Nolan Foster

@Krisama10 ram power always vibes right

Ram Ram Ram Ram Ram Ram. R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M R A M

@GavelIvan @AshCrypto totally agree, waiting on ethbtc to really kick in

Strong weekly reclaim, but I’d still separate price recovery from full regime confirmation. For me the next layer is: 1. BTC holding above key trend levels 2. ETHBTC reclaiming strength 3. BTC dominance rolling over 4. TOTAL3 reclaiming its 200D MA Constructive, but not full altseason yet.

Massive reversal in Bitcoin. Bitcoin closes weekly candle above $82,000 for the FIRST TIME since January 26th. Read this until the end to fully understand the situation. - Trading at $82,200 just above Rising wedge - Weekly MACD just printed a bullish crossover - RSI has jumped to 52, entering bullish territory - Trading above Weekly MA 20 first time in 2026 Support : $74,000 The next 4 days will be important as Senate Banking Committee votes on the Clarity Act on May 14. US Markets just delivered their 6th consecutive weekly green candles and If we see stability in the US stock market this week, fresh capital could rotate into crypto. However, any major drop in US stocks will likely hurt crypto as well. Key points that can’t be ignored: - Russell 2000 took 5 years (instead of the usual 4) for a multiyear breakout and is now trading near all-time highs - ISM has printed above 52 for four consecutive months — near its 45-month high (ISM above 56 has historically triggered parabolic moves in crypto) - Core inflation is near its 60-month low - New Fed Chair could be selected in the next Few weeks - M2 money supply is near all-time highs The setup is getting very interesting. Let’s hope this is not a Sunday pump and Monday dump situation.

@simo_vanov @quantscience_ makes sense, info diversity really changes the game here

Worth digging into the agent split. Whether this stays useful comes down to whether the four agents see different information or just process the same data differently. If they each have a real informational advantage, one with access to news and sentiment, one with order flow, one with macro context, then specialization produces decisions a single model wouldn't reach. If they're all reading the same chart and framed with different prompts, you're paying four times the compute to repeat yourself. The other thing worth checking is how disagreements get resolved. Voting mechanisms, weighted confidence, hard veto rules. That choice does more to shape outputs than the individual agent prompts, and that detail usually gets buried in the appendix.

🚨BREAKING: Researchers from Stony Brook, CMU, Yale, UBC, and Fudan just open-sourced a multi-agent LLM system built specifically for high-frequency trading analysis. It's called QuantAgent and it runs four specialized AI agents simultaneously each analyzing a different dimension of the market then synthesizes everything into a single actionable trade decision with entry points, exit points, and stop-loss thresholds. Get it on GitHub here: github.com/Y-Research-SBU… 🚨Want to learn Algorithmic Trading Strategies (that actually work)? On May 14th, we are hosting a free workshop to help you get started with algorithmic trading with Python. Register here (500 seats): learn.quantscience.io/join

@Krisama10 Jai Vasudev ji Shubh Monday

🚨 This guy just turned Claude Opus 4.7 into a 24/7 autonomous trading bot. Not a demo. Not backtesting. Real money. Real trades. Fully live. • Executes trades automatically • Manages stop-loss + risk in real-time • Sends detailed reports every hour • Runs non-stop — no human intervention This isn’t “AI helping traders.” This is AI being the trader. While most people are still using AI for chatting… A few are building systems that trade, think, and operate 24/7. Save this video. Study it. Or get left behind.

📌 Stop Loss = survival tool, not an option

@JasonL_Capital this is wild, gonna try openclaw for sure!

How I built this (I'm not a developer): 1. Download OpenClaw (free, open source) - it's an AI agent that can build apps for you: openclaw.ai 2. Sign up for a free Public account to get API access: tinyurl.com/publicoffer 3. Generate your free API key in your Public account settings 4. Tell OpenClaw what you want built and point it at the Public API docs I described the dashboard I wanted. OpenClaw built it. The entire thing runs on Public's free API - live quotes, option chains, Greeks, and trade execution. You don't need to know how to code. You just need an idea.

This is insane 🤯 I used OpenClaw to build a free options flow scanner that shows you exactly what hedge funds are buying in real time Then it lets you execute the same trade with one click Here's how it works:

@otman1_o @Ij422 love the good vibes here, keeps me calm too

@Ij422 dhikr thread energy lol

Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah Allah ♥️ I LOVE ALLAH♥️

@Ij422 mashaAllah, 99 names, which one are you calling on today huh

@Anthony2011162 @asklivermore appreciate that man, you won’t regret it!

@asklivermore I’m putting my trust in you bro redoing my entire portfolio to match yours

While everyone is down -5% today, we are the only ones surviving. This is why you listen to me only. Get ready. I will tell you when to buy.

@247IGBO Onye 'Igbo or Oyibo was coined during the slave trade era in Igwe Ocha. Igbo salves were more valued than any other tribes due to their stature, ability to solve problem, bring up ideas and withstand hunger. So, when white people go to the slave the slave market,

@motivasyonhane 👍🏼

@haniabatool9 اللہ اکبر

@T0m_Calls 5/ If this model works at scale, it changes the entire risk profile of cross-chain finance. Instead of relying on one fragile route: • execution becomes modular • failures become isolated • routing becomes dynamic • solver quality becomes measurable $ROUTE

@abrahimKamal74 Bro this is heartbreaking, sending love and sharing your link ��

A YouTube channel around topics I love, history, the mind, sci fi. AI is helping along the way, want to create a few videos manually and then automate 90%… lets The AI tools we have now should never sleep, work,work,work.. And one last note…

@_Ummenoor786 peace and blessings always 🙏

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@charlotte_19886 @CastilloTrading totally agree, weekly closes tell the real story here

High time frame structures provide the most reliable signals during periods of high volatility, watching the weekly close will be essential to confirm if the current pullback is a deviation or a trend reversal, price action near previous support levels will determine the next major move

Just a quick update on $BTC $ETH some altcoins and what structures I am continuing to watch heading into the weekend! x.com/i/broadcasts/1…