Archived — below our codifiability bar
Python, Streamlit, EODHD API Dashboard
Learn how to build an interactive stock market dashboard using Python, Streamlit, and the EODHD API. Fetch and visualize daily, weekly, and monthly stock data.
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: Candlestick Patterns
- Methodology: Technical Indicators
- Content type: educational
- Timeframes: Daily, Weekly, Monthly
- Markets: Stocks
Indicators mentioned
- Candlestick Chart
Why this strategy was archived
A market dashboard is the layer that sits underneath a systematic process rather than inside it: data pulled from a provider, cleaned, and rendered as candlestick charts across daily, weekly and monthly views so a stock can be assessed at more than one horizon. This entry decodes PythonIA's video on building exactly that — a Streamlit application in Python wired to the EODHD API for tracking equities.
**Why this entry is archived.** Our extraction identified structure — technical-indicator methodology, candlestick charting, a daily/weekly/monthly timeframe stack, and a stock universe — but no complete rule set behind it. Conditions are referenced in passing rather than specified precisely enough to automate without guesswork: there is no objective entry trigger, no exit or stop logic, and no risk framework that could be coded and backtested faithfully. That scored below the codifiability bar we require for the active catalog, which is a statement about what our extractor found, not about the quality of the material.
**What it still offers.** The video's value sits one level below strategy, and it is real: how to connect a Python environment to an end-of-day data API, structure the response, and render multi-timeframe candlestick views in Streamlit without a paid charting platform. If you intend to systematize your own rules, tooling like this is the part most retail traders never build — and the honest reading of this entry is that the dashboard is the deliverable, the strategy is left to the viewer. For entries where full entry and exit rules were extracted, see the active catalog and the technical-indicator concept hubs.
Source video
Decoded from: 🔴 ¿Cómo Crear un Dashboard en Streamlit con Python y API EODHD para Seguimiento de Acciones? by PythonIA — watch the original
Key timestamps:
- 0:00 - Introduction to the project
- 0:40 - EODHD API documentation overview
- 1:50 - Setting up Python libraries (Streamlit, requests, pandas, plotly)
- 2:20 - Retrieving historical data using EODHD API
- 3:40 - Retrieving fundamental data using EODHD API
- 5:40 - Building the Streamlit dashboard structure
- 6:30 - Creating interactive elements (stock selector, date range)
- 7:00 - Displaying candlestick charts
- 8:00 - Displaying fundamental metrics
- 8:45 - Running the Streamlit application
Frequently asked questions
Why is this Streamlit dashboard entry archived?
Our extraction found methodology and structure — candlestick charts, daily/weekly/monthly timeframes, a stock focus — but no complete, automatable rule set. Entry, exit and risk conditions are not specified precisely enough to code without guesswork, so it scored below our codifiability bar.
Is the video still worth watching?
Yes, as build material rather than strategy material. It walks through connecting Python and Streamlit to the EODHD API and rendering multi-timeframe candlestick views, which is useful infrastructure if you plan to test rules of your own.
What is a Streamlit trading dashboard used for?
It is a lightweight Python web app for pulling market data from an API and visualizing it — here, candlestick charts on daily, weekly and monthly views for stock tracking. It is a monitoring and research layer, not a trading system by itself.
Where can I find codifiable technical-indicator strategies?
The active catalog and the technical-indicator concept hubs list decoded video strategies where complete entry and exit rules were successfully extracted.
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