YHT_1.5_paisa_23_10_2020_version.ipynb

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      "/home/pi/.local/lib/python3.7/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.2) or chardet (4.0.0) doesn't match a supported version!\n",
      "  RequestsDependencyWarning)\n"
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     "name": "stdout",
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     "text": [
      "access token : veTJKU3IhWSQNlkJi6znnKxck8xXWgF3\n",
      "request token : 0zmxARixWWc2t5ahIY36ce4EjHq6vOxo\n"
     ]
    }
   ],
   "source": [
    "##################################### AUTO LOGIN #########################\n",
    "import login\n",
    "from login import *\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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     "end_time": "2020-12-22T10:31:19.253455Z",
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     "text": [
      "Today Date : 2020-12-22\n",
      "Yestreday Date : 2020-12-21 00:00:00+05:30\n",
      "Last Close : 74.1025\n",
      "Last High : 74.2175\n",
      "Last Low : 73.635\n",
      "High Low Range : 0.5825\n",
      "My Margin : 324510.8525\n",
      "Pivot Price : 74.1025\n",
      "Full Quantity : 162\n",
      "Number of Steps : 8\n",
      "Price Difference Between One Trade : 0.0725\n",
      "Quantity Difference Between One Trade : 20\n",
      "Last Buy Pivot Price : 73.5225\n",
      "Last Sell Pivot Price : 74.6825\n",
      "Stoploss On ? : False\n",
      "Moving Pivot On ? : False\n",
      "\n",
      "pivot_price : 74.1025\n",
      "\n",
      "p1b : 74.03\n",
      "p2b : 73.9575\n",
      "p3b : 73.885\n",
      "p4b : 73.8125\n",
      "p5b : 73.74\n",
      "p6b : 73.6675\n",
      "p7b : 73.595\n",
      "p8b : 73.5225\n",
      "\n",
      "p1s : 74.175\n",
      "p2s : 74.2475\n",
      "p3s : 74.32\n",
      "p4s : 74.3925\n",
      "p5s : 74.465\n",
      "p6s : 74.5375\n",
      "p7s : 74.61\n",
      "p8s : 74.6825\n",
      "\n",
      "p1q : 20\n",
      "p2q : 40\n",
      "p3q : 60\n",
      "p4q : 80\n",
      "p5q : 100\n",
      "p6q : 120\n",
      "p7q : 140\n",
      "p8q : 160\n",
      "\n",
      "S Limit : 74.82\n",
      "B Limit : 73.385\n"
     ]
    }
   ],
   "source": [
    "############## Parameters ###################\n",
    "\n",
    "one_dollar_margin = 2000     # (USD-MIS=984/NRML=1967)(GBP-MIS=1948/NRML=3895)(EUR-MIS=1313/NRML=2625)(JPY-MIS=1333/NRML=2667)\n",
    "per_order_quant = 20\n",
    "initial_difference = 0.0000\n",
    "\n",
    "order_type = 'NRML'           # MIS / NRML\n",
    "symbol_ip = 'USDINR20DECFUT' # USDINR20OCTFUT / GBPINR20OCTFUT / EURINR20OCTFUT / JPYINR20OCTFUT\n",
    "inst_token = 380675          # 690691(USD) / 490755(GBP) / 278019(EUR) / 690435(JPY)\n",
    "\n",
    "moving_pivot_on = False      # True / False\n",
    "\n",
    "stoploss_on = False          # True / False\n",
    "\n",
    "hl_range = 1.00             # (Default=0.00)(USD=0.23)(GBP=?)(EUR=?)(JPY=?)\n",
    "days_ago_data = 2            # Today Date - day_ago_data\n",
    "##################################################\n",
    "\n",
    "import datetime\n",
    "interval='day'\n",
    "todaydt=datetime.date.today()\n",
    "hud_ago=todaydt-datetime.timedelta(days=10)\n",
    "to_date=datetime.date.isoformat(todaydt)\n",
    "\n",
    "from_date=datetime.date.isoformat(hud_ago)\n",
    "data = kite.historical_data(inst_token, from_date, to_date, interval, continuous=False)\n",
    "\n",
    "import pandas as pd\n",
    "mydata = pd.DataFrame(data)\n",
    "from datetime import date\n",
    "today = date.today()\n",
    "\n",
    "print('Today Date : '+str(today))\n",
    "yest_date =  mydata[-days_ago_data:][['date']].to_numpy()[0][0]\n",
    "last_close =  mydata[-days_ago_data:][['close']].to_numpy()[0][0]\n",
    "last_high =  mydata[-days_ago_data:][['high']].to_numpy()[0][0]\n",
    "last_low =  mydata[-days_ago_data:][['low']].to_numpy()[0][0]\n",
    "hl_range = last_high - last_low\n",
    "\n",
    "print('Yestreday Date : '+str(yest_date))\n",
    "print('Last Close : '+ str(last_close))\n",
    "print('Last High : '+ str(last_high))\n",
    "print('Last Low : '+ str(last_low))\n",
    "print('High Low Range : '+ str(round(hl_range,4)))\n",
    "\n",
    "mymargin = round(kite.margins(segment = 'equity')['available']['live_balance'],4)\n",
    "# mymargin = 192000.25\n",
    "\n",
    "pivot_price = last_close\n",
    "\n",
    "fullquantity = int(mymargin / one_dollar_margin)\n",
    "\n",
    "num_of_steps = int(fullquantity / per_order_quant)\n",
    "\n",
    "difference = round(hl_range / num_of_steps,4)\n",
    "\n",
    "difference = round(0.0025 * round(difference /0.0025),4)\n",
    "\n",
    "last_buy_price = round(pivot_price -  difference*num_of_steps,4)\n",
    "last_sell_price = round(pivot_price +  difference*num_of_steps,4)\n",
    "\n",
    "print('My Margin : '+str(mymargin))\n",
    "print('Pivot Price : ' + str(pivot_price))\n",
    "print('Full Quantity : '+str(fullquantity))\n",
    "print('Number of Steps : '+str(num_of_steps))\n",
    "print('Price Difference Between One Trade : ' + str(difference))\n",
    "print('Quantity Difference Between One Trade : ' + str(per_order_quant))\n",
    "print('Last Buy Pivot Price : '+str(last_buy_price))\n",
    "print('Last Sell Pivot Price : '+str(last_sell_price))\n",
    "print('Stoploss On ? : '+str(stoploss_on))\n",
    "print('Moving Pivot On ? : '+str(moving_pivot_on))\n",
    "base=0.0025\n",
    "max_no_of_order = int(fullquantity / per_order_quant)\n",
    "total_parts = 2*max_no_of_order\n",
    "\n",
    "print()\n",
    "print('pivot_price : '+str(pivot_price))\n",
    "print()\n",
    "upper_limit = 0.12\n",
    "lower_limit = 0.12\n",
    "def calc_pivots():\n",
    "    global upper_limit, lower_limit\n",
    "    for i in range(1,max_no_of_order+1):\n",
    "        globals()['p'+str(i)+'b'] = pivot_price - (initial_difference + i* difference)\n",
    "        globals()['p'+str(i)+'b'] = round(base * round(globals()['p'+str(i)+'b'] /base),4)\n",
    "        print('p'+str(i)+'b : '+str(globals()['p'+str(i)+'b']))\n",
    "\n",
    "    print()\n",
    "    for i in range(1,max_no_of_order+1):\n",
    "        globals()['p'+str(i)+'s'] = pivot_price + (initial_difference + i* difference)\n",
    "        globals()['p'+str(i)+'s'] = round(base * round(globals()['p'+str(i)+'s'] /base),4)\n",
    "        print('p'+str(i)+'s : '+str(globals()['p'+str(i)+'s']))\n",
    "\n",
    "    print()\n",
    "    for i in range(1,max_no_of_order+1):\n",
    "        globals()['p'+str(i)+'q'] = per_order_quant*i\n",
    "        print('p'+str(i)+'q : '+str(globals()['p'+str(i)+'q']))\n",
    "        \n",
    "    print()\n",
    "    upper_limit = round(((globals()['p'+str(max_no_of_order)+'s']) + hl_range*0.236),4)\n",
    "    lower_limit = round(((globals()['p'+str(max_no_of_order)+'b']) - hl_range*0.236),4)\n",
    "    print('S Limit : '+str(upper_limit))\n",
    "    print('B Limit : '+str(lower_limit))\n",
    "\n",
    "calc_pivots()"
   ]
  },
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     "end_time": "2020-12-07T07:43:25.644512Z",
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   "source": [
    "myquantity = 0\n",
    "def getquant():\n",
    "    global myquantity\n",
    "    global order_type\n",
    "    global symbol_ip\n",
    "    allpos = kite.positions()['net']\n",
    "    for i in range(len(allpos)):\n",
    "        if(allpos[i]['tradingsymbol']==symbol_ip and  allpos[i]['product']== order_type):\n",
    "            myquantity = allpos[i]['quantity']\n",
    "            print('My Quantity : ' + str(allpos[i]['quantity']))\n",
    "\n",
    "getquant()\n",
    "\n",
    "stopbuy = False\n",
    "stopsell = False\n",
    "\n",
    "def placeneworder(quantdiff):\n",
    "    global stopbuy, stop_trading\n",
    "    global stopsell\n",
    "    global order_type\n",
    "    global symbol_ip\n",
    "    if(quantdiff>0 and stopbuy == False):\n",
    "        try:\n",
    "            stop_trading = True\n",
    "            order_id= kite.place_order(tradingsymbol=symbol_ip,\n",
    "                        exchange=kite.EXCHANGE_CDS,\n",
    "                        transaction_type=kite.TRANSACTION_TYPE_BUY,\n",
    "                        quantity=abs(quantdiff),\n",
    "                        order_type=kite.ORDER_TYPE_MARKET,\n",
    "                        variety = kite.VARIETY_REGULAR,\n",
    "                        product=kite.PRODUCT_MIS if order_type=='MIS' else kite.PRODUCT_NRML)\n",
    "            getquant()\n",
    "            stopsell = False\n",
    "            stop_trading = False\n",
    "        except Exception as e:\n",
    "            stopbuy = False\n",
    "            print(e)\n",
    "            getquant()\n",
    "    if(quantdiff<0 and stopsell == False):\n",
    "        try:\n",
    "            stop_trading = True\n",
    "            order_id= kite.place_order(tradingsymbol=symbol_ip,\n",
    "                        exchange=kite.EXCHANGE_CDS,\n",
    "                        transaction_type=kite.TRANSACTION_TYPE_SELL,\n",
    "                        quantity=abs(quantdiff),\n",
    "                        order_type=kite.ORDER_TYPE_MARKET,\n",
    "                        variety = kite.VARIETY_REGULAR,\n",
    "                        product=kite.PRODUCT_MIS if order_type=='MIS' else kite.PRODUCT_NRML)\n",
    "            getquant()\n",
    "            stopbuy = False\n",
    "            stop_trading = False\n",
    "        except Exception as e:\n",
    "            stopsell = True\n",
    "            print(e)\n",
    "            getquant()\n",
    "\n",
    "\n",
    "def ckqnt (orderprice,orderquant):\n",
    "    global myquantity\n",
    "    quantdiff = orderquant - myquantity\n",
    "    placeneworder(quantdiff)\n",
    "    return myquantity\n",
    "\n",
    "\n",
    "last_price = pivot_price\n",
    "\n",
    "def checkpivot(ltps):\n",
    "    global last_price, upper_limit, lower_limit\n",
    "    trade_quant = 0\n",
    "    \n",
    "    if((ltps > upper_limit or ltps < lower_limit) and stoploss_on ):\n",
    "        ckqnt(pivot_price,0)\n",
    "    \n",
    "    elif ((ltps>=(pivot_price-0.0025)) and (ltps<=(pivot_price+0.0025))):\n",
    "        ckqnt(pivot_price,0)\n",
    "        print('in pivot range')\n",
    "        \n",
    "    elif(upper_limit>ltps>(globals()['p'+str(max_no_of_order)+'s'])):\n",
    "        ckqnt(globals()['p'+str(max_no_of_order)+'s'],-globals()['p'+str(max_no_of_order)+'q'])\n",
    "        \n",
    "    elif(lower_limit<ltps<(globals()['p'+str(max_no_of_order)+'b'])):\n",
    "        ckqnt(globals()['p'+str(max_no_of_order)+'b'],globals()['p'+str(max_no_of_order)+'q'])\n",
    "        \n",
    "    else:\n",
    "        for i in range(1,int(total_parts/2)+1):\n",
    "\n",
    "            if(ltps<pivot_price):\n",
    "                trade_quant = globals()['p'+str(i)+'q']\n",
    "            elif(ltps>pivot_price):\n",
    "                trade_quant = -globals()['p'+str(i)+'q']\n",
    "\n",
    "            if ((ltps == globals()['p'+str(i)+'b'] or ltps == globals()['p'+str(i)+'s']) and ltps < last_price):\n",
    "                ckqnt(globals()['p'+str(i)+'b'],trade_quant)\n",
    "                print('==========' +'p'+str(i)+'b @ ' +str(ltps) + '==============' )\n",
    "                last_price=ltps\n",
    "\n",
    "            if ((ltps == globals()['p'+str(i)+'b'] or ltps == globals()['p'+str(i)+'s']) and ltps > last_price):\n",
    "                ckqnt(globals()['p'+str(i)+'s'],trade_quant)\n",
    "                print('==========' +'p'+str(i)+'s @ ' +str(ltps) + '==============' )\n",
    "                last_price=ltps"
   ]
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     "end_time": "2020-12-07T07:54:43.551659Z",
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   "source": [
    "############################### START TRADING ################\n",
    "import threading\n",
    "import logging\n",
    "from kiteconnect import KiteTicker\n",
    "logging.basicConfig(level=logging.DEBUG)\n",
    "# kws = KiteTicker(\"w19o0chuo929jxkp\", \"eA5B5OJQNOtZ0OYihkBmYw7Ke3B9pmCC\")\n",
    "stop_trading = False\n",
    "this_second = datetime.datetime.now().second\n",
    "last_second = 0\n",
    "\n",
    "def on_ticks(ws, ticks):\n",
    "    global pivot_price, moving_pivot_on, this_second, last_second,stop_trading\n",
    "    this_second = datetime.datetime.now().second\n",
    "    if(last_second!=this_second):\n",
    "        last_second = this_second\n",
    "        x = threading.Thread(target=checkpivot, args=([ticks[0]['last_price']]))\n",
    "        if(stop_trading==False):\n",
    "            x.start()\n",
    "            \n",
    "#     if(moving_pivot_on):\n",
    "#         pivot_price =round(base * round(ticks[0]['average_price']/base),4) # Moving Trade Average Line : 1\n",
    "#         calc_pivots();                                                     # Moving Trade Average Line : 2\n",
    "        \n",
    "    #print(hjhj)\n",
    "    #print('===========================')\n",
    "    #print()\n",
    "    #print(type(ticks[0]['last_price']))\n",
    "    print('==========================')\n",
    "    print( 'LTP : ' + str(ticks[0]['last_price']))\n",
    "    #print('==========================')\n",
    "    #print()\n",
    "\n",
    "def on_connect(ws, response):\n",
    "    global inst_token\n",
    "    ws.subscribe([inst_token])\n",
    "    ws.set_mode(ws.MODE_FULL, [inst_token])\n",
    "\n",
    "def on_close(ws, code, reason):\n",
    "    ws.stop()\n",
    "    \n",
    "def on_error(ws, code, reason):\n",
    "    logging.error(\"closed connection on error: {} {}\".format(code, reason))\n",
    "\n",
    "def on_noreconnect(ws):\n",
    "    logging.error(\"Reconnecting the websocket failed\")\n",
    "\n",
    "def on_reconnect(ws, attempt_count):\n",
    "    logging.debug(\"Reconnecting the websocket: {}\".format(attempt_count))\n",
    "\n",
    "#def on_order_update(ws, data):\n",
    "#    print(\"order update: \", data)\n",
    "\n",
    "kws.on_error = on_error\n",
    "kws.on_noreconnect = on_noreconnect\n",
    "kws.on_reconnect = on_reconnect\n",
    "#kws.on_order_update = on_order_update\n",
    "\n",
    "kws.on_ticks = on_ticks\n",
    "kws.on_connect = on_connect\n",
    "kws.on_close = on_close\n",
    "\n",
    "kws.connect()"
   ]
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