Trade Wzrd - Session Open Strategy ShellTrade Wzrd - Session Open Strategy Shell
WHAT IT IS
Educational strategy shell that only allows new entries while price is inside a user-defined session window. Optional modes: break of the developing session high/low, or a simple MA cross for baseline testing. Orders carry webhook-ready alert_message strings built through a shared open-source string library.
This is a template for learning session-filtered automation wiring. It is not a signal service.
WHY IT EXISTS (ORIGINALITY)
Many public strategies fire all day. Prop and desk workflows usually care about a session (for example cash open or London/NY window) and need clean entry/exit alert text for external execution. This script combines:
1) a session gate
2) optional session-range break entries
3) ATR or fixed risk exits with R-multiple targets
4) structured alert_message strings for BUY/SELL and CLOSE
HOW IT WORKS
1) Session input defines when entries are allowed (chart/exchange timezone rules apply as on PulseWire).
2) While in session, the script tracks session high and low.
3) Entry mode A: break above session high or below session low.
4) Entry mode B: EMA cross (for simple tests when break mode is off).
5) Optional max one entry per session day.
6) Stop distance uses ATR multiplier or a fixed distance; take-profit uses risk:reward.
7) alert_message values use comma-separated command text (BUY/SELL with VOL or RISK, SL, TP, TPSLTYPE; CLOSE on exits).
HOW TO USE
1) Add to a clean chart (defaults intended for liquid FX/metals such as XAUUSD).
2) Set the session window to the hours you actually trade.
3) Choose break mode or MA mode under Entry logic.
4) Set Trade Wzrd Automation size mode (VOL or RISK), size value, and TPSLTYPE.
5) Create a strategy alert; set the message to:
{{strategy.order.alert_message}}
6) Point the alert webhook field at whatever endpoint you already use.
7) Use Symbol override when your broker symbol differs from the chart ticker.
DEFAULTS
- Commission and slippage are set in strategy properties for more realistic tests
- Position sizing default is percent of equity for the strategy tester (separate from alert VOL/RISK text)
- Magic default example tag is provided and can be cleared
LIMITATIONS
- Session range break is a simple educational structure, not a complete prop system
- Past results do not predict future results
- Not intended for buy/sell use on non-standard chart types
- You own risk, symbol mapping, and execution choices
No external links are required to understand or use this script.
Strategy
Next Candle Predictor V4.1## Next Candle Predictor V4.1 — Terminology and Presentation Update
This update improves the clarity of the indicator's terminology and on-chart presentation while preserving its existing calculation framework, weighting structure, visual layout, and signal conditions.
### Changes
- Renamed displayed “Prediction” values to “Directional Score”.
- Replaced “Perfect Time” with “Strong Setup”.
- Renamed the volume-derived component to “Estimated Volume Pressure”.
- Renamed projection visuals to “Directional Scenario Candles”.
- Updated dashboard labels and alert messages for clearer interpretation.
- Removed performance-target wording.
- Added author attribution: Developed by Ceyhun C. Canbazoglu.
### Score Interpretation
The displayed long and short percentages are normalized directional confluence scores derived from the indicator’s rule-based components.
They are not statistical probabilities, expected win rates, guarantees, or forecasts of the next candle’s result.
### Estimated Volume Pressure
Estimated Volume Pressure uses OHLCV data and the closing price’s position within the candle range to estimate directional pressure.
It is not exchange-level bid/ask volume delta or actual aggressive buying and selling volume.
### Directional Scenario Candles
The optional scenario candles are volatility-scaled visualizations based on the indicator’s current directional scores.
They do not forecast the next candle’s exact open, high, low, close, direction, or price target.
### Core Framework
The existing multi-factor framework remains unchanged and continues to evaluate:
- trend direction,
- EMA alignment,
- MACD momentum,
- RSI position,
- Stochastic conditions,
- ADX trend strength,
- relative volume,
- estimated volume pressure,
- and volatility regime.
This indicator is intended as a technical-analysis and decision-support tool. It does not provide financial advice or guarantee trading results. Indicator
Dynamic Market Metrics [MarkitTick]💡 All-in-one market analysis suite designed to unify trend evaluation, momentum measurement, and dynamic risk management into a single, cohesive interface. Rather than relying on a scattered array of disparate indicators, this unified system synthesizes multiple dimensions of market data—including volatility, money flow, and higher-timeframe confluence—to provide a comprehensive structural overview of the current asset. It visually maps trend direction, plots actionable trade risk levels, and features a real-time heads-up display (HUD) dashboard to track critical market internals without cluttering the charting workspace.
● Overview
✨ Originality and Utility
Traditional technical analysis often forces traders to compromise between lagging trend followers and noisy momentum oscillators. This script solves that divergence by integrating an adaptive trend baseline with volume-weighted momentum constraints. It is unique in its ability to automatically map forward-looking risk-to-reward brackets the moment a structural shift is confirmed. Instead of guessing where to place stops and targets, the system calculates these thresholds dynamically based on real-time volatility, offering a strictly objective framework for trade management. This eliminates the need for messy chart mashups, replacing them with a highly organized, singular logic engine.
🔬 Methodology and Concepts
The core engine of this tool operates on an abstracted synthesis of price volatility and money flow dynamics.
The primary trend anchor is established by evaluating average true price ranges against the flow of capital entering or exiting the asset.
Rather than relying on simple price crosses, the baseline only shifts when confirmed by underlying volume and momentum pressures.
A specialized breakout override mechanism constantly monitors for abnormal momentum spikes. If a sudden surge in directional velocity exceeds the baseline volatility threshold, the system immediately recalculates the trend state to adapt to the new market structure.
Trade levels are generated using a dynamic risk parity model. The system measures the precise distance between the confirmed entry trigger and the structural invalidation point, projecting synchronized target tiers that maintain strict mathematical risk-to-reward ratios.
All higher-timeframe data integration is strictly coded using offset historical referencing, ensuring absolute data integrity and preventing any future leakage or repainting artifacts.
🎨 Visual Guide
The script utilizes a clean, professional aesthetic, heavily reliant on dynamic colors and structured dashboard elements.
• The Trend Anchor and Cloud
Trend Line: A distinct, segmented line that tracks the primary market direction. It colors dynamically based on the active state (Bullish, Bearish, or Neutral).
Dynamic Cloud: A semi-transparent filled area bridging the primary trend line and a smoothed reference baseline. The thickness of this cloud visually represents the immediate strength and momentum of the trend.
Candle Coloring: Chart candles are painted to match the active trend state, providing instant visual alignment with the underlying engine.
• Trade Levels and Signals
Signal Markers: Minimalist labels appear above or below the price action to indicate confirmed structural shifts.
Stop Loss (SL) Line: A solid line representing the exact invalidation point of the active trend.
Entry Line: A dashed line marking the exact price where the signal was confirmed.
Take Profit (TP) Lines: A series of three dashed lines representing incremental target zones.
Risk/Reward Fills: Shaded background zones visually map the risk area (Entry to SL) against the reward area (Entry to TP3), allowing for immediate visual risk assessment.
• The HUD Dashboard
Located in the top right corner, this data table provides a real-time read of market internals:
Trend State & HTF Context: Displays the current directional bias on both the local and higher timeframes.
Entry, Target, and SL: Prints the exact numerical values for the active trade parameters.
Momentum & Money Flow: Visual progress bars indicating the current intensity of price movement and capital flow.
Volatility: Indicates whether the market is currently in a state of expansion or contraction.
Trend Age: A counter showing exactly how many bars have elapsed since the current trend began.
📖 How to Use
The system is designed to be highly objective. Monitor the chart for a confirmed signal marker, which indicates a shift in the underlying structural trend. Once a signal fires, the script will automatically render the Entry, Stop Loss, and Take Profit levels.
Validation: Before considering the signal, check the HUD Dashboard. A high Momentum score and an aligned Higher Timeframe (HTF) Context significantly increase the probability of continuation.
Execution: Use the exact printed Entry line for placement. The Stop Loss line dictates the hard invalidation point where the premise of the trend is broken.
Management: As price moves in the anticipated direction, manage the position by scaling out or moving protective stops as the asset crosses the TP1, TP2, and TP3 thresholds.
Breakouts: If a sudden momentum burst triggers an override, the trend state will flip immediately. Treat these as aggressive volatility expansions that require tighter risk management.
⚙️ Inputs and Settings
The settings panel is modularized for precise user control:
• Core & Breakout
ATR Mult & Length: Adjusts the core sensitivity of the volatility engine. Lower values create a tighter, more reactive baseline.
BO Override & Sens: Toggles the momentum breakout detection and dictates how much abnormal velocity is required to override the primary trend.
• Higher Timeframe (HTF)
Show HTF & TF: Enables the integration of a secondary, longer-term timeframe to act as a directional filter.
• Trade Tools & Cloud
Show Trade Levels: Toggles the rendering of the dynamic Entry, SL, and TP lines.
Cloud Settings: Controls the length, transparency, and rendering of the visual trend cloud and candle coloring.
• Alerts & Colors
JSON Action Strings: Allows users to input custom formatted strings for Long, Short, and Close actions, perfectly integrating with automated third-party execution platforms.
Colors: Fully customizable palettes for all lines, fills, dashboards, and signal markers.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The architectural foundation of this system rests on auction market theory and the statistical properties of volatility clustering. Financial markets operate through continuous auctions where price discovery is driven by the aggressive absorption of resting liquidity. This engine abstracts that process by measuring the standard deviation of price excursions—quantifying the asset's true range—and mapping it against the directional flow of capital.
By analyzing the divergence between pure price action and volume-weighted accumulation, the system identifies the true mean of value. When price deviates beyond these statistical bounds accompanied by extreme momentum, it signals a structural paradigm shift rather than a standard mean-reversion event. Furthermore, the embedded risk parity model abandons static numerical thresholds in favor of dynamic proportional scaling. The reward brackets are continuously mathematically linked to the localized volatility of the anchor point, ensuring that the risk-to-reward distribution remains statistically constant regardless of the asset's current expansion or contraction phase.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Volatility Squeeze Scanner MTF [StrixEDGE]Overview
A multi-timeframe volatility squeeze detector that identifies when Bollinger Bands contract inside Keltner Channels across four configurable timeframes simultaneously. The indicator combines squeeze state detection with a LazyBear-method momentum oscillator and a real-time consensus engine, giving traders a structured view of cross-timeframe compression without switching charts.
Volatility squeezes represent periods of contracting price action — energy building before a directional move. Detecting them on a single timeframe is common. Detecting them across multiple timeframes at once isolates the higher-probability setups where compression is structural, not noise.
How It Works
Squeeze Detection
A squeeze fires when the Bollinger Bands (SMA ± standard deviation) fully contract inside the Keltner Channel (SMA ± ATR). This means the upper Bollinger Band is below the upper Keltner Channel AND the lower Bollinger Band is above the lower Keltner Channel. When both conditions hold, volatility has compressed below its average range — the market is coiling.
Bull BIAS
Bear BIAS
Momentum Oscillator (LazyBear Method)
The momentum histogram is calculated as the linear regression of the difference between price and the average of the Donchian Channel midline and SMA. This produces a zero-centered oscillator that reveals both the direction and acceleration of momentum inside the squeeze.
The histogram uses a four-tone color scheme:
- Bright green — bullish momentum, accelerating
- Dark green — bullish momentum, decelerating
- Bright red — bearish momentum, accelerating
- Dark red — bearish momentum, decelerating
Squeeze-State Dots
Dots on the zero line change color based on the current chart timeframe's squeeze state:
- Orange dot — squeeze is active (BB inside KC)
- Teal dot — no squeeze (BB outside KC)
The transition from orange to teal marks the moment the squeeze fires — volatility is expanding and the move is underway.
Multi-Timeframe Consensus
The indicator runs the squeeze calculation independently on four user-defined timeframes via `request.security()`. A consensus table displays each timeframe's squeeze state, momentum direction, momentum acceleration, and squeeze duration in real time.
Consensus is reached when the number of timeframes simultaneously in squeeze meets or exceeds the user-defined threshold (default: 3 out of 4). The background subtly highlights when consensus is active, with a brighter flash on the bar where consensus is first reached.
How to Read It
Entry context:
Wait for the consensus row to show 3/4 or 4/4 CONSENSUS — this confirms compression is happening across the timeframe stack, not just locally. The higher the consensus count, the more significant the potential expansion.
Directional bias:
The MOM and DIR columns across timeframes reveal whether momentum is aligned. When most timeframes show BULL + ▲, the bias favors long. When most show BEAR + ▼, the bias favors short. Mixed readings suggest no clear directional edge — patience is warranted.
Timing the release:
Watch the zero-line dots on the current chart timeframe. When the dot transitions from orange (squeeze active) to teal (squeeze released), the coil is unwinding. The histogram's color and direction at that moment indicate the likely direction of the expansion.
Duration as context:
The DUR column shows how many bars each timeframe has been in squeeze. Longer durations generally correspond to larger eventual moves. A fresh squeeze (DUR = 1–3) may still be forming. An extended squeeze (DUR = 15+) is deeply compressed and more likely to produce a significant breakout.
Inputs
Bollinger Bands
- Length — lookback period for the SMA and standard deviation (default: 20)
- Multiplier — standard deviation multiplier for band width (default: 2.0)
Keltner Channel
- Length — lookback period for the SMA and ATR (default: 20)
- Multiplier — ATR multiplier for channel width (default: 1.5)
Timeframes
- Four independently configurable timeframes (default: 5m, 15m, 1H, 4H)
- Choose timeframes that create meaningful structure for your trading style
Consensus
- Minimum TF Consensus — how many timeframes must be in squeeze simultaneously to trigger consensus (2, 3, or 4; default: 3)
Momentum
- Momentum Source — price source for all calculations (Close, Open, High, Low, HL2, HLC3, OHLC4)
Alerts
5 alert conditions are available:
- Squeeze Consensus Reached — fires when the minimum TF consensus threshold is first met
- Squeeze Consensus Broken — fires when consensus drops below the threshold
- Consensus + Bullish Bias — consensus active with 3+ timeframes showing positive momentum
- Consensus + Bearish Bias — consensus active with 3+ timeframes showing negative momentum
- Full 4/4 Squeeze — all four timeframes in simultaneous squeeze
Indicator
Indexed MACD OscillatorIndexed MACD Oscillator — A normalized version of the standard MACD histogram, rescaled to always oscillate between 0 and 100 (rather than fluctuating in raw price-difference units, which vary a lot by symbol/timeframe). It calculates the standard MACD (12/26 EMA) and signal line (9-period EMA of MACD), takes the histogram (MACD − Signal), then min-max normalizes it using the highest and lowest histogram values over the trailing 100 bars. The result: 0 represents the most bearish momentum reading in the lookback window, 100 represents the most bullish, and the two gray reference lines mark those bounds.
This effectively turns MACD histogram into an oscillator similar in spirit to Stochastic or RSI — useful for comparing momentum extremes across different symbols on a consistent 0–100 scale, since raw MACD histogram values aren't comparable between, say, a $30 stock and a $3,000 stock.
One thing worth flagging for the description/documentation: since the normalization uses a rolling 100-bar high/low, the 0 and 100 levels are relative to recent history, not fixed absolute thresholds — a reading of 100 today doesn't necessarily mean the same momentum strength as a 100 from three months ago, since the window is constantly sliding. Might be worth a line in the description clarifying that it's a relative momentum extremity measure, not an absolute one, so users don't misread it like a fixed RSI-style overbought/oversold level. Indicator
Pymander's EZ Momentum Matrix**Pymander’s EZ Momentum Matrix** is a responsive momentum oscillator designed to help traders measure directional strength, identify potential momentum shifts, and confirm whether price is moving with or against the broader trend.
The main oscillator compares fast and slow price movement, adjusts the result for current market volatility, and smooths the output into an easy-to-read wave. When the oscillator is rising, bullish momentum is strengthening. When it is falling, bearish momentum is gaining control.
The indicator also includes a separate **Trend Matrix** that analyzes momentum, price position, and trend structure using a series of double-smoothed moving averages. This helps distinguish strong directional movement from weaker or neutral market conditions.
Key features include:
* Rising and falling momentum visualization
* Overbought and oversold reference zones
* Bullish and bearish extreme-turn signals
* Trend Matrix showing bullish, bearish, or neutral conditions
* Confluence signals when oscillator momentum aligns with the broader trend
* Optional glow and gradient-fill effects
* Adjustable sensitivity, speed, smoothing, and trend settings
* Alerts for confluence and extreme momentum turns
Diamond signals appear when momentum direction and the Trend Matrix become aligned. Circle signals identify potential turns from overbought or oversold conditions.
What sets EZ Momentum Matrix apart from a traditional oscillator is that it does not rely on momentum alone. It combines momentum strength, momentum direction, trend confirmation, and price location into one clear visual tool. This can help traders confirm entries, avoid fighting strong trends, recognize weakening momentum, and better understand who currently has control of the market.
As with any indicator, use EZ Momentum Matrix alongside proper risk management, market structure, and a tested trading plan. No indicator can guarantee profitable results.
Best of luck with your trading. Stay patient, remain disciplined, and protect your capital.
— **Pymander**
Indicator
KST Cross SwitchThe Know Sure Thing (KST) oscillator is a powerful momentum indicator, but its constantly fluctuating lines can sometimes make it difficult to determine the definitive market state at a glance.
This script transforms the traditional KST indicator into a clean, 3-stage State Machine tracker. Instead of staring at curved lines, this indicator locks the current market condition into three absolute levels: 100 for Bullish, 0 for Bearish, and 50 for Neutral.
When a strong bullish crossover occurs, the indicator locks to 100 with a lime green background. When a bearish crossunder happens, it locks to 0 with a maroon red background.
The core feature of this script is the Neutral Zone Threshold. In choppy or consolidating markets, KST lines often cross back and forth repeatedly, causing false signals. To solve this, the script checks the absolute distance between the KST line and the Signal line. If they are too close and moving sideways within your defined threshold, the indicator automatically resets to 50 with a neutral yellow/grey background. This helps you avoid overtrading during low-volatility squeeze periods.
You can fully customize the four different Rate of Change (ROC) lengths and their moving averages, as well as the signal line length. The Neutral Zone Threshold can also be finely tuned depending on the asset and timeframe you are trading. Indicator
EGADE Research-Based RSI Threshold ConfigurationEGADE Research-Based RSI Threshold Configuration is an empirical RSI decision-support indicator based on the findings of research by Hatem Mabrouk , Federico Trigos , and Francisco Valderrey , Tecnologico de Monterrey, EGADE Business School, Mexico
The underlying study systematically evaluated nine RSI threshold configurations across nine major cryptocurrencies and the S&P 500 using weekly RSI(14) data. The findings challenge the conventional assumption that the standard 30/70 configuration is universally optimal and identify asset-specific dominant threshold configurations based on win rate, geometric weekly return, and average holding period.
This indicator operationalizes those empirical findings directly within PulseWire. For assets included in the study, it automatically displays the research-based RSI threshold configuration identified by the empirical analysis.
The indicator provides three display modes:
• Research-Based: Displays the empirically identified threshold configuration for the selected asset.
• Conventional 30/70: Displays the traditional RSI 30/70 configuration.
• Compare Both: Displays the research-based and conventional configurations simultaneously for direct comparison.
The indicator uses weekly RSI(14) regardless of the chart timeframe and provides visual entry and exit zones, threshold-entry markers, alerts, and an information dashboard.
Assets currently supported by the empirical research: BTC, ETH, ADA, AVAX, BNB, DOGE, SOL, TRX, XRP, and the S&P 500.
Disclaimer: The findings and information presented through this indicator are intended exclusively for academic, research, educational, and decision-support purposes. Nothing contained in the underlying study or this indicator constitutes financial or investment advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Historical empirical performance does not guarantee future results. Users should conduct their own analysis and exercise independent judgment when making financial or investment decisions. Indicator
EMA Ribbon Trend Filter [StrixEDGE]EMA Ribbon Trend Filter is a multi-layered trend analysis system built around a triple EMA ribbon (8/21/55) enhanced with squeeze detection, a composite momentum score, multi-timeframe confluence, and dynamic slope-adaptive coloring.
This is not another moving average overlay. It is a full trend diagnostics dashboard designed to answer five questions at a glance: what is the trend, how strong is it, how long has it been running, is the ribbon compressing toward a breakout, and do higher timeframes agree.
🔹 CORE CONCEPT
Three exponential moving averages — fast (8), mid (21), and slow (55) — form a visual ribbon on the chart. When the EMAs stack in order (fast > mid > slow), the trend is bullish. When they invert, the trend is bearish. Anything else is a transitional state labeled neutral.
The ribbon is more than directional. The distance between the fastest and slowest EMA (the "spread") measures trend strength as a percentage, and the rate at which the ribbon expands or contracts reveals momentum shifts before price confirms them.
🔹 WHAT MAKES THIS DIFFERENT
Most EMA ribbons stop at direction and color. This indicator adds four analytical layers that standard ribbons lack:
▸ Ribbon Squeeze Detection
The indicator continuously measures ribbon width against its own moving average. When the three EMAs converge below a configurable threshold (default: 30% of average width), the ribbon turns yellow and the dashboard flags an active squeeze. Compression precedes expansion — a squeeze ending often marks the start of a directional move. Dedicated markers appear on the chart when a squeeze releases into a bullish or bearish trend.
▸ Composite Momentum Score (0–100)
A single number synthesizing four components, each weighted equally at 25 points:
— EMA alignment: full bullish or bearish stack scores 25, mixed scores 0
— Slope agreement: all three EMAs rising or all falling scores 25, partial agreement scores 12
— Spread strength: scaled between 0–25 based on where the current spread falls relative to the user-defined weak and strong thresholds
— Price position: price above the ribbon in a bullish trend (or below in bearish) scores 25, inside the ribbon scores 10, on the wrong side scores 0
The score is color-coded: cyan (80+), teal (60–79), orange (40–59), red (below 40).
▸ Dynamic Slope-Adaptive Colors
When enabled, each EMA line independently changes color based on its own slope — rising EMAs render green, falling EMAs render red. This provides an early visual warning when individual EMAs begin to flatten or turn, even while the overall stack remains intact. A bullish stack where the slow EMA has turned red is a qualitatively different signal than one where all three are green.
▸ Multi-Timeframe Dashboard
A built-in table displays trend state, spread, and grade across five timeframes simultaneously: the current chart timeframe plus 15-minute, 1-hour, 4-hour, and daily. The active chart timeframe is marked with ► in the MTF rows if it matches one of the fixed timeframes. A confluence row at the bottom counts how many timeframes are bullish versus bearish and outputs a directional bias: Strong Bull (4–5 aligned), Bull Lean (3), Neutral (mixed), Bear Lean (3 bearish), or Strong Bear (4–5 bearish).
🔹 CROSSOVER SIGNAL HIERARCHY
Not all EMA crossovers carry equal weight. The indicator differentiates three tiers with distinct marker sizes and shapes:
▸ Fast × Mid (tiny triangles) — Early signal. The 8 EMA crossing the 21 EMA indicates short-term momentum shift. Frequent, noisy, best used as an alert rather than a trigger.
▸ Fast × Slow (standard triangles) — Confirmation signal. The 8 EMA crossing the 55 EMA has more significance and filters out minor pullbacks.
▸ Mid × Slow (diamonds) — Trend shift signal. The 21 EMA crossing the 55 EMA typically marks a genuine change in trend direction. This is the least frequent and most reliable crossover in the set.
All crossover markers can be toggled off independently.
🔹 DASHBOARD COMPONENTS
The top-right dashboard (position and size adjustable) contains:
Row 1 — TREND: Current trend state (▲ Bullish / ▼ Bearish / ◆ Neutral) with bar count showing how long the trend has been active.
Row 2 — ZONE: Where price sits relative to the ribbon (Above / Inside / Below) alongside the momentum score out of 100.
Row 3 — SQUEEZE: Active squeeze status with a visual strength bar (██████░░░░) showing current spread intensity relative to its recent range.
Rows 4–9 — MTF OVERVIEW: Trend, spread, and grade for the current chart, 15m, 1H, 4H, and 1D timeframes.
Row 10 — BIAS: Multi-timeframe confluence verdict with bull/bear count.
🔹 SETTINGS
EMA Settings
▸ Fast / Mid / Slow EMA Period — Default 8/21/55. Periods must be in ascending order.
▸ Source — Close, Open, High, Low, HL2, HLC3, or OHLC4.
Overlay Settings
▸ Background Transparency — Controls the intensity of the trend-colored chart background (0–99).
▸ Crossover Signals — Toggle the three-tier crossover markers.
▸ Ribbon Fill — Toggle the colored fill between EMA lines. Fill turns yellow during active squeeze.
▸ Dynamic EMA Colors — Toggle slope-based EMA coloring (green = rising, red = falling).
▸ Bar Coloring — Optional candle coloring by trend state and price position. Off by default.
▸ Squeeze Detection — Toggle squeeze markers and dashboard squeeze status.
Dashboard
▸ Table Size — Tiny, Small, Normal, or Large.
▸ Table Position — 8 positions (corners, centers, sides).
Thresholds
▸ Weak/Strong spread thresholds (%) — Define what constitutes a weak, moderate, or strong trend spread. These should be adjusted per asset class (e.g., lower for forex, higher for crypto).
▸ Squeeze Lookback — Number of bars used to calculate the average ribbon width for squeeze detection.
▸ Squeeze Ratio — The compression threshold. A ribbon narrower than this ratio × average width triggers a squeeze flag.
🔹 ALERTS
Nine configurable alert conditions:
▸ Bullish / Bearish EMA Crossover (any tier)
▸ Mid × Slow Bullish / Bearish Shift
▸ Bullish / Bearish Stack Formed
▸ Squeeze Detected (compression begins)
▸ Squeeze Released (expansion starts)
▸ High Momentum (score crosses above 80)
🔹 SUGGESTED USE
This indicator works as a trend filter, not a standalone entry signal. Use it to:
▸ Confirm directional bias across timeframes before entering trades
▸ Identify compression phases where breakouts are likely
▸ Gauge trend quality and exhaustion via the momentum score and bar duration
▸ Filter crossover signals — a Fast × Mid cross during an active squeeze with MTF confluence is a higher-probability setup than the same cross in isolation
Pairs well with oscillators (RSI, Stochastic), volume-based indicators, or support/resistance tools for entry timing. Indicator
Zero-Lag MACD Divergence Pro Zero-Lag MACD Divergence Pro is a MACD-family oscillator that reduces the indicator's inherent lag using zero-lag exponential averaging, detects regular divergences directly inside the MACD pane, and optionally gates its buy/sell markers so they only appear when a divergence and a crossover confirm each other. It is designed for intraday timeframes but works on any chart.
What makes it original
This is not a standard MACD with cosmetic changes. Three elements work as one system: (1) all three components — fast line, slow line, and signal line — are rebuilt on zero-lag EMAs rather than standard EMAs, (2) divergence detection runs on the zero-lag MACD line itself and draws its lines and labels inside the oscillator pane, with an optional mirrored dashed line on the price chart, and (3) a combo-gating mode suppresses crossover markers unless a divergence was confirmed within a recent, user-defined window, which filters the many insignificant crossovers a MACD produces in ranging markets.
How it works
Zero-Lag Core: Each component uses the zero-lag EMA construction (2 × EMA − EMA of EMA), a public-domain technique attributed to John Ehlers' error-correction work. This roughly halves the effective lag of each average, so crossovers occur earlier than on a classic MACD. A faded classic MACD line can be displayed for side-by-side comparison and switched off in the settings.
Divergence Detection: Confirmed pivot highs/lows on the zero-lag MACD line are compared with price highs/lows at the same bars. A regular bullish divergence (price lower low, MACD higher low) or regular bearish divergence (price higher high, MACD lower high) draws a connecting line between the two MACD pivots with a label in the pane. Pivots confirm only after the lookback period elapses, so divergence lines appear with a delay by design and do not repaint.
Combo Signals: In the default mode, a buy/sell marker prints on the price chart only when a zero-lag crossover occurs while a same-direction divergence is still valid (within a user-defined number of bars). Turning combo mode off prints markers on every confirmed crossover instead. Signals respect a cooldown and a daily maximum.
Four-Color Histogram: The histogram distinguishes rising and fading momentum on both sides of the zero line.
Dashboard: A dark, movable panel (styled to stay readable on light-theme charts) summarizes MACD state, histogram direction, active divergence, zero-line position, and the day's signal count.
How to use it
Add the indicator to a lower-timeframe chart (5–15 min for intraday use). Watch for a divergence label in the pane, then wait for the crossover marker that confirms it — the combo mode automates exactly this sequence. The zero-line row on the dashboard helps grade signals: bullish setups above the zero line and bearish setups below it occur in the direction of the broader momentum. All lengths, the divergence window, signal limits, colors, and dashboard placement are adjustable.
Limitations
Divergence lines appear only after pivots confirm (default 5 bars), so they are visible later than the pivot itself; this is the unavoidable cost of non-repainting detection. Reduced lag also means the zero-lag lines are more sensitive than a classic MACD and can produce more crossovers in choppy conditions — the combo mode exists to filter these. This tool describes momentum conditions; it does not predict future price movement, and past behavior of any signal does not guarantee future results. Always combine with your own analysis and risk management. Indicator
Uptrick: Vector Trail TrendIntroduction
Uptrick: Vector Trail Trend (VTT) is an overlay tool that combines a velocity-projected trend line with an ATR-based adaptive trailing band to identify directional bias and trend reversals. A secondary momentum module layered on top flags statistically extreme momentum conditions that traders can use as dynamic take-profit references within the prevailing trend. The script also includes a configurable overlay presentation and an on-chart dashboard summarizing current trend state.
Originality
This script combines three distinct calculation layers that are not typically merged in a single publication, and each is included for a specific reason.
The first layer builds a trend center from a smoothed moving average of price, then projects that line forward using a smoothed rate of change of the trend center itself, scaled by a user-defined projection factor. This produces a trend reference that leans in the direction of recent acceleration rather than simply lagging price, which is the basis used for the trailing band below it.
The second layer wraps that projected trend center in an ATR-based band that only trails in the favorable direction and resets on a confirmed close beyond the opposite band, similar in mechanism to a ratcheting stop line. This layer is responsible for the directional flips and the up and down signals plotted on the chart.
The third layer is independent of the first two and evaluates RSI relative to its own rolling mean and standard deviation, expressed as a Z-score. This is used to flag when momentum has reached a statistically extreme reading relative to its recent history, which the script surfaces as separate dynamic take-profit markers. This layer exists because trend direction and momentum exhaustion are different pieces of information, and combining them gives traders both a directional read and a separate overextension read without conflating the two into a single signal.
The overlay is user-selectable between a gradient fill between price and the trail, a dual EMA trend ribbon, both together, or neither, so the visual presentation can be adjusted without changing the underlying trend or TP logic.
Features
Velocity-projected trend center using a smoothed moving average and a smoothed rate of change projection
ATR-based adaptive trailing band with directional flip logic
Confirmed-bar trend state calculation to avoid intrabar repainting of the trend flip
Dynamic take-profit engine based on a Z-score of RSI relative to its own rolling mean and standard deviation
Selectable TP marker style, cross or circle
Up and down trend signal labels plotted at the trail
Selectable overlay mode: vector gradient fill, trend ribbon, both, or none
Adjustable gradient and ribbon transparency
Optional candle coloring based on active trend direction
Adjustable trail line width
On-chart dashboard showing trend, signal, Z-score, TP state, distance from trail in ATR units, and active overlay mode
Nine selectable dashboard positions
Seven alert conditions: up signal, down signal, long dynamic TP, short dynamic TP, any trend signal, any dynamic TP, and all VTT signals combined
Inputs
Trend Settings: source, trend length, velocity smoothing length, vector projection factor.
Trail Settings: ATR length, ATR multiplier.
Dynamic TP Settings: show/hide dynamic TPs, TP marker style, momentum (RSI) length, Z-score length, TP extreme level threshold.
Overlay: overlay style selection, gradient transparency, ribbon fast length, ribbon slow length, ribbon transparency.
Visuals: show/hide up and down signals, candle coloring toggle, trail width.
Dashboard: show/hide dashboard, dashboard position.
How It Works / How to Use
The trend center is calculated from a moving average of the chosen source, then projected forward using a smoothed measure of its own rate of change. An ATR-based band is built around this projected line and only moves in the direction favorable to the current trend, flipping only on a confirmed close beyond the opposite band. This flip is what produces the up and down signals and the trend color change.
Once a trend is established, the script tracks RSI relative to its own recent mean and standard deviation. When this Z-score reaches the user-defined extreme level and then crosses back toward normal, a dynamic take-profit marker is plotted for the active trend, using the opposite color for visual distinction, indicating that momentum has cooled from an extreme reading.
Traders can use the trail flips for directional bias and entries, and the dynamic TP markers as a secondary reference for potential exhaustion points within that trend. The overlay mode, transparency, candle coloring, and dashboard are all cosmetic and can be adjusted without affecting the underlying calculations.
Conclusion
Uptrick: Vector Trail Trend combines a velocity-projected trend line, an adaptive ATR trailing band, and a momentum Z-score take-profit layer into a single overlay tool, giving traders both a directional trend read and a separate momentum-exhaustion reference from one indicator.
Disclaimer
This script is provided for informational and educational purposes only and does not constitute financial advice. Past performance, whether shown historically or implied through the script's logic, does not guarantee future results. Always perform your own due diligence and risk management before making trading decisions.
Indicator
Multi-Timeframe Squeeze Board LiteWhat it shows
Multi-Timeframe Squeeze Board — Lite answers one question at a glance: "Where is this symbol compressed, and which way is momentum leaning, on every timeframe that matters?" For the chart's symbol it displays a compact table with one row per timeframe — 15m, 1h, 4h, Daily, Weekly — and two readings per row:
- Sqz — the TTM Squeeze compression state as a colored dot, using the standard three-level cascade: orange = high squeeze (deepest compression), red = mid squeeze, black = low squeeze, green = no squeeze (volatility released / normal).
- Mom — the squeeze momentum oscillator as a colored arrow using the classic 4-color scheme: aqua = positive and rising, blue = positive but falling, yellow = negative but rising, red = negative and falling. The arrow points up when momentum is increasing bar-over-bar and down when it is decreasing.
A stacked squeeze (orange/red dots on several adjacent timeframes) marks a market coiling across horizons; the momentum colors tell you which side the pressure is building on.
How it works
Each row runs the full TTM Squeeze calculation on its own timeframe via request.security() with lookahead = barmerge.lookahead_off (no future data, ever):
1. Bollinger Bands: SMA(close, 20) basis, 2.0 × population standard deviation.
2. Keltner Channels: the same SMA(close, 20) basis, with band width = SMA of True Range over 20 bars (simple average of TR — not Wilder's ATR) at three multipliers: 1.0, 1.5, 2.0.
3. A squeeze is on when the Bollinger Bands sit fully inside the Keltner Channel on both sides. The narrower the Keltner band that still contains the BB, the deeper the compression — hence the 1.0-multiplier band defines the high squeeze, 1.5 the mid, 2.0 the low.
4. Momentum is the linear regression of price's deviation from the average of the Donchian midline and the SMA, over the same 20 bars.
By default the board evaluates confirmed bars only: every row shows the last fully closed bar of its timeframe, so a dot or arrow never changes after it appears. See Limitations for the tradeoff.
Inputs
- Squeeze length — lookback for BB, KC and momentum (default 20, the canonical TTM setting).
- Confirmed HTF bars only — ON (default): stable, non-repainting readings that lag up to one bar of each row's timeframe. OFF: rows track the still-forming higher-timeframe bar — more current, but the reading can flip until that bar closes.
- Table position / Table size — where the board sits and how large it renders.
How to use it
Apply it to a 15m chart (or lower) so all five rows populate. Scan the Sqz column top-to-bottom: multiple orange/red dots stacked across timeframes indicate multi-horizon compression — historically the precondition for expansion moves. Then read the Mom column for directional lean while the compression resolves. The board is a context tool: it tells you where energy is stored, not when or in which direction it must release.
Limitations — please read
- Confirmed-bar lag: with the default non-repainting mode, the Weekly row updates once per week, the Daily row once per day, etc. That is the honest cost of stability. Turning the toggle off shows the live forming bar instead, and those readings can change until the bar closes.
- Rows below the chart's timeframe show "–": Pine's request.security() cannot reliably reconstruct lower-timeframe series, so instead of showing a possibly wrong dot the board declines to show one. Use a 15m chart to see everything.
- A squeeze has no direction. Compression means stored energy, not a buy or sell signal. The momentum color is a lean, not a prediction.
- Warm-up: each timeframe needs about 20 bars of history before its row populates (shown as "·" until then).
This board covers one symbol — the chart's.
Indicator
Permutation Entropy Regime [Jayadev Rana]Permutation Entropy Regime
OVERVIEW
Permutation Entropy Regime is an original open-source tool that measures how ordered or random recent price action is, and turns that into a simple market-state read. Instead of moving averages or momentum, it borrows an idea from information theory called permutation entropy (the Bandt-Pompe method) to score the "predictability" of the market, then classifies the current bar into one of five regimes.
It is not a buy/sell signal generator. It is a context and filter tool that tries to answer one question: is the market currently structured enough to trend or swing, or is it behaving like random noise where most systematic edges break down?
HOW IT WORKS
1. Ordinal patterns. Over a rolling window of closes, the script looks at every group of three consecutive closes and records their rank order (which is highest, middle, lowest). With three values there are six possible orderings.
2. Permutation entropy. It builds a histogram of how often each of the six orderings appears in the window, then computes the Shannon entropy of that distribution and normalizes it to a 0-1 scale. A low value means a few orderings dominate (structured, repeatable behavior); a high value means all orderings appear about equally (random-walk-like behavior).
3. Predictability. Predictability is reported as (1 - normalized entropy) x 100. Higher means more ordered.
4. Structure Rank. Because raw predictability sits in different ranges on different symbols and timeframes, the script percentile-ranks the current predictability against its own recent history (Structure Rank Lookback). This adaptive 0-100 Structure Rank is the main line and the basis for the regime decision, so the tool self-calibrates to each market.
5. Drift bias. A separate term measures the net share of up versus down closes across the window (-1 to +1). It is used only to label a structured regime as Up, Down, or Range.
REGIMES
- Structured Up: Structure Rank at or above the Structured Level and drift bias positive.
- Structured Down: Structure Rank at or above the Structured Level and drift bias negative.
- Structured Range: Structure Rank high but drift near zero (ordered but sideways or mean-reverting).
- Neutral: Structure Rank between the two levels.
- Random / Chop: Structure Rank at or below the Chop Level.
INPUTS
- Core: Entropy Window (window length for the ordinal-pattern histogram) and Predictability Smoothing (EMA applied to the raw score).
- Regime: Structure Rank Lookback (adaptive percentile window), Structured Level and Chop Level (the two cutoffs), and Drift Bias Threshold (how strong the directional tilt must be to call Up or Down).
- Visuals: color price bars by regime, shade the indicator pane by regime, show the dashboard and choose its corner.
- Colors: one color per regime.
WHAT IT PLOTS
- Structure Rank line (0-100), colored by the active regime.
- Raw Predictability line for reference.
- Dashed Structured Level, Chop Level, and a midline.
- Optional regime background in the pane, and optional regime coloring of the main price bars.
- A dashboard showing the regime, Structure Rank, Predictability, normalized entropy, drift bias, and how many bars the current regime has lasted.
ALERTS
Five bar-close alertconditions: entered Structured Up, entered Structured Down, entered Structured Range, entered Random / Chop, and a generic Regime Changed. They evaluate on confirmed bar close.
HOW TO USE IT
This is a context filter, not a signal by itself. Common uses:
- Take your own trend or breakout setups mainly while the market is in a Structured Up or Structured Down regime, and stand aside or reduce size in Random / Chop.
- Prefer mean-reversion or range tactics in Structured Range.
- Combine the regime with your existing entries rather than acting on the regime alone.
MARKETS AND TIMEFRAMES
It is symbol- and timeframe-agnostic because the Structure Rank adapts to each market's own history. It runs on intraday and higher timeframes. Note that most liquid instruments are close to random at short intraday scales, so absolute Predictability is often low; the Structure Rank is what makes the reading comparable and actionable across markets.
CALCULATION AND REPAINTING NOTES
- All calculations use closed-bar data (close and historical closes). Values for the most recent, still-forming bar update until that bar closes, which is normal for any close-based indicator; historical values do not repaint after a bar has closed.
- The embedding dimension is fixed at 3 (groups of three closes). Ties between equal closes are resolved with a consistent rule and are rare on most instruments.
- There are no higher-timeframe requests and no future-looking access.
LIMITATIONS
- It measures structure, not direction quality; a structured regime is not a guarantee of follow-through.
- Permutation entropy of order 3 is a coarse estimate; very small windows are noisy and very large windows are slow to react.
- On extremely low-volatility or illiquid data, repeated equal closes can bias the pattern histogram.
- Like all indicators, it describes past and current behavior and does not predict future prices.
This script is open-source under the Mozilla Public License 2.0. It is provided for research and educational purposes only and is not financial advice. Test any tool on your own markets and settings before relying on it.
Open-source script
In true PulseWire spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
bluealgocapital
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by PulseWire. Read more in the Terms of Use.
Indicator
Swing Move AreaHighlights sustained directional price swings — stretches where a stock has moved significantly in one direction over several days or weeks — while filtering out normal day-to-day noise.
How it works:
The indicator tracks price in one of two states: an up-swing or a down-swing. While in an up-swing, it continuously records the highest close reached. If price pulls back from that high by more than your Reversal Threshold (default 25%), the swing is considered over — a new down-swing begins, and the indicator starts tracking the low from there. The same logic applies in reverse for down-swings. Small retracements that don't exceed the threshold are ignored, so the swing keeps building through normal volatility instead of resetting on every wiggle.
The plotted area shows the cumulative % change from the start of the current swing to the current close — so a stock that ran from ₹100 to ₹432 over 54 days will show as one continuous green area reaching +332%, and a decline from ₹443 to ₹32 will show as one continuous red area reaching -93%.
Reading the chart:
Green area (above zero) — active up-swing; height = % gained from the swing's starting point
Red area (below zero) — active down-swing; height (depth) = % lost from the swing's starting point
Tall towers — large, sustained moves, exactly the kind of high-momentum stretches worth investigating
Flat/shallow ripples — normal chop that stayed within the reversal threshold
Inputs:
Reversal Threshold (%) — how much of a pullback from the peak/trough is needed to flip the swing direction. Lower = more sensitive, flips more often. Higher = smoother, only flags major trend changes.
Up/Down Swing Fill colors — customizable.
Note: This is a pane-only indicator (no chart overlay). It's a confirmed/lagging signal by design — a swing's full height is only known once it reverses, so use it for identifying and studying historical high-momentum moves rather than as a real-time entry trigger. Indicator
Buy Sell Badge with DMI by ByblloBuy Sell Badge with DMI by Bybllo
At its core, this indicator combines two independent Buy/Sell signal sources into one badge system: (1) a basic Fast/Slow EMA crossover ("BSB"), and (2) a DMI-based signal built from the golden cross (DI+ crossing above DI-) and dead cross (DI- crossing above DI+) of the Directional Movement Index, filtered by a minimum ADX threshold.
The EMA crossover generates the base Buy/Sell signal, then automatically manages an ATR-based stop loss and a risk:reward-based take profit for each signal, showing the resulting entry/stop/target levels directly on the chart along with a live status table. The DMI golden-cross / dead-cross engine can be enabled as a confirmation filter on top of that: when turned on, a badge is only shown if a matching DMI cross (with ADX above a configurable threshold) occurs within a set number of bars of the EMA signal. In practice, this acts as a noise-reduction filter — choppy, low-conviction EMA crossovers with no matching directional strength behind them are suppressed, so only badges backed by both a trend-following signal and a directional-strength signal are actually displayed.
Key Features
Fast/Slow EMA crossover generates the base Buy/Sell signal, with an optional candle-confirmation requirement (close beyond open in the signal direction).
Automatic ATR-based stop loss and configurable Risk:Reward take profit are calculated for every new signal, with intermediate take-profit levels plotted when Risk:Reward is greater than 1.
Optional "BSB + DMI" confirmation filter: a badge is only shown when a DMI golden cross or dead cross, confirmed by ADX above your threshold, occurs within a configurable bar window of the EMA signal, in either order. This suppresses noisy, low-conviction EMA crossovers and leaves only the badges that are backed by both signals.
On-chart entry / stop-loss / take-profit lines and an SL distance (in points) label, both toggleable and only shown while a badge has actually been displayed for the active position.
Take-profit, stop-loss, and "invalidated" (opposite signal fired before target/stop was hit) markers are plotted separately so you can see exactly how each trade idea played out.
A live status table (top-right) shows the current position, entry, stop loss, take profit, and realized Risk:Reward.
Real-price calculation via request.security() keeps signals consistent regardless of chart type (Heikin Ashi, Renko, etc.).
A full set of alertcondition() calls for BSB-only signals, BSB+DMI confirmed signals, take-profit hits, stop-loss hits, and invalidated entries.
How to Use
Leave "BSB + DMI" unchecked to use the EMA crossover badges on their own (fastest signals, no directional-strength filter).
Check "BSB + DMI" to require that a DMI golden cross (for Buy) or dead cross (for Sell), confirmed by ADX, also occurs near the EMA signal — this filters out noise and typically reduces the number of badges, but favors signals that also have directional strength behind them.
Watch the on-chart entry/SL/TP lines and the status table to track an open idea's risk and progress in real time.
Set up alerts on the "BSB+DMI Buy/Sell", "Buy/Sell Signal", "Take Profit Hit", "Stop Loss Hit", or "Entry Invalidated" conditions depending on which events you want to be notified about.
Notes
The "EMA Badge Spacing" and "DMI Badge Spacing" inputs each apply their own cooldown to prevent duplicate signals firing on consecutive bars; keep the DMI spacing aligned with the badge spacing you use on other DMI-based indicators if you compare them side by side.
Stop-loss and alert-sensitivity offsets are point-based and will need adjusting per instrument (see the tooltips on those inputs).
This indicator does not place real orders; it is a visual / alerting tool for tracking a rules-based EMA + DMI golden-cross/dead-cross trade idea. Indicator
DMI DI Gap by ByblloDMI DI Gap by Bybllo
This indicator plots the gap (difference) between the DI+ and DI- lines of the Directional Movement Index (DMI). Instead of visually comparing two separate DI+ / DI- lines to spot a crossover, the difference (DI+ minus DI-) is calculated directly and plotted as a single line around a zero baseline.
A cross above the zero line signals a shift toward bullish momentum, while a cross below the zero line signals a shift toward bearish momentum — each crossing is automatically marked with a buy or sell arrow, so there is no need to eyeball where the two DI lines intersect.
Key Features
A single "DI Gap" line (DI+ minus DI-) replaces the need to watch two overlapping DI+ / DI- lines and spot their crossovers by eye.
Zero-line crossover / crossunder is detected automatically and marked with buy (upward) and sell (downward) triangle arrows, offset a configurable distance from the zero line.
An optional ADX line, rescaled from its native 0–100 range to a custom min/max range, can be overlaid to gauge trend strength alongside the directional gap.
A filled cloud area between the gap line and the zero line is colored according to whether the current gap is positive or negative.
+25 / -25 dotted reference lines help gauge how strong the current directional imbalance is.
Real-price calculation via request.security() ensures values stay consistent regardless of chart type (Heikin Ashi, Renko, etc.).
How to Use
When the DI Gap line crosses above zero, a buy arrow appears below the zero line, indicating directional momentum has turned bullish (DI+ has overtaken DI-).
When the DI Gap line crosses below zero, a sell arrow appears above the zero line, indicating directional momentum has turned bearish (DI- has overtaken DI+).
Use the optional rescaled ADX line to check whether the broader trend has enough strength to support the signal before acting on it.
The +25 / -25 dotted lines can be used as a rough guide for how pronounced the current directional imbalance is.
Notes
The rescaled ADX line is for visual reference only; it does not represent the standard 0–100 ADX scale unless the scale inputs are set to 0 and 100.
Works consistently across chart types since real market price data is always pulled via request.security(), regardless of the chart type currently displayed. Indicator
MTF StochRSI AlignmentMulti-Timeframe StochRSI Alignment
This indicator monitors the Stochastic RSI across three user-defined timeframes simultaneously and alerts you when they all align in the same direction — a classic sign of a strong, multi-timeframe overbought or oversold condition.
How it works
The script calculates Stochastic RSI independently on each of the three selected timeframes (default: 1-minute, 15-minute, and 1-hour) rather than approximating it from the chart timeframe. Each timeframe is then classified as:
- OB — Overbought (K ≥ 80, adjustable)
- OS — Oversold (K ≤ 20, adjustable)
- N — Neutral (in between)
A clean table in the corner of your chart displays all three timeframes and their current status at a glance, along with an overall **Signal** row:
- All three Overbought → SELL (box shades red)
- All three Oversold → BUY (box shades green)
- Mixed → WAIT (neutral shading)
Features
- Fully customizable timeframes — not locked to 1m/15m/1h, set any three you like
- Adjustable RSI length, Stochastic length, K/D smoothing, and OB/OS thresholds
- Configurable table position (all four corners) and text size
- Built-in alert conditions for both aligned Buy and aligned Sell signals, so you don't have to watch the chart
How to use it
This tool is designed to help you spot moments where short-term, medium-term, and longer-term momentum are all stretched in the same direction — often a precursor to a pullback or reversal. It works well as a confluence filter alongside your existing entry/exit strategy, rather than as a standalone signal generator.
Note: Multi-timeframe indicators reference higher-timeframe data that can update intra-bar. Signals on the lowest configured timeframe are most reliable once that candle has closed. This script is for informational purposes only and does not constitute financial advice — always combine it with your own risk management and analysis.
Indicator
Indicator
Momentum Consensus Heatmap [StrixEDGE]█ MOMENTUM CONSENSUS HEATMAP
A multi-timeframe momentum aggregation system that scans 6 oscillators across 4 customizable timeframes and fires high-conviction BUY/SHORT signals only when a critical mass of indicators reach overbought or oversold consensus simultaneously.
█ CONCEPT
Most momentum-based strategies rely on a single oscillator on a single timeframe — a setup prone to false signals and noise. This indicator solves that by requiring cross-timeframe and cross-indicator agreement before generating a signal.
The core logic works in two layers:
Layer 1 — Timeframe Consensus (per indicator):
Each oscillator is evaluated across 4 timeframes (default: 15m, 1H, 4H, 1D). An indicator only qualifies as "Overbought" or "Oversold" when at least 3 out of 4 timeframes agree (configurable: 2/4, 3/4, or 4/4).
Layer 2 — Indicator Consensus (overall signal):
A chart signal fires only when a user-defined number of indicators (default: 4 out of 6) have all independently reached Layer 1 consensus in the same direction.
This dual-filter architecture dramatically reduces noise and isolates moments of genuine, broad-based momentum exhaustion.
█ OSCILLATORS USED
• RSI (Relative Strength Index) — Classic momentum oscillator measuring speed and magnitude of price changes. Default OB/OS: 70/30.
• Stochastic RSI — Stochastic formula applied to RSI values, more sensitive to short-term momentum shifts than raw RSI. Default OB/OS: 80/20.
• Stochastic Oscillator — Compares closing price to the high-low range over a lookback period. Independent from Stoch RSI. Default OB/OS: 80/20.
• CCI (Commodity Channel Index) — Measures deviation from the statistical mean. Unbounded, making it useful for detecting extreme momentum. Default OB/OS: +100/−100.
• Williams %R — Reflects where the current close sits relative to the highest high. Inverted scale (−100 to 0). Default OB/OS: −20/−80.
• MFI (Money Flow Index) — Volume-weighted RSI. Adds a volume confirmation dimension that pure price-based oscillators lack. Default OB/OS: 80/20.
█ HEATMAP TABLE
The on-chart heatmap table provides a real-time dashboard of all 24 data points (6 indicators × 4 timeframes):
• Each cell shows the live oscillator value with color-coded background:
🔴 Red = Overbought zone
🟢 Green = Oversold zone
⚫ Gray = Neutral
• SCORE column shows how many timeframes agree for each indicator (e.g., "3/4 OB").
• SIGNAL column shows whether that individual indicator has reached consensus ("SHORT ▼" / "BUY ▲" / "—").
• CONSENSUS row at the bottom shows the overall verdict with a percentage score of indicator agreement.
Table position and text size are fully customizable through the settings panel.
█ CHART SIGNALS
When the overall consensus threshold is met:
▲ Green triangle below bar = BUY signal (oversold consensus)
▼ Red triangle above bar = SHORT signal (overbought consensus)
Signals fire only on the first bar of a new consensus event (no repeated signals while conditions persist). A subtle background color flash highlights the signal bar.
█ OPTIONAL TREND FILTER (EMA)
When enabled, signals are filtered by an EMA trend bias:
• BUY signals require price above the EMA (buying in an uptrend)
• SHORT signals require price below the EMA (shorting in a downtrend)
This is disabled by default to keep the indicator pure momentum-based, but can significantly improve signal quality in trending markets.
█ SETTINGS OVERVIEW
⏱ Timeframes — All 4 timeframes are independently configurable.
⚙ Indicator Lengths — Full control over each oscillator's lookback period.
📊 OB/OS Thresholds — Adjust overbought/oversold levels for every oscillator independently.
🎯 Signal Rules:
• Min TF Consensus: How many timeframes must agree per indicator (2-4, default 3).
• Min Indicators: How many indicators must reach consensus for a chart signal (1-6, default 4).
🎨 Table Appearance — Position, size, and full color customization (OB color, OS color, neutral, header, text).
🔔 Alerts — Native PulseWire alerts with detailed messages including ticker, timeframe, and consensus count.
█ HOW TO USE
1. Apply the indicator to any chart (works on all instruments and timeframes).
2. The heatmap table updates in real time — use it as a momentum dashboard.
3. Watch for chart signals:
• When 4+ indicators show oversold consensus across 3+ timeframes → BUY signal.
• When 4+ indicators show overbought consensus across 3+ timeframes → SHORT signal.
4. Set up PulseWire alerts to get notified when signals fire.
5. For higher conviction:
• Increase "Min Indicators" to 5 or 6 (fewer but stronger signals).
• Require 4/4 timeframe agreement instead of 3/4.
• Enable the EMA trend filter.
█ IMPORTANT NOTES
• This indicator uses request.security() to fetch multi-timeframe data. On the current timeframe, values update in real time. Higher timeframe values reflect the last closed bar of that timeframe.
• Signals are non-repainting once the bar closes. Intrabar, the table values and potential signals update as new ticks arrive (expected behavior for a real-time dashboard).
• This tool is designed for identifying momentum exhaustion zones. It does not predict direction — use it in confluence with price action, support/resistance, and your broader trading plan.
• Past performance is not indicative of future results. Always use proper risk management.
█ CREDITS & LICENSE
Open source under Mozilla Public License 2.0.
Built with Pine Script™ v6. Indicator
Indicator
Indicator
Momentum Tide @darshaksscMomentum Tide is an adaptive gradient-fill RSI oscillator. Instead of a smoothed RSI line
with fixed overbought/oversold zone colors, momentum is visualized as a single "tide" — a
continuous gradient fill between the smoothed RSI and the midline, where fill intensity
scales with distance from midline rather than using discrete zone bands.
🔶 HOW IT WORKS
RSI is smoothed with an EMA, then plotted against an adaptive overbought/oversold reference
calculated from the rolling standard deviation of RSI (not fixed 70/30 levels), so the tool
self-adjusts across instruments and timeframes. An ATR-based volatility filter suppresses
signals during low-momentum chop.
🔶 HOW TO USE
- Green tide + rising = building bullish momentum. Red tide + falling = building bearish momentum.
- Triangle markers = confirmed midline momentum shift (bar-close confirmed, non-repainting).
- Circle markers = reversal signal from the adaptive extreme zone.
- Dashboard (top-right) shows live RSI value, tide state, and momentum strength %.
🔶 SETTINGS
RSI Length, Smoothing Length, ATR Filter Length/Ratio, Adaptive Lookback, Adaptive Band Width.
🔶 LIMITATIONS
This is a momentum-visualization tool, not a standalone entry system. Best combined with
structure/S-R context. Can flip state more frequently in low-volatility, range-bound sessions.
For educational/informational purposes only. Not financial advice. Past performance does
not guarantee future results. Always use proper risk management. Indicator
Indicator
