@sun-73 Dear @Sun-73, there is no ticker for cash. Allocations smaller than 100% will result in a part in cash.

@support Thanks for the opportunity to be reprocessed. I cloned the programs and made the only change as suggested (from “pip install yfinance” to “ pip install git+https://github.com/ranaroussi/yfinance.git@c56e3496dbc6a701c4bcb94787acda7e2928b32d”). I run them successfully and submitted to the contest. The updated strategies are now under Sent Strategies / Filtered (rejected due to the rules). Details were sent to the email as requested. Much appreciated!

@johback

Hello

More examples are here https://github.com/quantiacs/toolbox/blob/main/qnt/tests/test_fundamental_data.py

This is a simple example.

import qnt.data as qndata import datetime as dt import qnt.data.secgov_indicators import qnt.data as qndata import qnt.stats as qns assets = qndata.stocks.load_ndx_list(tail=dt.timedelta(days=5 * 365)) assets_names = [i["id"] for i in assets] data = qndata.stocks.load_ndx_data(tail=dt.timedelta(days=5 * 365), dims=("time", "field", "asset"), assets=assets_names, forward_order=True) facts_names = ['operating_expense'] # 'assets', 'liabilities', 'ivestment_short_term' and other fundamental_data = qnt.data.secgov_load_indicators(assets, time_coord=data.time, standard_indicators=facts_names) # Operating expenses include marketing, noncapitalized R&D, # travel and entertainment, office supply, rent, salary, cogs... weights = fundamental_data.sel(field='operating_expense') is_liquid = data.sel(field="is_liquid") weights = weights * is_liquid # calc stats stats = qns.calc_stat(data, weights.sel(time=slice("2006-01-01", None))) display(stats.to_pandas().tail()) # graph performance = stats.to_pandas()["equity"] import qnt.graph as qngraph qngraph.make_plot_filled(performance.index, performance, name="PnL (Equity)", type="log")

@eddiee Dear Eddiee, yes, the rules and the universe are the same. We will need some more time to extend the universe and the data set, so we decided to run a new contest with the same rules.

Please note that according to the rules at https://quantiacs.com/contest/19

A Trading System will be deemed to be a “unique“ Trading System if it was not submitted by the same user to a previous Contest and it was not published by the Sponsor itself and it was not submitted by another user to a previous Contest or to the current Contest. The Sponsor will run on submissions a correlation filter and will have to right to disqualify submissions which are not deemed to be unique.

So re-submitting the same system will result into a system which is not eligible for a prize.

@theflyingdutchman thanks, understood

@support said in Submitting strategies:

@aybber mapquest directions Hello, that is just due to the fact that there is a long queue of systems to be processed, we will work on improving the processing time. Submission time will be extended to end of October as there were some issues.

Thank you, all is clear.

@alphastar Sorry for the very late answer, the issue has been fixed in the meantime....

@gjhernandezp yes, correct, 2/(n+1), sorry for the typo, thanks for correcting

@support said in Error found while running analysis:

@alfredaita wordle unlimited Thanks, can it maybe help? https://stackoverflow.com/questions/53421626/valueerror-found-array-with-0-sample-s-shape-0-1-while-a-minimum-of-1-is

Thanks a lot! I'll try that out.

@gjhernandezp Thank you for sharing your solution!

@gjhernandezp Hello, you can use them for local development. Unfortunately, we do not support yet external datafeeds after submission...it is on our to-do list.

@joshua408 We allow development on our cloud or local development on user's machines. No need to open any port.

@mwalimudan Sorry for the issue, but do not worry, we are extending the submission deadline to end of October as there were several issues. Please do not hesitate to report problems.

@support no worries, I've been able to recover the strategy thank you!

@joshua408 Yes, you can. You can use conda or pip for installing custom packages in your own environment by editing the init.py file

More info can be found at:

https://quantiacs.com/documentation/en/user_guide/code.html

@antinomy Ty

@eddiee Dear eddiee, no, please, for the moment do not resubmit. The timed out submissions are stored as timed out submissions and we can reprocess them. In case you need resubmission, we will let you know.

@support Thanks a lot!