def load_ticks(filename): i = 0 ticks = [] for tick in get_tick('./historical-ticks/EUR_USD.csv'): i += 1 ticks.append(tick) if i >= 2000000: break return ticks
def load_ticks(filename): i = 0 ticks = [] for tick in get_tick('./historical-ticks/EUR_USD.csv'): i += 1 ticks.append(tick) if i >=2000000: break return ticks
def test_model(): model = ModelEngine(random_model, 1000) i = 0 wins, loses = 0, 0 for tick in get_tick('./historical-ticks/EUR_USD.csv'): i += 1 r = model.process(tick, i) if r is None: continue if r == 1: wins += 1 if r == -1: loses += 1 print ' wins: {0}, losses: {1} total: {2}'.format(wins, loses, i)
def test_model(): model = ModelEngine(random_model,1000) i = 0 wins, loses = 0,0 for tick in get_tick('./historical-ticks/EUR_USD.csv'): i+=1 r = model.process(tick,i) if r is None: continue if r == 1: wins += 1 if r == -1: loses += 1 print ' wins: {0}, losses: {1} total: {2}'.format(wins, loses, i)