AI moves too fast for 14 tabs.
Sophon is one screen for the whole field. Free, no signup.
Open the terminal โ https://t.co/cOOqAYHLeW
Tell me what's missing ๐
For those who are into Prediction Markets. @CryptoRank_io has introduced an aggregated table of Kalshi and Polymarket deals, with sorting and filtering features: https://t.co/tjnIitSGbe
I guess there's more to come.
@comradexbt@ashen_one Not possible to extract the words one by one in separate calls? I've spent couple of hours trying but it seems that the one long call is required.
@seraleev Reasonable enough.
I was surprised when I saw that Trending Apps was full of crypto related and VPN mini apps only, with hardly any other apps listed. Your answer shed light on this.
@0xtisticangel@octralex Not sure that I understood you. I saw Alex's reply and decided that it's good chance to verify my understanding of the complicated project, that's all.
@octralex@0xtisticangel Circles are isolated environments for building privacy apps and feeding encrypted data into the blockchain. I see this as "privacy as a service" so basically any entity (another blockchain or a bank) can connect to the Octra and perform computations.
(2/2)
@octralex@0xtisticangel As I got it from the Litepaper and your trained ChatGPT it's a blockchain with 2 core functions:
- p2p transactions (private and public);
- computation on encrypted data using HFHE. The data comes from the Circles (not only from them but this part is not clear for me).
(1/2)
@chartlecc became part of my daily morning routine, alongside coffee. Those charts contain so much information about economic growth, political events, and social habits. Itโs cool to use that knowledge to pick the correct answers.
@7_voh@Polymarket Hi!
Thanks for your feedback.
My assumption is that it scales better to higher timeframes then to lower ones but this need to be verified of course.
1/
Iโve been analyzing the Bitcoin Up or Down on the 1-hour timeframe on @Polymarket, and wanted to share some observations and data-driven analysis.
I didn't implement this strategy by myself. Just sharing some thoughts.
๐
@formula_ct@Cointelegraph Thank you for your work but it does not seem like a real "data-driven" research imo. Why are you so sure that 8 projects are representative sample? Stating lack of correlation by showing only 8 projects out of 200 is a bit weird. Data analysis requires statistics methods applied.
@Volkov8888 Worked at quite well-known crypto analytics product. Quit a couple of months ago because felt myself stagnating. Now trying to make my own app (non crypto) just to know how building looks like. Will be looking for a new job soon I guess
One more thing that I wanted to know is distribution of those unfavorable events in time. See the diagram below.
This must be correlated with volatility I guess. We see couple of "calm" hours in the morning and in the middle of the day.
12/
Anyway, I went deep down this rabbit hole, made a scraper, processed the price history, and ran all the stats.
It took more time than I expected โ so Iโm leaving the findings here before they disappear into the void.
Thanks for the attention.
Whatโs wrong with XAUTt0 on @Bybit_Web3?
This is the 1m timeframe. The price keeps jumping up and down.
And no, you canโt just catch the low and sell at the high. That doesnโt work here.
Iโm not sure the chart really correlates with the price at which you can buy and sell.