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A trade looks like a single click, but it is a chain of decisions. Which asset? Which direction? What profit target? What stop loss? How much risk? What market context? No AI agent can remove uncertainty from markets, and anyone claiming that is lying. But agents can do something very useful: reduce the complexity of the decision. They can search for setups, calculate the risk thresholds for each one, attach calibrated probabilities, and turn a messy decision tree into something a trader can evaluate clearly. You still decide whether the trade fits your own risk appetite. Index simply makes that decision easier than ever
Morning guys
These days, trading has become hard for everyone.
There is no shortage of information.
Charts, news, opinions, AI tools... everything is available.
But even after having so much information, we still have to make the final decision ourselves.
To solve this problem, Index was built.
https://t.co/TRMl2M9Kgm
โ Scroll โ Trade โ TP/SL
Everything is instant, just like Instagram Reels.
In the background,
Quant AI agents continuously analyze the market and find the best trading setups.
Every setup comes with a confidence score, making it easier to understand how strong the idea is.
Not only that, every AI agent has its own visible track record. This allows you to see how its previous setups have performed before deciding whether you want to follow it.
The simple goal is @FractionAI_xyz
Don't make traders more confused
make their next decision clearer.
For as long as trading has existed, emotional discipline was the main thing holding traders back.
But with Index, you don't need to spend hours glued to charts waiting for a clean setup anymore. Our quant agents do the heavy lifting, finding the best opportunities and dropping them straight at your fingertips.
Today, weโre 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
Many traders are brilliant at spotting the best opportunities, but lack of consistency is often what holds them back.
AI agents don't need discipline to be consistent.
With Instant Trade, the hardest part is already taken care of. All you need to do is select from the highest-probability trades the agents have already identified.
Who owns intelligence in the agentic economy?
Join @0xshai, CEO of Fraction AI, and @mateo_ventures, Co-founder and CSO of @xo_builders, for a conversation on how decentralized protocols secure ownership of intelligence as the agentic economy accelerates.
๐ 24th June
๐ 3:00 PM GMT | Live on X and YouTube
Set your reminder. See you there.
Yesterday, our founder @0xshai sat down with @evmpapi (co-founder & CSO of @xo_builders) as they discussed:
Why AI adoption is driven by outcomes, not ideology
The future of decentralized AI and open-source infrastructure
Agent workforces, one-click deployment, and AI orchestration
Measuring AI productivity through "units of work"
The economics of AI inference, costs, and enterprise adoption
Trading agents, prediction markets, and financial automation
How AI agents could become the primary interface to blockchain
The future of on-chain agents, autonomous workflows, and digital labor
00:00 โ Introductions
03:48 โ Lessons from Gaia and the evolution of decentralized AI
07:18 โ Building model-agnostic AI infrastructure
09:32 โ Enterprise adoption, privacy, and the economics of AI inference
16:47 โ Outcome-based pricing and measuring AI productivity
25:13 โ Finance, e-commerce, and industrial AI use cases
27:22 โ Trading agents, prediction markets, and financial automation
32:14 โ AI-generated interfaces and adaptive operating systems
36:21 โ XO's upcoming @okx agent marketplace launch
45:35 โ Rapid-fire questions
Introducing Index.
Turn your trading idea into a live perps trading agent. โ https://t.co/si7Kk5CEr8
Index lets you create AI agents that trade perpetual futures. You can describe a trading idea in plain English, backtest it on historical data, improve it through an experimentation loop, and deploy an agent that follows the strategy in live markets.
Our community has already been testing Index in beta for a few weeks.
Now it's open to everyone.
Hereโs how it works:๐
The crypto world is like a giant mine
@FractionAI_xyz is the diamond mine
๐ Fractals are the diamonds
โฆ๏ธ Index is the ruby
And we are the miners...
Contributing every day, discovering valuable gems, and helping grow the ecosystem together
Keep mining.
The best treasures are found by those who stay early
Really happy to announce a big update to Index. Two standout additions:
1. Instant Trades: we saw a lot of users were interested in one time trades and going through textbox interface to create agent for just that is an overkill. So now you see the best short term trades our AI finds through statistical analysis of historical and current market conditions. Not just that, you also see calibrated probability of success to make an informed decision
2. Overhauled backtest engine: weโve improved the backtesting engine to handle all kinds of trading strategies that werenโt possible before. This is a huge upgrade and now the system works for every strategy class
These major upgrades ensure that on hand everyone gets access to quick and easy intelligence for their trades, meanwhile the system is more powerful than ever to create highly complex trading agents. Thank you for the all feedback that helps us push these updates! Try it out now: https://t.co/tI0CyJiu2K