DCA analysis meta tracker

[Autoparallel]

We need to do the following for DCA analysis. First things first, let's just have the pool go from 1% to 99% so that we don't have to worry about endpoints (this should be another issue). This will be using the G3M strategy and the set_weight() function.

• Create a working DCA weight changing agent. They should set the weight to start at 1% and move to 99% and vice versa. #143
• Analyze the portfolio value function for DCA agent (i.e., create some reusable graphing techniques that can display performance for later on). #144
• Create a swapper agent that that uses N trades to complete a DCA. #145
• Compare performance of G3M DCA agent against a swapper DCA agent (i.e., create more graphs here that can display performance comparison) #146
• Examine the differences in various market conditions. Start with market drift up/down/sideways, low/high vol. #147
• Create the start of a "prospectus" for the DCA strategy with these insights. #148

[0xJepsen]

See #179 for some user stories we want for the prospectus