Hasan Ali Gültekin16h ago

A Practical Trading Case Study Series in Python

This series connects the full stack: clean price data → signal design → volatility/risk control → position sizing → portfolio rules → backtesting and monitoring, all with Python code you can reuse.

 https://medium.com/write-a-catalyst/a-practical-trading-case-study-series-in-python-8454624a81fd

#Python #Quant #Trading #RiskManagement #TimeSeries #ai #medium #programming

@ai @socialsciences @programming
@towardsdatascience @pythonclcoding @chartrdaily @medium @Mastodon

Rxiv mechanobio18h ago
📰 "General framework for quantifying entanglement production in ultracold molecular collisions and chemical reactions"
https://arxiv.org/abs/2601.17144 #Physics.Atom-Ph #Mechanics #Quant-Ph #Matrix
General framework for quantifying entanglement production in ultracold molecular collisions and chemical reactions

Entanglement, a defining feature of quantum mechanics, arises naturally from interactions between molecular systems. Yet the precise nature and quantification of entanglement in the products of molecular collisions and reactions remain largely unexplored. Here, we show that coupling between the external (motional) and internal degrees of freedom of the colliding molecules generates diverse forms of product-state entanglement: discrete-discrete, continuum-continuum, and hybrid discrete-continuum. We develop a general theoretical framework to quantify these entanglement forms directly from scattering S-matrix elements and identify a novel class of entangled states-multimode hybrid cat states, that exhibit multimode discrete-continuum entanglement. Although applicable at arbitrary collision energies, the formalism is illustrated in the ultracold and cold regimes for inelastic Rb+SrF and Rb+Sr$^+$ collisions, as well as the chemical reaction F+HD $\rightarrow$ HF+D, DF+H. We demonstrate that entanglement can be efficiently controlled near magnetic Feshbach resonances, paving the way for precise magnetic control of product-state entanglement generation in ultracold molecular collisions.

arXiv.org
Hasan Ali Gültekin1d ago

Series #1: How to Build a Clean Price Dataset (Trading Data) — Python Solution

This post shows a practical cleaning pipeline: normalize timestamps, handle splits/dividends (where needed), remove duplicates, fill gaps carefully, and run sanity checks so your backtests don’t lie.

 https://medium.com/@hasanaligultekin/series-1-how-to-build-a-clean-price-dataset-trading-data-python-solution-75322da651d6

#Python #Trading #Quant #DataEngineering #TimeSeries #ai #programming

@ai @socialsciences @programming @medium @towardsdatascience @pythonclcoding @Mastodon

Hasan Ali Gültekin1d ago

I have already created a 7-step starter series for the trading pipeline, and you can use it to get a clear idea of the full workflow here:

 https://hasanaligultekin.medium.com/list/a-practical-trading-case-study-in-python-bf671c43fa01

I hope you find it useful—enjoy the read.

#Python #Quant #Trading #RiskManagement #TimeSeries #DataScience #market #machineLearning #ai

@ai @programming @socialsciences @medium @towardsdatascience @Mastodon @pythonclcoding

Rxiv mechanobio1d ago
📰 "Engineering Near-Infrared Two-Level Systems in Confined Alkali Vapors"
https://arxiv.org/abs/2601.16269 #Physics.Atom-Ph #Physics.App-Ph #Dynamics #Quant-Ph #Cell
Engineering Near-Infrared Two-Level Systems in Confined Alkali Vapors

We combined experimental and theoretical investigations of an effective two-level atomic system operating in the near-infrared telecom wavelength regime, realized using hot rubidium vapor confined within a sub-micron-thick cell. In this strongly confined geometry, atomic coherence is profoundly influenced by wall-induced relaxation arising from frequent atom-surface collisions. By analyzing both absorption and fluorescence spectra, we demonstrate that the optical response is dominated by a closed cycling transition, which effectively isolates the atomic dynamics to a two-level configuration despite the presence of multiple hyperfine states. This confinement-induced selection suppresses optical pumping into uncoupled states and enables robust, controllable light-matter interaction at telecom wavelengths within a miniature atomic platform. Our results establish a practical route to realizing near-infrared atomic two-level systems in compact vapor-cell devices, opening new opportunities for integrated quantum photonic technologies, including on-chip quantum memories, telecom-band frequency references, and scalable quantum information processing.

arXiv.org
Hasan Ali Gültekin2d ago

A Practical Trading Decision Pipeline in Python: A Starter Guide

This post walks through an end-to-end workflow: clean returns, estimate volatility, generate a simple signal, size positions with risk control, and evaluate with realistic backtest rules in Python.

 https://medium.com/@hasanaligultekin/a-practical-trading-decision-pipeline-in-python-a-starter-guide-ecc2ed69c065

#Python #Quant #Trading #RiskManagement #TimeSeries #DataScience #market #machineLearning #ai

@ai @programming @socialsciences @medium @pythonclcoding @towardsdatascience @chartrdaily @pythonhub

InaiMathi ツ3d ago

Another reason why hardly no one in the real world uses web services, apps etc from outside the US is that most of them have terrible names, and I mean really terrible names.

Go and tell someone you saw something interesting on #Mastodon or #Alugha and had to do a lil research about it using #Quant or #Ecosia, and while doing so you came across a few awesome pics on #Pixelfed... they'll just laugh at you! 😉

Another example: #Starlink vs #Eutelsat. I mean... holy sh*t! 😆

Long3Quant3d ago

Monday market state.
Cross-asset risk posture and structure.

#markets #macro #quant

Hasan Ali Gültekin5d ago

Build a Monte Carlo Risk Simulator (Simple Scenario Engine) — Python Solution

A simple scenario engine for VaR, CVaR, and stress testing.

This post shows how to generate return scenarios, compute VaR/CVaR, and run simple stress tests—plus the checks that make the results believable (distribution fit, tails, and sensitivity).

 https://medium.com/@hasanaligultekin/build-a-monte-carlo-risk-simulator-simple-scenario-engine-python-solution-f4ee48d4bcd7

#Python #RiskManagement #Quant #MonteCarlo #Finance #medium

@ai @programming @towardsdatascience @pythonclcoding @medium @chartrdaily

sayzard6d ago

[Show GN: API 비용 0원으로 만든 집단 지성 투자 분석 대시보드 'Quant Compass'

Quant Compass는 사용자 참여형 데이터(Crowd Data)를 활용해 개인 투자 판단을 돕는 집단 지성 투자 분석 대시보드입니다. 금융 데이터 API 비용을 0원으로 줄이면서도, 50개 이상의 퀀트 시나리오를 통해 시장 상황을 진단하고, 사용자 데이터를 기반으로 시장 참여자들의 포지션 분포를 시각화합니다.

https://news.hada.io/topic?id=26014

#quant #crowddata #investment #dashboard #finance

API 비용 0원으로 만든 집단 지성 투자 분석 대시보드 'Quant Compass'

<p>내용: 안녕하세요. 개인적인 투자 판단을 돕기 위해 사이드 프로젝트로 개발한 Quant Compass를 소개합니다.</p> <p>개발 배경 & 특징 금융 데...

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