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Aug 30, 2026

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9 min read

How I Used Claude To Automate My Daily Options Income Strategy

Aug 25, 2026

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Time Series Momentum Analysis: A Closer Look With Python

Aug 22, 2026

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10 Hybrid Forecasting Architectures Blending Deep Learning with Time Series Models

Aug 20, 2026

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Advanced Python Visualizations Every Quant Should Know — Part 3: Multi-Asset Risk, Return & Volatility Analysis with Essential Statistical KPIs

Aug 18, 2026

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18 min read

Advanced Python Visualizations Every Quant Should Know — Part 2: Distribution & Statistical Charts

Aug 16, 2026

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17 min read

Advanced Python Visualizations Every Quant Should Know — Part 1: Relationship & Correlation Charts

Aug 12, 2026

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19 min read

Can Bayesian Change Point (CP) Detection Perform Volatility-Based Market Regime Segmentation?

Aug 8, 2026

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14 min read

How a Three-Agent AI System Debates Every Trade — and Only Pulls the Trigger When They All Agree

Jul 24, 2026

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21 min read

Risk-Aware Hammer + RSI Mean-Reversion Trading Strategy: Grid-Search Backtesting and Walk-Forward Optimization on TSLA

Jul 12, 2026

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21 min read

Looking for Market Twins: How MASS Finds Similar Trading Patterns Beyond Technical Indicators

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Expected Upside Potential Meets HAR Volatility: A Quant Framework for Take-Profit Timing

Sep 2, 2026

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4 min read

Expected Upside Potential Meets HAR Volatility: A Quant Framework for Take-Profit Timing

Optimizing Sell Decisions for the Magnificent Seven Portfolio with Python

Ayrat Murtazin

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I unveil for FREE the simple strategy that allows me and a lot of traders to make at least 10% profits on single quick trades with examples — $BNTC $IHT $WISH

Algorithmic Trading Strategies

5 Strategies in Quant Trading Algorithms

Sep 7, 2025

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8 min read

5 Strategies in Quant Trading Algorithms

Trading

Sep 4, 2025

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18 min read

After 3 years of trading, I am proud to say I have achieved (measured and proven) consistent profitability!

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Sep 2, 2026

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4 min read

Expected Upside Potential Meets HAR Volatility: A Quant Framework for Take-Profit Timing

Optimizing Sell Decisions for the Magnificent Seven Portfolio with Python

Ayrat Murtazin

How I Used Claude To Automate My Daily Options Income Strategy

Aug 30, 2026

•

9 min read

How I Used Claude To Automate My Daily Options Income Strategy

From strike selection to stop-loss logic to a live paper trading log, how a Claude Project turned into a fully autonomous QQQ options strategy.

Ayrat Murtazin

Time Series Momentum Analysis: A Closer Look With Python

Aug 25, 2026

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6 min read

Time Series Momentum Analysis: A Closer Look With Python

A guide to systematically follows asset price persistence and how investors and businesses can apply it.

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10 Hybrid Forecasting Architectures Blending Deep Learning with Time Series Models

Aug 22, 2026

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19 min read

10 Hybrid Forecasting Architectures Blending Deep Learning with Time Series Models

An Extended FinTech Python Framework for Multi-Asset Risk, Return, Volatility, and Portfolio Analytics Across Equities, Bonds, Gold, and Crypto — Plus Bonus KPIs

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Advanced Python Visualizations Every Quant Should Know — Part 3: Multi-Asset Risk, Return & Volatility Analysis with Essential Statistical KPIs

Aug 20, 2026

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21 min read

Advanced Python Visualizations Every Quant Should Know — Part 3: Multi-Asset Risk, Return & Volatility Analysis with Essential Statistical KPIs

An Extended FinTech Python Framework for Multi-Asset Risk, Return, Volatility, and Portfolio Analytics Across Equities, Bonds, Gold, and Crypto — Plus Bonus KPIs

Ayrat Murtazin

Advanced Python Visualizations Every Quant Should Know — Part 2: Distribution & Statistical Charts

Aug 18, 2026

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18 min read

Advanced Python Visualizations Every Quant Should Know — Part 2: Distribution & Statistical Charts

Master Top 10 advanced Python FinTech data visualization techniques for distribution & statistical charts

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Most Recent

How I Used Claude To Automate My Daily Options Income Strategy

Time Series Momentum Analysis: A Closer Look With Python

10 Hybrid Forecasting Architectures Blending Deep Learning with Time Series Models

Advanced Python Visualizations Every Quant Should Know — Part 3: Multi-Asset Risk, Return & Volatility Analysis with Essential Statistical KPIs

Advanced Python Visualizations Every Quant Should Know — Part 2: Distribution & Statistical Charts

Advanced Python Visualizations Every Quant Should Know — Part 1: Relationship & Correlation Charts

Can Bayesian Change Point (CP) Detection Perform Volatility-Based Market Regime Segmentation?

How a Three-Agent AI System Debates Every Trade — and Only Pulls the Trigger When They All Agree

Risk-Aware Hammer + RSI Mean-Reversion Trading Strategy: Grid-Search Backtesting and Walk-Forward Optimization on TSLA

Looking for Market Twins: How MASS Finds Similar Trading Patterns Beyond Technical Indicators

Expected Upside Potential Meets HAR Volatility: A Quant Framework for Take-Profit Timing

Subscribe to Our Newsletter

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I unveil for FREE the simple strategy that allows me and a lot of traders to make at least 10% profits on single quick trades with examples — $BNTC $IHT $WISH

5 Strategies in Quant Trading Algorithms

After 3 years of trading, I am proud to say I have achieved (measured and proven) consistent profitability!

Latest Posts

Expected Upside Potential Meets HAR Volatility: A Quant Framework for Take-Profit Timing

How I Used Claude To Automate My Daily Options Income Strategy

Time Series Momentum Analysis: A Closer Look With Python

10 Hybrid Forecasting Architectures Blending Deep Learning with Time Series Models

Advanced Python Visualizations Every Quant Should Know — Part 3: Multi-Asset Risk, Return & Volatility Analysis with Essential Statistical KPIs

Advanced Python Visualizations Every Quant Should Know — Part 2: Distribution & Statistical Charts