PainStaking v0.4.5 PainStaking
Calculate stakes in advantage betting situations
Summary
Types
A tuple which represents a supposed advantage wagering situation
A keyword list which configures optional parameters for staking calculators
A number tagged with a description
A keyword list with a single pair
Functions
Determine how much to bet on each of a set of mutually exclusive outcomes in an arbitrage situation
The mathematical expectations for a list of supposed edges
Determine the amount to stake on advantage situations based on the Kelly Criterion
Simulate a repeated edge situation and see the average amount won
Types
edge :: {String.t, wager_price, wager_price}
A tuple which represents a supposed advantage wagering situation.
The elements, in order:
- an edge description
- the estimate of the fair (or actual) odds of winning
- the odds offered by the counter-party to the wager
staking_options :: [bankroll: number, independent: boolean]
A keyword list which configures optional parameters for staking calculators
The keywords are:
bankroll
: the total amount available for wagering; defaults to100
independent
: mutually exclusive or independent simultaneous events; defaults tofalse
tagged_number :: {String.t, number}
A number tagged with a description
Primarily used to make it easier to collate results.
wager_price :: [{:atom, number | String.t}]
A keyword list with a single pair.
The key should be one of the atoms for a supported odds format from Exoddic. The value should be a supported way for expressing the odds for that key.
Examples:
- Probability:
[prob: 0.50]
- Moneyline:
[us: "+120"]
- Decimal:
[eu: 2.25]
- Traditional:
[uk: "4/1"]
Functions
Specs
arb([edge], staking_options) ::
{:ok, [tagged_number], float} |
{:error, String.t}
Determine how much to bet on each of a set of mutually exclusive outcomes in an arbitrage situation.
The bankroll
option can be used to set the maximum amount available to
bet on these outcomes. The smaller the arbitrage, the closer your outlay will be to this number.
The payouts may not all be exactly the same because of rounding to the nearest cent. This may cause a slight variation in the expected profit.
Specs
ev([edge], staking_options) :: {:ok, [tagged_number]}
The mathematical expectations for a list of supposed edges
A losing proposition will have an EV below the supplied bankroll
Specs
kelly([edge], staking_options) ::
{:ok, [tagged_number]} |
{:error, String.t}
Determine the amount to stake on advantage situations based on the Kelly Criterion
The output list may be in a different order or have fewer elements than the input list.
Specs
sim_win([edge], non_neg_integer, staking_options) ::
{:ok, float} |
{:error, String.t}
Simulate a repeated edge situation and see the average amount won.
iter
is the number of simulation iterations to run