Archived — below our codifiability bar

Stock Screener with AI using Claude Code and Financial APIs

Learn to build a powerful stock screener like TradingView using AI (Claude Code) and financial APIs. Covers stock search, charts, fundamental and technical filt

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 65%

This strategy was decoded from a public trading video but did not clear Strategy Decoder's codifiability bar: the extraction could not pin the rules down precisely enough to be turned into a reviewable specification. It is kept here as a reference post-mortem rather than as a strategy you can trade or backtest.

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: educational
  • Timeframes: Daily, Weekly, Monthly, Yearly
  • Markets: Stocks

Indicators mentioned

  • Moving Average

Why this strategy was archived

A stock screener is a filter, not a trade plan: it narrows a universe of equities down to the names that meet a set of conditions — moving-average alignment, trend direction, or multi-timeframe agreement — so a trader can spend attention where the criteria already hold. This entry decodes PythonIA's video "Cómo crear un Stock Screener con IA usando Claude Code y APIs financieras", which walks through building exactly that kind of tool with AI-assisted coding and financial data APIs, screening stocks across daily, weekly, monthly and yearly timeframes.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. The structural pieces are there — moving averages as the screening indicator, a clearly multi-timeframe frame, equities as the universe — but the conditions are referenced rather than specified: which averages and periods define a qualifying candidate, how the timeframes must agree, and what happens after a name passes the filter are not pinned down precisely enough to automate without guesswork. There is also a category gap worth naming honestly: a screener produces a watchlist, and a watchlist is not yet a strategy — entry timing, stop placement and exit logic sit outside the video's scope by design. An entry we cannot code faithfully does not belong in the active catalog.

**What it still offers.** The video's value is in the build, and that value is real: it shows how to wire a financial data API to an AI coding workflow and turn a screening idea into working software, which is the part most traders stall on. If your bottleneck is tooling rather than rules — getting price data in, expressing conditions in code, iterating quickly — this is a useful tutorial, and the multi-timeframe framing is a sound way to think about trend filters. For the missing half, the Moving Averages concept hub and the active catalog list entries where full entry and exit rules were successfully extracted; pairing a screener like this one with a decoded rule set is the natural next step.

Source video

Decoded from: Cómo crear un Stock Screener con IA usando Claude Code y APIs financieras by PythonIA — watch the original

Key timestamps:

  • 0:00 - Introduction to AI-powered financial app creation
  • 0:40 - Demo of the stock screener application
  • 1:10 - Viewing main metrics for a company (e.g., Microsoft)
  • 1:40 - Fundamental metrics (Market Cap, EBITDA, Revenue, Gross Profit, EPS)
  • 2:00 - Technical details (Beta, 50-day moving average)
  • 2:20 - Screener functionality with filters (e.g., Mega Cap)
  • 3:00 - AI Query feature for natural language filtering (e.g., 'high growth, no debt')
  • 3:50 - Strategic thinking for application development
  • 4:10 - Initial prompt for Claude Code
  • 4:30 - Technology stack (React, Tailwind, Richarts/TradingView LightCharts, Python FastAPI, EODHD API)
  • 5:00 - Key features requested in the prompt
  • 5:40 - EODHD API Key setup
  • 6:20 - Running frontend and backend
  • 7:00 - Asking Claude for improvements (watchlist, price alerts, stock comparison, news, candle charts)
  • 8:40 - Implementing candle chart functionality with AI
  • 10:00 - Debugging and re-running the application
  • 11:00 - Successful implementation of candle charts

Frequently asked questions

Why is this stock screener entry archived?

Our extraction scored it below the codifiability bar. The video identifies moving averages and a multi-timeframe stock universe, but it does not specify the screening conditions or any entry, stop and exit logic precisely enough to code and backtest without guesswork.

Is a stock screener the same as a trading strategy?

No. A screener filters a universe down to candidates that meet certain conditions — it produces a watchlist. A strategy adds what a screener leaves open: when to enter, where the stop sits, and how the position is closed.

Is the video still worth watching?

Yes, as a build tutorial. It covers connecting financial APIs and using AI-assisted coding to turn a screening idea into a working tool, which is a practical skill regardless of which rule set you eventually screen for.

Where can I find codifiable moving-average strategies on Strategy Decoder?

The Moving Averages concept hub and the active catalog list decoded video strategies with complete entry and exit rules extracted.

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