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Today, we’re launching Quant Data Futures, with a free 30-day trial. After 6+ years of delivering options data to thousands of traders, we’re expanding into Futures with real-time CME Level 3 data. • Depth Map: resting liquidity over time, with volume bubbles for large trades and sweeps • Footprint:...

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Andrew Hiesinger

61,880 subscribers

94,295 次观看 • 1 天前 •via X (Twitter)

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PANCAKESWAP HITS $4 TRILLION TOTAL VOLUME Leading DEX and DeFi platform PancakeSwap has reached an eye-watering $4 trillion in lifetime trading volume. According to DefiLlama data, $CAKE is the world's second largest DEX by way of activity, with a 30-day volume of more than $25 billion. At time of writing, it boasts a TVL of around $2.15 billion.
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PANCAKESWAP HITS $4 TRILLION TOTAL VOLUME Leading DEX and DeFi platform PancakeSwap has reached an eye-watering $4 trillion in lifetime trading volume. According to DefiLlama data, $CAKE is the world's second largest DEX by way of activity, with a 30-day volume of more than $25 billion. At time of writing, it boasts a TVL of around $2.15 billion.

BSCN

19,088 次观看 • 5 个月前

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.
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Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Robinhood

24,543 次观看 • 1 年前

What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠
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What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠

Alaoui Capital

34,908 次观看 • 1 年前

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain
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Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

HYPE3.cool

17,700 次观看 • 1 年前

Aim for the stars with Pyth Data 💫 Vega Protocol enables anyone to create and trade derivatives products like dated futures or perpetual markets on a fully decentralized network. Learn more about our integration below: ℹ️ About Vega With Vega, everything from the order book to market creation and maintenance, liquidity provision, prices, management of margin, and how that position eventually settles happen on chain as part of the Vega network—all of it is managed and governed by the community Interacting with Vega is gasless, and uses a different fee structure that charges fees from trades continuously. Vega offers sub-second latency together with circuit breakers and auctions in low liquidity regimes to discover true market prices for assets. Additionally, Vega's cross-margining and portfolio risk evaluation innovations significantly lower capital costs opening up hedging instruments to a far greater range of people. 🔮 Reach the stars with Pyth Data Vega requires an oracle to provide an asset price to settle a market or to terminate trading at a market's expiry, with millions in trading already processed, it is paramount for Vega to access up-to-date and accurate price data. Vega perpetual markets already support main crypto assets like $BTC, $ETH, $INJ, $SNX, and $LDO.
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Aim for the stars with Pyth Data 💫 Vega Protocol enables anyone to create and trade derivatives products like dated futures or perpetual markets on a fully decentralized network. Learn more about our integration below: ℹ️ About Vega With Vega, everything from the order book to market creation and maintenance, liquidity provision, prices, management of margin, and how that position eventually settles happen on chain as part of the Vega network—all of it is managed and governed by the community Interacting with Vega is gasless, and uses a different fee structure that charges fees from trades continuously. Vega offers sub-second latency together with circuit breakers and auctions in low liquidity regimes to discover true market prices for assets. Additionally, Vega's cross-margining and portfolio risk evaluation innovations significantly lower capital costs opening up hedging instruments to a far greater range of people. 🔮 Reach the stars with Pyth Data Vega requires an oracle to provide an asset price to settle a market or to terminate trading at a market's expiry, with millions in trading already processed, it is paramount for Vega to access up-to-date and accurate price data. Vega perpetual markets already support main crypto assets like $BTC, $ETH, $INJ, $SNX, and $LDO.

Pyth Network 🔮

25,764 次观看 • 2 年前

The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷
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The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷

Injective 🥷

116,813 次观看 • 10 个月前

The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.
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The Dawn of a New Era on $SUI (9) Still in the festive spirit, let’s look at Tusky , Tusky is a storage service that's not controlled by one company. It uses something called WalrusProtocol to keep your data safe. Your data is encrypted from start to finish, so only you can see it. Instead of one place, your data goes to many different spots. This setup makes your data less likely to be lost or stolen. It helps keep your information safe and always available. Tusky gives you control over your files. You can easily manage them with the tools provided. You decide who gets to see your data. This makes it great for personal storage or working with others. It works with SuiNetwork for even more privacy. You can log in without sharing personal info, keeping everything more secure. This means only you can get to your data, with no third party involved. It is growing fast, with 100,000 uploads already. This indicates its increasing acceptance in the tech community focused on data sovereignty. It's good at managing lots of data safely. In tech, where you want to own your data, TuskyTools is popular. It gives users control over their information. This platform helps keep your data secure and gives you freedom.

Kaboom.sui🪖

19,698 次观看 • 1 年前

Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.
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Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.

cvxv666

2,439,040 次观看 • 6 个月前

Made $100K+ by building a simulation that predicts SPX price movements before they happen. Fed 40+ years of SPX trading history into MiroFish (18k GitHub stars) and let AI reverse engineer every pattern. Now runs dozens of profitable trades. I have the exact step-by-step guide to build your own SPX prediction system. Giving it free for 24 hours. To get it: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so I can DM you) What you will learn: ✅ How to pull live SPX data with Alpha Vantage and Quandl ✅ Building a Python data pipeline that runs 24/7 ✅ Feature engineering (RSI, MACD, custom signals) ✅ Loading historical data into MiroFish simulator ✅ Multi-agent setup (macro strategist, earnings analyst, sentiment analyst) ✅ Running probability forecasts across market scenarios ✅ Trading logic for ES futures and SPY ETF ✅ Backtesting your model on real market history This is not prediction. This is loading decades of market data and letting AI find the patterns humans missed. Most traders guess. This system runs simulations. Comment "Money" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.
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Made $100K+ by building a simulation that predicts SPX price movements before they happen. Fed 40+ years of SPX trading history into MiroFish (18k GitHub stars) and let AI reverse engineer every pattern. Now runs dozens of profitable trades. I have the exact step-by-step guide to build your own SPX prediction system. Giving it free for 24 hours. To get it: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so I can DM you) What you will learn: ✅ How to pull live SPX data with Alpha Vantage and Quandl ✅ Building a Python data pipeline that runs 24/7 ✅ Feature engineering (RSI, MACD, custom signals) ✅ Loading historical data into MiroFish simulator ✅ Multi-agent setup (macro strategist, earnings analyst, sentiment analyst) ✅ Running probability forecasts across market scenarios ✅ Trading logic for ES futures and SPY ETF ✅ Backtesting your model on real market history This is not prediction. This is loading decades of market data and letting AI find the patterns humans missed. Most traders guess. This system runs simulations. Comment "Money" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.

Himanshu Kumar

76,385 次观看 • 6 个月前

🚀 Free High Quality Satellite Imagery With Playback Today, we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac App
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🚀 Free High Quality Satellite Imagery With Playback Today, we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac App

WeatherWise.app

31,289 次观看 • 1 年前

How you can build a Polymarket BTC trading engine with Claude to $1000/day print > RSI (context) + MACD (momentum) + Stochastic (timing) + EMA (structure) + OBV (confirmation) + VWAP (value) + Volatility (filter) = a bot that stops guessing and executes a framework Build v1: signal-based engine • Use RSI, ATR and cross-exchange price divergence to catch whale moves • Subscribe to Polymarket's order book WebSocket for real-time data • Minimize API calls. Let the WebSocket do the heavy lifting • This approach works around 95% of the time • The remaining 5% will cost you serious money if you hold to resolution Fastest way to copy-trade him even with $10 using: The edge No strategy wins forever Patterns only appear during specific windows of the day Your job: find the window. Trade only then AI alone won't write a strategy for you You need to train it on your own order book data first
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How you can build a Polymarket BTC trading engine with Claude to $1000/day print > RSI (context) + MACD (momentum) + Stochastic (timing) + EMA (structure) + OBV (confirmation) + VWAP (value) + Volatility (filter) = a bot that stops guessing and executes a framework Build v1: signal-based engine • Use RSI, ATR and cross-exchange price divergence to catch whale moves • Subscribe to Polymarket's order book WebSocket for real-time data • Minimize API calls. Let the WebSocket do the heavy lifting • This approach works around 95% of the time • The remaining 5% will cost you serious money if you hold to resolution Fastest way to copy-trade him even with $10 using: The edge No strategy wins forever Patterns only appear during specific windows of the day Your job: find the window. Trade only then AI alone won't write a strategy for you You need to train it on your own order book data first

0xRicker

24,856 次观看 • 5 个月前

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.
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🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

Bernard Marr

10,980 次观看 • 1 年前

The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill
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The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill

ChainGPT

25,853 次观看 • 4 个月前

Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.
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Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

MrNeRF

27,428 次观看 • 2 年前

Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE
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Over the last few months, our engineering teams have been heads down building a high throughput, low-latency blockchain coupled with an exchange replicable across different data centers. We’ve invested thousands of developer hours designing our data infrastructure stack from scratch. We designed our own streaming indexer to serve data to our frontend in real-time, and shipped optimized memory crates to push our general shared IPC to under 100 nanoseconds. This architecture enables us to colocate our sequencers with the key sources of price discovery across all asset classes: Tokyo for crypto, New Jersey for equities, Chicago for commodities. In turn, institutional market makers colocated with GTE bare metal racks will be able to post orders with minimal roundtrip latency, resulting in the tightest spreads and pristine liquidity. We call this GTE Turbo. By optimizing the entire stack from hardware, to the software, into the networking stack, we will build a world where anyone, anywhere, can trade anything, at anytime. lfGTE

Matteo

141,333 次观看 • 10 个月前

If we haven’t said it enough, thanks to each and every one of you that came to party with us in Mexico! In case you missed out this time, we’re gonna take the next 31 days to count down the 30 for 30 show (which actually ended up being a 31 for 31 show) in the order of the setlist. First up, we kicked off the night with a classic: “As Long As You Love Me”. #BSB30for30
0:20

If we haven’t said it enough, thanks to each and every one of you that came to party with us in Mexico! In case you missed out this time, we’re gonna take the next 31 days to count down the 30 for 30 show (which actually ended up being a 31 for 31 show) in the order of the setlist. First up, we kicked off the night with a classic: “As Long As You Love Me”. #BSB30for30

Backstreet Boys

35,953 次观看 • 2 年前

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:
0:13

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AlphaCartel

22,101 次观看 • 2 个月前