MACD RSI EMA AGGRESSIVE + ATR SLTP (ALL COIN)This indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
Wskaźniki i strategie
SPX highlight Risk IndicatorIndicator shows orange bars in instances where:
VIX > 21dma
Spreads > 21dma
% S&P stocks above 50dma < 21dma
Indicator shows red bars in instances where:
VIX > 50dma
Spreads > 50dma
% S&P stocks above 50dma < 50dma
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing.
The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade.
This is not a signal-spamming indicator.
It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market.
🔹 Key Features
🔁 Automatic timeframe adaptation
Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe.
🧠 Trend & range filtering
Uses ADX and price structure to filter out ranging and low-probability market conditions.
⏱️ Multi-timeframe market context (optional)
Confirms directional bias using higher timeframes.
🧮 Risk classification
Trades are classified as:
NORMAL
REDUCED
NO TRADE
📋 Clear visual checklist
Displays in real time:
trading mode,
trend status,
ADX condition,
market session,
recommended risk level.
🎯 Integrated trade management
Automatically plots:
Entry
Stop Loss
Take Profits (TP1, TP2, TP3)
Position size in dollars based on selected risk.
🚫 No repaint
🚫 No signal spam
🚫 No win-rate promises
⚠️ Important Notice
This script is not intended for fully mechanical or automated trading.
It is designed as a decision-support tool for traders who understand market structure, context, and risk management.
Performance depends on:
market conditions,
timeframe,
and trader discipline.
👤 Who Is This For?
✔️ Discretionary traders
✔️ Scalpers & intraday traders seeking better filters
✔️ Swing traders needing HTF context
❌ Not recommended for blind signal following
📎 Usage Recommendation
Use it as a primary market filter, not as a standalone signal.
Combine it with your own entry criteria.
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator
Overview
The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak.
Trading Theory & Foundation
Session-Based Trading
The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because:
Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active
Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously
Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day
Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style
ICT Kill Zones
The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because:
Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows
Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods
Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves
Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods
The four ICT Kill Zones are:
Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity
London Kill Zone (07:00-10:00 UTC): London open and European institutional entry
New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry
London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring
What This Indicator Visualizes
Trading Session Boxes
The indicator draws high-to-low range boxes for each major trading session:
Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity
Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period
London Session (08:00-17:00 UTC): Covers the European trading hours
New York Session (13:00-22:00 UTC): Encompasses North American trading activity
Each session box displays:
The session's high and low price levels
Customizable colored borders and fills
Labels showing the exact high and low values
Real-time updates as price moves within the active session
Session Overlaps
The indicator automatically identifies and highlights all session overlaps with distinct colored boxes:
Sydney/Tokyo Overlap: Asian liquidity concentration
Tokyo/London Overlap: Asian-European transition period
London/New York Overlap: The most volatile period with maximum liquidity
Sydney/New York Overlap: Late US session into early Asian session
These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts.
ICT Kill Zones
Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods:
Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action
Label identification: Each Kill Zone is labeled at its start for easy recognition
Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously
Independent control: Each Kill Zone can be toggled on/off individually
How Traders Can Use This Indicator
Entry Timing
Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades
Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market
Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest
Support & Resistance
Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels
Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab)
Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps
Risk Management
Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility)
Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges
Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases
Strategy Development
Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior
Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades
Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies
Full Customizability
Session Customization
Every aspect of each trading session can be customized:
Toggle Visibility: Show/hide any session independently
Time Adjustment: Modify start and end hours to match your broker's server time or personal preference
Color Schemes: Customize box colors and border colors for each session
Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference
Kill Zone Customization
Complete control over ICT Kill Zone display:
Individual Toggles: Enable or disable each Kill Zone independently based on your trading style
Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red)
Transparency Control: All Kill Zones use 70% transparency by default, fully customizable
Label Display: Toggle Kill Zone labels on/off via the main label settings
Visual Preferences
Border Control: Toggle session box borders on/off for cleaner charts
Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels
Label Colors: Customize label background and text colors to match your chart theme
Box Transparency: Set individual transparency levels for each session and overlap
Overlap Customization
All four session overlaps have independent color controls:
Sydney/Tokyo Overlap
Tokyo/London Overlap
London/New York Overlap
Sydney/New York Overlap
Technical Features
Midnight Handling
The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes.
Real-Time Updates
Active Sessions: Boxes extend and update in real-time as price moves during active sessions
High/Low Tracking: Session highs and lows are continuously updated until the session closes
Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries
Clean Chart Integration
Minimal Clutter: Only shows active and recently completed sessions
Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action
Performance Optimized: Efficient code that doesn't slow down chart rendering
Ideal For
Forex Traders: Track the four major forex sessions and plan trades around overlaps
Futures Traders: Identify when specific futures markets have peak activity
ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references
Session Traders: Build strategies around specific session characteristics
Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills
Swing Traders: Use session levels as key support/resistance for multi-day trades
Best Practices
Start Simple: Enable only the sessions and Kill Zones relevant to your instruments
Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm
Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals
Match Your Timezone: Adjust session times if your broker uses non-UTC server time
Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups
Journal Performance: Track which sessions and Kill Zones work best for your strategy
Conclusion
The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional.
Trade smarter by trading when the market is most active and predictable.
SMART TRADER Institutional Trend Engine (ITE)SMART TRADER – Institutional Trend Engine (ITE)
Created by Jonathan Mwendwa Ndunge, this indicator is designed for professional traders and institutions seeking a multi-timeframe trend confirmation system. It combines Donchian Channel-based trend analysis across higher, mid, and lower timeframes to provide a directional authority score, highlighting bullish and bearish execution zones. Built with price action and smart money concepts in mind, it helps traders identify high-probability trend-aligned opportunities while filtering out noise.
Trend Momentum v6Features
- Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength.
- RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws.
- Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security.
- Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating.
- Bar Coloring: green for up-trend, red for down-trend, neutral otherwise.
- Alerts: built-in alertcondition for Long Signal and Short Signal.
Inputs
- Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe.
- Fast/Slow EMA length: trend speed vs smoothness (21/50 default).
- RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry.
- Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips.
- Show signal markers: enable/disable triangles.
- Color bars by trend: enable/disable bar coloring.
Signals
- Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold.
- Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold.
- Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating.
Tutorial
- Add to chart:
- Open TradingView → Pine Editor → paste the script → Save → Add to chart.
- Configure:
- Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m).
- Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility.
- Keep RSI filter on with thresholds at 50 for balanced gating.
- Enable “Confirm signals on bar close” for stable, non-repainting entries.
- Interpret:
- Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled).
- Bars turn green when trendUp; red when trendDown; neutral when neither condition holds.
- Alerts:
- Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal.
- Configure frequency (Once per bar close recommended when confirm is enabled).
- MTF guidance:
- For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend.
- Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed.
Customization
- Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum.
- Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness.
- Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40).
- Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise).
- Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps.
Best Practices
- Use with structure: apply on liquid instruments; combine with session/volatility filters if needed.
- Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees.
- Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes.
Limitations
- Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise.
- MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
ISM Manufacturing PMIDescription
The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector.
Above 50.0: Indicates Expansion.
Below 50.0: Indicates Contraction.
This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts.
Key Features
Intuitive Visualization:
Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50).
Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state.
Histogram Mode: Toggle a histogram view to easily spot momentum shifts.
Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred.
Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend.
Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels.
How to Use
Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically.
Interpret the Trend:
Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy).
Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs.
Adjust Settings:
Style: Toggle the Line, Histogram, or Fill visibility in the settings.
Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months.
Settings
PMI Ticker: Default is ECONOMICS:USBCOI.
Timeframe: Default is 1M (Monthly).
Show Line / Histogram: Toggle visualization modes.
Smoothing: Type and Length of the moving average applied to the data.
Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral.
Indicator by: iCD_creator
Version: 1.0
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Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
Volume Profile Skew [BackQuant]Volume Profile Skew
Overview
Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not:
“Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?”
A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking.
This gives you two layers at once:
A full profile and its important levels (where volume is).
A skew metric (how volume is leaning within that range).
What this indicator is based on
The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis:
POC (Point of Control): the price level with the highest traded volume.
Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume.
Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity.
Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments:
Mean: where the mass is centered.
Standard deviation: how spread-out it is.
Skewness: whether the distribution has a heavier tail toward higher or lower prices.
This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns.
Core concept: what “skew” means in a volume profile
Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes:
Balanced profile: volume is fairly symmetric around the mean, skew near 0.
Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive.
Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative.
In this script:
Positive skew is labeled as ACCUMULATION.
Negative skew is labeled as DISTRIBUTION.
Near-zero skew is NEUTRAL.
Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices.
How the volume profile is built
1) Define the analysis window
The profile is computed on a rolling window:
Lookback Period: number of bars included (capped by available history).
Profile Resolution (bins): number of price bins used to discretize the high-low range.
The script finds the highest high and lowest low in the lookback window to define the price range:
rangeHigh = highest high in window
rangeLow = lowest low in window
binSize = (rangeHigh - rangeLow) / bins
2) Create bin midpoints
Each bin gets a midpoint “price” used for calculations:
price = rangeLow + binSize * (b + 0.5)
These midpoints are what the mean, variance, and skewness are computed on.
3) Distribute each candle’s volume into bins
This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges:
For each bar in the lookback:
Determine which bins its low-to-high range touches.
Split that candle’s total volume evenly across the touched bins.
So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar.
This approach has tradeoffs:
It does not know where within the candle the volume truly traded.
It assumes uniform distribution across the candle range.
It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes.
But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure.
Key profile levels: POC, VAH, VAL, VWMP
POC (Point of Control)
POC is found by scanning bins and selecting the bin with maximum volume. The script stores:
pocIndex: which bin has max volume
poc price: midpoint price of that bin
Value Area (VAH/VAL) using 70% volume
The script builds the value area around the POC outward until it captures 70% of total volume:
Start with the POC bin.
Expand one bin at a time to the side with more volume.
Stop when accumulated volume >= 70% of total profile volume.
Then:
VAL = rangeLow + binSize * lowerIdx
VAH = rangeLow + binSize * (upperIdx + 1)
This produces a classic “where most business happened” zone.
VWMP (Volume-Weighted Mean Price)
This is essentially the center of mass of the profile:
VWMP = sum(price * volume ) / totalVolume
It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price.
Skewness calculation: turning the profile into an oscillator
This is the main feature.
1) Treat volumes as weights
For each bin:
weight = volume / totalVolume
Now weights sum to 1.
2) Compute weighted mean
Mean price:
mean = sum(weight * price )
3) Compute weighted variance and std deviation
Variance:
variance = sum(weight * (price - mean)^2)
stdDev = sqrt(variance)
4) Compute weighted third central moment
Third moment:
m3 = sum(weight * (price - mean)^3)
5) Standardize to skewness
Skewness:
rawSkew = m3 / (stdDev^3)
This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable.
Smoothing and regime rules
Raw skewness can be jumpy because:
profile bins change as rangeHigh/rangeLow shift,
one high-volume candle can reshape the distribution,
volume regimes change quickly in crypto.
So the indicator applies EMA smoothing:
smoothedSkew = EMA(rawSkew, smooth)
Then it classifies regime using fixed thresholds:
Bullish (ACCUMULATION): smoothedSkew > +0.25
Bearish (DISTRIBUTION): smoothedSkew < -0.25
Neutral: between those values
Signals are generated on threshold cross events:
Bull signal when smoothedSkew crosses above +0.25
Bear signal when smoothedSkew crosses below -0.25
This makes the skew act like a regime oscillator rather than a constantly flipping color.
Volume Profile plotting modes
The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume:
volRatio = binVol / maxVol
barWidth = volRatio * width
Three style modes exist:
1) Gradient
Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade.
2) Solid
Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.”
3) Skew Highlight
Highlights bins that match the skew bias:
If skew bullish, emphasize lower portion of profile.
If skew bearish, emphasize higher portion of profile.
Else, keep most bins neutral.
This is a visual “where the skew is coming from” mode.
Historical POC tracking and Naked POCs
This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels.
What is a “naked POC”?
A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with.
How this script records POCs
It stores a new historical POC when:
At least updatebars have passed since the last stored POC, and
The POC has changed by at least pochangethres (%) from the last stored value.
New stored POCs are flagged as naked by default.
How naked becomes tested
On each update, the script checks whether price has entered a small zone around a naked POC:
zoneSize = POC * 0.002 (about 0.2%)
If bar range overlaps that zone, mark it as tested (not naked).
Display controls:
Highlight Naked POCs: draws and labels untested POCs.
Show Tested POCs: optionally draw tested ones in a muted color.
To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC.
On-chart key levels and what they mean
When enabled, the script draws the current lookback profile levels on the price chart:
POC (solid): the “most traded” price.
VAH/VAL (dashed): boundaries of the 70% value area.
VWMP (dotted): volume-weighted mean of the profile distribution.
Interpretation framework (practical, not mystical):
POC often behaves like a magnet in balanced conditions.
VAH/VAL define the “accepted” area, breaks can signal auction continuation.
VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing.
Oscillator panel and histogram
The skew oscillator is plotted in a separate pane:
Line: smoothedSkew, colored by regime.
Histogram: smoothedSkew as bars, colored by sign.
Fill: subtle shading above/below 0 to reinforce bias.
This makes it easy to read:
Direction of bias (positive vs negative).
Strength (distance from 0 and from thresholds).
Transitions (crosses of ±0.25).
Info table: what it summarizes
On the last bar, a table prints key diagnostics:
Current skew value (smoothed).
Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL).
Current POC, VAH, VAL, VWMP.
Count of naked POCs still active.
A simple “volume location” hint (lower/higher/balanced).
This is designed for quick scanning without reading the entire profile.
Alerts
The indicator includes alerts for:
Skew regime shifts (cross above +0.25, cross below -0.25).
Price crossing above/below current POC.
Approaching a naked POC (within 1% of any active naked POC).
The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone.
How to use it properly
1) Regime filter
Use skew regime to decide what type of trades you should prioritize:
ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more.
DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more.
NEUTRAL: mean-reversion and POC magnet behavior tends to dominate.
This is not “buy when green.” It is context for what the auction is doing.
2) Level-based execution
Combine skew with VA/POC levels:
In neutral regimes, expect rotations around POC and inside VA.
In strong skew regimes, watch for acceptance away from POC and reactions at VA edges.
3) Naked POCs as targets and reaction zones
Naked POCs can act like unfinished business. Common workflows:
As targets in rotations.
As areas to reduce risk when price is approaching.
As “if it breaks cleanly, trend continuation” markers when price returns with force.
Parameter tuning guidance
Lookback
Controls how “local” the profile is.
Shorter: reacts faster, more sensitive to recent moves.
Longer: more stable, better for swing context.
Bins
Controls resolution of the profile.
Higher bins: more detail, more computation, more sensitive profile shape.
Lower bins: smoother, less detail, more stable skew.
Smoothing
Controls how noisy the skew oscillator is.
Higher smoothing: fewer regime flips, slower response.
Lower smoothing: more responsive, more false transitions.
POC tracking settings
Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts.
Limitations and what not to assume
This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means:
The profile is an approximation of where volume could have traded, not exact tape data.
Skew is best treated as a structural bias, not a precise signal generator.
Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality.
Summary
Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Chris_LEGODescription
Time-Anchored Volatility Grid is a precision analysis tool designed for traders who base their strategies on specific market events (e.g., London/New York Open, News Releases, or Daily Reset).
Unlike standard grid indicators that use arbitrary fixed distances, this tool allows you to "Anchor" the calculation to a specific historical candle. It then captures the market volatility of that exact moment to generate dynamic, context-aware grid levels.
🚀 Key Features
WYSIWYG Timezone Engine (What You See Is What You Get) Most Pine Script indicators struggle with timezone conversions. This version features a custom engine where you simply input the time you see on your chart (e.g., GMT+8). No more manual UTC conversions.
Automated Volatility Capture
Auto-Start Price: Automatically sets the grid origin based on the Low of your anchored candle.
Auto-Gap Calculation: Dynamically calculates the grid spacing based on the High-Low range of the target candle.
Bi-Directional Flexibility Toggle Long (upward) or Short (downward) grids independently. Perfect for hedging strategies or directional bias trading.
Gap Multiplier Fine-tune the grid density by applying a multiplier (e.g., 0.5 for tighter grids, 2.0 for wider swings) to the captured volatility.
Visual Debugging Includes an optional Anchor Line and detailed Data Labels to verify exactly which candle and price data are being used for your calculations.
How to Use
Set Your Anchor: In the settings, input the exact Year, Month, Day, and Time of the candle you want to reference (e.g., the 09:30 opening bell).
Sync Timezone: Ensure the User Timezone field matches the timezone displayed at the bottom right of your TradingView chart (e.g., America/New_York for US Stocks or GMT+8 for Asia).
Choose Logic:
Enable "Use Auto Start Price" to snap the grid to the candle's Low.
Enable "Use Auto Gap" to let the market's volatility define the grid size.
Customize: Adjust the Line Count and Colors to fit your chart theme.
Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation.
The indicator combines:
Slow EMA (50) to define the primary trend
Fast EMA (20) for intermediate trend alignment
Fastest EMA (9) for timing and sensitivity
200 SMA as a long-term structural reference
The moving averages change color dynamically:
Green when the MA is rising and price is above it (healthy trend)
Red when the MA is falling and price is below it (downtrend)
Yellow during transition phases, consolidation, or loss of momentum
The chart background is also color-coded to highlight the market regime:
Green → bullish bias (trend continuation)
Red → bearish bias
Black → conflict, correction, or consolidation zones (avoid aggressive entries)
Additionally, the script includes:
Logic for identifying low-wick candles, indicating directional strength
Volume confirmation using a 21-period volume moving average
📌 Indicator purpose:
To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves.
📈 Best suited for:
Trend following
Swing trading
Position trading
Market context and trend confirmation before technical setups
⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
Momentum Average [SWT]
Momentum Average (MMA)
What is the Momentum Average? This is not your typical trend follower. MMA Pro is an algorithmic convergence tool designed for traders who seek to filter market noise and trade with the true momentum on their side. Its core engine allows you to fuse the "DNA" of up to three different moving averages into a single, high-precision "Master Line."
🛠️ Key Tool Benefits
Data Convergence: By averaging up to three different MA types (EMA, SMA, WMA, VWMA, etc.), the indicator eliminates the erratic signals of individual averages, offering a smoothed curve that reacts primarily to institutional movements.
Volatility Visualization (Cloud): Thanks to the "Trend Cloud" between the two primary averages, you can immediately visualize price expansion and contraction.
Visual Confirmation (Pivot Dots): Identify the exact candle where the market slope shifts, ensuring you stay on the right side of the trend.
⚠️ Usage Philosophy: A Confirmation Tool, Not a Signal Generator
It is vital to understand that MMA Pro is not a "blind signal" tool. It is not designed to be traded every time a dot appears. Its true power lies in serving as a high-quality filter and confirmation layer:
Bias Validation: Use it to confirm the direction of your primary strategy. If your system gives a "Buy," the MMA Pro should ideally show bullish momentum.
Entry Filtering: Avoid entries during "chop" or sideways markets when the "Master Line" is flat or pivot dots are frequently flipping.
Exit Management: Many traders use it as a visual Trailing Stop; if the slope changes against your position, it may be time to protect profits.
💡 User Tips:
Nasdaq 1m/5m: Try combining an EMA with a VWMA to capture intraday volume averaged with price action.
Aesthetics: Customize the "Pivot Dots" colors to match your chart theme (Light/Dark).
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz)
SUMMARY
TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions.
Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied.
The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline.
WHAT THIS INDICATOR GIVES YOU
A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend.
An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage.
An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk.
An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure.
Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts.
SCIENTIFIC FOUNDATION (PLAIN ENGLISH)
Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other.
Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime.
Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap.
DATA AND SOURCES
This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required.
It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts.
HOW THE ENGINE WORKS (HIGH LEVEL)
Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering.
OUTPUTS AND HOW USERS SHOULD APPLY THEM
Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters.
Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime.
Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both.
The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown.
Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support.
SETTINGS GUIDE (WHAT MATTERS MOST)
Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe.
Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation.
Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes.
The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are.
LIMITATIONS (IMPORTANT FOR USERS)
This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths.
REFERENCES
Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33.
Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29.
DISCLAIMER
Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
High/Low Strat Trigger LinesHigh/Low Strat Trigger Lines that show the 1hr, 4hr, and Daily timeframe triggers
Fixed Risk + Contracts 2.0This is the upgraded version of my Contracts/Risk indicator, released in January 2026. Users will trade responsibly (and never overleverage again!)
1. Pre-Select Your Ticker
MES ES
NQ MNQ
MYM YM
M2K MCL MGC
GC SIL SI
2. Input Current Account Balance and Risk % Each Trade To Grow Your Account
3. Input Stop Amount In Ticks (Use Position Tool for ease)
4. Contract Risk Is Calculated Automatically!
Add to your favourites and comment below if you have any suggestions :)
MJ amd tableAsia, Londong and New york table showing each session what goes to happen depending on the movement of AMD
OF CVD Divergence Labels (Lite) by TheActualSnailCVD Divergence (Order Flow Proxy) — Lite
This indicator highlights price vs Cumulative Volume Delta (CVD) divergences directly on the price chart, using a lower-timeframe intrabar volume approximation and optional Open Interest (OI) confirmation.
It is designed to catch potential exhaustion, absorption, and early trend shifts, without cluttering the chart with extra panes or lines.
How it works
1️⃣ Intrabar Delta (Order Flow Proxy)
Volume is decomposed on a lower timeframe (e.g. 30s, 1m).
Each intrabar candle contributes volume to buying or selling pressure based on price movement.
This produces a delta (buy − sell volume).
Delta is accumulated into CVD, optionally reset on a higher timeframe (Daily / Weekly / Monthly).
This is not exchange-level footprint data — it’s a robust proxy that works on any TradingView symbol.
2️⃣ Pivot-Based Divergences
The script detects divergences using confirmed swing pivots:
Bullish Regular Divergence
Price makes a lower low
CVD makes a higher low
→ Suggests selling pressure is weakening
Bearish Regular Divergence
Price makes a higher high
CVD makes a lower high
→ Suggests buying pressure is weakening
Optional hidden divergences (continuation-type) can also be enabled.
All labels are plotted at the actual pivot bar, not repainting forward.
3️⃣ Open Interest filter (optional)
When enabled:
Labels are filtered by OI trend direction
You can require:
Rising OI (participation increasing)
Falling OI (position unwinding)
This helps reduce signals caused by low-liquidity noise or passive price movement.
Settings used (shown in screenshots)
These are the settings I personally use for cleaner, more precise pivot labels:
Lower TF (intrabar): 30s
Improves delta accuracy and reduces false divergences
CVD reset: Daily
Keeps CVD context relevant to the session
Pivot length: 5
Good balance between signal frequency and reliability
Use wicks for pivots: ✅ ON
Captures true extremes where absorption often happens
Min CVD diff filter: 0
No artificial filtering — rely on structure + confluence
Show hidden divergences: ❌ OFF
Focus on reversal-type signals
Enable OI filter: ✅ ON
Adds participation context
OI trend length: 5
Short-term confirmation without lag
Filter labels by OI: None
View all signals first, then judge context manually
How to use it (important)
This indicator is not a standalone trading system.
Best used together with:
Market structure (HH / HL / LL / LH)
Key levels (HTF levels, VWAP, range highs/lows)
Liquidity concepts (sweeps, equal highs/lows)
Volume behavior & session context
Divergence ≠ immediate reversal.
Think of it as a context tool, not an entry button.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice and should not be used on its own to make trading decisions.
Always combine with other confluences and proper risk management.
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs
This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?"
The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session.
Features & Methodology
1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes:
Daily & 4-Hour: Establishes the macro direction.
15-Min & 5-Min: Monitors intraday order flow.
Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish.
2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range.
Range High & Low: Defining the volatility of the opening hour.
Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount).
Quadrants (25% & 75%): Deep discount/premium zones for precision entries.
3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading.
Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them.
Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level.
Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet.
How to Use This Indicator
This tool is designed to identify Confluence:
Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green).
Wait for 10:30 AM EST: Allow the script to draw the First Hour Range.
Trade the Confluence:
Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels.
Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels.
Settings & Customization
Dashboard Toggle: Show or hide the table to keep charts clean.
Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps.
Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles.
Credits & Attribution
Concept: Inner Circle Trader (Michael Huddleston).
Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?"
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
Bollinger Bands - ALMA EditionBollinger Bands with Crossing Markers - A Small Simple Indicator as a Small Lightweight Supplement.
Green and red markers appear when the price breaks through the top and bottom of the bands, indicating weakening trend momentum and a possible correction or the beginning of a downtrend/uptrend. The BBand is excellent as the FIRST signal of weakening trends – it usually appears right after reaching extremes, i.e., after reaching the bottom or top of the local structure.
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster)
The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes.
It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability.
🔍 Concept & Idea
The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection.
Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions.
⚙️ How It Works
True Range Weighted Smoothing:
The source price (default: low) is multiplied by the true range values over the lookback period.
These weighted values are summed and normalized by the total true range sum.
The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness.
ATR-based Bands:
The Average True Range (ATR) is calculated with the same length as the smoothing period.
The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price.
Trend Determination:
When the source price crosses above the upper band, a bullish trend is signaled.
Conversely, crossing below the lower band signals a bearish trend.
These crossings update the trend state, which controls plotted bands and trend labels.
🧩 Inputs Overview
Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37).
Source – Price source used for calculation, defaulting to low.
Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45).
📌 Usage Notes
The TRS SuperTrend works well across various asset classes and timeframes.
The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods.
Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy.
Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart.
Background fills between bands and price improve visual clarity.
Combine with other confirmation tools and risk management practices for best results.
Not a standalone trading system; always validate and backtest prior to live trading.
⚠️ Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions.
Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
Trading Command Center# Trading Command Center (TCC)
## 📊 All-In-One Confluence Trading System
**Stop guessing. Start confirming.**
The Trading Command Center combines the most essential technical analysis tools into a single, unified indicator with a real-time **Confluence Dashboard** that tells you when multiple signals align—giving you higher-probability trade setups.
---
## 🎯 What Is Confluence Trading?
Professional traders don't rely on a single indicator. Studies show that **85% of professional traders use 2+ indicators** to confirm entries. Confluence trading means waiting for multiple independent signals to agree before taking action.
**One signal = noise. Multiple signals = conviction.**
This indicator does the heavy lifting by:
- Displaying all key technical levels on your chart
- Automatically scoring bullish vs bearish signals
- Alerting you when high-confluence setups appear
---
## 📦 What's Included
### On-Chart Overlays
| Component | What It Shows |
|-----------|---------------|
| **EMAs (9, 21, 50, 200)** | Trend direction at multiple timeframes |
| **VWAP + Bands** | Institutional fair value & standard deviation levels |
| **Dynamic S/R Zones** | Auto-detected support/resistance with touch counts |
| **Auto Trendlines** | Connecting recent pivot highs and lows |
| **Volume Highlights** | Background shading when volume exceeds 1.5x average |
### Dashboard Analysis (Top Right Panel)
| Indicator | Dashboard Shows |
|-----------|-----------------|
| **EMA Stack** | Perfect/partial bullish or bearish alignment |
| **Price vs EMA 200** | Above/below with % distance |
| **Price vs VWAP** | Intraday institutional bias |
| **RSI (14)** | Value + overbought/oversold status |
| **MACD** | Bullish/bearish + momentum direction + crosses |
| **Volume** | Ratio vs 20-period average |
| **ATR** | Current volatility level |
| **Confluence Score** | Net score from -10 to +10 |
---
## 🚦 How The Confluence Score Works
The system awards points for bullish and bearish conditions:
### Bullish Points
- Perfect EMA stack (9 > 21 > 50 > 200): **+2**
- Partial EMA alignment: **+1**
- Price above VWAP: **+1**
- RSI bullish (50-70): **+1**
- RSI oversold (<30): **+2** *(potential reversal)*
- MACD above signal: **+1**
- MACD rising momentum: **+1**
- MACD bullish cross: **+2**
- Above 200 EMA: **+1**
- High volume + green candle: **+1**
### Bearish Points
*(Mirror of above for bearish conditions)*
### Signal Interpretation
| Score | Meaning |
|-------|---------|
| **+5 to +10** | 🟢 STRONG BUY - Multiple confirmations aligned |
| **+2 to +4** | Bullish bias |
| **-1 to +1** | Neutral / Mixed signals |
| **-2 to -4** | Bearish bias |
| **-5 to -10** | 🔴 STRONG SELL - Multiple confirmations aligned |
---
## 📈 How To Use This Indicator
### For Trend Following
1. Check the **EMA Stack** status in the dashboard
2. Confirm price is on the correct side of **VWAP**
3. Wait for **confluence score ≥ +3** (longs) or **≤ -3** (shorts)
4. Use S/R zones for entry/exit targets
### For Reversal Trading
1. Look for **RSI overbought/oversold** conditions
2. Watch for price at a **Dynamic S/R Zone**
3. Wait for **MACD cross** confirmation
4. Enter when confluence supports the reversal
### For Day Trading
1. Use **VWAP** as your primary bias (above = long bias, below = short bias)
2. Trade pullbacks to **EMA 9/21** in the direction of VWAP
3. Avoid entries when **ATR** shows "HIGH VOL" (choppy conditions)
4. Target the opposite **VWAP band** or nearest S/R zone
---
## ⚙️ Recommended Settings
### Default (Works for most markets)
All settings are optimized out of the box for stocks, crypto, and forex on 5min-Daily charts.
### Scalping (1-5 min charts)
- Reduce Pivot Lookback to 5-7
- Reduce Zone Width to 0.3%
### Swing Trading (4H-Daily)
- Increase Pivot Lookback to 15-20
- Increase Zone Width to 0.8-1.0%
---
## 🔔 Alerts Included
- **Strong Bullish Confluence** - Multiple indicators aligned bullish
- **Strong Bearish Confluence** - Multiple indicators aligned bearish
- **MACD Bullish/Bearish Cross** - Momentum shift
- **RSI Overbought/Oversold** - Extreme readings
- **Volume Spike** - Volume exceeds 2.5x average
---
## 💡 Pro Tips
1. **Don't chase low-confluence setups** - Wait for score ≥ +3 or ≤ -3
2. **Respect the 200 EMA** - It defines the macro trend
3. **Volume confirms moves** - High volume signals are more reliable
4. **S/R zones with more touches are stronger** - Look for + touch counts
5. **MACD crosses near zero line are strongest** - Avoid extended readings
---
## ⚠️ Important Notes
- **RSI, MACD, and ATR values are shown in the dashboard only** (not plotted separately). If you want the actual plots, add TradingView's built-in indicators alongside this one.
- **This is a tool, not a trading system** - Always use proper risk management
- **Past performance ≠ future results** - Confluence improves probability, not certainty
---
## 🔧 Customization
All components can be toggled on/off:
- Show/hide EMAs, VWAP, S/R Zones, Trendlines
- Adjust all lengths and multipliers
- Change colors to match your chart theme
- Move dashboard position (all 4 corners)
---
**Questions or suggestions?** Drop a comment below!
*If this indicator helps your trading, please leave a like/follow—it helps others find it too.*
---
**Tags:** confluence, ema, vwap, rsi, macd, support resistance, trendlines, volume, atr, dashboard, all-in-one, trading system, beginner friendly
Herramienta Risk:Reward Pro - MECTRADEROverview: This is an advanced Risk/Reward management tool specifically designed for traders who execute based on Ticks (perfect for Futures like NQ/ES, Gold, or Forex). The main focus of this script is visual clarity and precision.
Key Features:
✅ Clean Visuals (No Dimming): Built using linefill technology with a 92% transparency rate. This ensures the price action remains vibrant and clear. Unlike standard boxes, this tool does not darken or "muddy" the candles when the price enters the zone.
✅ Tick-Based Calculation: Define your Stop Loss and up to 5 Take Profit levels using Ticks for maximum precision.
✅ Toggleable TP Levels: You can enable or disable TP1 through TP5 individually to match your scaling-out strategy.
✅ Dynamic Labels: Automatically displays the level name (Entry, SL, TP) along with the exact price value on the right-side scale.
✅ Long/Short Toggle: Switch between buy and sell setups instantly with a single drop-down selection.
How to use:
Add the script to your chart.
Open Settings and choose your Mode (LONG or SHORT).
Use the Precision Crosshair icon next to "Price Entry" to pick your execution level directly from the chart.
Adjust your Stop Loss and Profit Ticks.
The tool will project your risk zones professionally without interfering with your technical analysis.
CGI - Option Premium Tracker [CE vs PE]## ⚡ CGI - Nifty Option Premium Tracker
**"Stop Switching Tabs. Decode the Institutional Battle."**
Trading Options in Nifty & BankNifty requires speed and clarity. Retail traders lose money because they look at the Spot Chart, but Big Players manipulate the **Premium Chart**.
The **CGI Premium Tracker** solves this. It plots both the **CALL (CE)** and **PUT (PE)** premium charts directly on a single screen, allowing you to spot the real winner in real-time.
---
### 🎯 Key Features (Free Version)
#### 1. ⚡ Dual-Chart Technology
* Visualize the **CE (Green Candles)** and **PE (Red Candles)** side-by-side.
* **The Logic:** If Spot is moving up, but the Call Premium isn't following (Divergence), it's a trap. This tool helps you see that instantly.
#### 2. 🐋 Operator Candle Detection
* **Blue Candles:** Highlight massive volume spikes (1.5x Average). This usually indicates "Smart Money" entering positions.
* **Yellow Candles:** Indicate extreme churn/panic.
#### 3. 🛡️ Institutional Anchors (Fresh AVWAP)
* Standard VWAP lags. Our **Fresh AVWAP** resets daily or at the first 15-minute close, showing you the *true* intraday average price where institutions defend their positions.
#### 4. 🚀 Scalper's EMA
* Includes the classic 8-EMA setup. A visual guide to stay in the trend as long as momentum holds.
---
### 🛠️ How to Use This Tool
1. **Select Your Strikes:** Go to settings and simply type the Strike name (e.g., `NIFTY24FEB26000CE`).
2. **Watch the Flow:** When Green Candles (CE) dominate Red Candles (PE) above the Anchors, the trend is real.
3. **Spot the Operator:** Watch for **Blue Candle** breakouts to identify where the momentum is starting.
---
### 🔓 Unlock Institutional Intelligence
This is the **Basic Visualization** tool.
Our **CGI Titanium Engine** (Invite-Only) is designed for professional analysis, adding:
* ✅ **Institutional Flow Ribbon:** Visualizes the dominant trend without the noise.
* ✅ **Trap Zone Detection:** Automatically highlights "Judas Swings" and fake-outs.
* ✅ **Market Consensus:** Advanced geometry to find high-probability reversal zones.
**👉 Check the Author Profile below to join the CGI Community!**
👇 **Drop a BOOST (Like) if this tool improved your screen setup!** 🚀






















