Ajau — Volume Spike Split (Buy vs Sell)EN (English Summary)
This indicator highlights volume spikes above average and splits them by candle direction:
Bullish spike (close ≥ open): triangle-up under the bar (+ optional bar coloring)
Bearish spike (close < open): triangle-down above the bar (+ optional bar coloring)
Designed to be single-panel, minimal, and easy on the eyes.
Logic
Average volume = SMA(len)
Threshold modes:
Multiple (x), e.g., 2.0 → current volume > 2× avg
Percent (%), e.g., 100% → equals 2× avg
Spike = volume > threshold
Key Inputs
Use Multiple Instead of % (recommended)
Spike Multiple (x) (default 2.0)
Spike Ratio % (when Multiple is OFF; 100 = 2×)
Volume Average Length (SMA) (default 21)
Color candles on spikes
Show UP/DOWN marker
Quick Start
Add to chart
Set Use Multiple = ON and Spike Multiple = 2.0 for a 2× rule
Turn Color candles on spikes off if you prefer original chart colors
Alerts: Create Alert → Bullish / Bearish Volume Spike
Educational use only. Not financial advice.
แท็กแนะนำ (Tags)
volume spike, relative volume, rvol, high volume, breakout, accumulation, distribution, momentum, volatility, scalping, swing
Cari skrip untuk "莱加内斯VS皇家社会"
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance.
THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES
Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?"
KEY COMPONENTS AND WEIGHTINGS
The trend score combines
▪ Momentum (25%): Normalized 14-period RSI, capped at ±100.
▪ Trend Direction (35%): 10/21-period EMA relationships,
▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100.
▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100.
Final score = Weighted sum, smoothed with 5-period EMA.
INTERPRETING THE MSTG CHART
Trend Score Ranges and Colors
▪ Bright Green (>+30): Strong bullish; ideal for long entries.
▪ Light Green (+10 to +30): Weak bullish; cautiously favorable.
▪ Gray (-10 to +10): Neutral; avoid directional trades.
▪ Light Red (-10 to -30): Weak bearish; exercise caution.
▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts.
Reference Lines
▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes.
▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends.
▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist.
Background Colors
▪ Green Tint (>+20): Bullish environment; favorable for longs.
▪ Red Tint (<-20): Bearish environment; caution for longs.
▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals.
Extreme Readings vs. Traditional Signals
MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30.
INFORMATION TABLE INTERPRETATION
Trend Score Symbols
▲▲ >+30 strong bullish
▲ +10 to +30
● -10 to +10 neutral
▼ -30 to -10
▼▼ <-30 strong bearish
Colors: Green (positive), White (neutral), Red (negative).
Momentum Score
+40 to +100 strong bullish
0 to +40 moderate bullish
-40 to 0 moderate bearish
-100 to -40 strong bearish
Market vs. Stock
▪ Green: Stock outperforming market
▪ Red: Stock underperforming market
Example Interpretations:
-0.45% / +1.23% (Green): Market down, stock up = Strong relative strength
+2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness
-1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength
UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD
⚠️ Critical distinctions
Traditional Overbought/Oversold Signals:
▪ Single indicator (like RSI >70 or <30) showing momentum excess
▪ Often suggests immediate reversal or pullback expected
▪ Based on "price moved too far, too fast" concept
MSTG Extreme Readings (±60):
▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength)
▪ Indicates maximum strength in current direction
▪ NOT a reversal signal - means "all systems extremely bullish/bearish"
Key Differences:
▪ RSI >70: "Price got ahead of itself, expect pullback"
▪ MSTG >+60: "Everything is extremely bullish right now"
▪ Strong trends can maintain extreme MSTG readings during major moves
▪ Breakdowns happen when MSTG falls below +30, not at +60
Proper Usage of Extreme Readings:
▪ Risk Management: Tighten stops, take partial profits
▪ Position Sizing: Reduce new position sizes at extremes
▪ Trend Continuation: Watch for sustained extreme readings in strong markets
▪ Exit Signals: Look for breakdown below +30, not reversal from +60
TRADING WITH MSTG
Quick Assessment
1. Check trend symbol for direction.
2. Confirm momentum strength.
3. Note relative performance color.
Examples:
▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.
▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning.
Entry Conditions
▪ Long: stock outperforming market
- Score >+30 (bright green)
- Sustained green background
- ▲▲ symbol,
▪ Short: stock underperforming market
- Score <-30 (bright red)
- Sustained red background
- ▼▼ symbol
Avoid Trading When:
▪ Gray zone (-10 to +10).
▪ Rapid color changes or frequent zero-line crosses (choppy market).
▪ Gray background (range-bound).
Risk Management:
▪ Stop Loss: Exit on zero-line crossover against position.
▪ Take Profit: Partial at ±60 for risk control.
▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions.
KEY ADVANTAGES
▪ Unified View: Weighted composite reduces noise and conflicts.
▪ Visual Clarity: 5-color system with gradients for rapid recognition.
▪ Market Context: Relative strength vs. SPY identifies leaders/laggards.
▪ Flexibility: Works across timeframes (1-min to weekly); customizable table.
▪ Noise Reduction: EMA smoothing minimizes false signals.
EXAMPLES
Strong Bull: Trend Score 71.9, Momentum Score 76.9
Neutral: Trend Score 0.1, Momentum Score -9.2
Strong Bear: Trend Score -51.7, Momentum Score -51.5
PERFORMANCE AND LIMITATIONS
Strengths: Trend identification, noise reduction, relative performance versus market.
Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets.
Recommendations: View on multiple timeframes, combine with price action and fundamentals.
RVol+ Enhanced Relative Volume Indicator📊 RVol+ Enhanced Relative Volume Indicator
Overview
RVol+ (Relative Volume Plus) is an advanced time-based relative volume indicator designed specifically for swing traders and breakout detection. Unlike simple volume comparisons, RVol+ analyzes volume at the same time of day across multiple sessions, providing statistically significant insights into institutional activity and breakout potential.
🎯 Key Features
Core Volume Analysis
Time-Based RVol Calculation - Compares current cumulative volume to the average volume at this exact time over the past N days
Statistical Z-Score - Measures volume in standard deviations from the mean for true anomaly detection
Volume Percentile - Shows where current volume ranks historically (0-100%)
Sustained Volume Filter - 3-bar moving average prevents false signals from single-bar spikes
Breakout Detection
🚀 Confirmed Breakouts - Identifies price breakouts validated by high volume (RVol > 1.5x)
⚠️ False Breakout Warnings - Alerts when price breaks key levels on low volume (high failure risk)
Multi-Timeframe Context - Weekly volume overlay prevents chasing daily noise
Advanced Metrics
OBV Divergence Detection - Spots bullish/bearish accumulation/distribution patterns
Volume Profile Integration - Identifies institutional positioning
Money Flow Analysis - Tracks smart money vs retail activity
Extreme Volume Alerts - 🔥 Labels mark unusual spikes beyond the display cap
Visual Intelligence
Smart Color Coding:
🟢 Bright Teal = High activity (RVol ≥ 1.5x)
🟡 Medium Teal = Caution zone (RVol ≥ 1.2x)
⚪ Light Teal = Normal activity
🟠 Orange = Breakout confirmed
🔴 Red = False breakout risk
Comprehensive Stats Table:
Current Volume (formatted as M/K/B)
RVol ratio
Z-Score with significance
Volume percentile
Historical average and standard deviation
Sustained volume confirmation
📈 How to Use
For Swing Trading (1D - 3W Holds)
Perfect Setup:
✓ RVol > 1.5x (bright teal)
✓ Z-Score > 2.0 (⚡ alert)
✓ Percentile > 90%
✓ Sustained = ✓
✓ 🚀 Breakout label appears
Avoid:
✗ Red "Low Vol" warning during breakouts
✗ RVol < 1.0 at key levels
✗ Sustained volume not confirmed
Signal Interpretation
⚡ Z>2 Labels - Statistically significant volume (95th+ percentile) - highest probability moves
↗️ OBV+ Labels - Bullish accumulation (OBV rising while price consolidates)
↘️ OBV- Labels - Bearish distribution (OBV falling while price rises)
🔵 Blue Background - Weekly volume elevated (confirms daily strength)
⚙️ Customization
Basic Settings
N Day Average - Number of historical days for comparison (default: 5)
RVol Thresholds - Customize highlight levels (default: 1.2x, 1.5x)
Visual Display Cap - Prevent extreme spikes from compressing view (default: 4.0x)
Advanced Metrics (Toggle On/Off)
Z-Score analysis
Weekly RVol context
OBV divergence detection
Volume percentile ranking
Breakout signal generation
Table Customization
Position - 9 placement options to avoid chart overlap
Size - Tiny to Huge
Colors - Full customization of positive/negative/neutral values
Transparency - Adjustable background
Debug Mode
Enable Pine Logs for calculation transparency
Adjustable log frequency
Real-time calculation breakdown
🔬 Technical Details
Algorithm:
Binary search for historical lookups (O(log n) performance)
Time-zone aware session detection
DST-safe timestamp calculations
Exponentially weighted standard deviation
Anti-repainting architecture
Performance:
Optimized for max_bars_back = 5000
Efficient array management
Built-in function optimization
Memory-conscious data structures
📊 What Makes RVol+ Different?
vs. Standard Volume:
Context-aware (time-of-day matters)
Statistical significance testing
False breakout filtering
vs. Basic RVol:
Z-Score normalization (2-3 sigma detection)
Multi-timeframe confirmation
OBV divergence integration
Sustained volume filtering
Smart visual scaling
vs. Professional Tools:
Free and open-source
Fully customizable
No black-box algorithms
Educational debug logs
💡 Best Practices
Wait for Confirmation - Don't enter on first bar; wait for sustained volume ✓
Combine with Price Action - RVol validates, price structure determines entry
Weekly Context Matters - Blue background = institutional interest
Z-Score is King - Focus on ⚡ alerts for highest probability
Avoid Low Volume Breakouts - Red ⚠️ labels = high failure risk
🎓 Trading Psychology
Volume precedes price. When RVol+ shows:
High RVol + Rising OBV = Accumulation before breakout
High RVol at Resistance = Test of conviction
Low RVol on Breakout = Retail-driven (fade candidate)
Z-Score > 3 = Potential "whale" positioning
📝 Credits
Based on the time-based RVol concept from /u/HurlTeaInTheSea, enhanced with:
Statistical analysis (z-scores, percentiles)
Multi-timeframe integration
OBV divergence detection
Professional-grade visualization
Swing trading optimization
🔧 Version History
v2.0 - Enhanced Edition
Added Z-Score analysis
Multi-timeframe volume context
OBV divergence detection
Breakout confirmation system
Smart color coding
Customizable stats table
Debug logging mode
Performance optimizations
📚 Learn More
For optimal use with swing trading:
Combine with support/resistance levels
Watch for volume clusters in consolidation
Use weekly timeframe for trend confirmation
Monitor OBV divergence for early warnings
⚠️ Disclaimer
This indicator is for educational purposes. Volume analysis is one component of trading decisions. Always use proper risk management, consider multiple timeframes, and validate signals with price structure. Past performance does not guarantee future results.
🚀 Getting Started
Add indicator to chart
Adjust "N Day Average" to your preference (5-10 days typical)
Position stats table to avoid overlap
Enable features you want to monitor
Watch for 🚀 breakout confirmations!
Happy Trading! 📈
Sector RSI (Auto-Select)This indicator measures the relative strength momentum of any stock against its most closely correlated sector ETF, using the Relative Strength Index (RSI).
Auto sector selection: The script computes correlations between your symbol’s short-term returns and all major SPDR sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY, XTN). The sector with the highest correlation is automatically chosen as the benchmark.
Sector vs Symbol RSI: It calculates RSI (default 14-period) for both the chosen sector and the current chart’s symbol.
Display modes:
Line mode: Plots both RSIs with colored fill (red if the sector RSI is stronger, green if the symbol RSI is stronger).
Histogram mode: Shows the difference between Sector RSI and Symbol RSI as a column chart.
RSI bands: Standard 70/50/30 reference lines are available in line mode.
Status line: The selected sector’s ticker is shown on the TradingView status line so you always know which sector is being used.
Use Cases:
Identify whether a stock’s momentum is driven by its sector or if it’s showing independent relative strength.
Detect sector rotations: when the stock begins to outperform or underperform its sector on momentum basis.
Combine with absolute RSI levels (overbought/oversold) to filter signals.
Notes:
This tool infers sector membership via rolling correlation, not from static classification metadata. This means in some cases (e.g. diversified companies or news shocks) the “best” sector may not be the official one, but the one most correlated in the current market regime.
Use min positive correlation input to filter out weak matches and enforce a fallback (defaults to Technology XLK).
AI Agent PRIMEFLOW v1AI Agent PRIMEFLOW v1 — Trend + Breakout + Smart Stops
*By AI Agent Community*
## Overview
PRIMEFLOW v1 is a clean, rules-based signal tool that fires only when **trend + regime + market structure** align.
It combines a **baseline trend**, a **volatility regime filter** (ATR z-score), and **Donchian breakouts**, with **ATR bands** and **Chandelier-style stops** for risk control. Optional **HTF confirmation** keeps entries in sync with higher-timeframe bias.
> Built from public trading concepts (EMA/KAMA/HMA baselines, Donchian breakout, ATR trailing). No proprietary code used.
---
## What it does (3-Layer Confirmation)
1. **Trend** – EMA50/200 relationship + user-selectable baseline (EMA/HMA/KAMA).
2. **Regime** – ATR% z-score filter reduces chop; “Conservative/Balanced/Aggressive” modes adjust threshold.
3. **Structure** – Donchian breakout confirms momentum beyond recent range.
Only when all three align do BUY/SELL labels appear. ATR bands and dynamic stops are plotted for exits and trailing.
---
## Signals & Risk
* **Long**: Trend up (EMA50>EMA200), regime trending, price crosses above baseline **and** breaks the prior Donchian high.
* **Short**: Mirror conditions to the downside.
* **Stops**: Auto-plotted **Long/Short Stop** (ATR-based, Chandelier-style).
* **Targets**: Consider 1.5–2× ATR or ATR bands; keep a runner with trailing stop.
---
## Inputs (key)
* **Signal Mode**: Conservative / Balanced / Aggressive (regime threshold).
* **Use Heikin Ashi Source** (optional smoothing).
* **Structure Lookback (Donchian)**.
* **Volatility Lookback** (for ATR z-score).
* **Baseline Type & Length**: EMA / HMA / KAMA.
* **Trend Filter EMAs**: Fast (default 50) vs Slow (default 200).
* **HTF Confirmation**: set a higher TF (blank = off).
* **ATR Length & Multiplier** (bands & stops).
* **Style toggles**: Bands, regime background, labels.
---
## Recommended Presets
**XAUUSD – M15 (scalping/intraday)**
* Mode: *Balanced* · Baseline: *EMA 50* · Donchian: *20* · ATR: *10 × 2.5* · HTF: *H1*.
**XAUUSD – H1 (intraday)**
* Baseline: *KAMA 50* · Donchian: *25* · ATR: *14 × 2.5* · HTF: *H4*.
**BTCUSDT – H1 (crypto)**
* Baseline: *EMA 100* · Donchian: *30* · ATR: *14 × 2.0* · HTF: *H4* · Mode: *Conservative* in chop.
---
## Alerts (ready)
Create alerts **Once Per Bar Close**:
* **PRIMEFLOW Long** – long entry condition met.
* **PRIMEFLOW Short** – short entry condition met.
* **Trail Flip (Long)** – long trailing stop flips (exit/trim).
* **Trail Flip (Short)** – short trailing stop flips.
Tip: Route alerts to your bot/Telegram/WA webhook. Include placeholders (e.g., `{{ticker}} | {{interval}} | {{close}} | LONG/SHORT | SL: {{plot("Long Stop")}}`).
---
## Best Practices
* Avoid taking breakouts that are **>1.5× ATR** away from baseline (overextended).
* Re-enter on pullbacks while trend & regime remain valid.
* Around high-impact news (NFP/FOMC), wait 15–30 minutes after release.
* Use **HTF 4×** your chart TF (e.g., M15→H1, H1→H4).
---
## Who it’s for
Swing/scalp traders who want higher-quality trend entries with **built-in structure confirmation** and **clear risk lines**, especially on **XAUUSD** and **BTC**.
---
## Notes
* This is an **indicator** (not a strategy). A strategy/backtest version can be provided.
* Educational purposes only. Not financial advice. Trading involves risk.
**Tags:** trend, breakout, ATR, Donchian, chandelier stop, regime filter, XAUUSD, BTC, scalping, intraday, multi-timeframe, heikin ashi
**Changelog**
v1.0 – Initial release: 3-Layer Confirmation, ATR bands/stops, HTF bias, 4 alerts.
HTF EMA Step Lines (21/50/200)HTF EMA Step Lines (21/50/200)
Clean higher-timeframe MA levels on any chart. Flat, repaint-safe step lines for D/W/M — with optional labels, table, background cues, and alerts.
What it does
HTF Overlay : Shows 21 / 50 / 200 MAs from a higher timeframe (default Daily) on any chart.
Step Line Style : Lines are flat within the HTF bar and only update when a new HTF bar begins.
Repaint Control :
• Prior (default): previous confirmed HTF bar → no intraday repaint.
• Live : current HTF bar → updates intraday.
Extras : optional value labels, compact live values table, background cues, and %-distance label.
Alerts : Cross-up/down events for each selected HTF line.
How it works
Pulls HTF series with request.security .
Prior mode : shifts values by for stability.
Detects new HTF bars using time .
Plots with plot.style_stepline so levels remain flat until the next HTF open.
Inputs
Higher Timeframe : D / W / M (or any valid TF).
MA Type : EMA, SMA, or WMA.
Show 21 / 50 / 200 : toggle each line.
Live vs Prior : choose Live (updates) or Prior (no repaint).
Labels : show value label at each new HTF bar.
Live Values Table : compact 2-column panel in top-right.
BG Alignment : optional background tint when price > 21 > 50 > 200 (bull) or price < 200 (bear).
% Distance : live label showing distance from HTF-21 in %.
Styling : color & width per line.
Tips
For intraday execution (e.g. 65-min), use Prior mode to avoid drift.
Set HTF = W or M to get weekly/monthly lines without leaving your chart.
A soft warning appears if chart TF ≥ HTF (lines still valid but less contextual).
Alerts
Cross up/down alerts for 21/50/200 (compatible with Any alert() function call ).
Add alerts from the chart: Add Alert → Condition → This script .
Notes
Built in Pine v5 — minimal, readable, fast.
Levels are context tools, not signals.
Colours are tuned for dark charts; adjust for WCAG contrast.
Daily EMA21 — Step LineIndicator: Daily EMA-21 Step Line
A lightweight tool that brings the Daily EMA-21 onto any timeframe chart as a clean, flat “step” line. It helps you see where price is in relation to a key higher-timeframe moving average, without cluttering your chart.
What It Does
Daily EMA Overlay: Fetches the Daily EMA-21 value and plots it on your chart, no matter what timeframe you’re viewing.
Step-Style Line: Drawn as a horizontal “step” line that only updates once per daily bar, keeping levels crisp and stable.
Repaint Control: Option to use the prior day’s EMA (stable, no intraday repaint) or today’s live-updating EMA.
Alerts: Optional alerts when price crosses above or below the Daily EMA-21.
How It Works
Daily Data Pull: Uses request.security to pull the Daily EMA-21 into any chart.
Flat Within Day: The value stays constant intraday and only “steps” at the next daily open.
Toggle Live/Prior: Choose between a repaint-free prior day close or an intraday-updating live EMA.
Configuration Settings
EMA Length: Default 21 (can be adjusted).
Live vs Prior: Toggle between today’s live EMA or yesterday’s confirmed EMA.
Line Color & Width: Fully customizable.
Alerts: Cross-up and cross-down alerts can be enabled via TradingView’s alert system.
Notes
Built in Pine v5 for reliability and compatibility.
Minimal by design — no tables, no clutter, just a higher-timeframe reference line.
Ideal for swing traders who want the Daily EMA-21 visible on intraday charts (e.g., 65m or 195m).
Not trade advice: this is a context tool to support your own strategy and risk management.
Regression Channel (ShareScope-style, parallel)What it does
Replicates ShareScope’s Trend of displayed data look: a single straight linear-regression line (dashed) across a chosen window with parallel, constant-width bands above and below, plus optional shading.
Use it to see the overall trend gradient for a period and a statistically sized channel based on the fit’s residual error.
How it works (math, short)
Computes an OLS regression once over the analysis window.
Residual standard error s is derived from SSE and degrees of freedom (n−2).
Band half-width is constant across the window:
Mean CI (narrower): half = z * s / √n
Prediction (wider): half = z * s * √(1 + 1/n)
Three straight, parallel lines are drawn from the regression endpoints; midline is dashed.
This is intentionally not a tapered CI (which widens at the ends). It matches the visual behaviour of ShareScope’s shaded trend line channel.
Inputs
Source – Price series (Close, High, Low, HL2, etc.).
Use last N bars / N (bars) – Rolling window length.
From / To (date mode) – Alternative fixed date window.
Confidence (%) – 90 / 95 / 99 / Custom (uses z≈t).
Custom Z (t) – Override the quantile if desired.
Prediction bands – Use wider prediction envelope instead of mean CI.
Shade region + colors / opacity / line width.
Usage
To mimic ShareScope exactly, pick the same date span (use date mode) and set Confidence 99%.
Choose Prediction OFF for a tighter “confidence” look; ON for a wider, more permissive channel.
If ShareScope used High as source, set Source = High here as well.
Notes & limitations
TradingView does not expose the visible viewport to Pine. The script cannot auto-read “displayed data.” Use last N bars or date range.
Bands are parallel by design. Prices may close outside; the channel does not bend.
Window capped at 5,000 bars for performance. No alerts are emitted.
Differences vs TV’s native tools
Linear Regression (drawing) – manual object; no statistical sizing or shading.
Linear Regression Channel (indicator) – uses price standard deviations around the regression; width is a user stdev multiple.
This script – uses residual error of the OLS fit and a z/t quantile to size a statistically meaningful parallel channel.
Changelog
r3.1 – Guard fix (no return at top level), minor refactor, stable line updates.
r3 – Switched to single-fit OLS with parallel constant-width bands (ShareScope look).
(Earlier experimental builds r1–r2.2 implemented rolling/tapered CI; superseded.)
Disclaimer: Educational use only. Not investment advice.
FlowMaster# 🔥 FlowMaster - The Ultimate Market Dominance Indicator
## **Master the Flow. Dominate the Market.**
**FlowMaster** is a revolutionary trading indicator that reveals who's really controlling the market - buyers or sellers. Using advanced Market Profile analysis and multi-timeframe volume dynamics, FlowMaster gives you the edge to trade with the dominant market force.
---
## 🎯 **Key Features**
### **📊 Advanced Market Profile Analysis**
- **Point of Control (POC)** identification for precise entry/exit levels
- **Value Area** calculation with customizable percentage (default 70%)
- **Multi-timeframe analysis** with intelligent auto-selection
- **Volume distribution mapping** across 20 price channels
### **⚡ Real-Time Dominance Detection**
- **Instant buyer/seller identification** with color-coded background
- **Dominance histogram** showing market strength in real-time
- **Volume imbalance analysis** revealing institutional activity
- **Price momentum integration** for trend confirmation
### **🎯 Smart Trading Signals**
- **Precision buy/sell alerts** with customizable sensitivity
- **Cross-over/cross-under detection** for optimal timing
- **False signal filtering** to reduce noise
- **Multi-factor confirmation** for higher accuracy
### **📋 Professional Dashboard**
- **Live market state display** (BUYERS/SELLERS/NEUTRAL)
- **Dominance score** with numerical precision
- **Price vs POC position** for context awareness
- **Volume imbalance percentage** for institutional insight
- **Active timeframe display** for multi-TF analysis
---
## 🚀 **Why FlowMaster?**
### **✅ Trade with Institutional Flow**
Stop guessing market direction. FlowMaster reveals when institutions are accumulating or distributing, giving you the same advantage as professional traders.
### **✅ Multi-Timeframe Precision**
Whether you're scalping 1-minute charts or swing trading daily timeframes, FlowMaster automatically adapts to provide the most relevant higher timeframe context.
### **✅ Visual Clarity**
No complex setups or confusing signals. FlowMaster uses intuitive color coding and clear visual cues that let you make instant trading decisions.
### **✅ Customizable for Your Style**
- **Adjustable sensitivity** (1-20 levels)
- **Custom color schemes** for personal preference
- **Toggle features** to focus on what matters to you
- **Flexible timeframe selection** or intelligent auto-mode
---
## 📈 **Perfect For:**
- **Day Traders** seeking precise entry/exit points
- **Swing Traders** identifying trend changes and continuations
- **Scalpers** needing instant market sentiment feedback
- **Volume Analysts** wanting professional-grade Market Profile tools
- **All Experience Levels** - from beginners to institutional traders
---
## 🎨 **Visual Elements**
- **🟢 Green Background**: Buyers in control
- **🔴 Red Background**: Sellers dominating
- **⚫ Gray Background**: Neutral/consolidation phase
- **📊 Dynamic Histogram**: Real-time dominance strength
- **🎯 Triangle Signals**: Precise buy/sell entry points
- **📊 Information Table**: Complete market overview at a glance
---
## ⚙️ **Technical Specifications**
- **Platform**: TradingView (Pine Script v5)
- **Markets**: Works on ALL instruments (Forex, Stocks, Crypto, Futures)
- **Timeframes**: From 1-minute to Monthly charts
- **Performance**: Optimized for fast execution
- **Alerts**: Built-in notification system for all signals
---
## 🎯 **Get Started in 3 Steps:**
1. **Add FlowMaster** to your TradingView chart
2. **Customize settings** to match your trading style
3. **Watch the magic happen** - start trading with institutional flow!
---
## 💡 **Pro Tip:**
*Use FlowMaster in combination with your favorite support/resistance levels for maximum effectiveness. When price approaches key levels AND FlowMaster shows dominance shift - that's your high-probability trade setup!*
---
**🔥 Transform your trading today. Master the flow with FlowMaster! 🔥**
*"Finally, an indicator that shows me exactly who's in control of the market. My win rate increased dramatically since using FlowMaster!"* - Professional Day Trader
Скрипт с защищённым кодом
Этот скрипт опубликован с закрытым исходным кодом. Однако вы можете использовать его свободно и без каких-либо ограничений — читайте подробнее здесь.
Smart-Day-Trader
t.me/smart_day_trader
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DCA vs One-ShotCompare a DCA strategy by choosing the payment frequency (daily, weekly, or monthly), and by choosing whether or not to pay on weekends for cryptocurrency. You can add fees and the reference price (opening, closing, etc.).
Debt Refinance Cycle + Liquidity vs BTC (Wk) — Overlay Part 1Debt Refi Cycle - Overlay script (BTC + Liquidity + DRCI/Z normalized to BTC range)
Trend Fib Zone Bounce (TFZB) [KedArc Quant]Description:
Trend Fib Zone Bounce (TFZB) trades with the latest confirmed Supply/Demand zone using a single, configurable Fib pullback (0.3/0.5/0.6). Trade only in the direction of the most recent zone and use a single, configurable fib level for pullback entries.
• Detects market structure via confirmed swing highs/lows using a rolling window.
• Draws Supply/Demand zones (bearish/bullish rectangles) from the latest MSS (CHOCH or BOS) event.
• Computes intra zone Fib guide rails and keeps them extended in real time.
• Triggers BUY only inside bullish zones and SELL only inside bearish zones when price touches the selected fib and closes back beyond it (bounce confirmation).
• Optional labels print BULL/BEAR + fib next to the triangle markers.
What it does
Finds structure using confirmed swing highs/lows (you choose the confirmation length).
Builds the latest zone (bullish = demand, bearish = supply) after a CHOCH/BOS event.
Draws intra-zone “guide rails” (Fib lines) and extends them live.
Signals only with the trend of that zone:
BUY inside a bullish zone when price tags the selected Fib and closes back above it.
SELL inside a bearish zone when price tags the selected Fib and closes back below it.
Optional labels print BULL/BEAR + Fib next to triangles for quick context
Why this is different
Most “zone + fib + signal” tools bolt together several indicators, or fire counter-trend signals because they don’t fully respect structure. TFZB is intentionally minimal:
Single bias source: the latest confirmed zone defines direction; nothing else overrides it.
Single entry rule: one Fib bounce (0.3/0.5/0.6 selectable) inside that zone—no counter-trend trades by design.
Clean visuals: you can show only the most recent zone, clamp overlap, and keep just the rails that matter.
Deterministic & transparent: every plot/label comes from the code you see—no external series or hidden smoothing
How it helps traders
Cuts decision noise: you always know the bias and the only entry that matters right now.
Forces discipline: if price isn’t inside the active zone, you don’t trade.
Adapts to volatility: pick 0.3 in strong trends, 0.5 as the default, 0.6 in chop.
Non-repainting zones: swings are confirmed after Structure Length bars, then used to build zones that extend forward (they don’t “teleport” later)
How it works (details)
*Structure confirmation
A swing high/low is only confirmed after Structure Length bars have elapsed; the dot is plotted back on the original bar using offset. Expect a confirmation delay of about Structure Length × timeframe.
*Zone creation
After a CHOCH/BOS (momentum shift / break of prior swing), TFZB draws the new Supply/Demand zone from the swing anchors and sets it active.
*Fib guide rails
Inside the active zone TFZB projects up to five Fib lines (defaults: 0.3 / 0.5 / 0.7) and extends them as time passes.
*Entry logic (with-trend only)
BUY: bar’s low ≤ fib and close > fib inside a bullish zone.
SELL: bar’s high ≥ fib and close < fib inside a bearish zone.
*Optionally restrict to one signal per zone to avoid over-trading.
(Optional) Aggressive confirm-bar entry
When do the swing dots print?
* The code confirms a swing only after `structureLen` bars have elapsed since that candidate high/low.
* On a 5-min chart with `structureLen = 10`, that’s about 50 minutes later.
* When the swing confirms, the script plots the dot back on the original bar (via `offset = -structureLen`). So you *see* the dot on the old bar, but it only appears on the chart once the confirming bar arrives.
> Practical takeaway: expect swing markers to appear roughly `structureLen × timeframe` later. Zones and signals are built from those confirmed swings.
Best timeframe for this Indicator
Use the timeframe that matches your holding period and the noise level of the instrument:
* Intraday :
* 5m or 15m are the sweet spots.
* Suggested `structureLen`:
* 5m: 10–14 (confirmation delay \~50–70 min)
* 15m: 8–10 (confirmation delay \~2–2.5 hours)
* Keep Entry Fib at 0.5 to start; try 0.3 in strong trends, 0.6 in chop.
* Tip: avoid the first 10–15 minutes after the open; let the initial volatility set the early structure.
* Swing/overnight:
* 1h or 4h.
* `structureLen`:
* 1h: 6–10 (6–10 hours confirmation)
* 4h: 5–8 (20–32 hours confirmation)
* 1m scalping: not recommended here—the confirmation lag relative to the noise makes zones less reliable.
Inputs (all groups)
Structure
• Show Swing Points (structureTog)
o Plots small dots on the bar where a swing point is confirmed (offset back by Structure Length).
• Structure Length (structureLen)
o Lookback used to confirm swing highs/lows and determine local structure. Higher = fewer, stronger swings; lower = more reactive.
Zones
• Show Last (zoneDispNum)
o Maximum number of zones kept on the chart when Display All Zones is off.
• Display All Zones (dispAll)
o If on, ignores Show Last and keeps all zones/levels.
• Zone Display (zoneFilter): Bullish Only / Bearish Only / Both
o Filters which zone types are drawn and eligible for signals.
• Clean Up Level Overlap (noOverlap)
o Prevents fib lines from overlapping when a new zone starts near the previous one (clamps line start/end times for readability).
Fib Levels
Each row controls whether a fib is drawn and how it looks:
• Toggle (f1Tog…f5Tog): Show/hide a given fib line.
• Level (f1Lvl…f5Lvl): Numeric ratio in . Defaults active: 0.3, 0.5, 0.7 (0 and 1 off by default).
• Line Style (f1Style…f5Style): Solid / Dashed / Dotted.
• Bull/Bear Colors (f#BullColor, f#BearColor): Per-fib color in bullish vs bearish zones.
Style
• Structure Color: Dot color for confirmed swing points.
• Bullish Zone Color / Bearish Zone Color: Rectangle fills (transparent by default).
Signals
• Entry Fib for Signals (entryFibSel): Choose 0.3, 0.5 (default), or 0.6 as the trigger line.
• Show Buy/Sell Signals (showSignals): Toggles triangle markers on/off.
• One Signal Per Zone (oneSignalPerZone): If on, suppresses additional entries within the same zone after the first trigger.
• Show Signal Text Labels (Bull/Bear + Fib) (showSignalLabels): Adds a small label next to each triangle showing zone bias and the fib used (e.g., BULL 0.5 or BEAR 0.3).
How TFZB decides signals
With trend only:
• BUY
1. Latest active zone is bullish.
2. Current bar’s close is inside the zone (between top and bottom).
3. The bar’s low ≤ selected fib and it closes > selected fib (bounce).
• SELL
1. Latest active zone is bearish.
2. Current bar’s close is inside the zone.
3. The bar’s high ≥ selected fib and it closes < selected fib.
Markers & labels
• BUY: triangle up below the bar; optional label “BULL 0.x” above it.
• SELL: triangle down above the bar; optional label “BEAR 0.x” below it.
Right-Panel Swing Log (Table)
What it is
A compact, auto-updating log of the most recent Swing High/Low events, printed in the top-right of the chart.
It helps you see when a pivot formed, when it was confirmed, and at what price—so you know the earliest bar a zone-based signal could have appeared.
Columns
Type – Swing High or Swing Low.
Date – Calendar date of the swing bar (follows the chart’s timezone).
Swing @ – Time of the original swing bar (where the dot is drawn).
Confirm @ – Time of the bar that confirmed that swing (≈ Structure Length × timeframe after the swing). This is also the earliest moment a new zone/entry can be considered.
Price – The swing price (high for SH, low for SL).
Why it’s useful
Clarity on repaint/confirmation: shows the natural delay between a swing forming and being usable—no guessing.
Planning & journaling: quick reference of today’s pivots and prices for notes/backtesting.
Scanning intraday: glance to see if you already have a confirmed zone (and therefore valid fib-bounce entries), or if you’re still waiting.
Context for signals: if a fib-bounce triangle appears before the time listed in Confirm @, it’s not a valid trade (you were too early).
Settings (Inputs → Logging)
Log swing times / Show table – turn the table on/off.
Rows to keep – how many recent entries to display.
Show labels on swing bar – optional tags on the chart (“Swing High 11:45”, “Confirm SH 14:15”) that match the table.
Recommended defaults
• Structure Length: 10–20 for intraday; 20–40 for swing.
• Entry Fib for Signals: 0.5 to start; try 0.3 in stronger trends and 0.6 in choppier markets.
• One Signal Per Zone: ON (prevents over trading).
• Zone Display: Both.
• Fib Lines: Keep 0.3/0.5/0.7 on; turn on 0 and 1 only if you need anchors.
Alerts
Two alert conditions are available:
• BUY signal – fires when a with trend bullish bounce at the selected fib occurs inside a bullish zone.
• SELL signal – fires when a with trend bearish bounce at the selected fib occurs inside a bearish zone.
Create alerts from the chart’s Alerts panel and select the desired condition. Use Once Per Bar Close to avoid intrabar flicker.
Notes & tips
• Swing dots are confirmed only after Structure Length bars, so they plot back in time; zones built from these confirmed swings do not repaint (though they extend as new bars form).
• If you don’t see a BUY where you expect one, check: (1) Is the active zone bullish? (2) Did the candle’s low actually pierce the selected fib and close above it? (3) Is One Signal Per Zone suppressing a second entry?
• You can hide visual clutter by reducing Show Last to 1–3 while keeping Display All Zones off.
Glossary
• CHOCH (Change of Character): A shift where price breaks beyond the last opposite swing while local momentum flips.
• BOS (Break of Structure): A cleaner break beyond the prior swing level in the current momentum direction.
• MSS: Either CHOCH or BOS – any event that spawns a new zone.
Extension ideas (optional)
• Add fib extensions (1.272 / 1.618) for target lines.
• Zone quality score using ATR normalization to filter weak impulses.
• HTF filter to only accept zones aligned with a higher timeframe trend.
⚠️ Disclaimer This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Shamji's Liquidity Sweep + FVG (Follow-up + Filters) Purpose (what it does)
This indicator looks for two related price structures used by many smart-money / liquidity-hunt traders:
Liquidity Sweeps — candles that wick beyond a recent swing high (for buy-side stop-hunts) or swing low (for sell-side stop-hunts), then close back inside. These are flagged as potential stop-hunt events that clear obvious liquidity.
Fair Value Gaps (FVGs) — simple 3-bar style gaps where an older bar’s high is below the current low (bullish FVG) or an older bar’s low is above the current high (bearish FVG). When an FVG appears after a sweep (within a configurable window), this is considered a follow-up alignment.
The script adds optional filters (volume spike and candle-range vs ATR) to increase confidence, and can restrict marking/alerts to only events that meet the follow-up and filter rules.
Trend Speed Analyzer + alerts//@version=6
indicator('Trend Speed Analyzer + alerts', overlay = false)
//~~}
// ~~ Tooltips {
string t1 = 'Maximum Length: This parameter sets the upper limit for the number of bars considered in the dynamic moving average. A higher value smooths out the trend line, making it less reactive to minor fluctuations but slower to adapt to sudden price movements. Use higher values for long-term trend analysis and lower values for faster-moving markets.'
string t2 = 'Accelerator Multiplier: Adjusts the responsiveness of the dynamic moving average to price changes. A larger value makes the trend more reactive but can introduce noise in choppy markets. Lower values create a smoother trend but may lag behind rapid price movements. This is particularly useful in volatile markets where precise sensitivity is needed.'
string t5 = 'Enable Candles: When enabled, the candlesticks on the chart will be color-coded based on the calculated trend speed. This provides a visual representation of momentum, making it easier to spot shifts in market dynamics. Disable this if you prefer the standard candlestick colors.'
string t6 = 'Collection Period: Defines the number of bars used to normalize trend speed values. A higher value includes a broader historical range, smoothing out the speed calculation. Lower values make the speed analysis more sensitive to recent price changes, ideal for short-term trading.'
string t7 = 'Enable Table: Activates a statistical table that provides an overview of key metrics, such as average wave height, maximum wave height, dominance, and wave ratios. Useful for traders who want numerical insights to complement visual trend analysis.'
string t8 = 'Lookback Period: Determines how many historical bars are used for calculating bullish and bearish wave data. A longer lookback period provides a more comprehensive view of market trends but may dilute sensitivity to recent market conditions. Shorter periods focus on recent data.'
string t9 = 'Start Date: Sets the starting point for all calculations. This allows you to analyze data only from a specific date onward, which is useful for isolating trends within a certain period or avoiding historical noise.'
string t10 = 'Timer Option: Select between using a custom start date or starting from the first available bar on the chart. The \'Custom\' option works with the Start Date setting, while \'From start\' includes all available data.'
// Tooltips for Table Cells
string tt1 = 'Average Wave: Shows the average size of bullish or bearish waves during the lookback period. Use this to assess overall market strength. Larger values indicate stronger trends, and comparing bullish vs bearish averages can reveal market bias. For instance, a higher bullish average suggests a stronger uptrend.'
string tt2 = 'Max Wave: Displays the largest bullish or bearish wave during the lookback period. Use this to identify peak market momentum. A significantly higher bullish or bearish max wave indicates where the market may have shown extreme trend strength in that direction.'
string tt3 = 'Current Wave Ratio (Average): Compares the current wave\'s size to the average wave size for both bullish and bearish trends. A value above 1 indicates the current wave is stronger than the historical average, which may signal increased market momentum. Use this to evaluate if the current move is significant compared to past trends.'
string tt4 = 'Current Wave Ratio (Max): Compares the current wave\'s size to the maximum wave size for both bullish and bearish trends. A value above 1 suggests the current wave is setting new highs in strength, which could indicate a breakout or strong momentum in the trend direction.'
string tt5 = 'Dominance (Average): The net difference between the average bullish and bearish wave sizes. Positive values suggest bullish dominance over time, while negative values indicate bearish dominance. Use this to determine which side (bulls or bears) has had consistent control of the market over the lookback period.'
string tt6 = 'Dominance (Max): The net difference between the largest bullish and bearish wave sizes. Positive values suggest bulls have dominated with stronger individual waves, while negative values indicate bears have produced stronger waves. Use this to gauge the most significant power shifts in the market.'
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
max_length = input.int(50, minval = 1, title = 'Maximum Length', group = 'Dynamic Moving Average', tooltip = t1)
accel_multiplier = input.float(5.0, minval = 0.0, step = 1.1, title = 'Accelerator Multiplier', group = 'Dynamic Moving Average', tooltip = t2)
tbl_ = input.bool(true, title = 'Enable Table', group = 'Wave Analysis', tooltip = t7)
lookback_period = input.int(100, minval = 1, step = 1, title = 'Lookback Period', group = 'Wave Analysis', tooltip = t8)
candle = input.bool(true, title = 'Enable Candles', group = 'Trend Visualization', tooltip = t5)
collen = input.int(100, step = 10, minval = 5, title = 'Collection Period', group = 'Trend Visualization', tooltip = t6)
up_col = input.color(color.lime, title = 'Dynamic Trend', group = 'Trend Visualization', inline = 'Trend')
dn_col = input.color(color.red, title = '', group = 'Trend Visualization', inline = 'Trend')
up_hist_col = input.color(#82ffc3, title = 'Trend Speed Up', group = 'Trend Visualization', inline = 'up')
up_hist_col_ = input.color(color.lime, title = '', group = 'Trend Visualization', inline = 'up')
dn_hist_col = input.color(color.red, title = 'Trend Speed Dn', group = 'Trend Visualization', inline = 'dn')
dn_hist_col_ = input.color(#f78c8c, title = '', group = 'Trend Visualization', inline = 'dn')
start = input.time(timestamp('1 Jan 2020 00:00 +0000'), title = 'Start Date', group = 'Time Settings', tooltip = t9, inline = 'startdate')
timer = input.string('From start', title = 'Timer Option', options = , group = 'Time Settings', tooltip = t10, inline = 'startdate')
// ~~ Dynamic Average {
counts_diff = close
max_abs_counts_diff = ta.highest(math.abs(counts_diff), 200)
counts_diff_norm = (counts_diff + max_abs_counts_diff) / (2 * max_abs_counts_diff)
dyn_length = 5 + counts_diff_norm * (max_length - 5)
// ~~ Function to compute the accelerator factor with normalization of delta_counts_diff {
calc_accel_factor(float counts_diff, float prev_counts_diff) =>
delta_counts_diff = math.abs(counts_diff - prev_counts_diff)
float max_delta_counts_diff = ta.highest(delta_counts_diff, 200)
max_delta_counts_diff := max_delta_counts_diff == 0 ? 1 : max_delta_counts_diff
float accel_factor = delta_counts_diff / max_delta_counts_diff
accel_factor
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Function to adjust alpha using the accelerator factor {
adjust_alpha(float dyn_length, float accel_factor, float accel_multiplier) =>
alpha_base = 2 / (dyn_length + 1)
alpha = alpha_base * (1 + accel_factor * accel_multiplier)
alpha := math.min(1, alpha)
alpha
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Accelerator Factor
accel_factor = calc_accel_factor(counts_diff, nz(counts_diff ))
alpha = adjust_alpha(dyn_length, accel_factor, accel_multiplier)
// ~~ Compute dynamic Ema
var float dyn_ema = na
dyn_ema := na(dyn_ema ) ? close : alpha * close + (1 - alpha) * dyn_ema
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Trend Speed {
trend = dyn_ema
bullsrc = close
bearsrc = close
type TrendData
array change
array t
StartTime() =>
time > start
var bullish = TrendData.new(array.new(), array.new())
var bearish = TrendData.new(array.new(), array.new())
var x1 = int(na)
var y1 = float(na)
var pos = 0
var speed = 0.0
c = ta.rma(close, 10)
o = ta.rma(open, 10)
// ~~ First value {
if na(x1) and StartTime() or na(x1) and timer == 'From start'
x1 := bar_index
y1 := o
y1
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Trend direction {
if StartTime() or timer == 'From start'
if bullsrc > trend and bullsrc <= trend
bearish.change.unshift(ta.lowest(speed, bar_index - x1))
bearish.t.unshift(bar_index - x1)
x1 := bar_index
y1 := bullsrc
pos := 1
speed := c - o
speed
if bearsrc < trend and bearsrc >= trend
bullish.change.unshift(ta.highest(speed, bar_index - x1))
bullish.t.unshift(bar_index - x1)
x1 := bar_index
y1 := bearsrc
pos := -1
speed := c - o
speed
speed := speed + c - o
speedGradient = color.from_gradient(speed, ta.min(-speed / 3), ta.max(speed / 3), color.red, color.lime)
trendspeed = ta.hma(speed, 5)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Plots {
rma_dyn_ema(x, p) =>
average = ta.rma(dyn_ema , p)
average
colour = ta.wma(close, 2) > dyn_ema ? up_col : dn_col
fillColor = rma_dyn_ema(0, 5) > rma_dyn_ema(1, 5) ? color.new(up_col, 70) : color.new(dn_col, 70)
p1 = plot(dyn_ema, color = colour, linewidth = 2, title = 'Dynamic Trend', force_overlay = true)
p2 = plot(ta.rma(hl2, 50), display = display.none, editable = false, force_overlay = true)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
min_speed = ta.lowest(speed, collen)
max_speed = ta.highest(speed, collen)
normalized_speed = (speed - min_speed) / (max_speed - min_speed)
speedGradient1 = speed < 0 ? color.from_gradient(normalized_speed, 0.0, 0.5, dn_hist_col, dn_hist_col_) : color.from_gradient(normalized_speed, 0.5, 1.0, up_hist_col, up_hist_col_)
plot(StartTime() or timer == 'From start' ? trendspeed : na, title = 'Trend Speed', color = speedGradient1, style = plot.style_columns)
plotcandle(open, high, low, close, color = candle ? speedGradient1 : na, wickcolor = candle ? speedGradient1 : na, bordercolor = candle ? speedGradient1 : na, force_overlay = true)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Table {
if barstate.islast and tbl_
bullish_recent = bullish.change.slice(0, math.min(lookback_period, bullish.change.size()))
bearish_recent = bearish.change.slice(0, math.min(lookback_period, bearish.change.size()))
bull_max = bullish_recent.max()
bear_max = bearish_recent.min()
bull_avg = bullish_recent.avg()
bear_avg = bearish_recent.avg()
wave_size_ratio_avg = bull_avg / math.abs(bear_avg)
wave_size_text_avg = str.tostring(math.round(wave_size_ratio_avg, 2)) + 'x'
wave_size_color_avg = wave_size_ratio_avg > 0 ? color.lime : color.red
wave_size_ratio_max = bull_max / math.abs(bear_max)
wave_size_text_max = str.tostring(math.round(wave_size_ratio_max, 2)) + 'x'
wave_size_color_max = wave_size_ratio_max > 0 ? color.lime : color.red
dominance_avg_value = bull_avg - math.abs(bear_avg)
dominance_avg_text = dominance_avg_value > 0 ? 'Bullish +' + str.tostring(math.round(wave_size_ratio_avg, 2)) + 'x' : 'Bearish -' + str.tostring(math.round(1 / wave_size_ratio_avg, 2)) + 'x'
dominance_avg_color = dominance_avg_value > 0 ? color.lime : color.red
dominance_max_value = bull_max - math.abs(bear_max)
dominance_max_text = dominance_max_value > 0 ? 'Bullish +' + str.tostring(math.round(wave_size_ratio_max, 2)) + 'x' : 'Bearish -' + str.tostring(math.round(1 / wave_size_ratio_max, 2)) + 'x'
dominance_max_color = dominance_max_value > 0 ? color.lime : color.red
current_wave = speed
current_wave_color = current_wave > 0 ? color.lime : color.red
current_ratio_avg = current_wave > 0 ? current_wave / bull_avg : current_wave / math.abs(bear_avg)
current_ratio_max = current_wave > 0 ? current_wave / bull_max : current_wave / math.abs(bear_max)
current_text_avg = str.tostring(math.round(current_ratio_avg, 2)) + 'x'
current_text_max = str.tostring(math.round(current_ratio_max, 2)) + 'x'
current_color_avg = current_ratio_avg > 0 ? color.lime : color.red
current_color_max = current_ratio_max > 0 ? color.lime : color.red
var tbl = table.new(position.top_right, 3, 3, force_overlay = true)
table.cell(tbl, 0, 0, '', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 0, 1, 'Average Wave', text_color = chart.fg_color, tooltip = tt1)
table.cell(tbl, 0, 2, 'Max Wave', text_color = chart.fg_color, tooltip = tt2)
table.cell(tbl, 1, 0, 'Current Wave Ratio', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 1, 1, current_text_avg, text_color = current_color_avg, tooltip = tt3)
table.cell(tbl, 1, 2, current_text_max, text_color = current_color_max, tooltip = tt4)
table.cell(tbl, 2, 0, 'Dominance', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 2, 1, dominance_avg_text, text_color = dominance_avg_color, tooltip = tt5)
table.cell(tbl, 2, 2, dominance_max_text, text_color = dominance_max_color, tooltip = tt6)
// ─────────────────────────────────────────────────────────────
// MTF BUY/SELL alerts: 10m & 1H agreement (no logic changes)
isGreen = ta.wma(close, 2) > dyn_ema
tf_fast = input.timeframe("10", "Fast TF (Buy/Sell check)", group = "MTF Alerts")
tf_slow = input.timeframe("60", "Slow TF (Buy/Sell check)", group = "MTF Alerts")
confirm_on_close = input.bool(true, "Confirm on bar close", group = "MTF Alerts")
green_fast = request.security(syminfo.tickerid, tf_fast, isGreen, lookahead = barmerge.lookahead_off)
green_slow = request.security(syminfo.tickerid, tf_slow, isGreen, lookahead = barmerge.lookahead_off)
buyCond = green_fast and green_slow
sellCond = not green_fast and not green_slow
triggerOK = confirm_on_close ? barstate.isconfirmed : true
// Single BUY / SELL alerts (messages unchanged)
alertcondition(buyCond and triggerOK, title = "MTF BUY (10m & 1H GREEN)", message = "{{ticker}} | TF={{interval}} | Dynamic line")
alertcondition(sellCond and triggerOK, title = "MTF SELL (10m & 1H RED)", message = "{{ticker}} | TF={{interval}} | Dynamic line")
// ─────────────────────────────────────────────────────────────
// NEW: 10m status repeated EVERY MINUTE (no logic changes)
// ─────────────────────────────────────────────────────────────
// 1-minute pulse: true once per closed 1m bar
m1_pulse = request.security(syminfo.tickerid, "1", barstate.isconfirmed, lookahead = barmerge.lookahead_off)
// Repeat ONLY the 10-minute status every minute
status10_green = green_fast
status10_red = not green_fast
alertcondition(status10_green and m1_pulse, title = "10m Status GREEN — repeat each minute", message = "{{ticker}} | TF=10 | Dynamic line — GREEN")
alertcondition(status10_red and m1_pulse, title = "10m Status RED — repeat each minute", message = "{{ticker}} | TF=10 | Dynamic line — RED")
how do the trend speed anlaysis work
GCK CRT MODEL Purpose
Multi-timeframe execution toolkit that overlays HTF candle structure on any lower timeframe and automatically marks CRT (Counter-Reaction Tag) only when a lower-timeframe CISD occurs. It draws a short line from the exact liquidity wick/body to the break/rejection bar—never a long extended line. Includes bold C2 / C3 / C4 labels for clarity.
What it shows
HTF candles (bodies, wicks, start lines, timer, labels) on your LTF chart
CISD → CRT: prints only when an LTF CISD triggers; line is anchored to the liquidity candle and ends at the break bar
Midpoint (log-based) lines, sweep markers, FVG & VI zones (optional)
T-Spot & Silver T-Spot logic (bias-aware), with confirmation and optional projections
Compact info table (current TF → HTF model, time remaining, bias)
Optional position sizing readout for the most recent confirmed sweep
Key options
HTF Mode: Auto or Custom (e.g., 1D, 1W)
Use Body for Confirmation: choose body extremes vs wick for CISD/CRT anchoring
Show Only Latest: keep the most recent T-Spot/CRT clean on chart
Projections & CISD lines: on/off + levels
Label Size: C2/C3/C4 printed larger by default for visibility
How to use
Add to your lower timeframe chart.
Pick HTF (Auto is fine).
Choose whether CRT/CISD checks use wick or body (toggle).
(Optional) Enable projections/alerts/position sizing.
Notes
CRT only prints inside the current HTF phase when an LTF CISD happens.
Lines are intentionally short (liquidity candle → rejection bar).
For education/analysis only. Not financial advice.
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps —
License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike).
This script is a non-commercial derivative work that credits the original author and keeps the same license.
What this strategy does
This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger.
Additions vs. the original indicator
✅ Strategy entries based on % mitigation into FVGs (long/short).
✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0.
✅ Per-FVG total volume filter (min/max) so you can skip weak boxes.
✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes.
✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG).
✅ Optional candle confirmation and cooldown between trades.
✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached).
✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN.
How a trade is decided (logic overview)
Detect FVGs (same rules as the original visual logic).
For each FVG currently intersected by the bar, compute:
Mitigation % (how deep price has entered the box).
Bull%/Bear% split (internal volume share).
Total volume (printed on the box) from LTF aggregation or fallback.
Age (bars) since the box was created.
Apply your filters:
Mitigation ≥ Long/Short threshold.
Volume between your min and max (if enabled).
Age ≥ min bars (if enabled).
Bull% / Bear% within your limits (if enabled).
(Optional) the current candle must be in trade direction (confirm).
If multiple FVGs qualify on the same bar, the strategy uses the most recent one.
Enter long/short (no pyramiding).
Exit with:
Fixed Stop Loss %, and
Trailing Stop that only starts after price reaches your profit trigger %.
Input settings (quick guide)
Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter.
Mitigation % thresholds: minimal mitigation for Long and Short.
TOTAL Volume filter: skip FVGs with too little/too much total volume (per box).
Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max).
Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes.
Confirm candle: require candle direction to match the trade.
Cooldown (bars): minimum bars between entries.
Risk:
Stop Loss % (fixed from entry price).
Activate trailing at +% profit (the trigger).
Trailing distance % (the trailing gap once active).
Lower-TF aggregation:
Auto: TF/Divisor → picks 1/3/5m automatically.
Fixed: choose 1/3/5/15m explicitly.
If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L.
Suggested starting presets (you should optimize per market)
Mitigation: 60–80% for both Long/Short.
Bull/Bear share:
Long: Bull% ≥ 50–70, Bear% ≤ 100.
Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer.
Age: ≥ 20–30 bars.
Volume: pick a min that filters noise for your symbol/timeframe.
Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example).
Set slippage/fees in Strategy Properties.
Notes, limitations & best practices
Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic).
Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects.
No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling.
Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly.
Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice.
Credits
Visual FVG concept and original implementation: BigBeluga.
This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit.
License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Iron Condor Pro v6 – Full EngineIronCondor Engine v6.6 is a multi-mode options strategy tool for planning and managing iron condors, straddles, strangles, and butterflies. It supports both setup planning and live trade tracking with modeled delta, risk-based strike selection, IV rank estimation, and visual breach alerts.
Use Setup Mode to preview strike structures based on IV proxy, ATR, delta targeting, and risk tier (High/Mid/Low/Delta). Use Live Mode to track real trades, enter strike/premium data, and monitor live P&L, delta drift, and range status.
This script does not connect to live option chains. Volatility and delta are modeled using price history. All strikes and premiums must be confirmed using your broker before placing trades. Best used with strong support/resistance levels and high IV rank (30%+).
For educational purposes only.
Workflow Guide
Use this flow whether you're setting up on Sunday night or any day before placing a trade.
Step 0: Pre-Script Preparation
Before using the script:
Identify major support and resistance zones on your chart. Define the expected range or consolidation area. Use this context to help evaluate strike placement
1. Setup Phase (Pre-Trade Planning)
Step 1 – Load the Script
Add: IronCondor Engine v6.6 – Full Risk/Decay Edition to your chart
Step 2 – Set Mode = Setup
This enables planning mode, where the engine calculates strike combinations based on:
Your selected risk profile (High, Mid, Low, or Delta)
Historical volatility (20-day log return)
ATR (Average True Range)
Target short delta (adjustable)
Step 3 – Review Setup Table
Enable Show Setup Table to view calculated strikes and width by risk tier.
Adjust any of the following as needed:
Target Short Delta
Strike Interval ($)
Width multipliers (High/Mid/Low)
Risk tier under Auto-Feed Choice
Step 4 – Evaluate the Setup
Is the net credit at least 1.5–2.0x your max risk?
Are the short strikes clearly outside support/resistance zones?
Are the short deltas between 0.15 and 0.30?
Is the range wide enough to handle normal price movement?
Step 5 – Prep for Execution
Enable Auto-Feed Setup → Live to carry Setup strikes into Live mode
Or disable it if you prefer to manually enter strikes later
2. Trade Execution (Live Tracking Mode)
Step 1 – Place the Trade with Your Broker
Use your brokerage (TOS, Tasty, IBKR, etc.) to place the iron condor or other structure
Step 2 – Set Mode = Live
In Live mode:
If Auto-Feed is ON, the Setup strikes auto-populate
If Auto-Feed is OFF, manually enter:
Short and long strikes (Call and Put)
Premiums collected/paid per leg
Total net credit (Entry Credit)
Optional: Input current mid prices for each leg in the "Live Chain" section to track live mark-to-market P&L
Once all required fields are valid, the script activates:
Real-time profit/loss tracking
Max risk estimate
Delta monitoring on short legs
IV Rank estimate
Breach detection system
Chart visuals (if enabled)
3. Trade Management (During the Week)
While the trade is active, use the dashboard and visuals to monitor:
Key Metrics:
Unrealized P/L %
Mark-to-market value vs entry credit
Daily decay (theta)
Days until expiration
Breach status:
In Range
Near Breach
Breached
Alerts:
Price near short strike → suggests roll
Price breaches long strike → breach alert
50% or 75% profit → optional exit signal
Delta exceeds threshold → exposure may need adjustment
Management Tips:
At 50–75% profit: consider closing early
If price nears a short leg: roll, hedge, or manage
If nearing expiry: decide whether to hold or close
If IV collapses: may accelerate time decay or reduce exit value
4. End-of-Week or Expiration Management
If Profit Target Hit
Close early to reduce risk and lock gains
If Still Open Near Expiry
Close the position or
Hold through expiration only if you're fully prepared for pinning/gamma/assignment scenarios
Avoid holding open spreads over the weekend unless part of a defined strategy
Reference Notes
Strike Width
Defined as:
Width = Distance between Short and Long strike
Used for calculating max loss and breach visuals
Delta Guidelines
0.15–0.20 = safer, wider range, lower credit
0.25–0.30 = more aggressive, tighter range, higher credit
Use Target Short Delta input to adjust auto-selected strikes accordingly
Credit Example
Sell Call: $1.04
Sell Put: $0.23
Buy Call + Put wings: $0.14
Net Credit = $1.13 = $113 per contract (max profit)
This is the max profit if price stays between short strikes through expiration
IV Rank (Estimated)
This script does not use options chain IV data.
Instead, it calculates a volatility proxy:
ivRaw = ta.stdev(log returns, 20) * sqrt(252)
IV Rank is then calculated as the percentile of this value within the last 252 bars.
High IV Rank (30%–100%) → better premium-selling conditions
Low IV Rank (<30%) → lower edge for condors
Ideal to sell premium when IV Rank is above 30–50%
Disclosures and Limitations
This script is for educational use only
It does not connect to live option chains
All strikes, deltas, and premiums must be validated through your broker
Always confirm real-time IV, delta, and pricing before placing a trade
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
CCI vs Two EMAs + Trendlines + Breakout HighlightPerfect indicator which analyzes the cci4000 & 2 EMAS.
MA Pack + Cross Signals (Short vs Long)Overview
A flexible moving average pack that lets you switch between short-term trend detection and long-term trend confirmation .
Short-term mode: plots 5, 10, 20, and 50 MAs with early crossovers (10/50, 20/50).
Long-term mode: plots 50, 100, 200 MAs with Golden Cross and Death Cross signals.
Choice of SMA or EMA .
Alerts included for all crossovers.
Why Use It
Catch early trend shifts in short-term mode.
Confirm institutional trend levels in long-term mode.
Visual signals (triangles + labels) make spotting setups easy.
Alert-ready for automated trade monitoring.
Usage
Add to chart.
In settings, choose Short-term or Long-term .
Watch for markers:
Green triangles = bullish cross
Red triangles = bearish cross
Green label = Golden Cross
Red label = Death Cross
Optional: enable alerts for notifications.
TEWMA - [JTCAPITAL]TEWMA - is a modified way to use Triple Exponential Moving Average (TEMA) combined with Weighted Moving Average (WMA) and adaptive multi-length averaging for Trend-Following.
The indicator blends short- and extended-length smoothed signals into a single adaptive line, then assigns directional bias to highlight bullish or bearish phases more clearly.
The indicator works by calculating in the following steps:
Source Selection
The script begins with a selectable price source (default: Close, but can be changed to Open, High, Low, HL2, etc.). This ensures flexibility depending on the user’s preferred market perspective.
Dual-Length Calculation
A base length ( len ) is chosen, and then multiplied by a factor ( multi , default 1.75). This produces a secondary, longer period ( len2 ) that adapts proportionally to the base.
Weighted + Triple Exponential Smoothing
-First, a WMA (Weighted Moving Average) is applied to the price source.
-Then, the TEMA (Triple Exponential Moving Average) is applied to smooth the WMA even further.
-This process is repeated for both len and len2 , producing TEWMA1 and TEWMA2 .
Adaptive Averaging
The final TEWMA line is calculated as the average of TEWMA1 and TEWMA2, creating a blend between the short-term and extended-term signals. This balances reactivity and stability, reducing lag while avoiding excessive noise.
Trend Direction Detection
-If TEWMA is greater than its previous value → Bullish .
-If TEWMA is lower than its previous value → Bearish .
-A Signal variable is used to store this directional bias, ensuring continuity between bars.
Visual Plotting
-The main TEWMA is plotted with bold coloring (Blue for bullish, Purple for bearish).
-TEWMA1 and TEWMA2 are plotted as thinner supporting lines.
-Each line is given a shadow-fill (between 100% and 90% of its value) for emphasis and visual clarity.
Alerts
Custom alerts are defined:
- TEWMA Long → when bullish.
- TEWMA Short → when bearish.
-These alerts can be integrated into TradingView’s alerting system for automated notifications.
Buy and Sell Conditions :
- Buy : Triggered when TEWMA rises (bullish slope). The indicator colors the line blue and an alert can be fired.
- Sell : Triggered when TEWMA declines (bearish slope). The line turns purple, signaling potential short or exit points.
Features and Parameters :
- Source → Selectable price input (Close, Open, HL2, etc.).
- Length (len) → Base period for the WMA/TEMA calculation.
- Multiplier (multi) → Scales the secondary length to create a longer-term smoothing.
- Color-coded Trend Lines → Blue for bullish, Purple for bearish.
- Shadow Fill Effects → Provides depth and easier visualization of trend direction.
- Alert Conditions → Prebuilt alerts for both Long and Short scenarios.
Specifications :
Weighted Moving Average (WMA)
The WMA assigns more weight to recent price values, making it more responsive than a Simple Moving Average (SMA). This enhances early detection of market turns while reducing lag compared to longer-term averages.
Triple Exponential Moving Average (TEMA)
TEMA is designed to minimize lag by combining multiple EMA layers (EMA of EMA of EMA). It is smoother and more adaptive than traditional EMAs, making it ideal for detecting true market direction without overreacting to small fluctuations.
Multi-Length Averaging
By calculating two versions of WMA → TEMA with different lengths and then averaging them, the indicator balances responsiveness (short-term sensitivity) and reliability (long-term confirmation). This prevents whipsawing while keeping signals timely.
Adaptive Signal Assignment
Instead of simply flipping signals at crossovers, the indicator checks slope direction of TEWMA. This ensures smoother trend-following behavior, reducing false positives in sideways conditions.
Color-Coding & Visual Shading
Visual clarity is achieved by coloring bullish periods differently from bearish ones, with shaded fills beneath each line. This allows traders to instantly identify trend conditions and compare short- vs long-term signals.
Alert Conditions
Trading decisions can be automated by attaching alerts to the TEWMA’s bullish and bearish states. This makes it practical for active trading, swing setups, or algorithmic strategies.
Enjoy!
Yasser Buy/Sell Signal Indicator 001Coded by: Yasser Mahmoud (YWMAAAWORLD):
For any assistance contact me at: yarm.global@gmail.com
# 🚀 **EMA Trend & Signal Indicator - The Ultimate Anti-Chop Trading System**
## **Finally! An Indicator That Eliminates False Signals and Maximizes Trending Profits**
Are you tired of getting whipsawed in choppy markets? Frustrated by indicators that give you 10 signals when you need just 1 good one? **This changes everything.**
---
## 🎯 **What Makes This Indicator Revolutionary?**
### **🔥 INNOVATIVE 7-FILTER CONFIRMATION SYSTEM**
This isn't just another EMA crossover indicator. It's a **complete trading system** that combines:
✅ **Multi-EMA Trend Analysis** (8, 13, 21, 50, 200 EMAs)
✅ **Volume Surge Detection** (1.5x average volume confirmation)
✅ **RSI Momentum Filter** (Avoids overbought/oversold traps)
✅ **EMA Slope Confirmation** (All short-term EMAs must align)
✅ **Advanced Anti-Chop Technology** (Patent-pending 5-filter system)
### **🚫 REVOLUTIONARY ANTI-CHOP FILTERS**
**The game-changer that separates amateurs from professionals:**
1. **Trend Strength Analyzer** - Measures EMA separation strength
2. **EMA Bunching Detector** - Prevents signals when EMAs are too close
3. **Market Structure Scanner** - Identifies genuine trending vs ranging markets
4. **Enhanced Volatility Filter** - Waits for sufficient market movement
5. **Smart Chop Detection** - Multi-timeframe chopiness analysis
**Result: 3 out of 5 filters must pass = Only HIGH-PROBABILITY setups trigger signals!**
---
## 📈 **TRADING RULES - COPY & PASTE STRATEGY**
### **🟢 BUY SIGNALS (Long Entry)**
**When ALL conditions align:**
- Price above 50 EMA **AND** 50 EMA above 200 EMA (Uptrend confirmed)
- 8 EMA > 13 EMA > 21 EMA (Perfect alignment)
- Volume > 1.5x average (Institutional participation)
- RSI between 50-70 (Bullish momentum, not overbought)
- All EMA slopes positive (True trending, not fake breakout)
- Anti-Chop Score ≥ 3/5 (Market conditions suitable)
**📍 Entry:** When green "BUY" label appears
**🛡️ Stop Loss:** Below nearest swing low or 50 EMA
**🎯 Take Profit:** 2:1 or 3:1 risk/reward ratio
### **🔴 EXIT BUY SIGNALS (Risk Management)**
**Automatic protection when:**
- EMAs lose perfect alignment (8>13>21 breaks)
- Trend remains intact but short-term weakness detected
**📍 Action:** Exit position when "EXIT BUY" appears
**💡 Strategy:** Wait for "BUY" signal to re-enter if trend continues
### **🟥 SELL SIGNALS (Short Entry)**
**Mirror logic for downtrends:**
- Price below 50 EMA **AND** 50 EMA below 200 EMA
- 8 EMA < 13 EMA < 21 EMA (Perfect bearish alignment)
- Same volume, RSI, and anti-chop confirmations
### **🔸 EXIT SELL SIGNALS**
**Smart exit when bearish alignment breaks**
---
## 💰 **PROFIT-MAXIMIZING FEATURES**
### **📊 REAL-TIME STATUS DASHBOARD**
Never guess market conditions again! Live display shows:
- Current trend direction
- Signal state (BUY/SELL/EXIT/NONE)
- EMA alignment status
- Volume surge detection
- RSI level with color coding
- Anti-chop score (X/5)
- **Signal quality assessment**
### **🎨 CLEAN VISUAL SYSTEM**
- **Large, clear text labels** (no tiny arrows to miss)
- **Color-coded status panel** (optimized for white backgrounds)
- **Only long-term EMAs visible** (reduces chart clutter)
- **Smart sizing** (signals visible but not overwhelming)
### **🔔 BUILT-IN ALERTS**
Set and forget! Get notified instantly when:
- New BUY/SELL signals trigger
- EXIT signals protect your profits
- All confirmations align for high-probability setups
---
## 🏆 **WHY TRADERS CHOOSE THIS OVER EVERYTHING ELSE**
### ❌ **OTHER INDICATORS:**
- Give signals in every market condition
- Generate 50+ signals per day (analysis paralysis)
- No differentiation between high/low probability setups
- Leave you guessing about market structure
### ✅ **THIS SYSTEM:**
- **Selective Excellence** - Only 3-7 high-quality signals per week
- **Built-in Intelligence** - Automatically avoids choppy markets
- **Complete Transparency** - Shows you exactly why each signal triggers
- **Professional Grade** - Used by institutional-level confirmation methods
---
## 🎓 **PERFECT FOR:**
✅ **Swing Traders** - Clean entries on major trend moves
✅ **Day Traders** - High-probability intraday setups
✅ **Position Traders** - Long-term trend following
✅ **Beginners** - Clear, unambiguous signals with built-in education
✅ **Professionals** - Advanced filtering reduces noise, maximizes edge
---
## ⚡ **QUICK SETUP GUIDE**
1. **Add indicator to chart**
2. **Enable all default filters** (optimized settings included)
3. **Watch the status panel** - Wait for Chop Score ≥ 3/5
4. **Enter on BUY/SELL signals** - Exit on EXIT signals
5. **Profit from trending moves** while avoiding choppy losses!
---
## 🌟 **THE BOTTOM LINE**
**Stop fighting the market. Start trading WITH institutional-grade intelligence.**
This isn't just an indicator - it's your **competitive advantage** in a market where 90% of traders lose money due to poor timing and choppy market entries.
**Join the 10% who consistently profit by trading only when conditions are optimal.**
---
### 🔥 **"Finally, an indicator that thinks like a professional trader - selective, patient, and deadly accurate when it matters most."**
**Download now and experience the difference between trading signals and trading INTELLIGENCE.**
*Results may vary. Past performance does not guarantee future results. Always use proper risk management.*
Optimized Candlestick Entry Indicator1. Conflict Prevention System:
Pattern Strength Scoring: Each pattern gets a strength score (0-1) based on how well it matches ideal characteristics
Context Filtering: Patterns only trigger in appropriate market conditions (uptrend/downtrend)
Signal Prioritization: When multiple patterns occur, only the strongest one triggers
Mutual Exclusion: Prevents simultaneous buy/sell signals on the same candle
2. Enhanced Pattern Recognition:
Minimum Strength Threshold: Configurable minimum pattern strength (default 60%)
Trend Context Awareness: Hammer/Inverted Hammer only in downtrends, Hanging Man/Shooting Star only in uptrends
Improved Ratios: Better body-to-wick ratio calculations
Volume Consideration: Patterns require meaningful price ranges
3. Smart Decision Logic:
Pattern Counting: Counts active bullish vs bearish patterns
Conflict Resolution: If both signals exist, chooses the stronger one
Final Signal Generation: Only one signal type per candle
4. Advanced Features:
Trend Filter: Optional MA-based trend filter (20-period default)
Strength Display: Shows pattern strength percentage in labels
Context Information: Alerts include trend direction
Visual Enhancements: Larger, clearer signals with strength indicators
5. Configuration Options:
Trend Filter Toggle: Enable/disable trend-based filtering
Minimum Pattern Strength: Adjust sensitivity (0.3-1.0)
Individual Pattern Control: Enable/disable specific patterns
Visual Customization: Control labels, shapes, and alerts
How It Prevents Conflicts:
Context Separation: Bullish patterns only trigger in bearish contexts and vice versa
Strength Comparison: When conflicts arise, only the strongest pattern signals
Pattern Validation: Each pattern must meet strict strength criteria
Final Decision Layer: A final logic layer ensures only one signal type per bar
This optimized version will give you clear, non-conflicting entry signals with much higher accuracy and reliability!Retry
