Trading Talk

Scalping Trading Strategies: Automate for Success

Welcome to Episode 71 of Trading Talk.

Scalping is a popular trading strategy that involves buying and selling securities quickly, often within minutes or even seconds. It’s a fast-paced approach that requires precision, speed, and a deep understanding of market dynamics. While scalping can be done manually, many traders turn to automation to improve their chances of success. In this post, we’ll discuss common algo scalping trading strategies and the benefits of automation.

Automate and Trade Faster than ever before!

What is scalping, and why is it popular among traders?

We’ll answer these questions and more in this post. We’ll also cover the basic principles of scalping and why automation can help traders execute scalping strategies more effectively.

Algo scalping trading strategies are computer programs that use algorithms to analyze market data, identify trading opportunities, and execute trades automatically. These strategies can range from simple to complex, depending on the trader’s needs and preferences. We’ll discuss some of the most common algo scalping trading strategies and their advantages.

One of the main benefits of automation in scalping trading strategies is speed. Computers can analyze data and execute trades much faster than humans, which is essential for scalping. Automation can also help traders avoid emotional decision-making, which can be detrimental to scalping strategies. We’ll discuss these benefits and more in this video.

If you would like to learn more about creating automated trading strategies check out the Trading Talk series which has a new episode each week with different topics and concepts on popular automated trading strategies.

Why wait? Get started today.  Sign up for an account today with our partner broker www.tradeview.tech and start creating your own automation.

Already a pro trader? Apply for our Prop Trading and join our trading desk today !

Latest Episodes

MA filter

In this episode, we will check in on the previous versions of the model that we have been working on since episode 365, which are looking good right now.

Read More »

Trading Session Times

In this episode we analyse the trading model and find that when the strategy takes trades later in the day they are less successful, compared to when taking them earlier in the trading day.

With this information we create a Trading Session function that helps limit the time of the day that the strategy can trade, in doing this the model takes less trades and increases the win rate %.

Read More »

Modifying X Manager Algos

In this episode, we check in on the results of the My First Algo mini-series from the past 30 days and explore key upgrades for running algos in X Manager.

We’ll cover modifying and saving running algos, adding hedging when exposure exceeds net 5, implementing a pyramiding function, and testing across 28 Forex symbols to optimize for low drawdown. Plus, we’ll set up a brand-new algo on a fresh demo account.

Read More »