| DigHiSci | https://newdigitals.org/ |
| AI | Artificial Intelligence |
| ML | Machine learning |
| Python | MLaaS AIOps use cases |
#AI #technology #jobs #socialmedia #society
#machinelearning #finance
#algorithmictrading
#chatgpt #openai
#chatbot #virtual #sustainability #compliance #green
My Weekly Quant Trading Thoughts (May 2026): Are AI Jobs at Risk?
How AI Is Transforming Jobs and Trading Systems
#python #algorithm #technology #risk #volatility #investing #finance
#fintech
#energy #banking #renewable
#defense
Beyond the Headlines: How These Four Sectors Are Holding Strong Amid Market Volatility
An in-depth quantitative financial analysis of oil and gas, big banks, defense, and renewables during geopolitical shocks: cycles, strength, and nuance
#python #algorithmictrading #technology #fintech #finance
#risk #btc #gold
#stockmarket
Backtesting Moving Averages Across Multiple Asset Classes — Part 3: EMA
Python-Based EMA Backtesting Across Asset Classes: Out-of-Sample Performance, Volatility, and Drawdowns
#python #technology #algorithmictrading #code #programming
#datascience #simulation #statistics #stochastic
#volatility #trading #realtime
#stockmarket
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
#python #machinelearning #technology #finance #riskmanagement #stockmarket
#volatility #investing #algorithmictrading
👉 Hybrid Machine Learning for Market Regime Detection Part 1: SPY, IWM, HYG, LQD & Volatility (VIX) 📈 🤖
Integrating data wrangling, unsupervised/supervised learning, and interpretability into a unified market regime detection framework in Python
#python #technology #finance
#riskmanagement #investing
#automation #optimization #statistics #algorithmictrading
👉 Azapy: A Feature-Rich Python Toolkit for Multi-Risk Portfolio Optimization & Flexible Asset Management 🤖 📈 🐍
Explore 10 Risk Measures × 6 Strategies = 60 Ways to Optimize Your Regime-Robust Portfolios in Pythonic Asset Management 💰
#python #machinelearning #ai
#technology #programming
#automation
#algorithmictrading #investing
#riskmanagement #profit
The Unexpected Profitability of Adaptive Local Linear Regression in Short-Term Trend-Following Strategies of Growth Stocks
Bias-Free Expanding-Window Linear Regression: Backtesting and Out-of-Sample (OOS) Palantir (PLTR) Risk-Adjusted Returns
#exploremore 📈
If you don’t have a Medium membership, you can check it out for free right here: 👇
https://medium.com/@alexzap922/the-unexpected-profitability-of-adaptive-local-linear-regression-in-short-term-trend-following-8f5643b3df96?sk=819d5176d1b06c00ce9e48704667a9be
#python #programming #technology #automation #stock #palantir #backtesting #risk #volatility #machinelearning #ai
#datascience
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
#exploremore 👇
https://medium.com/@alexzap922/a-polynomial-regression-based-trend-following-strategy-vs-market-backtesting-and-out-of-sample-e5720c052ee9?sk=9520ef5ad9cde1e1c520cc47ce9765e5
#python #algorithm #investing
#growth #palantir #backtesting
#technology #optimization #noise #filtering #risk
#volatility #ROI
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)
#exploremore 👇 📈
#python #datascience #technology #analytics #data #online #webscraping #legal #ethics #AI #automation #bot #google #API #profit #risk
Ethical Web Scraping with Python: Doing It Right with Dollar Value in Mind 📈 📝 🧠 💰
Discover the great commercial potential of ethical web scraping and see how it translates into real revenue, all while keeping legal and ethical considerations in mind
