Our Technology

A new category of systematic trading.

Research-backed algorithmic futures strategies — signal generation, portfolio construction, and automated execution in one platform. No black-box hype. No DIY infrastructure maze. Just disciplined systems you can evaluate and run.

Why It Matters

Building a live algo stack is expensive, fragile, and hard to trust.

Systematic trading can remove emotion from execution. The problem is everything required to research, validate, and operate strategies at market speed.

Cost

Research and infra stack up fast

Data, compute, co-lo adjacency, and engineering talent make institutional-grade automation out of reach for most individual traders.

Access

Signals without an execution path

Many tools stop at alerts. Turning a signal into reliable, session-aware futures execution is a different problem entirely.

Trust

Curve-fit stories travel farther than truth

Without out-of-sample testing and live monitoring, attractive backtests can hide overfitting and regime fragility.

Risk

Ops failures become P&L events

Missed heartbeats, stuck orders, and unbounded size turn technical issues into capital events when controls are missing.

The Platform

Two integrated capabilities. One systematic book.

Strategy research pipeline from hypothesis to catalog

Component 01

Strategy research engine

A pipeline that turns market hypotheses into validated futures strategies — with clear assumptions, risk envelopes, and published diagnostics before go-live.

Walk-forward and out-of-sample validation
Regime-aware robustness checks
Documented entry, exit, and sizing rules
Catalog ready for allocation — not just charts

Component 02

Execution & risk services

Live automation that routes orders, respects session boundaries, and enforces risk limits — with humans able to intervene when markets demand it.

Broker-connected automated execution
Position, loss, and exposure limits
Heartbeat monitoring and fail-safes
Live performance and audit trails

Backtests Completed

Years of data analyzed

Current users

Automation in trading

Applications

Strategy styles built for liquid futures markets.

Trend

Directional momentum

Capture persistent moves across index, rates, and commodity futures with rules that define when to stay flat.

Mean Reversion

Short-horizon dislocations

Fade stretched moves where liquidity and microstructure support a defined exit — not open-ended hope.

Volatility

Regime-aware exposure

Adjust risk when realized and implied conditions shift, so sizing reflects the market you are actually in.

Multi-Strategy

Diversified systematic books

Combine uncorrelated strategy sleeves to smooth equity curves without abandoning rules-based discipline.

Research Rigor

Performance depends not only on signals, but on how strategies are tested, deployed, and supervised once capital is live.

Walk-forward validation windows and research metrics

// 01

Define the hypothesis

Every strategy starts with a clear market thesis, tradable universe, and risk constraints — before a single parameter is fit.

// 02

Validate out of sample

Walk-forward tests and holdout periods stress the idea across regimes so we measure generalization, not memorization.

// 03

Paper, then promote

Candidates run in simulated or limited live conditions with the same risk stack they will use at full size.

// 04

Monitor and retire

Live diagnostics feed research. Strategies that lose edge are paused or retired — not left on autopilot.

See what Crossbow can do in your book.

Contact our team for a strategy walkthrough or waitlist access.