I build custom trading bots, algorithmic trading systems, and blockchain infrastructure for crypto, forex, stocks, futures, and options, along with smart contracts, DeFi protocols, and automated execution that runs faster, cleaner, and more reliably than what you are running today. I lead a 35+ person team focused on trading automation, blockchain development, smart contracts, AI powered execution, and full stack development, trusted by hedge funds, prop trading firms, DeFi protocols, Web3 startups, and independent traders worldwide. If your setup is too slow, too rigid, or breaks when markets move, that is exactly what I fix. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: 👉 Custom Trading Bots and Algorithmic Trading Systems: Execution engines for crypto, forex, stocks, futures, options, and commodities. Sniper bots, arbitrage bots, grid trading, scalping bots, market making engines, copy trading, signal bots, MEV bots, and fully automated strategies. Python, Node.js, Rust, MQL4/MQL5. Sub 300 ms latency. Solana sniper bots, cross exchange crypto arbitrage, futures scalping, and options execution. 👉 Blockchain and Smart Contract Development: Solidity and Rust smart contracts for Ethereum, Solana, Base, BSC, Polygon, and Arbitrum. Tokens: ERC-20, BEP-20, and SPL with vesting, presale, and tokenomics design. NFT contracts: ERC-721 and ERC-1155 with minting, royalties, and marketplace integration. DeFi protocols: DEXs, AMMs, staking platforms, liquidity management, lending, yield farming, flash loans, and cross-chain bridges. Gas-optimized, audit-ready code built on OpenZeppelin standards, with full test coverage in Hardhat, Foundry, and Anchor, smart contract review and security hardening, and staged testnet-to-mainnet deployment. dApp development end to end: wallet integration (MetaMask, Phantom), Web3.js, Ethers.js, Solana Web3, Chainlink oracles, indexers, and subgraphs, plus AI assisted on-chain monitoring and anomaly detection. 👉 Broker and Exchange Integrations: Direct API integration with Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, MEXC, Hyperliquid, Interactive Brokers (IBKR/TWS), Alpaca, TradeStation, Schwab, OANDA, FXCM, cTrader, DXTrade, Tradovate, and NinjaTrader. REST APIs, WebSocket feeds, and FIX protocol. Low latency order routing, order book parsing, multi broker orchestration, and 24/7 uptime. DEX: Uniswap, Raydium, Jupiter, PumpFun, PancakeSwap, SushiSwap. 👉 MetaTrader and Expert Advisor Development: Custom EAs for MetaTrader 4 and MetaTrader 5 in MQL4/MQL5. Forex trading bots, scalping EAs, news trading bots, hedging systems, and risk management. MT4 and MT5 bridges to external APIs, copy trading systems, and signal services. Full backtesting, optimization, and deployment. 👉 TradingView, PineScript, and Webhook Automation: Custom PineScript indicators and strategies, webhook to broker execution pipelines, and alert based trading systems. TradingView signals connected to any broker or exchange, from alert forwarding to multi leg strategy automation. 👉 AI Enhanced Trading and Quantitative Systems: AI signal processing, pattern recognition, sentiment analysis, technical analysis engines, and adaptive execution. Backtesting with PnL analytics, drawdown tracking, and Sharpe optimization using pandas, NumPy, scikit learn, TensorFlow, backtrader, and vectorbt. Predictive ML models and reinforcement learning execution. Systematic trading, mean reversion, momentum, and trend following. I build the system, you keep the alpha. 👉 Telegram Bots, Discord Bots, and Dashboards: Telegram trading bots with alerts, one click execution, portfolio tracking, and whale watching. Discord bots with signal forwarding, copy trading, and moderation. Web dashboards with live charts, analytics, and multi-exchange views. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, Node.js, Rust, Solidity, JavaScript, TypeScript, MQL4, MQL5, PineScript. 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧: Web3.js, Ethers.js, Solana Web3, Anchor, Hardhat, Foundry, Truffle, OpenZeppelin, Chainlink 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋: TensorFlow, PyTorch, scikit learn, pandas, NumPy, OpenAI API, NLP, LLM 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: MetaTrader 4, MetaTrader 5, TradingView, Interactive Brokers TWS, QuantConnect, NinjaTrader, TradeStation, Alpaca, cTrader, MultiCharts 𝐄𝐱𝐜𝐡𝐚𝐧𝐠𝐞 𝐀𝐏𝐈𝐬: Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, Hyperliquid, IBKR, Alpaca, OANDA, FXCM, Schwab, Uniswap, Raydium, PumpFun, Jupiter, CCXT Backtesting: backtrader, vectorbt, Zipline, QuantConnect. 𝐋𝐄𝐀𝐍 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, Docker, Redis, RabbitMQ, PostgreSQL, MongoDB, WebSockets, Kafka 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 𝐅𝐨𝐫: Crypto trading bots. Algorithmic trading for forex, stocks, futures, options, and commodities. Expert Advisors for MetaTrader. Smart contracts and DeFi protocols in Solidity and Rust. Token and NFT development. dApp builds and Web3 platform infrastructure. Smart contract review, gas optimization, and security hardening.

Hello, I’m Ali Mukhtar. I build Python-based quantitative finance systems for firms, startups, and serious traders who need reliable infrastructure for research, backtesting, analytics, and execution. My work sits at the intersection of quant logic and production engineering. I’ve built trading platforms and finance products with FastAPI, pandas, NumPy, TA-Lib, backtrader, PostgreSQL, Redis, CCXT, Alpaca, Polygon, and AWS, including systems for backtesting, options analytics, market data pipelines, execution workflows, and performance reporting. I’m a strong fit if you need help with: ✅ Backtesting engines with realistic assumptions such as commissions, slippage, PnL, Sharpe, drawdown, and portfolio-level metrics ✅ Strategy research infrastructure using Python, pandas, NumPy, TA-Lib, and custom rule/indicator pipelines ✅ Execution and market data systems using APIs, WebSockets, async processing, and exchange/broker integrations ✅ Risk and performance analytics including trade attribution, fill analysis, reporting, and custom metrics ✅ Finance dashboards and APIs for trading, options, and market intelligence platforms ✅ Scalable backend systems built with FastAPI, PostgreSQL, Redis, multiprocessing, and cloud deployment A few examples of the systems I’ve worked on: Built backtesting platforms with realistic trade lifecycle handling, commission/slippage modeling, and 50+ performance/risk metrics Built strategy builder APIs that allow stacking indicators and testing systematic logic across historical data Built options and market analytics dashboards using Alpaca and Polygon data, including Greeks, IV, open interest, GEX, vanna, and charm views Built execution-analysis pipelines in Python to measure fill quality, VWAP, slippage, latency impact, and symbol-specific virtual fee models Built scalable trading infrastructure with isolated processes, async data ingestion, secure auth, and production deployment on AWS / Docker / Kubernetes I’m usually not the right fit for: Generic “quick script” work with no research depth Projects that ignore execution realism, slippage, or proper validation Lowest-cost shopping where engineering quality is secondary What you can expect from me: ✅ Finance-aware implementation, not just generic backend code ✅ Clean, maintainable Python code and well-structured APIs ✅ Realistic backtesting and analytics instead of inflated results ✅ Clear communication and thoughtful technical decisions ✅ A builder who understands both quant requirements and production constraints 🚀 Ready to build something serious? 📩 Send me a message and let's discuss how we can build something exceptional together!

I’m a senior software engineer specializing in algorithmic trading systems, quantitative research, and backtesting frameworks. I design and code robust strategies across Python, TradingView Pine Script, and modern data pipelines — helping traders, funds, and fintech startups turn trading ideas into measurable results. My background blends enterprise-grade software engineering with quantitative analysis — I’ve built scalable systems from AI engines to real-time analytics dashboards. Today, I focus on bringing that same rigor to trading, backtesting, and portfolio analytics. What I Do Best Algorithmic Trading & Strategy Engineering Build, optimize, and validate trading strategies in Python (pandas, NumPy, vectorbt, backtrader, QuantConnect LEAN) Design systems that simulate realistic fills, slippage, and transaction costs Develop custom indicators and backtest frameworks that match live behavior TradingView / Pine Script Development Create, fix, or convert indicators & strategies (v5/v6) Build multi-timeframe logic, dynamic alerts, and performance tables Convert ThinkScript / AFL / EasyLanguage → Pine Script Quant Research & Data Analytics Statistical testing, alpha research, factor analysis Portfolio optimization (risk-adjusted returns, drawdown control) Visualization dashboards for signals and backtest metrics Automation & Integration Broker and exchange API integration (IBKR, Alpaca, Tradier, Binance, CCXT) Alert routing and live trade automation using webhooks, Lambda, or Docker Cloud deployment via AWS / Azure with CI/CD automation Selected Work Highlights StockSense: Designed a Python/Java Spring Boot backend for multi-symbol forecasting using Alpha Vantage and custom SMA/RSI signal engines. TradingView Indicator Suite: Built private Pine Script indicators for retail traders — replicating premium vendor behavior and integrating alert-based Discord routing. Backtesting Toolkit: Engineered reusable framework for walk-forward analysis, parameter sweeps, and performance reporting (Sharpe, Sortino, PF, DD). AI-Powered Data Pipelines: Implemented trading data ETL and feature extraction using pandas, FastAPI, and PostgreSQL for real-time dashboards. Tools & Stack Languages: Python, TypeScript, JavaScript, C#, C++ Trading & Analytics: Pine Script, QuantConnect, Backtrader, vectorbt, PyFolio, NumPy, pandas Frameworks: FastAPI, Node.js, React, .NET, Spring Boot Data & Cloud: PostgreSQL, MongoDB, AWS (S3, Lambda), Azure, Docker, CI/CD Visualization: Plotly, Dash, Tableau, Streamlit What You Can Expect Clean, well-documented, reproducible code Quant-grade validation (no look-ahead, realistic fees/slippage) Detailed reports and handoff documentation Transparent communication and milestone-based delivery If you have a strategy, indicator, or trading idea, I can turn it into executable, testable, and scalable code — with measurable analytics and a clear path to production.

‼️ 𝗠𝗼𝘀𝘁 𝗰𝗿𝘆𝗽𝘁𝗼 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗯𝗼𝘁𝘀 𝗱𝗼𝗻'𝘁 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗯𝗮𝗱 𝗰𝗼𝗱𝗲. ‼️ They fail because they lack proper risk management, position sizing, portfolio controls, real-time monitoring, and institutional-grade execution. I build AI Trading Systems, Crypto Trading Bots, Algorithmic Trading Platforms, and Quantitative Trading Solutions that automate trading across CEXs, DEXs, DeFi protocols, and multi-exchange environments. 💢 Whether you're launching a new AI-powered trading platform or repairing an existing trading bot, I build systems designed for reliability, scalability, and long-term performance—not unrealistic profit promises. 𝗔𝗜 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗜 𝗕𝘂𝗶𝗹𝗱 ⁉️ 🔴 AI Trading Agents 🟠 Crypto Trading Bots 🟡 Algorithmic Trading Systems 🟢 Quantitative Trading Platforms 🔵 Automated Trading Software 🟣 Multi-Exchange Trading Bots ⚫️ Portfolio Management Systems ⚪️ AI Signal Generators 🟤 Trading Analytics Platforms 🟡 Quant Research Dashboards ⚫️ AI Portfolio Optimization 🟢 TradingView Automation ⚪️ Telegram Signal Bots 🟠 Copy Trading Platforms 🟣 Arbitrage Bots 🟤 Market Making Bots 🔵 Grid Trading Bots 🔴 DCA Bots 🟢 Scalping Bots 🟡 Futures Trading Bots 🟠 Spot Trading Bots 🔴 DeFi Trading Automation 🔵 On-chain Analytics Systems 🟣 Whale Tracking Bots ⚫️ Crypto Screeners ⚪️ Smart Order Routing Systems 🟤 Risk Management Engines 🔴 Backtesting Infrastructure ⚫️ Walk Forward Optimization 🟠 Strategy Optimization 🔵 Paper Trading Systems What I Build ⁉️ ❇️ AI Trading Systems I build intelligent trading platforms using: 🔰 Machine Learning 🔰 Deep Learning 🔰 Reinforcement Learning 🔰 LLM-powered Trading Agents 🔰 AI Signal Generation 🔰 Portfolio Optimization 🔰 Market Prediction Models 🔰 Quantitative Research 🔰 News & Sentiment Analysis 🔰 Autonomous Trading Workflows Using: 🧽 OpenAI ✳️ Claude 💎 Gemini 🪎 DeepSeek 🧱 LangChain 🧲 MCP 📦 Vector Databases ❇️ Crypto Trading Bot Development I develop automated trading bots for ¶ 🟪 Binance 🟧 Bybit 🟩 OKX 🟦 Hyperliquid 🟫 KuCoin ⬜️ Kraken ⬛️ Coinbase 🟨 Bitget 🟪 Gate 🟩 MEXC 🟫 HTX 🟥 BloFin ⬛️ BingX using 🌀 REST APIs 💠 WebSockets 🛗 FIX APIs 🈂️ CCXT ❇️ TradingView Automation I build complete TradingView automation using 💠 Pine Script 🎀 TradingView Alerts 🧧 Webhooks 📜 Strategy Automation 🏮 Live Order Execution 📪 Quantitative Trading I develop { 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗿𝗯𝗶𝘁𝗿𝗮𝗴𝗲 }, { 𝗖𝗿𝗼𝘀𝘀 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 𝗔𝗿𝗯𝗶𝘁𝗿𝗮𝗴𝗲 }, { 𝗠𝗮𝗿𝗸𝗲𝘁 𝗠𝗮𝗸𝗶𝗻𝗴 }, { 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 }, { 𝗠𝗲𝗮𝗻 𝗥𝗲𝘃𝗲𝗿𝘀𝗶𝗼𝗻 }, { 𝗧𝗿𝗲𝗻𝗱 𝗙𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 }, { 𝗣𝗮𝗶𝗿𝘀 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 }, { 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗥𝗲𝗯𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 }, { 𝗥𝗶𝘀𝗸 𝗠𝗼𝗱𝗲𝗹𝘀 }, { 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗦𝗶𝘇𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 }, { 𝗧𝗿𝗮𝗱𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝘀 }, { 𝗔𝗜 + 𝗤𝘂𝗮𝗻𝘁 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 } Every system can include 🟫 Dynamic Position Sizing ⬜️ Risk Engine ⬛️ Maximum Drawdown Protection 🟪 Kill Switch 🟦 Portfolio Exposure Limits 🟩 Slippage Analysis 🟨 Fee Optimization 🟧 Smart Order Routing 🟥 Low Latency Execution 🟦 Real-time Monitoring 🟧 Telegram Alerts ⬛️ Discord Alerts ⬜️ Email Notifications 🟩 Live Dashboards 🟥 Performance Analytics 🟫 Trade Journaling 🟧 Paper Trading 🟩 Strategy Backtesting 🟪 Walk Forward Testing ⬜️ Monte Carlo Analysis ❇️ Technologies Programming Languages: 🍎 Python 🥒 FastAPI 🥕 Flask 🍋 Django 🌮 Node.js 🍇 React 🍋‍🟩Next.js Trading Frameworks 🟥 CCXT 🟧 Backtrader 🟨 QuantConnect 🟩 LEAN Engine 🟦 Hummingbot 🟪 python-binance ⬛️ TA-Lib ⬜️ Pandas 🟫 NumPy 🟥 Polars Databases 🔴 PostgreSQL 🟠 TimescaleDB 🟡 Redis 🟢 MongoDB, SQLite Infrastructure 🔸Docker 🔹 Kubernetes ▪️AWS ▫️ DigitalOcean ◾️ Linux ♦️NGINX 🔺 GitHub Actions 🔹 Celery 🔸 RabbitMQ ◾️ Kafka AI Stack 🍎 OpenAI 🥒 Claude 🥕 Gemini 🍋 DeepSeek 🌮 LangChain 🍇 MCP 🍋‍🟩Hugging Face 🍎 PyTorch 🥒 TensorFlow 🥕 XGBoost 🍋 Scikit-learn 🌮 Vector Databases Why Clients Hire Me 🩷 Custom AI Trading Systems ❤️ Production-ready Crypto Trading Bots 🧡 Institutional-grade Risk Management 💛 Multi-Exchange Trading Automation 💚 TradingView Integration 🩵 Exchange API Integration 💙 Clean Architecture 💜 Secure Deployment 🖤 Full Documentation 🩶 Source Code Ownership 🤍 Long-term Maintenance 🤎 Fast Communication 𝗜 𝗱𝗼𝗻'𝘁 𝘀𝗲𝗹𝗹 "𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝗲 𝗯𝗼𝘁𝘀." I build robust, scalable trading systems backed by sound quantitative engineering, disciplined risk management, and AI-driven automation. Every solution is tailored to your strategy, infrastructure, and business objectives.

Losing hours to manual work your tools should handle automatically? I build the AI agents, RAG chatbots and n8n automations that fix that — production systems that run 24/7, not fragile demos, with custom Python when no-code hits its limit. Across 33 jobs and 900+ hours on Upwork I've shipped systems that are still running in production today. What I do: • AI agents & RAG chatbots (OpenAI, Claude, LangChain) • Workflow automation (n8n, Make, Zapier) + custom Python • Web scraping & data extraction • API integrations & backend (FastAPI, Django, PostgreSQL) Message me or book a quick call — I'll tell you straight whether I can help and how I'd do it.

With 12+ years of experience in full-stack development, I specialize in building scalable SaaS platforms, CRM/ERP systems, AI-powered applications, OCR solutions, and data automation systems. I have strong expertise in Laravel, CodeIgniter, React, TypeScript, and Node.js, and I’ve built production systems involving multi-tenant SaaS architecture, role-based access control, subscription billing (Stripe), and complex business workflows. I also have hands-on experience in OCR and computer vision pipelines, including extracting structured data from scanned PDFs, technical drawings, and images using tools like PaddleOCR, Tesseract, OpenCV, and YOLO. I’ve built systems that convert unstructured documents into accurate JSON outputs with bounding boxes and classification logic. What I can help you with: SaaS & CRM development (Laravel + React/TypeScript) API development and backend architecture OCR / document processing systems AI & automation integrations (OpenAI, workflows) Performance optimization and scaling existing systems I focus on clean architecture, scalability, and production-ready code that supports real business use cases. I’m available to start immediately and can quickly adapt to your existing codebase.

The market doesn't wait. Neither does my code. I specialise in building live algorithmic trading infrastructure — execution backends, options signal engines, and broker integrations that run unsupervised in production. My systems are built to survive forced reboots, API failures, and market chaos without human intervention. If it touches live money, it has to be right the first time. Recent work: - Live Options Signal Engine — Built a 19-module, event-driven scanner processing real-time equities and OPRA options data via Polygon, with a proprietary scoring model, ATR-based stop/target logic, Supabase state persistence, and rate-limit-aware webhook delivery to Discord and Telegram. Zero signal drops under high-volume market-open conditions. - Broker Execution Bots — Automated execution systems integrated with IBKR, Charles Schwab, and Angel One, handling live order placement, margin requirements, dynamic lot scaling, P&L tracking, and full crash recovery across large multi-ticker portfolios. - Quantitative Strategy & Backtesting — Pine Script strategies with dynamic bracket orders, breakeven automation, and trailing stops. Backtrader engines producing QuantStats tearsheets with Sharpe ratios, drawdown analysis, and daily returns. - Risk Architecture Audits — Quantitative framework reviews covering Monte Carlo methodology, survivability analysis, and live deployment readiness. Credentials: - PCPP1 & PCAP Certified · Flask open-source contributor (PR #5722) · Top Rated · 100% Job Success Score If you're building live trading infrastructure and need an engineer who understands both the code and the market mechanics — send me a message.

🚀 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚 𝐐𝐮𝐚𝐧𝐭 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐢𝐧𝐭𝐨 𝐚 𝐟𝐮𝐥𝐥𝐲 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐚𝐧𝐝 𝐩𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐥𝐞 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦? I am a 𝐐𝐮𝐚𝐧𝐭 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 and 𝐐𝐮𝐚𝐧𝐭 𝐓𝐫𝐚𝐝𝐞𝐫 specializing in 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐓𝐫𝐚𝐝𝐢𝐧𝐠, 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡, 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐁𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐏𝐲𝐭𝐡𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, and 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. I help traders, hedge funds, prop firms, fintech startups, and crypto investors build institutional-grade quantitative trading solutions that are designed for real-world execution. As a 𝐐𝐮𝐚𝐧𝐭 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, I focus on developing robust trading infrastructure, advanced execution systems, quantitative models, and automated trading bots that can operate across Crypto, Forex, Futures, Equities, and Options markets. 🧠 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝐁𝐞𝐬𝐭 I design and develop end to end quantitative trading systems using Python and modern trading infrastructure: 📊 Algorithmic Trading Strategy Development ★Signal generation, entry and exit logic, risk modeling ★Multi timeframe and multi asset strategies (Crypto, Forex, Equities, Options) 🧪 Backtesting and Strategy Optimization ★Historical simulation with realistic slippage and spread modeling ★Performance metrics such as Sharpe, drawdown, win rate, expectancy 🔌 Broker API Integration and Live Execution ★Interactive Brokers (IBKR), Zerodha, Dhan, Fyers ★Binance, Bybit, OKX crypto automation ★Order routing, position management, execution logic 🤖 𝐀𝐈 𝐁𝐨𝐭𝐬, 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐁𝐨𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 ★ Crypto Trading Bots (Grid, Arbitrage, Market Making & Trend Following) ★ Custom AI Chatbots tailored to your business or trading workflows ★ Telegram & Discord Bots for trading signals, alerts, and automation systems 🤖 AI and Quant Systems ★Data driven signal modeling using Python ★Feature engineering from market and on chain data ★AI assisted trading logic and optimization 📈 TradingView and Pine Script Development ★Non repainting indicators and strategy scripts ★Alert systems connected to live execution bots ★Advanced dashboards for real time decision making ⚙️ 𝐐𝐮𝐚𝐧𝐭 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 Market Data → Quant Research → Strategy Design → Backtesting → Optimization → Automation → Live Execution → Monitoring → Scaling 🔥 𝐌𝐲 𝐄𝐝𝐠𝐞 ✔ Production level trading systems (not just scripts) ✔ Strong focus on execution quality (latency, slippage, spread handling) ✔ Multi asset expertise (Crypto and Traditional markets) ✔ Clean, scalable, and maintainable Python architecture ✔ End to end automation from idea to live trading system 📌 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 Python • QuantConnect • Pine Script • Pandas • NumPy • Backtrader • Machine Learning • AI • Binance API • Bybit API • IBKR API • WebSockets • REST APIs • PostgreSQL • Docker • VPS Deployment 🎯 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 • Traders looking to automate strategies • Prop firms and funded traders • Crypto hedge funds and DeFi teams • Quant researchers and fintech startups • Investors wanting systematic trading systems 💬 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦 If you already have a strategy or even just an idea, I can convert it into a fully automated, tested, and production ready trading system. 👉 Feel free to click “𝐈𝐧𝐯𝐢𝐭𝐞” or 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 me here, I’ll respond quickly and help you turn your idea into a working system. Looking forward to working with you 🚀

Algorithmic Trading Systems | Quant AI R&D | NEXUS I'm Jack, Founder & CEO of AlgoXpert — a quant AI firm that builds, validates, and deploys algorithmic trading strategies across FX, equities, crypto, and options. We don't guess. We engineer. LIVE TRACK RECORD (real money, publicly verified on MyFxBook): • Sharpe 3.15 over 50+ days of live trading (since Jan 2026) • Max drawdown: 3.54% • Strategies: FX majors (USDJPY) • Full transparency — every trade independently verified THE ENGINE BEHIND THE RESULTS — NEXUS: NEXUS is our proprietary Agentic AI R&D system that produces verified alpha strategies at 100-1000x the speed of a traditional quant desk: • 60+ strategies developed across FX, crypto perps, and SPX options • 10 production-grade champions through our 7-layer validation engine • 1,000+ research studies completed | 24 active R&D projects • Out-of-sample validated: Crypto Sharpe 2.0 (2021-2026), SPX 0DTE Sharpe 3.4-6.4 • Prop firm strategies: 88% simulated pass rate across 5,000 Monte Carlo paths WHAT I BUILD: • Expert Advisors (MQL4/MQL5) — XAUUSD, EURUSD, indices, custom pairs • Pine Script strategies & indicators — TradingView, webhook automation • Python quant systems — backtesting, optimization, signal generation • Trading bots — Telegram copiers, API integrations (IB, MT4/5, NinjaTrader) • Full systematic trading frameworks — research to deployment HOW WE WORK TOGETHER: 1. Custom quant builds — EAs, bots, systematic frameworks ($2K-$15K) 2. FTMO/prop firm alpha packages — strategies engineered for challenge rules 3. Strategy licensing — own a validated strategy set, run it yourself 4. Signal subscription — copy our live trade signals directly 5. Managed accounts — we deploy and manage strategies on your capital 6. Consulting/mentoring — learn systematic trading from a practitioner 14+ projects delivered on Upwork | Rigorous validation on every build | No curve-fitted backtests, ever. Note: All out-of-sample and simulation metrics are validated through walk-forward analysis and Monte Carlo testing. Live results are independently verified on MyFxBook. Past performance does not guarantee future results. Jack / Founder & CEO, AlgoXpert Quant AI & Trading Systems

Quant Developer specializing in algorithmic trading systems, broker API integration, low-latency execution infrastructure, and backtesting platforms across equities, options, futures, commodities, and crypto. I build production-ready trading software for live execution, paper trading, multi-account management, portfolio monitoring, risk management, MTM controls, alerts, analytics, and web-based trading platforms using Python, real-time market data, and cloud infrastructure. My experience covers end-to-end trading technology, from market data feed capture, signal generation, and strategy logic to broker connectivity, order routing, execution monitoring, reporting, and dashboard systems. I work on fully automated trading systems, semi-automated execution workflows, paper trading environments, scanner-based platforms, advanced trading dashboards, multi-account systems, and large broker-connected trading products built for real market use. I can build and integrate around brokers, APIs, and platforms such as Interactive Brokers (IBKR)/ TWS/ IB Gateway, Alpaca, Charles Schwab, MT5 / MetaTrader 5, TradingView webhooks, Binance, Zerodha, Kite Connect, Angel One SmartAPI, XTS API, Polygon, REST APIs, WebSockets, and custom execution bridges. My systems commonly include multi-account handling, copy trading workflows, percentage-based position sizing, capital allocation logic, order management systems, stop-loss and take-profit rules, kill switches, max loss controls, MTM-based risk management, portfolio-level controls, position reconciliation, and execution tracking. On the strategy side, I work with workflows related to momentum, mean reversion, breakout, Open Range Breakout (ORB), trend-following, reversal strategies, options strategies, straddles, spreads, volatility-based systems, scalping, intraday trading, swing trading, candle formations, candlestick pattern analysis, RSI, Bollinger Bands, EMA-based strategies, ATR-based risk logic, support and resistance models, divergence logic, and scanner-driven strategy automation. I also build custom backtesting engines, optimization frameworks, signal dashboards, and paper trading systems to help move from research to live deployment. My core stack includes Python, pandas, NumPy, asyncio, FastAPI, Flask, Streamlit, PySide6 / Qt, Plotly, Dash, SQLAlchemy, PostgreSQL, SQLite, Redis, requests, aiohttp, ib_insync, ccxt, backtrader, vectorbt, TA-Lib, scikit-learn, Docker, Linux, and AWS services such as EC2 and S3, along with deployment workflows for web-based platforms, dashboards, internal tools, and real-time monitoring systems. I can also build communication and monitoring layers with Telegram alerts, Discord alerts, WhatsApp alerts, chat-based workflows, and notification systems. In addition to core trading infrastructure, I can support GPT and Claude-based real-time stock and market analysis, AI-assisted signal interpretation, reporting workflows, and decision-support tools for trading operations. This is useful for traders, firms, and teams that want intelligence layers alongside execution and monitoring systems. I focus on building software that is structured, scalable, execution-aware, and usable in real trading environments. Whether you need a broker-connected execution engine, a low-latency trading system, a multi-account automation platform, a futures or options trading dashboard, a crypto trading system, a paper trading setup, a backtesting framework, or a complete web-based trading product, I can help design and build it end to end.