RPDI
SYS:ONLINE | Houston, TX · Operator-led, AI-accelerated

F3rb0t

Autonomous ML-Powered Trading System

System telemetry
T+00 5 ML Phases
T+01 24/7 Autonomous Operation
T+02 A/B/C Confidence Grading
Engineering Stack
PythonReactWebSocketML EnsembleTelegram API
01 The Challenge

Manual crypto trading is emotionally driven, inconsistent, and impossible to scale across multiple timeframes. Traders miss opportunities 24/7 while struggling to backtest strategies with any statistical rigor.

02 The Solution

Engineered a fully autonomous 5-phase adaptive trading system: regime detection identifies market conditions, ML ensemble generates signals graded A/B/C by confidence, position sizing enforces risk management, a self-evolving mutation engine optimizes parameters over time, and Monte Carlo simulations validate strategy durability before risking capital.

Measured Impact

Outcome in Numbers.

5 ML Phases
24/7 Autonomous Operation
A/B/C Confidence Grading
Live Paper + Production

Infrastructure

Systems Deployed.

01

ML ensemble with market regime detection

02

5-phase adaptive parameter evolution

03

Real-time WebSocket trading dashboard

04

Telegram bot with instant trade alerts

05

Paper trading with full market simulation

06

A/B/C signal confidence grading system

07

Risk management with dynamic position sizing

08

Monte Carlo analysis & portfolio stress testing

Next Operation

Ready for Deployment?

Every project starts with a 30-minute engineering discovery call. Zero sales pitches — just an honest assessment of your challenge.