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TRADING SYSTEMS · BUILT TO SPEC

Systematic trading, engineered to spec.

Algos, indicators, backtesters, risk engines, and execution infrastructure — built privately for quant traders and desks. You own the code. You run the strategy. I handle the engineering.

▸ WHAT THIS LOOKS LIKE · ILLUSTRATIVE
STRATEGY PERFORMANCE · ILLUSTRATIVE
SAMPLE OUTPUT
X-AXIS · TIMEY-AXIS · RELATIVE EQUITY
trader@pulse:~$
▸ LIVE · ABSTRACTED
ⓘ regime shift detected · parameters re-sampled
signal · ASSET-A · LONG · confidence 0.75
✓ exit · target hit · closed +2.72R
· monitoring · atr stop armed · trailing 1.3x
· monitoring · atr stop armed · trailing 2.5x
✓ entry accepted · risk engine OK · size 0.89R
· monitoring · atr stop armed · trailing 2.1x
ⓘ regime shift detected · parameters re-sampled
signal · ASSET-B · SHORT · confidence 0.91
✓ entry accepted · risk engine OK · size 0.42R
> Abstracted for public display · real systems are client-private
STRATEGY PIPELINE · ARCHITECTUREABSTRACTED FLOW
01SIGNALCONFLUENCE LOGIC02ML FILTERCLASSIFIER · CONFIDENCE03RISK ENGINEVOL-SIZED · CAPPED04EXECUTIONHARDENED · AUDITABLE
INPUT · MARKET DATA→ DELIVERED AS CLEAN CODE YOU OWN

> All charts, logs, and flow animations shown here are illustrative. Real systems are private to each client — no parameters, vendors, or performance data are ever disclosed publicly.

Quant traders

You have the edge. You need it coded, backtested, and productionised.

Prop desks & funds

Clean execution infrastructure, custom indicators, in-house risk systems.

Founders with an idea

Prove a thesis with rigorous backtests before risking capital on it.

> CAPABILITIES
Indicator & signal development

Custom indicators and multi-signal confluence logic built from scratch — not re-skinned TradingView templates. Designed for your instrument, timeframe, and thesis.

ML-filtered entries

Classifier models that filter candidate signals against historical data. Reduces false positives, improves signal-to-noise, keeps entries honest.

Risk engines & position sizing

Volatility-adjusted sizing, hard drawdown rules, kill-switches, per-trade and per-day limits. Risk is a first-class citizen, not a retrofit.

Backtesting infrastructure

Walk-forward backtests with proper out-of-sample splits, transaction cost modelling, and honest slippage. Results you can actually trust.

Execution & monitoring

Hardened deployment pipelines with alerting, health checks, and run-book documentation. Your strategy, running on your infrastructure — auditable and yours.

Tuning & post-launch ops

Optional monthly engagements for parameter reviews, regime detection, and strategy iteration as market conditions shift.

from $15K AUD
Strategy build + backtest
3–5 weeks · one-off
from $3K AUD/mo
Ongoing strategy engineering
Active dev · tuning · ops
from $1.5K AUD/mo
Advisory retainer
Review calls · architecture support
This is an engineering service. I build systems; I do not give financial advice, run managed money, or sell signals. Past performance of any system is never a guarantee of future results. Any strategy you run using these deliverables is at your own risk.
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