ALMA + MACD Strategy: Why This Works Better (Real Backtest Results) скачать в хорошем качестве

ALMA + MACD Strategy: Why This Works Better (Real Backtest Results)

#alma #macd #strategy ''ALMA'' ''MACD'' ''Strategy ALMA + MACD Strategy: Why This Works Better (Real Backtest Results) ► Freqtrade Tutorials:   / start-here-with-116351367   ► This Strategy File:   / 146764520   🔔 Subscribe for more videos just like this →    / @quanttactics   In this video, I reveal a powerful trading strategy that catches market trends far more effectively than a standard moving average. You’ll learn how this strategy performs through detailed backtesting results, so you can see exactly how it works in real market conditions. This strategy combines two powerful technical indicators: the ALMA (Arnaud Legoux Moving Average) and the MACD (Moving Average Convergence Divergence). The ALMA acts as the core entry signal, while the MACD provides momentum confirmation to avoid fake moves and low win-rate trades. The Arnaud Legoux Moving Average (ALMA) is designed to balance smoothness and responsiveness, making it excellent for identifying the overall trend direction. In this video, I explain how to tune ALMA using its three key settings: length, sigma, and offset. You’ll learn how a longer length filters out noise to reveal the big picture trend, while a shorter length reacts faster to recent price movements. I also explain how sigma affects focus and smoothness, and how offset controls timing and responsiveness to current prices. The most reliable buy signals occur when price crosses above the ALMA line, signaling strong momentum and an underlying trend shift. However, trading ALMA alone can lead to fake breakouts. That’s why we add MACD confirmation. The strategy requires the MACD line to cross above the signal line, confirming upward momentum before entering a trade. For the exit strategy, we use the ATR (Average True Range) to manage risk. The stop loss is set at three times the ATR, and the take profit is set at 2.5 times the risk, creating a strong risk-to-reward ratio. To validate the strategy, I run a full backtest on BCH futures using the 1-hour timeframe, with an 8-month optimization period and a 4-month out-of-sample test. The technical setup uses Freqtrade, an open-source Python trading bot, perfect for algorithmic and quantitative trading. A full Freqtrade course is linked in the description for those who want to learn how to use it. The results speak for themselves. The strategy achieved a 155% total return, significantly outperforming the market’s 52% return over the same period. The maximum drawdown stayed low at 13%, showing excellent risk control. During the out-of-sample test, the strategy continued to perform strongly, gaining around 50% and moving steadily higher. The full trading code is available for supporters via the link below. If you’re interested in algorithmic trading, crypto futures trading, trend-following strategies, or quantitative trading with Python, this video is for you. Don’t forget to like, subscribe, and check out my other trading strategies for more profitable trading ideas. Thanks for watching, and I’ll see you in the next video. 🔔 Subscribe for more videos just like this →    / @quanttactics   Chapters 00:00 - Introduction and Strategy Overview 00:29 - ALMA Indicator Basics 02:12 - MACD for Momentum Confirmation 02:39 - Entry and Exit Rules 03:33 - Backtesting Methodology 03:58 - Performance Results Follow QuantTactics: =============================== Patreon:   / quanttactics   Medium:   / quanttactics   ⚠️ This content is for educational purposes only and does not constitute financial advice.