed-
Impulse Volume Oscillator [Alpha Extract]Impulse Volume Oscillator
A sophisticated indicator designed to identify market impulse moves and volume-based momentum shifts, helping traders capture significant price movements with precision.
Combining price deviations with volume analysis, this oscillator dynamically measures market strength and weakness, providing clear signals for potential trend continuations and reversals.
🔶 Volume-Adjusted Normalization
Utilizes a unique normalization technique that incorporates volume impact to enhance signal quality. This approach ensures the indicator responds more strongly to high-volume price movements while filtering out low-volume noise.
vol_ratio = ta.rsi(volume, 14) / 50
vol_factor = vol_impact > 0 ? 1 + (vol_ratio - 1) * vol_impact : 1
raw_normalized = dev / (ta.stdev(source, bars) * mult)
vol_adjusted = raw_normalized * vol_factor
normalized = ta.sma(vol_adjusted, smooth)
🔶 Adaptive Regime Detection
Incorporates threshold-based regime identification that clearly distinguishes between trending and mean-reverting market conditions. The customizable threshold system allows traders to adapt to different market volatilities and timeframes.
🔶 Customizable Parameters
Fine-tune detection sensitivity with adjustable inputs for lookback period, standard deviation multiplier, volume impact, and signal smoothing. These parameters enable traders to optimize the indicator for various trading styles and market conditions.
❓How It Works
🔶 Impulse Calculation
The oscillator measures price deviation from a moving average baseline, normalized by standard deviation, and then adjusts the signal based on relative volume strength. This creates a responsive yet stable indicator that accurately reflects market momentum.
// Calculate the basis using the selected MA
basis = get_ma(source, bars)
// Calculate the normalized value with volume impact
dev = source - basis
🔶 Dynamic Visualization
The histogram changes color based on signal strength, providing instant visual cues about market conditions. Green bars indicate positive momentum while red bars represent negative momentum, with color intensity reflecting signal strength.
🔶 Trend Confirmation
Built-in trend direction analysis provides confluence with the primary signal, helping traders distinguish between counter-trend bounces and genuine trend reversals. This dual-confirmation approach significantly reduces false signals.
🔶 Visual Alerts & Boundary Tracking
Monitors signal extremes and dynamically adjusts visualization transparency based on signal strength. The indicator highlights particularly strong impulse moves with background shading, making potential trading opportunities immediately apparent.
🔶 Custom Candle Coloring
Optional candle coloring applies the same color logic as the histogram directly to price candles, providing a unified visual framework that helps traders correlate indicator signals with price action.
🔶 Momentum Shift Detection
Automatically identifies important zero-line crossovers that often signify the beginning of new impulse moves. These transition points frequently offer favorable risk/reward entry opportunities.
🔶 Snapshot samples
1 Week
1 Day
15 Min
🔶 Why Choose AE - Impulse Volume Oscillator?
This indicator provides a comprehensive approach to identifying significant market moves by combining volume analysis with price momentum. By offering clear visual signals for both trend continuation and reversal scenarios, it empowers traders to make more informed decisions across various market conditions and timeframes.
All-Time, Yearly & Monthly High/LowThis indicator visually tracks and displays:
• All-Time High (ATH) – The highest price the asset has ever reached
• All-Time Low (ATL) – The lowest price the asset has ever reached
• Yearly High/Low – The highest and lowest prices recorded in the current calendar year
• Monthly High/Low – The highest and lowest prices in the current calendar month
It helps traders quickly identify major support/resistance levels and historical price extremes across different timeframes. Level
Color
Updates When
All-Time High
Red
A new highest price ever is reached
All-Time Low
Green
A new lowest price ever is reached
Yearly High
Orange
New yearly high occurs or changes with new year
Yearly Low
Teal
New yearly low occurs or changes with new year
Monthly High
Fuchsia
New monthly high or at the start of each new month
Monthly Low
Navy Blue
New monthly low or at the start of each new month This indicator is especially useful for:
• Swing traders watching monthly or yearly trend zones
• Breakout traders looking to spot price levels where breakouts might occur
• Reversal traders using all-time levels for high-risk reward zones
• Long-term investors gauging historical extremes for entries/exits
HTF Candle Overlay with Probability
Visualize Higher Timeframe Candles with Predictive Insights
This tool reconstructs higher-timeframe (HTF) candles using 1-minute bars and overlays them directly on your chart. It includes:
Wick + Body rendering for grouped HTF candles (e.g. 10m, 15m, etc.)
A dynamic label showing the probability of the current HTF candle closing bullish
Real-time updates and smart fading based on candle progress
Configurable colors for fills, outlines, and labels
🔧 Customizable Options:
Candle size (e.g. 10m, 15m)
Body fill and border color
Wick fill and border color
Label text/background color
Whether you're a scalper watching larger structure or a PA trader looking for confluence, this overlay gives you predictive insight where it matters: on the candle that's still forming.
Dynamic Adaptive Moving Average [Alpha Extract]Dynamic Adaptive Moving Average (DAMA) 📊
The Dynamic Adaptive Moving Average (DAMA) indicator is an adaptive technical tool that automatically discovers the optimal moving average period based on forward-looking price behavior. Unlike traditional fixed-length moving averages, this indicator continuously evaluates multiple timeframes to identify which MA length most accurately predicts future price movement, creating a responsive trend line that adapts to changing market conditions.
🔶 CALCULATION
The indicator employs a dynamic optimization algorithm to select the most effective moving average:
• Period Testing: Evaluates MA lengths from 5 to 100 periods to find the optimal timeframe
• Predictive Error: Measures each MA's accuracy by comparing it to the actual price 5 bars in the future
• Trend Weighting: Incorporates Rate of Change (ROC) to give higher priority to trend-following capabilities
• Error Minimization: Selects the MA length with the lowest weighted predictive error
• Smoothing: Applies an exponential smoothing factor (0.2) to prevent erratic changes in the trend line
🔶 DETAILS
Visual Features:
• Adaptive Trend Line: A yellow line representing the smoothed optimal moving average that dynamically adjusts its period
• Color-Coded Fills: Green areas when price is above the optimal MA (bullish), red when price is below (bearish)
• Opacity Gradient: Fill transparency provides visual context for the relationship between price and the trend line
• Real-Time Optimization Display: A table in the top-right corner shows the current optimal MA length
Interpretation:
• Bullish Signal: Price above the yellow DAMA line with green fill indicates upward momentum
• Bearish Signal: Price below the yellow DAMA line with red fill suggests downward pressure
• Trend Changes: Watch for crossovers between price and the DAMA for potential trend shifts
• Optimal Length Changes: Shorter optimal lengths may indicate trending markets, while longer lengths often appear in ranging conditions
🔶 EXAMPLES
The indicator demonstrates:
• Trend Identification: The DAMA hugs price more closely during trends while maintaining enough distance to filter noise
• Dynamic Adaptation: The MA length automatically adjusts shorter during strong trends and longer during consolidations
• Forward-Looking: By optimizing based on future price projection (5 bars), the indicator anticipates price movements better than traditional MAs
• Smooth Transitions: The smoothing algorithm prevents whipsaws while still allowing the MA to adapt to changing conditions
🔶 SETTINGS
Customization Options:
• Min/Max Length: Define the range of MA periods to test (default: 5-100)
• Step Size: Set the increment for testing different MA lengths (default: 1)
• Lookahead: Adjust the number of bars to project ahead for optimization (default: 5)
• Smoothing Factor: Control how quickly the MA adapts to new optimal lengths (default: 0.2)
The Dynamic Adaptive Moving Average (DAMA) indicator offers traders a sophisticated yet intuitive trend-following tool that eliminates the need to manually select MA periods.
Its self-optimizing algorithm continuously identifies the most effective moving average length based on actual price prediction accuracy, making it valuable for various trading strategies across different market environments and timeframes.
Candlestick Pattern Indicator – Doji, Harami, More [algo_aakash]This Candlestick Pattern Indicator is designed to help traders identify key price action patterns like Bullish Engulfing, Bearish Engulfing, Doji, Hammer, Morning Star, Evening Star, and many more directly on your TradingView chart. With customizable options to display both bullish and bearish patterns , this indicator provides real-time visual markers and labels, helping you make informed trading decisions.
Key features of the indicator include:
Detects popular candlestick patterns such as Bullish Engulfing, Bearish Engulfing, Hammer, Morning Star, Tweezer Tops, and more.
Customizable settings for displaying pattern shapes, labels, and opacity, tailored to your trading preferences.
Option to plot signals only after a candle closes, ensuring accuracy.
Alerts for immediate notification of detected patterns.
Visual markers on the chart, including arrows and labels, for quick recognition of potential trade setups.
This indicator is ideal for traders who rely on candlestick patterns for technical analysis and want an automated tool to highlight these setups for easier decision-making.
Whether you're a beginner or an experienced trader, this tool will help you spot important patterns in real-time without cluttering your chart.
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs
Version: PineScript™ v6
📌 Description
Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action.
This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts.
🚀 Points of Innovation
Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation
Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks
Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration
Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification
Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis
🔧 Core Components
Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves.
Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise.
Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points.
Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior.
🔥 Key Features
Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity
Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance
Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated
Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes
Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification
🎨 Visualization
Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas.
Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas.
Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop.
📖 Usage Guidelines
Order Block Settings
Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification.
Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure.
Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure.
Visual Settings
Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks.
Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks.
General Options
Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria.
Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action.
Volume Filter
Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average.
Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline.
Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks.
✅ Best Use Cases
Identifying high-probability support and resistance zones for trade entries and exits
Finding optimal stop-loss placement behind significant order blocks
Detecting potential reversal areas where price may react after extended moves
Confirming breakout trades when price clears major order blocks
Building a comprehensive market structure map for medium to long-term trading decisions
Pinpointing areas where smart money may have positioned before major market moves
⚠️ Limitations
Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined
Can generate multiple signals in choppy market conditions, requiring additional filtering
Volume filtering relies on accurate volume data, which may be less reliable for some securities
Recent market structure changes may invalidate older order blocks not yet automatically removed
Block identification is based on historical price action and may not predict future behavior with certainty
💡 What Makes This Unique
Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity.
Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition.
Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention.
Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise.
🔬 How It Works
1. Structure Identification Process :
The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition.
2. Break Detection :
When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation.
3. Volume Qualification :
For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed.
4. Block Creation and Management :
Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe.
5. Continuous Monitoring :
The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly.
💡 Note:
Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
