history / goal / roadmap: feed + strategy

[zhehaowang]

If we implement #31, we can

• combine feed and strategy into one binary,
• have a stream of sampled data, and
• a reasonable enough scoring mechanism

s.t.

• given a risk configuration (maxpos, flatvalue)

the binary can

• find optimal models to allocate asset on
• automatically place bids, or provide a human with high level stats and ask for confirmation

A human only needs to configure the allocation, approve the program's decisions, and ship the shoes out.

[zhehaowang]

Feed and strategy in one binary seems a bad idea. We now share some IO / logic components instead.
We should describe the current architecture, but otherwise the proposal here is revamped and implemented.