import pandas as pd

# Data for US futures and Silver with tick size and tick value
futures_data = [
    {"Symbol": "ES", "Name": "E-mini S&P 500", "Tick Size": 0.25, "Tick Value (USD)": 12.50},
    {"Symbol": "MES", "Name": "Micro E-mini S&P 500", "Tick Size": 0.25, "Tick Value (USD)": 1.25},
    {"Symbol": "NQ", "Name": "E-mini Nasdaq 100", "Tick Size": 0.25, "Tick Value (USD)": 5.00},
    {"Symbol": "MNQ", "Name": "Micro E-mini Nasdaq 100", "Tick Size": 0.25, "Tick Value (USD)": 0.50},
    {"Symbol": "YM", "Name": "E-mini Dow", "Tick Size": 1, "Tick Value (USD)": 5.00},
    {"Symbol": "MYM", "Name": "Micro E-mini Dow", "Tick Size": 1, "Tick Value (USD)": 0.50},
    {"Symbol": "CL", "Name": "Crude Oil", "Tick Size": 0.01, "Tick Value (USD)": 10.00},
    {"Symbol": "GC", "Name": "Gold Futures", "Tick Size": 0.10, "Tick Value (USD)": 10.00},
    {"Symbol": "SI", "Name": "Silver Futures", "Tick Size": 0.005, "Tick Value (USD)": 25.00},
]

df_futures = pd.DataFrame(futures_data)
import ace_tools as tools; tools.display_dataframe_to_user(name="US Futures Tick Sizes and Values", dataframe=df_futures)


<script defer data-domain="html.cafe" src="https://milkymouse.com/js/script.js"></script>