I am a highly driven engineer with 10+ years of professional C++ software development with a wicked passion for Computer Graphics
๐ Iโm currently learning Vulkan
Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.
License: MIT License
For the machine_learning_rnn.py, it read train.csv from /Desktop/ML directory. It can not be found. Could you pls describe the feature1:feature details?
My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.
I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.
The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.
With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).
I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.
Undefined symbols for architecture x86_64:
"boost::iostreams::file_descriptor::seek(long, std::_Ios_Seekdir)", referenced from:
std::fpos<__mbstate_t> boost::iostreams::detail::seek_device_implboost::iostreams::any_tag::seekboost::iostreams::file_descriptor_sink(boost::iostreams::file_descriptor_sink&, long, std::_Ios_Seekdir, std::_Ios_Openmode) in ccTQHfwJ.o
ld: symbol(s) not found for architecture x86_64
And here is a hint:
https://svn.boost.org/trac10/ticket/11182
seems like I have to compile boost with g++ but not install it with brew.
I wonder if it is necessary to get boost and openmp involved.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.