Artificial intelligence is no longer a futuristic concept — it is already being actively used in trading. According to CoinDesk, more than 70% of trading volume on major exchanges is generated by algorithms, not humans. AMBER CRYPTO is one of the companies that has integrated AI into its trading strategy.
Why AI Outperforms Humans
The human brain has limits: we analyze 3–5 parameters at a time and are prone to emotion. AI processes 847 parameters in 3 seconds and knows no fear, greed, or panic. The AMBER AI v4.0 neural network uses an LSTM model trained on 10 years of historical data. The ensemble method — 5 independent models vote on each trade, and a decision is made only when 4 out of 5 agree.
Types of Algorithms in Crypto Trading
There are several main approaches: trend-following algorithms (capitalize on momentum continuation), arbitrage bots (exploit price discrepancies across exchanges), market-making (provide liquidity and earn on the spread), and ML models — the most promising class. ML models can adapt to changing market conditions without manual reprogramming.
Risks of AI Trading
Overfitting is the greatest danger. If a neural network has memorized historical patterns too well, it may fail on new data. At AMBER, we use cross-validation and regular retraining on fresh data. The second risk is technical failures: lost exchange connections and API latency. For this reason, mission-critical operations always have a backup channel.
The Future of AI Trading
Major hedge funds such as Renaissance Technologies and Two Sigma are already using AI to manage billions of dollars. Within 3–5 years, AI trading will become the market standard, and manual trading will be the domain of enthusiasts. AMBER CRYPTO is preparing to launch AMBER AI v5.0, which will integrate NLP-based news sentiment analysis.
Read more about our strategy on the AI Strategy page.