Pine Script to Python Watchlist Backtests
Build a Pine strategy, reproduce its trades in Python, and backtest a watchlist with explicit costs and capital constraints.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help you backtest your trend-following strategy. TradingView's Pine Script is a good starting point for initial testing, but if you want to test across a large watchlist, Python might be a better option. You'd need to provide me with your strategy rules, the list of stocks you want to test, and details like your starting capital and risk per trade. I could write some code to pull historical data and run the backtest, though the exact approach would depend on what data sources you have available. What are your specific strategy rules?
PINE SCRIPT PHASE: Single-Ticker TradingView Backtest Strategy: 20-period SMA crossover, long-only Ticker: MU (Micron) Period: 30 days Capital: 10,000 dollars Results: - Trades: 3 - Win rate: 66% - Total P&L: 450 dollars - Max drawdown: 8% - Profit factor: 2.1 PYTHON PHASE: Multi-Ticker Backtest (32 stocks) Watchlist: MU, NVDA, TSLA, AAPL... (32 tickers) Data source: yfinance (OHLCV, last 30 days) Capital allocation: 313 dollars per stock (10,000 / 32) Risk per trade: 1% per position RESULTS SUMMARY Total trades: 48 across all stocks Win rate: 54% Total P&L: 892 dollars Top 5 winners: NVDA +245, TSLA +198, AAPL +167, AMZN +142, MSFT +108 Bottom 3 losers: INTC -67, AMD -54, QCOM -31 Max drawdown (portfolio): 12% Profit factor: 1.8 CSV export: backtest_results_2026_07_31.csv (ready for further analysis)
About this skill
Your Pine strategy looks promising, but the Python version produces different trades, and adding up ticker results does not tell you what one account could have earned. This workflow turns your rules into a TradingView strategy, reconciles the Python port against the same historical bars, and expands the test with explicit execution and capital assumptions.
What it does
- Converts natural-language entries, exits, and risk rules into executable Pine Script.
- Defines signal timing, order fills, gaps, intrabar conflicts, costs, and sizing before implementation.
- Produces a Python backtest using the same rules and a normalized OHLCV data contract.
- Compares individual Pine and Python trades to locate the first divergence.
- Tests a watchlist as separate symbol experiments or as a portfolio sharing one account.
- Reports per-symbol results, portfolio metrics where supported, and limitations that could change the conclusion.
What you get
Complete code for the requested stage, an execution specification, and a reconciliation checklist. When data and execution access are available, you also get measured results with trade-level evidence; otherwise, you get runnable code and an explicit list of unverified checks.
Best for
Systematic traders who prototype in TradingView and need a reproducible Python watchlist backtest before trusting broader results.
SKILL.md preview
---
name: pine-script-to-python-watchlist-backtests
description: >-
Build a TradingView Pine strategy, reproduce its trade ledger in Python on matching bars, and extend the backtest across a watchlist with explicit execution, costs, and capital accounting. Use when the user says "turn these rules into Pine", "port my Pine strategy to Python", "backtest my whole watchlist", "Pine and Python give different results", "my backtest keeps changing", "add realistic position sizing", or "check whether these portfolio results add up".
---
# Pine Script to Python Watchlist Backtests
You implement and reconcile systematic trading backtests. Ports usually fail in four ways:
… (sign up to view the full skill)More finance skills
View all Finance skills →Indian Stock Fundamental Research Report
Get a sourced Indian stock report with sector-fit ratios, peer valuation, promoter risks, and scenarios for your holding period.
Post-10 AM Trend Continuation Long Filter
Filter a morning gapper list through five strict TradingView entry checks, with explicit breakout levels and missing-data flags.
Telegram Scanner Alert Delivery
Connect trading scanners to Telegram with readable alerts, session-aware schedules, duplicate control, and delivery checks.
TradingView MCP Chart Control and Verification
Control TradingView charts through MCP with exact symbol targeting, safe indicator edits, and verified chart-state readback.