Readit NewsTrue! And, aside from people with chronic conditions like diabetics, who are forced to know how their glucose levels work, nobody uses those. So it certainly does change the cost, but I don't think it would be any more useful in the US.
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This is an entirely spare-time project on which I've been working publicly for the past year.
Here's some info about the tech stack I'm using: https://news.ycombinator.com/item?id=26693959
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Neither wind nor nuclear are suitable to use for peak power.
Long term lurker here - hoping to share my side project, Q.
Like most people reading this, I normally start my day off by going through the first few pages of HN, finding articles I'd like to read. If your experience has been anything like mine, you probably also open up a bunch of tabs, read a few, and eventually close the rest (especially if Chrome is eating up all your memory!). It's pretty much the same process with other websites I visit as well.
I built Q(ueue... heh) to make my online reading life easier. I wanted a simple way to add and read articles while on my computer, so I made a browser extension that lets you do things with just keyboard shortcuts (Pressing "Ctrl+Shift+Space" adds my current page, while "Ctrl+Shift+Right Arrow" fetches the next article in my queue - I can also right click add, which I find helpful when browsing HN).
In order to pick up where I left off with my phone, I created an app (on iOS only for now) that makes it really easy to add (via the share thingy) and read articles. You can even set it to open up articles in reader mode which I find gets rid of a lot of visual clutter on most pages (and annoying ads).
I've been using it for a few months now and have been quite happy so wanted to share Q with the community as well.
At the end of the day, this is really just an extremely minimal bookmarking app fine-tuned to how I personally wished they worked. I really hope you find Q useful as well!
I collect the bare minimum to create an account (username, email, and password) but I understand people might not want to create an account.
Here is an account you can use if you want to try it out first: email: hackernews-demo-user@gmail.com password: hackernews
Would love any feedback or suggestions on things to improve! You can also reach me at mimicrylabs@gmail.com as well.
Website: https://q.mimicrylabs.com/
Firefox extension: https://addons.mozilla.org/en-US/firefox/addon/q-by-mimicry-...
Chrome extension: https://chrome.google.com/webstore/detail/q-by-mimicry-labs/...
iOS app: https://apps.apple.com/us/app/q-by-mimicry-labs/id1552578757
Privacy policy at: https://q.mimicrylabs.com/privacy
Since launching https://grizzlybulls.com in January 2022:
Model | Return | Max drawdown
-------------------
S&P 500 (benchmark) | 21.51% | -27.56%
VIX TA Macro MP Extreme | 64.21% | -16.48%
VIX TA Macro Advanced| 59.13% | -19.12%
VIX TA Advanced | 35.20% | -22.96%
VIX Advanced | 33.39% | -23.93%
VIX Basic | 24.29% | -24.23%
TA - Mean Reversion | 22.30% | -19.92%
TA - Trend | 27.07% | -24.98%
This is an unleveraged, apples to apples comparison. These are not high frequency trading models. Most of them only change signal once every 2-4 weeks on average. During long signals, the models are simply long the S&P 500 and during short signals, they go to cash.
One of the pros of this macro swing-trading/hedging style is high tax efficiency, by holding a core ETF long position that never gets sold and then selling S&P 500 futures (ES or MES) of equal value to the ETFs against the long position. This way your account will accumulate unrealized capital gains indefinitely and you'll only pay tax on the net result of successful hedging. The cherry on top is that the S&P 500 futures are section 1256 contracts that are taxed at 60% long term / 40% short term capital gains rates regardless of the duration they are held.
The models use a variety of indicators, many of them custom built. Most important are various VIX metrics (absolute level, VIX futures curve shape/slope, divergences against S&P 500 price, etc), trend-following TA metrics (MACD, EMV, etc), mean-reversion TA metrics (Bollinger Bands, CMO, etc), macroeconomic (unemployment, housing starts, leading composite), and monetary policy (yield curve inversion, equity risk premium, dot plot, etc). They've been backtested very cautiously to avoid overfitting to the best of my ability.