Research Article

Financial Trading Strategy System Based on Machine Learning

Table 1

Features and implication.

IndexCalculation methodImplication

ProfitabilityROENet profit/owner’s equityReturn on equity
ROANet profit/total assetsReturn on assets
ROSTotal profit/operating incomeReturn on sales

FluidityD/ELiabilities/owner’s equityDebt to equity ratio
Cash ratio(Current assets − inventory)/current liabilitiesRatio of quick assets to current liabilities
Current ratioCurrent assets/current liabilitiesRatio of current assets to current liabilities

Operating efficiencyEquity turnoverSales income/average shareholders’ equityThe efficiency of the company in using the owner’s assets
Asset turnoverSales income/average total assets
Average balance of total assets  =  opening balance  +  closing balance/2
An important financial ratio to measure the efficiency of enterprise asset management

Valuation indexB/MOutstanding stock  closing price/shareholder equityBook-to-market ratio
High B/M, considered to be undervalued by the market, resulting in high yield
P/EMarket price per common share/earnings per common share per yearPrice-to-earnings ratio
The lower the price earnings ratio is, the lower the profitability of the market price relative to the stock is
P/BShare price/net asset per sharePrice-to-book ratio
The higher the investment value of stocks with low market to net ratio is, the lower the investment value is
Market value of listed companyMarket price per share  total number of shares issuedThe total value of shares issued by a listed company at market price
TurnoverTrading volume/total issued sharesThe higher the turnover of a stock is, the more active the stock is in trading

β CoefficientSystematic risk coefficientRegression of the historical rate of return of a single stock asset to the index rate of return of the same periodβ describes the systemic risk of a fully diversified portfolio