Timeframe Continuity BarsTimeframe Continuity Bars is a script that is extremely simple for good reason
So please, do not remove this post because it seems 'simple'
Now that's over with. Lets dive in to understand what timeframe continuity IS and what this indicator does.
Timeframe continuity is defined by 4 or more timeframes and it is the relationship of the last price traded to those 4 opening prices. Standard timeframe continuity would be using the M,W,D,60min timeframes.
The reason we use MTF analysis is because of the truth of what price is and how it works.
Price movement is SOLELY caused due to aggressive buying / selling. Some may attempt to refute this however at the end of the day. If the price is at 100.00 it is because a buyer is willing to buy there and a seller is willing to sell there. If those market participants did not want to buy or sell at 100.00 price would go up or down to meet the more aggressive participant.
So what does this look like you may ask...
If an aggressive buyer takes the offer we will see prices go up if they were willing to pay more than the last guy who took the offer.
So price may go from 100.00 to 100.01 because you decided to invest in that stock that day at that time with a market order
This same thing occurs when every other institution creates, adds, reduces, or exits a position. They have to buy or sell and they have to either do it aggressively or do it passively by sitting on the bid / ask and waiting.
So since this is true, we know that the relationship to the opening price is extremely important. This is because if price is above it's open that means buyers were willing to take the offer and buy at higher prices. If price is below it's open it means that sellers were willing to sell at the bid and they sold at lower prices.
So any candlestick chart is simply an aggregation of this aggressive buying/selling that is taking place at all times.
By using the timeframe continuity bars indicator we can measure the distance from the current open across 4 or more timeframes.
By doing this we can identify monthly participation groups, weekly participation groups, daily participation groups, and 60min participation groups.
When all those groups align green or red this is considered full timeframe continuity. Where the monthly weekly daily 60min groups are all taking the offer and buying, or all selling at the bid!
When this aligns this is when price is for CERTAIN going in one direction.
However, It is subject to change every 60 minutes as the 60min determines if those monthly weekly daily buyers are present RIGHT NOW.
So if the 60min changes we go into direct conflict against the month/week/day groups.
If we see the 60min and day align we go into direct conflict against the month/week
if the 60min day and week are red we over-take the monthly group for control. At the time of the week day and 60 being red we have ZERO evidence of the previous monthly buyer/seller that was present.
Now that you understand a little bit about continuity.. Check it out on the chart!
P.S Here is some tips
1) it is not about just all timeframes aligning, we want to see long green / red bars!
2) The opens reset on a cyclical basis. Each day, each week, each month... When the new timeframes open we will see timeframes have the SAME open. When the opens are the same price we have LESS evidence versus having all opens seperate.
3) Investors can use the Y Q M W as their 4 timeframes to see when institutional buying is occurring [go do a case study on AMEX:GLD and AMEX:SLV weekly timeframe with these settings]
4) You need to add 4 separate indicators and change the timeframes. It is ideal to then save this layout!
5) The best way to do price analysis is using #TheStrat across all 4 timeframes instead of one timeframe with this indicator. This is soley a tool we use to show changing of control between participation groups!
Patrones de gráficos
ORB + Key Session Levels (QC)Overview
A comprehensive session-based levels indicator that plots Opening Range Breakout (ORB) levels alongside key session highs and lows from Asian, London, and New York trading sessions.
Features
• Opening Range Breakout (ORB) with configurable duration (5m/15m/30m/1hr/custom)
• Previous Day High/Low with two modes: RTH Only (9:30-4:00 ET) or Full Session (6pm-5pm ET for futures)
• Asian, London, NY AM, and NY PM session levels
• Kill Zones mode (non-overlapping) vs Full Sessions mode
• Fair Value Gap detection with optional mitigation removal
• HTF Bias dashboard showing market structure
• Lines extend from the exact candle where highs/lows occurred
• Alerts for all level breaks
Kill Zone Defaults (ET)
• Asian: 8:00 PM - 12:00 AM
• London: 2:00 AM - 5:00 AM
• NY AM: 8:30 AM - 11:00 AM
• NY PM: 1:30 PM - 4:00 PM
How To Use
1. Select Session Mode (Kill Zones or Full Sessions)
2. Choose PDH/PDL Source (RTH for equities, Full Session for futures)
3. Customize session times as needed
4. Set up alerts for level breaks
All times are in Eastern Time (ET) and fully customizable.
This indicator is for educational purposes only. Not financial advice.
BPR [TFO] - ModifiedThis is a modified version of the original "BPR " indicator. It plots balanced price ranges the same way as the original indictor did. The only additions are a 50% line in the BPR box and an extend right feature.
High-volume buy and sell signals with OB and FVGBuy and sell signals on ob
Pivot Point Usage: Instead of detecting each candle of an opposite color, the script uses `ta.pivothigh/low`. This means it only marks a Pivot Point if the price has actually made a significant high or low relative to the 10 preceding and following candles.
Dynamic Cleanup (Mitigation): As soon as the price returns to "fill" the area (depending on your choice: simple contact or close), the box disappears from the chart. This keeps your view clean and focused on the remaining untouched areas.
Period Setting: You can increase the "Detection Period" (e.g., from 10 to 20) in the settings to filter out even more noise and keep only the major areas.
How to use it?
Act AlgoPanneer Selvam is inviting you to a scheduled Zoom meeting
Topic: Online Follow-Up Session (Every Sunday)
Time: 07:00 AM (IST)
SMC Pro : OB Longues + FVGHow does this indicator work?
Fair Value Gaps (FVG): It identifies price imbalances (gaps between the wick of candle 1 and candle 3). They appear as small, light-colored rectangles.
Order Blocks (OB): It marks "Smart Money" candles that precede a strong impulse. These areas are extended to the right because they often act as future support or resistance.
Signals (BUY/SELL): The indicator displays a signal when it detects a confluence (for example, a bullish OB appearing right after an FVG).
Some friendly trading tips:
Timeframe: This indicator works best on higher timeframes (15m, 1h, 4h) to avoid market "noise."
Confirmation: Don't take a "BUY" signal on its own. Check if the overall trend (on a higher timeframe) is also bullish.
Risk management: Always place your Stop Loss just below the identified Order Block.
Strong Daily Reversal Arrows / Labels
🔁 Reversal indicator on the daily time frame
Bullish Reversal
✔ Previous day was bearish
✔ Today is bullish
✔ Today closes above previous day close
Bearish Reversal
✔ Previous day was bullish
✔ Today is bearish
✔ Today closes below previous day close
DayTradeMind Combined High Win Rate StrategyThe DayTradeMind Combined High Win Rate Strategy is a trend-following system that relies on confluence—the idea that a trade signal is stronger when multiple independent indicators agree. Instead of entering on a single indicator's whim, it uses a "voting" system to qualify entries and a strict risk-to-reward ratio to manage exits.Here is a breakdown of the three main layers of this strategy:1. The Voting Engine (Confluence Model)The strategy tracks four indicators and assigns a "point" for a bullish or bearish bias. It requires a minimum number of points (set by minConfirmations, usually 2/4) before it even considers a trade.IndicatorBullish Condition (1 point)Bearish Condition (1 point)PurposeMACDMACD Line > Signal LineMACD Line < Signal LineMeasures short-term momentum.DonchianPrice > 20-period MedianPrice < 20-period MedianIdentifies price relative to recent range.SuperTrendPrice above trend linePrice below trend lineFilters for the "Macro" trend direction.%B (Bollinger)Price in lower-mid range (0.2–0.5)Price in upper-mid range (0.5–0.8)Prevents buying when overextended.2. The Entry TriggerHaving enough "votes" (confirmations) isn't enough to enter. The strategy waits for a trigger event to ensure you aren't entering a stale trend. An entry only occurs if the minimum confirmations are met AND one of the following happens on the current bar:MACD Cross: The MACD line crosses over the signal line.Structural Break: The price crosses over the Donchian Middle (Median) line.This "Confirmation + Trigger" approach is designed to catch the start of a momentum push rather than buying a flat market.3. Mathematical Risk ManagementThe performance you see in your backtest (like the 46.86% return) is largely driven by the 2:1 Reward-to-Risk (RR) Ratio.Stop Loss (SL): Fixed at 2% below entry.Take Profit (TP): Fixed at 4% above entry.By aiming for a target twice as large as the risk, the strategy can remain profitable even with a win rate as low as 35%–40%. Mathematically, your winning trades compensate for more than two losing trades.Visualizing the SystemTriangles: Small green (up) and red (down) triangles appear on your chart only when the Votes + Trigger align perfectly.Background Shading: Faint green or red bands show you exactly when the "Confluence" is active. If the background is gray, the indicators are in conflict.Dashboard: The table in the top-right summarizes the current "score" for each indicator, letting you know how close you are to a potential trade signal.
Gtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingview
Clean SMC: Filtered OB + FVGHow does this indicator work?
Fair Value Gaps (FVG): It identifies price imbalances (gaps between the wick of candle 1 and candle 3). They appear as small, light-colored rectangles.
Order Blocks (OB): It marks "Smart Money" candles that precede a strong impulse. These areas are extended to the right because they often act as future support or resistance.
Signals (BUY/SELL): The indicator displays a signal when it detects a confluence (for example, a bullish OB appearing right after an FVG).
Some friendly trading tips:
Timeframe: This indicator works best on higher timeframes (15m, 1h, 4h) to avoid market "noise."
Confirmation: Don't take a "BUY" signal on its own. Check if the overall trend (on a higher timeframe) is also bullish.
Risk management: Always place your Stop Loss just below the identified Order Block.
Auto Chart Patterns- Market AdaptedAuto Chart Patterns - Code Description
This Pine Script v5 indicator is a sophisticated automated chart pattern detection system that identifies geometric price patterns using zigzag analysis. Here's a comprehensive breakdown:
🎯 Purpose
Automatically detects and visualizes classic chart patterns (channels, wedges, triangles) on any timeframe by analyzing price pivot points.
📦 Dependencies (Imports)
text
- HeWhoMustNotBeNamed/utils/1 → Utility functions (theme colors)
- Trendoscope/ohlc/1 → OHLC data handling
- Trendoscope/LineWrapper/1 → Line drawing utilities
- Trendoscope/ZigzagLite/2 → Zigzag pivot detection
- Trendoscope/abstractchartpatterns/5 → Pattern definitions
- Trendoscope/basechartpatterns/6 → Pattern recognition logic
⚙️ Input Parameters
1. Source Settings
Custom OHLC sources (default: standard OHLC)
2. Zigzag Settings (4 Independent Zigzags)
Zigzag Enabled Length Depth Purpose
ZZ1 ✅ 8 55 Primary - catches larger swings
ZZ2 ✅ 13 34 Secondary - medium swings
ZZ3 ❌ 21 21 Tertiary - balanced
ZZ4 ❌ 34 13 Quaternary - smaller swings
3. Scanning Parameters
Parameter Default Description
numberOfPivots 5 Points needed for pattern (5 or 6)
errorThreshold 30% Tolerance for trendline validation
flatThreshold 20% Slope ratio for "flat" determination
lastPivotDirection both Filter by final pivot direction
checkBarRatio false Validate time proportionality
avoidOverlap true Prevent overlapping patterns
repaint true Use real-time or confirmed bars
4. Pattern Groups
Geometric Shapes:
✅ Channels
✅ Wedges
✅ Triangles
Direction:
✅ Rising
✅ Falling
✅ Flat/Bi-Directional
Formation Dynamics:
✅ Expanding
✅ Contracting
✅ Parallel
📊 Detected Pattern Types (14 Total)
text
INDEX | PATTERN TYPE | CATEGORY
------|--------------------------------|------------------
1 | Ascending Channel | Parallel/Rising
2 | Descending Channel | Parallel/Falling
3 | Ranging Channel | Parallel/Flat
4 | Rising Expanding Wedge | Expanding/Rising
5 | Falling Expanding Wedge | Expanding/Falling
6 | Diverging Triangle | Expanding/Flat
7 | Ascending Expanding Triangle | Expanding/Rising
8 | Descending Expanding Triangle | Expanding/Falling
9 | Rising Contracting Wedge | Contracting/Rising
10 | Falling Contracting Wedge | Contracting/Falling
11 | Converging Triangle | Contracting/Flat
12 | Descending Contracting Triangle| Contracting/Falling
13 | Ascending Contracting Triangle | Contracting/Rising
🏗️ Core Architecture
Scanner Type (Custom Object)
JavaScript
type Scanner
bool enabled
string ticker
string timeframe
ScanProperties sProperties // Scanning configuration
DrawingProperties dProperties // Visual settings
array patterns // Detected patterns storage
array zigzags // Zigzag pivots storage
Key Methods
getZigzagAndPattern()
Calculates zigzag pivots from price data
When new pivot detected → scans for patterns
Requires minimum 6 pivots in buffer
Uses multi-level zigzag analysis
Validates patterns against allowed configurations
scan()
Creates OHLC array from sources
Iterates through enabled zigzags (1-4)
Calls pattern detection for each zigzag configuration
🔄 Execution Flow
text
1. Initialize Scanner with all properties
2. On each bar (confirmed or real-time based on 'repaint'):
│
├─→ Build OHLC array
│
├─→ For each enabled Zigzag:
│ ├─→ Calculate pivots
│ ├─→ If new pivot detected:
│ │ ├─→ Scan for valid patterns
│ │ ├─→ Draw pattern if found
│ │ ├─→ Store in patterns array
│ │ ├─→ Trim old patterns (if > maxPatterns)
│ │ └─→ Trigger alert
│ └─→ Move to next zigzag level
│
└─→ Repeat on next bar
🎨 Display Features
Theme: Light/Dark mode
Pattern lines: Customizable width
Labels: Pattern name + pivot labels (with size options)
Zigzag: Optional display with custom color
Pattern limit: Auto-deletes oldest when exceeding max (default: 20)
⚡ Alerts
Triggers 'New Pattern Alert' when any valid pattern is detected.
💡 "Market Adapted" Features
Dual zigzag enabled by default (ZZ1 + ZZ2) for multi-timeframe sensitivity
Higher error threshold (30%) for volatile markets
Flexible pivot direction filtering per pattern type
Overlap avoidance to reduce noise
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
WatchmenThe Watchmen Indicator tracks potential market maker breakeven zones using dynamic open/close ranges (no wicks in Fib calc). It expands the range until the 50% level is breached by the full candle range, then resets. Green = long/down setups (buy retrace), Red = short/up setups (sell retrace). Uses only open/close for levels, high/low for breaches. Ideal for mean-reversion in trends.
Gold Pin Bar Pivot Alerts - FixedThis script is designed for the high volatility of Gold (XAU/USD). It identifies Pin Bars with body less than 30% of the candle's total range, and the candle occuring at a structural Pivot High or Pivot Low
Gann Octogram - Sacred Geometry Confluence Ver 1.0📐 Gann Octogram - Sacred Geometry Confluence Ver 1.0
Overview
Advanced Gann analysis tool combining W.D. Gann's Square of Nine principles with sacred geometry and multi-factor confluence signals. This indicator automatically detects swing highs/lows and projects octogram grids forward in time and price, identifying high-probability trading opportunities where multiple factors align.
Understanding Gann Octograms
W.D. Gann believed markets move in geometric patterns through time and price. The octogram (8-sided figure) represents the square of nine principle where:
Price divisions (1/8ths) create natural support/resistance
Time cycles mark potential reversal points
Diagonal angles show dynamic price-time relationships
Confluence zones where geometry aligns offer highest probability trades
This indicator makes these complex calculations automatic and visual.
Key Features
🎯 Intelligent Auto-Detection
Auto Gann Number Selection: Automatically chooses optimal Gann period (11, 22, 44, 88, 176) based on timeframe and data availability
Adaptive Half-Period Mode: Uses Gann/2 for faster swing detection while validating with full period
Smart Grid Projection: Projects octagrams near current price action for relevance
📊 Sacred Geometry Visualization
Octogram Grids: Complete octagonal geometry with inner square, angled square, and connecting lines
Gann Angles: 1×1 and 2×1 diagonal support/resistance angles
Time Cycles: Quarter, half, and three-quarter cycle markers
Price Levels: Automatic 1/8th division levels (0%, 12.5%, 25%, 37.5%, 50%, 62.5%, 75%, 87.5%, 100%)
⚡ Advanced Confluence System
Adjustable 4-Factor Confluence (Levels 0-4):
Price Level Touch: Precise detection of key support/resistance levels
Time Cycle Alignment: Major (25%, 50%, 75%) and minor (1/8th divisions) cycles
Octogram Geometry: Proximity to vertices and diagonal angles
Price Action: Bullish/bearish candle confirmation
Confluence Levels:
Level 0: Signals on price touch only (most signals)
Level 1: Minimum 1 factor required
Level 2: Minimum 2 factors (⭐ recommended - balanced)
Level 3: Minimum 3 factors (strict quality)
Level 4: All 4 factors required (highest quality, fewer signals)
🛡️ Signal Quality Controls
Max Signals Per Cell: Limit signals to 1-10 per grid cell
Cooldown Period: Minimum bars between consecutive signals
Cell Signal Tracking: Automatic reset when entering new time cells
Adjustable Tolerances: Fine-tune price and geometry sensitivity
How It Works
Swing Detection: Identifies significant market swings using pivot highs/lows
Grid Construction: Builds octogram grid from swing high to swing low
Multi-Grid Projection: Projects multiple cells forward (time) and vertically (price)
Confluence Analysis: Monitors all 4 factors continuously
Signal Generation: Fires BUY/SELL when confluence threshold is met
BUY Signals trigger when:
Price touches LOW zones (0%-50%)
At key time cycle points
Near octogram geometry
Bullish candle forms
SELL Signals trigger when:
Price touches HIGH zones (50%-100%)
At key time cycle points
Near octogram geometry
Bearish candle forms
Settings Guide
Structure Settings
Auto Gann Number: Enable for automatic period selection (recommended)
Manual Gann Number: 11, 22, 44, 88, or 176 bars
Use Half Period: Faster detection using Gann/2 lookback
Grid Stability: Adaptive (1/8th) / Strict (1/4th) / Relaxed (1/16th)
Signal Settings ⚙️
Confluence Level: 0-4 (start with 2)
Price Tolerance: 1-8% (default 3%)
Geometry Tolerance: 0.5-5% (default 2.5%)
Min Bars Between Signals: 1-20 (default 3)
Max Signals Per Cell: 1-10 (default 4-6)
Display Options
Toggle grid squares, octagrams, triangles, Gann angles
Customizable colors for all elements
Time cycle visualization
Swing high/low markers
Info panel with swing statistics
Best Practices
For Day Trading (5min-15min charts):
Confluence Level: 2
Auto Gann: ON
Grid Stability: Adaptive
Max Signals Per Cell: 4-6
For Swing Trading (1H-4H charts):
Confluence Level: 3
Auto Gann: ON
Grid Stability: Strict
Max Signals Per Cell: 2-4
For Position Trading (Daily charts):
Confluence Level: 3-4
Manual Gann: 88 or 176
Grid Stability: Strict
Max Signals Per Cell: 2-3
Alert Setup
Built-in alert conditions:
Gann Octogram Buy - Fires on BUY signal
Gann Octogram Sell - Fires on SELL signal
Configure alerts using TradingView's alert system to get notified when confluence zones trigger.
Backtesting Tips
Start with Confluence Level 2 (balanced approach)
Increase level to 3-4 if too many signals
Decrease to 1 if missing opportunities
Adjust tolerances based on asset volatility
Test different Gann numbers for your specific market
Credits & Theory
Based on W.D. Gann's principles:
Square of Nine
Time-Price Geometry
Sacred Geometry (Octograms)
Natural Market Cycles
Developed with modern Pine Script for reliability, efficiency, and user control.
Version History
Ver 1.0 - Initial Release
4-factor confluence system
Auto Gann number selection
Adjustable confluence levels (0-4)
Sacred geometry visualization
Signal quality controls
Support
For questions, suggestions, or issues:
Comment on this indicator
Check the code (open source)
Experiment with settings for your trading style
Happy Trading! 📈
Disclaimer
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. Backtest thoroughly before live trading.
Zap Super Line// Zap - Close Line Color by SMA20, MACD, RSI
// Description: Line turns green when close > SMA20 and MACD rising or above signal; red otherwise. RSI > 70 turns purple; RSI < 30 turns gray.
// Author: Ron Belson
// Email: ronbelson@gmail.com
Magnitude of MovementThie calculase the ratio between Mod of Open Price-Current Price and Mod of Open Volume and current volume
Smart Scalper Pro Template + VWAP
📌 Author
Garry Evans
Independent system developer focused on:
Risk-first automation
Market structure & liquidity behavior
Discipline, consistency, and capital preservation
“The edge isn’t the market — it’s the man who survives it.”
⚙️ Risk Management & Position Sizing
The script is built around capital protection, not signal frequency.
Risk logic includes:
Fixed or dynamic risk per trade
Market-adaptive position sizing
Session-based trade limits
Daily trade caps and auto-lockout protection
Volatility-aware sizing (futures & crypto)
⚠️ Profit is pursued only after risk is controlled.
📊 Track Record
Backtested across multiple market environments
Forward-tested and actively used by the author
Real-account trades are logged where platform rules allow
Results vary by market, timeframe, and user-defined risk settings.
🌍 Supported Markets
Designed to work across all liquid markets, including:
Stocks
Crypto (spot & futures)
Options (signal-based framework)
Futures (indices, metals, crypto futures)
The system adapts to volatility and structure — it is not market-specific.
⚖️ Leverage
Leverage is not required
If used, leverage is fully user-controlled
Risk logic scales exposure conservatively
No martingale.
No revenge sizing.
No over-exposure logic.
🧪 Backtesting
✔ Yes
Strategy logic has been backtested
Filters reduce chop, noise, and forced trades
Focus on drawdown control over curve-fitting
🛠 Support
✔ Yes
Direct author support
Ongoing improvements and updates
Feature refinement based on real usage and feedback
👥 Community
✔ Yes
Private user access
High-quality feedback environment
No public signal spam or hype-driven chat rooms
⏳ Trial Period
✔ Yes
Limited trial access available
Designed for evaluation only
Trial users do not receive full feature access
🚫 Who This Script Is NOT For
This system is not for:
Traders looking for guaranteed profits
Users expecting copy-paste “signal calls”
Over-leveraged gamblers
Those unwilling to follow risk rules
Anyone seeking overnight results
This is a discipline and automation tool, not a shortcut.
🧠 Final Positioning
This is not a signal service.
This is a risk-controlled execution framework designed to:
Enforce discipline
Reduce emotional trading
Protect capital during bad market conditions
Scale responsibly during favorable ones
Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry.
The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts.
🧠 Strategy Logic
The system makes decisions based on a strict 4-step hierarchy:
Higher Timeframe (HTF) Bias:
Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow.
Structure & BOS (Break of Structure):
Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits.
Fibonacci Zone Pullback:
It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio.
Validation & Trigger:
Uses an ATR expansion check to filter out low-volatility periods.
Requires candle confirmation and alignment with fast EMAs before pulling the trigger.
🛡️ Risk Management
The system incorporates advanced position management using a split execution model (50/50):
Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection).
TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even.
TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves.
Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit.
⚙️ Settings & Features
The script is highly customizable for different assets (Crypto, Forex, Indices):
Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market).
Auto Trendlines: Automatically draws relevant trendlines for visual support.
Quality Filters: Options to toggle the EMA 200 filter and breakout buffers.
⚠️ Disclaimer
This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
D1 High/LowThis indicator automatically plots the previous day’s high and low (D1) as thin dashed horizontal lines on the chart.
The levels are calculated strictly from yesterday’s daily candle only.
The lines are anchored directly at the previous day’s candle and extend to the right, matching institutional-style reference levels.
Visible on Daily (D1) and all lower timeframes (H4, H1, M15, etc.).
The lines reset at the start of each new trading day to reflect the latest completed session.
Designed as a context and liquidity reference, not as a predictive indicator.
Daily Support/Resistance Points (Historical Days)indicator plots support and resistance levels derived from historical price action. It analyzes higher‑timeframe candles (Daily/Weekly/Monthly) and ranks levels by strength and number of touches, then draws the most relevant levels around the current price. If no strong levels are found, it falls back to touch‑based levels so you still get meaningful lines.
How to Use:
Add the script to any chart.
Choose Levels Timeframe:
Auto (recommended): follows the chart timeframe (D/W/M).
D / W / M: force a specific timeframe.
Set lookback windows:
Lookback Days (D) – default 200
Lookback Weeks (W) – default 104
Lookback Months (M) – default 60
Adjust sensitivity:
Min Strength – filters weaker levels.
Volume Multiplier – requires higher volume for stronger levels.
Time Decay – gives more weight to recent data.
Min Touches (Fallback) – used when no strong levels are found.
Optional: enable Show Debug Info to see how many levels are detected.
Open Source & License:
This script is open source under the MIT License. You are свободно to use, modify, and share it with attribution.
Author / Contact:
Ron Belson
For questions or requests, contact: ronbelson@gmail.com
Clean SMC: Filtered OB + FVGHow does this indicator work?
Fair Value Gaps (FVG): It identifies price imbalances (gaps between the wick of candle 1 and candle 3). They appear as small, light-colored rectangles.
Order Blocks (OB): It marks "Smart Money" candles that precede a strong impulse. These areas are extended to the right because they often act as future support or resistance.
Signals (BUY/SELL): The indicator displays a signal when it detects a confluence (for example, a bullish OB appearing right after an FVG).
Some friendly trading tips:
Timeframe: This indicator works best on higher timeframes (15m, 1h, 4h) to avoid market "noise."
Confirmation: Don't take a "BUY" signal on its own. Check if the overall trend (on a higher timeframe) is also bullish.
Risk management: Always place your Stop Loss just below the identified Order Block.






















