@lpha Trader — Market Maker Fibonacci ExtensionsAUTO FIB based on extension targets for MM
free to use we dont however handout the script
Trend Analysis
Renko RSI (Brick-Triggered, Red/Green Only) MODIFIEDhe Renko RSI (Brick-Triggered, Red/Green Only) Modified indicator is a specialized trading tool designed for use with Renko charts, which focus solely on price movements rather than time. This modified version enhances the traditional Renko RSI by triggering signals based on brick formations (price blocks) and uses only red and green colors to indicate trend direction—green for bullish (upward) trends and red for bearish (downward) trends. It integrates the Relative Strength Index (RSI) to identify potential reversals or continuations when Renko bricks change direction, filtering out market noise for clearer trend analysis. The indicator is tailored to highlight high-probability entry and exit points, making it suitable for traders seeking a simplified, visual approach to spotting trends and reversals, especially on assets like crypto on short timeframes such as 15-minute or 1-hour charts.
EMA Cross Alert V666 [noFuck]EMA Cross Alert — What it does
EMA Cross Alert watches three EMAs (Short, Mid, Long), detects their crossovers, and reports exactly one signal per bar by priority: EARLY > Short/Mid > Mid/Long > Short/Long. Optional EARLY mode pings when Short crosses Long while Mid is still between them—your polite early heads-up.
Why you might like it
Three crossover types: s/m, m/l, s/l
EARLY detection: earlier hints, not hype
One signal per bar: less noise, more focus
Clear visuals: tags, big cross at signal price, EARLY triangles
Alert-ready: dynamic alert text on bar close + static alertconditions for UI
Inputs (plain English)
Short/Mid/Long EMA length — how fast each EMA reacts
Extra EMA length (visual only) — context EMA; does not affect signals
Price source — e.g., Close
Show cross tags / EARLY triangles / large cross — visual toggles
Enable EARLY signals (Short/Long before Mid) — turn early pings on/off
Count Mid EMA as "between" even when equal (inclusive) — ON: Mid counts even if exactly equal to Short or Long; OFF (default): Mid must be strictly between them
Enable dynamic alerts (one per bar close) — master alert switch
Alert on Short/Mid, Mid/Long, Short/Long, EARLY — per-signal alert toggles
Quick tips
Start with defaults; if you want more EARLY on smooth/low-TF markets, turn “inclusive” ON
Bigger lengths = calmer trend-following; smaller = faster but choppier
Combine with volume/structure/risk rules—the indicator is the drummer, not the whole band
Disclaimer
Alerts, labels, and triangles are not trade ideas or financial advice. They are informational signals only. You are responsible for entries, exits, risk, and position sizing. Past performance is yesterday; the future is fashionably late.
Credits
Built with the enthusiastic help of Code Copilot (AI)—massively involved, shamelessly proud, and surprisingly good at breakfasting on exponential moving averages.
Intraday Auto Support/Resistance LevelsIntraday Auto Support / Resistance Levels
Welcome to a powerful, automated tool designed for intraday traders. This indicator dynamically identifies and plots key Support and Resistance (S/R) levels directly onto your chart at the start of each new trading session. By leveraging historical pivot points, it eliminates the guesswork and manual drawing, providing you with clear, actionable price levels to enhance your trading strategy. Focus on your execution while the indicator handles the analysis.
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How It Works
The indicator operates through a sophisticated, multi-step process:
Pivot Identification: Using Tradingview’s built- in ta.pivothigh() and ta.pivotlow() functions, the script scans a user-defined number of bars back (the "Swing Level") to identify significant price swing highs and lows.
Data Collection: All identified pivot points are collected into a central array, creating a pool of potential S/R levels.
Session Start: At the opening of each new trading day (determined by the daily timestamp), the indicator processes this pool of prices.
Filtering & Sorting: The pivot points are split into two groups: those above the day's open price (potential Resistance) and those below (potential Support). A smart filtering algorithm then selects the most relevant levels based on your "Min Distance" setting, ensuring levels are not too close to each other and are statistically significant.
Dynamic Plotting: The strongest Support (S1, S2, S3...) and Resistance (R1, R2, R3...) levels are drawn as dotted lines extending throughout the trading session.
Adaptive Management: The script intelligently manages the lines. If price convincingly breaks through a key level (e.g., breaking above R1), the indicator may plot the next higher level (R2, R3) while removing a less relevant level on the opposite side of the market, keeping the chart clean and focused on the most pertinent zones.
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Key Features & Benefits
• Saves Time: Get professional-level analysis instantly, eliminating the need for manual
line drawing.
• Removes Emotion: All levels are determined objectively by the algorithm, not by
subjective trader bias.
• Enhances Strategy: Provides clear visual cues for potential entry, exit, stop-loss, and
take-profit points.
• Fully Customizable: Tailor the indicator's behavior to match your specific trading style and
instrument volatility.
• Clean Visuals: Plots clear, labeled lines with customizable colors and width for an
uncluttered chart.
• Data Window Output: Displays the exact price value for each level in the Data Window,
enabling precise planning and alert setting.
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Input Settings: Fine-Tune Your Levels
The indicator offers a comprehensive set of options for fine-tuning its behavior.
• Adjust Distance Between Lines (%): Controls the minimum percentage distance required
between consecutive S/R levels. A lower value plots more lines, while a higher value plots
fewer, more significant levels.
• Adjust Swing Level: This is the core sensitivity setting. A lower value finds more frequent,
minor pivots, while a higher value identifies major, more significant swings.
• Set Line Width: Adjust the visual thickness of the Support/Resistance lines.
• Show Label Side: Choose to place the level labels (e.g., "R1", "S2") on the "Left" or "Right"
side of the chart.
• Set Up Line Color: Customize the color for all Resistance (R) lines.
• Set Down Line Color: Customize the color for all Support (S) lines.
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Limitations
• Repainting: While historical levels are fixed, the most recent pivots can change until a
new swing point is confirmed. This can cause the most recent plotted level to "repaint"
slightly.
• Timeframe Dependency: This indicator is optimized for intraday timeframes. Using it on
timeframes longer than 1D may not yield the intended results as the daily session break
logic is a core part of its function.
• No Predictive Power: The algorithm is based on past price action. It does not account for
future fundamentals, news events, or market-moving announcements.
RB — Rejection Blocks (Price Structure)This indicator detects and visualizes Rejection Blocks (RBs) using pure price action logic.
A bullish RB occurs when a down candle forms a lower low than both its neighbors. A bearish RB occurs when an up candle forms a higher high than both its neighbors.
Validated RBs are displayed as boxes, optional lines, or labels. Blocks are automatically removed when invalidated (price closes through them), keeping the chart uncluttered and focused.
How to use
• Apply on any timeframe, from intraday to higher timeframes.
• Watch how price reacts when revisiting RB zones.
• Treat these zones as contextual areas, not entry signals.
• Combine with your own trading methods for confirmation.
Originality
Unlike generic support/resistance tools, this indicator isolates a specific structural pattern (rejection blocks) and renders it visually on the chart. This selective focus allows traders to study structural reactions with more clarity and precision.
⚠️ Disclaimer: This is not a trading system or a signal provider. It is a visual analysis tool designed for structural and educational purposes.
Sequential Pattern Strength [QuantAlgo]🟢 Overview
The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points.
🟢 How It Works
The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability:
if close > close
upSequence := upSequence + 1
downSequence := 0
else if close < close
downSequence := downSequence + 1
upSequence := 0
The system calculates sequence quality by measuring how "perfect" the consecutive moves are:
perfectMoves = math.max(upSequence, downSequence)
totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0))
sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0
First, it tracks price extension from the sequence starting point:
priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100
Then, pattern exhaustion is identified when sequences become overextended:
isExhausted = math.abs(currentSequence) >= maxSequence or
math.abs(priceExtension) > resetThreshold * math.abs(currentSequence)
Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement:
patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10)
enhancedSignal = patternStrength + momentum * 10
signal = ta.ema(enhancedSignal, smooth)
This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing.
🟢 Signal Interpretation
Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities
Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities
Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break
Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels
Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
FibNexus [CHE]FibNexus — Auto-Fibonacci with Adaptive TrendLen + TFRSI Triggers
What it is.
FibNexus is a chart overlay that auto-anchors Fibonacci levels to the most relevant swing range without any manual timeframe picking. It does this by computing an adaptive trend length (“TrendLen”) from recent price behavior, then drawing retracements/extensions from the detected swing High/Low. A built-in TFRSI module adds LONG/SHORT triggers and ready-made alerts.
What makes FibNexus different (the TrendLen edge)
Most Fibonacci tools either (a) use fixed lookbacks or (b) force you to choose a higher reference timeframe (or a multiplier of it) and then place Fibs on those higher-TF swings. Your earlier Ultimate Fibonacci Trading Tool \ follows that higher-reference approach (auto TF, multiplier, or manual) and emphasizes custom level/label options. ( )
FibNexus flips that workflow:
* It doesn’t rely on a higher timeframe or a static lookback.
* Instead, it measures multiple window lengths inside the current chart timeframe and selects the one that best fits the data right now.
* From that data-driven window, it automatically finds the most recent swing high & low and draws the entire Fib stack from there.
* When the statistically “best” window changes, anchors update once, labels refresh cleanly, and then lines just extend to the right on each new bar.
Result: No more guesswork about “which timeframe or lookback should I use?”—FibNexus adapts the anchors to market conditions and keeps the drawing noise low.
How TrendLen works (transparent, deterministic)
1. Scan windows: The script evaluates a series of lookbacks (10, 20, …, 500 bars).
2. Score by correlation: For each window, it computes the correlation between price and its lagged version and picks the window with the highest correlation (the strongest, most self-consistent trend segment).
3. Anchor the swing: On a confirmed bar and only when TrendLen changes, it scans the last `TrendLen` bars to capture the highest high and lowest low and marks them with “X”.
4. Draw once, extend later: It deletes the old Fib objects, redraws the active levels from those anchors, and from then on extends the lines to the right as new bars print (no redraw spam).
This makes FibNexus responsive (it adapts when the structure shifts) and quiet (it doesn’t constantly repaint Fibs).
Fibonacci engine (levels, labels, direction)
* Retracements: 0.000 · 0.236 · 0.382 · 0.500 · 0.618 · 0.786 · 1.000
* Extensions: 1.618 · 2.618 · 3.618 · 4.236
* Label styles: *Default* (percent + price), *None*, *Percentage*, *Price*
* Label sizing: *tiny → huge*
* Bull/Bear context: Direction is inferred from mid-range positioning; prices are projected accordingly (retracement vs. extension math is handled for both cases).
* Selective toggles: You can show/hide any level and color it independently.
Momentum & signals (TFRSI module)
FibNexus embeds your TFRSI (“The Forbidden RSI \ ”) as the momentum/trigger layer. TFRSI is your open-source oscillator published on TradingView and designed for fast, normalized momentum readouts with customizable length/smoothing. ( )
* Defaults: `TFRSI length = 6`, `signal smoothing = 2`
* Triggers:
* LONG when TFRSI crosses up through the Long level (default 2.0)
* SHORT when TFRSI crosses down through the Short level (default 98.0)
* On-chart labels: Green LONG under the bar, red SHORT above the bar.
* Spam control: Keep only the N most recent labels to avoid clutter.
* Confirmed bars only: Signals/labels finalize at bar close to reduce flicker.
Alerts (ready for TradingView)
* LONG signal (TFRSI crossover)
* SHORT signal (TFRSI crossunder)
* TrendLen changed (anchors/Fibs recalculated)
* Price crossed a Fib level (any active level)
Use the provided `alertcondition(...)` entries in the TV dialog. Optionally enable instant `alert()` calls with verbose text (avoid duplicates if you also add alertconditions).
Typical use-cases & playbook
* Level reaction trading: In trends, watch 0.382 / 0.5 / 0.618 for reaction. A TFRSI up-cross near a retracement in an uptrend is a straightforward continuation setup; the opposite applies in downtrends.
* Breakout objectives: After clearing the 1.000 line (old swing), 1.618 is a common first extension target; beyond that, 2.618/3.618/4.236 map stretch objectives.
* Chop control: In range conditions, keep signals conservative (e.g., stick with the tight defaults 2.0/98.0 or raise thresholds). Always seek confluence (candlesticks, volume, HTF bias).
* Less micromanagement: You don’t need to babysit timeframe selection or anchors—TrendLen recomputes only when the data say so.
Inputs (by group)
* Core: TFRSI length & smoothing.
* Fibonacci Levels: Per-level toggles, numeric values, colors.
* Fibonacci Labels: Style (percentage/price/both/none) and size.
* Signals: Max number of visible LONG/SHORT labels (or 0 = off).
* TFRSI Trigger: Long/Short thresholds (defaults 2.0 / 98.0).
* Alerts: Master enable, per-event toggles, optional instant `alert()`.
Performance & UX
* Overlay indicator; efficient object handling.
* Clean redraw policy: Full re-draw only when TrendLen changes; otherwise Fibs extend horizontally.
* Clarity: Auto-marked swing anchors (“X”), configurable labels/colors.
Credits & references
* TFRSI – “The Forbidden RSI \ ” (open-source publication and description on TradingView). Used here as the momentum basis.
* “Ultimate Fibonacci Trading Tool \ ” (your earlier open-source tool on TradingView). Focuses on higher-reference timeframe selection (auto/multiplier/manual) and rich labeling controls; FibNexus replaces the fixed/higher-TF anchor logic with adaptive TrendLen in the current timeframe.
Risk disclaimer
This indicator is for educational/information purposes only and is not financial advice. No performance guarantees; past behavior does not predict future results. Trading involves substantial risk (including total loss). Always do your own research, test on demo, use risk management, and consult a licensed advisor where appropriate. Use at your own risk.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence with FibNexus ! 🚀
Happy trading
Chervolino
Smart Structure Breaks & Order BlocksOverview (What it does)
The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition.
Main Components
Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points.
BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover.
OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone.
Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states.
Input Parameters
Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings.
Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten.
Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows.
Show Swing Points (default ON): Displays triangles on swing highs/lows.
Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover).
Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF).
Signal Definition & Logic
Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel.
BOS (Break of Structure):
Bullish – close breaks last swing high.
Bearish – close breaks last swing low.
Only one valid BOS per swing (avoids duplicates).
OB Detection:
Bullish BOS → previous bearish candle with lowest low forms the OB.
Bearish BOS → previous bullish candle with highest high forms the OB.
Zones: Bull = green, Bear = red, semi-transparent, extended to the right.
Zone States:
Mitigated: Price touches the zone → border highlighted.
Invalidated:
Bull zone → close below → turns red.
Bear zone → close above → turns green.
Chart Appearance
Swing High: red triangle above bar
Swing Low: green triangle below bar
Bull OB: green zone (border highlighted on touch)
Bear OB: red zone (border highlighted on touch)
Invalid Zones: Bull zones turn reddish, Bear zones turn greenish
Practical Use (Trading Assistance)
Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends.
Focus on First Touch: First mitigation after BOS often has higher reaction probability.
Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.).
Stops/Targets:
Bull – stop below zone, partial take profit at swing high or resistance.
Bear – stop above zone, partial take profit at swing low or support.
Parameter Tuning (per market/timeframe)
Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise.
Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals.
Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments.
Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones.
Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter.
Strengths
Standardizes BOS and OB detection that is usually subjective.
Tracks mitigation and invalidation automatically.
Adaptable: allows body/wick zone switching for different instruments.
Limitations
Pivot-based: Signals appear only after pivots confirm (slight lag).
Zones reflect past balance: Can fail after new events (news, earnings, macro data).
Range-heavy markets: More false BOS; consider stricter settings.
Backtesting: This script is for drawing/visual aid; trading rules must be defined separately.
Workflow Example
Identify higher timeframe trend (4H/Daily).
On lower TF (15–60m), wait for BOS and new OB.
Enter on first mitigation with confirmation candle.
Stop beyond zone; targets based on R multiples and swing points.
FAQ
Q: Why are zones invalidated quickly?
A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise.
Q: What does “tagged” mean?
A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled.
Q: Body or Wick zones?
A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas.
Customization Tips (Code perspective)
Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones.
Automated testing: Add strategy.entry/exit for rule-based backtests.
Multi-timeframe: Use request.security() for higher timeframe swings/BOS.
Visualization: Add labels for BOS bars, tag zones with IDs, count touches.
Summary
This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
Clean Zone + SL/TP (Latest Only)📌 Description
Clean Zone + SL/TP (Latest Only) is an indicator designed to highlight the most recent supply or demand zone based on pivot highs/lows, and automatically plot entry, stop loss, and multiple take profit levels.
🔹 Automatic Direction Detection
The script can auto-detect trade direction (Long/Short) using pivot logic, or you can override manually.
🔹 Zone Drawing
Only the latest valid supply (red) or demand (green) zone is displayed.
Zones are extended to the right for a customizable number of bars.
🔹 Entry / SL / TP Levels
Entry, Stop Loss, and TP1/TP2/TP3 levels are plotted automatically.
Targets can be calculated either by zone size or by ATR-based multiples.
Risk/Reward ratios are fully adjustable.
🔹 Customizable Display
Toggle visibility for zones (box), entry/SL/TP lines, and price labels.
Labels show only on the latest bar for a clean chart look.
🎯 Use Case
This tool helps traders quickly identify the cleanest and most recent supply/demand setup and manage trades with predefined risk/reward targets. It’s especially useful for price action traders and those who prefer simple, uncluttered charts.
Artharjan Heiken Ashi Super TrendArtharjan Heiken Ashi SuperTrend (AHAST)
The Artharjan Heiken Ashi SuperTrend (AHAST) indicator is a refined version of the classic SuperTrend tool, designed for traders who wish to blend trend-following logic with the smoothing effects of Heiken Ashi candles. This script not only highlights market trends but also introduces multi-timeframe filtering, visual cues, and alerts for sharper decision-making.
🔑 Key Features
Heiken Ashi Integration
Option to calculate trends using standard candles or Heiken Ashi candles.
Provides smoother visualization, reducing noise.
Flexible ATR Calculation
Choose between RMA (default) and SMA for ATR computation.
Option to switch between traditional ATR and Heiken Ashi-based ATR.
Customizable Inputs
ATR length, multiplier factor, trend colors, and higher-timeframe filters are all user-configurable.
Debug mode available for internal verification.
Visual Enhancements
Dynamic background highlighting to clearly distinguish bullish vs bearish phases.
Fill plots that emphasize ongoing trends.
Buy and Sell signal markers with optional on/off toggle.
Multi-Timeframe (MTF) Filter
Fetches higher timeframe (e.g., Weekly) Heiken Ashi values.
Detects bullish and bearish flips on higher timeframe trends.
Overlay highlights to align lower timeframe trades with broader market direction.
Alerts & Automation
Alerts available for:
Buy / Sell triggers
Direction changes
Higher timeframe bullish or bearish flips
Compatible with TradingView alerts for automated workflows.
⚙️ How It Works
Core Trend Logic
The script calculates the median price of Heiken Ashi highs and lows.
SuperTrend bands (up and dn) are adjusted using ATR.
A bullish or bearish state is determined based on price closing above or below these bands.
Signal Generation
Buy Signal: Trend flips from bearish (-1) to bullish (+1).
Sell Signal: Trend flips from bullish (+1) to bearish (-1).
Signals can be plotted as circles, labels, or both depending on configuration.
MTF SuperTrend
Parallel SuperTrend calculation on a higher timeframe (user-selected).
Detects bullish flip (HTF ↑) or bearish flip (HTF ↓).
Highlights the chart background with higher timeframe color filters when enabled.
Debug Mode
Turns on background shading to indicate whether Heiken Ashi or regular candles are in use.
Helps verify internal logic for advanced users.
🎨 Visualization Example
Green Highlight / Fill → Active bullish trend
Red Highlight / Fill → Active bearish trend
Light Blue / Gray Highlights → Higher timeframe bullish / bearish alignment
Buy / Sell Labels → Clear entry or exit cues, aligned with the trend
🚨 Practical Usage
Swing Traders: Use higher timeframe filters (e.g., Weekly) to align intraday signals with broader market direction.
Intraday Traders: Focus on Heiken Ashi smoothing to avoid whipsaws in volatile sessions.
Options Traders: Combine bullish/bearish flips with option strategies (e.g., Calls/Puts) to gain directional exposure.
✅ Final Thoughts
The Artharjan Heiken Ashi SuperTrend (AHAST) is not just another SuperTrend indicator—it’s a versatile trading companion. By merging classic ATR-based logic with Heiken Ashi smoothing and multi-timeframe confirmation, this tool equips traders with early signals, trend clarity, and strong alignment across timeframes.
Use it with discipline, combine it with your trading framework, and let it sharpen your edge in the markets.
With Thanks,
Rrahul Desai
@Artharjan
Rolling Midpoints of Price vs 50% FibThis script overlays two complementary midpoint lines on your chart to reveal evolving bias, structural imbalances, and zones of mean reversion:
🔸 The Price Midpoint tracks a dynamic center based on the raw price range over a user-defined lookback.
🔸 The Fib Midpoint is calculated from the most recent confirmed swing high and low, forming a live 50% Fibonacci retracement — then smoothed for trend stability.
📘 What Is Mean Reversion, and Why Midpoints Matter?
Markets often oscillate between periods of trend and consolidation. Mean reversion refers to the tendency of price to return to a “fair value” after stretching too far in one direction. The Price Midpoint captures this range-based balance, while the Fib Midpoint anchors to structural swing levels. When price strays far from both, it may be overextended — setting the stage for pullbacks or reversion. When price hovers between or tests both midlines, it reflects balance or indecision. EquiZone helps visualize this dynamic, offering traders real-time insight into whether price is moving with strength, fading, or snapping back to equilibrium.
🔍 Concept Breakdown
➖Price Midpoint – A rolling midpoint between the highest high and lowest low over a user-defined lookback. Think of it as a range-weighted equilibrium.
➖Fib Midpoint – A dynamic 50% Fibonacci retracement between the most recent confirmed swing high and swing low (based on pivot logic), smoothed over time for stability.
➖Color-coded Fills & Bar Colors – Highlight confluence and divergence between the two midpoints, offering intuitive visual cues on trend alignment or structural disagreement.
🎯 Why It’s Useful
➖Spot consolidation zones and structural inflection points
➖Detect hidden divergence between price action and swing structure
➖Use midpoint alignment as a trend confirmation filter
➖Identify mean reversion setups when price strays too far from both midlines
➖Visualize market equilibrium across two complementary perspectives
⚙️ Customizable Features
➖Independent lookbacks for both midpoints
➖Toggle fill shading and adjust color schemes
➖Choose from multiple bar color modes (Close, HL2, OHLC3, OHLC4)
➖Control pivot sensitivity via left/right bar windows
➖Select pivot source: high, low, or close
🧠 How to Use
➖When Price Mid > Fib Mid, momentum may be outrunning structure → bullish extension
➖When Fib Mid > Price Mid, structure leads but price lags → bearish potential or fading momentum
➖When the two lines converge, it signals a zone of balance or potential breakout setup
➖Use bar colors to confirm whether price is leading or following structure
🔧 This isn’t just a visual overlay — it’s a structure-aware bias engine.
Best For:
📈 Trend-followers seeking confirmation between price action and structure
🔄 Reversal traders watching for midpoint divergence
📊 Range traders identifying dynamic fair-value zones
🔍 Price-action analysts who want a clean, non-lagging context layer
➡️ Built for clarity and speed, EquiZone adds zero clutter and works seamlessly across all timeframes and asset types. It pairs especially well with support/resistance zones, trendlines, Fibonacci ladders, and price action patterns.
📌 Final Note:
While Rolling Midpoints provides insight into market balance and directional bias, no single indicator should be traded in isolation. For best results, combine it with contextual tools such as trend structure, volume analysis, higher-timeframe mapping, and clear entry/exit frameworks. Use this as a bias confirmation tool, not a trigger by itself.
Cloud Craft SR [Volume Enhanced Edition]Cloud Craft SR - Advanced Support & Resistance System
Short Description:
Advanced cloud-based support & resistance indicator with volume analysis. Features dynamic zones, multi-timeframe analysis, and adaptive visual themes for different chart backgrounds.
Full Description:
Cloud Craft SR is an advanced support and resistance detection system that combines price action analysis with volume dynamics to identify high-probability trading zones.
🎯 Key Features:
Smart Zone Detection: Automatically identifies and ranks support/resistance zones based on historical price action
Volume Integration: Enhanced zone strength calculation using volume-weighted analysis
Multi-Timeframe Analysis: Configurable timeframe selection for deeper market structure analysis
Adaptive Visual Themes: Three color schemes optimized for white, black, and gray chart backgrounds
Dynamic Cloud Visualization: Visual representation of zone strength through opacity and border width
Real-Time Information Panel: Live zone data with volume rankings and strength metrics
Breakout Detection: Volume-confirmed breakout signals for enhanced reliability
📊 How Power & Volume Are Calculated:
Power Calculation:
Power represents the strength of each support/resistance zone based on:
Pivot Points: Number of price reversals at the zone (each pivot = 20 base points)
Touch Count: How many times price has tested the zone
Volume Weight: If volume analysis is enabled, zones with higher volume get multiplied strength
Example:
Zone has 3 pivot points = 60 base points
Price touched the zone 5 times = +5 points
Total base strength = 65
If volume at this zone is 1.5x average = 65 × 1.5 = 97.5 Power
Display Power = 97.5 ÷ 10 = 9.8 (shown as 10 in panel)
Volume Integration:
Collects volume data at each pivot point
Compares zone volume to average volume
Applies multiplier (default 1.5x) to strengthen high-volume zones
Volume Rank shows relative volume importance (⭐ to ⭐⭐⭐⭐⭐)
Visual Representation:
Higher Power = Thicker borders
Higher Volume = Less transparency (more solid appearance)
Top zones are displayed with strongest at top of panel
⚙️ Customization Options:
Cloud Timeframe (3min to Monthly)
Analysis Depth (100-500 bars)
Zone Sensitivity Control (2-12%)
Strength Filter Settings (min touches required)
Visual Style Selection
Volume Analysis Toggle
Panel Position & Theme
📈 How It Works:
The indicator analyzes historical price pivots to identify areas where price has repeatedly found support or resistance. These zones are then weighted by volume activity to determine their relative strength. Stronger zones appear more prominent visually, helping traders quickly identify key levels.
💡 Best Use Cases:
Identifying key support/resistance levels for entry/exit points
Confirming breakouts with volume analysis
Setting stop-loss and take-profit levels
Multi-timeframe confluence analysis
Risk management and position sizing
Default Settings Optimized For: 4H timeframe analysis with 250-bar lookback period
Why Protected Source?
This indicator uses proprietary algorithms for:
- Advanced pivot detection with volume weighting
- Dynamic zone strength calculation combining multiple factors
- Adaptive visual rendering based on volume and strength metrics
RS Alpha by The Noiseless TraderRS Alpha by The Noiseless Trader plots a clean, benchmark‑relative strength line for any symbol and (optionally) a mean line to assess trend and momentum in relative performance. It’s designed for uncluttered, professional RS analysis and works across any timeframe.
Compare any symbol vs a benchmark (default: NSE:NIFTY).
Optional log‑normalized RS for return‑aware comparisons.
Optional RS Mean with trend coloring (rising/falling).
Optional RS Trend zero‑line coloring based on short‑range slope.
Lightweight alerts for rising/falling RS mean.
Tip: Use RS to identify leaders (RS > 0 with rising mean) and laggards (RS < 0 with falling mean), then align setups with your price action rules.
Reading the indicator
Leadership: RS > 0 and RS Mean rising → outperformance vs benchmark.
Weakness: RS < 0 and RS Mean falling → underperformance vs benchmark.
Inflections: Watch RS crossing above/below its Mean for early shifts.
Zero‑line context: With RS Trend on, the zero line subtly reflects short‑term slope (green for positive, maroon for negative).
Alerts
Rising Strength – RS Mean turning/remaining upward.
Declining Strength – RS Mean turning/remaining downward.
(Use these as context; execute entries on your price‑action rules.)
Best practices
Pair RS with your trend/structure rules (e.g., higher highs + RS leadership).
For sectors/baskets, keep the Comparative Symbol consistent to rank peers.
Log‑normalized RS helps when comparing assets with very different volatilities or large base effects.
Test multiple length and Mean settings; 60 is a balanced default for swing/positional work.
Credits
Original concept & code: © bharatTrader
Modifications & refinements: The Noiseless Trader
Market Structures by The Noiseless TraderMarket Structure by The Noiseless Trader is an indicator that highlights simple candle-based market structure patterns: Market Structure Low (MSL) and Market Structure High (MSH) . It is designed to make these shifts visible directly on the chart.
Pattern Logic
MSL (Market Structure Low)
Candle 2: Bearish
Candle 1: Bearish, closing below Candle 2’s close
Candle 0: Bullish, closing above Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
MSH (Market Structure High)
Candle 2: Bullish
Candle 1: Bullish, closing above Candle 2’s close
Candle 0: Bearish, closing below Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
Features
Label plotting: When a pattern forms, the script places an “MSL” or “MSH” label slightly offset from Candle 0 so that the signal is visible but does not overlap the bar.
Bar coloring: Optionally, the script colors the signal candles for faster visual recognition (green for MSL, red for MSH).
Repaint protection : A setting allows the user to confirm signals only on bar close. This ensures the label does not disappear once plotted, though it delays the signal until the candle closes.
Customizable inputs: Users can set the minimum body size threshold (in % of price) and adjust the label offset distance to their preference.
Alerts: TradingView alerts can be created for both MSL and MSH events, making it possible to receive notifications when patterns appear.
How to Use
MSL labels mark potential swing lows where bearish pressure is followed by a bullish reversal.
MSH labels mark potential swing highs where bullish pressure is followed by a bearish reversal.
These patterns are most useful for studying shifts in short-term trend structure. Traders can monitor them as potential areas of interest, but they are not standalone entry or exit signals.
This indicator should be used as part of a broader trading framework. For example, some traders may combine MSL/MSH with trend filters, higher-timeframe analysis, or support/resistance zones or even classical pattern clubbed with MSL/MSH.
Notes
This tool highlights specific three-candle formations. It does not generate buy/sell recommendations.
It is intended for educational and analytical purposes only.
Past appearances of MSL or MSH patterns do not guarantee future performance.
Always confirm with your own market analysis before taking trading decisions.
Developed by The Noiseless Trader .
50% of Previous 1H Candle (Color Logic)📌 Script Title: 50% Midpoint of Previous 1H Candle (Color Coded)
📝 Description:
This indicator draws a horizontal line at the 50% (midpoint) of the most recently closed 1-hour candle, helping traders visualize intraday support/resistance and sentiment bias.
🔹 Key Features:
Plots the midpoint of the last 1H candle as a horizontal line.
Color-coded line and label:
🟢 Green: Previous candle was bullish
🔴 Red: Previous candle was bearish
⚪ Gray: Neutral (doji or equal open/close)
Displays the exact price level with a floating label.
Works on any lower timeframe chart (e.g., 5m, 15m, 30m).
Automatically updates every hour after the 1H candle closes.
📈 Use Cases:
Trade around the 1H midpoint as a dynamic pivot zone.
Confirm or fade price breakouts/rejections at this level.
Use it with trendlines, supply/demand zones, or VWAP.
🔍 Technical Notes:
The midpoint is calculated using:
Midpoint = (High + Low) / 2
from the most recent closed 1H candle.
Color logic is based on whether the 1H candle closed above or below its open.
🚀 Enhancement Ideas (future updates):
Add optional alerts on cross of the midpoint.
Show multiple historical midpoint levels.
Input toggle to enable/disable color coding.
Whether you’re scalping intraday or watching for reaction zones, this tool gives you a clean, real-time level to anchor your trades around.
Happy trading! 💹
— Built with ❤️ in Pine Script v6
Triple Tap Sniper Triple Tap Sniper v3 – EMA Retest Precision System
Triple Tap Sniper is a precision trading tool built around the 21, 34, and 55 EMAs, designed to capture high-probability retests after EMA crosses. Instead of chasing the first breakout candle, the system waits for the first pullback into the EMA21 after a trend-confirming cross — the spot where professional traders often enter.
🔑 Core Logic
EMA Alignment → Trend defined by EMA21 > EMA34 > EMA55 (bullish) or EMA21 < EMA34 < EMA55 (bearish).
Cross Detection → Signals are only armed after a fresh EMA cross.
Retest Entry → Buy/Sell signals fire only on the first retest of EMA21, with trend still intact.
Pro Filters →
📊 Higher Timeframe Confirmation: Aligns signals with larger trend.
📈 ATR Volatility Filter: Blocks weak signals in low-vol chop.
📏 EMA Spread Filter: Ignores tiny “fake crosses.”
🕯️ Price Action Filter: Requires a proper wick rejection for valid entries.
🚀 Why Use Triple Tap Sniper?
✅ Filters out most false signals from sideways markets.
✅ Focuses only on clean trend continuations after pullbacks.
✅ Beginner-friendly visuals (Buy/Sell labels) + alert-ready for automation.
✅ Flexible: works across multiple timeframes & asset classes (stocks, crypto, forex).
⚠️ Notes
This is a signal indicator, not a full strategy. For backtesting and optimization, convert to a strategy and adjust filters per market/timeframe.
No indicator guarantees profits — use with sound risk management.
MA Median Crossover | MisinkoMasterThe MA Median Crossover is a new trend analysis tool designed to help traders catch trends with less noisy, more accuracy and speed.
While simple, this effective indicator can improve your strategy more than you might think.
How does it work?
1. Get user defined input
=> set up your indicator to your likings, and make it capture what you want it to
2. Calculate the Moving Average and Median Base
=> this is the foundation of the indicator
3. Smooth the median
=> less noise, more accuracy, just like that!
4. Compare the MA to the smoothed Median
=> If the MA > smoothed Median, it signals an uptrend, if the MA < smoothed Median,
it signals a downtrend.
Yep, that is how simple it is.
Final note:
Changing the MA type is very influencial, so watch out when changing them.
Enjoy G´s!
AlphaADX Trend Meter - Enhanced ADX VisualizationTechnical Overview
This indicator enhances the traditional Average Directional Index (ADX) with advanced visualization techniques and adaptive threshold management. It demonstrates several Pine Script programming concepts including dynamic color gradients, conditional plotting, and real-time information display systems.
Mathematical Methodology
Core ADX Calculation
Uses standard DMI (Directional Movement Index) calculation: ta.dmi(diLength, adxSmoothing)
Applies configurable smoothing to reduce noise while preserving trend signals
Maintains mathematical integrity of Welles Wilder's original ADX formula
Dynamic Color System
Gradient Implementation:
pinecolor.from_gradient(adxValue, minThreshold, maxThreshold, startColor, endColor)
Color Logic:
Strong trends (ADX > 25): Bright colors (green for bullish, red for bearish)
Weak trends (15 < ADX ≤ 25): Muted colors with transparency
Choppy markets (ADX ≤ 15): Gray coloring to indicate low directional movement
Gradient mode creates smooth color transitions based on ADX intensity
Adaptive Threshold Framework
While maintaining standard ADX interpretation levels, the indicator allows customization of:
Strong trend threshold (default: 25)
Weak trend threshold (default: 20)
Chop zone threshold (default: 15)
This flexibility accommodates different market conditions and trading styles.
Technical Features
1. Multi-Layer Visualization
Primary ADX Line: Color-coded based on strength and direction
Histogram Display: Shows ADX momentum with transparency effects
Trend Meter Bar: Simplified visual reference at bottom of chart
Background Zones: Subtle shading for strong trends and chop zones
2. Signal Generation
Automatic Detection:
Strong trend emergence (ADX crosses above strong threshold)
Chop zone entry warnings (ADX falls below chop threshold)
Trend direction changes in strong trending markets
Visual Markers:
Triangle arrows for strong trend signals
Cross markers for chop zone warnings
Color-coded based on bullish/bearish bias
3. Information Dashboard
Real-time table displaying:
Current ADX value with dynamic background coloring
Trend status classification (Strong/Weak/Neutral/Choppy)
Directional bias (Bullish ↑/Bearish ↓)
DI+ and DI- values for detailed analysis
4. Alert System
Programmatic alerts for:
Strong trend emergence
Entry into consolidation zones
Trend reversals during strong directional moves
Breakouts from choppy conditions
Programming Techniques Demonstrated
Advanced Pine Script Concepts:
Dynamic Color Functions: Custom color selection based on multiple conditions
Conditional Plotting: Different visual elements based on user preferences
Table Implementation: Real-time information display with formatting
Alert Integration: Multiple condition monitoring system
Input Validation: Parameter bounds and logical constraints
Visual Enhancement Methods:
Gradient color transitions for smooth visual feedback
Transparency effects to reduce visual clutter
Multi-component display system for comprehensive analysis
Customizable visual elements for user preference accommodation
Educational Value
This indicator serves as a learning tool for:
Enhanced ADX Implementation: Shows how to extend built-in indicators with additional functionality
Visual Design Principles: Demonstrates effective use of colors, transparency, and layout
User Interface Development: Table creation and information display techniques
Alert System Design: Comprehensive condition monitoring and notification
Configuration Options
ADX Parameters:
ADX Length: Period for directional movement calculation
DI Length: Directional indicator smoothing period
ADX Smoothing: Additional smoothing for noise reduction
Threshold Levels:
Strong Trend Level: Threshold for identifying strong directional movement
Weak Trend Level: Moderate trend identification threshold
Chop Zone Level: Low directional movement threshold
Visual Controls:
Trend Meter: Toggle bottom reference bar
Histogram: Show/hide ADX momentum bars
Signal Arrows: Enable/disable trend change markers
Info Table: Display/hide real-time information panel
Gradient Mode: Switch between smooth gradients and solid colors
Use Cases and Applications
Market Analysis:
Trend Identification: Determine current market directional strength
Regime Classification: Distinguish between trending and ranging markets
Timing Analysis: Identify optimal periods for trend-following strategies
Risk Management:
Environment Assessment: Avoid trading during low-ADX choppy periods
Position Sizing: Adjust trade size based on trend strength
Strategy Selection: Choose appropriate techniques based on market regime
Educational Purposes:
ADX Understanding: Visual representation of directional movement concepts
Pine Script Learning: Example of advanced indicator development techniques
Market Behavior: Observation of trend strength patterns across different timeframes
Limitations and Considerations
Technical Limitations:
ADX is a lagging indicator that confirms existing trends rather than predicting them
Requires sufficient price movement data for meaningful calculations
May generate false signals in very low volatility environments
Threshold levels may need adjustment for different asset classes
Usage Guidelines:
Most effective when combined with other forms of technical analysis
Consider market context and fundamental factors
Use appropriate timeframes for intended trading approach
Regular parameter review for optimal performance
Performance Notes:
Calculations optimized for real-time analysis
Visual elements designed to minimize chart clutter
Alert system prevents excessive notifications through condition filtering
Disclaimer
This indicator is designed for educational and analytical purposes. It demonstrates enhanced visualization of the ADX indicator and various Pine Script programming techniques. Users should understand that past performance does not guarantee future results and should always employ proper risk management practices. The indicator should be used as part of a comprehensive trading approach rather than as a standalone decision-making tool.
Sentinel 5 — OHL daybreak signals [KedArc Quant]Overview
Sentinel 5 plots the first-bar high/low of each trading session and gives clean, rules-based signals in two ways:
1) OHL Setups at the close of the first bar (Open equals/near High for potential short; Open equals/near Low for potential long).
2) Breakout Signals later in the session when price breaks the first-bar High/Low, with optional body/penetration filters.
Basic workflow
1. Wait for the first session bar to finish.
*If O≈H (optionally by proximity) → short setup. •
*If O≈L → long setup. • If neither happens, optionally allow later breakouts.
2. Optional: Act only on breakouts that penetrate a minimum % of that bar’s range/body.
3. Skip the day automatically if the first bar is abnormally large (marubozu-like / extreme ATR / outsized vs yesterday).
Signals & Markers
Markers on the chart:
▲ O=L (exact) / O near L (proximity) – long setup at first-bar close.
▼ O=H (exact) / O near H (proximity) – short setup at first-bar close.
▲ Breakout Long – later bar breaks above first-bar High meeting your penetration rule.
▼ Breakout Short – later bar breaks below first-bar Low meeting your penetration rule.
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator
Purpose
This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns.
What a martingale is
A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged:
Lose one leg → increase next position size
Lose again → increase again
Win → reset to the base size
The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops.
What it plots
Equity – simulated portfolio equity including compounding
Buy & Hold – equity from holding the chart symbol for context
Optional helpers – last trade outcome, current streak length, current allocation fraction
Optional diagnostics – daily portfolio return, rolling drawdown, metrics table
Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands
Model assumptions
Bar-close execution with no slippage or commissions
Shorting allowed and frictionless
No margin interest, borrow fees, or position limits
No intrabar moves or gaps within a bar (returns are close-to-close)
Sizing applies to equity fraction only and is capped by your setting
All results are hypothetical and for education only.
How the simulator applies it
1) Directional signal
You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts.
2) Sizing after losses and wins
Position size is a fraction of equity:
Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity
Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double
Reset after win – return to the initial allocation
Max allocation cap – hard ceiling to prevent runaway growth
At a high level the size after k consecutive losses is
alloc(k) = min( cap , base × factor^k ) .
In practice the simulator changes size only when a leg ends and its PnL is known.
3) Equity update
Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds:
eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) .
This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled.
Why traders experiment with martingale sizing
Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn
Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests
Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live
Why martingale is dangerous
Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic:
Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N.
Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible.
No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels.
Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest.
Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs.
Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected.
The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty.
Interpreting losing streaks with numbers
A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check:
If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare.
If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap.
This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions
Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests..
Using the simulator productively
Parameter studies
Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond.
Initial allocation – lower base reduces volatility and drawdowns across the board
Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive
Max cap – the most important brake; many users keep it between 20 and 50 percent
Signal selection
Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each.
Diagnostics to watch
Use the built-in metrics to quantify risk:
Max Drawdown – worst peak-to-trough equity loss
Sharpe and Sortino – volatility and downside-adjusted return
VaR 95 percent and CVaR – tail risk measures from the realized distribution
Alpha and Beta – relationship to your chosen benchmark
If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see
Monte Carlo exploration
When enabled, the forecast draws many synthetic paths from your realized daily returns:
Choose a horizon and a number of runs
Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path
Use the table to read the expected return over the horizon and the tail outcomes
Remember it is a sketch based on your recent distribution, not a predictor
Concrete examples
Example A: Modest martingale
Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing.
Example B: Aggressive martingale
Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk.
Strengths
Bar-by-bar, transparent computation of equity from stance and size
Explicit handling of wins, losses, streaks, and caps
Portable signal inputs so you can A–B test ideas quickly
Risk diagnostics and forward uncertainty visualization in one place
Example, Rolling Max Drawdown
Limitations and important notes
Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs.
No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled.
Signals are evaluated on closes. Real execution and fills will differ.
Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes.
All results are hypothetical. Use this as an educational tool, not a production risk engine.
Practical tips
Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples.
Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg.
Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear.
Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off.
If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop.
Settings recap
Backtest start date and initial capital
Initial allocation, increase-after-loss factor, max allocation cap
Signal source selector
Trading days per year and risk-free rate
Benchmark symbol for Alpha and Beta
UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown
Monte Carlo controls for enable, runs, horizon, and result table
Final thoughts
A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework
Overview
ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength.
Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes.
How It Works
The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states:
Calm Tide : Low ADX values indicate sideways or consolidating conditions.
Rising Tide : ADX increases past a threshold, signaling momentum building.
Strong Tide : ADX remains elevated, confirming robust and sustained trend strength.
Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups.
These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action.
Interpretation
Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions.
Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively.
Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation.
Strategy Integration
ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks:
Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum.
Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases.
Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals.
Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals.
Advanced Techniques
For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods:
Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through.
Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend.
Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading.
Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide.
Inputs & Customization
ADX Length : Define the lookback period for ADX calculation.
Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides.
Zone Visualization : Choose between bar coloring, background shading, or overlays.
Color Customization : Configure bullish, bearish, neutral, and tide-specific colors.
Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation.
Why Use ADX Tide Zones
ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can:
Anticipate breakouts before volatility expands.
Confirm the strength behind price trends.
Spot exhaustion phases early to secure profits or prepare for reversals.
Adapt strategies seamlessly between scalping, intraday, and swing trading.
With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Trading IVBDiscover the power of precision with Trading Sessions IVB – Multi Sessioni, the ultimate intraday tool for session analysis and automatic target generation. Instead of manually calculating levels, this indicator instantly transforms each trading session into a clear, structured framework on your chart.
As soon as a session begins, a dynamic box highlights its price range in real time. From that simple box, the indicator automatically creates high-probability targets: percentage levels at ±0.5% and ±0.61% to capture quick intraday moves, and projection levels at one and two times the session’s range to anticipate powerful breakouts. These targets appear instantly and update live, giving you predefined levels to trade around without the guesswork.
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Stop wasting time on manual calculations and start trading with a tool that does the heavy lifting for you. Trading Sessions IVB – Multi Sessioni turns raw market sessions into ready-to-use trading levels, helping you trade with more clarity, speed, and confidence.
Alpha -> PROFABIGHI CAPITAL🌟 Overview
The Alpha → PROFABIGHI CAPITAL indicator calculates the excess return performance of any asset relative to a chosen benchmark using beta coefficient analysis and risk-adjusted return measurement . It combines covariance calculation, variance analysis, and return averaging across (Asset Returns, Benchmark Returns, Beta Coefficient) with rolling window calculations. The indicator features automated alpha generation detection through statistical correlation analysis and zero-division protection for reliable performance measurement.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for comparison (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear alpha visualization.
📊 Alpha Calculation Components & Methods
The indicator calculates multiple performance metrics using statistical methods:
- Asset Returns : Rate of change calculations for current asset price movements per bar
- Benchmark Returns : Rate of change calculations for benchmark price movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Covariance divided by benchmark variance with zero-division protection
- Alpha Calculation : Mean asset returns minus beta multiplied by mean benchmark returns
📈 Advanced Statistical Features
Rolling Window Analysis:
- Dynamic Lookback : All calculations use specified lookback period for current relevance
- Continuous Updates : Statistics recalculated with each new bar for real-time analysis
- Moving Averages : Simple moving average calculations for return smoothing
Security Data Integration:
- Multi-Symbol Processing : Fetches benchmark data using security request function
- Timeframe Matching : Uses current chart timeframe for benchmark data synchronization
- Close Price Focus : Utilizes closing prices for both asset and benchmark calculations
Mathematical Protection:
- Zero-Division Check : Conditional logic prevents division by zero in beta calculation
- NA Value Handling : Returns 'na' when benchmark variance equals zero
- Robust Framework : Maintains functionality when calculations become undefined
📏 Signal Levels & Interpretation
– Positive Alpha (Green) : Asset returns exceed beta-adjusted benchmark performance
– Negative Alpha (Red) : Asset returns fall below beta-adjusted benchmark performance
– Zero Line Reference : Horizontal dashed line marking neutral alpha level
– Alpha Magnitude : Higher absolute values indicate stronger relative performance
– Color-Coded Display : Automatic green/red formatting based on positive/negative values
📋 Mathematical Framework
Core Calculation Process :
- Return Calculation : Rate of change for both asset and benchmark over single periods
- Mean Return Smoothing : Simple moving averages applied to return streams
- Covariance Formula : Average of return products minus product of mean returns
- Variance Formula : Average of squared returns minus squared mean returns
- Beta Derivation : Covariance divided by benchmark variance
- Alpha Formula : Asset mean return minus beta times benchmark mean return
🎨 Visual Features
– Alpha Line Plot : Main alpha visualization with 2-pixel line thickness
– Conditional Coloring : Green for positive alpha, red for negative alpha values
– Enhanced Visibility : Thick line format for clear trend identification
– Zero Reference Line : Gray dashed horizontal line at zero level
– Separate Display Pane : Independent oscillator panel below price chart
🔍 Advanced Features
– Real-Time Calculation : Updates automatically with each new price bar
– Manual Statistical Computation : Direct covariance and variance calculations for precision
– Benchmark Flexibility : Any tradable symbol can serve as performance reference
– Error Prevention : Built-in zero-division protection for reliable operation
– Multi-Asset Compatibility : Works across different asset classes and markets
– Rolling Window Methodology : Maintains specified lookback period for all calculations
🔔 Performance Signals
– Alpha Positive Crossover : When alpha value moves above zero line
– Alpha Negative Crossover : When alpha value moves below zero line
– Sustained Alpha Trends : Consistent positive or negative alpha over multiple periods
– Alpha Magnitude Changes : Increasing or decreasing strength of relative performance
– Beta-Adjusted Comparison : Performance measurement accounting for systematic risk correlation
By utilizing rolling statistical calculations and beta-adjusted return analysis , the Alpha → PROFABIGHI CAPITAL indicator provides mathematically sound relative performance measurement , offering accurate identification of excess return generation through systematic covariance and variance analysis with comprehensive zero-division protection .
