01
Why 49% Win Rate Makes Money
Win rate is vanity. Expectancy is sanity. How a sub-50% strategy generates positive EV through proper TP:SL ratios.
Real-Time Monitoring
Sub-30ms heartbeat tracking across all VPS nodes. Live P&L, position updates, and system health.
AI-Powered Signals
Multi-timeframe regime detection with momentum, mean-reversion, and volatility models.
Risk Controls
Kelly-based position sizing, ATR trailing stops, circuit breakers, and daily loss limits.
Architecture
Distributed infrastructure across 3 VPS nodes with AI-powered decision making and sub-second execution.
SvelteKit
CDN + SSR
InterServer
Live Trading
SQLite
Trade Data
Kaleo AI
8 Agents
Hostinger
Orchestration
Hyperliquid
Exchange
4
Live Strategies
3
VPS Servers
24/7
Autonomous
8+
AI Agents
The System
A multi-strategy algo trading engine with institutional-grade risk management, built from scratch.
// EXECUTION
Trade Engine
Sub-second execution on Hyperliquid. Maker orders at 0.5bps. ATR trailing stops, position scaling, and automatic TP/SL placement.
// RISK
Kelly + Circuit Breakers
Fractional Kelly criterion sizing (25% of raw Kelly). Statistical circuit breakers using binomial distribution. 5% daily loss limit with global stop.
// INTELLIGENCE
Kaleo AI Agents
8 specialized AI agents with memory, learning, and self-improvement. LLM routing dispatches to cheapest suitable model per task.
War Stories
What I learned the hard way building and running live trading systems.
02
How I Lost Money on 1-Minute Signals
20,000 backtested trades later: anything below 4-hour timeframes is noise. The fees alone will eat you alive.
03
Building a Circuit Breaker After Getting Wrecked
Using binomial distribution to detect when losses exceed normal variance. The math behind knowing when to stop.
Want to learn how to build this?
Strategy teardowns, code walkthroughs, and live trading transparency.
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