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I need a robust, fully-coded trend-following algorithm tailored for index and commodity futures. The goal is to automate short (sell-side) entries and exits, complete with risk management and position sizing logic, so I can deploy it straight into my brokerage platform without manual intervention. Core requirements • The strategy must be 100 % trend-following—no mean-reversion or arbitrage logic. • Results should be reproducible on minute-level historical data and live tick data. • All parameters (look-back, stop-loss, trail, position size) should be externally configurable so I can fine-tune them later. Deliverables 1. Clean, well-commented source code in a widely-used language for futures trading (Python, Pine Script, or similar—advise on best fit). 2. A back-test covering at least five years of continuous futures data, with summary metrics (CAGR, max drawdown, Sharpe, win/loss). 3. Forward-test demo or paper-trading proof to confirm the strategy behaves the same live. 4. Brief hand-off guide so I can tweak inputs and roll the code to new contracts myself. Acceptance criteria – Net profitability and drawdown numbers must match your back-test within a 5 % tolerance when I run the code on my own machine. – No repainting or look-ahead bias. – Execution latency under 500 ms on typical retail hardware. Timing I’m ready to start today and I need a first functional version ASAP, with a complete, tested hand-off as soon as practical. If you have a proven record building futures trend algos, let’s get this running.
ID do Projeto: 39963117
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8 freelancers estão ofertando em média ₹10.375 INR for esse trabalho

Hi, how are you doing? I have solid hands-on work building automated futures trend-following systems, including robust risk controls, external parameterization, and fast execution on retail hardware. I’ve deployed Python-based algo suites with backtests spanning multiple years, clean, well-commented code, and straightforward hand-off guides; I can demo prior futures trend projects and tailor the setup to your broker/API. Let me know if you want to review a sample approach and data flow to ensure you get a reproducible, no-repaint solution.
₹10.000 INR em 5 dias
3,4
3,4

Hello, I can build your Futures Trend-Following Algo and deliver a production-ready, well-documented solution you can backtest and run live. What I’ll deliver: • Clean Python code (PEP8) implementing the trend-following rules, configurable inputs (look-back, SL, trail, position sizing). • Backtest module using historical minute data with full metrics (CAGR, max drawdown, Sharpe, trade log, equity curve). • Paper-trade / forward-test harness that runs against a broker or simulator. • YAML/JSON config, logging, and README for deployment on VPS. • Short hand-off session and concise changelog. Approach: • Modular design: data ingestion → signal engine → order manager → risk layer. • Use pandas/numpy for data, vectorised signals, and a reliable backtest engine (custom or Backtrader-like). • Emphasise no look-ahead bias, clear unit tests, and reproducibility. Next steps: Share preferred language (I recommend Python), sample historical data or broker API details, and acceptance criteria; I’ll prepare a fixed-scope proposal and first milestone plan. Ready to start.
₹28.000 INR em 15 dias
3,8
3,8

With my extensive programming background and vast experience in financial analysis, I am confident that I can deliver the robust and fully-functional trend-following algorithm you are looking for. Having worked extensively with Python, a language widely used in futures trading, I can guarantee a clean and well-commented source code that is easily adaptable to your brokerage platform. One thing that differentiates me from other freelancers is my meticulous approach towards back-testing. For your project, I will conduct a comprehensive back-test covering at least five years of continuous futures data producing accurate summary metrics such as CAGR, max drawdown, Sharpe ratio, and win/loss percentage. I will then execute a forward-test demo to validate the strategy's behavior in live trading, ensuring consistency between tests. Moreover, I understand the value of time in this field. As someone who has programmed numerous successful trading strategies in the past, I know the importance of generating results quickly. Rest assured, with me on board, you'll have a production-ready solution in the shortest possible time that meets your standards. Don't let another moment pass; let’s seize this opportunity to make your futures trading more profitable!
₹10.000 INR em 3 dias
3,5
3,5

Hello, I’m Rahul Singh from Team Velora. With 3 years of experience developing fully automated trading strategies, I specialize in clean, well-documented trend-following algorithms for futures and indices. I’d be happy to connect in private chat to review your requirements and deliver a robust, configurable Python or Pine Script solution, complete with back-testing, forward-testing, risk management, and position sizing—ready to deploy directly to your brokerage platform.
₹7.500 INR em 13 dias
3,1
3,1

I am an expert in the required skills with over 13 years of professional experience. I have successfully completed similar projects with high-quality results. My focus is on accuracy, efficiency, and client satisfaction. Ready to start immediately and deliver exceptional work.
₹7.500 INR em 7 dias
1,0
1,0

Dear Client I saw your requirements regarding to develop a auto trading bot for index and commodity futures using python. I can develop this application ASAP based your requirements. I developed many applications is similar to your requirements. Such as indicators, analysis applications, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K
₹5.000 INR em 1 dia
0,0
0,0

Hello! I'm an experienced algorithmic trading developer with a strong background in building trend-following strategies for futures markets. I understand you need a robust algo that identifies trends, executes trades based on indicators like moving averages, MACD, or ADX, and includes comprehensive backtesting to validate performance. My plan: Gather requirements: Discuss specific futures (e.g., commodities, indices), timeframes, and risk parameters to tailor the strategy. Develop the core strategy: Implement trend detection using technical indicators, entry/exit rules, position sizing, and stop-loss/take-profit in Python with libraries like Backtrader or Zipline for efficient simulation. Backtesting module: Create a backtester with historical data from reliable sources (e.g., Quandl, Yahoo Finance), incorporating slippage, commissions, and drawdown analysis. Generate reports with metrics like Sharpe ratio, win rate, and equity curves. Optimization and testing: Use walk-forward optimization to avoid overfitting, plus forward/paper testing integration if needed. Deliverables: Clean, documented code, Jupyter notebooks for visualization, setup guide, and one round of revisions.
₹7.500 INR em 5 dias
0,0
0,0

Riyadh, India
Membro desde nov. 9, 2025
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