What is StockHunt AI?

StockHunt AI is an institutional-grade quantitative trading platform offering non-custodial crypto perpetual futures, sub-50ms algorithmic execution, multi-venue order management (OMS), and AI-driven market intelligence (CoinIQ) across 20+ blockchains.

Is StockHunt AI non-custodial?

Yes, StockHunt AI is 100% self-custodial. Traders retain full ownership and security over their private keys and smart contract funds at all times while trading perpetual futures.

CoinIQ is StockHunt's proprietary AI market intelligence engine that analyzes real-time order flow and market regimes to generate predictive trading signals with 87.4% historical accuracy.

The StockHunt Journal

Research & Insights

Deep-dives from StockHunt's quant researchers, market makers, and engineers — covering AI trading, DeFi, market microstructure, and risk.

AI neural network overlaying a glowing crypto candlestick chart on a dark background

Market Insights

FEATURED

9 min read·September 10, 2025·Dev

How AI Is Revolutionizing Crypto Trading in 2025

Artificial intelligence is no longer a buzzword in finance — it's the infrastructure that separates alpha from noise. We break down exactly how AI models are changing the game for institutional crypto traders.

Read Article

Interconnected blockchain nodes forming a glowing orange network with floating crypto token symbols

Education

8 min·September 3, 2025

Understanding DEX Perpetual Futures: The Non-Custodial Revolution

DEX perpetual futures have matured from an experimental niche into a multi-billion dollar market. We break down the mechanics, the risks, and the genuine advantages of trading perps on-chain.

DEX Perpetual Futures DeFi

High-frequency trading order book visualization with glowing orange bid-ask spread lines on dark background

Quant Research

10 min·August 27, 2025

Market Making in Crypto: How HFT Firms Keep Markets Liquid

Every time you buy or sell a crypto asset and your order fills instantly, a market maker made that possible. We pull back the curtain on how institutional market making actually works in digital asset markets.

Market Making HFT Liquidity

Digital protective shield made of glowing orange data particles surrounding a financial risk management dashboard

Quant Research

11 min·August 18, 2025

Risk Management in Algorithmic Trading: Mastering Delta-Neutral Hedging

Risk management is not a cost center — it is the primary competitive advantage of every great trading firm. We cover the frameworks, models, and real-world tools used by institutional quant desks to protect and grow capital.

Risk Management Delta Neutral Hedging

Decision trees, gradient boosting layers and neural networks glowing orange on a dark fintech background

Quant Research

10 min·September 15, 2025

Machine Learning Models in Crypto Trading: A Practical Guide

From gradient boosting to LSTMs, machine learning has reshaped how quantitative traders build edge. We break down which models actually work in crypto, how to avoid common pitfalls, and what a real ML trading pipeline looks like.

Machine Learning Gradient Boosting LSTM

Sliding time window optimization visualization with in-sample and out-of-sample performance bands on a dark trading chart

Quant Research

9 min·September 8, 2025

Walk Forward Testing & Forward Optimization: The Gold Standard of Strategy Validation

Walk forward testing is the closest thing to honest backtesting that exists. We explain the full methodology, how forward optimization works, and why ignoring it is the fastest way to blow up a trading account.

Walk Forward Testing Forward Optimization Backtesting

Thousands of glowing orange probability path simulations fanning out from a single origin point like a financial scenario fan chart

Quant Research

10 min·September 1, 2025

Monte Carlo Simulation: How Quant Traders Model Uncertainty and Protect Capital

Monte Carlo simulation lets traders move beyond single-path backtests to understand the full distribution of possible outcomes. We explain how it works, how we use it at StockHunt, and what it reveals that standard backtesting never can.

Monte Carlo Risk Modelling Simulation

Market regime transitions showing bull, sideways and bear zones with HMM state transition arrows on a dark fintech chart

Market Insights

11 min·August 25, 2025

Regime Analysis in Crypto Markets: How to Trade the Market You're Actually In

Market regimes are the invisible context that determines whether your strategy makes money or loses it. We explain how to detect regimes, classify them quantitatively, and build adaptive trading systems that switch behaviour when the market shifts.

Regime Analysis Market Regimes Hidden Markov Model