I graduated with a B.S. in Mathematics and am deeply passionate about AI, Machine Learning, and Quantitative Trading. My solid mathematical foundation allows me to bridge the gap between complex theoretical concepts and high-performance, real-world code. Whether you are a professional trader, a tech enthusiast, or a student, I am here to help you with: 📈 Trading Strategies & Backtesting: Transforming your trading ideas into robust, optimized, and bug-free backtesting systems (Python, Backtrader, etc.). 📊 Custom TradingView Indicators: Coding customized indicators and automated alert systems in Pine Script (v5). 🧠 AI & Intelligent Agents: Building custom AI agents, LLM integrations, or predictive machine learning models. 📐 Mathematical Problem Solving: Solving complex equations, statistical modeling, or algorithmic math challenges. 🇨🇳 Chinese Language Learning: Helping you learn Chinese (Mandarin) from scratch or master professional/financial Chinese terminology. Let's collaborate to turn your concepts into reality. Feel free to send me a message.

I’m a quantitative trader and investment professional with over 18 years of live-market experience across Forex, stock market, crypto and commodities. I help traders, funds, and investors build institutional-grade trading systems and data-driven strategies backed by rigorous backtesting and designed for consistent, long-term capital growth. 🎓 Professional Track Record: - Top academic credentials: 4.0 GPA graduate student in Data Science at Harvard University, CISI Level 7 Wealth Manager. - More than 10 years of track record available in trading: annualized return of 51.5% (full statistics available). - Professional prop trader: managing $800K with a top-tier prop firm (FTMO), and a frequent member of their leaderboard (see attachments/portfolio). - eToro Popular Investor: with an 18.5% annualized return at a 3/10 risk score. - Institutional Experience: professional experience at a private hedge fund and on HFT projects with HSBC. 💹 Quantitative Strategy & Trading - Algorithm development: I build, test, and refine automated trading strategies from the ground up, improving execution logic, efficiency, and long-term stability. - Rigorous backtesting: I validate your strategy to uncover its true statistical edge, using walk-forward testing and Monte Carlo simulations to measure robustness, drawdown probability, and distribution of outcomes, before you ever risk real capital. - Technical Analysis: my expertise goes beyond pure math. I am deeply proficient in technical strategies (SMC, ICT, order blocks, liquidity) and, unlike "gurus", I rigorously backtest every concept, so you will never apply just abstract theory. - Advanced Risk Management: I design systems to protect capital, manage drawdown, and control exposure. - Custom Tool Development: I build proprietary indicators and market scanners (Python, Pine Script, MQL4/5) and dashboards (Python, Tableau). 🐍 My Tech Stack Python (Pandas, Backtrader), SQL (MySQL), Pine Script, Tableau, MQL4/5 for MT4/5, TradingView, cTrader. New to Upwork, but not to markets. My profile rate is set at an introductory level as I build my Upwork reputation. You’ll get institutional-grade expertise and transparent collaboration at a fraction of typical consulting costs.

I'm a Python developer who builds trading bots and automation systems for traders and firms who want their strategies running without a human sitting there watching charts all day. Over the years I've focused a lot of my development work on financial markets - stocks, forex, crypto, options, and futures. If you have an idea for a strategy, or even just a rough concept of how you want to trade, I can turn that into working software that executes it for you, tests it against history, and manages your risk the way you actually want it managed. 🎯 How I Work I start by talking through what you're trying to do - are you scalping crypto on 1-minute candles, running a swing strategy on equities, doing arbitrage between exchanges, or something else entirely? Every market and every strategy type needs different handling, so I don't use a one-size-fits-all template. Once I know the plan, I build out the signal logic first, keeping it separate from the order execution so I can test and tweak things without breaking the whole system. 📊 Backtesting This is where a lot of bots get made or broken, and it's something I take seriously. I pull historical price data, clean it up (missing candles, stock splits, timezone issues - all the annoying stuff that quietly ruins backtests if you don't catch it), and run your strategy using frameworks like backtrader or vectorbt, or custom-built testing tools depending on the job. I check win rate, drawdown, Sharpe ratio, and profit factor, but more importantly I look for overfitting - a strategy that looks amazing on paper but was basically just memorizing the past. That's the number one reason bots fail once they go live, and I try to catch it before you spend real money finding out. 🧪 Paper Trading After backtesting, I move things to a paper trading environment so I can watch the bot run with fake money in real market conditions. This step catches things backtests can't - API hiccups, slippage, partial fills, connection drops, weird edge cases that only show up when the bot is actually live. I don't like rushing this part. A bot that hasn't been paper traded is a bot that hasn't really been tested. ⚙️ Technical Side I work with broker and exchange APIs including Alpaca, Interactive Brokers, Binance, Coinbase, and others depending on your market. I build risk management directly into the bot: ✅ Position sizing ✅ Stop-loss and take-profit logic ✅ Daily loss limits ✅ Max open positions In my experience, the risk layer matters just as much as the entry signal, sometimes more. I also set up logging and alerts so you know what your bot is doing at all times, whether that's a simple dashboard or notifications straight to your phone through Telegram or email when something needs your attention. 🏢 Industries I've Worked With I've worked across a range of industries within finance - retail trading, quant research, small prop trading desks, fintech startups, and individual traders building their first automated system. Some clients come to me with a fully fleshed out strategy and just need it coded and deployed. Others have a rough idea and want help shaping it into something testable. Either way works for me, and I'll tell you honestly if I think an approach has problems before I build it, rather than just taking the job and letting you find out later. 🚀 Deployment Getting your bot running on a proper server, not a laptop that might shut its lid at the wrong moment, with process management so it restarts itself if something crashes, and your API keys handled securely rather than sitting in plain text somewhere they shouldn't be. 💡 Why It Matters I care about getting this right because I've seen how often trading bots get built badly - rushed, overfit, no real risk controls, deployed straight to live trading without ever being paper tested. That's how people lose money fast. My approach is slower and more careful, but it's built to actually hold up when real money is on the line. 🔧 Core Tech Stack Languages & Frameworks: Python, Pandas, NumPy, Node.js, TypeScript Trading & Backtesting: Backtrader, Vectorbt, TA-Lib, Zipline Broker & Exchange APIs: Alpaca, Interactive Brokers, Binance, Coinbase, ccxt Databases & Storage: PostgreSQL, SQLite, Redis, InfluxDB Core Concepts: Signal generation, Risk management (position sizing, stop-loss/take-profit), Order execution, Slippage & fee modeling, Rate limiting, Error handling & reconnection logic Monitoring & Alerts: Logging, Telegram/Email alerts, Grafana dashboards Deployment: VPS/Cloud servers, Docker, systemd, GitHub Actions CI/CD 📩 If you've got a strategy you want automated, or you're not sure where to start but know you want a bot handling the execution, message me and let's talk through it. I'm happy to ask questions upfront to understand what you actually need before we start building anything.

🌐 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲: I am a well-versed data analyst and full-stack developer, specializing in creating seamless, integrated applications from back-end to front-end, with a strong command in database management and performance optimization to ensure robustness and scalability of solutions. 🚀 🤖 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: • Computer Vision: OpenCV, TensorFlow, Keras, PyTorch, YOLO, FastAI, scikit-image, PIL (Python Imaging Library) • Natural Language Processing (NLP): NLTK, SpaCy, GPT, BERT, T5, Transformers, TextBlob, Stanford NLP • Reinforcement Learning: Gym, Stable Baselines, RLlib, TensorFlow Agents • Machine Learning Libraries and Frameworks: scikit-learn, XGBoost, LightGBM, CatBoost, H2O • Data Handling: pandas, NumPy, Matplotlib, Seaborn, Plotly, Jupyter 💹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗧𝗿𝗮𝗱𝗶𝗻𝗴: • Cryptocurrency Exchange APIs: Binance API, Bitfinex API, Kraken API, Coinbase Pro API, Gemini API, Huobi API, Bittrex API • Tools for Analysis, Strategy Testing, Visualization, Machine Learning, and Trading Automation: QuantLib, Zipline, Backtrader, PyAlgoTrade, TA-Lib, QuantConnect, Freqtrade, TradingView (PineScript), Jupyter, Matplotlib, Seaborn, pandas-datareader, yfinance, fbprophet, scikit-learn, TensorFlow, PyTorch 💻 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: • Web Frameworks in Python, C#, C++, Go: Django, Flask, .NET Core, ASP.NET, Gin, Echo, Fiber • Databases: MongoDB, PostgreSQL, MySQL, Redis, SQLite • Messaging Systems: RabbitMQ, Apache Kafka • Containerization and Orchestration: Docker, Kubernetes • Version Control Tools: Git 🖌️ 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: • Frameworks and Libraries for UI Development: React.js, Vue.js, Angular • Style Libraries: Bootstrap, Tailwind CSS, Sass • Programming and Scripting Languages: TypeScript, JavaScript, HTML5, CSS3 • No-code Tools: Webflow, Bubble, Adalo • Design Tools: Figma, Sketch, Adobe XD 📕 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: • Relational Databases: MySQL, PostgreSQL, SQLite, MariaDB, Microsoft SQL Server, Oracle Database • NoSQL and Document-Oriented Databases: MongoDB, Cassandra, CouchDB, Firebase Realtime Database, Neo4j, ArangoDB • Cloud Solutions for Databases: Amazon RDS, Google Cloud SQL 🌐 𝗛𝗼𝘀𝘁𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: • Cloud Providers: AWS, Google Cloud Platform, Microsoft Azure, IBM Cloud, Alibaba Cloud, Oracle Cloud • Platforms for Hosting Web Applications and Servers: Heroku, DigitalOcean, Linode, Vultr, Netlify, Vercel • Network and Security Management Tools: Cloudflare • Serverless Architectures and Containerization Solutions: AWS Lambda, Google App Engine, Azure App Service, Kubernetes 🔗 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: • API Paradigms and Standards: REST, GraphQL, SOAP, gRPC • API Testing and Documentation Tools: Postman, Swagger, Insomnia • API Gateway and Management: AWS API Gateway, Azure API Management, Google Endpoints • Authentication and Authorization: OAuth 2.0, JSON Web Tokens (JWT) • Messaging and Real-Time Systems: Apache Kafka, RabbitMQ, WebSockets, Socket.io I’m continually exploring new technologies and seeking innovative strategies to provide exceptional, cutting-edge solutions. 🌟

I bring over 20 years of experience as a Quantitative Consultant and Portfolio Manager, specializing in automated mid-frequency trading strategies across futures, FX, and volatility derivatives. My extensive background in econometric modeling, machine learning, and genetic algorithms enables me to deliver consistent performance, evident in a long-term Sharpe ratio above average on multi-million-dollar AUM mandates. I am currently seeking senior consulting and portfolio management opportunities, with the flexibility to engage on a part-time or full-time basis. My disciplined approach to risk management and portfolio construction has been honed through years of hands-on experience with top financial institutions and proprietary trading firms. If you are looking for a seasoned professional to enhance your trading strategies or manage your quantitative initiatives, I am ready to start immediately and collaborate across various time zones. Let's connect and explore how I can contribute to your success.