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Trading: I Tested The Viral Claude Day Trader Repo (11 Free Skills)

Watch on YouTube: https://www.youtube.com/watch?v=e2Wnnu07sIw

Channel: Miles Deutscher Finance and AI Edge

Testing the Viral Claude Day Trader Repository: 11 Free Skills Ranked

A GitHub repository with 6.5K stars promises to turn Claude into a full‑stack trading companion. Miles Deutscher put the 11 free “skills” through their paces, ranking them from least to most useful for day‑trading workflows. The result is a practical look at what an AI‑augmented trading stack can—and cannot—do today.

What the Video Covers

The repo packages 11 distinct Claude skills, each designed to handle a specific slice of the trading process: data ingestion, risk control, execution, and post‑trade analysis. Miles walks through the list in reverse order, starting with the weakest link and ending with the standout feature.

  • 11. Pelosi Tracker – Pulls congressional trade disclosures, but the data often lags by 45 days, limiting day‑trade relevance.
  • 10. Earnings Analyst – Parses SEC filings for earnings cues; better suited for swing or position holds than intraday setups.
  • 9. Order Executor – Builds trade tickets with stop‑loss and take‑profit levels; tested against Alpaca paper trading.
  • 8. Budget Manager – Calculates position size and risk/reward based on portfolio equity.
  • 7. News Monitor – Scrapes Yahoo Finance and SEC feeds; optional paid tiers from FMP or Quiver add depth.
  • 6. Risk Manager – Runs pre‑trade risk checks before any order reaches the broker.
  • 5. Exit Planner – Defines profit targets and stop logic before entry.
  • 4. Entry Timer – Uses opening‑range breakouts (first 15 minutes) to trigger entries.
  • 3. Chart Scanner – Scanned 5,933 U.S. stocks and surfaced 146 opening‑range breakout candidates.
  • 2. Trader Time Machine – Backtests a complete plan against 10,000 historical runs, reporting target‑hit, stop‑hit, and neither rates.

Step‑by‑Step Walkthrough

Miles demonstrates the end‑to‑end flow using the Claude interface (Fable 5.2 model) and a VPS such as Hermes or Hostinger for always‑on operation. The typical sequence:

  1. Install the 11 skills via the one‑prompt setup guide (available in the free School community asset library).
  2. Configure the Chart Scanner to run a universe scan—e.g., all 5,933 U.S. names—and collect opening‑range breakout signals.
  3. Feed promising tickers into the Trader Time Machine. For Oracle, the backtest showed the target hit 9.1 % of runs, the stop hit 39 %, and neither 51.9 %.
  4. Pass the vetted setup to the Risk Manager and Budget Manager for position‑sizing and risk‑budget approval.
  5. Generate an order ticket with the Order Executor and route it to Alpaca paper trading for live‑simulation validation.
  6. Monitor the trade with the Exit Planner and News Monitor for real‑time catalyst awareness.

Tools & Numbers at a Glance

  • GitHub repo: 6.5K stars
  • AI model: Claude (Fable 5.2)
  • Paper broker: Alpaca
  • Charting reference: TradingView
  • VPS options: Hermes, Hostinger
  • Paid data add‑ons: FMP, Quiver
  • Scan universe: 5,933 U.S. stocks → 146 breakouts
  • Backtest depth: 10,000 historical runs per setup
  • Example outcome (Oracle): Target 9.1 %, Stop 39 %, Neither 51.9 %

Caveats & Hype Check

It’s like having a quant in your pocket. This is essentially now going to be your companion.

The video leans heavily on the “cheat code” narrative and funnels viewers toward a free School community and asset library—classic affiliate‑style lead capture. No verified profit‑and‑loss statements are shown; all performance figures come from simulated backtests, not live capital. Day trading remains high‑risk, and the 10,000‑run backtest, while statistically interesting, does not guarantee future results. Data latency (e.g., 45‑day congressional disclosures) and reliance on free news feeds further limit real‑time edge.

Concrete Next Actions

  • Join the free School community and download the one‑prompt setup guide from the asset library.
  • Paste the install prompts into Claude to activate all 11 day‑trading skills.
  • Run the Trader Time Machine on a liquid ticker (e.g., Oracle) to stress‑test entry/exit logic before committing capital.
  • Open an Alpaca paper‑trading account and connect the Order Executor and Risk Manager for safe live‑simulation.
  • Build a skill stack: price alerts → risk check → budget manager → order executor → exit planner, and iterate on one strategy at a time.