Blog
Insights on algorithmic trading, backtesting methodology, and market strategies from the FerroQuant team.
2026-02-09
Algorithmic Trading with Rust: Why We Built FerroQuant in Rust
Why Rust is the ideal language for algorithmic trading. Zero-cost abstractions, memory safety, and the architecture behind FerroQuant's real-time signal engine.
2026-02-09
How to Backtest Trading Strategies: A Complete Guide
A complete guide to backtesting trading strategies properly. Walk-forward validation, avoiding overfitting, and interpreting results with real examples.
2026-02-09
Multi-Timeframe RSI Heatmap: A Trader's Guide
How to read and trade with a multi-timeframe RSI heatmap. 16-period consensus, zone detection, and divergence analysis across four timeframes.
2026-02-09
Understanding Crypto Trading Signals: What They Are and How to Use Them
What crypto trading signals are, how algorithmic signal generation works, and how to evaluate signal quality and provider reliability.
2026-04-16
What Is Algorithmic Trading? A Beginner's Guide
A plain-English introduction to algorithmic trading: what it is, how automated strategies work, and why quant traders use code instead of gut instinct.
2026-04-16
Risk Management in Automated Trading: Position Sizing and Drawdown Control
The risk management framework behind professional automated trading: position sizing, drawdown limits, kill switches, and why managing risk is more important than finding entries.
2026-04-16
How Signal Engines Work: From Market Data to Trade Decisions
A technical walkthrough of how a trading signal engine works: from raw WebSocket price data through indicator calculation, strategy evaluation, and final signal emission.
2026-04-16
Backtesting vs Live Trading: Bridging the Gap
Why backtests look better than live results — and the specific techniques (realistic costs, walk-forward validation, regime awareness) that bring them closer together.
2026-02-09
Mean Reversion vs Momentum: Two Core Trading Strategy Types Explained
The two fundamental strategy types in algorithmic trading: mean reversion (buying dips) and momentum (riding trends). When each works and how to combine them.
Put Knowledge Into Action
198+ algorithmic strategies across crypto, forex, indices, and commodities.
Join Waitlist