When trading on Binance, different taxonomy levels can be distinguished that reflect the complexity and depth of trading activities.
1. Asset Selection
At the beginning, the choice of trading instruments is crucial: users decide between cryptocurrencies (Bitcoin, Ethereum, Altcoins), token pairs, and stablecoins. This is also where the classification by market capitalization and liquidity takes place.
2. Types of Trading
In the second step, Binance distinguishes between classic spot trades (direct buying/selling), margin trading (trading with leverage), futures/derivatives (betting on price movements), and staking products. Each category has its own risks and profit opportunities.
3. Order Types
The platform offers various types of orders: market orders (immediate trading at the current price), limit orders (execution upon reaching a desired price), stop-loss/take-profit orders (hedging or profit-taking), as well as advanced types like OCO (“One Cancels the Other”).
4. Strategies
Traders apply different strategies: day trading, swing trading, scalping, long-term investing (HODLing), or algorithmic trading using bots. The strategy determines risk and time management.
5. Analysis Methods
Differentiation is made between technical analysis (chart patterns, indicators), fundamental analysis (adoption, news, developer activity), and sentiment analysis (mood pictures, social media).
6. Risk Management & Diversification
This includes setting position sizes, using stop-losses, portfolio diversification, and hedging.
7. Automated and Social Trading Features
Finally, there are options such as copy trading, social trading, or the integration of external trading bots to replicate strategies from experienced traders.
Summary:
Trading on Binance can be structured taxonomically: from the selection of coins and types of trading to order types and strategies, as well as analysis methods and risk management. Each level builds on the previous one and increases the complexity of trading activities.
#skill