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Python Proxy Live

[Introduction] . [Installation]

Introduction

This version can be used for live trading. If you want to try a free version for backtesting only, you can go to here.

Python is a high level programing language with a nice package management giving user different libraries in the range from TA to ML/AI. Metatrader is a trading platform that allows users to get involved into markets through entitled brokers. Combining python with MT4 would give user an unprecedented convienance over the connection of brokers and the freedom of library utilization. The potential of your EA now becomes unlimited as you can create different AI strategies on top of those famous ML python libraries freely.


You will need to have your customized proxy EA running on the MT4 side. TCP socket will be used for messaging between the python EA and proxy EA. There are 3 main components in the MT4 system:

  • Py3_Proxy_Interface.ex4 --- It holds the core communication implementation. You can get a free version from the MQL5 for backtesting your strategy.
  • WinSocketWrapper.mqh --- It contains the windows socket utilization.
  • Py_Proxy_Ea.mq4 --- The last component in MT4 side. By combining all 3 of them, you will have your own customized proxy EA running as a server on the MT4 side and waiting for the connection from the python EA. In addition, you can control the input parameters as what you did as a normal MT4 EA.

The idea of the proxy EA is not only providing python interfaces but also keeping the life cycle of EAs so that the callback sequences are remained in the python side which means that you can backtest your python EA on the MT4 platform.

As one may notice that the communication between the processes is TPC socket, speed is a bit slower to the share memory method. To keep the speed of the EA operation while does not sacrifice much of the data converage. The OnTick function on the python side will be triggered for each bar instead of each tick. In other words, whenever there is a bar update, the function OnTick will be triggered.

Limitation & Notice

There are limitations of this solution.

  • This is not a bug free library. Users are encouraged to test out their EAs through the free version provided on the marketplace amid the backtesting phases. There is no support guarantee but you can put down the bugs or suggestions you have in the comments.
  • Not all of the functions in MQL4 are supported. You can find the list of supported functions within the file --- function_list.txt
  • The callback frequence is not tick by tick, that is based on bar, for example 1M, 5M, etc...

If you like this library and would you like to use it for live trading, feel free to subscribe it through the marketplace. Please only do this after you tested and confirm it works for your use case.

There is no guarantee of profits by this tool. It is just a bridge tool between MT4 and python.


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Display all text information you need on your live charts. First, import the library: #import "osd.ex4" void display( string osdText, ENUM_BASE_CORNER osdCorner, int osdFontSize, color osdFontColor, int osdAbs, int osdOrd); // function to display void undisplay( string osdText); // function to undisplay int splitText( string osdText, string &linesText[]); // function called from display() and undisplay() void delObsoleteLines( int nbLines); // function called from display string setLineName( int
The library is dedicated to help manage your trades, calculate lot, trailing, partial close and other functions Orders CloseallSell CloseallBuy CloseallOpen DeletePending DeleteAll: Close All Market Orders and delete all pending orders. CheckOpenBuyOrders: return the count of buy orders. CheckOpenSellOrders: return the count of sell orders. CheckOpenOrders: return the count of market orders. ModifyOrder DeleteOrder CloseOrder OpenOrder Lot Calculation Mode 0: Fixed Lot. Mode 1: Martingale Lo
MetaCOT 2 CFTC ToolBox is a special library that provides access to CFTC (U.S. Commodity Futures Trading Commission) reports straight from the MetaTrader terminal. The library includes all indicators that are based on these reports. With this library you do not need to purchase each MetaCOT indicator separately. Instead, you can obtain a single set of all 34 indicators including additional indicators that are not available as separate versions. The library supports all types of reports, and prov
This is a simplified and effective version of the library for walk forward analysis of trading experts. It collects data about the expert's trade during the optimization process in the MetaTrader tester and stores them in intermediate files in the "tester/Files" directory. Then these files can be used by the special WalkForwardBuilder script to build a cluster walk forward report and rolling walk forward reports for refining it. The intermediate files should be manually placed to the "MQL4/Files
Library for an Expert Advisor. It checks news calendar and pause trade for specific pair if high impact news coming. News Filter for an Exert Advisor. Easily apply to your EA, just needs simple scripts to call it from your EA. Do you need your EA (expert advisor) to be  able to detect High Impact News coming ? Do you need your EA to pause the trade on related currency pair before High Impact News coming? This News Filter library is the solution for you. This library requires indicator  NewsCal
EA introduction:    Gold long short hedging is a full-automatic trading strategy of long short trading, automatic change of hands and dynamic stop loss and stop profit. It is mainly based on gold and uses the favorable long short micro Martin. At the same time, combined with the hedging mechanism, long short hedging will be carried out in the oscillatory market, and in the trend market, the wrong order of loss will be stopped directly to comply with the unilateral trend, so the strategy can be
Three Crossing
Sirinya Pakkaman
Three Crossing Robot trading with 2 indicators Description Open Order Buy order condition 1)     Two lines of the EMA cross for TimeFrame12   2)     For EMA control order is EMA1 must be on the EMA line   3)     RSI_Buy > according to the specified value Sell order condition 1)     Two lines of the EMA cross for TimeFrame12   2)     For EMA control order is EMA1 must be under the EMA line   3)     RSI_Sell < according to the specified value For the operation of t
实盘交易盈利,回测年化125%,回撤25%,交易量少,不是经常下单,挂起后要有耐心。没有多牛的技术,只是一套简单的交易策略,贵在长期坚持,长期执行。我们有时候就是把自己高复杂,想想我们交易的历程,你就会发现,小白好赚钱,当你懂得越多的时候也是亏损的开始,总是今天用这个技术,明天用那个指标,到头来发现,没有一个指标适合你。其实每个技术指标都是概率性的,没有100%的胜率。很多技术指标你要融合一套交易策略,资金仓位控制,止损止盈比例,一套策略下来下一步你做的就是执行力了,必须要坚决执行你的交易策略,如果不能坚持的话最终还是在亏损。说实话不是每个人都有好的心态和执行力,所以我们做出来这款ea自己来用,发现时间久了扭亏为盈了,那现在就拿出来给大家分享,让更多的人来达到自己的盈利目标。购买后留下邮箱或添加软件里的qq,我们会根据你的资金来调整软件参数。 经测试过的柱数 14794 用于复盘的即时价数量 51321985 复盘模型的质量 n/a 输入图表错误 213935 起始资金 10000.00 点差 当前 (54) 总净盈利 12583.42 总获利 37630.02 总亏损 -25046.
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[ Introduction ] . [ Installation ] Introduction Python is a high level programing language with a nice package management giving user different libraries in the range from TA to ML/AI. Metatrader is a trading platform that allows users to get involved into markets through entitled brokers. Combining python with MT4 would give user an unprecedented convienance over the connection of brokers and the freedom of library utilization. The potential of your EA now becomes unlimited as you can create
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Versión 1.42 2023.11.03
Update expire date
Versión 1.41 2023.09.14
Expiry date extension
Versión 1.30 2023.07.09
Expiration extension