I’ve been looking at $PENDLE and waiting for a possible opportunity to buy, so I added it to my watchlist. But before making any decision, I wanted to understand more about the project and whether it was worth keeping an eye on. So I went to @tryquantio to do some research. At the time I checked, PENDLE was trading around $1.98, down 8.31% over seven days and 24.21% over 30 days. The drop got my attention, but a lower price alone isn’t enough reason to buy. I wanted to know what was happening with the project too. Pendle is a DeFi protocol that lets users trade the future yield of assets. It splits an asset into two parts: a Principal Token (PT) and a Yield Token (YT). The PT gives exposure to the principal, while the YT gives exposure to the yield generated until maturity. One thing I found interesting was Pendle’s expansion into real-world asset markets. Its recent additions include deJAAA, a tokenized credit strategy, and PAXGy, a gold-backed yield asset. There’s also PendleLoop, which supports leveraged yield strategies, and Boros, which focuses on funding-rate markets. I’m interested in seeing whether these products attract sustained activity. Of course, there are risks. Pendle interacts with other protocols and underlying assets, so problems with any of them could affect users. Another thing to watch is whether users move their funds into new pools as existing ones mature. I also asked Quant if there might be a buying opportunity soon. It highlighted $1.85–$1.92 as an area to watch if PENDLE dips, and $2.05 as a potential breakout level. These aren’t guaranteed support or buy signals, but they give me a starting point for watching how the price behaves. For now, I’m keeping $PENDLE on my watchlist. I want to see how it reacts around these levels and how its newer markets perform before deciding what to do. You can research assets on Quant here too: app.tryquant.io/?ref=5A3HGMK… #QuantAIPioneers

Infrastructure and usability should be part of the same conversation. Adding @DigiMaaya's latest post to the conversation. Founder @Utsav_DAR is part of the team sharing that direction. Community and product should grow together.

ETH was down almost 14% over 30 days, but some of the commentary around it was still bullish. I wanted to understand why. For today’s Five-Tab Challenge, I chose ETH and worked through five parts of the research in one @tryquantio session: the market, news, sentiment, signals, and risks. My starting question was simple: “What supports a bullish outlook here, and what challenges it?” I started with the price. In Discover, ETH was around $2,314, down 1.68% in 24 hours, 3.46% over seven days, and 13.96% over 30 days. Daily volume was about $10.43B. The recent trend was weak, so I took those numbers to the Assistant and asked about the price structure and levels worth watching. Its research highlighted $2,300 as nearby support and roughly $2,380–$2,406 as an initial resistance area. At the research snapshot, ETH was still above $2,300. That distinction mattered because the first response discussed a breakdown more confidently than the available price information supported. The news brought up competing arguments. The Assistant surfaced reports of ETH ETF outflows, BitMine buying, and developments around the Glamsterdam upgrade. I wanted to understand how those stories fitted together. Could accumulation support ETH while ETF outflows continued to weigh on it? Rather than stop at the first response, I asked the Assistant to audit its research, provide sources, and flag anything it couldn’t verify. The ETF figures covered different reporting periods, so I left out a single headline total. The reported BitMine holdings were mathematically consistent with roughly 5% of supply, but the holdings themselves still needed primary-source confirmation. The upgrade timeline also needed an official check. That follow-up gave me a better sense of which details I could use and which ones needed more work. Then I looked at positioning. The Assistant reported about $2.59B in ETH perpetual open interest and positive hourly funding of 0.001008%. It also returned a leaderboard snapshot where eight accounts with active ETH exposure held shorts totalling roughly $580M. That caught my attention, especially alongside the bullish commentary. But eight accounts don’t represent the entire ETH market, and their visible shorts could be offset by positions elsewhere. The positive funding reading also wasn’t clear evidence of extreme short crowding. I couldn’t conclude that a squeeze was coming just because the sampled accounts were short. In Signals, I found a claim worth investigating. Carl Moon’s ETH post argued that a large imbalance in potential short and long liquidations could favour an upside move. I asked the Assistant to compare that claim with the research we’d already done. The audit traced the figures to an unverified social claim based on liquidation heatmap estimates. It didn’t establish the venue coverage or price range well enough for me to treat those numbers as confirmed. A squeeze remained a possibility, but I didn’t have enough evidence to make it my main conclusion. Finally, I brought the risks together. The questions I came away with were: • Can ETH keep holding the $2,300 area? • Can it reclaim nearby resistance with stronger volume? • Will the reported ETF outflows ease? • Is the reported accumulation translating into broader demand? • How much of the recovery argument still depends on information that needs checking? By the end of the session, I understood the optimism better, but I still wanted more evidence of a recovery. Signals on Quant gave me a specific claim to investigate. It helped connect the price action, news, positioning, and risks and asking follow-up questions helped me spot gaps in the initial research. Having everything in one session made it easier to follow the argument through instead of collecting separate bits of information and trying to connect them afterwards. If you want to try the same research workflow, here’s my referral link: app.tryquant.io/?ref=5A3HGMK… #QuantAIPioneers

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