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, review historical tests, prepare self-hosted package exports, and use broker checklists for user-controlled handoff.
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.
Review package export
Review the expected self-hosted Python package structure 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.
Package export direction stays self-hosted and user-controlled.
Public package direction may range from a bare Python package to planned local UI and later advanced self-hosted runtime options, while Stockey SaaS stays outside live order placement and broker-account operation.
Bare Python package
A technical export path for users who want scripts, configs, .env.example, dependency notes, and command-line historical testing.
Self-hosted package options
Export paths are designed around user-owned artifacts, local credentials, dry-run-first defaults, and live disabled by default.
Planned local UI option
Later package options may include a local app and launcher while credentials and runtime decisions remain user-controlled.
Later advanced runtime
Advanced self-hosted runtime packages are planned for later phases; Stockey SaaS does not place orders or operate broker accounts.
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
- Planned package exports keep dry-run defaults
- 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, export, and runtime 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 package contents, local setup values, VPS/static IP needs, and dry-run-first setup.