trading-utils
Apache Arrow
trading-utils | Apache Arrow | |
---|---|---|
8 | 75 | |
109 | 13,562 | |
- | 1.4% | |
9.1 | 10.0 | |
8 days ago | 1 day ago | |
Python | C++ | |
MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
trading-utils
- Projects you've done
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Crypto Price Finder: My Telegram Bot to check crypto prices on CoinMarketCap. Looking for feedback & testers.
In particular, this script works with Stock market but it can be adapted to use a different data source https://github.com/namuan/trading-utils/blob/main/tele_stock_rider_bot.py
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Using Pandas_DataReader to Collect Free, Historical Stock Market Price/Dividend Data
I have few open source scripts here which you may find interesting https://github.com/namuan/trading-utils
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How to deploy and update python code on then single rasberrypi device at the same time
See also https://github.com/namuan/trading-utils/tree/main/scripts where you can find scripts to start applications in their own screen sessions
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Recommendation for a Database for analysis
I do the exact thing with a CSV file. The project is open source here https://github.com/namuan/trading-utils/ if you want to have a look.
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How/where can I see a trading bot (especially for Td Ameritrade) without coding for strategy?
Here is a simple bot written in Python for crypto - https://github.com/namuan/trading-utils/blob/main/crypto_ma_trade_bot.py
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What routine tasks do you automate with python programs?
Telegram bot to send me daily analysis of S&P500 index. Lots of other goodies in this repo https://github.com/namuan/trading-utils
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How can I use parse_mode in curl in Python to send message with format
I have an example here using requests module but you can easily translate it to curl - https://github.com/namuan/trading-utils/blob/main/common/tele_notifier.py
Apache Arrow
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How moving from Pandas to Polars made me write better code without writing better code
In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++.
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From slow to SIMD: A Go optimization story
I learned yesterday about GoLang's assembler https://go.dev/doc/asm - after browsing how arrow is implemented for different languages (my experience is mainly C/C++) - https://github.com/apache/arrow/tree/main/go/arrow/math - there are bunch of .S ("asm" files) and I'm still not able to comprehend how these work exactly (I guess it'll take more reading) - it seems very peculiar.
The last time I've used inlined assembly was back in Turbo/Borland Pascal, then bit in Visual Studio (32-bit), until they got disabled. Then did very little gcc with their more strict specification (while the former you had to know how the ABI worked, the latter too - but it was specced out).
Anyway - I wasn't expecting to find this in "Go" :) But I guess you can always start with .go code then produce assembly (-S) then optimize it, or find/hire someone to do it.
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Time Series Analysis with Polars
One is related to the heritage of being built around the NumPy library, which is great for processing numerical data, but becomes an issue as soon as the data is anything else. Pandas 2.0 has started to bring in Arrow, but it's not yet the standard (you have to opt-in and according to the developers it's going to stay that way for the foreseeable future). Also, pandas's Arrow-based features are not yet entirely on par with its NumPy-based features. Polars was built around Arrow from the get go. This makes it very powerful when it comes to exchanging data with other languages and reducing the number of in-memory copying operations, thus leading to better performance.
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TXR Lisp
IMO a good first step would be to use the txr FFI to write a library for Apache arrow: https://arrow.apache.org/
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3D desktop Game Engine scriptable in Python
https://www.reddit.com/r/O3DE/comments/rdvxhx/why_python/ :
> Python is used for scripting the editor only, not in-game behaviors.
> For implementing entity behaviors the only out of box ways are C++, ScriptCanvas (visual scripting) or Lua. Python is currently not available for implementing game logic.
C++, Lua, and Python all implement CFFI (C Foreign Function Interface) for remote function and method calls.
"Using CFFI for embedding" https://cffi.readthedocs.io/en/latest/embedding.html :
> You can use CFFI to generate C code which exports the API of your choice to any C application that wants to link with this C code. This API, which you define yourself, ends up as the API of a .so/.dll/.dylib library—or you can statically link it within a larger application.
Apache Arrow already supports C, C++, Python, Rust, Go and has C GLib support Lua:
https://github.com/apache/arrow/tree/main/c_glib/example/lua :
> Arrow Lua example: All example codes use LGI to use Arrow GLib based bindings
pyarrow.from_numpy_dtype:
- Show HN: Udsv.js – A faster CSV parser in 5KB (min)
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Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.
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Cap'n Proto 1.0
Worker should really adopt Apache Arrow, which has a much bigger ecosystem.
https://github.com/apache/arrow
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C++ Jobs - Q3 2023
Apache Arrow
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Wheel fails for pyarrow installation
I am aware of the fact that there are other posts about this issue but none of the ideas to solve it worked for me or sometimes none were found. The issue was discussed in the wheel git hub last December and seems to be solved but then it seems like I'm installing the wrong version? I simply used pip3 install pyarrow, is that wrong?
What are some alternatives?
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
hummingbot - Open source software that helps you create and deploy high-frequency crypto trading bots
h5py - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
hummingbot - Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
rStardewValleybot - A bot that takes posts from r/StardewValley on Reddit and posts them on Twitter.
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
arctic - High performance datastore for time series and tick data
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
python-rofi - A Python module to make simple GUIs with Rofi
ClickHouse - ClickHouse® is a free analytics DBMS for big data