Questflow✓

Access has been democratized. Financial intelligence has not. Questflow turns top investors’ market judgment into AI Agents that retail investors can follow, understand, and invest with across markets. Today marks the next era of Questflow: Financial Intelligence for All. Watch the introduction from our Co-founder & CEO, @Bobbxu.

RT @QuestflowRSH: Logan Paul sold his Pikachu Illustrator for $16.49M. Then he put nearly all of it back into Pokémon collectibles and businesses built around them. He even reinvested in Rip It, self-funding the company with proceeds from the sale. The irony? He sold one of the most valuable Pokémon cards in the world, partly to free up capital, only to find himself pulled back into the same collecting cycle. But there’s a bigger lesson here about capital allocation. When passion and money overlap, financial success doesn’t always change spending behavior. Sometimes, it simply increases the scale of the game. For collectors, the asset isn’t just an asset. It carries emotional value, the thrill of the hunt, and the satisfaction of owning something rare. That makes walking away harder, even when the financial decision seems obvious. And when a hobby becomes a business, the line between collecting for passion and investing for returns gets even blurrier. The real question isn’t how much you make selling a prized asset. It’s whether you can resist the urge to reinvest it all back into what made you sell in the first place. Is this a collector’s curse, or a strategy for building an entire ecosystem around a passion? #QuestflowResearch #Collectibles #Pokemon #Investing #MarketPsychology

RT @QuestflowRSH: Google stock plunges 7.53% after Alphabet reports a major earnings miss. The market had high expectations. Alphabet failed to meet them, and investors are reacting fast. For a company at the center of the AI race, this raises a bigger question: Are the billions being poured into AI translating into the financial results Wall Street expects? As AI spending accelerates, investors are looking beyond ambitious roadmaps and focusing on revenue growth, profitability, and returns on investment. The message is clear: even the biggest players in AI aren't immune to earnings pressure. Is this a temporary market reaction, or a sign that expectations for Big Tech have gotten too high? 👇 #Google #Alphabet #AI #StockMarket #QuestflowResearch $GOOGL

GPT family update: Terra is now on Questflow 🚀 One more option for your AI Finance Agent. Faster, and cheaper to run. Give it a spin 👇

RT @questflow: Earnings season is back. And AI is back in the spotlight. Wall Street is expecting another strong quarter, with tech leading the way. From $TSM and $ASML to $AMD, $NVDA, and the memory giants, the next few weeks will give us a much clearer picture of how the AI spending cycle is holding up. We put together the key earnings dates for the rest of 2026. Save the calendar. The numbers are about to do the talking.

RT @Bobbxu: Howard Marks: optimists have run this market since Oct 2022, and the S&P has more than doubled. The risk isn't that the optimists are wrong. It's that there's nobody left to convert. (via @WOLF_Financial)

RT @QuestflowRSH: MARKET OPEN: U.S. stocks open higher, led by the Nasdaq, as Wall Street starts Tuesday’s session in positive territory. Nasdaq: +0.50% to 26,299.83 S&P 500: +0.31% to 7,700.42 Dow Jones: +0.04% to 52,384.42 The tech lead continues Monday’s rebound, when the Nasdaq rose 0.8% after Anthropic’s IPO filing. The S-1 showed $16.29B in first-half revenue, up from $1.16B a year earlier. Chip stocks rallied on it, and the market treated it as a vote of confidence in the broader AI supply chain. What to watch this week: → The Fed: its two-day meeting starts today, with a decision on Wednesday. Markets expect rates to hold at 3.75% to 4%, so the focus is on what the Fed says about future hikes after hotter inflation. → Earnings: Alphabet and Microsoft report on Wednesday, the same day as the Fed decision. → AI financing: Meta said it will raise $95B through stock offerings to fund its AI buildout. The moves are modest so far. The bigger test is whether earnings show AI spending paying off while the Fed signals where rates are going, which is a theme we’ve been tracking. $QQQ $NVDA $MSFT $GOOGL

RT @QuestflowRSH: Kimi K3.1 Pro tied Claude Opus 5.5 at 97.7% on the Questflow Finance Benchmark, at about 71% lower cost per task. Accuracy is converging at the top, so cost per task is becoming the metric to watch for finance agents. Benchmark results aren’t live trading results, but the efficiency gap is hard to ignore.

Kimi K3.1 Pro just matched Claude Opus 5.5 in financial intelligence! 🚀 @Kimi_Moonshot's latest model has completed the Questflow Finance Benchmark, and the results are seriously impressive. ♦️ 97.7% strict pass rate, tied for #2 overall ♦️ Market & Signal: 99.2%,outperforming Claude Opus 5.5 ♦️ Financial Analysis: 94.0% ♦️ Just $0.260 per task, approximately 71% cheaper than Opus 5.5 For AI Finance Agents, this means another powerful foundation model that combines strong financial capabilities with a significant cost advantage. Explore the full Questflow Finance Benchmark for detailed results, model rankings, and performance comparisons 👇

Your AI Finance Agent just got a brain upgrade 🧠 Kimi K3.1 Pro from @Kimi_Moonshot is now live on Questflow. Same agent. Just thinks better. Try it now 👇

RT @QuestflowRSH: Everyone benchmarks how smart an AI trading agent is. Almost nobody benchmarks its worst day. That’s the idea behind a few things we’ve been building at @questflow : → Arena puts 12 models into Polymarket and Hyperliquid with $10k each and records how each one behaves under pressure, sizes risk and handles a bad market. → Trade plans on the Finance Agent mark support, invalidation and targets before you enter, so you can see where the idea breaks, where to trim and where to let it run. Max daily loss, max position size and a kill switch you can hit from your phone are the first specs worth checking. Smart gets you the upside. Limits protect you from the downside.

Everyone benchmarks how smart an AI trading agent is. Nobody benchmarks its worst day. Max loss per day, max position size, a kill switch you can hit from your phone. That's the spec sheet I'd read first.

RT @Bobbxu: all in on $TRUMP via Questflow. The position is live, the PnL is real, and the trend still looks insane. Track the position in real time on @Questflow

RT @tonycotzias: @Bobbxu agree on requiring this validation. well put what if we could also enable this for social trading data? bring the best X trades into @questflow

RT @Dark_start_over: Tried @Questflow's AI Fund Manager on the BTC 15m chart today. One click, ~3 min, and it drew the levels right on the chart: - Bearish lean, 69% confidence - Price below 20/50 EMA, RSI 43 - Support ~81,350, then 81,015–80,933 - Reclaim 82,054–82,218 to flip the read Not advice, but a solid free first read before I look at a chart myself.

RT @tomatofroots: ethereum:native dropped 5.24% from its daily high, and whales started stepping in. @questflow Whale Signals had flagged a fresh $307.9K long cluster: $248.5K in Whale Consensus and a $59.4K new entry, detected just seven minutes earlier. Two levels I’m watching: $2,402 - a reclaim would give the bounce some confirmation. $2,359 - today’s low. Lose it, and those whale longs could be underwater fast.

RT @Bobbxu: Smart agents are easy now. Trustworthy ones are the product. That's what we're building at @questflow.

Looks like @Kimi_Moonshot has surprised everyone once again 👀 We're really looking forward to seeing how the new model performs on the Questflow Finance Benchmark. The hype is real. Now let's see what the numbers say.

Stay tuned for the latest updates from the Questflow Finance Benchmark! ⬇️

RT @TiPodcastt: How does a brand go from online sales to Costco and Walmart and what happens when customers start asking @ChatGPT what to buy? TiP sits down with Jason to explore how brands find their footing in America. From TikTok Shop and short series to his bet on conversational @ChatGPT ads, Jason shares the stories behind the strategies, how his team uses AI, and why knowing your customer still comes first.