Trading bot service using NestJs with mean reversion & long short algorithms. Using https://alpaca.markets/ as the broker.
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Updated
Dec 10, 2020 - TypeScript
Trading bot service using NestJs with mean reversion & long short algorithms. Using https://alpaca.markets/ as the broker.
📊 Long/Short Equity Portfolio Stress Test
Cointegration screener + cost-aware long-short pairs-trading back-tester with full risk stats.
AI-powered automated pipeline to transform long-form YouTube videos into viral short-form content for TikTok, Instagram Reels, and YouTube Shorts. Built with Python & CustomTkinter.
Bensdorp 의 7개 비상관 트레이딩 시스템 백테스터 (교육용 재구현) — 롱·숏 시스템을 함께 돌려 상관을 낮추는 구조를 검증한다 · Backtester for the 7 non-correlated systems from Laurens Bensdorp
Strat-ML: S&P 500 Alpha Generation Framework:- This repository contains a complete quantitative pipeline designed to outperform the S&P 500 Index using Machine Learning. The project focuses on out-of-sample signal generation using constituent-level OHLCV data, rigorous Blocking Time Series Cross-Validation, and a Long/Short Stock Picking strategy.
Market-neutral strategy bot using long-short equity approach
Audited simulated long/short paper portfolio ledger for LS Paper Fund
A Python project that simulates a portfolio backtest using an equal-weighted long and short portfolio determined by 12-month returns.
Projeto de Field Project, eletiva de 4º período da FGV EPGE, na Oráma Investimentos que visa o desenvolvimento de mecanismos de arbitragem estatística com estratégia de pairs trading no mercado de ações brasileiro.
Research simulator for tax-aware long-short (TALS) investing: lot-level wash-sale accounting, leverage, margin, costs, and after-tax Monte Carlo outcome distributions on synthetic markets.
Pipeline reproductible du mémoire UQAM 2024 : prédiction ML des rendements d'actions canadiennes et américaines avec données macro (LCDMA, FRED-MD), portefeuilles long-short, audit 2026
Factor-based long-short portfolio allocation using Fama-French 3-factor model — Strategy II achieves 828.80% cumulative return vs SPY's 535.62% across 2007–2025 with weekly rebalancing
Machine-learning long/short equity research with point-in-time data, constrained optimization, and audited V6 evidence
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