Trading Strategies

The TAD AI trading bot uses a variety of trading strategies to generate profitable trades for its users. Here are four of the most common trading strategies used by the TAD AI trading bot ;

Trend Following Strategy

This strategy involves analyzing historical price data to identify trends in the market. The bot uses technical analysis indicators, such as moving averages, to identify upward or downward trends in the market. The bot then enters trades that align with the trend and exits trades when the trend starts to reverse.

Mean Reversion Strategy

This strategy involves identifying overbought or oversold conditions in the market. The bot uses indicators, such as the Relative Strength Index (RSI), to identify when an asset is overbought or oversold. The bot then enters trades that align with the expectation that the asset will revert back to its mean value.

News Based Strategy

This strategy involves analyzing news articles and social media sentiment to identify marketmoving events. The bot uses natural processing techniques to analyze news articles and identify sentiment related to specific assets. The bot then enters trades based on the sentiment analysis and expected market reaction.

Arbitrage Strategy

This strategy involves exploiting price discrepancies between different markets. The bot constantly monitors multiple exchanges and identifies price discrepancies for specific assets. The bot then enters trades that buy the asset on the exchange where it is cheaper and sells it on the exchange where it is more expensive.