Offshore
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Dimitry Nakhla | Babylon Capital®
The new stock that Bill Ackman added:
$META
Source: Pershing Square 2026 Annual Investor Presentation
https://t.co/k50JBqdLHD https://t.co/uNTjfQQIIf
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The new stock that Bill Ackman added:
$META
Source: Pershing Square 2026 Annual Investor Presentation
https://t.co/k50JBqdLHD https://t.co/uNTjfQQIIf
Bill Ackman was on Fox Business this week saying “very high-quality businesses are showing up at very attractive levels”
He added that Pershing Square is approaching 15% cash & is “finishing due diligence on a company we’ve really wanted to own for years — now available at a bargain price”
Over the last several weeks, I’ve shared that many quality compounders are trading at the lower end of their 3-year valuation ranges and look attractive relative to their growth, durability, & moats
Before going any further I want to be clear: 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐩𝐨𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐢𝐜𝐡 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐁𝐢𝐥𝐥 𝐜𝐨𝐮𝐥𝐝 𝐛𝐞 𝐜𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐢𝐧𝐠 𝐢𝐬 𝐩𝐮𝐫𝐞𝐥𝐲 𝐬𝐩𝐞𝐜𝐮𝐥𝐚𝐭𝐢𝐯𝐞
I simply enjoy analyzing great investors and their frameworks, & @BillAckman has been one I’ve respected for years
Now lets guess 🤔
I believe the company is potentially Mastercard $MA & here’s why:
@KoyfinCharts recently shared Bill’s investment principles & $MA checks off every box
𝟏. 𝐊𝐞𝐲 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐢𝐬𝐭𝐢𝐜𝐬
✅Simple predictable FCF generative business
• $MA runs a toll-road-like payments network along with value added services & solutions & maintains >50% FCF margins
✅Formiddable barriers to entry
• $MA operates in a duopoly — a new competitor would need global merchant onboarding, bank integrations, regulators’ approval, & brand trust, among other things
✅Limited exposure to extrinsic factors that we cannot control
• $MA revenue is very stable especially over long periods & the company does not lend money, so it has no direct credit or balance-sheet risk
✅Generally low financial leverage levels
• $MA uses modest conservative leverage with strong interest-coverage ratios & stable cash generation
✅Minimal capital markets dependency
• Given its predictable recurring-like FCF, $MA is a self-funded business
✅Typically highly liquid mid & large cap companies
• $MA has a $488B market cap
𝟐. 𝐀𝐭𝐭𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧
✅Fair price as is but a substantial discount to optimized value
• $MA trades for 29x (lower end of its 3 year range & a PEG <2.00)- Dimitry Nakhla | Babylon Capital®tweet
Offshore
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Benjamin Hernandez😎
The "Consumer" Speculation
Recommendation: $MB ~$4.85
MasterBeef Group is a tiny micro-cap up +10.23%. Consumer services rotation is hitting the smaller names.
Reason calling it: At $83M market cap, it only takes a little volume to send this to $6.50. https://t.co/9Ag2RE1zi5
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The "Consumer" Speculation
Recommendation: $MB ~$4.85
MasterBeef Group is a tiny micro-cap up +10.23%. Consumer services rotation is hitting the smaller names.
Reason calling it: At $83M market cap, it only takes a little volume to send this to $6.50. https://t.co/9Ag2RE1zi5
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Offshore
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DAIR.AI
// Scaling Generalist Agent Intelligence //
This new research introduces AgentSkiller, a fully automated framework for synthesizing multi-turn interaction data across realistic, semantically linked domains. The architecture uses a Directed Acyclic Graph to ensure determinism and recoverability throughout the generation pipeline.
The pipeline follows five phases.
* First, it builds domain ontologies and Person-Centric Entity Graphs to structure data around realistic scenarios.
* Second, it defines Service Blueprints for MCP servers.
* Third, it populates environments with constraint-satisfying databases and strict domain policies.
* Fourth, a cross-domain fusion mechanism links services to simulate complex multi-turn tasks.
* Finally, execution-based validation filters out any trajectories that fail runtime checks.
The Dual-Model Architecture decouples semantic reasoning from code implementation. A Textual LLM handles domain expansion and policy formulation, while a Coding LLM handles SQL generation and Python implementation.
With approximately 11K synthesized interaction trajectories, AgentSkiller-14B achieves 79.1% on tau2-bench, outperforming GPT-o3 at 68.4% and Claude Sonnet 4 at 56.8%. On ACEBench-Agent, it scores 78.0%, surpassing Gemini-2.5-pro by 14.6 points.
AgentSkiller-4B at just 4 billion parameters scores 66.0% on tau2-bench, outperforming xLAM-2-70B at 41.0% and Qwen3-Thinking-235B at 58.6%. Cross-domain data is critical: adding it to single-domain training boosts tau-bench from 45.4% to 67.2%.
High-quality synthetic data with deterministic environment construction lets compact open-source models match or exceed proprietary systems on complex tool-use tasks.
Paper: https://t.co/6d92LkXBGm
Learn to build effective AI Agents in our academy: https://t.co/LRnpZN7L4c
tweet
// Scaling Generalist Agent Intelligence //
This new research introduces AgentSkiller, a fully automated framework for synthesizing multi-turn interaction data across realistic, semantically linked domains. The architecture uses a Directed Acyclic Graph to ensure determinism and recoverability throughout the generation pipeline.
The pipeline follows five phases.
* First, it builds domain ontologies and Person-Centric Entity Graphs to structure data around realistic scenarios.
* Second, it defines Service Blueprints for MCP servers.
* Third, it populates environments with constraint-satisfying databases and strict domain policies.
* Fourth, a cross-domain fusion mechanism links services to simulate complex multi-turn tasks.
* Finally, execution-based validation filters out any trajectories that fail runtime checks.
The Dual-Model Architecture decouples semantic reasoning from code implementation. A Textual LLM handles domain expansion and policy formulation, while a Coding LLM handles SQL generation and Python implementation.
With approximately 11K synthesized interaction trajectories, AgentSkiller-14B achieves 79.1% on tau2-bench, outperforming GPT-o3 at 68.4% and Claude Sonnet 4 at 56.8%. On ACEBench-Agent, it scores 78.0%, surpassing Gemini-2.5-pro by 14.6 points.
AgentSkiller-4B at just 4 billion parameters scores 66.0% on tau2-bench, outperforming xLAM-2-70B at 41.0% and Qwen3-Thinking-235B at 58.6%. Cross-domain data is critical: adding it to single-domain training boosts tau-bench from 45.4% to 67.2%.
High-quality synthetic data with deterministic environment construction lets compact open-source models match or exceed proprietary systems on complex tool-use tasks.
Paper: https://t.co/6d92LkXBGm
Learn to build effective AI Agents in our academy: https://t.co/LRnpZN7L4c
tweet
Offshore
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NecoKronos
At this point, if you're still ignoring stacked imbalances after seeing my posts, you're actively choosing to make trading harder
It is literally the market showing you exactly where the unfinished business is.
If you have the correct template, these levels scream at you.
Stop ignoring the clearest alpha on your screen.
Wake up
#BTC
tweet
At this point, if you're still ignoring stacked imbalances after seeing my posts, you're actively choosing to make trading harder
It is literally the market showing you exactly where the unfinished business is.
If you have the correct template, these levels scream at you.
Stop ignoring the clearest alpha on your screen.
Wake up
#BTC
Stacked imbalances = The ultimate market magnets. 🧲
When aggressive orders stack up, they leave a trail of "unfinished business" that price is destined to return to.
In simple terms, an order flow imbalance happens when aggressive buyers or sellers completely overwhelm the other side at a specific price.
Stop guessing and start following the flow!
#BTC - NecoKronostweet
Offshore
Video
The Transcript
$SHOP:
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$SHOP:
Shopify’s Q4 2025 earnings are out.
The headlines:
→ We now power more than 14% of the US ecommerce market
→ GMV is up 29% to $378B
→ Revenue is up 30% to $11.5B
→ Free cash flow exceeded $2B
→ Q4 was our first quarter above $3B in revenue
But 2025 wasn’t just about growth, it was about building for what’s next.
AI is changing how people shop. Merchants are racing to meet it. And we plan to keep powering them.
Watch the video for more. - Harley Finkelsteintweet
Offshore
Video
The Transcript
RT @tobi: it's going ok
tweet
RT @tobi: it's going ok
Shopify’s Q4 2025 earnings are out.
The headlines:
→ We now power more than 14% of the US ecommerce market
→ GMV is up 29% to $378B
→ Revenue is up 30% to $11.5B
→ Free cash flow exceeded $2B
→ Q4 was our first quarter above $3B in revenue
But 2025 wasn’t just about growth, it was about building for what’s next.
AI is changing how people shop. Merchants are racing to meet it. And we plan to keep powering them.
Watch the video for more. - Harley Finkelsteintweet