VWAP Strategy

Explore a VWAP trading strategy for S&P 500 stocks on a daily timeframe. Learn entry rules when price crosses the VWAP line for buy/sell signals.

Published · Updated · Methodology: Technical Indicators

Part of: VWAP Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Daily (inferred from backtesting period and stock data)
  • Markets: S&P 500 stocks

Indicators used

  • VWAP

Source video

Decoded from: 📈Probé una Estrategia de Trading en 50 acciones del S&P 500 by PythonIA — watch the original

Key timestamps:

  • 0:00 - Introduction to backtesting and VWAP strategy
  • 1:10 - Explanation of VWAP indicator
  • 1:50 - VWAP entry/exit signals on TradingView example
  • 2:10 - Mention of backtesting on 50 largest US companies
  • 2:40 - API for data extraction (EODHD)
  • 3:40 - Python code structure and API key setup
  • 4:40 - Data extraction function
  • 5:20 - VWAP calculation in Python
  • 5:50 - Strategy entry/exit points definition
  • 6:10 - Backtest execution and metric calculation
  • 6:40 - Review of Excel results (returns, drawdown, Sharpe ratio)
  • 7:10 - Discussion of strategy profitability and drawdown

Strategy overview

VWAP — the volume-weighted average price — is the average price paid over a period with every trade weighted by the size behind it, which is why it reads as a fair-value line rather than a smoothing of price alone. What distinguishes this entry is scope: instead of illustrating VWAP on one chart, PythonIA's video "📈Probé una Estrategia de Trading en 50 acciones del S&P 500" applies a VWAP-based idea across 50 of the largest US companies at once, treating breadth as the point of the exercise. Testing one rule across a wide sample of large caps is a different question from testing it on a favourite symbol: it asks whether the behaviour generalises, not whether it worked somewhere.

Most of the video is plumbing rather than signal design, and that is its practical value. VWAP here is not dragged onto a chart from an indicator menu — it is computed directly from price and volume in Python, with the historical data pulled through the EODHD API and a walkthrough of the API key setup and code structure. A brief TradingView example around the 1:50 mark shows what the entry and exit signals look like visually before the code takes over, so the charting platform serves as illustration while the actual test lives in the script. For anyone who wants to run their own multi-symbol study, the data pipeline and the hand-rolled indicator are the transferable parts.

Two honest caveats belong on this page. VWAP is conventionally a session-anchored intraday tool, and the material here works from daily stock data, which changes what the line is averaging — yet the anchoring and reset period are never specified in the source, and that choice quietly determines the whole result. No rule set was extracted from this video, so this entry documents the concept and the approach the video takes rather than a decoded set of entry, exit and risk conditions. The video is narrated in Spanish; the code and data sources are language-agnostic.

Topics

vwap strategy · vwap trading · trading strategy · technical indicators · s&p 500 stocks · daily trading · stock trading strategy · tradingview strategy · pine script

Frequently asked questions

Why test a VWAP strategy across 50 stocks instead of one?

Running the same rule over a broad sample of large-cap names tests whether the behaviour generalises rather than whether it happened to work on one symbol. A single-instrument result can come from luck or from a particular stock's character; a wide sample makes that harder to mistake for an edge.

Is VWAP an intraday indicator or can it be used on daily data?

VWAP is conventionally anchored to a trading session and used intraday, where it reflects the average price paid so far that day. Applied over daily bars it becomes a longer-horizon volume-weighted average, which measures something different. The source video does not specify its anchoring or reset period, so that decision is left open.

What do I need to backtest a VWAP strategy in Python myself?

Historical price and volume data — the video uses the EODHD API, which requires an API key — plus a manual VWAP calculation from those two series. No charting platform indicator is required; the video walks through the code structure for exactly this setup.

Does this page contain the video's exact trading rules?

No rule set was extracted from this source, so this entry covers the VWAP concept and the approach the video takes rather than specific entry, exit or risk conditions. Strategy Decoder extracts structured rules from video sources when the source defines them clearly enough to do so.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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