HEIKEN ASHI MULTI + ADXDescription:
This custom indicator combines multiple Heiken Ashi blocks and ADX (Average Directional Index) to provide a comprehensive market analysis tool within a single time frame. It is designed to assist traders in identifying potential buy and sell signals based on Heiken Ashi trends and trend strength.
Key Features:
Multiple Heiken Ashi Blocks:
1-Minute Heiken Ashi: Displays trends in a very short time frame, ideal for scalping strategies.
5-Minute Heiken Ashi: Offers a balanced view for day traders looking for medium-term trends.
15-Minute Heiken Ashi: Provides insights into slightly longer-term trends, helping to confirm signals from shorter time frames.
ADX Functionality:
The ADX line measures the strength of the trend. It helps traders identify whether the market is trending or ranging.
Configurable settings for the ADX period and threshold allow users to tailor this tool to their specific trading style.
Customizable Appearance:
Users can customize the visibility of the Heiken Ashi blocks and ADX plot.
Dot thickness and colors can be adjusted to fit user preferences visually.
Signal Alerts:
Provides alerts when all indicators align (green for buy, red for sell), ensuring traders don't miss significant market opportunities.
Alerts are triggered only on changes to prevent repetitive notifications.
Usage:
Use this indicator for day trading, scalping, or even swing trading strategies by analyzing multiple time frames concurrently.
Customize the settings to suit your trading style for the best results.
How to Use:
Add the indicator to your chart on TradingView.
Configure the settings according to your trading preferences.
Monitor the signals generated by the alignment of the Heiken Ashi blocks and ADX.
Set alerts to be notified of potential trading opportunities based on the indicator's signals.
This indicator is perfect for traders looking for a consolidated view of market trends with a focus on Heiken Ashi candlesticks and trend strength.
Disclaimer:
This indicator is for educational purposes only and should not be construed as financial advice. Always conduct your own research before making trading decisions.
Oscillatori
Pivot Extension Indicator (Jaxon0007)Pivot Extension Indicator (Jaxon0007)
This indicator automatically detects pivot highs and lows, then extends those levels forward as potential support and resistance zones. It's designed for traders who rely on price action, breakout setups, and clear structure in the market.
.
🔧 Key Features:
✅ Auto-detected pivot levels (highs & lows)
✅ Forward-projected SR lines with customizable length
✅ Real-time buy/sell signal alerts on pivot breakouts
✅ Optional RSI and MACD filters to confirm trade quality
✅ Clean chart visuals with full styling control (lines, width, style)
🧠 Best For:
Traders who follow breakouts, trends, or swing strategies
Those looking for a non-repainting indicator
Anyone who wants a clean way to visualize structure and key price zones
📌 Notes:
This is an indicator-only tool — it doesn't execute trades or track performance.
Built in Pine Script v5 and fully copyright-free.
💼 Created by @Jaxon0007
For VIP signals, private tools, or account management — DM me on Telegram.
Relative Weighted Rate of Change (WROC) vs Nifty 50Relative Weighted Rate of Change (WROC) vs Nifty 50
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide
## Overview
The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments.
## How It Works
The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that:
- **High values (80+)** = Narrow channels = Low volatility = Squeeze
- **Low values (20-)** = Wide channels = High volatility = Expansion
## Key Parameters
### Core Settings
- **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels
- **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator
- **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100
### Threshold Levels
- **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions
- **Over Expansion (20)**: Values below this level indicate strong expansion conditions
## Reading the Indicator
### Color Coding
- **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating
- **Orange Line**: Neutral/trending condition with upward momentum
- **Green Line**: Expansion condition or downward momentum
### Visual Elements
- **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone
- **Gray Dotted Line (50)**: Middle line - neutral zone
- **Green Dashed Line (20)**: Expansion threshold - high volatility zone
- **Red Background**: Highlights active squeeze periods
## Trading Applications
### 1. Breakout Trading
- **Setup**: Wait for DSO to reach 80+ (squeeze zone)
- **Entry**: Look for breakouts when DSO starts declining from squeeze levels
- **Logic**: Prolonged low volatility often precedes significant price movements
### 2. Volatility Cycle Trading
- **Squeeze Phase**: DSO > 80 - Prepare for potential breakout
- **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout
- **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal
### 3. Trend Confirmation
- **Orange Color**: Suggests bullish momentum during expansion
- **Green Color**: Suggests bearish momentum or consolidation
- Use in conjunction with price action for trend confirmation
## Best Practices
### Timeframe Selection
- **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts
- **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise
- **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF
### Parameter Optimization
- **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10)
- **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity
- **Trending Markets**: Use longer normalization lookback (300-400)
### Signal Confirmation
Always combine DSO signals with:
- **Price Action**: Support/resistance levels, chart patterns
- **Volume**: Confirm breakouts with increasing volume
- **Other Indicators**: RSI, MACD, or momentum oscillators
## Alert System
The indicator includes built-in alerts for:
- **Squeeze Started**: When DSO crosses above the squeeze threshold
- **Expansion Started**: When DSO crosses below the expansion threshold
## Common Pitfalls to Avoid
1. **False Breakouts**: Don't trade every squeeze - wait for confirmation
2. **Parameter Over-optimization**: Stick to default settings initially
3. **Ignoring Market Context**: Consider overall market conditions and news
4. **Single Indicator Reliance**: Always use additional confirmation tools
## Advanced Tips
- Monitor squeeze duration - longer squeezes often lead to bigger moves
- Look for squeeze patterns at key support/resistance levels
- Use DSO divergences with price for potential reversal signals
- Combine with Bollinger Band squeezes for enhanced accuracy
## Conclusion
The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
Ninja Indicator, Crypto, Forex, IndicesIndicator Description:
It is the version 2.0 of Ninja Entry Indicator. It has all the features of Ninja, added new POI support/resistance feature.
If it takes support from POI and on retest you can take long entry.
If it takes resistance from POI and on retest you can take short side entry.
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview)
1. Introduction
The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts.
This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits.
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2. Core Concepts Behind the Tool
A. Inside Candle Pattern
An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low.
• This means the entire price action of the current candle is "inside" the range of the previous candle.
• A bullish inside candle occurs when the close is higher than the open.
• A bearish inside candle occurs when the close is lower than the open.
This pattern shows market indecision but also sets up potential breakouts or trend reversals.
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B. RSI (Relative Strength Index)
The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market.
• A low RSI (below 25) signals an oversold zone → possible buy.
• A high RSI (above 75) signals an overbought zone → possible sell.
By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other.
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C. Buy & Sell Signals
• Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms.
• Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms.
When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard.
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D. VWAP (Volume Weighted Average Price)
VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume.
• VWAP shows the average trading price weighted by volume, widely used by institutions.
• The tool calculates the distance of price from VWAP in % terms.
• If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold).
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E. Volume Analysis
The tool splits volume into Buy Volume and Sell Volume:
• Buy Volume: If close > open.
• Sell Volume: If close ≤ open.
• Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish.
• A progress bar style visual (using blocks █) shows the dominance of buyers or sellers.
This allows traders to quickly measure whether buyers or sellers are controlling the market trend.
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F. Daily Pivot Points
Pivot Points are calculated using the previous day’s high, low, and close:
• Pivot = (High + Low + Close) / 3
• R1, S1, R2, S2, R3, S3 levels are derived from this pivot.
• These levels act as support and resistance zones.
The script plots Pivot, R1, and S1 lines on the chart for easy reference.
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G. Trend Direction
The indicator checks where the price is compared to R1 and S1:
• If price > R1 → Bullish Trend
• If price < S1 → Bearish Trend
• Otherwise → Neutral Trend
The trend direction is displayed in the dashboard with arrows (↑, ↓, →).
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H. Price Change Calculation
The tool calculates:
• Price Change = Current Close – Previous Close
• Percentage Change = (Change / Previous Close) × 100
• Displays ▲ (green upward) or ▼ (red downward) with the exact percentage.
This gives traders a quick snapshot of intraday price movement.
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I. Dashboard Table
One of the most powerful features is the real-time dashboard table shown on the chart. It contains:
1. Symbol & Price Info (Current ticker, price, change %)
2. RSI Reading (with color coding: green for oversold, red for overbought)
3. VWAP and Distance from VWAP
4. Volume Analysis with Progress Bar (Buy vs Sell %)
5. Pivot Levels (Pivot, R1, S1)
6. Trend Direction (Bullish, Bearish, Neutral)
7. Signal Status (Last Buy/Sell signal with entry price)
This reduces the need for multiple indicators and gives traders a command-center view directly on the chart.
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J. Alerts
The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when:
• Buy Signal Alert → RSI oversold + Bullish inside candle
• Sell Signal Alert → RSI overbought + Bearish inside candle
This ensures no opportunity is missed even if you’re not actively monitoring the chart.
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K. Background Highlights
The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts.
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3. Practical Use of This Tool
• Scalpers & Intraday Traders can use it for quick momentum-based entries.
• Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals.
• Analysts can use the dashboard for real-time summaries in reports.
• Volume Analysis helps understand institutional activity.
Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes.
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4. Strict Disclaimer (aiTrendview)
⚠️ Disclaimer from aiTrendview:
This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment.
aiTrendview strictly follows TradingView.com rules and compliance guidelines.
Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose.
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MACD Bullish Divergence + Multi-TF RSI Buy SignalsNew script to overlap MACD Bullish Divergence and RSI signals to give confluence.
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities.
🔶 Advanced Statistical Normalization
Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions.
// Core EMA and Oscillator Calculation
ema_values = ta.ema(close, ema_period)
oscillator_values = close - ema_values
rolling_std = ta.stdev(oscillator_values, ema_period)
z_score = oscillator_values / rolling_std
🔶 Dual Threshold System
Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes.
// Statistical Thresholds
mild_threshold = 1.0 // ±1σ (68% confidence)
moderate_threshold = 2.0 // ±2σ (95% confidence)
extreme_threshold = 3.0 // ±3σ (99.7% confidence)
// Percentage-Based Dynamic Thresholds
osc_high = ta.highest(math.abs(z_score), lookback_period)
mild_pct_thresh = osc_high * (mild_pct / 100.0)
moderate_pct_thresh = osc_high * (moderate_pct / 100.0)
extreme_pct_thresh = osc_high * (extreme_pct / 100.0)
🔶 Signal Generation Framework
Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration.
// Extreme Signal Detection
sell_signal = ta.crossover(z_score, selected_extreme)
buy_signal = ta.crossunder(z_score, -selected_extreme)
// Dynamic Color Coding
signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought
z_score >= selected_moderate ? #ff6a6a : // Overbought
z_score >= selected_mild ? #b86456 : // Mildly Overbought
z_score > -selected_mild ? #a1a1a1 : // Neutral
z_score > -selected_moderate ? #01b844 : // Mildly Oversold
z_score > -selected_extreme ? #00ff66 : // Oversold
#00ff66 // Extremely Oversold
🔶 Visual Structure Analysis
Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing.
snapshot
4H
1D
🔶 Adaptive Threshold Selection
Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles.
🔶 Performance Optimization
Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options.
🔶 Market Oscillator Interpretation
Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches.
snapshot
🔶 Intelligent Signal Management
Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles.
Why Choose EMA Oscillator ?
This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Penguin Trend with RSI on DiffVisualizes volatility regime via the percent spread between the upper Bollinger Band and the upper Keltner Channel, with bar colors from a lightweight trend engine and an RSI computed on the Diff signal. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and an optional calculation timeframe. Defaults preserve the original look and behavior.
Penguin Trend with RSI on Diff shows expansion vs. compression in price action by comparing two classic volatility envelopes. It computes:
Diff% = (UpperBB − UpperKC) / UpperKC × 100
• Diff > 0: Bollinger Bands are wider than Keltner Channels → expansion / momentum regime
• Diff < 0: BB narrower than KC → compression / squeeze regime
A white “Average Diff” line smooths Diff% (default: SMA(5)) to highlight regime shifts. Bars are colored only when Diff > 0 to focus on expansion phases. A lightweight trend engine defines four states from a fast/slow MA bias and a short “thrust” MA on ohlc4:
• Green: Bullish bias and thrust > fast MA (healthy upside thrust)
• Red: Bearish bias and thrust < fast MA (healthy downside thrust)
• Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness)
• Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze)
RSI on Diff:
The indicator adds an RSI applied to Diff% to gauge momentum of the expansion/compression signal itself. Choose between Built-in RSI or a manual RMA-based computation, and optionally smooth it. Default OB/OS lines are 70/30.
How it works:
• Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)); Width = StdDev × Mult (default 2.0)
• Keltner Channels (KC): Basis = selected MA of src (default SMA(20)); Width = ATR(kcATR) × Mult (defaults 20 and 2.0)
• Diff%: Safe division guards against division-by-zero
• MA engine: Select SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Average Diff, and trend components (VWAP is session-anchored)
• Calculation timeframe: Compute internals on a chosen TF via request.security() while viewing any chart TF
Inputs (key):
• Calculation timeframe: Empty = chart TF; set e.g., 60/240 to compute on that TF
• BB: Length, StdDev Mult, MA Type
• KC: Basis Length, ATR Length, Multiplier, MA Type
• Average Diff: Length and MA Type
• RSI on Diff: RSI Length, Method (Built-in or Manual RMA), Smoothing Length, OB/OS levels, show/hide
• Trend Engine: Fast/Slow lengths & MA type, Signal (kept for completeness), Thrust MA length & type
• Display/Visibility: Paint bars only when Diff > 0; show zero line; “true Blue” color toggle; show/hide Diff columns and Average Diff
How to use:
1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions.
2. State confirmation: During expansion (Diff > 0), prioritize Green/Red for aligned thrust; treat Yellow/Blue as cautionary/contrarian.
3. RSI on Diff: Use OB/OS and crossovers for timing entries/exits or for confirming/negating expansion strength.
Alerts:
• Diff crosses above/below 0
• Average Diff crosses above/below 0
• RSI(Diff) crosses above OB / below OS
• State changes: GREEN / RED / YELLOW / BLUE
Notes & limitations:
• VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA.
• Defaults (SMA(20) for BB/KC, multipliers 2.0, SMA(5) Average Diff, original trend coloring and bar painting) preserve the original appearance.
• RSI on Diff is plotted in the same pane for a compact workflow; you can hide it or split into a separate indicator if desired.
Release notes:
v6.0 — Upgraded to Pine v6. Added multi-MA options (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP), calculation timeframe, RSI on Diff (Built-in or Manual RMA) with smoothing, safe division guard, optional zero line, and optional true Blue color. Defaults retain the original behavior.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
RSI with MA and Candle Highlight BY GRAFClassic RSI with minor modifications, background color changes when it is higher/lower than its average, making it easier to see. Additionally, the candle color changes when the RSI is overbought or oversold.
Reverse RSI Signals [AlgoAlpha]🟠 OVERVIEW
This script introduces the Reverse RSI Signals system, an original approach that inverts traditional RSI values back into price levels and then overlays them directly on the chart as dynamic bands. Instead of showing RSI in a subwindow, the script calculates the exact price thresholds that correspond to common RSI levels (30/70/50) and displays them as upper, lower, and midline bands. These are further enhanced with an adaptive Supertrend filter and divergence detection, allowing traders to see overbought/oversold zones translated into actionable price ranges and trend signals. The script combines concepts of RSI inversion, volatility envelopes, and divergence tracking to provide a context-driven tool for spotting reversals and regime shifts.
🟠 CONCEPTS
The script relies on inverting RSI math: by solving for the price that would yield a given RSI level, it generates real chart levels tied to oscillator conditions. These RSI-derived price bands act like support/resistance, adapting each bar as RSI changes. On top of this, a Supertrend built around the RSI midline introduces directional bias, switching regimes when the midline is breached. Regular bullish and bearish divergences are detected by comparing RSI pivots against price pivots, highlighting early reversal conditions. This layered approach means the indicator is not just RSI on price but a hybrid of oscillator translation, volatility-tracking midline envelopes, and divergence analysis.
🟠 FEATURES
Inverted RSI bands: upper (70), lower (30), and midline (50), smoothed with EMA for noise reduction.
Supertrend overlay on the RSI midline to confirm regime direction (bullish or bearish).
Gradient-filled zones between outer and inner RSI bands to visualize proximity and exhaustion.
Non-repainting bullish and bearish divergence markers plotted directly on chart highs/lows.
🟠 USAGE
Apply the indicator to any chart and use the plotted RSI price bands as adaptive support/resistance. The midline defines equilibrium, while upper and lower bands represent classic RSI thresholds translated into real price action. In bullish regimes (green candles), long trades are stronger when price approaches or bounces from the lower band; in bearish regimes (red candles), shorts are favored near the upper band. Divergence markers (▲ for bullish, ▼ for bearish) flag potential reversal points early. Traders can combine the band proximity, divergence alerts, and Supertrend context to time entries, exits, or to refine ongoing trend trades. Adjust smoothing and Supertrend ATR settings to match the volatility of the instrument being analyzed.
NPM Rsi DivergenceNPM RSI Divergence Indicator
The NPM RSI Divergence Indicator is a closed-source tool designed to help traders identify potential reversals and high-probability trade setups using divergence between price action and the Relative Strength Index (RSI). It highlights areas where momentum is weakening or strengthening, giving traders early signals of potential trend changes.
What it does
Detects divergences between RSI and price movement, indicating potential trend reversals or continuation.
Shows the strength or reliability of each divergence signal to help traders gauge probability.
Plots visual markers directly on the chart for easier recognition of potential setups.
Helps traders spot early exhaustion points in trends before price reverses or continues strongly.
How it works (concept-level)
Compares price highs/lows with RSI highs/lows to detect hidden or regular divergences.
Applies adaptive filtering to reduce false signals in choppy or low-volatility markets.
Aggregates divergence signals into clear visual markers and strength indicators.
Incorporates momentum context to highlight divergences that are more likely to produce actionable moves.
How to use it
1. Apply the indicator to your chosen symbol and timeframe.
2. Observe divergence markers and their strength indicators on the chart.
3. Confirm potential trade opportunities by considering trend direction and market context.
4. Use divergence signals to assist with trade entry, exit, or risk management decisions.
Alerts
Optionally set alerts when divergence signals appear or when the strength indicator exceeds a user-defined threshold.
Notes
Suitable for multiple markets, including forex, indices, crypto, and equities.
Can be used on intraday or swing trading timeframes depending on your trading strategy.
⚠️ Disclaimer: This script is for educational purposes only and is not financial advice. Trading involves risk, and you can lose money. Always test strategies on a demo account and practice proper risk management.
NPM Trend Dashboard NPM Trend Dashboard
The NPM Trend Dashboard is a closed-source tool designed to help traders quickly assess market conditions and make informed decisions. It combines trend detection, momentum, and volatility awareness into a clear interface, showing the current trend direction and strength for selected symbols.
What it does
Displays trend direction (uptrend, downtrend, or neutral) for each selected symbol.
Shows a confidence score or strength indicator to help gauge reliability.
Highlights potential areas of market exhaustion or reversal based on aggregated trend signals.
How it works (concept-level)
Combines multiple trend-detection methods such as moving average structure, momentum filters, and volatility assessment to generate an overall trend signal.
Uses adaptive filters to reduce noise and avoid false signals in choppy markets.
Incorporates zone awareness to account for areas where price may pause or reverse.
Aggregates signals into a single dashboard view to provide traders with a quick, actionable overview.
How to use it
1. Select symbols to monitor.
2. Switch to your desired timeframe to view trend information.
3. Observe trend direction and confidence score for each symbol.
4. Use the dashboard to supplement trade entries, exits, and risk management strategies.
Alerts
Optionally set alerts when trend direction changes or when confidence exceeds a user-defined threshold.
Notes
Suitable for multiple markets, including forex, indices, crypto, and equities.
Can be used for intraday scalping, swing trading, or longer-term trend analysis depending on the selected timeframe.
⚠️ Disclaimer: This script is for educational purposes only and is not financial advice. Trading involves risk, and you can lose money. Always test strategies on a demo account and practice proper risk management.
BRN TENDENCIAL (Alta / Baixa / Neutro) — com PerfisObjectively classify the market into 3 states: Bullish, Bearish, or Neutral.
Classic Ribbon Detection:
Bullish = MA1 > MA2 > MA3 > MA4 > MA5 > MA6
Bearish = MA1 < MA2 < MA3 < MA4 < MA5 < MA6
Neutral = when the alignment is not met (crossovers/disorder).
Optional simple mode (toggle): consider only MA1 and MA6 (Bullish = MA1 > MA6, Bearish = MA1 < MA6).
Pre-configured profiles (A/B/C) to recognize only large movements with one click.
Full manual configuration: choose the type of average (SMA/EMA/HMA/VWMA) and the periods for each of the 6 MAs.
Optional "big moves" filters:
Minimum Ribbon width (%) to require "fan opening";
Minimum MA1 slope (%) to require strong direction.
Clean visuals for quick reading: 6 Ribbon lines, background mask by state, optional bar color, and fill between MA1 and MA6.
Trademark start markers (UP/DOWN/NEUTRAL) to identify transitions on the chart.
Practical use: Serves as a trend filter for your strategies/signals (e.g., only trade Long on Highs, Short on Lows).
Focus on controlled neutrality: With profiles and filters, it prioritizes Neutral in noise and only marks a trend when the movement is truly significant.
Fear index by Clarity ChartsFear Index – Market Sentiment Strength Meter
The Fear Index is a unique, custom-built indicator designed to visualize market sentiment shifts by highlighting periods of fear (red) and confidence (green) directly on your chart. Unlike traditional oscillators, this tool combines price action dynamics with volume intensity to detect when participants are aggressively selling or confidently buying.
How to Use:
Red spikes indicate rising fear, panic, or heavy selling pressure – potential trend reversals or breakdown signals.
Green spikes highlight confidence, strength, or accumulation – signaling possible recovery or continuation.
Best used with trend analysis, support/resistance zones, and volume confirmation for high-probability setups.
Why this is different:
Not a copy of any existing indicator – this is a brand-new formula.
Helps you anticipate market mood before major price swings.
Works across multiple timeframes and instruments (indices, stocks, crypto, forex).
Pro Tip: Combine this with EMA/Trend filters for powerful trade entries and exits.
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SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
MACD Quadrant Matrix – 10 US MajorsThis script provides a quadrant matrix visualization of the MACD indicator across 10 major U.S. stocks (AAPL, MSFT, NVDA, AMZN, GOOGL, META, TSLA, BRK.B, UNH, LLY).
It is designed as a visual screening tool to quickly analyze the relative MACD conditions of large-cap U.S. equities.
# Quadrant Logic
Q1 (Green): MACD > 0 and MACD > Signal
Q2 (Orange): MACD > 0 and MACD < Signal
Q3 (Blue): MACD < 0 and MACD > Signal
Q4 (Red): MACD < 0 and MACD < Signal
# Features
Adjustable timeframe (default: Daily)
Quadrant background visualization
Optional jitter to reduce overlap of bubbles
Tooltip display with MACD, Signal, and Delta values
Counts of how many symbols fall into each quadrant
# Limitations
Symbol list is fixed to 10 large-cap U.S. stocks (modifiable in code).
This is a visualization tool only. It does not generate buy/sell signals.
Results and quadrant positioning will vary depending on timeframe selection.
# Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice, and should not be relied upon for trading or investment decisions.
Trading and investing carry risk, and users should perform their own due diligence.
Multi Stoch + VWAP Heatmap + Histogram + ScalpingThis indicator was developed by referencing various indicators from many contributors. I apologize that I cannot identify all the original authors due to the numerous sources referenced. Thank you to everyone who contributed to the trading community.
Important Notice: Please use this indicator with sufficient caution and proper risk management. I do not assume any responsibility for any losses incurred from using this indicator. Trade at your own risk.
Alternative version:
Acknowledgment & Disclaimer:
This indicator incorporates ideas and concepts from numerous community indicators. I sincerely apologize for not being able to properly credit all the original creators due to the extensive references used. My heartfelt gratitude goes out to all the talented developers in the trading community.
Risk Warning: Please exercise extreme caution when using this indicator. All trading involves substantial risk of loss, and I accept no liability for any financial losses that may result from the use of this indicator. Always implement proper risk management and trade responsibly.
Multi Stoch + VWAP Heatmap + Histogram + Scalping Usage Guide
🔧 Basic Settings
Parameter Settings (Recommended for XAU/USD)
Fast Stoch Length: 5 # Ultra-short term trend
Medium Stoch Length: 14 # Short term trend
Slow Stoch Length: 21 # Medium term trend
%K Smoothing: 2 # High sensitivity setting
%D Smoothing: 2 # High sensitivity setting
Overbought Level: 75 # Sell zone
Oversold Level: 25 # Buy zone
📈 Reading the Chart
1. Histogram (Background Bar Chart)
Green tones: Strong uptrend
Red tones: Strong downtrend
Gray: Trendless/neutral
2. Line Display
Blue lines: Ultra-short term Stochastic (K1/D1)
Orange lines: Short term Stochastic (K2/D2)
Purple lines: Medium term Stochastic (K3/D3)
Yellow line: VWAP (normalized)
3. Horizontal Lines
Upper line (75): Sell zone
Center line (50): Neutral line
Lower line (25): Buy zone
🎯 Signal Types and Meanings
Scalping Signals (● marks)
Green ● (bottom): 📈 Scalp buy entry
RSI(7) < 25 + K1 < 30 combination
VWAP bounce targeting
Red ● (top): 📉 Scalp sell entry
RSI(7) > 75 + K1 > 70 combination
VWAP rejection targeting
Main Trend Signals
▲ (large, green): 💪 Strong buy signal - Multiple conditions aligned
▼ (large, red): 💪 Strong sell signal - Multiple conditions aligned
△ (medium, green): 📈 Normal buy signal
▽ (medium, orange): 📉 Normal sell signal
Warning/Reversal Signals
▼ (pink): ⚠️ Sell warning - Trend reversal caution
△ (teal): ⚠️ Buy warning - Trend reversal caution
Cross Signals (● marks, positioned up/down)
Green ● (bottom): Histogram crosses above VWAP
Red ● (top): Histogram crosses below VWAP
🚀 Practical Usage
Scalping Strategy (1-5 minute charts recommended)
Entry: Enter on green ● or red ● signals
Take Profit: At opposite zone or next ● signal
Stop Loss: Around 10-15 pips (for gold)
Time Session: London-NY overlap optimal
Swing Trading Strategy (15min-1hour charts)
Entry: Strong ▲▼ signals
Take Profit: Opposite warning signals (▼△)
Stop Loss: VWAP reverse break or 30-50 pips
Day Trading Strategy (5-15 minute charts)
Trend Confirmation: Histogram color
Entry: △▽ signals
Take Profit: Opposite zone reached
Stop Loss: 20-30 pips
⚡ XAU/USD Specific Usage
Session-Based Strategy
Tokyo Session (9-15 JST): Wait and see, small scalps
London Session (16-24 JST): Main trading
NY Session (22-6 JST): Most active, all signals valid
Major News Events
Pre-announcement: Reduce positions
Post-announcement: Trend following with ● signals
🔍 Filter Functions
ATR Filter
Small price movements filtered as noise
Signals only on significant price moves
Time Filter
Strong signals only during high volatility sessions
Weaker signals during low volatility periods
Consecutive Signal Prevention
Duplicate signals within 2 bars filtered out
Prevents noise trading
⚙️ Settings Customization
For Aggressive Trading
Signal Cooldown: 1 # More frequent signals
ATR Length: 5 # More sensitive filter
For Conservative Trading
Signal Cooldown: 5 # Relaxed signals
ATR Length: 20 # Stricter filter
Overbought: 80 # More extreme levels
Oversold: 20
📱 Recommended Alert Settings
Strong Buy/Sell Signal: Priority ★★★
Scalping Buy/Sell Signal: Priority ★★☆
Reverse Warning: Priority ★★★ (for position management)
⚠️ Important Notes
Scalping requires quick decision-making
Multiple timeframe confirmation recommended
Exercise caution during major news events
Risk management is top priority
This indicator is a versatile multi-functional tool suitable for short to medium-term trading strategies!
🎓 Trading Examples
Scalping Example
Wait for green ● at oversold level (below 30)
Enter long position immediately
Target: 50 level or red ● signal
Stop: Below recent swing low
Day Trading Example
Histogram turns green (bullish trend)
Wait for △ buy signal near support
Target: Overbought level (75)
Exit: Warning signal ▼ appears
Risk Management Rules
Never risk more than 2% per trade
Use proper position sizing
Set stops before entry
Take partial profits at key levels
This comprehensive guide will help you maximize the potential of this advanced multi-timeframe indicator!
ATAI Volume Pressure Analyzer V 1.0 — Pure Up/DownATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down
Overview
Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes.
1) Architecture & Global Settings
Global Period (P, bars)
A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55.
Timeframe Handling
The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection:
◉ Second charts → 1S
◉ Intraday → 1 minute
◉ Daily → 5 minutes
◉ Otherwise → 60 minutes
Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m.
2) Up/Down Volume & Derived Series
The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values:
◉ Up volume (buyers)
◉ Down volume (sellers)
◉ Delta (Up − Down)
From these we define:
◉ TF_buy = |Up volume|
◉ TF_sell = |Down volume|
◉ TF_tot = TF_buy + TF_sell
◉ TF_delta = TF_buy − TF_sell
A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines.
3) Key Performance Indicators (KPIs)
Half‑window segmentation
To track momentum shifts, the P‑bar window is split in half:
◉ C→B: the older half
◉ B→A: the newer half (toward the current bar)
For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded.
[ 4) HUD (Table) Display /i]
Colors & Appearance
Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative.
Layout
The HUD is a 4×5 table updated on the last bar of each candle:
◉ Row 1 (Meta): indicator name, P length, lower TF, host TF
◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓)
◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ
◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top
5) Advanced Modules
5.1 Wings
“Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°):
◉ Both lines rising → blue (bullish)
◉ Both falling → red (bearish)
◉ Mixed/near‑zero → gray
Left wing reflects the origin of the recent move; right wing reflects the current state.
5.2 α / β at Point B
We compute the oriented angle between the two wings at the midpoint B:
β is the bottom‑arc angle; α = 360° − β is the top‑arc angle.
◉ Large α (>180°) or small β (<180°) flags meaningful imbalance.
◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions.
5.3 OB/OS Spike
OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI).
◉ OB label (red): unusually high sell volume + enough OB votes
◉ OS label (teal): unusually high buy volume + enough OS votes
Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick.
5.4 Top3 Volume Peaks
Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3).
◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR).
◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells.
6) Reading the HUD — A Quick Checklist
◉ Meta: Confirm P and both timeframes (host & lower).
◉ Host TF block: Compare current ↑/↓/Δ against their SMAs.
◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change.
◉ Wings: Right‑wing color/angle = now; left wing = recent origin.
◉ α / β: Look for α > 180° or β < 180° as imbalance cues.
◉ OB/OS: Note labels, color (red/teal), and the vote count.
◉Top3: Keep B1 (resistance) and S1 (support) on your radar.
Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation.
[ 7) Example Highlights (What the table conveys) /i]
◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display.
◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels.
◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture.
◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side.
◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength.
Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit
8) Practical Tips & Tuning
◉ Choose P by market structure. For daily charts, 34–89 bars often works well.
◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m.
◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°.
◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5.
◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility.
◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability.
Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions.
Technical Notes
Pine Script v6.
◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf).
◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table.
Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.
Asset Strength Index <DOSALGO>The Asset Strength Index (ASI) is a comprehensive dashboard indicator designed to provide traders with a broader perspective on market dynamics. Instead of viewing an asset in isolation, the ASI measures its relative strength against a basket of key global assets: Bonds, Gold, and the US Dollar.
This tool is built to give you an immediate, visual understanding of how the asset you are charting is performing in the context of the wider financial landscape. The analysis is presented across three distinct time horizons—Short-Term, Medium-Term, and Long-Term—allowing for a nuanced view of performance.
How It Can Be Useful
The core purpose of the ASI is to serve as a contextual analysis tool. By understanding an asset's strength or weakness relative to others, traders can gain valuable insights that may not be apparent from price action alone.
Inter-Market Confirmation: Use the dashboard to confirm your trading ideas. For example, a bullish outlook on a stock index could be strengthened if it shows increasing strength against safe-haven assets like Gold and Bonds.
Risk Sentiment Barometer: Gauge the prevailing risk-on or risk-off sentiment. If the US Dollar and Bonds are showing strength while your asset is weakening, it could indicate a broader market shift towards safety.
Multi-Term Perspective: Quickly assess if short-term movements are aligned with the longer-term trend. A short-term dip might be less concerning if the asset's long-term relative strength remains high.
How to Use It
The ASI dashboard is displayed directly on your chart. The values are presented as percentages, indicating the relative strength for each term.
Monitor the Readings: Observe the percentage values in the "S. Term," "M. Term," and "L. Term" columns. Positive values suggest relative strength, while negative values indicate relative weakness.
Look for Trends: The arrows (▲ or ▼) next to the percentage show the most recent change, helping you spot developing trends in relative strength.
Combine with Your Strategy: The ASI is not a standalone signal generator. It is most effective when used to supplement your existing trading system, helping you make more informed decisions by adding a layer of sophisticated, inter-market analysis.
The dashboard's appearance is fully customizable, allowing you to adjust its position, size, and colors to fit your chart layout.
Disclaimer
The Asset Strength Index (ASI) is a tool for market analysis and should not be considered financial advice. All trading involves risk, and past performance is not indicative of future results. Always use this indicator in conjunction with your own comprehensive trading plan and risk management strategy.
ST-Stochastic DashboardST-Stochastic Dashboard: User Manual & Functionality
1. Introduction
The ST-Stochastic Dashboard is a comprehensive tool designed for traders who utilize the Stochastic Oscillator. It combines two key features into a single indicator:
A standard, fully customizable Stochastic Oscillator plotted directly on your chart.
A powerful Multi-Timeframe (MTF) Dashboard that shows the status of the Stochastic %K value across three different timeframes of your choice.
This allows you to analyze momentum on your current timeframe while simultaneously monitoring for confluence or divergence on higher or lower timeframes, all without leaving your chart.
Disclaimer: In accordance with TradingView's House Rules, this document describes the technical functionality of the indicator. It is not financial advice. The indicator provides data based on user-defined parameters; all trading decisions are the sole responsibility of the user. Past performance is not indicative of future results.
2. How It Works (Functionality)
The indicator is divided into two main components:
A. The Main Stochastic Indicator (Chart Pane)
This is the visual representation of the Stochastic Oscillator for the chart's current timeframe.
%K Line (Blue): This is the main line of the oscillator. It shows the current closing price in relation to the high-low range over a user-defined period. A high value means the price is closing near the top of its recent range; a low value means it's closing near the bottom.
%D Line (Black): This is the signal line, which is a moving average of the %K line. It is used to smooth out the %K line and generate trading signals.
Overbought Zone (Red Area): By default, this zone is above the 75 level. When the Stochastic lines are in this area, it indicates that the asset may be "overbought," meaning the price is trading near the peak of its recent price range.
Oversold Zone (Blue Area): By default, this zone is below the 25 level. When the Stochastic lines are in this area, it indicates that the asset may be "oversold," meaning the price is trading near the bottom of its recent price range.
Crossover Signals:
Buy Signal (Blue Up Triangle): A blue triangle appears below the candles when the %K line crosses above the Oversold line (e.g., from 24 to 26). This suggests a potential shift from bearish to bullish momentum.
Sell Signal (Red Down Triangle): A red triangle appears above the candles when the %K line crosses below the Overbought line (e.g., from 76 to 74). This suggests a potential shift from bullish to bearish momentum.
B. The Multi-Timeframe Dashboard (Table on Chart)
This is the informational table that appears on your chart. Its purpose is to give you a quick, at-a-glance summary of the Stochastic's condition on other timeframes.
Function: The script uses TradingView's request.security() function to pull the %K value from three other timeframes that you specify in the settings.
Efficiency: The table is designed to update only on the last (most recent) bar (barstate.islast) to ensure the script runs efficiently and does not slow down your chart.
Columns:
Timeframe: Displays the timeframe you have selected (e.g., '5', '15', '60').
Stoch %K: Shows the current numerical value of the %K line for that specific timeframe, rounded to two decimal places.
Status: Interprets the %K value and displays a clear status:
OVERBOUGHT (Red Background): The %K value is above the "Upper Line" setting.
OVERSOLD (Blue Background): The %K value is below the "Lower Line" setting.
NEUTRAL (Black/Dark Background): The %K value is between the Overbought and Oversold levels.
3. Settings / Parameters in Detail
You can access these settings by clicking the "Settings" (cogwheel) icon on the indicator name.
Stochastic Settings
This group controls the behavior and appearance of the main Stochastic indicator plotted in the pane.
Stochastic Period (length)
Description: This is the lookback period used to calculate the Stochastic Oscillator. It defines the number of past bars to consider for the high-low range.
Default: 9
%K Smoothing (smoothK)
Description: This is the moving average period used to smooth the raw Stochastic value, creating the %K line. A higher value results in a smoother, less sensitive line.
Default: 3
%D Smoothing (smoothD)
Description: This is the moving average period applied to the %K line to create the %D (signal) line. A higher value creates a smoother signal line that lags further behind the %K line.
Default: 6
Lower Line (Oversold) (ul)
Description: This sets the threshold for the oversold condition. When the %K line is below this value, the dashboard will show "OVERSOLD". It is also the level the %K line must cross above to trigger a Buy Signal triangle.
Default: 25
Upper Line (Overbought) (ll)
Description: This sets the threshold for the overbought condition. When the %K line is above this value, the dashboard will show "OVERBOUGHT". It is also the level the %K line must cross below to trigger a Sell Signal triangle.
Default: 75
Dashboard Settings
This group controls the data and appearance of the multi-timeframe table.
Timeframe 1 (tf1)
Description: The first timeframe to be displayed in the dashboard.
Default: 5 (5 minutes)
Timeframe 2 (tf2)
Description: The second timeframe to be displayed in the dashboard.
Default: 15 (15 minutes)
Timeframe 3 (tf3)
Description: The third timeframe to be displayed in the dashboard.
Default: 60 (1 hour)
Dashboard Position (table_pos)
Description: Allows you to select where the dashboard table will appear on your chart.
Options: top_right, top_left, bottom_right, bottom_left
Default: bottom_right
4. How to Use & Interpret
Configuration: Adjust the Stochastic Settings to match your trading strategy. The default values (9, 3, 6) are common, but feel free to experiment. Set the Dashboard Settings to the timeframes that are most relevant to your analysis (e.g., your entry timeframe, a medium-term timeframe, and a long-term trend timeframe).
Analysis with the Dashboard: The primary strength of this tool is confluence. Look for situations where multiple timeframes align. For example:
If the dashboard shows OVERSOLD on the 15-minute, 60-minute, and your current 5-minute chart, a subsequent Buy Signal on your 5-minute chart may carry more weight.
Conversely, if your 5-minute chart shows OVERSOLD but the 60-minute chart is strongly OVERBOUGHT, it could indicate that you are looking at a minor pullback in a larger downtrend.
Interpreting States:
Overbought is not an automatic "sell" signal. It simply means momentum has been strong to the upside, and the price is near its recent peak. It could signal a potential reversal, but the price can also remain overbought for extended periods in a strong uptrend.
Oversold is not an automatic "buy" signal. It means momentum has been strong to the downside. While it can signal a potential bounce, prices can remain oversold for a long time in a strong downtrend.
Use the signals and dashboard states as a source of information to complement your overall trading strategy, which should include other forms of analysis such as price action, support/resistance levels, or other indicators.
Advanced Trend Momentum [Alpha Extract]The Advanced Trend Momentum indicator provides traders with deep insights into market dynamics by combining exponential moving average analysis with RSI momentum assessment and dynamic support/resistance detection. This sophisticated multi-dimensional tool helps identify trend changes, momentum divergences, and key structural levels, offering actionable buy and sell signals based on trend strength and momentum convergence.
🔶 CALCULATION
The indicator processes market data through multiple analytical methods:
Dual EMA Analysis: Calculates fast and slow exponential moving averages with dynamic trend direction assessment and ATR-normalized strength measurement.
RSI Momentum Engine: Implements RSI-based momentum analysis with enhanced overbought/oversold detection and momentum velocity calculations.
Pivot-Based Structure: Identifies and tracks dynamic support and resistance levels using pivot point analysis with configurable level management.
Signal Integration: Combines trend direction, momentum characteristics, and structural proximity to generate high-probability trading signals.
Formula:
Fast EMA = EMA(Close, Fast Length)
Slow EMA = EMA(Close, Slow Length)
Trend Direction = Fast EMA > Slow EMA ? 1 : -1
Trend Strength = |Fast EMA - Slow EMA| / ATR(Period) × 100
RSI Momentum = RSI(Close, RSI Length)
Momentum Value = Change(Close, 5) / ATR(10) × 100
Pivot Support/Resistance = Dynamic pivot arrays with configurable lookback periods
Bullish Signal = Trend Change + Momentum Confirmation + Strength > 1%
Bearish Signal = Trend Change + Momentum Confirmation + Strength > 1%
🔶 DETAILS
Visual Features:
Trend EMAs: Fast and slow exponential moving averages with dynamic color coding (bullish/bearish)
Enhanced RSI: RSI oscillator with color-coded zones, gradient fills, and reference bands at overbought/oversold levels
Trend Fill: Dynamic gradient between EMAs indicating trend strength and direction
Support/Resistance Lines: Horizontal levels extending from pivot-based calculations with configurable maximum levels
Momentum Candles: Color-coded candlestick overlay reflecting combined trend and momentum conditions
Divergence Markers: Diamond-shaped signals highlighting bullish and bearish momentum divergences
Analysis Table: Real-time summary of trend direction, strength percentage, RSI value, and momentum reading
Interpretation:
Trend Direction: Bullish when Fast EMA crosses above Slow EMA with strength confirmation
Trend Strength > 1%: Strong trending conditions with institutional participation
RSI > 70: Overbought conditions, potential selling opportunity
RSI < 30: Oversold conditions, potential buying opportunity
Momentum Divergence: Price and momentum moving opposite directions signal potential reversals
Support/Resistance Proximity: Dynamic levels provide optimal entry/exit zones
Combined Signals: Trend changes with momentum confirmation generate high-probability opportunities
🔶 EXAMPLES
Trend Confirmation: Fast EMA crossing above Slow EMA with trend strength exceeding 1% and positive momentum confirms strong bullish conditions.
Example: During institutional accumulation phases, EMA crossovers with momentum confirmation have historically preceded significant upward moves, providing optimal long entry points.
15min
4H
Momentum Divergence Detection: RSI reaching overbought levels while momentum decreases despite rising prices signals potential trend exhaustion.
Example: Bearish divergence signals appearing at resistance levels have marked major market tops, allowing traders to secure profits before corrections.
Support/Resistance Integration: Dynamic pivot-based levels combined with trend and momentum signals create high-probability trading zones.
Example: Bullish trend changes occurring near established support levels offer optimal risk-reward entries with clearly defined stop-loss levels.
Multi-Dimensional Confirmation: The indicator's combination of trend, momentum, and structural analysis provides comprehensive market validation.
Example: When trend direction aligns with momentum characteristics near key structural levels, the confluence creates institutional-grade trading opportunities with enhanced probability of success.
🔶 SETTINGS
Customization Options:
Trend Analysis: Fast EMA Length (default: 12), Slow EMA Length (default: 26), Trend Strength Period (default: 14)
Support & Resistance: Pivot Length for level detection (default: 10), Maximum S/R Levels displayed (default: 3), Toggle S/R visibility
Momentum Settings: RSI Length (default: 14), Oversold Level (default: 30), Overbought Level (default: 70)
Visual Configuration: Color schemes for bullish/bearish/neutral conditions, transparency settings for fills, momentum candle overlay toggle
Display Options: Analysis table visibility, divergence marker size, alert system configuration
The Advanced Trend Momentum indicator provides traders with comprehensive insights into market dynamics through its sophisticated integration of trend analysis, momentum assessment, and structural level detection. By combining multiple analytical dimensions into a unified framework, this tool helps identify high-probability opportunities while filtering out market noise through its multi-confirmation approach, enabling traders to make informed decisions across various market cycles and timeframes.
