This brings us to a fundamental fork in the road for every aspiring quant: to use a feature-rich, off-the-shelf trading platform like MotiveWave or Quantower, or to build a bespoke trading application from the ground up using a direct, high-performance Application Programming Interface (API) like those offered by Rithmic

For aspiring and established professionals in banking, AI quant trading, and quantitative finance, the message is stark and unforgiving: adapt or be rendered irrelevant

A stark new dividing line is being drawn, not by a market crash or a regulatory shift, but by a version number: Cpp 26.

https://www.youtube.com/watch?v=TrCfhizFZdw

This article reviews one such experience with Financial Modeling Prep API (FMP), highlighting recent issues and offering alternative solutions for those seeking reliable financial data.

Citadel, the multi-trillion dollar hedge fund and market-making behemoth, has hired William Dealtry, a key architect of Man Group's prized database, ArcticDB. This is a high speed data base.

The Simplicity Advantage: Why Streamlit Outshines Grafana and QuestDB for Trading Algorithm Simulations. There is a reason why you should...

As passive investing continues to absorb a substantial share of assets under management, retail quants may emerge as a countervailing, stabilizing force within the market ecosystem.

As reported by eFinancialCareers, a new contender, Rust vs C#, is beginning to challenge C#'s position, not in a full-frontal assault, but through a series of strategic, targeted replacements in performance-critical areas.

Now, as large language models (LLMs) like ChatGPT trading demonstrate increasingly sophisticated capabilities, a pressing question emerges: can these AI systems effectively serve as quantitative analysts for trading?

The financial markets are a complex, ever-shifting landscape. For traders seeking an edge, the allure of algorithmic trading course – using computer programs to execute trading strategies – has never been stronger. It promises discipline, speed, and the ability to analyze vast amounts of data far beyond human capacity.

Kenneth Griffin, the founder of Citadel and a towering figure in modern finance, commands attention not just for the staggering success of his firm – noted in the interview as the most profitable hedge fund in history –

Now, Citadel Securities, arguably one of the most sophisticated users of the language in finance, has signaled its deep commitment and forward-looking strategy by bringing aboard a C++ guru titan, Herb Sutter, who is already encouraging the firm—and implicitly, the industry—to get ready for C++26, the next iteration of the language standard.

The best crypto trading bot for beginners is notorious for its exhilarating highs, gut-wrenching lows, and relentless 24/7 operation.

The Apex Predator of Finance: Can Portfolio Management Offer Millions Without a PhD, Relying Solely on the Track Record?

In the fast-paced world of automated trading, where milliseconds can translate into significant profits or losses, the ability to...

Amplified Risks: Analyzing the Role of Leverage in Renaissance Technologies' Losses Introduction: The Double-Edged Sword of Financial Engin

The world of options analysis and trading is characterized by its complexity and speed. Traders grapple with multi-dimensional data – str

The financial markets are a dynamic landscape, constantly evolving with shifts in global economies, geopolitical events, and investor sentim

HFT Tracker: Call-Put Parity and the Value of Futures Option Chain Data In the frenetic world of high-frequency trading  or HFT tracker, wh