QuantEdge Labs
Algorithmic Trading: LSTM-ARIMA from a 7.2 IF Research Paper
A research Vault based on my Elsevier-published paper in Knowledge-Based Systems (IF 7.2). Full code, PDF report, Notion vault and video walkthroughs for LSTM-ARIMA.
Here's what you'll get
- LSTM-ARIMA-VaultUnlock exclusive files, templates, and resources available only here.
Learn about me
Kamil Kashif@kamkas • Joined Apr 2025
Who this is for
- Aspiring QuantWants to break into quant trading and needs a real-world research project to study, reverse-engineer, or build on.
- Algorithmic TraderInterested in deploying AI and time-series models into their backtesting stack. Wants to learn hybrid model logic.
- ML Engineer in FinanceWorking in fintech or trading firms and wants to see how walk-forward, ARIMA, and LSTM can be blended in practice.
- ResearcherLooking for published, peer-reviewed examples of machine learning applied to financial modeling and investment strategies.
Pricing
Join QuantEdge Labs
$29.00 one-time purchase
- Built from a published Elsevier research paper
- Includes full modeling code for ARIMA, LSTM, and hybrid
- Teaches walk-forward optimization in real financial data
- Comes with Notion vault + video walkthroughs
- Designed for intermediate quants, traders, and students
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