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Automated Backtesting is LIVE on TradeZella 🔥 Type your strategy in plain English. TradeZella tests it across 11+ years of real market data. No code. No Pine Script. No more bar-by-bar grind. Get a full performance report, every trade drawn on the chart, and Zella AI telling you what... show more

TradeZella 🦄

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23,648 Aufrufe • vor 27 Tagen •via X (Twitter)

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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 👇

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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Quant funds don’t go live after a lucky streak. They go live after their strategy survives thousands of simulations. You? You probably went live after 2–3 green trades in a row. That’s not a discipline issue. That’s an access issue. Before a single dollar touches the market, real quant desks run: → Multi-asset robustness checks across timeframes → Monte Carlo simulations across thousands of market conditions → Stress tests to expose exactly where the strategy breaks This used to require $25K/year terminals and entire research teams. Now it doesn’t. Horizon put that entire workflow into a single chat interface. Describe your strategy in plain English. It builds it. Tests it. Breaks it. Shows you where it survives — and where it doesn’t. Before you ever go live. The edge was never intelligence. It was access. Now you have it. 👇 Join early. Get on the waitlist. Stay ahead. Save this.

Quant funds don’t go live after a lucky streak. They go live after their strategy survives thousands of simulations. You? You probably went live after 2–3 green trades in a row. That’s not a discipline issue. That’s an access issue. Before a single dollar touches the market, real quant desks run: → Multi-asset robustness checks across timeframes → Monte Carlo simulations across thousands of market conditions → Stress tests to expose exactly where the strategy breaks This used to require $25K/year terminals and entire research teams. Now it doesn’t. Horizon put that entire workflow into a single chat interface. Describe your strategy in plain English. It builds it. Tests it. Breaks it. Shows you where it survives — and where it doesn’t. Before you ever go live. The edge was never intelligence. It was access. Now you have it. 👇 Join early. Get on the waitlist. Stay ahead. Save this.

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Texture generation is now live on Customuse Describe any texture you want → get it instantly on your 3D model. No more searching through libraries. No more settling. Just type and get the perfect texture in seconds.

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New brand identity launch! 🔥 Super stoked to join everyone with stunning launches this week. Today we’re launching the brand identity for the amazing Obside — AI Trading Copilot team! Obside turns your trading ideas into live market signals, in plain text. No code. No complexity. Just type your strategy and let AI do the rest. 🖤

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HORIZON V0.3 JUST HANDED RETAIL TRADERS THE EXACT TOOLS THAT USED TO COST A QUANT $400,000 A YEAR Backtest one strategy across BTC, ETH and SOL in a single run. Scale out in pieces with partial exits. Then deploy it live on Hyperliquid, the biggest perp DEX on the planet, running 24/7 with no broker and no KYC. Type an idea in plain English, test it across every asset in seconds, run it live while you sleep.

HORIZON V0.3 JUST HANDED RETAIL TRADERS THE EXACT TOOLS THAT USED TO COST A QUANT $400,000 A YEAR Backtest one strategy across BTC, ETH and SOL in a single run. Scale out in pieces with partial exits. Then deploy it live on Hyperliquid, the biggest perp DEX on the planet, running 24/7 with no broker and no KYC. Type an idea in plain English, test it across every asset in seconds, run it live while you sleep.

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Welcome Agentforce Coworker. 🤝 Your new AI teammate is now inside every Salesforce search bar. It doesn’t just find things — it works with you. Agentforce now instantly taps into your CRM data, workflows, customer history, opportunities, and cases… then takes action in real-time. ❌ No copy/paste ❌ No tab hunting ❌ No context switching Just ask. Act. Close faster. 🔥 Plus, build custom agents that run natively in Slack, Teams, and mobile. Available today for every Agentforce customer. We went from internal dog fooding to your hands in record time. The pace at Salesforce is absolutely WILD right now ⚡️Be a Trailblazer — turn yours on today! 👇

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Agentic trading is now live on Gemini 🤖 Connect your AI model of choice directly to the exchange, train it with plain language, and run your own trading systems directly on the exchange Built to get you trading in minutes

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Gemini

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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.

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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Your trading strategy didn't break. The market it was built for quietly stopped existing. Read that twice. It's most of why 89% of retail finished 2025 in the red. There's now an app that does the entire job of a $400,000 quant. You type a trading idea in plain English. It writes the code, backtests 5 years in 12 seconds, runs thousands of simulations, and tells you cold whether your edge is dead or the regime just changed. No code. No Python. No $25,000 terminal. 20,000 already inside. Waitlist stops at 25,000: That distinction is the whole game, and you never had a way to see it. Every strategy is a bet that one thing stays true. Momentum bets trends continue. Mean reversion bets ranges hold. When the regime flips, the assumption dies and your strategy bleeds with nothing wrong in the code. You stare at the logic for a month and never find the bug, because there isn't one. So you delete it, or refit it to the last drawdown and build something that would have survived the pain you already felt and nothing coming next. The desks never had that problem. 92% of institutional volume is automated. Only 45% of retail is. They test 100 strategies for every 1 you test by hand, and kill 97 of them on purpose, because they can tell a dead edge from a normal drawdown. Now that exact loop costs $0. One hypothesis used to cost a fund $87,500 to test. With Horizon you get unlimited, in seconds, and a winner deploys live in 90 seconds and runs without your hands on it.

Your trading strategy didn't break. The market it was built for quietly stopped existing. Read that twice. It's most of why 89% of retail finished 2025 in the red. There's now an app that does the entire job of a $400,000 quant. You type a trading idea in plain English. It writes the code, backtests 5 years in 12 seconds, runs thousands of simulations, and tells you cold whether your edge is dead or the regime just changed. No code. No Python. No $25,000 terminal. 20,000 already inside. Waitlist stops at 25,000: That distinction is the whole game, and you never had a way to see it. Every strategy is a bet that one thing stays true. Momentum bets trends continue. Mean reversion bets ranges hold. When the regime flips, the assumption dies and your strategy bleeds with nothing wrong in the code. You stare at the logic for a month and never find the bug, because there isn't one. So you delete it, or refit it to the last drawdown and build something that would have survived the pain you already felt and nothing coming next. The desks never had that problem. 92% of institutional volume is automated. Only 45% of retail is. They test 100 strategies for every 1 you test by hand, and kill 97 of them on purpose, because they can tell a dead edge from a normal drawdown. Now that exact loop costs $0. One hypothesis used to cost a fund $87,500 to test. With Horizon you get unlimited, in seconds, and a winner deploys live in 90 seconds and runs without your hands on it.

cvxv666

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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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