Additional areas for in-depth study

Fundamental analysis of cryptocurrencies

• Evaluation of the project’s technology and real-world use cases

• Tokenomics analysis (distribution, issuance, burn mechanisms)

• Study of the team and project roadmap

• On-chain metrics (network activity, number of addresses, transaction volume)
  Impact of regulatory news on individual projects.

Derivatives

• Cryptocurrency options (hedging and speculation strategies)

• Perpetual futures and funding rates

• Strategies using derivatives to reduce risk.

Algorithmic trading

• Basics of programming for trading (Python, JavaScript)

• Building simple trading bots

• Backtesting strategies on historical data

• Exchange APIs and their use

• Automation risks and the need for monitoring.

Portfolio management

• Principles of diversification in cryptocurrencies

• Portfolio rebalancing

• Capital allocation between trading and holding

• Assessment of correlation between assets.

Intermarket analysis

• Impact of traditional markets (stocks, gold, the dollar) on cryptocurrencies

• Correlation of Bitcoin with other assets

• Use of macroeconomic indicators.

Key principles of self-education

1. Consistency: do not try to learn everything at once. Move from simple to complex, from basic concepts to advanced ones

2. Source verification: the crypto space contains a lot of unreliable information and outright scams. Verify facts using multiple independent sources

3. Practice over theory: reading about trading and trading itself are different skills. Apply knowledge in practice (start with a demo account)

4. Critical thinking: do not accept other people’s strategies on faith. Test them, adapt them to yourself, and evaluate results objectively

5. Continuous learning: markets change, new tools and approaches emerge. What worked a year ago may not work today

6. Specialization: it is better to deeply master one area than to have superficial knowledge of many.