Revertium500 Strategy (Bollinger Bands)
Discover the Revertium500 mean reversion strategy for S&P500 futures. Uses Bollinger Bands to identify overbought/oversold conditions and daily entries.
Published · Updated · Methodology: Technical Indicators
Part of: Bollinger Bands Strategies
- Methodology: Technical Indicators
- Content type: strategy
- Timeframes: Daily
- Markets: S&P500 Futures
Indicators used
- Bollinger Bands
Source video
Decoded from: Reglas de trading para la estrategia Revertium500 sobre el S&P500 by SMQuantum — watch the original
Key timestamps:
- 0:00 - Introduction to Revertium500 strategy
- 2:00 - Visualizing the strategy on AmiBroker
- 2:20 - Bollinger Bands setup (MA 30, 2 StdDev)
- 3:45 - Core idea: price reverts to the mean
- 4:00 - Short entry rule example
- 4:20 - Short exit rule example
- 6:00 - Long entry rule example
- 6:40 - Long exit rule example
- 8:00 - Risk management: volatility-based position sizing
- 9:00 - Calculating daily volatility and contracts
- 10:00 - Backtesting and optimization results
- 12:00 - Performance metrics (CAR, Recovery Factor, Sharpe Ratio, MaxDD)
Strategy overview
Bollinger Bands measure how far price has strayed from its own moving average in units of standard deviation, which makes them a natural fit for mean-reversion systems that bet on stretched prices coming back. What sets this entry apart is the packaging: Revertium500 is presented as a named, self-contained system built for one instrument — the S&P 500 — on daily bars, rather than as a general chart-reading technique you apply wherever the bands look interesting.
The source is SMQuantum's Spanish-language video "Reglas de trading para la estrategia Revertium500 sobre el S&P500", and its shape is a walkthrough of a finished system, not an introduction to band theory. The author moves quickly into AmiBroker to show the strategy on the index itself, spends time on how the envelope is configured — using a mean measured over a longer window than the textbook default, which slows the bands down and makes "stretched" a rarer condition — then states the premise plainly (price reverts to the mean) before demonstrating the short side, entry and exit, on the chart.
That short-side emphasis is the detail worth sitting with. Fading upside extension on an index with a long-term upward drift is a harder proposition than fading a downside flush, and a daily timeframe means each signal is a multi-day commitment rather than an intraday touch-and-go. No rule set has been extracted for this entry, so this page covers the concept and the source rather than a decoded breakdown — the video remains the reference for how SMQuantum defines the system.
Topics
revertium500 · bollinger bands strategy · mean reversion strategy · s&p500 futures strategy · trading strategy · daily trading · pine script · tradingview strategy · technical indicators · spx trading strategy · es futures strategy · bollinger bands trading
Frequently asked questions
What is the Revertium500 strategy?
It is a named mean-reversion system presented by the SMQuantum channel for the S&P 500 on the daily timeframe, using Bollinger Bands to define when price has stretched far enough from its moving average to expect a move back toward it.
How are Bollinger Bands used in a mean-reversion strategy?
The bands sit a set number of standard deviations above and below a moving average, so a touch or close beyond a band flags price as statistically stretched relative to its recent range. Mean-reversion systems treat that stretch as the signal and the moving average itself as the natural reference for where price is expected to travel back to.
Why apply Bollinger Band mean reversion on a daily timeframe instead of intraday?
Daily bars produce far fewer signals and each position is held across days rather than minutes, which changes both the trade frequency and the risk profile. A longer averaging window on daily data also makes band excursions less common, so the setup is designed around patience rather than volume of trades.
Are the exact rules of Revertium500 available on this page?
No decoded rule set has been extracted for this strategy, so this entry covers the underlying concept and the source video rather than a full mechanical breakdown. Strategy Decoder catalogs strategies like this one so you can find the original source and evaluate the approach before testing anything yourself.
About this strategy page
This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.
Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.
Other versions of this strategy
- Volatility Squeeze Indicator Strategy — Ali Casey | StatOasis
- Bollinger Bands Squeeze, Volatility Squeeze — Ali Casey | StatOasis
- Linear Regression Bands Strategy — Ali Casey | StatOasis
- EURUSD Daytrading Strategy — Rubén Martínez
- Bollinger Bands, Price Action — Ashish Kyal, Author
- Bollinger Bands Strategy — Etienne Crete - Desire To TRADE