Algo Trading
Algorithmic trading, quantitative strategies, and automation
14 articles
Microwave vs. Fiber: The Physics Arms Race and Its Seismic Implications for Algorithmic and High-Frequency Trading
In the ultra-competitive arena of modern financial markets, where fortunes are made or lost in microseconds, a quiet technological revolution is reshaping the battlefield: microwave transmission. While fiber optic cables once reigned supreme as the fastest conduit for market data, a growing cadre of
Gunning the Market: The High-Octane Tactic Fueling Volatility and Front-Running Fears
Picture a drag racer flooring the pedal at the green light—tires screech, engine roars, and the car surges ahead in a burst of raw power. Now translate that to Wall Street: Gunning the market is the trading equivalent, where a player unleashes a massive, aggressive order (or series of orders) to del
Is Quantum Computing Coming Soon in the Financial World?
Quantum computing, once a realm of theoretical physics, is edging closer to practical application in the financial sector. A recent research note from the UK’s Financial Conduct Authority (FCA), authored by Charlie Markham of the FCA and Ross Grassie, formerly of the Quantum Software Lab, delves int
The Speed Premium: How High-Frequency Trading Influences the Cost of Capital – Insights from BIS Working Paper 1290
In an era where financial markets operate at the speed of light, a new study from the Bank for International Settlements (BIS) raises provocative questions about the real-world impacts of high-frequency trading (HFT). Published in September 2025 as BIS Working Paper No. 1290, “The Speed Premium: Hig
Algo Trading for the Masses: How Retail Traders Are Harnessing Algorithms in 2025
In the fast-paced world of financial markets, algorithmic trading—once the exclusive domain of hedge funds and institutional giants—has democratized access to sophisticated strategies for everyday investors. As of September 2025, retail traders are increasingly turning to “algo trading” to automate
Essential Programming Skills for New Entrants in Trading, Financial Analysis, and Asset Management
In today’s fintech-driven world, programming has become a cornerstone skill in the finance industry. With the rise of big data, algorithmic trading, and automated analytics, even entry-level professionals are expected to have at least basic coding abilities to handle data efficiently and automate ro
5 Warning Signs Your Algorithm Is Using a Martingale Trading System: Lessons from Taleb’s Turkey
Algorithmic trading promises discipline, speed, and freedom from human emotion. Yet even in a world of code and automation, systems can be just as vulnerable to the oldest errors in trading psychology: overconfidence, misjudging probabilities, and ignoring tail risk. One of the clearest examples of
MetaTrader 5 Update: Build 5260 Boosts Algo Forge and Refines MQL5 Inheritance
In a move set to empower algorithmic traders and developers, MetaQuotes has rolled out MetaTrader 5 (MT5) platform build 5260, featuring significant enhancements to its Algo Forge environment and pivotal changes to the MQL5 programming language. Released on September 5, this update addresses user pa
The 2025 Playbook: Smart Choices for Algorithmic Traders
Algorithmic trading in 2025 is less about a single “right” stack and more about picking coherent, well-fitted components across research, data, execution, and operations. Below is a pragmatic guide to the choices that matter—and how to combine them into a resilient, cost-aware pipeline that can actu
Rogue Algo Trading Risk in Trading Bots
# When You Buy a Trading Bot Off-the-Shelf, You Hire a Black‑Box Portfolio Manager ## Introduction: Automation Meets Opacity Automated trading products—marketed as “AI-powered bots” or “strategic trading algorithms”—have become ubiquitous in retail finance. You can find them promoted online with pro
cTrader Introduces Native Python Support, Expanding Access to Algorithmic Trading
cTrader, the multi-asset trading platform developed by Spotware, has announced a groundbreaking update with the release of cTrader Windows version 5.4, which introduces native Python support for algorithmic trading. This move makes cTrader the first trading platform to natively support Python, one o
Retail vs. institutional investors in algo trading
Widely available access to technologies investors can use today was unthinkable 10 years ago. Cost of hardware, cloud computing and open source libraries plus an exponential growth of educational resources made possible in some aspects to reduce the gap between retail traders and institutional trade
Social and Copy Trading: Revolutionizing Retail Investment Landscape
The advent of social and copy trading is making ripples in the investment world. This innovative trend is democratizing finance, enabling retail investors to access strategies once reserved for professionals. The key areas to focus on include the robustness of this trend, the platform and technology
A brief introduction to Algo Trading Strategies (1)
Most used algorithmic trading strategies Algorithmic trading, also known as algo-trading or automated trading, is the use of computer programs to execute trading decisions. Algorithmic trading strategies can range from simple to complex, and they can be based on various types of analysis, such as te