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Fiverr Pro
English
$
USD
I will build institutional quantitative trading systems in python
Quantitative Developer: Research, Backtest and Deploy Trading Systems
I work with professional traders, prop firms, hedge funds, managers and fintechs to research, validate, and develop quantitative trading systems—from alpha discovery to production deployment. I turn m...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Plug-and-play quantitative trading systems available.
I build custom, production-ready systems for professional traders, hedge funds, family offices, asset managers, and fintechs that demand performance, auditability, and full control.
Markets:
Crypto assets: Binance, Coinbase, Bybit, OKX, Kraken, and Deribit.
Stocks, ETFs, and options: NYSE, Nasdaq, and Cboe.
Futures and commodities: CME, CBOT, NYMEX, COMEX, ICE, and Eurex.
Forex, CFDs, and fixed income: subject to availability.
Execution and connectivity:
Interactive Brokers, Saxo Bank, Trading Technologies, CQG, and Rithmic via REST, WebSocket, or FIX.
Institutional data:
Bloomberg, LSEG, FactSet, S&P Global, Databento, RavenPack, and licensed feeds. Pipelines for tick-by-tick data, L2/L3 order books, point-in-time fundamentals, corporate events, macro data, news, social media, and alternative data.
Systems may combine algorithmic trading, quantitative modeling, ML/DL, reinforcement learning, and NLP.
I deliver modular, scalable architecture, realistic backtesting, OOS, walk-forward, Monte Carlo and stress testing, risk management, automated execution, monitoring, documentation, and full source code ownership.
FAQ
What do you need from me before we begin?
Send the market, instruments, timeframe, hypothesis or rules, data source, broker or exchange, risk requirements, and execution environment. Please contact me before ordering so I can confirm feasibility, scope, timeline, and deliverables.
Do you develop the strategy or only implement existing rules?
Yes. I can implement a fully specified strategy, review an existing system, or conduct quantitative research based on a clear hypothesis. However, research does not guarantee that a robust, tradable edge will be found.
What is the difference between the three packages?
Foundation covers the strategy, data, risk, and an initial backtest. Validated adds a modular system, OOS validation, realistic execution, and paper trading. Production includes advanced validation, automated execution, monitoring, and deployment support.
Which markets, exchanges, and trading venues do you support?
Crypto: Binance, Coinbase, Kraken, OKX, Bybit, and Deribit. Stocks/ETFs: NYSE, Nasdaq, LSE, Euronext, Xetra, SIX, JPX, HKEX, ASX, and B3. Futures/options: CME Group (CME, CBOT, NYMEX, and COMEX), Cboe, ICE, Eurex, and SGX. I also work with FX and fixed income.
Which brokers, execution platforms, and data sources can you integrate?
Execution: Interactive Brokers, Trading Technologies, CQG, Rithmic, FlexTrade, and Bloomberg EMSX via REST, WebSocket, or FIX. Data: Bloomberg, LSEG, FactSet, S&P Global, ICE Data Services, MSCI, Databento, and RavenPack. Licenses and third-party costs are not included.
What is your technical stack, and how do you use AI?
Python, SQL, and C++; pandas, NumPy, statsmodels, scikit-learn, XGBoost, and PyTorch; QuantConnect/LEAN, vectorbt, and backtrader. Where appropriate, I use ML/DL, NLP, and reinforcement learning. Production stack: Git, Linux, Docker, APIs, testing, CI/CD, databases, VPS, and cloud.
How do you test and validate a trading system?
Depending on scope, I model realistic costs, spreads, and slippage and use OOS, walk-forward, Monte Carlo, sensitivity, regime, and stress testing. I also check for overfitting, look-ahead bias, data leakage, parameter stability, and execution risks.
What does “production-ready” mean in this Gig?
It means modular architecture, documented assumptions, tests, logs, risk controls, and realistic execution. Depending on the package, it may also include APIs, automation, monitoring, failure recovery, paper trading, and assisted deployment to a VPS or cloud.
Do you guarantee profits or specific performance?
No. Trading involves risk, and no backtest or model can guarantee future results. I deliver auditable research and engineering, realistic assumptions, risk controls, and reproducible evidence to assess the system's technical merit.
How do you handle communication and confidentiality?
Communication takes place primarily through Fiverr chat and written documentation, ensuring accuracy, traceability, and auditable decisions. Short calls may be used for alignment or demonstrations. I can work under an NDA; your strategy, code, data, documentation, and results remain confidential.
