How I Started Using n8n to Optimize My Limited Crypto Time - With the visual flow

Recently I set out to learn how to use n8n. I had heard about this tool before, but I never had the time to dedicate to it. My days were already full of different projects, and there was simply no room to add more.

Eventually, my schedule freed up a bit, and I decided to dedicate that time to learning n8n. But then I asked myself a big question, what should I actually optimize? I remember lying on the beach, staring at the sky, when the idea hit me like a ray of sunlight: Crypto.

You might think, how does a task automation platform connect with cryptocurrencies? For me, the answer was clear. If you are into crypto you know that you constantly need to read, stay updated with the news, and if you are more technical, you also need to track the history of your assets. With that in mind, I got to work.

My First Telegram Bot

The first thing I built was a Telegram bot. I wanted a single place where all the information I needed could flow.

I connected it to n8n and added my first node to listen to all the messages the bot receives. The first command I created was /btc. This command triggers a workflow in n8n that fetches the current price of Bitcoin at 4 hour intervals. Since I know how to code, I added another node to calculate RSI and EMAs, two technical indicators that we nerds use to analyze assets.

Adding AI to the Workflow

Once I had these metrics, I thought it would be even better to add AI to the mix.

So I did.

Now, when I type /btc, the workflow not only gives me the price, RSI, and EMAs, but also sends this data to an AI model. The AI then analyzes it and tells me what I could do in the following hours: buy, sell, or simply wait. All of this comes from one simple command in my Telegram bot.

Getting Creative with More Commands

That was only the beginning.

I created another command called /magic btc. This one not only gathers price data and technical indicators, it also fetches the latest finance and crypto news from popular blogs. After that, it sends everything to a large language model that generates a prediction for the next three days.

For me, that was like discovering fire. But I did not stop there.

I added an automatic trigger that runs every hour. It sends me updates on the list of coins that I add using the /add command. The list is stored in Supabase, and every hour the bot checks their status and sends me a market update directly to Telegram.

Daily News at 5 AM

The last command I built has become one of my favorites.

I wake up early to go to the gym at 5 AM, so I set the bot to send me the most relevant crypto news right at that time. In just a few minutes before training, I can catch up on what happened overnight. In finance, being early is important, so this small automation saves me a lot of time.

Final Thoughts

At this point, my workflow feels solid. I no longer need to worry about constantly checking my phone or digging through charts and news feeds. Everything flows into my Telegram bot, and I can get all the information I need from a few simple commands.

Since my time is limited, especially when it comes to crypto, optimizing with n8n has been a game changer for me. What started as an experiment quickly became a personal assistant that saves me a lot of manual work.

I can mention more things I used to implement the n8n instance, such as Docker, Traefik, and Node.js, but today is not the day.

This is only the beginning, but it already feels like a superpower.