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Search results for jupyter notebook trading strategies
jupyter-notebook
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trading-strategies
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51 search results found
Machine Learning For Trading
⭐
9,469
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Gs Quant
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2,272
Python toolkit for quantitative finance
Stock_analysis_for_quant
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1,483
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Quantresearch
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1,410
Quantitative analysis, strategies and backtests
Fastquant
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1,244
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Machine Learning Asset Management
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1,159
Machine Learning in Asset Management (by @firmai)
Sgx Full Orderbook Tick Data Trading Strategy
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1,151
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Ai_quant_trade
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819
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习
Medium_articles
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436
Scripts/Notebooks used for my articles published on Medium
Trading With Python
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297
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
Roboquant
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280
Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform
Algotrading Example
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254
algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
Notebooks
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247
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Quantitative Notebooks
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233
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Python Algorithmic Trading Cookbook
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232
Python Algorithmic Trading Cookbook, published by Packt
Machine Learning For Algorithmic Trading Second Edition
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141
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Algorithmic Trading
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141
Stock_market_live_trading_using_ai
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127
The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.
Alphatrading
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91
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Bitmex Simple Trading Robot
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86
Simple BitMEX trading robot.
Trade Executor
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69
A Python framework for managing positions and trades in DeFi
Blockchain Science Py
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53
👾 𝗺𝘆 𝗼𝗻-𝗰𝗵𝗮𝗶𝗻 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗻𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝘀, 𝗾𝘂𝗮𝗻𝘁 𝗯𝗼𝘁𝘀 - 𝗽𝘆𝘁𝗵𝗼𝗻 𝗲𝗱𝗶𝘁𝗶𝗼𝗻
Renko_trend_following_strategy_catalyst
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37
Example of adaptive trend following strategy based on Renko
Quant Reseach
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35
Augmento sentiment data quickstart and research
Eve Market Strategies
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30
A book about data analysis and trading strategies for EVE Online in-game markets. Online version: https://orbitalenterprises.github.io/eve-market-st
Trading Strategies In Emerging Markets Coursera
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28
Design your own Trading Strategy
Nse Stock Scanner
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24
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
Pairs_trading_cryptocurrencies_strategy_catalyst
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21
Pairs trading strategy example based on Catalyst
Quant Finance
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16
Some notebooks with powerful trading strategies.
Hftframework
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15
Market making algorithmic trading framework used to test reinforcement learning on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Treasuryfuturetrading
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14
A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change
Trading Strategy Simulation
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14
Comparing dollar-cost averaging frequencies 🤓
Deep_trading
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14
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
Mad Money Backtesting
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12
Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
Deep_reinforcement_learning_trading
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12
Deep Reinforcement Learning for Trading
Crypto Analyzer
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12
Cryptocurrency Order Book Analysis
Finding Alpha With Ai
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12
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
A Backtest A Day
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11
Join me everyday as I backtest a different quant strategy for the markets!
Pytrading
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11
Based on the concepts in "CIMTR" and others, swing trading
Marketsmith_pattern_recognition
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10
Source code of the article Trading Cup and Handles With MarketSmith Pattern Recognition
Pystrat
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10
Playing around with simple trading strategies and off-the-shelf machine-learning models from tensorflow.
Candlestick Trading Analysis Strategy
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8
Candlestick Trading, Analysis & Strategy
Stock_market
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8
Rnn Stocks Prediction
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8
EUR/USD Binary Options Predictions: Using Deep Learning and Random Forest.
Algotrading
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7
Pythalesians
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6
Inverse_reinforcement_learning_for_stocks
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6
Implement the model of Halperin and Feldshteyn for DJIA and SP500
Ethdubai 2023 Hackathon
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6
Trading is the killer application of Web3. Citade-Sashimi enables the development of professional quant finance trading strategies for Sushi using Python scripting and Enzyme vaults.
Money Making Algo
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6
Exploratory data analysis on crypto currency price predictors and trends to eventually construct trading strategies on parity/gekko engine
Rl Stock Trading
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5
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application
Quant_analysis_stocks
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5
Conducting time series analysis on companies from the S&P 500 and applying quantitative analysis in order to create trading strategies
Reinforce Trader
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5
Reinforce Trader is a trading journal app to provide a solution for traders to track analyse and improve their trading strategies.
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