def execute(self):
options = Command._parse_flags(['tickers', 'start_date', 'end_date',
'strategy'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
portfolio = Portfolio()
simulation = Simulation(portfolio, market)
trades = get_trades(options)
simulation.run(trades)
print(simulation)
def execute(self):
options = Command._parse_flags(
['tickers', 'start_date', 'end_date', 'strategy'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
portfolio = Portfolio()
simulation = Simulation(portfolio, market)
trades = get_trades(options)
simulation.run(trades)
print(simulation)
def execute(self):
options = Command._parse_flags(['tickers', 'start_date', 'end_date',
'model_dir'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
if len(market.stocks) != 1:
raise Exception('expected 1 stock, found %d' % len(market.stocks))
stock = next(iter(market.stocks.values()))
examples = stock.features_all()
print('DEBUG: examples', examples)
estimator = LinearRegressionEstimator(options['model_dir'])
estimator.train(examples, 1000)
print('trained model written to', options['model_dir'])
def execute(self):
options = Command._parse_flags(
['tickers', 'start_date', 'end_date', 'model_dir'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
if len(market.stocks) != 1:
raise Exception('expected 1 stock, found %d' % len(market.stocks))
stock = next(iter(market.stocks.values()))
examples = stock.features_all()
print('DEBUG: examples', examples)
estimator = LinearRegressionEstimator(options['model_dir'])
estimator.train(examples, 1000)
print('trained model written to', options['model_dir'])
def execute(self):
options = Command._parse_flags(['tickers', 'start_date', 'end_date'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
for stock in market.stocks.values():
print(stock)
def execute(self):
options = Command._parse_flags(['tickers', 'start_date', 'end_date'])
market = load_market(options['start_date'], options['end_date'],
options['tickers'])
for stock in market.stocks.values():
print(stock)
