Preetham-R-B's Stars
VarunS2002/Python-NSE-Option-Chain-Analyzer
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
quantopian/zipline
Zipline, a Pythonic Algorithmic Trading Library
kernc/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Rambahadur71/Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python
everyfin-in/sector-rotation-strategy
Equity Trading Strategy using systematic sector rotation. The strategy is based on part 1 (Rate of Change) of the paper written by Paolo Sassetti and Massimiliano Tani in 2003. The code implements the trading strategy using the 19 different sectors classified on BSE in India.
ParthVatsalya/Algorithmic-Trading-Strategies-Python
Algorithmic Trading Stratagies for stocks listed on National Stock Exchange India(NSE -India) with buy and sell logic
techietrader/Pairs-Trading-Indian-Stocks-using-Machine-Learning
keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test
deshwalmahesh/NSE-Stock-Scanner
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
ethics/Automatic-Trading-using-Artificial-Intelligence-machine-Learning-on-Indian-Stock-Market-_Zerodha
Online trading using Artificial Intelligence Machine leaning with python on Indian Stock Market
ashishkumar30/Stock_Market_Live_Trading_using_AI
The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
hungchun-lin/Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
anurag203/QuantInsti_InterIIT2023
This project examines the effectiveness of candlestick patterns and price action trading strategies in the context of the Indian equities market. Through developing and testing three distinct hypotheses, we provide a nuanced and insightful examination of these techniques and contribute to the ongoing discourse on financial predictions.
TheHardeep/fenix
A Python library for trading in the Indian Finance Sector with support for 15+ broker APIs.
AaryaBhatt9/Stock-price-predictor
It is technically a streamlit based web Stock price predictor having listed the stocks of NSE, BSE, Nasdaq using y-finance. For the model purpose, trained model Fbprophet was used an accuracy of 96% was achieved.
BennyThadikaran/NseIndiaApi
Unofficial Python Api for NSE India stock exchange
InnovateTech-Solutions/ARIMA-Prediction-API
an api made for forecasting NSE stock prices using ARIMA Algorithm
pkjmesra/PKScreener
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Dataherald/dataherald
Interact with your SQL database, Natural Language to SQL using LLMs
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ajcr/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)