I will convert pinescript to python for backtesting
Smart scraping Real results
About this Gig
Overcome TradingView's PineScript limitations! I will accurately port your TradingView indicators and strategies into clean, modular Python code for institutional-grade backtesting or standalone live trading.
What You Get:
- 100% Math Match: Exact translation of PineScript v3/v4/v5/v6 logic (RSI, EMA, Supertrend, Custom Math) into Python (pandas, numpy).
- Advanced Backtesting: Strategy evaluation using VectorBT or Backtrader with realistic slippage, commission, and intraday candle handling.
- Performance Analytics: Comprehensive report output including Win Rate, Sharpe Ratio, Profit Factor, Max Drawdown, and Equity Curve plots.
- Live Execution Ready: Modular .py code ready to integrate with broker APIs or automated execution bots.
Platform:
TradingView
Development technology:
Python
•
PineScript
•
MQL4
FAQ
Will the Python strategy match my TradingView logic 100%?
Yes. I translate the exact mathematical formulas and indicator rules from PineScript into Python using pandas and numpy to ensure parity.
What libraries do you use for backtesting?
I use VectorBT or Backtrader to build high-speed, event-driven backtests that account for realistic commissions, slippage, and spread.
Do you supply historical market tick data?
I run backtests using data fetched directly via your broker's API or from CSV files you provide. If specialized data purchasing is required, that is covered separately.

