VWAP Trading Strategy

Learn a simple VWAP trading strategy designed for BTCUSDT, focusing on price action relative to the Volume Weighted Average Price.

Published · Updated · Methodology: Technical Indicators

Part of: VWAP Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Markets: BTCUSDT

Indicators used

  • VWAP

Source video

Decoded from: VWAP Trading Strategy (84% Win Rate Backtested on BTCUSDT) by Trade With AM — watch the original

Strategy overview

VWAP — the volume-weighted average price — marks the average price paid over a period weighted by the volume transacted at each level, which is why traders read it as a fair-value line rather than as another smoothing of price. What distinguishes this entry from other VWAP material is where it plants its flag: Trade With AM's video leads with a number, titled "VWAP Trading Strategy (84% Win Rate Backtested on BTCUSDT)", committing to one instrument and one performance statistic before a single rule is named.

That framing deserves to be read carefully rather than dismissed or swallowed. A win rate is the least self-sufficient statistic in trading: it describes how often a system is right and nothing about how much it makes when right or loses when wrong, so a high hit rate paired with oversized losers can still bleed an account. The figure is the channel's own backtest as stated in its title — the sample size, the date range, the fee and funding assumptions, the sizing and the exit logic are what would turn it from a headline into evidence. It is a claim to reproduce, not a result to inherit.

The choice of BTCUSDT also puts pressure on VWAP's oldest assumption. VWAP was built for markets with a bell: it resets at the session open and accumulates through the day, which is exactly what makes it meaningful to the institutional flow it was designed to benchmark. A perpetual crypto pair never closes, so someone must decide what "the session" is — a daily UTC roll, a rolling window, a manual anchor at a swing high or low — and that single decision moves the line more than any entry filter layered on top of it. No rule set, timeframe or anchoring choice was extracted for this entry, so this page covers the concept and the source video's framing rather than a mechanical breakdown.

Topics

vwap trading strategy · btc trading strategy · pine script · tradingview strategy · technical indicators · trading strategy · crypto trading strategy · btc trading

Frequently asked questions

Does VWAP work on a 24/7 market like BTCUSDT?

VWAP can be plotted on any market, but it was designed around a session that opens and closes. A perpetual pair such as BTCUSDT has no natural reset, so the trader has to impose one — a daily UTC roll, a rolling lookback, or an anchor placed manually at a swing point — and that choice determines where the line sits and what it means.

What does an "84% win rate" actually tell you about a strategy?

On its own, very little. Win rate only becomes informative alongside the average win versus average loss, the number of trades, the period tested and the trading costs included, since a strategy can win most of its trades and still lose money. The 84% figure here comes from Trade With AM's own video title and is not independently verified.

Is VWAP a trend-following tool or a mean-reversion tool?

Both readings are common and they are not the same strategy. Price holding above or below VWAP is usually read as a directional bias, while price stretched far from VWAP is read as an extension likely to revert toward it. Pinning down which of the two a given VWAP strategy is built on is the first thing to establish.

How should I evaluate a backtested claim from a video before trading it?

Rebuild the rules yourself and test them on the same instrument and period, with realistic fees, slippage and funding costs, then check whether the results hold outside that window. Strategy Decoder catalogs strategies from video sources so you can compare what a video claims with what its structure actually supports.

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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