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Candlestick patterns / Bullish engulfing
// bullish reversal · two candles

Bullish engulfing: what it is and how to trade it.

A bullish engulfing pattern is a two-candle reversal: a small red bar followed by a larger green bar whose body completely covers the previous one. It says: yesterday's sellers are today's exhausted bystanders, and buyers just took the controls.

// shape
  • Bar 1: a red (down) candle in an existing downtrend.
  • Bar 2: a green (up) candle whose body opens at or below bar 1's close and closes above bar 1's open.
  • The second body fully covers the first — the "engulf."
  • Bigger second body = stronger signal.
// what it signals

What an engulfing actually means.

The pattern tells a clean story across two bars. In the first bar, sellers had control — price closed lower, bears were in charge. In the second bar, sellers tried again at the open, but buyers stepped in with enough force to reverse the move and close above where the prior bar opened. That's a complete intraday rejection of yesterday's bias.

The reason traders take engulfing patterns more seriously than single candles: it's harder to fake. A long lower wick on one candle can be liquidity-driven noise. A full body engulf takes real, sustained buying pressure across the entire bar. Bigger bodies and higher volume on the second bar are the strength signals.

Best context: a defined downtrend that's reaching a known support level (recent swing low, moving average, prior range floor) with RSI in oversold territory. The engulfing fires at the level and the bias flips — that's a tradeable setup.

// when it fails

When the engulfing doesn't work.

// how thesis uses it

How Thesis trades bullish engulfings.

Engulfing detection is straightforward — body comparison plus a directional check. The hard part is everything that comes after: is the trend actually reversing, or are we engulfing in chop? Is RSI confirming, or is this counter-momentum noise? Is there a news event about to invalidate the setup?

Thesis fires bullish engulfing detection on every 1-hour close, runs the candidate through a fee-aware risk pre-filter, then hands a full context packet to an AI reasoning layer that returns a take/skip with confidence. See how the AI layer works.

// related patterns

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