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function cosineDistanceBetweenPoints(lat1, lon1, lat2, lon2) { | |
const R = 6371e3; | |
const p1 = lat1 * Math.PI/180; | |
const p2 = lat2 * Math.PI/180; | |
const deltaP = p2 - p1; | |
const deltaLon = lon2 - lon1; | |
const deltaLambda = (deltaLon * Math.PI) / 180; | |
const a = Math.sin(deltaP/2) * Math.sin(deltaP/2) + | |
Math.cos(p1) * Math.cos(p2) * | |
Math.sin(deltaLambda/2) * Math.sin(deltaLambda/2); |
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function pythagoreanDistanceBetweenPoints(lat1, lon1, lat2, lon2) { | |
const R = 6371e3; | |
const x = (lon2-lon1) * Math.cos((lat1+lat2)/2); | |
const y = (lat2-lat1); | |
const d = Math.sqrt(x*x + y*y) * R; | |
return d; | |
} |
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function haversineDistanceBetweenPoints(lat1, lon1, lat2, lon2) { | |
const R = 6371e3; | |
const p1 = lat1 * Math.PI/180; | |
const p2 = lat2 * Math.PI/180; | |
const deltaLon = lon2 - lon1; | |
const deltaLambda = (deltaLon * Math.PI) / 180; | |
const d = Math.acos( | |
Math.sin(p1) * Math.sin(p2) + Math.cos(p1) * Math.cos(p2) * Math.cos(deltaLambda), | |
) * R; | |
return d; |
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import sys | |
import time | |
from fairlay_public_api import FairlayPythonPublic | |
fairlay = FairlayPythonPublic() | |
# Dictionary to store up-to-date market asks and bids | |
order_dict = {} | |
while True: | |
markets = fairlay.get_markets_and_odds({ |
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import numpy as np | |
def moving_average(a, n=3) : | |
ret = np.cumsum(a, dtype=float) | |
ret[n:] = ret[n:] - ret[:-n] | |
return ret[n - 1:] / n | |
n = 12 | |
plt.plot(moving_average(btc_data, n=n)) | |
plt.plot(btc_data[n - 1:]) | |
plt.title('Daily Low Bitcoin Prices - 1 Year') |
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import matplotlib.pyplot as plt | |
plt.plot(btc_data) | |
plt.title('Daily Low Bitcoin Prices - 1 Year') | |
plt.ylabel('Daily Low - USD') | |
plt.show() |
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# Fetch a dict of a year of BTC prices | |
btc_data = getYearHistoricals('BTC')['data_points'] | |
# Tranform price dict to list of low prices | |
btc_data = [float(point['low_price']) for point in btc_data] |
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def getYearHistoricals(symbol): | |
symbol_dict = { | |
'BTC': '3d961844-d360-45fc-989b-f6fca761d511', | |
'ETH': '76637d50-c702-4ed1-bcb5-5b0732a81f48', | |
'LTC': '383280b1-ff53-43fc-9c84-f01afd0989cd', | |
'BCH': '2f2b77c4-e426-4271-ae49-18d5cb296d3a', | |
'DOGE': '1ef78e1b-049b-4f12-90e5-555dcf2fe204', | |
'ETC': '7b577ce3-489d-4269-9408-796a0d1abb3a', | |
'BSV': '086a8f9f-6c39-43fa-ac9f-57952f4a1ba6' | |
} |
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import robin_stocks as r | |
username = '' | |
password = '' | |
r.login(username, password) |
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def getHistoricals(symbol, span='year'): | |
symbol_dict = { | |
'BTC': '3d961844-d360-45fc-989b-f6fca761d511', | |
'ETH': '76637d50-c702-4ed1-bcb5-5b0732a81f48', | |
'LTC': '383280b1-ff53-43fc-9c84-f01afd0989cd', | |
'BCH': '2f2b77c4-e426-4271-ae49-18d5cb296d3a', | |
'DOGE': '1ef78e1b-049b-4f12-90e5-555dcf2fe204', | |
'ETC': '7b577ce3-489d-4269-9408-796a0d1abb3a', | |
'BSV': '086a8f9f-6c39-43fa-ac9f-57952f4a1ba6' | |
} |
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