Which are the good automated indicators?

<p id="isPasted">Good automated indicators are those that provide clear, rule-based signals that can be systematically tested and executed by a trading bot or algorithm. Most professional automated systems do not rely on a single "magical" indicator, but rather use an ensemble approach, combining complementary tools to filter out false signals and manage risk.&nbsp;</p><p><strong>Core Indicators for Automation</strong></p><p>These standard technical indicators are highly favored for automation because their signals (like crossovers or threshold breaches) are mathematically precise.&nbsp;</p><ul><li>Moving Averages (SMA/EMA): Used for trend identification and "Golden Cross" or "Death Cross" crossover strategies.</li><li>RSI (Relative Strength Index): Automates entry/exit based on overbought (&gt;70) or oversold (&lt;30) conditions and helps identify momentum exhaustion via divergences.</li><li>MACD (Moving Average Convergence Divergence): Combines trend following and momentum; algorithms often trigger trades when the MACD line crosses its signal line.</li><li>Bollinger Bands: Useful for mean-reversion strategies (buying at the lower band, selling at the upper) or identifying "squeezes" that precede high-volatility breakouts.</li><li>ATR (Average True Range): Critically important for automated risk management, allowing bots to dynamically adjust stop-loss distances based on current market volatility.</li><li>VWAP (Volume Weighted Average Price): A standard for institutional execution bots, ensuring trades are filled close to the day's average price to minimize market impact.&nbsp;</li></ul><p><strong>Top-Rated Community Indicators (TradingView)</strong></p><p>Beyond standard tools, highly rated community-built scripts on TradingView offer specialized logic for backtesting and automation:&nbsp;</p><ul><li>SuperTrend AI Adaptive: A trend-following strategy that uses AI to score trend flips based on factors like volume surge and displacement, filtering out low-quality signals.</li><li>Golden BOS Strategy Checklist: A mechanical on-chart framework designed for multi-timeframe traders using "Break of Structure" (BOS) and Fibonacci retracement rules.</li><li>Adaptive Trend Selector: Automatically identifies the optimal moving average crossover settings by backtesting thousands of combinations in real-time.</li><li>Lorentzian Classification: An advanced machine learning indicator that uses non-linear classification to predict future price direction based on historical patterns.&nbsp;</li></ul><p><strong>Best Practice: The "Ensemble" Strategy</strong></p><p>For robust automation, experts recommend a three-layer filter:&nbsp;</p><ul><li>Trend Filter: (e.g., Price &gt; 200-day SMA) to ensure you only trade in the direction of the macro trend.</li><li>Entry Trigger: (e.g., MACD crossover or RSI dip) to time the specific moment of entry.</li><li>Volume/Volatility Filter: (e.g., OBV rising or ATR expansion) to confirm that the move has sufficient market participation and isn't just noise.</li></ul>