Index Details

APX V2 MADBTCUSD Index Details

How does it work?

$$drift = （\frac{\mathrm{btcCurrentPrice}}{\mathrm{btcLastSecondPrice}} - 1）*3$$

$$\sigma = \frac{expected vol}{\sqrt{3600*24*365}}$$

$$norm = \text{norminv}\left(Random, 0, 1\right)$$

$$S_{n+1} =S_{n} * e^{\left[\left({drift} - \frac{\sigma^2}{2}\right) * dt + \sigma * \sqrt{dt} * norm\right]}$$

where:

• Initial Sn=1000

• dt=1

• expected vol：100%(expected vol is the expected time volatility of the MADBTC)

• the "Random number" is calculated based on the current BTC price with 8 decimal places of precision

Calculative process of random number:

import hashlib
from decimal import Decimal

# Assume the current price of Bitcoin is 48923.56789101
bitcoin_price = Decimal("48923.56789101")

# Calculate the SHA-256 hash of the Bitcoin price
price_hash = hashlib.sha256(str(bitcoin_price).encode('utf-8')).hexdigest()

# Extract the first 8 hexadecimal numbers from the hash
hash_substring = price_hash[:8]

# Converts a hexadecimal string to an integer
hash_integer = int(hash_substring, 16)

# Divide the integer by 4294967296 (the decimal number corresponding to the hexadecimal number FFFFFFFF) to get a number between 0 and 1,
random_number = hash_integer / 4294967296
# Print the random number
print(random_number)

If the random number is counted as 0, MADBTC price will stay the same

Data interface in second (Returns the most recent 1800 data):

https://www.apollox.finance/bapi/futures/v1/public/future/apx/V2IndexPriceKline?limit=1800&symbol=MADBTCUSDwww.apollox.finance

Historical backtest data of BTC & MADBTC:

June 17 to October 17, 2023