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Getting started with StrategyQuant – Practical example

Getting started with StrategyQuant – Practical example

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Let’s say we want to develop new trading strategy for EURUSD. Inputs With StrategyQuant we don’t need to define exact trading rules – we can let the program find the best entries and exits.We’ll only define which blocks the strategy should consist of (indicators, price data, operators, etc.) in Step 2. We’ll define the performance […]

Robustness Tests and analysis

Robustness Tests and analysis

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Curve-fitting strategy to the historical data on which it was build is the biggest danger of strategies generated using any machine learning process.After developing new strategy you should make sure your strategy is robust – which should increase the probability that it will work also in the future. What is robustness?It is simply the property […]

How StrategyQuant works

How StrategyQuant works

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Manual creation of a trading strategy – the old way Manual development of a new trading strategy is a slow process.It starts with trader using his experience and knowledge to pick up the elements of the trading strategy like technical indicators, price patterns, entry and exit order types and general strategy design. When the prototype […]

Better results with equity control?

Better results with equity control?

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Equity control functionality in Quant Analyzer allows you to simulate and test various methods of using equity curve to control trading logic. What does it mean exactly?The strategy can look at its own performance in the past (its equity curve so far) and use it to determine how it should trade in the future. The premise […]

Portfolio Master – Automatic Portfolio Builder

Portfolio Master – Automatic Portfolio Builder

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Portfolio Master is a new Quant Analyzer feature that allows you build optimal portfolio. Let’s say you have 20 different strategies, but your account size allows you to trade only 5 of them. So you have to choose which 5 of these 20 strategies to trade – in other words how to build an optimal […]

Analyzing and improving your strategies using What-If scenarios

Analyzing and improving your strategies using What-If scenarios

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What-If scenarios is a feature in Quant Analyzer tool that allows you to test various hypothesis of trading your strategy. For example, what if: You trade only from Monday through Wednesday? You took maximum 1 trade per day? You trade only from 9:00 to 15:00 each day? Why to use What-If scenarios? You can find how […]

What is Monte Carlo analysis and why you should use it?

What is Monte Carlo analysis and why you should use it?

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Monte Carlo analysis (or simulation) is a technique that can help you estimate the risk and profitability of your trading strategy more realistically. Why to use Monte Carlo analysis?Historical results of a trading strategy give us some prediction of the future performance. By using Monte Carlo analysis you’ll be able to make this predicion much […]