Fibonacci Player Class

This section will describe a player who has an internal state that can be modeled using methods and simple values instead of state objects.

This is a variation on the Martingale System. See Martingale Player Design for more information.

In Fibonacci Player Analysis we’ll look at what this player does.

We’ll turn to how the player works in PlayerFibonacci Design.

In Fibonacci Player Deliverables we’ll enumerate the deliverables for this player.

Fibonacci Player Analysis

A player could use the Fibonacci Sequence to structure a series of bets in a kind of cancellation system. The Fibonacci Sequence is

At each loss, the sum of the previous two bets is used, which is the next number in the sequence. In the event of a win, we revert to the basic bet.

Example. Here’s an example of the Fibonacci system.

1. Bet 1. A win.

2. Bet 1. A loss. The next value in the sequence is 1.

3. Bet 1. A loss. The next value in the sequence is 2.

4. Bet 2. A loss. The next value in the sequence will be 3

5. Bet 3. In the event of a loss, the next bet is 5. Otherwise, the bet is 1.

State. In order to compute the Fibonacci sequence, we need to retain the two previous bets as the player’s state. In the event of a win, we revert to the basic bet value of 1.

In the event of a loss, we can update the two numbers to show the next step in the sequence. The player’s state is defined by these two numeric values.

PlayerFibonacci Design

class PlayerFibonacci

PlayerFibonacci uses the Fibonacci betting system. This player allocates their available budget into a sequence of bets that have an accelerating potential gain.

Fields

PlayerFibonacci.recent

This is the most recent bet amount. Initially, this is 1.

PlayerFibonacci.previous

This is the bet amount previous to the most recent bet amount. Initially, this is zero.

Constructors

PlayerFibonacci.__init__(self, table: Table) → None

Initialize the Fibonacci player.

Parameters

table (Table) – The Table object which will accept the bets.

Methods

PlayerFibonacci.win(self, bet: Bet) → None

Parameters

bet (Bet) – The bet which won

Uses the superclass method to update the stake with an amount won. It resets recent and previous to their initial values of 1 and 0.

PlayerFibonacci.lose(self, bet: Bet) → None

Uses the superclass method to update the stake with an amount lost. This will go “forwards” in the sequence. It updates recent and previous as follows.

Parameters

bet (Bet) – The Bet which lost.

Fibonacci Player Deliverables

There are three deliverables for this exercise.

• The PlayerFibonacci class.

• A unit test of the PlayerFibonacci class. This test should synthesize a fixed list of Outcome instances, Bin instances, and calls a PlayerFibonacci instance with various sequences of reds and blacks. There are 16 different sequences of four winning and losing bets. These range from four losses in a row to four wins in a row. This should be sufficient to exercise the class and see the changes in the bet amount.

• An update to the overall Simulator that uses the PlayerFibonacci.

Looking Forward

We’ve looked at a number of individual class design and construction techniques. At this point, we have a comprehensive simulation of the game of Roulette with a variety of betting strategies. We can run simulations of the various techniques and learn the house always wins. The open question is how large is the house’s edge.

In the next chapter, we’ll wrap up this game by observing some OO design principles and design patterns. This will set the stage for tackling the next game, Craps.