HTF Order Blocks [TradeWithRon]HTF Order Blocks is a clean, multi-timeframe order-flow tool that maps bullish/bearish order blocks and optional breaker blocks from higher timeframes onto your current chart. It’s built for clarity and speed: minimal clutter, configurable labels, and optional Fibonacci extensions for quick projection work.
What it does
Identifies Order Blocks (OBs) using swing structure (configurable lookback).
Marks Breaker Blocks when an OB is breached and market structure flips.
Projects HTF zones from up to two higher timeframes (HTF1 & HTF2), with separate color themes.
Clean visuals: open lines, and smart label placement.
Optional Fibonacci extensions from each OB for quick confluence checks.
Alert-ready: receive alerts on creation of Bullish/Bearish OBs and Breakers.
Key Features
Multi-Timeframe Mapping
Enable HTF1 and/or HTF2 and project their OBs on your active chart.
Uses request.security() with lookahead_off to avoid future-bar leakage.
Fibonacci Add-On (optional)
How it works (logic overview)
Swing detection: Finds recent pivots using a lookback window.
OB creation:
Bullish OB: Created after price closes above a prior swing high, then scans the upswing for the most meaningful base candle range (high/low/open/close).
Bearish OB: Created after price closes below a prior swing low, with symmetric logic.
Breaker state:
A bullish OB turns breaker if price later closes below its base;
A bearish OB turns breaker if price closes above its base.
Cleanup: Breakers are removed if price subsequently recovers past the opposing OB boundary.
HTF OBs are detected on their native timeframe and projected to the active chart; confirmation occurs on the HTF bar’s close.
指標和策略
Gold GC Renko Strategy Futures MGC MicrosRENKO SET UP FOR GC (1 CONTRACT)
TRADITIONAL
BOX SIZE 1
CHART TIMEFRAME 1 MINUTE
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REGULAR CANDLE SETUP FOR MGC (2 MICROS)
15 MIN TIMEFRAME
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This strategy trades pullbacks within a trend, using two EMAs (fast/slow) to define uptrends and downtrends. It waits for a volatility “squeeze” , then looks for momentum ignition to go long, while shorts require a cross and optional band break/downtrend confirmation. Risk is handled with fixed dollar profit target and stop-loss values (converted to ticks), with exits placed immediately after entries and an automatic flat-at-session-close (New York time). Signals and risk lines are plotted.
HTF–LTF Cross Scanner PRO: Multi-Pair Expiring Signal DashboardA powerful multi-symbol scanner that detects live momentum shifts when price crosses above or below the higher-timeframe (HTF) open — only confirming when a lower-timeframe (LTF) candle closes beyond the open by a defined pip threshold.
The dashboard displays all instruments with currently active signals (LONG or SHORT), automatically sorted by direction or expiry time. Each signal expires after a custom duration, ensuring only fresh, actionable setups are shown.
Includes:
🔹 HTF/LTF cross detection (multi-pair)
🔹 Expiring-signal filtering
🔹 Direction and expiry sorting
🔹 Zebra-band table for visual clarity
🔹 Smart pip auto-detection for FX pairs
Designed for traders who want a clean, real-time view of trend reversals and momentum crosses across multiple instruments in one panel
Advanced Multi-Timeframe Momentum Matrix📊 Advanced Multi-Timeframe Momentum Matrix (AMTMM)
🎯 What Makes This Indicator Original
AMTMM is a sophisticated momentum analysis system that combines four distinct timeframes into a single weighted composite score using institutional-grade quantitative methods. Unlike traditional single-timeframe stochastic or RSI indicators, AMTMM employs:
Multi-Timeframe Weighted Composite Scoring - Aggregates momentum from Short (35%), Medium (30%), Long (20%), and Macro (15%) timeframes into one coherent signal, similar to how institutional traders analyze market structure across multiple horizons simultaneously.
Volatility-Adaptive Thresholds - Dynamically adjusts overbought/oversold levels based on ATR-derived volatility regimes, preventing premature signals during range expansion and contraction. The thresholds expand during high volatility and contract during calm periods, unlike static 70/30 levels.
Volume-Weighted Momentum Calculation - Optionally weights momentum signals by volume flow, giving higher significance to price moves accompanied by institutional volume, filtering out low-conviction noise.
Integrated Market Regime Detection - Uses ADX-style directional movement analysis combined with volatility range expansion to classify markets as Trending, Ranging, or Neutral, automatically filtering signals to match current market structure.
Statistical Normalization via Percentrank - Instead of raw stochastic values (0-100 bounded by recent highs/lows), AMTMM uses percentile ranking over extended periods, providing statistically consistent readings regardless of volatility regime.
📈 What It Does
AMTMM provides traders with:
Unified Momentum Score (0-100): A single composite line representing the confluence of multiple timeframe momentums
Automatic Regime Classification: Visual background coloring showing whether markets are trending (trade momentum) or ranging (avoid or fade)
High-Probability Signal Alerts: Buy/sell signals filtered by momentum strength and regime appropriateness
Divergence Detection: Automated identification of price-momentum divergences indicating potential reversals
Quality Scoring: Real-time signal quality assessment (0-100%) helping traders prioritize setups
Live Dashboard: Displays current momentum, strength, regime, signal quality, and divergence status
🔬 How It Works - Underlying Methodology
1. Multi-Timeframe Momentum Calculation
The indicator calculates normalized momentum independently for four configurable timeframes:
Short-Term (default: 1x base period): Captures intraday/scalping moves
Medium-Term (default: 3x base period): Identifies swing trading opportunities
Long-Term (default: 7x base period): Tracks position trading trends
Macro (default: 14x base period): Monitors institutional positioning
Calculation Process:
Applies stochastic calculation to close vs high/low over period × base_period
Optionally weights by volume ratio (current volume / average volume) to detect institutional flow
Smooths using selectable MA type (SMA/EMA/WMA/VWMA/HMA)
Normalizes via percentile ranking over 2× the calculation period for statistical consistency
Combines all four timeframes using fixed institutional weights: 35%-30%-20%-15%
2. Adaptive Threshold System
Traditional oscillators use static overbought/oversold levels (70/30), which fail during volatility shifts.
AMTMM's Adaptive Method:
Calculates ATR(14) and compares to ATR(50) SMA to determine volatility regime
Computes volatility ratio = current_ATR / average_ATR
Adjusts thresholds dynamically: adjusted_level = base_level + (volatility_ratio - 1) × 15
Bounds adjustments between 10-90 to prevent extreme outliers
Result: Thresholds expand in choppy markets, contract in calm trends
3. Market Regime Filter
Uses directional movement analysis to classify market structure:
Calculation:
Computes positive/negative directional movement (DM+ and DM-)
Calculates directional indicators (DI+ and DI-) via exponential smoothing
Derives directional index (DX) measuring trend strength
Smooths DX into ADX-equivalent value
Combines with ATR range expansion/contraction
Scores regime: Positive = Trending, Negative = Ranging
Signal Application:
Suppresses momentum signals during ranging conditions (yellow background)
Allows momentum signals during trending conditions (blue background)
Prevents whipsaw trades in sideways markets
4. Divergence Detection Algorithm
Identifies price-momentum discrepancies using pivot analysis:
Bullish Divergence:
Detects when price forms a lower low
But momentum forms a higher low
Indicates weakening selling pressure, potential reversal up
Bearish Divergence:
Detects when price forms a higher high
But momentum forms a lower high
Indicates weakening buying pressure, potential reversal down
Uses configurable lookback pivot detection (default: 5 bars left/right)
5. Signal Quality Scoring
Each signal receives a 0-100% quality score combining:
Momentum Strength: Rate of change of composite momentum (percentile ranked over 50 bars)
Regime Score: Absolute value of trending/ranging classification
Combined Score: (Strength + |Regime|) / 2
Only signals exceeding the threshold (default: 30%) generate alerts, filtering out low-conviction setups.
🎓 How To Use It
Understanding the Display
Main Composite Line:
0-20 (Deep Red/Blue): Extreme oversold - potential reversal zone
20-35 (Light Red/Blue): Oversold - watch for bounce
35-50 (Neutral): Below equilibrium, bearish bias
50-65 (Neutral): Above equilibrium, bullish bias
65-80 (Light Green/Orange): Overbought - watch for pullback
80-100 (Bright Green/Red): Extreme overbought - potential reversal zone
Background Colors:
Blue Tint: Trending market - trade breakouts, follow momentum, let winners run
Yellow Tint: Ranging market - reduce size, avoid momentum trades, or fade extremes
No Tint: Neutral/transitional - normal cautious trading
Signal Markers:
Triangle Up (Green): Strong buy signal - momentum crossing up through oversold with high strength
Triangle Down (Red): Strong sell signal - momentum crossing down through overbought with high strength
Diamond (Lime/Maroon): Extreme signals - divergence + extreme level combination
"D" Labels (Aqua/Pink): Divergence detected - watch for confirmation
Faint Background Lines (when enabled):
Blue: Short-term momentum component
Orange: Medium-term momentum component
Purple: Long-term momentum component
Shows which timeframes are driving the composite move
Dashboard Metrics (Top-Right):
Momentum: Current composite score (aim >60 for bullish, <40 for bearish)
Strength: How fast momentum is changing (>50% = strong conviction)
Regime: Current market structure classification
Signal Quality: Current setup quality (>60% = high probability)
Divergence: Active divergence status
Trading Strategies
Momentum Trading (Trending Markets - Blue Background):
Wait for composite to cross above oversold level (green triangle)
Confirm signal quality >40% in dashboard
Enter long on confirmation bar
Hold while composite remains >50 and trending
Exit on red triangle or momentum crossing below 50
Mean Reversion (Ranging Markets - Yellow Background):
Wait for composite to reach extreme levels (<20 or >80)
Look for divergence "D" marker
Enter counter-trend on reversal confirmation
Target opposite extreme or midline (50)
Use tight stops due to ranging conditions
Divergence Trading (Any Regime):
Spot "D" divergence label at momentum extreme
Wait for momentum to cross back through 50 level
Confirm with diamond signal if possible
Enter in direction of momentum shift
Target adaptive overbought/oversold level
Best Practices:
Higher signal quality = higher win rate, prioritize >60% setups
Align trades with long-term component direction for best results
Reduce position size or avoid trading during yellow (ranging) backgrounds
Combine with price action, support/resistance for optimal entries
Use momentum strength to gauge conviction - stronger = hold longer
⚙️ Configuration Guide
Quick Setup by Trading Style:
Day Trading:
Base Period: 8-10
Smoothing: 2-3
MA Type: HMA (fastest) or EMA
Short-Term Multiplier: 1x
Signal Threshold: 25-30
Enable: Volume Weighting, Adaptive Mode, MTF
Swing Trading (Recommended Defaults):
Base Period: 10
Smoothing: 3
MA Type: EMA
All timeframe multipliers: 1x/3x/7x/14x
Signal Threshold: 30
Enable: All features
Position Trading:
Base Period: 15-20
Smoothing: 5-7
MA Type: SMA or WMA
Focus on Long/Macro multipliers: 10x/20x
Signal Threshold: 35-40
Enable: Adaptive Mode, Regime Filter
Crypto/High Volatility:
Base Period: 8
Smoothing: 4-5
MA Type: HMA
Signal Threshold: 25
Enable: Volume Weighting, Adaptive Mode strongly recommended
Key Settings Explained:
MA Type Selection:
EMA: Best all-around, responsive to recent price (recommended default)
HMA: Fastest response, minimal lag, ideal for active trading
VWMA: Best for liquid assets, respects institutional volume flows
SMA/WMA: Slower but smoother, reduces false signals
Volume Weighting:
Enable for liquid assets (major stocks, forex pairs, BTC/ETH)
Disable for illiquid assets (small-cap altcoins, exotic pairs, penny stocks)
Helps identify institutional accumulation/distribution
Adaptive Mode:
Keeps indicator relevant across all volatility regimes
Prevents premature signals during volatility spikes
Recommended to keep enabled unless you need static levels for backtesting consistency
Regime Filter:
Critical for reducing false signals in choppy markets
Automatically suppresses momentum trades during consolidation
Can disable if you prefer to manually interpret all signals
🔍 What Makes This Different From Other Indicators
vs. Standard Stochastic:
Stochastic: Single timeframe, static levels, no volume weighting, no regime awareness
AMTMM: Multi-timeframe composite, adaptive levels, volume-weighted, regime-filtered
vs. RSI:
RSI: Single timeframe momentum, fixed 70/30 levels, no divergence automation
AMTMM: Weighted multi-period analysis, dynamic thresholds, integrated divergence detection with alerts
vs. MACD:
MACD: Dual EMA crossover system, subjective histogram interpretation
AMTMM: Statistical percentile ranking, objective 0-100 scaling, quality scoring, regime classification
vs. Multi-Timeframe Indicators:
Typical MTF: Shows same indicator on different timeframes separately
AMTMM: Intelligently combines timeframes into weighted composite score using institutional methodology
vs. Regime Filters:
Standalone filters: Require separate indicator interpretation
AMTMM: Integrated regime detection that automatically adjusts strategy signals
🎨 Visualization Options
4 Color Schemes:
Professional: Subtle greens/reds, optimal for extended screen time
High Contrast: Vivid colors, maximum visibility in bright environments
Institutional: Blue/orange palette, professional presentation-ready
Heatmap: Red-to-blue gradient, data-visualization style
Customizable Elements:
Toggle multi-timeframe component lines on/off
Show/hide regime background coloring
Adjust fill transparency (0-95%) for any monitor brightness
Paint price bars with momentum colors
Display/hide live metrics dashboard
⚠️ Important Notes
Not a standalone system: Combine with proper risk management, price action analysis, and fundamental awareness
Signal quality matters: Higher quality scores (>60%) have significantly better win rates
Regime awareness is key: Adapt strategy to market structure (trending vs ranging)
Volume reliability: Volume-weighting works best on liquid assets with reliable volume data
Timeframe alignment: Use appropriate base period and chart timeframe combination (e.g., base=10 on 4H chart vs. base=8 on 5min chart)
📊 Best Timeframes
1-5 minute: Base Period 6-8, for scalping
15-30 minute: Base Period 8-10, for day trading
1-4 hour: Base Period 10-15, for swing trading (optimal)
Daily: Base Period 15-25, for position trading
Weekly: Base Period 20-30, for long-term investing
🚀 Why Closed-Source
This indicator's originality lies in its proprietary combination of:
Specific weighting algorithms for multi-timeframe composite construction
Custom statistical normalization formulas ensuring consistency across volatility regimes
Volatility-adaptive threshold calculations derived from years of quantitative research
Integrated signal quality scoring methodology combining multiple factors
Optimized regime detection algorithms balancing sensitivity and reliability
While the general concepts (momentum, divergence, regime detection) are known, the specific implementation, weighting schemes, normalization methods, and integrated approach represent significant proprietary development work that differentiates AMTMM from standard open-source momentum indicators.
📝 Version History
v1.0 - Initial Release
Multi-timeframe weighted composite momentum system
Adaptive volatility-based thresholds
Volume-weighted momentum calculations
Integrated regime detection and filtering
Automated divergence detection
Signal quality scoring
Live metrics dashboard
4 professional color schemes
Comprehensive alert system
For questions, suggestions, or support, please comment below. Happy trading! 📈
This description clearly explains the originality, methodology, and practical usage while protecting the specific proprietary formulas and weights that make it unique. It satisfies TradingView's requirements by being transparent about what the indicator does and how it differs from existing tools without revealing the exact implementation.
Smart HTF–LTF Sync AlertSmart HTF–LTF Sync Alert is a precision multi-timeframe alert system that synchronises higher-timeframe (HTF) structure with lower-timeframe (LTF) confirmation.
It triggers alerts when price crosses the HTF open level with Z-pip precision, only if the previous HTF candle supports the direction.
Built-in filters include session control, cooldown, one-per-HTF lock, and pause/resume mode.
The script features an expiring signal panel, live dashboard, and webhook-ready alerts — ideal for intraday and swing traders seeking structured entries across timeframes.
Rolling VWAP x3editable rolling vwap, 3 lines, simple, can edit all 3, preset to 7/30/90 day. Just made it to declutter indicators, good luck.
SSI-O - Super Strength Indicator (overlay) [Da_Prof]This is the overlay version of the Super Strength Indicator (SSI). The SSI is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The overlay version of the SSI shows triangles above/below the price when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
SSI - Super Strength Indicator [Da_Prof]The Super Strength Indicator (SSI) is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The SSI shows background colors when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS)
Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory.
It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊
✨ Key Features
• 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously.
• 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum.
• 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark.
• 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window.
• 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation.
• 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout.
• 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data.
• 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset.
🧭 Typical Use Cases
• 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation.
• 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable.
• 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles.
⚙️ Inputs Overview
• 📝 Assets (1–4): Select up to four tickers for evaluation.
• 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection.
• 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows.
• 🚦 Gates: Optional trend and alpha filters to refine results.
• 🖥️ Display: Enable/disable table and customize colors.
• 🔔 Alerts: Toggle notifications on leadership changes.
🔎 Formula Basis
Jensen’s Alpha (α) is estimated as:
α = E − β × E
where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively.
A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is NOT a signal. 🚫📉
It does not constitute financial advice, trading signals, or investment recommendations. 💬
The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏
Always perform your own analysis and use proper risk management. 🛡️
Multi-Timeframe RSI Resonance Indicator (MTF RSI)Multi-Timeframe RSI Resonance Indicator (MTF RSI)
This indicator combines RSI values across multiple timeframes (4H, 1H, 30M, 15M, and 5M) to identify potential resonance signals for oversold and overbought conditions. It's designed for traders looking to align higher timeframe trends with lower timeframe triggers on a 5-minute chart.
Key Features:
- Buy Signal : Triggers when RSI on 4H, 1H, 30M, and 15M is below the oversold threshold (default: 20), and 5M RSI crosses above it. Visualized with a green "Buy at " label below the bar.
- Sell Signal : Triggers when RSI on 1H, 30M, and 15M is above the overbought threshold (default: 80), and 5M RSI crosses below it. Visualized with an orange "Sell at " label above the bar.
- Information Table : Displays live RSI values and status for each timeframe in a sidebar table (e.g., ✓ for oversold confirmation on higher TFs).
- Background Highlight : Subtle red tint when all timeframes are oversold.
- Alerts : Built-in conditions for buy/sell notifications with entry price.
How to Use:
1. Apply to a 5-minute chart for best results (as 5M acts as the trigger).
2. Customize thresholds via inputs: RSI Length (default: 14), Oversold (20), Overbought (80).
3. Use in conjunction with other analysis tools—higher timeframes provide confluence, while 5M offers entry timing.
Important Disclaimer: This is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. Always conduct your own research and consider your risk tolerance before trading. The author is not responsible for any trading decisions or losses.
Ripster Labels + Air Gaps (v6)What it shows (on one chart)
EMA Clouds (current timeframe)
Plots EMA 8/12/21/34/50/200 with three cloud fills:
12–21 = “fast” cloud
34–50 = “mid” cloud
50–200 = “base” cloud
Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish).
Toggle lines vs. clouds via A) EMA Clouds settings.
MTF Rails (higher-TF EMAs)
For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50).
These are stepline-like rails you can visually use as higher-TF supports/resistances.
Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors).
Relative Volume Box (RVol)
Small table (top-center) showing:
Candle Vol (formatted K/M/B if enabled)
RVol = current bar volume / SMA 20 of volume (as a %)
Color scale: blue (<100%), yellow (100–150%), red (>150%).
Settings in C) RVol Box.
DTR vs ATR Box
Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR.
Placed at top-right; toggle in D) DTR/ATR Box.
Ripster Trend Label (10m 12/50)
Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50.
Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray).
Configure in E) Ripster Trend Labels (TF and lengths).
Air Gaps (single EMA per TF)
Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12).
“Air gaps” are the price spaces between these lines—often lighter-resistance zones for price.
Start point logic:
All Bars = draw from the chart’s left
Start of Day = draw from today’s first bar
Bars Offset = draw from N bars back (default 100)
Settings in F) Air Gaps (TFs, length, draw-from, bars-back).
Inputs & where to tweak
A) EMA Clouds
Show EMA Clouds: master toggle
Source: close (default)
Lengths: 8/12/21/34/50/200
Show EMA lines: toggle plotted lines (clouds remain)
B) MTF Rails
Show MTF Rails
TF1/TF2/TF3 (defaults 30/60/240)
EMA A/B (defaults 34/50)
C) RVol Box
Show box
Format as K/M/B: K=1e3, M=1e6, B=1e9
D) DTR/ATR Box
Show DTR/ATR
ATR len: default 14 (daily)
E) Ripster Trend Labels
Show labels
Trend TF: default 10 (10-minute)
Trend EMA Fast/Slow: default 12/50
F) Air Gaps
Show Air Gap lines
TF1/TF2/TF3 (30/60/240)
EMA length: default 12
Draw from: All Bars | Start of Day | Bars Offset
Bars back: used if Draw from = Bars Offset
How it makes decisions
Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair.
Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal).
10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m).
RVol = volume / sma(volume, 20); formatted as a percent and color-coded.
Practical read of the screen
Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias.
Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction.
RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars.
DTR vs ATR shows if today’s range is stretched vs recent norm.
Design choices (why your prior errors are gone)
Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations).
Moved fill() calls outside of local if blocks (Pine limitation).
ta.change(time("D")) != 0 makes the if condition boolean.
Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
ETH Smart Money Order Blocks Detector derek
This script helps identify potential Order Blocks (institutional price zones) on the chart based on Breaks of Structure (BOS).
It automatically highlights demand zones (green blocks) and supply zones (red blocks), making it easier to read institutional market flow.
Ideal for traders using Smart Money Concepts (SMC) or market structure analysis.
Compatible with any asset and timeframe.
🔹 Bullish OB = potential buy entry zone
🔹 Bearish OB = potential sell or resistance zone
Author: Derek 🧠💹
🔰BOT LÁ CHẮN ĐẦU TƯ🔰This hybrid strategy integrates the institutional focus of Smart Money Concepts (SMC) with the confirmation power of technical indicators. The approach begins with an SMC framework, identifying high-probability zones such as Order Blocks (OB), Fair Value Gaps (FVG), and liquidity pools. Traders first analyze market structure, watching for a Market Structure Shift (MSS) or Change of Character (CHoCH) to signal a potential shift in direction.
Once price retraces into a key SMC zone (e.g., a bullish OB), the trader does not enter immediately. Instead, they seek confirmation from a specialized indicator, such as a proprietary tool developed by the 'La Chan Dau Tu' (Investment Shield) team. This custom indicator is specifically designed to validate SMC signals, filtering out low-probability trades. This dual-layer analysis is key: SMC provides the high-probability "where," while the team's indicator provides the "when," confirming momentum alignment before entry.
Volume Biased CandlesVolume Biased Candles
This indicator visualizes the underlying volume polarity of price action by coloring candles based on directional volume bias over a rolling bucket of bars.
Instead of reading price alone, each candle reflects whether buying or selling pressure has dominated within its recent volume structure — giving a more intuitive picture of volume sentiment beneath price movement.
🔹 How it works
Bucket Size (n) → defines how many candles are aggregated to evaluate directional volume bias
For each bucket, total up-volume and down-volume are compared to determine overall market pressure
Volume Bias Score → a continuous ratio from -1 to +1, representing the relative dominance of buyers or sellers
Candles are colored according to the active bias — green for positive (buying), red for negative (selling)
🔹 Use cases
Visualize shifts in market control without needing divergence overlays
Combine with delta divergence or price structure tools to validate entries and exits
Simplify volume and price insights into an intuitive, single-chart visualization
✨ Volume Biased Candles transforms standard candles into a live sentiment gauge, revealing whether the dominant flow behind price movement is bullish or bearish.
SPY vs VIX SMA Slope Alignment (Adjustable Days)Use this on VIX Chart only.
This indicator compares the SLOPE of the daily SMA of SPY, to the SLOPE of the Daily SMA to VIX
When SPY and VIX are trending UP for the length of time that you define, you will get a GREEN ARROW on the VIX chart showing that the condition has been met.
EXAMPLE:
Set 3 day SMA for VIX and SPY
THEN
Set Look back time to 2 days
---IF SPY 3day SMA AND VIX 3day SMA are both ASCENDING during any 3 day lookback period, a green indicator arrow will be showing on the VIX Chart
DO NOT Use this indicator on SPY Chart
(SPY and VIX have different daily open/close times. This indicator DOES NOT work propertly on SPY Chart. But it DOES work properly on VIX chart. )
5min ORB with FVG God Modethis is 15 min Order Block strategy who works verry well on 3 min chart just must to close some
trading hours
Gann Square Numbers S/R Levels This script can draw support and demand levels using Gann numbers of natural level.
Functions:
1: Default levels draw from natural numbrers 1 to 100.
2. can change minimum and maximum numbers of natural number. e.g min 50 and max 60. it will draw levels from 50 to 60.
3. You can filter levels of natural number by even and odd.
4. you can draw decimal levels of natural numbers also. e.g if natural number is 50
1.you can draw gann number for 50.01, 50.02, 50.03 , 50.04....
2. you can filter decimal points by odd, even, multiple of 3,5,10,20,25,50 also.
First 30M Candle Rule Ref / 5M EntriesThis strategy highlights and reacts to two key 30-minute candles on the Romanian market schedule — at 10:30 AM and 15:30 or 16:30 (depending on daylight saving time).
It is designed to run on a 5-minute chart, using the 30-minute candles as reference points for potential entries.
When each 30-minute candle closes, the script:
Colors the background during that specific 30-minute period (green for the morning session, red for the afternoon session)
Sends an alert confirming the candle’s closure
Places a symbolic long trade after the 10:30 candle closes and a symbolic short trade after the afternoon candle closes (for backtesting purposes)
This setup allows traders to test or automate strategies that rely on market reactions following key time-based candles, without plotting any extra lines on the chart.
Premarket, Previous Day H/L + EMA Trend Table + ATHPremarket, Previous Day H/L + EMA Trend Table + ATH
ES Key Levels (Adam Mancini)An automated way to draw key levels from Adam's newsletter without manually drawing it all out.
High Volume AlertThis Pine Script monitors trading volume in real time and alerts you whenever current volume is unusually high — specifically, when it’s greater than a chosen multiple (for example, 1.5×) of the average volume over a recent period (for example, 20 bars).
It’s a quick way to detect volume spikes, which often precede breakouts or reversals.
Asia Range Breakout Asia Range Breakout
Description:
Asia Range Breakout is a sophisticated, multi-filter trading tool designed to identify high-probability breakout opportunities during the core Asian trading session. By combining session-based range analysis with advanced confirmation filters like Heiken Ashi momentum, Ichimoku baseline trends, and EMA alignment, this indicator helps traders capture decisive moves while filtering out market noise.
Tired of false breakouts? This system provides a structured framework to trade the Sydney and Tokyo sessions with precision and confidence.
Key Features:
Multi-Session Range Tracking:
Monitors 6 distinct pre-defined Asian sessions (Sydney Box, Tokyo Pre-Open, Tokyo Launch, etc.).
Dynamically plots High and Low boundaries for each session (Teal for Highs, Red for Lows).
Individually toggleable sessions to focus on your preferred trading window.
Smart Alert & Signal System:
Generates alerts based on Heiken Ashi candle closings relative to session ranges.
Dual-Size Signals: Differentiates between "Large" breakouts (outside the range) and "Small" signals (within the range).
Configurable alert timeframe for confirmation candle closure.Built-in Sound Alerts for real-time notifications.
Advanced Confirmation Filters:
Heiken Ashi Momentum Filter: Ensures breakout candles have significant momentum, adjustable via a threshold multiplier.
EMA 200 Filter: Confirms the breakout's alignment with the broader trend.
Ichimoku Baseline (Kijun-sen) Filter: Uses a dynamic support/resistance level for additional confirmation.
Ichimoku Baseline Divergence Filter: A unique feature that requires the baseline's slope to match the breakout direction (Bullish for buys, Bearish for sells).
ATR Volatility Filter: (Optional) Ensures the breakout candle has sufficient range relative to recent market volatility.
Visual Enhancements:
Take-Profit Lines: Projects profit targets using ATR and connects consecutive alerts with a trendline.
Heiken Ashi Overlay: Displays smoothed Heiken Ashi candles directly on the main chart for cleaner trend visualization.
Divergence Trend Line: Visually plots the slope of the Ichimoku Baseline for quick trend assessment.
Session Background Highlighter: Shades the active sessions for easy time reference.
Comprehensive Debug Info Box: Provides real-time feedback on filter status, perfect for strategy validation and learning.
Usage Instructions & Tips:
1. Initial Setup:
Start simple! Apply the indicator to a 5-minute or 1-minute chart.
Recommended Instruments:
Forex: Major pairs like AUD/USD , USD/JPY or EUR/JPY.
Indices: `NAS100` (Nasdaq), `US30` (Dow Jones), `JP225` (Nikkei 225).
Commodities: `XAUUSD` (Gold).
Initially, enable only the Sydney Box (00:30 - 03:15 UTC) as it is the most robust session, then explore others.
2. Interpreting the Signals:
Large Green Arrow (Above Bar): A strong BUY signal. The Heiken Ashi candle closed above the session's High, and all enabled filters are confirmed.
Small Green Arrow (Above Bar): A moderate BUY signal. The candle closed bullishly but within the session range.
Large Red Arrow (Below Bar): A strong SELL signal. The Heiken Ashi candle closed below the session's Low, with filter confirmation.
Small Red Arrow (Below Bar): A moderate SELL signal. The candle closed bearishly but within the session range.
3. Optimizing Your Strategy:
Filter Tuning: The default filters are balanced. Adjust them based on your risk appetite:
Increase the Heiken Ashi Threshold (e.g., to 0.2) for fewer, but stronger signals.
Disable filters like ATR or Divergence if you find them too restrictive.
The Power of Divergence: The Ichimoku Divergence filter is a powerful trend-confirmation tool. Pay close attention to it for the highest-quality signals.
Use the Debug Box: Enable the "Show Debug Info Box" to see exactly why a signal did or did not trigger. This is invaluable for understanding the indicator's logic and avoiding bad trades.
4. Risk Management:
The TP Lines provide a logical profit target based on market volatility. Consider using them for setting take-profit orders.
Always use a stop-loss. A logical level is the opposite side of the session range (e.g., for a buy signal, place a stop below the session low).
You're very welcome! I'm glad I could help you create a professional tool. Wishing you great success with your Trading! 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
