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在MetaTrader市场下载MetaTrader 4的'Algo Profit Booster DEMO' 交易程序库

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顺水的鱼外汇EA
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    Algo Profit Booster DEMO

    This product is a free DEMO for Algo Profit Booster Tool for metaTrader 4 platform. This product does everything as the full-featured version except for realtime trading.

    The purpose of the Algo Profit Booster tool is to try to boost the profit-performance of any Expert Advisor that has at least one optimizable input variable. It applies equally well to Expert Advisors are highly profitable on out-of-sample data, as well as ones that perform poorly. Both developers and users of Expert Advisors alike might benefit from this tool.

    Typical algorithmic trading involves a set of input parameter values, often pre-optimized, that remain static during trading in real-time even when underlying market characteristics may be changing. This tool introduces a paradigm shift. It works by dynamically adapting and changing the parameter values, while trading in real time, using a intelligence knowledge base “learned” earlier. No more trading with fixed input parameter values.

    This is a multi-part software package of which only the MQL library element is included in this product. The rest of the package is free and must be downloaded from http://www.ExpertProfitBooster.com. A complete User Guide is included in the download package.

    User doesn't need to write any MQL code to use the APIs provided by this library. All the necessary code is generated by an MQL code generator utility included in the download package.

    This is a versatile tool that can be applied to any trading algo (a.k.a Expert Advisor or Robot) with a strong potential for boosting trading performance in one or more of the following aspects:

    • Higher net profit

    • Lower drawdown

    • Reduced drawdown period

    • Higher per trade profit

    • Reduced number of trades (in some cases), reducing commission and slippage

    To achieve its objective, the expert advisor code is augmented with additional code to analyze and capture essential intelligence during analysis and learning phases.

    This tool is available in 2 different feature set,

    1. A Single-Instance (SI) version,

    2. A Multi-Instance (MI) version and

    3. A Single-Instance DEMO version

    Both feature set options are identical in functionality, only differs on how many instances (charts) can be active at a time when trading with it. The Single-Instance version can be active with one Expert Advisor on one chart at a time, whereas the Multi-Instance version has no restrictions.

    This particular product is for the Single-Instance DEMO version. Care must be taken to download the correct companion package that matches this library product.

    Download file: MT4-DEMO.zip

    Password: booster

    Note: If APB_EA_Booster_DEMO.ex4 file is found in MQL4/Experts/Market folder, it must be manually moved to the MQL4/Libraries folder.

    The following result is from an actual test after applying the booster tool on “Simple Moving Average crossover” Expert Advisor on EURUSD, Daily.

    As expected, the base Expert (in black color) fails badly on out-of-sample data but the booster produces profitable results. Following is the test setup,

    base Expert: Simple Moving Average crossover (Fast moving average and Slow moving average)

    Symbol: EURUSD, Daily bar, Spread=10 pips, Fixed Lot Size=1

    Money management: None

    Learning Algo_prefix: -1, Trading option: 4

    In-sample dates: start-date=2000.01.01, end-date=2015.08.31

    Out-of-sample dates: start-date=2015.09.01, end-date=2018.06.30

    Input parameter optimization setup: start=3, stop=21, step=1, for both fast and slow average lengths

    Note that even though the booster does well in the in-sample period also, this is of no significance. What matters is the out-of-sample performance. Refer to the User Guide for more details.

    Even though the example above is from an actual test, it is presented here for illustration purpose only. It is not a recommendation for any specific Expert Advisor.

    ta itemprop="image" content="https://c.mql5.com/31/263/algo-profit-booster-demo-screen-4677.jpg" />

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