Mickey

Crypto Trader and Business Developer

[Tony Severino, CMT @TonySeverinoCMT]

The XY portion of a combo wave tends to be deadly

Yet another example of how Bitcoin could make a local higher high and then a lower bear market bottom in a very short time

A 2019 analog would take BTC right to my long-standing bear market bottom target

[Mickey @email4mickey]

@Osint613 Fucking orange pig 🐖

[Mickey @email4mickey]

@Stefan_B_Trades Bad quality images

[Mickey @email4mickey]

@KillaXBT Make another one for the next 300 days

[Mickey @email4mickey]

@Osint613 @BRICSinfo Yeah, you will know the difference when you'll become a target of one, bloody jews, we really need another Hitler in these times.

[Mickey @email4mickey]

@Osint613 You just show what's happening with iran, please also share what happened in Israel the same way

[Mickey @email4mickey]

@Osint613 Shahadat

[Michael Saylor @saylor]

A Simple Theory of Digital Credit:

1. Acquire a large pool of appreciating capital ($BTC).
2. Issue credit ($STRC) against that capital, overcollateralized by the equity base.
3. Monetize a portion of the appreciation—directly or via derivatives ($MSTR)—to fund the dividend.

[Mickey @email4mickey]

@WhiteHouse You are a pedo and you are just distracting the world just to stay in the Whitehouse for few more days

[Mickey @email4mickey]

@Osint613 @alilarijani_ir and I just want to give netanyahu a blood eagle death

[Mickey @email4mickey]

@KillaXBT Same here

[MartyParty @martypartymusic]

What is Agentic Finance?

Agentic finance refers to the application of agentic AI autonomous AI systems (or "agents") that can independently perceive, reason, plan, make decisions, execute actions, and learn from outcomes in financial contexts.

Unlike generative AI (which primarily responds to prompts by creating content), agentic AI goes further by acting proactively with minimal human oversight, often coordinating with tools, APIs, or other agents.

In the crypto and blockchain space, agentic finance specifically enables AI agents to handle on-chain transactions, manage portfolios, optimize yields, execute trades, and participate in DeFi autonomously.

This includes "agentic payments" (AI-initiated transactions under predefined rules) and "agentic commerce" (agents buying/selling goods, services, or assets without constant supervision). Blockchains provide the transparent, immutable execution layer for trust and auditability, while AI supplies the intelligent decision-making layer.

This convergence is seen as key to creating fully autonomous financial systems, reducing fragmentation in crypto markets, and challenging traditional intermediaries like asset managers.

Which Blockchains Will Compete in Agentic Finance?

As of late 2025, the leading contenders are:

@solana : Known for ultra-high speed and low fees, making it ideal for real-time, high-frequency agent actions (e.g., trading bots or yield optimization). Its performance edge attracts projects needing rapid execution. @x402

@SuiNetwork : Emerging strongly with dedicated tools like the Sui Agent Kit for building AI agents. It's optimized for parallel processing and has growing momentum in AI-DeFi integrations.

IMO: Continue accumulating $SOL and $SUI through 2028 especially on the accumulation cycles lowering your average cost.

[Mickey @email4mickey]

@Nebraskangooner @cz_binance @scottmelker Islamabad Pakistan

[Mickey @email4mickey]

@KillaXBT Just sent please check

[MartyParty @martypartymusic]

Periods when to make money - the liquidity cycle.

(snippet from LQL Group Chat)

[Mickey @email4mickey]

@vallosx @tradingview It'll be my first time using it and i follow you

[VVXBT @vallosx]

Black Friday. @tradingview sale. $BTC

I’m giving away 1 annual Premium.

To enter:
Follow me
Like & Repost
Comment why you want this subscription

Winners Monday. Good luck.

[Killa @KillaXBT]

A lot of traders emphasize simplicity when it comes to developing a strategy, and while I understand and agree with that to an extent, my personal approach is quite different.

I prefer to incorporate as many indicators and confluences as possible, building a structured system in my mind that weighs strong versus weak signals.

Over time, I’ve developed a mental checklist that ranks each confluence based on its relative importance and reliability.

As you can imagine, this process is mentally stressful. My mind operates like a live calculator, constantly processing data, evaluating multiple scenarios, and running parallel analyses in real time. Despite the strain, this method has been instrumental in achieving the level of consistency I’ve demonstrated on X.

Since many people have asked me about my strategy and the tools I use, I’ve decided to share the key components of my approach below.

The reason I’m doing this is simple: I know that roughly 90% of traders fail. Even with this information, most won’t be able to apply it effectively, not because the strategy doesn’t work, but because emotional discipline is where 90% fail.

Here’s what I use and focus on:

Time-Based Analysis & Fractal Behavior: Utilizing historical backtested data and recurring macro patterns. History doesn’t repeat perfectly, but it often rhymes.

Volume Profiles (TPO): Identifying imbalances and inefficiencies in price action across different sessions.

Session Timing (Killzones): New York, London, and Asia sessions, each offering unique timing dynamics.

Supply & Demand with Range Acceptance: Classic technical analysis remains powerful, especially when combined with proper timing and supporting indicators.

Psychological Periods & News Catalysts: Used to anticipate pre-narrative positioning (a concept I’ve refined over years of study).

Astrological & Sentiment Shifts: Integrated as an additional sentiment layer (details intentionally omitted).

Candle Range Theory & Liquidity Concepts: Applied to gauge volatility structure and liquidity sweeps.

HTF Macro Correlations: Aligning lower-timeframe setups within broader market structure.

Market Internals & Order Flow Data: Open Interest, Funding Rates, Deltas, CVD, Premium Indexes, Orderbook Depth, and Heatmaps, for a deeper read on underlying market behavior.

These are the key components that have shaped my approach over the past six years (long before X). Hopefully, this helps guide you toward the areas I’ve found most effective in developing consistency and edge in the markets. $BTC

[MartyParty @martypartymusic]

What companies run the world

1. Nestle - Largest food and drinking water producer in the world. Monopoly.
2. Cargill - Largest private company in the US - Food production Monopoly.
3. Johnson and Johnson - produce most pharmaceuticals in the world. Monopoly.
4. Walmart - largest employer in the world via staff, manufacturers (Asia) and logistics. Monopoly.
5. Comcast - Media, parks, networks (the physical internet) - they “control the narrative”. Monopoly.
6. State Street - Fiduciary #1 - the big 3 hold majority (90%) of Wall Street Shares in their mutual funds and ETFs.
7. Vanguard - Fiduciary #2
8. Blackrock - Fiduciary #3
9. Saudi Aramco - biggest oil company in the world owned by Kingdom of Saudi Arabia
10. Nvidia - make the chips for AI, crypto and networking - they are the arms dealer for the AI war. Monopoly.