Скачать или смотреть Schaff Trend Cycle (STC) Trading Strategy Indicator | Algorithmic Trading With Python

The Schaff Trend Cycle (STC) is a powerful and advanced indicator for identifying market trends in algorithmic trading. Unlike traditional indicators, the STC combines the speed of the MACD (Moving Average Convergence Divergence) with the cyclic behavior of stochastic oscillators, making it exceptionally fast in detecting trends. The STC uses a double-smoothed EMA (Exponential Moving Average) and cycles to generate buy and sell signals, making it highly effective in various market conditions.

0:01:00 - Introduction to the Channel and STC
Overview of the Scarf Trend Cycle (STC), how it's different from traditional indicators, and its usefulness for identifying market cycles.

0:02:00 - Understanding STC with MACD
Explanation of the limitations of MACD and how the cycle component improves the STC indicator.

0:03:00 - Analyzing the STC Signals
Interpreting the STC signals with examples, and understanding how the STC oscillates between 0 and 100, similar to RSI.

0:05:00 - Calculating Returns and Strategy
Demonstrating how to calculate market returns and STC strategy returns, with emphasis on cumulative strategy.

0:08:00 - Comparing Market and STC Returns
Comparing STC strategy returns with market returns and discussing the importance of consistent returns in algorithmic trading.

0:08:25 - Conclusion
Summary of the tutorial and final remarks about the STC strategy.


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