import numpy as np

path = 'set.csv'
types = ['U10', 'f8']
data = np.genfromtxt(path, dtype=types, delimiter=',', names=True)

def trade(p1, p2):
    idx = 2
    start_btc = 10
    last_d = data[-idx][0]
    start_p = data[-idx][1]
    start_val = round(start_btc * start_p, 4)
    wsk = 's'
    p1 = p1
    p2 = p2
    # print(f'  {last_d} {start_p}$ 0% {start_val}$ {start_btc}BTC')

    for i, x in enumerate(data[-idx+1::-1]):
        diff = round(((x[1] - start_p) / start_p) * 100, 0)

        if wsk == 's' and diff > p1:
            start_val = round(start_btc * x[1], 4)
            # print(f's {x[0]} {x[1]} {diff:.0f}% {start_val}$')
            start_p = x[1]
            last_d = x[0]
            wsk = 'b'

        if wsk == 'b' and diff < -p2:
            start_btc = round(start_val / x[1], 8)
            # print(f'b {x[0]} {x[1]} {diff:.0f}% {start_val}$ {start_btc} BTC')
            start_p = x[1]
            last_d = x[0]
            wsk = 's'
    return start_val, start_btc, start_p, last_d


if __name__ == '__main__':
    c = 0
    counter = 0
    for i in range(1, 200):
        for j in range(1,100):
            counter += 1
            result = trade(i, j)
            if result[0] > 87532.5:
                c += 1
                print(c, i, j, result)
    print(counter)