I architect production-grade algorithmic trading platforms and AI-native quantitative systems including backtesting engines, execution frameworks, market-data pipelines and automated strategy infrastructure across crypto, equities and derivatives markets. With 5+ years of experience in Python and quantitative engineering, I design scalable financial systems where AI enhances research, development and validation workflows. My work combines event-driven architecture, async systems and deep trading domain knowledge to deliver reliable automated trading platforms used in real-world environments. 🤖 Agentic AI & Intelligent Quant Workflows My development approach integrates AI directly into quantitative infrastructure: • AI agents, sub-agents and swarm-style agentic teams embedded into development pipelines • Structured build → review → test workflows powered by GPT and Claude based agents • Intelligent evaluation pipelines for code, strategies and system behavior • AI-assisted system design using modern environments like Cursor, with orchestration through frameworks such as CrewAI and evaluation/testing via OpenClaw and Manus 🎯 Core Focus Algorithmic trading infrastructure • Backtesting & analytics • Real-time market data • Risk systems • AI-augmented quantitative workflows Core Stack: Python, AsyncIO, FastAPI, NautilusTrader, QuantLib, NumPy, Pandas, PostgreSQL, Redis, MongoDB, Docker, WebSockets AI Workflow: Cursor with GPT & Claude driven agent pipelines integrated into development and testing If you’re building serious trading infrastructure or AI-driven quantitative systems, I’d love to collaborate.

Making your strategies work flawlessly for you with Interactive Brokers APIs and popular trading platforms: NinjaTrader, MultiCharts, MetaTrader and others. 15+ years of experience in trading automation. Statistical verification and validation of trading systems. Building trading strategies that work.

I'm a seasoned Python developer specializing in automated trading systems, market data integration, and quantitative finance solutions. With deep expertise across multiple broker APIs and trading platforms, I help traders and funds automate strategies, optimize execution, and scale their operations. Core Expertise: My core expertise includes OpenAI, Gemini, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), n8n automation, AI agents, and workflow orchestration, enabling reliable, scalable, and production-ready AI systems. I have extensive experience with OpenAI, LLMs, embeddings, vector databases (FAISS, Chroma), prompt engineering, and AI evaluation pipelines. Broker Integration: IBKR TWS , Charles Schwab , Tradovate , NautilusTrader , Pine Script, Binance (Spot Futures Coin-M), Bittrex, KuCoin, ToroBase. Asset Classes: Equities, Options, Futures, Commodities, Cryptocurrencies, NFTs Trading Platforms: MT5/MT4, AmiBroker, NinjaTrader integration Market Data: databento, Alpha Vantage, Polygon io, real-time feeds and historical data processing Automation & Bots: Discord data filters, Telegram bots, copy trading systems, OpenSea/Etherscan integration, slack, gmail, telegram integration. What I Deliver: ✓ HFT system with milliseconds based frequency to scan to trade to monitoring. ✓ Automated trading bots with robust risk management ✓ Custom indicators and backtesting frameworks ✓ Multi-exchange arbitrage and market-making systems ✓ Real-time alerting and signal distribution ✓ Portfolio management and execution optimization ✓ Web/desktop copy trading applications Infrastructure & Deployment: Cloud infrastructure: AWS, GCP, Azure DevOps architecture for high-availability trading systems Scalable, low-latency execution pipelines Why Work With Me: I understand that in quantitative trading, reliability and precision are non-negotiable. I deliver production-ready code with proper error handling, logging, and monitoring. Whether you're backtesting a strategy, automating execution, or building a complete trading platform, I ensure your system runs smoothly 24/7. Let's discuss your trading system requirements and build something profitable together.

Hi, I'm Bill, an experienced developer with a strong focus on backend developing, data engineering and automation. I am experienced in developing Restful API services, data scraping & cleaning & processing, FIX protocol, multi-source data integration, tool & script developing, etc. I mainly use Java & Python & C++ & SQL & shell, and am familiar with many technologies including MongoDB, MySQL, Redis, ClickHouse, ELK(Elasticsearch&Logstash&Kibana), Kafka, Zookeeper, Docker, K8s, MQ(ActiveMQ, RocketMQ, etc), Pandas, OpenPyXL, Numpy, FastAPI, Flask, etc.

Python engineer specializing in trading automation, data pipelines, and ML for financial markets. I build production-grade systems not weekend scripts, with proper error handling, configuration management, and clean architecture. 🔹 TRADING APIS — Interactive Brokers (TWS API), Alpaca, ccxt; risk-gated execution, portfolio tracking, real-time market data. 🔹 WEB SCRAPING — Selenium (stealth), BeautifulSoup, Scrapy; anti-detection, proxy rotation, adaptive rate limiting at scale. 🔹 ML / NLP — TF-IDF, XGBoost, transformer models (FinBERT); sentiment analysis, ticker extraction, ensemble model pipelines. Every project I deliver includes: ✅ Clean, typed Python with docstrings ✅ Config-driven design (YAML, no hardcoded values) ✅ Logging + audit trails ✅ Tested architecture, not "happy path" scripts ✅ Full source on GitHub I work best on projects where reliability matters more than quick-and-dirty MVPs. If your system needs to run unattended, handle errors gracefully, and produce auditable output I'm your person.

Hi — I’m Farshad, a quantitative developer and AI engineer with a PhD in Artificial Intelligence and 10+ years of experience in algorithmic trading, AI/ML, and Python-based trading infrastructure. I build production-grade algorithmic trading systems across equities, options, crypto, and prediction markets (IB/Thinkorswim,tradestation,polymarket), covering the full lifecycle from research and backtesting to live execution and risk management. **Live trading & production experience** * ~$2.5M capital under management (2026) * 2+ years of continuous live deployment * Thousands of real-time trades executed across equities, options, and crypto * Only $8M live trading volume in Q1–Q2 2024 * 14,000+ backtests run in 2024-2025 * 100,000+ lines of production trading code written in 2024 **What I specialize in** * Algorithmic trading strategy development * Options strategies (debit/credit spreads, short premium, Greeks analysis) * Volatility and regime forecasting using AI/ML * Agentic trading workflows (autonomous model + execution + risk loops) * Backtesting and execution infrastructure * Market microstructure and anomaly detection **Platforms & infrastructure** * QuantConnect Lean (Python) * NautilusTrader * Interactive Brokers, Binance * Polygon market data * PostgreSQL / cloud databases * Docker & cloud-based deployments **Open-source contribution** * Active contributor to an open-source options trading framework for QuantConnect: (focused on production-ready options strategy architecture and execution logic) I work as a hands-on engineer who can take trading ideas from prototype to production, with transparent communication and structured delivery.

I am a Claude Certified Architect, certified directly by Anthropic, and I build scalable software systems and AI powered products for businesses that need technology that holds up under real use. I designed and built an AI voice technology platform from the ground up for a real estate lead qualification product, taking it from architecture through to a working, commercially ready system. I also work as a senior software engineer within a technology group running multiple digital products, where my focus is scalable architecture and distributed systems. As a freelancer, I have delivered AI powered systems, automation, and multi agent architectures for clients across different industries. I am Top Rated Plus on Upwork, in the top 3% of talent on the platform, with a 100% Job Success Score. If you need a senior engineer who can design the system properly and build it right the first time, I would be glad to discuss your project.

Top Pinescript Developer in 2026 | Algorithm Trading | Integration to Tradovate,Interactive Brokers, Oanda, Bybit , Binance , Hyperliquid, Metatrader,Zerodha,Ninjatrader | Trading Strategy Development | Top rated trusted developer | Pinescript developer in 2026 | Best Pinescript developer

I am a highly creative data scientist / quantitative finance analyst / algorithmic trading developer with a solid background in engineering, mathematics, statistics, machine learning, data and signal processing, physics and technology development. I have expertise in backtesting and strategy development with BackTrader, QuantConnect and Trade Ideas. I program fully automated and robust stocks, ETF, Forex, options, cryptocurrencies and futures trading strategies. I can help you develop or code your custom trading bot, algorithm/robot in Python with execution through the Interactive Brokers IB TWS API. I can deploy an algorithm developed and backtested on QuantConnect to the following brokerages: Interactive Brokers, TD Ameritrade, Tradier, Trading Technologies, Bloomberg, Oanda, Zerodha, Binance, Coinbase, Kraken and Bitfinex. I can develop and backtest option trading strategies on OptionAlpha and OptionOmega. If you need to analyze or gather market data, I have experience with several data provider's API and can customize and automate your analysis with Python scripts, Google Sheet and Excel. I can also create custom scripts and indicators in TradingView as well as sending and trading alerts through Webhooks. I have good communication skills plus acute attention to detail, and strong self-motivation. I look forward to working with you!

I transform financial and operational uncertainty into mathematical decisions using advanced econometrics and machine learning. With a Master's in Quantitative Finance, I don't just run basic scripts; I design end-to-end risk architectures, algorithmic trading ecosystems, and automated financial pipelines that drive real business impact. My focus is on eliminating operational friction and replacing emotional decision-making with rigorous mathematical frameworks. Core Competencies & Deliverables: Quantitative Risk & Scoring: Portfolio transition matrices, credit risk modeling (SARC/SARM compliance), and hybrid fundamental valuation (DCF/RIM). Financial & Commodity Forecasting: Time series modeling (VAR, ARIMA, Random Forest) applied to market trends, agriculture, and energy sectors. Algorithmic Trading & Signal Automation: Intraday trading tools, statistical Lead-Lag engines, and automated execution bots (MT5/IBKR). AI & Operational Automation: Multi-agent AI swarms (Claude/Gemini) for corporate risk assessment and fully automated ETL pipelines extracting unstructured data from financial PDFs. Technical Stack: Languages & Frameworks: Python, R, SQL, Streamlit, Django. Data & ML: Pandas, Scikit-learn, XGBoost, Auto-ARIMA, RapidFuzz. Infrastructure: SQLite, PostgreSQL, MS Graph API, Azure, APIs (FRED, Yahoo Finance). AI Integration: Anthropic Claude, Google Gemini, Cognitive Swarm Orchestration. Whether you need to automate a tedious financial reporting bottleneck, build a predictive macroeconomic dashboard, or deploy a high-frequency trading algorithm, I build the systems that give you a quantitative edge. Let's discuss your next project.