ETF Analysis. Advanced Suite of User-Friendly Backtesting Applications That Run In Your Browser. You can watch 1-min 'Explainer Video' on Homepage For Intro:
Joined December 2009
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ETFreplay retweeted
Hedge funds have tripled their usage of ETFs in the past 3yrs to $300b or 9% of reported 13F assets. They use them for a variety of purposes (incl shorts) but also compete w them = frenemies. Nice look at the HFs w most ETF exposure from @JSeyff in new note on BI ETF.
If you want to learn what Return Stacking is -- we've had the functionality for many, many years - we just called it being capital efficient. You use leveraged products to get your BETA up to 1.00 and this frees up capital to do uncorrelated alpha products. Like for more.
Which would you rather over time:
1. Buy S&P 500
2. Buy a note with SPX cash return but with 140% participation to upside and also 15% first-loss protection on the downside.
Assume a qualified account (IRA).
Simplifying RS models. If this gets enough engagement, will show some more examples. etfreplay.com/post/rs-compos…
If you just recklessly buy and buy volatile securities, you will learn your lesson in time. You will eventually lose so much money that you become scared to play.
ETFreplay retweeted
Jensen Huang explains the difference between AI and traditional Software and why there's no bubble.
Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool.
AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance.
This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically.
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From 'FT Live' YT channel (link in comment)
For young people. Remember that for smaller accounts relative to future contributions, the performance of the account is much less important. Its the contributions that will change the value. Dont ever get conservative with an account with significant contributions coming.
Starter rule of thumb -- use the standard deviation of the stock to determine how the rebalance period should work. If your stock has 60% vol, then you need to have a much more lenient rebalance rule. ie, Don't rebalance every 5% for a 60% vol. But that might be good for 15%.
Leverage is a powerful tool in finance. I doubt most retail investors know how to use it -- and I certainly observe most journalists have no clue. Use it for capital efficiency - not for crazy speculation. AQR is a good example of a firm uses extreme leverage effectively.
Quantitative Relative Strength has nothing to do with RSI. We get emails referencing 'RSI' and we have no RSI on ETFreplay.com RSI is a technical indicator that only runs on a single security. 'Relative Strength' in quant terms means looking at many securities.
Novice investors love to talk about the market P/E ratio. Why do you think it is that people that backtest strategies don’t do this?
Reminder: strategies that properly pair risk. — such as leveraged S&P with A good multi-strat fund will perform even better in high vol environments. But you will have to follow the rebalancing rules and make trades.
