If you've traded futures in the crypto market, you've likely encountered this confusion: you clearly got the direction right, but ended up losing money; you clearly set a stop-loss, but always got stopped out at the lowest point; you clearly learned countless chart patterns and indicators, but once you go live, you're all over the place.

Through a sliding window (N=20) analysis of 2022 BTC-USDT-SWAP data, this guy's cards are basically all on the table. He didn't get rich by "predicting"—he ground it out in the market with extreme odds.

Compiled the most hardcore trading insights screenshots from Bit浪浪, covering the underlying logic of naked K, risk control, and mindset. It's recommended to look at each one carefully.

In the trading world, money management (Position Sizing) is often regarded as gospel. There are two extreme schools in the market: the Martingale strategy and the Anti-Martingale strategy. Many people believe that Anti-Martingale is absolutely correct, but the truth may be crueler: if lacking correct entry logic, the Martingale strategy is 'sudden death,' while the Anti-Martingale strategy is 'boiling a frog in slow fire.'

Recently, I compiled a trader's complete sliding window data on BTC-USDT-SWAP from 2022 to 2024. When I looked at the two sets of data—"profit-loss ratio" and "win rate"—together, I found a very typical, even somewhat extreme, survival sample.

Recently, I used the data mining feature of 'Langlang Lab' to review over 4,000 real trades by top trader Bit浪浪 over a period of time.