Platform Overview
Infrastructure Built for Systematic Research
AlgoQuantFoundry is not a trading app — it is a research platform. Every component is designed to support disciplined, evidence-based strategy development.
Platform Modules
End-to-End Research Workflow
Six interconnected modules that cover the complete lifecycle from research hypothesis to validated strategy.
Strategy Research Engine
AvailableHypothesis-driven development
The core of the platform. AlgoQuantFoundry applies a structured scientific method to strategy development: formulate a testable market hypothesis, define explicit entry and exit rules, then systematically validate or refute the idea through data.
Key Capabilities
- Supertrend indicator research library
- Multi-parameter configuration support
- Strategy versioning and audit trail
- Instrument-specific configuration (Silver Futures SI)
- Annotation and hypothesis documentation
Backtesting & Analytics
AvailableHistorical performance validation
Evaluate strategies against years of historical futures data. The backtesting module generates comprehensive performance reports with trade-level granularity — not just headline returns.
Key Capabilities
- Full equity curve with drawdown overlay
- Profit factor, Sharpe ratio, Sortino ratio
- MAE/MFE trade-level analysis
- Walk-forward out-of-sample validation
- Monte Carlo robustness simulation
Risk Management Framework
AvailableCapital preservation as a first-class concern
Risk controls are embedded at every layer of the platform. No strategy proceeds without explicit stop-loss rules, position sizing constraints, and drawdown circuit breakers.
Key Capabilities
- Fixed-percentage stop-loss enforcement
- Volatility-adjusted position sizing
- Maximum drawdown circuit breakers
- Kelly-derived leverage constraints
- Multi-strategy portfolio risk aggregation
Analytics Dashboard
AvailableCentralised research monitoring
The dashboard consolidates all active research strategies into a single view — live performance metrics, equity curves, recent trade logs, and strategy comparison tables.
Key Capabilities
- Strategy performance cards (mock data)
- Interactive equity curve charts
- Recent trade log with P&L breakdown
- Cross-strategy comparison metrics
- Research status and notes panel
Paper Trading (Planned)
PlannedForward testing without real capital
The next major platform milestone. Strategies that pass backtesting and risk review will be forward-tested in a real-time simulated environment using live market data — zero real capital involved.
Key Capabilities
- Real-time data feed integration
- Automated signal generation and logging
- Simulated order execution and fills
- Live P&L tracking in paper mode
- Performance vs. backtest divergence analysis
Live Evaluation (Future)
FutureControlled, monitored live deployment
A future capability for strategies that have successfully completed paper trading validation. All live deployments will require extensive sign-off and will operate under strict capital and drawdown constraints.
Key Capabilities
- Broker integration (futures only)
- Hard capital limits and kill switches
- Real-time risk monitoring alerts
- Automated drawdown halt triggers
- Daily position and P&L reconciliation
Technology Approach
Built on Open, Auditable Foundations
AlgoQuantFoundry is built using transparent, well-established quantitative tools. No proprietary black-box signals. All strategy logic is explicit, documented, and auditable by design.
Ready to Follow the Research?
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