{"id":22330,"date":"2025-11-06T13:30:57","date_gmt":"2025-11-06T21:30:57","guid":{"rendered":"https:\/\/www.cannontrading.com\/tools\/support-resistance-levels\/?p=22330"},"modified":"2025-11-06T13:30:57","modified_gmt":"2025-11-06T21:30:57","slug":"bands","status":"publish","type":"post","link":"https:\/\/www.cannontrading.com\/tools\/support-resistance-levels\/bands\/","title":{"rendered":"Time Average Bands vs. Bollinger Bands, December Natural Gas, NEW WEBINAR NEXT WEEK, Levels, Reports; Your 5 Vital Need-To-Knows For Trading Futures on November 7th, 2025"},"content":{"rendered":"\n\n\n
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Time Average Bands<\/h1>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

At-a-Glance Levels<\/h1>\n
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Instrument<\/th>\nS2<\/th>\nS1<\/th>\nPivot<\/th>\nR1<\/th>\nR2<\/th>\n<\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
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Gold (GC)<\/strong><\/h2>\n

\u2014 Dec (GCZ5)<\/td>\n

3941.53<\/td>\n3965.37<\/td>\n3997.03<\/td>\n4020.87<\/td>\n4052.53<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
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Silver (SI)<\/strong><\/h2>\n

\u2014 Dec (SIZ5)<\/td>\n

46.76<\/td>\n47.31<\/td>\n47.96<\/td>\n48.52<\/td>\n49.17<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
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Crude Oil (CL)<\/strong><\/h2>\n

\u2014 Dec (CLZ5)<\/td>\n

57.95<\/td>\n58.76<\/td>\n59.63<\/td>\n60.44<\/td>\n61.31<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
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\u00a0Dec. Bonds (ZB)<\/strong><\/h2>\n

\u2014 Dec (ZBZ5)<\/td>\n

115 31\/32<\/td>\n116 20\/32<\/td>\n117 1\/32<\/td>\n117 22\/32<\/td>\n118 3\/32<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
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Time Average Bands<\/h1>\n

Shaun Downey \u2013 www.cqg.com\u00a0sign up for a free demo!<\/a><\/em><\/h3>\n

\"bands\"<\/p>\n

Definition<\/h2>\n

The average range for each bar’s time of day is computed over a user-defined period. For example, on a 30-minute chart, the 12 p.m. bar has its range calculated over the last n days. Then the highest and lowest value of range for that time of day is computed over a much larger sample of bars. The difference between the current range is recorded against the highest and lowest range, and depending on the difference, an exponential moving average is calculated.<\/p>\n

This average is given a user-defined minimum and maximum range which in the examples in the chapter are between a three and twenty-one period. The conclusion is that if, range is narrow in relationship to the history of that time of day, the average slows, but if range is large, the average speeds up. Due to the often-large differences in range between consecutive intraday bars the differences in the speed of the average from one bar to the next can be considerable.<\/p>\n

Comparison with Adaptive Moving Averages<\/h2>\n

The performance of the average has similar characteristics to an adaptive moving average in that it will speed up when price trends (especially if range expands for the time of day as well) and slows down in sideways action. The adaptive average will often lose all movement in sideways and move horizontally. In a trend they can behave in contrasting fashion.<\/p>\n

Adaptive averages will simply accelerate with a trend whilst the Time Average will do likewise in association with the time of day. This means there will be times when it is more sensitive than the Adaptive and others when it is slower.<\/p>\n

The other key difference is that because the Time Average is always looking back to the previous period’s time of day the current bar’s average is already computed and does not move when we look at the current bar. This means there is always a fixed reference point.<\/p>\n

Concept of a moving average that adjusted based on the:<\/em><\/h4>\n