Develop SHER Momentum CNC Trading System

Customer: AI | Published: 28.09.2025

SHER Momentum CNC Engine — Final Version + Profit Maximization Add-on (Smart High-speed Entry & Reversal Detection) 1. Core Strategy Recap Feature Description Timeframe 5-Minute (signal) + Tick-by-Tick (micro confirmation) + Daily (context) Pre-Momentum Engine Detects stealth accumulation 1–2 candles before breakout Trap Filters Avoids fake spikes using wick, delta, spread & speed anomalies Microstructure Confirmation Tick-by-tick delta, sweeps, queue imbalance, iceberg exhaustion Auto CNC Entry Angel One SmartAPI, ₹5,000 minimum per trade, entry-only SL & Targets Suggested & plotted; manual exits Chart UI Real-time overlays, tick panels, alerts Target Accuracy ~90% win rate on top 20–30 liquid stocks after tuning 2. Accuracy Boosters (Integrated) Booster Description Market Regime Filters Trade only during bullish index/breadth phases Symbol Optimization Focus on NIFTY100 / F&O high-volume stocks Multi-TF Alignment Daily trend + 5-min breakout sync Pre-Momentum Quality Scoring Sustained volume & absorption Advanced Trap Detection Speed, pullback, Time-of-Day filters Microstructure Refinement Delta divergence, sweep+QI combo, iceberg signals Symbol-wise Tuning RVOL, delta, buffers adjusted per symbol Dynamic Sizing + Trade Mgmt Bigger positions for A+ setups, smarter exits These refinements push the signal accuracy to approximately 90% for high-quality setups. 3. Profit Maximization Add-on Module This module focuses on increasing profit per winning trade and reducing losses per losing trade. A) Risk–Reward Structuring Minimum RR per trade: 1:2 Preferred RR: 1:2.5 to 1:3 Logical SL (VWAP/structure-based) Targets aligned to momentum potential (T1/T2/T3) B) Advanced Exit Management Exit Action T1 Book 30–40% at +1R Trail SL Move to cost after T1 T2 Book 40–50% at +2R T3 Let remainder run with trail C) Overtrading Control Limit to 2–4 high-quality trades/day Use signal scoring to select only A+ setups (score ≥ 80) Skip marginal entries D) Volatility & Signal Strength Based Sizing Signal Score Position Size 72–80 Base size (₹5k) 80–90 1.5× size 90+ 2× size (if liquidity allows) E) Selective Overnight Holding Hold overnight only for strong breakouts with sustained buying and favorable market context. Avoid overnight exposure during uncertain or weak setups. F) Symbol Performance Review Regular monthly or quarterly symbol-level performance tracking. Remove low-performing symbols, add new high-quality stocks. G) Institutional Footprint Confirmation Look for iceberg exhaustion, sweeps, and unusual depth imbalance to confirm institutional buying footprints. H) Slippage & Latency Control Use smart limit orders with controlled slip caps Avoid illiquid ticks Keep tick-to-order latency under 150 ms I) Real-Time Trade Health Dashboard Display live RR, institutional activity continuation, and momentum fade signals for active trades. Exit early on fading trades. J) Portfolio Heat Management Max 5–6 open CNC positions Max 2% total risk exposure at any time Avoid high correlation between active positions 4. Final Strategy Stats Metric Value Target Accuracy (Top Stocks) ~90% Average RR 1:2.5 – 1:3 Profit Factor 3.5 – 5.0 Max Open Trades 5–6 CNC positions Holding Period 1–3 sessions Risk Control Through heat mgmt + trap filters 5. Why This System Works High-accuracy entries using pre-momentum and tick confirmation Smart filtering for traps, regimes, and symbols Advanced trade management (RR, exits, sizing) Institutional confirmation for conviction Continuous tuning for symbol performance Precise order execution to minimize slippage 6. Technical Requirements for Freelancers Core System Real-time 5-minute and Tick-by-Tick data ingestion Pre-momentum and trap detection engine Microstructure confirmation (Delta, Sweep, QI, Iceberg detection) Breakout scanner and signal engine CNC Auto Entry integration (Angel One SmartAPI) Suggested SL/Target calculator and chart overlay Unusual activity alerts (volume spikes, sweeps, absorption) TradingView/Plotly-based chart dashboard Backend Stack Python (Pandas, AsyncIO, FastAPI) Real-time tick data WebSocket ingestion Efficient data structures (e.g., TimescaleDB, PostgreSQL, or ClickHouse) Angel One SmartAPI integration Low latency processing (<150ms tick-to-order) Frontend Stack React/Next.js TradingView Lightweight Charts or Plotly for visualization Real-time overlays: Entry, SL, Targets, VWAP, breakout bands Tick panels: Delta, trade-rate, depth imbalance, sweep markers Alert banners and historical event markers APIs /scan for signal scanning /overlay/{symbol} for chart data /tbt/{symbol} for tick metrics /autotrade/enable for CNC entry mode /trade/long for live Angel One CNC order placement Execution Logic Entry-only CNC auto orders Smart LIMIT orders with slippage control Manual exits (SL & Targets suggested only) Latency-optimized tick engine Additional Modules Profit Maximization module (exit logic, sizing, portfolio rules) Symbol performance tracking & tuning framework Replay backtesting harness with tick data Trade health monitoring dashboard 7. Final Deliverables Fully functional backend and frontend Real-time breakout & momentum detection engine Auto-entry CNC integration with Angel One Live chart dashboard with all overlays & panels Alerts and APIs for scanner & trading signals Backtesting and replay harness Complete documentation, Postman collection, configuration files Deployment guide and monitoring tools 8. Target Outcomes Consistent ~90% accuracy on selected top stocks High RR trades through structured exits Lower loss frequency through filtering and sizing Scalable architecture for future feature addition Clean, fast, professional-grade trading tool T&C The project should complete on time The payment should be done post confirmation of strategy works I.e the developer code perfectly accod8ng to the requirements The back testing of the code should be checked in live market The technical support should be minimum 3 months, if any change, will be carried out by the developer in same payment including additional code if required for success of the strategy Technical setup should be supported by developer Technical requirements to setup the strategy