py-quantmod

Unverified Other strategy on Multi by jackluo. BotFinder score 18 out of 100.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Source: github

Explorer/Multi/py-quantmod
18
Data index
MultiMedium risk⚠ Unverified

py-quantmod

jackluoGitHub
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Net return
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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
9.8y
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About

py-quantmod

Quantmod A powerful financial charting library based on R's Quantmod. Quantmod makes creating interactive financial charts easy and intuitive. Furthermore, Quantmod has over 50 technical indicators built-in, in addition to a variety of technical and quantitative financial tools. Main features Intuitive API Financial charting should not hinder your research and trading. Quantmod aims to provide the most user-friendly API so that you don't need to worry about making charts. Fully interactive financial charts Built on top of Plotly, Quantmod provides interactive, D3.js charting out of the box. No more Matplotlib images! Easily toggle indicators simply by clicking on them, infinitely zoom on any graph, choose preset date ranges and more. Pandas DataFrame integration Because Pandas is the lingua franca of Python data science, Quantmod is tightly based upon the DataFrame object. Easily switch from Series/DataFrame to Chart, and vice-versa. 50+ technical indicators and statistical tools From EMA, to RSI, to BBANDS, to ULTOSC, Quantmod has nearly every indicator out of the box. Indicators ar

Jupyter NotebookMITOpen-sourcedata-sciencedata-visualizationfinancial-charting-librarypandasplotlypythonquantitative-financequantitative-trading
Track record

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

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Source
jackluo
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
Stars192
Forks53
Open issues9
LanguageJupyter Notebook
LicenseMIT
Last update2020-12-08
Created2017-02-11
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