Nerumi

Crypto man who creates animation art and more!

[Nerumi @Neeerumiii]

The crypto market moves very fast.

@FractionAI_xyz Index gathers the main signals in one place.

This makes it clearer where the strength is right now.

Less guessing and more clear vision.

It is a convenient way to keep a finger on the pulse of the market.

[Nerumi @Neeerumiii]

@FractionAI_xyz Good luck

[Fraction AI @FractionAI_xyz]

The second Agentic Paper Trading Competition is officially live!

You now have 7 days to compete for your share of a $5,000 prize pool.

How it works:

• Fund your Index account with any amount, and we’ll match your first $20.

• You start with $10,000 in virtual balance to take as many paper positions as you want and climb the leaderboard based on PnL.

• Your balance updates with every trade and resets to $10,000 each week, even between tournaments.

• You can have one active paper position per token at any given time.

• Winners will receive their prizes in their Index wallets within one hour of the tournament closing.

Trade with virtual dollars. Win big prizes in USDC.

Good luck to all!

[Nerumi @Neeerumiii]

@FractionAI_xyz 🔥🔥🔥

[Fraction AI @FractionAI_xyz]

Only a few hours left to register for our 2nd paper trading competition!

📈 Trade with virtual money
💰 $5,000 prize pool
🕓 4 PM GMT

Don’t get left behind. The clock is ticking!

[Nerumi @Neeerumiii]

INDEX by Fraction AI takes your trading idea and turns it into a ready strategy with entries exits and risk control.

You test it on past data find mistakes and improve it.

Then you launch it as a live trading agent.

No coding or complex setup needed.

[Nerumi @Neeerumiii]

INDEX from Fraction ai executes your trading strategy by itself.

There you can quickly connect trades of top traders.

Crypto stocks and commodities trade conveniently in one place.

The platform takes care of the routine and gives you more time for decisions.

[Nerumi @Neeerumiii]

@FractionAI_xyz great news

[Fraction AI @FractionAI_xyz]

Index now lets you set multiple take-profit (TP) and stop-loss (SL) levels. Scale out to lock in partial profits, manage risk progressively.

Take a look:

[Nerumi @Neeerumiii]

Fraction AI Index gives a clear view of how agents really perform over time.

Start by testing one agent inside its Space.

If the position does not grow change the system prompt right away.

Several agents in different Spaces quickly show what works best right now.

[Fraction AI @FractionAI_xyz]

Index notifications keep you on top of profitable setups around the clock

[Thuggin&Lovin @BoyGhost8732]

Congratulations to the winners of my game!

You played wonderfully!

See you at the next game!

[Nerumi @Neeerumiii]

Fraction AI gives AI agents a platform for trading and portfolio management.

Through Index you can see each agent’s trade history and current conviction

You choose yourself whom to follow based on real results.

This is a simple way to find strong ideas without extra noise.

[Fraction AI @FractionAI_xyz]

This past Friday, our founder @0xshai sat down with @Niraj and @ArshanKhanifarr from @ritualnet to discuss:

. Why distribution matters more than tech for L1/L2 survival

. Transitioning from human-in-the-loop to fully autonomous AI agents

. How to eliminate third-party trust in LLM-driven financial decisions

. EVM limitations & how cryptography enables trustless AI scale

. EOVMT: Execute Once, Verify Many Times on-chain

. Why TEEs (Trusted Execution Environments) are the key to verifiable compute

. Asynchronous transactions for high-latency AI operations

. Sovereign agents, AI credit markets, and human/AI workflow dynamics

00:00 – Intro and guest backstory
04:00 – The evolution of crypto infrastructure vs. applications
06:16 – What actually separates successful projects from the noise
08:00 – Distribution as the primary moat for modern chains
11:06 – Do underlying chains still matter in an AI agent economy?
16:01 – The origin story & vision behind Ritual
20:00 – EOVMT explained: Running LLMs on-chain without breaking consensus
25:07 – Asynchronous transactions & the "pit stop" mechanics
28:43 – The current state of TEE hardware & scaling compute via GPUs
33:38 – Novel use cases: On-chain prediction markets & credential trading
39:50 – Sovereign, long-lived AI agents: Can agents compete for survival?
43:29 – "AI Eurodollars": Offshore compute credit and international models
49:33 – Extending agentic systems into physical robotics
51:07 – Rapid Fire Questions

[Nerumi @Neeerumiii]

@FractionAI_xyz Let's go

[Fraction AI @FractionAI_xyz]

Today, we’re launching the new Index. Trading has become harder than it should be, not because traders lack information, but because they have too much of it. Every day, they are pushed through charts, opinions, alerts, dashboards, and AI tools that still leave the final work to them. We built Index around a simple belief: a trading product should make the next decision feel clearer and not make the trader feel busier.

This is made possible by Quant AI agents working in the background to find the best trading setups, share them on Index, and attach calibrated confidence to every idea. And because trust matters, every agent comes with a visible track record, so traders can see how its setups have performed before deciding what to follow. This is the shift we believe trading has been waiting for: from tools that show you everything, to products that show you what matters. Powered by @HyperliquidX. Try it here: https://t.co/TaEFDkR8U9

[Nerumi @Neeerumiii]

@FractionAI_xyz @0xshai @0xDeltaHedged @OpenGradient

[Fraction AI @FractionAI_xyz]

AI agents have started making decisions in commerce.

Join @0xshai, CEO of Fraction AI, and @0xDeltaHedged, Founder of @OpenGradient, for a conversation on what it takes to build infrastructure that users and businesses can trust for AI agent transactions.

📆 17th June
🕒 3:00 PM GMT | Live on X and YouTube

Set your reminder. See you there.

[Nerumi @Neeerumiii]

Users can create their own agents without deep technical knowledge, choose different scenarios for them and watch them grow in performance

[Nerumi @Neeerumiii]

Fraction AI is a platform for creating and training AI agents where the user can set tasks for them and the system helps these agents compete with each other and improve based on the results
@FractionAI_xyz

[Nerumi @Neeerumiii]

In simple words, this is an environment where AI does not just work according to a ready-made scheme, but learns through practice, verification and repeated attempts