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Value Investing in AI: The Use of Piotroski F-Score to Separate Winners from Losers

Value Investing in AI: The Use of Piotroski F-Score to Separate Winners from Losers

Calculating the accounting-based Piotroski F-Score of 11 selected stocks to identify undervalued assets with strong fundamentals

May 1, 2026

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5 min read

Sharpe & Risk Parity Mean Ulcer Index (UI) Portfolio Optimization & Backtesting of Top 10 Growth Tech Stocks in Python

Sharpe & Risk Parity Mean Ulcer Index (UI) Portfolio Optimization & Backtesting of Top 10 Growth Tech Stocks in Python

How Advanced Portfolio Optimization (PO) Addresses Risk Management & Improves Profitability of Multi-Asset Portfolios vs S&P 500 Benchmark

Apr 29, 2026

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15 min read

Navigating the Financial Maze in an Era of Volatility. Track These 60+ Fundamental Measures in Python

Navigating the Financial Maze in an Era of Volatility. Track These 60+ Fundamental Measures in Python

Financial Health Metrics & KPIs Every Quant Should Know (with Simple Code Examples & Plots in Python !)

Apr 26, 2026

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24 min read

The SMC Edge with EODHD — Why Swings Win Over FVG

The SMC Edge with EODHD — Why Swings Win Over FVG

Backtesting Smart Money Concepts (SMC) Algo-Trading Strategies with EODHD Data for AAPL.US 2025

Apr 25, 2026

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8 min read

Backtesting without Lookahead Bias — 1. SMA Crossovers

Backtesting without Lookahead Bias — 1. SMA Crossovers

Use-Case Examples of Bias-Free Simple Moving Average (SMA) Crossover Trading Strategies in Python

Apr 22, 2026

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12 min read

Seeing Profits from Every Angle: Top 10 Python Radar Charts in Finance You Haven’t Tried Yet

Seeing Profits from Every Angle: Top 10 Python Radar Charts in Finance You Haven’t Tried Yet

Showcasing the Great Business Value of Multivariate Financial Data Visualization using Radar Charts in Python (with Go-To Code Samples)

Apr 21, 2026

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22 min read

Univariate Time Series Forecasting with MOGPTK

Univariate Time Series Forecasting with MOGPTK

Uncertainty Estimation in Multi-Output Gaussian Processes (MOGP) with Variational Inference

Apr 20, 2026

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6 min read

Optimizing ORCL Return-to-Drawdown Performance via Classic and Modified Kaufman’s Adaptive Moving Average (KAMA) in Python

Optimizing ORCL Return-to-Drawdown Performance via Classic and Modified Kaufman’s Adaptive Moving Average (KAMA) in Python

Algo-Trading Profitability Analysis via Backtesting & Full-Scale Parameter Optimization without Look Ahead Bias & Overfitting

Apr 19, 2026

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23 min read

Minimizing False Signals from MA Crossovers with Causal Wiener Deconvolution & Walk-Forward Optimization (WFO) of Instant Returns

Minimizing False Signals from MA Crossovers with Causal Wiener Deconvolution & Walk-Forward Optimization (WFO) of Instant Returns

How Streaming Digital Signal Processing (DSP) & WFO Enhance Profitability of Algorithmic Trading in Python — AAPL Use-Case

Apr 18, 2026

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15 min read

Using Causal 1D Mellin Transform for Market Regime Detection and Scale-Invariant Volatility Analysis in Python

Using Causal 1D Mellin Transform for Market Regime Detection and Scale-Invariant Volatility Analysis in Python

Handling Multiplicative Noise in Financial Time Series: 5-Year PLTR Daily Returns

Apr 14, 2026

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29 min read

Beginner-Friendly Python-Based SMA Backtesting & Parameter Tuning for Long-Term Investing in PLTR

Beginner-Friendly Python-Based SMA Backtesting & Parameter Tuning for Long-Term Investing in PLTR

Simple Data-Driven Technical Analysis of Palantir (PLTR) for Growth-Focused, AI-Centered Investing 🤖

Apr 12, 2026

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24 min read

The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks

The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks

Discovering Profitable Algorithmic Trading Strategies in Python Using Bias-Free Expanding-Window Linear Regression: Backtesting and Out-of-Sample (OOS) Evaluation of Palantir (PLTR) Risk-Adjusted Returns

Apr 11, 2026

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37 min read

Hybrid Machine Learning for Market Regime Detection: SPY, IWM, HYG, LQD & Volatility (VIX)

Hybrid Machine Learning for Market Regime Detection: SPY, IWM, HYG, LQD & Volatility (VIX)

Integrating data wrangling, unsupervised/supervised learning, and interpretability into a unified market regime detection framework in Python 🤖📊

Apr 10, 2026

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45 min read

Intraday Volatility Jump Mean-Reversion (JMR) Trading Strategy for BTC-USD in Python

Intraday Volatility Jump Mean-Reversion (JMR) Trading Strategy for BTC-USD in Python

Bias-Free Profitability of Volatility Jumps with Overnight Gaps Using 1-Minute OHLC Candle Data from Bitstamp

Apr 8, 2026

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25 min read

Volatility Clustering in an Intraday Multi-Asset Universe Using Merton–Hawkes Jump-Diffusion Simulations in Python

Volatility Clustering in an Intraday Multi-Asset Universe Using Merton–Hawkes Jump-Diffusion Simulations in Python

Combining return bootstrapping with self-exciting jump dynamics across stocks, ETFs, indices, and BTC for market microstructure analysis and Monte Carlo scenario testing 🤖💡

Apr 6, 2026

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29 min read

Evaluating a Laplace Trend Strength Strategy Using Backtesting and Out-of-Sample Tests: Evidence from PLTR

Evaluating a Laplace Trend Strength Strategy Using Backtesting and Out-of-Sample Tests: Evidence from PLTR

Noise-Resilient Algorithmic Trading Using a Laplace Trend Filter in Python (with Tested Codes)

Apr 2, 2026

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31 min read

Why the 50-Day WMA Dominates: A Quantitative Risk-Return Analysis

Why the 50-Day WMA Dominates: A Quantitative Risk-Return Analysis

Filtering the noise and comparing multi-window Weighted Moving Averages against simple averaging techniques.

Mar 31, 2026

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19 min read

Filtering the Chaos: A Quantitative Guide to Multi-Window SMA Strategies

Filtering the Chaos: A Quantitative Guide to Multi-Window SMA Strategies

Decoding Market Trends through Low-Pass Filtering and Backtesting

Mar 30, 2026

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17 min read

Stock Recommendation using Anthropic MCP

Stock Recommendation using Anthropic MCP

Introduction to building rich context AI apps with MCP

Mar 29, 2026

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26 min read

Unlocking Market Insights with Python: Analyzing Rolling Z-Scores in Stock Trading

Unlocking Market Insights with Python: Analyzing Rolling Z-Scores in Stock Trading

Z-Score Trading with Python: Detecting Overbought and Oversold Signals in ASML.AS

Mar 27, 2026

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12 min read

Visualizing Expected Stock Price Movement with Python and Volatility Multipliers

Visualizing Expected Stock Price Movement with Python and Volatility Multipliers

Rolling vs expanding window volatility, standard deviation multipliers, and a backtest that shows exactly how often the model is right — all in Python.

Mar 24, 2026

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25 min read

Future Stock Price Movements with Historical & Implied Volatility using Python and Monte Carlo

Future Stock Price Movements with Historical & Implied Volatility using Python and Monte Carlo

A complete guide to Monte Carlo stock price simulation using historical and implied volatility — with confidence cones, probability zones, and Google Colab notebook inside.

Mar 24, 2026

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23 min read

Charting Market Rhythms: The Rolling Hurst Exponent in Python

Charting Market Rhythms: The Rolling Hurst Exponent in Python

Measure market trend persistence with Python — and know when to follow the crowd

Mar 23, 2026

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17 min read

Plotting Smarter Stock Entries & Exits with K-Reversal in Python

Plotting Smarter Stock Entries & Exits with K-Reversal in Python

Implementation of the Simple, Yet Powerful K-Reversal Indicator

Mar 20, 2026

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15 min read

The Portfolio Math That Runs a $150B Hedge Fund

The Portfolio Math That Runs a $150B Hedge Fund

Why your diversified portfolio probably isn't diversified

Mar 19, 2026

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20 min read

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