Murrey Math Extremes ComparatorHOW IT WORKS
Creates two murrey math oscillators (hidden) one with 256 length another with 32 length and compare each other.
WHAT GIVE ME THIS SCRIPT
The script can give you very valuable information:
- Main Trend
- Pullbacks detections
- Extreme overbought oversold prices alerts
- Divergences
- Any timeframe usage
REFERENCES OF USAGE
Main Trend Indications
****The main trend is indicated with green(bull) or red(bears) small "triangles" on the bottom(bull) or the top(bears) of the chart.
*****To detect the Bull/Bear major trend the script use 256 murrey, if > 0 (green) we are uptrend in other cases we are downtrend
Pullback detection
****The pullbacks are indicated with Green(bull) or red(bears) medium "Arrows"
*****To detect pullbacks the system compare the long term murrey with the short term murrey, if long term is Green(green triangles)
*****so we are in a main bull trend, if the short term murrey make an extreme low then the pullback is indicated
*****The same for the short pullback, if long term murrey is RED and we have an extreme green short term murrey we shot a red arrow
Extreme Overbught/Oversold
****The extreme OO is indicated with fancy diamonds
*****To detect the Extremes price movements we combine the two murrey, if Long Term Murrey is overbought and short term murrey too
*****Then the diamond show on the screen obove or below based on the extreme if overbought or oversold
Strategy Resume:
Triangles indicate Major Trend Up/Down
Arrows Indicate Continuation pullbacks
Diamonds Indicate Extreme Prices
GUIDE HOW TO IMAGES
How it's works Behind Scene
Cari dalam skrip untuk "bear"
Indicators: Volume-Weighted MACD Histogram & Sentiment Zone OscVolume-Weighted MACD Histogram
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Volume-Weighted MACD Histogram, first discussed by Buff Dormeier, is a modified version of MACD study. It calculates volume-averaged Close price for finding the histogram.
More info:
www.moneyshow.com
Sentiment Zone Oscillator
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Sentiment Zone Oscillator, developed by Walid Khalil, is a complementing oscillator to VZO and PZO.
To quote Walid:
>> The sentiment zone oscillator (SZO) is a leading contrary oscillator that measures the extreme emotions of a single market or share.
>> It measures and defines both extremes, bullishness (overoptimism) and bearishness (overpessimism), that could lead to a change
>> in sentiment, eventually changing the trend of the time frame under study. The SZO was devised on the belief that after several waves
>> of rising prices, investors begin to get bullish on the stock with increasing confidence since the price has been rising for some time.
>> The SZO measures that bullishness/bearishness and marks overbought/oversold levels.
SZO has its own oversold/overbought bands. Also, when SZO goes above 7, it indicates extreme optimism. When the SZO goes below -7, it indicates extreme pessimism.
More info: www.traders.com
How to import / use custom indicators from this chart?
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PDF: drive.google.com
MACD + RSI/MA Signals with 200 EMA (Overlay)How It’s Built
MACD Line = EMA(12) – EMA(26)
→ Short-term vs. medium-term momentum.
Signal Line = EMA(9) of MACD Line
→ Smooths things out.
Histogram = MACD Line – Signal Line
→ Visual "energy gauge" showing momentum strength.
What It Actually Tells You
Crossover Signals
MACD Line crosses above Signal Line → Bullish shift (momentum turning up).
MACD Line crosses below Signal Line → Bearish shift (momentum turning down).
⚠️ But: crossovers lag price. On their own, they’re late.
Zero Line Relevance
Above Zero → Trend bias is bullish (short-term EMA > long-term EMA).
Below Zero → Trend bias is bearish.
Crosses through zero often align with bigger trend changes.
Histogram Use
Expanding histogram = momentum strengthening.
Shrinking histogram = momentum weakening (trend may be stalling).
Flips from positive to negative (or vice versa) often precede crossovers.
Divergences
Price makes a new high, but MACD doesn’t → momentum is fading → possible reversal.
Same idea for lows.
Where Traders Go Wrong
Using it alone. It’s a confirmation tool, not an entry machine.
Misreading every crossover as a trade. Many are just noise, especially on low timeframes.
Forgetting market context — MACD works best in trending markets, not chop.
Best Way to Use It
With trend structure + support/resistance:
→ E.g., you’re eyeing a BTC bounce long. If MACD histogram turns from negative to positive while price defends support, that’s confirmation, not a blind buy.
For momentum timing:
→ Ride trends longer if histogram stays strong. Scale out when it weakens.
Divergence spotting:
→ Early heads-up that a reversal is brewing.
Statistical FootprintStatistical Footprint - Behavioral Support & Resistance
This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely.
The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses.
Key Features:
- Separate analysis for daily and weekly timeframes
- Smart zone merging when levels cluster together (within 5 points)
- Uses both mean and median calculations for more robust levels
- XGBoost-optimized lookback periods for maximum statistical significance
- Clean zone-only display focused on actionable price areas
How it Works:
The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions.
When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully.
Best Used For:
- Identifying high-probability reversal zones
- Setting profit targets based on historical behavior
- Understanding market sentiment shifts at key levels
- Confluence analysis between different timeframes
The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
HorizonSigma Pro [CHE]HorizonSigma Pro
Disclaimer
Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values.
For example, what do “UP 61%” and “DOWN 21%” mean?
“UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise.
Part 1 — Scientific description
Objective.
The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel.
Data and labeling.
For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed.
Feature engineering.
The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver).
Weighting and learning.
Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries.
Scoring and probability mapping.
The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability.
Decision policy.
Two modes are supported:
- Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral.
- Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short.
Repaint protection.
All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats.
Calibration.
An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability.
Evaluation metrics.
The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme.
Visualization.
On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition.
Computational properties.
The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits.
Assumptions and limitations.
The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance.
Part 2 — Trader‑facing description
What it does.
This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility.
How to set it up.
1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point.
2) Pick a feature mode.
- components: granular and fast to adapt when leadership rotates between signals.
- super: cleaner single driver; less noise, slightly slower to react.
3) Decide how signals are triggered.
- Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves.
- Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift.
4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes.
5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns.
6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise.
Reading the stats table.
- Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point.
- Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time.
- Profit Factor, Net Return, Exposure: quick triage of tradability and signal density.
- Average Return by Side: sanity‑check that the long and short calls each pull their weight.
Typical adjustments.
- Too many trades? Increase the neutral band or raise the z‑threshold.
- Missing the move? Tighten the band, or switch to components mode to react faster.
- Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on.
- Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon.
Execution and risk.
- Size positions by volatility (ATR‑based sizing works well).
- Enter on confirmed values; use intrabar previews only as early signals.
- Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant.
What it is not.
Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety.
Suggested defaults (robust starting point).
- Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200.
- Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation.
- Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start.
- ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3.
- Confidence setting equivalent to about 95%.
Disclaimer
No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Daily Levels (Open, Prev High/Low)A clean and lightweight indicator that automatically plots three key intraday levels: the Daily Open, the Previous Day's High (PDH), and the Previous Day's Low (PDL). Essential for identifying potential support, resistance, and daily market bias without cluttering your chart.
Overview
This indicator is designed to be a simple yet powerful tool for intraday traders. It automatically draws three of the most significant price levels that traders watch every day:
The Current Day's Opening Price
The Previous Day's High (PDH)
The Previous Day's Low (PDL)
By having these levels plotted automatically, you can keep your charts clean and focus on your strategy instead of manually drawing lines every new trading session.
Key Features
Dynamic Daily Open Line: This line represents the opening price of the current session. It dynamically changes color to give you an at-a-glance view of the daily sentiment.
Green: Current price is trading above the daily open (Bullish sentiment).
Red: Current price is trading below the daily open (Bearish sentiment).
Gray: Current price is at the open.
Previous Day's High (PDH): A line marking the highest price reached during the prior trading session. This level frequently acts as a key resistance point.
Previous Day's Low (PDL): A line marking the lowest price reached during the prior trading session. This level often serves as a key support area.
How to Use This Indicator
These levels are fundamental to many intraday trading strategies:
Identify Support & Resistance: Use PDH and PDL as natural areas to watch for price reactions. A break above PDH can signal strong bullish momentum, while a break below PDL can indicate strong bearish momentum.
Gauge Market Bias: Trading above the Daily Open is often considered bullish for the day, while trading below it is considered bearish. This can help you filter trades to align with the dominant intraday trend.
Set Entries & Exits: Look for confirmation signals (like candlestick patterns or other indicator signals) when the price interacts with these levels. They can also be logical areas for placing stop-losses or take-profit targets.
Customization
The indicator is fully customizable to fit your charting style:
Toggle the visibility of the Daily Open and the PDH/PDL lines.
Adjust the colors and line widths for each level.
This tool helps you stay focused on the levels that matter most for day trading.
Sunmool's Silver Bullet Model FinderICT Silver Bullet Model Indicator - Complete Guide
📈 Overview
The ICT Silver Bullet Model indicator is a supplementary tool for utilizing ICT's (Inner Circle Trader) market structure analysis techniques. This indicator detects institutional liquidity hunting patterns and automatically identifies structural levels, helping traders analyze market structure more effectively.
🎯 Core Features
1. Structural Level Identification
STL (Short Term Low): Recent support levels formed in the short term
STH (Short Term High): Recent resistance levels formed in the short term
ITL (Intermediate Term Low): Stronger support levels with more significance
ITH (Intermediate Term High): Stronger resistance levels with more significance
2. Kill Zone Time Display
London Kill Zone: 02:00-05:00 (default)
New York Kill Zone: 08:30-11:00 (default)
These are the most active trading hours for institutional players where significant price movements occur
3. Smart Sweep Detection
Bear Sweep (🔻): Pattern where price sweeps below lows then recovers - Simply indicates sweep occurrence
Bull Sweep (🔺): Pattern where price sweeps above highs then declines - Simply indicates sweep occurrence
Important: Sweep labels only mark liquidity hunting locations, not directional bias.
🔧 Configuration Parameters
Basic Settings
Sweep Detection Lookback: Number of candles for sweep detection (default: 20)
Structure Point Lookback: Number of candles for structural point detection (default: 10)
Sweep Threshold: Percentage threshold for sweep validation (default: 0.1%)
Time Settings
London Kill Zone: Active hours for London session
New York Kill Zone: Active hours for New York session
Visualization Settings
Customizable colors for each level type
Enable/disable alert notifications
📊 How to Use
1. Chart Setup
Most effective on 1-minute to 1-hour timeframes
Recommended for major currency pairs (EUR/USD, GBP/USD, etc.)
Also applicable to cryptocurrencies and indices
2. Signal Interpretation
🔻 Bear Sweep / 🔺 Bull Sweep Labels
Simply indicate liquidity hunting occurrence points
Not directional bias indicators
Reference for understanding overall context on HTF
🟢 Silver Bullet Long (Huge Green Triangle)
After Bear Sweep occurrence
Within Kill Zone timeframe
Current price positioned above swept level
→ Actual BUY entry signal
🔴 Silver Bullet Short (Huge Red Triangle)
After Bull Sweep occurrence
Within Kill Zone timeframe
Current price positioned below swept level
→ Actual SELL entry signal
3. Risk Management
Use swept levels as stop-loss reference points
Approach signals outside Kill Zone hours with caution
Recommended to use alongside other technical analysis tools
💡 Trading Strategies
Silver Bullet Strategy
Preparation Phase: Monitor charts 30 minutes before Kill Zone
Sweep Observation: Identify liquidity hunting points with 🔻🔺 labels (reference only)
Entry: Enter ONLY when huge triangle Silver Bullet signal appears within Kill Zone
Take Profit: Target opposite structural level or 1:2 reward ratio
Stop Loss: Beyond the swept level
Important: Small sweep labels are NOT trading signals!
Multi-Timeframe Approach
Step 1: HTF (Higher Time Frame) Sweep Reference
Observe 🔻🔺 sweep labels on 4-hour and daily charts
Reference only sweeps occurring at major structural levels
HTF sweeps are used to identify liquidity hunting points
Reference only, not for directional bias
Step 2: Transition to LTF (Lower Time Frame)
Move to 15-minute, 5-minute, and 1-minute charts
Analyze LTF with reference to HTF sweep information
Use STL, STH, ITL, ITH for precise entry point identification
Structural levels on LTF are the core of actual trading decisions
Only huge triangle (Silver Bullet) signals are actual entry signals
Recommended Usage
Identify overall sweep occurrence points on HTF (🔻🔺 labels)
Use this indicator on LTF to identify structural levels
Reference only huge triangle signals for actual trading during Kill Zone
Small sweep labels (🔻🔺) are for reference only, not entry signals
📋 Information Table Interpretation
Real-time information in the top-right table:
Kill Zone Status: Current active session status
Level Counts: Number of each structural level type
⚠️ Important Disclaimers
Backtesting results do not guarantee future performance
Exercise caution during high market volatility periods
Always apply proper risk management
Recommend comprehensive analysis with other analytical tools
🎓 Learning Resources
Study original ICT concepts through free YouTube educational content
Research Market Structure analysis techniques
Optimize through backtesting for personal use
🔬 Technical Implementation
Algorithm Logic
Pivot Point Detection: Uses TradingView's built-in pivot functions to identify swing highs and lows
Classification System: Automatically categorizes levels based on recent price action frequency
Sweep Validation: Confirms legitimate sweeps through price action analysis
Time-Based Filtering: Prioritizes signals during institutional active hours
Performance Optimization
Efficient array management prevents memory overflow
Dynamic level cleanup maintains chart clarity
Real-time calculation ensures minimal lag
🛠️ Customization Tips
Adjust lookback periods based on market volatility
Modify kill zone times for different market sessions
Experiment with sweep threshold for different instruments
Color-code levels according to personal preference
📈 Expected Outcomes
When properly implemented, this indicator can help traders:
Identify high-probability reversal points
Time entries with institutional flow
Reduce false signals through kill zone filtering
Improve risk-to-reward ratios
This indicator automates ICT's concepts into a user-friendly tool that can be enhanced through continuous learning and practical application. Success depends on understanding the underlying market structure principles and combining them with proper risk management techniques.
Dynamic Momentum Oscillator with Adaptive ThresholdsDynamic Momentum Oscillator with Adaptive Thresholds (DMO-AT)
This advanced indicator is designed to provide traders with a robust tool for identifying momentum shifts, overbought/oversold conditions, and potential reversals in any market. Unlike traditional oscillators with fixed thresholds, DMO-AT uses adaptive levels that adjust based on current volatility (via ATR) and incorporates volume weighting for more accurate signals in high-volume environments.
#### Key Features:
- **Momentum Calculation**: A normalized momentum value derived from price changes, optionally weighted by volume for enhanced sensitivity.
- **Adaptive Thresholds**: Overbought and oversold levels dynamically adjust using ATR, making the indicator adaptable to volatile or ranging markets.
- **Signal Line**: An EMA of the momentum for crossover signals, helping confirm trend directions.
- **Divergence Detection**: Built-in alerts for bullish and bearish divergences between price and momentum.
- **Visual Enhancements**: Background coloring for quick zone identification, dashed static lines for reference, and a customizable stats table displaying real-time values.
- **Alerts**: Multiple alert conditions for crossovers, zone entries, and divergences to keep you notified without constant chart watching.
#### How to Use:
1. Add the indicator to your chart via TradingView's indicator search.
2. Customize inputs: Adjust the momentum length, source, ATR length, and threshold multiplier to fit your trading style (e.g., shorter lengths for scalping, longer for swing trading).
3. Interpret Signals:
- **Crossover**: Momentum crossing above the signal line suggests bullish momentum; below indicates bearish.
- **Zones**: Entering the overbought (red) zone may signal a potential sell; oversold (green) for buys.
- **Divergences**: Use alerts to spot hidden opportunities where price and momentum disagree.
4. Combine with other tools like moving averages or support/resistance for confluence.
5. Enable the stats table for at-a-glance insights on the chart.
This indicator is versatile across timeframes and assets, from stocks to crypto. It's optimized for clarity and performance, with no repainting.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
MFI × RSI × VWAP Multi-Timeframe Suite# MFI × RSI × VWAP Multi-Timeframe Suite - Usage Guide & Precautions
## 📊 Indicator Overview
This indicator integrates **RSI (Relative Strength Index)**, **MFI (Money Flow Index)**, and **VWAP (Volume Weighted Average Price)** for comprehensive multi-timeframe analysis. It provides high-precision trading signals through confluence analysis.
## 🎯 Primary Objectives
- **Comprehensive trend analysis across short, medium, and long-term timeframes**
- **Enhanced accuracy through multi-indicator confluence**
- **Optimized entry and exit timing**
---
## 📈 Basic Interpretation
### 1. Main Plot Lines
- **Blue Line (RSI)**: Price momentum
- **Purple Line (MFI)**: Money flow momentum
- **Orange Line (VWAP Relative)**: Relative position to VWAP (0-100 scale)
### 2. Background Color Meaning
- **Green**: All indicators aligned bullishly (buying dominance)
- **Red**: All indicators aligned bearishly (selling dominance)
- **Color Intensity**: Strength of confluence
### 3. Signal Arrows
- **🔼 Green Up Arrow**: Long signal
- **🔽 Red Down Arrow**: Short signal
- **🟠 Small Circles**: VWAP crossover signals
---
## 🎛️ Configuration Settings
### Basic Parameters
```
RSI Length: 14 (standard)
MFI Length: 14 (standard)
RSI Overbought: 70
RSI Oversold: 30
MFI Overbought: 80
MFI Oversold: 20
```
### VWAP Settings
```
VWAP Anchor: Session (use "Week" or "Month" for daily charts)
Std Dev Multiplier: 2.0 (Bollinger Band-style application)
```
### Multi-Timeframe Configuration
```
TF1: 15min (short-term)
TF2: 1hour (medium-term)
TF3: 4hour (long-term)
TF4: Daily (trend)
```
---
## 📋 Dashboard Interpretation
### Trend Strength Scores
- **+70 to +100**: 💪 Very strong uptrend
- **+30 to +69**: 🟢 Uptrend
- **-29 to +29**: ➖ Sideways/No clear direction
- **-30 to -69**: 🔴 Downtrend
- **-70 to -100**: ⚠️ Very strong downtrend
### Consensus (Overall Assessment)
Average score across all timeframes. **Absolute value ≥50** indicates strong trend.
---
## 🎯 Practical Trading Methods
### 🔵 Long Entry Conditions
1. **RSI crosses above MFI** OR **synchronized oversold exit**
2. **Price above VWAP**
3. **Multi-timeframe consensus is positive (+)**
4. **Green background (confluence present)**
### 🔴 Short Entry Conditions
1. **RSI crosses below MFI** OR **synchronized overbought exit**
2. **Price below VWAP**
3. **Multi-timeframe consensus is negative (-)**
4. **Red background (confluence present)**
### ⚡ Strongest Signals
- **All timeframes align in trend direction**
- **Consensus score ±70 or higher**
- **🚀 STRONG display**
---
## ⏰ Timeframe-Specific Applications
### Scalping (1min-5min charts)
- Focus on RSI/MFI crossovers
- Target VWAP bounces
- Require 15min+ timeframe trend filter
### Day Trading (15min-1hour charts)
- Emphasize overbought/oversold exit signals
- Follow 1hour to daily trend direction
- Confirm with confluence background color
### Swing Trading (4hour-daily charts)
- Prioritize daily+ consensus
- Use weekly VWAP for big picture
- Wait for multi-timeframe alignment
---
## 🚨 Alert Utilization
### Basic Alerts
- **Long/Short Signal**: Basic entry signals
- **Strong Consensus**: Powerful signals with multi-timeframe confluence
- **VWAP Cross**: Important support/resistance breakouts
### Alert Configuration Example
```
Long Signal → Begin monitoring as candidate
Strong Consensus + Long → Consider aggressive entry
VWAP Bullish Cross → Potential trend reversal
```
---
## ⚠️ Important Precautions & Limitations
### Avoiding False Signals
1. **Wait for multiple conditions to align simultaneously**
2. **Never trade against higher timeframe trends**
3. **Avoid major economic news releases**
4. **Exercise caution during extremely low volatility**
### Market Environment Adjustments
- **Trending Markets**: Emphasize crossover signals
- **Range-bound Markets**: Focus on overbought/oversold levels
- **High Volatility**: Strengthen filters
- **Low Volatility**: Adjust sensitivity
### Risk Management Rules
1. **Never risk more than 2% per trade**
2. **Always set stop-loss before entry**
3. **Use proper position sizing**
4. **Maintain trading journal**
---
## 🎓 Learning & Improvement Guidelines
### Backtesting Recommendations
- **Test on 6+ months of historical data**
- **Verify performance across different market conditions**
- **Adapt settings to your trading style**
### Continuous Optimization
- **Track win rate and risk-reward ratios**
- **Analyze performance by timeframe**
- **Measure impact of parameter adjustments**
---
## 🚫 Critical Don'ts
### Never Do These:
❌ **Trade during major news events** (FOMC, NFP, CPI)
❌ **Ignore higher timeframe bias**
❌ **Chase signals after they've already moved significantly**
❌ **Override risk management rules**
❌ **Trade when emotionally compromised**
### Red Flags - Stop Trading When:
⚠️ **Consensus shows conflicting signals across timeframes**
⚠️ **VWAP shows choppy, directionless movement**
⚠️ **Multiple false signals occur consecutively**
⚠️ **Market volatility exceeds 300% of normal levels**
---
## 📊 Performance Monitoring
### Daily Checklist
```
□ Check overall market sentiment
□ Verify economic calendar for news events
□ Review multi-timeframe alignment
□ Confirm proper risk management setup
□ Monitor position sizing appropriateness
```
### Weekly Review
```
□ Analyze win rate by timeframe
□ Review entry/exit execution quality
□ Assess adherence to trading rules
□ Identify pattern improvements
□ Adjust parameters if necessary
```
### Monthly Evaluation
```
□ Calculate overall profitability
□ Review maximum drawdown periods
□ Assess emotional discipline
□ Update trading plan based on results
□ Consider strategy refinements
```
---
## 🎖️ Advanced Tips for Professionals
### Multi-Monitor Setup
```
Primary Screen: Main chart with indicator
Secondary Screen: Multi-timeframe view
Third Screen: Economic calendar + news
Mobile Device: Alert notifications
```
### Professional Entry Techniques
1. **Wait for 2+ confluence factors**
2. **Confirm with volume analysis**
3. **Use limit orders near VWAP levels**
4. **Scale into positions on strong signals**
### Exit Strategy Optimization
1. **Take partial profits at key levels**
2. **Trail stops on trending moves**
3. **Exit immediately on trend reversal signals**
4. **Honor predetermined risk-reward ratios**
---
## ⚡ Quick Reference Card
### Best Practices Summary
✅ **Always check higher timeframe first**
✅ **Wait for confluence of multiple indicators**
✅ **Use proper position sizing**
✅ **Set stops before entering**
✅ **Follow your trading plan strictly**
### Signal Reliability Ranking
1. **🚀 Strong Consensus** (Highest reliability)
2. **Multi-timeframe alignment** (High reliability)
3. **VWAP + RSI/MFI confluence** (Medium-high reliability)
4. **Single timeframe signals** (Medium reliability)
5. **Isolated crossovers** (Lowest reliability)
---
## 🔧 Troubleshooting Common Issues
### If Signals Are Too Frequent:
- Increase RSI/MFI periods
- Tighten overbought/oversold levels
- Add more confluence requirements
- Use higher timeframe bias
### If Signals Are Too Rare:
- Decrease RSI/MFI periods
- Widen overbought/oversold levels
- Reduce confluence requirements
- Lower signal smoothing value
### If Accuracy Is Poor:
- Review market conditions compatibility
- Strengthen higher timeframe filters
- Improve risk management
- Consider different timeframe combinations
**Remember**: This indicator is a comprehensive analysis tool. It's **not perfect in isolation** and must be used with proper **risk management** and **market understanding**!
AekFreedom Trading OscillatorAekFreedom Trading Oscillator: User Guide
Overview
The AekFreedom Trading Oscillator is a comprehensive, all-in-one technical analysis tool designed for TradingView. It consolidates a powerful suite of essential indicators into a single, highly customizable indicator pane. The primary goal is to reduce chart clutter and provide traders with a multi-faceted view of the market, combining momentum, trend strength, volatility, and divergence signals in one place.
Core Features & Indicators
This script includes the following fully customizable indicators:
Relative Strength Index (RSI): A core momentum oscillator used to measure the speed and change of price movements. It features gradient fills for overbought (70-100) and oversold (0-30) zones, along with an optional smoothing moving average.
Stochastic Oscillator: Another momentum indicator that compares a particular closing price of a security to a range of its prices over a certain period of time to identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): A trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs). It includes the MACD line, Signal line, and Histogram.
Awesome Oscillator (AO): A momentum indicator that measures the market's driving force by comparing recent momentum with general momentum over a wider timeframe.
ADX (Average Directional Index): An indicator used to quantify the strength of a trend, regardless of its direction (up or down). An ADX value over 25 typically suggests a strong trend.
ATR (Average True Range): A key indicator for measuring market volatility.
Advanced Divergence Engine
One of the most powerful features of this script is its built-in Divergence Engine. It can automatically detect and display both Regular Bullish and Regular Bearish divergences.
Supported Indicators: Divergence detection is available for RSI, Awesome Oscillator (AO), and the MACD Line.
Visual Signals: When a divergence is found, the script will:
Draw a line on the oscillator connecting the relevant pivot points.
Display a "Bull" or "Bear" label directly below or above the signal for easy identification.
Alerts: You can set up alerts in TradingView that will trigger whenever a new divergence signal appears.
How to Use: Settings Panel
The indicator is fully customizable via the settings panel.
Indicator Visibility
This is your main control panel for toggling visuals on and off to keep your chart clean.
Show...: Check or uncheck any indicator (e.g., Show RSI & MA, Show Stochastic, Show ATR) to display or hide it instantly.
Show... Divergence: Use these checkboxes (e.g., Show RSI Divergence) to control the visibility of the divergence lines and labels on the chart.
Indicator-Specific Settings
Each indicator has its own group of settings for fine-tuning its parameters.
RSI / AO / MACD Settings:
Here you can adjust standard parameters like Length, Source, etc.
IMPORTANT: Each of these has a Calculate Divergence checkbox. You must enable this checkbox for the script to perform the resource-intensive calculation for that indicator's divergence.
Stochastic Settings: Adjust the %K Length, %K Smoothing, and %D Smoothing.
ADX Settings: Adjust the ADX Smoothing and DI Length.
ATR Settings: Adjust the Length for the ATR calculation.
📌 How to Enable Divergence Signals (2 Steps):
To see divergence for an indicator (e.g., MACD), you must do two things:
Go to "MACD Settings" and check the box for Calculate Divergence.
Go to "Indicator Visibility" and ensure the box for Show MACD Divergence is also checked.
trending -Separate Pane Color BandThe "Donchian trendi multi time frame Color Band" is designed to identify trend directions based on swing highs and lows (similar to Donchian channel concepts, where trends are determined by breakouts from recent highs/lows). The indicator operates in a separate pane (overlay = false) and primarily visualizes:
Trend Direction: Determined by the relative positions of the most recent swing high and swing low. If the last swing high occurred after the last swing low, it's considered an uptrend (bullish); otherwise, a downtrend (bearish).
Adaptive Trend Band: A colored area plot in the indicator pane that represents an adaptive tracking period (influenced by volatility if enabled), filled with a color indicating the current trend (green for up, red for down).
Multi-Timeframe (MTF) Table: An optional table displayed in the top-right corner, showing the trend signal (Bullish or Bearish) for up to 6 user-defined higher timeframes. Each cell is colored based on the trend.
The indicator uses swing detection to gauge trend, incorporates optional volatility-based adaptation for responsiveness, and focuses on multi-timeframe analysis for broader market context. It's not a direct Donchian channel (which typically plots upper/lower bands), but borrows the idea of using highest/lowest prices over a period to detect pivots. It doesn't generate buy/sell signals explicitly but can be used for trend confirmation across timeframes.
Key features include tooltips for inputs, making it user-friendly, and limits on bars/labels for performance.
Key Inputs and Their Roles
The indicator provides customizable inputs grouped into "Swing Points", "Style", and "Multi Timeframe". Here's a breakdown:
Swing Period (prd): Default 50, minimum 2. This sets the lookback period (in bars) for identifying swing highs and lows. Higher values capture major swings (less noise, more lag); lower values detect minor swings (more responsive, but noisier).
Adaptive Price Tracking (baseAPT): Default 20, minimum 1. This base value controls the responsiveness of an adaptive tracking mechanism (similar to a VWAP or moving average length). Lower values make it tighter to price action; higher values smooth it out.
Adapt APT by ATR ratio (useAdapt): Default false. If enabled, the tracking period dynamically adjusts based on market volatility (measured via ATR - Average True Range). High volatility shortens the period for faster reaction; low volatility lengthens it for smoothness.
Volatility Bias (volBias): Default 10.0, minimum 0.1. This amplifies or dampens how much volatility affects the adaptive tracking. Values >1 make it more sensitive to volatility changes; <1 make it less reactive.
Up Color (S): Default lime (green). Color for bullish trends in the band and table.
Down Color (R): Default red. Color for bearish trends in the band and table.
Show MTF Table (show_table): Default true. Toggles the display of the multi-timeframe trend table.
Time frames (tf1 to tf6): Defaults: '1' (1-minute), '3' (3-minute), '15' (15-minute), '60' (1-hour), '240' (4-hour), 'D' (daily). These are the higher timeframes for which trend directions are calculated and shown in the table.
Usage and Interpretation
On the Chart: Add this to a TradingView chart (e.g., for stocks, crypto, forex). The colored area in the indicator pane shows the current timeframe's trend: green band = bullish, red = bearish. The band's height reflects the adaptive period (wider in low volatility if adaptation is on).
MTF Table: Use this for alignment across timeframes. If most/higher timeframes are bullish, it might confirm an uptrend on the current chart. Ideal for trend-following strategies (e.g., trade in the direction of higher TFs).
Customization Tips:
Increase prd for longer-term trends.
Enable useAdapt in choppy markets for better responsiveness.
Adjust timeframes to match your trading style (e.g., scalping: lower TFs; swing: higher).
Limitations:
Relies on historical bars (max_bars_back=5000), so it may not load on very long charts.
No alerts or signals built-in; it's visual-only.
The "Donchian" in the name is loose—it's more pivot-based than full channels.
Adaptation uses ATR, which assumes volatility drives trend responsiveness, but may lag in ranging markets.
Candle Aura Glow [mqsxn]Illuminate your charts with a dynamic visual overlay that highlights the true energy behind each candle. Candle Aura Glow wraps candles in soft glowing rings, with intensity driven by Range/ATR, Volume, or Momentum. The stronger the move, the brighter and larger the aura — instantly drawing your eye to candles that actually matter.
This tool is purely visual yet highly intuitive, designed to make volatility, strength, and sentiment obvious at a glance. Whether you’re spotting institutional-sized moves, filtering noise, or simply enhancing your chart readability, Candle Aura Glow brings price action to life.
Features
- Multiple Engines: Choose glow intensity based on Range/ATR, Volume, or Momentum (ROC).
- Aura Customization: Adjust number of rings, transparency fade, horizontal/vertical padding, and color schemes.
- Directional Colors: Separate glow tones for bullish vs bearish candles.
- Performance Controls: Option to render only the most recent candles for heavy charts.
- Non-Repainting: Auras are drawn only on confirmed bars, keeping the visualization reliable.
Inputs
- Intensity Engine – Select what drives aura strength (Range/ATR, Volume, Momentum).
- ATR Length / Volume SMA / Momentum Length – Customize smoothing windows per engine.
- Glow Levels (rings) – Number of glow layers drawn per candle.
- Horizontal Pad / Vertical Pad – Control aura spread sideways and vertically (ATR-scaled).
- Min Intensity – Filter out weak candles to focus only on significant moves.
- Inner Alpha / Outer Alpha – Control fade from center outward.
- Bull/Bear Aura Colors – Customize glow color by direction.
- Use full wick – Base aura on entire wick or just the candle body.
- Only render last N bars – Improve speed by limiting glow history.
Same-Direction Candles (Two Symbols)Same-Direction Candles (Two Symbols)
What it does
Highlights bars on your chart when two symbols print the same candle direction on the chosen timeframe:
Both Bullish → one color
Both Bearish → another color
Great for spotting synchronous moves (e.g., NQ & ES, QQQ & SPY), or confirming risk-on/risk-off with an inverse asset (e.g., NQ vs DXY with inversion).
How it works
For each bar, the script checks whether close > open (bullish), close < open (bearish), or equal (doji) for:
The chart’s symbol
A second symbol pulled via request.security() (optionally on a different timeframe)
If both symbols are bullish, it paints Bull color; if both are bearish, it paints Bear color. Dojis can be ignored.
Inputs
Second symbol: Ticker to compare (e.g., CME_MINI:ES1!, NASDAQ:QQQ, TVC:DXY).
Second symbol timeframe: Leave blank to use the chart’s TF, or set a specific one (e.g., 5, 15, D).
Invert second symbol direction?: Flips the second symbol’s candle direction (useful for inversely related assets like DXY vs indices).
Ignore doji candles: Skip highlights when either candle is neutral (open == close).
Coloring options: Toggle bar coloring and/or background shading; pick colors; set background transparency.
Alerts
Three alert conditions:
Both Bullish
Both Bearish
Both Same Direction (bullish or bearish)
Create alerts from the Add Alert dialog after adding the script.
Use cases
Index confluence: NQ & ES moving in lockstep
ETF confirmation: QQQ & SPY agreement
FX/Index risk signals: Invert DXY against NQ/ES to see when equity strength aligns with dollar weakness
Tips
For mixed timeframes (e.g., chart on 1m, ES on 5m), set Second symbol timeframe to the higher TF to reduce noise.
Keep Ignore dojis on for cleaner signals.
Combine with your own entry rules (structure, FVGs, liquidity sweeps).
Notes
Works on any symbol/timeframe supported by TradingView.
Overlay script; no strategy/entries/exits are executed.
Past performance ≠ future results; for education only.
Version: 1.0 – initial release (bar/background highlights, doji filter, inversion, multi-TF support, alerts).
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
RSI with Moving Averages[UO] EnhancedWhat This Indicator Does
Displays the RSI (Relative Strength Index) with two customizable moving averages to help identify trend direction and momentum shifts.
Key Features
RSI Line: Shows momentum (overbought above 70, oversold below 30)
Two Moving Averages: Smooth RSI signals and show trend direction
Color-Coded Fills: Visual areas between lines indicate bullish/bearish conditions
Support/Resistance Lines: Bull market support (40) and bear market resistance (60)
Customization Options
Moving Average Types: Choose SMA or EMA for each line
Periods: Adjust RSI (14), First MA (13), Second MA (33)
Visual Elements: Toggle background shading and fills on/off
Colors & Styles: Customize all line colors and widths in Style tab
How to Read It
Green Fill: Second MA below first MA (bullish momentum)
Red Fill: Second MA above first MA (bearish momentum)
RSI Above 70: Potentially overbought
RSI Below 30: Potentially oversold
Perfect for traders wanting enhanced RSI analysis with flexible moving average confirmation signals.
RSI deyvidholnik
📊 Overview
RSI deyvidholnik is an advanced technical indicator that combines the power of traditional RSI (Relative Strength Index) with automatic divergence detection to identify potential market reversal points. This indicator was developed by kingthies and offers clear visual analysis of overbought/oversold conditions along with highly precise divergence signals.
🔧 Key Features
Customizable RSI
Data Source: Configurable (default: close)
Period: Adjustable (default: 14)
Moving Average: Multiple types available (SMA, EMA, SMMA, WMA, VWMA, MMS)
MA Period: Configurable (default: 14)
Divergence Detection
The indicator identifies four types of divergences:
🟢 Bullish Divergence
Occurs when price makes lower lows, but RSI makes higher lows
Indicates possible trend reversal from bearish to bullish
Signaled with green dots on RSI
🔴 Bearish Divergence
Occurs when price makes higher highs, but RSI makes lower highs
Indicates possible trend reversal from bullish to bearish
Signaled with red dots on RSI
🟢 Hidden Bullish Divergence (Optional)
Price makes higher lows while RSI makes lower lows
Confirms continuation of bullish trend
Useful in trending markets
🔴 Hidden Bearish Divergence (Optional)
Price makes lower highs while RSI makes higher highs
Confirms continuation of bearish trend
Useful in trending markets
⚙️ Pivot Settings
Optimized Default Configuration
Right Bars: 1 (quick confirmation)
Left Bars: 5 (noise filtering)
Maximum Bars Between Pivots: 60
Minimum Bars Between Pivots: 3
These settings have been adjusted to provide:
✅ Faster and more responsive signals
✅ Reduction of false signals
✅ Better identification of significant pivots
🎨 Visual Interface
RSI Levels
Line 70: Overbought zone (red)
Line 50: Neutral centerline
Line 30: Oversold zone (green)
Gradient fill: Visually intensifies extreme zones
Graphical Elements
RSI: Main line in white
Moving Average: Smoothed yellow line
Divergence Points: Colored markers on pivots
Background: Subtle fill for better readability
📈 How to Use
For Reversal Trading
Enable only: Bullish and Bearish (default)
Look for: Divergences in overbought/oversold zones
Confirm with: Other indicators or price analysis
For Trend Trading
Enable: Hidden Bull and Hidden Bear
Use in: Markets with clear established trends
Combine with: Market structure analysis
Alert Configuration
The indicator includes automatic alerts for:
⚠️ Bullish Divergence
⚠️ Bearish Divergence
⚠️ Hidden Bullish Divergence
⚠️ Hidden Bearish Divergence
💡 Main Advantages
✅ Automatic Detection: Identifies divergences without manual interpretation
✅ Optimized Configuration: Default values tested for maximum efficiency
✅ Clean Interface: Clear and professional visual
✅ Integrated Alerts: Automatic signal notifications
✅ Flexibility: Multiple customization options
✅ Performance: Optimized code for efficient execution
🎯 Recommended Timeframes
Scalping: 1m, 5m (with more sensitive settings)
Intraday: 15m, 30m, 1h (default configuration)
Swing: 4h, 1D (for medium-term signals)
⚠️ Important Considerations
Not infallible: Always use in conjunction with other analysis methods
Sideways markets: More effective in markets with directional movement
Confirmation: Always wait for signal confirmation before trading
Risk management: Always implement adequate stop-loss and take-profit
Trend Continuation Filter - 🚀 Trend Continuation Filter — Multi-Factor Overlay
This overlay plots bullish / bearish continuation labels & arrows only when the market has enough confluence behind the move. Think of it as your “trend gatekeeper” — cutting out weak setups and highlighting only those with real momentum + structure.
🔍 Built-in Filters
✔ Ichimoku Cloud → trend bias + Tenkan/Kijun confirmation
✔ MACD (12/26/9) → acceleration via histogram slope
✔ RSI / MFI (14) → momentum quality (≥60 bullish / ≤40 bearish)
✔ ADX (14) → strength check (≥20 and rising)
➕ EMA Alignment (9/21/55/233) (optional)
➕ ATR Slope (14) (optional)
🎯 How it works
✅ Prints a Bull Continuation label/arrow when ≥4 filters align to the upside
✅ Prints a Bear Continuation label/arrow when ≥4 filters align to the downside
⚙️ minChecks input lets you adjust the strictness:
• Normal Days → set to 4 (more frequent, flexible)
• Trend Days → raise to 5–6 (fewer, high-conviction setups)
📈 Best Practices
⏰ Focus on London & New York sessions for clean expectancy
🧩 Pair with a HUD/Dashboard panel to see exactly which filters are active
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.
Penguin TrendMeasures the volatility regime by comparing the upper Bollinger Band to the upper Keltner Channel and colors bars with a lightweight trend state. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and a selectable calculation timeframe. Default settings preserve the original look and behavior.
Penguin Trend visualizes 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 Difference” line smooths Diff% (default: SMA(5)) to help spot regime shifts.
Trend coloring (kept from original):
Bars are colored only when Diff > 0 to emphasize expansion phases. A lightweight trend engine defines four states using a fast/slow MA bias and a short “thrust” MA applied to 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).
Note: By default, Blue renders as Yellow to preserve the original visual style. Enable “Use true BLUE color” if you prefer Aqua for Blue.
How it works (under the hood):
* 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: You can choose SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Diff smoothing, and the trend components (VWAP is session-anchored).
* Calculation timeframe: Set “Calculation timeframe” to compute all internals on a chosen TF via request.security() while viewing any chart TF.
Inputs (key ones):
* Calculation timeframe: Empty = use chart TF; if set (e.g., 60), all internals compute on that TF.
* BB: Length, StdDev Mult, MA Type.
* KC: Basis Length, ATR Length, Multiplier, MA Type.
* Smoothing: Average Length & MA Type for the “Average Difference” line.
* Trend Engine: Fast/Slow lengths & MA type; Signal (kept for completeness); Thrust length & MA type (defaults replicate original behavior).
* Display: Paint bars only when Diff > 0; optional Zero line; optional true Blue color.
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: Use bar colors to qualify expansion: Green/Red indicate expansion aligned with trend thrust; Yellow/Blue flag weaker/contrarian thrust during expansion.
3. Multi-timeframe analysis: Run calculations on a higher TF (e.g., H1/H4) while trading a lower TF chart to smooth noise.
Alerts:
* Diff crosses above/below 0.
* Average Diff crosses above/below 0.
* 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.
* Default parameters (SMA(20) for BB/KC, multipliers 2.0, SMA(5) smoothing, trend logic and bar painting) preserve the original appearance.
Release notes:
v6.0 — Rewritten in Pine v6 with structured inputs and guards. Multi-MA support (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP). Calculation timeframe via request.security() for multi-TF workflows. Safe division; optional zero line; optional true Blue color. Original visuals and behavior preserved by default.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
Imbalance No SL📊 Strategy Name: Imbalance No SL
This strategy specially trades on price jumps (true imbalances) in the market, takes advantage of momentum only, and as soon as the opposite signal and profit is received, the trade is closed immediately.
Imbalance No SL strategy specially generates buy and sell signals based on "Imbalance" logic, without any fixed Stop Loss.
🔍 Core Logic
Imbalance Detection
Bullish Imbalance : When the low of the current candle is above the high of the previous candle.
(i.e. a jump type gap occurred in the market – demand is high, price went straight up)
Bearish Imbalance : When the high of the current candle is below the low of the previous candle.
(i.e. the market suddenly fell down)
Creating Visual Box and Label on Signal:
As soon as bullish imbalance is found, green box & IMB BULL label is displayed on the chart.
Bearish has red box & IMB BEAR label.
Trade Entry Logic
BUY on Bullish Imbalance: If there is already a buy or neutral position, then a new “BUY” signal will fire.
SELL on Bearish Imbalance: If already in sell or neutral position, then new “SELL” signal will fire.
You can set quantity/lot size from ‘qty’ input field.
Trade Average Calculation
Buy/Sell maintains average price and their count (so that if averaging is done then correct P&L is calculated).
Trade Exit Logic (Profit Booking/Signal Reverse)
If your buy is going on and bearish imbalance is formed + price is above your average, then buy will be closed (profit condition).
If sell is going on and bullish imbalance is formed + price is below average, then sell will be closed.
Chart Cleaning/Management
Only keep the label and box of the latest signal on the chart, old boxes/labels are automatically deleted.
Alert
You can get alert on bullish or bearish signal (by using alert feature of TradingView).
✅ Simple Explanation for User
This strategy buys or sells directly at the gap (imbalance).
Whenever there is a clear signal of momentum in the market (breakout of the gap), then the trade entry takes place.
When there is an imbalance in the opposite direction and profit is made, the system closes the trade (closes).
There is no fixed stop-loss, risk management is handled by trade averaging/close.
You will know at every point on the visually chart that at which bar the buy, sell and exit took place.
⚠️ What to remember?
If the market is in trend then this script gives very good signals.
In choppy/sideways market, some loss trades can also come because there is no SL.
Big profit or big loss – both depend on the imbalance signal and market speed.
T-Virus Sentiment [hapharmonic]🧬 T-Virus Sentiment: Visualize the Market's DNA
Remember the iconic T-Virus vial from the first Resident Evil? That powerful, swirling helix of potential has always fascinated me. It sparked an idea: what if we could visualize the market's underlying health in a similar way? What if we could capture the "genetic code" of market sentiment and contain it within a dynamic, 3D indicator? This project is the result of that idea, brought to life with Pine Script.
The indicator's main goal is to measure the strength and direction of market sentiment by analyzing the "genetic code" of price action through a variety of trusted indicators. The result is displayed as a liquid level within a DNA helix, a bubble density representing buying pressure, and a T-Virus mascot that reflects the overall mood.
🧐 Core Concept: How It Works
The primary output of the indicator is the "Active %" gauge you see on the right side of the vial. This percentage represents the overall sentiment score, calculated as an average from 7 different technical analysis tools. Each tool is analyzed on every bar and assigned a score from 1 (strong bearish pressure) to 5 (strong bullish potential).
In this indicator, we re-imagine market dynamics through the lens of a viral outbreak. A strong bear market is like a virus taking hold, pulling all technical signals down into a state of weakness. Conversely, a powerful bull market is like an antiviral serum ; positive signals rise and spread toward the top of the vial, indicating that the system is being injected with strength.
This is not just another line on a chart. It's a comprehensive sentiment dashboard designed to give an immediate, at-a-glance understanding of the confluence between 7 classic technical indicators. The incredible 3D model of the vial itself was inspired by a design concept found here .
⚛️ The 4 Core Elements of T-Virus Sentiment
These four elements work in harmony to give a complete, multi-faceted picture of market sentiment. Each component tells a different part of the story.
The Virus Mascot: An instant emotional cue. This character provides the quickest possible read on the overall market mood, combining sentiment with volume pressure.
The Antiviral Serum Level: The main quantitative output. This is the liquid level in the DNA helix and the percentage gauge on the right, representing the average sentiment score from all 7 indicators.
Buy Pressure & Bubble Density: This visualizes volume flow. The density of bubbles represents the intensity of accumulation (buying) versus distribution (selling). It's the "power" behind the move.
The Signal Distribution: This shows the confluence (or dispersion) of sentiment. Are all signals bullish and clustered at the top, or are they scattered, indicating a conflicted market? The position of the indicator labels is crucial, as each is assigned to one of five distinct zones:
Base Bottom: The market is at its weakest. Signals here suggest strong bearish control and distribution.
Lower Zone: The market is still bearish, but signals may be showing early signs of accumulation or bottoming.
Neutral Core (Center): A state of balance or sideways consolidation. The market is waiting for a new direction.
Upper Zone: Bullish momentum is becoming clear. Signals are strengthening and showing bullish control.
Top Cap: The market is "heating up" with strong bullish sentiment, potentially nearing overbought conditions.
🐂🐻 The Virus Mascot: The At-a-Glance Indicator
This character acts as a shortcut to confirm market health. It combines the sentiment score with volume, preventing false confidence in a low-volume rally.
Its state is determined by a dual-check: the overall "Antiviral Serum Level" and the "Buy Pressure" must both be above 50%.
Green & Smiling: The 'all clear' signal. This means that not only is the overall technical sentiment bullish, but it's also being supported by real buying pressure. This is a sign of a healthy bull market.
Red & Angry: A warning sign. This appears if either the sentiment is weak, or a bullish sentiment is not being confirmed by buying volume. The latter could indicate a potential "bull trap" or an exhaustive move.
This mascot can be disabled from the settings page under "Virus Mascot Styling" if a cleaner look is preferred.
🫧 Bubble Density: Gauging Buy vs. Sell Pressure
The bubbles visualize the battle between buyers and sellers. There are two modes to control how this is calculated:
Mode 1: Visible Range (The 'Big Picture' View)
This default mode is best for getting a broad, contextual understanding of the current session. It dynamically analyzes the volume of every single candlestick currently visible on the screen to calculate the buy/sell pressure ratio. It answers the question: "Over the entire period I'm looking at, who is in control?" As you zoom in or out, the calculation adapts.
Mode 2: Custom Lookback (The 'Precision' View)
This mode is for traders who need to analyze short-term pressure. You can define a fixed number of recent bars to analyze, which is perfect for scalping or understanding the volume dynamics leading into a key level. It answers the question: "What is happening right now ?" In the example above, a lookback of 2 focuses only on the most recent action, clearly showing intense, immediate selling pressure (few bubbles) and a corresponding drop in the sentiment score to 29%.
ℹ️ Interactive Tooltips: Dive Deeper
We believe in transparency, not 'black box' indicators. This feature transforms the indicator from a visual aid into an active learning tool.
Simply hover the mouse over any indicator label (like EMA, OBV, etc.) to get a detailed tooltip. It will explain the specific data points and thresholds that signal met to be placed in its current zone. This helps build trust in the signals and allows users to fine-tune the indicator settings to better match their own trading style.
🎯 The Scoring Logic Breakdown
The "Antiviral Serum Level" gauge is the average score from 7 technical analysis tools. Each is graded on a 5-point scale (1=Strong Bearish to 5=Strong Bullish). Here’s a detailed, transparent look at how each "gene" is evaluated:
Relative Strength Index (RSI)
Measures momentum and overbought/oversold conditions.
Group 1 (Strong Bearish): RSI > 80 (Extreme Overbought)
Group 2 (Bearish): 70 < RSI ≤ 80 (Overbought)
Group 3 (Neutral): 30 ≤ RSI ≤ 70
Group 4 (Bullish): 20 ≤ RSI < 30 (Oversold)
Group 5 (Strong Bullish): RSI < 20 (Extreme Oversold)
Exponential Moving Averages (EMA)
Evaluates the trend's strength and structure based on the alignment of multiple EMAs (9, 21, 50, 100, 200, 250).
Group 1 (Strong Bearish): A perfect bearish sequence (9 < 21 < 50 < ...)
Group 2 (Bearish Transition): Early signs of a potential reversal (e.g., 9 > 21 but still below 50)
Group 3 (Neutral / Mixed): MAs are intertwined or showing a partial bullish sequence.
Group 4 (Bullish): A strong bullish sequence is forming (e.g., 9 > 21 > 50 > 100)
Group 5 (Strong Bullish): A perfect bullish sequence (9 > 21 > 50 > 100 > 200 > 250)
Moving Average Convergence Divergence (MACD)
Analyzes the relationship between two moving averages to gauge momentum.
Group 1 (Strong Bearish): MACD & Histogram are negative and momentum is falling.
Group 2 (Weakening Bearish): MACD is negative but the histogram is rising or positive.
Group 3 (Neutral / Crossover): A crossover event is occurring near the zero line.
Group 4 (Bullish): MACD & Histogram are positive.
Group 5 (Strong Bullish): MACD & Histogram are positive, rising strongly, and accelerating.
Average Directional Index (ADX)
Measures trend strength, not direction. The score is based on both ADX value and the dominance of DI+ vs DI-.
Group 1 (Bearish / No Trend): ADX < 20 and DI- is dominant.
Group 2 (Developing Bearish Trend): 20 ≤ ADX < 25 and DI- is dominant.
Group 3 (Neutral / Indecision): Trend is weak or DI+ and DI- are nearly equal.
Group 4 (Developing Bullish Trend): 25 ≤ ADX ≤ 40 and DI+ is dominant.
Group 5 (Strong Bullish Trend): ADX > 40 and DI+ is dominant.
Ichimoku Cloud (IKH)
A comprehensive indicator that defines support/resistance, momentum, and trend direction.
Group 1 (Strong Bearish): Price is below the Kumo, Tenkan < Kijun, and Chikou is below price.
Group 2 (Bearish): Price is inside or below the Kumo, with mixed secondary signals.
Group 3 (Neutral / Ranging): Price is inside the Kumo, often with a Tenkan/Kijun cross.
Group 4 (Bullish): Price is above the Kumo with strong primary signals.
Group 5 (Strong Bullish): All signals are aligned bullishly: price above Kumo, bullish Tenkan/Kijun cross, bullish future Kumo, and Chikou above price.
Bollinger Bands (BB)
Measures volatility and relative price levels.
Group 1 (Strong Bearish): Price is below the lower band.
Group 2 (Bearish Territory): Price is between the lower band and the basis line.
Group 3 (Neutral): Price is hovering around the basis line.
Group 4 (Bullish Territory): Price is between the basis line and the upper band.
Group 5 (Strong Bullish): Price is above the upper band.
On-Balance Volume (OBV)
Uses volume flow to predict price changes. The score is based on OBV's trend and its position relative to its moving average.
Group 1 (Strong Bearish): OBV is below its MA and falling.
Group 2 (Weakening Bearish): OBV is below its MA but showing signs of rising.
Group 3 (Neutral): OBV is very close to its MA.
Group 4 (Bullish): OBV is above its MA and rising.
Group 5 (Strong Bullish): OBV is above its MA, rising strongly, and showing signs of a volume spike.
🧭 How to Use the T-Virus Sentiment Indicator
IMPORTANT: This indicator is a sentiment dashboard , not a direct buy/sell signal generator. Its strength lies in showing confluence and providing a quick, holistic view of the market's technical health.
Confirmation Tool: Use the "Active %" gauge to confirm a trade setup from your primary strategy. For example, if you see a bullish chart pattern, a high and rising sentiment score can add confidence to your trade.
Momentum & Trend Gauge: A consistently high score (e.g., > 75%) suggests strong, established bullish momentum. A consistently low score (< 25%) suggests strong bearish control. A score hovering around 50% often indicates a ranging or indecisive market.
Divergence & Warning System: Pay attention to divergences. If the price is making new highs but the sentiment score is failing to follow or is actively decreasing, it could be an early warning sign that the underlying momentum is weakening.
⚙️ Settings & Customization
The indicator is highly customizable to fit any trading style.
Position & Anchor: Control where the vial appears on the chart.
Styling (Vial, Helix, etc.): Nearly every visual element can be color-customized.
Signals: This is where the real power is. All underlying indicator parameters (RSI length, MACD settings, etc.) can be fine-tuned to match a personal strategy. The text labels can also be disabled if the chart feels cluttered.
Enjoy visualizing the market's DNA with the T-Virus Sentiment indicator
Quarterly Theory —Q1,Q2,Q3,Q4The Quarterly Theory Indicator is a trading tool designed to visualize the natural time-based cycles of the market, based on the principles of Quarterly Theory, popularized by the Inner Circle Trader (ICT). The indicator divides market sessions into four equal “quarters” to help traders identify potential accumulation, manipulation, and distribution phases (AMD model) and improve the timing of entries and exits.
Key Features:
Quarter Divisions (Q1–Q4):
Each market session (e.g., NY AM, London, Asia) is divided into four quarters.
Vertical lines mark the beginning of each quarter, making it easy to track session structure.
Optional labels show Q1, Q2, Q3, and Q4 directly on the chart.
True Open (Q2 Open):
The True Open is the opening price of Q2, considered a key reference point in Quarterly Theory.
A horizontal red line is drawn at the True Open price with a label showing the exact value.
This line helps traders filter bullish and bearish setups:
Buy below the True Open if the market is bullish.
Sell above the True Open if the market is bearish.
Session Awareness:
The indicator can automatically detect market sessions and reset lines and labels for each new session.
Ensures that only the current session’s True Open and quarter lines are displayed, reducing chart clutter.
Timeframe Flexibility:
Works on any chart timeframe (1-minute to daily).
Maintains accurate alignment of quarters and True Open regardless of the timeframe used.
Purpose of Quarterly Theory:
Quarterly Theory is based on the idea that market behavior is fractal and time-driven. By dividing sessions into four quarters, traders can anticipate potential market phases:
Q1: Initial price discovery and setup for the session.
Q2: Accumulation or manipulation phase, where the True Open is established.
Q3: Manipulation or Judas Swing phase designed to trap traders.
Q4: Distribution or trend continuation/reversal.
By visualizing these quarters and the True Open, traders can reduce ambiguity, identify high-probability setups, and improve their timing in line with the ICT AMD (Accumulation, Manipulation, Distribution) framework.
