Those team members work alongside a technology team led by people with backgrounds at IBM Watson and experience providing open-source analytics to retail investors. Morgan, Morgan Stanley, and retail houses like Charles Schwab. The minds behind Token Metrics are a powerhouse of finance and blockchain professionals who have a background at major investment banks like Goldman Sachs, J.P. The combination of AI and human analysis allows investors to adapt strategies for bull and bear markets. Using machine learning, the algorithms are continuously improving and getting smarter. Token Metrics offers crypto market intelligence powered by AI and human analysts. This strategy performs well in choppy or range-bound markets but may not be effective in strong trending markets.Founded in 2018 and headquartered in Austin, TX, Token Metrics is an AI-driven cryptocurrency research company that uses artificial intelligence to build crypto indices, rankings, and price predictions. High-frequency trading is a mean-reverting strategy best suited for 15-minute, 30-minute, and 1-hour timeframes. This strategy works well in trending markets but may produce false signals in choppy or range-bound markets. Long-term trading is a trend-following strategy best suited for daily and weekly timeframes. The look-back periods change according to the strategy time frame, offering a flexible and dynamic approach to market analysis. This uses adaptive Donchian channels to determine the previous short-term swing high and low, providing insight into where short-term resistance or support might be forming and where breakouts can occur. The Token Metrics Channels indicator is a top/bottom indicator that adjusts to current levels of volatility. The Token Metrics Signals indicator provides long, short, and close signals, indicating when to enter and exit long or short positions based on the TM trend-following strategy. This can also be used for long-term resistance and support levels, providing a comprehensive overview of the current market situation for both long-term and high-frequency traders. The Token Metrics Trendline is a long-term indicator that uses an adaptive moving average to identify long-term trends. Token Metrics Clouds incorporates a bullish / bearish trend indicator, which uses two adaptive moving averages that adapt to volatility, reducing false trend signals during range-bound environments and providing a more accurate representation of market trends. The Stop-loss input allows users to control their risk tolerance, with a default value of 8% for long-term trading and 2% for high-frequency trading. The Adjustment Factor input has a default value of 0.1 and can be adjusted to adapt to changing levels of volatility. The Length input allows users to control the indicator’s sensitivity, with a default value of 20 bars for long-term trading and 9 bars for high-frequency trading. This provides flexible investment risk management, allowing you to assign different stop-loss percentages to different trading strategies. A fixed stop-loss is used for long-term trading, while a trading stop-loss is used for high-frequency trading. The methods for calculating fixed stop-losses vary depending on the trading pattern. It is important to note that the backtesting performance does not indicate future results. Users can backtest the signals to understand the strategy's historical performance, learn how to use it, identify its pros and cons, and determine the market conditions it best suits. It combines multiple indicators, including Token Metrics Clouds, Token Metrics Trend Lines, Token Metrics Channels, and signals, to give a comprehensive outlook on the market trend and potential entry/exit points. The Token Metrics Combined Indicator v2 is a comprehensive technical analysis tool designed to output Long/Short signals for crypto assets on TradingView.
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