Insights
Thoughts on algorithmic trading, quantitative finance, and the systems that power them.
Nothing published here constitutes financial advice. All content is for informational and educational purposes only.
Most Recent
Why Algorithmic Trading Outperforms Trading Without a System
The Advantages of a Systematic Approach to Financial Markets
Nexo Mechanics · Jun 1, 2026 · 3 min read · 3
Bitcoin Pizza Day: The $1 Billion Slice of Crypto History
On May 22, 2010, programmer Laszlo Hanyecz made the first Bitcoin transaction, exchanging 10,000 BTC for two Papa John's pizzas. The purchase is now worth near $1 billion. Every year, the crypto community commemorates this moment as Bitcoin Pizza Day.
Ionut Claudiu Fratila · May 22, 2026 · 3 min read · 21
Model Context Protocols for Trading: Is the hype justified?
MCPs are gaining traction in finance-related applications such as stock analysis, financial datasets, broker connectivity, and autonomous trading workflows. Is the hype justified?
Ionut Claudiu Fratila · May 21, 2026 · 5 min read · 12
Nio: The Electric Vehicle Producer Facing Challenges and a Shifting Outlook
Analysing the Decline in Nio’s Share Price and Prospects for the Future.
Ajay Selim · May 11, 2026 · 4 min read · 8
Are AI Indicators Possible on TradingView?
AI indicators are everywhere on TradingView. But what does AI actually mean in Pine Script, and where does the marketing end and the algorithm begin?
Ionut Claudiu Fratila · May 10, 2026 · 6 min read · 12
The America-Iran War and Its Impact on Global Stock Markets
How geopolitical tensions between the US and Iran are reshaping investor behaviour, energy prices, and financial markets worldwide.
Ajay Selim · May 6, 2026 · 3 min read · 6
Mastering Candlestick Pattern Detection: A Complete Guide with Examples
A deep dive into the Nexo Mechanics candlestick pattern indicator, covering all 13 patterns, the ATR and RSI filters, and how to use them effectively.
Marius Antemir · Jan 21, 2026 · 4 min read · 3
Can LLMs Predict the Market? Insights from the Beige Book.
We examined the effectiveness of Large Language Models (LLMs) in forecasting SPX returns using qualitative content from the Federal Reserve's Beige Book.
Ionut Claudiu Fratila · Sep 30, 2024 · 7 min read · 1
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