A couple elegantly posing outdoors in formal attire, exuding love and happiness.

Algorithmic & AI Trading

Children watching a humanoid robot toy on a reflective surface, showcasing innovation and curiosity.

Low‑Latency Execution and Tick‑Level ML: Infrastructure, Costs and ROI for FX Traders

Evaluate infrastructure, latency budgets, tick‑level ML, and colocation vs cloud tradeoffs for FX traders — costs, benefits and pragmatic deployment guidance.

Smartphone showing ChatGPT website with warm tone, highlighting AI technology.

Data Vendors, Alternative Data and Cost‑Effective Feeds for FX Machine Learning

Compare FX data vendors, free & low‑cost feeds and alternative data (news, on‑chain) to build robust, cost‑efficient machine‑learning models for FX trading.

A robotic arm strategically playing chess, symbolizing AI innovation.

How to Automate Strategy Deployment: From Backtest to VPS to Live Execution

Step-by-step guide to move a strategy from backtesting to VPS and live execution — covering containerization, CI/CD, broker APIs, monitoring, and risk controls.

Close-up of vibrant HTML code displayed on a computer screen, showcasing web development and programming.

Version Control, CI/CD and Testing for Trading Bots — DevOps Best Practices

DevOps for trading bots: git workflows, CI/CD, unit & integration tests, reproducible backtests, model/artifact versioning, secure secrets, monitoring.

Scientists in a lab working with a robot, focusing on technological innovation and development.

Model Risk Management for Retail Quants: Monitoring, Drift Detection and Retraining

Practical model risk guidance for retail quants: monitoring metrics, drift detection methods and cost‑aware retraining schedules to keep ML trading models robust.

Wooden Scrabble tiles spelling 'AI' and 'NEWS' for a tech concept image.

Event‑Driven Backtesting: Simulating News, Central Bank Speeches & Flash Volatility

Simulate news, central‑bank speeches and flash volatility in backtests. Techniques for timestamping, slippage, market impact and execution realism and tests

Close-up of hands analyzing colorful business data reports in an office setting.

Paper Trading Pitfalls: When a Winning Backtest Fails Live — and How to Fix It

Why paper trading/backtests often fail live—slippage, execution gaps, overfitting and drift. Practical fixes: realistic cost models, walk‑forward tests and continuous monitoring.

Close-up of Bitcoin and Litecoin coins on a trading strategies document.

Backtesting Multi‑Asset, Multi‑Timeframe Strategies for FX–Crypto Pairs

Backtesting multi‑asset FX–crypto strategies: pick tick‑level & on‑chain feeds, model slippage/fees, run walk‑forward validation and stress tests.

A businesswoman draws a red financial graph on a glass panel, symbolizing strategy and success.

Building a Robust Forex Backtest Pipeline with Live Data Feeds and Slippage Modeling

Build a production-grade FX backtest pipeline with tick feeds, FIX/WebSocket ingestion, realistic slippage models and walk‑forward validation & audit logs.