Trend Buy/Sell Fibonacci Range - KLTThe Trend Buy/Sell Fibonacci Range – KLT indicator identifies bullish and bearish trends based on where the closing price is located within a Fibonacci range calculated from the last N candles (default is 10). Instead of analyzing individual candles, this tool takes a broader view of price action using Fibonacci retracement levels across a dynamic multi-candle range.
How It Works:
Range Calculation
The indicator calculates the highest high and lowest low over the last N candles to define the active price range (default: 10 bars).
Fibonacci Levels
Within this range, Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786) are dynamically computed. These levels act as internal thresholds to evaluate bullish or bearish pressure.
Trend Identification (via Close Position):
If the closing price is above the 0.618 level, it indicates strong buy pressure → the candle turns green and an upward triangle appears.
If the closing price is below the 0.382 level, it suggests strong sell pressure → the candle turns red and a downward triangle is displayed.
If the close lies between 0.382 and 0.618, the market is considered neutral, and the candle is gray.
Visual Elements:
Colored candles to immediately spot trend conditions.
Triangle signals (optional) for clear Buy/Sell markers.
Fibonacci level lines plotted on the chart for full context (can be toggled on/off).
Customization Options:
Lookback period (number of candles to calculate the range)
Fibonacci threshold levels (upper/lower)
Show/hide arrows and Fibonacci lines
Why Use This Indicator?
This tool is perfect for traders who want a simple visual method to assess trend strength based on price structure, not indicators derived from lagging moving averages. It offers:
Cleaner market structure analysis
Objective trend zones
Customizable sensitivity
Recommended Use:
Works well in conjunction with support/resistance zones, volume, or momentum indicators.
Applicable to any asset class or timeframe.
Credits:
Developed by KLT, combining structure-based logic with Fibonacci precision.
Trend Analizi
xGhozt Stoch RSI Consecutive Candles StrategyThis is a customizable strategy using the Stochastic RSI (Stoch RSI) to identify reversal points.
This strategy enters **Longs** when Stoch RSI's %K line is **below the `Lower Band` for `N` consecutive bars** (oversold confirmation), and **Shorts** when %K is **above the `Upper Band` for `N` consecutive bars** (overbought confirmation).
**Key Features:**
* **N-Bar Entry Confirmation:** Define how many consecutive bars Stoch RSI must spend in overbought/oversold zones before a trade is triggered, reducing false signals.
* **ATR-Based Risk Management:** Optional dynamic Stop Loss and Take Profit calculated using ATR.
* **Customizable:** Adjust Stoch RSI settings, bands, trade direction (longs/shorts), and signal reversal.
Custom Screener with Alerts @RAMLAKSHMANDASScan the Nifty 50 directly on TradingView!
This script provides a real-time screener for the top 40 Nifty 50 stocks ranked by current index weightage (starting from RELIANCE, HDFCBANK, ICICIBANK, etc.), offering rapid on-chart multi-symbol analysis.
Features
Multi-symbol screener: Monitors the leading 40 Nifty constituents (NSE equities) in one view.
Full indicator table: Get snapshot values for Price, RSI, TSI, ADX, and SuperTrend for every symbol.
Dynamic filtering: Instantly filter results by any indicator value (e.g., highlight all stocks with RSI below 30).
Customizable symbols: Easily edit the symbol list to match updated Nifty composition or your stocks of interest.
Multi-timeframe support: Table values will update for any chosen chart timeframe.
Real-time alerts: Set up alerts for filtered stocks matching your strategy.
High Win Rate Trader by iambuoyant# High Win Rate Trader by iambuoyant - Complete Guide
## Introduction
The "High Win Rate Trader by iambuoyant" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
## Core Philosophy
This indicator operates on the principle that **multiple confirming factors create higher probability trades**. Instead of relying on a single indicator, it combines trend analysis, momentum oscillators, volume confirmation, market structure, and mathematical levels to identify optimal entry points. The more confluence factors that align, the stronger the trading signal.
## Strategies and Confluence Factors
### 1. Trend Analysis
**Purpose**: Establishes the overall market direction to ensure trades align with momentum.
**Components**:
- **Fast EMA (Default: 9)**: Short-term trend detection
- **Slow EMA (Default: 21)**: Medium-term trend confirmation
- **Trend EMA (Default: 50)**: Long-term trend establishment
**How it works**:
- **Bullish Trend**: Fast EMA > Slow EMA > Trend EMA
- **Bearish Trend**: Fast EMA < Slow EMA < Trend EMA
- Signals are filtered to only trigger in the direction of the established trend
**Default Settings**:
- Fast EMA Period: 9
- Slow EMA Period: 21
- Trend EMA Period: 50
### 2. Oscillator Confirmation
**Purpose**: Identifies overbought/oversold conditions and momentum shifts.
#### RSI (Relative Strength Index)
- **Period (Default: 14)**: Standard RSI calculation period
- **Overbought Level (Default: 70)**: RSI level considered overbought
- **Oversold Level (Default: 30)**: RSI level considered oversold
**How it works**:
- **Bullish**: RSI < 40 and turning upward (oversold recovery)
- **Bearish**: RSI > 60 and turning downward (overbought rejection)
#### Stochastic Oscillator
- **K Period (Default: 14)**: Stochastic %K calculation period
- **D Period (Default: 3)**: Stochastic %D smoothing period
- **Overbought Level (Default: 80)**: Stochastic overbought threshold
- **Oversold Level (Default: 20)**: Stochastic oversold threshold
**How it works**:
- **Bullish**: %K < 30 and (%K turning up OR %K > %D)
- **Bearish**: %K > 70 and (%K turning down OR %K < %D)
### 3. MACD (Moving Average Convergence Divergence)
**Purpose**: Confirms momentum shifts and trend changes.
**Components**:
- **Fast Period (Default: 12)**: Fast EMA for MACD calculation
- **Slow Period (Default: 26)**: Slow EMA for MACD calculation
- **Signal Period (Default: 9)**: Signal line smoothing period
**How it works**:
- **Bullish**: MACD line > Signal line OR (MACD rising AND histogram increasing)
- **Bearish**: MACD line < Signal line OR (MACD falling AND histogram decreasing)
### 4. Volume Analysis
**Purpose**: Confirms price moves with volume conviction.
**Components**:
- **Volume MA Period (Default: 20)**: Period for volume moving average
- **Volume Multiplier (Default: 1.5)**: Volume threshold multiplier
**How it works**:
- **Bullish**: Current volume > (Volume MA × 1.5)
- **Bearish**: Current volume > (Volume MA × 1.5)
### 5. Market Structure and Volatility
#### Support and Resistance Levels
- **Pivot Length (Default: 10)**: Period for pivot high/low detection
- **Dynamic Levels**: Automatically identifies recent swing highs and lows
- **Proximity Check**: Ensures trades aren't initiated too close to S/R levels
#### ATR (Average True Range)
- **ATR Period (Default: 14)**: Volatility measurement period
- **ATR Multiplier (Default: 2.0)**: Stop loss distance multiplier
- **Volatility Filter (Default: 50.0%)**: Maximum allowed volatility percentage
**How it works**:
- Calculates market volatility using ATR
- Prevents trades in excessively volatile conditions
- Helps determine dynamic stop loss levels
### 6. Fibonacci Retracements
**Purpose**: Identifies key mathematical support/resistance levels.
**Components**:
- **Lookback Period (Default: 50)**: Period for swing high/low calculation
- **Tolerance (Default: 2.0%)**: Price proximity tolerance to Fib levels
**Key Levels**: 23.6%, 38.2%, 50%, 61.8%, 78.6%
**How it works**:
- **Bullish**: Price near 38.2%, 50%, or 61.8% retracement levels in uptrend
- **Bearish**: Price near 38.2%, 50%, or 61.8% retracement levels in downtrend
### 7. Risk Management
#### Risk:Reward Ratio
- **Minimum RR Ratio (Default: 1.0)**: Minimum acceptable risk:reward ratio
- **Dynamic Calculation**: Based on support/resistance levels and ATR
#### Dynamic Stop Loss
- **ATR-based**: Stop loss = Entry ± (ATR × 1.5)
- **S/R-based**: Uses nearby support/resistance levels when available
### 8. Signal Confirmation
**Confirmation Bars (Default: 0)**:
- **0**: Immediate signals (recommended for testing)
- **1+**: Delayed confirmation for reduced false signals
## How to Use the Indicator
### Step 1: Initial Setup
1. **Add to Chart**: Apply the "High Win Rate Trader by iambuoyant" indicator to your desired chart in TradingView
2. **Verify Display**: Ensure you can see the indicator plots and debug pane below the main chart
### Step 2: Understanding the Signals
#### Visual Elements:
- **Green Triangles (Buy)**: Appear below price bars for long entry signals
- **Red Triangles (Sell)**: Appear above price bars for short entry signals
- **Labels**: Show "BUY" or "SELL" with current RSI value
- **EMA Lines**: Blue (Fast), Orange (Slow), Gray (Trend) - visible when enabled
#### Signal Types:
- **Flash Signals**: Immediate signals when conditions are first met
- **Confirmed Signals**: Signals that have passed confirmation criteria
### Step 3: Debugging and Optimization
#### Access Debug Features:
1. Click the gear icon next to the indicator name
2. Navigate to "Signal Components (Debugging)" section
3. All confluence factors start **disabled** by default
#### Initial Testing Process:
1. **Start Simple**: Keep all "Enable X Condition" toggles **OFF**
2. **Enable Basic**: Turn on "Enable RSI Condition" first
3. **Observe Signals**: Check if buy/sell signals appear
4. **Gradual Addition**: Enable one condition at a time
5. **Monitor Debug Plots**: Watch the colored crosses in the lower pane
#### Debug Plot Interpretation:
- **Green Crosses (Value 1)**: Bullish conditions met
- **Red Crosses (Value 2)**: Bearish conditions met
- **No Cross**: Condition not met
- **"Debug: Final Long/Short Signal"**: Combined signal output
### Step 4: Fine-tuning Parameters
#### If Signals Are Too Rare:
1. **Reduce Thresholds**: Lower RSI overbought/oversold levels
2. **Relax Filters**: Increase volatility filter percentage
3. **Adjust Timeframes**: Modify EMA periods for your trading style
4. **Disable Strict Conditions**: Turn off conditions that are too restrictive
#### If Signals Are Too Frequent:
1. **Increase Thresholds**: Raise RSI levels
2. **Add Filters**: Enable more confluence conditions
3. **Stricter Confirmation**: Increase confirmation bars
4. **Higher RR Ratio**: Increase minimum risk:reward requirement
### Step 5: Display Configuration
#### Display Options:
- **Show Buy/Sell Labels**: Toggle signal labels on/off
- **Show Support/Resistance**: Toggle S/R level lines
- **Show Trend EMAs**: Toggle EMA trend lines
### Step 6: Setting Up Alerts
#### Alert Conditions:
- **"Confirmed Buy Signal"**: Triggers on confirmed long entries
- **"Confirmed Sell Signal"**: Triggers on confirmed short entries
#### Alert Message Format:
- Buy: "BUY - RSI: , Price: "
- Sell: "SELL - RSI: , Price: "
## Recommended Settings by Market Type
### Trending Markets:
- Enable: Trend Alignment, RSI, MACD
- Disable: Volume (optional)
- Confirmation Bars: 1-2
### Ranging Markets:
- Enable: RSI, Stochastic, Support/Resistance
- Disable: Trend Alignment
- Confirmation Bars: 0
### Volatile Markets:
- Enable: Volatility Filter, ATR-based stops
- Reduce: RSI thresholds (60/40 instead of 70/30)
- Increase: Confirmation bars to 2-3
## Troubleshooting
### No Signals Appearing:
1. Check if any "Enable X Condition" is turned ON
2. Verify debug plots show activity
3. Reduce parameter thresholds
4. Check if market conditions match your settings
### Too Many False Signals:
1. Enable more confluence conditions
2. Increase confirmation bars
3. Adjust RSI/Stochastic thresholds
4. Enable volatility filter
### Signals Not Aligning with Price Action:
1. Check trend alignment settings
2. Verify EMA periods match your timeframe
3. Adjust Fibonacci lookback period
4. Review support/resistance proximity settings
## Best Practices
1. **Start Conservative**: Begin with fewer confluence factors and gradually add more
2. **Test Thoroughly**: Use demo accounts to test parameter combinations
3. **Monitor Debug Plots**: Regularly check which conditions are failing
4. **Adapt to Market**: Adjust settings based on current market conditions
5. **Use Multiple Timeframes**: Consider higher timeframe trend direction
6. **Risk Management**: Always use proper position sizing and stop losses
## Default Settings Summary
### Trend Analysis:
- Fast EMA: 9
- Slow EMA: 21
- Trend EMA: 50
### Oscillators:
- RSI Period: 14, Overbought: 70, Oversold: 30
- Stochastic K: 14, D: 3, Overbought: 80, Oversold: 20
### MACD:
- Fast: 12, Slow: 26, Signal: 9
### Volume:
- MA Period: 20, Multiplier: 1.5
### Market Structure:
- ATR Period: 14, Multiplier: 2.0
- Volatility Filter: 50.0%
- Pivot Length: 10
### Fibonacci:
- Lookback: 50, Tolerance: 2.0%
### Signal Quality:
- Confirmation Bars: 0
- Min RR Ratio: 1.0
### Display:
- Show Labels: ON
- Show S/R: ON
- Show Trend: ON
### Debug (All Disabled by Default):
- Enable RSI: OFF
- Enable Stochastic: OFF
- Enable MACD: OFF
- Enable Price Structure: OFF
- Enable Trend Alignment: OFF
- Enable Volume: OFF
- Enable Fibonacci: OFF
- Enable Risk:Reward: OFF
- Enable Volatility: OFF
TradeGlixAuto Support & Resistance, EMA Based Trading Supported. Bullish and Bearish Candle color. etc
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
📊 TickerTrendz - TradeScopeWhat This Indicator Does — In Plain English
This indicator helps you understand how much the market might move today and tomorrow, so you can trade smarter.
Here’s how it works:
Today’s Expected Range (Intraday ATR Projection):
It measures how much the market typically moves in a day (called ATR).
Starting from when the overnight Globex session opens at 5 PM CST, it draws lines showing 20%, 60%, and 100% of that typical daily movement above and below today’s session open price.
It also tells you, in real time, how far price has moved relative to that typical range, shown as a percentage. For example, “You’re 60% through today’s expected move.”
This helps you see if the market is calm, just starting to move, or already reaching typical daily highs or lows.
Tomorrow’s Volatility Forecast:
Using yesterday’s price moves, yesterday’s daily volatility, and average market volatility, it predicts how volatile the market might be tomorrow.
It colors the forecast to show if tomorrow is likely to be a normal day (green), a high volatility day (orange), or an extreme volatility day (red).
This gives you a heads-up if you should expect big moves or more calm trading the next day.
All Info in One Place:
Instead of cluttering your chart with many labels, all this info is neatly shown in a box on the top-right corner of your chart.
You get a quick snapshot of both today’s progress and tomorrow’s volatility forecast without distraction.
Why It Helps You
Manage your trades better: Knowing how much the market tends to move helps you place smarter stops and targets.
Prepare for volatility spikes: You’ll get a warning before big moves so you can adjust your trading style or risk.
Stay aware intraday: See if the market is already “done moving” for the day or if there’s still room for big swings.
Days Since ±1% Move on CloseInterpretation & Use‑Case
The “Days Since ±1% Move” indicator simply tells you how many trading days have passed since the last daily close that moved at least 1% in either direction. Here’s how to put it to work:
Complacency Gauge
A long stretch without a ≥1% move often signals that realized volatility has collapsed and market participants may be under‑positioned for a sudden swing.
Positioning Insight
When institutional hedges and systematic strategies see low recent volatility, they tend to scale back protection (fewer options hedges, tighter risk limits), which can amplify the impact of any eventual volatility pickup.
Mean‑Reversion Signal
After an extended streak (e.g. 20–30 days), a fresh ≥1% move is more likely—and often more violent—because pent‑up positioning flows rush to adjust.
Trend Confirmation
Conversely, a reset in the count (i.e., a new ≥1% move) that coincides with strong volume and follow‑through suggests genuine directional conviction rather than just a volatility “blip.”
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope):
A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance.
EMA Levels:
Includes three key exponential moving averages:
EMA 50 (short-term trend)
EMA 100 (medium-term)
EMA 200 (long-term, institutional level)
Fully Scrollable and Responsive:
All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally.
🧠 Ideal Use:
Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion.
Combine WTB and NW Envelope for confluence-based entries.
Use EMA structure for trend confirmation or breakout anticipation.
Let me know if you'd like to add:
Divergence detection
Buy/Sell signals
Alerts or signal filtering options
I’ll be happy to extend the description or the script accordingly!
PRO Investing - Quant AlphaCentauri D |XLF|PRO Investing - Quant AlphaCentauri D |XLF|
1. Summary and Core Concept
This is a quantitative backtesting strategy engineered specifically for the Financial Select Sector SPDR Fund (XLF) on the Daily (1D) timeframe. The name "AlphaCentauri" reflects its goal: to seek alpha by identifying statistically significant opportunities through rigorous time series analysis.
The strategy's core principle is to move beyond conventional technical indicators and instead analyze the underlying structure and character of price data. It is designed to methodically identify conditions that have historically preceded sustained directional trends in the financial sector.
2. The Analytical Process: How It Works
This strategy employs a multi-stage quantitative process to filter for high-probability setups. It is a "mashup" of statistical concepts applied to price action.
Structural Pattern Recognition: The engine's primary function is to analyze the historical price series of XLF to identify specific, recurring structural patterns. It examines price geometry and cyclical behavior to find formations that often act as the foundation for a new, emerging trend.
Signal Execution: A signal to enter a trade is only generated when the findings from both the structural analysis and the validation stages are in agreement. This disciplined, multi-layered approach ensures the strategy remains flat during periods of high uncertainty and only engages when its quantitative criteria are fully met.
3. How to Use This Strategy
Timeframe: This strategy has been designed, tested, and optimized exclusively for the Daily (1D) timeframe on the XLF ticker. Its logic is not intended for other timeframes or assets and may produce unreliable results if used differently.
On-Chart Signals: The strategy's operation is transparent. It plots all historical buy and sell entries, along with their corresponding exits, directly on the chart for easy performance review and analysis.
4. Risk Management: The Strategy's Foundation
This strategy is built upon a foundation of strict, non-negotiable risk management, which is reflected in its code and backtesting parameters. This design complies with TradingView's guidelines for publishing realistic and responsible strategies.
Dynamic Stop-Loss and Position Sizing: A stop-loss is dynamically calculated for each trade based on recent market volatility. The strategy then automatically adjusts the position size for that trade to target a defined risk percentage. In cases of extreme market volatility, the maximum potential loss on a single trade may approach, but is designed not to exceed, 5% of total account equity. Under normal market conditions, the risk for most trades will be below this maximum threshold.
Realistic Backtesting Parameters:
Initial Capital: The backtest defaults to an initial capital of $100,000.
Commission: A realistic fee of $5.00 per order is included to simulate broker costs.
5. Disclaimer
This strategy is an educational tool provided for informational and research purposes. It is not financial advice. All trading carries a high level of risk, and past performance is not a guarantee of future results. You are solely responsible for your own trading decisions and risk management. Always conduct your own due diligence before deploying any trading strategy in a live account.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
signBTC Day&Session BoxesThis indicator visually segments the trading week on your chart, drawing each day from 17:00 to 17:00 New York time (corresponding to the typical forex daily rollover). For enhanced session structure, every day is further divided into three major trading sessions:
Asian Session
London Session
New York Session
Additionally, the indicator automatically marks the opening time of each new day at 17:00 (New York time) directly on the chart, helping traders quickly identify daily cycles and session transitions.
Customization Features
Adjustable Session Times: Users can modify the start and end times for each session (Asian, London, New York) to match personal or institutional trading hours.
Flexible Day Boundaries: The time marking the start and end of each day (default: 17:00 NY) can also be adjusted according to preference or asset specifics.
Opening Time Marker: The feature for drawing the daily opening time can be enabled or disabled in the settings.
This tool is ideal for traders needing clear visual cues for session boundaries and daily market resets, especially those operating across multiple time zones or managing strategies dependent on session-specific behavior. All settings are conveniently accessible and fully customizable within the indicator’s parameter panel.
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities.
### Key Features
1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction:
- **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish.
- **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish.
- **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish.
- **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish.
- **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish.
2. **Dual Timeframe Comparison**:
- Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily).
- Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions.
3. **Visual Signals**:
- **Arrows on Chart**:
- **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment.
- **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment.
- Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential.
4. **Condition Table**:
- Displays a table in the top-right corner with two rows:
- **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC).
- **Bottom Row**: Higher timeframe conditions (labeled with "HTF").
- Each cell is color-coded: green for bullish, red for bearish.
- The table can be toggled on/off via input settings.
5. **User Input**:
- **Show Condition Boxes**: Toggle the table display (default: on).
- **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting).
### How It Works
- The indicator evaluates the five conditions on both timeframes.
- When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend.
- The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance.
### Use Case
- **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes.
- **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes.
- **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups.
### Settings
- Access the indicator settings in TradingView to:
- Enable/disable the condition table.
- Select a higher timeframe (e.g., 4H, D, W) for comparison.
### Notes
- Best used in trending markets; may produce fewer signals in choppy conditions.
- Combine with other analysis (e.g., support/resistance) for better decision-making.
- The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align.
This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Order Block + Liquidity Sniper by TradingNexus🧠 Order Block + Liquidity Sniper by TradingNexus
📌 How the Indicator Works – Explanation of Visual Elements
🔺 Triangles – Liquidity Sniper Signals
Green triangle below candle (▲): This is a Bullish Liquidity Sniper Signal. It indicates that price swept liquidity below a Swing Low, triggering stop-losses, and then returned back above a bullish Order Block zone. This suggests potential institutional buying interest and could mark a strong buy opportunity.
Red triangle above candle (▼): This is a Bearish Liquidity Sniper Signal. It shows that price swept above a Swing High to collect liquidity and then returned below a bearish Order Block zone. This implies possible institutional selling after a liquidity hunt and may signal a short entry.
🟢 Circles – Order Block Zones
Green circle (●): Represents a Bullish Order Block area – typically the last bearish candle before a strong bullish move. Price returning to this zone may react due to renewed institutional buying.
Red circle (●): Marks a Bearish Order Block – the last bullish candle before a strong bearish move. These zones may act as resistance when price revisits.
✖️ Crosses – Liquidity Zones
Purple cross (+): Identifies a Swing High liquidity level – a short-term high where many stop-loss orders are likely clustered.
Orange cross (+): Marks a Swing Low liquidity zone – a key area where stop orders from long positions may reside.
This indicator seeks precise institutional-style entries by detecting when price:
Sweeps liquidity at a recent swing high or low;
Then reacts from a valid Order Block zone.
The triangle markers highlight potential Sniper entries, while circles and crosses help visualize the key zones that underpin these moves.
Use this tool to improve timing, context, and confidence in your trades – especially when combining with SMC or price action frameworks.
Built by TradingNexus – designed for price action traders who use Smart Money Concepts (SMC).
Kairos BarakahTrade with precision during high-probability windows using this advanced Pine Script indicator, designed specifically for Indian Standard Time (IST). The tool identifies key reversal opportunities within a user-defined trading session, combining time-based reference levels, sequence-validated signals, and multi-factor win probability analysis for confident decision-making.
Key Features
1. Time-Based Reference Levels
Automatically sets high/low reference levels at a customizable start time (default: 19:00 IST).
Active trading window with adjustable duration (default: 135 minutes).
Clear visual reference lines for easy tracking.
2. Intelligent Signal Generation
Initial Signals:
Buy (B): Triggered when price closes above the reference high.
Sell (S): Triggered when price closes below the reference low.
Reversal Signals (R):
Valid only after an initial signal, ensuring proper sequence.
Buy Reversal: Price closes above reference high (after a Sell signal).
Sell Reversal: Price closes below reference low (after a Buy signal).
3. Multi-Dimensional Win Probability
Body Strength: Measures candle conviction (body size / total range).
Volume Confirmation: Compares current volume to 20-period average.
Trend Alignment: Uses EMA crosses (9/21) and RSI (14) for momentum.
Composite Score: Weighted blend of all factors, color-coded for quick interpretation:
🟢 >70%: High-confidence signal.
🟠 40-69%: Moderate confidence.
🔴 <40%: Weak signal.
4. Professional Visualization
Clean labels (B/S/R) at signal points.
Real-time reference table showing levels, active signal, and probabilities.
Customizable alerts for all signal types.
Why Use This Indicator?
IST-Optimized: Tailored for Indian market hours.
Rules-Based Reversals: Avoids false signals with strict sequence checks.
Data-Driven Confidence: Win probability metrics reduce guesswork.
Flexible Setup: Adjust time windows and parameters to fit your strategy.
SMC Core Concepts TradingNexus (BOS, CHoCH, FVG, OB) - Stage 1🔍 SMC Core Concepts TradingNexus – Stage 1 (BOS, CHoCH, FVG, OB)
Smart Money Concepts made visual and accessible.
This indicator helps traders identify key institutional structures such as Break of Structure (BOS), Change of Character (CHoCH), Fair Value Gaps (FVG), and Order Blocks (OB) – all automatically detected and visualized on the chart.
✅ Features in Stage 1:
🔹 BOS Detection – Detects bullish and bearish structure breaks based on swing points
🔹 CHoCH Identification – Spots potential change of character after a trend
🔹 Fair Value Gap Zones – Highlights imbalances between candles
🔹 Order Block Zones – Detects key OB zones before strong price moves
🔹 Smart Auto-Cleanup – Automatically removes old boxes to optimize performance
🔹 User Inputs – Configure swing sensitivity and toggle each feature
🧠 Built for Traders Seeking Clarity
This script is ideal for SMC traders who want clear structure-based setups without drawing everything manually. Designed for both scalpers and swing traders who follow institutional logic.
🚀 Stage 2 (Coming Soon):
Liquidity zones (EQH/EQL)
Internal vs. external BOS
Mitigation blocks
Bias detection
Buy/Sell signal system
Smart SL/TP zones
Alerts system
👤 Created by TradingNexus
💬 Open-source & community-driven. Feel free to fork, contribute, or suggest improvements.
Monday Swing Box - Enhanced# Monday Swing Box Enhanced Indicator - Trading Applications
This "Monday Swing Box" indicator can be very useful in trading for several strategic reasons:
## 1. **"Monday Effect" Analysis**
* **Concept**: Mondays often have particular characteristics in the markets (opening gaps, weekend catch-up, different volumes)
* **Utility**: Allows visualization and quantification of these Monday-specific movements
* **Application**: Helps identify recurring patterns in your strategy
## 2. **Relative Volatility Measurement with ATR**
* **The ATR percentage tells you**:
* **< 50%**: Low volatility Monday (possible consolidation)
* **50-100%**: Normal volatility
* **> 100%**: Very volatile Monday (important event, potential breakout)
* **Advantage**: Contextualizes the movement relative to historical volatility
## 3. **Practical Trading Applications**
### **For Day Trading**:
* **Entry**: A Monday with >150% ATR may signal a strong movement to follow
* **Stop Loss**: Adjust stop sizes according to Monday's volatility
* **Targets**: Calibrate targets according to the movement's magnitude
### **For Swing Trading**:
* **Support/Resistance**: Monday's high/low often become key levels
* **Breakout**: Breaking above/below Monday's box may signal continuation
* **Retracement**: Return to Monday's box = support/resistance zone
### **For Risk Management**:
* **Sizing**: Adapt position sizes according to measured volatility
* **Timing**: Avoid trading abnormally volatile Mondays if you prefer stability
## 4. **Specific Possible Strategies**
### **"Monday Breakout"**:
* Wait for a break above/below Monday's box
* Enter in the direction of the breakout
* Stop at the other end of the box
### **"Monday Reversal"**:
* If Monday shows >200% ATR, look for a reversal
* The box becomes a resistance/support zone
### **"Monday Range"**:
* Trade bounces off the box limits
* Particularly effective if ATR % is normal (50-100%)
## 5. **Visualization Advantages**
* **Historical**: See past patterns across multiple Mondays
* **Comparison**: Compare current volatility to previous Mondays
* **Anticipation**: Prepare your strategy according to the type of Monday observed
## 6. **Limitations to Consider**
* Monday patterns can vary according to markets and periods
* Don't trade solely on this indicator, but use it as a complement
* Consider macroeconomic context and news
This indicator is therefore particularly useful for traders who want to exploit Monday's specificities and have an objective measure of this day's relative volatility compared to normal market conditions.
QTR Sector Fund Performance vs SPY - by LMAnalyzes various market sectors and compares the last several quarters to the performance of the SPY. The goal is to seek out the sectors that have underperformed for several quarters in the hopes that they would overperform in the next quarter.
Dynamic Structure Overlay [AlgoXcalibur]Dynamic Structure Overlay combines an ultra-dynamic Ribbon, adaptive supply/demand Zones, and a versatile momentum-based Cloud to paint a stunning picture of market structure. Whether you're riding strong trends or patiently analyzing consolidation, this tool helps visualize factors that influence trend direction and price movement.
📊 Indicator Components and Functions
This indicator integrates three core elements to provide an intuitive analysis of trend and market structure. Each component can be independently enabled or disabled to suit your preferences.
• Dynamic Ribbon
At the center of attention is the Dynamic Ribbon, which uses multi-layered moving averages rendered as a flowing ribbon with adaptive color gradients. It reacts to price action in real time, revealing trend direction, strength, and periods of expansion or compression.
• Dynamic Zones
These volume-weighted supply and demand zones are derived from price-to-volume deviations relative to VWAP. These zones often guide price action during strong trends.
• Dynamic Cloud
A unique momentum-based structure derived from dynamic price ranges by averaging the highs and lows from recent price action. The Cloud captures momentum strength and directional pressure, providing a visual guide to trend continuations and transitions.
Together, these components form a comprehensive overlay that adapts in real time to changing market conditions.
🚀 Ride the Trend
Dynamic Structure Overlay is a multi-dimensional tool — its framework helps visualize dynamic factors that often influence price action, assisting traders in staying aligned with the evolving trend.
ICC Logic📌 ICC Logic — Market Structure Price Action Tool
ICC Logic is a closed-source indicator designed to help traders visualize and act on a structured three-phase price action model inspired by widely practiced market structure trading concepts. The tool automatically identifies key structural shifts, tracks correction zones, and projects continuation entries — all based purely on price action, with no use of oscillators or traditional indicators.
🧠 Framework Overview
The tool follows a three-phase logic structure:
1. Indication
A break of a recent structural high (for bullish) or low (for bearish) suggests a potential directional shift or intent to trend.
2. Correction
Once the break occurs, the tool tracks the market’s pullback phase and identifies the corrective low (for bullish) or high (for bearish), establishing a risk zone.
3. Continuation
A second move through the original structural break level confirms directional continuation, triggering a simulated entry with a predefined stop loss and take profit.
🔍 Key Features
✅ Pivot-based structure tracking using customizable left/right settings
📈 Auto-calculated entry, SL, and TP levels
🎯 Fixed 2:1 risk/reward ratio using actual risk-distance math
📐 Anchored break level lines drawn from original pivot formation
⚡ Instant bias reversal logic when a stop is hit (e.g., bullish > bearish)
🕒 Session filter for limiting signals to a specific time window (default: NY session)
🧠 Optional smart timeframe adjustment that adapts pivot depth for consistency across chart timeframes
🌐 Market-specific precision for Forex (pips), Futures (ticks), and Crypto (decimals)
🖼️ Clean, toggleable visuals for minimal chart clutter
⚙️ Inputs
Pivot Sensitivity – Defines how swing points are detected
SL Buffer – Adds space beyond correction point (pip/tick-based)
Session Filter – Restrict signals to active market hours
Auto Pivot Adjustment – Dynamically adjust based on timeframe
Visual Toggles – Show/hide entry arrows, levels, zones, and more
🚨 Alerts
When a structure-based setup is detected, an alert is triggered containing:
Direction (Buy or Sell)
Entry price
Stop loss and take profit levels
Alerts are provided for educational or manual use only and are not intended for automated trading execution.
⚠️ Disclaimer
This script is for educational and illustrative purposes only. It does not offer financial advice or guarantee performance. All trade decisions are solely the user’s responsibility. Always test thoroughly before using any tool in live markets.
✅ Summary
ICC Logic is a pure price action utility designed to help structure-based traders confidently identify and engage with momentum continuation setups. By automating the identification of key structure breaks, corrections, and calculated trade levels, this tool reinforces patience, precision, and consistency — the foundation of good trading.
