quicksilverm25

Pinned Repositories

carpe-diem-autobot
An Autobot that does the algorithmic trading of NIFTY BANK, NIFTY Buy CE, PE Options with Risk and Reward Profile.
Language:Java1 1 00
chameleonQuant
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.
Language:Java1 1 00
example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Language:Python1 1 00
java-timeseries
Time series analysis in Java
Language:Java1 1 00
mayhem
The Python asyncio tutorial I wish existed earlier
Language:Python1 1 00
microtrader
A fictitious stock trading microtrader application
Language:Java1 1 00
MLforChaoticTimeSeries
Jupyter Notebook and Dataset used for PyData Delhi Meetup talk.
Language:Jupyter Notebook1 1 03
Options-Trading-Strategies-in-Python
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Language:Python1 1 00
qstrader
QuantStart.com - Advanced Trading Infrastructure
Language:Python1 1 00
volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Language:Python1 1 00

quicksilverm25's Repositories

quicksilverm25/vollib
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
Language:Python1 1 0
quicksilverm25/AlgoTrading
Use the zipline and pyfolio to analyze trades.
Language:Jupyter Notebook1 0
quicksilverm25/Deep-Reinforcement-Learning-in-Stock-Trading
Using deep actor-critic model to learn best strategies in pair trading
Language:Python1 0
quicksilverm25/LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict forex data time series
Language:Python1 0
quicksilverm25/lstm_stock_prediction
This is an LSTM stock prediction using Tensorflow with Keras on top.
Language:Jupyter Notebook1 0
quicksilverm25/pythalesians
Python library to backtest trading strategies, plot charts (via Chartesians), seamlessly download market data, analyse market patterns etc.
Language:Jupyter Notebook1 0
quicksilverm25/RiskMan
Risk, P&L Monitoring for Options trade
Language:Java1 0
quicksilverm25/Sentiment-Analysis-for-Trading
Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS
Language:Python1 0
quicksilverm25/Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Language:Python1 0