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binancefuturesquantradingframework

bmtcypherbot

cnn-ta

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

energy-weather-modelling

Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.

esp-idf

Espressif IoT Development Framework. Official development framework for Espressif SoCs.

finrl

FinRL: Financial Reinforcement Learning Framework.🔥

keras-tensorflow-financial-time-series-signal-forecast

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

leetcode

LeetCode in pure C

madtoolkit

This repository contains the Milsig Airsoft & Dartsoft Software Development Kit, which can can be built as a airsoft or dartsoft task props box.

mfrc522-examples

Examples for https://github.com/miguelbalboa/rfid

mi-lstm

monte-carlo-simulation-of-stock-price-based-on-real-timeseries-data

Demonstration of how to simulate future stock prices from past price movements in order to get a normal distribution of future stock prices from varying timedeltas.

monte_carlo_simulation

This library allows you to run Monte Carlo simulations on time series

onset_db

Onset data set which can be used to tune/evaluate onset detection algorithms.

qq-pat

The qq-pat library provides you with an easy interface for the creation of graphs and the calculation of statistics for financial time series. It provides functionality similar to the R library PerformanceAnalystics in Python. It allows you to draw graphs, calculate general statistics and perform some advanced analysis such as Monte Carlo simulations and minimum variance portfolio optimizations.

rfid

Arduino RFID Library for MFRC522

rfidshelf

Make your shelf play MP3s!

statsmodels

Statsmodels: statistical modeling and econometrics in Python

time-series-forecasting-using-prophet-library---markov-chain-monte-carlo-method

Assignment - To predict the calls for the Month of May, 2020 while March and April,2020 call volumes are provided

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting