zvt
dwxconnect
Our great sponsors
| zvt | dwxconnect | |
|---|---|---|
| 1 | 2 | |
| 2,989 | 155 | |
| 4.7% | - | |
| 6.0 | 2.6 | |
| 17 days ago | about 1 month ago | |
| Python | MQL5 | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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zvt
dwxconnect
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🤯 Trading on Mobile iOS 16 Beta
I have been busy with trying to make this or something similar to work https://github.com/darwinex/dwxconnect
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alternatives for free forex data API? metatrader api does not work since im using mac
Did a quick google, it looks like it has been further developed to be this https://github.com/darwinex/dwxconnect/ will try to look at it later.
What are some alternatives?
Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
aat - Asynchronous, event-driven algorithmic trading in Python and C++
MachineLearningStocks - Using python and scikit-learn to make stock predictions
awesome-systematic-trading - A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]
FinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]
fwoba - Frequency Weighted OrderBook Analysis
streamlit-stock-performance - Analyze financial instruments' past performances with a just few clicks.
analysis-sharing - Sharing quantitative analyses on Crypto Lake data
TAcharts - Apply popular TA tools and charts to candlestick data with NumPy.
Stock-Market-Sentiment-Analysis - Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka