Archived — below our codifiability bar

EODHD API, AnyChart, SMA, EMA, RSI, MACD Dashboard

Learn to build an interactive financial dashboard using EODHD API and AnyChart. Integrate SMA, EMA, RSI, and MACD for comprehensive market analysis across stock

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 45%

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: EMA Strategies

  • Methodology: Technical Indicators
  • Content type: educational
  • Timeframes: Scalable/Customizable (mentioned for interactive chart)
  • Markets: Stocks, ETFs, Indices, Forex

Why this strategy was archived

SMA, EMA, RSI and MACD are the standard indicator toolkit of technical analysis — two trend-following averages, a momentum oscillator and a momentum/trend hybrid. This entry corresponds to PythonIA's step-by-step walkthrough of building an interactive trading dashboard that pulls market data from the EODHD API and renders it in AnyChart, with those indicators plotted over stocks, ETFs, indices and forex on a chart timeframe the user can change.

**Why this entry is archived.** Our extraction found structure — a named indicator set and a configurable, scalable chart — but not a complete rule set. The video's center of gravity is the build: requesting data from the API, computing the indicators, and wiring them into the chart. Entry triggers, exits, stops and sizing are present only at the level of what each indicator conventionally suggests, not specified precisely enough to automate without guesswork. Our extraction scored it below the codifiability bar we require for the active catalog. That is a statement about what our extractor could recover, not about the merit of the video.

**What it still offers.** Its value is engineering value, and it is real: a reproducible path from a vendor market-data API to a working indicator dashboard is exactly the infrastructure most retail traders lack before they can test anything at all. If you want a chart environment you control — one where you can eventually overlay your own logic across several instrument classes — this walkthrough covers ground that strategy videos usually assume you already have. For the rule sets themselves, see the moving-average and momentum-indicator concept hubs in the active catalog, where entries carry fully extracted entry and exit logic.

Source video

Decoded from: 📊 Cómo Crear un Dashboard de Trading Interactivo con EODHD + AnyChart [Paso a Paso] by PythonIA — watch the original

Frequently asked questions

Why is this EODHD + AnyChart dashboard entry archived?

The source video is a technical build tutorial rather than a strategy: it names indicators (SMA, EMA, RSI, MACD) and a configurable chart timeframe, but defines no complete entry, exit or risk rules. Our extraction scored it below the codifiability bar required for the active catalog.

What does the video actually cover?

How to build an interactive trading dashboard — fetching market data through the EODHD API and rendering it with AnyChart, including SMA, EMA, RSI and MACD, across stocks, ETFs, indices and forex.

Is it still useful if I want to trade systematically?

Yes, as tooling groundwork. A dashboard that reliably pulls data and computes standard indicators is the environment in which you test rules — it just isn't a rule set on its own.

Where can I find codifiable SMA, EMA, RSI or MACD strategies?

The moving-average and momentum-indicator concept hubs list decoded video strategies where full entry and exit conditions were successfully extracted.

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