Democratizing Quantitative Precision for Independent Investors
We build institutional-grade data pipelines, zero-lookahead backtesting engines, and automated broker execution middleware so self-directed investors can trade with mathematical discipline rather than emotional impulse.
Breaking the Broken Workflow
Most quantitative traders waste hours every week switching across 4 separate tools: screening on Finviz, testing logic in Python, tracking weights in Excel, and manually setting alarms to place orders on their broker. AlphaSteady unifies these separate steps into a streamlined, systematic quantitative workflow.
Data Integrity Over Overfitting
Anyone can curve-fit a 5-year backtest that shows a 200% annual return on paper. We prioritize ruthless reality: zero-lookahead point-in-time financial ingestion to prevent lookahead bias, 5 bps friction slippage modeling, and 1,000-path Monte Carlo stress tests to expose tail drawdowns before you trade live.
100% Non-Custodial Security
We strictly operate as a software technology provider. We never custody capital, manage funds, or touch client money. Your assets live securely in your own SIPC/FINRA-insured brokerage account. All automated rebalancing happens via client-authorized API execution tokens.
High-Performance Vector Engine
Engineered with a high-throughput institutional time-series architecture and vectorized quantitative backtesting engines. Computes decades of daily cross-sectional rebalances, drawdown curves, and Sharpe ratios in under 300 milliseconds directly in your browser.
Engine Specifications & Live Data Telemetry
Production metrics verified on our dedicated server cluster
Have questions or need custom institutional integration?
Reach out to our quantitative engineering team for API access, factor onboarding, or partnership inquiries.