What should newcomers in the crypto world pay attention to?

7 Iron Rules for Beginners

Leverage Control

In the initial stage, it is recommended to use ≤3x leverage, and gradually increase after becoming proficient

Warning from the opposite example: The webpage mentioned that some investors used 5x leverage for 4-hour level trading, resulting in a single transaction risk of 25% leading to liquidation

Position Management

Single transaction funds ≤ 10% of total position, reduced to 5% in extreme markets

Pyramid Adding Method: Initial position 3%, add in batches after reaching profit target

Mandatory Stop Loss and Take Profit Settings

Stop Loss Line: Must exit with a loss of 2-5% of the principal (e.g.: 10,000 yuan principal, single stop loss 200-500 yuan)

Take Profit Line: Close 50% of the position when profit reaches 3%, track remaining position to take profit

Basic Tools for Technical Analysis

Trend Judgment: MA30 and Bollinger Bands middle track at 4-hour/daily level

Buy/Sell Signals: RSI overbought (≥70)/oversold (≤30) + MACD golden cross/death cross resonance

Platform Selection Criteria

Prioritize the three major exchanges: Binance (best liquidity), OKX (perfect Web3 ecosystem), Bybit (strong system stability)

Verification Elements: Transparency of funding rates, explanation of forced liquidation mechanisms, reserve amount of insurance fund

Emotional Management Taboo

Prohibit "Counter-Trend Averaging Down": 90% of those who bought the dip during the Luna crash faced liquidation

Prohibit "Revenge Trading": Mandatory stop for 24 hours after two consecutive losses

Black Swan Response Plan

Sudden Policy Risk (e.g., new US SEC regulations): Immediately close positions and buy put options to hedge

Exchange Risk (e.g., USDT de-pegging): Keep 50% of funds in cold storage

Cognitive Misconceptions

❌ "Contracts = Quick Wealth": In reality, 90% of newcomers lose money and leave within three years

❌ "Technical Analysis is Omnipotent": During the 2024 519 incident, purely technical investors lost over 60% in a single day due to not predicting policy risks

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