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Amit Singh's Projects

empyrial icon empyrial

Portfolio Management Framework for risk and performance analysis 投资组合管理

python-nse-option-chain-analyzer icon 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.

python_learing icon python_learing

Day-wise Python Learning resources from basic concepts to advanced Python applications such as data science and Machine learning. It also includes cheat-sheets, references which are logged daily to accelerate your learning.

quantstats icon quantstats

Portfolio analytics for quants, written in Python

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis icon stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us

tortoise-tts icon tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

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