RSI Overbought / Oversold Strategy
The textbook RSI strategy — buy when oversold (RSI < 30), sell when overbought (RSI > 70). Best in sideways markets.
Quick Facts
- Type:
- Mean Reversion
- Plan:
- Free
- Asset Classes:
- Crypto · Stocks · ETF · Commodities · Forex
- Indicators:
- RSI
Platform Backtest
ⓘ- CAGR
- +15.1%
- Win Rate
- 67%
- Max DD
- -50%
Default parameters · BTCUSDT · 1d · 4 years · B&H +18.1%
How It Works
This is the canonical RSI strategy described in J. Welles Wilder's 1978 book New Concepts in Technical Trading Systems. The Relative Strength Index oscillates between 0 and 100 — measuring whether recent price action has been dominated by gains or losses.
Entry signal: when the RSI drops below the oversold threshold (default 30), the asset is considered statistically oversold — a buy signal.
Exit signal: when the RSI rises above the overbought threshold (default 70), the asset is considered overbought — a sell signal.
The core assumption is mean reversion: that prices revert towards their average after extreme moves. This works beautifully in sideways and ranging markets but breaks down in strong trends, where the RSI can stay above 70 for weeks while the asset keeps grinding higher (or below 30 while it crashes further). For trending markets, consider RSI/SMA Cross instead — it adapts to changing conditions.
Entry & Exit Rules
Entry
- ●RSI drops below the Oversold threshold
- ●Position is currently flat
Exit
- ●RSI rises above the Overbought threshold
- ●Position is currently long
Parameters
| Name | Default | Range | Description |
|---|---|---|---|
| RSI Period | 14 | 2–50 | Number of candles for RSI calculation. Default 14, the canonical Wilder value. |
| Oversold Level | 30 | 5–50 | RSI value below which a buy signal fires. Default 30. Lower = stricter, fewer trades. |
| Overbought Level | 70 | 50–95 | RSI value above which a sell signal fires. Default 70. Higher = let winners run longer. |
Live Backtest
BTCUSDT · 1d · 4 years · default parameters · refreshed daily
Run with my own parameters →Pseudo-Code
expand
// Entry
if RSI(rsi_period) < oversold:
if position.is_flat:
BUY
// Exit
if RSI(rsi_period) > overbought:
if position.is_long:
SELLStrengths & Weaknesses
Strengths
- ●Simple and well-known — easy to validate against literature
- ●Works on all asset classes
- ●Pure mean-reversion, distinct from trend strategies
- ●Default 14/30/70 values are battle-tested since 1978
Weaknesses
- ●Breaks down in trending markets — RSI can stay extreme for weeks
- ●False signals during strong moves (e.g. blow-off tops)
- ●No exit signal if RSI never rebounds above overbought — position can be held indefinitely
- ●Fixed thresholds don't adapt to volatility regimes
Frequently Asked Questions
When does this strategy fail?
Strong directional trends are the killer. In a sustained bull market, the RSI can stay above 70 for months — you sell early and watch the price keep rising without you. In a crash, RSI can stay below 30 while the asset drops further. Combine with a trend filter (200 WMA, ATR Volatility) on Pro+ plans to avoid trading against strong regimes.
Should I use 30/70 or different thresholds?
30/70 are the literature defaults and a good starting point. Some traders prefer 20/80 for stricter entries (fewer but higher-conviction trades), or 25/75 as a middle ground. For volatile assets like Bitcoin, slightly stricter thresholds (e.g. 25/75) often filter noise better.
How does this differ from RSI/SMA Cross?
Both use the RSI but in fundamentally different ways. This strategy uses fixed thresholds (30/70) — pure mean reversion. RSI/SMA Cross uses a dynamic threshold (the SMA of the RSI itself), which adapts to market conditions and works better in trending markets. They're complementary, not alternatives.
Related Strategies
RSI / SMA Cross
A momentum signal that triggers when the RSI crosses its own moving average — combining oversold detection with trend confirmation.
Stoch-RSI / SMA Cross
A faster RSI variant — the Stochastic RSI crosses its own moving average. More trades, more sensitivity, ideal for active markets.
EMA Trend Bias
Two EMAs plus an ATR-based neutral zone — like the commercial Larsson Line, but tunable, transparent, and backtested. Choose your bias.
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