Sahin Boydas
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AI in Finance

AI trading, risk management, financial automation, fintech innovation

113 articles·6 content types
Audience

Fintech founders, financial analysts, institutional investors, traders

Pain Points

Regulatory compliance, model risk, data quality, market volatility

Subtopics
algorithmic tradingrisk assessmentfraud detectionfinancial planning AIDeFi
Guide2026-03-10

Backtesting Your Algorithmic Trading Strategy: The Definitive Guide.

A trading strategy is only as good as its backtest. But most people do it wrong. I’m sharing my definitive guide to backtesting your algorithmic trading strategy, including how to avoid common pitfalls like overfitting and lookahead bias. This is essential reading for any serious trader.

Opinion2026-03-01

The Future of Wealth Management is AI-Powered.

Wealth management has traditionally been a service reserved for the ultra-rich. But AI is changing that. I’m exploring how AI is democratizing access to sophisticated wealth management services, from automated portfolio construction to goals-based financial planning.

Opinion2026-02-26

The Future of Financial Crime Fighting.

The fight against financial crime is a global effort, and AI is one of the most powerful weapons in our arsenal. I’m exploring the future of financial crime fighting, from the use of AI in international investigations to the potential for a global financial crime surveillance network.

Opinion2026-02-19

The Future of AI in Banking: Predictions for 2027 and Beyond.

Banking faces its biggest disruption in a century, driven by AI. Predictions for 2027 and beyond, from hyper-personalization to autonomous finance.

Opinion2026-02-17

The Rise of the Quantamental Investor.

A new type of investor is emerging, one who combines the quantitative rigor of a computer with the fundamental insights of a human analyst. They’re called ‘quantamental’ investors, and they represent the future of active management. I’m exploring who they are and how they work.

How-To2026-02-05

How to Build a Credit Scoring Model Using Machine Learning.

Credit scoring is one of the most important and controversial applications of AI in finance. I’m sharing a step-by-step guide to how you can build your own credit scoring model using machine learning, and the ethical considerations you need to keep in mind.

Opinion2026-02-01

The Real Reason Your Robo-Advisor is Underperforming (and How to Fix It).

Your robo-advisor is likely making one critical mistake that’s costing you thousands. I dug into the data of the top platforms and found a surprising pattern of underperformance. I’ll show you what it is, why it happens, and the simple change you can make to fix it.

Opinion2026-01-19

Why AI Crypto Trading Bots Fail

Why AI trading bots struggle in crypto markets: volatility, thin data, overfitting and fees, and the lessons for anyone tempted to build one.

Opinion2026-01-12

How AI is Helping Underbanked Communities Get Access to Financial Services.

Billions of people around the world are still unbanked or underbanked. But AI is offering new hope. I’m exploring how AI is being used to create more inclusive financial systems, from alternative credit scoring models to low-cost mobile banking platforms.

Opinion2026-01-05

How Fintech AI Apps Get Acquired

What it takes to build a fintech AI app acquirers want: the product, the data that matters, the metrics buyers check, and how the sale gets negotiated.

Guide2026-01-04

The Ultimate Guide to Algorithmic Trading Platforms in 2026.

Choosing the right algorithmic trading platform is half the battle. I’ve spent the last year testing and comparing the top platforms on the market. This is the ultimate guide for 2026, covering features, pricing, performance, and everything else you need to know to make the right choice.

Opinion2025-12-30

The Cat-and-Mouse Game of AI-Powered Financial Fraud.

The fight against financial fraud has become a high-stakes, AI-powered cat-and-mouse game. As soon as a new defense is developed, criminals find a new way to attack. I’m taking you to the front lines of this battle to show you how it’s being fought and who’s winning.

Opinion2025-12-25

How AI is Used to Assess Climate Change Risk in Finance.

Climate change is not just an environmental issue; it’s a financial one. I’m exploring how financial institutions are using AI to assess the risks that climate change poses to their portfolios and the broader economy. This is one of the most important and challenging applications of AI in finance today.

Opinion2025-12-25

The Future of Fintech is Embedded. Here's What That Means for You.

The future of fintech isn’t in standalone apps; it’s in embedded experiences. I’m explaining what ‘embedded finance’ means and why it’s the next big wave in the industry. From booking a flight to ordering a pizza, your financial transactions are about to become invisible.

Opinion2025-12-23

Inside a Popular AI Trading Bot's Code

A teardown of a popular AI trading bot: some brilliant engineering, some questionable practices, and why much of the 'AI' turns out to be a script.

Opinion2025-12-19

Quitting a Job to Day Trade With an AI Bot

What happens when someone quits a job to day trade with an AI bot: the honeymoon, the crash, the aftermath, and whether it is ever worth doing.

Opinion2025-12-18

How AI is Helping Banks Fight Back Against Synthetic Identity Fraud.

Synthetic identity fraud is one of the fastest-growing financial crimes in the world. But AI is helping banks fight back. I’m exploring the innovative ways that AI is being used to distinguish between real and synthetic identities, and how it’s turning the tide against the fraudsters.

Opinion2025-12-16

How AI is Used to Combat Money Laundering.

Money laundering is a massive global problem, but AI is making it harder for criminals to hide their illicit funds. I’m exploring the cutting-edge AI techniques that are being used to detect and disrupt money laundering networks, from transaction monitoring to entity resolution.

How-To2025-12-01

How to Use Natural Language Processing to Analyze Financial News.

The news moves markets, but the sheer volume of it is impossible for any human to process. That’s where Natural Language Processing (NLP) comes in. I’m sharing a guide to how you can use NLP to analyze financial news, gauge market sentiment, and find a trading edge.

Opinion2025-11-27

How AI is Used to Predict Customer Churn in Banking.

I'm looking at how banks are using AI to tackle customer churn. It's a fascinating problem, and the solutions are getting more and more sophisticated. Here's what I've learned.