Create portfolio backtests quickly and easily by describing them in plain english. Our AI will find the relevant Stocks or ETFs and create the backtest for you.
Create portfolio backtests quickly and easily with AI
Create portfolio backtests quickly and easily by describing them in plain english. Our AI will find the relevant Stocks or ETFs and create the backtest for you.
📈 AI-powered portfolio backtesting? This could revolutionize how traders and investors validate strategies! The key will be accurate historical data modeling and realistic slippage calculations. #FinTech
Hi everyone! I built Portfolio Backtest because I wanted an easy way to backtest hypothetical portfolios. Alternatives required you to fill out long complicated forms to construct the backtest but I wanted something where you could just describe what you wanted in plain english. Once created I wanted it to be able to track CAGR, portfolio value over, returns by year, drawdowns and a range of other metrics.
Sounds awesome! But how accurate are the AI's stock picks? 🧐
This is HUGE for retail investors! Finally, you can test 'buy tech stocks during market dips' without learning Python or finance jargon.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.