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From SPY Underperformance to Macro Alpha Across Bonds, Commodities, and Crypto: A Bayesian-Optimized MAMA/FAMA Crossover Trading Strategy

From SPY Underperformance to Macro Alpha Across Bonds, Commodities, and Crypto: A Bayesian-Optimized MAMA/FAMA Crossover Trading Strategy

A Python-based exploration of the MESA Adaptive Moving Average (MAMA) as a macro regime detector across equities, bonds, commodities, and BTC-USD 🤖

Jun 4, 2026

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22 min read

Backtesting Volume Adjusted Moving Average (VAMA) Trading Strategy: Bayesian Optimization & Granger Causality

Backtesting Volume Adjusted Moving Average (VAMA) Trading Strategy: Bayesian Optimization & Granger Causality

Tuning AAPL VAMA Crossovers with Bayesian Optimization & Granger Causality vs Buy&Hold

May 30, 2026

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21 min read

The Quant Secret Weapon: Win Trades Like Clockwork With Markov Chains

The Quant Secret Weapon: Win Trades Like Clockwork With Markov Chains

From the Markov Property to Hidden Markov Models — Build the Regime Detection Framework Used by Quantitative Hedge Funds, Step by Step in Python

May 28, 2026

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14 min read

Hybrid Machine Learning for Market Regime Detection Part 2: VTI, IWO, JNK, AGG & Volatility (VXX)

Hybrid Machine Learning for Market Regime Detection Part 2: VTI, IWO, JNK, AGG & Volatility (VXX)

Second-Stage Validation & Revision of Market Regime Detection via Machine Learning Clustering & Classification in Python

May 26, 2026

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22 min read

SPX Implied Volatility Surface Modelling

SPX Implied Volatility Surface Modelling

From PCA Factor Decomposition to Monte Carlo Risk Simulation — with Event-Driven Jump Accommodation

May 21, 2026

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8 min read

The Zero Lag DWT Crossover Strategy that Outperforms SMA, EMA & Buy-Hold

The Zero Lag DWT Crossover Strategy that Outperforms SMA, EMA & Buy-Hold

An AAPL Use-Case Example & Python Code of using Backtesting.py to Compare Expected Profits/Risks of DWT, SMA & EMA Crossover Strategies vs Buy-Hold Benchmark

May 17, 2026

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12 min read

How Deep Reinforcement Learning (RL) Pushed My Limits: Games, Setbacks, and Q‐Learning in Finance

How Deep Reinforcement Learning (RL) Pushed My Limits: Games, Setbacks, and Q‐Learning in Finance

From button mashing in games to exploring financial markets with Python RL, one mistake at a time

May 13, 2026

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23 min read

Backtesting Moving Averages Across Multiple Asset Classes

Backtesting Moving Averages Across Multiple Asset Classes

Python-Based EMA Backtesting Across Asset Classes: Out-of-Sample Performance, Volatility, and Drawdowns

May 10, 2026

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21 min read

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

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