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Introducing Index. Turn your trading idea into a live perps trading agent. → 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...

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Fraction AI

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64,482 görüntüleme • 3 ay önce •via X (Twitter)

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We’re launching Volrix. An MCP server that lets you backtest and research trading ideas directly from Claude and Chatgpt. Connect your AI agent, describe a strategy, and run backtests across index and commodity derivatives. Link in the comments, Try it for free!
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We’re launching Volrix. An MCP server that lets you backtest and research trading ideas directly from Claude and Chatgpt. Connect your AI agent, describe a strategy, and run backtests across index and commodity derivatives. Link in the comments, Try it for free!

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I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.
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I Created a 520% Trading Strategy With One Prompt I have been testing the just-released “Index” product by Fraction AI. This is basically the “ChatGPT for trading,” where you can: > explain your trading strategy in one prompt > let agents create it for you > backtest it with real market data With one prompt, I was able to create a trading strategy that returned 520% APY with a 93% win rate. The prompt is in the video, but basically, it is long $BTC and $HYPE while shorting $SOL. Impressive how easy it is today to create and backtest incredibly profitable trading strategies. Extra note: the free version is already very powerful. I do NOT have the premium account.

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Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human. Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen. That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested. The edge was never a smarter idea. It was volume. They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live. Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents. One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange. The $150 billion setup. Free while beta open. Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.

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Trading idea: Easy. Execution: Nearly impossible. You can't track every indicator and time every potential trade. So we spent 5 years building an AI to help do it for you. Just describe your strategy in plain English. It helps you do the rest.

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If you’re trading without AI, you’re someone else’s edge This is the first agent that turns plain-English ideas into backtested strategies running live at your broker Open to the first 10,000 traders → Here’s how it works:
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Ken Griffin, CEO of Citadel, said: "I'm fairly depressed watching AI do a week of PhD work in a few hours" He's worth $51.2 billion and 20% of every stock trade in America goes through his firm. The money isn't what's bothering him. Citadel pays $400,000 to $650,000 a year for that work. New trading AI agent does it now, on a free trial, for people who have never written a line of code. It went live this summer and most of your timeline still hasn't noticed. You type one sentence in plain English. AI agents loop takes it from there: > an AI agent turns your sentence into a real trading strategy > backtests it across 5 years of data in about 12 seconds > scores it 0 to 100 and shows you the exact spot where it leaks > kills the versions that only look good on paper > rebuilds what's left and runs the loop again > stress-tests the survivor on years it has never seen, then puts it live on your exchange in about 90 seconds That list is the entire job description of a junior quant. At a desk, one properly tested idea burns about $87,500 in salary time, and most of what they build is dead by week six. Two clicks and this AI agent is testing your own idea. Costs you nothing and it runs the whole thing by itself: Griffin gets to be depressed about it. He already owns the desk. You just got handed one. Bookmark & read full story of how they got an AI to build trading strategies and kill its own bad ones is in the article below.

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Meet Zella. Your AI trading partner 🪄 With 24/7 AI agents that journal for you, tag every trade, backtest every strategy, and more — automatically. It's not just a chatbox. It's not just a journal. It's trained on you & gets even smarter as you use it. Now live 👇

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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 Hyperliquid. Try it here:

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Sam Altman says AI will soon let anyone create software just by describing it in plain English anyone with an idea can describe it, and AI will build, debug, and deploy it for you "if you have a great idea, AI will make it happen for you"

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We recently launched Generated Assets, which lets you turn any idea into an investable index with AI. One of the coolest parts is the “evaluation swarm”—thousands of agentic evaluators screening thousands of stocks in parallel based on your thesis. Here’s how it works.

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What if you and your agent had all the data that always stays fresh? Structured, on demand, never stale. Introducing BigSet. Describe the data you need in plain English → get a structured dataset built from the live web, that refreshes regularly. It's live and open-source.

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I've been working on something dear to me for a while after a pitch review session with Nzube Ezudo, still in progress and I'd like to share that in public here. Gildore Arena is an agentic trading Arena. We help traders replace blind trust with visible, competitive, machine-disciplined trading performance. Right now, we do this by turning live trading strategies into transparent AI agents that users can inspect, compare, predict, and eventually copy trade/subscribe to the agent. it is now safe to `Fire Your Fund Manager`. it's fundraising on BAGS

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14,230 görüntüleme • 2 ay önce

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->
0:48

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

cvxv666

81,854 görüntüleme • 15 gün önce

D0 is now public. For the past year, we have been building toward one idea: the next trading agent is not passive. It watches, reasons, and acts. While you sleep, D0 is cross-referencing funding rates, whale movements, CEX depth, and on-chain flows before it ever pings you. Today, D0 is open to everyone. A proactive AI trading agent for spot, swaps, perps, Hyperliquid, and Polymarket. Commodities, & US equities, all in one account. Built for markets that never stop moving. Claim your free trial at Enter D0.
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D0 is now public. For the past year, we have been building toward one idea: the next trading agent is not passive. It watches, reasons, and acts. While you sleep, D0 is cross-referencing funding rates, whale movements, CEX depth, and on-chain flows before it ever pings you. Today, D0 is open to everyone. A proactive AI trading agent for spot, swaps, perps, Hyperliquid, and Polymarket. Commodities, & US equities, all in one account. Built for markets that never stop moving. Claim your free trial at Enter D0.

Donut

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This isn’t a fake “AI trading” demo or a Polymarket bot. I asked our OpenClaw AI agent for a EUR/USD trade idea. It analyzed the market, I approved the trade, and it executed live on a real XBTFX MT5 account.
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This isn’t a fake “AI trading” demo or a Polymarket bot. I asked our OpenClaw AI agent for a EUR/USD trade idea. It analyzed the market, I approved the trade, and it executed live on a real XBTFX MT5 account.

XBTFX

21,869 görüntüleme • 3 ay önce

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.
0:41

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.

cvxv666

170,870 görüntüleme • 10 gün önce