Turn your trading rules into
exportable Python strategy packages.
A guided strategy engineering platform for self-directed Indian market traders. Define rules, import Pine Script, generate Python packages, and deploy with broker checklists and risk gates.
max_drawdown_pct: 2.5
daily_loss_limit_inr: 5000
position_sizing:
type: atr_based
atr_period: 14
risk_per_trade_pct: 1.0
instruments:
- NIFTY
- BANKNIFTY- strategy_pkg/
- historical_test.py
- src/main_backtest.py
- src/execution/live_guards.py
- strategy_config.yaml
- broker_config.example.yaml
- risk_config.yaml
- .env.example
- RISK_DISCLOSURE.md
How it works
Define or import rules
Use our visual builder or import existing Pine Script logic to define your entry and exit conditions.
Structure the strategy
Stockey turns your rules into a structured strategy record so assumptions, risk limits, and test inputs stay clear.
Generate Package
Download a self-hosted Python package with historical testing files, dry-run defaults, and example configuration values.
Prepare handoff
Use deployment guidance, broker setup checklists, and dry-run-first review before configuring your own environment.
Market coverage
Built for strategy design across Indian market segments. Broker historical-data availability can vary.
Equity Cash
Futures
Options
Multi-leg options
MCX Futures
Pine Script
Built for self-directed strategy engineering, not blind automation.
We provide the tools to build and package. You maintain control, oversight, and responsibility for the environment where you run it.
- No permanent broker-secret storage by default
- Generated packages default to dry-run mode
- Exported package starts with safety defaults
- Broker setup and static IP checklist included
- Historical test files and example configuration stay separate
- You own and host the exported Python code
Broker and deployment flow
Strategy Builder Wizard
A visual interface to piece together indicators, entry/exit logic, and risk parameters without writing boilerplate Python.
Pine Script to Python Package
Translate Pine Script ideas into structured Python historical testing and self-hosted export preparation.
Self-hosted deployment handoff
Guidance for reviewing your generated package, local setup values, VPS/static IP needs, and dry-run-first setup.