Learning notes: RSI Mean-Reversion
A step-by-step walkthrough of RSI Mean-Reversion with practice on the free $100,000 simulator.
Published by TradeHQ, created by Anuga Weerasinghe. Publisher background and editorial approach. No independent professional review is claimed; any recorded source-check scope appears on the page.
What it is
A conceptual comparison of RSI thresholds and later price observations.
RSI compares smoothed recent gains and losses over a selected lookback and scales the result between zero and 100. Fourteen periods is a common setting; the interval must also be stated. Conventional threshold labels describe the calculation. They do not establish that an asset is mispriced or that a price reversal must follow.
Market conditions that matter
RSI can remain extreme during a sustained move or cross its thresholds repeatedly. Comparing samples labeled trending and ranging requires a rule for those labels that does not use future information. A second indicator shares price inputs and is not necessarily independent confirmation.
Study context
Studying how the same oscillator threshold behaves in different historical samples.
Limitations
An extreme reading can persist. Neither a threshold nor a second chart pattern proves a reversal.
The steps
- Specify a standard RSI calculation and interval using a source that supplies the necessary historical prices.
- Mark the conventional 30 and 70 thresholds as descriptions, then record all observations meeting them.
- Compare later continuation and reversal cases under the same sampling and cost assumptions.
- Treat entry and exit choices as separate hypothetical rules. TradeHQ’s RSI-style practice value is not a standard historical RSI calculation.
Worked example
Hypothetical worksheet, not an observed trade: BTC RSI dips to 26 at $92K with a bullish engulfing — buy, stop $91K, target $94K. Stop and target levels are conceptual assumptions, not resting TradeHQ orders; gaps and fees can change the result.
The numbers behind it
Hypothetical comparison: fixed realized 57% wins at 1.2R and 43% losses at 1R give 0.254R gross expectancy. Changing only the assumed win rate to 32% gives 0.32×1.2−0.68=−0.296R. These chosen inputs do not establish the observed profitability of ranging or trending markets; costs and actual fills must also be considered.
How it fails
- Treating an oscillator threshold as a mandatory buy or sell instruction.
- Assuming a candlestick pattern proves a reversal or that simulated volume validates it.
- Selecting lookbacks after seeing profitable historical outcomes without testing a separate sample.
Scope and source limitations
RSI-based results can vary sharply by market regime and rule set. Test the same rules in ranging and trending periods rather than relying on a fixed win-rate claim.
Educational simulation only — not financial advice.
Educational simulation only — not financial advice. Virtual money; no brokerage transactions. Quotes may be delayed, cached, unavailable or fixed simulator values; generated charts are labelled separately. Practice results do not predict investment outcomes.