Trading Research Hub

Trading Research Hub

Share this post

Trading Research Hub
Trading Research Hub
Here’s My 2024 Trading Performance Review as a Crypto Trend Follower - Research Article #56
Copy link
Facebook
Email
Notes
More

Here’s My 2024 Trading Performance Review as a Crypto Trend Follower - Research Article #56

An honest look at my trading performance in 2024.

pedma's avatar
pedma
Jan 16, 2025
∙ Paid
3

Share this post

Trading Research Hub
Trading Research Hub
Here’s My 2024 Trading Performance Review as a Crypto Trend Follower - Research Article #56
Copy link
Facebook
Email
Notes
More
3
1
Share

👋 Hey there, Pedma here! Welcome to the 🔒 exclusive subscriber edition 🔒 of Trading Research Hub’s Newsletter. Each week, I release a new research article with a trading strategy, its code, and much more.

If you’re not a subscriber, here’s what you missed this past month so far:

Crypto Trend Through the Lens of Volume and Market Cap - Research Article #55

Crypto Trend Through the Lens of Volume and Market Cap - Research Article #55

pedma
·
Jan 9
Read full story
Building Systematic Trading Infrastructure - Research Article #54

Building Systematic Trading Infrastructure - Research Article #54

pedma
·
December 28, 2024
Read full story
Why Was my Trend Model Underperforming? - Research Article #53

Why Was my Trend Model Underperforming? - Research Article #53

pedma
·
November 28, 2024
Read full story

If you’re not yet a part of our community, subscribe to stay updated with these more of these posts, and to access all our content.

Join 6k+ Traders and Investors👇


Trading trend-following in crypto has its ups and downs.

Sometimes you are making an unbelievable amount of returns…

… but then reality hits, and you realize that you are trading trend, so most of the times, you’re just losing money.

(The returns above are real % net returns from my portfolio by the way. I just adjusted it to a starting equity of $100 for demonstration purposes.)

That is the nature of positively skewed models.

Skewness

What is positive skew? It’s just a fancy way to say that most of the trades are losses, and sometimes, I win big on a few trades.

Well, usually at the end of the year, people that invest/trade for a living, have the habit of going over their performance, and thinking through what went wrong and what could have been better.

2024 is over and it’s that time to review my performance in-depth.

During 2023 to early 2024, I was outperforming on a consistent basis both Bitcoin and the Altcoins benchmark I’ve designed.

By early 2024, I even qualified as top 99.53% trader in Binance.

But something changed during 2024…

I was no longer outperforming the market.

Here’s my performance, net of fees (blue line), up until the end of 2024:

Live Performance Since 2023 (blue line)
Live Performance Statistics Since 2023

So several questions naturally come up:

  • Why am I underperforming?

  • Is my model’s edge decaying?

  • Should I change strategy going forward?

That is what we will find out today.

I hope to share with you how I think about drawdowns and losing periods, from a rational perspective, so that we do not allow emotions to cloud our decision-making.

Trading is a really hard game, and anyone that says otherwise is trying to sell you something.

Underperformance doesn’t necessarily mean that you are doing something wrong, but it can, so we need to figure out if we should proceed as we are, or something has to be changed.

1-year is not enough data to figure out if a model continues to produce returns, especially not in the low frequency model types that I run. However, there’s multiple red flags that I have been not addressing that are the main sources of concern:

  • Acquired Knowledge: I have built this model in 2021, which with the experience I’ve gained in the past 3 years, I know it is pretty naive. I have mostly disregarded them because the model was indeed outperforming, and I find it hard to change something that is working well.

  • Reliable Simulations: There’s no way to reliably test the entry signal because I am trading as the asset breaks out of a consolidation. It’s really hard to match reality to a simulation when there’s a “moving” signal throughout the day.

  • Fundamental Filters: There’s no filters for liquidity and/or market cap. This means that I am trading anything that comes up, and as we’ve seen in previous articles, this is extremely important in crypto. The lower the liquidity a coin has, the easier it is to move it around and affect sustained trends, which is what we’re looking after.

  • Equity Volatility: Volatility is not controlled. This in itself is not a bad thing, there’s plenty of old school trend followers that use one entry, one exit type models.

Ok now let’s get into analyzing the performance and finding out why or if I REALLY underperformed in 2024.


Index

  • Introduction

  • Index

  • Core Objective

  • Benchmarking Performances

  • Worst Period of Performance

  • Best Trades

  • Changes in 2025


Core Objective

If we want to know if we are underperforming, the first thing we need is accurate benchmarks.

In simpler terms, we need to test our strategy against others that are similar to they way we trade.

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 Trading Research Hub
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share

Copy link
Facebook
Email
Notes
More