Multi-TF Quarter & Session Candle Indicator-aamirlang [Beta]Key Features:
Quarter Identification: It detects 90-minute HTF candles on 5-minute charts and labels them as Q1, Q2, Q3, Q4 for clear session tracking.
Session Identification (Asia, London, NY, PM): Identifies sessions on 15-minute and 60-minute charts and labels them automatically. So that you can visually see whats happening on Higher TimeFrame.
CISD Detection: Highlights Critical Swing Directions to pinpoint potential market reversals.
Sweep Detection: Automatically draws sweeps to indicate price levels tested or broken.
Multi-Timeframe Support: Works seamlessly on 1m, 5m, 15m, 60m, Daily, Weekly, and Monthly charts.
How It Works:
If you do not see higher TF Candles please enable them from the Menu.
Detects and prints HTF candle and automatically detects Quarters and Sessions.
Automatically maps 5m to 90m (Quarter of a Session) HTF and labels Q1/Q2/Q3/Q4 to each candle so that you can visually see how a session is going on and what to expect in comming sessions.
Automatically detects a Session and labels sessions Asia/London/NY/PM.
When working in Higher TF other that 4H, It prints Daily candles by labeling them.
Other timeframes show normal candle time or standard D/W/M formatting.
CISD module identifies critical swing directions.
Sweeps are drawn automatically to highlight tested levels.
By using this Indicator:
Quickly identify session and quarter candles without manual calculations.
Detect intraday swing directions and potential reversal zones.
Visualize volatility for better risk management.
Perfect for intraday, swing, and long-term analysis.
Credits:
Credit to: @traderdaye for Quarterly theory.
and to all the beautiful people on Tradingview who contributed.
Note:
This is free and version so it may contain error or bugs please leave a comment for any bugs, suggestions and queries.
Enjoy Trading.
Трендовый анализ
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
VOLX+ VWAP Range BandsVOLX+ plots multiple VWAP-weighted high/low channels across different lookback periods to show how price behaves relative to short-term and long-term value zones.
Instead of using a single VWAP line, this tool creates four rolling VWAP envelopes:
Short-term range (fast reaction)
Mid-term range
Mid-mid range (transitional layer)
Long-term range (macro context)
Each band is computed as:
VWAP-High = SMA(high × volume, length) ÷ SMA(volume, length)
VWAP-Low = SMA(low × volume, length) ÷ SMA(volume, length)
This produces dynamic price channels that account for both price and traded volume, offering a clearer sense of where the market is accepting or rejecting value.
What It Shows
Four VWAP-weighted high/low bands
A short-term VWAP midline
Price line
Three SMAs for trend context
Optional visibility switches for each VWAP band
The filled regions between VWAP highs and lows create a layered “value map,” helping you interpret:
Trend continuation (price hugging outer VWAP bands)
Mean reversion (price returning toward inner bands)
Volatility contraction/expansion
Shifts in short-term vs long-term balance
🧠 How to Use
Use the short-term band for day-trading context or detecting short-term excess.
Use mid-term and mid-mid bands to confirm developing structure.
Use the long-term VWAP band to understand broader value zones.
Combine VWAP bands with SMAs and structure analysis for confluence.
This indicator is intended for price interpretation and analytical support.
✔ Does Not Repaint
The script uses rolling VWAP formulas and standard MAs; everything is stable and non-repainting.
Relative Value & Risk Analytics DashboardThis is your risk-adjusted alpha analysis tool - exactly what hedge fund and insurance company clients want to see.
Attractiveness Score | Composite score combining RV and Risk (0-100)
Relative Performance | vs Benchmark (SET/SPY), RS Ratio Trend, 52W Position, Spread Z-Score
Risk Metrics | Beta, Alpha, Sharpe, Sortino, Information Ratio, Volatility
Correlation | Benchmark Correlation, R-Squared, Regime Change Detection
Pair Trade | Peer Correlation, Pair Z-Score, Long/Short Signals
Factor Exposure | Momentum (1/3/6M), Mean Reversion Signal, Distance from SMA50
Drawdown | Current DD, Max DD, Recovery Needed, Ulcer Index, Calmar, VaR
Key Features:
Benchmark-Relative Analysis: Compare any stock vs SET Index or any other benchmark
Pair Trade Signals: Automatically generates long/short signals based on Z-score
Risk-Adjusted Returns: Sharpe, Sortino, Information Ratio - what your clients actually care about
Regime Change Detection: Alert when correlation dynamics shift
Drawdown Risk: VaR, Ulcer Index, Calmar Ratio for risk-conscious clients
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
KIMATIX S|R Zones Intra-SwingKIMATIX S|R Zones Intra-Swing is a higher-timeframe support–resistance engine designed to map the most important swing levels for intraday and swing traders.
The script scans Daily and 4H price action, detects wick-based swing highs and lows,
and converts them into clean S/R zones that project into the future.
Zones are color-coded by timeframe and by role (support or resistance),
giving you an instant visual map of where price is most likely to react.
When price breaks cleanly through a zone,
it dynamically flips (resistance → support or support → resistance),
so your levels always reflect the current market structure.
To avoid clutter, only the closest zones around current price are displayed – ideal for planning entries, targets, and stop placement.
Use it as a higher-timeframe roadmap and combine it with your intraday execution system for precise, high-confluence trades.
DWMY OHLCShows the prior D/W/M/Y OHLC levels with precise horizontal segments that update at each new session. Great for spotting reaction zones, sweeps, and bias shifts at important levels.
Monthly and Yearly levels are toggled off by default to avoid clutter, but can of course be toggled back on in the settings
KIMATIX S|R Zones ScalpKIMATIX S|R Zones Scalp is a multi-timeframe support–resistance engine built for intraday scalpers and day traders.
The script automatically detects swing highs/lows on higher timeframes and converts them into precise S/R zones that extend into the future.
Each zone is visualized as a clean price band, color-coded by timeframe (15m / 5m) and by role (support or resistance).
When price breaks decisively through a zone, that level dynamically flips from resistance to support (or vice versa), keeping the map always up to date.
To avoid chart clutter, only the closest zones around current price are displayed, giving you an ultra-clean “trade map” with the most actionable levels for entries, partials, and stops.
Perfect for scalping indices, futures, FX, and crypto.
Key Features
Automatic 15m and 5m support & resistance zone detection
Wick-based swing identification for precise levels
Dynamic role flip: resistance → support and support → resistance after breaks
Distance-based filtering: shows only the nearest zones around price
Adjustable zone width, lookback and projection length
Separate colors for HTF/LTF and for support vs. resistance
Works on any symbol and intraday timeframe
Use it as a standalone S/R map or as a confluence layer with orderflow, volume or trend tools.
Ghost Super EMAGhost Super EMA: Dynamic Dual-Filter Trend System
Indicator Overview
The GHOST SUPER EMA is a robust trend-following indicator designed to give traders a comprehensive view of trend direction, volatility, and bias. It achieves this by combining a unique mashup of two distinct Supertrend bands with a single Exponential Moving Average (EMA).
The result is a triple-layered visualization of the market's structure: the two Supertrend bands form a Dynamic Cloud for visual support/resistance, and the EMA provides a crucial speed confirmation filter.
Core Components & Technical Justification
The core of this indicator functions powerfully on the current chart timeframe when the Timeframe input is left blank. The components are combined to create a unique, layered filtration system:
Outer Supertrend (Factor 3.35): This is the Macro-Trend Boundary. Its higher factor creates a slower, wider band that acts as the primary threshold for trend direction, preventing noise-related whipsaws often seen with standard settings.
Inner Supertrend (Factor 1.67): This is the Volatility Boundary. Its lower factor makes it quicker and measures current market momentum. It provides an early alert for volatility contraction or expansion within the established macro-trend.
Supertrend Cloud: The visual area between the two Supertrend bands represents a Dynamic Support/Resistance Zone. The cloud's width reflects market volatility. Price trading within this zone signals potential consolidation or momentum loss. Its color is determined by the Close price relative to the Outer Supertrend.
EMA (Length 20): This is the Speed Confirmation Filter. A classic trend measurement, its color (Green/Red) serves as an independent velocity check, validating the primary trend signal from the Supertrend Cloud.
Trading Signals and Confirmation
A confirmed trading bias requires the simultaneous alignment of both the Cloud and the EMA:
🟢 Bullish Confirmation (Go Long): The Supertrend Cloud is Green (Price above Outer ST) AND the EMA is Green (Price above EMA).
🔴 Bearish Confirmation (Go Short): The Supertrend Cloud is Red (Price below Outer ST) AND the EMA is Red (Price below EMA).
Optional Advanced Filtering: Multi-Timeframe (MTF) Tool
The Timeframe input is optional and serves as an advanced filter for obtaining market context.
Function: By entering a Higher Timeframe (HTF) value (e.g., entering "4H" or "D"), the indicator uses the request.security() function to fetch all three components (Dual Supertrend and EMA) from that stable, larger timeframe.
Utility: This anchors trading decisions to the macro-trend, filtering out lower-timeframe noise and false signals. Traders can ensure their entries on a fast chart (e.g., 5-minute) are aligned with the dominant trend of the chosen higher timeframe (e.g., 1-hour). If the input is left blank, the indicator runs on the current chart's timeframe.
Customizable Settings
The following inputs are available for user configuration:
ATR Length: Period for Average True Range calculation (Default: 10).
Supertrend Factor 1: Factor for the Outer (Slow) Supertrend (Default: 3.35).
Supertrend Factor 2: Factor for the Inner (Fast) Supertrend (Default: 1.67).
EMA Length: Period for the Exponential Moving Average (Default: 20).
Timeframe: Optional MTF input. Leave blank for current chart timeframe (Default: "").
Disclaimer: Past performance is not indicative of future results. This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions.
5MA＋スーパートレンド + Disparity Scalping (SIMPLE FILTER)5MA + ATR Trend Filter + Disparity Scalping
This indicator combines a five-EMA trend framework, an ATR-based trailing trend line, a volatility breakout detector, and an ultra-fast scalping module using RSI and custom momentum prediction.
It is designed for both trend continuation and rapid reversal trading.
🔹 Main Components
1️⃣ Five-EMA Trend Framework
Uses 9 / 20 / 50 / 100 / 200 EMAs
Identifies short-term and long-term market direction
Provides dynamic support and resistance
Helpful for determining breakout vs. pullback conditions
2️⃣ ATR-Based Trailing Trend Line
Uses ATR multiplier to build a trailing stop line
Color change indicates directional shift
Works as a trend filter or trailing stop reference
Helps avoid counter-trend trades during strong trends
3️⃣ High-Volatility Breakout Detector (Optimized for Fast Markets)
Uses ATR expansion, Bollinger band breakout, and volatility comparison (HV vs RV)
Detects sudden market acceleration
Generates breakout BUY/SELL signals when volatility pressure aligns with direction
Useful for explosive markets such as gold or crypto, but compatible with all assets
4️⃣ Ultra-Fast Disparity Scalper
Measures price distance from EMA5 and EMA10
Uses RSI for exhaustion filtering
Predicts momentum turns with a custom RVI-based algorithm
Generates early reversal BUY/SELL signals before full market reaction
Designed for scalping in high-speed environments
5️⃣ Simple Overheat Filter
Blocks trades in extremely overbought/oversold zones
Gray signals indicate low-quality trade setups to avoid
Helps remove “chasing” entries during excessive deviation
🎯 Best Use Cases
Scalping fast reversals
Entering trends after confirmed volatility breakouts
Filtering entries during extreme overbought/oversold phases
Combining EMA structure with breakout momentum
⚠️ Important Notice
This tool is designed to support decision making, not guarantee trade results.
For best performance, combine with:
Price action (market structure)
Volume/volatility context
Support and resistance analysis
🏷️ Short Description (for compact summary)
Five-EMA trend structure with ATR trailing filter, volatility breakout detection, and ultra-fast scalping using RSI + momentum prediction. Suitable for both rapid reversals and trend continuation setups.
5MA＋TrendMagic + Disparity Scalping (SIMPLE FILTER)5MA + Trend Filter + Disparity Scalping
This multi-purpose indicator combines a five-EMA trend structure, a volatility-based trend filter, and an ultra-fast scalping module to detect both trend continuation and sharp reversal opportunities.
It is suitable for scalping, day trading, and trend-following strategies.
🔹 Main Components
1️⃣ Five-EMA Trend Structure
Displays 9 / 20 / 50 / 100 / 200 EMA levels
Helps identify short-term and long-term market direction
Useful for support and resistance during trending markets
2️⃣ Volatility-Driven Trend Filter
Uses CCI and ATR to form a dynamic trailing line
The line switches color based on momentum direction
Can act as a trailing stop or trend confirmation filter
Helps avoid counter-trend entries
3️⃣ High-Volatility GOLD Signal
Detects sudden volatility expansions using ATR, Bollinger metrics, and volatility comparison (HV vs RV)
Marks rapid breakout situations with potential continuation setups
Available for all assets, optimized for highly volatile markets
4️⃣ Ultra-Fast Disparity Scalper
Measures price deviation from EMA5 and EMA10
Confirms exhaustion using RSI + momentum prediction from a custom RVI model
Generates early BUY/SELL reversal markers
Detects momentum shifts before price fully reacts
5️⃣ Simple Overheat Filter
Prevents trades in extremely overbought/oversold zones
Gray-colored signals indicate unsafe trades to avoid
🎯 Best Use Cases
Catching early reversals during fast movement
Identifying strong trend continuation after volatility expansion
Avoiding low-probability scalps in overheated conditions
Applying EMA structure for confluence with price action
⚠️ Note
This indicator is a decision-support tool, not a standalone signal generator.
For best precision, combine with:
Market structure
Volume analysis
Support / resistance levels
🏷️ Short Description (for compact field)
Multi-function tool combining 5EMA structure, volatility-based trend filtering, and ultra-fast reversal scalping using RSI + custom RVI momentum. Ideal for both trend continuation and rapid reversals.
RSI + Psy + ADX P2RSI + Psy + ADX
This indicator combines multi-length RSI analysis with the Psychological Line (PSY) and ADX trend strength to highlight reversal zones, emotional extremes, and trend conditions in a single unified panel.
🔹 Features
1️⃣ Triple RSI with Dynamic Colors
Displays Short / Mid / Long RSI values (9 / 26 / 52 by default)
Line color changes based on RSI levels:
🔴 Overbought (above 68)
🟢 Oversold (below 32)
⚪ Neutral market conditions
Fixed zone levels at 70 / 50 / 30 for simple visual analysis
2️⃣ Psychological Line (PSY) Extreme Signal
Measures the percentage of bearish candles in the selected period
Only highlights emotional extremes (overbought & oversold conditions)
Red/Green histogram makes market sentiment easy to read
3️⃣ ADX Trend Strength Detector
Confirms trend momentum using ADX
Color-coded levels:
🔵 Weak trend
🟡 Moderate trend
🔴 Strong trend (possible trend continuation)
Helps avoid counter-trend trades during strong momentum
4️⃣ RSI Background Highlight (Mid-term RSI Only)
Background turns RED in overbought area
Background turns GREEN in oversold area
Provides fast and clean recognition of reversal zones
🎯 Best Uses
Identifying low-risk reversal entry zones
Avoiding entries against strong trends
Confirming momentum and sentiment alignment
Useful for scalping, day-trading, and swing-trading strategies
💡 Tip
For higher precision, combine this indicator with:
🔹 Support/Resistance Levels
🔹 Candlestick Reversal Patterns
🔹 Volume Spikes or Breakout Tools
3 Lines RCI + Psy Signal + RSI Background📌 3 Lines RCI + Psy Signal + RSI Background
This indicator combines three RCI lines, Psychological Line signals, RSI-based background highlights, and ADX strength detection to visualize market momentum, trend strength, and potential reversal zones.
🔍 Main Features
📌 1. Triple RCI (Rank Correlation Index)
Displays Short / Mid / Long RCI
Detects momentum shifts and trend reversals
Highlight zones:
Overbought: +80 ~ +100 (Red Zone)
Oversold: -80 ~ -100 (Green Zone)
📌 2. Psychological Line Signal
Column bars appear only in extreme conditions:
Overbought → Red Bars
Oversold → Green Bars
Helps detect short-term sentiment extremes
📌 3. RSI Background Highlight
Red Background: RSI > Overbought threshold
Green Background: RSI < Oversold threshold
Provides a visual cue of underlying market pressure.
📌 4. ADX Trend Strength
ADX line color shows strength level:
Blue: Weak trend
Yellow: Moderate trend
Red: Strong trend
Useful to identify whether signals occur in a trend or range state.
🎯 Trading Usage Tips
RCI + RSI + Psy confluence can identify strong reversal timing.
Use signals only when ADX is weak or moderate to avoid counter-trading a strong trend.
Combine short/mid RCI crossovers with extreme zones for potential entry timing.
⚙️ Suitable For
Scalping, day trading, swing trading
Stocks, Forex, Crypto, Indices, Commodities
ULTRA PLATINUM V51. LONG (BUY) SETUP
When to Enter:
Signal: Wait for a Blue "AL" Label to appear below the candle.
Bar Color: The candle body should turn Green (indicating a strong bullish trend).
Panel Confirmation (Right Corner):
Squeeze Momentum: Should show "MOMENTUM LONG" (Green).
Market Type: Should say "TREND VAR" (Green). If it says "YATAY (RISKLI)" or "CHOPPY", it is better to wait.
EMA Safety: Should say "GÜVENLİ" (Safe).
Action:
Open a Long position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Set your targets to the prices shown under "KAR AL 1" (TP1) and "KAR AL 2" (TP2).
2. SHORT (SELL) SETUP
When to Enter:
Signal: Wait for an Orange "SAT" Label to appear above the candle.
Bar Color: The candle body should turn Red (indicating a strong bearish trend).
Panel Confirmation:
Squeeze Momentum: Should show "MOMENTUM SHORT" (Red).
Market Type: Should say "TREND VAR".
EMA Safety: Should say "GÜVENLİ".
Action:
Open a Short position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Use the TP1 and TP2 levels from the Panel.
3. RE-ENTRY STRATEGY (Scaling In)
This feature allows you to increase your position size if the trend continues.
Long Re-Entry: Look for a small Green Triangle below the bar. This means the price pulled back slightly and is now pushing up again (RSI crossover). You can add to your Long position here.
Short Re-Entry: Look for a small Red Triangle above the bar. You can add to your Short position here.
4. CRITICAL WARNINGS (When NOT to Trade)
Gray Candles: If the candles are Gray, the market is indecisive. Avoid entering new positions even if you see a signal.
Squeeze Mode: If the Panel says "SIKIŞMA VAR (BEKLE)" (Squeeze On), it means volatility is very low. A big move is coming, but the direction is uncertain. Wait until the squeeze breaks and the panel changes to Momentum Long or Short.
High Risk: If the panel says "ÇOK YAKIN (RİSK)" regarding the EMA, the price is too close to the 200 EMA. This often acts as a magnet or a wall; proceed with caution.
Omni-Divergence Pro [Hodldean]Omni-Divergence Pro
Most traders rely on a single indicator (like RSI or MACD) to make decisions. The problem? Single indicators are noisy, prone to false signals, and fail in changing market conditions.
Omni-Divergence Pro is different. It does not rely on one data point. Instead, it deploys a Consensus Engine—an underlying algorithm that aggregates 11 professional-grade market models into a single "Vote."
Only when the Price Action structurally disagrees with this Mathematical Consensus do you get a signal.
How It Works: The 3-Layer Filter
This script is designed to filter out 90% of market noise and only present high-probability setups using a proprietary 3-step validation process:
1. The Consensus Engine (11-Factor Model) Instead of just looking at momentum, we calculate a normalized score based on 11 distinct market dimensions, ranging from standard trend followers to advanced Digital Signal Processing (DSP):
Trend: Hull MA (HMA), Kaufman Adaptive MA (KAMA), Ichimoku Cloud.
Momentum: Smoothed RSI, Stochastic RSI, Donchian Channels.
Advanced DSP: Ehlers Super Smoother, Ehlers Fisher Transform, Ehlers Cyber Cycle.
Next-Gen Filters: Laguerre Filter, ALMA (Arnaud Legoux / JMA Proxy).
2. Structural Divergence (The Trigger) We do not look for simple "oversold" levels. We look for Structural Disagreement.
Bullish Signal: Price makes a Lower Low, but the Consensus of 11 indicators makes a Higher Low. The underlying data is screaming "Strength" while price is still dropping.
Bearish Signal: Price makes a Higher High, but the Consensus fails to confirm it.
3. The Volume Veto (The Confirmation) A divergence without volume is a trap. This system includes an integrated RVOL (Relative Volume) Filter.
If a signal forms on low volume (weekend/lunch hour), it is rejected.
Signals are only valid if Institutional Volume supports the move.
Features at a Glance
Clean Charts: No messy lines or oscillators. You only see "BUY" and "SELL" labels when a validated signal occurs.
Dual-Mode Detection:
Regular Divergence: For catching tops and bottoms (Reversals).
Hidden Divergence: For entering pullbacks in a strong trend (Trend Continuation).
Zero Repainting Logic: Signals are generated based on strict pivot confirmation. Once a signal is printed and the candle closes, it never disappears.
Technical Specifications
Confirmation Lag: This system prioritizes accuracy over speed. Signals appear upon the confirmation of a Pivot High/Low (default: 5 bars).
Visual Offset: Labels are plotted in the past (offset) to pinpoint exactly where the structural top/bottom occurred, providing clear context for stop-loss placement.
Best Timeframes: Optimized for 15m, 1H, 4H, and Daily charts. (For higher timeframes like 4H/Daily, consider lowering the Lookback setting to 3).
⛔ ACCESS & PRICING
This is an Invite-Only script. To protect the proprietary "Consensus Engine" logic, the source code is hidden.
Trading involves risk. This tool is designed to assist in analysis, not to guarantee profits. Past performance is not indicative of future results.
VWAP From Pivots Lows and Highs
This script starts automatically VWAP from pivot lows and highs.
Parameter allows you to enable up to 3 VWAP (default).
If you use 3, the VWAP from the last three pivots point will be drawn.
If you use 1, just the last pivot point will be used.
You can also just enable VWAPs starting from pivot lows or highs.
Let me know if there are any problems.
Non-Repainting Dynamic EMA SystemDynamic EMA System - Detailed Explanation
Overview
This indicator creates four adaptive Exponential Moving Averages (EMAs) that automatically adjust their periods based on current market conditions. Unlike traditional fixed-period EMAs, these lines dynamically become faster or slower to better match the market's behavior.
Core Components
1. Base EMA Lengths (Starting Points)
EMA 1: Base period of 10 (fastest)
EMA 2: Base period of 20 (fast-medium)
EMA 3: Base period of 30 (medium)
EMA 4: Base period of 200 (trend identifier)
These base values are not fixed—they serve as starting points that get multiplied by various market condition factors.
Market Analysis Features
The indicator analyzes 12 different market characteristics to understand current conditions:
Technical Indicators Used:
RSI (Relative Strength Index)
Measures momentum and overbought/oversold conditions
Normalized to 0-1 scale
ADX (Average Directional Index)
Measures trend strength
Higher values = stronger trends
Bollinger Bands Position
Shows where price sits relative to volatility bands
Indicates potential reversals or breakouts
VWAP (Volume Weighted Average Price)
Institutional trading benchmark
Signals if price is above/below average weighted price
Ichimoku Cloud
Japanese indicator showing support/resistance
Tenkan-Kijun relationship indicates trend direction
TRAMA (Triangular Moving Average)
Advanced adaptive moving average
Responds to genuine price movements
Volume Analysis
Compares current volume to 20-period average
Higher volume = more significant moves
ATR-Based Volatility
Weighted by volume for accuracy
Adjusts EMAs to market speed
Shannon Entropy
Measures market randomness vs. order
High entropy = choppy; Low entropy = trending
Price Correlation (Short-term)
How consistent price movements are
Detects momentum shifts
Price Correlation (Long-term)
Broader trend consistency
Confirms regime stability
Volume Strength
Normalized volume ratio
Validates price movements
How Length Adaptation Works
Market Regimes Identified:
The system identifies 4 distinct market conditions based on the 12 features:
Regime 1 (Green): Calm, ranging market → Shorter EMAs (more responsive)
Regime 2 (Blue): Strong trending market → Medium-length EMAs (balance speed/noise)
Regime 3 (Red): High volatility/choppy → Longer EMAs (filter noise)
Regime 4 (Gray): Transitional/neutral → Moderate EMAs (adaptive middle ground)
Adaptation Formula:
Each EMA length is calculated as:
Final Length = Base Length × Regime Multiplier × Volatility Adjustment × Momentum Adjustment × Entropy Adjustment
Where:
Regime Multiplier: 0.3x to 2.5x depending on market type
Volatility Adjustment: Increases length during high volatility (filters noise)
Momentum Adjustment: Based on RSI - extreme readings adjust sensitivity
Entropy Adjustment: Lower entropy (trending) = tighter EMAs
Key Adaptive Features
1. Volatility Response
When market volatility increases:
EMAs lengthen automatically to avoid whipsaws
Calculated using ATR weighted by volume
2. Volume Integration
Higher volume makes the system:
React faster to price changes
Increase learning rate
Trust the current move more
3. Correlation Analysis
Short-term correlation: Detects immediate momentum
Long-term correlation: Confirms overall trend stability
Adjusts EMA sensitivity accordingly
4. Entropy Monitoring
Measures market "disorder"
Trending markets → Tighter EMAs (follow trend)
Choppy markets → Wider EMAs (reduce noise)
Non-Repainting Design
Critical Safety Features:
Confirmed Data Only
All calculations use close , high , low , etc.
Current bar data is only used if barstate.isconfirmed
Locked Updates
EMA lengths only change when bar closes
Variables prefixed with confirmed_ store locked values
No Look-Ahead
System learns from past bars only
Future data cannot influence current values
Historical Consistency
Once a bar closes, its EMA values never change
Alerts and signals are reliable
Visual Interpretation
Background Colors:
Green: Calm/ranging market (Regime 1)
Blue: Strong trend (Regime 2)
Red: High volatility/choppy (Regime 3)
Gray: Transitional state (Regime 4)
Color transparency indicates confidence:
Solid color = High confidence in regime identification
Faint color = Lower confidence, potential transition
EMA Lines:
Red EMA (fastest): Short-term momentum
Orange EMA: Medium-term trend
Yellow EMA: Intermediate trend confirmation
Blue EMA: Long-term trend direction
Information Dashboard
The top-right table displays:
Metric Purpose
Regime Strength How strongly current conditions match the identified regime (0-1)
Silhouette Score Quality of regime identification (>0.5 = Excellent, >0.2 = Good)
EMA Values & Lengths Current price level and adaptive period for each EMA
Vol Volatility Volume-weighted volatility measure
Entropy Market randomness level (0 = trending, 1 = random)
Volume Strength Current volume relative to average
Learning Rate How quickly the system adapts (higher = faster adaptation)
Trading Applications
Trend Following:
EMAs aligned in order (1 > 2 > 3 > 4) = Strong uptrend
EMAs aligned reversed = Strong downtrend
Use EMA 4 as major trend filter
Entry Signals:
Fast EMA crosses medium EMA in trend direction
Price pullback to EMA 3 in trending regime
All EMAs converging in ranging regime
Exit Signals:
Fast EMA crosses below medium EMA
Regime change (background color shift)
Silhouette score drops (poor quality)
Regime-Based Strategy:
Green Background: Range trading, fade extremes
Blue Background: Trend following, ride momentum
Red Background: Reduce position size, wait for clarity
Gray Background: Cautious, potential regime shift
Advantages Over Standard EMAs
Automatic Adjustment: No manual tweaking needed for different markets
Context Aware: Understands if market is trending, ranging, or volatile
Volume Integration: Respects institutional involvement
Multi-Factor Analysis: Uses 12 indicators, not just price
Quality Metrics: Silhouette score shows when to trust signals
Non-Repainting: Reliable for backtesting and live trading
Best Practices
Do:
Wait for bar close before acting on signals
Check Silhouette score (>0.2 is reliable)
Use regime color as risk filter
Combine with your trading system
Don't:
Trade against EMA 4 in strong trends
Ignore regime changes
Use in extremely low liquidity
Expect perfection in all conditions
Summary
This is an intelligent, self-adjusting EMA system that reads 12 different market characteristics to automatically optimize its speed. It identifies whether the market is trending, ranging, volatile, or transitional, then adjusts all four EMAs accordingly. The non-repainting design ensures historical accuracy, while the quality metrics (Silhouette score, regime strength) tell you when to trust the signals most.
RSI 14 Cross Up SMA(14) With Volume FiltersUpgrade previous script to show crossover volume strength
RSI 14 Cross Up SMA(14) Within Last 4 BarsMomentum based crossover, seems to be best for swing trades
MMBS HkOrE FX [V5.11]The Multi-Model Bias System (MMBS) is a composite bias-detection framework that evaluates price behavior using three independent analytical engines: structural confirmation, normalized volatility expansion, and momentum velocity dynamics. The goal of the tool is not to generate trading signals, but to identify the dominant directional bias through multi-factor validation.
🔧 1. Structural Recognition Engine (Multi-Pivot Confirmation)
MMBS identifies market structure using a multi-confirmation pivot model rather than a single swing point.
A Swing High/Low is only confirmed when several consecutive pivot conditions align.
This reduces noise and produces a “stable structure map.”
A bullish bias requires sequential higher-low and higher-high confirmations; bearish bias requires the opposite.
Because this model relies on progressive confirmation, it behaves differently from common fractal-based structure indicators.
This approach allows the bias to remain stable during minor price fluctuations.
🔧 2. Normalized Volatility Boundary (Modified ATR Model)
Volatility is processed using a custom ATR-based normalization:
The script calculates a rolling ATR range, then scales it using a smoothing function to prevent extreme expansion.
This produces a volatility boundary line that adapts proportionally to recent market conditions.
When price approaches this boundary while structural strength weakens, the system flags reduced confidence in the existing bias.
This method differs from standard ATR bands because it compresses outlier volatility instead of amplifying it.
🔧 3. Momentum Velocity Engine (Smoothed ROC Filter)
The momentum module measures acceleration rather than raw momentum:
A smoothed Rate-of-Change curve evaluates whether price velocity is supporting or diverging from the current structure.
Deceleration near the volatility boundary is interpreted as potential instability.
No buy/sell signals are generated—momentum is used strictly for bias confidence filtering.
By focusing on velocity shifts instead of momentum direction alone, the system captures early structural weakening.
🔗 How the Components Interact
A directional bias is assigned only when:
Structure confirmation
Volatility normalization
Momentum velocity
are aligned in the same direction.
If any module diverges, MMBS defaults to a neutral (no-bias) state.
This behavior distinguishes it from single-module indicators that rely solely on trend, volatility, or momentum.
📊 Visual Output
Bias Color Bar — shows the dominant directional bias (bullish / bearish / neutral).
Volatility Boundary Line — reflects the normalized ATR range used for stability validation.
Momentum Markers — point to areas where velocity divergence may invalidate the bias.
These components are informational only and do not represent entry or exit signals.
⚙️ User-Adjustable Inputs
Structure Sensitivity — modifies how many pivot confirmations are required.
Volatility Scaling — adjusts ATR normalization strength.
Momentum Smoothing — controls responsiveness to short-term velocity changes.
🔒 Why the Script Is Invite-Only
The script uses custom structural logic, a custom-developed ATR normalization method, and a ROC-based velocity filter that differs from publicly available tools.
Invite-only access is maintained to ensure responsible use and preserve controlled distribution of the multi-factor bias-model framework.
The script does not rely on any publicly available template and integrates multiple independent computational layers, which justifies restricted visibility under TradingView’s policies.
CK: Locked Session H/L + Volume Profile (1m Fixed)The session roadmap every futures trader needs — without the clutter.
This tool automatically locks the previous session’s structure and gives you the five most important institutional levels:
✅ Locked Session High
✅ Locked Session Low
✅ Session POC (Point of Control)
✅ VAH – Value Area High
✅ VAL – Value Area Low
Everything is calculated using 1-minute data only, so your levels are accurate, consistent, and never repaint.
💡 What It Does
Tracks the entire session from the RTH close to the next RTH close.
Builds a volume-by-price profile for that session.
Automatically freezes the session’s:
Highest price
Lowest price
Most-traded price (POC)
70% value area (VAH/VAL)
Plots all levels as clean horizontal lines for today’s trading.
🚀 Why Traders Use This
These 5 levels control most algorithmic and institutional activity.
This indicator shows you exactly where price reacted yesterday, so you can:
Catch retests and bounces with confidence
Avoid trading in the middle of nowhere
Anticipate reversals, breakouts, and liquidity grabs
Build a consistent plan around the same fixed levels every day
