Question 1

What is QuantMyStocks?

Accepted Answer

QuantMyStocks is a momentum investing platform that ranks stocks from major U.S. indices (S&P 500, 400, 600, and NASDAQ 100) based on our proprietary algorithm. We provide daily rankings, backtesting tools, and automated trading capabilities to help you implement momentum strategies without writing code.

Question 2

How does the momentum algorithm work?

Accepted Answer

Our algorithm calculates a composite momentum score based on multiple timeframes (3-month, 6-month, and 12-month returns) with volatility adjustments. Stocks are filtered for liquidity and then ranked by their momentum score. This approach is backed by decades of academic research on factor investing.

Question 3

Do I need coding experience?

Accepted Answer

No coding experience is required. Our platform is designed with a no-code interface, making it accessible to traders of all technical backgrounds. For advanced users, we also offer API access and GitHub Actions integration for custom automation.

Question 4

How does automated trading work?

Accepted Answer

We integrate with Alpaca brokerage through GitHub Actions. You set up a workflow that runs on a schedule (e.g., daily at market open). The workflow fetches the latest rankings, calculates your target positions based on your settings, and executes trades automatically. You maintain full control and can disable it anytime.

Question 5

What is the minimum investment required?

Accepted Answer

There is no minimum investment for using our platform. However, for automated trading with Alpaca, they have no account minimum for paper trading and a small minimum for live trading. We recommend starting with paper trading to test strategies before committing real capital.

Question 6

How accurate is backtesting?

Accepted Answer

Our backtests use adjusted close prices to account for dividends and splits. While backtests cannot guarantee future performance, they help you understand how a strategy would have performed historically. We include important metrics like maximum drawdown, Sharpe ratio, and comparison to benchmarks.

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