OscarGrindStrat

model.entities.customers.OscarGrindStrat

See theOscarGrindStrat companion object

case class OscarGrindStrat[A <: Bankroll[A] & CustomerState[A]](baseBet: Double, betAmount: Double, startingBankroll: Double, lossStreak: Int, option: List[Int]) extends BettingStrategy[A]

Implements the Oscar's Grind betting strategy. Aims for a single unit profit per cycle, adjusting bets based on wins and losses.

Type parameters

baseBet: The base unit bet amount.
betAmount: The current bet amount for the next round.
lossStreak: The current number of consecutive losses (not always used directly in bet calculation for Oscar Grind).
option: Game-specific options for the bet.
startingBankroll: The bankroll at the start of the current Oscar Grind cycle.

Companion: object
Graph
Supertypes: trait Serializable

trait Product

trait Equals

trait BettingStrategy[A]

class Object

trait Matchable

class Any
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Returns the type of this betting strategy.

Generates a game-specific bet for Oscar's Grind strategy. Currently supports Roulette and Blackjack.

Returns: A Bet object.
Throws: MatchError
if the customer state is not Playing or game type is unsupported.
Definition Classes: BettingStrategy

Updates the Oscar's Grind strategy's state based on the game result. Logic:

If current bankroll exceeds startingBankroll, cycle profit achieved: reset betAmount to baseBet, update startingBankroll.
If result is positive (win) and no profit goal reached: increase betAmount by baseBet.
If result is zero (push): state remains unchanged.
If result is negative (loss): increment lossStreak (betAmount remains constant).

Checks preconditions before placing a bet. Throws a require error if the bet amount exceeds bankroll or if the customer is not in a Playing state.

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