Algorithmic Trading with Multicharts/(.NET) Essentials

From zero to live trading in Multicharts/.NET, Environment setup, Trading Automation, Power Language, .NET based signals

What you’ll learn
Learn to set up the Multicharts platform, master its key indicators, strategies, and features. Understand the characteristics of popular trading instruments.
Develop custom trading strategies with entry/exit rules and risk management, or utilize pre-built ones. Apply these strategies across one or more instruments.
Test and refine strategy parameters through backtesting. Eval with walk-forward optimization, and use Monte Carlo analysis to verify performance reliability.
Test strategies in sim with real-time data before live deployment. Set multiple broker connections and efficiently manage a portfolio of automated strategies.

Requirements
Basic to medium experience with Windows Operating Systems
Awareness of EL (Easy Language) / C# languages, scripting and automation concepts
Some data science knowledge for the more involved topics

Description
Learn the basics of trading strategy automation with Multicharts and Multicharts NET. First, license the platform(s), then various customizable settings during first start, and a few ideas on why would you choose one platform or another (Multicharts, vs Multicharts NET). We present Quote Manager, where you keep track of your instruments, and exchange definitions and templates, session definitions, and data sources. This is also the place one can automate onboarding lists of large numbers of instruments, especially useful when working intensively with Portfolio Trader and large numbers of tickers (such as running strategies on the full SP500 list of stocks). Learn the basics of strategy development in both Power Language and c#/NET. To this point, we develop together a simple strategy/signal object drawing inspiration from built-in signals, first in Power Language, then we translate the same logic into Multicharts NET, which has its own OOP development framework. Learn how to run and automate strategies/signals – the various settings important for switching a chart to auto-trading, setup broker profiles (real or paper), data sources and symbol properties. Instrument mapping is of great importance in the instance where you might use a data source different from the order execution broker.Learn the basics of parameter optimization and walk-forward optimization, both with brute-force and genetic search. We analyze optimization results, and apply “best-case” parameter settings. We touch base on Portfolio Trader, which is Multicharts’ way of applying a signal (or more) and doing trading-automation across a basket of instruments.

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