

The core of successful trading lies not in win rate, but in the expectancy of the risk-reward ratio. This article explores a "Triple-Filter" strategy combining SuperTrend, EMA120, and CCI Stochastic. By utilizing Heikin Ashi candles to filter market noise, this system excels in capturing trends with high risk-reward profiles.
Many traders obsess over win rates while neglecting the fundamental necessity of a high risk-reward ratio. The "Triple-Filter" strategy discussed today relies on multi-dimensional confirmation to build a robust trading model designed for high expectancy.
SuperTrend serves as the first filter, responsible for identifying the macro trend direction. Green represents an uptrend, and red represents a downtrend.
At the same time, we need to replace the traditional candlestick chart with Heikin Ashi. The core function of Heikin Ashi is to smooth price fluctuations and filter out many false signals generated by market noise. Compared to traditional candlesticks, Heikin Ashi presents trend continuity more clearly and reduces false judgments during ranging markets.

EMA120 (120-period Exponential Moving Average) serves as the second filter, providing a structural defense line for the long-term trend.
The rule is simple and non-negotiable: Only go long when price is above EMA120; only go short when price is below EMA120.
The purpose of this filter is to prevent counter-trend trading. Even if SuperTrend and Heikin Ashi show strong rebound signals, if that rebound occurs below EMA120, the strategy will treat it as a technical rebound in a bear market rather than a trend reversal, and no long entry will be triggered.
CCI Stochastic combines the strengths of both CCI (Commodity Channel Index) and the Stochastic Oscillator, specifically designed to capture trend turning points in short-term overbought and oversold zones.
Requiring "two consecutive arrows" rather than a single arrow filters out false reversal signals during extreme market conditions. A single arrow may be just brief market noise; two consecutive arrows indicate that momentum reversal has received initial confirmation, significantly improving signal reliability.
Accounting for trading costs (0.01% commission per transaction), backtesting results across various assets indicate the following performance profiles:

Bitcoin (BTC): Low win rate, but a steady upward-sloping equity curve with minimal drawdown.
S&P 500 (SPX): Exceptional performance; low drawdown typical of high risk-reward systems.
Silver (Spot): 309% return in the 1H timeframe with effectively zero maximum drawdown (-0.00%).
*The above all have a 1-hour (1H) cycle / period.
This strategy demonstrates consistent excellence across multiple asset classes on the 1-hour timeframe, making it ideal for capturing medium-to-long-term trends. The key to implementation lies in the strict execution of the triple-filter criteria and the discipline to remain sidelined when market conditions fail to meet these structural requirements.