simple-moving-average
There are 2 repositories under simple-moving-average topic.
- Language:JavaScript 54
- Language:Go 20
dc-aichara / PriceIndices
A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.
Language:Python 19gprzy / PETR4.SA-forecasting
📈 Application of neural networks in the prediction of PETR4.SA shares, compared with statistical models
Language:Jupyter Notebook 4VishiK-on-github / algorithmic-trading-strategies
Comparative study between statistical and machine learning based strategies for high frequency trading of assets
Language:Jupyter Notebook 4NRHartFRC / Financial-Analysis-Tool
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.
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dingandrew07 / mebfaber_gtaa_model_backtest
Replication and Sensitivity Analysis of Meb Faber's Momentum Based Timing Strategy + Dynamic Weighting Asset Allocation Extension
Language:Jupyter Notebook 2hamdiChehdi / Demand-Forecasting
Demand forecasting application WPF MVVM
Language:C# 2omkarsk98 / StockPricesAnalysis
Stock price prediction for HDFC bank based on OHLC, volume and 5SMA.
Language:Python 2Prem07a / SMA_Backtesting
This Python Code can do SMA back testing on a particular stock and also give optimzed SMA statergy.
Language:Python 2SiddAjriY2Jaccount / sma-crossover-python
Implementation of a simple moving average crossover strategy for AMD's historical data from 2010 to end of 2019.
Language:Jupyter Notebook 2visualxl / RSI-Bands-Breaker
An EA based on Bollinger Band breakout.
Language:MQL4 2arnolddelaguila / Advanced-Multi-Asset-Algorithmic-Trading-System-with-Machine-Learning-Integration
Explore an advanced multi-asset algorithmic trading system with machine learning integration. Optimize strategies, backtest rigorously, and achieve high performance. 🐙📈
Language:Jupyter Notebook 1ignatenko-denis / database-to-kafka
Send database table (rows filtered by criteria) to Kafka
Language:Java 1NiharJani2002 / Advanced-Multi-Asset-Algorithmic-Trading-System-with-Machine-Learning-Integration
Trading strategies with SMA, backtesting, ML, and DNN in Colab.
Language:Jupyter Notebook 1rbala25 / JavaXchange
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.
Language:Java 1zhousrhhh / Anomaly-Detection-for-Stock-Price-Data
Anomaly-Detection-for-Tesla-Stock-Price-Data
alibulutb / Bitcoin-Statistical-Analyze-and-Experimental-Machine-Learning
I performed statistical analysis and experimental machine learning strategy using 1 day historical data of Bitcoin
Language:Jupyter Notebook 0DataScienceVishal / Airline_Passenger_Prediction
Airline passenger traffic prediction using time series forecasting techniques
Language:Jupyter Notebook 0- Indicators
jefter-dev / Indicators
📈 Indicadores Crypto inspirados no tradingview
Language:JavaScript 0 mrgeooo14 / DS-Time-Series-Prediction
Simple Moving Averages (SMA) and Autoregression (AR) Yule Walker Model for time series data representing temperature change and electrical consumption.
Language:Python 0OzgenOzan / covidmortality-vax
We are examining the correlation between covid-19 mortality/morbidity and vaccination
Language:R 0philfoster / stock_chart_tools
Python module for calculating stock charts using yfinance and pandas
Language:Python 0theianchia / crossover-price-signals
Simple and Exponential Moving Average Crossover tracking on real-time BTC/USDT trading pair market data
Language:Jupyter Notebook 0YanjunLin-Andrie / ELAN_stock_prediction
Compare, evaluate, and predict ELAN stock price using Monte Carlo Simulation, FB Prophet, SMA, k-Nearest Neighbors, Arima, LSTM, and EMA.
Language:Jupyter Notebook 0datarocksAmy / R-Series
Statistical Learning with R
Language:R- Language:Jupyter Notebook
- Language:Jupyter Notebook
manasik29 / Time_Series_Forecasting_EDA
EDA performed on timeseries data and different plots to get insights from data visualizations
Language:Jupyter Notebookrudyscav / 1D_SMA_TradingStrategy
Comparison of SMA and EMA gains on 1D timeframe
Language:Jupyter Notebookwasay8 / stockTradingSystem
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.
Language:Python
