[blackcat] L3 Ichimoku FusionCOMPREHENSIVE ANALYSIS OF THE L3 ICHIMOKU FUSION INDICATOR
🌐 Overview:
The L3 Ichimoku Fusion is a sophisticated multi-layered technical analysis tool integrating classic Japanese market forecasting techniques with enhanced dynamic elements designed specifically for identifying potential turning points in financial instruments' pricing action.
Key Purpose:
To provide traders with an intuitive yet powerful framework combining established ichimoku principles while incorporating additional validation checkpoints derived from cross-timeframe convergence studies.
THEORETICAL FOUNDATION EXPLAINED
🎓 Conceptual Background:
:
• Conversion & Base Lines tracking intermediate term averages
• Lagging Span providing delayed feedback mechanism
• Lead Spans projecting future equilibrium states
:
• Adaptive parameter scaling options
• Automated labeling system for critical junctures
• Real-time alert infrastructure enabling immediate response capability
PARAMETER CONFIGURATION GUIDE
⚙️ Input Parameters Explained In Detail:
Regional Setting Selection:**
→ Oriental Configuration: Standardized approach emphasizing slower oscillation cycles
→ Occidental Variation: Optimized settings reducing lag characteristics typical of original methodology
Multiplier Adjustment Functionality:**
↔ Allows fine-graining oscillator responsiveness without altering core relationship dynamics
↕ Enables adaptation to various instrument volatility profiles efficiently
Displacement Value Control:**
↓ Controls lead/lag offset positioning relative to current prices
↑ Provides flexibility in adjusting visual representation alignment preferences
DYNAMIC CALCULATION PROCESSES
💻 Algorithmic Foundation:
:
Utilizes highest/lowest extremes over specified lookback windows
Produces more responsive conversions compared to simple MAs
:
→ Confirms directional bias across multiple independent criteria
← Ensures higher probability outcomes reduce random noise influence
:
♾ Creates persistent annotations documenting significant events
🔄 Handles complex state transitions maintaining historical record integrity
VISUALIZATION COMPONENTS OVERVIEW
🎨 Display Architecture Details:
:
→ Solid colored trendlines representing conversion/base relationships
↑ Fill effect overlay differentiating expansion/compression phases
↔ Offset spans positioned according to calculated displacement values
:
→ Green shading indicates positive configuration scenarios
↘ Red filling highlights negative arrangement situations
⟳ Orange transition areas mark transitional periods requiring caution
:
✔️ LE: Long Entry opportunity confirmed
❌ SE: Short Setup validated
☑ XL/XS: Position closure triggers active
✓ RL/RS: Potential re-entry chances emerging
STRATEGIC APPLICATION FRAMEWORK
📋 Practical Deployment Guidelines:
Initial Integration Phase:
Select appropriate timeframe matching trading horizon preference
Configure input parameters aligning with target asset behavior traits
Test thoroughly under simulated conditions prior to live usage
Active Monitoring Procedures:
• Regular observation of cloud formation evolution
• Tracking label placements against actual price movements
• Noting pattern development leading up to signaled entry/exit moments
Decision Making Process Flowchart:
→ Identify clear breakout/crossover events exceeding confirmation thresholds
← Evaluate contextual factors supporting/rejecting indicated direction
↑ Execute trades only after achieving required number of confirming inputs
PERFORMANCE OPTIMIZATION TECHNIQUES
🚀 Refinement Strategies:
Calibration Optimization Approach:
→ Start testing with default suggested configurations
↓ Gradually adjust individual components observing outcome changes
↑ Document findings systematically building personalized version profile
Context Adaptability Methods:
➕ Add supplementary indicators enhancing overall reliability
➖ Remove unnecessary complexity layers if causing confusion
✨ Incorporate custom rules adapting to specific security behaviors
Efficiency Improvement Tactics:
🔧 Streamline redundant processing routines where possible
♻️ Leverage shared data streams whenever feasible
⚡ Optimize refresh frequencies balancing update speed vs computational load
RISK MITIGATION PROTOCOLS
🛡️ Safety Measures Implementation Guide:
Position Sizing Principles:
∅ Never exceed preset maximum exposure limits defined by risk tolerance
± Scale positions proportionally per account size/market capitalization
× Include slippage allowances within planning stages accounting for liquidity variations
Validation Requirements Hierarchy:
☐ Verify signals meet minimum number of concurrent validations
⛔ Ignore isolated occurrences lacking adequate evidence backing
▶ Look for convergent evidence strengthening conviction level
Emergency Response Planning:
↩ Establish predefined exit strategies including trailing stops mechanisms
🌀 Plan worst-case scenario responses ahead avoiding panic reactions
⇄ Maintain contingency plans addressing unexpected adverse developments
USER EXPERIENCE ENHANCEMENT FEATURES
🌟 Additional Utility Functions:
Alert System Infrastructure:
→ Automatic notifications delivered directly to user devices
↑ Message content customized explaining triggered condition specifics
↔ Timing optimization ensuring minimal missed opportunities due to latency issues
Historical Review Capability:
→ Ability to analyze past performance retrospectively
↓ Assess effectiveness across varying market regimes objectively
↗ Generate statistics measuring success/failure rates quantitatively
Community Collaboration Support:
↪ Share personal optimizations benefiting wider trader community
↔ Exchange experiences improving collective understanding base
✍️ Provide constructive feedback aiding ongoing refinement process
CONCLUSION AND NEXT STEPS
This comprehensive guide serves as your roadmap toward mastering the capabilities offered by the L3 Ichimoku Fusion indicator effectively. Success relies heavily on disciplined application combined with continuous learning and adjustment processes throughout implementation journey.
Wishing you prosperous trading endeavors! 👋💰
Cari dalam skrip untuk "trendline"
Tremor Tracker [theUltimator5]Tremor Tracker is a volatility monitoring tool that visualizes the "tremors" of price action by measuring and analyzing the average volatility of the current trading range, working on any timeframe. This indicator is designed to help traders detect when the market is calm, when volatility is building, and when it enters a potentially unstable or explosive state by using a lookback period to determine the average volatility and highlights outliers.
🔍 What It Does
Calculates bar-level volatility as the percentage difference between the high and low of each candle.
Applies a user-selected moving average (SMA, EMA, or WMA) to smooth out short-term noise and highlight trends in volatility.
Compares current volatility to its long-term average over a configurable lookback period.
Dynamically colors each volatility bar based on how extreme it is relative to historical behavior:
🟢 Lime — Low volatility (subdued, ranging conditions)
🟡 Yellow — Moderate or building volatility
🟣 Fuchsia — Elevated or explosive volatility
⚙️ Customizable Settings
Low Volatility Limit and High Volatility Limit: Define the thresholds for color changes based on volatility's ratio to its average.
Volatility MA Length: Adjust the smoothing period for the volatility moving average.
Average Volatility Lookback: Set how many bars are used to calculate the long-term average.
MA Type: Choose between SMA, EMA, or WMA for smoothing.
Show Volatility MA Line?: Toggle the display of the smoothed volatility trendline.
Show Raw Volatility Bars?: Toggle the display of raw per-bar volatility with dynamic coloring.
🧠 Use Cases
Identify breakout conditions: When volatility spikes above average, it may signal the onset of a new trend or a news-driven breakout.
Avoid chop zones: Prolonged periods of low volatility often precede sharp moves — a classic “calm before the storm” setup.
Timing reversion trades: Detect overextended conditions when volatility is well above historical norms.
Adapt strategies by volatility regime: Use color feedback to adjust risk, position sizing, or strategy selection based on real-time conditions.
📌 Notes
Volatility is expressed as a percentage, making this indicator suitable for use across different timeframes and asset classes.
The tool is designed to be visually intuitive, so traders can quickly spot evolving volatility states without diving into raw numbers.
OBV by Randy_New指標介紹： 本指標基於傳統 OBV（On-Balance Volume）設計，並加入 EMA(21) 作為基準線，生成震盪型 OBV 差值指標（OBV Oscillator），進一步強化趨勢動能判斷能力。
改良特色：
傳統 OBV 直接累積買賣量，但視覺變化不明顯。本腳本將 OBV 減去 EMA，形成震盪指標，方便判斷趨勢轉折點。
以紅/綠顏色區分 OBV Oscillator 正負，紅色代表上升趨勢，綠色代表下降趨勢，提升視覺判讀效率。
修正 OBV 初期累積偏移問題，讓指標更加準確。
應用方式：
OBV Oscillator > 0 時：代表買盤動能佔優，偏多思考。
OBV Oscillator < 0 時：代表賣盤動能佔優，偏空思考。
可搭配趨勢線、支撐阻力或其他指標（如 MACD、RSI）進行交叉驗證，增加交易勝率。
適合對象：
喜歡使用 OBV 判斷動能轉折的交易者
需要視覺化量價結合訊號的操盤手
備註： 本腳本為封閉原始碼，因應自有改良與應用，保護獨特邏輯設計，感謝理解
Indicator Name: OBV by Randy_New
Overview:
This indicator is based on the traditional On-Balance Volume (OBV) concept, with an enhancement that integrates an EMA (Exponential Moving Average) smoothing of the OBV data. The indicator plots an OBV Oscillator, which is the difference between the raw OBV and its EMA, helping traders to better visualize momentum changes and potential trend reversals.
Key Features:
Instead of simply accumulating OBV values, this script calculates the difference between OBV and its EMA to create a more responsive oscillator.
Color-coded visualization: Red when the oscillator is above zero (indicating bullish momentum), Green when below zero (indicating bearish momentum).
Corrects initial offset issues caused by na values in volume changes to ensure a more accurate OBV calculation from the beginning.
How to Use:
When the OBV Oscillator is above zero, it suggests buying pressure is dominant — consider bullish strategies.
When the OBV Oscillator is below zero, it suggests selling pressure is dominant — consider bearish strategies.
For higher accuracy, combine it with other technical tools such as trendlines, support/resistance, MACD, or RSI for confirmation.
Target Users:
Traders who like to use volume-based indicators for momentum analysis.
Traders looking for a simplified and visually enhanced version of the traditional OBV.
Important Notice:
This script is closed-source to protect the specific improvements and proprietary adjustments made to the traditional OBV calculation and visualization method. Thank you for your understanding.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
PivotBox by Nadeem Al-QahwiPivotBox by Nadeem Al-Qahwi
General Idea of the Indicator: The PivotBox indicator is an advanced technical analysis tool designed to identify key reversal points in the market based on pivot highs and pivot lows. The indicator helps traders to detect breakout and breakdown opportunities based on past price movements, guiding informed trading decisions.
Indicator Functions:
Key Reversal Points (Pivot Points):
The indicator identifies pivot highs and pivot lows over a user-defined period, helping traders spot significant price levels in the market.
These points are plotted on the chart, showing where market reversals may occur.
Breakouts and Breakdowns:
The indicator identifies breakouts when the price moves above a pivot high or breakdowns when the price falls below a pivot low.
Once these breakouts or breakdowns are detected, the indicator draws lines indicating the critical price levels for visual reference.
Trend Levels using Zero-Lag MA:
The indicator includes an option to add a Zero-Lag Moving Average (Zero-Lag MA) to display the overall trend in the market. This moving average helps filter out noise and identify the general market direction, improving trade decision-making.
Line Styles:
The pivot points (highs and lows) are displayed using different line styles, such as solid, dashed, or dotted lines. The user can customize the style based on their preference.
These lines represent the breakouts or breakdown levels in the market.
Alerts:
The indicator can activate alerts when a breakout or breakdown occurs. Users can customize the alerts to notify them when specific conditions are met, ensuring that they do not miss significant price movements.
Input Variables:
Period (prd): The time period over which the pivot highs and lows are calculated. The user can define this period based on their trading strategy.
Max Breakout Length (bo_len): The maximum time duration for a breakout or breakdown to occur. This variable helps determine the relevance of the price movement.
Threshold Rate (cwidthu): The width percentage that helps to define the price area for breakouts and breakdowns.
Line Style (lstyle): Allows the user to choose the style of lines used to display the pivot points (solid, dashed, or dotted).
Minimum Number of Tests (mintest): The minimum number of tests required before a breakout or breakdown is considered valid.
How the Indicator Works:
The indicator first calculates the pivot highs and lows based on the user-defined period (Period).
It then tracks price movements to detect if a breakout or breakdown occurs.
When a breakout or breakdown is confirmed, the indicator draws lines at these levels and shows the user the new price direction.
Alerts can be triggered based on predefined conditions such as when a breakout or breakdown occurs.
The Zero-Lag MA helps the user visualize the trend, adding another layer of analysis to the market movements.
Key Benefits:
Accurate Reversal Point Analysis: Helps traders identify key entry and exit points based on precise technical analysis.
Breakout and Breakdown Detection: Allows traders to spot breakout and breakdown opportunities in real-time.
Customizable Alerts: Users can set up alerts to notify them when a breakout or breakdown happens, ensuring they don't miss important market moves.
Flexible Customization: The indicator offers various options to customize the display (line styles, alerts, trendlines), catering to different trading strategies.
Radonezh Kir-Mary Beauty editionOverview
Dedicated to rev. Kirill and Mary of Radonezh.
This indicator uniquely combines Cumulative Volume Delta (CVD) and price momentum with dynamic normalization to identify trend strength, reversals, supported by a combination of more traditional signal logic. Unlike traditional momentum oscillators, it integrates volume dynamics and advanced directional index to filter false signals and adapts to market volatility through automated scaling, offering a holistic view of price-action reliability.
Core Innovations
Adapive Signals: Uses a proprietary correlation algorithm to weight momentum values, reducing noise in choppy markets.
Lower timeframe entry points: (currently 1 minute only) and HTF line statuses for timeframe synchronisation (currently only 15 minutes and 1 hour status) for super-precise entry points
Automatic drawing of resistance and support lines based on the proprietary algorithm for detecting volume/price synchronization and desynchronization levels.
"Victor-predictor": price chart pointing line that shows where the price supposedly goes based on the machine-learning simulation with pine script based on the main 3 traditional classical indicators. Works independently from the rest of the indicator. Developed by @Skorcez (same team).
Automatic recognition of possible long and short stop order placement levels. I do not filter them so use only within the general context of the indicator.
Key Features
Volume-Price Correlation: CVD reflects institutional order flow, while price momentum quantifies trend acceleration.
Auto-Scaling: Adjusts output range based on recent volatility (ATR), preventing overbought/oversold false positives.
Visual Alerts: Marks divergence zones with colored trendlines and labels (regular/hidden bullish/bearish).
Unique Value
By fusing volume delta dynamics with momentum filtering, this script addresses a critical gap in traditional indicators that treat price and volume in isolation. The closed-source logic focuses on institutional accumulation/distribution patterns, providing actionable signals without repainting.
Compatible with all assets and timeframes. No promotional content or external links included.
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Trading strategy
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Position Signals via DEMA Momentum Line Coloration
The main indicator line (orange/black) determines entry/exits based on its color intensity, which reflects trend strength and confirmation from filtered signals. Here's how it works:
Long Positions (Green/Teal)
Weak Long:
Dark Green = Price momentum rising without volume/Machine Learning (ML) confirmation.
Example: main line turns green but lacks volume spikes or ML buy signals.
Strong Long:
Bright Green = Momentum confirmed by:
Volume Surge: Volume exceeds 1.5x 20-period average.
ML Confirmation: ML score > 0.7 with price above EMA20.
Post-Drop Recovery: Price rebounds after a >1% drop on high volume. (not active as of now, will add a bit later, still working on it)
Short Positions (Red/Orange)
Weak Short:
Orange = Momentum declines without bearish confirmation.
Strong Short:
Bright Red = Confirmed by:
Volume Divergence: Rising price with falling CVD momentum.
ML Bearish: ML score > 0.7 + price below EMA20.
Overextension: RSI > 70 + price above upper Bollinger Band.
Neutral (Gray)
Flat Momentum:
Gray = Momentum near zero (±0.05) + low volatility (ATR < 1% of price).
Action: Avoid trades until color intensifies or stay in a position with a trailing stoploss until it's clear where the market goes (use HTF signal colour table to know what to expect).
Key Features
Adaptive Confirmation:
Colors brighten when signals align across:
Volume acceleration
RSI and a few other extremes (oversold/overbought)
Machine Learning predictions
Dynamic Risk Zones:
Gray areas highlight low-confidence periods, while bright colors mark high-probability entries.
Usage: Enter longs when the line turns bright green and exits when it fades to dark green/gray. Reverse for shorts. Combine with the built-in Victor-Predictor signals for optimal accuracy
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Plans to add soon:
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Dynamic Normalization: Scales CVD and price momentum to a fixed range (default: -20 to +20) using volatility-adjusted multipliers, ensuring consistent interpretation across assets/timeframes.
Divergence Detection: Flags discrepancies between volume-driven momentum (CVD) and price trends, highlighting potential reversals.
Adding 2 nearest psychological support and resistance levels.
Volume-Price Momentum IndicatorVolume-Price Momentum Indicator (VPMI)
Overview
The Volume-Price Momentum Indicator (VPMI), developed by Kevin Svenson , is a powerful technical analysis tool designed to identify strong bullish and bearish momentum in price movements, driven by volume dynamics. By analyzing price changes and volume surges over a user-defined lookback period, VPMI highlights potential trend shifts and continuation patterns through a smoothed histogram, optional labels, and background highlights. Ideal for traders seeking to capture momentum-driven opportunities, VPMI is suitable for various markets, including stocks, forex, and cryptocurrencies.
How It Works
VPMI calculates the difference between volume-weighted buying and selling pressure based on price changes over a specified lookback period. It amplifies signals during high-volume periods, applies smoothing to reduce noise, and uses momentum checks to detect sustained trends.
Indicator display:
A histogram that oscillates above (bullish) or below (bearish) a zero line, with brighter colors indicating stronger momentum and faded colors for weaker signals.
Optional labels ("Bullish" or "Bearish") to mark significant momentum shifts.
Optional background highlights to visually emphasize strong trend conditions.
Alerts to notify users when strong bullish or bearish momentum is detected.
Key Features
Customizable Settings:
Adjust the lookback period, volume threshold, momentum length, and smoothing to suit your trading style.
Volume Sensitivity:
Emphasizes price movements during high-volume surges, enhancing signal reliability.
Momentum Detection: Uses linear regression and momentum change to confirm sustained trends, reducing false signals.
Visual Clarity:
Offers a clear histogram with color-coded signals, plus optional labels and backgrounds for enhanced chart readability.
Alerts:
Configurable alerts for strong momentum signals, enabling timely trade decisions.
Inputs and Customization
Lookback Period (Default: 9):
Sets the number of bars to analyze price changes. Higher values smooth signals but may lag.
Volume Threshold (Default: 1.4):
Defines the volume level (relative to a 20-period SMA) that qualifies as a surge, amplifying signals.
High Volume Multiplier (Default: 1.5):
Boosts histogram values during high-volume periods for stronger signals.
Histogram Smoothing Length (Default: 4):
Controls the EMA smoothing applied to the histogram, reducing noise.
Momentum Check Length (Default: 4):
Sets the period for momentum trend analysis (recommended to be less than Lookback Period).
Momentum Threshold (Default: 6):
Defines the minimum momentum change required for strong signals.
Show Labels (Default: Off):
Toggle to display "Bullish" or "Bearish" labels on significant momentum shifts.
Show Backgrounds (Default: Off):
Toggle to highlight chart backgrounds during strong momentum periods.
Bullish/Bearish Colors:
Customize colors for bullish (default: green) and bearish (default: red) signals.
Faded Transparency (Default: 40):
Adjusts the transparency of weaker signals for visual distinction.
How to Use
Interpret Signals:
Above Zero (Green):
Indicates bullish momentum. Bright green suggests strong, sustained buying pressure.
Below Zero (Red):
Indicates bearish momentum. Bright red suggests strong, sustained selling pressure.
Faded Colors:
Weaker momentum, potentially signaling consolidation or trend exhaustion.
Enable Visuals:
Turn on "Show Labels" and "Show Backgrounds" in the settings for additional context on strong momentum signals.
Set Alerts:
Use the built-in alert conditions ("Strong Bullish Momentum" or "Strong Bearish Momentum") to receive notifications when significant trends emerge.
Combine with Other Tools:
Pair VPMI with support/resistance levels, trendlines, or other indicators (e.g., RSI, MACD) for confirmation.
Best Practices
Timeframe:
VPMI works on all timeframes, but shorter timeframes (e.g., 5m, 15m) may produce more signals, while longer timeframes (e.g., 1h, 4h, 1D) offer higher reliability.
Market Conditions:
Most effective in trending markets. In choppy or sideways markets, consider increasing the smoothing length or momentum threshold to filter noise.
Risk Management:
Always use VPMI signals in conjunction with a robust trading plan, including stop-losses and position sizing.
Limitations
Lagging Nature:
As a momentum indicator, VPMI may lag in fast-moving markets due to smoothing and lookback calculations.
False Signals:
In low-volume or ranging markets, signals may be less reliable. Adjust the volume threshold or momentum settings to improve accuracy.
Customization Required:
Optimal settings vary by asset and timeframe. Experiment with inputs to align with your trading strategy.
Why Use VPMI?
VPMI offers a unique blend of volume and price momentum analysis, making it a versatile tool for traders seeking to identify high-probability trend opportunities. Its customizable inputs, clear visuals, and alert capabilities empower users to tailor the indicator to their needs, whether for day trading, swing trading, or long-term analysis.
Get Started
Apply VPMI to your chart, tweak the settings to match your trading style, and start exploring momentum-driven opportunities. For questions or feedback, consult TradingView’s community forums or documentation. Happy trading!
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Filtered Swing Pivot S&R )Pivot support and resis🔍 Filtered Swing Pivot S&R - Overview
This indicator identifies and plots tested support and resistance levels using a filtered swing pivot strategy. It focuses on high-probability zones where price has reacted before, helping traders better anticipate future price behavior.
It filters out noise using:
Customizable pivot detection logic
Minimum price level difference
ATR (Average True Range) volatility filter
Confirmation by price retesting the level before plotting
⚙️ Core Logic Explained
✅ 1. Pivot Detection
The script uses Pine Script's built-in ta.pivothigh() and ta.pivotlow() functions to find local highs (potential resistance) and lows (potential support).
Pivot Lookback/Lookahead (pivotLen):
A pivot is confirmed if it's the highest (or lowest) point within a lookback and lookahead range of pivotLen bars.
Higher values = fewer, stronger pivots.
Lower values = more, but potentially noisier levels.
✅ 2. Pending Pivot Confirmation
Once a pivot is detected:
It is not drawn immediately.
The script waits until price re-tests that pivot level. This retest confirms the market "respects" the level.
For example: if price hits a previous high again, it's treated as a valid resistance.
✅ 3. Dual-Level Filtering System
To reduce chart clutter and ignore insignificant levels, two filters are applied:
Fixed Threshold (Minimum Level Difference):
Ensures a new pivot level is not too close to the last one.
ATR-Based Filter:
Dynamically adjusts sensitivity based on current volatility using the formula:
java
Copy
Edit
Minimum distance = ATR × ATR Multiplier
Only pivots that pass both filters are plotted.
✅ 4. Line Drawing
Once a pivot is:
Detected
Retested
Filtered
…a horizontal dashed line is drawn at that level to highlight support or resistance.
Resistance: Red (default)
Support: Green (default)
These lines are:
Dashed for clarity
Extended for X bars into the future (user-defined) for forward visibility
🎛️ Customizable Inputs
Parameter Description
Pivot Lookback/Lookahead Bars to the left and right of a pivot to confirm it
Minimum Level Difference Minimum price difference required between plotted levels
ATR Length Number of bars used in ATR volatility calculation
ATR Multiplier for Pivot Multiplies ATR to determine volatility-based pivot separation
Line Extension (bars) How many future bars the level line will extend for better visibility
Resistance Line Color Color for resistance lines (default: red)
Support Line Color Color for support lines (default: green)
📈 How to Use It
This indicator is ideal for:
Identifying dynamic support & resistance zones that adapt to volatility.
Avoiding false levels by waiting for pivot confirmation.
Visual guidance for entries, exits, stop placements, or take-profits.
🔑 Trade Ideas:
Use support/resistance retests for entry confirmations.
Combine with candlestick patterns or volume spikes near drawn levels.
Use in confluence with trendlines or moving averages.
🚫 What It Does Not Do (By Design)
Does not repaint or remove past levels once confirmed.
Does not include labels or alerts (but can be added).
Does not auto-scale based on timeframes (manual tuning recommended).
🛠️ Possible Enhancements (Optional)
If desired, you could extend the functionality to include:
Labels with “S” / “R”
Alert when a new level is tested or broken
Toggle for support/resistance visibility
Adjustable line width or style
tance indicator
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.
Rolling ATR Momentum - EnhancedATR Rolling Momentum Indicator – User Manual
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🔍 Overview
The ATR Rolling Momentum Indicator is a dynamic volatility tool built on the Average True Range (ATR). It not only tracks increasing or decreasing momentum but also provides early warnings and confirmation signals for potential breakout moves. It’s especially powerful for futures and options traders looking to align with expanding price action.
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📊 Core Components
✅ ATR Delta (Rolling ATR)
- Definition: Difference between current ATR and past ATR (user-defined lookback).
- Use: Tells whether volatility is expanding (positive delta) or contracting (negative delta).
- Visual: Green line for rising momentum, red for declining.
🟣 ATR Delta Slope
- Definition: Measures acceleration in momentum.
- Use: Helps identify early signs of breakout buildup.
- Visual: Purple line. Watch for slope turning up from below.
🟡 Volatility Squeeze (Yellow Dot)
- Definition: Current ATR is significantly lower than its 20-period average.
- Use: Indicates the market is coiling—possible breakout ahead.
🔼 Momentum Start (Green Triangle)
- Definition: ATR Delta slope turns from negative to positive.
- Use: Early warning to prepare for volatility expansion.
🔷 Breakout Confirmation (Blue Label Up)
- Definition: ATR Delta exceeds its high of the last 10 candles.
- Use: Confirms volatility breakout—trade opportunity if direction aligns.
🟩/🟥 Background Color
- Green Background: Momentum rising (positive ATR delta)
- Red Background: Momentum falling (negative ATR delta)
- Yellow Tint: Active squeeze zone
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✅ How to Use It (Futures/Options Focus)
Step-by-Step:
1. Squeeze Detected (Yellow Dot) → Stay alert. Market is coiling.
2. Green Triangle Appears → Momentum is starting to rise.
3. Background Turns Green → Confirmed rising momentum.
4. Blue Label Appears → Confirmed breakout (enter trade if trend aligns).
Directional Bias:
- Use your main chart setup (price action, EMAs, trendlines, etc.) to decide direction (Call or Put, Long or Short).
- ATR Momentum only tells you how strong the move is—not which way.
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⚙️ Inputs & Settings
- ATR Period: Default 14 (core volatility measure)
- Rolling Lookback: Used to calculate delta (default 5)
- Slope Length: Used to measure acceleration (default 3)
- Squeeze Factor: Default 0.8 — lower = more sensitive squeeze detection
- Breakout Lookback: Checks ATR delta against last X bars (default 10)
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🧠 Pro Tips
- Works great when paired with EMA stacks, price structure, or breakout patterns.
- Avoid taking trades based only on squeeze or momentum—combine with chart confirmation.
- If background turns red after a breakout, it may be losing momentum—book partials or tighten stops.
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🧭 Ideal For:
- Nifty/BankNifty Futures
- Option directional trades (call/put buying)
- Index scalping and momentum swing setups
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Use this tool as your volatility compass—it won't tell you where to go, but it'll tell you when the wind is strong enough to move fast.
End of Manual
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
Multitimeframe Fair Value Gap – FVG (Zeiierman)█ Overview
The Multitimeframe Fair Value Gap – FVG (Zeiierman) indicator provides a dynamic and customizable visualization of institutional imbalances (Fair Value Gaps) across multiple timeframes. Built for traders who seek to analyze price inefficiencies, this tool helps highlight potential entry points, unmitigated gaps, and directional bias using smart volume logic and adaptive visual elements.
A Fair Value Gap (FVG) forms when there's a three-candle sequence in which a market imbalance leaves a "gap" between the wicks of candle 1 and candle 3. These areas are often considered footprints of institutional activity, and this indicator gives you the tools to track them with surgical precision across any timeframe you choose—regardless of the one you're viewing.
This indicator also includes a trend filter powered by a low-pass Butterworth filter, enabling traders to distinguish between countertrend vs. trend-aligned FVGs for more intelligent decision-making. On top of that, it features a dynamic FVG table for live tracking and bull/bear volume power visualization inside each gap, adding powerful clarity to market intent.
█ How It Works
The indicator analyzes the open, high, low, close, and volume of candles from a user-selected timeframe. It identifies Fair Value Gaps based on wick logic and only confirms those that meet customizable strength criteria. Once detected, the indicator visualizes each FVG with dynamically extending boxes, optional buy/sell volume bars, and a real-time mitigation check.
⚪ Multitimeframe Logic
Users can analyze FVGs from a higher or lower timeframe regardless of their current chart.
This is achieved using request.security() to fetch OHLCV data from the chosen timeframe.
⚪ Wick Sensitivity & Impulse Filter
The script measures the wick size of potential FVG candles and compares them to a running average. Only FVGs with wick sizes above a certain sensitivity threshold (user-controlled) are plotted. This ensures only meaningful price dislocations (e.g., strong impulsive moves) are shown, reducing noise.
⚪ Midpoint Mitigation Logic
FVGs are marked as "mitigated" when the price revisits the gap area. Traders can choose whether full gap closure or just a midpoint touch is required. This allows faster reactivity in real-time trading environments.
⚪ Bull & Bear Power – Volume-Weighted Visualization
Every Fair Value Gap box includes sub-bars representing the estimated buy and sell effort that created the gap. These are calculated using the candle's close in relation to its high/low range and volume:
Buy Volume % ≈ effort from low to close
Sell Volume % ≈ effort from high to close
Each sub-bar inside the FVG:
Is color-coded (UpCol for bullish, DnCol for bearish)
Is drawn proportionally to the strength of buyers or sellers
Visually displays who was in control during the imbalance
⚪ FVG Table – Dynamic On-Chart Overview
The indicator includes an optional on-chart table that displays all currently active (unmitigated) FVGs in a side panel format:
Automatic updates as gaps are formed and mitigated
Color-coded rows to show bullish vs. bearish FVGs
Timestamps to know precisely when the gap formed
User-controlled position via Table Left and Table Right
This is a gap watchlist overlay, giving traders a concise view of current inefficiencies without manually scanning the chart.
⚪ FVG Trend Filter (Butterworth Smoother)
Using a two-pole Butterworth low-pass filter, the indicator computes a trendline based on average FVG values, offering a smooth but responsive directional signal.
Passband Ripple (dB): Controls sensitivity and overshoot tolerance
Cutoff Frequency (0–0.5): Sets how quickly the trendline reacts
The trendline helps categorize each FVG:
Trend up → favor bullish FVGs
Trend down → favor bearish FVGs
It adds an extra dimension to FVG entries, helping distinguish between trend-aligned and countertrend signals.
█ How to Use
⚪ Identify Institutional Gaps
Use this tool to identify areas where institutions may have left imbalances behind quickly.
These areas often become:
Strong support/resistance zones
Areas where price might react sharply
Targets for liquidity sweeps or retracements
⚪ React to Trend or Countertrend
The built-in trendline helps categorize each FVG:
Trend up → Bullish FVGs have higher validity
Trend down → Bearish FVGs have higher validity
⚪ Volume Context via Bull/Bear Power
Each Fair Value Gap is more than just a price imbalance — it’s a story of effort and intent. The Bull/Bear Power feature visualizes the buy and sell pressure behind each FVG, helping you understand how the gap was formed and who was in control.
A bullish FVG with a strong buy effort suggests continuation potential — buyers dominated the move.
A bullish FVG with a dominant sell effort could signal a trap or reversal — sellers may have overwhelmed the breakout.
These insights allow you to confirm imbalance strength, spot traps early, and add confidence to entries based on dominant volume profiles.
Instead of viewing gaps as static zones, this feature turns each into a live volume map — a visual breakdown of who moved the market and whether that move had conviction.
⚪ Plan with the FVG Table
The FVG Table acts as your on-chart control center for tracking active imbalances. When enabled, it provides a clear summary of all unmitigated Fair Value Gaps, helping you stay organized and focused during fast-moving sessions.
Track live and historical gaps: See exactly when and where each FVG formed.
Monitor older, still-valid zones: Gaps off-screen but not mitigated remain in play — perfect for anticipating future reactions.
Gauge market bias at a glance: The balance of bullish vs. bearish FVGs helps you understand overall directional pressure.
Plan entries confidently: Use the table to reference all zones for risk management, confluence stacking, or layered execution strategies.
Instead of manually scanning your chart, the FVG Table offers a clean, at-a-glance overview of the market’s inefficiencies — giving you the structure needed to act with precision.
█ Settings
FVG Timeframe
Select any timeframe to source FVGs independent of your current chart.
Sensitivity
Filter FVGs by how impulsive the move is — it helps you eliminate weak gaps.
Mitigated on Mid
Control whether gaps are removed at midpoint touch or full fill.
Table Settings
Control the table position and width. Cleanly view all active FVGs.
FVG Style
Customize gap box colors, length, and bullish/bearish overlays.
Trend Filter
Enable or disable the smoothed FVG-based trendline with customizable smoothing controls.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
XTE+ Optimized Trend Tracker📊 XTE+ Optimized Trend Tracker (OTT)
XTE+ OTT is a powerful, trend-following indicator designed for traders who value clarity, precision, and advanced analytics. It offers not only accurate entry and exit signals but also visual zones, historical signal analysis, and real-time trend monitoring.
🧠 How It Works
XTE+ OTT is based on an improved version of the Optimized Trend Tracker. It utilizes multiple customizable moving average types (VAR, EMA, SMA, WMA, and more) combined with volatility filtering (ATR logic) to generate cleaner, more reliable trend-following signals.
✅ Features
Trend Direction Detection with automatic switch logic
Buy/Sell Signal Icons with distinct large markers
Entry/Exit Zones drawn visually on chart
Custom Take-Profit / Stop-Loss settings for Buy and Sell signals
Statistical Panel showing:
Current Trend (Up/Down)
Number of total signals
Number of winning trades
Win percentage
Configurable Display Options:
Show/hide signals
Show/hide trend zones
Show/hide OTT and MA lines
Supports multiple MA types including EMA, SMA, VAR, ZLEMA, TSF and more
Non-repainting logic — signals are confirmed at bar close
⚙️ Inputs and Customization
OTT Period & Sensitivity (%)
MA Type Selection (VAR, EMA, etc.)
Entry Zone Visualization On/Off
Trend Panel Display On/Off
TP/SL % per direction (Buy/Sell separately)
Option to disable MA or OTT line display
📈 Visuals
Signal icons: BUY (Green Up Label), SELL (Red Down Label)
Entry zones: circles near breakout levels
Trendlines change color dynamically (green for uptrend, red for downtrend)
Trend Panel is pinned in the top-right corner for quick reference
💡 Usage Tips
Best used on higher timeframes (15min, 1H, 4H+) for more meaningful trend signals
Combine with volume/volatility indicators or support/resistance zones for enhanced decision making
Use TP/SL logic to track signal success over time and optimize strategies
📌 Disclaimer
This script is for educational and informational purposes only. It is not financial advice. Always test and validate your strategy before applying it in live markets.
Institutional Activity AnalysisThe Institutional Activity Analysis (IAA) indicator is a powerful tool designed to help traders identify potential institutional buying and selling activity in the market. By analyzing volume, price movement, and accumulation/distribution trends, this indicator provides insights into market dynamics that may signal significant activity.
This indicator is not a buy or sell recommendation but rather a tool to assist traders in understanding market behavior. It should be used in conjunction with other technical analysis tools and strategies for a comprehensive trading approach.
Key Features:
Smart Money Flow Index (SMFI):
1). Tracks the flow of "smart money" by analyzing price action relative to volume.
2). Helps identify whether institutional activity is bullish or bearish.
Accumulation/Distribution (Acc/Dist):
1). Measures buying and selling pressure in the market.
2). Indicates whether the market is in an accumulation (buying) or distribution (selling) phase.
Volume Spike Detection:
1. Identifies unusual volume spikes that may signal institutional activity.
2. Highlights these spikes with a yellow circle on the chart.
Significant Price Movement:
1. Detects strong price movements accompanied by high volume.
2. Marks these movements with a green triangle on the chart.
Customizable Dashboard:
1. Displays key metrics such as volume flow, smart money flow, accumulation/distribution, and volatility.
2. Includes visual signals for volume spikes and significant moves.
3. The dashboard can be positioned anywhere on the chart or turned off.
Heatmap for Activity Intensity:
1. Visualizes the intensity of market activity by combining volume and price volatility.
How to Read the Indicator:
Smart Money Flow (SMFI):
1. A positive SMFI value indicates bullish institutional activity.
2. A negative SMFI value suggests bearish institutional activity.
3. The blue line on the indicator represents the smoothed SMFI.
Accumulation/Distribution (Acc/Dist):
1. A positive slope indicates accumulation (buying pressure).
2. A negative slope indicates distribution (selling pressure).
3. The purple line on the indicator shows the smoothed Acc/Dist slope.
Volume Spikes:
1. Yellow circles on the chart indicate unusual volume spikes.
2. These spikes may signal institutional interest or significant market activity.
Significant Price Movements:
1. Green triangles on the chart highlight strong price movements with high volume.
2. These movements may indicate potential breakouts or reversals.
Dashboard:
The dashboard provides a quick summary of key metrics:
1. Volume Flow: Indicates whether volume is above or below the average.
2. Smart Money: Shows whether institutional activity is bullish or bearish.
3. Acc/Dist: Displays whether the market is in accumulation or distribution.
4. Volatility: Provides the current volatility level.
5. Signals: Highlights whether there are volume spikes or significant moves.
How to Use the Indicator:
Identify Institutional Activity:
1. Look for confluences between volume spikes, significant price movements, and the direction of the SMFI and Acc/Dist slope.
2. For example, a volume spike combined with a positive SMFI and accumulation may indicate bullish institutional activity.
Confirm Market Trends:
1. Use the indicator to confirm trends by analyzing the direction of the SMFI and Acc/Dist slope.
2. A rising SMFI and positive Acc/Dist slope suggest a strong uptrend, while the opposite indicates a downtrend.
Monitor Volatility:
1. High volatility combined with volume spikes may signal potential breakouts or reversals.
2. Use the volatility metric on the dashboard to gauge market conditions.
Set Alerts:
1. Use the built-in alert conditions to get notified of volume spikes and significant price movements.
2. Alerts can help you stay informed about potential market opportunities.
Important Notes:
1. This is not a buy or sell recommendation. The IAA indicator is a technical analysis tool designed to provide insights into market activity. Always use it in conjunction with other tools and strategies.
2. The indicator works best when combined with other forms of analysis, such as support/resistance levels, trendlines, and candlestick patterns.
3. Past performance is not indicative of future results. Always practice proper risk management and trade responsibly.
Customization:
The indicator includes several customizable settings:
1. Volume Spike Threshold: Adjust the sensitivity for detecting volume spikes.
2. Smoothing Period: Change the period for calculating SMFI and Acc/Dist.
3. Price Movement Threshold: Modify the sensitivity for detecting significant price movements.
4. Dashboard Position: Move the dashboard to any corner of the chart or turn it off.
5. Visual Settings: Customize the colors and transparency of the dashboard and signals.
Example Use Case:
Imagine you're analyzing a stock that has been consolidating for several days. Suddenly, the IAA indicator detects:
1. A volume spike (yellow circle),
2. A significant price movement (green triangle),
3. A positive SMFI (bullish smart money flow),
4. And an accumulation phase (positive Acc/Dist slope).
This confluence of signals may indicate that institutional buyers are entering the market, potentially leading to a breakout. You can then use this information to plan your trade, such as setting alerts or monitoring for confirmation from other indicators.
Disclaimer:
The Institutional Activity Analysis (IAA) indicator is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult with a financial advisor before making trading decisions. Use this tool responsibly and at your own risk.
First EMA Touch (Last N Bars)Okay, here's a description of the "First EMA Touch (Last N Bars)" TradingView indicator:
Indicator Name: First EMA Touch (Last N Bars)
Core Purpose:
This indicator is designed to visually highlight on the chart the exact moment when the price (specifically, the high/low range of a price bar) makes contact with a specified Exponential Moving Average (EMA) for the first time within a defined recent lookback period (e.g., the last 20 bars).
How it Works:
EMA Calculation: It first calculates a standard Exponential Moving Average (EMA) based on the user-defined EMA Length and EMA Source (e.g., close price). This EMA line is plotted on the chart, often serving as a dynamic level of potential support or resistance.
"Touch" Detection: For every price bar, the indicator checks if the bar's range (from its low to its high) overlaps with or crosses the calculated EMA value for that bar. If low <= EMA <= high, it's considered a "touch".
"First Touch" Logic: This is the key feature. The indicator looks back over a specified number of preceding bars (defined by the Lookback Period). If a "touch" occurs on the current bar, and no "touch" occurred on any of the bars within that preceding lookback window, then the current touch is marked as the "first touch".
Visual Signal: When a "first touch" condition is met, the indicator plots a distinct shape (by default, a small green triangle) below the corresponding price bar. This makes it easy to spot these specific events.
Key Components & Settings:
EMA Line: The calculated EMA itself is plotted (typically as an orange line) for visual reference.
First Touch Signal: A shape (e.g., green triangle) appears below bars meeting the "first touch" criteria.
EMA Length (Input): Determines the period used for the EMA calculation. Shorter lengths make the EMA more reactive to recent price changes; longer lengths make it smoother and slower.
Lookback Period (Input): Defines how many bars (including the current one) the indicator checks backwards to determine if the current touch is the first one. A lookback of 20 means it checks if there was a touch in the previous 19 bars before signalling the current one as the first.
EMA Source (Input): Specifies which price point (close, open, high, low, hl2, etc.) is used to calculate the EMA.
Interpretation & Potential Uses:
Identifying Re-tests: The signal highlights when price returns to test the EMA after having stayed away from it for the duration of the lookback period. This can be significant as the market re-evaluates the EMA level.
Potential Reversal/Continuation Points: A first touch might indicate:
A potential area where a trend might resume after a pullback (if price bounces off the EMA).
A potential area where a reversal might begin (if price strongly rejects the EMA).
A point of interest if price consolidates around the EMA after the first touch.
Filtering Noise: By focusing only on the first touch within a period, it can help filter out repeated touches that might occur during choppy or consolidating price action around the EMA.
Confluence: Traders might use this signal in conjunction with other forms of analysis (e.g., horizontal support/resistance, trendlines, candlestick patterns, other indicators) to strengthen trade setups.
Limitations:
Lagging: Like all moving averages, the EMA is a lagging indicator.
Not Predictive: The signal indicates a specific past event (the first touch) occurred; it doesn't guarantee a future price movement.
Parameter Dependent: The effectiveness and frequency of signals heavily depend on the chosen EMA Length and Lookback Period. These may need tuning for different assets and timeframes.
Requires Confirmation: It's generally recommended to use this indicator as part of a broader trading strategy and not rely solely on its signals for trade decisions.
In essence, the "First EMA Touch (Last N Bars)" indicator provides a specific, refined signal related to price interaction with a moving average, helping traders focus on potentially significant initial tests of the EMA after a period of separation.
Support and Resistance with High Volume Candles + Touch Count# **Indicator Notes: S& R with High Volume Candles + Touch Count - Mehta-**
## **Overview**
This indicator identifies potential **support** and **resistance** levels based on **high-volume candles** and tracks the number of times price touches these levels within a user-defined lookback period.
### **Key Features:**
1. **High-Volume Candle Detection:**
- **Support** is identified from high-volume **green (bullish)** candles.
- **Resistance** is identified from high-volume **red (bearish)** candles.
2. **Touch Count:**
- Tracks how many times price revisits a support/resistance level within a specified lookback period.
- Helps assess the strength of a level (more touches may indicate stronger significance).
3. **Customizable Parameters:**
- **Period:** Adjusts the lookback for average volume calculation.
- **Volume Multiplier:** Sets the threshold for high-volume detection.
- **Touch Count Lookback:** Defines how many bars back to count touches.
- **Line Colors & Label Position:** Customize visual appearance.
## **How to Use**
- **Support/Resistance Breakouts:** Watch for price closing beyond these levels with confirmation.
- **Bounce Trading:** Look for reactions (bounces/rejections) near identified levels.
- **Touch Count Insight:** Higher touch counts may indicate stronger levels.
---
## **Disclaimer**
### **Risk Warning:**
Trading involves substantial risk and may not be suitable for all investors. The use of this indicator does not guarantee profits or eliminate risks associated with trading.
### **Limitations:**
1. **Historical Performance ≠ Future Results:** Past price behavior does not ensure future outcomes.
2. **False Signals:** The indicator may generate levels that do not hold.
3. **Market Conditions:** Works best in trending markets; may produce less reliable signals in choppy conditions.
### **Recommendations:**
- Use in conjunction with other technical analysis tools (e.g., trendlines, moving averages).
- Always apply proper risk management (stop-loss, position sizing).
- Test in a demo account before live trading.
### **No Financial Advice:**
This indicator is for educational purposes only and should not be considered financial advice. Consult a licensed financial advisor before making trading decisions.
DO NOT TRADE BASED ON THIS INDICATOR. TRADING IS A RISK PROCESS
Linear Regression Volume Profile [ChartPrime]LR VolumeProfile
This indicator combines a Linear Regression channel with a dynamic volume profile, giving traders a powerful way to visualize both directional price movement and volume concentration along the trend.
⯁ KEY FEATURES
Linear Regression Channel: Draws a statistically fitted channel to track the market trend over a defined period.
Volume Profile Overlay: Splits the channel into multiple horizontal levels and calculates volume traded within each level.
Percentage-Based Labels: Displays each level's share of total volume as a percentage, offering a clean way to see high and low volume zones.
Gradient Bars: Profile bars are colored using a gradient scale from yellow (low volume) to red (high volume), making it easy to identify key interest areas.
Adjustable Profile Width and Resolution: Users can change the width of profile bars and spacing between levels.
Channel Direction Indicator: An arrow inside a floating label shows the direction (up or down) of the current linear regression slope.
Level Style Customization: Choose from solid, dashed, or dotted lines for visual preference.
⯁ HOW TO USE
Use the Linear Regression channel to determine the dominant price trend direction.
Analyze the volume bars to spot key levels where the majority of volume was traded—these act as potential support/resistance zones.
Pay attention to the largest profile bars—these often mark zones of institutional interest or price consolidation.
The arrow label helps quickly assess whether the trend is upward or downward.
Combine this tool with price action or momentum indicators to build high-confidence trading setups.
⯁ CONCLUSION
LR Volume Profile is a precision tool for traders who want to merge trend analysis with volume insight. By integrating linear regression trendlines with a clean and readable volume distribution, this indicator helps traders find price levels that matter the most—backed by volume, trend, and structure. Whether you're spotting high-volume nodes or gauging directional flow, this toolkit elevates your decision-making process with clarity and depth.
TradeDots - Buy Sell Signals ProThe TradeDots - Buy Sell Signals Pro is an advanced technical analysis tool engineered to identify key market turning points and trend continuations. By combining multiple confirmation methods, this indicator provides traders with a comprehensive system for recognizing high-probability entry and exit points across various market conditions.
📝 HOW IT WORKS
Enhanced Supertrend Implementation
Unlike the traditional Supertrend indicator that simply changes color when price crosses above or below a calculated line, our implementation incorporates multiple layers of confirmation:
Advanced Calculation: Uses an enhanced ATR-based algorithm that incorporates trend bias detection and momentum filtering
Multi-Factor Confirmation: Considers price interaction with previous Supertrend values, not just current crossovers
Contextual Awareness: Distinguishes between different entry types based on market risk levels and momentum conditions
Visual Enhancement: Provides background shading to clearly indicate trend direction and strength
Smart Trendline Algorithm
The indicator employs a proprietary Smart Trendline that adapts to market conditions using an advanced moving average system. Unlike traditional moving averages that simply track price, the Smart Trendline incorporates volatility data to change colors based on momentum strength, providing immediate visual feedback about the current market phase with zero lag.
Calculation: Processes price data through selectable advanced calculation methods (including Hull, Jurik, and McGinley averages) with dynamic color-coding based on a modified Keltner Channel system.
Visualization: Green indicates strong bullish momentum, purple represents bearish momentum, and gray signals consolidation or uncertain conditions.
Multi-Signal Confirmation System
The indicator integrates three distinct signal mechanisms to confirm trading opportunities:
1. RSI-Sequential Reversal Signals: Combines RSI levels with seq count patterns to identify potential short-term reversals.
Calculation: Analyzes RSI conditions against specific thresholds while tracking consecutive pattern formations.
Visualization: Green triangles for buy signals and red triangles for sell signals.
2. Statistical Reversal Signals: Identifies statistically significant deviations from normal price behavior.
Calculation: Uses a modified standard deviation approach to determine when price has moved too far from its statistical average.
Visualization: Large green arrows emoji for powerful buy signals and red arrows emoji for powerful sell signals.
3. Supply & Demand Zone Detection: Automatically identifies key price levels where significant buying or selling pressure may exist.
Calculation: Uses RSI extremes combined with confirmation periods to establish high-probability reversal zones.
Visualization: Green-filled areas mark support (demand) zones and red-filled areas mark resistance (supply) zones.
Buy/Sell Signal Generation
The system generates several types of signals with varying strengths:
1. Regular Buy/Sell Signals: Generated when:
Price crosses with MA above/below the Supertrend line
RSI conditions confirm the direction
Candlestick patterns support the signal direction (bullish/bearish candle formation)
Visualized as green/red triangles
2. Strong Buy/Sell Signals: Appear when multiple confirmation factors align:
Regular buy/sell condition is met
Price is interacting with a Supply/Demand zone
Additional momentum confirmation from auxiliary indicators
Seq count reaches significant levels
Statistical Reversal signal confirms the direction
3. Breakout Signals: Special case signals that appear during:
Trend transitions after consolidation
When price breaks through significant resistance/support levels from previous trend
Following pattern completions that suggest increased momentum
Market Structure Analysis
The indicator categorizes market conditions and provides visual cues for traders:
Trend Identification: Supertrend-based algorithm with enhanced visual presentation identifies the prevailing market direction.
Bar Coloring System: Candles change color based on price position relative to EMAs to clearly display strength and direction of momentum
🛠️ HOW TO USE
Signal Interpretation
Buy Signals: "Buy" signals, Green triangles (RSI-Sequential) and large green arrows (Statistical Reversals) appear at potential buy points.
Sell Signals: "Sell" signals, Red triangles (RSI-Sequential) and large red arrows (Statistical Reversals) appear at potential sell points.
Highest Probability Entries: Occur when signals appear near or within Supply & Demand zones.
Trading Strategies
Trend-Following Strategy
1. Identify the main trend using the Smart Trendline color
2. Enter long positions during uptrends when:
Price pulls back to the Smart Trendline
Green triangles or arrows appear
Signals occur near green demand zones
3. Enter short positions during downtrends when:
Price bounces up to the Smart Trendline
Red triangles or arrows appear
Signals occur near red supply zones
Counter-Trend/Reversal Strategy
1. Look for Statistical Reversal arrows at significant price extremes
2. Confirm with an RSI-Sequential signal in the same direction
3. Pay special attention when these signals appear inside Supply & Demand zones
4. Use the Smart Trendline color change as additional confirmation
Multiple Confirmation Technique
For highest probability trades, look for:
Signal alignment (both signal types in same direction)
Supply/Demand zone interaction
Smart Trendline color supporting the signal direction
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top.
False Signals: Can occur during periods of high volatility or range-bound markets.
Timeframe Sensitivity: Some signals work better on higher timeframes for long-term trading, while others are more effective on lower timeframes for short-term trading.
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This indicator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
PARK Oscillator with BOS Percentage ChangePark Oscillator Pro - Smart Money Flow & Institutional Structure Analysis
Professional-Grade Market Structure Indicator
The Park Oscillator Pro is an advanced trading tool that reveals institutional order flow through:
🔹 Precision Market Structure Detection
Accurate Break of Structure (BOS) identification with volume confirmation
Clear Change of Character (CHoCH) markings for trend reversals
Dynamic polarity system for trend bias visualization
🔹 Post-BOS Performance Metrics (Unique Feature!)
Measures maximum price extension after BOS
Quantifies initial pullback strength (first 3 candles)
Auto-labels showing performance statistics
🔹 Smart Money Zones
Normalized oscillator (-100 to +100)
Premium/Discount areas for institutional levels
Adaptive moving average filter
🔹 Professional Divergence System
Regular & hidden divergences (bullish/bearish)
Customizable sensitivity filters
Visual trendlines connecting pivot points
Why Traders Love It:
✅ Institutional-grade market structure analysis
✅ Objective BOS/CHoCH detection (no repainting)
✅ Quantitative performance metrics for trade management
✅ Fully customizable visual alerts
Ideal For:
Institutional order flow traders
Market structure analysts
Price action traders looking for confluence
Those trading breakouts/breakdowns
"Not just signals - it quantifies the institutional footprint in your market."
Original Gann Swing Chart Rules [AlgoFuego]🔵 Original Gann Swing Chart Rules
An advanced indicator built on W.D. Gann’s original rules, enhanced with innovative mechanical trend-following methods.
🔹 Description
This indicator functions by balancing short-term adaptability with long-term trend analysis.
The indicator incorporates Gann’s principles alongside mechanical trend-following techniques to offer a structured method for analyzing trends and detecting potential market reversals.
Golden Rule: Non-trend bars are excluded from analysis, and each new bar is compared with the previous trend bar, it highlights significant swing points with greater clarity.
🔸 The core concept behind the golden rule on which this indicator is built.
The person watching the tide coming, wanting to pinpoint the exact spot that signals the high tide, places a stick in the sand at the points where the incoming waves reach until the stick reaches a position where the waves no longer rise, and eventually recedes enough to show that the tide has shifted.
This method is effective for monitoring and identifying tides and floods in the stock market.
🔸Rule 1: The trend bar is everything.
→It is a bar that forms a new high, low, or both.
🔸Rule 2: The professional traders track new highs and lows.
🔸Rule 3: The hidden bar is nothing.
→It is a bar that does not form a new high, low, or both.
🔸Rule 4: The sea has a wavy nature, and the market as well.
🔸Rule 5: The slope is the immediate direction of the swing.
Downward slope
→The downslope is the descending slope of a swing, shows a decline, reflecting a bearish price trend.
Upward slope
→The upslope is the ascending slope of a swing, shows an incline, reflecting a bullish price trend.
🔸Rule 6: The start and end of the movement are the swing points.
→The lowest or highest price of the last bar in the direction of the slope represents the swing point after the slopes direction changes.
Valley
→It is the lowest price of the last bar in a downslope before the market turns to a upslope.
End=> Downward slope and Start=> Upward slope
Peak
→It is the highest price of the last bar in a upslope before the market turns to an downslope.
End=> Upward slope and Start=> Downward slope
🔸Rule 7: The Golden Rule: Ignore all no-trend bars and compare the new bar with the previous trend bar.
→Applying the golden rule in upward slope
→Applying the golden rule in downward slope
🔸 Related content: Personal words of W.D Gann from the book Wall Street Stock Selector.
→"This was only one month's reaction the same as March 1925. The market held in a dull narrow range for about 2 months while accumulation was taking place and in June the main trend turned up again."
→The beginning of the main trend and the formation of the Valley.
→The beginning of the main trend and the formation of the Peak.
🔸 Rule 8: The Closing Price of the Bar to Understand Movement Direction.
Sequence is important
→ Downward bar
→ Upward bar
🔸 Outside Bar Rules
→Explanation of rules and calculations.
🔸 How does a trend start?
Upward trend
Trend change from Downward to Upward.
Prices must take out the nearest 'Peak' and the Trend was previously Downward.
A breakout above the previous peak signals a bullish reversal.
→ Model 1 - Dropping Valley Reversal
The market forms a dropping valley, followed by a breakout above the previous peak.
→ Model 2 - Equal Valley Reversal
The market forms an equal valley, followed by a breakout above the previous peak.
→ Model 3 - Rising Valley Reversal
The market forms a rising valley, followed by a breakout above the previous peak.
Downward trend
Trend change from Upward to Downward.
Prices must take out the nearest ‘Valley' and the Trend was previously Upward.
A breakdown below the previous valley signals a bearish reversal.
→ Model 1 - Rising Peak Reversal
The market forms a rising peak, followed by a breakdown below the previous valley.
→ Model 2 - Equal Peak Reversal
The market forms an equal peak, followed by a breakdown below the previous valley.
→ Model 3 - Dropping Peak Reversal
The market forms a dropping peak, followed by a breakdown below the previous valley.
🔸 The fractal nature of markets
Rising wave
→ The rising wave is the entire bull market between turning points
High point : When the Main trend turns from upward to downward, the peak of the primary trend is formed.
Dropping wave
→ The Dropping wave is the entire bear market between turning points.
Low point : When the Main trend turns from downward to upward, the primary trend valley is formed.
Fractal nature application.
Everything in one picture.
🔹 Features
Strict adherence to the rules: Follows the Original Gann Swing Chart Rules to detect swing points.
Fractal analysis: Uses trend bars and fractal analysis to identify swing points.
Robust functionality: Engineered to handle complex market conditions with advanced logic.
Custom alerts: Alerts for peak/valley completion, main and primary trend reversals & continuations.
Golden rule application: Filters out non-trend bars by comparing only with the last trend bar.
Reversal & trend detection: Applies eight outside bar rules to detect trend reversals and continuations.
Dynamic customization: Fully customizable settings.
🔹 Settings overview
Fine-tune the indicator to match your unique trading strategy by adjusting trend settings, customizing alerts, and modifying visualization options.
1. Main trend settings
Hide/Show Main trend options: Instantly hide all main trend options (alerts remain separate).
Main trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite Main trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
2. Primary trend settings
Hide/Show primary trend options: Instantly hide all primary trend options (alerts remain separate).
Primary trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite primary trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
3. Additional options
Tooltips display: Control tooltip visibility for labels and languages.
Candle/Bar coloring: Customize candle and bar colors based on algorithm-selected trends.
🔸 Additional features
🔹Custom reading of bars.
The arrow represents the direction of the slope, the dot is the type of trend, and the line is the closing price.
🔹 Advanced Moving Average Activator
The Advanced Moving Average Activator, this setting calculates the average closing prices of trend bars only, which are the only bars considered by Gann.
The advantage of this method is that it helps avoid hidden bars that are not accounted for, making the difference more evident in a ranging market. The values are updated only when new highs or lows occur.
Additionally, you can set alerts when the price closes above or below the moving average.
🔹 Bar Counter
After a trend change, you can see exactly when the shift occurred and customize the type of trend you want to track.
For example, by conducting your own research on the assets you trade, based on historical data, you might discover valuable insights, such as the primary trend possibly lasting longer than 20 bars!
You can use these insights to refine your trading strategy and make more data-driven decisions.
🔹 How to use
Step 1: Configure the settings and choose your trading approach
Adjust the indicator settings to match your trading style and market conditions.
Effectively using the indicator starts with selecting your preferred trading style.
You can trade in alignment with the primary trend, capitalize on market reversals, or take advantage of breakouts.
Trading with the primary trend: Best for traders who prefer longer-term positions with higher stability.
Trading reversals: Ideal for those looking to enter at potential turning points but requires additional confirmation.
Trading breakouts: Suitable for traders targeting strong price movements after key level breakouts.
Adapting to market volatility: Monitor changing volatility and adjust your strategy accordingly for optimal results.
Step 2: Analyze the chart
Apply the indicator to your TradingView chart and interpret swing signals for informed decisions.
Carefully study the chart patterns to detect subtle signals.
Check if similar signals worked well in past market conditions.
Use multi-timeframe analysis for a broader perspective.
Step 3: Trade with the primary trend
Utilize trend direction to align trades with prevailing market movements.
Always trade in the direction of the primary trend.
Confirm the trend direction using multiple indicators or by relying on the primary trend as confirmation!.
Avoid trading against strong market momentum.
Step 4: Identify entry signals
Use indicator signals to identify ideal trade entry points.
Look for confirmation before entering a trade.
Wait for clear signals to avoid false entries.
Practice on a demo account to build confidence in your entry strategy.
Step 5: Apply risk management
Define stop-loss and take-profit levels to protect your capital effectively.
Set stop-loss orders at strategic levels to limit potential losses.
Risk only a small percentage of your capital per trade.
Adjust risk levels based on your overall portfolio performance.
Step 6: Confirm with trend analysis
Validate trends using additional indicators for a higher probability of success.
Use complementary tools to confirm trend direction.
Monitor trend changes to adjust your strategy promptly.
Keep an eye on volume indicators for added confirmation.
Step 7: Execute the trade
Enter trades based on confirmed signals and predefined strategy rules.
Ensure all your criteria are met before executing a trade.
Stay disciplined and stick to your strategy.
Review market conditions right before execution.
Step 8: Monitor the trade
Track trade performance and make adjustments as necessary.
Keep an eye on market conditions throughout the trade.
Be ready to adjust your strategy if unexpected events occur.
Use trailing stops to secure profits while allowing for gains.
Step 9: Implement exit strategy
Close trades strategically based on your pre-established exit plan.
Plan your exit strategy in advance and adhere to it.
Consider partial exits to secure profits along the way.
Avoid emotional decisions when closing trades.
Step 10: Review performance
Analyze past trades to continuously refine and improve your strategy.
Regularly review and document your trades for insights.
Identify patterns in both your successes and mistakes.
Update your strategy based on comprehensive performance reviews.
🔹 Disclosure
While this script is useful and provides insight into market tops, bottoms, and trend trading, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
TR FVG & Swing High Low FinderTR FVG & Swing Level Finder
Overview:
The TR FVG & Swing Level Finder is a powerful Pine Script indicator designed for traders who want to identify Fair Value Gaps (FVGs) and Swing Highs/Lows on their charts. This indicator combines two essential technical analysis tools into one, helping traders spot potential areas of support, resistance, and trend reversals. FVGs are price gaps that often act as areas of interest for price to return to, while swing highs and lows help identify key turning points in the market. The indicator is highly customizable, allowing users to adjust colors, limits, and display options to suit their trading style.
Key Features:
1: Fair Value Gap (FVG) Detection:
- Identifies Bullish FVGs: Occur when the high of two candles ago is lower than the low of the current candle, indicating a potential upward price movement.
- Identifies Bearish FVGs: Occur when the low of two candles ago is higher than the high of the current candle, indicating a potential downward price movement.
- Displays FVGs as colored boxes on the chart, with customizable border and fill colors based on the timeframe.
- Labels each FVG box with the corresponding timeframe (e.g., "1m FVG", "1h FVG", "Daily FVG").
2: Swing High and Swing Low Detection:
- Detects Swing Highs: A 3-candle pattern where the middle candle's high is higher than the highs of the candles on either side.
- Detects Swing Lows: A 3-candle pattern where the middle candle's low is lower than the lows of the candles on either side.
- Draws a solid black line with 50% opacity at each swing high and low, extending 5 bars to the right for better visibility.
- Adds a small Swing High or Swing Low label at the right end of each line, colored according to user-defined settings.
3: Timeframe-Specific FVG Visualization:
- FVGs are color-coded based on the chart's timeframe, making it easy to distinguish between FVGs on different timeframes.
- Each timeframe has its own fill color for bullish and bearish FVGs, with adjustable transparency for better chart clarity.
- A dashed black line is drawn in the middle of each FVG box to highlight the midpoint of the gap.
4: Customizable Display Options:
- FVG Limit: Control the maximum number of FVGs displayed on the chart (from 1 to 20).
- Extend Options for FVG Boxes:
- "None": FVG boxes extend only 2 bars to the right.
- "Limited": FVG boxes extend a user-defined number of candles to the right (1 to 100 candles).
- "Default": FVG boxes extend 3 bars to the right of the current bar.
- Color Customization:
- Set border colors for bullish and bearish FVGs.
- Adjust fill colors for FVGs on different timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Customize the colors of swing high and swing low labels.
5: Performance Optimization:
- The indicator only plots FVGs and swings on the last confirmed bar (barstate.islastconfirmedhistory), ensuring efficient performance and reducing chart clutter.
- Limits the number of displayed FVGs and swings to the user-defined fvgLimit, keeping the chart clean and focused on the most recent price action.
6: Inputs and Customization:
- Number of FVGs to Show (fvgLimit): Set the maximum number of FVGs and swings to display (default: 3, range: 1 to 20).
- Bullish FVG Border Color (bullishColor): Choose the border color for bullish FVGs (default: green).
- Bearish FVG Border Color (bearishColor): Choose the border color for bearish FVGs (default: red).
- Swing High Color (swingHighColor): Set the color for swing high labels (default: blue).
- Swing Low Color (swingLowColor): Set the color for swing low labels (default: purple).
- Extend Options:
- Extend Option (extendOption): Choose how far FVG boxes extend to the right ("None", "Limited", or "Default"; default: "Default").
- Extend Candles (extendCandles): If "Limited" is selected, specify the number of candles to extend FVG boxes (default: 8, range: 1 to 100).
- Timeframe-Specific Fill Colors:
- Customize fill colors for bullish and bearish FVGs on various timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Each fill color has a default transparency (e.g., 93% for most timeframes, 90% for 30m), which can be adjusted as needed.
How to Use:
1: Add the Indicator to Your Chart:
- Open TradingView, go to the Pine Editor, and paste the script.
- Click "Add to Chart" to apply the indicator to your current chart.
2: Adjust Settings:
- Open the indicator settings by clicking the gear icon next to the indicator name on your chart.
- Modify the inputs to suit your preferences:
- Set the number of FVGs and swings to display.
- Choose your preferred colors for FVGs and swings.
- Adjust the extend options for FVG boxes.
3: Interpret the Indicator:
- FVG Boxes: Look for colored boxes on the chart, which represent Fair Value Gaps. Bullish FVGs (green borders by default) suggest potential buying opportunities, while bearish FVGs (red borders by default) suggest potential selling opportunities. The label inside each box indicates the timeframe of the FVG.
- Swing Highs and Lows: Identify key turning points with solid black lines (50% opacity) at swing highs and lows. Each line extends 5 bars to the right, with an "SH" (Swing High) or "SL" (Swing Low) label at the end. Swing highs can act as resistance levels, while swing lows can act as support levels.
4: Combine with Your Strategy:
- Use FVGs to identify areas where price might return to fill the gap, often acting as support or resistance.
- Use swing highs and lows to spot potential trend reversals or to set stop-loss and take-profit levels.
- Combine the indicator with other tools (e.g., trendlines, moving averages) for a more comprehensive trading strategy.
Notes:
- The indicator works on all timeframes, but the appearance of FVGs and swings will vary depending on the chart's timeframe.
- For best results, use the indicator on a clean chart to avoid visual clutter, especially if you increase the fvgLimit.
- The swing high/low lines are drawn with 50% opacity to ensure they don’t overpower other chart elements, but they are still clearly visible.
Author’s Note:
This script was developed to help traders identify key price levels with ease. I hope it adds value to your trading! If you have any feedback or suggestions for improvement, feel free to leave a comment. Happy trading!
Cryptoin Awesome Indicator - Market StructureCryptoin Awesome Indicator - Market Structure (CAI-MS) 🌟
The Cryptoin Awesome Indicator - Market Structure (CAI-MS) is an advanced, proprietary overlay tool designed to decode market structure and price action dynamics with precision. Unlike traditional indicators that rely on lagging oscillators or moving averages, CAI-MS focuses on real-time swing point analysis and structural breakouts, offering traders a clear, actionable framework for identifying trend shifts, continuations, and key decision zones in forex, stocks, or crypto markets. 📊
What It Does: 📝
CAI-MS maps the market’s structural evolution by detecting and classifying swing points—Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL)—based on a customizable lookback period. It then tracks price interactions with these levels to signal two critical events:
✅ Break of Structure (BOS): When price breaches a prior swing high or low, indicating potential trend continuation. 🚀
✅ Change of Character (CHoCH): When price invalidates the most recent swing in the opposite direction, suggesting a possible reversal. 🔄
Additionally, it plots fixed-length liquidity zones (BSL/SSL) derived from unbroken swing levels, helping traders anticipate support/resistance or stop-loss hunting areas. 🛡️
How It Works: ⚙️
The indicator uses a unique swing detection algorithm that analyzes price extremes over a user-defined number of bars (Swing Length). This avoids the noise of smaller fluctuations and focuses on significant pivots. Once a swing point is confirmed:
✅ It labels the pivot (e.g., HH, LH) to reflect the current structure. 🏷️
✅ If price breaks a prior high or low, a BOS line is drawn to mark the breakout, visually connecting the breached level to the breakout candle. 📏
✅ If the breakout reverses the prior trend (e.g., breaking a LH in a downtrend), it flags a CHoCH, alerting traders to a potential shift. ⚠️
✅ Unbroken swing levels extend as BSL/SSL lines for a fixed duration, offering strategic reference points. 🎯
This methodology combines structural analysis with breakout confirmation, distilled into a clean, overlay format that doesn’t clutter charts with redundant data.
Key Features: ✨
✅ Swing Point Detection: Identifies and labels HH, LH, HL, and LL with adjustable sensitivity, ensuring relevance across timeframes. 🔍
✅ BOS & CHoCH Visualization: Plots breakout lines and labels to highlight trend momentum or reversal setups. 📈
✅ Liquidity Zones (BSL/SSL): Extends prior swing levels as potential support/resistance, with customizable length and style. 🧱
✅ Customization: Toggle labels on/off, adjust line colors, styles (solid, dashed, dotted), and thickness to match your workflow. 🎨
✅ Original Approach: Unlike public tools relying on MAs or RSI, CAI-MS uses a proprietary pivot-based system tailored for structure traders. 🦄
Why It’s Valuable: 💎
This isn’t a mashup of classic indicators—it’s a purpose-built solution for market structure enthusiasts. Public scripts often flood charts with generic signals; CAI-MS delivers focused, context-aware insights by synthesizing swing analysis, breakout detection, and liquidity projection into one cohesive tool. Its closed-source design protects a unique algorithm that adapts to price action without overfitting or repackaging common techniques.
How to Use It: 🛠️
✅ Trend Continuation: Enter long after a BOS above a prior HH, or short below a prior LL, using BSL/SSL as take-profit zones. 📈
✅ Reversal Trades: Watch for CHoCH signals (e.g., price breaking a LH in a downtrend) to anticipate shifts, with BSL/SSL as stop-loss guides. 🔄
✅ Scalping/Swing Trading: Adjust Swing Length (e.g., 10 for scalping, 50 for swings) to match your timeframe. ⏱️
Pair it with a clean chart (no other indicators needed) to maximize clarity—add drawings like trendlines if desired, but the indicator stands alone.
Customization Options: 🖌️
✅ Swing Length: Increase (e.g., 50) for fewer, stronger pivots; decrease (e.g., 10) for more frequent signals. ⚖️
✅ Visuals: Enable/disable swing labels, tweak BOS line styles, or adjust BSL/SSL length (default: 50 bars). 🎚️
