running man

[running man @trendtrade]

@spect3ral heyoz

[Ryan Hogue @RyansMethod]

The Setup For $400,000 Bitcoin & $1,200 $MSTR is About to Begin

[running man @trendtrade]

@MomoEdgeAI @khawatmiTradez Ok I’m in what channel would be best to look at for alerts or trade ideas . Don’t see anywhere for mall

[running man @trendtrade]

@MomoEdgeAI @khawatmiTradez No how do I get there?

[Roan @RohOnChain]

i can't believe this 1 hour talk by the people who control the world's financial system including Ray Dalio, Jamie Dimon & Larry Fink literally told you exactly where the money is going for the next decade:

[running man @trendtrade]

@peptidepirate Thank you!

[peptidepirate🏴‍☠️ @peptidepirate]

I run longer continuous cycles rather than short fragmented ones 🏴‍☠️

GHK-Cu works upstream at the gene expression level which means the benefits compound the longer you give the signal to work🏴‍☠️

My typical protocol is 8 to 12 weeks on at 1-2 to 2 mg daily subcutaneous then 4 weeks off to let the system recalibrate (some may say this is not needed it’s just what my rat likes)🏴‍☠️

The off period matters because chronic continuous exposure can blunt the receptor sensitivity even though GHK-Cu is endogenous🏴‍☠️

During the off window your body has time to upregulate its natural production pathways which makes the next cycle hit harder 🏴‍☠️

Some users run it indefinitely at lower doses like .5 mg to 1 mg daily which is also defensible since it is restoration of a compound you naturally produce🏴‍☠️

The honest answer is the optimal protocol depends on your goals tissue repair systemic anti inflammatory or longevity all benefit from slightly different cycling structures 🤝🏴‍☠️

[Jainam Parmar @aiwithjainam]

10 OPEN-SOURCE AI TRADING AND FINANCE REPOS THAT SHOULDN'T BE FREE

Bookmark every one. Hedge funds pay six figures a year for what these give away for $0.

1. https://t.co/fZ4AXhfnY2

A Bloomberg Terminal costs $24,000 a year per seat. OpenBB gives you equities, options, crypto, macro, and fundamentals pulled from dozens of data vendors into one workspace, with an AI copilot on top.

2. https://t.co/JV8Te5qWZ9

The other Bloomberg killer, rebuilt as a native C++ desktop app for speed. 37 AI agents covering value investing to geopolitics, full QuantLib integration, and direct trading through 16 brokers including Interactive Brokers.

3. https://t.co/dJjCB0tpbA

A full hedge fund team made of 18 AI agents. Buffett, Munger, Burry, Cathie Wood, and Druckenmiller each analyze the same stock from their own philosophy, then a portfolio manager makes the call. Backtesting built in.

4. https://t.co/cNZ4y7nvIm

An autonomous hedge fund in Python. Four agents run back to back: a Director writes the thesis, a Quant validates it, a Risk Manager sizes the position and can block the trade, and an Execution agent places the order only after everything clears.

5. https://t.co/W3YMOLYbue

A DAG-based multi-agent quant system where specialists debate and hand off while you watch the reasoning stream live. 64 finance skills, 29 swarm presets, cross-market backtesting. Ichimoku, Elliott Wave, Black-Scholes, Black-Litterman, full Greeks.

6. https://t.co/lvpe1hcyV2

Bloomberg spent millions training BloombergGPT and kept it locked inside the terminal. FinGPT is the open answer: financial language models you can fine-tune yourself for sentiment, forecasting, and analysis.

7. https://t.co/5Es2esXFPd

The first open framework for training deep reinforcement learning agents to trade. Funds pay quant teams to build pipelines like this from scratch.

8. https://t.co/8jn9ts4qmI

Microsoft's own AI quant platform. The full research pipeline funds build internally: data handling, alpha modeling, backtesting, and portfolio optimization, with supervised learning and RL baked in.

9. https://t.co/Odwbyp4Ayd

The backtesting engine retail traders pay TradingView and others monthly subscriptions to access. Backtrader runs strategies against years of historical data on your own machine, with live trading support for multiple brokers.

10. https://t.co/nIKh2w60jj

A full portfolio analytics tearsheet, Sharpe, Sortino, drawdown, rolling stats, the same risk report a fund's analytics desk produces. One line of Python turns your returns into an institutional-grade report.

A $24,000 Bloomberg seat. Or a Docker command. Your call.

[Chris Koerner @mhp_guy]

Meet Phil. He's a retiree who didn't know how to code six months ago.

Today he's closing $50,000 consulting contracts and building custom AI apps that clients gladly pay $3,500 for.

He started by texting every contact in his phone. Over 1,000 people. And just asked to meet for coffee.

With his first few meetings, he talked too much and tried to sell AI solutions instead of listening to their problems.

But then he figured it out.

Now, he just sits down, asks what's broken in their business, records the conversation on an AI pendant he wears, and plugs the transcript into Claude.

Claude helps him build the solution, draft the contract, and even price the whole thing.

One client is a chiropractor launching a new laser service. Phil charged $3,500 upfront and $1,500/month.

Took him 12 hours to build the entire launch system.

Another is an investment firm managing $1.4 billion. That contract? $50,000 for six months of part-time work.

In this episode Phil:
- Breaks down how he went from voice agents to $50K contracts in six months
- Shows exactly what he built for each client and how long it took
- Tells me why friends and family are the best first customers
- Gives the framework he uses to stay motivated when nothing's working yet

This one fired me up. Check it out.

[running man @trendtrade]

@crypto_condom @TheFlowHorse All great points but 100% factored in. Why do you think prices are so down?

[Shubham Saboo @Saboo_Shubham_]

https://t.co/ka5oPvyyKW

[Akshay 🚀 @akshay_pachaar]

Hermes agent masterclass.

In this video, I cover everything you need to understand and customize Hermes Agent. Self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 agents that work for you 24/7.

Enjoy!

Chapters:

00:00 - Intro
02:03 - How to get the most out of this video
02:32 - What we're building (and why it's wild)
07:11 - How the whole thing works under the hood
09:27 - The SOUL.md: your agent's personality file
11:15 - The 3-tier memory system that keeps it all together
14:16 - Skills: what your agent can actually do
16:49 - The self-evolving loop (agents that improve themselves)
19:58 - The curator: Hermes' built-in garbage collector
22:56 - GEPA optimization: making your agent sharper
25:08 - Installation and setup
27:38 - Connecting your agent to Telegram
30:36 - Configuring programmer with Claude Code
31:53 - Adding new skills (from a hub of ready-made skills)
34:59 - Going from 1 to 10 agent profiles
36:49 - Building a custom designer from scratch
40:42 - Anatomy of the .hermes folder (where everything lives)
45:05 - Skill taps: sharing skills via a GitHub repo
45:59 - Skill bundles: stacking skills for workflows
47:19 - Hermes Kanban (coming soon)
48:05 Outro

Cheers! :)

[Dan Go @CoachDanGo]

Bonus: The Downward Dog to Cobra

It improves posture, relieves back tension, opens the chest and shoulders, enhances flexibility, and promotes better circulation.

Due to its dynamic nature, this move strengthens and stretches the body.

[Elon Musk @elonmusk]

How to use Grok Build

[running man @trendtrade]

@_The_Prophet__ @realeagerbeaver Please check out $hgraf. Its has a legitimate 100x potential

[Jack Moses ∞ @jackmoses777]

https://t.co/g2ZCh8HF0U

[Scientific Bitcoin Institute @ScientificBTC]

Here is a great interactive chart of Bitcoin's power law. The website was created by an independent researcher and a member of our community. The current annual growth of the power law floor is 37%.
https://t.co/1nDbychKtR