Andrii

Crypto investors, FX Traders

[Quant Science @quantscience_]

Python framework for comparing trading strategies.

Get it here (free):

[Andrii @Andrii_Rebets]

@volodymyr_nosov @WhiteBit @any_chumak
@viktorminie

[Volodymyr Nosov 🇺🇦 @volodymyr_nosov]

To celebrate #WhiteBIT receiving its MiCA licence, we’re giving away 5 WBT (~250$) to 5 winners.

📍 To join:
• Follow me @volodymyr_nosov and @WhiteBit
• Like and retweet this post
• Tag 2 friends in the comments
Have a WhiteBIT account to claim your prize.

5 winners will be selected at random 15 July!

Good luck!

#WhiteBIT #WBT #WBTcoin #Mica #crypto

[Quant Science @quantscience_]

🚨 Someone built an AI that reads candlestick charts the way GPT reads English.

Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.

It's called Kronos.

The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.

Every other model treats financial data like weather data. Kronos treats financial data like financial data.

Here's what it does:

→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.

Here's the wildest part:

→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.

Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.

This runs on your laptop. Few lines of Python. Free.

Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.

11.6K GitHub stars. 2.4K forks. MIT License.

100% Open Source.

Get it here on GitHub: https://t.co/IdEgklvY0a

🚨Want to learn Algorithmic Trading Strategies (that actually work)?

On June 25th, we are hosting a free workshop to help you get started with algorithmic trading with Python.

Register here (500 seats): https://t.co/uBk2SeORef

[4x @4xemperor]

Master the Fractal Model.

Understanding market structure changes everything — precision, timing, and execution all improve when you learn to read price the right way.

Comment “Fractal” below and get the complete Fractal Model PDF directly in your DM.

Follow • Like • Repost • Bookmark for PDF.

[Leonard Rodman @RodmanAi]

Holy shit.

Someone just open-sourced a financial brain.

It’s called Dexter.

→ Finds undervalued stocks
→ Breaks down entire businesses
→ Builds full investment theses
For free.
Wall Street interns? Optional now.

Repo: https://t.co/t39DCKMqA8

[Displacement Trades @iamdisplacement]

Mastering Turtle soup

I spent 3 Years Building Turtle soup Framework

Turned into 2 Hour Masterclass

🔥 Like + Follow + comment "SOUP" — I’ll DM it to you. Free

[Tw93 @HiTw93]

🎉 Mole for Mac is here! https://t.co/e9ooQMCfRL

A quiet keeper for your Mac. Clean, uninstall, optimize, analyze, and monitor, all in one native app. Replaces CleanMyMac · AppCleaner · DaisyDisk · iStat Menus.

$9 once · 2 Macs · lifetime updates · code MOLELOVE for 20% off

[FHILY👑 @Oluwaphilemon1]

How to set up Claude Code so it runs like a full dev team:

5 folders. That's the entire system.

1. CLAUDE.md → Memory.

Your repo's constitution. Naming rules, structure, expectations. One global file for all projects, one local file per repo.

2. skills/ → Knowledge.

Reusable workflows Claude auto-invokes by matching the task description. No slash commands. It just knows.

3. hooks/ → Guardrails.

Shell scripts that run before and after every tool call. Block dangerous commands. Auto-lint on save. Ping Slack on deploy. Deterministic. Not AI.

4. subagents/ → Delegation.

Isolated agents with their own context window. A code reviewer that only sees the diff. A test runner with custom permissions. Keeps your main session clean.

5.plugins/ → Distribution.

Bundle the whole system into one install. Every teammate gets the same skills, same hooks, same agents. Aligned from day one.

This is the Agent Development Kit. Five layers, one stack.

To learn how and get the full Claude guide:

1. Go to https://t.co/tENwrV5kGd
2. Subscribe free by just writing your email.
3. Open my welcome email and get the free resources.

Repost ♻️ to help someone in your network.

[Ram Singh Verma @RamSingh_369]

📂 AI Stack (2026 Edition)
┃
┣ 📂 AI Models
┃ ┣ 📂 OpenAI
┃ ┣ 📂 Anthropic
┃ ┣ 📂 Google DeepMind
┃ ┣ 📂 Meta AI
┃ ┗ 📂 Mistral AI
┃
┣ 📂 LLM APIs
┃ ┣ 📂 GPT-4o
┃ ┣ 📂 Claude 3
┃ ┣ 📂 Gemini 1.5
┃ ┣ 📂 LLaMA 3
┃ ┗ 📂 Mixtral
┃
┣ 📂 AI Agents
┃ ┣ 📂 LangChain
┃ ┣ 📂 LlamaIndex
┃ ┣ 📂 AutoGen
┃ ┣ 📂 CrewAI
┃ ┗ 📂 Haystack
┃
┣ 📂 Vector Databases
┃ ┣ 📂 Pinecone
┃ ┣ 📂 Weaviate
┃ ┣ 📂 Qdrant
┃ ┣ 📂 Milvus
┃ ┗ 📂 Chroma
┃
┣ 📂 RAG (Retrieval-Augmented Generation)
┃ ┣ 📂 LangChain RAG
┃ ┣ 📂 LlamaIndex RAG
┃ ┣ 📂 Haystack RAG
┃ ┣ 📂 Vectara
┃ ┗ 📂 Elastic RAG
┃
┣ 📂 AI Deployment
┃ ┣ 📂 Replicate
┃ ┣ 📂 Modal
┃ ┣ 📂 RunPod
┃ ┣ 📂 Hugging Face
┃ ┗ 📂 AWS SageMaker
┃
┣ 📂 Fine-Tuning
┃ ┣ 📂 LoRA
┃ ┣ 📂 QLoRA
┃ ┣ 📂 PEFT
┃ ┣ 📂 OpenAI Fine-tuning
┃ ┗ 📂 Axolotl
┃
┣ 📂 AI Observability
┃ ┣ 📂 LangSmith
┃ ┣ 📂 Helicone
┃ ┣ 📂 PromptLayer
┃ ┣ 📂 Weights & Biases
┃ ┗ 📂 Arize AI
┃
┣ 📂 AI UI / Frontend
┃ ┣ 📂 Vercel AI SDK
┃ ┣ 📂 Streamlit
┃ ┣ 📂 Gradio
┃ ┣ 📂 React
┃ ┗ 📂 Next.js
┃
┣ 📂 Multimodal AI
┃ ┣ 📂 DALL·E
┃ ┣ 📂 Stable Diffusion
┃ ┣ 📂 Whisper
┃ ┣ 📂 ElevenLabs
┃ ┗ 📂 Sora
┃
┣ 📂 Automation / Workflows
┃ ┣ 📂 Zapier
┃ ┣ 📂 Make
┃ ┣ 📂 n8n
┃ ┣ 📂 Pabbly
┃ ┗ 📂 Temporal
┃
┣ 📂 AI Security
┃ ┣ 📂 Guardrails AI
┃ ┣ 📂 Rebuff
┃ ┣ 📂 Lakera AI
┃ ┣ 📂 Microsoft Presidio
┃ ┗ 📂 Cloudflare
┃
┣ 📂 AI Use Cases
┃ ┣ 📂 Chatbots
┃ ┣ 📂 AI Agents
┃ ┣ 📂 Code Generation
┃ ┣ 📂 Content Creation
┃ ┣ 📂 Video Generation
┃ ┗ 📂 Voice Assistants
┃
┗ 📂 Future Trends
┣ 📂 Autonomous Agents
┣ 📂 AI Operating Systems
┣ 📂 Real-time AI
┣ 📂 Personal AI Assistants
┗ 📂 AI-native SaaS

[Tom Dörr @tom_doerr]

Backtest TradingView strategies inside Claude Code

https://t.co/9KLXzHW0NO

[Hasan @Ubermenscchh]

You can make $500 per day if you have:

1. A laptop
2. Wi-Fi
3. Time

Here are 10 Claude Prompts that can pay you daily:

[Crypto Rover @cryptorover]

Claude Trading Agent

We've compressed everything into one Guide.

Get it for FREE:
- Like, Repost & Follow me
- Join the Discord & verify yourself (link in comments)

[Utkarsh Sharma @techxutkarsh]

CLAUDE can trade stocks like a pro.

But 99% of users still aren’t using its full potential.

Here are 7 powerful prompts to put your trading on autopilot:

(Save this before it disappears)

[gus @igus_ai]

CLAUDE CODE PUEDE AHORA EXTRAER DATOS EN VIVO DE MÁS DE 17.000 ACCIONES, PRECIOS DE CRIPTOMONEDAS Y ESTADOS FINANCIEROS EN SEGUNDOS.

Un comando. 60 segundos. Listo.

Aquí está la configuración exacta:

Paso 1: Abre Claude Code y pega esto:

claude mcp add --transport http financial-datasets https://t.co/51qgRjmah6

Paso 2: Autenticación
Escribe “/mcp”dentro de Claude Code y completa el flujo de OAuth en tu navegador.

Verifica la conexión en cualquier momento:

claude mcp list

Paso 3: Comienza a formular preguntas
- "¿Cuál es la relación P/E actual de Apple y su capitalización de mercado?"
- "Muéstrame el estado de resultados de Tesla para los últimos 4 trimestres."
- "¿Cómo ha cambiado el precio de Bitcoin en el último año?"

Eso es todo.

Claude Code ahora tiene acceso directo a datos financieros reales de más de 17.000 acciones, informes de ganancias, balances generales, estados de resultados, datos de flujo de caja y precios de criptomonedas.

Los analistas que pagan $24.000 al año por una Terminal Bloomberg no van a estar contentos de que esto exista.

Antes de esto necesitabas una Terminal Bloomberg o una API compleja de datos financieros o horas de investigación manual en múltiples fuentes.

Ahora necesitas un comando y 60 segundos.

Los cuantitativos, analistas y gestores de portafolios que descubran cómo combinar el razonamiento de Claude Code con el acceso a datos financieros en vivo tendrán una ventaja en investigación que se acumula cada día.

Guarda esto en favoritos antes de abrir tu próxima cuenta

[Alif Hossain @alifcoder]

Finance analysts earn $95k–$250k/year.

The ones using Claude AI close work 3x faster.

📘 Claude AI for Finance Professionals — 120+ institutional-grade prompts for equity research, DCF, fixed income, portfolio strategy, earnings analysis, and IB workflows. Excel models included.

Normally $189 → 100% FREE for 48 hrs

Like + RT + comment 'Ebook'

Must Follow me so I can DM you.

[Leonard Rodman @RodmanAi]

10 GitHub repos I found at 3am that made me cancel 4 paid subscriptions:

1. OpenClaw
https://t.co/ebzvCiuOfc

2. RAGFlow
https://t.co/54o7YdqdVK

3. Repomix
https://t.co/O2sbIuFDdD

4. Dyad
https://t.co/0J72xHP8bs

5. Letta
https://t.co/CdzwQtOfgc

6. Mem0
https://t.co/nwgygvA0z7

7. Open WebUI
https://t.co/QEkFMqcy3a

8. Langflow
https://t.co/qKK2iE4kHF

9. Spec Kit
https://t.co/4th0hCnOCY

10. Ollama
https://t.co/8O6hedEzof

[NIJ Ruvos @nahidulislam404]

Claude is used by 11 million people every day.

I've created a guide with the 100 real skills that separate the pros from the amateurs:

→ Writing, Automation, Business, Productivity, Programming, AI and Prompting, E-commerce, Finance, and Research

FREE for 24 hours only!

Just:

1. → Like this post
2. → Comment "SKILLS"
3. → Follow me to receive a DM.

[Maria Watson @maria_wats8492]

Claude Sonnet 4.6 is the smartest Al right now.

But 90% of people prompt it like ChatGPT.

That's why I made the Claude Mastery Guide:

→ How Claude thinks differently

→ Prompts built for Claude

→ 2000+ Al Prompts

Comment " Claude " and I'll DM it free.

[Rohit @heyrohitai]

CLAUDE + YouTube = $$$$.

No degree. No camera. No editing skills.

Even a 15-year-old can do this.

I'm going to show you exactly how.

12 prompts that print money on YouTube 👇