Indicators and strategies
PDH & PDLDescription (Copy & Paste)
Overview This is a lightweight, optimized indicator that displays the Previous Day High (PDH) and Previous Day Low (PDL) on intraday charts.
These levels are critical reference points for day traders, acting as key liquidity pools where price often reacts. Whether you are trading Mean Reversion (fading the edges) or Momentum (breakouts), knowing exactly where yesterday's auction limits were is essential context.
Key Features
Historical Accuracy: Plots historical levels using step-line style, allowing you to backtest how price reacted to PDH/PDL in the past.
Zero Clutter (V2 Optimization): Unlike standard indicators that spam labels on every bar, this version uses efficient var label logic. It maintains a single label instance that stays pinned to the current price action, keeping your chart clean.
Multi-Timeframe Ready: Fetches Daily data correctly regardless of your intraday timeframe (1m, 5m, 15m, etc.).
Fully Customizable: Toggle history lines or current labels on/off and adjust colors/width to fit your theme.
How to Use
Context: Use these levels to determine market sentiment. Opening above PDH suggests bullish imbalance; opening inside the range suggests balance/chop.
Entry Triggers: Watch for "Rejection" (wicks) or "Acceptance" (strong closes) at these lines.
Breakout: Price closes firmly outside the level with volume.
Reversal: Price sweeps the level and immediately reclaims the range.
Settings
Show Historical Levels: Enable to see the levels for previous days (useful for backtesting).
Show Current Labels: Enable to see the price tags on the hard right edge.
Asia Range + OB Zones + AlertsTrail run of script built with chatgpt and clude to mark hhs lows and OB's
Anh Nga 6.0 Split (Dynamic + MACD + PC)The script **Anh Nga 6.0 Split** is a professional-grade TradingView strategy designed for high-precision trading (specifically optimized for Gold/XAUUSD). It combines trend-following, momentum oscillators, and multi-timeframe analysis with a built-in automation bridge for **PineConnector** (MT4/MT5).
Here is a breakdown of how the strategy works for users.
---
## 1. Core Logic: How it Triggers
The strategy uses a "filter-first" approach, meaning it only looks for trades when multiple conditions align:
* **Primary Signal:** Uses the **Wave Trend (WT)** oscillator. It looks for "Gold Crosses" (long) or "Death Crosses" (short) when momentum is at extreme levels.
* **Trend Filter:** A dual Moving Average system (Fast 70 / Slow 140). It only buys if the price is above both and sells if below both.
* **MACD MTF Filter:** A "Big Brother" check. It looks at the MACD histogram on the **15-minute** and **30-minute** timeframes to ensure you aren't trading against the higher-timeframe momentum.
* **Overextension Guard:** It calculates the distance from the Fast MA using **ATR**. If the price has "run too far" from the average, it skips the trade to avoid buying the top or selling the bottom.
---
## 2. The "Split" Execution (Advanced Sizing)
The strategy classifies trades into two quality tiers based on **Bollinger Band Zones**:
| Trade Type | Condition | Position Size |
| --- | --- | --- |
| **AAA Zone** | Price is close to the Basis (Mean) | **100%** of your base lot |
| **B Zone** | Price is slightly stretched | **80%** of your base lot |
**Automated Partial Exits:**
When a trade is entered, it splits the position into two orders:
1. **Partial Runner (65%):** Aimed at a closer "TP1" to lock in profits early.
2. **Final Runner (35%):** Aimed at the full Risk:Reward target.
* **Break-Even Logic:** Once the first target is hit, the script automatically sends a command to move the Stop Loss to the entry price (BE).
---
## 3. Risk Management & Guards
* **Reversal Guard:** Prevents "revenge trading" by enforcing a cooldown period (default 5 bars) after an exit before you can trade in the opposite direction.
* **Dynamic Stop Loss:** Uses a **Bollinger Band Multiplier (1.7x)** to place stops outside of immediate market noise.
* **Max SL Filter:** If the market is too volatile and the calculated Stop Loss is larger than your "Max SL Dollars" (e.g., $35), the strategy will skip the trade entirely.
---
## 4. PineConnector Automation
The script is pre-configured to talk to MetaTrader 4/5 via **PineConnector**.
* It generates formatted alert messages containing your **License ID**, **Magic Number**, and **Volume**.
* It handles `buy`, `sell`, `modify` (for Break-Even), and `closeall` commands automatically.
### Visual Guide
* **Teal Line:** Fast Moving Average ().
* **White Line:** Slow Moving Average ().
* **Green/Red Zones:** Visual "AAA" and "B" zones for entry quality.
* **Red/Green Lines:** Active Stop Loss and Take Profit levels currently being tracked.
---
Deep Early Pullback ScannerIdentifies high-probability early entry setups in trending stocks. It high lights small-bodied red pullback candles within an uptrend, signaling potential continuation moves before conventional UT Bot buy signal triggers
Historical Annual Avg Growth Lines + 1-Year ProjectionThis script creates an overlay indicator on your TradingView chart that visualizes the historical average annual growth rate of the selected instrument (e.g., TSLA) in a specific way. Here's a step-by-step summary of what it represents and how it works:
Overall Purpose
It calculates the average annual percentage gain (arithmetic mean) across the instrument's entire trading history, using non-overlapping periods of 252 trading days each (approximating one year, excluding weekends/holidays).
It then draws horizontal green lines on the chart for each complete "year" segment, showing a projected "fair value" price level for that year based on the overall average growth rate.
This helps you compare actual historical price action against what the price "would have been" if it had grown steadily at the stock's long-term average annual rate. Lines above actual prices suggest periods where growth exceeded the average (potentially overvalued in hindsight), while lines below suggest underperformance (potentially undervalued).
The calculation excludes the most recent incomplete year (any bars beyond the last full 252-day segment), ensuring only fully realized historical periods are used.
Key Calculations
Identifying Complete Years: It divides the chart's data from the first trading day (bar_index 0) into segments of exactly 252 bars each. For example:
Year 1: Bars 0 to 251
Year 2: Bars 252 to 503
And so on, up to the last full segment before the current bar.
If the total bars aren't a perfect multiple of 252, the partial current year is ignored.
Average Annual % Gain: For each complete year segment:
It computes the % gain as (end_price - start_price) / start_price.
Sums these % gains across all years and divides by the number of years to get the overall average (e.g., if TSLA averaged 42% per year historically, that's the value used).
Projected Price Lines: For each year segment:
Takes the starting price of that year.
Applies the overall average % gain to project a "target" end-of-year price: start_price * (1 + average_annual_gain).
Draws a horizontal line at that projected price level, spanning only the bars of that specific year (e.g., a flat green line covering 252 bars, positioned above or below the actual price action for visual comparison).
Visual Representation
Horizontal Lines: Each green line is flat and covers one historical year block on the chart. Earlier years (left side) will have lower projected prices (reflecting lower starting prices), while later years (right side) will have higher ones as the base price compounds over time—but each is independent and based on that year's start.
No Smoothing or Rolling: Unlike a moving average, these are static historical segments (non-overlapping), recalculated only on the last bar for efficiency.
Example on TSLA: Assuming TSLA's long-term average annual gain is ~42% (based on its history since 2010 IPO), the line for Year 1 would be at * 1.42, spanning the first 252 bars. Year 2 would start from the actual price at bar 252 and project * 1.42, and so on. If lines are consistently above actual prices in recent years, it might indicate recent growth slowing relative to historical averages.
Forward Projection (1 Year Out)
The script also extends a dashed orange horizontal line to the right of the current bar, projecting the price one year into the future based on the same historical average annual growth rate.
It starts from the end price of the last complete historical year as the base.
Applies the average % gain once more to estimate the "target" price after another 252 trading days (e.g., base_price * (1 + average_annual_gain)).
The line is dashed and orange for distinction, extending approximately 252 bars to the right (scroll or zoom right to view the full projection). This provides a visual guide for where the price "might" trend if growth continues at the historical average, helping with long-term investment planning like setting targets or assessing potential upside.
Asia / London / Overlap / NY Sessions - Live + Futuresession markers to determine which session you're currently playing at
Log-Returns Anomaliad Z-score + VolatilidadLog-Returns: Anomalías (Z-score + Volatilidad)
Log-Returns: Anomalies (Z-score Volatility) This is the mathematically correct way to measure the price change between two periods
Bollinger Bands with 3SD Volume SegmentationPurpose
This script provides a structured way to analyze how real traded volume distributes across the different volatility zones defined by Bollinger Bands with three standard deviations, it reveals where activity concentrates, how pressure shifts between buyers and sellers, and how market participation behaves as price moves through expanding or contracting volatility regimes. The tool turns the bands into a mechanical segmentation system that exposes the microstructure hidden inside each volatility layer.
How it works
The script calculates Bollinger Bands at one, two, and three standard deviations, then assigns every bar’s volume to the correct volatility zone based on where price closed, it reconstructs buy and sell volume from candle behavior, computes delta as the difference between them, and aggregates these values over the chosen lookback window. Each zone displays total volume, delta, and a dominance percentage that expresses how strongly buyers or sellers controlled that region, all updated dynamically on the most recent bar. For example, if the Mid–U1 zone shows 28,450 contracts with a –2,728 delta and –9.59% dominance, that indicates mild seller control in a normally balanced rotation area, while the L1–Mid zone showing 10,606 contracts, +1,816 delta, and 17.12% dominance signals buyers absorbing pressure and defending the pullback.
Rationale
Volatility zones behave like natural boundaries where liquidity concentrates, where traders commit, hesitate, or get trapped, and where expansions or reversals often originate, so segmenting volume and delta by these zones provides a clearer picture of intent and pressure than raw volume alone. By quantifying how much buying or selling occurred in each volatility layer, the script helps identify continuation, absorption, exhaustion, and imbalance, giving traders a mechanical, objective map of market behavior rather than relying on subjective interpretation.
Stocks: QQQ Daily ATR% + Premarket Range (% of ATR)## Stocks/ETFs: QQQ Premarket Range (% of Daily ATR) — ORB Trading Guide
### What this indicator does
This indicator is built for **stocks and ETFs** like **QQQ** and is meant to support **Opening Range Breakout (ORB)** trading.
It measures the **Premarket Range** from **04:00 to 09:30** (exchange time), then compares that move to QQQ’s **typical full-day movement** using **Daily ATR(14)**.
The goal is simple:
> **Before the open, decide whether the day is more likely to behave like a “chop day” or an “expansion day,” and then choose the ORB style that matches.**
---
## Key terms (plain English)
### Daily ATR(14)
ATR stands for **Average True Range**.
On the **daily** timeframe, ATR(14) estimates QQQ’s **typical daily movement** over the last 14 trading days.
Think of it as:
> “On a normal day, QQQ tends to move about *X* dollars.”
---
### ATR% (vs Daily Close)
This converts ATR into a percent of price so you can compare volatility over time:
Think of it as:
> “QQQ’s typical daily move is about *X%* of its price.”
---
### Premarket Range (04:00–09:30)
This is the distance between the **premarket high** and **premarket low** during the session window:
**04:00 → 09:30**
Think of it as:
> “How much QQQ already moved before the bell.”
---
### Premarket Range % of ATR
This is the core measurement:
It answers:
> “How much of a normal day’s movement already happened before the open?”
Examples:
* **20%** = quiet premarket (small move)
* **60%** = active premarket (big move already happened)
---
## How to interpret the Regime label
This script classifies the day into one of three “regimes”:
### **CHOP-LEANING** (Premarket Range < 25% of Daily ATR)
Premarket was quiet. The open is more likely to be:
* range-bound
* full of fakeouts
* slower follow-through
### **NEUTRAL** (25%–50%)
Normal premarket activity. Either outcome is possible:
* trend or chop
* you must let the open confirm it
### **EXPANSION-LEANING** (Premarket Range > 50%)
Premarket was very active. The open is more likely to:
* move faster
* expand range quickly
* have stronger directional pushes (or sharp swings)
**Important:** Expansion does not guarantee a clean trend. It means **movement is more likely**.
---
# How I use this indicator with ORB (my rules)
This indicator is not a buy/sell signal by itself.
I use it to decide **which ORB style to trade**.
## Step 1 — Check the “Regime” before the open
* If the indicator reads **EXPANSION-LEANING**, I treat it like a momentum environment.
* If the indicator reads **CHOP-LEANING**, I treat it like a confirmation environment.
* If it reads **NEUTRAL**, I stay selective and let price action confirm.
---
## Step 2 — ORB Execution Rules
### ✅ If **EXPANSION-LEANING** (momentum day)
**Goal:** Catch the move early and avoid missing the breakout.
**My ORB plan:**
* Build my opening range using the **5-minute ORB**
* Enter on a **break of the ORB level**
* Use the **1-minute timeframe** for the actual entry trigger
**How I confirm the break:**
* I want a clean break through the ORB level (not just a wick touch)
* If price snaps immediately back inside the ORB, I avoid chasing
This approach fits expansion days because QQQ can move fast after the open and waiting for perfect retests can cause you to miss the push.
---
### ✅ If **CHOP-LEANING** (confirmation day)
**Goal:** Avoid fakeouts and only enter when the break proves itself.
**My ORB plan:**
* Build my opening range using a **15-minute ORB**
* I do **not** enter on the first break
* I wait for a **break and retest**
* Then I use the **5-minute timeframe** to confirm the retest holds before entry
This fits chop days because breaks fail more often, so I require confirmation before committing.
---
### ✅ If **NEUTRAL**
**Goal:** Reduce low-quality trades.
**My ORB plan:**
* Treat it as “wait and see”
* Only take the break if price shows strong conviction (hold outside ORB)
* If price is whipping in and out of the range, I skip the trade
---
## Best practices
* Works best on **1m / 5m / 15m charts** so the premarket high/low is captured accurately.
* Premarket session time uses the symbol’s **exchange time**.
* Use proper risk management—QQQ can move fast, especially on expansion days.
---
## Disclaimer
This script is for educational purposes only and is not financial advice. Trading involves risk. Always use risk management and test any approach before trading live.
Kinetic Resonance ScoreKRS indicator. Amalgamation of trend-following indicators for a clean interface. Please try and report.
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7M Multi-Factor Momentum ScoreboardThe 7M Scoreboard is more than just a collection of indicators; it is a Real-Time Scoring Engine designed for momentum traders and quant-focused analysts. While many scripts simply "mash up" indicators, the 7M Dashboard provides a weighted analytical framework that filters market noise into a single, actionable 7M Score.
It evaluates seven distinct dimensions of market health: Price Action, Relative Volume (Time-specific and Daily), Capital Structure (Float), and Multi-timeframe Trend alignment (VWAP, VWMA, MACD).
Make sure to enable Extended Trading Hours in the TradingView settings.
What makes it original?
The core innovation lies in the 7M Scoring & Alerting logic. Instead of a trader manually checking eight different parameters, the script performs a logical "Pass/Fail" assessment on every bar.
Dynamic Time-Anchored Change: Unlike standard change percentages, this script allows you to anchor the "Starting Price" to the Pre-market (4:00 AM), Regular Open (9:30 AM), or Post-market (4:00 PM).
Relative Volume (RVOL) at Time: It compares the current 5-minute volume not just to recent bars, but to the historical average for that specific time of day, filtering out the standard "lunchtime lull."
Capital Structure Integration: It incorporates a "Float" filter, essential for identifying low-float momentum vs. heavy-cap institutional moves.
How it works
The script calculates a total score out of 9 points based on the following criteria:
Momentum: Is price change > X percent from your chosen time anchor?
Liquidity: Is the 5-minute volume > X million?
Relative Strength: Is Daily RVOL and Time-specific RVOL > X?
Trend Alignment: Is price above VWAP and the 20-period VWMA?
Momentum Convergence: Is the MACD histogram positive?
Volatility Health: Is RSI between 30 and 70 (avoiding extreme over-extension)?
Step-by-Step Guide to Use
Set your Market Type: Open the settings and choose your Price Change Anchor.
Use Pre-Market if you trade the morning "Gap and Go."
Use Regular Open if you are a day-trader focused on the 9:30 AM bell.
Configure Thresholds: Set your Min % Move (e.g., 1.5%) and Min 5m Vol.
Monitor the 7M Score: Look at the bottom row.
Score < 5: High-risk, no clear momentum.
Score 7+: High-probability "7M Pass" setup.
Alerts (Great with TV's Watchlist Alerts)
Right-click the chart and "Add Alert." Select the 7M Dashboard and choose the "🚀 7M PASS" condition to be notified the moment a ticker hits your momentum criteria.
Recommended Settings for Different Assets
Small-Cap Momentum Pre-Market - 4.0% (Change) - 500k (5m Vol) - 50M (Float)
Mega-Cap / Tech Regular - 1.0% (Change) - 1.5M (5m Vol) - 30,000M (Float)
Crypto Intraday Regular - 2.5% (Change) - 1M (5m Vol) - 10,000M (Foat)
Technical Details
Pine Script Version: v6
Visuals: Features a high-contrast UI with adaptive text sizing for the final 7M Score.
Alerting: Includes an optimized alert() function for real-time momentum detection.
Disclaimer
The "7M Multi-Factor Momentum Scoreboard" is a technical analysis tool provided for educational and informational purposes only. Nothing contained in this script, its outputs, or the 7M Score constitutes financial, investment, or trading advice. Trading stocks, futures, and cryptocurrencies involves significant risk of loss and is not suitable for every investor.
No Guarantees: Past performance as displayed by historical indicators is not indicative of future results.
Model Limitations: The 7M Score is based on mathematical calculations of price and volume; it does not account for fundamental news, earnings surprises, or broader macroeconomic shifts.
Personal Responsibility: You are solely responsible for your own trading decisions. Always perform your own due diligence and consult with a licensed financial advisor before putting capital at risk.
Institutional ROC + Z-Score HeatmapInstitutional ROC + Z-Score Heatmap
Identifies statistically significant daily price moves by calculating the z-score of the rate of change (ROC) against a configurable historical lookback period. Designed for cross-asset regime monitoring and volatility detection.
How it works:
Calculates the daily percentage change (ROC)
Compares that move to the historical distribution of daily moves
Expresses the result as a z-score (standard deviations from the mean)
Color coding:
Teal: Extreme positive move (>3σ) — rare upside, potential blowoff top
Red: Extreme negative move (<-3σ) — rare downside, potential capitulation
Orange/Lime: Warning zone (2-3σ) — unusual but not extreme
Gray: Normal volatility — nothing actionable
Use cases:
Identify regime shifts across asset classes (equities, crypto, commodities)
Spot potential mean-reversion setups after extreme moves
Monitor cross-asset risk appetite (BTC, XBI, SPY) for tactical hedging signals
Recommended settings:
ROC Length: 1 (daily moves)
Lookback: 252 (1 year) for stable assets, 60-90 for volatile biotech
Nokor Traders CRTThis indicator combines three powerful tools in one to improve market analysis and trading decisions:
• Higher Timeframe Candlestick View – Helps traders understand overall market structure, momentum, and key price behavior from larger timeframes.
• Asia, London, and New York Killzone Sessions – Highlights major market trading sessions to help identify high-liquidity periods and potential volatility opportunities.
• Heikin Ashi Trend Line – Assists in detecting trend direction and potential reversal points with smoother price visualization.
This all-in-one indicator is designed to help traders identify market bias, session volatility, and trend changes more clearly and efficiently.
Admin t.me
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Livermore 5-Step Trade Dashboard [t2make]█ OVERVIEW
Jesse Livermore — arguably the greatest stock trader of the 20th century — never entered a trade on impulse. In "How to Trade in Stocks" (1940), he outlined a disciplined, top-down checklist that filtered out noise and kept him on the right side of the market.
This indicator translates Livermore's 5-step pre-trade test into a real-time, on-chart dashboard that automatically evaluates both LONG and SHORT setups simultaneously and tells you which direction has the stronger case — or tells you to sit on your hands.
No manual switching. No guessing. The market speaks, and the dashboard listens.
█ THE 5 STEPS
① MARKET TREND — "There is a time to go long, a time to go short, and a time to go fishing."
Compares fast/slow EMAs on your chosen market index (default: SPY). If the general market isn't trending in a clear direction, there's no trade. Period.
② SECTOR TREND — "Stocks move in groups. You must know which group your stock belongs to."
Checks whether the sector ETF (XLK, XLF, XLE, etc.) is confirming the broader trend. Livermore never fought the group.
③ STOCK ACTION — "The stock must be acting right."
The individual stock must be trending (EMA alignment) AND showing above-average volume. Trend without conviction is just drift.
④ PIVOTAL TIMING — "The pivotal point is where the money is made."
Price must be at or near a pivot high (for longs) or pivot low (for shorts), confirmed by RSI momentum. This is Livermore's famous "line of least resistance" — enter only when the stock is ready to move.
⑤ RISK MANAGEMENT — "Always define your risk before entering a trade."
ATR-based stop-loss, position risk as a percentage, and minimum reward-to-risk ratio. If the math doesn't work, the trade doesn't happen.
█ AUTO DIRECTION
This is the key differentiator. The script scores all 5 steps for both Long AND Short independently, then:
• The side with more passing steps wins
• If tied, the side aligned with the market trend (Step 1) takes priority
• If neither side scores, the dashboard shows "— NONE" — stay flat
The bottom row always displays both scores side by side (e.g., ▲ L 4/5 vs ▼ S 1/5) so you can see the full picture at a glance.
█ DASHBOARD SIGNALS
✅ GO TRADE — 5/5 steps pass. This is your green light.
⚠ ALMOST — 4/5 steps pass. One condition away — watch closely.
⏳ WATCH — 3/5 steps pass. Setup is forming but not ready.
🚫 NO TRADE — Below 3/5. Stay out.
On-chart markers:
🟢 Green ▲ below bar = Long 5/5 triggered
🔴 Red ▼ above bar = Short 5/5 triggered
🟡 Yellow ◆ = 4/5 (almost ready)
Subtle background tint when all 5 pass
█ HOW TO USE
1. Add the indicator to any stock or ETF chart
2. In settings, set your Market Index (SPY, QQQ, etc.) and Sector ETF to match your stock's sector
3. The dashboard does the rest — auto-detects direction and scores each step
4. Only trade when you see 5/5 PASS
5. Use the calculated Stop and Target levels as starting points for your trade plan
6. Set alerts for 5/5 and 4/5 triggers to get notified across your watchlist
Sector ETF reference: XLK (Tech), XLF (Financials), XLE (Energy), XLV (Healthcare), XLI (Industrials), XLP (Consumer Staples), XLU (Utilities), XLB (Materials), XLRE (Real Estate), XLC (Communications), XLY (Consumer Discretionary)
█ SETTINGS
Dashboard: Position (4 corners), Size (S/M/L), toggle EMAs and levels on/off
Step 1: Market symbol, fast/slow EMA periods
Step 2: Sector ETF symbol, EMA period
Step 3: Stock fast/slow EMA, volume surge multiplier, volume avg period
Step 4: Pivot lookback, RSI toggle, RSI period and OB/OS thresholds
Step 5: Max risk %, min R:R ratio, ATR period and multiplier
█ LIMITATIONS
• This is a checklist tool, not a signal generator — it tells you WHEN conditions align, not WHERE to enter tick-by-tick
• Works best on daily timeframe with stocks and ETFs that have reliable volume data
• Sector ETF must be set manually to match the stock you're analyzing
• Crypto and forex pairs may need adjusted parameters since they lack traditional sector groupings
• Past alignment of all 5 steps does not guarantee future results
█ NOTES
This indicator is inspired by Livermore's principles but is an interpretation, not a literal recreation. Livermore traded in an era before EMAs and RSI existed — he used price action and tape reading. The underlying logic, however, is the same: confirm the market, confirm the group, confirm the stock, wait for the pivot, and define your risk.
"It was never my thinking that made the big money for me. It always was my sitting." — Jesse Livermore
Follow @t2make on X for updates, new indicators, and trade ideas.
Brahmastra Moving Average ADX🔱 BRAHMASTRA MOVING AVERAGE ADX 🔱
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A precision trend detection system that fuses the Average Directional Index (ADX) with a dynamic Weighted Moving Average (WMA) to deliver crystal-clear trend signals.
█ HOW IT WORKS
━━━━━━━━━━━━━━
This indicator analyzes both TREND STRENGTH (via ADX) and TREND DIRECTION (via +DI/-DI) to color-code the moving average:
🟢 GREEN MA = Strong Uptrend (ADX > threshold + Bullish bias)
🔴 RED MA = Strong Downtrend (ADX > threshold + Bearish bias)
⚫ GRAY MA = Ranging/Weak Trend (ADX below threshold)
█ KEY FEATURES
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✅ ADX-Based Trend Confirmation - Only signals when trend strength is confirmed
✅ Color-Coded WMA - Instantly identify trend direction at a glance
✅ Buy/Sell Signals - Visual markers on trend reversals
✅ Real-Time Info Panel - Live ADX, +DI/-DI values, and trend status
✅ Customizable Visuals - Adjust colors, line width, and fill zones
✅ Built-In Alerts - Get notified on trend changes
█ SETTINGS
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- DI Length (default: 14) - Period for +DI/-DI calculation
- ADX Smoothing (default: 14) - Smoothing period for ADX
- ADX Trend Threshold (default: 18) - Minimum ADX to confirm trend
- MA Length (default: 9) - Period for the Weighted Moving Average
█ HOW TO USE
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1. TREND TRADING: Enter long when MA turns GREEN, short when RED
2. RANGE FILTER: Avoid trades when MA is GRAY (ranging market)
3. CONFIRMATION: Use the info panel to verify ADX strength before entry
4. ALERTS: Set up alerts to catch trend changes automatically
█ BEST TIMEFRAMES
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Works on all timeframes. Recommended: 15M, 1H, 4H, Daily
█ CREDITS
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Developed by Brahmastra Trading Systems
Inspired by the legendary ADX indicator by J. Welles Wilder Jr.
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