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AI Tools for Retail Trading: How ChatGPT, Perplexity, and Claude Are Giving Retail Traders an Edge
- 2 days ago
- 8 min read
Introduction
Retail trading has come a long way.
There was a time when having access to institutional grade tools like a Bloomberg Terminal felt like the ultimate advantage. While that still carries weight, there is something most traders overlook.
More information does not equal better results.
In many cases, it leads to confusion, hesitation, and inconsistent execution.
That is where things are starting to shift.
With AI tools for retail trading like ChatGPT, Perplexity, and Claude, traders now have the ability to filter data, automate analysis, and build structured workflows that were once out of reach.
But here is the truth.
Access to tools is not the edge. Knowing how to use them with purpose is.
And that is what separates traders who casually use AI tools for retail trading from those who build real systems and agents around them.
From Bloomberg Terminal to Smart Automation
Having access to a Bloomberg Terminal gives you everything. Data, news, macro insights, and institutional flow are all there.
But it comes with a cost.
It is dense, time consuming, and easy to get lost in.
You can spend hours consuming information without improving your decision making.
That realization led me to shift my approach.
Instead of manually digging through endless data, I moved toward a more automated and structured workflow using AI tools, a custom macro dashboard, and defined processes.
Now things look very different.
Data is filtered automatically. Insights are summarized quickly. Watchlists are refined with intent.
It is no longer about having more information.
It is about having the right information at the right time to make informed decisions.
The Rise of AI in Retail Trading
AI is everywhere in trading right now, but most traders are barely scratching the surface.
It is not about asking for signals or copying outputs.
It is about building a system and the right agents around the tools.
That means assigning clear roles, creating structured workflows, and using each model with intent rather than guesswork. In many ways, you are not just using AI, you are orchestrating it.
Here is how I use each tool in my process.
ChatGPT: Breaking Down Performance and Finding Weak Points
ChatGPT plays a key role in my review process.
I use it to analyze my portfolio, break down previous trades, identify patterns in performance, and highlight weaknesses in execution.
It brings consistency and removes bias from my review process.
While it is a strong all around tool, I have found its real strength is in reflection and continuous improvement rather than real time decision making.
Perplexity: My Macro Dashboard and Market Awareness Engine
Perplexity is where I have built a large part of my edge.
Using it, I created a macro dashboard that updates daily and highlights what actually matters.
It tracks money market changes, leading economic surveys, commodity cycles, and the rate of change across key data.
This has had a direct impact on my trading.
Risk management has improved. Market cycles are clearer. Situational awareness is stronger. Market bias is more structured.
Instead of reacting, I operate with context.
Claude: Building and Managing My Options Portfolio with Precision
Claude has become a key part of how I manage structure and execution, especially within my options trading.
I have used it to build my own options portfolio app called OptionsMon.
This app is something I use every single day. It has played a big role in improving my risk management and giving me a clearer understanding of my overall exposure.
Within OptionsMon, I have integrated specific tools that allow me to:
Forecast how my portfolio reacts to bullish or bearish scenarios
Understand volatility across my positions
Measure risk through delta and overall exposure
Assess how swing factors impact my portfolio
Instead of guessing or reacting emotionally, I can break things down in a structured way and make decisions based on data and positioning.
It brings a level of clarity that is difficult to achieve manually.
But it does not stop there.
Claude also acts as an agent within my browser, constantly supporting my research process.
It helps me:
Track catalysts affecting stocks in my watchlist
Surface relevant news and updates
Stay informed without manually searching
This allows me to stay updated and react accordingly as new information enters the market.
Having that layer of support has been a serious edge.
Why This Approach Works
The difference is simple.
I am not relying on one tool to do everything.
ChatGPT is used for performance analysis.
Perplexity is used for macro filtering and awareness.
Claude is used for portfolio structure, research and catalyst news events.
Each tool has a clear role within a larger system.
And that system is built on something far more important than AI.
As you can see, each model I have implemented serves a different use case. It took time, testing, and trial and error to figure out what works best.
Some tools are better for reflection. Others are stronger for real time insights. Some are better for structuring complex decisions.
Over time, the process becomes more refined.
As these models continue to evolve, workflows will likely become even more streamlined.
But that is not the main point.
The key takeaway is this.
Retail traders now have access to opportunities that have never been this strong.
However, access alone is not enough.
There are still many traders using these tools who do not understand market structure, lack consistency, and struggle with risk.
More information does not fix that.
In many cases, it makes it worse.
The availability of information does not directly lead to better returns.
What matters is getting the right information at the right time and using it within a structured system to make informed decisions.
Why AI Tools for Retail Trading Only Work with the Right Education
Before any of this worked, there had to be a foundation.
For me, that came through ITPM trading education.
It taught me a systematic approach to the markets. Not just setups or strategies, but how to understand what is happening, why it is happening, and how to position around it.
That shift is what allowed me to become consistently profitable.
From there, I did not replace my process with AI. I integrated AI into my system to create efficiencies, improve analysis, and strengthen my edge.
AI did not make me a better trader on its own. It made my process faster, sharper, and more consistent.
And this is the part that most people overlook.
Without a proper understanding of the market, its dynamics, and how to trade, these tools will create more problems than they solve.
You can have the best tools in the world, but if your inputs are wrong and your framework is missing, the output will reflect that.
Bad input leads to bad output.
Or more simply.
Shit in, shit out.
That is why education comes first.
The Result: A 20% Return Through Structure and Execution
What makes this result more meaningful is the environment it was achieved in.
This has not been a clean or easy market.
We have seen uncertainty driven by political volatility, from Trump tweets moving sentiment to rising geopolitical tensions around a potential Iran conflict. These are the kind of conditions that typically stifle growth, create chop, and expose weak traders.
And yet, through all of that, I have been able to achieve a 20 percent return since the start of the year.
This was not about taking more trades or increasing risk.
It came from combining:
ITPM education
AI tools used with purpose
Structured workflows and execution
More importantly, it came from focusing on what actually matters.
Improving decision making. Strengthening risk management. Executing with consistency.
That is the real edge.
Less noise leads to clarity. Clarity leads to better decisions. Better decisions lead to results.
In difficult market conditions, that structure becomes even more important. It is what allows you to stay grounded while others get caught up in uncertainty
This Is a New Phase of Trading
Trading is entering a new phase.
Retail traders now have access to tools and insights that were once limited to institutions.
But success in this environment is not guaranteed.
The traders who succeed will be the ones who focus on education, build structured systems, and use tools with intent.
Not the ones chasing more information.
What Is PTM 2.0?
If you have read this far, you already understand something most traders miss.
It is not about having more tools.It is not about more information.
It is about having a structured system and the ability to execute it consistently.
That is exactly what PTM 2.0 is built around.
This is the same foundation that helped me go from uncertainty to building a systematic approach, integrating AI into my workflow, and ultimately achieving a 20 percent return for the year.
It teaches you how to:
Understand market structure and macro context properly
Build a repeatable framework you can actually follow
Apply that framework in real market conditions
Improve execution and risk management
Use tools like ChatGPT, Perplexity, and Claude with clear purpose, not guesswork
Because without that foundation, all the dashboards, prompts, and AI tools in the world will not help.
You have seen it throughout this article.
The tools only became effective once there was a system behind them.
That is the gap PTM 2.0 helps close.
If you want a deeper breakdown, I have put together a full review of PTM 2.0, including how I use it alongside my AI workflow and how it fits into everything I have outlined above.
You can check it out here and get access to to my PTM 2.0 discount code:
👉 ptmcutts30pct or directly via the ITPM discounted courses page.
Frequently Asked Questions
Can AI tools improve trading performance?
Yes, but only when combined with a structured framework and real market understanding.
Why does more information not lead to better results?
Because without structure and context, more information creates confusion instead of clarity.
Do I need education before using AI tools?
It is strongly recommended. Without it, most traders struggle to use these tools effectively.
What is the biggest advantage of AI in trading?
Efficiency. It allows you to process and act on relevant information faster and with more clarity.
Disclaimer:
The information contained in this article is provided for general informational and educational purposes only and does not constitute financial, investment, or other professional advice. The content reflects the personal opinions of the author based on publicly available information at the time of writing and should not be relied upon as the basis for any investment decisions. Earnings reviews may contain forward-looking statements that are inherently uncertain and subject to change.
Readers are strongly encouraged to conduct their own research and due diligence, and to consult with a qualified financial advisor or licensed professional before making any investment or trading decisions. The author and publisher make no representations or warranties, express or implied, as to the accuracy, completeness, or reliability of the information provided and accept no liability for any loss or damage arising directly or indirectly from the use of or reliance on the information herein.
