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Commit987aa3e

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added trading with FXCM tutorial
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‎README.md

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@@ -53,7 +53,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
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-[How to Convert Text to Speech in Python](https://www.thepythoncode.com/article/convert-text-to-speech-in-python). ([code](machine-learning/text-to-speech))
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-[How to Perform Voice Gender Recognition using TensorFlow in Python](https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python). ([code](https://github.com/x4nth055/gender-recognition-by-voice))
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-[Introduction to Finance and Technical Indicators with Python](https://www.thepythoncode.com/article/introduction-to-finance-and-technical-indicators-with-python). ([code](machine-learning/technical-indicators))
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-[Algorithmic Trading with FXCM Broker in Python](https://www.thepythoncode.com/article/trading-with-fxcm-broker-using-fxcmpy-library-in-python). ([code](machine-learning/trading-with-fxcm))
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-###[General Python Topics](https://www.thepythoncode.com/topic/general-python-topics)
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-[How to Make Facebook Messenger bot in Python](https://www.thepythoncode.com/article/make-bot-fbchat-python). ([code](general/messenger-bot))
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#[Algorithmic Trading with FXCM Broker in Python](https://www.thepythoncode.com/article/trading-with-fxcm-broker-using-fxcmpy-library-in-python)
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fxcmpy
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python-socketio
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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name":"ipython",
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"version":3
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},
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"file_extension":".py",
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"mimetype":"text/x-python",
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"name":"python",
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"nbconvert_exporter":"python",
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"pygments_lexer":"ipython3",
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"version":3
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},
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"orig_nbformat":2,
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"kernelspec": {
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"name":"python_defaultSpec_1596535581821",
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"display_name":"Python 3.6.6 64-bit"
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}
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},
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"nbformat":4,
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"nbformat_minor":2,
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"cells": [
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from fxcmpy import fxcmpy\n",
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"\n",
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"# generate this once you create your demo account\n",
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"# this is fake token, just for demonstration\n",
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"ACCESS_TOKEN =\"8438834e8edaff70ca3db0088a8d6c5c37f51279\""
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"try:\n",
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" fxcm_con = fxcmpy(access_token=ACCESS_TOKEN, server=\"demo\")\n",
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" print(\"Is connected:\", fxcm_con.is_connected())\n",
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"\n",
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"except Exception as e:\n",
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" print(e)"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"fxcm_con.open_trade(symbol=\"US30\",amount=1,is_buy=True,time_in_force=\"GTC\",order_type=\"AtMarket\")"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"trade_id = fxcm_con.get_open_trade_ids()[0]\n",
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"print(\"Closing trade:\", trade_id)\n",
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"fxcm_con.close_trade(trade_id=trade_id,amount=1)"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"fxcm_con.open_trade(symbol=\"US30\",amount=1,is_buy=True,time_in_force=\"GTC\",order_type=\"AtMarket\",is_in_pips=True,limit=15,stop=-50)"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fxcm_con.close()"
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]
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},
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{
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"cell_type":"code",
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"execution_count":null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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]
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}
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fromfxcmpyimportfxcmpy
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# generate this once you create your demo account
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# this is fake token, just for demonstration
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ACCESS_TOKEN="8438834e8edaff70ca3db0088a8d6c5c37f51279"
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try:
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fxcm_con=fxcmpy(access_token=ACCESS_TOKEN,server="demo")
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print("Is connected:",fxcm_con.is_connected())
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exceptExceptionase:
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print(e)
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fxcm_con.open_trade(symbol="US30",amount=1,is_buy=True,time_in_force="GTC",order_type="AtMarket")
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trade_id=fxcm_con.get_open_trade_ids()[0]
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print("Closing trade:",trade_id)
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fxcm_con.close_trade(trade_id=trade_id,amount=1)
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fxcm_con.open_trade(symbol="US30",amount=1,is_buy=True,time_in_force="GTC",order_type="AtMarket",is_in_pips=True,limit=15,stop=-50)
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fxcm_con.close()

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