boost::time_series is available here. The review stars at the end of the month. http://boost-consulting.com/vault/index.php?directory=Math%20-%20Numerics Here are some initial questions and observations. All questions in this post are related to the simple_moving_average_functor, which I have included at the bottom of this post. I have more questions, but I thought this would be a good start. 1) A simple way to do a "simple_moving_average" is to use a std::deque, adding elements using "push_back" and removing elements using "pop_front". This technique can be used for any of the smoothing algorithms that involve a fixed number of elements. Do any of the boost::time_series containers mimic the "deque" capability to add and remove elements at both ends of the array? I used a "deque" in the sample "functor" at bottom of this post. 2) The "simple_moving_average_functor" has two functions, "finalize()" and "operator()". (see below) The second function passes in the offsets, for "start" and "stop". However, the "finalize" function does not pass any offsets. Im not shur how to integrate these "offsets" into the calculating the "moving average". The functor that I created below just ignores them. Any suggestions? 3) After calling commit(), am I not able to add any more elements to a "time_series" container. In other words, do I have to re-create the "time_series" container each time. Take for example, the case when Im calculating the "simple_moving_average" over a period of 10 days. As I move through the data set, all that I need to do is add another datat-point, and then remove the last data point. To re-populate the "time_series" container each time would be non-optimal. I wonder if "time_series" container could release that data, and let me start adding/removing elements to it again? 4) Do "range_run_storage::transform" and "range_run_storage::for_each" support lambdas? The example using "range_run_storage::transform" might look like this: boost::range_run_storage::transform(series1, series2, boost::lambda::_1 + boost::lambda::_2, inserter); Example using "std::transform" std::transform(series1.begin(),series1.end(),series2.begin(), boost::lambda::_1 + boost::lambda::_2, std::back_inserter(series3)); 5) What is the prefered method to do simple math against the elements in a "time_series" container. Say for example I wanted to multiply the number 1.10 against each element. How would I do this using boost::range_run_storage::for_each(). The example might look like this: boost::range_run_storage::for_each(series1, boost::lambda::_1 * boost::lambda::constant(1.10)); Example using "std::for_each" std::for_each(series1.begin(),series1.end(), boost::lambda::_1 * boost::lambda::constant(1.10)); template<typename out_t, typename series_t> struct simple_moving_average_functor { std::size_t periods; std::deque<double> data; out_t out; simple_moving_average_functor(const out_t& out, std::size_t periods, const series_t& series) : out(out), periods(periods){} template <typename value_t, typename offset_t> void operator ()(const value_t& value, offset_t start, offset_t stop) { if (data.size() < periods) { data.push_back(value); return; } double sum = 0; std::for_each(data.begin(),data.end(), boost::lambda::var(sum) += boost::lambda::_1); out(sum/periods, start,stop); data.pop_front(); data.push_back(value); } out_t const &finalize() { double sum = 0; std::for_each(data.begin(),data.end(), boost::lambda::var(sum) += boost::lambda::_1); return out(sum/periods); } };