多货币多周期切换指标

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)

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)

说明：  pro indicator for forex trading

说明：  以Treynor Black的方式将20支股票及无风险利率产品的投资组合进行优化的方式，并且以夏普值等数据评价其优劣(Way to Treynor Black 20 stock portfolio and the risk-free interest rate products optimized manner, and with the value of Sharp and other data to uate the pros and cons)

金融计算小程序，用于VaR计算等，可以在matlab下运行。(Financial computing applet)

在MT4软件统计历史交易盈亏情况的脚本，比较实用的小功能(In the MT4 trading profit and loss situation software statistical history of the script, more practical small features)

黄金甲5B对冲套利ea,5个货币一起开单一起平仓，稳定盈利浮亏小。(Gold a 5B hedge arbitrage ea,5 currencies open an order together with a liquidation, stable profits and small losses.)

mt4常用函数，不包括所有，但全部是常用的，不看后悔！(Common function)

用java编写的算法交易软件。包括获取股票数据、分析、下单等全部功能。(AlgoTrader is an automated trading system (ATS) that can trade any type of security on any market available through InteractiveBrokers or FIX. All aspects of trading like getting market data, analyzing prices, taking trade decisions, placing orders & tracking executions can be automated. Employing automated trading strategies, AlgoTrader eliminates all influences from emotion driven human trading and allows a pure systematic trading approach. Available features of the system¶ • Automate Trading Strategies based on Trading Rules (using Esper EQL) • Automated Execution via different Broker Interfaces • Simulate and run several strategies in parallel • Backtest strategies based on Historical Data • Portfolio Tracking & Performance Measurement • Different Numerical and Statistical Libraries are available to analyze trend and produce Trading Signals AlgoTrader is based on the following Frameworks and Methodologies¶ • Java SE 6 )

使用R语言进行股票数据时间序列分析，为《R and Data Mining》一书中Time Series一章的代码编写与分析(Using the R language to analyze stock time series data,R and Data Mining-Chapter Time Series code writing and analysis)