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Top 23 Python stock-market Projects
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financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Project mention: financial-machine-learning: NEW Other Models - star count:4654.0 | /r/algoprojects | 2023-10-02 -
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.
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Sonar
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Clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement
Project mention: Short-Term Movement Cues: Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib Other Models - star count:2370.0 | /r/algoprojects | 2023-08-15 -
Project mention: Deep Learning IV: Bulbea: Deep Learning based Python Library. Deep Learning And Reinforcement Learning - star count:1798.0 | /r/algoprojects | 2023-04-01
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stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
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Empyrial
AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
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Project mention: This strategy seems to work really well with fake money... Why wouldn't it work with real money? | /r/algotrading | 2023-06-21
For that calculator, we acquired the data using the Twelve Data API (i don't have link; my friend got the data), which only allowed 800 requests per day on the free version, meaning we weren't able to get very much out of it (~14000 datapoints). We recently switched over to a new, 120,000 datapoint dataset we generated using a python library called yahooquery, which gives us unlimited requests. DM me for more info, if you want.
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tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
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stock-bot
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.
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tiingo-python
Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
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Stocks-Pattern-Analyzer
This tool should help discover different patterns based on similarity measures in historical (financial) data
Project mention: Stocks-Pattern-Analyzer: NEW Data - star count:170.0 | /r/algoprojects | 2023-01-28 -
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Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
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In the past, I was heavily involved in retail trading, navigating the financial waves manually. The realization that I could automate my trading strategies was a game-changer. Eager to optimize my workflow, I dove headfirst into learning Python in a more detailed way and began crafting my trading tools.
This led me to create FAIG, which you can explore here: https://github.com/tg12/FAIG
To my surprise, it gathered momentum on Reddit. But take it from me, a lot of the chatter on algotrading is mere noise rather than insightful wisdom.
But FAIG is not my only creation. I have a treasure trove of other coding repositories where I occasionally unveil some of my custom trading scripts. You can check out one of these at https://github.com/tg12/hft_sig_trend
Remember, the key is to strategize and then automate. Bring precision and efficiency to your trading.
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Python stock-market related posts
- financial-machine-learning: NEW Other Models - star count:4654.0
- financial-machine-learning: NEW Other Models - star count:3893.0
- financial-machine-learning: NEW Other Models - star count:3893.0
- financial-machine-learning: NEW Other Models - star count:3893.0
- Short-Term Movement Cues: Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib Other Models - star count:2370.0
- financial-machine-learning: NEW Other Models - star count:3639.0
- financial-machine-learning: NEW Other Models - star count:3639.0
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A note from our sponsor - Sonar
www.sonarsource.com | 3 Oct 2023
Index
What are some of the best open-source stock-market projects in Python? This list will help you:
Project | Stars | |
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1 | financial-machine-learning | 4,685 |
2 | pandas-ta | 4,037 |
3 | zvt | 2,677 |
4 | Clairvoyant | 2,376 |
5 | bulbea | 1,849 |
6 | stocksight | 1,811 |
7 | alpaca-trade-api-python | 1,620 |
8 | robin_stocks | 1,522 |
9 | fooltrader | 1,106 |
10 | Empyrial | 782 |
11 | Yahooquery | 657 |
12 | tstock | 536 |
13 | pyEX | 405 |
14 | sec-edgar-downloader | 364 |
15 | deep-RL-trading | 335 |
16 | twelvedata-python | 312 |
17 | tuneta | 292 |
18 | stock-bot | 278 |
19 | tiingo-python | 218 |
20 | Stocks-Pattern-Analyzer | 195 |
21 | TradeAlgo | 151 |
22 | Stock-Prediction-Neural-Network-and-Machine-Learning-Examples | 146 |
23 | FAIG | 139 |