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Alternatives

Products that do what DoubleTrends™ does

Rules-based S&P 500 signal for ETF investors

  1. 1DD

    Hey everyone, we’re JJ and Mark from Double (https://double.finance). Over the past few months we’ve been working on an investing app that lets anyone design and invest in their own stock index. Start by picking one or more strategies. You can find 20+ starting points in Double that vary from direct index versions of classic ETFs (like SPY) to strategies focused on specific industries, market trends, or themes (like YC public companies). You can also easily build your own grouping of stocks, and tilt your strategy towards or away from certain stocks or sectors. Once you’ve chosen…

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    Double292

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  3. 3

    Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve higher, players' down calls have only been right 31% of the time. There's a full stats dive at…

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  18. 18FL

    Hello - I’m the founder of Frec. We built a direct indexing product that lets you tax loss harvest the S&P 500 or the S&P Information Technology indexes for a low 0.10% fee and a minimum deposit of $20k. You can start your direct index with cash or contribute stock you already have. Our historical simulations based on 20-years of data show that we harvest ~40% of every deposit back in capital losses over a period of 5 years. I linked to a live demo account with a real $50k deposit made on Dec 5, 2023. The account shows that our trades track the S&P very closely. As of January 21, our direct…

    2024 · frec.com

  19. 19IB

    Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…

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