TradingView + AI is a Game Changer – Turn Indicators into Profitable Strategies (FULL Tutorial 2025)

Summary

In this video, the speaker discusses the process of developing and refining a trading strategy using Pine Script. They analyze the performance of the strategy, pointing out areas of improvement such as delayed re-entries and ensuring correct execution of trades. The speaker also compares the strategy's performance against a simple buy-and-hold approach, highlighting its superior returns. Furthermore, they introduce a tool for researching companies based on shipping data, providing insights into growth potential, which is shared with a community for collaboration and informed decision-making in investments.

Takeaways

• 😀 The speaker analyzes the performance of a trading strategy, specifically focusing on green/red indicator changes for entry and exit points.
• 😀 The strategy correctly exits trades when the indicator turns red but experiences delays when re-entering trades after the indicator turns green.
• 😀 A fix is requested for the algorithm to improve re-entry timing, with the new version showing improvement, though still not perfect.
• 😀 The trading strategy has significantly outperformed a simple buy-and-hold strategy, achieving much higher returns (from 10x to 28x).
• 😀 The speaker emphasizes that non-coders can understand the performance of the strategy through visual tools and UI, making the results accessible.
• 😀 A key challenge was ensuring that the algorithm does not make delayed entries or exits, which was addressed through adjustments to the code.
• 😀 The performance of the strategy shows a major difference in returns, with a comparison between buy-and-hold (10x return) and the improved strategy (28x return).
• 😀 The speaker introduces a tool for analyzing export data from shipping containers, which is used to predict company growth based on export activities.
• 😀 This tool uses paid data to identify companies with high growth potential, offering market-beating returns based on export growth trends.
• 😀 The research results are shared with the community through a structured funnel, where companies are analyzed and their potential discussed weekly.
• 😀 The approach focuses on educating the community rather than giving direct buy/sell recommendations, allowing individuals to make informed decisions based on research.

Q & A

What is the main focus of the trading strategy discussed in the transcript?

The main focus of the trading strategy is to correctly enter and exit trades based on market indicators. Specifically, it highlights the importance of entering when the market turns green (indicating buy) and exiting when it turns red (indicating sell). The strategy also emphasizes correcting entry delays and ensuring that the algorithm re-enters at the right time when market conditions change.

Why was the trading algorithm not performing optimally initially?

The algorithm was not performing optimally because while it correctly exited trades when the market turned red, it failed to re-enter at the right time when the market turned green. The re-entry was either delayed or missed, affecting the overall performance of the strategy.

What changes were made to improve the algorithm's performance?

The algorithm was modified to fix the re-entry issue. It now re-enters the market as soon as the market turns green, addressing the previous delay and improving the overall performance of the trading strategy.

How was the algorithm's performance measured in terms of growth?

The performance was measured by comparing the returns of the trading strategy to the returns from a simple buy-and-hold strategy. The trading algorithm showed significantly higher returns, reaching approximately 2.88 crore compared to the buy-and-hold return of 1 crore, demonstrating the effectiveness of the strategy.

What is the significance of the shipping data tool mentioned in the transcript?

The shipping data tool is significant because it provides insights into companies' growth potential based on export data. By analyzing export/import data, the tool helps identify companies with high growth prospects, offering a competitive edge in predicting market trends before they become widely known.

How does the shipping data tool work?

The shipping data tool analyzes data from physical shipping containers, which is collected from import/export ports. This data is refreshed regularly to track which companies are showing significant growth in exports, allowing users to make informed investment decisions based on these insights.

What type of data is used in the shipping tool, and how is it obtained?

The shipping tool uses export/import data, which is typically paid data that is accessed through subscription services. The data provides insights into the volume and growth of exports, which can be indicative of a company's future performance in the market.

What role does the community play in the research process described in the transcript?

The community plays a crucial role by receiving and discussing the research shared by the speaker. Research on companies and sectors is shared with the community, which allows members to ask questions, gain insights, and make informed decisions. The community also participates in weekly discussions to deepen their understanding of market trends.

What is the purpose of the 'research funnel' mentioned in the transcript?

The research funnel is a systematic process through which companies are analyzed. It helps to track potential opportunities, such as big orders, mergers, acquisitions, or delisting events. The research is refined and shared with the community for further discussion and analysis.

How does the speaker ensure that the community benefits from the research?

The speaker ensures that the community benefits by regularly sharing detailed research on companies, sectors, and market trends. The community is encouraged to ask questions and engage in discussions to better understand the information and make informed decisions, with the ultimate goal of enhancing their financial knowledge.