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The percentage change in price from the beginning to the end of the analyzed period.
Indicates the overall market direction during the period. Positive values suggest bullish sentiment, while negative values indicate bearish sentiment.
Classification of the current market condition based on the Average Directional Index (ADX).
Helps traders select appropriate strategies - trend-following in trending markets, range-bound in ranging markets.
Overall market psychology based on RSI readings and price action.
Helps gauge whether the market is driven by greed or fear, indicating potential reversals when extreme.
Percentage of volume from market buy orders (aggressive buyers).
Difference between buy and sell volume from market orders.
Overall sentiment based on taker activity:
Number of trades significantly larger than average (2 standard deviations above mean trade size).
Taker volume shows aggressive market participation. Consistent buying suggests strong bullish conviction, while selling indicates bearish pressure. Large trades often represent institutional activity.
The 1-hour period with the highest trading volume during the day.
Average difference between the daily high and low prices.
Percentage difference between weekend trading volume and weekday volume.
Number of periods with volatility significantly higher than average (2 × ATR).
Helps identify optimal trading times and days. Crypto markets often show different patterns on weekends vs weekdays.
Measure of distribution asymmetry:
Measure of "tailedness" or outlier potential:
Probability of extreme price movements beyond 2 standard deviations.
Helps understand risk characteristics - positive skew favors buyers, negative skew favors sellers, high kurtosis indicates higher risk of extreme moves.
Market is in a strong bullish trend with ADX at 32. Consider entering long positions on pullbacks to support levels.
High kurtosis (4.2) detected indicating increased risk of large price movements. Reduce position sizes and use tighter stop losses.