Does RSI deeply oversold really mean a bounce (up)?

That is the common reading. This signal has fired 7 times on BTC 1d; across the most recent 7, price hit +0.25% first about 86% of the time. A historical probability, not a guarantee.

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What is RSI deeply oversold? — chart signal explained

This signal uses the same RSI gauge (buying vs. selling force over the last 14 candles, scored 0–100), but it flags the rare extreme end of it. For RSI to sink below 20, selling has to continue almost without a pause — a sign the market is close to outright fear.

When does it fire? — BaroBara criteria

It fires when the 14-candle RSI falls below 20 — one notch more extreme than the regular oversold signal at 30.

How traders usually read it

A washout this deep is often read as 'everyone who wanted to sell probably already has.' Traders tend to expect a sharper snap-back here than from ordinary oversold readings, and because the signal appears so rarely, its mere appearance draws attention.

What to watch out for

RSI collapsing below 20 usually means a serious crash or piece of bad news is in progress. In those moments, what looks like the bottom can turn out to have a basement underneath — price sometimes keeps falling well past this level. The more extreme the signal, the more dangerous it is to rush a judgment mid-drop.

What the data actually shows (BTC 1d)

⚠️ Small sample (7 past occurrences). With this few cases, the numbers below could easily be luck. Treat them as "this happened a few times", not as probabilities.

The common reading is a bounce (up) — but what actually happened matters more. This signal has fired 7 times on BTC 1d; across the most recent 7, price reached the small target (+0.25%) first about 86% of the time. Widen the target to ±1% and it becomes about 29%. A historical probability, not a guaranteed direction — and it shifts with market regime.

Odds and expected value — with symmetric target and stop (±)

Exactly the barobara framing: which side got hit first, +X% or −X%. Target and stop are set to the same %, and the win rate is how often the upside (+X%) was reached first.

Target = stop (±)	Win rate (+ first)	EV (before fees)
±0.25%	86%	+0.18%
±0.5%	29%	-0.21%
±0.75%	29%	-0.32%
±1%	29%	-0.42%
±1.5%	29%	-0.63%
±2%	29%	-0.84%

📐 How to read this. EV assumes a symmetric ±X% target and stop: EV = target × (win rate − loss rate), so any win rate above 50% gives a positive EV. Fees are NOT included — they differ by exchange and order type (maker/taker). In reality fees come off the top, and the smaller the target, the bigger the bite fees take (at ±0.25%, even modest fees eat much of the edge). Timeouts (neither side hit within the horizon) are classified by the closing side, and an asymmetric target/stop changes all of these numbers — setting-dependent references, not absolutes.

Recent occurrences

How far price actually moved the last few times this signal fired (MFE = maximum favorable excursion).

Date	MFE	Result
2018-11-16	1.45%	✅ hit 🔴 stopped
2018-11-19	0.0%	— 🔴 stopped
2019-09-26	5.41%	✅ hit
2020-03-12	0.0%	— 🔴 stopped
2023-08-18	2.94%	✅ hit
2026-02-05	14.88%	✅ hit
2026-06-03	0.97%	✅ hit 🔴 stopped

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Data: full history since 2017 · 3242 bars · ~0.1/month · win rate from the most recent 7 occurrences. For reference, not a prediction. A signal is a historical probability, not a guaranteed direction.

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