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Pytrader mt4 Python

Documentation for connecting Metatrader 4 with Python with a simple drag and drop EA. 
A full end-to-end solution ,fully tested ,fast and efficient!

The Pytrader ecosystem consists of a python script and a MT4 EA. ( MT5 version)
Further for the licensing an indicator is used. 
The communication between the python script and the EA is based on sockets.
EA is the  Server and the python script the  Client
It is always query(function / python script) and output(data / server).
The EA does not need to run on same computer as the python script is running on. 
On our Github link you will find the python script, the EA’s, full documentation, and a Pytrader example script showing how to call the functions.
For questions we have also a discord channel
In demo (without licensing indicator) also full functionality, but for a limited number of instruments 
(EURUSD, AUDCHF, NZDCHF, GBPNZD and USDCAD).

Download the EA =>  HERE


Demo supports:  EURUSD, AUDCHF, NZDCHF, GBPNZD and USDCAD

Python MT4 EA socket connector

Easier more than ever before! Connecting Metatrader4 with Python strategies with this simple drag and drop EA has never been so easy! 
A full & fast solution tested with real trading. 
Amazing capabilities like download bar data & creating a live feed for your strategies with 1 line of code. Enjoy.

Drag & Drop Python Connector for MT4

Growing list of features:

  • Python login to Metatrader4 Terminal
  • Python Connection keep alive function
  • Get MT4 Account Info→ Python client
  • Python Client Open New Orders → MT4 (Verify the sending, and verifying the receiving the order ,in MetaTrader4)
  • Python Client can Change(take profit,stop loss) /Cancel/Open Orders → MT4
  • Python Close/Partly Close Positions → MT4
  • MT4 Execution info→ Python client
  • MT4 → Python Get all Open orders & Positions
  • MT4 → Python Get static account information
  • MT4 → Python Get dynamic account info like [balance, equity, margin, free margins]
  • MT4 → Python Get instrument information [pip value, max lot, tick size, tick value]
  • MT4 → Python Get last tick data [date, bid, ask, vol ]
  • MT4 → Python Get bar data [date, open, low, high, close, vol]
  • MT4 → Python Get last X ticks array[date, bid, ask, last,vol]
  • MT4 → Python Get last X bars array[date, open, low, high, close, vol]
  • MT4 → Python Get indicator data from MT4 to your script - coming soon!


    Python Strategy example 

MT4 Python Installation Flow 



Reviews 2
pbillengren
19
pbillengren 2021.03.26 22:38 
 

Fast and easy to use, no hickups. Support is outstanding. Thanks guys!

Jacopo Losi
48
Jacopo Losi 2021.03.01 11:11 
 

I've bought this indicator to perform statistical analysis on my accounts and I'm really satisfied. The process of setting up is pretty straight forward, the integration in python projects is really smooth. The user manual gives you plenty of examples to build your program and if it is not enough, support is outstandingly professional. 5 stars are well deserved, kudos to the creators!

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VR System is not just an indicator, it is a full-fledged well-balanced trading system that includes combined simple Moving Average and Donchian channel indicators. The system is based on classic trading rules. The VR System trading system takes into account the rules for entering the market, rules for holding a position in the market, and rules for exiting a position. Simple trading rules, minimal risks, and clear instructions make VR System an attractive trading strategy for traders in financ
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Quantum Volume Point of Control Indicator
Quantum Volume Point of Control Indicator
QUANTUM TRADING SOFTWARE LIMITED
The Quantum VPOC indicator has been developed to expand the two dimensional study of volume and price, to a three dimensional one which embraces time. The volume/price/time relationship then provides real insight to the inner workings of the market and the heartbeat of sentiment and risk which drives the price action accordingly. The Quantum VPOC indicator displays several key pieces of information on the chart as follows: Volume Profile - this appears as a histogram of volume on the vertical pr
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TwoLines MACD
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Xianba Xia
Descriptions The MACD series proper was invented by Gerald Appel in the 1970s. Thomas Aspray added the divergence bar graph to the MACD in 1986, as a means to anticipate MACD crossovers, an indicator of important moves in the underlying security. The following R language code computes the three series of the MACD indicator from a given price series "stockPrices": MACD = [stockPrices,12]EMA - [stockPrices,26]EMA signal = [MACD,9]EMA divergence = MACD – signal Input Parameters FastEMA: Fast moving
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Support and Resistance Custom
Support and Resistance Custom
Wen Cheng Wen
Support and Resistance is a very important reference for trading.  This indicator provides customized support and resistance levels, automatic draw line and play music functions.  In addition to the custom RS, the default RS includes Pivot Point, Fibonacci, integer Price, MA, Bollinger Bands. Pivot Point is a resistance and support system. It has been widely used at froex,stocks, futures, treasury bonds and indexes. It is an effective support resistance analysis system. Fibonacci also known as t
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Probability Tool Suite Elite
Probability Tool Suite Elite
Premier Global Holdings
The elite (V3) multi-indicator suite from JoaquinTrading specifically geared towards Forex & binary options, including regulated exchanges such Nadex, Cantor Exchange, and other binary option brokers. The Probability Tool Suite Elite will provide the given win/loss outcome probabilities of up to 10 strike levels, a specific expiration duration, based on a combination of up to 16 indicators, rules, or conditions and derivative behavior (i.e. expiry, touch, touch & retrace).  Using this indicat
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PipsMinerFast
PipsMinerFast
Remi Passanello
PipsMinerFast is mainly a trend follower with a bit of price action. At first sight, you will think: "Oh well, one more indi showing everything I've missed today but not giving a clue about what will happen..." Okay, you can believe this when just looking at it but start a test it and you will see that PipsMinerFast: Shows you the trend immediately Is not repainting Has minimum lagging Counts pips immediately Adapts to your spread level Works from M1 to H1 Is heading in the right direction 90% o
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Swing Reader
Swing Reader
Francesco Rubeo
Read Elliott wave principle automatically. With the Swing Reader, you can easily read the Elliott Wave Principle through an automatic system. With swing, we mean a ZigZag market that is created by a breakout of its standard deviation. You can set the deviation manually, or you can let the indicator do it automatically (setting the deviation to zero). Advantages you get Never repaints. Points showing a horizontal line, in which statistically a long wave ends. Candles showing a vertical line in
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PyTrader MT5
PyTrader MT5
Offpista LTD
Documentation for connecting Metatrader 5 with Python with a simple drag and drop EA.   A full end-to-end solution ,fully tested ,fast and efficient! The   Pytrader   ecosystem consists of a python script and a MT5 or MT4 version EA.   Further for the licensing an indicator is used.   The communication between the python script and the EA is based on sockets. EA is the   Server   and the python script the   Client .   It is always query(function / python script) and output(data / serv
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ProFactor MT5
ProFactor MT5
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ProFactor is an indicator generating signals based price on the famous profit factor formula. The calculation  is simply defined as gross  GREEN BARS  divided by gross RED BARS. That's it in a nutshell, but sometimes the simplest things hold the most value. So let's imagine your trading system's gross  profit  for the past year was $40,000 and your gross losses were $20,000. Your  Profit Factor  would be 2. The ProFactor calculation works on the price of the asset instead of the strategy out
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pbillengren
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pbillengren 2021.03.26 22:38 
 

Fast and easy to use, no hickups. Support is outstanding. Thanks guys!

Jacopo Losi
48
Jacopo Losi 2021.03.01 11:11 
 

I've bought this indicator to perform statistical analysis on my accounts and I'm really satisfied. The process of setting up is pretty straight forward, the integration in python projects is really smooth. The user manual gives you plenty of examples to build your program and if it is not enough, support is outstandingly professional. 5 stars are well deserved, kudos to the creators!

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Version 2.6 2021.04.05
improved and faster connectivity.