LuckyBit bets

LuckyBit bets

Datasets used in the creation of "How Bitcoin’s Ups and Downs Are Changing the Way You Bet" by Máté Csaba Sándor and Barna Bakó of Corvinus University of Budapest

These datasets can be used to reproduce the results presented in (1)

The necessary scripts are available at: https://github.com/sampaat/luckybit_gambling

Producing the gambling dataset

The gambling dataset was created using the transactional data extractable from the bitcoin ledger. To make things simpler we have been using a formated dataset from (2), available currently at (3). To replicate the dataset, use the script data_preparation_from_blockchain_excrept.R. Do not run the script as it is, since first you need to download the appropriate datasets from above which takes considerable time. Also there are some variables that need manual adjustment, to avoid overwhelming most desktop computers.

A representative state of the game's website is observable as a web archive

The prepared gambling dataset

The excrept created, containing all transactions of the LuckyBit platform are featured in luckybit_bets_usered.csv

The columns featured in the dataset (names in the first row):

txID  transaction ID of the bet transaction [integer]

addrID recieving address ID of the targeted game (see *luckybit_games_addresses.csv* for mapping them to games) [integer]

addrID_in reciving/initiating address ID of the bet/answer transaction, the ID gathered from the dataset, not resolved to true bitcoin IDs [integer]

value bet ammount (or wager) measured in satoshis (1 satoshi = 1e-8 BTC) [integer]

block_timestamp blockchain block timestamp (UTC unixtime) used to time the bets [integer]

userID  assigned based on addrID_player using the methods and dataset of (**2**) [integer]

Supporting datasets

Luckybit addresses

Mapping table containing basic information about the possible LuckyBit games are featured in luckybit_games_address.csv

The columns featured in the dataset (names in the first row):

Name  color based identification of the game as shown in the web archive. [string]

Address string format of the game's bitcoin address hash [string]

addrID recieving address ID of the targeted game (see luckybit_games_addresses.csv for mapping them to games) [integer]

ExpectedReturn expected payout of the game on unit bet [float]

HousePercent expected loss of the game on unit bet [float]

MaxWin maximum winning multiplier [integer]

WinProb  total probability of positive total payout (win) [float]

LossProb  total probability of negative total payout (loss) [float]

FlatProb  total probability of bet payback (no win or loss) [float]

Luckybit game table

Mapping table containing multipliers and probabilites of each game are featured luckybit_games_table.csv

The columns featured in the dataset (names in the first row):

n  label of result 1-17 [integer]

blue multiplier of the n-th outcome for the game blue [float]

green multiplier of the n-th outcome for the game green [float]

yellow multiplier of the n-th outcome for the game yellow [float]

red multiplier of the n-th outcome for the game red [float]

p_win maximum winning multiplier [float]

Clustered users table

Mapping table containing the clusterings assigned to each user are featured clustered_users.csv

The columns featured in the dataset (names in the first row):

userID  assigned based on addrID_player using the methods and dataset of (**2**) [integer]

cluster calculated in *player_clustering.Rmd* as 1 - All players, 2 - Casual, 3 - Regular, 4 - Extreme [integer]

Clustered users table

Bitcoin to USD exchange rate data featured in bitcoin_historical_data_coinmarketcap.csv

This dataset has been downloaded as of 2024-09-02 from Coinmarketcap

The columns featured in the dataset (names in the first row):

timeOpen  market open, datetime UTC [string]

timeClose  market close, datetime UTC [string]

timeHigh  timing of daily high, datetime UTC [string]

timeLow  timing of daily low, datetime UTC [string]

name  arbitrary ID from Coinmarketcap, uniform, dropable [integer]

open  daily opening exchange rate (USD/BTC) [float]

high  highest daily exchange rate (USD/BTC) [float]

low  lowest daily exchange rate (USD/BTC) [float]

close  daily closing exchange rate (USD/BTC) [float]

volume daily total traded volume (BTC) [float]

marketCap total Bitcoin market capitalization in USD [float]

timeStamp  timing of data recording, datetime UTC [string]

References

  1. Bakó, B., Sándor, M.C. (2025). How Bitcoin’s Ups and Downs Are Changing the Way You Bet  2. Kondor, D., Pósfai, M., Csabai, I., & Vattay, G. (2014). Do the rich get richer? An empirical analysis of the BitCoin transaction network. PLoS ONE, 9(2), e86197.   3. https://doi.org/10.5061/dryad.qz612jmcf