Algorithmic-Trading

Unverified ML strategy on Options by ApurvShah007. BotFinder score 18 out of 100.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basi

Source: github

Explorer/Options/Algorithmic-Trading
18
Data index
OptionsMLMedium risk⚠ Unverified

Algorithmic-Trading

ApurvShah007GitHub
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Net return
—
Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
6.3y
BotFinder Analysis

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About

Algorithmic-Trading

Algorithmic Trading I have been deeply interested in algorithmic trading and systematic portfolio management. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to machine learning algorithms. The code majorly uses the pandas and the yfinance libraries. Many of these files contain functions that have been used in further files so the code duplication is minimum. Anyone is welcome to download these files and import and use them in their own endeavours. Anyone interested can learn from this or contribute to it to make this repository a valuable resource for others. If you do end up using the code here for your own project, do leave a mention and star this repo and be on the lookout for more uodates on this repo. All portfolio related functions and optimization scripts have been moved over to my portfolio-optimizer repository. Please visit that if you are interested in systematics portfolio management and optimizations. Contents - Machine Learning Models - Options Fair Pricing - Portfolio Optimization - Basic

Jupyter NotebookMITOpen-sourcealgorithmic-tradingblack-scholesfinancial-analysismonte-carlo-simulationnumpyoption-pricingpandaspandas-dataframe
Track record

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

Risk

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Data unavailable — contact the owner.

Evidence

Verification ledger

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Prop-firm compatibility

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Source
ApurvShah007
Since 2015 · 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
Stars61
Forks7
Open issues8
LanguageJupyter Notebook
LicenseMIT
Last update2020-08-16
Created2020-07-01
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