ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

from requests import Request, Session
import json
import pprint
import time

url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest'
parameters = {
  'slug':'bitcoin',

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import pandas as pd
import matplotlib.pyplot as plt
import yfinance as yf
import ta

df = yf.Ticker("BTC-USD").history(period='max').reset_index()[["Date","Close"]]
plt.style.use("dark_background")

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import ticker

df = pd.read_csv("bitcoin-historical-price.csv")[["Date","Value"]]
df["Date"] = pd.to_datetime(df.Date)
plt.style.use("fivethirtyeight")

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import pandas as pd
import requests

r = requests.get("https://www.coingecko.com/en?page=2")

df = pd.read_html(r.text)[0]

df = df[["Coin","Price","Mkt Cap"]]

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import yfinance as yf
import pandas as pd
import mplfinance as mpf

df = yf.Ticker("BTC-USD").history(period="max")

df["50ma"] = (df["Open"].rolling(window=50).mean() ) / 1.5
df["ma"] = (df["Open"].rolling(window=50).mean() ) * 1.5

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import requests
import pandas as pd
import time
from datetime import datetime,timedelta

apiUrl = "https://api.pro.coinbase.com"

sym = "ETH-USD"

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import pandas as pd
import pandas_ta as ta
import matplotlib.pyplot as plt
import plotly.graph_objects as go

df = pd.read_csv("btc.csv")[["unix","open","high","low","close"]]
df.sort_values(by="unix", inplace = True)
df["date"] = pd.to_datetime(df["unix"], unit = 's')

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import backtrader as bt
from datetime import datetime


class SwingTrade(bt.SignalStrategy):
    params = (("closeThreshold",3),)

    def __init__(self):

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

from datetime import datetime
import backtrader as bt


class OverUnderIndicator(bt.Indicator):
    lines = ('overunder',)

    def __init__(self):

ChadThackray

# Licensed under the MIT License. See comment below for full licence information.

import mplfinance as mpl
import pandas as pd
import yfinance as yf

## Data Gather
btc = yf.Ticker("BTC-USD").history(period = "1mo", interval = "60m")

print(btc)