Algorithmic-Trading-Project

Unverified ML strategy on Multi by fischlerben. BotFinder score 18 out of 100.

Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as fea

Source: github

Explorer/Multi/Algorithmic-Trading-Project
18
Data index
MultiMLMedium risk⚠ Unverified

Algorithmic-Trading-Project

fischlerbenGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
5.8y
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About

Algorithmic-Trading-Project

Algorithmic Trading with the Fama-French Three and Five-Factor Models This project set out to examine the Fama-French Three and Five-Factor Models in order to determine which model resulted in the greatest profit. First, a brief background on the Fama-French model (information obtained from https://www.investopedia.com/terms/f/famaandfrenchthreefactormodel.asp): The first model, the Three-Factor Model, is an asset pricing model developed in 1992 by Nobel laureates Eugene Fame and Kenneth French. It expands on the capital asset pricing model (CAPM) by adding size, risk and value factors to the already established market-risk factor in CAPM. According to the Investopedia article mentioned above, "this model considers the fact that value and small-cap stocks outperform markets on a regular basis. By including these two additional factors, the model adjusts for this outperforming tendency, which is thought to make it a better tool for evaluating manager performance." The three factors are: SMB (Small Minus Big returns), HML (High Minus Low returns) and the portfolio's return minus the ri

Jupyter NotebookOpen-sourcealgorithmic-tradinganovafama-frenchlinear-regressionmachine-learningordinary-least-squaresportfolio-analysis
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

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Evidence

Verification ledger

Live-audited
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Source
fischlerben
Since 2023 · 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
Stars32
Forks8
Open issues0
LanguageJupyter Notebook
License—
Last update2021-02-03
Created2021-01-15
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