Nguyen V.

I build trading systems that keep running when you're not watching, and AI agent tools that read the market for you. You bring the strategy or the rules. I write the code that places the orders, enforces your risk limits and recovers after a restart. I don't sell signals or promise profit. What I build: - Exchange and broker connections: CCXT and Interactive Brokers TWS. Two of my pull requests are merged into the open-source CCXT library, and one of them is a new exchange (EllipX). - Market data from Yahoo Finance, Coinbase and Hyperliquid public feeds. - Execution guards for stop orders that don't fill, partial fills, double fills and reduce-only exits. - Risk locks: loss-streak and daily-gain locks, trading-hour cutoffs, and locks that stay in place after a restart. - P&L that counts fees, funding and partial closes, plus data jobs that run on a schedule. - Backtest reviews that look for look-ahead leaks, too many trials behind one Sharpe ratio, and missing spread costs. - TradingView Pine Script v6 indicators and strategies, checked before you paste them. - MCP servers that give Claude, Cursor and other agents live price charts, indicators and liquidity-pool checks. Recent client work: - CCXT integration for the Bitfinex exchange, delivered for an Upwork client. In my portfolio: - IBKR stop-order failsafe: it replays 5 market failure cases, and 6 tests pass. - Futures risk-lock engine: it checks every order against your own limits, and the locks survive a restart. - Market-data tools for AI agents: charts with indicators, Pine Script checks and DeFi fundamentals, all live today. How I work: - We write the rules down first: entries, exits, limits, and what happens when the connection drops. - You see a working demo on sample data, then a paper-account run, then live. - AI agents write the first draft of the code and tests. I review every line before you get it. - Work is in fixed-price milestones, and all messages and payments stay on Upwork. Background: Master's in Quantitative Finance, and 5+ years of Python data pipelines and exchange APIs. Send me your strategy rules or the script you have now. I'll reply with what can be automated, the milestones and the price.