Or do you use these positions to put on at the open of next trading day?
Exactly that
GAT
Or do you use these positions to put on at the open of next trading day?
Hi GAT, Is there a way to dig out the information on trades in pysystemtrade i.e. to evaluate the distribution of trades (not the daily distribution of returns)?
Not in an easy way right now
GAT
Hi GAT,
you wrote a blog post about using Native IB API. However I don't see the code in your github, what's available is some code that works with IBSwig framework. Do you plan to release this part on github? If you are, will it be a live trading framework or some tests and examples similar to the IBSwig?
from systems.provided.futures_chapter15.estimatedsystem import futures_system
system = futures_system(log_level="on")
print(system.accounts.portfolio().sharpe())
acc_curve=system.accounts.pandl_for_subsystem("AUD")
The above code fails at
W:\GDrive\19\Code\Python\pysystemtrade\syscore\optimisation.py in decompose_group_pandl(data, identifier, pool_costs, pool_gross, backfillavgcosts)
370
371 """
--> 372 assert identifier in data.keys()
It seems that initially, the system has 38 instruments but when I try to focus on a single instrument, data.keys() contains only "CORN", "EDOLLAR", "EUROSTX", "MXP", "US10", "V2X"
Is there any reason why this is happening?
Hi GAT,
I notice a bug(?) in pysystemtrade.
Code:system.accounts.portfolio(roundpositions=False,delayfill=False) >>> system.data.daily_prices("GBP").tail(10) Loading csv data for GBP 2017-01-05 1.2427 2017-01-06 1.2293 2017-01-09 1.2178 2017-01-10 1.2179 2017-01-11 1.2223 2017-01-12 1.2178 2017-01-13 1.2200 2017-01-16 NaN <-------- Holiday 2017-01-17 1.2411 2017-01-18 1.2352 >>> system.accounts.get_notional_position("GBP").tail(10) 2017-01-05 -84.629566 2017-01-06 -77.148345 2017-01-09 -75.307283 2017-01-10 -78.993038 2017-01-11 -81.460877 2017-01-12 -85.617533 2017-01-13 -88.694337 2017-01-16 -88.694339 2017-01-17 -86.485507 2017-01-18 -88.339476 >>> system.accounts.pandl_for_instrument("GBP").tail(10) 2017-01-05 -7555.350031 2017-01-06 10596.153621 2017-01-09 8760.748599 2017-01-10 -72.328423 2017-01-11 -2942.568750 2017-01-12 3170.171272 2017-01-13 -1588.764330 2017-01-16 0.000000 2017-01-17 0.000000 <-------- not supposed to be zero 2017-01-18 4656.453583