Quantitative-Notebooks

Unverified ML strategy on Indices by LongOnly. BotFinder score 18 out of 100.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Source: github

Explorer/Indices/Quantitative-Notebooks
18
Data index
IndicesMLMedium risk⚠ Unverified

Quantitative-Notebooks

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Track record
8.1y
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About

Quantitative-Notebooks

The main objective of this repo is idea generation! Some of these 'strategies' might not be appropriate for consumption ~~due to overfitting~~ (it's meant to be educational) Dependencies: Numpy; Pandas; Matplotlib and Requests (for fetching Yahoo Finance data) Difficulty Moderate: ML Based Pairs Trading - A simple Machine Learning example, Decision Tree Regressors applied to the previous pair (also requires Scikit-Learn) Basic: Long Only Pairs Trading - A simple pairs trading strategy focused on buying the loser! Signal is given by rolling correlation Introductory: Dynamic Asset Allocation & Diversification - Exploring geographical diversification and optimizing capital allocation (also requires Scipy) Market data last updated at 2 July 2020 License This code has been released under the Apache 2.0 License

Jupyter NotebookApache-2.0Open-sourcealgorithmic-tradingalgotradingasset-allocationasset-managementasset-pricingdata-analysisdata-sciencefinancial-analysis
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⚠ No verified equity curve — no track-record source connected.

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Source
LongOnly
Since 2012 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars1,394
Forks216
Open issues0
LanguageJupyter Notebook
LicenseApache-2.0
Last update2020-07-02
Created2018-10-01
StatusArchived (read-only)
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