King Trade 4-hour buy/sell strategyThis is a buy/sell system for 4-hour candlestick charts. For best results, use it on Heiken Ashi candlestick charts.
Trendanalyse
Mod_Capital-Fibo🔥 Mk_Suhropbek_Fibo — Smart Fibonacci Trading Tool 🔥
Everyone draws Fibonacci.
Only professionals use it correctly.
💎 Mk_Suhropbek_Fibo is an automated Fibonacci indicator that analyzes real market structure and displays only high-probability levels.
📊 How it works:
— Analyzes the last 100 candles
— Automatically detects market trend (BUY / SELL)
— Draws Fibonacci levels in the correct direction
— Clearly marks 0 / 0.236 / 0.382 / 1 / 1.618 (TP)
⏱ Designed for H1 and higher timeframes
✔️ No noisy scalping
✔️ Clean and readable charts
✔️ Suitable for real accounts and prop firms
🔄 Updates only every 25 bars
— Keeps the chart clean
— No constant redrawing
— Focus on quality setups, not quantity
🎯 One setup = a complete trading scenario
— Clear structure
— Logical profit target (1.618)
— No counter-trend trades
📈 Proven market logic
— No overfitting
— Reusable, consistent behavior
— Discipline over emotions
🧠 Who is this indicator for?
✔️ Traders who use Fibonacci seriously
✔️ Those tired of guessing where to draw fib levels
✔️ Traders who treat trading as a business
🚫 No random entries
✅ Clear system
✅ Structured trading
📌 Mk_Suhropbek_Fibo — not prediction, but calculation.
BigLot Quantum SuperTrend V1BigLot Quantum SuperTrend V1 is a trend-following indicator that enhances the traditional SuperTrend by integrating statistical volume analysis.
The script combines an ATR-based SuperTrend engine with Kernel Density Estimation (KDE) applied to relative buy and sell volume. Volume behavior is modeled statistically, allowing the indicator to filter breakout signals and activate only when volume conditions show high probability compared to historical data.
Bullish and bearish signals are generated when price crosses the SuperTrend line and the corresponding volume probability exceeds a user-defined threshold. This approach helps reduce false signals during low-liquidity or sideways market conditions.
The script includes visual trend highlighting, probability-based confidence filtering, and a real-time dashboard displaying trend direction, volume strength, and signal status. It is designed to work across all markets and timeframes without repainting.
Dynamic EMA Trend Table [Customizable]Overview
The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance.
How It Works
This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status:
Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable).
Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable).
This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors).
Key Features
Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings).
Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution.
Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart.
Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below.
Settings & Configuration
Price Source: Select Close, High, Low, etc. (Default is Close).
Table Position & Size: Customize where the dashboard appears.
EMA Lengths: Set your 5 preferred lookback periods.
Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly).
Use Case Example
Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering.
Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
SpectreSPECTRE - Precision Reversal Detection System
OVERVIEW
Spectre is a channel breakout indicator designed to identify high-probability reversal points by combining Donchian channel breaches with momentum confirmation. It generates BUY signals at oversold extremes and SELL signals at overbought extremes, filtered by trend strength to avoid low-conviction setups.
This indicator replaces the Regime Engine, which will continue to evolve independently as an experimental platform for testing new strategies and enhancements. Spectre was selected as the production replacement based on extensive backtesting across multiple assets and timeframes, which demonstrated superior win rates compared to alternative sell logic approaches (RSI-based exits outperformed CMO-based exits in 13 of 18 test configurations).
SIGNAL LOGIC
BUY CONDITIONS (all must be true):
Price touches or breaks below Donchian lower band
RSI is at or below oversold threshold (default: 35)
ADX confirms sufficient trend strength (default: ≥22)
BBWP confirms adequate volatility (default: ≥20%)
Cooldown period has elapsed since last buy
Cascade limit not reached
SELL CONDITIONS (all must be true):
Price touches or breaks above Donchian upper band
RSI is at or above overbought threshold (default: 70)
ADX confirms sufficient trend strength (default: ≥22)
BBWP confirms adequate volatility (default: ≥20%)
Cooldown period has elapsed since last sell
Cascade limit not reached
Price is not underwater (if protection enabled)
KEY FEATURES
NON-REPAINTING DONCHIAN CHANNELS
Uses previous bar's high/low extremes to prevent signal repainting. What you see in history is what you would have seen in real-time.
MULTI-FACTOR CONFIRMATION
Signals require agreement between price action (Donchian), momentum (RSI), and trend strength (ADX) to filter out low-quality setups.
VOLATILITY FILTER (BBWP)
Bollinger Band Width Percentile measures current volatility relative to historical norms. Low BBWP indicates compressed ranges where breakouts are less reliable - signals are blocked until volatility returns.
CASCADE PROTECTION
Limits consecutive signals in the same direction to prevent overexposure during extended trends. Resets when a signal fires in the opposite direction.
UNDERWATER PROTECTION (Unique to Spectre)
Tracks average entry price of recent buys and blocks sell signals when price has fallen significantly below this level. This prevents locking in large losses during drawdowns and allows positions to recover before exiting.
REGIME DETECTION
Visual background shading indicates current market regime based on Directional Indicator spread and On-Balance Volume trend. Green indicates bullish regime (+DI > -DI, OBV rising). Red indicates bearish regime (-DI > +DI, OBV falling). White/Gray indicates neutral or ranging conditions.
RECOMMENDED SETTINGS BY TIMEFRAME
For 5-minute charts, use RSI Buy 30-35, RSI Sell 70-75, ADX 20-24.
For 15-minute charts, use RSI Buy 30-35, RSI Sell 68-72, ADX 22-26.
For 30-minute charts (default), use RSI Buy 32-38, RSI Sell 68-72, ADX 22-26.
For 1-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 20-24.
For 4-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 18-22.
These are starting points - optimize for your specific assets.
INFO PANEL GUIDE
Regime shows current market bias (Bullish/Bearish/Neutral). RSI shows current value with buy/sell threshold status. ADX shows trend strength categorized as Weak (<15), Range (15-24), Trend (24-34), or Strong (>34). BBWP shows volatility percentile with a warning symbol when below minimum. Donchian shows price position relative to channel bands. Avg Buy shows average entry price and underwater status. Cascade shows current consecutive signal counts versus limits.
USAGE TIPS
Works best in ranging or mean-reverting markets
Reduce RSI thresholds in strong trends (tighter = fewer signals)
Increase ADX minimum in choppy markets to filter noise
Enable underwater protection for swing trading, disable for scalping
Use regime background to contextualize signals (buy in green, sell in red)
Combine with support/resistance levels for additional confirmation
Order Blocks & ImbalanceThis indicator automatically identifies and plots Order Blocks (also known as Fair Value Gaps or Imbalances) based on Smart Money Concepts (SMC) and ICT methodology. It detects significant price inefficiencies (gaps between candles) that often act as institutional supply or demand zones.
How It Works (Technical Methodology)
1. Fair Value Gap (FVG) Detection
The indicator identifies classic 3-candle imbalances:
- Bullish Order Block (Demand): When the low of the current candle is significantly below the high of the candle two bars ago (low - high ).
- Bearish Order Block (Supply): When the high of the current candle is significantly above the low of the candle two bars ago (low - high ).
A minimum size threshold is enforced using ATR(14) × user-defined multiplier (default 0.5) to filter out minor gaps and focus on meaningful inefficiencies.
2. Zone Creation
- Bullish zones are created at the candle two bars ago (the "origin" candle where inefficiency occurred).
- Bearish zones use the same origin candle.
- Zone boundaries:
Top = high of origin candle
Bottom = low of origin candle
This captures the full range where price moved aggressively, leaving an imbalance that institutions may later revisit.
3. Mitigation Detection
Zones can be mitigated in two ways (user-selectable):
- "Close": Zone is considered touched only if the close price enters the zone.
- "Wick": Zone is touched if any wick (high/low) enters the zone (more sensitive).
When mitigated:
- Background becomes more transparent
- Border turns dotted
- Label changes to "Mitigated"
Broken zones (price fully closes beyond the opposite side) are automatically deleted.
4. Zone Lifecycle Management
- Active Zone: Strong color fill (green for demand, red for supply) with solid border.
- Mitigated Zone: Faded color, dotted border – indicates partial fill or reduced strength.
- Broken Zone: Automatically removed from chart to reduce clutter.
Old zones are also pruned when exceeding 450 total to maintain performance.
5. Smart Visibility Engine (Optional)
When enabled:
- All zones are initially hidden.
- Only the closest relevant zones are shown:
- Up to user-defined limit (default 10) highest bullish zones (closest below price)
- Up to user-defined limit (default 10) lowest bearish zones (closest above price)
- Visible zones are automatically extended to the right and styled appropriately.
This keeps the chart clean while highlighting the most actionable zones near current price.
6. Visual Elements
- Demand Zones: Green fill, labeled "OB Demand"
- Supply Zones: Red fill, labeled "OB Supply"
- Tiny text size to minimize chart clutter
- Zones drawn as boxes using bar_index positioning
How to Use
Order Blocks represent areas of price inefficiency where smart money likely entered/exited positions aggressively.
- Demand Zones (Green): Potential long entry areas when price returns. Expect buying pressure to defend these levels. Best setups when price retests an active (non-mitigated) zone.
- Supply Zones (Red): Potential short entry areas when price returns. Expect selling pressure to emerge.
- Mitigated Zones: Lower probability – may act as weaker support/resistance.
- Smart Visibility: Highly recommended for cleaner charts. Focuses attention on zones most likely to be tested soon.
- Combine with:
- Break of Structure (BOS)/Change of Character (CHOCH)
- Liquidity grabs
- Higher timeframe confluence
- Volume or momentum confirmation
Use higher FVG threshold (e.g., 0.8–1.0) for fewer, higher-quality zones. Lower threshold for more aggressive detection.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs).
At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs.
Key Features:
The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend.
Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing.
Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate.
How to Trade with Witch-Fire:
Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish.
Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines.
Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line.
Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
[ASFX] Free Automatic VWAPsAutomatic VWAP & Key Levels
Overview
This indicator is designed to help traders evaluate VWAP interactions in context, rather than treating every VWAP touch as a trade opportunity. It combines VWAP with a momentum-based directional filter to highlight situations where price interaction with VWAP is supported by broader intraday momentum. This indicator also shows you the initial balance and opening range each day.
Concept and Originality
VWAP is commonly used as an institutional reference level, but VWAP alone does not distinguish between meaningful acceptance/rejection and random intraday chop. This script addresses that limitation by conditioning VWAP interactions with a momentum filter. Signals are only displayed when price location and momentum alignment occur together, allowing traders to focus on higher-quality VWAP reactions instead of monitoring multiple indicators separately.
How It Works
• VWAP is used as the primary price reference level.
• A momentum filter evaluates directional bias and participation.
• Visual signals appear only when price is interacting with VWAP and momentum confirms acceptance or rejection in the same direction.
• No signals are shown during low-momentum or sideways conditions around VWAP.
How to Use
This indicator is best used as a confirmation tool, not as a standalone trading system. It is intended to assist traders in filtering VWAP-based trade ideas by highlighting when conditions are aligned versus when price is simply chopping around VWAP.
Markets and Timeframes
• Designed for index futures such as ES and NQ
• Optimized for intraday trading
• Works best on lower timeframes (1–5 minute charts)
Limitations
• Not predictive
• Not a complete trading strategy
• Does not replace price action analysis, trade management, or risk control
• Signals should be evaluated alongside market structure and context
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1
## Indicator Description & User Guide
---
## 📊 Indicator Overview
**Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1
**Type:** Support/Resistance & Liquidity Detection
**Trading Style:** ICT Concepts (Inner Circle Trader)
**Best Timeframes:** 1M, 5M, 15M, 1H
---
## 🎯 Core Features
### 1. **Support & Resistance Lines**
- Automatically draws key swing high and swing low levels
- Based on significant pivot points in price structure
- Updates dynamically as new swings form
### 2. **"X" Mark - Liquidity Sweep**
- **Symbol:** X marker on chart
- **Meaning:** Indicates a liquidity sweep (stop hunt)
- **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed
- **Trading significance:** High-probability reversal zones after liquidity is taken
### 3. **"SFP" Label - Swing Failure Pattern**
- **Symbol:** SFP text label
- **Meaning:** Swing Failure Pattern detected
- **What it shows:** Price attempted to make a new high/low but failed and reversed sharply
- **Trading significance:** Strong reversal signal - smart money rejecting the level
---
## 📈 How to Use This Indicator
### Entry Setup Strategy:
#### **For SHORT Trades (Sell):**
1. Wait for **SFP** to appear at a swing high
2. Look for **X marker** confirming liquidity sweep above the high
3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone
4. **Stop Loss:** Place above the red zone (above the swept high)
5. **Take Profit (Green Box):** Target the green zone below
#### **For LONG Trades (Buy):**
1. Wait for **SFP** to appear at a swing low
2. Look for **X marker** confirming liquidity sweep below the low
3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone
4. **Stop Loss:** Place below the green zone (below the swept low)
5. **Take Profit (Red Box):** Target the red zone above
---
## 🎨 Color Coding System
| Color | Zone Type | Usage |
|-------|-----------|-------|
| 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades |
| 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades |
| ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely |
| 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal |
---
## 💡 Trading Examples
### Example 1: SHORT Trade (As shown in your chart)
```
1. SFP appears at swing high (Red zone around 4,000)
2. X marker confirms liquidity sweep above the high
3. Entry: SHORT when price re-enters red zone
4. Stop Loss: Above red zone (e.g., 4,002)
5. Take Profit: Green zone below (3,964-3,972)
6. Risk:Reward = 1:3+
```
### Example 2: LONG Trade
```
1. SFP appears at swing low (Green zone)
2. X marker confirms liquidity sweep below the low
3. Entry: LONG when price re-enters green zone
4. Stop Loss: Below green zone
5. Take Profit: Previous red zone above
6. Risk:Reward = 1:2 minimum
```
---
## ⚠️ Important Trading Rules
### ✅ DO:
- Wait for BOTH SFP and X marker confirmation
- Enter on price returning to the zone (not on first touch)
- Use proper position sizing (1-2% risk per trade)
- Combine with market structure analysis
- Look for confluences (orderblocks, fair value gaps)
### ❌ DON'T:
- Trade against the higher timeframe trend
- Enter without confirmation signals
- Ignore the colored zones for SL/TP placement
- Overtrade - wait for quality setups
- Move stop loss to breakeven too early
---
## 🔧 Indicator Settings (Typical)
**Adjustable Parameters:**
- Swing Length: Number of bars to identify swing points
- Show/Hide X markers
- Show/Hide SFP labels
- Zone opacity and colors
- Line thickness
---
## 📚 ICT Concepts Explained
### **Liquidity Sweep:**
Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments.
### **Swing Failure Pattern (SFP):**
Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures.
### **Supply & Demand Zones:**
- **Red zones** = Areas where selling pressure overwhelmed buyers
- **Green zones** = Areas where buying pressure overwhelmed sellers
- These zones act as magnets for price to return and react
---
## 🎓 Best Practices
1. **Confluence is Key:**
- Combine with daily/weekly bias
- Check for orderblocks nearby
- Look for imbalances (FVG)
2. **Session Timing:**
- Best during London/New York sessions
- Avoid low liquidity periods
3. **Risk Management:**
- Never risk more than 1-2% per trade
- Use proper lot sizing
- Take partial profits at key levels
4. **Timeframe Correlation:**
- Check higher timeframe for bias
- Enter on lower timeframe for precision
- Exit based on higher timeframe targets
---
## 📞 Support & Updates
**Version:** 1.0
**Compatibility:** TradingView Pine Script v5
**Updates:** Regular improvements based on ICT methodology
---
## ⚡ Quick Reference Card
| Signal | Action | SL Placement | TP Target |
|--------|--------|--------------|-----------|
| SFP + X at High | SHORT at Red Zone | Above Red | Green Zone |
| SFP + X at Low | LONG at Green Zone | Below Green | Red Zone |
**Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context.
---
*Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
Pre-Market + Daily + Weekly REGULAR HOURS 📦 Pre-Market + Daily + Weekly RTH Range Boxes
This indicator automatically plots Pre-Market, Daily, and Weekly range boxes based strictly on US Regular Trading Hours (RTH).
What it does:
Pre-Market Box (04:00–09:30)
Captures the full pre-market high and low, then projects the range forward from the RTH open.
Daily RTH Box (09:30–16:00)
Tracks the previous day’s regular session high and low and plots the range starting at 04:00 AM the next day.
Weekly RTH Box (Mon–Fri, 09:30–16:00)
Accumulates the full weekly RTH range and plots it at 04:00 AM on Monday.
TRADING NAVIGATOR📘 TRADING NAVIGATOR OPERATIONS MANUAL
This manual is designed to turn the script into your complete trading plan.
1. The Golden Rule: Planetary Alignment
Success with this script is not about trading every signal, but waiting for the confluence. Golden Trick: Do not trade on low timeframes (15M) if the trend on the higher timeframe (4H or D) is contrary. The Master Signal: Enter when the RELIABILITY column marks "HIGH" on at least 3 consecutive timeframes.
2. How to open a LONG (Buy) position: Look for these exact conditions on the board: TREND: It should say "BULLISH" (Price above the 200 EMA). ACTION: It should be marked LONG. ENTRY: The price should be near or touching the value indicated in the SUPPORT column. RSI: Ideally between 35 and 45 (healthy pullback) or crossing above 30. Execution: Place your limit order at the ENTRY price on the chart. The TP and SL are your mandatory exit coordinates.
3. How to open a SHORT (Sell) position: Look for these exact conditions on the board: TREND: It should say "BEARISH" (Price below the 200 EMA). ACTION: It should be marked SHORT. ENTRY: The price should be near or touching the value indicated in the RESIST column. (Resistance). RSI: Ideally between 55 and 65 or crossing below 70. Execution: Limit order at the ENTRY price on the chart. Don't chase the price; let it rise to the resistance to enter.
4. Golden Tricks to Gain Consistency: The Volatility Filter: If the VOLAT column shows "HIGH," reduce your position size by half. High volatility means sharp movements that can hit your SL before reaching the TP. The Timeframe Jump: If you see a LONG position on the 15M chart but the trend on the D (Daily) chart is BEARISH, that trade is high risk (pure Scalping). If both are BULLISH, you have a "High Probability Trade." RSI as a sentinel: If the RSI is at 50, the market is indecisive. Wait for it to approach the extremes (30 or 70) so that the Navigator's ACTION has more rebound strength.
5. Recommended Markets:
The TRADING NAVIGATOR is a structure and volatility algorithm, so it works where there is liquidity: Market | Effectiveness | Why |
Cryptocurrencies | ⭐⭐⭐⭐⭐ ATR volatility is best exploited in BTC and ETH. |
Indices (Nasdaq/SP500) | ⭐⭐⭐⭐ Ideal for following the TREND column (EMA 200). |
Forex (Majors) | ⭐⭐⭐ Use it on high-volume pairs (EURUSD, GBPUSD). |
Gold / Oil | ⭐⭐⭐⭐ Very sensitive to the support and resistance levels calculated by the script. |
6. Risk Management (Psychology) | Accepts Stop Loss: The script calculates the SL at 2.0x ATR to give the price "breathing room". If it is touched, the structure has been broken. Don't move the Stop Loss. Partial Taking: When the price has moved 50% of the way to the Take Profit, move your Stop Loss to the ENTRY (Breakeven) price. This ensures that the trade can no longer result in losses.
SilverHawk Trend Flow Part of SilverHawk Suite
This script is designed to be used with the SilverHawk Suite workflow (context → trigger → confirmation → execution).
It works standalone, but the highest accuracy comes from using the full suite together.
Where it fits:
• Role: Context
What it does:
Colors candles based on detected trend regime, so you trade with the prevailing direction and avoid fighting structure.
How to use:
• Bullish color: prefer long triggers only
• Bearish color: prefer short triggers only
• No clear trend / transition: stand down and wait for the suite trigger + confirmation
Visual Tip: (important)
If candles look “hidden”: Settings → Visual Order → Bring To Front
Alerts:
New Up Trend / New Down Trend alerts trigger on confirmed candles (non-repainting style).
Suite note:
For full workflow and loadouts, start with: “SilverHawk Suite — Start Here (Workflow Guide)” (free)
Credits / License
Based on PhantomFlow Trend Detector (MPL-2.0). This script remains MPL-2.0.
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events.
🔶 Advanced SMA-MAD Band Construction
Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations.
// Core SMA-MAD Framework
SMA_Value = ta.sma(close, SMA_Length)
Mean = ta.sma(close, MAD_Length)
Abs_Deviation = abs(close - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Adaptive Bands
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
🔶 Intelligent Dual-Filter System
Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations.
🔶 Dynamic Trend Strength Engine
Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements.
🔶 Super Trend-Style Direction Logic
Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility.
🔶 ATR-Based Ribbon Visualization
Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions.
🔶 Multi-Dimensional Visual Architecture
Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components.
🔶 Slope Strength Validation
Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position.
🔶 Signal Generation Framework
Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates.
This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Golden Zone Structure [Kodexius]Golden Zone Structure is a ZigZag based market structure and Fibonacci tool designed to make swing context easier to read directly on the price chart. It detects meaningful pivot highs and lows, labels the evolving structure (HH, HL, LH, LL, including equal highs and lows), and automatically projects a Fibonacci map across the most recent completed swing.
Instead of forcing you to manually anchor Fib tools after every new leg, the script rebuilds levels each time a fresh pivot is confirmed. This makes it well suited for traders who focus on swing continuation, pullback depth, and reaction zones where liquidity and orderflow often concentrate.
A key emphasis is the Golden Zone highlight. The indicator shades the zone that is most relevant to the current swing context so you can quickly spot where a retracement is approaching a higher probability reaction area, without cluttering the chart with too many permanent objects.
The tool is intentionally visual and configurable. You can choose pivot source (High/Low or Close), adjust swing sensitivity via ZigZag period, switch color themes, and decide how much detail you want on screen (levels, zigzag lines, labels).
Optional trading markers can be enabled for users who want a lightweight “zone interaction” prompt. These markers are not intended as a standalone trading system. They are meant to complement your own confirmation rules (structure alignment, volume, higher timeframe bias, or price action triggers).
🔹Features
🔸 ZigZag Swing Engine
- Uses a configurable ZigZag period to filter noise and confirm swing points only when the lookback logic validates the move.
Supports different pivot sources (High/Low or Close) so you can choose between cleaner structure or more reactive behavior depending on the instrument.
Optional ZigZag leg drawing to visualize swing flow without clutter.
🔸 Market Structure Labels (HH, HL, LH, LL + Equals)
- Automatically labels each confirmed pivot based on how it compares to the prior pivot of the same type.
High side classification: H, HH, LH, EH.
Low side classification: L, HL, LL, EL.
Equal highs and lows help reveal potential liquidity pools and “magnet” areas where price often reacts or breaks with intent.
🔸 Auto Fibonacci Map on the Active Swing
- Rebuilds Fibonacci levels every time a new pivot is confirmed, keeping the projection aligned with the most recent completed leg.
Core retracement levels: 0.236, 0.382, 0.500, 0.618, 0.786.
Extension levels: 1.272 and 1.618 for expansion targeting and continuation mapping.
Optional price labels on each level, formatted to tick size so levels remain readable across markets.
🔸 Golden Zone Highlighting (Context Aware)
- Highlights the most relevant retracement band with a soft fill so you can spot “zone approach” moments at a glance.
The zone selection adapts to swing context, focusing on a different retracement region depending on whether the last confirmed pivot is a peak or a trough.
Adjustable transparency keeps the chart clean while preserving the key reaction area.
🔸 Visual Customization + Themes
- Multiple color themes (Neon, Ocean, Sunset, Monochrome) so the tool fits different chart styles and backgrounds.
Independent toggles for Fib levels, Golden Zone shading, ZigZag lines, and price labels.
Line width controls for better scaling across timeframes.
🔸 Optional Trading Markers + Alerts
- Optional BUY and SELL labels based on zone interaction logic with candle confirmation filters.
ATR based placement offset scaled by sensitivity so labels stay visually separated during volatility.
Built in alert conditions for new pivot highs and new pivot lows so you can monitor structure changes without watching every bar.
▶ Practical Usage Tip
• Use structure labels to define bias (HH + HL for bullish structure, LH + LL for bearish structure).
• Use the Golden Zone as a location filter, then wait for your own trigger (break of minor structure, rejection candle, volume shift, etc.).
• Treat extensions as “map points” not guaranteed targets. They work best when structure supports continuation.
Kira Buy Sell EMA & VWAP Trend IndicatorThis indicator provides buy and sell signals based on short-term
momentum shifts while aligning trades with the broader market
trend.
Core logic:
• Fast and slow EMAs are used to identify short-term momentum
changes
• VWAP is applied to confirm price acceptance in the trade
direction
• A higher-period EMA is used as a trend filter to reduce
counter-trend signals
Buy signals are generated when bullish momentum aligns with
VWAP positioning and the prevailing trend. Sell signals are
generated when bearish momentum aligns with VWAP and the
broader trend direction.
This approach keeps the logic simple and responsive while
helping to avoid signals during unfavorable market conditions.
Best suited for liquid stocks and indices on intraday
timeframes such as 5-minute to 1-hour charts.
This script does not repaint and is intended as a
decision-support indicator, not a standalone trading system.
Minervini Template + Powerplay detectorMinervini Template + PowerPlay Detector
This indicator implements a rule-based Minervini trend template to identify stocks in strong, institutionally supported uptrends, combined with a Power Play momentum detector for explosive leadership moves.
Minervini Model (MM) Rules
The MM dashboard turns GREEN only when all of the following rules are met:
Close ≥ 150-day SMA
Close ≥ 200-day SMA
50-day SMA > 150-day SMA
50-day SMA > 200-day SMA
150-day SMA ≥ 200-day SMA
200-day SMA is rising (current value higher than ~1 month ago)
Close is at least 30% above the 52-week low
Close is within 25% of the 52-week high
Close is not more than 8% below the 50-day SMA
These rules ensure:
Proper long-term trend structure
Institutional accumulation alignment
Strength near highs, not extended weakness
When MM is red, hovering over it shows exactly which rules failed, allowing quick diagnosis of why a stock does not qualify.
POWERPLAY Logic
POWERPLAY highlights rare, high-velocity leadership moves:
Triggers when a stock gains 90% or more within any rolling window of up to 60 trading sessions
Remains active as long as the condition continues to hold
Hover tooltip displays:
Start date of the move
Current date
Total percentage gain so far
This captures fast institutional momentum, even if the move occurs in fewer than 60 sessions.
Dashboard Features
Moveable to any corner of the chart
Adjustable size
Adjustable opacity
Designed for trend followers and momentum traders seeking true market leaders, not short-term noise or late-stage breakouts.
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices.
The indicator works by calculating in the following steps:
Asset Selection
The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD").
Monthly Return Calculation
For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as:
Return = (Close - Open) / Open
This step provides a normalized measure of performance for each asset per month.
Data Aggregation
The script stores two key arrays for each asset and month combination:
sumReturns: The cumulative sum of monthly returns
countReturns: The number of months with valid data
This allows averaging returns later while handling months with missing data gracefully.
Table Construction
Rows representing months (January–December)
Columns representing each asset
An additional column showing the average return for all assets per month
A final row showing the yearly average return for each asset
Filling the Table
The table cells are filled as follows:
Monthly returns are averaged for each asset and displayed as a percentage.
Positive returns are colored green, negative returns red.
Missing data is displayed as a gray “—” placeholder.
Each row’s values are normalized for the color gradient to show relative performance.
Averages Computation
The script calculates two types of averages:
Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points.
Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data.
These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison.
Buy and Sell Conditions
This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to:
Identify months where an asset historically outperforms (bullish bias)
Identify months with weak historical performance (bearish caution)
Compare seasonal patterns across multiple assets for portfolio allocation
Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies.
Features and Parameters
Number of assets: Set how many assets are included in the table (1–32).
Assets: Input symbols for the assets you want to analyze.
Low % Color: Defines the color for the lowest monthly returns in the gradient.
High % Color: Defines the color for the highest monthly returns in the gradient.
Cleaned asset names for concise display.
Gradient-based visualization for easier pattern recognition.
Monthly and yearly averages for comparative analysis.
Specifications
Monthly Return Calculation
Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets.
Arrays for Storage
sumReturns: Float array storing cumulative monthly returns.
countReturns: Integer array storing the number of valid data points per month.
These arrays allow efficient aggregation and average calculations without overwriting previous values.
Data Retrieval via Security Calls
Requests monthly OHLC data for each asset using request.security.
Ensures calculations reflect the correct timeframe and allow for historical comparison.
Color and Text Assignment
Green text for positive returns, red for negative returns.
Gray cells indicate missing data.
Gradient background shows relative magnitude within the month.
Seasonality Analysis
The table visually encodes which months historically produce stronger returns.
Useful for portfolio rotation, risk management, and identifying cyclical trends.
Scalability
Supports up to 32 assets.
Dynamically adapts to the number of assets and data availability.
Gradient scales automatically per row for consistent comparison.
Order Flow: Structural Sniper [Profile + Signals]Overview
This script is a comprehensive tool designed to bridge the gap between Market Structure and Order Flow analysis. It aims to eliminate the subjectivity of static support and resistance lines by focusing on dynamic liquidity and the behavior of aggressive versus passive market participants.
Unlike traditional indicators that plot static data, the Structural Delta Map dynamically anchors its analysis to the start of the current trend (Pivots), providing a clear "X-Ray" view of how volume was distributed during the current price swing.
How it Works
The indicator combines three distinct technical concepts into a single system:
1. Market Structure (Pivots):
It uses a pivot detection algorithm to identify significant Swing Highs and Swing Lows. This determines the market bias and anchors the analysis to the origin of the movement.
2. Anchored VWAP (Fair Price):
It automatically calculates the Volume Weighted Average Price (VWAP) starting from the last confirmed pivot. This yellow line acts as the "spine" of the trend, serving as dynamic institutional support/resistance.
3. Delta Profile & Heatmap:
A Volume Profile is plotted on the left side, anchored to the pivot.
Split Delta: Instead of a single color, bars are split into Green (Buying Volume) and Red (Selling Volume) based on price action estimation.
Heatmap Logic: The opacity of the bars adjusts automatically. Bright/Solid bars represent High Volume Nodes (HVN), while transparent bars represent Low Volume Nodes (LVN) or liquidity voids.
How to Use (Strategy)
The indicator provides both visual context and specific entry signals:
1. Visual Context:
Profile: Look for reactions at bright, wide bars (High Volume Nodes). These act as magnets or barriers.
Yellow Line (VWAP): In an uptrend, look for buy opportunities when price retraces to this line. In a downtrend, look for shorts on the retest.
2. Aggression Signals (Triangle "AGR"):
Type: Trend Continuation / Pullback.
Logic: Triggers when price retraces to the structural value zone (near VWAP), rejects it with higher-than-average volume, and closes in the direction of the trend.
3. Absorption Signals (Cross "ABS"):
Type: Reversal / Trap.
Logic:
Bullish Absorption: Price makes a new local low with high volume (selling pressure), but the candle closes bullish (leaving a long bottom wick). Passive buyers absorbed the aggression.
Bearish Absorption: Price makes a new local high with high volume, but closes bearish. Passive sellers absorbed the buying pressure.
Settings
Pivot Sensitivity: Adjusts how the script detects trend changes.
Profile Resolution: Controls the number of rows in the histogram.
Signal Filters: Enable/Disable signals and adjust the Volume Multiplier threshold.
Technical Disclaimer
This indicator estimates "Delta" (Buy vs. Sell volume) based on OHLC price action and bar volume, as Pine Script does not grant access to historical tick-by-tick data. While this approximation is highly effective for identifying aggression and absorption, it differs slightly from Level 2 footprint data found on platforms like Sierra Chart. Accuracy depends on the volume data provided by your exchange.
CAHOLD / CBLOHDCAHOLD (Close Above Highest Low Day) and CBLOHD (Close Below Lowest High Day)
The logic is based on identifying pullbacks followed by strength in the direction of the trend, making it useful as a trend-continuation entry signal rather than a reversal tool.
⸻
How CAHOLD Works (Bullish)
1. A sequence of red candles forms (a pullback).
2. The first green candle appears.
3. The script identifies the highest high of the prior red-candle sequence (HOLD).
4. A CAHOLD signal triggers when a green candle closes above that HOLD level.
5. A small green arrow is plotted below the candle.
⸻
How CBLOHD Works (Bearish)
1. A sequence of green candles forms (a bounce).
2. The first red candle appears.
3. The script identifies the lowest low of the prior green-candle sequence (LOHD).
4. A CBLOHD signal triggers when a red candle closes below that LOHD level.
5. A small red arrow is plotted above the candle.
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Optional Filters
• EMA / SMA Trend Filter
Only shows CAHOLDs in uptrends and CBLOHDs in downtrends.
• Minimum Pullback Depth
Requires a minimum number of red/green candles before a signal can trigger.
• ATR Breakout Filter
Requires price to break the level by a volatility-adjusted amount.
RSI Divergences KittenRSI Divergences + Adjustable RSI σ-Bands + Band Pierce Signals (with optional US weekend filter)
Description:
This indicator combines three RSI tools into one clean workflow:
1. RSI σ-Bands (mean ± k·σ)
It builds dynamic upper/lower bands around RSI using a moving mean and standard deviation. These bands adapt to regime changes (expanding in volatile periods, contracting in quiet periods). Bands can be clipped to RSI’s natural 0–100 range and optionally filled for readability.
2. Band “Pierce” Signals
It prints a marker when RSI crosses outside the upper band (overextension) or outside the lower band (underextension). These pierces are useful as timing signals for mean-reversion setups, especially when you expect price to revert back toward a reference mean (e.g., VWAP). Optional “re-entry” markers show when RSI crosses back inside the bands.
3. Proper RSI Divergences (Regular + Hidden)
Divergences are detected using RSI pivots (not price pivots). At each RSI pivot, the script samples the corresponding price high/low on that pivot bar and compares it to the previous pivot within a configurable bar-distance window.
• Bullish divergence: price lower low + RSI higher low
• Hidden bullish: price higher low + RSI lower low
• Bearish divergence: price higher high + RSI lower high
• Hidden bearish: price lower high + RSI higher high
Line width is configurable for visibility.
Manual Band Adjustment (Near-Miss Control):
If your best reversals “nearly” tag the band, you can manually tune sensitivity without rewriting the math:
• Band offset (RSI points): nudges trigger levels
• Band width scale: tightens/widens the σ-band envelope
US Weekend Filter (Optional):
You can optionally suppress pierce/divergence signals during US weekend hours (Fri 17:00 ET → Sun 17:00 ET) and optionally shade those periods to help isolate low-liquidity behavior.
Notes / Intended Use:
This is designed as a mean-reversion timing tool, not a standalone trading system. For best results, combine signals with a market “mean” (e.g., rolling VWAP) and basic risk controls.
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
TRS (Trend Readiness System)TRS – Trend Readiness System
TRS (Trend Readiness System) is a trend-aligned trading framework designed to help you identify stocks that are becoming ready for entry , not just those already breaking out.
Instead of producing noisy buy/sell signals, TRS evaluates trend quality, pullback structure, momentum rebuilding, and market context , and converts them into clear scores, states, and timing awareness — both on the chart and inside the TradingView Screener.
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Core Philosophy
Strong trends don’t start at the breakout — they start when conditions quietly align.
TRS focuses on:
• Primary trend alignment
• Healthy pullbacks above long-term support
• Early momentum recovery
• Market regime confirmation
• Entry timing (fresh vs late)
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What TRS Measures
1. Setup Score (Trend Quality)
Answers the question: “Is this stock structurally worth watching?”
Based on:
• Price position relative to MA150
• Long-term trend direction
• Higher-low structure
• Distance from MA150 (overextension control)
• Market regime (bullish / bearish)
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2. Entry Score (Timing Quality)
Answers the question: “Is the timing right — or still early?”
Based on:
• Short and mid-term moving averages
• Pullback behavior
• Momentum stabilization
• Volume confirmation
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3. General Score
A combined readiness score used for ranking in the TradingView Screener:
General Score = Setup Score + Entry Score
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Entry State Tracking (Key Feature)
TRS tracks the full entry lifecycle , not just signals:
• Valid Entry
• Pending Entry (almost ready)
• Bars Since Valid Entry
• Entry Window (Fresh / Expired)
• Entry Still Valid (Yes / No)
This helps avoid chasing late or already-played setups.
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Market Regime Filter
Signals automatically adapt to overall market conditions:
• Market trend confirmation (e.g. SPY / QQQ)
• Reduced false signals during weak markets
• Clear explanation when setups are blocked
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Visual Dashboard (Optional)
The on-chart dashboard can display:
• General Score
• Market state
• Setup quality
• Entry status
• Entry window
• Bars since entry
• Blocking reason (if any)
You can switch between:
• Minimal mode – essential info only
• Full table mode – detailed diagnostics
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Screener Integration
TRS exposes clean numeric outputs for the TradingView Pine Screener:
• Setup Score
• Entry Score
• General Score
• Pending Entry (1 / 0)
• Valid Entry (1 / 0)
• Bars Since Valid Entry
• Market Bullish (1 / 0)
Example Screener Filters:
• Setup Score ≥ 50
• Pending Entry = 1
• Bars Since Valid Entry ≤ 3
• Market Bullish = 1
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How to Use TRS (Daily Routine)
Step 1 – Scan
• Look for high Setup Score
• Prefer Pending Entry = 1
Step 2 – Review
• Confirm pullback quality
• Check MA150 support
• Observe momentum rebuilding
Step 3 – Act
• Enter only on Valid Entry
• Avoid expired entry windows
• Skip setups blocked by market regime
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What TRS Is NOT
• Not a breakout chaser
• Not a day-trading system
• Not signal spam
TRS is a decision-support system for swing and position traders who value structure, context, and timing.
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Best Used On
• Daily timeframe (1D)
• Liquid stocks & ETFs
• Trend-following strategies
• Portfolio-level screening
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EAOverview
The provided Pine Script code implements a technical analysis indicator known as the UT Bot Alerts. It is a volatility-based trend-following system designed to generate Buy and Sell signals. It uses the Average True Range (ATR) to calculate a dynamic trailing stop line, which helps identify trend reversals.
Key Components & Logic
1. Inputs (User Settings):
• Key Value (a): A sensitivity multiplier. A lower value makes the signals more frequent (sensitive), while a higher value filters out noise (less sensitive).
• ATR Period (c): The timeframe used to calculate the Average True Range (volatility). Default is 10.
• Heikin Ashi (h): A boolean switch (True/False) that allows calculations to be based on Heikin Ashi candles (smoother price action) instead of standard candlesticks.
2. Core Mechanism (ATR Trailing Stop):
• The script calculates an ATR Trailing Stop (xATRTrailingStop).
• Uptrend: If the price is rising, the stop line moves up but never moves down, acting as dynamic support.
• Downtrend: If the price is falling, the stop line moves down but never moves up, acting as dynamic resistance.
3. Signal Generation:
• Buy Signal: Generated when the price (specifically a 1-period EMA) crosses above the Trailing Stop line. This indicates a shift to an uptrend.
• Sell Signal: Generated when the price crosses below the Trailing Stop line. This indicates a shift to a downtrend.
4. Visuals & Alerts:
• Labels: It plots "Buy" (Green) and "Sell" (Red) labels on the chart at the point of the signal.
• Bar Colors: It colors the candlesticks Green during an uptrend and Red during a downtrend.
• Alerts: It creates alert conditions (UT Long and UT Short) that can be hooked into TradingView's alarm system for real-time notifications.
Summary
In short, this script is a Trend Reversal Indicator. It helps traders stay in a trade as long as the price remains on the correct side of the volatility-adjusted trailing stop, and it alerts them immediately when the trend direction changes.
