samd | tryaspen.ai

after multiple conversations and feedback calls, it's validating to see that traders and investors resonate with the idea that there's an insane amount of edge in your scrolls, internet forums, blogs etc and surfacing that data to an agentic trading setup is a killer product

now that the dust has kinda settled, traders on @tryaspenai made money in the $NVDA news

see news see market commentary form a thesis buy

will be at the @EFDevcon main venue today till the evening, happy to meet folks. i run @tryaspenai which is a news trading app, we let you subscribe to latest news commentary from your timeline and find the best instrument for you to take exposure automatically.

Check nitter.gq/i/broadcasts/2jPBbQmeL…

how do you even track this

speaking here come join nitter.gq/i/spaces/1RKZzBavyVVKB

3 weeks since @tryaspenai feed relaunch and we have good inbounds from word of mouth hoping to increase this 10x in the next couple of months + more from socials

landed im mumbai for devcon, will be in and around the main venue happy to meet folks if you're into agents and trading

lomg day today

doing this on monday, will talk about why we're building @tryaspenai and how to navigate trading the timeline

for very obvious reasons $NBIS is the most traded market on @tryaspenai

there's no time to think there's only time to do

the usecase for agents / trading is compelling but i don't think the market has come to an understanding of what the end product will look like what will agents trade? why will these agents trade? who's going to benefit? will agents help you make more money? will agents help you lose less money? here are my takes until i have more datapoints - trading/finance harnesses are cool technically speaking and they're more valuable to enterprise customers rather than retail traders (talking in dollar value terms) - asking ai what to trade is both smart and stupid depending on who's asking - agents in the loop for trading will accelerate one important behaviour that is retail investors wanting to experiment with ideas which they couldn't without technical knowledge. this is the same replit for trading idea. without deep context and an extremely focused distribution channel, this is a failed idea. some category of traders has to adopt this before the rest follow. - people don't know what to trade, asking ai doesn't solve the problem. there has to be personalization at the context layer - it boils down to helping the end user receive the right information and make informed decisions when it comes to trading/investing, they'll pay for tooling - this isn't a bubble

the thing with trading the news, especially with the recent nbis, skhynix, smsn, anth hype and fomc (in an hr) is that you'd really struggle to get an idea of what the consensus is and if you agree/disagree with it things are all over the place, try doing it we kept these things in mind when designing @tryaspenai and it's showing results

feeling bullish