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PyTrader MT5

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 / 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 MT5 EA socket connector

Easier more than ever before! Connecting Metatrader5 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 MT5

Growing list of features:

  • Python login to Metatrader5 Terminal
  • Python Connection keep alive function
  • Get MT5 Account Info→ Python client
  • Python Client Open New Orders → MT5 (Verify the sending, and verifying the receiving the order ,in MetaTrader5)
  • Python Client can Change(take profit,stop loss) /Cancel/Open Orders → MT5
  • Python Close/Partly Close Positions → MT5
  • MT5 Execution info→ Python client
  • MT5 → Python Get all Open orders & Positions
  • MT5 → Python Get static account information
  • MT5 → Python Get dynamic account info like [balance, equity, margin, free margins]
  • MT5 → Python Get instrument information [pip value, max lot, tick size, tick value]
  • MT5 → Python Get last tick data [date, bid, ask, vol ]
  • MT5 → Python Get bar data [date, open, low, high, close, vol]
  • MT5 → Python Get last X ticks array[date, bid, ask, last,vol]
  • MT5 → Python Get last X bars array[date, open, low, high, close, vol]
  • MT5 → Python Get indicator data from MT5 to your script - coming soon!




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Swing Trading is the first indicator designed to detect swings in the direction of the trend and possible reversal swings. It uses the baseline swing trading approach, widely described in trading literature. The indicator studies several price and time vectors to track the aggregate trend direction and detects situations in which the market is oversold or overbought and ready to correct. [ Installation Guide | Update Guide | Troubleshooting | FAQ | All Products ] Profit for market swings with
RAD CRITICAL LEVES RAD indicator tracks “Relevant Volume” in real time, identifying accumulation and distribution processes, projecting them in the chart as SUPPORT or RESISTANCE zones. Natural   support   and resistance levels are generated by Volume Accumulation and Distribution processes. As these processes evolve, levels at which the relevant volume in the market place is positioned, become difficult areas to cross upwards or downwards. By using this information, traders can identify very s
MetaBands M5
Vahidreza Heidar Gholami
4.67 (3)
MetaBands uses powerful and unique algorithms to draw channels and detect trends so that it can provide traders with potential points for entering and exiting trades. It’s a channel indicator plus a powerful trend indicator. It includes different types of channels which can be merged to create new channels simply by using the input parameters. MetaBands uses all types of alerts to notify users about market events. Features Supports most of the channel algorithms Powerful trend detection algorith
Boom and Crash Spike Detector v1.0 Boom and Crash spike detector prints Down non repaint Arrow for catching crash spikes and Up non repaint arrow for catching boom spikes.  It is suitable for 1M time frame for majorly crash500 and Boom 500.  When the Red arrow prints in a red zone moving averages, it indicates high probability of crash spikes downwards, likewise, blue arrow printing in a blue zone of moving average, it indicates high probability of boom spikes.  Its pretty straight forward since
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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
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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Version 2.5 2021.04.06
Improved security and faster Connection.