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PEV Forecast
Understanding PEV Forecast
- The PEV Forecast refers to the prediction of future price movements based on historical data analysis.
- It utilizes advanced statistical techniques such as Singular Spectral Analysis (SSA) to capture underlying trends while filtering out noise.
- PEV (Price Extreme Value) assessment contributes to making informed trading decisions, especially crucial in volatile markets. π
Methodology Behind PEV Forecast
- Data Fragment: The method analyzes a specific length of historical price data, which should ideally range between 200 to 600 data points for optimal accuracy.
- Signal vs. Noise: The PEV Forecast effectively separates the 'signal' (actual price trend) from 'noise', enhancing the quality of the forecast.
- Adaptive Models: The model is adaptive, meaning it recalculates based on recent data to maintain accuracy in predictions. π―
Usage in Trading Strategies
- The PEV Forecast aids in formulating hedging strategies, providing traders with a clearer view of potential price movements.
- Traders should manage the indicator parameters to fine-tune the trend's smoothness according to market conditions.
- It is advised to use the PEV Forecast in combination with other indicators for better validation of trade signals.
Integration with Trading Robots
- Trading robots like EASY Trendopedia and others can incorporate the PEV Forecast to automate trading strategies effectively.
- Using machine learning techniques, some robots can enhance their predictive capabilities by continuously learning from historical data trends.
- Examples like the Monte Carlo method can be utilized in trading systems to improve prediction models that align with the PEV Forecast. π€
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