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Anmol P.
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Anmol P.

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

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 โ€ข 100% Job Success โ€ข Top Rated Plus ALGO TRADING & QUANT SYSTEMS โ”€โ”€โ”€ 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 โ€” 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 โ€ข 60+ backtesting frameworks โ€ข 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 โ”€โ”€โ”€ 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: โ€ข Lightning detection efficiency analysis for Boltek and ISRO (Boltek's storm tracking systems are deployed by the US Army and Toronto's CN Tower) โ€ข Sentiment analysis and review correlation for J Turner Research, the US multifamily industry's leading reputation analytics firm (148,000+ properties tracked) โ€ข Booking calendar optimisation for ServiceMarket, Dubai's largest home services marketplace (acquired by Etisalat for $22M) โ€ข Pricing and inventory analysis for Triton's Amazon launch Tools: Python, SQL, R, Pandas, NumPy, Scikit-learn, Excel, BigQuery AI AGENTS & AUTOMATION โ”€โ”€โ”€ 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 โ”€โ”€โ”€ 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 โ”€โ”€โ”€ โ–ธ 30-min consultation ($100) to see if it's a fit, reimbursed in full if we work together โ–ธ Share your project, we scope it in 24 hours โ–ธ 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.

๐Ÿ‡ฎ๐Ÿ‡ณMumbai, India$110/hr100% JSS4.67 (93)Since Mar 2021
GlobeUpwork
MRR
$3,577
๐ŸŒ#9,673/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#1,227/40.5K
Recent Earnings
$21,460
๐ŸŒ#9,673/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#1,227/40.5K
Total Earnings
$67,579
๐ŸŒ#54.7K/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#8,473/40.5K
Avg. Per Project
$588
๐ŸŒ#155K/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#19.4K/40.5K
Recent Projects
18
18f5h
๐ŸŒ#21.7K/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#3,860/40.5K
Total Projects
115
106f22h
๐ŸŒ#21.7K/363K
๐Ÿ‡ฎ๐Ÿ‡ณ#3,860/40.5K
MRR Performance Over Time
$50k$25k$0
6 mo ago3 mo agoNow
Coming SoonGathering historical data
World Skill Rankings
of 106
#4
Stock MarketTop 3%
#4Derivatives Trading
#6Predictive Modeling
#7Time Series Analysis
#10Quantitative Finance
#10Cryptocurrency Trading
#13Forex Trading
#14Trading Strategy
#23Trading Automation
#23Quantitative Analysis
#28Statistical Analysis
#101Financial Modeling
#417Machine Learning
#846API Integration
#1,346Python
๐Ÿ‡ฎ๐Ÿ‡ณIndia Skill Rankings
of 24
#1
Stock MarketTop <0.01%
#1Time Series Analysis
#1Derivatives Trading
#1Forex Trading
#2Predictive Modeling
#2Trading Strategy
#3Quantitative Finance
#3Statistical Analysis
#4Trading Automation
#4Cryptocurrency Trading
#5Quantitative Analysis
#10Financial Modeling
#60Machine Learning
#181API Integration
#188Python
Anmol P. โ€” Top 3% in India | UpworkMRR