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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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24 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

How I Found an Edge on Polymarket Using a 40 Year Old Formula

How I Found an Edge on Polymarket Using a 40 Year Old Formula

How Wall Street's 40-year-old options formula reveals mispriced bets on Polymarket

Mar 17, 2026

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16 min read

The Math That Prints Money on Polymarket — And Why 93% of Traders Never Learn It

The Math That Prints Money on Polymarket — And Why 93% of Traders Never Learn It

How LMSR, EV, and Kelly Turn Prediction Markets from Vibes into a Compounding Machine

Mar 16, 2026

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18 min read

The Quant Playbook for Polymarket: 6 Formulas Hedge Funds Use to Extract Millions in 2026

The Quant Playbook for Polymarket: 6 Formulas Hedge Funds Use to Extract Millions in 2026

6 Hedge Fund Formulas to Extract $500+ Daily Edges from Polymarket – Retail Trader Implementation

Mar 15, 2026

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14 min read

Riding the Waves of Stock Prices with Wavelet Transform Signals in Python

Riding the Waves of Stock Prices with Wavelet Transform Signals in Python

Towards Unlocking Market Signals for Clearer Trading Insights

Mar 14, 2026

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19 min read

Modelling Extreme Stock Market Events With Copulas in Python

Modelling Extreme Stock Market Events With Copulas in Python

How Would Your Stocks React to the Next Market Drop? Estimating Portfolio Movements in Different Market Scenarios

Mar 12, 2026

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25 min read

Further Implementation of Dynamic Risk Management Methods in Python

Further Implementation of Dynamic Risk Management Methods in Python

15 Time-varying Techniques for Proactive Risk Analytics [Part 2/2]

Mar 11, 2026

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29 min read

Dynamic Risk Management using Rolling Stock Price Metrics in Python

Dynamic Risk Management using Rolling Stock Price Metrics in Python

15 Time-varying Techniques for Proactive Risk Analytics [Part 1/2]

Mar 9, 2026

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30 min read

Algorithmically Identifying Stock Price Support & Resistance in Python

Algorithmically Identifying Stock Price Support & Resistance in Python

7 Essential Methods to Discover Key Price Levels in Stock Prices

Mar 7, 2026

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27 min read

Does the Stock Market still Overreact?

Does the Stock Market still Overreact?

Buying Losers and Selling Winners In Python in the Modern Digital Era

LockSimple

Mar 7, 2026

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19 min read

Predicting Market Crashes With Topology in Python

Predicting Market Crashes With Topology in Python

Beyond Traditional Indicators for Insights Into Market Behavior

Mar 5, 2026

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19 min read

Top 36 Moving Average Methods For Stock Prices in Python [4/4]

Top 36 Moving Average Methods For Stock Prices in Python [4/4]

Niche to Noteworthy —Jurik, McGinley, EPMA, Kijun and More

LockSimple

Mar 3, 2026

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37 min read

Top 36 Moving Average Methods For Stock Prices in Python [3/4]

Top 36 Moving Average Methods For Stock Prices in Python [3/4]

Advanced Weighting — VIDYA, LSMA, eVWMA, and Their Peers

Mar 3, 2026

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33 min read

Forecasting Volatility with ARCH Models: Capturing Clusters in Financial Markets

Forecasting Volatility with ARCH Models: Capturing Clusters in Financial Markets

Understanding and Implementing the ARCH Model for Time-Varying Volatility — A Practical Python Guide Using Apple Stock Data

LockSimple

Feb 25, 2026

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19 min read

Top 36 Moving Average Methods For Stock Prices in Python [1/4]

Top 36 Moving Average Methods For Stock Prices in Python [1/4]

The Fundamentals — SMA, EMA, WMA, KAMA and Their Nuances

Feb 25, 2026

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32 min read

Top 36 Moving Average Methods For Stock Prices in Python [2/4]

Top 36 Moving Average Methods For Stock Prices in Python [2/4]

Adaptive and Dynamic — FRAMA, ZLEMA, Rainbow, and Beyond

LockSimple

Feb 25, 2026

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29 min read

Building a Statistical Arbitrage Strategy from Scratch in Python

Building a Statistical Arbitrage Strategy from Scratch in Python

A Step-by-Step Guide to Signal Generation, PnL Calculation, and Visualization using Pandas

LockSimple

Feb 24, 2026

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43 min read

Backtesting Trading Indicators with Lumibot: A Mean Reversion Strategy

Backtesting Trading Indicators with Lumibot: A Mean Reversion Strategy

Let’s dive deep into how Lumibot can streamline the backtesting of different strategies for a mean reversion strategy.

Feb 20, 2026

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15 min read

Visualizing Market Structure: Adaptive ATR Bands, Real-Time Momentum, and Price Clustering

Visualizing Market Structure: Adaptive ATR Bands, Real-Time Momentum, and Price Clustering

A Python-based approach to detect trend regimes, spot early transitions, and reveal where price truly consolidates within swings

Feb 20, 2026

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14 min read

Building a 12-Month Time-Series Momentum Strategy to Reduce Drawdowns

Building a 12-Month Time-Series Momentum Strategy to Reduce Drawdowns

Long-term trend following with volatility targeting using Python

LockSimple

Feb 18, 2026

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14 min read

A Polynomial Regression–Based Trend-Following Strategy vs Market: Backtesting and Out-of-Sample Results

A Polynomial Regression–Based Trend-Following Strategy vs Market: Backtesting and Out-of-Sample Results

Discovering Profitable Algorithmic Trading Strategies in Python with Polynomial Regression — A PLTR Use Case

Feb 16, 2026

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33 min read

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