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Time Series Resources

Konrad Banachewicz Kaggle nbs series

Abhishek Thakur with Konrad Banachewicz Video Series
Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times
Konrad's Kaggle nbs filtered on Time Series - Konrad Banachewicz | Grandmaster | Kaggle

nbs on kaggle and local

TS-0: the basics | Kaggle
TS-1a: smoothing methods | Kaggle
TS-1b: Prophet | Kaggle, many more ...

Graph NNs for time series

Awesome Graph Neural Networks for Time Series Analysis (GNN4TS)
Paper A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Prophet

Neural Prophet Contains paper, github link, tutorials, and related datasets used in tutorials.

  • NeuralProphet is an easy to learn framework for interpretable time series forecasting. NeuralProphet is built on PyTorch and combines Neural Networks and traditional time-series algorithms, inspired by Facebook Prophet and AR-Net.
  • NeuralProphet is best suited for time series data that is of higher-frequency (sub-daily) and longer duration (at least two full periods/years).

Examples

JPX Comp with Regressors and Future dataframe build: Kaggle nb

TSAI

State-of-the-art Deep Learning library for Time Series and Sequences.
TSAI (focus is TS Classification, TS encoded as images, not regression) - Fast.ai student's work using v2. fastai forum post, github, Notebooks

Examples

Use TSAI to create a long-term multivariate time series forecast (LTSF). nb example

General Links and Resources

Tools, Libs, and Terms

Matplotlib Finance. github, uses Sphinx to build docs
Market Calendar python libary.
yfinance - docs, github link, discussion, pypi link. Offers a threaded and Pythonic way to download market data from Yahoo Finance. My Yahoo Porfolio
Rolling Window Library

Stan

Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
GitHub - stan-dev/stancon2023: Materials for StanCon 2023

Advice, Training, and Solutions

JPX solution walkthrough
Derek Banas - Technical Analysis Videos

Resources

Kaggle discussion summarizing Stock, Timeseries resources Kaggle discussion,

Datasets

NIFTY-50 Stock Market Data NSE(National Stock Exchange - India) (2000 - 2021)

Stock price data of the fifty stocks in NIFTY-50 index from NSE India
NSE(National Stock Exchange - India)

UCR Time Series Classification Archive

data, website
colab nb using UCR repository's data.

Time Series Kaggle Competions

2023 Optiver
2021-22 Optiver

Kaggle Notebooks

Stock Analysis + Predictions, LSTM

General Notes

Ideas on how to improve stock predictions

Create features that include but not limited to:

  • Fundamental factors
  • Technical factors
  • Behavioural factors
  • Market microstructure
  • Unique requirements of large institutional players
  • Policy actions

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