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A Moving Average and MACD Rule for CSI 300 Stocks

Article BigQuant

Summary

This Chinese-language assignment turns a discretionary trading idea into a simple rule for constituents of the CSI 300: buy when the five-day moving average crosses above the ten-day average and MACD is positive, and sell otherwise. It also sketches a general quantitative strategy workflow, moving from defining the stock universe and extracting features to setting selection or ranking conditions, allocating positions, backtesting, and then testing on future data in a simulated account.

The document is a concise educational exercise rather than a tested strategy report. It provides no indicator definitions beyond the named conditions, no trading frequency, execution assumptions, position sizing details, or backtest and simulation results. The outline is useful as a basic development sequence, but it does not address validation design, transaction costs, or risk controls, and the rule's profitability is not established.

Key ideas

  • The proposed universe is the set of CSI 300 constituent stocks.
  • The rule buys on a five-day versus ten-day moving average bullish crossover when MACD is positive.
  • The rule sells when its stated buy conditions do not hold.
  • The proposed workflow includes universe selection, feature extraction, signal design, position allocation, backtesting, and simulated forward testing.
  • No evidence is provided that the indicator rule is profitable.

Tags

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