TDXgongshi

可以预测后市的行情走市并画在K线图上，准确率很高。(Can predict the stock market outlook Abashiri and draw in the K-line diagram, the accuracy rate is very high.)

这是一本关于高频数据处理算法的matlab分析的教程，英文版，他所使用的是matlab R2010b版本。值得大家参考(This is an analysis on high-frequency data processing algorithms matlab tutorial, in English, he used matlab R2010b version. Worth reference)

一个很好的EA，MT4平台的应用，对美元和黄金，尤其是15分钟和30分钟图上，准确率60-80％(A good EA, the MT4 platform application, against the dollar and gold, especially 15 minutes and 30 minutes chart, accuracy rate of 60-80 )

说明：  使用强化学习完成股票预测。强化学习是机器学习的另一个分支，在决策的时候采取合适的行动 (Action) 使最后的奖励最大化。与监督学习预测未来的数值不同，强化学习根据输入的状态（如当日开盘价、收盘价等），输出系列动作（例如：买进、持有、卖出），使得最后的收益最大化，实现自动交易。(Using reinforcement learning to complete stock forecast)

说明：  遵守海龟交易系统，供交易测试学习使用，用于真实交易后果自负(turtle channel system)

多因子模型构建。多因子模型是量化选股中最重要的一类模型，其基本思想就是找到某些和收益率最相关的指标。并根据该指标，构建一个股票组合，期望该组合在未来的一段时间跑赢或者跑输指数。如果跑赢，则可以做多该组合，同时做空期指，赚取正向阿尔法收益；如果是跑输，则可以做多期指，融券做空该组合，赚取反向阿尔法收益。多因子模型的关键是找到因子与收益率之间的关联性。(Multi-Factor Model. Multi-factor stock selection model is to quantify the most important class of models, the basic idea is to find some of the most relevant and profitability indicators. And based on the index, to build a stock portfolio, expect the combination index outperformed or underperformed for some time in the future. If outperform, you can do more than this combination, but short of that, to earn positive alpha income if it is underperforming, you can do more than futures, short selling short the combination to earn a reverse alpha returns. Key multi-factor model is to find correlation between factors and yields.)

mt4指标，snake外汇交易系统,可以看行情趋势(mt4 indicators, snake forex trading system, you can see market trends)

MT4盈亏统计指标，最新版本可统计每天的盈利和浮亏，非常实用(MT4 profit and loss statistics indicators, the latest version of the daily statistics of profits and losses, very practical)

说明：  用matlab实现障碍期权的复制，并以此给障碍期权定价(Matlab realize with a copy of barrier options and barrier options as to the pricing)

说明：  Koop大神写出来的时变向量自回归模型的进化版，希望对大神写作有帮助。(The evolutionary version of the time-varying vector autoregressive model written by the Koop hopes, to be helpful to your writing.)