@multi_byte-wildebeest Hello.

How to get the Sharpe Ratio is in the Quick Start template.
https://github.com/quantiacs/strategy-q20-nasdaq100-quick-start/blob/master/strategy.ipynb

import qnt.stats as qnstats def get_sharpe(market_data, weights): rr = qnstats.calc_relative_return(market_data, weights) sharpe = qnstats.calc_sharpe_ratio_annualized(rr).values[-1] return sharpe sharpe = get_sharpe(data, weights) # weights.sel(time=slice("2006-01-01",None))

or

import qnt.output as qnout qnout.check(weights, data, "stocks_nasdaq100")

or

stat = qnstats.calc_stat(data, weights) display(stat.to_pandas().tail())

or

import qnt.graph as qngraph statistics = qnstats.calc_stat(data, weights) display(statistics.to_pandas().tail()) performance = statistics.to_pandas()["equity"] qngraph.make_plot_filled(performance.index, performance, name="PnL (Equity)", type="log") display(statistics[-1:].sel(field=["sharpe_ratio"]).transpose().to_pandas()) qnstats.print_correlation(weights, data)

Please look at this post
https://quantiacs.com/community/topic/515/what-is-forward-looking-and-why-it-s-effective-badly-to-strategy/6?_=1711712434795

@support
Actually, I've write the weights to the output function.
螢幕擷取畫面 2024-04-24 235034.png
I think the reason might be that the data was out-of-date when the strategy received at the weekend. After the data update in the next day, it failed to pass the test.

@support The webpage is fine now. Thank you for the prompt response!

@magenta-grimer thank you @support 🙇 🙇 🙇 🙇 🙇 🙇
My compliments four your exceptional python skills

Thank you for highlighting the ongoing delays with strategy submissions #16931192 and #16931058. It's frustrating to wait so long! Consider escalating this issue through the official support channels or posting in the community forums for more visibility. Perhaps directly contacting a moderator might expedite the process. Papa's Freezeria . In the meantime, have you explored alternative strategies like optimizing keyword usage?

@support yes, they have

@support thanks, yes....

@antinomy Hello, sorry for the delay in the answer, the problem has been fixed in the meanwhile. If correlations are too high, you will get a warning. Note that correlations will be checked against template code and submissions to past contests of the same kind (which are not present currently as this is the 1st crypto long-only contest we run).

We managed to reproduce this issue and we fixed it.

@support Hello,

got it, thanks for the reply,

Thank you for the report. The template has been updated.

@anshul96go Hello, when you submit, you have to select the competition type.

If you want to submit a Bitcoin system, you have to select "Cryptofutures".

If you want to submit a Futures system not including Bitcoin at all, you have to select "Futures".

@support Thank you for the prompt response. Time to get on with it. Thanks again.

@support Thank you for your advise, it's ok

@support Thank you for your feedback. I also hope Quantiacs updates new strategy examples on how to use technical analysis (besides sma, trix_ema, atr_lwma,...), and strategies on using ML/DL models effectively (not an example that strategy forward-looking),...

Hopefully in the future Quantiacs will release new data sets such as news, sentiment, macro, options,... Create new contests that allow merging strategies to build portfolios,...

Hopefully, Quantiacs will continue to grow. Sincere thanks to Quantiacs for creating extremely high-quality contests.

@magenta-kabuto Thank you very much for your advice. I will research to apply your suggestions to the algorithm

@magenta-grimer thank you!!!

@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.

@support
Thanks a lot !

@support said in Local development import error:

conda install -y "quantiacs-source::qnt >= 0.0.225"

Now it works. Thanks!