RSI and Moving Average Crossovers for Crypto Trading

Summary

This strategy calculates RSI from price changes and smooths it with a simple moving average. It buys when RSI crosses above its average and sells when RSI crosses below, reversing between long and short positions. The document also describes the conventional RSI levels associated with overbought and oversold conditions, although those thresholds are plotted rather than used as trade filters. The RSI lookback and smoothing window are configurable.

The published setup uses BTC/USDT futures with daily bars and hourly base data, but gives no performance statistics. Its explanatory text says the average crossing above RSI is a buy signal, while the source code actually buys when RSI crosses above the average; the source’s crossover rules are used here. The source also makes its date-window function always true, so the configured testing dates do not gate trades. The discussion notes that crossover systems can produce false signals, incur trading costs, and need separate risk controls; it does not establish that the approach is profitable.

Key ideas

• The strategy trades crossovers between RSI and a simple moving average of RSI.
• It opens long positions when RSI crosses above its average and short positions when RSI crosses below.
• The plotted overbought and oversold levels do not appear in the source's entry or exit rules.
• The source's date-window function is always true, so configured test dates do not limit trading.
• No performance results are supplied, and costs, false signals, and risk management remain concerns.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.