Trade Manager

Backtest a trading setup on every S&P 500 stock since 2017 and compare it with random days. rule: a formula in Trade Manager's language (see the server instructions), e.g. "rsi < 30". horizon_days: how many trading days after the signal to check (1-60, default 20). Returns how often the stock was higher after the signal vs random days on the same stocks (same year, never the signal's own month) and vs the stock's all-days rate, split by period, plus a plain verdict and recent examples. History, not a prediction.

List the S&P 500 stocks that match a setup at the latest daily close (e.g. "what broke out today on volume"). rule: a formula in Trade Manager's language, e.g. "close > prev_high and volume > volume_avg * 1.5". limit: max stocks to return (default 25). Stocks where the rule just turned true come first, then by volume vs their 20-day average. Uses end-of-day data, not live prices.

How to write a rule for test_setup and scan_today: the available names, operators and examples.

Takes no parameters.

What happened on the S&P 500 at the latest close: how many stocks rose and fell, how many sit 10%/20% below their 1-year high, and today's matches for fixed scans (5% drops with RSI under 30, breakouts on 2x volume, RSI above 80, 200-day dips in an uptrend, golden crosses, 5% drops), each with its record since 2017 vs random days and, where one exists, a link that opens that exact alert on trademanager.site.