coinrandom 0.2.2

True random numbers sourced from live cryptocurrency market data

coinrandom

한국어 | English

True random numbers sourced from live cryptocurrency market data.

import coinrandom

coinrandom.random()        # 0.7182818...
coinrandom.randint(1, 100) # 42
coinrandom.choice(["a", "b", "c"])

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Why coinrandom?

Cryptocurrency markets trade 24/7 globally. At the tick level — individual trade prices, quantities, timestamps, and buyer/seller direction — the data is highly unpredictable. The Efficient Market Hypothesis (EMH) says no one can consistently predict short-term market movements. coinrandom uses this unpredictability as an entropy source.

Trust Model

Even with the full source code published, no one can predict the output in advance — because no one can predict the coin market.

This is an application of Kerckhoffs's principle: security depends on the unpredictability of the market, not on keeping the algorithm secret. Each value generated by Heavy/SuperHeavy comes with a RandomProof — a verifiable audit trail showing exactly which market data produced the result.

Honest limits: coinrandom provides computational security (like AES/RSA), not information-theoretic security (like Chainlink VRF). The trust model is economic, not mathematical. For cryptographic key generation, use secrets. For smart contract RNG, use Chainlink VRF.

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Installation

pip install coinrandom                     # Light + Heavy
pip install "coinrandom[superheavy]"       # + SuperHeavy (numpy, scipy)

No API keys. No configuration.

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Three Tiers

Tier	Speed	Entropy source	Proof	Use case
Light	~1ms	Binance tick + Argon2	No	High-volume generation
Heavy	~2s	3 exchanges + ETH + BTC block hash + Argon2	Yes	Raffles, NFT mints, DAO votes
SuperHeavy	~30s	Portfolio-optimized coins + Heavy pipeline (ETH + BTC)	Yes	Maximum entropy, auditable

All tiers return the same API — drop-in replacement for Python's random module.

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Usage

Light (default)

import coinrandom

coinrandom.random()              # float in [0.0, 1.0)
coinrandom.uniform(1.5, 9.5)
coinrandom.randint(1, 100)
coinrandom.choice(["a", "b", "c"])
coinrandom.choices(["a", "b", "c"], k=5)
coinrandom.sample(range(100), k=10)

lst = [1, 2, 3, 4, 5]
coinrandom.shuffle(lst)

coinrandom.gauss(mu=0.0, sigma=1.0)

Heavy — with proof

from coinrandom.heavy import HeavyEngine

engine = HeavyEngine()
proof = engine.random_with_proof()

print(proof.value)         # 0.3571428...
print(proof.exchanges)     # [{"exchange": "binance", "symbol": "BTCUSDT", ...}, ...]
print(proof.block_hash)    # "0xabc123..."
print(proof.final_hash)    # SHA-256 of the Argon2-stretched entropy

SuperHeavy — portfolio-optimized entropy

from coinrandom.superheavy import SuperHeavyEngine

engine = SuperHeavyEngine()
proof = engine.random_with_proof()

print(proof.selected_symbols)       # coins selected by inverse portfolio optimization
print(proof.correlation_matrix)     # correlation matrix of candidates
print(proof.optimization_result)    # scipy SLSQP result

Saving proof as JSON

RandomProof and SuperProof are plain dataclasses — save them with the standard library:

import dataclasses, json

proof = engine.random_with_proof()

with open("proof.json", "w") as f:
    json.dump(dataclasses.asdict(proof), f, indent=2)

SuperHeavy runs inverse Markowitz portfolio optimization to select the least-correlated coins as entropy sources — maximizing entropy diversity.

Async API

All tiers expose async versions of every function — same names, prefixed with a.

import asyncio
import coinrandom
from coinrandom import heavy, superheavy  # superheavy requires [superheavy] extra

async def main():
    # Light
    val = await coinrandom.arandom()
    n   = await coinrandom.arandint(1, 100)
    c   = await coinrandom.achoice(["a", "b", "c"])
    lst = [1, 2, 3]
    await coinrandom.ashuffle(lst)

    # Heavy
    val   = await heavy.arandom()
    proof = await heavy.arandom_with_proof()
    print(proof.block_hash)

    # SuperHeavy
    val   = await superheavy.arandom()
    proof = await superheavy.arandom_with_proof()
    print(proof.selected_symbols)

asyncio.run(main())

Async methods offload blocking I/O to a thread pool via asyncio.run_in_executor — no new dependencies.

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Design Principles

1. No API keys — works out of the box with pip install
2. Uniform API — every tier exposes the same functions as random
3. No stdlib random — custom HashDRBG (SHA-512 counter-based), Mersenne Twister not used anywhere
4. Open-source safe — Kerckhoffs's principle: publishing the algorithm doesn't compromise security
5. Intentionally heavy — Heavy/SuperHeavy: each call runs the full entropy pipeline. "Slow = costly to manipulate."

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Internals

coinrandom/
├── __init__.py          # Light tier as default API
├── core.py              # fetch_binance_entropy, mix_entropy
├── proof.py             # RandomProof, SuperProof dataclasses
├── light/               # HashDRBG + Argon2 (t=1, m=8MB) reseed cache
├── heavy/               # 3 exchanges parallel + ETH block hash + Argon2 (t=4, m=64MB)
└── superheavy/          # Inverse portfolio optimization → Heavy pipeline

HashDRBG

Custom SHA-512 counter-based DRBG. No import random anywhere in the codebase.

# Simplified
state = argon2(mix_entropy(coin_data, os.urandom(32)))
output = sha512(state + counter)  # per call

Manipulation resistance

Heavy mode requires simultaneously moving 32+ coins across Binance, Upbit, and Coinbase in the exact direction needed — estimated cost: billions of dollars. SuperHeavy additionally hides the target coins until optimization runs.

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Versioning

This project follows Semantic Versioning:

• PATCH — bug fixes, internal improvements
• MINOR — new features, backward-compatible
• MAJOR — stable API declaration or breaking changes

Current status: 0.x (API stabilizing, not yet guaranteed stable)

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License

MIT