UB FFM: Search Results - Quantitative Trading Strategies Using Python

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Python for Algorithmic Trading Cookbook : Recipes for designing, building, and deploying algorithmic trading strategies with Python
Jason Strimpel ; Jason Strimpel

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Designing Robust Trading Strategies for High-Frequency Markets Using Big Data and Advanced Computational Techniques
Lyu, Hao
2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS) Innovative Approaches in Smart Technologies (ISAS), 2025 9th International Symposium on. :1-4 Jun, 2025

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Quantitative Analysis for Stocks and Cryptocurrencies using Python
Sharma, Akshat ; Goyal, Ashtha ; Gangodkar, Durgaprasad ; et al.
2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT) Electrical Electronics and Computing Technologies (ICEECT), 2024 International Conference on. 1:1-7 Aug, 2024

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Hands-On Financial Trading with Python : A practical guide to using Zipline and other Python libraries for backtesting trading strategies
Jiri Pik ; Sourav Ghosh ; Jiri Pik ; et al.

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A comparative study of the MACD-base trading strategies: evidence from the US stock market
Chio, Pat Tong

Quantitative Finance - P... Quantitative Finance - G...

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Optimal profit-making strategies in stock market with algorithmic trading.
Wang, Haoyu ; Xie, Dejun
Quantitative Finance & Economics. 2024, Vol. 8 Issue 3, p1-27. 27p.

Academic journal

Machine learning-based quantitative trading strategies across different time intervals in the American market.
Wang, Yimeng ; Yan, Keyue
Quantitative Finance & Economics. 2023, Vol. 7 Issue 4, p1-26. 26p.

Academic journal

Identification and Evaluation of Profitable Technical Trading Rules in the Cryptocurrency Market: A Mixed Method Approach.
Abbasi, Milad ; Mousavi, Somayeh Al-Sadat ; Jafari-Nodoushan, Abbasali
Financial Research Journal (FRJ). 2024, Vol. 26 Issue 3, p525-546. 22p.

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Quantitative Trading Method based on Neural Network Machine Learning
Weng, Weinan
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) CACML Algorithms, Computing and Machine Learning (CACML), 2022 Asia Conference on. :600-603 Mar, 2022

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Multi-objective optimization for algorithmic trading in the Vietnamese stock market.
Nguyen, Trung Duc ; Nguyen, Nhat Minh ; Tran, Minh
Bulletin of Electrical Engineering & Informatics; Aug2025, Vol. 14 Issue 4, p2559-2570, 12p

PARTICLE swarm optimizat... RELATIVE strength index... MULTI-objective optimiza... MARKET volatility DIFFERENTIAL evolution

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Pair Trading Strategies using Machine Learning: A Case of PSX Firms.
Sohail, Muhammad Khalid ; Raheman, Abdul ; Adil, Iftikhar Hussain ; et al.
Pakistan Business Review. Oct2020, Vol. 22 Issue 3, p340-351. 12p.

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Comparative Analysis of Various Strategies Used in Algorithmic Trading.
Modwel, Gauri ; Tandon, Chand
Revista Gestão & Tecnologia. 2025 Special Issue, Vol. 25, p46-73. 28p.

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Algorithmic crypto trading using information-driven bars, triple barrier labeling and deep learning.
Grądzki, Przemysław ; Wójcik, Piotr ; Lessmann, Stefan
Financial Innovation. 12/15/2025, Vol. 11 Issue 1, p1-43. 43p.

Academic journal

Applying reinforcement learning in Bitcoin trading to select technical strategies based on Deep Q-Network.
Hoan, Nguyen Thi Thu ; Khang, Nguyen Ngoc ; Khanh, Pham Van
Cogent Economics & Finance. Dec2025, Vol. 13 Issue 1, p1-24. 24p.

Academic journal

Algorithmic Trading Strategies: Leveraging Machine Learning Models for Enhanced Performance in the US Stock Market.
Gurung, Nisha ; hasan, Md Rokibul ; Gazi, Md Sumon ; et al.
Journal of Business & Management Studies (2709-0876). Mar/Apr2024, Vol. 6 Issue 2, p132-143. 12p.

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A Stock Trading Strategy Based on Deep Reinforcement Learning from Multiple Price Charts.
Ayala, Jesus ; Axt, Jaime ; Sepulveda, Carlos ; et al.
Journal of Financial Data Science. Spring2025, Vol. 7 Issue 2, p62-83. 22p.

Academic journal

بررسی راهبردهای معاملاتی در مبادله اختیار خرید سهام های ریلی و تحلیل فرصتهای سوداگری.
سهیلا اجاقی ; کاظم یاوری ; محمد علی فیض پور ; et al.
Journal of Economic Policy. Spring/Summer2025, Vol. 17 Issue 33, p148-179. 32p.

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Automated Bitcoin Trading dApp Using Price Prediction from a Deep Learning Model.
Lua, Zhi Zhan ; Seow, Chee Kiat ; Chan, Raymond Ching Bon ; et al.
Risks. Jan2025, Vol. 13 Issue 1, p17. 25p.

Academic journal

Automated Retrieval and Categorization of SEC Data Using Python.
Bonrath, Annika ; Eulerich, Marc ; Gehlen, Nils
Journal of Information Systems. Summer2025, Vol. 39 Issue 2, p139-155. 17p.

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