In today’s world, artificial intelligence (AI) is becoming an integral part of many industries, and trading is no exception. Large companies are investing billions of dollars to develop and implement neural networks for trading, and this trend will only intensify in the coming years. Neural networks open up new opportunities not only for big players, but also for ordinary traders, providing tools that were previously unavailable.
The role of neural networks in trading
Despite significant progress, neural networks cannot yet fully replace humans in trading. They act as a powerful auxiliary tool that helps in data analysis and decision making. The main scenarios of using neural networks in trading include:
- Searching for non-obvious patterns
Neural networks are capable of processing huge amounts of data in seconds, identifying complex and non-obvious patterns that can be missed by humans.
- processing of trading results
Modern chatbots can analyze trading statistics and make recommendations to improve its efficiency and reliability .
- correlation and cointegration estimation
Neural networks help to evaluate correlations between different financial instruments, which is important for portfolio diversification and risk management .
- Writing Expert Advisors and Indicators
Chatbots that understand natural language can convert trader’s ideas into ready-made code, which can then be used in trading systems.
- Providing ready-made recommendations
Many AI services provide ready-made advice such as “actively buy” or “sell” based on an analysis of current market conditions .
Overview of AI services and frameworks for trading
- TensorTrade
TensorTrade is a Python framework that uses neural networks to develop and evaluate trading strategies. It includes an environment for managing agents who make trades and a reward system for evaluating their performance .
- Tickeron
Tickeron is an online platform that uses AI for pattern recognition and trend forecasting. It also offers AI-based robots and a portfolio replication feature .
- Fulgent AI
Fulgent AI, developed by trader Ed Downs, is able to find reversal entry points, look for swing trades and trade on sharp increases in volatility. This service is available through MetaStock and other platforms .
- TrendSpider
TrendSpider is a feature-rich tool that supports pattern recognition, trend detection, automatic seasonality analysis and more. It also provides insider information and tracks analyst sentiment .
- Octobot Cloud
Octobot Cloud is a cloud-based platform that uses AI to analyze the market and make trading recommendations. It supports TradingView strategy automation, Smart DCA averaging strategy and cryptocurrency creation .
- Trading Literacy
Trading Literacy is a service that analyzes trading statistics using Chat GPT. It allows traders to upload their reports and receive recommendations to improve trading .
- StockGPT
StockGPT provides information on companies from the S&P 500 and NASDAQ indexes. It helps you quickly find the data you need and analyze financial performance .
- Holly (Trade Ideas)
Holly is a virtual trading assistant developed by Trade Ideas. It evaluates the market on a daily basis, takes into account all changes and provides recommendations for investing and trading
Conclusion
Neural networks open new horizons in trading by providing powerful tools for analysis and decision-making. However, it is important to remember that they are only an auxiliary tool and cannot fully replace human analysis and intuition. The choice of a suitable AI service or framework depends on individual preferences and the trader’s level of training.
