Close
QuantBot – FZCO is a global software development and training company with more than 15 years of experience. We develop automated financial market trading algorithms using mathematical and statistical methods. We have extensive experience in training, programming, algorithmic trading, data mining, and fundamental market analysis. We provide the necessary tools, technology, and education to empower retail traders. We help traders in achieving profitability via the use of a quantitative trading methodology. We know how hard retail traders fight to survive, we’ve been there, so giving back to the community and empowering retail traders to keep fighting, is something we love to do.
Empower our clients to protect and grow their wealth.
Make it possible for every member to be profitable.
We build trust by being transparent, honest, and ethical. We can make money without doing evil.
Transparency and credibility are critical to our success.
Our comprehensive methodology process roadmap ensures that your strategy is robust and undergoes proper testing and optimization. We also provide fully Customizable automatic workflows so you can optimize your performance and stay on top of your objectives.
Formulation of concept (Trend, reversal, fuzzy, etc), specifying instrument type, timeframe, stop-loss and take profit, etc.
In sample – out of sample, Monte Carlo tests (slippage, spread, resampling, exact, historical, parameters, etc.)
Walk-forward optimization, walk-forward matrix, check overfitting, final out of sample test.
Trading strategies with small lot size, monitoring and comparing results to robustness testing phase.
Trading strategies, monitoring 24/7 drawdown percentage.
Periodic optimization, replacing non-performing strategies, enhancing portfolios.
Formulation of concept (Trend, reversal, fuzzy, etc), specifying instrument type, timeframe, stop-loss and take profit, etc.
In sample – out of sample, Monte Carlo tests (slippage, spread, resampling, exact, historical, parameters, etc.)
Walk-forward optimization, walk-forward matrix, check overfitting, final out of sample test.
Trading strategies with small lot size, monitoring and comparing results to robustness testing phase.
Trading strategies, monitoring 24/7 drawdown percentage.
Periodic optimization, replacing non-performing strategies, enhancing portfolios.
Founder & CEO
Hani is a serial entrepreneur with over 15 years of experience in education, programming, lean startup, entrepreneurship, SME learning development, business consulting, telecommunications, coaching, and algorithmic trading. He has built and leveraged strategic planning for business processes, employee enablement, and channel competency.
Algorithmic Trader
Nidal is a data analyst and python programmer with experience in the field of data science and machine learning. Currently developing trading strategies for financial markets, based on historical data, backtesting, analyzing its performance, and improving it through different machine learning modules. Nidal is passionate about expanding his skills, learning, and improving to reach his full potential and positively impact his environment.
