Python framework optimized for running backtests on multiple asset portfolios
xDeFi Optimized Multi Asset AMM Dex on Ethereum
Systematic multi-asset allocation strategy using Hidden Markov Models to identify VIX volatility regimes and dynamically rotate between TLT, GLD, and SPY
Based on the concepts in "CIMTR" and others, swing trading
XCM SDK is a tool that provides an interface to send XCM messages for Substrate based blockchains.
MetaTrader 5 Enterprise Terminal Premium delivers the Complete Edition with Professional Build multi-asset trading capabilities. Enterprise Setup supports installation and download on Windows trading floors.
Multi-asset portfolio backtesting engine for Python. Weights-based strategies, walk-forward analysis, and comprehensive metrics.
Finite Difference Method for the Multi-Asset Black–Scholes Equations
达塔接口 (Data Interface) - 常驻内存仅~5MB的量化全域行情网关。官网: https://dat.gt.tc 。支持 D101 全球全资产一键全推、D3 3秒级上帝视角复盘、D201 指定价位排单穿透、D2 全天240根主力资金流、D204 千档即时双模，无缝对接 QMT/PTrade/vn.py/MQTT 生态。
AnchorVaultCoin V45 – non-custodial multi-asset ERC-20 vault with two-key authorization, emergency recovery, and Hexens audit. Landing page & web interface for the AnchorVault protocol.
ERC1155-like multi-asset standard for Sui — batch ops, bit-packed asset IDs, on-chain supply tracking (Move 2024)
Node-based, multi-asset backtester — prediction markets, shares and crypto in one strategy, on recorded order-book depth.
Auditable multi-asset quantitative research engine with point-in-time data, walk-forward validation, trial accounting, execution simulation, and reproducible evidence.
Multi-asset portfolio risk monitoring, backtesting, and stress testing engine — LSEG data with audit-ready outputs.
Multi-Asset Standard (MAS) - Ethereum standard for personal, self-custodial, multi-asset vaults with USD-based accounting
Engineering case study: multi-asset OTC marketplace with chunked partial fills and group-based whitelisting.
[Project] PoW 기반 다중 자산 지분형 블록체인 네트워크 구현
QuantForge is a modular, event-driven backtesting framework built for quantitative research — combining realistic execution, reproducibility, multi-asset portfolio testing, walk-forward validation, Monte Carlo analysis, and White’s Reality Check
Synthetic defensive multi-asset allocation and volatility targeting demo.
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