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ETH Trading Strategy Combines Gaussian Channel with Stochastic RSI

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A new trading strategy for Ethereum (ETH) has been developed by cs_lev on TradingView, combining a Gaussian Channel filter with a Stochastic RSI indicator and a 200-day Simple Moving Average (SMA) gate. The strategy aims to capture trend continuation while avoiding confirmed downtrends.

The Gaussian Channel is a smoothed price envelope built using an Infinite Impulse Response (IIR) filter, which applies a bell-curve weighting across recent bars to produce smooth and low-lag output. This channel turns green when the filter is rising (uptrend) and red when it is falling (downtrend).

The 200-day SMA acts as a bull/bear regime switch, only allowing trades when price is above it. A long position is opened when all five conditions are met: the channel is green, price closes above the upper band, Stochastic RSI %K is either above 80 or below 25, and price is above the 200-day SMA.

The strategy also includes an optional stop-loss at the lower band, which trails as the channel moves. The regime gate exists to block bear-bounce false starts, but it can also mean the strategy misses the first leg of a genuine new uptrend until price reclaims the 200-day SMA.

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Disclaimer: Guavy is a data and market intelligence provider, not an investment advisor. The information, signals, and market analysis provided by the Guavy API and related services are for informational purposes only and are not intended as financial advice, investment recommendations, or an endorsement of any particular trading strategy. Trading in volatile markets, including cryptocurrency, carries significant risk and may not be suitable for all investors. Past performance is not indicative of future results. Users should consult with a qualified financial professional before making any investment decisions. Guavy makes no guarantee of trading profits or financial returns.

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