Title: New altcoin code made by chatgpt based on Cambridge equation Post by: Zan Zano on May 25, 2024, 10:19:43 AM New altcoin code made by chatgpt based on Cambridge equation
# Pseudocode for calculating Md and managing the money supply def calculate_V(transaction_data, money_supply): total_transaction_value = sum([tx['value'] for tx in transaction_data]) average_money_supply = sum(money_supply) / len(money_supply) V = total_transaction_value / average_money_supply return V def calculate_P(transaction_data): total_transaction_value = sum([tx['value'] for tx in transaction_data]) num_transactions = len(transaction_data) P = total_transaction_value / num_transactions return P def calculate_Y(transaction_data, period_length): total_income = sum([tx['value'] for tx in transaction_data]) Y = total_income / period_length return Y def distribute_new_coins(users, new_coins): coins_per_user = new_coins / len(users) for user in users: user['balance'] += coins_per_user def apply_negative_interest(users, interest_rate): for user in users: user['balance'] *= (1 - interest_rate) def adjust_money_supply(transaction_data, money_supply, users, period_length): V = calculate_V(transaction_data, money_supply) P = calculate_P(transaction_data) Y = calculate_Y(transaction_data, period_length) k = 1 / V Md = k * P * Y current_money_supply = sum([user['balance'] for user in users]) if Md > current_money_supply: new_coins = Md - current_money_supply distribute_new_coins(users, new_coins) elif Md < current_money_supply: excess_coins = current_money_supply - Md interest_rate = excess_coins / current_money_supply apply_negative_interest(users, interest_rate) # Sample data and function call transaction_data = [...] # Transaction data from the blockchain money_supply = [...] # Money supply at different times users = [...] # List of users with their balances period_length = 30 # Period length in days or months adjust_money_supply(transaction_data, money_supply, users, period_length) |