backtest our models
Explore the performance of our models for all supported cryptocurrencies in the charts below. Our backtesting charts display both “HODL” (blue line) and “MODL” (green line) returns. HODL represents the percentage gained by holding a token, and MODL represents the percentage profit of our latest model. So if the HODL line is at 5x on the y-axis while MODL is at 20x, it means the MODL would have performed 4 times better from the period trading started.
Our models are thoroughly tested
Please note that our fee calculations are based on Binance’s fees, which are currently 0.075% per trade. To achieve comparable results, we recommend using the Binance exchange and enabling “pay fees in BNB” in the main menu.
However, please bear in mind that backtesting a model does not guarantee future success as the market can change. Read more. Our backtesting was done using all historical data available on Binance.
Our models are typically outperforming holding the token in the long term. However, do not expect the model to quickly gain profits.
Latest Posts
AI in trading is constantly developing, thus it is important to keep up to date with the latest technologies. We have some articles explaining different aspects of AI in trading.
Chatgpt in trading: An overview of GPT-3 used in Crypto
ChatGPT is more than a language model that can be used in many ways in Crypto trading. It can generate trading strategies, it can help you with fundamental analysis…
How Natural Language Processing is Revolutionizing the Way We Analyze Market Data
The use of Natural Language Processing (NLP) in trading provides traders with a new way of analyzing market data and making investment decisions…
Maximizing Trading Performance with Data Augmentation in AI Trading
In order to train accurate models and make trading decisions, AI traders need large amounts of high-quality data, this is where data augmentation comes in…
Limitations of AI Models in Trading
While testing AI models is an important step in evaluating their performance and accuracy, it is important to understand that testing does not guarantee future profits…
The Importance of Testing AI Models in Trading Crypto
Artificial Intelligence (AI) has become a crucial tool in the world of trading. However, with the increasing use of AI comes the need for thorough and effective testing of AI models…
The Importance of Understanding Trading Fees for AI Model Performance in Trading
Trading fees can significantly reduce the profitability of a trading strategy, especially in high-frequency trading, where many trades are executed every day…
Unleashing the Power of Reinforcement Learning in Trading
In this blog post, we will explore how Reinforcement Learning works, its key concepts, and how it can be applied to trading…
Increasing Efficiency and Reducing Emotional Bias in Crypto Trading
For many traders, it can also be emotionally taxing, leading to mistakes and missed opportunities. This is where automated trading systems come in
The Revolution of AI in Trading: An In-Depth Look at the Latest AI Technologies
Artificial Intelligence (AI) has been making waves in numerous industries, and the world of trading is no exception.
Exploring the Latest Advancements in Automated Crypto Trading
In this blog post, we will take an in-depth look at the current state of automated trading in the crypto market…