Swing trend Pro Buy and Sell Alerts Bu AMit NamdeoThis script, "Swing Pro ", is a complete Trend Following system designed for Swing Trading. It moves away from the complexity of needing all 3 EMAs to align perfectly and instead uses a simpler, more robust logic that filters out noise using a "Base Support" concept.
Here is a breakdown of exactly how it works:
1. The Strategy Logic (The Core)
The script combines Momentum (Crossovers) with Location (Base Support) to generate high-probability signals.
The Trigger (Entry):
It watches for a crossover between the Fast EMA (20) and Medium EMA (50).
Buy Trigger: 20 EMA crosses Above 50 EMA.
Sell Trigger: 20 EMA crosses Below 50 EMA.
The Filter (Location):
Signals are only valid if they happen on the correct side of the Slow EMA (200) (The Blue Line).
For Buys: The price must be ABOVE the Blue 200 EMA. This ensures you are buying in a long-term uptrend where the 200 EMA acts as a floor/support.
For Sells: The price must be BELOW the Blue 200 EMA. This ensures you are selling in a downtrend where the 200 EMA acts as a ceiling/resistance.
ADX Filter:
It checks the ADX (Average Directional Index). If the ADX is below 20 (default), the market is considered "Choppy/Sideways," and the signal is ignored. This saves you from entering false breakouts.
2. Risk Management (Automated)
Once a trade is entered, the script automatically handles the risk math for you based on the ATR (Average True Range).
Stop Loss (SL):
Initial SL: Placed at 1.5x ATR away from the entry price.
Trailing SL: As the price moves in your favor, the Orange SL line automatically moves up (for buys) or down (for sells). It acts as a ratchet—it never moves backwards, locking in your profit.
Take Profits (TP):
TP1: 2.0x ATR (Conservative target).
TP2: 3.5x ATR (Standard swing target).
TP3: 5.0x ATR (Extended trend target).
3. Visuals & Layout
Modern Badges: Bright Green "BUY" and Red "SELL" buttons appear directly on the chart candles.
Dynamic Lines:
Orange Line: Your Trailing Stop Loss. It disappears when the trade is over.
Blue Dashed Lines: Your TP1, TP2, and TP3 targets.
EMA Colors:
Green Line: Fast EMA (20).
Orange Line: Medium EMA (50).
Thick Blue Line: Slow EMA (200 / Base Support).
Bar Coloring: The candles turn bright Green or Red during an active trade to help you instantly see the trend state.
4. How to Trade with It
The Buy Setup:
Wait for the price to be floating above the Thick Blue Line (200 EMA).
Wait for the Green Line (20) to cross up through the Orange Line (50).
A "BUY" badge appears.
Action: Enter the trade. Set your physical Stop Loss at the price shown by the Orange SL line.
The Sell Setup:
Wait for the price to be below the Thick Blue Line (200 EMA).
Wait for the Green Line (20) to cross down through the Orange Line (50).
A "SELL" badge appears.
Action: Enter Short. Follow the Orange SL line down as price drops.
5. Settings Menu
You can customize almost everything in the indicator settings:
Lengths: Change the EMA lengths (e.g., to 9/21/200 if you prefer faster scalping).
Risk: Change the ATR multipliers to make the Stop Loss tighter (e.g., 1.0) or wider (e.g., 2.0).
Visuals: Change the badge sizes (Small/Normal/Large) and colors to fit your dark/light theme.
אינדיקטורים ואסטרטגיות
Sell strategy by SBCan sell at low of the highlighted candles and this works on 5 min time frame with sl and target of 5 points only
Buy Strategy by SBBuy strategy at high of highlighted candles .This will give target of 5 points at 5min time frame and 5 points sl
PLOW/PLHW (Potential weekly highs/lows)AP Capital – PLOW / PLHW (Potential Weekly Low / High)
This indicator highlights Potential Weekly Lows (PLOW) and Potential Weekly Highs (PLHW) in real time, using current-week price action, session context, and confirmed candle closes.
It is designed for intraday and swing traders who want early-week and late-week structure levels without repainting or hindsight bias.
🔹 How It Works
Potential Weekly Low (PLOW)
Detected during early week sessions
Triggers when price prints the current week’s lowest low
Confirmed only on candle close
Typically aligns with liquidity grabs, stop runs, or accumulation
Potential Weekly High (PLHW)
Detected during late week sessions
Triggers when price prints the current week’s highest high
Confirmed only on candle close
Often marks distribution or exhaustion zones
📊 Visual Elements
Clean weekly high & low levels
Optional weekly midpoint
Session-aware confirmation
Non-repainting labels
Minimalist layout (no clutter)
⚙️ Key Features
Works on any intraday timeframe
Fully non-repainting
Session-based logic (early vs late week)
Optional weekly range info panel
Suitable for Gold, FX, Indices, Crypto
🧠 Best Use Cases
Fade moves into weekly extremes
Combine with:
Previous Day High / Low
Liquidity sweeps
Market structure shifts
Identify high-probability reversals
Avoid chasing price late in the week
⚠️ Important Notes
This is NOT predictive — levels are confirmed from live price action
Best used as context, not a standalone entry system
Designed to complement price action & liquidity-based trading
📌 Disclaimer
This indicator is for educational purposes only.
Not financial advice. Always manage risk.
EURUSD 15mThis strategy is a EURUSD 15-minute trend-following signal indicator built around an EMA “basis” and ATR volatility bands. It uses a 20-period EMA as the midline and ATR to form inner/outer channels, helping identify pullbacks and avoid chasing extremes. A 150-period EMA acts as the trend filter, and signals are only considered in the direction of the trend (optionally requiring the trend EMA to slope). Quality filters include ADX strength, a confirmation candle rule, a volatility filter (ATR vs ATR moving average), a “room to outer band” filter, plus anti-spam arming and a cooldown timer to reduce repeated signals. The main entry logic is DR (deep retracement back to the basis and reclaim) with an optional BO (breakout across the inner band) feature. Mode presets (More Trades / Balanced / Quality) adjust strictness to trade off frequency versus selectivity.
SuperTrend AI + PVSRA Full DashboardI tried to combine various indicators already created in a single version that can also guarantee a certain customization on colors, intensity of tables, etc. etc. The functioning, the operation is similar to the previous ones, I won't go into detail, at most take a look at the previous versions.
1. The "AI" Component: Multi-SuperTrend Clustering
Instead of using a single SuperTrend with a fixed multiplier, this script:
Simultaneously runs multiple SuperTrends with different sensitivities (multipliers).
Evaluates Performance: It tracks which multiplier would have been most profitable in recent bars.
K-Means Clustering: It uses an AI algorithm to group these multipliers into "Best," "Average," and "Worst" clusters.
Adaptive Trailing Stop: It automatically selects the "Best" multiplier to plot the AI Trailing Stop line on your chart, making it more responsive to changing market volatility than a standard indicator.
2. PVSRA Logic (Institutional Volumes)
PVSRA stands for Price Volume Support Resistance Analysis. The script re-colors candles based on volume intensity:
Climax Bull (Bright Green): Extremely high volume on a bullish candle. Usually indicates institutional buying or a trend climax.
Climax Bear (Magenta/Purple): Extremely high volume on a bearish candle. Usually indicates institutional selling or a panic bottom.
Rising (Grey/Silver): Above-average volume, showing increasing interest.
3. The "Super Confluence" Signal
This is the "Golden Signal" of the script. It triggers a BUY or SELL label only when several conditions align:
AI Trend Switch: The AI Trailing Stop flips direction.
SMA 20 Cross: The AI line crosses the 20-period Simple Moving Average.
Volume Confirmation: A PVSRA Climax or Rising volume must occur on that specific bar.
Directional Alignment: The candle color must match the trend direction.
4. Summary Dashboard (Top Right)
The dashboard provides a "Quick Glance" at the market structure:
AI Trend: Shows if the machine learning model is currently Bullish or Bearish.
PVSRA Vol: Identifies the current volume signature (Normal vs. Climax).
SMA 20/50: Shows medium-term momentum (Bullish if 20 > 50).
Trend 200: Shows the macro trend. ABOVE means long-term bullish; BELOW means long-term bearish.
How to Trade with This Script
Signal Strategy
"SUPER CONFLUENCE BUY" Look for entries. High probability if Trend 200 is "ABOVE".
"SUPER CONFLUENCE SELL" Look for shorts. High probability if Trend 200 is "BELOW".
Magenta/Green Candles Caution: These are "Stop Hunts" or "Institutional Entries." Do not
trade against these candles without a clear reversal pattern.
Technical Tip
The variable target_f is the "AI-optimized multiplier." If you see this value changing frequently in the dashboard, it means the market is volatile, and the AI is struggling to find a stable trend. If it stays consistent, the trend is likely solid.
Thanks everyone and happy trading
Volume SMA 9 / 20 / 50This is real time volume average lines having option to select period of volume lines . it not only provides volume with respect to price action but also we can find out real picture of price action pressure. use it with ADX and MACD wisely . only volume spike is not confirmation some times fake breakout , so wait for confirmation and participate at breakout confirmation.
Trade Decision MatrixTrade Decision Matrix (TDM)
Trade Decision Matrix (TDM) is a professional-grade, multi-phase market intelligence indicator designed to assist traders in understanding market structure, regime behavior, capital confidence, and execution readiness using a systematic, probabilistic framework.
This indicator does not generate trade signals. Instead, it provides a structured decision matrix similar to institutional trading desks, combining regime analytics, entropy confidence, Bayesian reliability, capital allocation logic, and scenario interpretation.
🔹 Core Architecture
TDM is built using a nine-phase institutional decision pipeline:
Phase 1 — Market Context
Spot–future basis, volatility normalization, and structural slope detection.
Phase 2 — Regime Engine
Probabilistic classification of Trend, Breakout, Range, or Mean Reversion environments.
Phase 3 — Orthogonal Model Cores
Independent statistical, trend, breakout, and mean-reversion cores.
Phase 4 — Bayesian Reliability Engine
Adaptive reliability scoring for each core using Bayesian reinforcement.
Phase 5 — Capital Engine
Capital confidence and capital mode based on opportunity quality, regime clarity, entropy confidence, and risk filters.
Phase 6 — Decision Matrix
Bias, participation level, and trade quality grading.
Phase 7 — Scenario Engine
Contextual scenario interpretation such as Trend Expansion, Breakout Failure, Range Compression, etc.
Phase 8 — Execution Gate
Execution readiness filter based on capital and model alignment.
Phase 9 — Reversal Engine
Probabilistic reversal risk estimation using multi-factor logic.
🔹 Regime Entropy Confidence
TDM uses Shannon entropy to measure regime uncertainty and converts it into a confidence score.
Lower entropy = higher regime confidence.
Higher entropy = unstable or transitional market state.
This prevents over-confidence in noisy conditions.
🔹 Institutional Commentary Engine
A professional commentary layer interprets all internal engines and outputs institutional-style guidance such as:
• Institutional Alignment
• Capital Protection Mode
• Regime Uncertainty
• Momentum Continuation
• Structural Breakout
• Volatility Coiling
• Reversal Risk Elevated
This commentary is designed for situational awareness, not signal generation.
🔹 Dashboard
The dark-theme dashboard provides a compact institutional decision panel:
• Regime
• Entropy Confidence
• Scenario
• Bias
• Strength
• Capital Confidence
• Capital Mode
• Trade Quality
• Execution State
• Commentary
• Reversal Risk
All values are color-coded with heat shading for instant visual interpretation.
🔹 How To Use
TDM is best used as a decision support layer alongside your own trading strategy.
Typical workflow:
Identify regime and entropy confidence.
Observe capital confidence and capital mode.
Check scenario and bias alignment.
Confirm execution readiness.
Monitor reversal risk before entering or holding positions.
This tool is ideal for:
• Intraday traders
• Swing traders
• Options traders
• Index traders
• Systematic discretionary traders
🔹 Important Notes
• This indicator does NOT produce buy/sell signals.
• It is a decision intelligence framework.
• It should not be used as a standalone trading system.
• Always apply personal risk management.
🔹 Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice or investment recommendations.Trading involves risk. Users are responsible for their own trading decisions.
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility.
🔶 Advanced Dual EMA Direction Engine
Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states.
🔶 Volume-Adjusted Normalization Framework
Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves.
// Volume-Adjusted Normalization
Vol_Ratio = Volume_RSI / 50
Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact
Dev = src - Basis_EMA
Raw_Normalized = Dev / (StdDev * Multiplier)
Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor
🔶 CCI Momentum Filter Integration
Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries.
🔶 Multi-Layer Trend State Logic
Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements.
🔶 Dynamic Volume Band Architecture
Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action.
🔶 Gradient Strength Visualization System
Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring.
🔶 Volume RSI Calculation Engine
Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes.
🔶 Asymmetric Threshold Configuration
Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures.
🔶 Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density.
🔶 Alert and Signal Framework
Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends.
🔶 Performance Optimization Architecture
Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods.
🔶 Why Choose Volume-Adjusted CCI Trend ?
This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
Trend Sniper ProTrend Sniper Pro - Advanced Trend & Breakout Strategy
## 🚀 Overview
Trend Sniper Pro is not just another indicator; it is a professional trading system designed to filter out market noise and capture only high-probability moves. By combining **Price Action**, **Volume Confirmation**, and **Multi-Timeframe Analysis**, it operates with "sniper" precision.
It avoids the trap of "overtrading"—a trader's worst enemy—by only pulling the trigger when conditions are perfect.
💡 **IMPORTANT TIP:** This strategy yields the best results on **Stocks** (e.g., US Equities, BIST) on **DAILY** charts. It is optimized for patient investors looking to catch major trends.
## 🔑 Key Features
* **Dual-Layer Trend Filter**: Utilizes a modified SuperTrend alongside a robust Moving Average Alignment system to filter out false signals.
* **Smart Volume Validation**: Rising prices without volume are often traps. Signals are only generated when accompanied by significant volume volume.
* **Dynamic Risk Management**: Automatically plots **Risk/Reward Boxes** and **Trailing Stop Lines** (Teal for Bullish, Red for Bearish) upon entry.
* **Yearly High/Low Filter**: A macro filter that prevents you from buying at historical tops or selling at historical bottoms.
* **Compounding**: Automatically optimizes position size to compound gains during strong trends.
## 🆕 Crypto Mode
A special mode has been added for the more volatile Crypto markets. When you check the **"Crypto Mode"** box in the settings, the strategy applies much stricter filters to filter out "pump & dump" wicks and noise.
## 🛠️ How It Works
1. **Trend Alignment**: If the long-term trend is not in your favor, no trade is taken.
2. **Breakout**: Detects a breakout when Volatility (ATR) and Volume thresholds are exceeded.
3. **Entry Trigger**: A position is opened only when Price, Volume, and Trend align perfectly.
4. **Exit**: Positions are closed via ATR-based Stop Loss or a profit-locking Trailing Stop.
## ⚙️ Settings Guide
* **Crypto Mode**: Check this box for Cryptocurrencies. Leave unchecked for Stocks.
* **Main Settings**: Adjust SuperTrend sensitivity.
* **Risk Management**: Personalize your Stop Loss multiplier and profit targets.
* **Visual Settings**: Toggle target lines or boxes on/off.
## ⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always backtest strategies on your specific pairs and timeframes before live trading.
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*Developed for professional traders looking for a systematic edge in trending markets.*
eBacktesting - Learning: Change of CharactereBacktesting - Learning: Change of Character helps you spot a “Change of Character” (CHoCH) — the moment price stops behaving one way and starts behaving the other.
It does this by tracking clear swing highs and swing lows, then marking the first **candle close** that breaks structure **against** the current move:
- Bullish CHoCH: price shifts from making lower structure to breaking above a key swing high.
- Bearish CHoCH: price shifts from making higher structure to breaking below a key swing low.
Use CHoCH to practice timing: early trend shifts, reversals, and potential new legs — especially when combined with your usual confluence (liquidity, premium/discount, key levels, sessions, etc.).
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
eBacktesting - Learning: Order BlockseBacktesting – Learning: Order Blocks helps you spot Order Blocks on your chart in a clean, beginner-friendly way.
When price breaks structure, the indicator highlights the last opposite candle that often becomes a key reaction zone later (the Order Block). You’ll see the OB marked as a zone, and when price comes back and mitigates it (returns into the zone), that OB is removed so your chart stays uncluttered and focused on what matters now.
This indicator is built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Sarina - EMA Dynamic -01112026This script creates a Dynamic Adaptive EMA System that goes beyond traditional moving averages by adjusting its "length" (lookback period) in real-time based on price action.Core MechanismUnlike standard EMAs with fixed periods, this indicator uses variable lengths ($c1$ and $c2$).Acceleration: When price moves aggressively, the EMA lengths increase or decrease dynamically to track the trend more closely.Time-Based Deceleration: It includes a unique feature where the "speed" of these adjustments decays every 30 seconds to prevent the indicator from becoming too erratic during high-volatility spikes.Signal Logic (The "No-Summary" System)The system categorizes signals into two tiers:S-Signals (Small): Occur when the baseline EMA (9) stabilizes above/below the Fast Dynamic EMA (13).P-Signals (Power): Occur when the baseline EMA (9) stabilizes above/below the Slow Dynamic EMA (34).Noise Reduction FeaturesTo ensure high-quality entries, the code employs two filters:Stabilization Filter (conf_bars): Price (via the 9 EMA) must hold its position for a specific number of candles before a label appears. This acts as a "shock absorber" against sudden wicks.Proximity Filter (signal_filter_window): It prevents "signal clustering" by enforcing a minimum candle distance between consecutive buy or sell labels.Visual Output: You will see a color-coded cloud between the two dynamic EMAs and a real-time Status Table in the top-right corner showing the current calculated lengths of your averages.
Orion Time Matrix | ICT Macros [by AK]ORION TIME MATRIX | ICT MACRO SUITE
The Orion Time Matrix is a precision timing instrument designed to decipher the algorithmic "Heartbeat" and the timing of institutional order flow in US Index Futures markets, specifically Nasdaq (NQ) and S&P 500 (ES).
Inspired by the "Time & Price" teachings of Michael J. Huddleston (The Inner Circle Trader), this tool maps out the specific time windows where algorithms seek liquidity and price delivery is most efficient.
eBacktesting - Learning: BreakoutseBacktesting - Learning: Breakouts highlights ranges & breakout behaviors in a clean, visual way.
It automatically:
- Detects consolidation ranges (tight price action) and draws a range box
- Marks a breakout only when a candle CLOSES outside the range (no wick-only breakouts)
Adds a label on the breakout candle (↑ bullish breakout / ↓ bearish breakout)
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
HelperScriptA Personal Helper Script based on FFriZz/Holiday/2
Only change the font size and language
Al Brooks_BarCount_Start from Opening🔹 Key Features
Counts from the RTH open every trading day
Stocks: 09:30–16:00 (New York Time)
Futures: 08:30–15:15 (Chicago Time)
Automatically detects stocks vs futures
Always displays the first bar of the session
Optional display every N bars to reduce chart clutter
Custom highlight rules
Highlight specific bar numbers (e.g. bar 18)
Highlight bar multiples (e.g. every 12 bars)
Fully customizable label size and colors
🔹 Why count from the open?
In Al Brooks’ Price Action framework:
The first 30–60 bars after the open often define the day’s structure
Trends, failed breakouts, and trading ranges frequently align with specific bar counts
Counting across overnight or pre-market sessions can distort intraday analysis
👉 This indicator resets precisely at the RTH open, keeping the count aligned with real trading decisions.
🔹 Inputs Overview
Display at every X bars
Show bar numbers at fixed intervals (bar 1 is always shown)
Count From RTH Open (Session Filter)
Limits counting strictly to regular trading hours (recommended ON)
Special Color Multiple
Highlights every N-th bar
Special Number 1 / 2
Highlights specific bar numbers
Label Size / Colors
Visual customization options
🔹 Markets Supported
✅ US index futures (ES, MES, NQ, MNQ, GC, CL – RTH)
✅ US stocks and indices (NYSE / NASDAQ)
❗ Not intended for 24h markets (e.g. crypto)
🔹 Usage Tips (Al Brooks Style)
Observe price behavior around early session bars (5–10)
Watch key counts like 12, 18, 24 for acceleration or failure
Combine with EMAs, trend lines, and trading-range highs/lows
Sector Momentum Dashboard (Pure 3M / 6M / 12M)Script Description (Simple + Accurate)
This script builds a sector‑momentum dashboard that ranks major U.S. sector ETFs based on their pure trailing performance over a selected lookback period. Instead of using academic momentum windows like 3‑1M or 12‑1M, it measures straight returns over the past 3, 6, or 12 months, using daily closing prices.
The script:
Pulls daily price data for 11 sector ETFs (XLK, XLC, XLI, XLF, XLB, XLV, XLU, XLY, XLE, XLP, XLRE)
Calculates each ETF’s return over the chosen lookback window:
3M = 63 trading days
6M = 126 trading days
12M = 252 trading days
Sorts the ETFs from strongest momentum to weakest
Displays the ranked list in a compact table on the chart
Highlights:
Top 3 sectors in green
Bottom 3 sectors in red
The intention is to give traders a quick, visual snapshot of sector leadership, making it easier to:
Identify which sectors are outperforming
Spot rotation trends
Build or adjust a sector‑rotation strategy
Compare relative strength across the market
It’s designed to be simple, fast, and reliable — ideal for anyone who wants a clean momentum‑based view of the U.S. sector landscape.
Previous Highs and Lows (M, W, D) Displays previous Monthly, Weekly, and Daily key swing highs/lows with clean , timeframe-specific coloring. Essential structure reference for multi-timeframe traders!!
Your Monthly/Weekly/Daily structural backbone in one indicator!!!!
Bullish, Bearish, & Normal RSI1. Identifying "True" Momentum (The Aqua/Fuchsia Logic)The most useful part of this script is the comparison between the three lines.Bullish Conviction (Aqua): When both the Bullish and Bearish lines are above the Normal RSI, it suggests that even on "down" candles (red candles), the price isn't losing significant ground. The overall structure is buoyant.Bearish Conviction (Fuchsia): When both are below the Normal RSI, it indicates that even when you get "up" candles (green candles), they lack the strength to lift the average momentum. The sellers are effectively "smothering" the bounces.
2. Spotting Hidden Weakness/Strength (Spread Analysis)The "Spread" (the gap between rsiBull and rsiBear) provides a unique utility:ScenarioInterpretationUtilityWide SpreadHigh volatility and indecision. Green candles are very strong, but red candles are also very weak.Avoid trend-following; wait for a "squeeze" or narrowing.Tight SpreadHigh agreement in price action. Most candles are moving in a similar direction or with similar intensity.Great for identifying stable, trending moves with low noise.Bull/Bear CrossIf the Bullish RSI crosses above the Bearish RSI significantly.Can act as an early entry signal before the Standard RSI hits the 50-midline.
3. Practical Strategy Use CasesFilter for Breakouts: If you see a price breakout but the RSI color remains Gray, the move might lack "conviction." You ideally want to see the color flip to Aqua (for long) or Fuchsia (for short) as the breakout occurs.Exhaustion Signal: If the Normal RSI is overbought ($>70$) but the rsiBull begins to dip toward the rsiNormal, it suggests that the "green candle strength" is waning even if the price is staying high—a potential warning of a reversal.Potential Drawbacks to WatchLag: Like all RSI-based indicators, this is lagging. Because you are using a 14-period lookback on three different calculations, it may take a few bars to confirm a sentiment shift.Whipsaw in Sideways Markets: In a tight range-bound market, the color may flip between Aqua and Fuchsia rapidly, creating "noise."Pro-Tip: This indicator would be most effective when used in conjunction with Volume. If you get an "Aqua" signal on rising volume, the probability of a sustained trend is significantly higher.
Spearman Correlation🔗 Spearman Correlation – Ranked Relationship Tracker
Overview:
This indicator calculates and plots the Spearman Rank Correlation Coefficient between the current chart’s asset and a custom comparison ticker (the example shown is BTC vs the OTHERS market cap for crypto). Unlike Pearson correlation, which measures linear relationships, Spearman correlation captures monotonic (ranked) relationships—making it better suited for analysing assets that move in sync but not necessarily in a linear fashion.
🧠 What It Does:
Computes ranked correlation between two assets over a user-defined lookback period
Smooths the correlation curve for better readability
Visually shades the background by correlation strength and direction:
🟩 Strong Positive (+0.5 to +1)
🟨 Weak Positive (+0.1 to +0.5)
⬜ No Correlation (–0.1 to +0.1)
🟧 Weak Negative (–0.5 to –0.1)
🟥 Strong Negative (–1 to –0.5)
⚙️ User Inputs:
Lookback Period: Number of bars used to calculate correlation
Comparison Ticker: Choose any asset to compare against
Shading Toggles: Customize which correlation zones are highlighted
📈 Use Cases:
Identify evolving relationships between assets (e.g., BTC vs DXY, ETH vs SPX)
Spot when assets become inversely correlated or lose correlation entirely
Track regime shifts where traditional relationships break down or re-align
Use alongside trend or momentum strategies to add a cross-asset confirmation layer
🔍 Interpreting the Correlation:
+1 → Perfect positive (ranks match exactly)
+0.5 to +1 → Strong positive relationship
+0.1 to +0.5 → Weak but positive relationship
–0.1 to +0.1 → Essentially uncorrelated
–0.5 to –0.1 → Weak negative correlation
–1 to –0.5 → Strong inverse relationship
–1 → Perfect negative (rankings are completely opposite)
🧪 Technical Notes:
Calculation uses ranked returns to better reflect monotonic relationships
Smoothed with a simple moving average (SMA) for stability
Arrays are managed internally to maintain performance and adaptability
This script is ideal for traders seeking deeper insight into cross-asset dynamics, portfolio hedging, or timing divergence-based strategies.
Directional Comparisons - Two Tickers📊 Directional Comparisons – Two Tickers
Overview:
This tool allows you to visually and statistically compare the directional behaviour of any two assets on any chart timeframe. It identifies and color-codes each bar based on how both the current asset and your chosen comparison asset performed in that period (e.g., both up, both down, diverging). A statistical summary table dynamically updates in the corner of your chart, tracking the probability and streak performance of each condition.
🛠 How It Works:
Each candle is analysed and color-coded based on the relationship between the current chart's asset and a comparison asset of your choice:
✅ Green – Both tickers closed higher (bullish alignment)
🔻 Red – Both tickers closed lower (bearish alignment)
🔷 Blue – Current ticker up, comparison ticker down (positive divergence)
🟧 Orange – Current ticker down, comparison ticker up (negative divergence)
You can toggle each colour condition on/off independently.
📈 Statistical Table (Top Right):
For the candles in the visible chart range, the indicator displays:
The frequency (probability) of each condition
Longest, shortest, and average streaks for each condition
Average % change for both the current and comparison asset under each scenario
All stats auto-update as you zoom or scroll through the chart.
🔧 User Inputs:
Comparison Ticker: Choose any ticker symbol to compare against the current chart
Toggle Conditions: Enable or disable individual directional conditions (color-coded)
✅ Use Cases:
Spot high-probability alignment zones between two assets (e.g., BTC vs ETH, SPX vs VIX)
Identify divergence opportunities for trading signals
Analyse historical relationships and co-movements between assets
Perform correlation streak studies directly on the chart
🔍 Notes:
The script works across all timeframes (1min to monthly).
Stats only consider visible bars on your chart for responsiveness.
Ideal for pair traders, macro analysts, or anyone interested in cross-asset relationships.
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