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# Create a Stratey
class TestStrategy(bt.Strategy):
    params = (
        ('maperiod', 20),
    )

    def log(self, txt, optimization=False, dt=None):
        if optimization:
            return
        

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def telegram_EMA(sma, back=50, show=False):
    
    file = 'EMAs.jpg'

    ax = sma[-back:].plot(y="BTCUSDT_C", kind="line", color="k", \
                          linewidth=3, use_index=True, x_compat=True, \
                          rot=25, linestyle='-', figsize=(6, 5))
    sma[-back:].plot(y="EMA20", kind="line", ax=ax, color="y", \
                     x_compat=True, rot=25, linestyle=':', figsize=(6, 5))
    sma[-back:].plot(y="EMA50", kind="line", ax=ax, color="r", \

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# setup EMA indicator values
def setup_ema():
    
    ticksAgo = datetime.datetime.now() - timedelta(hours= 24)
    candlesticks = client.get_historical_klines(EXCHANGE, Client.KLINE_INTERVAL_3MINUTE, str(ticksAgo))

    for candle in candlesticks:
        del candle[-6:]
    
    ema = pd.DataFrame(candlesticks, columns=['date', EXCHANGE+'_O', EXCHANGE+'_H', \

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file = "stats.jpg"

# create your own numerical lists here...
days = [30, 21, 14, 5, 2]
data = [10, 19, 6, 34, 12]

labels = days
plt.xticks(range(len(data)), labels)
plt.xlabel('Days')
plt.ylabel('% Position Gain')

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client = Client(config.BINANCE_API_KEY, config.BINANCE_API_SECRET, tld='us')

def getPositionInfo(startDate=None, exchange='BTCUSDT'):
    if not startDate:
        return

    candlesticks = client.get_historical_klines(exchange, Client.KLINE_INTERVAL_1HOUR, str(startDate))
    # trim each candle
    for candle in candlesticks:
        del candle[-6:]

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dateFrom = '2022-08-05 12:00:00'
positionData = getPositionInfo(startDate=timezoneGMT(parser.parse(dateFrom)), exchange='BTCUSDT')

file = coin +'.jpg'
ax = plt.gca()
dateFrom = str(timezoneGMT(parser.parse(dateFrom)))
positionData.plot(kind='line',x='date',y=coin[:3],ax=ax, marker='.', \
                  title= coin[:3] +" since "+dateFrom)

plt.savefig(file, bbox_inches='tight')

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import 'package:cloud_firestore/cloud_firestore.dart';
import 'package:flutter/material.dart';

void main() => runApp(MyApp());

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      debugShowCheckedModeBanner: false,

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def main():
    start_time = time()
    csvfile = open('arbitrage', 'w', newline='', encoding='UTF8')
    result_writer = csv.writer(csvfile, delimiter=',')

    n = 0
    while n < ITERATIONS:
        n += 1
        prices = get_prices()

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from collections import defaultdict
from operator import itemgetter
from time import time
import config, csv

from binance.client import Client

FEE = 0.00075       # Binance VIP0 level spot-trade transaction fee for "Taker" (limit order)
ITERATIONS = 5000   # iterations to run
PRIMARY = ['ETH', 'USDT', 'BTC', 'BNB', 'ADA', 'SOL', 'LINK', 'LTC', 'UNI', 'XTZ']

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FEE = 0.00075       # Binance VIP0 level spot-trade transaction fee for "Taker" (limit order)
ITERATIONS = 5000   # iterations to run
PRIMARY = ['ETH', 'USDT', 'BTC', 'BNB', 'ADA', 'SOL', 'LINK', 'LTC', 'UNI', 'XTZ']