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USD
I will develop quantitative trading systems in python for funded traders
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
I transform trading ideas and strategies into robust, auditable quantitative systems designed for real-world prop firm rules.
I develop custom Python systems that integrate signal research, statistical modeling, Machine Learning, data engineering, risk modeling, and execution.
The project can start from a hypothesis, strategy, or existing code and include data preparation, backtesting, Out-of-Sample testing, Walk-Forward Analysis, Monte Carlo, sensitivity, regime and stress testing, costs, slippage, and stability testing.
The system can incorporate daily loss limits, total or trailing drawdown, consistency rules, exposure limits, position sizing, trading hours, news restrictions, and other account constraints. Depending on scope, I can prepare platform/API integrations, paper trading, live or semi-live execution, automation, monitoring, and documentation.
You receive reproducible code, clear assumptions, and verifiable controls.
I do not promise approval, profits, or unrealistic win rates. I deliver disciplined research, statistical evidence and reliable engineering.
Contact me before ordering so we can align on the prop firm, market, data, rules, and project scope.
Platform:
Prop firm
•
MT5
•
NinjaTrader
Development technology:
Python
•
MQL5
•
NinjaScript
FAQ
Do you build the system from scratch, and what is the difference between the packages?
I can start from a hypothesis or reconstruct an existing strategy or codebase. Foundation delivers research and a Python prototype; Validated adds modular architecture, robust validation, risk controls, and paper trading; Production includes execution, automation, monitoring, and deployment.
Which prop firms and account models can the system be adapted to?
I support FTMO, The5ers, FundedNext, Topstep, Apex Trader Funding, Take Profit Trader, E8 Markets, BrightFunded, Funding Pips, and others with verifiable rules. I treat evaluation and funded accounts as distinct regimes, considering limits, resets, payouts, and operational restrictions.
Which markets and instruments do you work with?
My primary focus is CME Group futures: NQ/MNQ and ES/MES (CME), GC/MGC (COMEX), and CL/MCL (NYMEX). I also develop systems for FX, indices, CFDs, stocks, options, and crypto when compatible with the prop firm, data, and execution environment.
Which platforms, infrastructure, and data sources can you integrate?
Depending on the access authorized by the prop firm, I can integrate Rithmic, CQG, Tradovate, NinjaTrader, MetaTrader 5, cTrader, DXtrade, and REST, WebSocket, or FIX APIs. For research, I use client-provided data, Databento, or QuantConnect datasets. External licenses and costs are not included.
What technical stack do you use from research to production?
The core stack is Python, with SQL and C++ when needed. For research, I use pandas, NumPy, SciPy, statsmodels, scikit-learn, XGBoost, PyTorch, QuantConnect, vectorbt, and backtrader. For production, I use FastAPI, Git, Linux, Docker, pytest, CI/CD, databases, APIs, VPS, and cloud infrastructure.
How do you perform backtesting and validation?
The protocol is calibrated to the market, timeframe, and available data. It may include costs, slippage, Out-of-Sample testing, Walk-Forward Analysis, Monte Carlo, sensitivity, parameter stability, regime analysis, stress testing, and controls for look-ahead bias, data leakage, and overfitting.
How is the system adapted to prop firm rules?
I convert daily loss limits, fixed or trailing drawdown, contract limits, consistency rules, exposure, trading hours, news restrictions, scaling rules, and other constraints into a verifiable risk layer, with pre-trade blocks, intraday controls, shutdown logic, and evaluation-specific metrics.
Do you prepare the system for paper trading and live operation?
Yes. Validated can include the pipeline and environment required for paper trading. Production can cover live or semi-live execution, automation, monitoring, alerts, logging, reconciliation, and deployment. Feasibility depends on the available APIs, infrastructure, and prop firm rules.
What do I need to provide to start the project?
Send the prop firm, account rules, instrument, timeframe, platform, data, risk limits, objective, execution environment, and any existing strategy, code, or reports. Complete materials enable a more precise assessment, scope, and architecture. Please contact me before ordering.
How do you handle communication and confidentiality?
Communication takes place primarily through Fiverr chat and written documentation, preserving precision, traceability, and auditable decisions. Short calls may be used for alignment or demonstrations. I can work under an NDA, and strategy, code, data, documentation, and results remain confidential.
