Algorithmic Trading
systems.
We build the control plane around fast strategies: market data pipelines, simulation harnesses, execution services, and the guardrails that keep speed from becoming operational debt.
The control view.
We build the control plane around fast strategies: market data pipelines, simulation harnesses, execution services, and the guardrails that keep speed from becoming operational debt.
What we can build.
StratProbe
Manual robustness testing in notebooks and one-off consultant reviews of backtests.
Initial release takes trade-log CSVs, runs Monte Carlo and walk-forward tests, and generates a paid PDF report.
$29/report or $99/mo unlimited
PolyRisk
Google Sheets position reconciliation and end-of-day broker statement review.
Version one launches with Alpaca and IBKR support, cash and equity views, and live drawdown alerting.
$199/mo
AlgoGuard
Brittle health-check scripts and manual market-open checks for silent API failures.
First release covers Alpaca monitoring, alert-only and flatten-at-market actions, and Slack plus SMS alerts.
$149/mo
Where real value opens.
Execution replay and kill-switch layer
Broker-dealer desks and systematic funds
When venue behavior degrades or feed quality slips, desks can see losses but cannot reconstruct the exact order path quickly enough.
A replayable execution control plane with throttles, kill switches, and incident context for risk and operations.
Research-to-production parity monitor
Quant platform leads
Promising strategies die between backtest and deployment because research assumptions and production conditions drift apart.
A validation harness that compares simulated and live behavior before capital is scaled into a strategy.
Venue degradation sentinel
Execution engineering and market structure teams
Exchange and vendor edge cases are tested too late, so desks absorb silent degradation until operators escalate.
A monitoring product that watches venue latency, reject patterns, and feed anomalies, then pages ops with explicit fallback actions.
Bodies that shape the field.
The system route.
Surface
Market data normalization pipelines
Pressure
Latency matters, but deterministic replay and operator control matter just as much.
Watchpoint
Research and production stacks have drifted so far apart that promising strategy results die during deployment.
Proof
Simulation and replay tooling that shortens the distance between research, deployment, and post-trade review.
Forces that warp the build.
Latency matters, but deterministic replay and operator control matter just as much.
Exchange connectivity and vendor feeds create brittle edge cases that have to be tested continuously.
Risk, compliance, and engineering all need visibility into why an order path behaved the way it did.
The hot path and the audit path both have to work under stress, not only in bench tests.
What tends to break first.
Research and production stacks have drifted so far apart that promising strategy results die during deployment.
Execution services are fast when calm, but opaque and hard to control when feed quality or venue behavior degrades.
Risk teams can see outcomes, but not the exact sequence of events that produced an order or a breach.
What remains after the engagement.
Simulation and replay tooling that shortens the distance between research, deployment, and post-trade review.
Execution gateways with explicit throttles, kill switches, and operator controls for bad market conditions.
A calmer control plane around low-latency systems so the desk can move quickly without normalizing fragility.
How we enter and leave.
Typical work includes research-to-production platform improvements, strategy deployment controls, exchange integration hardening, and post-trade tooling that risk teams can trust.
We optimize where the desk needs speed, but we keep the recovery path, throttling logic, and operational controls boring and explicit.
If this operating environment looks familiar, we can scope the first tranche of work, the control surface, and the delivery cadence.