Josh Belandres
Quant
Date Joined
19th February, 2024
Bootcamp progress
7% Complete
Achievements
Algorithm Sharing
Share an algorithm with the community by making your algorithm public.
2024-03-27 15:48:11
Backtester
Run at least 100 backtests on QuantConnect's cloud.
2024-11-26 01:41:09
Python Programming
Choose Python as your preferred programming language.
2024-02-19 04:22:56
- Profile
- Backtests
- Community
Biography
Activity on QuantConnect
This section highlights your contributions and engagement across the QuantConnect platform — including backtests, live trades, published research, and community involvement through comments and threads. It reflects your overall activity as part of the QuantConnect community.
Public Backtests (1)
View More0Net Profit
0PSR
0Sharpe Ratio
0Alpha
0Beta
0CAR
0Drawdown
0Loss Rate
0Parameters
1Security Types
0Tradeable Dates
0Trades
0Treynor Ratio
0Win Rate
Community
View MoreJosh started the discussion What is best practice for using historical equity fundamentals in universe selection?
Hi QC team,
0Net Profit
0PSR
0Sharpe Ratio
0Alpha
0Beta
0CAR
0Drawdown
0Loss Rate
0Parameters
1Security Types
0Tradeable Dates
0Trades
0Treynor Ratio
0Win Rate
Josh started the discussion What is best practice for using historical equity fundamentals in universe selection?
Hi QC team,
Josh left a comment in the discussion What is best practice for using historical equity fundamentals in universe selection?
I think your GPT is not updated with the latest docs. Per...
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Josh left a comment in the discussion What is best practice for using historical equity fundamentals in universe selection?
I think your GPT is not updated with the latest docs. Per...
1 years ago