Deterministic View
When we treat a chaotic system as a static room, we need to first set up a coordinate through which we can measure the system and find
regions of interest.
Through experience there are two ways to set up the coordinate: the first way is by using the option and
the odds for each option to set up the coordinate (option, option_odds); the second way is by using a reference from the primary
market like MoneyLine to set up the coordinate (option, primary_reference).
A subspace is defined as a point (x, y) in a coordinate. The following chart allows you to check net profit of all subspaces from different systems in the Option × Option_odds coordinate.
We don't bet for many years in practice but use conditional triggers to trigger percentage betting sequences in positive regions. The conditional trigger can be a specific timing like the start or end of the season, or just one hit in that region. We decide by experience. Our goal is to get a high density winning streak in a short time. With a percentage around 20%, the ROI can climb above 10,000.
Case "2025-03 (-5~-1)" is the sequence of all bets of '-5~-1' with odds no less than 8 from 3/1/25 to 3/20/25; Case "2025-10 (<-26)" is the sequence of all bets of '<-26' with odds between 25 and 42 from 10/23/25 to 10/28/25. The principal is 1,000 dollars. The stake is a fixed percentage of the accumulated principle.
The deterministic view helps us concentrate on a handful of subspaces, and a simple conditional trigger can get us a good sequence that grows the initial principal more than 1,000-fold in a few days.
The primary market provides a reliable reference for its related chaotic systems.
Analysis content and graphics for ES system will go here...