Develop SHER Momentum CNC Trading System
Budget: ₹1,500 – ₹12,500 INR
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
(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