Backtests Executed
Strategies validated with institutional rigor
System Uptime
Enterprise-grade infrastructure reliability
Avg. Execution Latency
Optimized for high-frequency requirements
Platform Integrations
MT4/MT5, TradingView, Python frameworks
From strategy ideation to live deployment. Institutional-grade tools designed for traders who understand the statistics behind the returns.
Convert discretionary rules and indicators into robust algorithmic strategies.
MT4/MT5 EA development and optimization
Pine Script to production-grade Python
Legacy code refactoring and modernization
Rigorous validation with walk-forward analysis, Monte Carlo simulations, and stress testing.
Walk-forward optimization framework
Monte Carlo simulation (10,000+ paths)
Regime-specific performance analysis
Multi-strategy correlation analysis, position sizing, and portfolio-level risk management.
Correlation matrix and diversification analysis
Kelly criterion and fractional sizing
Value at Risk (VaR) and CVaR modeling
Low-latency deployment, order routing, and execution monitoring systems.
FIX protocol integration
Smart order routing (SOR)
Slippage analysis and optimization
Custom strategy development, factor research, and systematic signal generation.
Alpha factor research and validation
Machine learning model development
Alternative data integration
Real-time risk monitoring, drawdown controls, and circuit breakers for live trading.
Real-time P&L and exposure tracking
Automated circuit breakers
Correlation-adjusted position limits
Tailored solutions for each stage of trading sophistication — from funded trader evaluations to institutional portfolio management.
Pass evaluations consistently. Automate your proven discretionary edge with strict risk controls.
COMMON CHALLENGES:
Need consistent rule execution without emotion
Must maintain strict risk parameters (daily loss limits, max drawdown)
Want to scale multiple accounts efficiently
Require backtested validation before live deployment
OUR SOLUTIONS:
Convert proven manual strategies to automated EAs
Built-in prop firm risk controls (daily loss, drawdown limits)
Multi-account management and scaling framework
Walk-forward testing on funded account constraints
Transform your trading rules into systematic strategies. Eliminate emotion, improve consistency.
COMMON CHALLENGES:
Inconsistent execution of proven setups
Emotional decision-making under pressure
Missing trades due to screen time constraints
Lack of statistical validation of edge
OUR SOLUTIONS:
Discretionary-to-systematic strategy translation
Backtesting to validate historical edge
24/7 automated execution on proven setups
Performance analytics and optimization
Professional-grade backtesting, optimization, and deployment infrastructure for serious algo developers.
COMMON CHALLENGES:
Limited backtesting capabilities and data quality
Overfitting and curve-fitting concerns
Need for walk-forward and Monte Carlo validation
Complex multi-strategy portfolio construction
OUR SOLUTIONS:
Institutional backtesting with tick-level accuracy
Walk-forward, Monte Carlo, stress testing suite
Portfolio correlation analysis and optimization
Low-latency execution infrastructure
Enterprise-grade infrastructure, custom research, and portfolio management for institutional requirements.
COMMON CHALLENGES:
Need for institutional-quality risk management
Multi-strategy portfolio construction
Regulatory reporting and compliance
Custom research and alpha generation
OUR SOLUTIONS:
Portfolio-level risk management and VaR analysis
Custom quantitative research and strategy development
Prime broker integration and execution
Performance attribution and reporting
Battle-tested templates, calculators, and frameworks used by professional traders. Download free, no credit card required.
PDF Checklist • 12 pages
A 47-point validation framework used by professional funds to avoid overfitting and validate true edge.
INCLUDES:
Data quality and survivorship bias checks
Walk-forward optimization framework
Monte Carlo simulation parameters
Out-of-sample validation methodology
Statistical significance testing
For: Algorithmic traders, funded traders
Notion Template + PDF • 24 pages
Step-by-step system design template covering everything from hypothesis generation to live deployment.
INCLUDES:
Hypothesis generation and market edge identification
Entry/exit logic documentation template
Risk management parameter selection
Position sizing calculations
Deployment checklist and go-live protocol
For: All traders transitioning to systematic
Excel + Google Sheets • Interactive tool
Excel model for multi-strategy correlation analysis, position sizing, and portfolio-level risk metrics.
INCLUDES:
Correlation matrix calculator
Kelly criterion position sizing
Value at Risk (VaR) computation
Monte Carlo portfolio simulation
Drawdown and recovery analysis
For: Multi-strategy traders, funds
Interactive PDF • 32 pages
Comprehensive reference guide covering 150+ terms in algorithmic trading, backtesting, and risk management.
INCLUDES:
Statistical terms and formulas
Backtesting methodology definitions
Risk metrics and their applications
Execution and market microstructure
Real-world examples and use cases
For: All traders
We're building the quantitative tools we wished existed. Join the waitlist for early access, lifetime discounts, and influence on product direction.
Cloud-based backtesting platform with walk-forward optimization, Monte Carlo simulation, and tick-level accuracy.
KEY CAPABILITIES:
Walk-forward optimization engine with parallel processing
Monte Carlo simulation (10,000+ paths in minutes)
Multi-asset, multi-timeframe strategy testing
Regime detection and adaptive parameter selection
Export-ready reports for prop firms and investors
PRODUCT DETAILS:
Target Users
Algo traders, funded traders, strategy developers
Expected Pricing
$49/month
Launch Timeline
Q2 2026
Early Access Benefit
50% lifetime discount + priority feature requests
Real-time portfolio risk management with correlation-adjusted position sizing and automated rebalancing.
KEY CAPABILITIES:
Real-time correlation matrix for multi-strategy portfolios
Dynamic position sizing based on volatility and correlation
Portfolio-level VaR and CVaR monitoring
Automated strategy allocation and rebalancing
API integration with major brokers and platforms
PRODUCT DETAILS:
Target Users
Multi-strategy traders, small funds, family offices
Expected Pricing
$199/month
Launch Timeline
Q3 2026
Early Access Benefit
Founding member rate locked in for 3 years