It seems like here are some rules and parameters for a cryptocurrency trading bot. These rules dictate how the bot should behave based on different timeframes (minute, hourly, and daily) and forecasted trends.

Here are some observations about the provided information:

  1. Efficiency Range Selection: You can specify an efficiency range for example of 65% to 80% for selecting currencies. This means the bot will only consider coins whose forecasting efficiency falls within this range.

  2. Forecasted Trends: You can see estimated trends by AI for each timeframe (minute, hourly, and daily). For example, a forecasted trend of 0.07% for the minute timeframe, -2.34% for the hourly timeframe, and -18.33% for the daily timeframe.

  3. Blocking Positions: The bot can be set to block opening LONG positions when the forecasted trend falls below a certain value and block opening SHORT positions when the forecasted trend exceeds a certain value.

    • For example, for the minute trend, LONG positions are blocked if the forecasted trend is below 0.02% and SHORT positions are blocked if the forecasted trend is above -0.02%.

    • Similarly, for the hourly trend, LONG positions are blocked if the forecasted trend is below 2.00% and SHORT positions are blocked if the forecasted trend is above -2.00%.

    • For the daily trend, LONG positions are blocked if the forecasted trend is below -100.00% and SHORT positions are blocked if the forecasted trend is above 100.00%.

Overall, these rules suggest a conservative approach. The bot is designed to be cautious, avoiding trades that may be considered riskier due to the forecasted trends.


The "forecasted trend" is based on future time series data, then this would imply that you have a predictive model in place that generates these forecasts.

Given that the forecasted trends are based on future data by Intralogic Trading Bot and some form of predictive analytics or machine learning to make these predictions. This can potentially provide a more accurate basis for making trading decisions compared to using historical data alone.