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Anmol P.

Algorithmic Trading | Quant Developer | IBKR | Python | AI Automation

Mumbai, India
$49 per hour
128 jobs
$70K+ total earnings

Algorithmic trading systems, quant research and backtesting where real money is on the line. 70+ trading bots shipped. 1M+ parameter combinations tested per strategy. We're a team of mathematicians, statisticians, algo-traders and full-stack developers at Insight Fusion Analytics. 100+ projects completed • 100% Job Success • Top Rated Plus ALGO TRADING & QUANT SYSTEMS ─── This is where we started and it's still what we do best. We're statisticians first, no machine learning hoax. Every output can be verified in Excel. Our USP is pattern recognition. Quick example: say you have a strategy — buy when RSI drops below 30, sell when RSI crosses above 70. Average profit per trade: -4%. Looks bad. But our tools will tell you: run that same strategy only in December, avg becomes +3%, and it covers 12% of all trades. Or between 1pm and 2pm when EMA is hugging, avg is +7% for 21% of trades. We test over a million combinations per strategy before suggesting patterns. (sorry for bringing up pattern recognition again and again, we can't stop talking about it) 70+ trading bots • 60+ backtesting frameworks • 20+ live screener bots We backtest equities, derivatives, and full portfolios. Live execution with kill switches on IBKR, Fyers, Zerodha, NinjaTrader, TradingView, QuantConnect. We've done HFT before but we'll be honest, there are better players than us on Upwork for that. Our USP is the math. Markets: US equities, Indian equities and F&O, Forex, Crypto DATA ANALYTICS & BI ─── We've done this across healthcare, insurance, real estate, e-commerce, and operations. Dashboards, automated reporting, competitor analysis, pricing studies, predictive models, data scraping, A/B testing, and research reports. What most statisticians do? Explain their methods. Time series this, Markov chains that, custom probability distributions. What the client thinks? Just tell me what my pricing should be and how to manage my inventory. We skip the lecture and give you the answer. If you're curious about the method, happy to walk through it on a call. Projects worth mentioning: • Lightning detection efficiency analysis for Boltek and ISRO (Boltek's storm tracking systems are deployed by the US Army and Toronto's CN Tower) • Sentiment analysis and review correlation for J Turner Research, the US multifamily industry's leading reputation analytics firm (148,000+ properties tracked) • Booking calendar optimisation for ServiceMarket, Dubai's largest home services marketplace (acquired by Etisalat for $22M) • Pricing and inventory analysis for Triton's Amazon launch Tools: Python, SQL, R, Pandas, NumPy, Scikit-learn, Excel, BigQuery AI AGENTS & AUTOMATION ─── We build AI agents that do actual work. Not chatbots that answer FAQs. Multi-step workflows where an agent ingests data, makes decisions, takes actions, and reports back. Document extraction pipelines that pull structured data from messy PDFs and emails. Trading signal processors that chain multiple APIs together and fire alerts in seconds. Review response systems that classify sentiment and route to the right person. Every agent ships with error handling, logging, and a kill switch. We're data engineers who added AI to our stack, so the plumbing is solid. Tools: PydanticAI, LangGraph, Claude API, n8n, Make, FastAPI, MCP SPORTS & PREDICTION MARKETS ─── Our favourite. We spend serious time engineering mathematical features with domain experts. Every bit is explainable using formulas. The secret is in the features engineered, not the strategy. All over Upwork we see ML models whose numbers can't be explained. ML applied from the start only raises irrational hopes and takes 6 months to a year before you realise the model isn't a fit. We believe good analysts produce a statistical model that works first, then layer ML on top if it actually improves things. Prediction systems for UFC, soccer, cricket. Edge detection on Polymarket, Kalshi, and similar markets. Full pipeline from data to predictions to signals. WORK WITH US ─── ▸ 30-min consultation ($100) to see if it's a fit, reimbursed in full if we work together ▸ Share your project, we scope it in 24 hours ▸ AI automation audit ($350), we map what can be replaced 7 out of 7 paid consultations have turned into long-term projects. When both sides have skin in the game the conversation is just better. Before reaching out, check out our past work. It helps us all figure out if we're aligned. We're not the cheapest option and we know it. We want you convinced before getting into a long contract. If it fits, let's talk. Make us do the Math.

Satish P.

Quantitative Developer | Backtesting Specialist | Trading Systems

Bengaluru, India
$30 per hour
26 jobs
$10K+ total earnings

Algorithmic Trading Developer specializing in building end-to-end trading systems, backtesting and optimization frameworks, and predictive machine learning models for financial markets. With over 3 years of experience collaborating with HNIs, hedge funds, and retail traders, I help clients automate, validate, and deploy profitable trading strategies across cryptocurrency, forex, and stock markets. My expertise spans technical analysis, quantitative research, and ML-driven strategies, along with developing custom screeners, dashboards, Python-based trading bots, low-latency execution systems, and robust Risk Management (RMS) infrastructure. I also provide statistical validation of trading strategies to ensure they are backed by data rather than assumptions. Whether you're implementing an idea from a research paper, translating a technical trading concept into code, or building a production-ready algorithmic trading system, I can help you develop, test, optimize, and deploy it with a scalable and reliable architecture. Programming Languages - Python - C++ - SQL Python Frameworks - Pandas - Numpy - Sci-kit - TensorFlow - Seaborn - Matplotlib - Streamlit - Plotly-dash Backtesting Frameworks - Backtrader - VectorBT - Backtesting-py - Custom backtesting engine Platform & Tools - Linux - Windows - Git - Github - Docker Databases - PostgreSQL (Timescale-db) - SQLite - Redis - Parquet/DuckDB Backtesting & Opimization - Grid/Random search - Bayesian/TPE/DE - Monte-Carlo - Stress testing - Lookahead/SurvivorShip/Overfitting ML for Financial Markets - Time-Series modeling - Supervised Learning - Feature Engineering - Tree-Based Models - DNN/CNN(2D&3D) - Model Validation - Overfitting Control Broker/Exchanges (not limited to) - Interactive Broker - Thinkorswim - Robinhood - Tradier - Alpaca - Charles Schwab - Binance - Coinbase - Bybit - OKX - Kraken - Crypto Read-only proficiency - Pine Script (Tradingview) - C# - MQL5 (Metatrader) - ThinkScript (Thinkorswim) Important Note - I do not sell pre-made bots or strategies. - Every system is custom-built based on your unique requirements and trading logic. If you're looking for a reliable algorithmic trading developer to turn your trading ideas into robust, production-ready systems feel free to send a 'message' or 'invite' me to your project.

Sheetal K.

Financial Services Automation Expert

New Delhi, India
$120 per hour
74 jobs
$100K+ total earnings

I am passionate about adding value to your life, by streamlining the trading processes through automation. Giving tailored solution for your systems is my first priority. For me, this means working closely with you to ensure that you receive the user-friendly software. I enjoy thinking outside the box and finding just the right solution for your trading business needs. For over three years, I have been serving as Trading Automation expert in full time and freelance roles on different platforms. Python and VBA based automation is my primary expertise. I’ve successfully delivered automated trading softwares along with backtesting functionalities. I have helped multiple clients setting up their bots in cloud based platform such as AWS. That enables them to run the bot 24x7 on the server requiring no manual intervention straight for a week. I have expertise working with several broker platforms including Interactive Brokers, TD Ameritrade, Tradovate and Zerodha Kiteconnect. I can seamlessly integrate other tools such as Quantconnect, Tradingview, Telegram in the automation process. These are a few of the functionalities I have coded in these bots: 1. Getting historical/ live data from Broker API. I generally use IB Insync Python API in case of Interactive Brokers 2. Getting signals directly from subscription based Websites such as tradingaddicts if the website allows bot activity 3. Reading signals from your Email if subscription service sends you standard automated email whenever the signal is generated 4. Getting data from any other Free/ Paid API including Yahoo Finance 5. Processing raw data to calculate indicators/ signals. I can create custom indicators as per your requirement or we may use standard libraries such as ta-lib 6. Order placement and order management 7. Risk management 8. Portfolio management 9. PyQT based GUI Dashboard for input settings and program status 10. Email/ Telegram updates for actions taken by bot 11. Market scanners My Expertise Areas - • Interactive Brokers API Integration (Using Python and ActiveX client) • Amazon Workspaces • Web Scraping • RESTful API Integration • Signal extraction from emails • Visual Basic (Creation of Macros) • Advanced MS Excel, Access, Power Point, MS Word, Outlook and Publisher VBA Programming • Google Scripts • Automation of Reports • Automation of spreadsheet

CA Jay V.

Equity & Options Trader | Investment Strategist | Chartered Accountant

Mumbai, India
$50 per hour
42 jobs
$10K+ total earnings

I help traders, investors, trading communities, and firms make better trading and investing decisions through professional-grade research, equity & derivatives trade ideas & advisory, and live market support. I am a professional equity & options trader with a strong focus on stocks, futures & options as well as cross-asset research. My background includes professional experience at a UK-based commodity trading firm, and I currently work with HNI clients, traders, and funds through freelance research, advisory, and consultation projects. As a Chartered Accountant, NISM-certified Equity Derivatives professional, and CFA level 1 cleared, I combine technical expertise with disciplined market execution to deliver research and strategies that are both professional and actionable. What I Offer: - Options strategy design & risk management: probability-weighted, risk-defined structures such as spreads, condors, and hedges. - Technical & macro research: multi-timeframe charting, sector rotation studies, and cross-asset analysis. - Research portfolios & presentations: professionally designed trade studies, thematic research packs, and client-ready reports that showcase strategy, rationale, and execution. - Trade validation & performance analysis: idea testing, scenario planning, and risk-adjusted reviews that turn strategies into executable plans. -Live trading support & mentorship: learn equity, futures & options trading and investing through pre-market planning, live market guidance , and structured coaching for traders and investors. Why clients choose me: I bring together professional credentials, real trading experience, and freelance client work to deliver insights that are precise, structured, and designed to drive execution. I'm always excited to collaborate with individuals and firms who value informed decision-making, market expertise, and a genuine passion for trading. Feel free to reach out with specific requirements or questions, and we can discuss how I can best support your objectives.

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