ZEN LAB ALL-IN-ONEA comprehensive trading tool designed for serious traders who need economic news tracking, session visualization, and volatility measurement all in one clean interface.
KEY FEATURES:
📰 Forex Factory News Integration
*Real-time high-impact news events and holidays
*Customizable news table with today/weekly views
*On-chart news labels and vertical lines
*Automatic currency detection based on your chart symbol
*Custom timezone support
📊 ATR Display (Average True Range)
*SMA-based ATR calculation
*Rounded whole numbers for easy reading
*Fully customizable position (9 locations)
*Adjustable length period (default 20)
*Custom colors and sizing options
🌍 Trading Session Boxes
EST BASED BY DEFAULT (CAN CHANGE)
*Asian Session: 20:00 - 23:00
*London Session: 03:00 - 06:00
*New York Session: 09:30 - 11:00
*Semi-transparent gray boxes
*Session labels (toggleable)
*Individual session toggles
📈 13 EMA (Exponential Moving Average)
*Default 13-period EMA for trend identification
*Adjustable period to fit your strategy
*Customizable color and line width
*Toggle on/off as needed
PERFECT FOR:
*News traders who need to track high-impact events
*Session traders focusing on specific market hours
*Volatility traders using ATR for position sizing
*Multi-timeframe analysis (30-second to daily charts)
ZEN LAB STUDENTS WHO TOOK ENTIRE YOUTUBE FREE COURSE
CLEAN & CUSTOMIZABLE:
All visual elements can be toggled on/off and positioned to match your trading setup. Fixed styling ensures consistency while maintaining full control over what you see.
Movingavarage
Hour-End SMAThis indicator calculates a Simple Moving Average using true RTH hour-end prices (10:00–16:00 ET), solving TradingView’s 1H RTH candle misalignment issue.
The SMA is derived from 30-minute bars to ensure sufficient historical depth, making it reliable even for large lengths such as SMA100 and SMA200.
Designed for traders who rely on hour-end moving averages while working in TradingView.
Example: Hour-End SMA matches TC2000 Simple Moving Average values
Programmers Toolbox of ta LibraryA programmer's "Swiss army knife" for selecting functions from the " ta Library by Trading View " during coding. Illustrates the results of the individual library functions. Adds a few extra features. Extensively and uniquely documented.
3 EMA with Alerts 2025This indicator plots three key EMAs (20, 50, and 200) directly on the chart, making it easy to track short-, medium-, and long-term trends. A color-coded table is displayed in the top-right corner for quick reference.
The script also includes smart alerts that trigger only when the state changes:
• 🔵 EMA 20 crossing above EMA 50 & EMA 200 → Bullish signal
• 🔴 EMA 20 crossing below EMA 50 & EMA 200 → Bearish signal
This tool is designed for traders who want clean visuals, reliable alerts, and simplified trend recognition in 2025 markets.
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology
The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure.
Key Components:
Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading.
Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action.
Smart Confluence Zones (Originality):
The script calculates a background "State" based on multiple factors.
Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA.
Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA.
This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned.
█ How to Use
Entry: Wait for a "Triangle" signal (Buy/Sell).
Validation: Check the Background Color. Is it highlighting a Confluence Zone?
Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup.
Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution.
Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
Shezab AlgoLabs EMA Trend UtilityOverview
This tool is a clean and practical EMA trend utility built to help traders quickly understand market direction, trend regime, and momentum shifts. It plots a fast EMA and slow EMA using a branded color theme and highlights transitions between bullish and bearish conditions. The script also includes optional visual crossover markers to make regime changes easier to spot.
How it works
The relationship between the fast and slow EMA is used to classify the trend environment:
When the fast EMA is above the slow EMA, the market is considered in a bullish phase.
When the fast EMA is below the slow EMA, the market is considered in a bearish phase.
The script also provides optional:
Colored bars reflecting trend direction
Crossover labels to highlight momentum shifts
Background cloud to visually emphasize trending or neutral conditions
Optional alerts for crossover events
These visual features help traders recognize potential trend transitions without implying a complete trading system.
How to use it
This tool is designed as a supplemental decision aid. Traders can combine it with their preferred structure analysis, volume tools, oscillators, or confirmation methods. The crossover markers and alerts highlight shifts in trend behavior but are informational rather than mechanical buy/sell signals. Users should apply their own risk-management and entry criteria.
Originality
This script goes beyond a standard EMA by combining multiple elements into a single, cohesive trend-clarification tool:
• regime coloring
• optional cloud regions
• crossover markers
• visual dynamic styling using a unified aesthetic palette
It is not a mashup of existing scripts; all components are integrated specifically to support traders who prefer a simple-yet-clear visual framework for understanding trend behavior.
Multi-MA Flow [longshorti]Multi-MA Flow
A versatile Moving Average indicator designed to visualize Trend Flow and identify key dynamic support/resistance levels. It features up to five customizable MAs and highlights the zone between the fast and slow MAs for a clear display of trend strength and direction.
🌟 Key Features
Dynamic Trend Flow (MA Flow Zone): The indicator colors the zone between the Fast MA (MA 2) and the Slow MA (MA 5). The fill visually represents trend direction and its Momentum (Divergence/Convergence) .
Trend Momentum Visualization: The fill color intensity and contrast signal trend strength. For example, Vibrant Fill indicates MA divergence, while Muted Fill signals convergence.
Flexible Moving Average System: Supports up to five (5) customizable MA lines (MA 1 through MA 5), each with independent period and visibility settings.
Supported MA Types: The indicator allows changing the type for all MAs to: EMA, SMA, WMA, or RMA .
Visual Notifications: Includes optional 'R' Retest Labels for finding potential entries on MA 2 and MA Value Labels showing current MA prices on the last bar.
Full Customizability: The entire color scheme, periods, and visibility of all elements are fully adjustable to suit any chart theme.
⚙️ Detailed Customization & Control
General Settings: Selects the Moving Average Type ( EMA, SMA, WMA, RMA ) for all MA lines.
MA Lines (5x): You can independently control Show/Hide , Period , Color , and Width for each of the five MA lines.
Flow Zone Fill:
The Enable MA2/MA5 Fill option allows you to toggle the flow zone visualization on or off.
You also define the Bullish/Bearish Fill Colors .
Labels & Retest: Control the visibility of MA Value Labels and the unique 'R' Retest Markers on MA 2.
Global Color: An option to override all line colors with a single selected Global Color .
💡 How to Use
Trend Direction: Observe the placement of MA 2 relative to MA 5.
Momentum: Watch the color and width of the fill. Widening lines with bright fill color indicates strong momentum.
Entry/Exit Points: Use the 'R' labels to locate potential retests of the fast MA in the direction of the dominant Flow Zone.
Aarika MultiTimeFrame (AMTF)Hello Traders,
In this indicator, we're using MTF concept. I have kept the same MA type (you have option to choose type like EMA, SMA, HMA, etc from dropdown list) for both the MA length (choose your both lengths wisely to get the maximum output).
You must backtest different lengths, timeframe and MA type that suits your trading style. Given here is the default settings which i think works excellent on BTC. But again i'm not a financial advisor so please check-back and look for this indicator as a trend finder. Trade only if you have sufficiently backtested, watched their live moves and if suits your trading style!
✅ Pros of MTF (Why Traders Use It)
1. Trend clarity: The higher timeframe filters out noise and shows the real direction of the market.
2. Reduced false signals: Lower timeframe indicators often give too many signals.
MTF keeps you trading only in the higher timeframe direction.
3. Better entries: You can align HTF trend, LTF trigger, This results in higher-quality trades.
4. Helps avoid chop: Markets are usually messy on lower charts. HTF trends cut through the noise.
5. Works across all markets: Crypto, forex, stocks — MTF improves signal reliability everywhere.
❌ Cons of MTF (What You Must Be Aware of)
1. Signals come late: Since HTF candles take longer to form, signals may lag.
2. Fewer trade opportunities: Filtering signals reduces frequency. High accuracy but lower quantity.
3. Beginners may find multi-timeframe correlation harder to learn.
4. Wrong TF combinations may give bad results: Not all timeframe pairs work well.
Example: 1D + 5m is too far apart; the trend becomes irrelevant.
Happy trading!
#ShareMarketSaga
Three Custom Moving AveragesAllows you to have 3 moving averages with any timeframe no matter what timeframe you are viewing.
Clean Industry DataClean Industry Data – Overview
Clean Industry Data is a utility tool designed to give traders an instant, structured view of key fundamental and volatility metrics directly on the chart. The script displays a compact, customizable information panel containing:
Industry & Sector
Market Cap and Free-Float Market Cap
Free-Float Percentage
Average Daily Rupee Volume
Relative Volume (R.Vol) based on daily volume
% from 10 / 21 / 50 EMAs (calculated on daily closes)
ADR (14-day) with threshold-based indicators
ATR (current timeframe) with colour-coded risk cues
All volume-based statistics are anchored to daily data, ensuring the values remain consistent across all timeframes. The display table supports flexible positioning, custom background/text colours, and adjustable text size.
This script is ideal for traders who want a quick, accurate snapshot of a stock’s liquidity, volatility, and broader classification — without digging through multiple menus or external sources.
LockedEye MTF CRT Map SentinelOverview
This script provides a structured multi-timeframe display of market conditions.
It summarizes key elements from M1 up to D1 using five components:
- CRT (Continuation/Reversal Trigger)
- MA6 micro-trend filter
- Candle-close direction
- MA250 macro trend filter
- Sentiment percentage computed from the above signals
The panel is designed to present information at a glance, allowing traders to understand how different timeframes align or disagree.
The purpose is not to merge random indicators. Each row uses a specific rule-based calculation that contributes to an integrated multi-timeframe read. The focus is on market structure, micro-trend, and directional pressure as expressed across several intervals.
How the Script Works
The script does not rely on external indicators. All calculations are performed internally through candle relationships, moving averages, MTF requests, and simple classification logic.
1. CRT Logic (Continuation and Reversal)
CRT identifies two types of behavior in each timeframe:
Continuation: The current candle closes outside the previous candle’s high or low.
Reversal after a sweep: Price takes the previous high or low but closes back inside the range.
A close outside the previous range suggests continuation.
A sweep followed by a close back inside suggests a shift in pressure or reversal .
The CRT row labels these conditions as Bull, Bear, or Wait.
2. MA6 Micro-Trend
The script uses a 6-period simple moving average to understand immediate trend pressure.
Close and open both above the MA6 = Bull
Close and open both below the MA6 = Bear
Mixed = Wait
This gives a quick view of short-term momentum without repainting.
3. Candle-Close Direction
This uses a simple comparison:
Close > Open = Bull
Close < Open = Bear
Equal = Neutral
It is a raw directional signal without interpretation.
4. MA250 Macro Filter
The script applies a 250-period MA to understand the broader trend.
Break above the MA250 = BR (BullRun)
Break below the MA250 = BC(BearCrash)
Inside range = Neutral
This acts as a long-term directional filter .
5. Sentiment Computation
The script aggregates CRT, MA6, and Candle-Close across all timeframes.
Each timeframe contributes a value.
The script then calculates the percentage of bull, bear, and neutral signals.
A short text summary explains whether signals are aligned or mixed.
How to Use the Panel
Multi-Timeframe Alignment
The panel is most useful when interpreting how lower and higher timeframes behave together:
When many timeframes show the same direction, it reflects stronger alignment.
When timeframes disagree, market conditions are more mixed or range-bound.
Users can watch for shifts when multiple rows turn from mixed to aligned.
Trend-Following Context
If higher timeframes (H2–D1) show consistent directional readings in CRT, MA6, and MA250, users may treat that as broader structural context.
Lower timeframes (M1–M15) can then be used to observe pullbacks or shifts within that larger trend.
Counter-Trend Context
If higher timeframes show one direction but lower timeframes show the opposite, this may indicate short-term reactions or pullbacks.
The script does not assume these reactions will continue; it only shows the multi-frame condition so users can decide how to interpret it.
Liquidity Sweep Context
CRT will classify moments when price takes a previous high or low and re-enters the range.
This is included so users can detect areas where the market moves beyond a level and immediately rejects it.
Alerts
The script includes alert conditions for:
CRT Bull or Bear flips on the chart’s timeframe
Multi-timeframe consensus reaching a user-defined threshold
Users can create alerts through the TradingView alert menu once the indicator is added to the chart.
Note:
The script includes a non-repaint mode for alert stability. This mode ensures only confirmed candle closes are used in calculations.
Chart Use
The script displays a fixed panel on the chart.
Users may select the panel’s position to avoid covering price action.
Users are advised to publish with a clean chart where only this script is active, unless pairing is required for explanation.
Toggles:
Close Candle(Non Repaint)
Monitor: BTCUSD along w RSI
Monitor 2: Any Coin
Flip M1-D1
Fast CRT
Final Notes
This script does not forecast future price movement and does not claim accuracy, profitability, or performance results.
It is a diagnostic tool that organizes real-time price behavior across multiple timeframes.
Users should apply their own judgment and risk management.
VWAP TrendSignalVWAP TrendSignal
VWAP (Volume-Weighted Average Price) is the market’s true fair value — the benchmark institutions use to see when price is balanced, extended, or trending with real intent.
Price often snaps back when it moves too far (mean reversion), and only shows genuine strength when it holds above or below VWAP.
VWAP TrendSignal makes this insight effortless by color-coding VWAP direction:
Yellow = VWAP rising → bullish pressure
Red = VWAP falling → bearish pressure
No bands. No noise. Just pure directional clarity.
Anchor VWAP to the Session, Week, Month, Quarter, or Year, and tailor the Slope Smoothing Filter to your timeframe:
1–2 smoothing → fast & reactive (1–5m scalping)
3–5 smoothing → clean & stable (5–15m intraday)
6–10 smoothing → slow flips (1H–4H swings)
10–15 smoothing → macro bias only (Daily/Weekly)
The line adapts to how you trade.
How to Use It
Mean Reversion
When price stretches far from VWAP, expect pullbacks or snapbacks.
Trend Direction
Yellow supports long bias, red supports short bias.
Simple, reliable, instantly visible.
Balance Zones
Price sitting near VWAP = compression, buildup, or chop.
A perfect signal to wait or prepare for a breakout.
Why It Works
VWAP TrendSignal distills institutional logic into a clean, single-line tool.
It shows fair value, trend slope, and balance all at once — making your chart clearer and your decisions faster.
Once you get used to reading it, trading without it feels blind.
ID Candle Body % Star Rating + SMC ToolkitThis tool combines strong-body candle detection, trend analysis, SMC-based setups, session levels, VWAP, Donchian Channels and live alerts. It’s built to help you read momentum, structure and volatility on any intraday chart.
1. Strong Body Candle Detection
The script highlights candles with exceptional bodies using three conditions:
• Body is larger than the previous five candles
• Body makes up more than 85% of the entire candle
• Both conditions happening at the same time
These signals help you spot strength or exhaustion in real time.
2. EMA Trend Layer
Three EMAs (50/100/200 by default) plot the overall trend.
When enabled, the area between the fast and slow EMAs fills with a soft color to show bullish or bearish bias at a glance.
3. Bullish and Bearish Setup (ICT-style patterns)
The indicator marks classic two-candle continuation setups:
• Bullish setup with a break above the previous high and an FVG
• Bearish setup with a break below the previous low and an FVG
You can also enable “low break” and “high break” variations to track liquidity sweeps.
Each setup has its own alert option.
4. Four Key Market Sessions
The script plots Asia Open, Midnight Open, London Open and New York Open.
Each session shows:
• A real-time box
• High, low and midpoint
• Optional extended lines projecting forward
These levels often act as reaction zones on lower timeframes.
5. VWAP With Optional Bands
You can anchor VWAP to the session, week, month, quarter or year.
Bands can be calculated using standard deviation or a percentage.
There’s also an option to hide VWAP on higher timeframes.
6. Donchian Channel
A classic 20-period DC is included to provide an additional structure reference for breakouts and trend ranges.
7. Real-Time Alerts
Alerts trigger only once per bar and cover:
• Bullish setup
• Bearish setup
• Liquidity sweep variations
• VWAP star-rating (if enabled in the code block)
Great for traders who monitor multiple pairs.
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide
Table of Contents
1. Overview
2. Indicator Components
3. Signal Interpretation
4. Live Market Analysis Guide
5. Best Practices
6. Limitations and Considerations
7. Risk Disclaimer
________________________________________
Overview
The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities.
Key Features:
• Multi-Indicator Analysis: Combines 20+ technical indicators
• Real-Time Dashboard: Professional interface with customizable display
• Signal Aggregation: Weighted scoring system for overall market sentiment
• Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis
• Visual Progress Indicators: Easy-to-read progress bars for signal strength
________________________________________
Indicator Components
1. Oscillators Section
Purpose: Identifies overbought/oversold conditions and momentum changes
Included Indicators:
• RSI (14): Relative Strength Index - momentum oscillator
• Stochastic (14): Compares closing price to price range
• CCI (20): Commodity Channel Index - cycle identification
• Williams %R (14): Momentum indicator similar to Stochastic
• MACD (12,26,9): Moving Average Convergence Divergence
• Momentum (10): Rate of price change
• ROC (9): Rate of Change
• Bollinger Bands (20,2): Volatility-based indicator
Signal Interpretation:
• Strong Buy (6+ points): Multiple oscillators indicate oversold conditions
• Buy (2-5 points): Moderate bullish momentum
• Neutral (-1 to 1 points): Balanced conditions
• Sell (-2 to -5 points): Moderate bearish momentum
• Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions
2. Moving Averages Section
Purpose: Determines trend direction and strength
Included Indicators:
• SMA: 10, 20, 50, 100, 200 periods
• EMA: 10, 20, 50 periods
Signal Logic:
• Price >2% above MA = Strong Buy (+2)
• Price above MA = Buy (+1)
• Price below MA = Sell (-1)
• Price >2% below MA = Strong Sell (-2)
Signal Interpretation:
• Strong Buy (6+ points): Price well above multiple MAs, strong uptrend
• Buy (2-5 points): Price above most MAs, bullish trend
• Neutral (-1 to 1 points): Mixed MA signals, consolidation
• Sell (-2 to -5 points): Price below most MAs, bearish trend
• Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend
3. Order Block Analysis
Purpose: Identifies institutional support/resistance levels and breakouts
How It Works:
• Detects historical levels where large orders were placed
• Monitors price behavior around these levels
• Identifies breakouts from established order blocks
Signal Types:
• BULLISH BRK (+2): Breakout above resistance order block
• BEARISH BRK (-2): Breakdown below support order block
• ABOVE SUP (+1): Price holding above support
• BELOW RES (-1): Price rejected at resistance
• NEUTRAL (0): No significant order block interaction
4. Supertrend Analysis
Purpose: Trend following indicator based on Average True Range
Parameters:
• ATR Period: 10 (default)
• ATR Multiplier: 6.0 (default)
Signal Types:
• BULLISH (+2): Price above Supertrend line
• BEARISH (-2): Price below Supertrend line
• NEUTRAL (0): Transition period
5. Trendline/Channel Analysis
Purpose: Identifies trend channels and breakout patterns
Components:
• Dynamic trendline calculation using pivot points
• Channel width based on historical volatility
• Breakout detection algorithm
Signal Types:
• UPPER BRK (+2): Breakout above upper channel
• LOWER BRK (-2): Breakdown below lower channel
• ABOVE MID (+1): Price above channel midline
• BELOW MID (-1): Price below channel midline
6. Volume Analysis
Purpose: Confirms price movements with volume data
Components:
• Volume spikes detection
• On Balance Volume (OBV)
• Volume Price Trend (VPT)
• Money Flow Index (MFI)
• Accumulation/Distribution Line
Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements.
________________________________________
Signal Interpretation
Overall Summary Signals
The indicator aggregates all component signals into an overall market sentiment:
Signal Score Range Interpretation Action
STRONG BUY 10+ Overwhelming bullish consensus Consider long positions
BUY 4-9 Moderate to strong bullish bias Look for long opportunities
NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction
SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities
STRONG SELL -10+ Overwhelming bearish consensus Consider short positions
Progress Bar Interpretation
• Filled bars indicate signal strength
• Green bars: Bullish signals
• Red bars: Bearish signals
• More filled bars = stronger conviction
________________________________________
Live Market Analysis Guide
Step 1: Initial Assessment
1. Check Overall Summary: Start with the main signal
2. Verify with Component Analysis: Ensure signals align
3. Look for Divergences: Identify conflicting signals
Step 2: Timeframe Analysis
1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading
2. Multi-Timeframe Confirmation: Check higher timeframes for trend context
3. Entry Timing: Use lower timeframes for precise entry points
Step 3: Signal Confirmation Process.
For Buy Signals:
1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20)
2. Moving Averages: Price should be above key MAs
3. Order Blocks: Confirm bounce from support levels
4. Volume: Check for accumulation patterns
5. Supertrend: Ensure bullish trend alignment.
For Sell Signals:
1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80)
2. Moving Averages: Price should be below key MAs
3. Order Blocks: Confirm rejection at resistance levels
4. Volume: Check for distribution patterns
5. Supertrend: Ensure bearish trend alignment.
Step 4: Risk Management Integration
1. Signal Strength Assessment: Stronger signals = larger position size
2. Stop Loss Placement: Use Order Block levels for stops
3. Take Profit Targets: Based on channel analysis and resistance levels
4. Position Sizing: Adjust based on signal confidence
________________________________________
Best Practices
Entry Strategies
1. High Conviction Entries: Wait for STRONG BUY/SELL signals
2. Confluence Trading: Look for multiple components aligning
3. Breakout Trading: Use Order Block and Trendline breakouts
4. Trend Following: Align with Supertrend direction.
Risk Management
1. Never Risk More Than 2% Per Trade: Regardless of signal strength
2. Use Stop Losses: Place at invalidation levels
3. Scale Positions: Stronger signals warrant larger (but still controlled) positions
4. Diversification: Don't rely solely on one indicator.
Market Conditions
1. Trending Markets: Focus on Supertrend and MA signals
2. Range-Bound Markets: Emphasize Oscillator and Order Block signals
3. High Volatility: Reduce position sizes, widen stops
4. Low Volume: Be cautious of breakout signals.
Common Mistakes to Avoid
1. Signal Chasing: Don't enter after signals have already moved significantly
2. Ignoring Context: Consider overall market conditions
3. Overtrading: Wait for high-quality setups
4. Poor Risk Management: Always use appropriate position sizing
________________________________________
Limitations and Considerations
Technical Limitations
1. Lagging Nature: All technical indicators are based on historical data
2. False Signals: No indicator is 100% accurate
3. Market Regime Changes: Indicators may perform differently in various market conditions
4. Whipsaws: Possible in choppy, sideways markets.
Optimal Use Cases
1. Trending Markets: Performs best in clear trending environments
2. Medium to High Volatility: Requires sufficient price movement for signals
3. Liquid Markets: Works best with adequate volume and tight spreads
4. Multiple Timeframe Analysis: Most effective when used across different timeframes.
When to Use Caution
1. Major News Events: Fundamental analysis may override technical signals
2. Market Opens/Closes: Higher volatility can create false signals
3. Low Volume Periods: Signals may be less reliable
4. Holiday Trading: Reduced participation affects signal quality
________________________________________
Risk Disclaimer
IMPORTANT LEGAL DISCLAIMER FROM aiTrendview
WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS
This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms:
No Investment Advice
• The Indicator does NOT constitute investment advice, financial advice, or trading recommendations
• All signals generated are based on historical price data and mathematical calculations
• Past performance does not guarantee future results
• No representation is made that any account will achieve profits or losses similar to those shown.
Risk Acknowledgment
• TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital
• LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment
• MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile
• TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades.
User Responsibility
• YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences
• CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions
• CONSULT PROFESSIONALS: Seek advice from qualified financial advisors
• RISK MANAGEMENT: Implement appropriate risk management strategies
No Warranties
• The Indicator is provided "AS IS" without warranties of any kind
• aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator
• Technical glitches, data feed issues, or calculation errors may occur
• The Indicator may not work as expected in all market conditions.
Limitation of Liability
• aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages
• This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures
• MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any)
Code Usage and Distribution
• This indicator is published on TradingView in accordance with TradingView's house rules
• UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited
• Users may not claim ownership of this intellectual property
• Commercial use requires explicit written permission from aiTrendview.
Compliance and Regulations
• VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws
• Some trading strategies may not be suitable for all investors
• Tax implications of trading are your responsibility
• Report trading activities as required by law
Specific Risk Factors
1. False Signals: The Indicator may generate incorrect buy/sell signals
2. Market Gaps: Overnight gaps can invalidate technical analysis
3. Fundamental Events: News and economic data can override technical signals
4. Liquidity Risk: Some markets may have insufficient liquidity
5. Technology Risk: Platform failures or connectivity issues may prevent order execution.
Professional Trading Warning
• THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading
• NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority
• EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts
FINAL WARNING
NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE
Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading:
1. Practice on paper/demo accounts extensively
2. Start with small position sizes
3. Develop a comprehensive trading plan
4. Implement strict risk management rules
5. Continuously educate yourself about market dynamics
By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes.
Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only.
________________________________________
This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator.
Document Version: 1.0
Publisher: aiTrendview
________________________________________
Disclaimer
The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Smart Trend MASmart Trend MA - Adaptive Moving Average with VHF Technology
WHAT IT IS
Smart Trend MA is an adaptive moving average indicator based on Perry Kaufman's KAMA (Kaufman Adaptive Moving Average) algorithm enhanced with VHF (Vertical Horizontal Filter) technology. The indicator automatically adjusts its responsiveness to current market conditions, becoming faster during trending markets and slower during ranging conditions to reduce false signals.
ORIGINALITY AND VALUE
This implementation combines KAMA's efficiency ratio methodology with dynamic VHF period adaptation, creating an intelligent system that self-adjusts without manual intervention. Unlike standard moving averages with fixed periods, Smart Trend MA dynamically calculates optimal sensitivity based on market structure. The gradient color visualization system provides immediate trend strength feedback. This indicator adds value by reducing whipsaw trades in choppy markets while maintaining responsiveness during genuine trends.
HOW IT WORKS
The indicator employs Kaufman's efficiency ratio calculation to measure directional movement relative to volatility. When markets trend strongly, the efficiency ratio increases and the moving average responds quickly to price changes. During sideways or choppy markets, the efficiency ratio decreases and the moving average becomes smoother to filter noise.
The VHF adaptation layer adds a second dimension of intelligence by dynamically adjusting the calculation period based on vertical price movement relative to horizontal price range. This dual-adaptive approach creates a moving average that automatically optimizes itself for current conditions without requiring parameter changes.
The gradient color system uses slope calculation to display trend strength visually. Stronger trends display more saturated colors while weaker or consolidating markets show muted tones.
FEATURES
- KAMA algorithm with efficiency ratio calculation
- VHF adaptive period adjustment for enhanced responsiveness
- Gradient color visualization with 7 color scheme options
- Range detection line showing mid-range support and resistance levels
- Multi-timeframe compatible across all markets
- No repainting - calculations use confirmed bar data
- Native TradingView alert system with 6 alert conditions
SETTINGS AND PARAMETERS
Length: Base calculation period (default 21). Higher values produce smoother lines suitable for position trading. Lower values (9-12) increase sensitivity for shorter timeframes.
Fast Factor: Controls maximum responsiveness during strong trends (default 0.66). Higher values increase reaction speed but may produce more noise.
Slow Factor: Controls minimum responsiveness during ranging markets (default 0.0645). Lower values create more smoothing during consolidation.
Smoothing Method: Optional additional smoothing using Hann Window or T3 methods. Default "None" recommended for most applications.
Enable VHF Adaptiveness: Activates dynamic period adjustment based on market structure. Recommended to keep enabled.
Range Detection: Displays mid-range line calculated from recent highs and lows. Useful for identifying support and resistance zones.
Gradient Colors: Choose from 7 color schemes or disable for simple two-color trend indication.
USAGE INSTRUCTIONS
The indicator plots a single adaptive line on the price chart. When the line slopes upward, market conditions favor bullish positions. When the line slopes downward, market conditions favor bearish positions. The gradient color intensity indicates trend strength - more saturated colors signal stronger directional movement.
The range detection line identifies the midpoint between recent price extremes. Price above the range line suggests bullish bias while price below suggests bearish bias. This line often acts as dynamic support or resistance.
For best results, combine Smart Trend MA with volume analysis and price action confirmation. The indicator works across all timeframes and markets including forex, cryptocurrency, stocks, and indices.
ALERT CONDITIONS
The indicator provides six native alert conditions through TradingView's alert system:
Bullish Trend: Triggers when the moving average direction changes to upward
Bearish Trend: Triggers when the moving average direction changes to downward
Strong Bullish: Triggers when slope exceeds threshold indicating strong upward momentum
Strong Bearish: Triggers when slope exceeds threshold indicating strong downward momentum
Price Cross Above: Triggers when price crosses above the moving average
Price Cross Below: Triggers when price crosses below the moving average
TECHNICAL NOTES
This indicator uses lookahead_off to ensure calculations reflect only confirmed bar data, preventing repainting issues. The default 21-period setting represents a Fibonacci number statistically proven optimal for swing trading across multiple markets.
LIMITATIONS
Past performance does not guarantee future results. This indicator provides trend analysis based on historical price data and does not predict future price movement. Best results occur in markets with clear directional bias. During extreme volatility or news events, all technical indicators including adaptive moving averages may produce less reliable signals.
No indicator should be used as the sole basis for trading decisions. Combine Smart Trend MA with proper risk management, additional analysis methods, and thorough understanding of the markets you trade.
Volume DeltaThis indicator provides a detailed view of Volume Delta (VD) by analyzing order flow on a lower, intra-bar timeframe. For each bar on the chart, it calculates the net difference between buying and selling volume based on the direction of the intra-bar candles.
Key Features:
Intra-Bar Delta Calculation: The indicator analyzes price action on a user-defined lower timeframe ('Intra-Bar Timeframe') to construct a detailed picture of the underlying order flow for each bar on the main chart.
"Delta Candle" Visualization: The delta for each bar is shown as a candle, where:
Open: Always starts at the zero line.
High/Low: Represent the peak buying and selling pressure accumulated within the bar.
Close: The final net delta value for that bar. This visualization shows absorption, exhaustion, and conviction in a single glance.
Customizable Moving Average: An optional moving average of the net delta (Close) can be added. The MA type, length, and an optional Volume weighted setting are customizable.
Intra-Bar Peak Pivot Detection: Automatically identifies and plots significant turning points (pivots) in the peak buying (High) and selling (Low) pressure.
Note on Confirmation (Lag): Pivot signals are confirmed using a lookback method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag.
Multi-Timeframe (MTF) Capability:
MTF Output: The entire analysis (Delta Candles, MA, Pivots) can be calculated on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Pivot detection (Calculate Pivots) is disabled if a Higher Timeframe (HTF) is selected.
Integrated Alerts: Includes 8 alerts for:
The net delta crossing its moving average.
The detection of new peak buying or selling pivots.
Conditions of agreement or disagreement between the net delta and the main bar's direction (absolute volume).
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Relative Distance to Moving AverageThis indicator calculates the Relative Distance to a Moving Average (RDMA), a momentum oscillator that measures how overextended a price is from its moving average baseline. It expresses this distance as a percentage, oscillating around a zero line. High positive values may indicate overbought conditions, while large negative values may suggest oversold conditions.
Key Features:
Customizable MA Baseline: The oscillator's baseline is a moving average. Users can select from a wide range of MA types (e.g., EMA, SMA, WMA) and apply volume weighting (Volume weighted) for enhanced responsiveness.
Normalization (Geometric Average): Includes an optional 'Normalize' mode. When enabled, the indicator uses a Geometric Moving Average (GMA) as its baseline and measures the percentage distance from this compound growth average, making it suitable for exponential markets.
Full Divergence Suite (Class A, B, C): The indicator's primary feature is its integrated divergence engine. It automatically detects and plots all three major divergence classes between price and the RDMA:
Regular (A): Signals potential trend exhaustion and reversals.
Hidden (B): Signals potential trend continuations during pullbacks.
Exaggerated (C): Signals weakness at double tops/bottoms.
Divergence Filtering and Visualization:
Price Tolerance Filter: Divergence detection is enhanced with a percentage-based price tolerance (pivPrcTol) to filter out insignificant market noise.
Persistent Visualization: Divergence markers are plotted for the entire duration of the signal and are visually anchored to the RDMA level of the confirming pivot.
Note on Confirmation (Lag): Divergence signals rely on a pivot confirmation method to ensure they do not repaint.
The Start of a- divergence is only detected after the confirming pivot is fully formed (a delay based on Pivot Right Bars).
The End of a divergence is detected either instantly (if the signal is invalidated by price action) or with a delay (when a new, non-divergent pivot is confirmed).
Multi-Timeframe (MTF) Capability:
MTF RDMA Line: The RDMA oscillator itself can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Divergence detection engine (pivDiv) is disabled if a timeframe other than the chart's timeframe is selected. Divergences are only calculated on the active chart timeframe.
Integrated Alerts: Includes 14 comprehensive alerts for:
The start and end of all 6 divergence types.
The RDMA oscillator crossing the zero line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Versatile Moving AverageThe Versatile Moving Average (VMA) is a comprehensive, all-in-one tool for trend analysis. It is designed to act as a central hub for advanced MA calculations by combining a wide selection of average types, calculation modes, and a multi-timeframe engine.
Key Features:
Comprehensive MA Selection: Provides a wide variety of moving average types (e.g., EMA, SMA, WMA, HMA, and their volume-weighted counterparts). Allows full customization of length, source, and offset.
Advanced Calculation Modes:
Volume Weighting: Optionally weights the selected MA calculation by volume, making it more responsive to market participation.
Normalization (Geometric Average): A key feature is the optional 'Normalize' mode. When enabled, the indicator calculates a Geometric Moving Average by averaging the logarithms of the source price. This measures the average compound growth rate, making it well-suited for analyzing assets with exponential price behavior.
Multi-Timeframe (MTF) Engine: The indicator includes an MTF conversion block. When a Higher Timeframe (HTF) is selected, advanced options become available: Fill Gaps handles data gaps, and Wait for timeframe to close prevents repainting by ensuring the indicator only updates when the HTF bar closes.
Integrated Alerts: Comes with built-in alerts for the source price crossing over or under the calculated VMA, allowing for timely notifications.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
LibMvAvLibrary "LibMvAv"
This library provides a unified interface for calculating a
wide variety of moving averages. It is designed to simplify
indicator development by consolidating numerous MA calculations
into a single function and integrating the weighting
capabilities from the `LibWght` library.
Key Features:
1. **All-in-One MA Function:** The core of the library is the
`ma()` function. Users can select the desired calculation
method via the `MAType` enum, which helps create
cleaner and more maintainable code compared to using
many different `ta.*` or custom functions.
2. **Comprehensive Selection of MA Types:** It provides a
selection of 12 different moving averages, covering
common Pine Script built-ins and their weighted counterparts:
- **Standard MAs:** SMA, EMA, WMA, RMA (Wilder's), HMA (Hull), and
LSMA (Least Squares / Linear Regression).
- **Weighted MAs:** Weight-enhanced versions of the above
(WSMA, WEMA, WWMA, WRMA, WHMA, WLSMA).
3. **Integrated Weighting:** The library provides weighted versions
for each of its standard MA types (e.g., `wsma` alongside `sma`).
By acting as a dispatcher, the `ma()` function allows these
weighted calculations to be called using the optional
`weight` parameter, which are then processed by the `LibWght`
library.
4. **Simple API:** The library internally handles the logic of
choosing the correct function based on the selected `MAType`.
The user only needs to provide the source, length, and
optional weight, simplifying the development process.
---
**DISCLAIMER**
This library is provided "AS IS" and for informational and
educational purposes only. It does not constitute financial,
investment, or trading advice.
The author assumes no liability for any errors, inaccuracies,
or omissions in the code. Using this library to build
trading indicators or strategies is entirely at your own risk.
As a developer using this library, you are solely responsible
for the rigorous testing, validation, and performance of any
scripts you create based on these functions. The author shall
not be held liable for any financial losses incurred directly
or indirectly from the use of this library or any scripts
derived from it.
ma(maType, source, length, weight)
Returns the requested moving average.
Parameters:
maType (simple MAType) : simple MAType Desired type (see enum above).
source (float) : series float Data series to smooth.
length (simple int) : simple int Look-back / period length.
weight (float) : series float Weight series (default = na)
Returns: series float Moving-average value.
LibWghtLibrary "LibWght"
This is a library of mathematical and statistical functions
designed for quantitative analysis in Pine Script. Its core
principle is the integration of a custom weighting series
(e.g., volume) into a wide array of standard technical
analysis calculations.
Key Capabilities:
1. **Universal Weighting:** All exported functions accept a `weight`
parameter. This allows standard calculations (like moving
averages, RSI, and standard deviation) to be influenced by an
external data series, such as volume or tick count.
2. **Weighted Averages and Indicators:** Includes a comprehensive
collection of weighted functions:
- **Moving Averages:** `wSma`, `wEma`, `wWma`, `wRma` (Wilder's),
`wHma` (Hull), and `wLSma` (Least Squares / Linear Regression).
- **Oscillators & Ranges:** `wRsi`, `wAtr` (Average True Range),
`wTr` (True Range), and `wR` (High-Low Range).
3. **Volatility Decomposition:** Provides functions to decompose
total variance into distinct components for market analysis.
- **Two-Way Decomposition (`wTotVar`):** Separates variance into
**between-bar** (directional) and **within-bar** (noise)
components.
- **Three-Way Decomposition (`wLRTotVar`):** Decomposes variance
relative to a linear regression into **Trend** (explained by
the LR slope), **Residual** (mean-reversion around the
LR line), and **Within-Bar** (noise) components.
- **Local Volatility (`wLRLocTotStdDev`):** Measures the total
"noise" (within-bar + residual) around the trend line.
4. **Weighted Statistics and Regression:** Provides a robust
function for Weighted Linear Regression (`wLinReg`) and a
full suite of related statistical measures:
- **Between-Bar Stats:** `wBtwVar`, `wBtwStdDev`, `wBtwStdErr`.
- **Residual Stats:** `wResVar`, `wResStdDev`, `wResStdErr`.
5. **Fallback Mechanism:** All functions are designed for reliability.
If the total weight over the lookback period is zero (e.g., in
a no-volume period), the algorithms automatically fall back to
their unweighted, uniform-weight equivalents (e.g., `wSma`
becomes a standard `ta.sma`), preventing errors and ensuring
continuous calculation.
---
**DISCLAIMER**
This library is provided "AS IS" and for informational and
educational purposes only. It does not constitute financial,
investment, or trading advice.
The author assumes no liability for any errors, inaccuracies,
or omissions in the code. Using this library to build
trading indicators or strategies is entirely at your own risk.
As a developer using this library, you are solely responsible
for the rigorous testing, validation, and performance of any
scripts you create based on these functions. The author shall
not be held liable for any financial losses incurred directly
or indirectly from the use of this library or any scripts
derived from it.
wSma(source, weight, length)
Weighted Simple Moving Average (linear kernel).
Parameters:
source (float) : series float Data to average.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 1.
Returns: series float Linear-kernel weighted mean; falls back to
the arithmetic mean if Σweight = 0.
wEma(source, weight, length)
Weighted EMA (exponential kernel).
Parameters:
source (float) : series float Data to average.
weight (float) : series float Weight series.
length (simple int) : simple int Look-back length ≥ 1.
Returns: series float Exponential-kernel weighted mean; falls
back to classic EMA if Σweight = 0.
wWma(source, weight, length)
Weighted WMA (linear kernel).
Parameters:
source (float) : series float Data to average.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 1.
Returns: series float Linear-kernel weighted mean; falls back to
classic WMA if Σweight = 0.
wRma(source, weight, length)
Weighted RMA (Wilder kernel, α = 1/len).
Parameters:
source (float) : series float Data to average.
weight (float) : series float Weight series.
length (simple int) : simple int Look-back length ≥ 1.
Returns: series float Wilder-kernel weighted mean; falls back to
classic RMA if Σweight = 0.
wHma(source, weight, length)
Weighted HMA (linear kernel).
Parameters:
source (float) : series float Data to average.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 1.
Returns: series float Linear-kernel weighted mean; falls back to
classic HMA if Σweight = 0.
wRsi(source, weight, length)
Weighted Relative Strength Index.
Parameters:
source (float) : series float Price series.
weight (float) : series float Weight series.
length (simple int) : simple int Look-back length ≥ 1.
Returns: series float Weighted RSI; uniform if Σw = 0.
wAtr(tr, weight, length)
Weighted ATR (Average True Range).
Implemented as WRMA on *true range*.
Parameters:
tr (float) : series float True Range series.
weight (float) : series float Weight series.
length (simple int) : simple int Look-back length ≥ 1.
Returns: series float Weighted ATR; uniform weights if Σw = 0.
wTr(tr, weight, length)
Weighted True Range over a window.
Parameters:
tr (float) : series float True Range series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 1.
Returns: series float Weighted mean of TR; uniform if Σw = 0.
wR(r, weight, length)
Weighted High-Low Range over a window.
Parameters:
r (float) : series float High-Low per bar.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 1.
Returns: series float Weighted mean of range; uniform if Σw = 0.
wBtwVar(source, weight, length, biased)
Weighted Between Variance (biased/unbiased).
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns:
variance series float The calculated between-bar variance (σ²btw), either biased or unbiased.
sumW series float The sum of weights over the lookback period (Σw).
sumW2 series float The sum of squared weights over the lookback period (Σw²).
wBtwStdDev(source, weight, length, biased)
Weighted Between Standard Deviation.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float σbtw uniform if Σw = 0.
wBtwStdErr(source, weight, length, biased)
Weighted Between Standard Error.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float √(σ²btw / N_eff) uniform if Σw = 0.
wTotVar(mu, sigma, weight, length, biased)
Weighted Total Variance (= between-group + within-group).
Useful when each bar represents an aggregate with its own
mean* and pre-estimated σ (e.g., second-level ranges inside a
1-minute bar). Assumes the *weight* series applies to both the
group means and their σ estimates.
Parameters:
mu (float) : series float Group means (e.g., HL2 of 1-second bars).
sigma (float) : series float Pre-estimated σ of each group (same basis).
weight (float) : series float Weight series (volume, ticks, …).
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns:
varBtw series float The between-bar variance component (σ²btw).
varWtn series float The within-bar variance component (σ²wtn).
sumW series float The sum of weights over the lookback period (Σw).
sumW2 series float The sum of squared weights over the lookback period (Σw²).
wTotStdDev(mu, sigma, weight, length, biased)
Weighted Total Standard Deviation.
Parameters:
mu (float) : series float Group means (e.g., HL2 of 1-second bars).
sigma (float) : series float Pre-estimated σ of each group (same basis).
weight (float) : series float Weight series (volume, ticks, …).
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float σtot.
wTotStdErr(mu, sigma, weight, length, biased)
Weighted Total Standard Error.
SE = √( total variance / N_eff ) with the same effective sample
size logic as `wster()`.
Parameters:
mu (float) : series float Group means (e.g., HL2 of 1-second bars).
sigma (float) : series float Pre-estimated σ of each group (same basis).
weight (float) : series float Weight series (volume, ticks, …).
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float √(σ²tot / N_eff).
wLinReg(source, weight, length)
Weighted Linear Regression.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 2.
Returns:
mid series float The estimated value of the regression line at the most recent bar.
slope series float The slope of the regression line.
intercept series float The intercept of the regression line.
wResVar(source, weight, midLine, slope, length, biased)
Weighted Residual Variance.
linear regression – optionally biased (population) or
unbiased (sample).
Parameters:
source (float) : series float Data series.
weight (float) : series float Weighting series (volume, etc.).
midLine (float) : series float Regression value at the last bar.
slope (float) : series float Slope per bar.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population variance (σ²_P), denominator ≈ N_eff.
false → sample variance (σ²_S), denominator ≈ N_eff - 2.
(Adjusts for 2 degrees of freedom lost to the regression).
Returns:
variance series float The calculated residual variance (σ²res), either biased or unbiased.
sumW series float The sum of weights over the lookback period (Σw).
sumW2 series float The sum of squared weights over the lookback period (Σw²).
wResStdDev(source, weight, midLine, slope, length, biased)
Weighted Residual Standard Deviation.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
midLine (float) : series float Regression value at the last bar.
slope (float) : series float Slope per bar.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float σres; uniform if Σw = 0.
wResStdErr(source, weight, midLine, slope, length, biased)
Weighted Residual Standard Error.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
midLine (float) : series float Regression value at the last bar.
slope (float) : series float Slope per bar.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population (biased); false → sample.
Returns: series float √(σ²res / N_eff); uniform if Σw = 0.
wLRTotVar(mu, sigma, weight, midLine, slope, length, biased)
Weighted Linear-Regression Total Variance **around the
window’s weighted mean μ**.
σ²_tot = E_w ⟶ *within-group variance*
+ Var_w ⟶ *residual variance*
+ Var_w ⟶ *trend variance*
where each bar i in the look-back window contributes
m_i = *mean* (e.g. 1-sec HL2)
σ_i = *sigma* (pre-estimated intrabar σ)
w_i = *weight* (volume, ticks, …)
ŷ_i = b₀ + b₁·x (value of the weighted LR line)
r_i = m_i − ŷ_i (orthogonal residual)
Parameters:
mu (float) : series float Per-bar mean m_i.
sigma (float) : series float Pre-estimated σ_i of each bar.
weight (float) : series float Weight series w_i (≥ 0).
midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).
slope (float) : series float Slope b₁ of the regression line.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population; false → sample.
Returns:
varRes series float The residual variance component (σ²res).
varWtn series float The within-bar variance component (σ²wtn).
varTrd series float The trend variance component (σ²trd), explained by the linear regression.
sumW series float The sum of weights over the lookback period (Σw).
sumW2 series float The sum of squared weights over the lookback period (Σw²).
wLRTotStdDev(mu, sigma, weight, midLine, slope, length, biased)
Weighted Linear-Regression Total Standard Deviation.
Parameters:
mu (float) : series float Per-bar mean m_i.
sigma (float) : series float Pre-estimated σ_i of each bar.
weight (float) : series float Weight series w_i (≥ 0).
midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).
slope (float) : series float Slope b₁ of the regression line.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population; false → sample.
Returns: series float √(σ²tot).
wLRTotStdErr(mu, sigma, weight, midLine, slope, length, biased)
Weighted Linear-Regression Total Standard Error.
SE = √( σ²_tot / N_eff ) with N_eff = Σw² / Σw² (like in wster()).
Parameters:
mu (float) : series float Per-bar mean m_i.
sigma (float) : series float Pre-estimated σ_i of each bar.
weight (float) : series float Weight series w_i (≥ 0).
midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).
slope (float) : series float Slope b₁ of the regression line.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population; false → sample.
Returns: series float √((σ²res, σ²wtn, σ²trd) / N_eff).
wLRLocTotStdDev(mu, sigma, weight, midLine, slope, length, biased)
Weighted Linear-Regression Local Total Standard Deviation.
Measures the total "noise" (within-bar + residual) around the trend.
Parameters:
mu (float) : series float Per-bar mean m_i.
sigma (float) : series float Pre-estimated σ_i of each bar.
weight (float) : series float Weight series w_i (≥ 0).
midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).
slope (float) : series float Slope b₁ of the regression line.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population; false → sample.
Returns: series float √(σ²wtn + σ²res).
wLRLocTotStdErr(mu, sigma, weight, midLine, slope, length, biased)
Weighted Linear-Regression Local Total Standard Error.
Parameters:
mu (float) : series float Per-bar mean m_i.
sigma (float) : series float Pre-estimated σ_i of each bar.
weight (float) : series float Weight series w_i (≥ 0).
midLine (float) : series float Regression value at the latest bar (ŷₙ₋₁).
slope (float) : series float Slope b₁ of the regression line.
length (int) : series int Look-back length ≥ 2.
biased (bool) : series bool true → population; false → sample.
Returns: series float √((σ²wtn + σ²res) / N_eff).
wLSma(source, weight, length)
Weighted Least Square Moving Average.
Parameters:
source (float) : series float Data series.
weight (float) : series float Weight series.
length (int) : series int Look-back length ≥ 2.
Returns: series float Least square weighted mean. Falls back
to unweighted regression if Σw = 0.
Brahmastra with SMC by PoojaSummary
This indicator provides a structured trend-and-momentum workflow that issues Partial and Confirmed trade signals using a combination of trend filters, momentum confirmation, and structure breaks.
It helps traders identify higher-probability trade locations through multi-timeframe confirmation and automatic alert payloads — while keeping the underlying signal logic private (invite-only).
Core Components (high level overview — no source code revealed)
• Trend Filters: EMA (configurable length), VWAP, and Supertrend are used to define overall trend direction and to gate signals.
• Momentum: RSI (configurable length and upper/lower thresholds) helps confirm momentum and optional divergence blocking.
• Market Structure: BOS / CHoCH (Break of Structure / Change of Character) logic with MTF pivots to detect structure-based opportunities.
• Signal Types: Partial signals appear early as potential setups; Confirmed signals meet stricter multi-factor conditions (EMA/VWAP/Supertrend + RSI + optional MTF).
• Repaint Safety: Non-repaint mode available (triggers only after candle close).
• Alerts: Built-in alert messages with optional JSON webhook format.
• Customization: Flexible inputs for sessions, pivots, labels, colors, lookbacks, and MTF parameters to adapt across multiple timeframes.
How to Interpret Signals
• Treat Partial signals as setups to monitor — not instant entries. Wait for confirmation or confluence from price behavior.
• Treat Confirmed signals as higher-probability opportunities that satisfy trend and momentum alignment.
• Enable MTF confirmation selectively on smaller timeframes (e.g., 5m using 15m/1H confirmation).
• Use Non-repaint mode (trigger only after candle close) for safe alert generation.
Limitations & Risk Notice
This indicator does not guarantee profits or accuracy. It is a technical and educational tool meant to assist analysis.
All trading decisions, entries, and exits are the sole responsibility of the user. Always perform backtesting and paper trading before live use.
This is not financial advice.
Version Note & Support
This is a closed invite-only script. The indicator includes configuration options for labels, alerts, and MTF pivots.
For approved users seeking modifications or usage details, please contact the author (see Author’s Instructions section).
