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Name: Sainpse

Type: Organization

Bio: The Sainpse Institute is a research and product development organization aiming to cultivate, develop and commercialise data driven systems

Location: Johannesburg South Africa

Blog: https:\\www.sainpse.com

Sainpse

The institute utility package

To install use

pip install sainpse pendulum

Usage

The only utltiy function available now is TwelveData financial history data set.
Get token here: https://twelvedata.com/

Example

from sainpse.finance.data.TwelveData import TwelveData

start    = pendulum.parse('2020-05-30 07:00:00',tz='Africa/Johannesburg')
end      = pendulum.parse('2022-01-14 17:00:00',tz='Africa/Johannesburg')
TDH      = TwelveData(start=start,end=end,interval="1min",asset="EUR/USD",token="Your Twelve Data Token")
history  = TDH.getHistory()

Note:

interval (str, required):time frame: 1min, 5min, 15min, 30min, 45min, 1h, 2h, 4h, 8h, 1day, 1week, 1month. Defaults to "15min".

[section]

Sainpse's Projects

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

discern

Discern is a repo dedicated to deep understanding of the leading research & applications of concepts in Deep learning & Data Science in general.

dqn-ddpg_stock_trading

Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.

lightautoml

LAMA - automatic model creation framework

lstnet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

mindall-e

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.