Algorithmic Trading Automation

From trading idea to auditable, automated strategy

We build production trading bots you can trust — with documented specs, tick-level backtests, and trade-by-trade evidence. MT5, TradingView, Python, or C++.

Trading chart with automated strategy signals and trade markers
Rule‑parity
Core promise
Your rules → spec → auditable trades
25+ years
Engineering
Professional software delivery
4+
Platforms
MT5, TradingView, Python, C++

Platforms we build on

MT5 (MQL5)

Expert Advisors with full logging and risk controls

TradingView

Pine Script indicators, strategies, and alert pipelines

Python

Research harnesses, backtesting engines, and ML pipelines

C++

Low-latency modules and performance-critical components

What every project includes

Signed specification

Rules, edge cases, and test cases documented before code is written.

Auditable backtests

Trade-by-trade logs showing which rule triggered and why.

Production code

Clean, documented, version-controlled code with risk controls.

Risk guardrails

Max loss limits, session filters, kill switches, and position guards.

Deployment support

Setup guidance, checklists, and handover documentation.

Optional AI/ML

Adaptive components with walk-forward validation — only when justified.

Auditable backtest results

Every trade logged with the rule that triggered it, the data it used, and the risk constraints that applied. Equity curves, drawdown analysis, and performance metrics included.

Backtest results dashboard with equity curve and trade-by-trade audit

How it works

1
Send materials

Screenshots, notes, rules, chat exports — anything.

2
Spec sprint

We write a structured spec. You approve before build.

3
Instrumented build

Code with per-trade logging and rule tagging.

4
Backtest audit

Results with documented assumptions and evidence.

5
Deploy + handover

Production deployment with full documentation.

Credentials

Toptal Verified Expert

Listed on Toptal's trading software and MT5 developer pages.

Stanford AI/ML

Teaching experience at Stanford SCPD in AI and machine learning.

Institutional + retail

Background spanning institutional trading systems, crypto/DeFi, and retail strategy automation.

Frequently asked questions

Ready to automate your strategy?

Send your notes, screenshots, or chat exports. We'll respond with a scoped proposal and timeline.

We build software — not investment advice. Risk disclaimer