teaching AI to trade so i don't have to. paper money only, real lessons.

Joined September 2023
Arcvale retweeted
ARE YOU F**KING KIDDING ME? CLAUDE CODE HAS AN OFFICIAL STORE WITH 315 PLUGINS, AND NOBODY PUT THE GOOD ONES IN ONE LIST yesterday was anthropic's own 20 skills. today the store: notion, figma, stripe and shopify are already in it. 39 built by anthropic, 276 by partners and the community. posthog, quoted below, is one of them. the 20 worth installing first: your work apps: 1. notion → search, write and update docs and databases 2. slack → search messages and threads while you code 3. linear → create issues, update statuses 4. figma → read design files and turn them into code 5. canva → create, resize and brand-check designs money: 6. stripe → stripe's own plugin for building with stripe 7. paypal → payments, subscriptions, invoices, disputes 8. shopify-ai-toolkit → 18 skills for building on shopify 9. intuit-quickbooks → p&l, cash flow, overdue invoice reminders 10. hubspot-sales → morning brief, call prep, follow-ups written back to hubspot ship: 11. github → issues, pull requests, code review 12. vercel → deployments, build logs, domains 13. supabase → sql, auth, storage, realtime 14. sentry → production errors and stack traces without leaving the terminal 15. cloudflare → workers, agents sdk, wrangler the sleepers: 16. claude-code-setup → scans your repo and tells you which hooks, skills and mcp servers to add. by anthropic 17. security-guidance → catches injection, xss, hardcoded secrets and 25+ more before you commit. by anthropic 18. session-report → shows which prompts burned the most tokens. by anthropic 19. receipts → a report of what you shipped with claude, for your manager. stays on your machine. by anthropic 20. telegram → message your bot from your phone and it lands in your claude code session. our #1 pick the catch, straight from their readme: anthropic doesn't control what's inside partner plugins. install the ones you'd already trust with that app. start with 3, not 315: claude-code-setup, the work app you live in, session-report. one line in claude code: /plugin install claude-code-setup@claude-plugins-official which app are you plugging in first? a new one every day.
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THIS IS A F*CKING CHEAT CODE. 12 FREE GROK BOT REPOS. $100 BILLION A MONTH RUNS ON ONE OF THEM. 6 CAN TOUCH YOUR MONEY. 1 ASKS FIRST THE SMALLEST (211 STARS) IS THE ONLY S TIER. THE BIGGEST (117,000) IS ONLY B S · trades live, waits for your yes A · can place live orders B · paper and backtests only C · research only S · trades live, waits for your yes hypergrok-trading-desk → 211 stars, the smallest repo here. 7 roles and 17 skills on Hyperliquid. the example in its README: a $1,448 ETH order, $51 of risk on a $10,200 account, and it still waits for your approval github.com/galleonlabs/hyper… A · can place live orders ccxt → one API for 100+ exchanges. the line that moves money is create_order github.com/ccxt/ccxt freqtrade → a crypto bot you run from Telegram. its own README says: always start in dry-run github.com/freqtrade/freqtra… hummingbot → CEX and DEX strategies. $47B+ in total trade volume across its users, and it still gives you a paper mode on live Binance data before any key goes in github.com/hummingbot/hummin… Lean → the engine behind QuantConnect, a platform that processes $100B+ in volume a month. the same strategy goes from backtest to a live brokerage github.com/QuantConnect/Lean nautilus_trader → research, simulation and live execution in one engine. the code you test is the code that trades github.com/nautechsystems/na… B · paper and backtests only TradingAgents → 117K stars, the biggest repo here. analysts, a bull vs bear debate, a trader and a risk team. approved orders go to a simulated exchange github.com/TauricResearch/Tr… qlib → Microsoft's quant research platform: data, models, backtest and evaluation in one workflow github.com/microsoft/qlib vectorbt → fast vectorized backtests. fees, drawdowns, zero orders github.com/polakowo/vectorbt ai-hedge-fund → investor agents running paper funds. its README says it does not actually make any trades github.com/virattt/ai-hedge-… C · research only OpenBB → an open data platform for analysts, quants and AI agents. it reads markets, it never touches them github.com/OpenBB-finance/Op… Kronos → a foundation model trained on candlesticks. it forecasts, it doesn't trade github.com/shiyu-coder/Krono… before any of these gets an exchange key, ask it 3 questions: 1. can it send an order without me? 2. where is the paper or dry-run mode? 3. which line touches money? in ccxt it's create_order the order that doesn't burn your account: C to read → B to prove it on paper → A with a key that can't withdraw → S when you want a yes before every trade hottest take on the list: 117K stars and still B. stars measure popularity, not how close a repo gets to your money. which one would you move, and where? if someone you know just gave their bot an exchange key, this is the list they skipped a new list lands every night the article below: Stripe just gave AI agents a wallet. know what your bot can do with money before it gets one ↓
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Arcvale retweeted
HOLY F**K, ANTHROPIC SHIPS 20 FREE CLAUDE SKILLS AND PLUGINS ON ITS OWN GITHUB, AND NOBODY PUT THEM IN ONE LIST not a community list. every one is official. anthropics/skills alone has 184K stars. most people still run claude code bare: no doc skills, no reviewer, no loop. documents: 1. pdf → read, split, merge and fill pdfs 2. docx → create and edit word docs 3. xlsx → spreadsheets with real formulas 4. pptx → slide and pitch decks build: 5. skill-creator → turns what you repeat into your own skill and tests it. the course below does it by hand 6. mcp-builder → an mcp server for any api 7. webapp-testing → tests your web app in a real browser with playwright 8. frontend-design → ui that doesn't look ai made 9. web-artifacts-builder → react, tailwind and shadcn artifacts design + write: 10. doc-coauthoring → specs, proposals, decision docs 11. canvas-design → posters and art as png or pdf 12. algorithmic-art → generative art in p5.js 13. theme-factory → 10 ready themes for any deck or page 14. internal-comms → status updates in your company's format claude code plugins: 15. code-review → several agents review your pr and keep only high confidence issues 16. pr-review-toolkit → 6 reviewers: tests, silent errors, types, comments 17. feature-dev → explore, design, build, review a feature 18. hookify → rules that stop claude doing what you don't want 19. commit-commands → commit, push and open the pr in one go 20. ralph-wiggum → loops claude on one task until it's actually done. our #1 pick start with 3, not 20: the office docs, skill-creator, code-review. the first 2 lines in claude code: /plugin marketplace add anthropics/skills /plugin install document-skills@anthropic-agent-skills which one are you installing first? a new one every day.
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Arcvale retweeted
THIS IS F*CKING DANGEROUS this REA × Opus 5.5 board traces one feature in notes.exe, "Save as CSV". 1,281 functions mapped, unknowns down from 31 to 4, spec frozen at 1,757 lines your rebuild passes every test and you ship it. in one 697-function rebuild, a broken comparison let a wrong function pass anyway the board puts the pro loop from this article on one screen: investigate, spec, build, verify. one side reads the binary, the other builds from that spec the core is five lines: cite(fn, addr, evidence) tag(claims, obs|inf|unk) write("INVESTIGATION.md") spec = behavior_only(trace) assert copied_bytes == 0 here's how to set it up: 1. npx rea-agents@latest setup. it shows the plan before anything changes 2. practice on the official Notes example first: one Export button, one notes.csv 3. every claim gets a tag, observed, inferred or unknown, with the function and the address 4. test your tests. 50 inputs through both builds, read the match rate, not the agent's opinion. this board stops at 97.7%, the last 2.3% is your job five agents on the board, and the panel I watch is Scope: owned yes, copied code 0 bytes. study the original, ship your own ↳ concept board, illustrative numbers. full prompt in the reply
REA is most dangerous thing on the internet right now... It lets your AI agent reverse engineer any app, down to the binary If you use it correctly, you can rebuild any feature you pay for, for FREE In this article, I show you how:
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GROK BOT TRADERS ARE SITTING ON A F*CKING GOLDMINE AND MOST OF THEM HAVE NEVER OPENED IT traders pay up to $32,000 a year for a terminal seat. these 20 open-source trading tools cost $0. 174K+ GitHub stars between them data, research agents, backtests, risk and the order ticket. your bot installs them on its own computer or plugs them in over MCP. the whole desk is already built, it's just waiting for someone to switch it on 20 GitHub projects for Grok Bot traders, open these first: 01 tradingview-mcp → screeners and multi-timeframe technical analysis as an MCP server your bot can call github.com/atilaahmettaner/t… 02 Financial Datasets MCP → stock market data from the Financial Datasets API, served over MCP. ask for it, don't scrape it github.com/financial-dataset… 03 MaverickMCP → Yahoo Finance data, technical analysis, portfolio tracking and Python backtests over MCP. no API key for the core tools github.com/wshobson/maverick… 04 yfinance → Yahoo Finance prices in a few lines of Python. the data layer a lot of these tools sit on github.com/ranaroussi/yfinan… 05 OpenNews MCP → 85+ real-time news sources with AI ratings and trading signals, piped into your bot github.com/6551Team/opennews… 06 Vibe-Trading → an open-source personal trading agent from HKU, with MCP, backtests and portfolio tools built in github.com/HKUDS/Vibe-Tradin… 07 Claude Trading Skills → skills for market review, risk management, trade planning and journaling. built to structure decisions, not hand them to AI github.com/tradermonty/claud… 08 LangAlpha → agents that research the market, write a thesis and what would prove it wrong, then act only within the permissions you set github.com/ginlix-ai/LangAlp… 09 Dexter → an autonomous financial research agent that plans, checks its own work and pulls real-time market data github.com/virattt/dexter 10 AI-Trader → a trading arena built for AI agents. send your bot one message and it joins github.com/HKUDS/AI-Trader 11 TA-Lib → the standard technical-indicator library: RSI, MACD, Bollinger Bands and the rest, without writing them yourself github.com/TA-Lib/ta-lib-pyt… 12 QuantStats → sharpe, drawdowns and a full performance tearsheet from a list of returns github.com/ranaroussi/quants… 13 Riskfolio-Lib → portfolio optimization that sizes positions by risk instead of gut feeling github.com/dcajasn/Riskfolio… 14 hftbacktest → backtests high-frequency and market-making strategies with queue position and latency, not perfect fills github.com/nkaz001/hftbackte… 15 pysystemtrade → a full systematic trading framework in Python, from forecasts to position sizing github.com/pst-group/pysyste… 16 OpenAlgo → a free, self-hosted trading platform in front of your broker: design, host and run strategies github.com/marketcalls/opena… 17 ib_async → the Python framework for the Interactive Brokers API, the successor to ib_insync github.com/ib-api-reloaded/i… 18 Interactive Brokers MCP → an unofficial IBKR server your bot can talk to. alpha software, so paper account first github.com/code-rabi/interac… 19 OctoBot → a free crypto bot for AI, grid, DCA and TradingView strategies on Binance, Hyperliquid and more github.com/Drakkar-Software/… 20 Condor → Hummingbot's open-source harness for creating and managing AI trading agents github.com/hummingbot/condor start with 3, not 20: one for data (MaverickMCP), one for the truth about your returns (QuantStats), one for the order ticket (OpenAlgo on paper) run the same idea before and after. keep a tool only if the result gets clearer or cheaper every connector you add is access. nothing here touches a real dollar without your yes before you pay for another signal app, check whether your bot can already do it with these. a new list lands every night the article below runs a world champion's strategy through 700,000 gold trades. that's the kind of test these tools let your bot run ↓
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Arcvale retweeted
I am begging you to paste this into Claude Code before Monday's open, it's a trading desk that reads the market for you... It pulls live quotes, options Greeks & news through Alpaca's official MCP, backtests every setup & stages paper orders that wait for your click. Steal this before everyone's desk runs on it: a new Claude Code setup every night.
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Arcvale retweeted
YOU PAY $265,440 A YEAR FOR THIS WORK. CLAUDE DUET DID IT BEFORE 9:41 AM FOR $20. you used to prompt claude. now claude prompts you. anthropic's own demo, a made-up café company with 85 people. watch it run the morning: → 5:30 pulled pos, shopify, crm, support, payroll and bank. $528K revenue this week, $2.1M cash → 5:48 rebuilt the series a deck with q3, flagged slides 6 and 9, read all 6 partners' bios → caught a $410K renewal coming back redlined, they want net 60 → the top candidate's other offer ends at 6 p.m. offer drafted → 27 wrong orders, refunds drafted → churn 2.6% → 3.4% after a shipping price change. free shipping over $40 would have kept about 7 in 10 at 9:41 the owner gets one line: "5 things in progress and 2 that need you." it doesn't replace the team. it does the first draft of their day. how to set yours up: → get on the waitlist, it's pro and max in the us → connect the apps it should read, 6,000+ connectors → send it this once: "you're my ops lead for [business]. every morning before 7: one page with revenue vs last week, cash, and anything that moved more than 10%. flag what in my inbox and calendar needs me today, max 3. draft replies, invoice reminders and refunds. never send or pay without my ok. if a number moves, tell me why and give me one test i can approve. otherwise stay quiet." which part of your business would you hand it first? a new one every day.
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THIS IS ULTRA MEGA F*CKING UNFAIR if you only chat with your Grok Bot, you're paying for 100% of it and using about 5%. the other 95% is already on GitHub: 5,800+ Grok Bot repos, FREE hosted agent apps charge $20–$300 a month for what these 20 do. that's up to $3,600 a year you never have to spend. and since Grok Bot can now use the Calendar, Reminders and Contacts on your phone, they reach your real day, not just a chat window 20 GitHub projects worth opening first: 01 GrokBot Notch → stop typing. your Grok Bots live in your MacBook's notch and you talk to any of them by voice github.com/robzilla1738/grok… 02 AgentDock → call your bots like contacts. a floating voice speed-dial: call, mute, hang up or switch bots with one click github.com/we1jia/AgentDock 03 Android Grok Home → turn an old Android phone into a bot you talk to. animated avatars, voice or text, your own Grok Bots. no firmware flash github.com/drumpat01/android… 04 Zongzhu Bot → a desk gadget with blinking eyes. say one line: research goes to Grok Bot, music and volume run on your computer github.com/Liu-zhongxian/zon… 05 Sidemates → a small team that works in your own Mail, Calendar and Notes on a Mac. sign in with the Grok plan you already pay for, and it asks before anything important github.com/PrisacariuRobert/… 06 Grok Bot Telegram Bridge → text your bots from Telegram like a friend. the bridge runs inside Grok Bot's own computer, no public webhook. unofficial github.com/SSBrouhard/grokbo… 07 Grok Bot Inbox → give your bot its own email address on Cloudflare Workers, reached over MCP. you run it, the mail stays on your account github.com/ethanolivertroy/g… 08 my-bot-scripts → wake a bot with an iMessage, relay between two bot accounts, push notes to Notion. one builder's real kit github.com/wustep/my-bot-scr… 09 wx-bot → your agent answers WeChat through Tencent's official channel, without losing a message github.com/lawrencewzen/wx-b… 10 Personal Agent Proxy → connect email, Google, Notion and Linear once, then give each agent only what it should see github.com/personalagentprox… 11 Bot Team Playbook → one person, one bot team: a supervisor plus specialists that hand off and check each other, with copy-ready prompts for 8 personas github.com/doublesq97-ui/bot… 12 UseGrokBot → steal what already works. real Grok Bot use cases from X and the web, explained in plain language, credited to whoever built them github.com/a70win-wq/usegrok… 13 Awesome Grok Bot templates → ready-to-use bots with full prompts and their original creators, for sales, marketing, ops and personal life github.com/Anil-matcha/aweso… 14 Awesome Grok Bot directory → 63 skills, plugins, MCP servers and self-hosted alternatives, each checked against a primary source github.com/ZeroPointRepo/awe… 15 grok-bot-setup → run a whole fleet without the chaos: thin chats, files as memory, one home bot that spins up the rest github.com/florianthompson/g… 16 grokbot-usage-cli → your bots check their own plan usage before they burn it. read-only github.com/bcharleson/grokbo… 17 Locum → Grok Bot hands coding to the Claude Code and Codex already on your machine, instead of burning its own usage github.com/HarjjotSinghh/loc… 18 Auspex → one live board on your Mac for every agent you run, Grok Bot included: who's thinking, calling tools or delegating github.com/AstroQore/auspex 19 Xiryn → an open-source personal agent you run yourself. each agent gets its own Linux desktop in Docker, and you steer it from Telegram github.com/SouravBeraAkaSpee… 20 Rome → an open-source agent OS that also works as an alternative to Grok Bot and Meta's Muse github.com/rome-os/rome 3 jobs you're paying for and not using yet: → the morning brief: one bot reads your inbox and calendar, you read one message over coffee → the chat backlog: Telegram or WeChat questions answered while you sleep, anything unclear waits for you → the follow-ups: drafts for every reply you owe, and nothing goes out without your yes now that it can touch your calendar and contacts, the rule matters more: a bot that drafts is great. a bot that agrees to things for you is not before you pay for one more agent app, go through these 20. most of what you'd buy is already here for $0. a new list lands every night the more your bots do, the easier it gets for them to just agree with you. the article below builds a board room of bots that argues back before you decide ↓
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Arcvale retweeted
HOLY F**K, ANTHROPIC TOLD US 20 WAYS TO USE CLAUDE DUET, AND NOBODY PUT THEM IN ONE LIST they spread them across a launch page, a faq and a demo. we put every one in a single note. money: → find unpaid invoices and draft the reminders → get payroll ready for your review → get contracts ready to send → pay only after your ok work: → build a brief, a deck or a dashboard → set up the meeting, then tell you → pull numbers from the apps you connect → hand back a doc or a sheet to review daily stuff: → a morning brief of what needs you → flag what matters in your inbox and calendar → draft your replies → voice or text, no prompts, no setup and the 4 hiding in their demo: a business dashboard that refreshes at 5:30 every morning, investor meeting prep from the partners' bios, a churn spike traced back to a shipping price change, and a county permit filled out and waiting for your ok to pay. it "waits for your ok when it matters", their words. the people who usually do these jobs cost $265,440 a year at us median pay. claude pro is $240. which one are you handing off first? a new one every day.
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THIS IS SUPER MEGA F*CKING INSANE SpaceXAI just gave Grok Bot a vault for your logins and cards. now it can sign in and pay for you. here are 20 bots worth up to $6,400 to put it to work, for FREE bots like these usually sell for $60–$320 each. and the vault is only the official part. GitHub already lists 5,000+ Grok Bot repos: whole teams with job titles, skills that reach your phone and iMessage, and open-source copies of Grok Bot you can host yourself 20 GitHub projects worth opening this weekend: 01 TemplatesGrokBot → a library of ready-made Grok Bot templates you search by job title. paste one into a new bot and it sets itself up: who it is, what it does, what it must never do github.com/templatesgrokbot/… 02 botdirectory.ai → a community directory of copy-paste bot prompts: email triage, daily briefings, SEO fixes, churn warnings. paste one in and it turns itself into a scheduled bot github.com/elie222/botdirect… 03 Grok Bot GTM team → 13 go-to-market bots with one job each. department heads route and gate the work, and the whole team imports with one prompt github.com/timscheuerai/grok… 04 Grok Bot Field Notes → the rules, playbooks, bot roles and failure log from three Grok Bot engineers who shipped a product in 72 hours live. drop the AGENTS.md into your repo github.com/unicodef1wn/grokb… 05 awesome-grok-bot → a bilingual map of the Grok Bot world: official docs, events, guides and community tools in one list github.com/RongleCat/awesome… 06 Grok Bot iMessage skill → lets Grok Bot read, search, triage and send your iMessages on a Mac through a local helper. experimental, and it sees your whole Messages history github.com/jeffhuber/grokbot… 07 agent-cookie-sync → gives Grok Bot the sites you're already signed into in Chrome, only the ones you pick, so its first real task doesn't hit a login wall github.com/markfulton/agent-… 08 phone-harness → lets your agent use your real phone: scroll, tap, type and read, with no jailbreak and nothing installed on the phone github.com/ShawnPana/phone-h… 09 remove-your-data → an agent skill that takes your listings off people-search sites and data brokers without paying a deletion service github.com/k7cfo/remove-your… 10 XChat Agent Skeleton → X's own starter for an encrypted X Chat bot powered by Grok and Grok Imagine. /imagine sends an image straight back into the DM github.com/xdevplatform/xcha… 11 Grok Bot Clipper → an unofficial browser extension that captures pages, screenshots and social posts and sends them to the bot you pick github.com/RongleCat/grok-bo… 12 grokbot-local-agent → hands heavy work from Grok Bot to a coding agent on its own computer, then wakes the bot with a webhook when the job is done github.com/robbin/grokbot-lo… 13 opengrok → runs other models inside Grok Bot (Claude, GLM, Qwen, Gemini) and swaps the brain mid-chat. your keys stay on your machine github.com/OnlyTerp/opengrok 14 Grok Bot Jev Router → puts a cheap decision layer in front of Grok Bot, so research, browsing and retries only run when the request needs them github.com/Bodila51/grok-bot… 15 Persona Voice → swaps the spoken voice of ChatGPT, Codex or Grok Bot for one you choose. the conversion runs locally github.com/miuuyy/persona-vo… 16 OpenMausBot → an open-source Grok Bot alternative: your own team of bots in a chat app, each with its own model, cloud computer and apps github.com/milind-soni/OpenM… 17 Rakazo → a self-hosted Grok Bot alternative on web, desktop, iPhone and Android. bring your own model and computer, or run the whole stack locally github.com/elie222/rakazo 18 Lorca → another self-hosted alternative: bots in 1:1 or group chats that hand work to each other, end-to-end encrypted, on desktop and phone github.com/egoist/lorca 19 OpenBot → a local-first desktop workspace for AI teammates: Codex, Claude Code, Grok CLI and more, each with its own workspace, queue and browser github.com/nightly-labs/open… 20 Groki Bot → an open-source desk robot you talk to through the Grok Bot app. firmware, a computer-side gateway and the Grok Bot link in one repo github.com/JosssphZhou/groki… give your first bot one job with an obvious finish line: one triaged inbox, one morning brief, one batch of drafts then check what each skill can actually touch. iMessage, browser cookies and now a card vault are full access, not a demo keep a human yes in front of anything that sends, buys or deletes. the vault makes paying easy. that's exactly why you stay in the loop before you burn a Saturday building a bot that already exists, go through these 20. a new list lands every night if you only chat with Grok Bot, you're using about 5% of it. the article below walks through the other 95% ↓
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IT IS BECOMING F*CKING SCARY A developer just pointed Claude's new Split Agent mode at his repo to see what happens when two models refuse to let each other cut corners He launched a dual terminal session at 1 AM, fed it a 9,000 line codebase overhaul, and watched the live output: * Agent #1 (Architect) maps out every dependency and writes strict unit tests for each function * Agent #2 (Builder) writes the actual code to pass those tests * If a test fails, the Architect rejects the commit in ~350ms and forces the Builder to rewrite it * The loop doesn't break until the code passes every single check with zero errors left The result from a single run: 14 closed bugs, a fully rebuilt service layer, and zero hallucinations A dev agency would bill $6,000 and two weeks of revisions for this sprint. He got it in 9 minutes The trick is the closed loop: when one model writes and the other one questions every single line, the AI physically cannot invent fake methods or skip edge cases Same kind of adversarial agent setup that keeps showing up across the entire dev timeline right now The part nobody's posting is the exact prompt structure that holds this loop together. before someone packages it into an expensive paid tool Full breakdown and setup guide in the article below
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Arcvale retweeted
Opus 5.5 got nerfed? TEST IT YOURSELF everyone's been posting about it for 4 days. almost nobody posts the receipt same prompt. 3 runs. one flag tells you who's guilty: → run 1: claude --bare -p "<your prompt>" --output-format json skips CLAUDE.md, hooks, skills, plugins, MCP and auto memory. that's the model alone → run 2: the same line without --bare that's the model plus everything your setup loads on every turn → run 3: /effort status, then /usage on Pro or Max it names what's eating your limit: subagents, skills, plugins, MCP servers compare total_cost_usd from run 1 and run 2. the gap isn't Opus. it's everything you loaded on top (--bare logs in with an API key, and both numbers are client-side estimates, not your bill) and it burns tokens faster? that gap is where they go. one Claude Code receipt every night. tonight's you run yourself.
Claude, you're fired. I just moved my fiancée off Claude Code and onto @bot. We canceled her subscription. Since February, I've told everyone to run their second brain on Claude Code. This is the first time I've pointed someone at something else.
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THIS IS PURE F*CKING GOLD FOR GROK BOT TRADERS beyond the 1,894 public Grok Bot shares people pass around, there are 20 open-source trading repos with 622K+ GitHub stars you can point Grok Bot or Claude Code at. completely FREE. and most traders have never opened one full trading firms made of agents, bull and bear researchers who argue before every trade, risk teams that attack the decision, a foundation model trained on candlesticks, and engines that run the same strategy in backtest and live. all open source 20 GitHub projects worth opening first: 01 hypergrok-trading-desk → 7 role profiles and 17 skills for research, risk, execution and review on Hyperliquid. starts on public data with no wallet, runs in Grok Bot and Claude Code github.com/galleonlabs/hyper… 02 awesome-grokbot → 1,894 live Grok Bot shares, every link status-checked and filterable. search it for a trading setup before writing your own instructions github.com/kydlikebtc/awesom… 03 TradingAgents → a trading firm made of LLMs: 4 analysts, bull and bear researchers who debate, a trader, a risk team and a portfolio manager who approves or kills the call github.com/TauricResearch/Tr… 04 ai-hedge-fund → investor agents that run paper funds on real market days with fake money, plus backtests against a benchmark. works with Anthropic, xAI and more. never places a real trade github.com/virattt/ai-hedge-… 05 OpenBB → an open data platform for analysts, quants and AI agents. one place to pull market data before any agent forms an opinion github.com/OpenBB-finance/Op… 06 alpaca-mcp-server → Alpaca's official MCP server. stocks, ETFs, crypto and options through plain language from Claude, Cursor or VS Code github.com/alpacahq/alpaca-m… 07 Kronos → the first open-source foundation model for candlesticks, trained on data from 45+ global exchanges github.com/shiyu-coder/Krono… 08 qlib → Microsoft's AI-oriented quant platform: supervised learning, market dynamics modeling and RL, from first idea to production github.com/microsoft/qlib 09 RD-Agent → Microsoft's agent that automates the research loop. its quant version, R&D-Agent-Quant, was accepted to NeurIPS 2025 github.com/microsoft/RD-Agen… 10 FinGPT → open-source financial LLMs, including a forecaster and sentiment models released on Hugging Face github.com/AI4Finance-Founda… 11 freqtrade → a free crypto trading bot in Python with backtesting, plotting, money management and strategy optimization. control it from Telegram or a web UI github.com/freqtrade/freqtra… 12 hummingbot → automated strategies on centralized and decentralized exchanges. its Condor harness connects LLM decisions to deterministic execution, and paper mode needs no API keys github.com/hummingbot/hummin… 13 ccxt → one trading API for 100+ crypto exchanges and prediction markets, in JavaScript, Python, C#, PHP, Go, Java and Rust github.com/ccxt/ccxt 14 nautilus_trader → a production-grade, Rust-native engine. research, deterministic simulation and live execution in one event-driven architecture github.com/nautechsystems/na… 15 Lean → QuantConnect's algorithmic trading engine. write the strategy in Python or C#, backtest it, then take the same code live github.com/QuantConnect/Lean 16 jesse → research, backtest, optimize and live-trade your own crypto strategies. multiple timeframes and symbols without look-ahead bias, fully self-hosted github.com/jesse-ai/jesse 17 vectorbt → test thousands of trading ideas fast, then inspect trades, fees, drawdowns and portfolio performance in interactive charts github.com/polakowo/vectorbt 18 backtesting.py → pip install, write one Strategy class, run one Backtest. the shortest path from an idea to a result on history github.com/kernc/backtesting… 19 FinRL → the original reinforcement learning framework for trading. built for education, benchmarks and research prototypes github.com/AI4Finance-Founda… 20 machine-learning-for-trading → the code of the book, 3rd edition. 27 chapter guides from data sourcing to live execution github.com/stefan-jansen/mac… start with one repo you can actually read. give Grok Bot the link, have it read the README and run it on paper first read every agent's output and check one trade by hand before anything goes on a schedule then write the risk limits in yourself: position size, max loss per day, and a human yes before any real order 20 repos. 622K stars. $0 in software. none of them know your risk limits until you write them in a new stack like this every night the code is free. the tokens to run it through Grok Bot aren't. the article below shows 7 fixes that turn 7 usable results into 70 on the same budget ↓
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GETTY IMAGES FILED FOR BANKRUPTCY YESTERDAY. THE PLAN CANCELS EVERY PUBLIC SHARE. YOUR F*CKING BACKTEST WILL NEVER KNOW IT EXISTED backtest audit, layer 2. this is how survivorship bias gets made: > chapter 11 in delaware, prepackaged plan > if it's confirmed, every class A share is cancelled. holders get nothing > part of the story: AI images eating stock photography a year from now GETY won't be on any ticker list. a backtest built on today's list skips it, and every one like it not rare. one study ran every US stock since 1926 (Bessembinder, 2018): > most lost to 1-month T-bills over their lifetime > about 4% of companies made all the net gains the quant course everyone's quoting this week ↓ says it straight: the dataset only holds companies still alive the split: → pull the universe as it was on each date, not as it is today → keep delisted tickers with their final price, even when it's zero → add delisting returns, not just the last close → rerun and compare against the "alive only" version you only step in three times: → when the dead list looks too short → when the edge shrinks after adding them. that's the real number → before anything goes near real money your backtest only met the winners. the market didn't paste this into Claude Code ↓ "Check my backtest in backtest/ for survivorship bias: 1. Show where the ticker universe comes from and when it was built. 2. Rebuild it point-in-time: for every rebalance date, only the stocks listed on that date. 3. Add delisted tickers with their final prices and delisting returns. Flag any I can't get data for. 4. Rerun both versions and show returns and sharpe side by side. 5. Paper only. Log every run to runs.csv. Show me the report first. Don't change any code until I say go." 7 layers. this was 2. tomorrow: the 0.2% fee that turns a $1,200 year into $600
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YOUR CLAUDE CODE IS BURNING YOUR LIMIT WHILE YOU SLEEP one bug report on the Claude Code repo: 7 agents left running overnight. the panel said 2.5M tokens. the transcripts showed ~50M written to cache. about 25% of a weekly limit, gone by morning the reason is in the docs: → on Pro and Max the main chat keeps its cache for 1 hour → subagents, teammates and workflows get 5 minutes, even on Max → every wake-up after 5 min writes the whole context again → go past your plan into usage credits and the main chat drops to 5 min too before you blame a nerf, add 2 lines to ~/.claude/settings.json: "promptCacheTtl": "1h", "subagentPromptCacheTtl": "1h" check it took: claude -p "hello" --output-format json → look for ephemeral_1h_input_tokens (1h writes cost more per write. they pay off when anything sits idle past 5 min, not on nonstop bursts) the panel saw 2.5M. the limit saw the rest. one Claude Code bill trap every night. tonight's ran while you slept.
Your AI agent can remember everything and still get it wrong. Stale facts, lost context, and bad retrieval break long-running workflows. In this article, I show you how to build a memory system that knows what to keep, load, and forget.
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YOUR AI BACKTEST IS F*CKING CHEATING. IT TRADES EARNINGS BEFORE THEY WERE EVER PUBLIC a quant builder just laid out how it happens ↓ > earnings get stamped with the quarter end, not the day they came out. the bot "predicts" news it already read > the stock list only has companies alive today. every bankruptcy quietly disappears > 27 versions tested, only the best one shown > $1,200 gross on $10K drops to $600 after 0.2% costs (the piece's own example math) the model never calculated any of it. it just sounded sure now point it at your own backtest the split: → every data point gets the date it went public, not the period it covers → the universe keeps the dead companies → every run gets logged, not just the winner → costs go in before the sharpe, not after you only step in three times: → when a curve looks too smooth → when fixing the dates kills the edge. that's the point → before anything goes near real money the model writes the idea. the engine does the math. nothing trades on a vibe paste this into Claude Code ↓ "Audit my backtest in backtest/: 1. List every field used for signals and when it became public, not the period it covers. Flag any look-ahead. 2. Check the universe: does it include delisted and bankrupt tickers on each date? If not, flag survivorship bias. 3. Shift every signal by one bar and rerun. Show before and after. 4. Rerun with 0.1% and 0.2% costs per dollar traded. 5. Log every variant I tried to runs.csv, not just the best one. Show me the report first. Don't change any code until I say go." one of these every night. tomorrow's goes one layer deeper
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DEEPSEEK JUST GAVE AWAY THE ENGINE BEHIND 155 TRILLION TOKENS A DAY. IT KEPT ONE PART: THE PART THAT REMEMBERS. yesterday: 89.5M tokens for 54 cents, almost all cache hits. now deepseek showed the kitchen. from their own writeup: > one cluster: 155 trillion tokens a day > $38 revenue per gpu per hour, at off peak prices > kv cache built to live 72+ hours, so yesterday's context can still be a hit > prefill on 8 gpu boxes, decode on 64 to 128 gpu supernodes > runs on nvidia and huawei ascend what's open: > deepinfer, the engine > deepseek recipe, the layer that turns api calls into tokens what's not open yet: > kv cache management and load balancing. "deeply coupled with the internal infrastructure" so you can run the whale yourself. you just can't copy its memory. the engine is free. the memory is the moat. one stack, real receipts. a new one every day.
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YOUR AI BACKTEST IS F*CKING CHEATING. IT TRADES EARNINGS BEFORE THEY WERE EVER PUBLIC a quant builder just laid out how it happens ↓ > earnings get stamped with the quarter end, not the day they came out. the bot "predicts" news it already read > the stock list only has companies alive today. every bankruptcy quietly disappears > 27 versions tested, only the best one shown > $1,200 gross on $10K drops to $600 after 0.2% costs (the piece's own example math) the model never calculated any of it. it just sounded sure now point it at your own backtest the split: → every data point gets the date it went public, not the period it covers → the universe keeps the dead companies → every run gets logged, not just the winner → costs go in before the sharpe, not after you only step in three times: → when a curve looks too smooth → when fixing the dates kills the edge. that's the point → before anything goes near real money the model writes the idea. the engine does the math. nothing trades on a vibe paste this into Claude Code ↓ "Audit my backtest in backtest/: 1. List every field used for signals and when it became public, not the period it covers. Flag any look-ahead. 2. Check the universe: does it include delisted and bankrupt tickers on each date? If not, flag survivorship bias. 3. Shift every signal by one bar and rerun. Show before and after. 4. Rerun with 0.1% and 0.2% costs per dollar traded. 5. Log every variant I tried to runs.csv, not just the best one. Show me the report first. Don't change any code until I say go." one of these every night. tomorrow's goes one layer deeper
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holy sh*t, split that five-department Opus studio into an Agent Team and ONE Opus session quietly becomes 5 Opus bills... with teams on, any subagent Claude names becomes a teammate, asked or not. and every teammate runs on the lead's model unless you say otherwise 1 Opus lead + 4 teammates, each reading 1M tokens and writing 100K: → all Opus 5.5: ~$30 → Sonnet 5.5 teammates: ~$18 → Haiku 5.5 teammates: ~$6.60 (list prices, no cache) one env var fixes the default: CLAUDE_CODE_SUBAGENT_MODEL=sonnet claude --model opus → Opus leads and reviews → any teammate without a model of its own runs on Sonnet → name haiku in the spawn prompt for read-only grunt work → teammates copy the lead's effort too, so check /effort status you picked Opus once. the team picked it 4 more times. one Claude Code bill trap every night. tomorrow's is already in the queue.
Claude Opus 5.5 could turn a single AI bot into an entire motion design studio. It can direct scenes, animate product interfaces, render videos, catch visual mistakes and deliver polished results. In this article, I show you how.
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A 23-YEAR-OLD CLAIMS 240 CLAUDE CODE AGENTS DID A $175K ANALYST'S JOB IN ONE AFTERNOON. THE F*CKING TRICK IS ONE LOOP his post this week: > 10 scouts, 9 extractors, 8 cross-checkers, 6 reconcilers, 3 judges > 120 company filings > every claim held against the exact source page > anything that doesn't match goes back as "rewrite" can't verify the kid. the loop is real and you can build it tonight the rule underneath ↓ an agent never grades its own work now point it at earnings season your bot reads a press release, grabs "revenue up 12%" and trades it. one wrong number and you just bought a headline that never existed the split: → the big model writes every claim with a page number → a cheap model opens that exact page and checks it → mismatch = rewrite, never a trade → only claims that survive both reach your signals you only step in three times: → when a claim bounces twice → when the filing and the press release disagree → before anything goes near real money the big model writes. the cheap one checks. nothing trades unverified paste this into Claude Code ↓ "Build earnings_check.py: 1. Pull the latest 10-Q and earnings press release for [ticker] from SEC EDGAR. 2. Have Opus extract every number (revenue, EPS, margins, guidance) with the exact page it came from. 3. Have Haiku open that page and confirm each number. Mismatch → send back as rewrite. 4. Loop until every claim matches, max 3 passes. Log every bounce to verify.log. 5. Write only verified claims to signals.csv. Paper only, no orders. Show me the code first. Don't run anything until I say go." one of these every night. tomorrow's builds on this one
REA hit #1 on GitHub trending, and most people still run it inside a single chat Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate Set it up once, aim it at the next one:
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