Harness AI for Automated Trading: Comprehensive Guide to Intuitive Code's Automated Market Strategies

Discover how to automate your trading with Intuitive Code AI. Learn to use AI trading signals, analytics, and adaptive conditional logic

expert insights
3
 min read

In this expert insight, I will explain how you can automate your trading using Intuitive Code AI's solutions, providing examples of different use cases, including complex, highly volatile stocks.

The most effective and efficient way to automate your trading is by using AI, specifically AI robotic process automation (RPA). In 2024, Intuitive Code established an exciting and groundbreaking partnership with a top-tier provider of AI RPA solutions. This partnership will revolutionize the way Fortune 500 companies and small businesses harness the power of cutting-edge technology.

In this insight, I assume you do not have access to an AI RPA platform. However, I am excited to demonstrate that you can accomplish what you might think is impossible on your own.

From automating open orders and closing positions to increasing the size of existing positions using AI trading signals, Intuitive Code's tools offer powerful capabilities. By leveraging AI analytics, adaptive conditional logic, and intelligent momentum indicators, you can enhance your trading strategies and achieve significant returns. Through real-time examples and detailed explanations, you'll discover how to utilize these advanced tools to navigate the stock market effectively.

Manual Automation through AI Trading Signals, AI Analytics, and Adaptive Conditional Logic Trading

You can automate your own trading by using Intuitive Code's AI trading signals and their stock analytics. Since there is a vast array of options, I am going to illustrate with a few examples.

To Open Orders

For example, utilizing AI trading signals with the code "OO" (open order) enables you to place an open order that will be executed at a predetermined price. In the Academy, you will find numerous examples discussed in real-time, such as the renowned case of Trump Media (DJT) and its automated selling-short, explored in this real-time expert insight: Wall Street Watch: The Short-Seller Who Crushed Trump Media Returns with a Bold New Short-Sell Strategy.

To Close Positions

By using RP and SP as parameters, you can optimize the execution of position closures to make them more efficient. For instance, if a stock dives to the vicinity of support, then you might which to take profits or reduce the size of your short position. Similarly, if a stock surges close to its resistance point (RP), you may want to consider taking profits or decreasing the size of your investment.

To Increase Size of Existing Positions or Let Profit Run

You can utilize AI trading signals such as MSP and MBP to effectively increase the size of your existing position or alternatively, resist the temptation to prematurely close a position and instead aim to let profits run. Even during the Intuitive Code trial, you will have access to numerous examples.

To Increase Size of Existing Positions Aiming to Maximize Potential Outcomes

By providing key information such as the current price (CP), price target (PT), and best case scenario (BCS), the platform calculates the percentage to the price target and the percentage to the best case scenario. Based on current market conditions, it may be beneficial to consider adding to an existing position while employing a smart stop loss or profit-adjusted stop loss (PADSL) strategy. All these variables are known whose values can be visualized on the platform. For example, I utilized Quantum Markets Insights AI, a platform that offers sophisticated analytics instead of AI trading signals. This tool enabled me to strategically bolster my long position in Broadcom over the course of several months. Interestingly, you can apply similar workflows to short positions by utilizing AI trading signals such as the code BEAR, along with analytics like RP and WCS.

Increase Size of Existing Positions using Intelligent Momentum Indicators and Smart Trailing Stops.

You should not rely on price targets to succeed in investing in the markets. It is unfortunate that Wall Street analysts often tend to upgrade stocks only after they have already experienced a significant rally of over 500%, or downgrade them after a severe and abrupt decline in price. Instead, you can utilize intelligent momentum indicators (IM) and a smart trailing stop. If a smart trailing stop is never triggered, there is a potential for discovering stocks that generate a 42,000% return on investment, as demonstrated in this expert analysis of investing in NVIDIA, "Riding the Green Wave: How We Turned Nvidia's Stock Surge into a Goldmine Without Ever Setting a Price Target!"

Manual Automation through Adaptive Conditional Logic (ACL) Trading Signals

In the Free Forever plan, you find examples of using Adaptive Conditional Logic. Discover the innovative use of Adaptive Conditional Logic in Intuitive Code's Free Forever plan, featuring examples such as "How Intuitive Code's Conditional Logic Algorithms Predicted Nutanix's Share Price Crash, Revolutionizing Investment Strategies."

AI trading signals using adaptive conditional logic are one of the most powerful features available at Intuitive Code. I discuss in detail them, in real-time trading sessions, available at the Academy. Given its sensitive and valuable nature, we do not disclose it publicly; however, anyone with access can quickly recognize its exceptional power and accuracy. Furthermore, ACL Trading Signals eliminate the detrimental impact of emotional trading and trading based on perceptions of reality.

Automation on Live Trading

Regardless of your level of knowledge or where you are located, you will have access to a wide variety of real-time lessons at the Intuitive Code Masterclass Academy that demonstrate the successful use of automation to generate substantial profits in the stock market.

Resuming, Intuitive Code empowers us with an arsenal of AI tools enabling AI-driven intelligent decisions. It is upon to each one of us to use them and to adapt AI-driven data to our personal case.

Trailblazers in the realm of AI, reshaping the landscape of investing with innovative strategies.