2022-07-10 18:05:44 +00:00
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import { sum, groupBy, mapValues, sumBy } from 'lodash'
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import { LimitBet } from './bet'
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2022-03-15 22:27:51 +00:00
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2022-07-08 16:34:16 +00:00
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import { CREATOR_FEE, Fees, LIQUIDITY_FEE, PLATFORM_FEE } from './fees'
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2022-04-30 16:24:24 +00:00
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import { LiquidityProvision } from './liquidity-provision'
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2022-07-10 18:05:44 +00:00
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import { computeFills } from './new-bet'
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import { binarySearch } from './util/algos'
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2022-04-30 16:24:24 +00:00
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import { addObjects } from './util/object'
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2022-07-10 18:05:44 +00:00
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export type CpmmState = {
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pool: { [outcome: string]: number }
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p: number
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}
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2022-03-15 22:27:51 +00:00
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export function getCpmmProbability(
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pool: { [outcome: string]: number },
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p: number
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) {
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const { YES, NO } = pool
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return (p * NO) / ((1 - p) * YES + p * NO)
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}
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export function getCpmmProbabilityAfterBetBeforeFees(
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state: CpmmState,
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outcome: string,
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bet: number
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) {
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const { pool, p } = state
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const shares = calculateCpmmShares(pool, p, bet, outcome)
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const { YES: y, NO: n } = pool
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const [newY, newN] =
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outcome === 'YES'
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? [y - shares + bet, n + bet]
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: [y + bet, n - shares + bet]
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return getCpmmProbability({ YES: newY, NO: newN }, p)
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}
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export function getCpmmOutcomeProbabilityAfterBet(
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state: CpmmState,
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outcome: string,
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bet: number
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) {
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2022-07-10 18:05:44 +00:00
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const { newPool } = calculateCpmmPurchase(state, bet, outcome)
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const p = getCpmmProbability(newPool, state.p)
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2022-03-15 22:27:51 +00:00
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return outcome === 'NO' ? 1 - p : p
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}
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// before liquidity fee
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function calculateCpmmShares(
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pool: {
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[outcome: string]: number
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},
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p: number,
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bet: number,
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betChoice: string
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) {
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const { YES: y, NO: n } = pool
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const k = y ** p * n ** (1 - p)
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return betChoice === 'YES'
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? // https://www.wolframalpha.com/input?i=%28y%2Bb-s%29%5E%28p%29*%28n%2Bb%29%5E%281-p%29+%3D+k%2C+solve+s
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y + bet - (k * (bet + n) ** (p - 1)) ** (1 / p)
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: n + bet - (k * (bet + y) ** -p) ** (1 / (1 - p))
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}
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2022-07-10 18:05:44 +00:00
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export function getCpmmFees(state: CpmmState, bet: number, outcome: string) {
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const prob = getCpmmProbabilityAfterBetBeforeFees(state, outcome, bet)
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const betP = outcome === 'YES' ? 1 - prob : prob
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const liquidityFee = LIQUIDITY_FEE * betP * bet
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const platformFee = PLATFORM_FEE * betP * bet
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const creatorFee = CREATOR_FEE * betP * bet
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const fees: Fees = { liquidityFee, platformFee, creatorFee }
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const totalFees = liquidityFee + platformFee + creatorFee
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const remainingBet = bet - totalFees
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return { remainingBet, totalFees, fees }
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}
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export function calculateCpmmSharesAfterFee(
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state: CpmmState,
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bet: number,
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outcome: string
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) {
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const { pool, p } = state
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const { remainingBet } = getCpmmFees(state, bet, outcome)
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return calculateCpmmShares(pool, p, remainingBet, outcome)
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}
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export function calculateCpmmPurchase(
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state: CpmmState,
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bet: number,
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outcome: string
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) {
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const { pool, p } = state
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const { remainingBet, fees } = getCpmmFees(state, bet, outcome)
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const shares = calculateCpmmShares(pool, p, remainingBet, outcome)
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const { YES: y, NO: n } = pool
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const { liquidityFee: fee } = fees
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const [newY, newN] =
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outcome === 'YES'
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? [y - shares + remainingBet + fee, n + remainingBet + fee]
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: [y + remainingBet + fee, n - shares + remainingBet + fee]
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const postBetPool = { YES: newY, NO: newN }
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const { newPool, newP } = addCpmmLiquidity(postBetPool, p, fee)
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return { shares, newPool, newP, fees }
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}
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2022-07-10 18:05:44 +00:00
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// Note: there might be a closed form solution for this.
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// If so, feel free to switch out this implementation.
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export function calculateCpmmAmountToProb(
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state: CpmmState,
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prob: number,
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outcome: 'YES' | 'NO'
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) {
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if (prob <= 0 || prob >= 1 || isNaN(prob)) return Infinity
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if (outcome === 'NO') prob = 1 - prob
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// First, find an upper bound that leads to a more extreme probability than prob.
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let maxGuess = 10
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let newProb = 0
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do {
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maxGuess *= 10
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newProb = getCpmmOutcomeProbabilityAfterBet(state, outcome, maxGuess)
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} while (newProb < prob)
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// Then, binary search for the amount that gets closest to prob.
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const amount = binarySearch(0, maxGuess, (amount) => {
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const newProb = getCpmmOutcomeProbabilityAfterBet(state, outcome, amount)
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return newProb - prob
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})
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return amount
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}
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function calculateAmountToBuyShares(
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state: CpmmState,
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shares: number,
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outcome: 'YES' | 'NO',
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unfilledBets: LimitBet[]
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) {
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// Search for amount between bounds (0, shares).
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// Min share price is M$0, and max is M$1 each.
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return binarySearch(0, shares, (amount) => {
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const { takers } = computeFills(
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outcome,
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amount,
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state,
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undefined,
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unfilledBets
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)
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const totalShares = sumBy(takers, (taker) => taker.shares)
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return totalShares - shares
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})
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}
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export function calculateCpmmSale(
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state: CpmmState,
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shares: number,
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outcome: 'YES' | 'NO',
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unfilledBets: LimitBet[]
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) {
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if (Math.round(shares) < 0) {
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throw new Error('Cannot sell non-positive shares')
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}
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const oppositeOutcome = outcome === 'YES' ? 'NO' : 'YES'
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const buyAmount = calculateAmountToBuyShares(
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state,
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shares,
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oppositeOutcome,
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unfilledBets
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)
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const { cpmmState, makers, takers, totalFees } = computeFills(
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oppositeOutcome,
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buyAmount,
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state,
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undefined,
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unfilledBets
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)
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// Transform buys of opposite outcome into sells.
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const saleTakers = takers.map((taker) => ({
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...taker,
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// You bought opposite shares, which combine with existing shares, removing them.
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shares: -taker.shares,
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// Opposite shares combine with shares you are selling for M$ of shares.
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// You paid taker.amount for the opposite shares.
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// Take the negative because this is money you gain.
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amount: -(taker.shares - taker.amount),
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isSale: true,
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}))
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const saleValue = -sumBy(saleTakers, (taker) => taker.amount)
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return {
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saleValue,
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cpmmState,
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fees: totalFees,
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makers,
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takers: saleTakers,
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}
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}
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export function getCpmmProbabilityAfterSale(
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state: CpmmState,
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shares: number,
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outcome: 'YES' | 'NO',
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unfilledBets: LimitBet[]
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) {
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const { cpmmState } = calculateCpmmSale(state, shares, outcome, unfilledBets)
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return getCpmmProbability(cpmmState.pool, cpmmState.p)
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}
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export function getCpmmLiquidity(
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pool: { [outcome: string]: number },
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p: number
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) {
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const { YES, NO } = pool
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return YES ** p * NO ** (1 - p)
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}
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export function addCpmmLiquidity(
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pool: { [outcome: string]: number },
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p: number,
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amount: number
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) {
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const prob = getCpmmProbability(pool, p)
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//https://www.wolframalpha.com/input?i=p%28n%2Bb%29%2F%28%281-p%29%28y%2Bb%29%2Bp%28n%2Bb%29%29%3Dq%2C+solve+p
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const { YES: y, NO: n } = pool
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const numerator = prob * (amount + y)
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const denominator = amount - n * (prob - 1) + prob * y
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const newP = numerator / denominator
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const newPool = { YES: y + amount, NO: n + amount }
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const oldLiquidity = getCpmmLiquidity(pool, newP)
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const newLiquidity = getCpmmLiquidity(newPool, newP)
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const liquidity = newLiquidity - oldLiquidity
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return { newPool, liquidity, newP }
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}
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const calculateLiquidityDelta = (p: number) => (l: LiquidityProvision) => {
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const oldLiquidity = getCpmmLiquidity(l.pool, p)
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const newPool = addObjects(l.pool, { YES: l.amount, NO: l.amount })
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const newLiquidity = getCpmmLiquidity(newPool, p)
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const liquidity = newLiquidity - oldLiquidity
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return liquidity
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}
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export function getCpmmLiquidityPoolWeights(
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state: CpmmState,
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liquidities: LiquidityProvision[],
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excludeAntes: boolean
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) {
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const calcLiqudity = calculateLiquidityDelta(state.p)
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const liquidityShares = liquidities.map(calcLiqudity)
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const shareSum = sum(liquidityShares)
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const weights = liquidityShares.map((shares, i) => ({
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weight: shares / shareSum,
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providerId: liquidities[i].userId,
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}))
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const includedWeights = excludeAntes
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? weights.filter((_, i) => !liquidities[i].isAnte)
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: weights
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const userWeights = groupBy(includedWeights, (w) => w.providerId)
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const totalUserWeights = mapValues(userWeights, (userWeight) =>
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sumBy(userWeight, (w) => w.weight)
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)
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return totalUserWeights
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}
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export function getUserLiquidityShares(
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userId: string,
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state: CpmmState,
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liquidities: LiquidityProvision[],
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excludeAntes: boolean
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) {
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const weights = getCpmmLiquidityPoolWeights(state, liquidities, excludeAntes)
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const userWeight = weights[userId] ?? 0
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return mapValues(state.pool, (shares) => userWeight * shares)
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}
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