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Latest Analyses(7)

7 Free GitHub Repos That Turn Claude Into a $500K Quant Trader
Miles Deutscher Finance|16. Sept.

7 Free GitHub Repos That Turn Claude Into a $500K Quant Trader

🚀 7 GitHub Repos That Turn Claude Into a $500K Quant Trader

This video showcases seven GitHub repositories that transform Claude into a powerful tool for AI-driven trading and investing. The ultimate goal is a seamless workflow from chart reading to research and automated trade execution.

🔌 MCPs (Model Context Protocols) – Data & Analysis

  • OpenBB: An open-source data platform akin to a free Bloomberg Terminal, providing data on stocks, crypto, options, and macroeconomics. Claude can query, e.g., last 30 days of Bitcoin price & US 10-year Treasury yields. (73.1K stars)
  • TradingView MCP: Connects Claude to TradingView charts. It can draw support and resistance zones, create custom indicators, scan your watchlist, and backtest strategies.
  • Alpaca MCP: The execution layer – enables placing trades (e.g., buy Nvidia) via a paper or live trading account. Conditional orders (e.g., stop-loss) are also supported.

🤖 AI Trading Repos – Agents & Strategies

  • Fincept Terminal: A desktop research terminal (C++) featuring a screener, portfolio tracker, news, and an AI chat. Its standout feature is the quant lab for discovering & optimizing algorithmic strategies. (32K stars)
  • Multi-market Stock Analysis System (Chinese Repo): An automated notification system for your watchlist/portfolio. It analyzes prices, news, and fundamentals, assigns a rating (buy, hold, sell) to each asset, and sends reports via Telegram or email. (65.1K stars)
  • Trading Agents: A multi-agent LLM framework simulating an entire trading firm. Specialized agents for fundamental analysis, sentiment, technicals, risk management, and portfolio management engage in dynamic discussions to output a final trading decision.
  • AI Hedge Fund: Features 14 agents modeled on legendary investors (Warren Buffett, Ray Dalio, Charlie Munger). Each agent evaluates stocks based on that investor's philosophy and provides a weighted signal. Enables comparisons and backtesting.

Conclusion: Combining these repos lets Claude go from data ingestion (OpenBB) to chart analysis (TradingView) and research (AI Hedge Fund), all the way to automated execution (Alpaca). This technology is evolving rapidly – a key step to staying ahead in AI trading.

Pourovers Made Stupid Easy
Lance Hedrick|20. Sept.

Pourovers Made Stupid Easy

Challenges of Traditional Pourovers
  • Many variables affect extraction: pouring speed, height, laminar vs. turbulent flow, contact points, etc.
  • Even seemingly consistent pouring often leads to inconsistent results.
Introducing the Gabby Drip Master A
  • A device that maintains constant water flow – regardless of pouring technique.
  • Consists of a water reservoir and a chamber below with a dispersion screen.
  • Water accumulates and drips at a steady, predictable rate (max. ~1.5 g/s) onto the coffee bed.
  • Similar to a Melodrip, but with fixed flow – no speeding up or slowing down.
Advantages Over Bare Kettle Pouring
  • Prevents clogging: Gentle saturation reduces fines migration, improving filtration.
  • Cleaner cups: The coffee bed acts as an additional filter, enhancing clarity and reducing bitterness.
  • Reproducibility: One variable (pour rate) is eliminated; focus shifts to grind size and water temperature.
Tested Recipes
  1. Bare kettle bloom (15 g coffee, 60 g water), then Gabby for the rest (165 g)
    • Water temperature: 88 °C → drops to ~78 °C during brew.
    • Brew time: about 3 minutes.
    • Result: 1.3 TDS, 16% extraction – preferred for light roasts, emphasizing floral and acidic notes.
  2. Finer grind, same recipe
    • Extraction rises to 20.5% with 1.65 TDS.
    • More body and sweetness, but less nuance.
  3. Single pour (12 g coffee, 200 g water) – to emulate cupping
    • Water temperature 83 °C, very coarse grind, well-rested coffee required.
    • Extraction approx. 17% at 1.15 TDS – very clear flavor separation.
Conclusion
  • The Gabby Drip Master A is a tool for consistency – ideal for quality control or when you want to ditch the gooseneck kettle.
  • Personal favorite: bloom with bare kettle, then use Gabby – yields the most balanced cups.
  • Low extraction (around 16%) is preferred to highlight complexity and vibrancy, but higher extractions are easily achieved with a finer grind.
DEATH AT DAWN ... A SINGLE GREAT MYSTERY ... The Case of Liz Barraza
WhatPadiLoves|20. Sept.

DEATH AT DAWN ... A SINGLE GREAT MYSTERY ... The Case of Liz Barraza

Introduction

The case of Liz Barraza: On January 25, 2019, the 29-year-old was shot dead in front of her house in Tomball, Texas. Despite video footage and extensive investigations, the murder remains unsolved.

Timeline of the Crime
  • Early morning: Liz is preparing a garage sale; her husband Sergio leaves for work at 6:48 AM.
  • 6:47 AM: A dark Nissan Frontier (2013–2019) parks nearby; a disguised person gets out.
  • Shots: After a brief conversation (Liz says a friendly
How To ACTUALLY Retire Your Bloodline With Crypto
Coin Bureau|20. Sept.

How To ACTUALLY Retire Your Bloodline With Crypto

đź’° Generational Wealth with Crypto: How to Build & Preserve It

This video explains how to actually build and preserve multi-generational wealth using crypto. It highlights the key differences between wealth creation and wealth preservation, offering a clear strategy.

🔍 The Four Critical Questions for Project Selection

  • Real users? Does the project have active users?
  • Reason to exist? Would it be missed if it disappeared?
  • Demand independent of token price? Does utility remain during sideways markets?
  • Value flow to the token? Is there a mechanical reason the token benefits?

Examples:

  • Hyperliquid: Strong fee revenue ($419M in H1 2026), automatic buybacks. A real "cash flow" asset.
  • Zcash: Minimal revenue, focused on private payments with fixed supply. Seen as "insurance against Bitcoin" (Naval Ravikant). Both pass the test of demand independent of price.

📉 Psychology and Risk Management

  • Concentration over fragmentation: Holding 30 assets is like lottery tickets. Own a few strong projects.
  • Drawdowns are normal: Bitcoin and Ethereum have historically dropped over 80%. Those without conviction sell at the bottom.
  • Don't marry old favorites: New cycles reward new projects. Example: Cardano (ADA) never reclaimed its 2021 high, while Robinhood Chain attracted billions in volume within two months.

⚖️ Attack vs. Defense: The Right Balance

  • Early stage: Higher risk for big gains (aggression).
  • Later stage: More Bitcoin as a base (compressing drawdowns: from 93% to 53%). Bitcoin allocation should increase as portfolio grows.
  • Take profits: No one knows the exact top. Scale out gradually.
  • Never go to zero: Position size so you can't be wiped out.

🏛️ Estate & Family Planning

  • Single key = single point of failure: Up to 3.8M Bitcoin are already lost. Legal structures (trusts, wills) and tax planning are essential.
  • Williams Group study: 70% of wealth is gone by the second generation, 90% by the third. Main reasons: lack of communication (60%) and unprepared heirs (25%).
  • History lesson: Rockefeller used trusts and preserved billions. Vanderbilt trusted judgment alone – the wealth vanished within a few generations.

Conclusion: With patience, a repeatable process, and smart structures, crypto can truly create generational wealth. Avoiding psychological pitfalls and reducing risk in time offers the best chances.