Archived — below our codifiability bar

RSI, Moving Averages, Bollinger Bands, MACD, ATR, ADX, Stochastic Oscillator

Learn to automate technical indicator calculations using Python and pandas_ta library. Extract financial data, compute RSI, MACD, Bollinger Bands, and more for

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 30%

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: Intraday (mentioned for Alpha Vantage data)
  • Markets: Forex, Cryptocurrency, Commodities, Stocks (Apple example)

Indicators mentioned

  • RSI
  • Moving Average
  • Bollinger Bands
  • MACD
  • ATR
  • ADX
  • Stochastic Oscillator

Why this strategy was archived

RSI, moving averages, Bollinger Bands, MACD, ATR, ADX and the Stochastic Oscillator form the standard toolkit of technical analysis — momentum, trend, volatility and strength measured from the same price series. This entry decodes PythonIA's video "¿Cómo AUTOMATIZAR el cálculo de indicadores técnicos? | BOT de Trading con Python", which shows how to compute that whole battery programmatically in Python over market data pulled from an API, using intraday series and an Apple example, with the same code applying to forex, crypto and commodities.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. The technical scaffolding is all there — the indicators are named, the data source and intraday granularity are explicit, and the calculation layer is demonstrated end to end — but the trading logic on top of it is not. There is no precise entry condition, no confirmation or exit rule, no stop or target definition; the indicators are computed, not combined into a decision. An entry that would require us to guess the rules is not one we can code faithfully, so it does not belong in the active catalog.

**What it still offers.** Considerable value, just not of the kind our extractor indexes. This is infrastructure teaching: how to fetch price data, compute a full indicator set reliably in Python, and produce the signal inputs any bot needs before strategy logic is written. If you are building the data layer of an automated system, that is the hard, unglamorous half most strategy videos skip entirely. Treat this as implementation material — and see the active catalog and the indicator-based concept hubs for entries where the rules sitting on top of these indicators were fully extracted.

Source video

Decoded from: 👉¿Cómo AUTOMATIZAR el cálculo de indicadores técnicos? | BOT de Trading con Python by PythonIA — watch the original

Key timestamps:

  • 0:00 - Introduction to automating indicator calculation
  • 0:30 - Alpha Vantage API for data extraction
  • 2:00 - Setting up API key and data extraction function
  • 3:00 - Data processing and filtering
  • 4:00 - Introduction to pandas_ta library for indicators
  • 5:00 - Defining indicator calculation function
  • 6:00 - Overview of indicators available in pandas_ta
  • 7:00 - Example of calculated indicators output

Frequently asked questions

Why is this technical indicators entry archived?

The video demonstrates how to calculate RSI, moving averages, Bollinger Bands, MACD, ATR, ADX and the Stochastic Oscillator in Python, but it does not define entry, exit or risk rules built on them. Our extraction scored it below the codifiability bar we require for the active catalog.

Is the video still worth watching?

Yes — as implementation material. It covers the data and calculation layer of an automated trading bot: pulling market data from an API and computing a full indicator set programmatically, which is a prerequisite for running any codified strategy.

Which indicators and markets does it cover?

RSI, moving averages, Bollinger Bands, MACD, ATR, ADX and the Stochastic Oscillator, computed on intraday data. The approach is market-agnostic — the video references forex, cryptocurrency, commodities and stocks, using Apple as the worked example.

Where can I find codifiable indicator strategies?

The active catalog and the indicator-oriented concept hubs list decoded video strategies where complete entry, exit and risk rules were successfully extracted.

Other archived strategies

Browse all archived strategies · Explore the strategies that did make the cut