antonma's Stars
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
twopirllc/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
aiogram/aiogram
aiogram is a modern and fully asynchronous framework for Telegram Bot API written in Python using asyncio
nautechsystems/nautilus_trader
A high-performance algorithmic trading platform and event-driven backtester
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
sdv-dev/SDV
Synthetic data generation for tabular data
pkozul/ha-floorplan
Floorplan for Home Assistant
louisnw01/lightweight-charts-python
Python framework for TradingView's Lightweight Charts JavaScript library.
enarjord/passivbot
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance and Hyperliquid
ExperienceLovelace/ha-floorplan
Bring new life to Home Assistant. By mapping entities to a SVG-object, you're able to control devices, show states, calling services - and much more. Add custom styling on top, to visualize whatever you can think of. Your imagination just became the new limit.
AnalyzerREST/python-tradingview-ta
Unofficial TradingView technical analysis API wrapper.
DaveSkender/Stock.Indicators
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
jsyoon0823/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
jjakimoto/finance_ml
Advances in Financial Machine Learning
TechfaneTechnologies/pytvlwcharts
An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
oanda/oandapy
Python wrapper for the OANDA REST API
tradingstrategy-ai/trading-strategy
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
tysonwu/dash-tradingview
Tradingview Lightweight Charts wrapper for Plotly Dash apps
judopro/Stock_Support_Resistance_ML
Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time serial analysis.
hootnot/saxo_openapi
The saxo_openapi package provides easy access to SAXO Bank OpenAPI (https://www.developer.saxo/openapi/learn). Checkout the Jupyter notebooks covering most aspects of the API.
mihakralj/QuanTAlib
C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
Solano96/AI-Strategies-StockMarket
App to test strategies based on artificial intelligence for investing in the stock market.
cuongitl/python-bitget
An unofficial Python3 library to interact with bitget.com - full support for all API's endpoints. Buy me a coffee: https://buymeacoffee.com/cuongitl
metaapi/metaapi-python-sdk
Python SDK for MetaApi, a professional cloud forex trading API for MetaTrader platform which supports both MetaTrader MetaTrader 5 and MetaTrader 4. Free usage tier available.
markoarnauto/fintuna
Parameter optimization for finance
qbajas/algo-trading
Algotrading strategies for stock market - backtesting based on backtrader framework
masakhwe/Commitment-of-Traders-COT-Analytics
One of the key elements in speculative foreign exchange (forex) trading is identifying the trend of a particular currency pair and trade in that direction. This is easier said than done because ploting trend lines in a trading chart is subjective and will vary amongst different traders especially when considering different timeframes. The best way to identify the trend of a particular currency is gauging the positions held in the currency futures markets by the major participants(asset managers). This is where the Commitment of Traders (COT) data comes into play which is availed by the Commodity Futures Trading Commission (CFTC) weekly on Friday.
Reshui/Commitments-of-Traders-Analysis
Automated Excel Workbook for the analysis of COT data from the CFTC
SlatitudeChou/Smart-money-concept