ChadThackray

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

import requests
import json

bob = requests.get("https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=gbp", headers = {"accept":"application/json"})

print("The price of bitcoin is currently £" + str(bob.json()["bitcoin"]["gbp"]))

ChadThackray

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

import matplotlib.pyplot as plt
import pandas as pd

plt.style.use("dark_background")


df = pd.read_csv("Kraken_BTCUSD_d.csv")

ChadThackray

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

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

stock = yf.Ticker("KO")

print(stock.info['open'])

ChadThackray

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

from simple_term_menu import TerminalMenu

options = ["[a] Apples","[b] Bannas","[o] Oranges","[q] Quit"]

mainMenu = TerminalMenu(options, title = "main menu")
subMenu = TerminalMenu(["option1","option2"], title = "sub-menu")

quitting = False

ChadThackray

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

def gridtraveller(m,n, dict = {}):
    key = str(m) + "," + str(n)

    if(m == 1 and n == 1):
        return 1
    elif(m ==0 or n == 0):
        return 0
    elif( key in dict.keys()):

ChadThackray

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

import pandas as pd
import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt

## data processing
df = pd.read_csv("data.csv")
df = df[ df['Value'] > 0]

ChadThackray

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

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick

## data processing
df = pd.read_csv("data.csv")
df = df.iloc[::-1]

ChadThackray

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

import plotly.graph_objects as go
import pandas as pd

df = pd.read_csv("Kraken_BTCUSD_d.csv")

df = df.iloc[::-1]

df['date'] = pd.to_datetime(df['date'])

ChadThackray

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

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


weightings1 = {"SPY":"100"}
weightings2 = {"SPY":"95","BTC-USD":"5"}

ChadThackray

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

from datetime import datetime
import backtrader as bt

class SmaCross(bt.SignalStrategy):
   def __init__(self):
       sma = bt.ind.SMA(period=50)
       price = self.data
       crossover = bt.ind.CrossOver(price, sma)