Financial infrastructure is rarely built in one announcement. Following the public updates from @DigiMaaya. An ecosystem is built through repeated work. Following @Utsav_DAR, founder of @DigiMaaya, for updates on the team's progress.

Three days of inflows, then this. I’d be curious to see what happens over the next few sessions before calling it a change in direction. Plenty to dig into with @tryquantio: app.tryquant.io/?ref=5A3HGMK… #QuantAIPioneers

Three assets made my watchlist for next week: $SOL, $PEPE, and irys:native. I started in Discover on Quant AI, then used the Assistant to investigate what was driving their moves, the risks involved, and what would make each worth watching. My question was simple: “What should I monitor next week, and what would change the outlook?” Here’s what stood out 👇 $SOL — Watching the $100 area SOL caught my attention after a roughly 15% decline over 30 days in my Discover snapshot. Quant’s research highlighted $100 as an important area to monitor, with resistance around $104–$106. I’m watching whether SOL can hold that support and recover with stronger volume. A sustained move above $103 would make the recovery more interesting, while losing $100 would weaken the case. Developments around Alpenglow and Firedancer are also worth following, although the research didn’t establish a confirmed upgrade event for next week. $PEPE — Can the weekly momentum hold? PEPE was up around 14.7% over seven days when I checked Discover. That put it on my list, but I wanted to understand what would support another move. Quant highlighted the $0.00000437 area as support and $0.00000476 as resistance. I’m watching whether buyers defend support and whether any attempt to reclaim resistance comes with stronger volume. The main risk is sentiment changing quickly. I’ll also be watching Bitcoin and broader interest in memecoins. irys:native — Watching what happens after the sharp move IRYS had the most dramatic numbers: up over 200% in seven days but down more than 26% in the latest daily reading. That made me curious about whether it could stabilise after such a volatile move. Quant highlighted $0.035–$0.038 as an area to watch for a base, with $0.0325 below it as another important level. For this one, I’m watching whether selling pressure eases and price can hold a range for several days. The size of the recent rally alone wouldn’t convince me. My main focus is SOL because its support and resistance give me the clearest conditions to follow. PEPE helps me track speculative appetite, while IRYS needs more evidence of stability. Quant AI helped me turn three tickers into specific questions I can revisit as the week unfolds. These levels are checkpoints from my research session, and the outlook can change. Want to research your own watchlist? Try Quant AI through my link: app.tryquant.io/?ref=5A3HGMK… @tryquantio #QuantAIPioneers

Building for digital assets means thinking about access, trust and usability. Putting the new @DigiMaaya post on the radar. Beyond the headline, I keep coming back to how partnerships can connect different audiences.

A +244.2% yearly return would catch anyone’s attention. But could I sit through a drawdown of more than half my capital? For today’s research on Quant AI, I looked into Long HYPE & BTC | Short Garbage. The strategy showed a +244.2% return over the past 365 days, alongside a −51.3% historical maximum drawdown across its 548-day track record. Those figures cover different periods, but together they give me more to consider than the return alone. I asked Quant what a comparable decline would mean for a hypothetical $1,000 investment. The balance would fall to $487, losing $513. Getting back to $1,000 would then require a gain of approximately 105.3% on the remaining money. That’s a hypothetical illustration, not an actual investor’s result, but it makes the percentage easier to understand. Quant also highlighted risks to investigate, including short squeezes and the possibility of the assets being shorted rising while the long positions fall. My verdict? I wouldn’t be comfortable seeing more than half my investment disappear from its peak. The returns are impressive, but that level of downside would be difficult for me to accept. And −51.3% is only the worst drawdown recorded so far. It doesn’t set a limit on future losses. Explore performance and risk with Quant AI: app.tryquant.io/?ref=5A3HGMK… @tryquantio #QuantAIPioneers