Catch the bounce with a high frequency MTF Mean Reversion Indicator, known to our trading community simply as “MTF”.
Our MTF Mean Reversion Indicator signals when an asset is entering a potential buy zone. It can be used as a screener to identify buying opportunities and may be used to send commands to automated trading bots.
In this tutorial, you’ll learn How to set up and Optimize the MTF Mean Reversion Indicator for screening and scalping any asset.
MTF is a high-frequency mean reversion indicator that alerts you when an asset is entering a potential buy zone with a high probability to bounce. As a stand-alone indicator MTF works exceptionally well. That’s a big claim for any trading indicator, but we’ve got the data and the trades to back it up.
We’ve amassed over 30,000 MTF alerts on BTC and USDT pairs, and 92% of those signals have reached 1.25% of profitability or higher, consistently delivering profitable results to savvy traders in a 5-day window. Of course, past performance doesn’t guarantee future results and that’s why we recommend pairing MTF with Fire Charts to create a “system” for screening buying opportunities and validating that MTF signals are landing on or near support.
Aside from its exceptionally high level of performance, what makes MTF so valuable is that it can be optimized for any asset on TradingView including cryptocurrencies, stocks, and much more.
Please Remember
Material Indicators LLC is not a financial advisor and does not provide financial advice of any kind. Nothing on any Material Indicators’ websites, apps, indicators, or channels should be considered trading advice. Using Material Indicators’ tools, indicators, and resources, you agree to take responsibility for your own trades and acknowledge that Material indicators LLC does not guarantee performance and assumes no liability for your results. Trading is risky. Consult a licensed financial advisor, do your research and never risk more than you can afford to lose. Past performance does not guarantee future results.
Happy Trading 📈
