Does RSI oversold really mean a bounce (up)?

That is the common reading. This signal has fired 351 times on APT 1h; across the most recent 300, price hit +0.25% first about 46% of the time. A historical probability, not a guarantee.

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What is RSI oversold? — chart signal explained

RSI compares how strongly price has risen versus fallen over the last 14 candles and boils it down to a single number between 0 and 100. Big gains push it toward 100, big losses toward 0. Think of it as a thermometer for how one-sided recent selling or buying has been.

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When does it fire? — BaroBara criteria

On barobara, this signal lights up when the 14-candle RSI drops below 30.

How traders usually read it

Many traders treat readings under 30 as a zone where too much selling happened too fast. The hope is that sellers are running out of steam and price might bounce back, which is why this is a go-to signal for people hunting for rebound spots.

What to watch out for

In a strong downtrend, RSI can sit in oversold territory for a long time while price keeps falling. Below 30 doesn't mean a bounce is coming — it only means a lot of selling already happened. Check the historical stats to see how often it actually worked out.

What the data actually shows (APT 1h)

The common reading is a bounce (up) — but what actually happened matters more. This signal has fired 351 times on APT 1h; across the most recent 300, price reached the small target (+0.25%) first about 46% of the time. Widen the target to ±1% and it becomes about 49%. 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%	46%	-0.02%
±0.5%	50%	+0.00%
±0.75%	50%	+0.00%
±1%	49%	-0.02%
±1.5%	45%	-0.15%
±2%	48%	-0.08%

📐 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.

Broken down by market regime

⚠️ This table uses a different basis than the symmetric (±) table above — a small +0.25% target with a wide −2.5% stop (fees included). The small target makes the win rate look high while EV is often negative — exactly what signal groups hide. And the same signal behaves differently across regimes.

Regime	Win rate (+0.25% target)	EV (−2.5% stop)	Sample
Bear market	87%	-0.19%	N=135
Sideways	83%	-0.29%	N=113
Bull market	81%	-0.35%	N=94

Recent occurrences

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

Date	MFE	Result
2026-07-27	0.84%	✅ hit 🔴 stopped
2026-07-28	2.07%	✅ hit 🔴 stopped
2026-07-29	1.4%	✅ hit 🔴 stopped
2026-07-29	3.04%	✅ hit
2026-08-11	2.1%	✅ hit
2026-08-12	1.41%	✅ hit
2026-08-12	2.52%	✅ hit
2026-08-14	0.73%	✅ hit 🔴 stopped

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Data: full history · 23209 bars · ~10.9/month · win rate from the most recent 300 occurrences. For reference, not a prediction. A signal is a historical probability, not a guaranteed direction.

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