RobinFund
Getting the money from the markets and giving it back to you; the people
Current Fund Allocation: 10.000€How it works
Create an account at Darwinex.
Follow one of the robinfund strategies.
And begin getting back from the markets the money that belongs to you.
Automatic Trading Strategies
Using quant analysis tools to avoid strategy over-fitting:
Montecarlo, WFO, global minimum optimization, self adapting parameters, backtest > 5 years.

Artificial Intelligence
Based on the latest state of art machine learning algorithms. Model formed by a stacked LSTM deep learning network. Currently applied to eurusd.
Follow
Convolutional LSTM Network
Convolutional neural network stacked with a LSTM network. Latest state of art machine learning model applied for time series. Model applied to a portfolio of 5 assets.
Follow
Deep Learning
Deep Neural Network iniciated with a Stacked Autoencoder. Model applied to a portfolio of 10 assets.
Follow
Data Mining
Data mining strategy. Portfolio formed by the combination of 10 systems and 25 currencies.
Follow
Cointegration
Pairs trading strategy. Exploits currencies correlations in a portfolio of 25 assets
Follow
Convolutional Neural Network
Convolutional neural network applied for time series pattern recognition. Model applied to a portfolio of 5 assets.
Under Maintenance
Machine Learning
Strategy based on the famous Xgboost algorithm. Formed by the ensemble of 5 xgboost models and applied to a portfolio of 10 assets.
Under Maintenance
Metal Currency Correlation
Exploit currency movements based on metal demand predictions
Under Maintenance

Pattern Detection
Strategy that the detects the formation of multiple price patterns. Over 10 price patterns and 20 assets included.
Under Maintenance
Naive Bayes
Naive bayesian machine learning model applied to a portfolio of 5 assets. Currently under development.
research ongoing
Q-Learning
Promising reinforcement learning machine learning based on the ensemble of k-means and xgboost models. Currently under development.
research ongoing

Support Vector Machine
Support Vector Machines algorithm applied to a portfolio of 10 assets.
Not running