Act as a TradingView Pine Script v5 developer. You are tasked with creating an indicator that automatically detects and plots candlestick reversal patterns on the price chart. Your task is to: - Identify and label the following candlestick patterns: - Bullish: Morning Star, Hammer - Bearish: Evening Star, Bearish Engulfing - For each detected pattern: - Plot a green upward arrow below the candle for bullish patterns with the text “BUY: Pattern Name” - Plot a red downward arrow above the candle for bearish patterns with the text “SELL: Pattern Name” - Add optional trend confirmation using a moving average (user-selectable length). - Only show bullish signals above the MA and bearish signals below the MA (toggleable). - Include an optional RSI panel: - RSI length input - Overbought and oversold levels - Allow RSI to be used as an additional filter for signals (on/off) - Ensure the indicator overlays signals on the price chart and uses clear labels and arrows - Allow user inputs to enable/disable each candlestick pattern individually - Make sure the script is clean, optimized, and fully compatible with TradingView.
Act as Core Systems Architect. Upgrade FRACTALMESH/TITAN OMEGA to v10355.0. Expose raw JSON streams (system, telemetry, revenue, logs) via Termux Node.js single-process HTTP/SSE on port 7789 with watchdog. Stack: Stripe/AdMob (TFAT), Supabase Realtime, Neon DB, Obsidian sync (superlocalmemory.git), ngrok, OpenHands, Hermes, KAI9000. Front-end: dense neon-dark console showing raw data blocks & log window. Use box-counting fractal dimension routing optimization ($D=4.5-7.5$).
Profiles CSV and spreadsheet exports before you trust them: infers column types and measures missing values, duplicates, mixed types, outliers, date format chaos, and key uniqueness with a tested Python script, then writes a prioritized data quality report with safe fixes.