Why I Built SignalButler: AI-Powered Investment Recommendations for Real People

Hi, I’m Bill.

Like many people, I started using modern investment apps to buy stocks, ETFs, and crypto. The access was easy. The execution was easy. What was not easy was deciding what to invest in.

There are thousands of stocks. Thousands of ETFs. A growing list of cryptocurrencies. Every day there is breaking news, market commentary, hot takes, and bold predictions. The real problem was not access to information. The problem was too much information.

I did not want to trade all day. I was not interested in staring at charts every hour. My goal was simple: short to mid term investments over days, weeks, or months. I wanted well researched ideas that fit that time horizon, without needing to constantly monitor the market.

But there was no tool that really worked the way I needed.

The Problem With Most Investment Tools

Most platforms give you data, not decisions.

You get charts, ratios, analyst ratings, and news feeds. But you still have to:

• Filter the noise
• Compare dozens of options
• Evaluate conflicting opinions
• Decide what actually matters

And in today’s environment, bias is everywhere. Social media pushes hype. News headlines push fear. Influencers push their own positions. It is hard to get balanced perspectives in one place.

I wanted something different. I wanted structured disagreement.

Building AI Agents That Challenge Each Other

So I built a system for myself.

Instead of relying on one algorithm or one strategy, I created multiple AI agents, each with a different investment philosophy and objective.

Each agent analyzes my portfolio and the broader market independently.

• The Momentum Agent looks for strength and trend continuation
• The Value Agent looks for undervalued opportunities
• The Macro Agent analyzes broader economic signals
• The Contrarian Agent challenges consensus ideas

They do not agree by design.

Their goals are intentionally different. In some cases, they actively oppose each other’s conclusions. This creates a balanced information environment where no single bias dominates the output.

Rather than telling me what to think, they present structured reasoning from multiple angles.

The Conductor: Turning Analysis Into Actionable Suggestions

After building the four agents, I realized I needed one more layer.

So I created an overseer agent, what I call the Conductor.

The Conductor evaluates the research and recommendations from the four agents. It weighs their arguments, looks for alignment or strong divergence, and synthesizes everything into a clear, structured suggestions.

Each day, it sends me:

• A summarized suggestion
• Key reasoning from each agent
• Suggested opportunities aligned with my portfolio
• Context around risk and market conditions

Instead of spending hours researching, I receive a focused, balanced report in my inbox.

And importantly, I still make the final decision.

This is not about blind automation. It is about informed choice.

From Personal Tool to SignalButler

At first, this was just for me.

I showed it to a few friends and coworkers at my 9 to 5 job. They immediately wanted access. They were facing the same problem:

They wanted to invest intelligently, but they did not have the time to constantly research markets or monitor price movements all day.

That is how SignalButler was born.

What Is SignalButler?

SignalButler is an AI-powered investment research system designed to deliver personalized investment recommendations directly to your inbox.

Here is how it works:

1. Sign Up and Add Your Holdings

Create your account and add your current portfolio. No complex setup required.

2. Four AI Agents Analyze the Market

Momentum, Value, Macro, and Contrarian agents independently analyze:

• US stocks
• ETFs
• Major cryptocurrencies

They evaluate both your current holdings and new opportunities.

3. Receive Your AI Investment Report

A master agent synthesizes everything into one clear report. You receive structured insights and recommendations via email.

You can try one full AI-powered report for free. If you like it, you can subscribe for daily reports for €9.99 per month, cancel anytime.

What Makes SignalButler Different

Most tools either overwhelm you with data or oversimplify everything into a single score.

SignalButler does something different:

• Multiple independent AI agents
• Built-in disagreement and balance
• Personalized portfolio analysis
• Daily email delivery
• Performance tracking and analytics

You can track your holdings, log trades, monitor P&L, and even evaluate how well the agents perform over time.

The system learns from your portfolio history, becoming more aligned with your preferences and risk profile.

Who Is SignalButler For?

SignalButler is built for people who:

• Want short to mid term investment ideas
• Do not want to monitor markets constantly
• Prefer structured analysis over hype
• Want AI assistance without giving up control
• Value balanced perspectives

It is not financial advice. It is structured research designed to help you make better decisions.

Why This Matters

We are living in an age where information is abundant but clarity is rare.

AI can amplify noise, or it can help filter it.

SignalButler is my attempt to use AI responsibly. Not to replace judgment. Not to promise unrealistic returns. But to provide balanced, structured, and consistent investment research.

If that sounds like something you need, you can try your first full AI-powered report for free.

Just sign up, add your holdings, and let the agents get to work.

Welcome to SignalButler.