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Creating a Bitcoin trading robot that won't lose money
From quantitative trading to asset management to developing CTA strategies for the ultimate payoff
Nine trading rules that helped a trader go from $1,000 to $46,000 in less than a year
Inventors introduce quantitative trading - from the basics to the real world.
5.5 Trading strategy optimization
5.4 Why do we need an off-sample test
5.3 How to read the strategy backtest performance report
5.2 How to do quantitative trading backtesting
5.1 The meaning and trap of backtesting
4.6 How to implement strategies in C++ language
4.5 C++ Language Quick Start
4.4 How to implement strategies in Python language
4.3 Getting started with the Python language
4.2 How to implement strategic trading in JavaScript language
4.1 JavaScript language quick start
3.5 Visual Programming language implementation of trading strategies
3.4 Visual programming quick start
3.3 How to implement strategies in M language
3.2 Getting started with the M language
3.1 Quantitative trading programming language evaluation
2.4 How to write a trading strategy on FMZ Quant platform
2.3 Common API explanations
2.2 How to configure the FMZ Quant trading system
2.1 Introduction to the quantitative trading tool
1.4 What are the elements of a complete strategy?
1.3 What are needed for quantitative trading?
1.2 Why choose quantitative trading
1.1 What is quantitative trading?
FMZ Quant Quantitative Trading Quick Start
The exchange's vulnerabilities are being analyzed
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