Multi-TimeFrame Multi-Indicator Dashboard🚀 Multi-Timeframe Multi-Indicator Market Structure Dashboard
🟢 Overview
The **Multi-Timeframe Multi-Indicator Dashboard** is an all-in-one market scanner designed to give traders an immediate, high-level view of an asset's trend across multiple layers of time. Instead of constantly flipping between charts or cluttering your workspace with dozens of indicators, this script compiles key moving averages, momentum oscillators, and volatility indicators into a single, highly readable table directly on your primary workspace.
This tool is optimized for **Equities, Forex, Crypto, Indices, and Commodities traders** who rely on multi-timeframe confluence to confirm high-probability trade setups and eliminate analysis paralysis.
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🛠️ Key Features
**Multi-Timeframe Confluence Matrix:** Instantly track market structure across 6 default timeframes: **5M, 15M, 1H, Daily, Weekly, and Monthly**.
**8 Integrated Technical Metrics:**
**Trend Identification:** SMA 9, SMA 20, SMA 50, SMA 100, and SMA 200.
**Momentum & Volatility:** Relative Strength Index (RSI 50-line crossover), MACD Histogram (bullish/bearish momentum shifts), and SuperTrend.
**Fully Customizable Layout:** Toggle specific timeframes or indicators on/off via the user inputs menu to perfectly match your trading style. You can also change the table position (e.g., top-right, bottom-left) and text size.
**Smart Alert Engine:** Configure the script to send real-time alerts the exact moment an indicator shifts states (Bullish $\leftrightarrow$ Bearish) on your primary timeframes.
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🎛️ Settings & Customization
1. **Dashboard Display:** Control the visibility, positioning anchor (top-right, bottom-right, top-left, bottom-left, middle-right, middle-left), and text scaling of the canvas table.
2. **Timeframes to Display:** Toggle individual columns to focus strictly on scalping or macro swing horizons.
3. **Indicators to Display:** Strip out unnecessary lines to match your personal strategy components.
4. **SuperTrend Settings:** Manually adjust the ATR Length and Multiplier inputs for tighter or wider trend bands.
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📝 Disclaimer
This indicator is built purely for analytical visualization and informational purposes. It does not constitute financial advice. Always practice strict risk management and combine dashboard confirmation with your own broader trading plan. Indicator
Indicator
Echelon Regime Gauge [JOAT]Echelon Regime Gauge
Introduction
The Echelon Regime Gauge is an open-source market regime detection and session awareness indicator built in Pine Script v6. It classifies the current market state into one of six regimes — Trend Up, Trend Down, Range, Volatile, Squeeze, or Mixed — using a combination of SMA alignment, VWAP slope analysis, and Bollinger Band volatility metrics. On top of regime detection, the indicator provides session identification (Asian, London, New York, Kill Zones, Power Hour), volatility state tracking (Expansion, Contraction, Squeeze), R-squared trend quality measurement, historical volatility percentile, Wyckoff effort/result analysis, and an institutional activity score that colors candles by multi-factor heatmap logic.
The core question this indicator answers is: "What kind of market am I in right now?" Knowing whether the market is trending, ranging, squeezing, or volatile changes everything about how you should trade — from entry type to stop placement to position sizing. This indicator provides that context in real-time with a confidence percentage and a comprehensive HUD dashboard.
Why This Indicator Exists
Most traders apply the same strategy regardless of market conditions. A breakout strategy in a ranging market produces whipsaws. A mean-reversion strategy in a trending market produces losses. This indicator solves the context problem by providing a clear, quantified regime classification:
Regime Detection: Six distinct market states, each requiring different trading approaches. The classification uses three independent inputs — SMA alignment, VWAP slope direction, and Bollinger Band percentile — to produce a robust, multi-factor regime reading.
Regime Confidence: A 0-100 score indicating how clearly the market fits the detected regime. High confidence means the classification is strong and reliable. Low confidence suggests transitional or ambiguous conditions.
Session Awareness: Identifies the current trading session (Asian, London, New York) and highlights Kill Zones (London 2-5am, NY 7-10am) and Power Hour (3-4pm) — the periods when institutional activity is highest and moves are most significant.
Volatility State: Tracks whether volatility is in Expansion, Contraction, Squeeze, or Normal state. Squeeze conditions (Bollinger width in the bottom 10th percentile) often precede explosive moves.
Trend Quality (R-Squared): Measures how linear and clean the current trend is on a 0-1 scale. R-squared above 0.6 indicates a clean, tradeable trend. Below 0.4 indicates choppy, random price action.
Institutional Activity Score: A multi-factor score (0-100) computed from body ratio, volume ratio, R-squared, Bollinger Band position, and VWAP distance. This score drives the candle heatmap coloring.
How Regime Detection Works
The regime engine combines three independent analytical dimensions:
Dimension 1 — SMA Alignment:
The indicator calculates three Simple Moving Averages (default 20, 50, 200). When all three are aligned in order (20 > 50 > 200), the market is in bull alignment. When reversed (20 < 50 < 200), bear alignment. Any other configuration is diverged/mixed.
Dimension 2 — VWAP Slope:
The VWAP (Volume Weighted Average Price) slope is calculated over a configurable lookback and normalized by ATR to make it comparable across instruments. A normalized slope above the threshold indicates upward momentum. Below the negative threshold indicates downward momentum. Within the threshold band indicates flat/ranging conditions.
Dimension 3 — Volatility Percentile:
Bollinger Band width percentile rank over 120 bars determines volatility state. Below the 10th percentile is a squeeze. Above the configurable expansion percentile (default 75th) is expansion. ATR percentile rank provides a secondary volatility measure.
These three dimensions combine into the regime classification:
Squeeze: BB width in bottom 10th percentile — volatility compression, potential breakout imminent
Trend Up: Bull SMA alignment AND positive VWAP slope — clear directional momentum upward
Trend Down: Bear SMA alignment AND negative VWAP slope — clear directional momentum downward
Volatile: ATR in expansion percentile WITHOUT SMA alignment — high volatility but no clear trend direction
Range: Flat VWAP slope WITHOUT SMA alignment — sideways, mean-reverting conditions
Mixed: Conditions do not clearly fit any category — transitional state
Regime Confidence Calculation
Each regime has its own confidence formula based on how strongly the inputs support the classification:
Trend Up/Down: SMA alignment (40pts) + slope direction (30pts) + slope magnitude (up to 30pts)
Range: Flat slope (40pts) + no alignment (30pts) + low ATR percentile (up to 30pts)
Squeeze: Low BB percentile (70%) + low ATR percentile (30%)
Volatile: High ATR percentile (70%) + high BB percentile (30%)
Mixed: Fixed at 25 — low confidence by definition
The confidence is displayed as both a number and a visual bar (||||......) in the HUD, making it easy to assess at a glance.
Session and Time-of-Day Analysis
The indicator identifies seven session states with configurable timezone (default America/New_York):
Asia (7pm-3am): Low volatility, range-building session. Quality: Low.
London (3am-9:30am): Increasing volatility, often sets the day's direction. Quality: Medium.
London Kill Zone (2-5am): Peak London institutional activity. Quality: High.
New York (9:30am-4pm): Highest volume session for US instruments. Quality: Medium.
NY Kill Zone (7-10am): Peak NY institutional activity, overlap with London. Quality: High.
Lunch (10am-12pm): Low conviction, choppy price action. Quality: Low.
Power Hour (3-4pm): End-of-day positioning, often produces strong moves. Quality: High.
Kill Zones are highlighted with a subtle gold background tint. Lunch hours receive a dark tint as a visual warning of low-quality conditions.
Institutional Signal System
The indicator detects and labels six types of institutional events using a priority-based system with cooldowns to prevent label stacking:
P1 — BULL/BEAR CONFLUENCE (highest priority): Full alignment of SMA, VWAP slope, R-squared trend quality, regime confidence > 70, and price vs VWAP. This is the strongest possible directional signal — all factors agree.
P2 — MAJOR GOLDEN/DEATH CROSS: Mid SMA (50) crosses the Slow SMA (200). These are rare, high-impact structural events that signal major trend shifts.
P2b — GOLDEN X / DEATH X: Fast SMA (20) crosses Mid SMA (50). More frequent than major crosses but still significant structural events.
P3 — REGIME CHANGE: The regime classification changes from one state to another. Labels show the new regime name.
P4 — SQZ BREAK: Squeeze releases into expansion with price above (bull) or below (bear) the fast SMA. These are high-energy breakout events.
P5 — VWAP RECLAIM/REJECT: Price crosses above VWAP with positive slope (reclaim) or below with negative slope (rejection). VWAP is the institutional benchmark — reclaiming or losing it is significant.
P6 — DISP (Displacement, lowest priority): Large-body candles (body > 70% of range, body > 2x average) indicating aggressive institutional order flow.
Each signal checks a cooldown counter before firing. Higher-priority signals suppress lower-priority ones within the cooldown window, ensuring the chart shows only the most important signal at any given time.
Candle Heatmap Coloring
When enabled, candles are colored based on the current regime and trend quality rather than simple bull/bear direction:
Bull Aligned + Clean Trend: Bright aurora lime (bullish candles) / aurora green (bearish candles)
Bull Aligned: Aurora green / aurora teal
Bear Aligned + Clean Trend: Aurora pink / aurora purple
Bear Aligned: Aurora purple / aurora pink
Squeeze: Aurora gold / warm orange
Neutral: Ice blue / arctic blue
This coloring scheme makes it immediately obvious what regime the market is in without looking at the HUD — the entire chart changes character with the regime.
Advanced Metrics
R-Squared Trend Quality: Calculated as the square of the correlation between close price and bar_index over a configurable period. Values above 0.7 indicate a clean, linear trend. Values below 0.4 indicate choppy, non-directional price action. This metric helps distinguish between trending markets that are tradeable and trending markets that are too choppy to trade reliably.
Historical Volatility: Annualized standard deviation of log returns, displayed as a percentage with percentile ranking over 252 bars. This provides a longer-term volatility context beyond the Bollinger-based squeeze detection.
Wyckoff Effort/Result: Volume divided by range — when this ratio is high (high volume, small range), institutional absorption is occurring. The indicator detects these events and displays them in the HUD.
Regime Duration: Counts how many bars the current regime has persisted. Long-duration regimes are more established. Short-duration regimes may be transitional.
Institutional Score: A 0-100 composite from body ratio, volume ratio, R-squared, BB position extremes, and VWAP distance. Higher scores indicate more institutional-quality price action.
HUD Dashboard
The HUD displays 12 metrics with color-coded values:
Regime State with regime-specific color
Confidence score with visual bar (||||......)
VWAP Slope direction (Rising/Falling/Flat)
Volatility state with squeeze duration counter
Current Session name
Session Quality rating (High/Medium/Low)
SMA Alignment (Bull Aligned/Bear Aligned/Diverged)
R-Squared trend quality (Clean/Moderate/Choppy)
Historical Volatility with percentile classification
Regime Duration in bars
Institutional Activity Score
Input Parameters
Regime Detection:
Fast/Mid/Slow SMA: Moving average periods (default: 20/50/200)
VWAP Slope Lookback: Period for slope calculation (default: 20)
Slope Threshold: Normalized slope threshold for trend detection (default: 0.12)
Volatility:
ATR Length: Period for ATR calculation (default: 14)
Bollinger Length/Multiplier: BB parameters (default: 20/2.0)
Squeeze Lookback: Percentile rank period (default: 120)
Expansion Percentile: ATR percentile threshold for expansion (default: 75)
Sessions:
Show Session Zones: Toggle session background highlighting
Timezone: Configurable timezone (default: America/New_York)
Highlight Kill Zones: Toggle kill zone emphasis
Visual:
Regime Background: Toggle regime-adaptive background tinting
SMA Trend Ribbon: Toggle ribbon fill between fast and mid SMA
Candle Heatmap Coloring: Toggle institutional activity-based candle colors
Show Prior Day H/L: Toggle PDH/PDL reference lines
HUD Panel: Toggle with configurable position
How to Use This Indicator
Step 1: Check the Regime
Before entering any trade, check what regime the market is in. Trend Up/Down = directional strategies. Range = mean-reversion. Squeeze = wait for breakout. Volatile = reduce size or stand aside.
Step 2: Verify Confidence
A regime reading with 80+ confidence is reliable. Below 50 suggests the market is in transition — be cautious.
Step 3: Check the Session
Kill Zones and Power Hour produce the most reliable moves. Lunch hour and Asian session moves are less reliable for most instruments.
Step 4: Watch for Signals
BULL/BEAR CONFLUENCE is the highest-conviction signal — all factors agree. SQZ BREAK signals high-energy breakouts. VWAP RECLAIM/REJECT provides key level context.
Step 5: Use Trend Quality for Filtering
R-squared above 0.6 means the trend is clean and tradeable. Below 0.4 means the trend is choppy — consider waiting for cleaner conditions.
Best Practices
The regime classification is most reliable on timeframes of 5 minutes and above
Session features are most relevant for instruments with clear session structures (equities, futures, major forex)
Squeeze conditions can persist for extended periods. Do not assume a squeeze will break immediately.
Regime transitions (Mixed state) are the most dangerous periods. Consider reducing exposure during transitions.
The institutional score is a heuristic — use it as one input among many, not as a standalone signal
SMA crosses are lagging by nature. They confirm trend changes rather than predict them.
Combine this indicator with structure or momentum tools for entry timing — this indicator provides context, not entries.
Limitations
Regime detection uses lagging indicators (SMAs, BB percentile). Regime changes are confirmed after they occur, not predicted in advance.
The six-regime classification is a simplification. Real markets exist on a continuum, not in discrete states.
Session times are hardcoded for EST timezone sessions. Instruments traded primarily in other timezones may need different session definitions.
R-squared measures linearity, not direction. A perfectly linear downtrend has the same R-squared as a perfectly linear uptrend.
The institutional activity score is estimated from available data (body ratio, volume, BB position). True institutional activity detection requires order flow data not available in Pine Script.
VWAP resets daily on most instruments. Intraday VWAP slope is most meaningful for day trading timeframes.
Kill Zone highlighting assumes EST-based session times. Adjust the timezone input for your local market.
Technical Implementation
Built with Pine Script v6 using:
Three-dimensional regime classification (SMA alignment + VWAP slope + BB volatility)
Regime confidence scoring with per-regime formulas
Session detection using time() with configurable timezone
R-squared trend quality via ta.correlation()
Annualized historical volatility with percentile ranking
Wyckoff effort/result absorption detection
Multi-factor institutional activity scoring
Priority-based signal system with 6 tiers and cooldown anti-overlap
Volatility-adaptive gradient background coloring
Aurora-themed SMA ribbon with alignment-responsive colors
10 alert conditions covering regime changes, SMA crosses, absorption, and clean trend detection
Originality Statement
This indicator is original in its comprehensive regime detection and session awareness integration. While SMA alignment and Bollinger squeeze are established concepts, this indicator is justified because:
The three-dimensional regime classification (SMA + VWAP slope + BB volatility) produces a more robust state detection than any single method
Regime confidence scoring quantifies how clearly the market fits the detected state, providing actionable uncertainty information
Session awareness with quality ratings integrates time-of-day context directly into the regime framework
R-squared trend quality measurement distinguishes between clean tradeable trends and choppy non-directional trends
The priority-based signal system with 6 tiers ensures only the most important events are displayed
Candle heatmap coloring driven by regime and trend quality provides immediate visual context
The Aurora Borealis theme with volatility-adaptive background creates a dynamic visual environment that changes character with market conditions
Squeeze duration tracking and regime duration counting provide temporal context for current conditions
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Regime detection classifies current market conditions based on historical data — it does not predict future regime changes. Markets can transition between regimes without warning. Squeeze conditions do not guarantee breakouts. Session quality ratings are generalizations that may not apply to all instruments or market conditions. Past regime patterns do not guarantee future behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator.
-Made by officialjackofalltrades
Indicator
Support Band of TrendSupport Band of Trend
by MasterTony
**Support Band with Dynamic Ichimoku Boundaries**
This indicator combines three layered tools into a single clean overlay: a trend-adaptive support/resistance band using golden moving averages, dynamic Ichimoku Tenkan/Kijun boundaries, and price pivot S/R levels. Together they define a structured zone where price is expected to find support in bull trends and resistance in bear trends.
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**How It's Calculated**
**Trend Direction (ADX + 200 SMA)**
The indicator continuously reads market direction using two inputs. The DMI system compares DI+ against DI− to determine which side has directional dominance. The 200-period SMA acts as a tiebreaker when DI+ and DI− are equal. There is no neutral state — the indicator always commits to bull or bear based on whichever side is dominant at that moment.
**Inner Support Band (SMA 20 / EMA 21)**
The core of the indicator is a filled zone between the 20-period Simple Moving Average and the 21-period Exponential Moving Average. Because the SMA and EMA are nearly identical in length but calculated differently, the fill between them defines a tight dynamic zone that price frequently interacts with. In a bull trend the band is green, acting as a floor. In a bear trend it turns red, acting as a ceiling.
**Outer Boundary (Tenkan-Sen / Kijun-Sen Band)**
Wrapping the inner band is a filled zone between the Tenkan-Sen and Kijun-Sen, ported from a full adaptive Ichimoku engine. Both lines use dynamic lengths driven by a volume oscillator (OBV), ATR volatility, and a Chikou trend filter. When conditions are bullish the lengths compress toward their minimums (9 and 20), making the lines react faster. When conditions are bearish the lengths expand toward their maximums (30 and 60), making them slower and more resistant. The Tenkan and Kijun lines themselves are colored teal when Tenkan is above Kijun and purple when below. The filled zone between them matches the overall bull/bear color of the indicator.
**Price Pivot S/R Lines**
The indicator identifies the last three swing highs and swing lows using a 5-bar left/5-bar right pivot calculation. Each level is drawn as a horizontal dashed line extended to the right — red for resistance, green for support. These are static reference points showing where price has previously reversed.
**200 SMA**
Plotted as a light blue reference line. Used internally for trend bias and visually as the macro trend anchor.
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**How to Read It**
The indicator is designed to be read as a layered zone, not a single line.
When the bands are **green**, the entire filled area from the outer TK boundary down to the inner SMA/EMA band is a **support zone**. Price pulling back into this zone during an uptrend is expected behavior. The tighter the band compression, the stronger the trend.
When the bands are **red**, the same zone becomes **resistance**. Price rallying back up into it during a downtrend is a selling opportunity. A failure to break above the zone confirms bearish continuation.
The **Tenkan/Kijun color** gives you a secondary read. Teal means the fast line is above the slow line — momentum is bullish within the Ichimoku framework. Purple means the fast line has crossed below — momentum has shifted bearish. When the band color and the TK color agree, the signal is stronger.
The **pivot S/R lines** give you price memory. A green pivot level sitting just below the band in a bull trend creates a confluence support cluster. A red pivot level just above the band in a bear trend creates a confluence resistance cluster.
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**How to Trade With It**
**Bull Trend Pullback Entry**
Wait for the band to be green. Let price pull back into the inner SMA/EMA band or the wider TK zone. Look for a candle reversal or momentum shift back upward while inside the zone. Enter long with a stop below the outer TK boundary. The nearest green pivot S/R line below acts as your invalidation level.
**Bear Trend Rally Entry**
Wait for the band to be red. Let price rally back up into the inner band or TK zone. Look for rejection or a momentum shift downward while inside the zone. Enter short with a stop above the outer TK boundary. The nearest red pivot S/R line above acts as your invalidation level.
**Trend Change Warning**
When the band flips from green to red or red to green, it signals a shift in directional dominance. This is not an immediate entry signal — it is a warning to stop trading in the previous direction and wait for the new color to confirm with a pullback setup.
**Confluence Filter**
The highest probability setups occur when all three layers agree: the band color matches the trade direction, the Tenkan is above Kijun (for longs) or below (for shorts), and a pivot S/R level is nearby providing additional structure.
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Indicator
Indicator
Simple Line📌 Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
⚙️ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
📈 Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
📉 Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
🧪 Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
🔒 Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend.
초대 전용 스크립트
이 스크립트에 대한 접근이 제한되어 있습니다. 사용자는 즐겨찾기에 추가할 수 있지만 사용하려면 사용자의 권한이 필요합니다. 연락처 정보를 포함하여 액세스 요청에 대한 명확한 지침을 제공해 주세요.
이 비공개 초대 전용 스크립트는 스크립트 모더레이터의 검토를 거치지 않았으며, 하우스 룰 준수 여부는 확인되지 않았습니다. 트레이딩뷰는 스크립트의 작동 방식을 충분히 이해하고 작성자를 완전히 신뢰하지 않는 이상, 해당 스크립트에 비용을 지불하거나 사용하는 것을 권장하지 않습니다. 커뮤니티 스크립트에서 무료 오픈소스 대안을 찾아보실 수도 있습니다.
작성자 지시 사항
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c9indicator
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니 Indicator
Indicator
Smart Money Index + True Strength IndexThe Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes.
Main Components:
Smart Money Index (SMI):
The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend.
True Strength Index (TSI):
The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction.
Parameters:
SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14.
SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0.
Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25.
Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13.
TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25.
Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25.
Logic of operation:
SMI calculation:
First, the difference between the closing and opening price of each candle (close - open) is calculated.
This difference is then multiplied by the trading volume.
The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength).
Calculation of TSI:
The price change relative to the previous bar is calculated (close - close ).
The first EMA with the length tsiLength1 is applied.
Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value.
The absolute value of price changes is calculated in the same way, and two emas are also applied.
The final TSI index is calculated as the ratio of these two values multiplied by 100.
Graphical representation:
The SMI and TSI lines are plotted on the graph along with their respective thresholds.
For SMI, the line is drawn in orange, and the threshold level is dotted in gray.
For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively.
Conditions for buy/sell signals:
A buy (long) signal is generated when:
SMI is greater than the threshold (smi > smiThreshold)
TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)).
A sell (short) signal is generated when:
SMI is less than the threshold (smi < smiThreshold)
TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)).
Signal display:
When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart.
The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red.
Notification generation:
The indicator also supports notifications via the PulseWire platform. Notifications are sent when conditions arise for a long or short position.
This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.
Indicator
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
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