| import requests |
| import pandas as pd |
|
|
| API_URL = "https://api.coingecko.com/api/v3" |
|
|
| def float_to_hex(f): |
| _, hex_representation = f.hex().split('x') |
| return "0x" + hex_representation |
|
|
| def get_new_tokens(): |
| response = requests.get(f"{API_URL}/coins/ethereum/market_chart", params={"vs_currency": "usd", "days": 1}) |
| data = response.json() |
| |
| new_tokens = [] |
| for token in data["market_caps"]: |
| timestamp, market_cap = token |
| if market_cap > 20000: |
| coin_token = data["prices"][data["market_caps"].index(token)][1] |
| coin_token_hex = float_to_hex(coin_token) |
| new_tokens.append((coin_token_hex, timestamp, market_cap)) |
| |
| new_tokens.sort(key=lambda x: x[1], reverse=True) |
| |
| return new_tokens |
|
|
| if __name__ == "__main__": |
| new_tokens = get_new_tokens() |
| if new_tokens: |
| print("New Ethereum Tokens Created in the Last 24 Hours (Market Cap > $20,000)") |
| for coin_token, timestamp, market_cap in new_tokens: |
| time_created = pd.to_datetime(timestamp, unit="ms").strftime("%H:%M:%S") |
| print(f"COIN: {coin_token}, TIME CREATED: {time_created}, MARKET CAP: ${market_cap/1e6:.1f}MM") |
| else: |
| print("No new Ethereum tokens with market cap > $20,000 created in the last 24 hours.") |
|
|