def buy(self, ticker):
if self.available_cash == 0 or self.available_cash < config[
'buy_amount_per_trade'] or self.is_trading_locked:
return False
# Retrieve the actual ask price from Robinhood
if not config['simulate_api_calls']:
try:
quote = rh.get_crypto_quote(ticker)
price = float(quote['ask_price'])
except:
print(
'Could not retrieve ask price from Robinhood. Using Kraken\'s.'
)
price = self.data.iloc[-1][ticker]
else:
price = self.data.iloc[-1][ticker]
# Values need to be specified to no more precision than listed in min_price_increments.
# Truncate to 7 decimal places to avoid floating point problems way out at the precision limit
price_precision = round(
floor(price / self.min_price_increments[ticker]) *
self.min_price_increments[ticker], 7)
# How much to buy depends on the configuration
quantity = (self.available_cash if
(config['buy_amount_per_trade'] == 0) else
config['buy_amount_per_trade']) / price_precision
quantity = round(
floor(quantity / self.min_share_increments[ticker]) *
self.min_share_increments[ticker], 7)
if config['trades_enabled'] and not config['simulate_api_calls']:
try:
buy_info = rh.order_buy_crypto_limit(str(ticker), quantity,
price_precision)
# Add this new asset to our orders
self.orders[buy_info['id']] = asset(ticker, quantity,
price_precision,
buy_info['id'], 'PB')
print('## Submitted order to buy ' + str(quantity) + ' ' +
str(ticker) + ' at $' + str(price_precision))
if (price != self.data.iloc[-1][ticker]):
print('## Price Difference: Kraken $' +
str(self.data.iloc[-1][ticker]) + ', Robinhood $ ' +
str(price))
except:
print('An exception occurred while trying to buy.')
return False
else:
print('## Would have bought ' + str(ticker) + ' ' + str(quantity) +
' at $' + str(price_precision) + ', if trades were enabled')
return False
return True
def buy(self, ticker):
if (self.available_cash == 0
or self.available_cash < config['buy_amount_per_trade']
or self.is_trading_locked):
return False
# Values need to be specified to no more precision than listed in min_price_increments.
# Truncate to 7 decimal places to avoid floating point problems way out at the precision limit
price = round(
floor(self.data.iloc[-1][ticker] /
self.min_price_increments[ticker]) *
self.min_price_increments[ticker], 7)
# How much to buy depends on the configuration
quantity = (self.available_cash if
(config['buy_amount_per_trade']
== 0) else config['buy_amount_per_trade']) / price
quantity = round(
floor(quantity / self.min_share_increments[ticker]) *
self.min_share_increments[ticker], 7)
if (config['trades_enabled'] and not config['simulate_api_calls']):
try:
buy_info = rh.order_buy_crypto_limit(str(ticker), quantity,
price)
# Add this new asset to our orders
self.orders[buy_info['id']] = asset(ticker, quantity, price,
buy_info['id'])
# Update the available cash for trading
self.available_cash = round(
self.available_cash - quantity * price, 3)
print('## Bought ' + str(ticker) + ' ' + str(quantity) +
' at $' + str(price))
except:
print('An exception occurred while trying to buy.')
return False
else:
print('## Would have bought ' + str(ticker) + ' ' + str(quantity) +
' at $' + str(price) + ', if trades were enabled')
return False
return True
orders = {}
data = pd.DataFrame()
# Load assets and data
if path.exists( 'pickle/orders.pickle' ):
with open( 'pickle/orders.pickle', 'rb' ) as f:
orders = pickle.load( f )
if path.exists( 'pickle/dataframe.pickle' ):
data = pd.read_pickle( 'pickle/dataframe.pickle' )
if len( sys.argv ) > 1:
if sys.argv[ 1 ] == 'buy':
try:
orders[ str( len( orders ) ) ] = asset( sys.argv[ 2 ], sys.argv[ 3 ], sys.argv[ 4 ], str( len( orders ) ) )
except:
print( 'Syntax: manage-asset.py buy ticker quantity price' )
exit()
elif sys.argv[ 1 ] == 'sell':
try:
orders[ sys.argv[ 2 ] ].status = 'S'
except:
print( 'Error: asset not found' )
exit()
try:
if float( sys.argv[ 3 ] ) > 0:
orders[ sys.argv[ 2 ] ].profit = round( ( orders[ sys.argv[ 2 ] ].quantity * float( sys.argv[ 3 ] ) ) - ( orders[ sys.argv[ 2 ] ].quantity * orders[ sys.argv[ 2 ] ].price ), 3 )
else: