Pinned Repositories
Advanced-ML-techniques
This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
AM_ROSS_vercel_python_deploy
AngryGhidra
Angr plugin for Ghdira
anomaly_detection
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
backtrader
Python Backtesting library for trading strategies
binance-historical-data
Binance Bincoin Exchange historical trading data
binance-public-data
Details on how to get Binance public data
Binance-Trader
Simple Binance Trader as a Telegram Bot with TakeProfit and Stoploss Trades (exact number or percentage) feature
OpenBBTerminalAmRoss
Investment Research for Everyone, Anywhere.
Simple-Binance-Trader
This is a simple trading bot for the binance exchange.
AmandaRossimandi's Repositories
AmandaRossimandi/OpenBBTerminalAmRoss
Investment Research for Everyone, Anywhere.
AmandaRossimandi/AM_ROSS_vercel_python_deploy
AmandaRossimandi/backtrader
Python Backtesting library for trading strategies
AmandaRossimandi/binance-public-data
Details on how to get Binance public data
AmandaRossimandi/Binance-Trader
Simple Binance Trader as a Telegram Bot with TakeProfit and Stoploss Trades (exact number or percentage) feature
AmandaRossimandi/Simple-Binance-Trader
This is a simple trading bot for the binance exchange.
AmandaRossimandi/bitcoin_volatility_forecasting
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
AmandaRossimandi/bta-lib
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
AmandaRossimandi/candlestick-screenerAmRoss
web-based technical screener for candlestick patterns using Python and Flask
AmandaRossimandi/Create-Cryptocurrency-in-Python
This is the code for creating a simple cryptocurrency using the Python programming language
AmandaRossimandi/Crypto-Signal
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
AmandaRossimandi/crypto-trading-server
AmandaRossimandi/cryptolinebot
cryptolinebot
AmandaRossimandi/deep-RL-trading
playing idealized trading games with deep reinforcement learning
AmandaRossimandi/deepo
Set up deep learning environment in a single command line.
AmandaRossimandi/finlab_crypto
Documentation
AmandaRossimandi/FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
AmandaRossimandi/finta
Common financial technical indicators implemented in Pandas.
AmandaRossimandi/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
AmandaRossimandi/pyalgotrading
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
AmandaRossimandi/Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
AmandaRossimandi/scikit-learn
scikit-learn: machine learning in Python
AmandaRossimandi/SOAItnn
Trading Neural Networks
AmandaRossimandi/Stock-Market
Stock Market Prediction & Trading Bot using AI
AmandaRossimandi/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
AmandaRossimandi/ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
AmandaRossimandi/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
AmandaRossimandi/tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
AmandaRossimandi/TV-webhook-FTX-bot
Improved version of the Flask app receiving alerts from TradingView and automatically place an order or send the chart to Discord where you can choose whether to take the trade or not through a bot.
AmandaRossimandi/vectorbt
Python library for backtesting and analyzing trading strategies at scale