Tradingview Pinescript code to Python for S&P 500 Python Backtesting
Budget: $250 – $750 AUD
I am looking for an experienced programmer to help with the conversion of a Tradingview pinescript to Python. This project revolves around implementing, backtesting, and analyzing a trading strategy for the S&P 500 index specifically on the 30mins timeframe. Although I did not specify the exact indicators or strategies from the pinescript, I anticipate the application of standard technical analysis tools such as Moving Averages, RSI, MACD among others.
**Key Requirements:**
- Convert Tradingview pinescript into Python code. An understanding of financial market indicators and the ability to interpret and convert them is necessary.
- Execute backtests for the S&P 500 30min timeframe, applying the converted Python script.
- Provide a comprehensive report featuring:
- Detailed charts and graphs illustrating the backtesting results.
- Summary of key metrics, including PnL, Profit Factor, Max Drawdown, and ideally an Equity Curve.
**Preferences for Backtesting Process:**
- Incorporate specific parameters like Trade Size, Stop Loss level, and Take Profit level as part of the backtesting. Exact values will be provided upon project commencement.
**Ideal Skills and Experience:**
- Proficiency in Python, particularly with data analysis and financial market packages.
- Experience with Tradingview and Pinescript.
- Understanding of technical analysis indicators used in trading.
- Familiarity with financial backtesting frameworks and the ability to produce visually engaging reports.
- Strong analytical skills to interpret backtesting results and suggest potential improvements.
The goal is not only to convert the script and backtest it but also to understand the strategy's effectiveness through detailed analysis. Thus, the ability to deliver both technical conversion and insightful analysis is highly valued.
**Key Requirements:**
- Convert Tradingview pinescript into Python code. An understanding of financial market indicators and the ability to interpret and convert them is necessary.
- Execute backtests for the S&P 500 30min timeframe, applying the converted Python script.
- Provide a comprehensive report featuring:
- Detailed charts and graphs illustrating the backtesting results.
- Summary of key metrics, including PnL, Profit Factor, Max Drawdown, and ideally an Equity Curve.
**Preferences for Backtesting Process:**
- Incorporate specific parameters like Trade Size, Stop Loss level, and Take Profit level as part of the backtesting. Exact values will be provided upon project commencement.
**Ideal Skills and Experience:**
- Proficiency in Python, particularly with data analysis and financial market packages.
- Experience with Tradingview and Pinescript.
- Understanding of technical analysis indicators used in trading.
- Familiarity with financial backtesting frameworks and the ability to produce visually engaging reports.
- Strong analytical skills to interpret backtesting results and suggest potential improvements.
The goal is not only to convert the script and backtest it but also to understand the strategy's effectiveness through detailed analysis. Thus, the ability to deliver both technical conversion and insightful analysis is highly valued.