Intraday Chinese Stock Trading with MLP Forecasts and Markowitz Portfolios

Summary

The document outlines an intraday strategy for Chinese stocks under the market’s T+1 trading constraint. It combines forecasts from a multilayer perceptron (MLP) with Markowitz portfolio optimization, using published stock data from the Shanghai and Shenzhen exchanges. The stated aim is to assess both intraday price prediction and portfolio construction within a trading strategy.

The account reports empirical findings that Markowitz optimization was profitable and that MLP-based intraday price prediction was validated. It then uses those components together to argue that the strategy is feasible. However, the excerpt gives no sample period, asset selection details, model specifications, performance figures, transaction-cost treatment, or out-of-sample procedures. The claims therefore cannot be independently assessed from this description, and they do not establish that the approach will remain profitable in live trading or across other market conditions.

Key ideas

• The strategy combines MLP price predictions with Markowitz portfolio optimization for intraday Chinese stock trading.
• The approach is designed around the T+1 trading constraint.
• The study uses published data from the Shanghai and Shenzhen stock exchanges.
• The excerpt reports favorable empirical results but omits details needed to evaluate robustness or live-trading performance.

Tags

# Intraday trading strategy based on time series and machine learning for Chinese stock market


# Intraday trading strategy based on time series and machine learning for Chinese stock market









This article comes up with an intraday trading strategy under T+1 using Markowitz optimization and Multilayer Perceptron (MLP) with published stock data obtained from the Shenzhen Stock Exchange and Shanghai Stock Exchange. The empirical results reveal the profitability of Markowitz portfolio optimization and validate the intraday stock price prediction using MLP. The findings further combine the Markowitz optimization, an MLP with the trading strategy, to clarify this strategy's feasibility.

Shown in full with attribution under the source's licence. Licence: abstract CC0

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