FinanceKitFinanceKit is a Framework for iOS and Mac to build apps working with financial data, like money, currencies, stocks, portfolio, transactions and other concepts.
Stars: ✭ 15 (-91.62%)
stockiThe CLI for fetching stock market data
Stars: ✭ 32 (-82.12%)
AutoTraderA Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Stars: ✭ 227 (+26.82%)
GoPlan-appAn intuitive portfolio mangaer !
Stars: ✭ 27 (-84.92%)
yfMongoMongoDb tool to store stock Yahoo Finance market data in a consistent way
Stars: ✭ 32 (-82.12%)
web trader📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.
Stars: ✭ 21 (-88.27%)
YahooqueryPython wrapper for an unofficial Yahoo Finance API
Stars: ✭ 288 (+60.89%)
TickerTerminal stock ticker with live updates and position tracking
Stars: ✭ 3,986 (+2126.82%)
FinanceopsResearch in investment finance with Python Notebooks
Stars: ✭ 378 (+111.17%)
tstock📈A command line tool to view stock charts in the terminal.
Stars: ✭ 498 (+178.21%)
QuantdomPython-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
Stars: ✭ 449 (+150.84%)
Finance Go📊 Financial markets data library implemented in go.
Stars: ✭ 392 (+118.99%)
FinancedatabaseThis is a database of 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets.
Stars: ✭ 554 (+209.5%)
TrendywaysSimple javascript library containing methods for financial technical analysis
Stars: ✭ 121 (-32.4%)
Finance Pythonpython tools for Finance with the functionality of indicator calculation, business day calculation and so on.
Stars: ✭ 238 (+32.96%)
capm shinyDemo project of creating an interactive analytical tool for stock market using CAPM.
Stars: ✭ 31 (-82.68%)
Python Trading RobotA trading robot, that can submit basic orders in an automated fashion using the TD API.
Stars: ✭ 235 (+31.28%)
pair-trading-viewPair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.
Stars: ✭ 45 (-74.86%)
market-monitorInteractive app to monitor market using Python
Stars: ✭ 20 (-88.83%)
InvestmentsHelps you with managing your investments
Stars: ✭ 213 (+18.99%)
NSEDownloadPython Library to get historical, adjusted data and generate trailing returns of stocks and indices on the NSE
Stars: ✭ 65 (-63.69%)
fhubPython client for Finnhub API
Stars: ✭ 31 (-82.68%)
Sina Stock CrawlerSina stock options crawler with CSV output 新浪上证ETF期权数据爬虫
Stars: ✭ 12 (-93.3%)
StockseraWeb application that provides alternative data to retail investors
Stars: ✭ 426 (+137.99%)
Awesome Investing 💸💸 Curated list of investment & finance related resources
Stars: ✭ 935 (+422.35%)
Pandas TaTechnical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+437.43%)
RobinhoodUnofficial Documentation of Robinhood Trade's Private API
Stars: ✭ 1,569 (+776.54%)
DegiroapiAn unofficial API for the trading platform Degiro, with the ability to get real time data and historical data
Stars: ✭ 114 (-36.31%)
Py Market ProfileA library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
Stars: ✭ 153 (-14.53%)
Gobacktestevent-driven backtesting framework written in golang
Stars: ✭ 113 (-36.87%)
JgnashjGnash Personal Finance
Stars: ✭ 112 (-37.43%)
AlphalensPerformance analysis of predictive (alpha) stock factors
Stars: ✭ 2,130 (+1089.94%)
Iextrading4jIEX Cloud open source API wrapper
Stars: ✭ 112 (-37.43%)
Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stars: ✭ 112 (-37.43%)
Simfin TutorialsTutorials for SimFin - Simple financial data for Python
Stars: ✭ 150 (-16.2%)
FireflymobileMobile Application for Firefly III written in Kotlin
Stars: ✭ 172 (-3.91%)
PresentationsSlide show presentations regarding data driven investing.
Stars: ✭ 162 (-9.5%)
AatAsynchronous, event-driven algorithmic trading in Python and C++
Stars: ✭ 109 (-39.11%)
Zvtmodular quant framework.
Stars: ✭ 1,801 (+906.15%)
SimfinSimple financial data for Python
Stars: ✭ 162 (-9.5%)
BovespaPython package that reads the historical quote files from BM&FBovespa (Brazillian Stock Exchange)
Stars: ✭ 108 (-39.66%)
StockrecommendsystemAn intelligent recommender system for stock analyzing, predicting and trading
Stars: ✭ 106 (-40.78%)
Tradingview TrainerA lightweight app for practicing your trading on Tradingview
Stars: ✭ 106 (-40.78%)
LiteexchangeMy programming lab : multithreaded order matching engine in C++11 using FIX for order entry for Linux/Windows , no 3rd party libraries
Stars: ✭ 142 (-20.67%)
Strategems.jlQuantitative systematic trading strategy development and backtesting in Julia
Stars: ✭ 106 (-40.78%)
TradingbotAutonomous stocks trading script
Stars: ✭ 99 (-44.69%)
AvanzaA JavaScript client for the unofficial Avanza API
Stars: ✭ 177 (-1.12%)
PiecashPythonic interface to GnuCash SQL documents
Stars: ✭ 172 (-3.91%)
Stock.indicatorsStock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.
Stars: ✭ 157 (-12.29%)
Tf deep rl traderTrading Environment(OpenAI Gym) + PPO(TensorForce)
Stars: ✭ 139 (-22.35%)
Oandapyv20 ExamplesExamples demonstrating the use of oandapyV20 (oanda-api-v20)
Stars: ✭ 102 (-43.02%)
Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock 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
Stars: ✭ 101 (-43.58%)