
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
Coin Push
ChartScout.io
altFINS
3commas
TradingView
TrendSpider
Tickeron
Alpha Chart
Coin Push server collects live data from most popular exchanges using APIs. Runs complex mathematical functions on the fly to detect possible squeezes and trend-breaks. Now with live charts including 1 second candles!
It aims to replace day traders chart tracking/analyzing efforts as much as possible.
When certain conditions are met on the crypto charts, signals get created and are sent to your mobile phone as instant notifications. You can catch intraday trend breaks and big price movements by following the notifications of the app.
No fortune-telling. Total mathematics!
Coin PushBased on our record, NumPy seems to be a lot more popular than Coin Push. While we know about 122 links to NumPy, we've tracked only 1 mention of Coin Push. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / 12 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
The story started when I wanted to build an app for myself that tracks crypto price trends. I crafted a formula that calculates the overlap of candle sticks on price charts, and that became the magic formula for Coin Push. Source: almost 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ChartScout.io - Scan 1,000+ crypto pairs for patterns like rising wedges & triangles in real time. Get Discord/email alerts no API keys needed. Free tier available.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
altFINS - Scan, Analyze, and Trade altcoins
OpenCV - OpenCV is the world's biggest computer vision library
3commas - 3commas.io provides tools for cryptocurrency traders and investors.