The deterministic algorithm behind the casino game https://roobet.com/crash

crash.clj

(ns user.crash
  "The deterministic algorithm behind the casino game https://roobet.com/crash.

  Includes code to
    - generate a crash point from a game hash
    - generate all game hashes and crash points since the start of the game
    - simulate betting strategies (n.b. this is just for fun, as there's no way
      to make a bet with a positive expected value)"
  (:require [pandect.algo.sha256 :as sha]))

;; hash of bitcoin block #610546
;;    https://twitter.com/Roobet/status/1211800855223123968
(def salt "0000000000000000000fa3b65e43e4240d71762a5bf397d5304b2596d116859c")

(defn hex-biginteger [^String s] (BigInteger. s 16))

(defn rpartition-all
  "Like partition-all, except the first chunk -- rather than the last -- may
  contain fewer than `n` elements if `xs` cannot be chunked evenly."
  [n xs]
  (map reverse (reverse (partition-all n (reverse xs)))))

;; To be completely honest I'm not sure why Roobet's sample code implements
;; modulus against hex strings instead of just parsing the hex string to a
;; number and using JavaScript's modulus (see sample @ https://roobet.com/fair),
;; but I'm going to port their code faithfully because ... chesterton's fence
(defn divisible? [hex modn]
  (let [chunk->n #(hex-biginteger (apply str %))]
    (zero?
      (reduce
        (fn [val n] (mod (+ (.shiftLeft (biginteger val) 16) n) modn))
        0
        (map chunk->n (rpartition-all 4 hex))))))

(defn crash-point
  "The crash point for game given its hash."
  [game-hash]
  (let [hash (sha/sha256-hmac salt game-hash)
        e (Math/pow 2 52)
        h (BigInteger. (subs hash 0 13) 16)

        ;; They changed this magic number at some point in time to reduce the
        ;; EV of each bet. See:
        ;;    https://github.com/MindingTheData/Crash-Analysis/issues/1
        magic-immediate-crash-number 20]
    (if (divisible? game-hash magic-immediate-crash-number)
      1.0
      (/ (Math/floor (/ (- (* 100 e) h) (- e h)))
         100.0))))

(defn all-game-hashes
  "A lazy sequence of all game hashes in reverse chronological order from
  `recent-hash` all the way back to the first game hash."
  [recent-hash]
  (let [first-game-hash (str "77b271fe12fca03c618f63dfb79d4105"
                             "726ba9d4a25bb3f1964e435ccf9cb209")]
    (concat
      (->> recent-hash
           (iterate sha/sha256)
           (take-while #(not= % first-game-hash)))
      [first-game-hash])))

(comment
  ;; E.g. to generate the last million game hashes
  (def games
    (time
      (->> "eeb2553823a150a584767d0dfa990f7fb96d88a125f0ecf773ffed104de2c472"
           all-game-hashes
           (take 1000000)
           (into []))))
  ; "Elapsed time: 4144.176054 msecs"

  ;; The last 10 game crash points
  (->> games
       (take 10)
       (mapv (fn [gh] {:crash-point (crash-point gh) :game gh})))
  ;=> [{:crash-point 32.64, :game "eeb2553823a150a584767d0dfa990f7fb96d88a125f0ecf773ffed104de2c472"}
  ;    {:crash-point 4.69, :game "08c8e0d47b16703c1a3ab72f605732fb2850597969d28d7d14f63f36beae133a"}
  ;    {:crash-point 2.44, :game "763d38cac9a5e56dc0ed51f0e6cf47544ebd3817aa96a94e071432a02d33a88b"}
  ;    {:crash-point 1.29, :game "96dce54f6d7e9f12bd9b4ad3429685395dfa94464aa4f189755ed5861a4294a8"}
  ;    {:crash-point 1.03, :game "cad42a35d39c789c0f006726c5eaf7a44a2cb28c56fc666f9f687dd8cde309eb"}
  ;    {:crash-point 138.85, :game "eaf49bc33178ceae91f50df199d86129fd834958c9b5295bda8f3530647acc36"}
  ;    {:crash-point 13.05, :game "cdb0cbd6f6b36c0ed26f3ad8b58feaf18cba6650e858d54030af175a56be5b28"}
  ;    {:crash-point 1.09, :game "4e5108c551e339c50a6631a7040c3f74a3310a6f10733947c8e50aefd55abcf8"}
  ;    {:crash-point 4.51, :game "2d5ced83236b0e30ef79250616d0539f531d1b1fd59d8e1cd5ded1e96c168ddd"}
  ;    {:crash-point 9.8, :game "3d37d4908eb86710af0907ce34a57d1199cf41bab63e6ee05c0737e20ad729ca"}]
  )

;;; For checking historical expected values

(defn hist-ev
  "The expected value per bet of betting to cash out at `multiplier` over the
  given `games` hashes."
  [multiplier games]
  (/ (->> games
          (map
            (fn [game]
              (if (>= (crash-point game) multiplier)
                multiplier
                0)))
          (apply +))
     (double (count games))))

(comment
  ;; What's the historical EV over the last 10,000 games betting on 2x, 20x,
  ;; and 200x?
  (def games
    (->> "eeb2553823a150a584767d0dfa990f7fb96d88a125f0ecf773ffed104de2c472"
         all-game-hashes
         (into [] (take 10000))))

  (hist-ev 2 games)
  ;=> 0.947

  (hist-ev 20 games)
  ;=> 0.866

  (hist-ev 200 games)
  ;=> 0.8

  (hist-ev 2000 games)
  ;=> 0.4

  (hist-ev 20000 games)
  ;=> 2.0

  ;; Does that mean betting on larger multipliers has a positive theoretical
  ;; EV? No; the expected value per bet is always negative, but if you bet on
  ;; large enough payouts, you can "overfit" your strategy to accomplish the
  ;l equivalent of quitting when you're ahead.
  )

;;; For simulating betting strategies

(defn build-summary [summary {:keys [win? usd multiplier]}]
  (if win?
    (-> summary
        (update :wins (fnil inc 1))
        (update :pnl (fnil + 0M) (* usd (dec multiplier))))
    (-> summary
        (update :losses (fnil inc 0))
        (update :pnl (fnil - 0M) usd))))

(defn simulate [strategy games & {:keys [bankroll take-profit stop-loss]}]
  (reduce
    (fn [{:keys [bets summary] :as x} game]
      (let [bet (strategy bets game)
            {:keys [pnl] :as summary} (build-summary summary bet)
            x (assoc x :bets (cons bet bets) :summary summary)]
        (if (or
              ;; Bankroll exhausted
              (and bankroll (>= (- pnl) bankroll))
              ;; Take profit limit hit
              (and take-profit (>= pnl take-profit))
              ;; Stop loss hit
              (and stop-loss (< pnl stop-loss)))
          (reduced x)
          x)))
    {:bets (list)
     :summary {:wins 0 :losses 0 :pnl 0}}
    games))

(defn bet [game {:keys [usd multiplier] :as b}]
  (let [cp (crash-point game)]
    (assoc b :win? (<= multiplier cp) :cp cp)))

(comment
  ;; E.g. simulating a modified martingale strategy over the last thousand
  ;; games. The strategy starts with a bankroll of 100 USD and bets on a
  ;; multiplier of 4.
  ;;
  ;; A martingale strategy initially bets e.g. $0.10, and if it loses it doubles
  ;; its bet size, resetting it to $0.10 if it wins. The modification here is
  ;; that we impose a max bet size limit of $10 to avoid crazy exponential
  ;; growth.
  (defn martingale' [[prev-game] game]
    (bet
      game
      {:usd (if (and prev-game (not (:win? prev-game)))
              (min (* (:usd prev-game) 2M) 10M)
              0.1M)
       :multiplier 4}))

  (def last-thousand
    (->> "eeb2553823a150a584767d0dfa990f7fb96d88a125f0ecf773ffed104de2c472"
         all-game-hashes
         (take 1000)
         (reverse)))

  (def results (simulate martingale' last-thousand :bankroll 100M))
  (dissoc results :bets)
  ;=> {:summary {:wins 157, :losses 549, :pnl -101.4M}}

  ;; PnL and win/loss with each bet made throughout the session
  (->> (reverse (:bets results))
       (reductions build-summary {})
       rest
       (take 10))
  ;=> ({:losses 1, :pnl -0.1M}
  ;    {:losses 2, :pnl -0.3M}
  ;    {:losses 3, :pnl -0.7M}
  ;    {:losses 3, :pnl 1.7M, :wins 2}
  ;    {:losses 4, :pnl 1.6M, :wins 2}
  ;    {:losses 5, :pnl 1.4M, :wins 2}
  ;    {:losses 6, :pnl 1.0M, :wins 2}
  ;    {:losses 7, :pnl 0.2M, :wins 2}
  ;    {:losses 7, :pnl 5.0M, :wins 3}
  ;    {:losses 8, :pnl 4.9M, :wins 3})


  ;; Max P&L during the session
  (->> (reverse (:bets results))
       (reductions build-summary {})
       rest
       (map :pnl)
       (apply max))
  ;=> 256.4M
  )

how ican run it

0.23

i need 1x bet crash predictor

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how can i code a predictor

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