Ryan Mercer

Musk ignores French court. TSLA has dropped 2%. But that heat spreads —the tech stocks next. Money flees to EUR, gold, yen markets. In the meantime, his new Optimus robot is on and people look up to it as well. If you want to know what's going on behind the news? Neuburg breaks down the ripple and delivers dissected information. TradingNews feeds the data in seconds. Two tools, one edge.

@AIHighlight Live structured data is huge, but the latency of “breaking news” still matters just as much for trading decisions. I shared how Neuberg handles this with the TradingNews API and why most feeds are a few seconds late here: x.com/itsryanmercer/…

🚨 Claude just got access to live stock prices, balance sheets, cash flow statements, and breaking company news in real time. No hallucinations. No guessing. Actual structured financial data. It's called Financial Datasets MCP Server and Wall Street should be nervous: ↓

@NainsiDwiv50980 This is exactly where data latency becomes alpha — most “real-time” feeds are already seconds late. I shared how TradingNews actually powers low-latency agent workflows here: x.com/itsryanmercer/…

🚨Breaking: someone built a skill pack that turns AI agents into hedge fund analysts drop it into your agent and suddenly it can: — read real-time financial news — analyze market sentiment — track stocks automatically — predict price movements — generate research reports — visualize impact chains this is Awesome Finance Skills included modules: alphaear-news → real-time market news alphaear-stock → stock data + history alphaear-sentiment → FinBERT scoring alphaear-predictor → Kronos forecasting alphaear-reporter → full analyst reports alphaear-logic → market chain diagrams basically… AI agents that actually understand markets this is wild for automated research

@nikitabier Real-time data is everything when capital moves this fast — even a 2–5 second delay changes the game. I shared some thoughts on what actually powers true real-time feeds (and why most aren’t) here: x.com/itsryanmercer/…

𝕏 has always been the best source of financial news for traders and investors. Billions of dollars are allocated every day based on what people read on Timeline. Today we're launching our new Cashtags feature in the US and Canada on iPhone, bringing real-time financial data to X. Here's how it works: 1. When you search for or post a cashtag (or contract address), X will automatically suggest matching stocks or crypto tokens, so you can select the exact asset you had in mind. 2. Anyone who taps a Cashtag will see posts mentioning it along with its price chart—without ever leaving X. This ensures that you're always matched to the chatter for the right stock or token. Cashtags are just the first step in our commitment to be the best destination for the finance and crypto community.

@stacy_muur Solid list — on the data side I’ve been digging into the news layer too, since “real-time” often isn’t actually real-time for traders. I broke down what powers Neuberg and how the TradingNews API handles latency here: x.com/itsryanmercer/…

10 APIs every crypto trader & researcher should be using ↓ DefiLlama: TVL, fees, revenue, stablecoins, yields → api-docs.defillama.com Dune: custom SQL queries, dashboards, analytics → docs.dune.com/api-reference/… Helius: everything Solana → helius.dev/docs/api-refer… CoinGecko: prices, market caps, historical data → coingecko.com/en/api/documen… Polymarket: prediction market data, odds, events → docs.polymarket.com/api-reference/… Alchemy: EVM onchain data, logs, transactions, websockets → alchemy.com/docs/get-start… DEX Screener: token pairs, liquidity, trending tokens → docs.dexscreener.com/api/reference GeckoTerminal: DEX trades, pools, OHLCV → geckoterminal.com/dex-api CoinDesk API: prices, market data, social insights, news → developers.coindesk.com/documentation/… CoinPaprika: fundamentals, price, historical data → api.coinpaprika.com Anything I’m missing?

@stacy_muur Solid list — I’d add real-time news APIs too since they often move markets before on-chain data does. I’ve been working on TradingNews (sub-200ms, deduped, structured alerts) if anyone’s building trading or research infra: x.com/itsryanmercer/…

@ChShersh Low-latency market data problems are brutal, especially once news becomes part of the signal. I’ve been working on a real-time financial news feed with sub‑200ms latency and proper dedup/tagging, since quants expect news to move as fast as ticks: x.com/itsryanmercer/…

Not true. My real job is processing low-latency Realtime Market Data. I have to solve problems that will make average LeetCode enjoyers cry at night.

@the_smart_ape @Polymarket @pudgy3588 Low-latency is the real bottleneck — especially if you’re reacting to Polymarket moves driven by news. I’ve been working on a sub‑200ms real‑time financial news API that a few folks are piping into agents for this exact reason: x.com/itsryanmercer/…

I see a lot struggling to get reliable, low-latency data from BTC @Polymarket. Even with AI, it can get messy bc there are so many different ways to approach it. @pudgy3588 built a Polymarket data extraction skill, just plug it into your agent and it knows how to fetch market data efficiently. It’s basically a must-have for any Polymarket bot. Without solid market data retrieval, there’s no way you’re building an effective bot.

@marryevan999 Real-time pricing + options flow gets even more powerful when you layer in ultra-low latency news signals. I’ve been working on TradingNews (sub‑200ms, deduped, tagged breaking/flash) for exactly this kind of dashboard: x.com/itsryanmercer/…

This is next-level. Built a real-time market intelligence dashboard powered by OpenClaw and the Public.com API and tracking GameStop, $AMC, Nvidia, and more as it happens. • 15-second refresh cycles • Live pricing data • Options flow tracking • Real-time sentiment analysis • Early squeeze signal detection Here’s where it gets interesting 👇

@aiwithjainam This is where it gets interesting—tools like finance-skills get way more powerful when paired with low-latency news data. I’ve been working on a real-time financial news API built for quants/agents that could plug straight into setups like this: x.com/itsryanmercer/…

Someone built a Bloomberg Terminal skill for Claude and made it free. It's called finance-skills and it runs directly inside Claude Code or Claude.ai with one install command. Most people use Claude for writing and coding. The people who figure this out are going to use it for something more dangerous: understanding markets. Here's what it does: - yfinance-data fetch live prices, OHLCV history, financial statements, options chains, dividends, earnings, analyst ratings, and screener results for any ticker - options-payoff generate interactive options payoff charts for butterfly, iron condor, straddle, covered call, and more rendered inline inside Claude - telegram-news read financial Telegram channels and aggregate news feeds with one QR code login - twitter search financial tweets, track analyst commentary, monitor earnings sentiment no API keys, uses browser cookies - generative-ui render live dashboards, charts, and interactive visualizations inside Claude.ai Install everything: npx skills add himself65/finance-skills Install one skill: npx skills add himself65/finance-skills --skill options-payoff MIT License. 100% Opensource. github.com/himself65/fina…

@0xMovez I built a real-time news data API — you can give it a try. x.com/itsryanmercer/…

@0xMovez I built a real-time news data API — you can give it a try. x.com/itsryanmercer/…

Atmospheric science professor quit MIT and turned $400 → $46K on Polymarket weather markets. at university, he was exploring atmospheric forecasts with machine learning 5 years of research → he built his own ML model that predicts rare weather events {1¢ – 10¢} results shocked everyone: 116$ → 2,903$ 13$ → 1,586$ 7$ → 1,178$ he is trading a wide range of regions from Hong Kong to New York by hunting the {$0.01 – $0.10} range. his profile: @henrytheatmophd?via=following" target="_blank" rel="nofollow noopener">polymarket.com/@henrytheatmop… start copy-trading his model with as little as $5 using Ares: ares.pro/wallets/0x57ee… he isn't gambling - he is using the advantages of ML models and building his edge based on it. Pinned research on weather forecasts using ML models below ↓

@0x_Discover I built a real-time news data API — you can give it a try. x.com/itsryanmercer/…

I lost my job yesterday. Rent was due. No backup plan. So I opened Claude. Told it: “Analyze top Polymarket wallets (last 90 days) and build me something profitable” $25 → $4,237 overnight. It scanned 10,000 wallets Filtered by win rate, sizing, behavior Found 7 traders with real edge. Then built an autonomous agent: • reads live news • maps events to markets • detects mispricing • finds cross-market arbitrage • sizes using KellyDeployed at 11:47PM. Closed my laptop. Woke up to:$25 → $4,237 94 trades 0 input No emotions. No hesitation. Just information asymmetry at machine speed. Wall Street pays $2M/year for this. I pay $20/month. Copy it →t.me/KreoPolyBot?st…

@0xMovez I built a real-time news data API — you can give it a try. x.com/itsryanmercer/…

Bot turned $300 → $101K in 2 months on Polymarket weather markets scanning forecasts across 20 cities via WeatherAPI hunting ultra-rare weather events {0.01¢ -0.1¢} I found a fully working, self-calibrating Python bot running this exact strategy bots results are crazy: 25$ → 12,452$ 16$ → 8,106$ 11$ → 5,752$ bot uses (ECMWF, HRRR, METAR) forecast, calculates EV, sizes positions with Kelly, and self-calibrates. how to set-up: • install python 3.10 on PC/Mac • get free weather API from { visualcrossing .com } • set polymarket account and get API in /profile • git clone { github .com/alteregoeth-ai/weatherbot } • setup config .json using article below • run $1,000 dry test → then go live with real USDC • give it 100+ trades to self-calibrate for more accurate results add paid APIs like OpenWeather, Tomorrow .io, OpenMeteo bot profile: polymarket.com/profile/0x594e…

@antpalkin I built a real-time news data API — you can give it a try. x.com/itsryanmercer/…

> tried 10 times to build a Polymarket bot > copied code from articles. forked repos. asked in DMs. > bot #1: crashed on startup. credentials wrong. > bot #4: ran. detected edges that didn't exist. > bot #7: traded. lost $340 in two days. > bot #10: ran out of patience. almost quit. > found the Part 2 guide. > same $300 → $2.38M strategy. original got 12M views. > but this one diagnosed exactly 10 mistakes. > mistakes 1-3: prevent the bot from running. > mistakes 4-6: bot runs, produces wrong signals. > mistakes 7-10: bot trades, slowly kills your account. > I had made all 10. > followed the corrected prompt. paper mode. 200+ trades. > it works. it actually works. the strategy was never the problem. I was the bug.

Introducing TradingNews: real-time financial news API What makes it different: → Sub-200ms latency → Deduplicated across sources → Every article tagged: breaking / flash / regular → Structured JSON, REST + WebSocket, 24/7 Wall Street quants have had real-time news feeds for years. Now you do too. Built for 0DTE traders, Polymarket arbs, AI agents, and algo bots that trigger on CPI / FOMC / NFP... Enjoy 3-day free trial now 👉 tradingnews.press

We’ve been talking about Neuberg, but now I want to make public what powers Neuberg behind the scenes: the TradingNews API. Most of the time, your “real-time” news feed is not actually real-time. Most financial news APIs deliver articles 2 to 5 seconds after publication. By the time you receive them, the move has usually already happened. And on top of that, they send you the same headline 8 times from 8 different sources. Your sentiment model ends up treating one event like multiple events and starts to panic. I’ve recently been testing a new API that actually solves both problems: - Sub-200ms delivery - Deduplicated across sources - Each article tagged as breaking / flash / regular tradingnews.press — starting at $20/month. If your trading bot is still scraping RSS feeds, give this a try.

Today I want to share some of the ways Neuberg is different. First of all, Neuberg is an open-source browser-based financial terminal connected to real markets. What Neuberg can do today: - Trade 49 crypto perpetuals on Hyperliquid, including stock perps such as AAPL, TSLA, and NVDA - Trade prediction markets on Polymarket, with full order book visualization - Trade U.S. equities through Alpaca (paper + live trading) - Stream news with automated sentiment analysis and event impact detection - Display TradingView-style charts with RSI, MACD, Bollinger Bands, and VWAP - Track macro events, unusual options activity, and insider trading filings (SEC Form 4) - Visualize geopolitical conflict signals from real-time news on a heatmap Data sources include: Hyperliquid API, Polymarket API, Alpaca API, Yahoo Finance, Forex Factory, SEC EDGAR, and real-time news scraping. Website: neuberg.ai Source: github.com/KoNananachan/N…

No Bloomberg? No problem. Neuberg v1.0.0 is officially live 516 dashboards — just 3 weeks ago, there were only 30. Coverage includes: - Fixed Income — treasury auctions, credit spreads, CLOs, ABS, munis - Derivatives — option surfaces, variance swaps, swaptions - Commodities — forward curves, energy, agriculture, carbon credits - Equities — factor exposure, dark pools, pairs trading, short interest - Macro — GDP nowcast, recession probability, central bank watch AI analyzes news impact in real time, and you can trade directly on @HyperliquidX and @Polymarket Now open source: github.com/KoNananachan/N…

Introducing Neuberg: a fully open-source AI trading terminal ✅ AI news impact analysis in real time ✅ Tracks first-order & second-order effects ✅ Direct trade & predict on @HyperliquidX & @Polymarket Couldn't afford @Bloomberg, so I vibe coded my own with Claude Code 😎 Pretty useful if you want faster reactions and are tired of connecting headlines to trades manually Website: neuberg.ai Github: github.com/KoNananachan/N…