Technical Analysis Library using Pandas and Numpy
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Updated
Jan 23, 2021 - Jupyter Notebook
Technical Analysis Library using Pandas and Numpy
A detailed report discussing various topics in stock markets, technical analysis, and options trading.
This template contains an improved trend-following strategy for futures contracts.
Technical analysis(4hour-1Day) on all coins and shares these analyses with you instantly. Additionally, it provides you with real-time alerts on coins experiencing pump and dump movements. (Only Binance)
Stock Indicators for Go. Maintained by @hmuhdkamran
A sophisticated Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
Send database table (rows filtered by criteria) to Kafka
In This Repository Which is Data Structures and Algorithms, i will provide you to practicals code
Technical Analysis Library using Pandas and Numpy
The official bug tracker for the Chartsy|One software.
I debugged a todo list app while also adding more tests and technical documentation.
A feature detector for trading BTC
This project implements a time series prediction model for the EUR/USD currency pair, which is one of the most actively traded currency pairs in the forex market.
Investing into the Coca-Cola Company stock
Interface for data derived from time-series record data
Experimenting with cyclejs and d3
Technical analysis demo app powered by Javascript, Google Charts. Available on gh-pages.
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