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מעודכן Grok's xAI Signal (GXS) Indicator for BTC V4
Overview
The "Grok's xAI Signal (GXS) Indicator for BTC V4" is a custom technical analysis tool for TradingView, optimized for Bitcoin (BTC) charts. It overlays on the price pane and produces buy/sell signals via a "GXS Score" that integrates technical indicators, an on-chain proxy, and a trend regime filter. This indicator identifies bullish/bearish setups in trending markets while filtering out noise in ranging conditions.
As an indicator (not a strategy), it emphasizes visualization: EMAs, clouds, arrows with price labels, background colors, and an optional score table. No automated trades or backtests—focus on alerts and manual insights.
Core approach:
Composite scoring: Normalizes inputs from momentum (RSI, MACD), trend (EMAs, ADX), volatility (BB), and NVT proxy into a -1 to +1 score.
Regime filter: Signals only when ADX indicates a trend.
BTC-tuned: Uses volume/close for on-chain signals, leveraging crypto data.
Ideal for 1H, 4H, or 1D BTC/USD charts.
GXS Score: Reasoning and Composition
At the heart of the indicator is the GXS Score, a weighted composite designed to capture multifaceted market dynamics while prioritizing reliability in volatile assets like BTC. The reasoning stems from an xAI-inspired philosophy: blend diverse signals to mitigate individual indicator biases, emphasize technical momentum for short-term edges, incorporate on-chain fundamentals for longer-term context, and apply a regime filter to avoid over-trading in choppy conditions. This creates a robust, normalized score (-1 bearish to +1 bullish) that triggers signals only on crossovers in confirmed trends, reducing false positives.
The score is built hierarchically:
Technical Sub-Score (50% weight): Averages four normalized components (-1 to +1) for broad coverage:
RSI (momentum oscillator): +1 for oversold (deep value buys), -1 for overbought (exhaustion sells). Rationale: Captures mean-reversion extremes, crucial in BTC's boom-bust cycles.
MACD (trend momentum): +1 for bullish histogram/line crossover, -1 for bearish. Extra 10% boost in final score for its sensitivity to divergences, providing early reversal hints.
EMA Stack (trend alignment): +1 if price > fast EMA > slow EMA (bull stack), -1 otherwise. Justifies trend persistence without lag, filtering noise in sideways markets.
Bollinger Bands (volatility context): +0.5/-0.5 during squeezes (width <10%) if price above/below basis. Logic: Low volatility precedes breakouts; this adds directional bias to potential expansions, vital for BTC's explosive moves.
This 50% allocation reflects technicals' proven edge in price prediction, averaged to smooth outliers.
On-Chain Sub-Score (30% weight): +0.5 if NVT proxy (smoothed volume/price turnover) < 50-period SMA, -0.5 otherwise, scaled by regime. Why on-chain? BTC's value ties to network health; low NVT signals undervaluation (high utility relative to cap), countering hype-driven pumps. Scaled weighting acknowledges data limitations but adds fundamental depth.
Regime Boost (10% weight): Direct +0.1 from ADX > threshold (trending binary). Purpose: Amplifies scores in directional markets (ADX ~20+), where trends persist, while damping in ranges to prevent whipsaws—aligning with empirical evidence that most profits come from trends, not oscillations.
Final formula: 0.5 * tech_avg + 0.3 * onchain + 0.1 * regime + 0.1 * macd. Weights are empirically tuned: heavy on tech for reactivity, balanced with on-chain for sustainability, and regime/MACD for confirmation. This avoids over-reliance (e.g., no single indicator dominates) and promotes confluence, making signals more actionable than isolated crossovers.
Tips
Use 4H/1D for BTC to leverage trend strength; enable the score table for live tracking of GXS value against thresholds.
Adjust thresholds (e.g., +0.3/-0.3) or ADX to 25+ for fewer, higher-quality signals.
Customize visuals: Hide EMAs/clouds in volatile periods; use small arrows for clean charts; always enable price labels for entry precision.
Set up alerts early—combine with webhooks for automated bots; test on historical data to align with your risk tolerance.
For confluence, pair with volume spikes or external news; monitor regime shifts via the table to avoid ranging-market traps.
The "Grok's xAI Signal (GXS) Indicator for BTC V4" is a custom technical analysis tool for TradingView, optimized for Bitcoin (BTC) charts. It overlays on the price pane and produces buy/sell signals via a "GXS Score" that integrates technical indicators, an on-chain proxy, and a trend regime filter. This indicator identifies bullish/bearish setups in trending markets while filtering out noise in ranging conditions.
As an indicator (not a strategy), it emphasizes visualization: EMAs, clouds, arrows with price labels, background colors, and an optional score table. No automated trades or backtests—focus on alerts and manual insights.
Core approach:
Composite scoring: Normalizes inputs from momentum (RSI, MACD), trend (EMAs, ADX), volatility (BB), and NVT proxy into a -1 to +1 score.
Regime filter: Signals only when ADX indicates a trend.
BTC-tuned: Uses volume/close for on-chain signals, leveraging crypto data.
Ideal for 1H, 4H, or 1D BTC/USD charts.
GXS Score: Reasoning and Composition
At the heart of the indicator is the GXS Score, a weighted composite designed to capture multifaceted market dynamics while prioritizing reliability in volatile assets like BTC. The reasoning stems from an xAI-inspired philosophy: blend diverse signals to mitigate individual indicator biases, emphasize technical momentum for short-term edges, incorporate on-chain fundamentals for longer-term context, and apply a regime filter to avoid over-trading in choppy conditions. This creates a robust, normalized score (-1 bearish to +1 bullish) that triggers signals only on crossovers in confirmed trends, reducing false positives.
The score is built hierarchically:
Technical Sub-Score (50% weight): Averages four normalized components (-1 to +1) for broad coverage:
RSI (momentum oscillator): +1 for oversold (deep value buys), -1 for overbought (exhaustion sells). Rationale: Captures mean-reversion extremes, crucial in BTC's boom-bust cycles.
MACD (trend momentum): +1 for bullish histogram/line crossover, -1 for bearish. Extra 10% boost in final score for its sensitivity to divergences, providing early reversal hints.
EMA Stack (trend alignment): +1 if price > fast EMA > slow EMA (bull stack), -1 otherwise. Justifies trend persistence without lag, filtering noise in sideways markets.
Bollinger Bands (volatility context): +0.5/-0.5 during squeezes (width <10%) if price above/below basis. Logic: Low volatility precedes breakouts; this adds directional bias to potential expansions, vital for BTC's explosive moves.
This 50% allocation reflects technicals' proven edge in price prediction, averaged to smooth outliers.
On-Chain Sub-Score (30% weight): +0.5 if NVT proxy (smoothed volume/price turnover) < 50-period SMA, -0.5 otherwise, scaled by regime. Why on-chain? BTC's value ties to network health; low NVT signals undervaluation (high utility relative to cap), countering hype-driven pumps. Scaled weighting acknowledges data limitations but adds fundamental depth.
Regime Boost (10% weight): Direct +0.1 from ADX > threshold (trending binary). Purpose: Amplifies scores in directional markets (ADX ~20+), where trends persist, while damping in ranges to prevent whipsaws—aligning with empirical evidence that most profits come from trends, not oscillations.
Final formula: 0.5 * tech_avg + 0.3 * onchain + 0.1 * regime + 0.1 * macd. Weights are empirically tuned: heavy on tech for reactivity, balanced with on-chain for sustainability, and regime/MACD for confirmation. This avoids over-reliance (e.g., no single indicator dominates) and promotes confluence, making signals more actionable than isolated crossovers.
Tips
Use 4H/1D for BTC to leverage trend strength; enable the score table for live tracking of GXS value against thresholds.
Adjust thresholds (e.g., +0.3/-0.3) or ADX to 25+ for fewer, higher-quality signals.
Customize visuals: Hide EMAs/clouds in volatile periods; use small arrows for clean charts; always enable price labels for entry precision.
Set up alerts early—combine with webhooks for automated bots; test on historical data to align with your risk tolerance.
For confluence, pair with volume spikes or external news; monitor regime shifts via the table to avoid ranging-market traps.
הערות שחרור
Added the scoring bar on the bottom which can be toggled on or off in settings. Green for bullish, red for bearish and grey for neutralסקריפט קוד פתוח
ברוח TradingView אמיתית, היוצר של הסקריפט הזה הפך אותו לקוד פתוח, כך שסוחרים יכולים לבדוק ולאמת את הפונקציונליות שלו. כל הכבוד למחבר! למרות שאתה יכול להשתמש בו בחינם, זכור שפרסום מחדש של הקוד כפוף לכללי הבית שלנו.
כתב ויתור
המידע והפרסומים אינם אמורים להיות, ואינם מהווים, עצות פיננסיות, השקעות, מסחר או סוגים אחרים של עצות או המלצות שסופקו או מאושרים על ידי TradingView. קרא עוד בתנאים וההגבלות.
סקריפט קוד פתוח
ברוח TradingView אמיתית, היוצר של הסקריפט הזה הפך אותו לקוד פתוח, כך שסוחרים יכולים לבדוק ולאמת את הפונקציונליות שלו. כל הכבוד למחבר! למרות שאתה יכול להשתמש בו בחינם, זכור שפרסום מחדש של הקוד כפוף לכללי הבית שלנו.
כתב ויתור
המידע והפרסומים אינם אמורים להיות, ואינם מהווים, עצות פיננסיות, השקעות, מסחר או סוגים אחרים של עצות או המלצות שסופקו או מאושרים על ידי TradingView. קרא עוד בתנאים וההגבלות.