Identifying Today’s Stock Pattern in Historical Data Considering Current Market Conditions and Visualizing Future Movements in Python.
Feb 15, 2026
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21 min read
A Complete Python Tutorial Using Pomegranate, Baum-Welch, and Viterbi to Detect Bull, Bear, and High-Volatility States
Feb 12, 2026
14 min read
A Comprehensive Guide to Automatically and Freely Acquiring, Processing and Analyzing Historical Earnings Data with Python
Feb 11, 2026
28 min read
End-to-End Guide for Developing a Research Chatbot with OpenAI functions Capable of Semantic Search Across Arxiv
Feb 9, 2026
23 min read
Who, What, and When: Transactional-Level Analysis of Senators’ Trades with Accuracy Measuremenets and Trends Through the FMP API and the SEC website
Feb 4, 2026
26 min read
Simple step-by-step guide on how to estimate the Instrinsic Value of Public Companies Programmatically using the FMP API
Feb 3, 2026
39 min read
Using Advanced DuPont Analysis to Quantify the Impact of Profitability, Asset Turnover, and Leverage on ROE in Python
Jan 31, 2026
31 min read
Step-by-step Guide on Identifying the Nine Fundamental Factors That Separate Great Companies from the Rest in Python
Jan 29, 2026
40 min read
Implementation of a Fine-tuned YOLO Model for Stock Price Patterns Identification. End-to-end Notebook Provided.
Jan 28, 2026
18 min read
How Bootstrap and Historical Simulations Help in Predicting Future Market Prices. End-to-end Notebook Provided.
Jan 27, 2026
22 min read
The Application of Computer Vision for Predicting the Market Ups and Downs in Real-Time. End-to-end Solution Included.
Jan 25, 2026
16 min read
Setting Volatility-Based Stop Losses with Optimized Paramaters
Jan 23, 2026
25 min read
Probability Of Price Changes Occurring Conditional On Initial Price Changes
Jan 20, 2026
Using the Merton Model to Estimate Credit Risk, Simulate Default Probabilities, and Assess Financial Stability.
Jan 19, 2026
Efficient Estimation of Rolling Spreads from Open, High, Low, and Close Data Using Moment Conditions, and GMM Weighting.
Jan 18, 2026
24 min read
Jan 17, 2026
20 min read
Optimizing a classic technical indicator with Bayesian methods – real results from 2023–2024 backtest
Jan 15, 2026
15 min read
Does the 200-Day MA Actually Beat Buy and Hold?
Jan 14, 2026
6 min read
Comparing Risk-Adjusted Performance and Raw Returns in a Simple DMAC Strategy on NVIDIA (NVDA) Stock (2015–2024)
Jan 13, 2026
Jan 12, 2026
Can These Strategies Beat the Market?
Jan 11, 2026
A simple, interpretable trading strategy tuned via evolutionary computation slightly outperforms buy-and-hold in out-of-sample testing (2020–2026) with minimal trades
Jan 7, 2026
Walk-Forward Optimized Forex Strategy Delivering 12.21% Annual Return, 0.90 Sharpe, and Superior Robustness Metrics
Jan 6, 2026
29 min read
Use Time-Aware Linear Models to Capture Local Trend Shifts and Market Behavior Segments
Jan 5, 2026
17 min read
How the 2020 Crash Exposed the Mechanics of Panic, Volatility, and Sector Divergence
Jan 4, 2026
7 min read
