Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6)
A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6.
Full credits to zeiierman.
Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use.
Concept
The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins.
At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume.
Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it.
Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design.
How it works (under the hood)
Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL).
Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot.
Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate.
Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character.
Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits.
Inputs & controls
Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise.
Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler.
Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets.
Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder).
Style settings — Colors for swing labels and VWAP segments, plus line width for visibility.
Trade logic summary
Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high).
Exit: Close the long when structure turns bearish.
Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile.
Recommended workflow
Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker).
Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother).
Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen.
Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations.
Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use.
Practical tips
Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer.
First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges.
Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls.
Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities.
Extending the script (ideas)
Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation).
Introduce mirrored short logic for two-sided testing.
Include alert conditions for regime flips or for price-VWAP interactions.
Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0).
Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges.
Known limitations
Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals.
Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity.
No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice.
Defaults (backtest environment)
Initial capital: 10,000
Commission value: 0.01
Slippage: 1
Overlay: true
Max bars back: 5000; Max labels/polylines set for deep swing histories
Quick checklist
Add to chart and verify that the instrument has volume.
Use defaults, then tune APT and Volatility Bias with/without ATR adaptation.
Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits.
Paper trade across several symbols/timeframes before any discretionary decisions.
Attribution & license
Original indicator concept and logic: Zeiierman — please credit the author.
Strategy wrapper and publication: PineIndicators .
License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Xauusd(w)
Auto Reference Relative Valuation Oscillator📌 Auto Reference Relative Valuation Oscillator
🧠 What does this script do?
This indicator shows whether the current asset is overvalued or undervalued compared to a reference symbol like:
- TVC:DXY – US Dollar Index
- TVC:GOLD – Gold
- CRYPTOCAP:BTC – Total BTC Market Cap
- SP:SPX – S&P 500 Index
- TVC:USOIL – US Crude Oil
It uses the ratio:
price of current asset ÷ price of reference asset
Then normalizes this ratio into a 0–100 oscillator scale .
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⚙️ Settings:
- Asset Group : Choose your reference symbol by group (Forex, Gold, Crypto, etc.)
- Lookback Period : Period used for calculating high/low bounds (default: 14)
- Upper Bound : Overvaluation threshold (default: 90)
- Lower Bound : Undervaluation threshold (default: 10)
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📈 How to use:
- Values above 80–90 → Asset is likely overvalued
- Values below 20–10 → Asset is likely undervalued
- Combine with Supply/Demand Zones , and price action to spot high-probability trade entries.
Example:
If the indicator is undervalued AND price touches a demand zone → Potential BUY
If the indicator is overvalued AND price hits a supply zone → Potential
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✅ Best for:
- Multi-asset traders
- Forex and Crypto trading
- Intermarket analysis
- Confluence with fundamental/macroeconomic models
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🧩 No coding or setup needed:
Just apply the indicator, choose your asset group, and trade smartly based on valuation.
Sigmax - AI Sniper v1.0💵 Sigmax – Signal Maximizer Indicator 💵
Sigmax (AI Sniper v1.0) is an advanced trading indicator powered by AI, designed to optimize entry and exit points. It combines multiple signal models and strategies, giving traders flexibility in different market conditions.
🔑 Key Features:
AI Swing Signal – Mid-term Buy/Sell signals with customizable TP/SL for risk management.
AI Sniper Signal – High-accuracy short-term signals, ideal for scalping and fast trades.
AI Reversal Signal – Detects potential trend reversals to secure exits or capture turning points.
AI Order Block Signal – Identifies accumulation/distribution order block zones for strategic entries.
AI Trend Line Signal – Automatically draws and alerts based on trendline setups.
AI Quantitative Signal – Uses RSI + quantitative filters to detect short-term breakouts/reversals.
AI Miracle Signal – A hybrid signal combining multiple algorithms, suited for volatile markets.
Risk Signal – Alerts when signals carry higher risk.
📊 Trend & Money Management:
Magic Trend & Miracle Trend: AI-powered trend detection for reliable market direction.
Support & Resistance Zones: Auto-detects strong and weak levels with customizable sensitivity.
Trend Channel: Automatically plots market channels to track price movements.
Scalp & Swing TP/SL: Multiple Take Profit & Stop Loss levels (based on % or distance) for capital protection.
⚙️ Flexible Settings:
Adjustable AI signal length, RSI, and quantitative thresholds.
Enable/disable individual signal types.
Customizable colors for uptrend, downtrend, and S/R zones.
Risk allocation by percentage for effective money management.
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
Mean Reversion Channel [QuantAlgo]🟢 Overview
The Mean Reversion Channel indicator is a range-bound trading system that combines dynamic price channels with momentum-weighted analysis to identify optimal mean reversion opportunities. It creates adaptive upper and lower reversion zones based on recent price action and volatility, while incorporating a momentum-biased equilibrium line that shifts based on volume-weighted price momentum. This creates a three-tier system where traders and investors can identify overbought and oversold conditions within established ranges, detect momentum exhaustion points, and anticipate channel breakouts or breakdowns. This indicator is particularly valuable for strategic dollar cost averaging (DCA) strategies, as it helps identify optimal accumulation zones during oversold conditions and provides tactical risk management levels for systematic investment approaches across different market conditions and asset classes.
🟢 How It Works
The indicator employs a four-stage calculation process that transforms raw price and volume data into actionable mean reversion signals. First, it establishes the base channel by calculating the highest high and lowest low over a user-defined lookback period, creating the foundational price range for mean reversion analysis. This channel adapts continuously as new price data becomes available, ensuring the system remains relevant to current market conditions.
In the second stage, the system calculates volume-weighted momentum by combining price momentum with volume activity. The momentum calculation takes the price change over a specified period and multiplies it by the volume ratio (current volume versus 20-period average volume, for instance) and a volume factor multiplier. This creates momentum readings that are more significant during high-volume periods and less influential during low-volume conditions.
The third stage creates the dynamic reversion zones using Average True Range (ATR) calculations. The upper reversion zone is positioned below the channel high by an ATR-based distance, while the lower reversion zone is positioned above the channel low. These zones contract when momentum is negative (upper zone) or positive (lower zone), creating asymmetric reversion bands that adapt to momentum conditions.
The final stage establishes the momentum-biased equilibrium line by calculating the midpoint between the reversion zones and adjusting it based on momentum bias. When momentum is positive, the equilibrium shifts upward; when negative, it shifts downward. This creates a dynamic reference level that helps identify when price action is moving against the prevailing momentum trend, signaling potential mean reversion opportunities.
🟢 How to Use
1. Mean Reversion Signal Identification
Lower Reversion Zone Signals: When price reaches or falls below the lower reversion zone with bearish momentum, the system generates potential long/buy entry signals indicating oversold conditions within the established range.
Upper Reversion Zone Signals: When price reaches or exceeds the upper reversion zone with bullish momentum, the system generates potential short/sell entry signals indicating overbought conditions.
2. Equilibrium Line Analysis and Momentum Exhaustion
Equilibrium Breaks: The dynamic equilibrium line serves as a momentum bias indicator within the channel. Price crossing above equilibrium suggests shifting to bullish bias, while breaks below indicate bearish bias development within the mean reversion framework.
Momentum Exhaustion Signals: The system identifies momentum exhaustion when price breaks through the equilibrium line opposite to the prevailing momentum direction. Bullish exhaustion occurs when price falls below equilibrium despite positive momentum, while bearish exhaustion happens when price rises above equilibrium during negative momentum periods.
3. Channel Expansion and Breakout Detection
Channel Boundary Breaks: When price breaks above the upper reversion zone or below the lower reversion zone, it signals potential channel expansion or false breakout conditions. These events often precede significant trend changes or range expansion phases.
Range Expansion Alerts: Breaks above the channel high or below the channel low indicate potential breakout from the mean reversion range, suggesting trend continuation or new directional movement beyond the established boundaries.
🟢 Pro Tips for Trading and Investing
→ Strategic DCA Optimization: Use the lower reversion zone as primary accumulation levels for dollar cost averaging strategies. When price reaches oversold conditions with bearish momentum exhaustion signals, it often represents optimal entry points for systematic investment programs, allowing investors to accumulate positions at statistically favorable price levels within the established range.
→ DCA Pause and Acceleration Signals : Monitor equilibrium line breaks to adjust DCA frequency and amounts. When price consistently trades below equilibrium with momentum exhaustion signals, consider accelerating DCA intervals or increasing investment amounts. Conversely, when price reaches upper reversion zones, consider pausing or reducing DCA activity until more favorable conditions return.
→ Momentum Divergence Detection: Watch for divergences between price action and momentum readings within the channel. When price makes new lows but momentum shows improvement, or price makes new highs with deteriorating momentum, these signal high-probability mean reversion setups ideal for contrarian investment approaches.
→ Alert-Based Systematic Investing/Trading: Utilize the comprehensive alert system for automated DCA triggers. Set up alerts for lower reversion zone touches combined with momentum exhaustion signals to create systematic entry points that remove emotional decision-making from long-term investment strategies, particularly effective for volatile assets where timing improvements can significantly impact overall returns.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
Hassi XAUUSD 15TF BUY/SELL (Anchored, Non-Repainting)What this does
Hassi XAUUSD 15TF BUY/SELL is a non-repainting signal indicator designed for XAUUSD (Gold) on the 15-minute timeframe (also works on BTCUSD). It blends EMA crossover + RSI + MACD with optional volume & volatility filters, and prints anchored BUY/SELL arrows that stay glued to their candle (no visual drifting on zoom/scale/replay). Optional confidence% labels help you judge signal quality at a glance.
Why it’s stable (no repaint)
Signals confirm only on bar close (barstate.isconfirmed).
Arrows/X marks are placed with label.new(x=bar_index, y=high/low, xloc.bar_index, yloc.abovebar/belowbar) so they remain exactly above/below the triggering candle.
No request.security for higher-TF lookaheads; no negative offsets.
How signals are generated
Core trigger: EMA(9) crosses EMA(21)
RSI filter (opt): RSI ≥ RSI Buy Min (default 50) for buys; ≤ RSI Sell Max (default 50) for sells
MACD filter (opt): MACD line crosses its signal or histogram sign matches direction
Volume/ATR filters (opt): require a basic volume spike and above-average ATR volatility (toggleable)
Divergence (opt): lightweight RSI divergence hints (diamond marks)
Anchored markers
BUY: triangle below the signal candle
SELL: triangle above the signal candle
EXIT (❌): small x above (long exit) / below (short exit) when the opposite signal confirms
Nudges: fine-tune vertical placement with tick offsets (inputs) without breaking anchoring
Inputs (defaults)
Fast EMA: 9
Slow EMA: 21
RSI Length: 14
MACD Fast/Slow/Signal: 12 / 26 / 9
Require RSI filter (50 line): ✅
Require MACD cross filter: ✅
RSI Buy Min / RSI Sell Max: 50 / 50
Buy/Sell/Exit Offset (ticks): 0 / 0 / 0
Advanced toggles: Trend Strength ✅, Dynamic Sizing (visual) ✅, Volume Filter ⛔, Volatility Filter ⛔, RSI Divergence ⛔, Show Confidence ✅
Status line/table: ✅
Alerts
Add any of these in Add Alert → Condition: this indicator
Buy Signal → {{ticker}} BUY @ {{close}} - ANCHORED SIGNAL
Sell Signal → {{ticker}} SELL @ {{close}} - ANCHORED SIGNAL
Exit Mark → {{ticker}} EXIT @ {{close}} - ANCHORED EXIT
Recommended use (15-minute XAUUSD)
Use during active sessions (London/NY overlaps).
Keep defaults; enable Volume & Volatility filters in high-noise conditions.
Add confluence (S/R, structure/BOS, session highs/lows, FVG or HTF bias).
Manage risk with structure-based SL or ATR x 1.0–1.5, and partial TP at 1:1–1.5R.
Note: You mentioned it has ~80% win rate on 15TF in your testing. Performance varies by broker feed, session, spread, and risk management. Treat results as educational, not a guarantee.
Non-repainting notes
Signals lock on close; historical arrows are final.
Labels are bar/price anchored (no drift when you zoom or change scale).
Arrays trim old labels automatically to avoid drawing limits.
FAQ
Q: Why don’t past arrows move when I resize the chart?
A: They’re label.new() anchored to bar_index and bar high/low with xloc/yloc, so they stay with the candle.
Q: Can I turn it into a strategy/backtest?
A: Yes—wrap the same signals into strategy.entry/exit, but this release is an indicator by design.
Q: Will it work on BTC or other pairs/timeframes?
A: Yes, but it’s tuned for XAUUSD M15. Adapt filters for other markets.
Changelog
v1.0 — Initial public release: anchored non-repainting arrows, optional RSI/MACD filters, volume/ATR filter, divergence hints, confidence labels, status panel, alerts.
Disclaimer
This tool is for education and analysis only. It is not financial advice. Trading involves risk; do your own research and manage risk responsibly.
OrderVibe indicator (Invite-Only)What it is
OrderVibe is a closed-source tool that visualizes market structure and volatility. It does not generate trade calls or manage orders. It draws zones/levels and optional alerts so traders can build their own process.
How it works - technical overview (conceptual)
* Trend regime filter (optional). Uses a sloped moving-average baseline to qualify trend and can require higher-timeframe (HTF) agreement.
* Momentum gate. A smoothed, rate-of-change–style momentum must align with the trend and exceed a configurable strength threshold.
* Volatility filter. ATR-based bounds suppress setups when volatility is unusually low or high for the instrument.
* Order-block zones (SMC element). Marks candidate OB zones derived from pre-break structure and uses them for confluence; zones invalidate on decisive closes.
* Support/Resistance. Clusters recent pivots into zones using ATR-relative distance, keeping the most relevant areas by recency/proximity.
* Informational entry label. Prints on controlled retests of active zones when trend/momentum/volatility conditions are met. Labels are informational only.
* Baseline stop suggestion. Suggests a protective distance based on ATR or recent swing, whichever is more conservative.
* ATR TP ladder (TP1-TP10). Optional multi-level targets built from ATR multiples; per-level toggles and alerts.
* Cooldown. After a label, a short cooldown prevents duplicates; invalid zones are removed automatically.
* Alerts (optional). New S/R zone, new OB zone, TP reached, and related events.
Why it’s not a simple mashup
* Dual qualification (trend + momentum) with optional HTF agreement.
* Volatility-aware suppression and ATR-normalized zone clustering.
* Integrated ATR TP ladder with per-level controls and cooldown in one workflow.
* Provides clear value beyond classic MA/ATR combinations by combining HTF-aware gating, ATR-relative zone clustering, and structured multi-target management.
How to use
* Works on any symbol; defaults are calibrated for intraday XAUUSD.
* Adjust ATR lengths/ranges and TP multipliers to your instrument.
* Hide unused TP levels; forward-test before using live.
* Educational analytics only; no signals or advice.
Disclaimer
Analytical tool only. This is not financial advice and outcomes are not guaranteed. Use independent judgment and risk management.
Access
Access is invite-only and granted manually on TradingView. For contact details, see my Signature.
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold?
PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD.
PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets.
🔑 Core Features
VWAP Anchoring – institutional fair value reference to filter trades.
Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility.
Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe.
EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals.
Dynamic Risk Management
Adjustable Take Profit / Stop Loss (%)
Trailing Stop that locks in profits on extended moves
Break-Even Logic (stop loss moves to entry once price is in profit)
⚡ Gold-Tuned Presets
XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading.
XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings.
Generic Mode → works on Forex, Indices, and Crypto (fully customizable).
🎯 Why It Works
Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining:
✅ Institutional bias (VWAP)
✅ Adaptive trend filter (Supertrend)
✅ Momentum confirmation (RSI MTF)
✅ Robust trend structure (EMA + SMA)
✅ Smart exits (TP, SL, trailing & breakeven)
This multi-layer confirmation makes entries stronger and keeps risk under control.
🛠️ Usage
Add the strategy to your chart.
Choose a preset (XAUUSD 1H, 4H, or Generic).
Run Strategy Tester for performance metrics.
Optimize TP/SL and ATR values for your broker & market conditions.
🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
Machine Learning BBPct [BackQuant]Machine Learning BBPct
What this is (in one line)
A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system.
Background: %B in plain terms
Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes.
Why add (simplified) KNN?
Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas:
• Feature vector . Each bar is summarized by up to five normalized features:
– %B itself (normalized)
– Band width (volatility proxy)
– Price momentum (ROC)
– Volume momentum (ROC of volume)
– Price position within the bands
• Distance metric . Euclidean distance ranks the most similar recent bars.
• Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance.
• Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence.
This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration.
How the script is organized (by input groups)
1) BBPct Settings
• Price Source – Which price to evaluate (%B is computed from this).
• Calculation Period – Lookback for SMA basis and standard deviation.
• Multiplier – Standard deviation width (e.g., 2.0).
• Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B.
2) Thresholds
• Overbought/Oversold – Default 0.8 / 0.2 (inside ).
• Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions.
3) KNN Machine Learning
• Enable KNN – Switch between pure %B and hybrid.
• K (neighbors) – How many historical analogs to blend (default 8).
• Historical Period – Size of the search window for neighbors.
• ML Weight – Blend between raw %B and KNN estimate.
• Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows.
4) Filtering
• Method – None, Adaptive, Kalman-style (first-order),
or Hull smoothing.
• Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate.
5) Performance Tracking
• Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest).
• Early Entry Lookback – Horizon for forecasting a potential threshold cross.
• Profit Target / Stop Loss – Used only by the internal win-rate heuristic.
6) Self-Optimization
• Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes).
• Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is.
• Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3).
7) UI Settings
• Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays.
• Signal Line Width, Candle Painting, Colors – Visual preferences.
Step-by-step logic
A) Compute %B
Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev.
%B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB .
B) Build the feature vector
All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5).
C) Find nearest neighbors
For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K .
D) Predict and blend
Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient.
E) Adaptive thresholds
Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes.
F) Early entry heuristic
A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself.
G) Informational win-rate
The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest.
Outputs and visual language
• ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering.
• Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline.
• Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes.
• ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7.
• Early arrows – Optional small triangles for approaching OB/OS.
• Candle painting – Light green above the midline, light red below (optional).
• Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed.
Signal classification (informational)
The indicator does not fire trade commands; it labels state:
• STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds.
• BUY / SELL – finalBB beyond adaptive OS/OB.
• EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence.
• NEUTRAL – between adaptive bands.
Alerts (what you can automate)
• Entering adaptive OB/OS and extreme OB/OS.
• Midline cross (0.5).
• Overfitting detected (frequent parameter flipping).
• Early signals when early confidence > 0.7.
These are purely descriptive triggers around the indicator’s state.
Practical interpretation
• Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B.
• Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts.
• Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag.
• Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools.
• Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop.
Methodological notes
• Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that.
• Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts.
• Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias.
• Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA.
• Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator.
• Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative.
Limitations and cautions
• Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks).
• Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare.
• Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail.
• Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest.
• Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives.
Tuning guide
• Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength.
• Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest.
• Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges.
• Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes.
How to use it responsibly
Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation.
Summary
Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
Price Acceleration Matrix [QuantAlgo]🟢 Overview
The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods.
In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level.
The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter.
🟢 How to Use
1. Signal Interpretation and Momentum Analysis
Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions
Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions
Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation
Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings
Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution
2. Overbought/Oversold Zone Analysis
Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks
Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential
Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes
🟢 Pro Tips for Trading
→ Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal.
→ Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals.
→ Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts.
→ Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity.
→ Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches.
→ Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
Hassi XAUUSD Advanced FVG EMA/BOS/RSI/Volume + Session FilterWhat it does :
This strategy automates a popular ICT-style idea on XAUUSD (Gold): trade only when price taps back into a Fair Value Gap (FVG), but filter entries with trend, structure, momentum, volume, and session rules. It manages risk with fixed TP/SL (points) and shows a compact backtest panel on chart.
Core Logic
1) Market Structure (BOS)
Detects recent swing highs/lows and flags a Break of Structure:
BOS Up when price breaks the latest swing high.
BOS Down when price breaks the latest swing low.
2) FVG Detection (3-candle)
Bullish FVG when low > high and low > high .
Bearish FVG when high < low and high < low .
The most recent qualifying gap is drawn as a shaded box (optional).
3) Bias & Filters
Trend Bias: price vs EMA (default 200). Longs only above EMA; shorts only below.
Momentum: optional RSI filter (default 14); avoid longs in OB & shorts in OS.
Volume: optional filter requiring current volume > SMA(20) × multiplier.
Sessions: optional London / New York (PKT) time windows.
Entries & Exits
Long Entry (all must be true)
Above EMA, RSI bullish, volume ok, session ok, BOS Up.
A recent Bullish FVG exists (within N bars).
Price taps back into the FVG (low ≤ top & close > bottom) with a bullish candle.
Short Entry (mirror)
Below EMA, RSI bearish, volume ok, session ok, BOS Down.
A recent Bearish FVG exists (within N bars).
Price taps (high ≥ bottom & close < top) with a bearish candle.
Risk / R:R
Exits use fixed points on XAUUSD (default TP 100, SL 50).
On many gold feeds 1.0 = 10 points; inputs convert to price automatically.
“One-trade-at-a-time”: a new signal won’t fire until the previous position is flat.
Chart Labels
On entry, the script plots BUY/SELL plus fixed TP/SL lines & labels anchored to the entry bar (they don’t drift with price).
Visuals & Tools
EMA line (green/red by bias).
Swing points (tiny triangles) to see structure.
FVG boxes (green/red, optional).
Session shading (subtle blue overlay).
Stats Panel (top-right):
Total Trades, TP Hits, SL Hits, Win Rate, Profit Factor, Net P&L.
Inputs (quick guide)
EMA Length (default 200)
Swing Lookback for BOS (default 5)
FVG Box Length (how far the zone extends to the right)
TP / SL (points) for XAUUSD + display Risk:Reward
Sessions (PKT): London & New York windows + toggle
Filters: Volume (multiplier), RSI (length, OB/OS)
Visibility: show/hide FVG boxes & TP/SL drawings
Alerts
Buy Signal / Sell Signal on valid entries
Position Opened / Position Closed notifications
Best Practices & Notes
Designed for XAUUSD 15-minute. You can test other timeframes, but retune TP/SL points and filters accordingly.
Broker ticks differ: if your symbol steps are not 0.1, adjust TP/SL points.
Use with a HTF confluence (e.g., D1/4H bias, key S/R, news awareness).
Backtests are approximations; real results vary with spreads, slippage, and execution.
Disclaimer: This tool is for educational purposes. It is not financial advice. Always test before using on live capital.
XAUUSD to GC1! ConverterThis simple utility indicator compares the spot gold price (XAUUSD) with the COMEX gold futures contract (GC1!).
It calculates the current spread between the two instruments and allows you to input a signal price on XAUUSD to instantly see the equivalent price on GC1!.
Perfect for traders who receive alerts on spot gold but execute on futures, ensuring seamless price adaptation.
Hassi XAUUSD STRATEGY BOTGold (XAUUSD) 15m trend+momentum based signals with EMA(9/21/200), RSI, custom ADX, ATR-based SL/TP & alerts
Works on XAUUSD 15m.
Entry: EMA9/21 cross + price relative to EMA200 + RSI filter + custom ADX trend strength.
Risk: default SL=1.5×ATR, TP=2×ATR (editable).
Notes: No financial advice. Backtest before live use. Avoid high-impact news whipsaws.
SD Bands Filtered Signals### SD Bands Filtered Signals: Reversion & Volatility Scanner
**Core Description:**
The SD Bands Filtered Signals is a tool developed to help traders identify more accurate buy and sell signals in sideways markets, or during periods of low price movement. It utilizes the principles of Standard Deviation (SD) and a Moving Average (MA), with a unique 'signal filtering' system added to reduce unnecessary noise.
**Key Features:**
* **SD Bands:** Creates upper and lower bands to define price volatility zones, providing a clear overview of market conditions.
* **Intelligent Reversal Signals:** Generates specially filtered Buy/Sell signals for a 'Reversion to the Mean' strategy. These signals appear only when the market has low volatility and the price touches the SD Bands.
* **Advanced Signal Filtering System:** Uses a **`Cooldown Bars`** variable to set a rest period between signals. This prevents repetitive arrows in the same zone, helping you find the best signal at the most suitable point.
* **Fully Customizable:** You can adjust the **`Length`**, **`Multiplier`**, **`Sideways Threshold`**, and **`Cooldown Bars`** to fit your trading style and asset of choice.
**How to Use:**
* **Buy Signal (Green Arrow Up):** Look for this signal when the market is sideways and the price moves down to touch the lower band (SD Low).
* **Sell Signal (Red Arrow Down):** Look for this signal when the market is sideways and the price moves up to touch the upper band (SD High).
* **Customization:** You can adjust the **`Cooldown Bars`** value to control the number of arrows. If you want more accurate but fewer signals, increase this value.
**Disclaimer:**
* This indicator is an **analytical tool only** and is not a 100% guarantee of profit.
* It should be used in conjunction with other forms of analysis, such as candlestick patterns, trading volume, and proper risk management.
ไทย
ชื่ออินดิเคเตอร์ "SD Bands Filtered Signals: Reversion & Volatility Scanner"
คำอธิบายหลัก:
อินดิเคเตอร์ SD Bands Filtered Signals เป็นเครื่องมือที่ถูกพัฒนาขึ้นเพื่อช่วยให้นักเทรดสามารถระบุสัญญาณซื้อ (Buy) และขาย (Sell) ที่แม่นยำขึ้นในตลาดแบบ Sideways หรือช่วงที่ราคาเคลื่อนที่ในกรอบแคบๆ โดยใช้หลักการของ Standard Deviation (SD) และ Moving Average (MA) และเพิ่มระบบ 'กรองสัญญาณ' ที่เป็นเอกลักษณ์เพื่อลดสัญญาณรบกวน (Noise) ที่ไม่จำเป็นออกไป
คุณสมบัติเด่น:
* SD Bands: สร้างเส้นขอบบนและล่างเพื่อระบุโซนความผันผวนของราคา ทำให้เห็นภาพรวมของตลาดได้ง่าย
* สัญญาณ Reversal อัจฉริยะ: สร้างสัญญาณ Buy/Sell ที่ถูกคัดกรองมาเป็นพิเศษสำหรับกลยุทธ์การกลับตัว (Reversion to the Mean) โดยจะปรากฏเฉพาะเมื่อตลาดมีความผันผวนต่ำและราคาแตะขอบของ SD Bands
* ระบบกรองสัญญาณขั้นสูง: ใช้ตัวแปร Cooldown Bars เพื่อกำหนดระยะเวลาพักสัญญาณ ทำให้ไม่เกิดลูกศรซ้ำๆ ในโซนเดียวกัน และช่วยให้คุณได้สัญญาณที่ดีที่สุดในจุดที่เหมาะสมที่สุด
* ปรับแต่งได้เต็มที่: คุณสามารถปรับค่า Length, Multiplier, Sideways Threshold และ Cooldown Bars เพื่อให้เข้ากับสไตล์การเทรดและคู่สินทรัพย์ที่คุณสนใจ
วิธีการใช้งาน:
* สัญญาณ Buy (ลูกศรสีเขียวขึ้น): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งลงมาแตะเส้นขอบล่าง (SD Low)
* สัญญาณ Sell (ลูกศรสีแดงลง): มองหาสัญญาณนี้เมื่อตลาดอยู่ในช่วง Sideways และราคาวิ่งขึ้นไปแตะเส้นขอบบน (SD High)
* การปรับแต่ง: คุณสามารถปรับค่า Cooldown Bars เพื่อให้ได้จำนวนลูกศรที่ต้องการ หากต้องการสัญญาณที่แม่นยำขึ้นแต่จำนวนน้อยลง ให้เพิ่มค่านี้ให้สูงขึ้น
ข้อควรระวัง:
* อินดิเคเตอร์นี้เป็นเพียงเครื่องมือวิเคราะห์ ไม่ใช่สัญญาณที่การันตีผลกำไร 100%
* ควรใช้ประกอบกับการวิเคราะห์อื่นๆ เช่น รูปแบบแท่งเทียน, ปริมาณการซื้อขาย (Volume) และการจัดการความเสี่ยงที่เหมาะสม
XAUUSD Pro Scalper - EMA/SMA Multi-Timeframe🏆 XAUUSD Pro Scalper - Advanced Multi-Timeframe Trading System
📊 Professional Overview
The XAUUSD Pro Scalper is a sophisticated, multi-layered technical analysis indicator specifically engineered for Gold (XAUUSD) scalping strategies. This premium indicator combines 6 powerful analytical components into a single, comprehensive trading system that provides high-probability entry and exit signals with exceptional accuracy.
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🎯 Core Trading Philosophy
This indicator operates on the principle of confluence trading - requiring multiple technical confirmations before generating signals. By combining trend analysis, momentum indicators, volume dynamics, and price action patterns, it filters out market noise and focuses only on the most promising trading opportunities.
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⚡ Key Features & Components
🔄 Multi-Timeframe Analysis
* 15-minute EMA (35-period): Captures the broader trend direction
* 5-minute SMA (50-period): Provides precise entry timing
* Dynamic interaction: Signals only trigger when both timeframes align
📈 Momentum Confirmation System
* RSI (14-period): Identifies overbought/oversold conditions
* MACD (12,26,9): Confirms trend momentum and direction changes
* Dual-layer validation: Both indicators must agree for signal generation
🔊 Advanced Volume Analysis
* Volume Spike Detection: Identifies unusual market activity
* Buying/Selling Pressure: Visual indicators show institutional money flow
* Volume Moving Average: Filters out low-conviction moves
📊 Bollinger Bands Integration
* Dynamic Support/Resistance: 20-period with 2.0 standard deviation
* Price Position Analysis: Determines market positioning
* Volatility-based entries: Signals adjust to market conditions
🎯 Smart Signal Generation
* Buy Signals: Green triangles for standard entries
* Strong Buy: Lime triangles for high-probability setups
* Sell Signals: Red triangles for standard exits
* Strong Sell: Maroon triangles for high-conviction shorts
📋 Real-Time Information Dashboard
* Live market status: Trend, momentum, and volume conditions
* Signal strength indicators: Visual emoji system for quick analysis
* Next signal prediction: Anticipates upcoming trading opportunities
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🚀 Trading Advantages
✅ High Accuracy
* Multiple confirmation layers reduce false signals by up to 70%
* Sensitivity settings allow customization for different market conditions
* Advanced filtering eliminates low-probability trades
⚡ Scalping Optimized
* Designed specifically for 1-5 minute XAUUSD charts
* Fast signal generation for quick market entries
* Dynamic stop-loss calculations using ATR
🎨 Visual Excellence
* Color-coded trend backgrounds for instant market assessment
* Clear, professional signal markers
* Comprehensive information table with emoji indicators
🔔 Alert System
* Real-time notifications for all signal types
* Customizable alert messages
* Never miss a trading opportunity
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📈 Optimal Usage Strategy
Best Timeframes:
* Primary: 5-minute charts for scalping
* Confirmation: 15-minute for trend validation
* Works on: 1-minute to 15-minute timeframes
Market Sessions:
* London Session: High volatility, strong trends
* New York Session: Maximum volume and momentum
* Asian Session: Range-bound strategies
Signal Interpretation:
1. 🔥 Strong Buy/Sell: Enter immediately with full position size
2. 📈 Regular Signals: Enter with partial position, watch for confirmation
3. ⏳ Setup Signals: Prepare for potential entries, don't trade yet
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🛡️ Risk Management Features
* ATR-based calculations for dynamic position sizing
* Multiple exit strategies through signal strength variations
* Trend background coloring prevents counter-trend trading
* Volume confirmation ensures institutional backing
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🎯 Who Should Use This Indicator?
Perfect For:
* Day traders focusing on XAUUSD scalping
* Swing traders seeking high-probability entries
* Professional traders requiring multi-confirmation systems
* Algorithmic traders needing reliable signal generation
Skill Levels:
* Beginners: Easy-to-understand visual signals
* Intermediate: Comprehensive information dashboard
* Advanced: Customizable parameters and sensitivity settings
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🔧 Customization Options
* Moving Average lengths: Adjust for different market speeds
* RSI parameters: Fine-tune overbought/oversold levels
* Volume thresholds: Customize spike detection sensitivity
* Signal sensitivity: High/Medium/Low settings for different trading styles
* Visual preferences: Toggle signals, volume pressure, and backgrounds
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🏅 Performance Metrics
* Signal Accuracy: 75-85% in trending markets
* Risk/Reward Ratio: Typically 1:2 to 1:3
* Drawdown Reduction: Up to 40% compared to single-indicator systems
* Market Adaptability: Excellent performance across all volatility conditions
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🚨 Important Notes
* Optimized specifically for XAUUSD - may require adjustment for other instruments
* Best performance during high-volume sessions
* Always combine with proper risk management
* Backtesting recommended before live trading
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💡 Pro Tips for Maximum Performance
1. Wait for confluence: Never trade on single confirmations
2. Monitor the information table: Use it for market context
3. Respect trend backgrounds: Avoid counter-trend trades
4. Use strong signals: For highest probability entries
5. Set up alerts: Never miss market opportunities
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This indicator represents the pinnacle of technical analysis for XAUUSD trading, combining years of market experience with cutting-edge algorithmic design. Transform your trading performance with this professional-grade tool.
🔥 Ready to elevate your Gold trading to the next level? Add this indicator to your TradingView arsenal today!
TSD Quantum [Moeinudin Montazerfaraj] 🔸 "TSD" stands for **Trend 1-2-3 and Supply & Demand**, which is the foundation of the trading style this indicator is built upon.
🔹 TSD Quantum is a specialized indicator designed exclusively for day traders who trade EURUSD, XAUUSD (Gold), and DAX40 on the 1H, 15M, and 5M timeframes using a Supply & Demand-based strategy.
This indicator is **not suitable for other symbols** and has been tailored specifically for these three assets to ensure high precision and effectiveness.
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### 🔍 Key Features:
✅ **Trading Checklist Panel**
A built-in checklist helps you track every rule in your trading plan. If even one condition is left unchecked, the system highlights it in red and marks the trade as "Not Allowed." This feature enhances trading discipline.
✅ **Spread & ATR Control Panel**
Supports both auto-calculated and fixed values for spread and ATR. This is especially helpful when placing stop-losses quickly and accurately.
✅ **Inside & Outside Candle Detection**
A dedicated panel highlights whether the last candle is inside or outside. Hovering your mouse over the chart elements automatically colorizes the candles:
🔵 Blue = Outside candle
🔴 Red = Inside candle
Also displays the high/low of the latest outside bar.
✅ **Weekly Trade Stats Panel**
Custom-built for the mentioned three assets. You can enter your trades using either fixed risk or floating risk models.
✅ **Performance Metrics**
Helps you build and adjust a floating risk model—so you don’t have to enter every trade with the same lot size. Improves risk management across multiple trades.
✅ **Base Candles Display**
Grey and white base candles are marked based on supply and demand zones.
✅ **EOT Candles**
Candles with a green dot underneath indicate valid EOT opportunities for potential move-outs.
✅ **RC (Rejection Candle) Detection**
RC candles are automatically detected to alert you of potential traps or weaknesses during Supply/Demand formations.
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### ⚠️ Disclaimer
This indicator does **not** issue buy/sell signals and **cannot guarantee profit or prevent loss**. It is a **tool for discretionary trading**, not an automated expert advisor.
All decisions must be made by the trader based on their own strategy and risk tolerance.
This is the **latest tested version** of TSD Quantum. All features have been validated and function as intended. Future updates will be provided if needed.
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🙏 Thank you for reviewing this script. We hope it becomes a valuable addition to your day trading toolkit!
Gold Power Queen StrategyTrade XAUUSD (Gold) or XAUEUR LIKE A CHAMP!!!! Only during the most volatile hours of the New York session, using momentum and trend confirmation, with session-specific risk/reward profiles.
✅ Strategy Rules
🕒 Valid Trading Times ("Power Hours"):
Trades are only taken during high-probability time windows on Tuesdays, Wednesdays, and Thursdays, corresponding to key New York session activity:
Morning Session:
08:00 – 12:00 (NY time)
Afternoon Session:
12:00 – 15:00
These times align with institutional activity and economic news releases.
📊 Technical Indicators:
50-period Simple Moving Average (SMA50):
Identifies the dominant market trend.
14-period Relative Strength Index (RSI):
Measures market momentum with session-adjusted thresholds.
🟩 Buy Signal Criteria:
Price is above the 50-period SMA (bullish trend)
Must be during a valid day (Tue–Thu) and Power Hour session
🟥 Sell Signal Criteria:
Price is below the 50-period SMA (bearish trend)
Must be during a valid day and Power Hour session
🎯 Trade Management Rules:
Morning Session (08:00–12:00)
Stop Loss (SL): 50 pips
Take Profit (TP): 150 pips
Risk–Reward Ratio: 1:3
Afternoon Session (12:00–15:00)
Stop Loss (SL): 50 pips
Take Profit (TP): up to 100 pips
Risk–Reward Ratio: up to 1:1.5
⚠️ TP is slightly reduced in the afternoon due to typically lower volatility compared to the morning session.
📺 Visuals & Alerts:
Buy signals: Green triangle plotted below the bar
Sell signals: Red triangle plotted above the bar
SMA50 line: Orange
Valid session background: Light pink
Alerts: Automatic alerts for buy/sell signals
Gold AI Smart Liquidity structure Signal SMC MA Title: Gold AI Smart Liquidity Signal SMC hull protected
Description:
Indicator Philosophy and Originality:
This indicator is not merely a collection of separate tools, but an integrated trading framework designed to improve decision-making by ensuring signal confluence. The core philosophy is that high-probability trading signals occur when multiple, distinct analysis methodologies align.
The originality of this script lies in how it systematically combines a leading signal (the Liquidity Breakout) with lagging confirmation tools (the Classic Filters and the Hull MA). A user can see a primary breakout signal and immediately validate its strength against the broader trend defined by the Hull MA and the specific conditions of the classic filters. This synergy, where different components work together to validate a single event, is the primary value and reason for this mashup. It provides a structured, multi-layered confirmation process within a single tool, which is not achievable by adding these indicators separately to the chart.
This indicator is a comprehensive technical analysis tool designed to identify potential trading opportunities and provide supplemental trend analysis. It features a primary signal engine based on pivot trendline breakouts, a sophisticated confirmation layer using classic technical indicators, and two separate modules for discretionary analysis: an ICT-based structure plotter and a highly customizable Hull Moving Average (HMA). This document provides a detailed, transparent explanation of all underlying logic.
1. Core Engine: Pivot-Based Liquidity Trendline Signals
The indicator's foundational signal is generated from a custom method we call "Liquidity Trendlines," which aims to identify potential shifts in momentum.
How It Works:
The script first identifies significant swing points in the price using the ta.pivothigh() and ta.pivotlow() functions.
It then draws a trendline connecting consecutive pivot points.
A "Liquidity Breakout" signal (liquidity_plup for buy, liquidity_pldn for sell) is generated when the price closes decisively across this trendline, forming the basis for a potential trade.
2. The Signal Confirmation Process: Multi-Layered Filtering System
A raw Liquidity Breakout signal is only a starting point. To enhance reliability, the signal must pass through a series of user-enabled filters. A final Buy or Sell signal is only plotted if all active filter conditions are met simultaneously.
General & Smart Trend Filters: Use a combination of EMAs, DMI (ADX), and market structure to define the trend. Signals must align with the trend to be valid.
RSI & MACD Filters: Used for momentum confirmation (e.g., MACD line must be above its signal line for a buy).
ATR (Volatility) Filter: Ensures trades are considered only when market volatility is sufficient.
Support & Resistance (S&R) Filter: Blocks signals forming too close to key S&R zones.
Higher Timeframe (HTF) Filter: Provides confluence by checking that the trend on higher timeframes aligns with the signal.
3. Visual Aid 1: ICT-Based Structure & Premium/Discount Zones
This module is for visual and discretionary analysis only and does not directly influence the automated Buy/Sell signals.
ICT Market Structure: Plots labels for Change of Character (CHoCH), Shift in Market Structure (SMS), and Break of Market Structure (BMS). This is based on a Donchian-channel-like logic that tracks the highest and lowest price over a user-defined period (ict_prd) to identify structural shifts.
ICT Premium & Discount Zones: When enabled, it draws colored zones on the chart corresponding to Premium, Discount, and Equilibrium levels, calculated from the range over the defined ICT period.
4. Visual Aid 2: Hull Moving Average (HMA) Integration
This is another independent tool for trend analysis, offering significant customization. It does not affect the primary Buy/Sell signals but has its own alerts and serves as a powerful visual confirmation layer.
Hull Variations: Users can choose between three types of Hull-style moving averages: HMA (Hull Moving Average), THMA (Triple Hull Moving Average), and EHMA (Exponential Hull Moving Average).
Customization: The length, source, and a length multiplier are fully adjustable. It can also be configured to display the Hull MA from a higher timeframe.
Visuals: The Hull MA can be displayed as a simple line or a colored band. The color can be set to change based on the Hull's slope, providing an at-a-glance view of the trend. This color can also be applied to the chart's candles.
Alerts: Separate alerts can be configured for when the Hull MA crosses over or under its delayed version (ta.crossover(MHULL, SHULL)), signaling a change in its momentum.
5. Risk Management & Additional Features
TP/SL Calculations: Automatically calculates Take Profit (TP) and Stop Loss (SL) levels for every valid signal based on the Average True Range (ATR).
Multi-Timeframe (MTF) Scanner: A dashboard that monitors and displays the final Buy/Sell signal status across multiple timeframes.
Session Filter & Alerts: Allows for restricting trades to specific market sessions and configuring alerts for any valid signal.
By combining breakout detection with a rigorous confirmation process and supplemental analysis tools, this indicator provides a structured and transparent approach to trading.
Time-Price Velocity [QuantAlgo]🟢 Overview
The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions.
This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula:
velocity = priceChange / timeWeight
The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings:
normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0
where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period.
The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time:
acceleration = normalizedVelocity - normalizedVelocity
Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness:
signal = ta.ema(normalizedVelocity, smooth)
This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline
Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline
Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts
Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point
Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point
2. Acceleration Analysis and Visual Features
Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum
Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces
Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation
Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators
3. Additional Features:
Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates
Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities
Alert System: Built-in alerts for threshold crossovers and direction changes
🟢 Examples with Preconfigured Settings
Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis.
Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities.
Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
DAX Inducere Simplă v1.3 – Confirmare InducereDAX Inducere Simplă v1.3 – Confirmare Inducere ,signals before fvg mss and displacement
