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License: Apache License 2.0
Alpaca algo stock trading bot
License: Apache License 2.0
This really inhibits the usefulness of the application.
Would it be hard to have it load your current positions when it starts up?
I believe it also is the reason it throws the following error on startup:
2021-02-19T09:34:22.064436-05:00 selling stock if it goes up by 3%... Traceback (most recent call last): File "stockbot.py", line 638, in <module> main() File "stockbot.py", line 451, in main for stock in bought_stocks: UnboundLocalError: local variable 'bought_stocks' referenced before assignment
Suggested fix:
# times to buy/sell
if startbuytime == 'buyatopen':
- get_stocks_h, get_stocks_m = BAO_GET_STOCKS_TIME.split(':')
- buy_sh, buy_sm = BAO_BUY_START_TIME.split(':')
- buy_eh, buy_em = BAO_BUY_END_TIME.split(':')
- sell_sh, sell_sm = BAO_SELL_START_TIME.split(':')
- sell_eh, sell_em = BAO_SELL_END_TIME.split(':')
+ get_stocks_h, get_stocks_m = list(map(int, BAO_GET_STOCKS_TIME.split(':')))
+ buy_sh, buy_sm = list(map(int, BAO_BUY_START_TIME.split(':')))
+ buy_eh, buy_em = list(map(int, BAO_BUY_END_TIME.split(':')))
+ sell_sh, sell_sm = list(map(int, BAO_SELL_START_TIME.split(':')))
+ sell_eh, sell_em = list(map(int, BAO_SELL_END_TIME.split(':')))
else: # buy at close
- get_stocks_h, get_stocks_m = BAC_GET_STOCKS_TIME.split(':')
- buy_sh, buy_sm = BAC_BUY_START_TIME.split(':')
- buy_eh, buy_em = BAC_BUY_END_TIME.split(':')
- sell_sh, sell_sm = BAC_SELL_START_TIME.split(':')
- sell_eh, sell_em = BAC_SELL_END_TIME.split(':')
+ get_stocks_h, get_stocks_m = list(map(int, BAC_GET_STOCKS_TIME.split(':')))
+ buy_sh, buy_sm = list(map(int, BAC_BUY_START_TIME.split(':')))
+ buy_eh, buy_em = list(map(int, BAC_BUY_END_TIME.split(':')))
+ sell_sh, sell_sm = list(map(int, BAC_SELL_START_TIME.split(':')))
+ sell_eh, sell_em = list(map(int, BAC_SELL_END_TIME.split(':')))
get_barset
was deprecated in favor of get_bars
. We also need to use TimeFrame.Day
. There are likely many other issues related to this, but I'm still working through them.
for d in data['data']['table']['rows']:
# Get daily price data for stock symbol over the last n trading days.
- barset = api.get_barset(d['symbol'], 'day', limit=MOVED_DAYS)
+ barset = api.get_bars(d['symbol'], TimeFrame.Day, limit=MOVED_DAYS)
if not barset[d['symbol']]:
print('stock symbol {} not found'.format(d['symbol']))
continue
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