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JayV42069/README.md

Hi, I'm Jay-Dee

Senior Full-Stack Engineer · AI Systems · Algorithmic Trading

I build production-grade trading infrastructure, real-time AI dashboards, and multi-tenant SaaS platforms. I work at the intersection of low-latency systems, LLM orchestration, and full-stack product engineering.


What I Build

Domain What it means
Algorithmic Trading State-machine-driven execution engines with zero-disk-write tick loops, MT5 integration, and AI-powered order flow analysis (CVD, absorption, volume profile).
Real-Time AI Dashboards Streamlit + Next.js command centers unifying live market data, LLM routing, voice assistants, and multi-service telemetry into one cockpit.
LLM Orchestration Multi-provider proxy routers with auto-fallback chains, agent swarms, and Telegram-driven AI gateways.
SaaS Platforms Multi-tenant BSAAS architectures with FastAPI backends, Next.js frontends, PostgreSQL, and Telegram bot automation.
Video Intelligence Vision-based signal generation from chart screenshots and YouTube content credibility profiling.

Featured Repositories

🔥 DeepchartsPro v3

Post-News Breakout Trading Engine — Production Grade

A 5-stage state machine (PRE_NEWS_GUARD → CONSOLIDATION_SCAN → BREAKOUT_DETECTION → ENTRY_EXECUTION → POSITION_MANAGEMENT) built for high-frequency post-news breakout trading on BTCUSD.m and EURUSD.m.

  • Zero-disk-write tick loop — all state retained in-memory with deque ring buffers
  • FabioValentiniScalper — CVD, absorption, volume profile order flow analysis
  • FastAPI + WebSocket telemetry — 1Hz real-time state streaming to Next.js dashboard
  • 180/180 tests passing — pytest, ruff, mypy strict mode
  • Exponential backoff MT5 reconnection — max 10 retries, jitter, degraded mode
  • Dual-write journal — local JSONL primary + Supabase mirror

→ View Repository


🧠 ST4RBOY Core

Unified Trading Orchestration Spine

The canonical orchestration layer for a multi-bot trading ecosystem. Owns signal schema v1, strategy mode routing, soft risk gating, and dual-write journaling.

  • Signal schema v1 + normalizer — typed, versioned signal contracts across 4+ bots
  • Strategy mode router — reads strategy_config.json, switches between regime_btc / ema / scalp modes
  • Soft risk gate — pause/resume, symbol allowlist, confidence threshold, concurrency limits
  • Hermes resolve — WSL integration for cross-platform agent communication
  • CLI interface — 15+ commands for self-test, preflight, journal probing, hive queuing

→ View Repository


🖥️ AI Command Center

Unified Trading + AI Dashboard

A 10-page Streamlit application unifying DeepChartsPro, ST4RBOY Core, Hermes, and OmniRoute into a single control cockpit.

  • 10 page renderers — home, core_status, terminal, signals, signal_scanner, trading_terminal, system_health, jarvis, settings, logs, omniroute
  • ENI voice assistant — browser-native push-to-talk, context-aware responses, dedup logic
  • Live market ticker — sidebar price strip with real-time updates
  • Command palette — Cmd+K fuzzy search overlay for navigation
  • Jarvis theme system — 6 theme presets, particles, focus mode
  • WebSocket integration — live MT5 feed, AI brain outputs, signal pipeline

→ View Repository


🏢 ELEVATE TECH SA

BSAAS — Telegram Automation for South African Businesses

A multi-tenant SaaS platform automating customer communication, bookings, and support through Telegram.

  • Full-stack architecture — Next.js 14 + TypeScript frontend, FastAPI + PostgreSQL backend
  • Multi-tenant data isolation — SQLAlchemy 2.0 + Alembic migrations
  • JWT authentication — secure server-side auth + authorization
  • Kibo chatbot — Telegram-native AI assistant with intent classification via OmniRoute
  • Production-ready infrastructure — Docker Compose, health checks, seed scripts

→ View Repository


🔀 Unified Trading Bot

24/7 Session-Driven Execution Engine

A production trading bot with session-aware strategy rotation, risk management, and multi-broker support.

  • Session router — Tokyo, London, New York session detection with SAST timezone handling
  • Strategy rotation — auto-rotates between Tokyo Sweep, London Open Fade, London Close Reversal
  • Risk management — margin guard, portfolio heat, correlation matrix, partial close system
  • ML validator — machine learning signal validation layer
  • News filter — filters trades around high-impact news events
  • Heartbeat server — health monitoring endpoint for uptime tracking
  • State persistence — crash recovery with position metadata restoration

→ View Repository


🎥 Deep Profiler

YouTube Credibility Profiler — Terminal CLI

Analyzes YouTube content creators for actionable substance vs. empty buzzwords using transcript extraction and credential scoring.

  • yt-dlp integration — extracts auto-captions + metadata from any YouTube video URL
  • Antigravity SDK — optional LLM-powered credential evaluation
  • AWS S3 storage — persists transcripts and analysis results
  • Poetry-packaged CLI — deep_profiler entry point with pytest + ruff + mypy

→ View Repository


Tech Stack

Languages

Python · TypeScript · JavaScript · SQL · Bash · PowerShell

Backend

FastAPI · Uvicorn · SQLAlchemy · Alembic · Supabase · PostgreSQL · pydantic

Frontend

Next.js 14 · React 18 · TypeScript · Streamlit · Plotly · Tailwind CSS

Trading & Data

MetaTrader5 · NumPy · pandas · WebSockets · yt-dlp · boto3

AI / LLM

OmniRoute (multi-provider LLM proxy) · Claude · Gemini · DeepSeek · Telegram Bot API

Infrastructure

Docker · Docker Compose · Turborepo · pnpm · GitHub Actions · AWS CDK · WSL

Quality

pytest · ruff · mypy · prettier · Jest · pytest-asyncio · pytest-cov


Currently Exploring

  • Phase 6-7 autonomous self-healing loops — thread-safe telemetry bridges, LLM fallback chains
  • Vision-based signal generation — screenshot analysis → trade signals
  • Multi-agent orchestration — Hermes agent swarm with task distribution
  • Real-time risk analytics — portfolio heat, correlation matrices, margin guards

Let's Connect

I'm always interested in collaborating on production-grade trading systems, AI infrastructure, or full-stack SaaS products.


Built with obsessive attention to production readiness, test coverage, and clean architecture. No scaffolding, no tutorials — everything here runs live.

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