Crypto data withdrawal

# QuantBook Research Script: Discovering Small-Cap Crypto Token Availability on QuantConnect
# ------------------------------------------------------------------------------
# Goal: 
#   1. Query and print all Binance crypto tickers via QuantConnect for discovery.
#   2. Filter and print for popular small-caps (SHIB, PEPE, SATS).
#   3. Attempt to add SHIBUSDT from top markets and check if supported + historical data availability.
#   4. Print result for each market with example history or "no data" message.
#   5. Commented for easy adaptation to new tokens or usage by others.
# ------------------------------------------------------------------------------

from AlgorithmImports import *

# 1. Instantiate QuantBook research engine
qb = QuantBook()

# 2. Query all tickers available on Binance
binance_tickers = CryptoUniverse.available_crypto_symbols(qb, Market.BINANCE)
print(f"Total Binance trading pairs found: {len(binance_tickers)}\n")

# 3. Filter list for specific small-cap tokens (easy to adjust to your needs)
target_symbols = ['SHIB', 'PEPE', 'SATS']
filtered = [s for s in binance_tickers if any(token in s.value.upper() for token in target_symbols)]
print("Small-cap related pairs on Binance:")
for s in filtered:
    print(f" - {s.value} (Market: {s.id.market}, SecurityType: {s.security_type})")
print()

# 4. Try to add 'SHIBUSDT' from several markets, checking if symbol+history exist
markets = [Market.BINANCE, Market.BYBIT, Market.COINBASE]
target_pair = "SHIBUSDT"

print("Checking token support and available history for SHIBUSDT in major markets...")
for market in markets:
    # This will return None if not found
    symbol = qb.add_crypto(target_pair, market)
    if symbol is None:
        print(f"Symbol for {target_pair} not available on {market} (AddCrypto returned None).\n")
        continue

    print(f"{target_pair} symbol on {market}: {symbol.value}")

    # Try fetching some recent daily history for the symbol
    history = qb.history([symbol], 60, Resolution.DAILY)
    # History is a MultiIndex DataFrame (symbol, time)
    if history.empty:
        print(f"No historical data available for {symbol.value} on {market}.\n")
    else:
        print(f"History available for {symbol.value} on {market}. Last 5 rows:")
        print(history.tail(5), "\n")

# 5. Comments throughout for convenience.
#    - Change target_symbols for other token filters.
#    - Change target_pair for a new symbol (like PEPEUSDT, SATSUSDT, etc).
#    - Add/Remove markets from the 'markets' list.

How to Use:

• This script finds all available Binance pairs and filters for small-cap tokens.
• It tries to add "SHIBUSDT" for Binance, Bybit, and Coinbase, and checks if history can be fetched.
• Adjust target_symbols, target_pair, and markets as needed for your use case!
• If .add_crypto() or .history() is empty, it’s likely that token and market are not supported by QuantConnect’s licensed feed.

Tip:
If your desired token isn’t discovered by CryptoUniverse.available_crypto_symbols(qb, Market.BINANCE), it’s not available for backtest or research data in QuantConnect for that market. Try searching other supported markets, and consult the QuantConnect data library for new additions!

Sources: Binance Crypto Price Data - QuantConnect.com, Binance US Crypto Price Data - QuantConnect.com, Coinbase Crypto Price Data - QuantConnect.com, Kraken Crypto Price Data - QuantConnect.com, Reimagining the 60-40 Portfolio in an Era of AI and Falling Rates

I got the following error: AttributeError: type object 'CryptoUniverse' has no attribute 'available_crypto_symbols'

It seems we don’t have access to this method. Is there another way to discover the available crypto symbols per market? How can we get this to work