A breakout engine that maps key price levels and range boundaries to time long/short entries. Adaptive filters suppress noise in low‑volatility markets, aiming to catch the first impulse of a new trend.
32 Trading Strategies
including two universal strategies suitable for most crypto assets. These strategies are adaptable to various market conditions and are beneficial for traders dealing with a wide range of assets.
Take-Profit Levels
are predefined price points where traders can set to automatically close a portion of their position to secure profits as the market moves in their favor.
Automated trading
also known as algorithmic trading or algo-trading, refers to the use of computer programs and algorithms to execute trades in financial markets without direct human intervention.
Real-Time Back-Test Panel
is a tool or interface that allows traders and investors to simulate and evaluate the performance of trading strategies using historical market data in real-time.