BTC/USD Strategy Backtest

₹1500-12500 INR

Closed

Posted about 1 month ago

₹1500-12500 INR

Paid on delivery

I need a thorough historical back-test of my cryptocurrency trading strategy on the BTC/USD pair. My rules are already defined; what I’m missing is a clean, data-driven validation of how the system would have performed in the real world. Here’s what I’m looking for: • Source or supply reliable BTC/USD price history and cleanse it for splits, forks or data gaps. • Code the entry, exit and risk-management logic exactly as provided (Python with pandas, NumPy and, if convenient, Backtrader or a similar library is preferred, though you’re free to use another framework if it delivers the same level of transparency). • Run the strategy across multiple time frames so I can see robustness. • Deliver a metrics pack that covers total and annualized return, Sharpe ratio, profit factor, max drawdown, win/loss rate and a full trade log. • Supply equity-curve and drawdown charts plus the full source code so I can rerun or tweak the test later. Accuracy and reproducibility are critical; if any assumption has to be made, document it clearly. I’ll provide the strategy rules as soon as we start.

Software Architecture

Mathematics

Trading

Financial Markets

Project ID: 40322231

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4 proposals

Remote project

Active 23 secs ago

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4 freelancers are bidding on average ₹11,000 INR for this job

@Milvetti

Hi, we can help you with your BTC/USD strategy backtest in Python (Backtrader). We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

₹10,000 INR in 2 days

5.0

(80 reviews)

6.6

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

₹10,000 INR in 3 days

5.0

(15 reviews)

4.4

@ahmedtahash

Hi! Here is the plan: implement a clean, reproducible backtest of your BTC/USD strategy using Python, pandas, and optionally Backtrader. Fetch and cleanse historical data, handle forks or gaps, and code your entry, exit, and risk rules exactly as provided. Run the strategy across multiple timeframes, generate equity curves, drawdown charts, and produce a metrics pack with Sharpe, PF, max drawdown, win/loss rates, and a full trade log. Ensure all assumptions are clearly documented for transparency. Do you want the backtest to include intraday data for higher precision, or is daily OHLC sufficient for your analysis? Estimated time: 5–7 days. Ready to start as soon as the strategy rules and preferred historical data source are provided.

₹7,000 INR in 7 days