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Search results for jupyter notebook backtesting
backtesting
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jupyter-notebook
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39 search results found
Machine Learning For Trading
⭐
9,469
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Fastquant
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1,244
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Stock Analysis Engine
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414
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Pyqstrat
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337
A fast, extensible, transparent python library for backtesting quantitative strategies.
Roboquant
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280
Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform
Pyalgotrading
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213
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
Mastering Python For Finance Second Edition
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157
Sources codes for: Mastering Python for Finance, Second Edition
Machine Learning For Algorithmic Trading Second Edition
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141
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Market Making Backtest
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63
algo trading backtesting on BitMEX
Amazon Lookout For Metrics Samples
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49
Simple Back
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48
A simple daily python backtester that works out of the box.
Bots Lab
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41
Backtesting tool and connector for the platform Bots.
Analysis Sharing
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39
Sharing quantitative analyses on Crypto Lake data
Renko_trend_following_strategy_catalyst
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37
Example of adaptive trend following strategy based on Renko
Pystrategies
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36
Deep learning framework for HFT algorithmic trading strategy development
Pairs_trading_cryptocurrencies_strategy_catalyst
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21
Pairs trading strategy example based on Catalyst
Algo Trader
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16
Personal framework to run trading strategies with Backtrader
Ai For Trading
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14
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
Covid19
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12
COVID-19 Growth Forecast
Mad Money Backtesting
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12
Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
Algotrading
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11
Financial Machine Learning and Algorithmic Trading with Python
Kryptobot
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10
Cryptocurrency Trading Platform
Bitcoinbacktester
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10
Cointegration Bitcoin Backtester
Portfolio_analysis
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8
A loose collection of scripts for technical investing/trading with focus on data scraping, back testing & results generation.
Pedlar_2020
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8
Trading Platform of Imperial Algorithmic Trading society. Contains notebooks and sample projects.
Tradesim
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8
Trading simulator for backtesting of strategy
Alphasignalfrommachinelearning
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7
Vmot
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7
Value/Momentum/Trend strategy modeled on Alpha Architect's VMOT ETF.
Quantitativefinance_rl
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7
Quantitative Finance Approaches in Finance and the RL-based approaches for automated trading
Notebooks_invest
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6
Analyze historical market data using Jupyter Notebooks
Ai_for_trading_nanodegree_breakout_strategy_project
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6
Creating and backtesting a breakout trading signal. For Udacity's AI for Trading Nanodegree.
Zipline Intro
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5
Introductory tutorial for Zipline demonstrating data collection, interactive research, and backtesting of a momentum strategy for equities. Uses free sample data.
Tableqa Chinese
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5
Unsupervised tableQA and databaseQA on chinese finance question and tabular data
Robo Advisor Backtesting
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5
理財機器人實作-包含單因子選股策略、投資組合最佳化、停損再平衡、定期再平衡(下載可直接執行)
Portfolio Optimization
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5
Dynamic portfolio optimization
Docker Trader Notebook
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5
Customized jupyter notebook oriented towards financial market backtesting
Alphavec
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5
Fast minimalist backtesting, sympathetic to the quant process.
Dual Moving Average Crossover Python
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5
The famous and simple Dual Moving Average crossover strategy implemented in Python, and then backtesting it on 2 years of AAPL stock.
Rnn_lstm_trading_model
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5
This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture. This is for single stock prediction and backtesting, another RNN LSTM network and backtester for multiple-stock portfolio will be added soon.
Haasomeapitools
⭐
5
Scripts to interact with Haasomeapi via the python wrapper
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1-39 of 39 search results
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