Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW
A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels.
Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure.
🔵 CONCEPTS
Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3).
Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically.
Trend direction flips when the average price crosses above or below these envelopes.
Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean.
🔵 FEATURES
Volatility-Based Trend Line:
A thick, color-coded line tracks the current trend with smoother transitions between phases.
Multi-Layered Flow Ribbons:
Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction.
Trend Coloring & Transitions:
Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band.
Real-Time Responsiveness:
Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes.
🔵 HOW TO USE
Use the color and thickness of the core trend line to follow directional bias.
When ribbons widen symmetrically, it signals strong trend momentum .
Narrowing or overlapping ribbons can suggest consolidation or transition zones .
Combine with breakout systems or volume tools to confirm impulsive or corrective phases .
Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more.
🔵 CONCLUSION
Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
المؤشرات والاستراتيجيات
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW
This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones.
CONCEPTS
The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness.
FEATURES
Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean.
Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend).
Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension.
Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs.
Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking.
Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups.
Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness.
Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions.
USAGE
To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
[TupTrader] Multi-Timeframe Key Levels | Smart Candle Zones
**Multi-Timeframe Key Levels | Smart Candle Zones**
Unlock the power of smart price levels with Multi-Timeframe Key Levels – a precision tool for traders who rely on higher timeframe structure.
🧠 This indicator automatically plots the key levels (Open, High, Low, Close) and optional body/fibonacci levels of the *previous candle* from two customizable higher timeframes, directly onto your lower timeframe chart.
💡 Recommended settings:
- 4H + Daily on 5-Minute Chart
- 8H + 1H on 1-Minute Chart
📈 Ideal for:
- Scalping around structure levels
- Day trading with HTF context
- Confirmation of breakout, retest, or rejection patterns
✅ Features:
- Dual reference timeframes
- Auto-adjusting line lengths
- Live price labels (e.g. H: 4321.50)
- Choice between body or Fibonacci zones
- Candle box visualization of HTF structure
🚨 Alerts:
- Alert when price touches any HTF key level
Lightweight and customizable, this tool is a must-have for intraday and structure-based traders.
HOG Liquidity HunterHOG Liquidity Hunter – Pivot‑Based Liquidity Zones
📌 Overview
Plots dynamic support and resistance zones on swing pivots with an ATR‑based buffer. Anchored only when pivots are confirmed, the zones stay close to current price levels—ideal for spotting liquidity runs or traps.
🔧 How It Works
Detects swing highs and lows using ta.pivothigh() / ta.pivotlow() with a user‑defined lookback.
After a pivot is confirmed, calculates BSL/SSL zone = pivot ± (ATR * margin).
Zones update only on confirmed pivots—no repainting on open bars.
⚙️ Inputs
Lookback: bars to confirm pivots (e.g. 10–20).
ATR Margin Multiplier: buffer width (e.g. 1.25).
✅ Benefits
Structure‑focused: Zones align with real swing points.
Responsive yet stable: Tight ATR margin keeps zones precise, only updating on valid pivots.
Clean visuals: Two uncluttered zones—easy to interpret.
🛠 How to Use
Detect near‑zone bounce entries or exits on 4H/1D charts.
Combine with trend or volume indicators for stronger setups.
Use zones to identify potential stop‑run, liquidity re‑tests, or range turns.
⚠️ Notes & Disclaimers
Zones base off historical pivots; may lag until confirmed.
No future-looking data—relying entirely on closing bar confirmation.
Use alongside a complete trading framework; this is not a standalone signal.
Math by Thomas - SMC OB + FVG📄 Description
This script is designed for traders following the Smart Money Concepts (SMC) methodology. It automatically detects:
✅ Bullish and Bearish Order Blocks (OBs) based on structural breakouts, displacement, and volume conditions.
✅ Fair Value Gaps (FVGs) using a 3-candle price imbalance model.
🔄 Both OBs and FVGs clean up dynamically when invalidated by price action.
Built with institutional logic, this tool helps identify areas of interest for potential reversals, liquidity grabs, or mitigation plays.
⚙️ How It Works
🔷 Order Blocks (OB)
A Bullish OB is marked after a Break of Structure (BOS) to the upside.
A Bearish OB is marked after BOS to the downside.
Filters like displacement candle and volume spike can be toggled in settings.
Boxes are drawn from the opposing candle in the move, and will disappear once broken or expired.
🟥 Fair Value Gaps (FVG)
FVGs are detected when the middle candle leaves a price imbalance between the first and third candle.
Zones are marked with transparent boxes.
Labels (FVG) appear only once every 20 bars to reduce clutter.
Gaps are removed only after a full candle closes through the zone (conservative logic).
🛠️ User Settings
Choose volume multiplier and ATR period for OB displacement logic.
Set box extension, label transparency, and cleanup behavior.
Full control over colors and midline display.
📈 How to Use
Apply the indicator to any chart (works best on indices, forex, crypto).
Use OBs as points of interest for potential reaction zones or mitigation setups.
Use FVGs to identify imbalances that may attract price.
Watch for confluence between OBs and FVGs for high-probability entries.
📚 Best Practice
Use on 15m–1h timeframe for clean structure.
Align with higher TF bias for direction.
Combine with liquidity sweeps, EQH/EQL, or breaker blocks for refinement.
Volume Velocity by TenozenA new indicator is here!
Volume Velocity (VV) is designed to help identify whether the market is likely to trend or move sideways. When VV drops below 0, it suggests weak volume momentum, which often leads to choppy or range-bound price action. Conversely, a positive VV typically signals a stronger market drive, potentially indicating trend formation. (Strong reminder! Volume data quality is crucial! I suggest using volume data from futures market!)
VV is calculated using Kalman filter concepts; adapting to the state, covariance, and predictions over time, using matrix-based calculations.
To be honest, it's quite a complex method, and I’m still learning as I go. The current version is based on a translated formula that I personaly modified into Pine Script.
I’d really appreciate any insights or ideas you guys might have! Maybe there’s something I missed or a new approach I could try! Ciao!
Advanced Market Profile AnalysisChecking if the vpoc, ppoc, and poor high and poor low are any anomolies can be detected with it
Squeeze Pro Momentum BAR color - KLTDescription:
The Squeeze Pro Momentum indicator is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility.
It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum.
🔍 How It Works:
📉 Squeeze Detection:
This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels:
When Bollinger Bands are inside Keltner Channels → Squeeze is ON
When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF
You’ll see squeeze zones classified as:
Wide
Normal
Narrow
Each represents varying levels of compression and breakout potential.
⚡ Momentum Engine:
Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market.
🧠 Smart Candle Coloring (Optimized):
The momentum color logic is inspired by machine learning principles (no hardcoded thresholds):
EMA smoothing and rate of change (ROC) are used to detect momentum acceleration.
ATR-based filters help remove noise and false signals.
Colors are dynamically assigned based on both direction and trend strength.
🧪 How to Use It:
Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts.
Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion.
Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups.
Recommended For:
Trend Traders
Breakout Traders
Volatility Strategy Users
Anyone who wants visual clarity on trend strength
📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
Hammer + Spring Confluence DetectorHammer + Spring Confluence Detector - Complete Analysis
Overview
This Pine Script indicator is designed to identify high-probability bullish reversal opportunities by detecting the confluence of two powerful patterns: Hammer candlesticks and Spring patterns. When these patterns occur simultaneously, they create a strong buying signal with multiple confirmations.
How the Script Works
1. Trend Detection System
The script first establishes market context using three options:
SMA50: Uses 50-period moving average to determine trend direction
SMA50 + SMA200: Uses both averages for more robust trend identification
No detection: Ignores trend context
Logic:
Downtrend = Price below SMA50 (and SMA50 below SMA200 if using dual SMA)
This ensures hammer patterns are detected only in appropriate market conditions
2. Hammer Pattern Detection
Basic Hammer Criteria:
Small body: Body size < EMA of recent body sizes
Body position: Body located in upper half of the candle range
Long lower shadow: Lower shadow ≥ 2x the body size (configurable factor)
Short upper shadow: Upper shadow ≤ 50% of body size
Enhanced Confirmations:
The script adds multiple confirmation layers:
Volume confirmation: Volume > 1.2x average (configurable)
RSI oversold: RSI < 35 (indicating oversold conditions)
Trend alignment: Occurs during established downtrend
Scoring System: Assigns points for each confirmation, requiring ≥2 points for "Hammer at Support"
3. Spring Pattern Detection
Support Level Calculation:
- Analyzes last 10 bars (configurable lookback)
- Identifies price levels touched multiple times (min 2 touches)
- Uses 0.5% tolerance for support level identification
- Falls back to lowest low if insufficient touches found
Spring Criteria:
Penetration: Price breaks below support by minimum % (default 0.1%)
Rejection: Strong bounce showing ≥30% rejection of the range
Bullish close: Candle closes above its open
Volume: Adequate volume (≥80% of 10-period average)
Advanced Spring Validation:
Quick bounce: High-close distance < 50% of close-low distance
Hammer-like structure: Close-low ≥ 60% of total range
4. Confluence Detection
The magic happens when both patterns align:
Standard Confluence:
Hammer pattern + Spring pattern occurring simultaneously
Creates "H+S" label with rejection percentage
High-Quality Confluence (★ STRONG BUY ★):
Enhanced hammer at support level
Confirmed spring pattern
Volume spike present
RSI oversold condition
Additional rejection strength (≥50%)
Visual Elements
Labels and Markers:
Blue "H": Individual hammer patterns
Green "S": Individual spring patterns
Red "H+S": Confirmed confluence with rejection %
Yellow "Hammer+Spring FORMING": Real-time forming patterns
Purple "★ STRONG BUY ★": High-quality confluence signals
Additional Visuals:
Support lines: Dotted red lines showing identified support levels
Background highlighting:
Purple for high-quality confluence
Red for standard confluence
Orange for support penetration
Triangle markers: Below-bar confirmation signals
Information Table:
Real-time status display showing:
Hammer status (No/Yes/Strong)
Spring status (No/Forming/Confirmed)
Current support level
Rejection percentage
Volume condition
RSI status
Overall confluence status
Effectiveness for Traders
✅ Strengths:
1. Multiple Confirmation System
Combines price action, volume, momentum (RSI), and support levels
Reduces false signals through layered validation
Different confidence levels (standard vs. high-quality signals)
2. Risk Management Features
Alert cooldown prevents spam (5-bar default)
Clear support levels for stop-loss placement
Visual cues for different signal strengths
3. Flexibility
Configurable parameters for different markets/timeframes
Optional trend filtering
Real-time and confirmed signal options
4. Comprehensive Information
Detailed status table for decision-making
Rejection percentages for signal strength assessment
Multiple alert types for different trading styles
⚠️ Limitations:
1. Lagging Nature
Requires pattern completion for confirmation
May miss early entry opportunities
Best signals come after significant price movement
2. Market Dependency
More effective in trending markets with clear support levels
May generate false signals in choppy/sideways markets
Requires adequate volume for reliable signals
3. Parameter Sensitivity
Multiple configurable parameters may require optimization
Settings may need adjustment for different instruments
Over-optimization risk in backtesting
📊 Trading Effectiveness:
High Probability Scenarios:
Score: 8-9/10 for high-quality confluence signals
Strong support levels with multiple touches
Clear downtrend with oversold RSI
Volume spike confirmation
Clean hammer formation with strong rejection
Moderate Probability Scenarios:
Score: 6-7/10 for standard confluence
Adequate volume without spike
Normal RSI levels
Less defined support levels
Risk Factors:
False breakouts below support
Low volume environments
Conflicting higher timeframe trends
News-driven volatility
Optimal Usage Guidelines
Best Timeframes:
Daily charts: Most reliable for swing trading
4H charts: Good balance of signals and reliability
1H charts: More signals but requires careful filtering
Recommended Settings:
Use trend detection (SMA50 + SMA200) for better context
Keep default volume threshold (1.2x)
Adjust RSI oversold level based on market volatility
Enable both real-time and confirmed alerts
Entry Strategy:
Wait for high-quality confluence confirmation
Enter on break above hammer high or next candle open
Set stop-loss below identified support level
Target 2-3x risk-reward ratio
Risk Management:
Never risk more than 1-2% per trade
Use position sizing based on stop-loss distance
Consider overall market conditions and higher timeframe trends
Combine with other technical analysis tools for confirmation
Conclusion
This indicator represents a sophisticated approach to reversal trading, combining classical candlestick patterns with support/resistance analysis. Its effectiveness lies in the multi-layered confirmation system that filters out many false signals common with single-pattern approaches.
For experienced traders: This tool can significantly improve entry timing and signal quality when used as part of a comprehensive trading strategy.
The complexity might be overwhelming, but the clear visual cues and information table make it educational for learning pattern recognition.
Enjoy!!
SMA/EMA Trade Signal# SMA/EMA Trade Signal - Detailed Guide
## Indicator Overview
This indicator is a comprehensive trade signal detection system based on moving averages (SMA/EMA). It combines multi-timeframe moving average analysis, RSI filtering, trend strength assessment, and volume analysis to identify highly accurate entry points.
## Key Features
### 1. Multi-Timeframe Moving Average Display
* **Supported Timeframes**: 5m, 15m, 30m, 1H, 4H, Daily
* **MA Types**: SMA (Simple Moving Average) or EMA (Exponential Moving Average)
* **Period Settings**: Short MA (default 20), Long MA (default 200)
* **Visual Display**: Displayed with varying opacity lines per timeframe
### 2. Four Entry Signal Patterns
#### Buy Signals
1. **Breakout above 200MA**: Price breaks above the 200MA during an uptrend
2. **Rebound from 200MA**: Price pulls back to 200MA and rebounds in an uptrend
3. **Break above 20MA (above 200MA)**: 20MA breakout while above the 200MA
4. **Rebound from 20MA (above 200MA)**: Confirmed rebound from 20MA above 200MA (confirmed twice or more)
#### Sell Signals
1. **Breakdown below 200MA**: Price breaks below 200MA during a downtrend
2. **Rejection from 200MA**: Price rises to 200MA and falls back in a downtrend
3. **Break below 20MA (below 200MA)**: 20MA breakout to downside while under the 200MA
4. **Rejection from 20MA (below 200MA)**: Confirmed rejection from 20MA under 200MA (confirmed twice or more)
### 3. Advanced Filtering System
#### RSI Filter
* **Buy Signals**: Triggered when RSI is below 70
* **Sell Signals**: Triggered when RSI is above 30
* **Purpose**: Avoid entries in overheated markets
#### Distance Filter
* **Short MA Distance**: Within 2% of the 20MA
* **Long MA Distance**: Within 5% of the 200MA
* **200MA Proximity Filter**: Avoid entries when 200MA from other timeframes is too close
#### Trend Strength Filter
Trend strength is evaluated using the following 6 elements:
1. **Volume Surge**: 1.5x or more of the average volume
2. **Strong Candlestick**: Body is over 70% of the total range
3. **Consecutive Candles**: Two or more in the same direction
4. **High/Low Breakout**: Breaks 20-period high/low
5. **Engulfing Pattern**
6. **Range Breakout**: Breaks range with volume
### 4. Info Panel Display
Real-time display in the upper right panel:
* **Trend Status**: Uptrend / Downtrend / Range
* **Momentum**: Relationship between EMA15 and MA20
* **MA Bounce Count**: Long/short bounce count
* **MA Distance**: Degree of separation from MAs
* **Trend Strength Score**: Displayed as a score from 1 to 6
* **Distance to 200MA**: Nearest 200MA in pips
* **Filter Status**: Status of each filter (pass/fail)
## Parameter Details
### Display Settings
* **Show Current Timeframe MA**
* **Show \ MA**: Toggle for each timeframe
* **Show Trend Patterns**: Display trend pattern marks
* **Show Volume Surge Background**: Highlight background during volume spikes
### MA Period Settings
* **Short/Long MA Periods**
* **MA Type**: Choose between SMA or EMA
* **Timeframe-Specific Settings**: Set individually per timeframe
### Filter Settings
* **RSI Settings**: RSI period, overbought/oversold levels
* **Distance Filter**: Max allowable MA distance
* **Touch Detection**: Margin for MA touch judgment
* **Trend Strength**: Min score, volume multiplier, etc.
## How to Use
### 1. Basic Setup
1. Apply the indicator to the chart
2. Adjust MA periods according to the currency pair
3. Select desired timeframes
4. Set filter strength based on risk tolerance
### 2. Reading the Signals
#### Regular vs Strong Signals
* **Green Triangle (BUY)**: Regular buy signal
* **Lime Triangle (STRONG BUY)**: Buy signal with strong trend
* **Red Triangle (SELL)**: Regular sell signal
* **Orange Triangle (STRONG SELL)**: Sell signal with strong trend
#### Additional Markings
* **Small Circles**: Engulfing patterns
* **Arrows**: High/low breakouts
* **Yellow Background**: Volume surge
### 3. Entry Strategy
#### Recommended Entry Conditions
1. **Signal Triggered**: BUY or SELL signal appears
2. **Filter Confirmation**: Info panel shows "OK" status
3. **Trend Strength**: Score of 2 or higher (3+ for strong signals)
4. **Multi-Timeframe Alignment**: MAs from multiple timeframes point in same direction
#### Situations to Avoid
* Filter status shows “Distance NG”, “RSI NG”, etc.
* Trend strength score is 1 or lower
* Just before major economic events
* Around market open/close times
### 4. Risk Management
#### Stop Loss Setup
* **Buy**: Below recent low or support
* **Sell**: Above recent high or resistance
* **MA Reference**: Cut loss clearly below 200MA
#### Position Sizing
* Strong signals: Slightly larger positions
* Regular signals: Standard size
* Weak filter status: Smaller positions
## Optimization Tips
### Parameter Tuning
1. **Run Backtests**: Evaluate historical performance
2. **Adapt to Timeframe**: Adjust MA period to match trading timeframe
3. **Pair-Specific Tweaks**: Calibrate filters based on volatility
4. **Adapt to Market Conditions**: Change settings for trend vs range markets
### Combined Usage
* **Other Indicators**: Fibonacci, Support/Resistance
* **Fundamental Analysis**: Economic events, central bank policies
* **Time-of-Day Analysis**: Consider characteristics of Asian, EU, US sessions
## Important Notes
1. **Past results don’t guarantee future performance**: Don't rely solely on backtests
2. **Changing Market Conditions**: Effectiveness varies in trending vs ranging markets
3. **News Impact**: Technical setups can be invalidated by major announcements
4. **Leverage Risk**: Use high leverage cautiously
5. **Regular Review**: Periodically review parameters and performance
Although this indicator is a comprehensive analysis tool, final trading decisions should be made by taking multiple factors into account.
HOG QQE StackHOG QQE Stack – Advanced Momentum + Volatility “Stack”
🧠 Overview
HOG QQE Stack enhances classic QQE (a smoothed RSI variant) by layering multiple signal validation components: momentum, volatility, color gradient, and volume confirmation. This “stacked” structure produces clearer, more reliable signals than using RSI or QQE alone.
📊 Key Features
1. **Smoothed RSI Core**
Starts from a twice-smoothed RSI base (similar to QQE), reducing noise for cleaner trend detection. :contentReference {index=1}
2. **Fast & Slow Momentum Lines**
Generates dual lines for momentum crossovers—more precise than single-oscillator readings. :contentReference {index=2}
3. **ATR Volatility Filter**
Adds volatility-based bands around the fast line, helping filter out weak moves and false signals. :contentReference {index=3}
4. **Volume‑Validated Pulse Dots**
Pulse dots indicate when strong momentum aligns with volume spikes near overbought/oversold zones—highlighting high-confidence moves.
5. **Gradient Color Line**
The QQE line dynamically colors itself based on its position between OB/OS levels—intuitive and visually insightful.
6. **OB/OS & Midline Context**
Includes fixed 70/50/30 reference lines for quick momentum benchmarking.
7. **Layered Signal Strength**
By stacking momentum, volatility, gradient, and volume, the indicator provides multi-tiered confirmation—hence the “Stack” name.
8. **Repaint-Safe & Minimalist**
Plots only confirmed data—no repainting. The visuals are clean and easy to read.
🎯 Application
- Monitor fast/slow momentum crossovers *within* the volatility band for confirmed trend shifts.
- Use pulse dots to confirm strong movement backed by volume.
- Ideal for 4H/Daily charts, especially when used with HOG Super Trend or Liquidity Hunter.
- OB/OS levels (70/50/30) serve as guides for potential reversals or continuations.
⚙️ Inputs
- RSI Length
- QQE Smooth Factor
- WAE Length & Multiplier
- Overbought & Oversold Levels (default 70/30)
⚠️ Notes
- Designed as a **confirmation stack**, not a standalone strategy.
- No repainting—uses confirmed bar values only.
- Fully original code—no copying.
- No guarantees of performance—use proper risk management.
Range Trading Entry Signals (Trend Considered)# Range Market Entry Signal Indicator Guide
## Overview
This indicator is a custom TradingView indicator designed to identify effective entry points in range-bound (sideways) markets. It primarily uses RSI (Relative Strength Index) and visually displays range upper and lower bounds to provide counter-trend trading opportunities.
## Key Features
### 1. Range Identification Function
- **Range Upper/Lower Lines**: Automatically identifies ranges based on the highest and lowest values over a specified period (default 50 periods)
- **70% Line Display**: Shows positions at 30% from the top and bottom of the range, providing more precise entry points
### 2. RSI-Based Signal Generation
- **Buy Signal**: Triggered when RSI reverses after falling below the oversold line (default 30)
- **Sell Signal**: Triggered when RSI reverses after rising above the overbought line (default 80)
### 3. Moving Average Filter (Optional)
- Uses 20-period simple moving average as an auxiliary indicator
- Filtering function that considers trend direction
### 4. Information Display Table
- Current RSI value
- Range upper and lower bound values
- Moving average value
- Supports real-time market condition assessment
## Configuration Parameters
| Parameter | Default Value | Description |
|-----------|---------------|-------------|
| RSI Period | 14 | Period used for RSI calculation |
| RSI Oversold Line | 30 | Threshold for buy signals |
| RSI Overbought Line | 80 | Threshold for sell signals |
| Moving Average Period | 20 | Period for auxiliary moving average |
| Range Detection Period | 50 | Period for calculating range upper/lower bounds |
| Use Moving Average Filter | True | Enable/disable moving average filter |
## Entry Strategies and Usage Examples
### Basic Entry Methods
#### 🟢 Buy Entry
**Conditions**:
- RSI recovers above 31 after falling below 30
- (Optional) Current price is above the 20-period moving average
**Example**:
```
1. Price moves near the range lower bound
2. RSI drops to 28
3. Next candle shows RSI rising to 32 → Buy signal generated
4. Enter near the range lower 70% line
```
#### 🔴 Sell Entry
**Conditions**:
- RSI falls below 79 after rising above 80
- (Optional) Current price is below the 20-period moving average
**Example**:
```
1. Price moves near the range upper bound
2. RSI rises to 82
3. Next candle shows RSI falling to 78 → Sell signal generated
4. Enter near the range upper 70% line
```
### Profit-Taking Strategies
#### Pattern 1: Take Profit at Opposite Range Side
- **Long Positions**: Take profit at range upper bound or upper 70% line
- **Short Positions**: Take profit at range lower bound or lower 70% line
#### Pattern 2: Take Profit on RSI Reversal
- **Long Positions**: When RSI reaches 70-80 levels
- **Short Positions**: When RSI reaches 20-30 levels
#### Pattern 3: Take Profit on Moving Average Cross
- Partial profit-taking when price crosses the moving average in the opposite direction
### Risk Management
#### Stop Loss Placement
- **Long Positions**: Clear break below the range lower bound
- **Short Positions**: Clear break above the range upper bound
#### Position Size Adjustment
- Adjust position size according to range height (upper bound - lower bound)
- Larger positions for narrow ranges, smaller positions for wide ranges
## Optimal Market Conditions
### Suitable Markets
✅ **Range-bound (sideways) markets**
✅ **Markets with moderate volatility**
✅ **Markets with clear support and resistance levels**
### Markets to Avoid
❌ **Strong trending markets**
❌ **Extremely low volatility markets**
❌ **Before and after major economic announcements**
## Practical Usage Tips
### 1. Timeframe Selection
- **Day Trading**: 5-minute to 1-hour charts
- **Swing Trading**: 4-hour to daily charts
### 2. Combination with Other Indicators
- **Bollinger Bands**: Confirm range validity
- **MACD**: Assess trend strength
- **Volume**: Improve signal reliability
### 3. Important Considerations
- Don't rely on a single indicator; use multiple confirmation factors
- Adjust parameters according to changing market conditions
- Backtest historical performance before applying to live trading
## Summary
This indicator is a specialized tool for counter-trend strategies in range-bound markets. By combining RSI reversal signals with range lines, it can help identify efficient entry points. However, the key to success lies in correctly assessing market conditions and using appropriate risk management techniques in conjunction with the indicator.
Fibonacci Optimal Entry Zone [OTE] (Zeiierman)█ Overview
Fibonacci Optimal Entry Zone (Zeiierman) is a high-precision market structure tool designed to help traders identify ideal entry zones during trending markets. Built on the principles of Smart Money Concepts (SMC) and Fibonacci retracements, this indicator highlights key areas where price is most likely to react — specifically within the "Golden Zone" (between the 50% and 61.8% retracement).
It tracks structural pivot shifts (CHoCH) and dynamically adjusts Fibonacci levels based on real-time swing tracking. Whether you're trading breakouts, pullbacks, or optimal entries, this tool brings unparalleled clarity to structure-based strategies.
Ideal for traders who rely on confluence, this indicator visually synchronizes swing highs/lows, market structure shifts, Fibonacci retracement levels, and trend alignment — all without clutter or lag.
⚪ The Structural Assumption
Price moves in waves, but key retracements often lead to continuation or reversal — especially when aligned with structure breaks and trend shifts.
The Optimal Entry Zone captures this behavior by anchoring Fibonacci levels between recent swing extremes. The most powerful area — the Golden Zone — marks where institutional re-entry is likely, providing traders with a sniper-like roadmap to structure-based entries.
█ How It Works
⚪ Structure Tracking Engine
At its core, the indicator detects pivots and classifies trend direction:
Structure Period – Determines the depth of pivots used to detect swing highs/lows.
CHoCH – Break of structure logic identifies where the trend shifts or continues, marked visually on the chart.
Bullish & Bearish Modes – Independently toggle uptrend and downtrend detection and styling.
⚪ Fibonacci Engine
Upon each confirmed structural shift, Fibonacci retracement levels are projected between swing extremes:
Custom Levels – Choose which retracements (0.50, 0.618, etc.) are shown.
Real-Time Adjustments – When "Swing Tracker" is enabled, levels and labels update dynamically as price forms new swings.
Example:
If you disable the Swing Tracker, the Golden Level is calculated using the most recent confirmed swing high and low.
If you enable the Swing Tracker, the Golden Level is calculated from the latest swing high or low, making it more adaptive as the trend evolves in real time.
█ How to Use
⚪ Structure-Based Entry
Wait for CHoCH events and use the resulting Fibonacci projection to identify entry points. Enter trades as price taps into the Golden Zone, especially when confluence forms with swing structure or order blocks.
⚪ Real-Time Reaction Tracking
Enable Swing Tracker to keep the tool live — constantly updating zones as price shifts. This is especially useful for scalpers or intraday traders who rely on fresh swing zones.
█ Settings
Structure Period – Number of bars used to define swing pivots. Larger values = stronger structure.
Swing Tracker – Auto-updates fib levels as new highs/lows form.
Show Previous Levels – Keep older fib zones on chart or reset with each structure shift.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Market Balance LevelMarket Balance Level (MBL)
This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend.
How It Works:
Detects consolidation ranges using consecutive candles within a tight high-low structure.
When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation.
Triangles are drawn on breakouts to visually confirm the breakout direction.
Lines can be customized by color, width, and breakout direction (bullish, bearish, or both).
Recommended Use:
Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance.
Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation.
Features:
Adjustable consolidation sensitivity and line length.
Option to show/hide bullish or bearish MBLs.
Visual breakout markers (triangles) with alert support.
Optional alert messages for breakout events.
Use this tool to enhance your structure-based or SMC-style trading strategies.
Canuck Trading Trader StrategyCanuck Trading Trader Strategy
Overview
The Canuck Trading Trader Strategy is a powerful, trend-following trading system designed for day traders seeking high-probability setups on volatile stocks like Tesla (NASDAQ:TSLA). Built for the 15-minute timeframe, this strategy combines momentum, volume, price action, VWAP, and Smart Money Concepts (SMC) to identify optimal entry and exit points. With a sleek, minimalist visual design, it delivers clear buy/sell signals and dynamic trend columns, making it easy to spot market opportunities. The Canuck Trader spin offers a unique blend of precision and style.
Key Features
The strategy leverages a T3-smoothed trend oscillator, combining fast (3-period) and slow (15-period) EMAs with RSI to detect momentum shifts. Entries are triggered when the trend rises above its 10-bar SMA, supported by VWAP alignment, optional SMC value zones, high volume, and price action patterns (HH/HL for buys, LH/LL for sells). Exits use dynamic ATR-based stops and take-profits, with a trailing stop to capture extended moves.
Usage Instructions
Watch for buy and sell signals, plotted at trade entry points.
Customize inputs (e.g., volume_threshold, atr_multiplier_sl/tp) via the settings panel to tweak trade frequency or risk.
Set alerts for "Buy Signal" or "Sell Signal" to catch real-time opportunities.
For best results, use a premium TradingView plan for full intraday data access.
Customization
Adjust momentum_ema_fast/slow for faster or slower trend detection.
Modify volume_threshold (default 0.7) to filter volume spikes.
Tweak atr_multiplier_sl (1.2) and atr_multiplier_tp (1.5) for risk/reward preferences.
Change column/signal colors in the Style tab for your preferred look.
Notes
Born from relentless iteration and a passion for precision, the Canuck Trading Trader Strategy blends cutting-edge technicals with a bold, minimalist design. Whether you’re scalping TSLA’s intraday swings or riding multi-bar trends, this strategy delivers the edge you need with a distinctly Canadian flair. Trade smart, trade Canuck!
Feedback
If you encounter issues (e.g., label overlap, projection mismatches), please share your timeframe, settings, or a screenshot. Suggestions for enhancements (e.g., additional filters, visual tweaks) are welcome!
Disclaimer
The Canuck Trading Projection Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
QQE On ChartQQE On Chart – Visual QQE Crossover Indicator
This indicator implements the Quantitative Qualitative Estimation (QQE) algorithm directly on the price chart.
Unlike traditional QQE implementations that are plotted as a separate oscillator, this version maps QQE Fast and QQE Slow signals as visual lines near the price action, allowing for cleaner and faster signal interpretation.
What it does:
Calculates smoothed RSI (using EMA) and its volatility (ATR of RSI changes).
Constructs upper and lower bands (QQE Slow) based on the smoothed QQE Fast line and dynamic ATR.
Displays BUY/SELL signals when the QQE Fast line crosses the QQE Slow band.
Signals are plotted as labels directly below/above the candles.
Why it's useful:
The proximity to price makes this QQE implementation very intuitive for price-action traders.
The smoothing and crossover logic help identify shifts in momentum and trend continuation.
Unique elements:
Overlay on chart with dynamic offset for better readability.
Built-in alerts for real-time trading reaction.
Optional signal markers can be enabled or disabled.
Best used for:
Momentum trading
Trend confirmation
Identifying reversal or breakout zones
Parameters:
RSI Length: Base RSI calculation period
Smoothing Factor: EMA applied to RSI
Offset from Price: Controls distance of QQE lines from price
Flux Capacitor (FC)# Flux Capacitor
**A volume-weighted, outlier-resistant momentum oscillator designed to expose hidden directional pressure from institutional participants.**
---
### Why "Flux Capacitor"?
The name pays homage to the fictional energy core in *Back to the Future* — an invisible engine that powers movement. Similarly, this indicator detects whether price movement is being powered by real market participation (volume) or if it's coasting without conviction.
---
### Methodology
The Flux Capacitor fuses three statistical layers:
- **Normalized Momentum**: `(Close – Open) / ATR`
Controls for raw price size and volatility.
- **Volume Scaling**:
Amplifies the effect of price moves that occur with elevated volume.
- **Robust Normalization**:
- *Winsorization* caps outlier spikes.
- *MAD-Z scoring* normalizes the signal across assets (crypto, futures, stocks).
- This produces consistent scaling across timeframes and symbols.
The result is a smooth oscillator that reliably indicates **liquidity-backed momentum** — not just price movement.
---
### Signal Events
- **Divergence (D)**: Price makes higher highs or lower lows, but Flux does not.
- **Absorption (A)**: Candle shows high volume and small body, while Flux opposes the candle direction — indicates smart money stepping in.
- **Compression (◆)**: High volume with low momentum — potential breakout zone.
- **Zero-Cross**: Indicates directional regime flip.
- **Flux Acceleration**: Histogram shows pressure rate of change.
- **Regime Background**: Color fades with weakening trend conviction.
All signals are color-coded and visually compact for easy pattern recognition.
---
### Interpreting Divergence & Absorption Correctly
Signal strength improves significantly when it appears **in the correct zone**:
#### Divergence:
| Signal | Zone | Meaning | Strength |
|--------|------------|------------------------------------------|--------------|
| Green D | Below 0 | Bullish reversal forming in weakness | **Strong** |
| Green D | Above 0 | Bullish, but less convincing | Moderate |
| Red D | Above 0 | Bearish reversal forming in strength | **Strong** |
| Red D | Below 0 | Bearish continuation — low warning value | Weak |
#### Absorption:
| Signal | Zone | Meaning | Strength |
|--------|------------|-----------------------------------------|--------------|
| Green A | Below 0 | Buyers absorbing panic-selling | **Strong** |
| Green A | Above 0 | Support continuation | Moderate |
| Red A | Above 0 | Sellers absorbing FOMO buying | **Strong** |
| Red A | Below 0 | Trend continuation — not actionable | Weak |
Look for **absorption or divergence signals in “enemy territory”** for the most actionable entries.
---
### Reducing Visual Footprint
If your chart shows a long line of numbers across the top of the Flux Capacitor pane (e.g. "FC 14 20 9 ... Bottom Right"), it’s due to TradingView’s *status line input display*.
**To fix this**:
Right-click the indicator pane → **Settings** → **Status Line** tab → uncheck “Show Indicator Arguments”.
This frees up vertical space so top-edge signals (like red `D` or yellow `◆`) remain visible and unobstructed.
---
### Features
- Original MAD-Z based momentum design
- True volume-based divergence and absorption logic
- Built-in alerts for all signal types
- Works across timeframes (1-min to weekly)
- Minimalist, responsive layout
- 25+ customizable parameters
- No future leaks, no repainting
---
### Usage Scenarios
- **Trend confirmation**: Flux > 0 confirms bullish trend strength
- **Reversal detection**: Divergence or absorption in opposite territory = high-probability reversal
- **Breakout anticipation**: Compression signal inside range often precedes directional move
- **Momentum shifts**: Watch for zero-crosses + flux acceleration spikes
---
### ⚠ Visual Note for BTC, ETH, Crude Oil & Futures
These high-priced or rapidly accelerating instruments can visually compress any linear oscillator. You may notice the Flux Capacitor’s line appears "flat" or muted on these assets — especially over long lookbacks.
> **This does not affect signal validity.** Divergence, absorption, and compression triggers still fire based on underlying logic — only the line’s amplitude appears reduced due to scaling constraints.
---
### Disclaimer
This indicator is for educational purposes only. It is not trading advice. Past results do not guarantee future performance. Use in combination with your own risk management and analysis.
RSI Divergence StrategyOverview
The RSI Divergence Strategy Indicator is a trading tool that uses the RSI and divergences created to generate high-probability buy and sell signals.
I have provided the best formula of numbers to use for BTC on a 30 minute timeframe.
You can change where on RSI you enter and exit both long or short trades. This way you can experiment on different tokens using different entry/exit points. Can use on multiple timeframes.
This strategy is designed to open and close long or short trades based on the levels you provide it. You can then check on the RSI where the best levels are for each token you want to trade and amend it as required to generate a profitable strategy.
How It Works
The RSI Divergence Strategy Indicator uses bear and bull divergences in conjuction with a level you have input on the RSI.
RSI for Overbought/Oversold:
• Input variables for entry and exit levels and when the entry levels combine with a bear or bull divergence signal, a trade is alerted.
RSI Divergence:
• Buy and sell signals are confirmed when the RSI creates bearish or bullish divergences and these divergences are in the same area as your levels you input for entry to short or long.
After 7 years of experience and testing I have calculated the exact numbers required and produced a formula to calculate the exact input variables for a 30 minute Bitcoin chart.
Key Features
1️⃣ Divergence Identification – Ensures trades are taken only when a bull or bear divergence has formed.
2️⃣ Overbought/Oversold Input Filtering – Set up your own variables on the RSI for different markets after identifying patterns on the RSI in relation to a bearish or bullish divergence.
3️⃣ Works on any chart – Suitable for all markets and timeframes once you input the correct variables for entry and exit levels.
How to Use
🟢 Basic Trading:
• Use on any timeframe.
• Enter trade only when alert has fired off. Close when it says to exit.
• Change entry and exit levels in the properties of the strategy indicator.
• Make entry and exit levels coincide with bearish or bullish divergences on the RSI.
Check the strategy tester to see backtesting so you know if the indicator is profitable or not for that market and timeframe as each crypto token is different and so is the timeframe you choose.
📢 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Key additions for divergence visualization:
Divergence Arrows:
Bullish divergence: Green label with white 'bull ' text
Bearish divergence: Red label with white 'bear' text
Positioned at the pivot point
Divergence Lines:
Connects consecutive RSI pivot points
Automatically drawn between consecutive pivot points
Enhanced RSI Coloring:
Overbought zone: Red
Oversold zone: Green
Neutral zone: Gray
The visualization helps you instantly spot:
Where divergences are forming on the RSI
The pattern of higher lows (bullish) or lower highs (bearish)
Contextual coloring of RSI relative to standard levels
All divergence markers appear at the correct historical pivot points, making it easy to visually confirm divergence patterns as they develop.
Strategy levels and background zones also shown to help visual look.
Why This Combination?
This indicator is just a simple RSI tool.
It is designed to filter out weak trades and only execute trades that have:
✅ RSI Divergence
✅ Overbought or Oversold Conditions
It does not calculate downtrends or bear markets so care is recommended taking long trades during these times.
Why It’s Worth Using?
📈 Open Source – Free to use and learn from.
📉 Long or Short Term Trading Style – Entry/Exit parameters options are designed for both short or long term trades allowing you to experiment until you find a profitable strategy for that market you want to trade.
📢 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
💲 Ready to trade smarter?
✅ Add the RSI Divergence Strategy Indicator to your TradingView chart.
Zero-Lag Linear Regression Candles🚀 Zero-Lag Linear Regression Candles
📊 What It Does
The Zero-Lag Linear Regression Candles change traditional candlestick analysis by creating smoothed, predictive candles that eliminate the lag inherent in standard linear regression methods. Instead of waiting for price confirmation, this indicator anticipates market movements using advanced mathematical modeling.
🎯 Key Features
Tri-Layer Super Responsive System
Layer 1: Weighted Linear Regression with exponential decay weighting
Layer 2: Zero-lag correction algorithm that projects future price direction
Layer 3: Adaptive intelligence that adjusts to current market volatility and momentum
Smart Market Adaptation
Automatically adjusts sensitivity based on market volatility (ATR)
Responds to momentum changes in real-time
Filters out market noise while preserving important signals
Customizable
Regression Length: Fine-tune responsiveness (2-50 periods)
Weight Decay Factor: Control how much emphasis to place on recent vs. historical data
Zero-Lag Periods: Adjust the aggressiveness of lag elimination
Adaptive Factor: Set market adaptation strength
🛠️ Usage Instructions
1. Add to Chart: Apply the indicator to any timeframe
2. Configure Settings: Adjust regression length and sensitivity to match your trading style
3. Interpret Signals:
- Green Candles: Bullish linear regression trend
- Red Candles: Bearish linear regression trend
Created by B3AR_Trades
Volatility Quality [Alpha Extract]The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands.
🔶 CALCULATION
The indicator processes volatility quality data through a series of analytical steps:
Bar Range Calculation: Measures true range (TR) to capture price volatility.
Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range.
VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI).
vqiRaw = ta.ema(weightedVol, vqiLen)
Smoothing: Applies an additional EMA to smooth the VQI for clearer signals.
Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows.
Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds.
vqiStdev = ta.stdev(vqiSmoothed, vqiLen)
upperBand1 = vqiSmoothed + (vqiStdev * stdevMultiplier1)
upperBand2 = vqiSmoothed + (vqiStdev * stdevMultiplier2)
upperBand3 = vqiSmoothed + (vqiStdev * stdevMultiplier3)
lowerBand1 = vqiSmoothed - (vqiStdev * stdevMultiplier1)
lowerBand2 = vqiSmoothed - (vqiStdev * stdevMultiplier2)
lowerBand3 = vqiSmoothed - (vqiStdev * stdevMultiplier3)
Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode).
Formula:
Bar Range = True Range (TR)
Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0)
VQI Raw = EMA(Weighted Volatility, VQI Length)
VQI Smoothed = EMA(VQI Raw, Smoothing Length)
VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200
Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
🔶 DETAILS
Visual Features:
VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative).
Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds.
Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context.
Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode).
Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative).
Interpretation:
VQI ≥ 200 (Normalized): Overbought condition, strong sell signal.
VQI 100–200: High volatility, potential selling opportunity.
VQI 0–100: Neutral bullish momentum.
VQI 0 to -100: Neutral bearish momentum.
VQI -100 to -200: High volatility, strong bearish momentum.
VQI ≤ -200 (Normalized): Oversold condition, strong buy signal.
🔶 EXAMPLES
Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol.
Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits.
Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities.
Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries.
Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum.
Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions.
Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements.
Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods.
🔶 SETTINGS
Customization Options:
VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50).
Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50).
Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0).
Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50).
Display Style: Switch between line or histogram plot for VQI.
Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative).
The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.
Smart Composite Strategy {Darkoexe}This strategy is a multi-confirmation trend-based system that combines several powerful community concepts into a cohesive trade automation framework. It’s designed to help identify high-probability directional trades with built-in dynamic exits, take-profits, and intelligent trend filters.
🧩 What Makes It Unique
Rather than relying on a single signal or open-source indicator, this strategy blends three well-established concepts:
G-Trend Reversal Detection – A trailing ATR-based trend switch logic to determine core market direction.
Bull/Bear Candle Momentum Filter – Counts candle colors over a lookback period to evaluate directional conviction.
Multi-timeframe CCI Rider & Ultimate RSI – Uses smoothed momentum values to confirm continuation and strength.
Trades are only entered when all modules are in agreement — filtering out noisy entries and aligning with prevailing momentum.
⚙️ Strategy Components
Entry Triggers:
A confirmed trend switch via G-Trend logic.
Favorable bullish or bearish candle momentum.
Multi-timeframe momentum alignment using:
CCI EMA
Augmented RSI signal line
Exits:
Optional G-Trend signal reversal exit.
Configurable stop-loss and take-profit levels, based on percentages.
Partial TP1-based exit, with dynamic stop-loss movement to entry upon trigger.
Customization:
Backtesting window control (start/end date).
Toggle for stop loss, take profit, TP1 percent, and SL trail logic.
Toggle to use or skip trend-based exit logic.
🎯 Use Case
This strategy is best suited for:
Swing traders or intraday trend-followers.
Users wanting layered confirmation rather than single-indicator entries.
Markets with clear institutional flows or trending behavior.
⚠️ Notes & Limitations
This strategy uses components from other publicly available indicators, including:
G-Trend
CCI Rider by Stefan Loosli
Ultimate RSI by LuxAlgo
All code has been integrated and adapted into a unified logic tree.
The strategy operates using historical price data and may not account for real-time slippage or fees.
Always forward test in live or paper environments before relying on performance.
Differential-Isaac-Newton
Description of the Differential-Isaac-Newton Indicator (DF-Newton)
This indicator plots custom Fibonacci levels on the chart using configurable multiples and offers various display options to assist with technical analysis.
What does it do?
Calculates and plots Fibonacci levels based on user-defined multiples (default multiple is 20).
Allows switching between long mode (buy) and short mode (sell) to adjust the levels accordingly.
Displays horizontal lines at Fibonacci levels with customizable colors and styles.
Shows labels with different information such as level price, Fibonacci percentage, and difference between levels.
Includes controls to show/hide different elements and customize the appearance.
How to use it?
Main Settings
Multiple of 2 for Fibonacci: Defines the percentage interval used to calculate Fibonacci levels (e.g., 20 creates levels at 0%, 20%, 40%, etc.).
Line Horizontal Offset: Defines the horizontal distance (in bars) of the Fibonacci line to improve visibility.
Short Mode: Enable to calculate levels based on a downward movement (from low to high).
Classic Mode: Changes the line colors to a classic Fibonacci color scheme (blue, green, yellow, orange, red).
Toggle Solid Line: Switches between solid and dotted lines for Fibonacci levels.
Labels
Choose which information to display on the labels next to the lines:
Show Only Level Prices: Displays only the Fibonacci level price.
Show Only Level Percentages: Displays only the Fibonacci percentage level.
Show Difference Values (Δ): Shows the difference between the current and previous level, along with the percentage (which can be hidden).
Hide Percentage in Difference Mode: Hides the percentage when difference mode is enabled.
Hide All Labels: Hides all labels from the chart.
Visual Customization
Label Size: Size of the label text (XS, S, M, L).
Label Horizontal Offset: Horizontal distance of labels relative to the lines.
Background Offset: Adjusts background color offset for better visibility.
Fibonacci Line Color: Color of the Fibonacci lines (when classic mode is off).
Label Text Color: Color of the label text.
Level Interpretation
Fibonacci levels are calculated between the highest high and lowest low of the last 100 candles.
The indicator plots horizontal lines at Fibonacci levels according to the selected multiple.
Line colors help identify important levels (configurable in classic mode).
Labels show the exact level price and Fibonacci percentage, helping with entry, exit, support, and resistance decisions.
Recommendations
Use Short Mode to analyze Fibonacci levels for sell trades.
Use Classic Mode for a traditional color scheme and easier identification.
Adjust Line Horizontal Offset to avoid overlapping current candles.
Combine price and percentage display for easier analysis.
Explore Difference Mode (Δ) to understand gaps between consecutive Fibonacci levels.
Practical Example
If you set the multiple to 20, the indicator will show levels at 0%, 20%, 40%, 60%, 80%, and 100%. Each level will have a horizontal line and a label showing the corresponding price and percentage, or the difference from the previous level, depending on your settings.
