Nau Pro CheckListMy strategy
1 : Preia lichiditate 1h si intra intrun fvg pe 1h
2 Inchide un fvg, deci formeaza un IFVG
3 Creaza un fvg + confluenta CISD 5 min
4 Entry pe IFVG sau FVG
5 SL deasupra FVGUL creat sau swingului
6 TP pe urmatorul Swing ( tre sa fie minim 2 RR)
المؤشرات والاستراتيجيات
GAP Clean StyleIt simply indicates the gaps between closing/opening candles, without taking wicks into account.
Trend Warning / Direction (EMA20/50)This indicator visualizes trend changes and consolidation phases using the 20 EMA and 50 EMA.
🔹 Trend Signals
• Green triangle (▲): EMA 20 crosses above EMA 50 → bullish trend signal
• Red triangle (▼): EMA 20 crosses below EMA 50 → bearish trend signal
• Crosses are confirmed on candle close to avoid false signals.
🔹 EMA Distance Warning
The indicator highlights low-momentum / squeeze zones when the distance between EMA 20 and EMA 50 falls below a configurable threshold.
• Yellow triangle with number:
Displays the current EMA distance in percent (without the % symbol).
• The warning threshold can be configured individually for each timeframe:
• 1m, 5m, 15m, 30m
• 1h, 4h, 8h
• 1D, 1W
• The active chart timeframe automatically determines which threshold is applied.
🔹 Customization
• Enable or disable EMA distance warnings via settings
• Adjust distance thresholds per timeframe
• Option to limit warning labels to one per bar
• Works on all markets and timeframes
🔹 Use Cases
• Trend identification
• Momentum exhaustion and consolidation detection
• Early warning before potential breakouts
• Trade confirmation in combination with other indicators
This indicator is non-repainting, lightweight, and designed for clean, actionable chart signals.
MACD Divergences + RSI/ADXMACD Divergences + RSI/ADX Indicator
This indicator combines the classic MACD divergence detection with real-time RSI and ADX monitoring in fixed corner labels.
🔹 MAIN FEATURES:
- Automatic MACD divergence detection (Classic & Hidden)
- Visual RSI and ADX labels fixed in the right corner
- Color-coded trend direction (Green: DI+ > DI- | Red: DI- > DI+)
- Customizable MACD settings (Fast/Slow Length, Signal Smoothing)
- Configurable RSI and ADX periods
- Built-in alerts for all divergence types
🔹 DIVERGENCE TYPES:
- Classic Bullish: Price makes lower lows, MACD makes higher lows (Reversal signal)
- Classic Bearish: Price makes higher highs, MACD makes lower highs (Reversal signal)
- Hidden Bullish: Price makes higher lows, MACD makes lower lows (Continuation signal)
- Hidden Bearish: Price makes lower highs, MACD makes higher highs (Continuation signal)
🔹 RSI & ADX DISPLAY:
- Fixed labels in top-right (RSI) and bottom-right (ADX) corners
- Real-time values updated on every bar
- Background color changes based on directional movement (DI+ vs DI-)
- Large, easy-to-read format
🔹 HOW TO USE:
1. Watch for divergence patterns on MACD histogram
2. Monitor RSI for overbought/oversold conditions
3. Check ADX for trend strength (>25 = strong trend)
4. Green labels = Bullish momentum (DI+ > DI-)
5. Red labels = Bearish momentum (DI- > DI+)
🔹 BEST FOR:
- Swing trading on 4H and Daily timeframes
- Trend-following strategies with mo
Custom Reversal Oscillator [wjdtks255]📊 Indicator Overview: Custom Reversal Oscillator
This indicator is a momentum-based oscillator designed to identify potential trend reversals by analyzing price velocity and relative strength. It visualizes market exhaustion and recovery through a dynamic histogram and signal dots, similar to premium institutional tools.
Key Components
Dynamic Histogram (Bottom Bars): Changes color based on momentum strength. Bright Green/Red indicates accelerating momentum, while Darker shades suggest fading strength.
Signal Line: A white line tracing the core momentum, helping to visualize the "wave" of the market.
Buy/Sell Dots: Small circles at the bottom (Mint) or top (Red) that signal high-probability reversal points when the market is overextended.
📈 Trading Strategy (How to Trade)
1. Long Entry (Buy Signal)
Condition 1: The price should ideally be near or above the 200 EMA (for trend following) or showing a Bullish Divergence.
Condition 2: The Histogram bars transition from Dark Red to Bright Green.
Condition 3: A Mint Buy Dot appears at the bottom of the oscillator (near the -25 level).
Entry: Enter on the close of the candle where the Buy Dot is confirmed.
2. Short Entry (Sell Signal)
Condition 1: The price is struggling at resistance or showing a Bearish Divergence.
Condition 2: The Histogram bars transition from Dark Green to Bright Red.
Condition 3: A Red Sell Dot appears at the top of the oscillator (near the +25 level).
Entry: Enter on the close of the candle where the Sell Dot is confirmed.
3. Exit & Take Profit
Take Profit: Close the position when the Signal Line reaches the opposite extreme or when the histogram color starts to fade (loses its brightness).
Stop Loss: Place your stop loss slightly below the recent swing low (for Longs) or above the recent swing high (for Shorts).
💡 Pro Tips for Accuracy
Watch for Divergences: The most powerful signals occur when the price makes a lower low, but the Custom Reversal Oscillator makes a higher low. This indicates "Hidden Strength" and a massive reversal is often imminent.
MACD CFF EditionMACD (19 / 39) – Higher Timeframe Momentum
This indicator is a modified MACD version designed specifically for higher timeframes and structural market moves.
Compared to the standard MACD (12 / 26), the periods are intentionally extended to reduce short-term noise and focus on meaningful momentum and trend shifts.
The classic MACD (12 / 26) reacts very quickly and often produces many signals on lower and mid timeframes that mainly reflect micro-volatility.
Using 19 / 39 deliberately slows the indicator down and filters out movements that lack relevance for higher-timeframe market structure.
Line Explanation
White Line – MACD Line (19–39)
This line measures the distance between short-term and mid-term momentum.
It highlights structural changes in capital flow.
Above zero → bullish structural momentum
Below zero → bearish structural momentum
Green Line – Signal Line
A smoothed version of the MACD line.
Used for confirmation, not for fast entry signals.
Crossovers should be interpreted as context confirmation, not buy or sell commands.
Histogram
Displays the distance between the MACD line and the signal line.
Helps identify whether momentum is:
expanding
or weakening
Intended Use
• Best suited for 4H, Daily and Weekly
• Trend and directional bias filter
• Structural confirmation
• Works best combined with price action and key levels
Not a scalping tool. Not a standalone signal indicator.
20-50 EMA Bear / Bull TrendThis indicator identifies uptrends and downtrends based on confirmed EMA crossovers between the 20 EMA and 50 EMA, using candle close confirmation only to avoid false intrabar signals.
• Green up arrow (↑): EMA 20 crosses above EMA 50 → bullish signal / start of an uptrend
• Red down arrow (↓): EMA 20 crosses below EMA 50 → bearish signal / start of a downtrend
The signals are plotted directly on the chart and can be used to create separate TradingView alerts for bullish and bearish crosses.
Key features:
• Visual identification of uptrends and downtrends
• EMA 20 & EMA 50 plotted on the chart
• Signals confirmed on candle close (non-repainting)
• Clear arrow-based signals instead of text labels
• Selectable alert conditions for bullish and bearish crosses
• Optional support for “Any alert() function call”
This indicator works on all timeframes and is suitable for trend detection, momentum shifts, and trade confirmation.
Anti-Climax and DecelerationThis indicator detects high-probability 3-bar price sequences to highlight potential market turning points, continuations, and expansions. It identifies four types of triangle patterns based on the relationship between three consecutive bars:
1. Break Triangles
Signal potential reversals after a short sequence.
Example: Bear → Bear → Bull or Bull → Bull → Bear.
Plotted as Green (UP) / Red (DOWN) triangles.
2. Compression Triangles
Detect inside / absorption setups where price is consolidating before a possible directional move.
Example: Bars staying within Bar 1’s high/low range.
Plotted as Orange dots.
3. Expansion Triangles
Identify strong continuation moves, where each bar breaks the high/low of the previous bar in the same direction.
Plotted as Purple dots.
Features:
Non-repainting, bar-close confirmed signals.
Works on any timeframe.
Easy visual cues for Break, Compression, and Expansion patterns.
Designed to integrate with SMC concepts, FVG, or Swing Point analysis.
How to Use:
Look for triangle or dot signals at key support/resistance or supply/demand zones.
Combine with trend direction or higher timeframe bias for higher-probability trades.
Use Break signals for reversal setups, Compression signals for absorption or liquidity hunts, and Expansion signals for strong trend continuation.
ZenAlgo - Coin XA multi input Z Score framework that compares the behavior of a selected symbol against several market wide aggregates: total crypto market metrics, alternative asset baskets, stablecoin dominance, Bitcoin, and risk composites. The script processes each data stream into comparable normalized values, evaluates their relationships, and derives a set of bias states, alerts, and real time conditions.
Data Preparation and Normalization
The indicator starts by gathering multiple reference series:
The chart ticker.
A basket representing non Bitcoin crypto assets.
Bitcoin market data.
Several total market variations (full, without Bitcoin, and additional categories).
A stablecoin dominance series.
A macro risk composite.
A daily anchored average used for context.
Each series is transformed into a normalized value using a lookback window. This produces multiple comparable Z Scores that reflect how far each series currently sits from its typical range. Smoothing is optionally applied to macro based values to reduce noise. These normalized values allow consistent comparisons across unrelated instruments.
This works because Z Score based normalization removes scale differences and makes directional deviations directly comparable across many independent metrics, which is necessary when the script later evaluates their relationships.
Cross and Momentum Detection
The script then evaluates structural interactions between the normalized series:
Whether one group rises above or falls below another.
Whether any of the series crosses over or under another.
Whether each series is currently advancing or declining.
Whether price is above or below the daily anchored average.
Whether stablecoin dominance is rising or falling.
Whether a sharp directional change occurs within a single bar.
Whether a multi threshold movement happens within a defined number of bars.
These checks capture relative strength shifts across the market. For example, an increase in the ticker combined with a decline in dominance suggests capital rotation toward the ticker, while the opposite suggests defensive flows. Using normalized changes allows these comparisons to be scale independent.
Combined Bias Logic
The indicator then evaluates a hierarchy of conditions that combine normalized relationships, momentum, and sharp movement checks. Each condition corresponds to a specific market state. The script tests the conditions in a defined order because later conditions depend on earlier structural checks.
Examples of combined evaluations include:
Cases where the ticker and alternative asset basket rise together while dominance declines.
Cases where both the ticker and alternatives fall together under a rising dominance series.
Conditions where several aggregates cross above or below dominance simultaneously.
Cases where multiple aggregates show coordinated sharp rises or sharp declines.
Situations where stablecoin dominance rises during weakness of other groups.
Situations where stablecoins fall while the ticker strengthens.
Conditions where the ticker rapidly moves through several thresholds in a short period.
The script assigns a bias label that corresponds to the earliest satisfied condition. This design ensures that highly distinctive and rare states take priority over broader or more common states. The reasoning behind this is that specific coordinated market moves provide clearer view than general divergence or simple momentum alone.
Crash and Pump Amplification
The script includes a section that detects extreme scenarios by combining several coordinated factors:
Very negative or very positive normalized values across multiple aggregates.
Sharp bar by bar declines or rises across key series.
Simultaneous movement in the risk composite and dominance.
These checks amplify certain bias states when market conditions show synchronized extreme movement. This provides additional clarity when multiple parts of the market behave in the same direction beyond typical deviation. The logic relies only on the relationships of the normalized values and their changes.
Fast Movement Detection
Two additional mechanisms evaluate movements over a short multi bar window.
A fast ticker move is detected when the current normalized ticker value differs from one several bars ago by multiple threshold increments.
A fast stablecoin rise or fall is detected using a step based method. The script checks for progression through sequential levels across the window while verifying whether the ticker moves in agreement or disagreement with the direction.
These mechanisms are intended to identify sudden acceleration or deceleration that standard normalized changes may not fully capture.
Season Scale
The script calculates a quantitative scale from minus 100 to plus 100 by evaluating several binary conditions:
Whether the ticker is above or below the alternative basket.
Whether the alternative basket is above or below dominance.
Whether the ticker and alternative basket are rising or falling.
Whether dominance is rising or falling.
Optionally whether price is above or below the anchored average.
Each condition contributes positively or negatively. The weighted combination produces the season value which is rounded. The naming of the state (Full Bull, Neutral, Full Bear etc.) is derived from where the score falls on the range.
This works because combining several directional tests across related groups provides a compressed singular measure of market structure.
Divergence Detection
The script includes divergence logic for Bitcoin, the alternative asset basket, and the chart ticker. It evaluates pivot highs and lows in price and compares them with pivot highs and lows in their respective normalized values. The script checks for pairs of pivot points where price moves in one direction while the normalized oscillator moves in the opposite. Both regular and hidden forms are evaluated.
This works because divergences highlight points where price and its normalized deviation disagree which often marks a structural imbalance.
Table Output
If enabled, the indicator displays a table showing the current normalized values of all monitored series along with color backgrounds reflecting structural relationships identified earlier. This supports interpretation without opening additional charts.
Visual Lines and Background
The script draws horizontal reference lines for several normalized levels using a fading mechanism if ghost mode is enabled. The background color changes according to the main season logic and intensifies with market wide deviations. Optional pulse effects are triggered when the bias state changes.
This works because visual context helps understand how extreme the current market state is relative to its typical historical range.
Alerts
The indicator creates alerts for all important structural states:
Bias state changes.
Fast ticker moves.
Fast stablecoin rises or falls.
Divergence based triggers.
Cross conditions corresponding to notable structural transitions.
These alerts correspond exactly to the logical conditions already described.
Added Value Compared to Free Alternatives
It evaluates many separate market wide aggregates simultaneously rather than relying on a single comparison.
It uses a consistent normalized framework so unrelated metrics become comparable.
It identifies multi series coordinated shifts which many simpler indicators cannot detect.
It provides a full deterministic bias state hierarchy that removes interpretation ambiguity.
It includes fast movement evaluation through multi level and multi bar logic.
It combines multiple categories of divergences with normalized values rather than only price based oscillators.
It provides a unified season value derived from several independent binary conditions.
Limitations and Situations Where It May Fall Short
Normalized values depend on the chosen lookback window and may behave differently under unusual volatility regimes.
If reference data feeds are incomplete or delayed the relationships may briefly reflect distorted values.
Extreme single bar events can cause temporary exaggeration of normalized values before stabilization.
Divergence detection depends on identifying pivots which may repaint until the pivot is confirmed.
Bias states rely on hierarchical evaluation so rare but extreme conditions will override more common states by design.
Sudden changes in stablecoin supply or methodology on the data source may influence stable dominance readings.
How to Interpret the Values
Positive normalized values indicate movement above the typical range while negative values indicate movement below the typical range.
The relationships between the ticker, the alternative asset basket, dominance, and the risk composite define the structural meaning of each bias.
The season value near plus 100 means most bull related conditions are simultaneously satisfied while near minus 100 means most bear related conditions are satisfied.
Sharp rise or fall conditions indicate abrupt movement beyond the usual deviation.
Cross conditions indicate structural transitions such as the ticker moving above or below another aggregate.
Divergences indicate inconsistency between price action and normalized deviation.
Best Practices for Practical Use
Use the bias state as a structural context rather than a direct entry or exit trigger.
Observe whether multiple aggregates align in the same direction since the script is designed around confirming coordinated behavior.
Combine the season value with the main bias state to evaluate whether short term view agree with broader conditions.
Use fast movement alerts for monitoring sudden volatility or intraday acceleration.
Use divergence conditions to identify potential exhaustion points when the main bias does not align with price behavior.
Reference the table and background colors for a quick visual overview of how several groups relate in the current moment.
ADX&DIThis is an enhanced version of the classic ADX and Directional Movement Index (DMI). It is designed to filter out ranging markets and visually highlight trend strength.
Key Features:
Dual Threshold System:
Level 1 (Default 20): Signals the start of a trend. The background fill appears with high transparency.
Level 2 (Default 25): Signals a strong trend. The background fill becomes more opaque/solid to indicate momentum.
Visual Clarity: The area between DI+ and DI- is only filled when the ADX is above your defined thresholds. This helps you ignore noise in low-volatility environments.
Clean Settings: The logic is optimized so you can easily adjust colors and transparency directly in the "Style" tab without cluttered input menus.
IQR Bands boromeyIQR is the price's "comfort zone," covering the middle 50% of activity.
Inside: Just noise. Ignore it.
Breakout: A real move. Pay attention.
It filters out choppy markets so you only catch the true trends.
Short-Term Swing KingDisclaimer!!!
This script and indicators do not constitute any financial advice. Traders are fully responsible for their own trading decisions, and the script developer is not liable for any losses or gains resulting from the use of this script. Please use with caution and trade rationally. Fans of Chan Theory are welcome to learn and communicate together. QQ: 2508126812
Professional 3SD Institutional Rejection
This indicator identifies institutional "liquidity grab" and "momentum exhaustion" zones using the statistical extremes of 3 Standard Deviations (3SD) on Bollinger Bands. Unlike standard strategies, it doesn't just look for band touches; it confirms price "wicking" outside the 3SD and closing back inside the 2SD band (rejection), while ensuring the Money Flow Index (MFI) shows signs of exhaustion. It is highly effective on 1H, 4H, and Daily timeframes for mean-reversion setups targeting the median line.
MA20 Dual Color Line IndicatorMA20 Dual Color Line Indicator
The MA20 Dual Color Line is a simple yet effective moving average indicator designed to help traders quickly visualize price trends and potential reversal points. It plots a 20-period Simple Moving Average (SMA) that changes color based on the relationship between the current closing price and the moving average itself.
🔶 How It Works
When the close price is above the MA20, the moving average line turns green, suggesting a potential bullish trend.
When the close price is below the MA20, the line turns red, indicating a possible bearish trend.
If the price is exactly at the MA20, the line remains white, highlighting a neutral or decision point.
📈 Ideal For
Identifying trend direction at a glance
Spotting support and resistance levels around the MA20
Enhancing visual analysis without cluttering the chart
🛠 Features
Clean and customizable line width
Real-time color switching based on price action
Overlay display to keep charts organized
This indicator is perfect for traders who prefer a clear, color-coded visual aid to complement their trading strategy. Whether you’re a beginner or an experienced trader, the MA20 Dual Color Line helps you stay aligned with the short-term trend.
Trading Monster - XAUUSD Trend ValidatorTrading Monster – XAUUSD Trend Validator is an invite-only confluence and market condition filter designed for intraday analysis of XAUUSD on the 15-minute timeframe.
This indicator does not generate trade entries by itself. Instead, it validates trade setups by analyzing trend alignment and market conditions, helping traders decide when to participate and when to stay out.
The Trend Validator is intended to be used alongside a primary signal or trend-following system to improve discipline and avoid unfavorable market phases.
How to Use
• Recommended symbol: XAUUSD
• Recommended timeframe: 15 minutes
• Use this indicator as a confirmation layer, not as a standalone signal
• If market conditions are unfavorable, traders are advised to wait or avoid entries
Important Notes
• This script is for educational and analytical purposes only
• It does not execute trades or provide financial advice
• All trading involves risk; users must apply proper risk management
• Past performance does not guarantee future results
Stochastic X-Score Signal📊 Stochastic X-Score Signal
This indicator is designed to analyze market momentum, direction, and strength in a single tool.
It combines Z-Score, Stochastic, Trend Filter, ADX/DI, and Volume to filter out high-quality trading signals.
🎯 Key Highlights
Measures price deviation using Z-Score
Converts data into Stochastic (0–100) to identify Overbought / Oversold
Uses HMA + ALMA to separate short-term momentum from long-term trend
Offers 4 signal sources, adjustable to different trading styles
Includes a Trend Filter to distinguish with-trend vs against-trend signals
Confirms real market strength with ADX/DI and Volume Gauge
⚙️ Signal System
🔺 BUY / 🔻 SELL from Reversal, Z-Score, ALMA, or MA Cross
With-trend signals = darker colors (stronger confirmation)
Against-trend signals = lighter colors (higher risk)
📊 Signal Quality Confirmation
ADX > 25 = strong trend
DI+ / DI- defines trend direction
Volume Candles clearly show buy vs sell pressure
🎨 Visualization
On-chart signals (Triangles + Bar Colors)
Indicator panel: Z-Score Histogram, Oscillator, ALMA, OB/OS zones
Gauge table for instant trend strength reading
🔔 Alerts Included
Bullish / Bearish (with-trend & against-trend)
MA Golden / Death Cross
Strong / Weak Trend alerts
High Buy / Sell Volume alerts
💡 Best For
Trend & Pullback traders
Traders who prefer one powerful indicator instead of many
Those who need signals with full market context
⚠️ This indicator is a market analysis tool and does not guarantee profits.
Always apply proper risk management when trading.
💬 Interested in our Indicator? Feel free to contact us via INBOX
📱 Facebook Page: Overdue Logic Indicator
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NQ vs ES-RTY-YM DivergenceNQ vs ES-RTY-YM Divergence Indicator: Complete Guide
What This Indicator Does
This indicator measures the relative performance of Nasdaq futures (NQ) compared to a composite average of other major US index futures (ES/S&P 500, RTY/Russell 2000, and YM/Dow Jones). It normalizes price data to create a clear comparison between tech-heavy Nasdaq and the broader market, helping identify sector rotation, relative strength, and potential trading opportunities.
How It Works
The indicator performs these calculations:
Data Collection: Retrieves closing prices for NQ, ES, RTY, and YM futures
Composite Creation: Averages ES, RTY, and YM to create a "broader market" composite
Normalization: Applies min-max scaling to both NQ and the composite over a lookback period (default: 20 bars)
This transforms values to a range between 0 and 1
Formula: normalized_value = (current_price - lowest_low) / (highest_high - lowest_low)
Divergence Calculation: Subtracts the normalized composite from normalized NQ
Formula: divergence = nq_normalized - composite_normalized
Result ranges from -1.0 (extreme NQ underperformance) to +1.0 (extreme NQ outperformance)
Visual Elements
The indicator displays:
Blue line: Normalized NQ performance (0-1 range)
Orange line: Normalized composite performance (0-1 range)
Histogram:
Green bars: Positive divergence (NQ outperforming composite)
Red bars: Negative divergence (NQ underperforming composite)
Zero line: Neutral reference point
Overbought/oversold lines: Customizable thresholds (default ±0.1)
Information table: Current divergence value (only in non-MTF version)
Interpreting the Indicator
Divergence Value s
Positive values (0 to +1): NQ outperforming the composite
The higher the value, the stronger the relative outperformance
Negative values (0 to -1): NQ underperforming the composite
The lower the value, the stronger the relative underperformance
Zero: Equal normalized performance between NQ and composite
Significant Levels
Crossing above bullish threshold (default +0.1): Significant tech sector strength
Crossing below bearish threshold (default -0.1): Significant tech sector weakness
Extreme readings (near ±0.3 or beyond): Potentially overextended moves that might reverse
Practical Applications
Market Analysis
Sector rotation identification: Detect shifts between tech and other sectors
Market regime analysis: Tech leadership often indicates risk-on conditions
Divergence warnings: When price trends differ from relative strength trends
Trading Approaches
Momentum trading: Enter NQ positions when divergence shows increasing strength
Mean reversion: Consider counter-trend positions at extreme readings
Confirmation tool: Use alongside price patterns and other indicators
Relative performance trading: Guide allocation between tech and broader market exposure
Customization Options
The indicator offers several parameters:
Normalization Window: Controls the lookback period for min-max calculations
Shorter (5-10): More responsive, noisier
Longer (20-50): Smoother, slower to respond
Overbought/Oversold Levels: Customize based on your threshold preferences
Tighter levels (±0.05): More frequent signals
Wider levels (±0.2): Only the most extreme divergences
Alert Thresholds: Set when you want to be notified of significant changes
These determine when alert conditions trigger
Display Options: Customize colors and visual elements
Key Considerations
The indicator normalizes data within a rolling window, so extreme readings are relative to recent history, not absolute
Works best on futures markets with liquid contracts to ensure accurate relative performance measurement
Most effective when used to complement price action analysis rather than in isolation
The zero line represents equal normalized performance, not equal price performance (due to the normalization process)
By tracking this specialized form of relative performance, the indicator provides insights into market dynamics that aren't obvious from price action alone, helping traders identify potential shifts in market leadership between technology and other sectors.
Standard Deviation Vidya Moving Average | QuantLapseStandard Deviation Vidya MA by QuantLapse
Overview
The Standard Deviation Vidya MA indicator by QuantLapse is an dynamic and unique trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a statistical measure of standard deviation to assess trend strength, direction and volatility. By utilizing adaptive smoothing and volatility adjustment this indicator provides a more responsive and robust signal framework for traders.
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Technical Composition, Calculation, Key Components & Features
📌 VIDYA (Variable Index Dynamic Average)
An adaptive moving average that automatically adjusts its sensitivity based on prevailing market volatility.
Employs a volatility-weighted smoothing constant derived from standard deviation ratios, allowing the average to respond faster during high-momentum phases and slow down during consolidation.
Reduces lag during trend expansion while suppressing noise in low-volatility environments.
Provides clearer trend structure and regime awareness compared to fixed-length moving averages.
Serves as a dynamic baseline for volatility envelopes and trend-state classification within the system.
📌 Volatility Adjustment – Standard Deviation
The system constructs a volatility-adaptive envelope around the VIDYA baseline using standard deviation, allowing band width to expand and contract dynamically with changing market conditions.
VIDYA’s smoothing factor is adjusted by comparing short-term and longer-term standard deviation, increasing responsiveness during volatility expansion and dampening noise during compression.
Upper and lower bands are calculated by applying a configurable standard deviation multiplier to the VIDYA value, creating a proportional volatility boundary rather than a fixed offset.
Price movement beyond these bands confirms volatility-supported momentum, while price contained within the bands signals consolidation or transitional phases.
📌 Trend Signal Calculation
A bullish trend state is triggered when price closes above the upper standard deviation band, indicating sustained upward momentum with volatility confirmation.
A bearish trend state is triggered when price closes below the lower band, confirming downside momentum under expanding volatility.
Once established, the trend state persists until an opposing volatility break occurs, reducing whipsaw and improving regime stability.
Trend direction is visually reinforced through dynamic color-coding of the VIDYA line and its envelope, providing immediate directional context at a glance.
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How It Works in Trading
✅ Trend Strength Detection – Evaluates cumulative price movement over a defined window to assess directional conviction.
✅ Noise Reduction – Applies adaptive smoothing techniques to minimize whipsaws during choppy conditions.
✅ Dynamic Thresholding – Utilizes volatility-aware bands to define customizable trend continuation and invalidation levels.
✅ Color-Coded Visualization – Enhances chart readability by clearly distinguishing bullish, bearish, and neutral states.
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Visual Representation
Trend Signals on Moving Average and Background Color:
🟢 Green/Teal Moving Average – Strong Uptrend
🔴 Red/Pink Candles – Strong Downtrend
✅ Long & Short Labels can be turned on or off for trade signal clarity.
📊 Display of entry & exit points based on entry and exit criteria's.
📊 Display of Indicators equity and buy and hold equity to compare performance.
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Features and User Inputs
The Standard Deviation Vidya MA framework incorporates a flexible set of user-defined inputs designed to balance adaptability, clarity, and analytical control.
VIDYA Configuration – Customize the Variable Index Dynamic Average length and price source to control trend responsiveness based on volatility-adjusted smoothing.
Volatility & Deviation Controls – Adjust standard deviation lookback periods and multipliers to fine-tune adaptive upper and lower thresholds used for trend qualification.
Backtesting & Date Filters – Define a start date for historical evaluation and enable range filtering to analyze performance during specific market periods.
Display & Visualization Options – Toggle labels, equity curves, and visual overlays to tailor the chart presentation to personal trading preferences.
Color Customization – Fully configurable buy/sell colors for both trend signals and equity curves, allowing intuitive visual differentiation between bullish and bearish phases.
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Practical Applications
The Standard Deviation VIDYA MA is designed for traders seeking an adaptive trend-following framework that dynamically responds to changing market volatility. By combining VIDYA’s volatility-sensitive smoothing with standard deviation–based thresholds, the indicator offers a robust approach to directional analysis across multiple market conditions.
Key applications include:
Adaptive Trend Identification – Detect sustained bullish and bearish trends using a volatility-adjusted moving average that automatically accelerates or slows based on market activity.
Volatility-Aware Entry & Exit Signals – Utilize standard deviation bands to define dynamic breakout and invalidation zones, helping reduce false signals during low-volatility consolidation phases.
Noise-Filtered Trend Participation – Avoid whipsaws by requiring price expansion beyond adaptive deviation thresholds before confirming trend direction.
Systematic Backtesting & Evaluation – Analyze historical trend performance using built-in equity curves and date filters to assess effectiveness across different market regimes.
Visual Trend Confirmation – Leverage color-coded VIDYA lines, deviation zones, and optional labels to clearly interpret trend state and momentum strength in real time.
This framework bridges volatility analysis with adaptive trend logic, providing a disciplined and data-driven method for trend participation while maintaining clarity and interpretability in live trading environments.
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Conclusion
The Standard Deviation VIDYA MA by QuantLapse represents a modern evolution of adaptive trend analysis, blending volatility-weighted smoothing with statistically driven deviation thresholds. By integrating VIDYA’s responsiveness with standard deviation-based confirmation, the system delivers clearer trend structure, reduced noise, and more reliable directional context across varying market regimes.
This indicator is particularly well-suited for traders who value adaptability, clarity, and rule-based decision-making over static moving average techniques.
🔹 Who should use Standard Deviation VIDYA MA:
📊 Trend-Following Traders – Identify and stay aligned with sustained directional moves while avoiding premature reversals.
⚡ Momentum Traders – Capture volatility-supported expansions when price breaks beyond adaptive deviation bands.
🤖 Systematic & Algorithmic Traders – Ideal as a volatility-aware trend filter for rule-based entries, exits, and portfolio frameworks.
🔹 Disclaimer: Past performance does not guarantee future results. All trading involves risk, and no indicator or methodology can ensure profitability.
🔹 Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your personal risk tolerance, timeframe, and market conditions before deploying the indicator in live trading.
Advanced custom multi MA signals (EMA/SMA/VWMA/VWAP) Features of Multi Moving Averages
The biggest enemy in trading is "Noise." If you get swayed by minute fluctuations on the chart, you end up missing the forest for the trees.
This indicator (Advanced Custom Multi MA Signals) is not just a simple line. By combining the three core elements of Price, Time, and Volume, it acts as a navigation system that visualizes the market's "true trend." In particular, the ability to analyze 5 moving averages simultaneously across various timeframes is akin to viewing a 3D map of the battlefield.
Understanding Core Concepts
This indicator supports 4 types of moving averages. It is crucial to clearly understand the nature of each tool.
SMA (Simple Moving Average): The most basic average value. Since it produces fewer whipsaws (false signals), it is used as a baseline to judge the "long-term trend."
EMA (Exponential Moving Average): Places more weight on recent prices. It reacts sensitively to market changes, making it advantageous for identifying "entry points."
VWMA (Volume Weighted Moving Average): Incorporates "volume" into the price calculation. It acts as a "false signal filter," weeding out price moves that aren't backed by trading volume.
VWAP (Volume Weighted Average Price): The benchmark price used by institutional investors for daily trading. It is calculated based on the session, regardless of the period settings. It is considered the "lifeline" of day trading.
Indicator Settings Guide
Open the settings window and tune it to fit your trading style.
MA 01 ~ 05 (Moving Average Settings)
MA Type: Select according to your purpose. (Generally, EMA is recommended for short-term analysis, SMA/VWMA for long-term).
Length: Enter the period you wish to analyze (e.g., 20, 60, 120, 200).
Timeframe: This is the core feature. It allows you to overlay moving averages from a higher timeframe (e.g., 4-hour, Daily) onto the chart you are currently viewing (e.g., 15-minute).
Signal Option (Trading Signals)
Golden Cross (GC) / Death Cross (DC): Captures the moment the short-term line breaks through the long-term line. You can run up to 3 strategies simultaneously.
Ribbon Gradient (Trend Visualization)
Represents the gap between two moving averages with color. As the color deepens and the width expands, it indicates a powerful trend; if the width narrows, it suggests a high probability of a trend reversal.
5 Usage Strategies
The highlight of this indicator is the cross strategy utilizing the "Multi-Timeframe (MTF)" feature. Familiarize yourself with the 5 example strategies below and set up your own strategy based on your expertise.
💡 Tip 1. Do not go against the "Major Trend" (The Authority of the Weekly Candle)
Settings: Set MA5 to .
Interpretation: The Weekly 50 line is the "major trend line" managed by institutions and market makers. If the current price is above this line, maintain only a "Buy (Long)" bias; if below, maintain only a "Sell (Short)" bias. Adhering to this rule alone can help you avoid massive losses.
💡 Tip 2. Highly Reliable "Swing Signal" (Daily Golden Cross)
Settings: In Signal 1, configure the Short MA to and the Long MA to .
Interpretation: A Golden Cross where the 4-Hour 50 EMA breaks above the Daily 50 EMA often signifies a major "trend reversal" rather than a temporary rebound. This provides an ideal entry signal for office workers or swing traders who need high reliability.
💡 Tip 3. 4-Hour Candle as the Standard for "Precision Entry"
Situation: When the Daily trend is rising (Bullish alignment).
Strategy: While watching the 15-minute or 1-hour chart, set the indicator's Signal 2 to the cross of and .
Interpretation: When the Daily chart is in an uptrend, a Golden Cross occurring on the 4-Hour chart marks "the point where a correction (pullback) ends and the rise resumes." This is the entry point with the best risk-to-reward ratio.
💡 Tip 4. Filtering Out "Fake Signals" (The Secret of Volume)
Strategy: When creating a cross signal, try using VWMA (Volume Weighted) for the Long MA, even if you use EMA for the Short MA.
Reason: A Golden Cross caused simply by a rise in price can be a trap. However, if it breaks through the heavy VWMA line accompanied by volume, it is strong evidence that "genuine liquidity" has entered.
💡 Tip 5. Remember the "Hierarchy" (Higher Timeframe Priority Rule)
Principle: If a Golden Cross (Buy Signal) appears on the 4-Hour chart, but the Daily chart is in a Death Cross (Sell Signal) state, do not enter.
Interpretation: A signal from a lower timeframe cannot overcome the power of a higher timeframe. The professional approach is to trade with significant volume only when signals align (Sync) in the order of Weekly > Daily > 4-Hour. Keep this indicator's dashboard feature on and always check the status of higher timeframes.
Signal Generation Principle (Operating Mechanism)
Signals are generated when the set short-term moving average and long-term moving average cross each other.
📈 1. Golden Cross (BUY = Buy Signal)
Situation: The moment the short-term MA crosses upward from below the long-term MA.
Principle: It implies that recent buying pressure has broken through the resistance level accumulated over a long period.
📉 2. Death Cross (SELL = Sell Signal)
Situation: The moment the short-term MA crosses downward from above the long-term MA.
Principle: It implies that recent selling pressure has collapsed the long-term support line.
※ If the candles are not displaying correctly or are flickering, please set the indicator's 'Visual order' to 'Bring to front' as shown in the image below.
Investment Caution and Disclaimer
Before using this indicator for actual trading, please strictly read the contents below.
① Auxiliary indicators are a "Compass," not a "Book of Prophecy."
This indicator is merely a tool that mathematically calculates and visualizes past price data. A "magic indicator" that predicts future price fluctuations 100% accurately or guarantees profit does not exist. The signals provided are for reference only and must never be the sole basis for entry/exit decisions.
② The responsibility for all investments lies with "Yourself."
Financial investment (Cryptocurrencies, Stocks, Futures, etc.) involves high volatility and is a risky activity that can result in the loss of some or all of the principal. The final responsibility for all trading results (profits and losses) incurred by utilizing this indicator lies entirely with the investor. The distributor and developer accept no legal responsibility for investment results under any circumstances.
③ Past data does not guarantee the future.
Even a Golden Cross that fit perfectly in backtesting or past charts may operate differently in tomorrow's market situation (News, Macroeconomics, Unexpected Variables, etc.). Do not rely solely on technical analysis; you must conduct fundamental analysis and risk management in parallel.
④ Risk management is the top priority.
No matter how promising a signal appears, "all-in trading" (investing all assets in a single trade) is a shortcut to bankruptcy. More important than the indicator itself is adhering to the principles of strict scaling in (split buying) and Stop-Loss.
HMA1//@version=5
strategy("黄金 HMA + SuperTrend 趋势增强策略", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// --- 1. 输入参数 ---
// HMA 参数
hmaLen = input.int(55, "HMA 长度", minval=1, group="HMA 设置")
// SuperTrend 参数
stFactor = input.float(3.0, "SuperTrend 乘数", step=0.1, group="SuperTrend 设置")
stPeriod = input.int(10, "SuperTrend ATR 周期", group="SuperTrend 设置")
// 离场设置
useAtrSl = input.bool(true, "启用 ATR 动态止损", group="风险管理")
atrSlMult = input.float(2.0, "止损 ATR 倍数", step=0.1, group="风险管理")
// --- 2. 指标计算 ---
// 计算 HMA
hmaValue = ta.hma(close, hmaLen)
// 计算 SuperTrend
= ta.supertrend(stFactor, stPeriod)
// 计算 ATR（用于止损）
atr = ta.atr(14)
// --- 3. 绘图 ---
plot(hmaValue, "HMA 趋势线", color=hmaValue > hmaValue ? color.green : color.red, linewidth=2)
plot(stValue, "SuperTrend 线", color=stDirection < 0 ? color.new(color.teal, 0) : color.new(color.maroon, 0), linewidth=2)
// --- 4. 交易逻辑 ---
// 做多条件：
// 1. 价格在 HMA 之上 且 HMA 正在向上拐头
// 2. SuperTrend 变为看涨方向 (stDirection < 0)
longCondition = close > hmaValue and hmaValue > hmaValue and stDirection < 0
// 做空条件：
// 1. 价格在 HMA 之下 且 HMA 正在向下拐头
// 2. SuperTrend 变为看跌方向 (stDirection > 0)
shortCondition = close < hmaValue and hmaValue < hmaValue and stDirection > 0
// --- 5. 执行与止损逻辑 ---
var float longStop = na
var float shortStop = na
// 入场逻辑
if (longCondition)
longStop := close - (atr * atrSlMult)
strategy.entry("Long", strategy.long, comment="HMA+ST 多")
if (shortCondition)
shortStop := close + (atr * atrSlMult)
strategy.entry("Short", strategy.short, comment="HMA+ST 空")
// 离场逻辑：当 SuperTrend 反转或触及 ATR 止损时离场
if (strategy.position_size > 0)
strategy.exit("Exit Long", "Long", stop=longStop, limit=na, when=stDirection > 0, comment="多单离场")
if (strategy.position_size < 0)
strategy.exit("Exit Short", "Short", stop=shortStop, limit=na, when=stDirection < 0, comment="空单离场")
// 填充背景色以示趋势
fill(plot(stValue), plot(open > close ? open : close), color = stDirection < 0 ? color.new(color.green, 90) : color.new(color.red, 90))
