Python

Use market strength indicators cross strategy to backtesting Highlights Difficulty：★★☆☆☆ Use market strength indicators to do the moving average cross investment strategy Advice：We use various technical indicators and strict long & short filter condition to judge the numbers of stocks strength and calculate market long short indicators. Using moving average cross strategy and visualization trading […]

Exploiting the Logit & Probit regression model to analyze the chances of a company’s bankruptcy. Highlights Preface Predicting the future is what every investor wants to pursue, whether it is for the future market or the future of the companies and the industries. Still, there is always uncertainty and randomness in predicting the future, so […]

Monte Carlo Simulation Highlights Preface The purpose of Monte Carlo simulation is to estimate the likely outcome of an uncertain event, and it works by modeling the variables of the uncertain event by assuming a probability distribution. Also, each forecast period is constantly recomputing the results with a random set of numbers, resulting in a large […]

Highlights Preface when the United States 10Y Government Bond -United States 2Y Government Bond <0 ,we call it yield curve inversion 。 Usually longer-term bonds will have higher interest rates, but when the market have doubts about the economy ,yield cruve inversion happen! So in this article , we try to plot the Macroeconomic Index a year […]

Effective Explanatory Variables for Economic Growth Highlights Preface Least Absolute Shrinkage and Selection Operator, short as Lasso, is mainly used for variable selection and regularization in Regression. The function of “Penalty” setting would in Lasso lets us adjust the complexity. Therefore, with Lasso, we are able to alleviate “Overfitting”. Penalty in the model is used […]

along for the ride Highlights Preface we introduce the Momentum trade last time ,now we are going to teach you how to find this stock ,if we are not highly involved the marker,we often found in the news which already price in ,so what we want to do is find the stock automatic.It also can save […]

use volume indicator to backtesting , using 2618 Highlights Preface Nowadays Momentum trade are frequently used to trade strategy,we often talk about the price-volume relationship .So in this article we are going to talk about this strategy which based on abnormal growing of the trading volume.but this strategy doesn’t have the clear definition.so we write […]

Highlights Preface We are strange and familiar with the winning rates, odds, and betting ratios. We often depend on our sentiment to multiply the winning percentage and odds in our hearts and determine the betting ratio of the investment. Therefore, it’s difficult to explain our subjective betting ratio to someone. It is inevitable in investment […]

First of all, we would implement the process to construct models so as to make you understand the application of python packages. However, in case of redundancy of this article, there is no hypothesis test. Subsequently, we would calculate the forecasted return and price. Last but not least, apply visualization to compare the prediction and actual trend to assess the result of ARMA-GARCH.

Return of TAIEX before & after Market Closure Period Highlights Preface Chinese New Year is the most important festival of Chinese society. Traditionally, it is the genuine year-end. Stock market participants would conclude market performance in past year and begin the project targeting upcoming year. Therefore, this article would take Chinese New Year as the […]

Establish a pairs trading strategy between Evergreen Shipping and Yang Ming Shipping with Python. Highlights Preface When the market capital is excessively flooded, to avoid systemic risks, investors often establish long and short positions at the same time through asset allocation to eliminate most market risks and obtain stable returns. However, we select Evergreen and […]

First of all, we need to declare the Time Series concept. It is a kind of data structure showing the development of historical data by the order of time. As for Time Series Model, it is applied to analyze time series data. Further, by this model, we manage to find high-likelihood trend and make forecasting.