Khalil

Founder @EclipticaOS - The Adaptive Financial & Intelligence Layer

Ex-BD/LP @everclearorg (Prev. Connext)

[Khalil @A_Keyboard]

Back in February, I started sketching out something new.

It was post hype, post wreckage. Most AI coins were down 80 to 90%, especially on Solana. You could feel it the air was out, but the demand wasn’t dead. There was real demand, just bad implementation. Half-finished “AI trading” ideas rushed out during the @Pumpfun run.

Launching coins became more important than building product. But I didn’t see it as narrative that will last a few weeks and die. I saw a gap.

What if we stopped chasing the next hype meta and actually designed something useful? For traders. With traders. Built for edge.

So I spent the next few months building. Not another DEX, not another bot, not a recycled alert group. A different kind of system.

I partnered with @rei_labs and @laevitas1 to bring it to life.

It’s called @EclipticaOS Strata. The first adaptive financial intelligence layer for crypto perps and options.

Strata is designed to evolve with you. It reads funding, OI, perp structure, volume pressure in real-time. It remembers your trading style, whether you're a scalper, momentum hunter, mean reversion trader, or position builder; it adjusts to match it. It gets smarter the more you use it.

And it solves the biggest problem most traders face:

Blind spots

The ones that kill alpha. Aping into high funding. Ignoring BTC regime shifts. Missing early signs on coins that aren’t trending on X or telegram, Strata spots structure before sentiment catches up.

A perfect example: $ZEC

While everyone clowned dino coins on CT, Strata started quietly flagging $ZEC at $57. Clean OI build, organic flow, bullish imbalance. It flagged it every day for a week straight. No noise, just structure.

https://t.co/hI65YJ4EG1

ZEC hit a peak of $730.

Same pattern played out on DASH and ZEN. Quiet signals, big moves. 2x to 5x before they even entered the narrative. Even the big cycle moves NEAR, AR, ICP, FIL, Strata saw the rotation before it hit feeds.

https://t.co/RLt6mm5bTj

This is what we mean by trading ahead of sentiment.

We’re not another perp DEX fighting for order flow. We’re building the infrastructure layer on top, the one that understands when, where, and why the market is shifting. That helps you act before the crowd reacts.

If you’re curious to try it, the Telegram bot is live. Access is free during the launch window - https://t.co/vqVB3bOid5

What’s been most exciting is seeing early users printing with it. A few screenshots I’ve seen say it best. The product is finally starting to resonate with real traders.

Feels like we found PMF in one of the most saturated verticals in crypto.Not because we built something louder. But because we built something smarter.

Special thanks to the early beta users and the Team @rei_labs & @laevitas1

Much more to come!

[AJP @ajp_digital]

Perp traders are printing with @EclipticaOS on @HyperliquidX and @Lighter_xyz

Markets whispers, Ecliptica listens - powered by @rei_labs cognitive core

It’s currently free for early users - points system is active

Join: https://t.co/If2IBNSBRT

[Khalil @A_Keyboard]

@lmrankhan That's what we have been build with @EclipticaOS , no chatbot or bunch of text, all visuals with cool UX/UI https://t.co/Ny56JLeHIr

[Ecliptica @EclipticaOS]

Options are powerful. Options are also confusing as hell.

Greeks, IV, term structure, skew, theta decay — most people give up before they even start.

We just made it easier.

Options Co-Pilot is live. Executes on @DeriveXYZ

[Khalil @A_Keyboard]

@__bleeker @fomo comes*

[Khalil @A_Keyboard]

I would say the greatest trader in CT is @__bleeker and no one come close to him for now.

Others are shilling you shitters in @fomo or Solana

[Khalil @A_Keyboard]

@hellojintao Every time @blknoiz06 tweets about a stock it just nukes, he just did it with $SOLS twice now lol

[Khalil @A_Keyboard]

There is no edge on making AI profitable and accessible to the public

A lot of companies focusing on serving retails and promising profitable AI will be cooked in the future

[Robinhood @RobinhoodApp]

Your strategy shouldn't sleep just because you do.

Connect your AI agent to a Robinhood Agentic Account to explore trade ideas, build and rebalance portfolios, program custom tools, and place trades as your strategy evolves.

Rolling out now.

Learn more: https://t.co/Vs3yjWkjTN

[Ecliptica @EclipticaOS]

Performance check on the Ecliptica IBKR research and equity pilot. These are the names the stack flagged and the moves they made.

[Ecliptica @EclipticaOS]

We’ve started a live pilot with selected funds for fully autonomous AI fund management on @IBKR, powered by REI 0.5a.

The system is not just generating ideas. It is handling research, portfolio decisions, currency conversion, and cross-market execution across opportunities including Japanese and Taiwanese semiconductor names.

Still in active testing, but this is one of the biggest milestones we’ve hit at @EclipticaOS.

[Khalil @A_Keyboard]

@citrini @aleabitoreddit Average stocks charts

[Khalil @A_Keyboard]

There is no reason or incentive anymore to put any money into Crypto at all. DeFi is useless if they offer 2-4% yield, while stocks are going up 10-50% every month.

In Crypto, you will get rekt by hacks, bundled Solana/Base scams, VCs/MMs/CEXs using you as an exit liquidity...

[Khalil @A_Keyboard]

I can go back to every shilled stocks the past few months by @citrini or @aleabitoreddit, All up and still going up.

While every CT KOL, their recommendation or shills are down by 50-99%

[Ecliptica @EclipticaOS]

REI Core 0.5a by @rei_labs is live on Ecliptica. Every unit on Strata and Nebulyst, every inference through the agentic API, runs on 0.5a now.

[Khalil @A_Keyboard]

Why do @citrini's analysts shill Korean stocks and other stocks like SDNK/MU, but in his citrini dashboard, I don't see him allocated in those ? maybe I'm blind

[Rei @rei_labs]

Core 0.5a - Patch Notes

0.5a, opening update of the 0.5 series, is now live on Rei Chat as well as our agentic API. Creating new units is advised as it is the only way for 0.5a to take full effect.

PATCH NOTES

0.5a's main focus area is how units learn. faster intake, better retention, and more from every interaction. every change in this update touches some part of how a unit processes what it's given, how it holds onto what matters, and how it builds on what it already knows.

Expect brief interruptions over the next 72h as we complete migration and roll out minor updates.

Unit-Level Evolution

• Evolution moved from system level to unit level

Genetic algorithm evolution has moved from system level to unit level. Previously, evolutionary pressure operated globally, with competing inference strategies evolving as a shared population. In 0.5a, the specimens at the basis of evolution are defined by each unit's own relationship and concept exploration parameters. Selection, mutation, and crossover now run against how individual units traverse their hypergraphs, form patterns, and abstract concepts.

Two units starting from the same configuration will develop increasingly distinct reasoning behaviors over time, not just because their knowledge differs, but because the parameters governing how they discover and reinforce that knowledge are themselves evolving independently.

Resilient Hybrid Recall

• Semantic recall combined with hypergraph-aware retrieval
• Faster access to relevant knowledge with better structural context + hypertags
• Better recovery of entities, relationships, and concepts

Core 0.5a introduces a unified recall layer that combines semantic similarity with hypergraph structure. Knowledge that has faded from direct semantic reach can still be surfaced through relationship paths, entity linkage, and hypertags. This gives the system structural redundancy in recall without fighting the decay mechanism. Knowledge is still allowed to fade as designed, but the paths to reach it are no longer dependent on a single retrieval method. Recall has improved significantly as a result.

Asynchronous Hypergraph Enrichment

• Immediate knowledge availability on write
• Background extraction of entities and relationships
• Richer knowledge structure without adding interaction latency

New knowledge is available immediately, while deeper entity and relationship extraction happens in the background. This keeps writes fast while still allowing knowledge structure to become more detailed over time.

Modular Core Services

• Clearer separation between knowledge, recall, traversal, exploration and routing
• More defined internal service boundaries
• Modular framework for future updates

0.5a moves Core toward a more modular structure, with dedicated layers handling different parts of the system. This improves maintainability, reduces fragility, and makes the platform easier to extend.

Adaptive Context Processing

• Condensation of long-form content before deeper extraction
• Better retention of important details during heavier workloads
• More efficient handling of large or dense inputs

Longer inputs are no longer processed as-is. Core condenses dense content before deeper extraction, preserving key facts and relationships while reducing noise. This keeps recall efficient under heavier workloads and prevents important details from being diluted by volume.

Knowledge Persistence

• Better handling of entities, relations, and knowledge linkage
• More stable hypergraph interpretation in live operation
• Cleaner storage and integration of new facts into existing structure

Where Resilient Hybrid Recall addresses how knowledge is found, this addresses how it's stored and linked. Core now handles entity formation, relation mapping, and structural integration with more consistency, which gives the recall layer stronger material to work with in the first place.

Stronger Runtime Reliability

• Cleaner local-first service behavior
• More predictable execution paths
• Better stability during live end-to-end use

A major part of 0.5a is reliability. Service behavior is more predictable, local execution is cleaner, and the system is more stable under real usage.

System Maturity

• End-to-end validation of store, list, query, and clear flows
• Verified delayed enrichment behavior under live conditions
•Greater confidence in recall quality outside isolated tests

0.5a's notes is the last set of release notes in this format. as closed beta wraps up, so does this style of patch notes, making way for a different format that better fits what comes next. to everyone who's been part of closed beta, thank you.

Disclaimer: 0.5a is exclusively accessible via Rei Chat and our agentic API. Rei Chat/Rei Chat API are user-friendly, OpenAI compliant interfaces for interacting with parts of our architecture. units start as blank slates and are designed to become domain experts through training. they are learning systems, mistakes are possible and normal, the user's role is to train their unit at inference.

[Khalil @A_Keyboard]

yooo @tradexyz plz new MM, what is this?

[Khalil @A_Keyboard]

https://t.co/Fzw8wMLnKA

[Khalil @A_Keyboard]

@infinitybanyan @DeriveXYZ Gotcha!

[Ecliptica @EclipticaOS]

$100k+ now under AI management across equity and crypto. Deployed by a handful of users who are training their own agents.

Pick from nearly every data source available, No CLI, no servers.

Just deploy and shape how it trades.

[Ecliptica @EclipticaOS]

Market ranging? Iron condors are printing.

An iron condor profits when price stays within a range. You sell options on both sides, collect premium upfront, and win as long as price doesn't break out.

Used to be a strategy only pros could execute. Now it's one click on Ecliptica. AI picks the strikes, builds the structure, manages the position.

Collecting premium on @DeriveXYZ while ETH chops.