There are 2 repositories under simple-moving-average topic.
A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.
📈 Application of neural networks in the prediction of PETR4.SA shares, compared with statistical models
Comparative study between statistical and machine learning based strategies for high frequency trading of assets
Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.
Replication and Sensitivity Analysis of Meb Faber's Momentum Based Timing Strategy + Dynamic Weighting Asset Allocation Extension
Demand forecasting application WPF MVVM
Stock price prediction for HDFC bank based on OHLC, volume and 5SMA.
This Python Code can do SMA back testing on a particular stock and also give optimzed SMA statergy.
Implementation of a simple moving average crossover strategy for AMD's historical data from 2010 to end of 2019.
An EA based on Bollinger Band breakout.
Explore an advanced multi-asset algorithmic trading system with machine learning integration. Optimize strategies, backtest rigorously, and achieve high performance. 🐙📈
Send database table (rows filtered by criteria) to Kafka
Trading strategies with SMA, backtesting, ML, and DNN in Colab.
Multithreaded stock market simulation that allows for different trading bots running various financial strategies and technical indicators. Creates a Market Making Bot running off of AAPL data.
Anomaly-Detection-for-Tesla-Stock-Price-Data
I performed statistical analysis and experimental machine learning strategy using 1 day historical data of Bitcoin
Airline passenger traffic prediction using time series forecasting techniques
📈 Indicadores Crypto inspirados no tradingview
Simple Moving Averages (SMA) and Autoregression (AR) Yule Walker Model for time series data representing temperature change and electrical consumption.
We are examining the correlation between covid-19 mortality/morbidity and vaccination
Python module for calculating stock charts using yfinance and pandas
Simple and Exponential Moving Average Crossover tracking on real-time BTC/USDT trading pair market data
Compare, evaluate, and predict ELAN stock price using Monte Carlo Simulation, FB Prophet, SMA, k-Nearest Neighbors, Arima, LSTM, and EMA.
Statistical Learning with R
EDA performed on timeseries data and different plots to get insights from data visualizations
Comparison of SMA and EMA gains on 1D timeframe
Python scripts for dynamic stock data downloading with validation and an automated trading system using RSI and SMA indicators to optimize trading decisions and assess portfolio performance.