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stanford-project-predicting-stock-prices-using-a-lstm-network

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

statistical_modeling_for_time_series_forecasting

The S&P 500 Market Index is analysed using popular statistical models such as SARIMA, ETS and GARCH. Additionally, a powerful open source forecasting package from Facebook, called Prophet, is also used.

statistical_modeling_of_defi-tokens_time_series

stock-buy-sell-dynamic-programming-fintech

Find the best time to buy and sell stock with transaction fe using Dynamic Programming, implementation in Python.

stock-prediction-models

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

stock-price-trend-classification-and-price-forecast-using-lstm-and-arima-model

stock_market_predictions_neural_net

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 use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocktradingsystem-mlp-regressor

structjour

Tool to automate the daily review of trades

supertrend-crypto-bot

supertrend bot using python, pandas, and ccxt

switcheo-python

Python API for interacting with the Switcheo decentralized exchange

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

telegram-scraper

telegram group scraper tool. fetch all information about group members

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

tf00

thesis

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

time-series-neural-network-grid-search

Grid search for multilayer perceptron neural network for modelling time series data

trading-journal-with-auto-statistic

Trading journal that automatically generates statistics

trading212-api

Trading212 API

tradinggym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

tradingstrategyaita

Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges

tradingview-binance-strategy-alert-webhook

TradingView Strategy Alert Webhook that buys and sells crypto with the Binance API

tradingview-machine-learning-gui

Let Python optimize the best stop loss and take profits for your TradingView strategy.

tradingview-pinescript-indicators

A collection of the various technical indicators implemented in Pine Script Language

tradingview-scraper

tradingview-strategies

tradingview-trainer

A lightweight app for practicing your trading on Tradingview

tradingview-webhook-bot

⚙️ This bot listens to TradingView alerts via webhooks and sends them instantly to Telegram, Discord, Twitter and/or Email.