The Enhanced Combined Weighted RSI -> PROFABIGHI_CAPITAL

🌟 Overview

The Enhanced Combined Weighted RSI [Multi-Algorithm] → PROFABIGHI_CAPITAL indicator merges advanced RSI variants—weighted for dynamic inputs, machine learning-enhanced for pattern prediction, and median-based for outlier resistance—into a customizable composite oscillator for superior momentum detection.

It offers dual signal modes for flexible overbought/oversold or trend-following alerts, blending components via user weights to filter noise and sharpen reversals.

⚡ Signal Mode Settings

– Signal Mode: Choose between standard overbought/oversold thresholds or trend-following crossovers for adaptive signal generation.
– Long Threshold: Adjustable level above which bullish momentum is confirmed in trend mode.
– Short Threshold: Adjustable level below which bearish momentum triggers in trend mode.

🎯 Weighted RSI Settings

– RSI Weighting Method: Select volume-driven, momentum-adjusted, volatility-scaled, or reversion-focused weighting to emphasize market conditions in RSI computation.
– Moving Average Type: Pick from simple, exponential, or advanced smoothers like Hull or Arnaud Legoux for output refinement.
– WRSI Length: Core period for the weighted RSI base to balance sensitivity and stability.
– WRSI Smoothing Length: Additional averaging span to polish the weighted signal.

🧠 ML RSI Settings

– ML RSI Length: Base RSI period serving as input for machine learning augmentation.
– Enable KNN Machine Learning: Activate nearest-neighbor pattern matching to predict RSI based on historical similarities.
– K - Number of Neighbors: Count of closest past instances to average for enhanced prediction.
– Historical Period for KNN: Lookback bars for data pool in pattern recognition.
– ML Weight vs Standard RSI: Blending ratio favoring ML output over plain RSI.
– Number of Features: Quantity of inputs like momentum or deviation for distance calculations.

📈 Median RSI Settings

– Median RSI Length: RSI computation span applied to median-filtered prices for robustness.
– Median Period: Window for deriving median prices to mitigate outlier impacts.

⚖️ Weighting System

– Enable Weighted RSI: Toggle inclusion of the dynamic weighting variant in the composite.
– Enable ML RSI: Toggle machine learning augmentation for predictive depth.
– Enable Median RSI: Toggle median filtering for outlier-resistant signals.
– Weighted/ML/Median RSI Weights: Relative influences ensuring the blend sums to unity for balanced synthesis.

🎨 Visual Settings

– Color Scheme: Palette options from vibrant neon to subdued monochrome for lines and zones.
– Show Individual RSI Components: Overlay separate variant lines for component dissection.
– Overbought Level: Upper boundary for exhaustion signals in standard mode.
– Oversold Level: Lower boundary for rebound cues in standard mode.

📈 Combined RSI Calculation

– Dynamic Weighting: Tailors RSI sensitivity to volume surges, momentum bursts, volatility clusters, or reversion tendencies for context-aware readings.
– Machine Learning Layer: Employs KNN to scan historical patterns via multi-feature distances, averaging nearest neighbors for forward-looking adjustments.
– Median Filtering: Computes RSI on central-tendency prices to dampen erratic spikes.
– Weighted Fusion: Averages enabled variants proportionally, then smooths for a cohesive momentum proxy.

📡 Signal Generation

– Standard Mode: Flags overbought above upper threshold for sells, oversold below lower for buys, with extreme crosses for heightened alerts.
– Trend Mode: Generates long signals on upward threshold breaches, shorts on downward, maintaining direction until reversal.
– Crossover Logic: Triggers on composite line breaks of key levels, blending components for confirmed momentum shifts.

📉 Visualization

– Composite Line: Prominent trace shifting hues by momentum state, with optional faint overlays for variants.
– Reference Lines: Solid extremes, dashed midline, dotted neutrals for threshold navigation.
– Zone Fills: Subtle backgrounds tinting overbought red, oversold green, neutral gray for immersion.
– Candle Coloring: Overlays chart bars with signal tints for full-view alignment.
– Extreme Markers: Crosses at ultra-high/low levels for reversal emphasis.
– Info Table: Top-right summary of mode, composite value, component readings with weights, and current signal.

🚨 Alerts

– Trend Mode Long/Short: Notifies on directional threshold crosses for proactive positioning.
– Standard Overbought/Oversold: Warns on extreme level breaches for reversal trades.
– Midline Bullish/Bearish: Signals equilibrium shifts for trend confirmation.

✅ Key Takeaways

– Multi-algorithm fusion elevates RSI beyond basics, adapting to market nuances via weighting and ML.
– Dual modes balance caution with aggression for versatile signal timing.
– Component transparency and visuals decode the blend for confident interpretation.
– Customizable thresholds and schemes fit any timeframe or style.