MAULBOT
Quantitative trading & market intelligence

Quantitative trading, powered by market intelligence

MAULBOT is a quantitative trading and market-intelligence platform for US equities and futures. It unifies real-time and historical market data, market news, company financials, and macroeconomic data into a single research-and-execution engine — with systematic backtesting and automated risk management at its core.

Real-time & historical market dataMarket news & event flowCompany financials & fundamentalsMacroeconomic & rate dataSystematic backtestingRisk-managed live execution

Market snapshot

End-of-day reference prices for two broad US equity index ETFs. Delayed, and for informational purposes only.

QQQ
687.99
as of 2026-07-31
SPY
747.03
as of 2026-07-31

One engine, four kinds of data

Price, news, fundamentals, and macro — ingested continuously, aligned to a single timeline, and put to work by systematic research and risk-managed execution.

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Market data

Real-time and deep historical price data for US equities and futures — from daily bars down to the minute, with market depth and order-flow detail. Corporate actions such as splits and dividends are handled automatically, so every series is clean, continuous, and point-in-time accurate.

The raw material for honest backtests and live signals: what the market actually did, as it actually happened.

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Market news & events

A continuous stream of market-moving headlines and corporate events mapped to the symbols on the watchlist — earnings dates, guidance, and the news flow that drives intraday moves.

Context for every price move, and event-aware gating so strategies can step aside around scheduled catalysts.

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Company financials

Fundamentals and valuation for the equity universe — earnings history, growth and profitability metrics, and sector/industry classification — aligned to the same timeline as the price data.

Fundamental screens and filters that combine with technical signals instead of fighting them.

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Economic & macro data

The macro backdrop that moves every market at once: the interest-rate environment, key economic indicators, and the release calendar that sets the tone for risk.

Regime-aware positioning — the platform can read the environment, not just the ticker.

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Systematic backtesting

A research engine that replays strategies across decades of history with point-in-time discipline, realistic fills and costs, and walk-forward validation that guards against overfitting.

Fragile ideas are rejected cheaply in research — long before they would cost anything in the market.

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Risk-managed execution

Strategies that survive validation execute through integrated brokerage connections wrapped in automated, strategy-agnostic risk controls: volatility-based sizing, protective stops, and account-level circuit breakers.

Survival first. No single trade is ever allowed to matter very much.

Systematic by design

Every strategy is a written, testable rule set — an entry condition, an exit condition, a position size, and a risk limit. Ideas are validated against decades of historical market data with point-in-time discipline before any of them run live, and account-level risk controls sit around all of them.