The Q20 Contest Started
news-quantiacs last edited by news-quantiacs
Hello quants! The Q20 contest started. You can develop trading systems on the Nasdaq stocks and you can use fundamental data.
Please check the templates, we will provide examples to get started.
In the meantime you can read documentation here:
The submission phase will last until end of September 2023, and the live evaluation until end of January 2024.
Hi Quantiacs Team,
do I have to adjust this backtest function in order to participate in the Q20 Contest?
weights = qnbt.backtest_ml(
train_period=4365, # the data length for training in calendar days
retrain_interval=20365, # how often we have to retrain models (calendar days)
retrain_interval_after_submit=None, # how often retrain models after submission during evaluation (calendar days)
predict_each_day=False, # Is it necessary to call prediction for every day during backtesting?
# Set it to true if you suspect that get_features is looking forward.
competition_type='stocks_nasdaq100', # competition type
lookback_period=365, # how many calendar days are needed by the predict function to generate the output
start_date='2006-01-01', # backtest start date
build_plots=True # do you need the chart?
And a second question: Is the usage of fundamental data is obliged, in order to participate in the Q20 Contest or is it just a valuable option?
@EDDIEE Hi, it looks ok. Using fundamental data in strategy is not mandatory for Q20 submissions.
@support Thanks, I just checked the availability of fundamental data. Unfortunately, the quality of the data before 2012 is not sufficient. Maybe you can improve this in the future.
yes, I've also tried using the fundamental data but it's impossible since before a certain date its quality is not enough.....
can @support give any help about it?
@eddiee Thank you, yes, definitely. If you can send us some bad example (low quality), it will help, so we can focus on the most important defects found by the users.
@support honestly I don't understand what you need...
I would like to use fundamental data for Q20, but its quality before 2012 seems not good enough.
I was thinking about creating an hybrid strategy that maybe uses technical indicators before 2012 and fundamental data after that, but I've struggled to create such a strategy. Maybe you could help in this regard.
Or maybe another solution could be fill the dataset before 2012 with artificially created data...
@magenta-grimer Can you send us a list of steps we can take to increase the quality of the data before 2012?
As far as the Sharpe ratio is larger than 1 in sample, the submission will be accepted, so you will have more than 10 years of fundamental data for development stil.
Your system will be eligible if the Sharpe ratio in sample is larger than 1, and you will have still more than 10 years of fundamental data at your disposal.
Thank you @support, maybe you can be so kind to post a complete strategy using this "trick" ? A strategy based on this fundamental dataset?
@magenta-grimer hi, you can find one very simple example here: