CaoYuan's Blog

This visualization panel is applicable to the visualization of the backtest results of a series of time-testing strategies with only different parameters and all other backtesting conditions are the same, which integrates the post based on the visualization of the backtest results of the n-parameter strategy with parallel coordinates, a better evaluation function of the capital curve, and the results of the strategy visualization echarts charts enhancement (new version), which contains quite a comprehensive visualization and analysis functions.

Automated Coin Selection Script Takes You to a Manual Live Coin GridAfter tonight’s BTC pin market quite a few students in the grid group group to share real disk screenshots, make everyone itchy to try. In fact, I have long planned to play in the real disk, see everyone eat meat after no longer wait, stay up all night also want to hurry to take advantage of the market to come immediately after the run up. Sources of grid parametersThe grid was created along the same lines as the parameters util ...

Simple live implementation of the FLASH strategy without any changes to the original frameworkLive implementation of the FLASH strategy (based on a small change in the framework) First post the signal code: 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313 ...

In the field of financial investment and quantitative trading, machine learning algorithms are becoming more and more popular and prevalent, because we humans can generally find linear relationships between cause and effect through observation, while non-linear relationships are not strong enough, so we have to rely on these machine learning algorithms to help us make smarter investment and trading decisions.

A month ago according to the big brother's V5 framework, in the live run through the single account, and experimented for a period of time, up to open to 3 py exchange will reject the request, so the integration of multi-account ideas and frameworks, mainly in order to satisfy like me, apply for the Okex API late, can only be used with the V5, and the need for multi-account smoothing the funds curve boss.

And with the container, you can completely copy the boss (clone) my deployment environment, all you have to do is with their own API key, knock a line of code, and then the money machine up, happy?

aioquant is an asynchronous quantitative framework where traders can conduct high frequency quantitative trading

Quantitative trading and digital currencies have become a cancer in the eyes of most people. Especially when these two tumors have the ability to combine together, it is simply necessary to get rid of them.

There are a lot of resources on multi-factor quantitative trading strategies for stocks, but not many articles on digital currencies, this article is a replica of the inventor's multi-factor strategy for digital currencies above, with slightly different results than the original

COREY HOFFSTEIN's article, I feel very valuable, translated here to learn together, very long article After reading it, but let a person feel very profitable