Trading Strategies: Earning More in Investment
Yueying Ma, Yan Mi, Yujing Bian

TL;DR
This paper introduces the CTP Model, a unified system of predictive and evaluative tools designed to optimize daily trading decisions for gold and bitcoin based on historical price data, risk, and return assessments.
Contribution
The paper presents the novel CTP Model that predicts prices and evaluates risk-return trade-offs for daily trading strategies using historical data.
Findings
The CTP Model effectively predicts daily price movements.
It provides optimal trading strategies under various risk levels.
The model achieves higher returns compared to baseline methods.
Abstract
Gold and bitcoin are not new to us, but with limited cash and time, given only the past stream of the daily price of gold and bitcoin, it is a kind of new problem for us to develop a certain model and determine the best strategy to get the most return. Here, our team members analyzed the data provided and finally made a unified system of models to predict the price and evaluate the risk and return in our act of investment, and we name this series of models and measurements as CTP Model. This is a model which can determine and describe what transaction should the trader make each day and what is the certain maximum return he will get under different risk levels.
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Taxonomy
TopicsStock Market Forecasting Methods
