Recently, with the year coming to an end, half of my friends on social media are summarizing their 2025 gains, while the other half are showing off their salaries and strategies because Elon Musk mentioned benefits again.

I'm quite frustrated—big coins this year earned then lost, basically breaking even or slightly profitable; small coins, let’s not even talk about it, losing money rapidly. I won’t post profit screenshots; it’s pointless. I’ll share some reflections on losses, which at least makes me seem more like an adult than pretending to be cool.

This year, I also played quite a few tricks and tried new strategies. The only thing I’m grateful for is that I mainly concentrated experimental activities on one account, not treating my main account as a trash bin. Coincidentally, I recently heard that Moss AI can analyze operation records through a one-time API call, so I gave it a try.

The results were surprisingly accurate; the data it produced matched my impressions pretty well: this account doesn’t trade much, starting with 10,000 yuan, and last year I lost over $2,800 in total. The main losses were concentrated in four coins: BTC, SWARM, ACT, and TAKE.

Moss pinpointed the reasons for my big Bitcoin losses very precisely:

I usually don’t leverage or use low leverage, but when the market fluctuates, seeing others passionately go all-in, I got caught up in the moment and used high leverage of 20-50x for the first time—too much volatility, couldn’t hold, and got wiped out.

For the other three small coins, Moss also identified the reasons: it’s quite classic—rumors that initially make money, then lose everything, holding on until almost zero. You think you’re waiting for the payout, but actually, you’re just waiting for retribution.

Looking at the annual summary, a 70% win rate seems decent, but Moss’s diagnosis hits the mark:

1. Holding losses for too long
2. Revenge trading
3. Loss of control over position size—single losses can reach 4.1% of capital
4. Going against the trend—shorting in a bull market

The comparison of long and short trading success rates is also very straightforward:
Long position win rate: 72.73% (143 trades)
Short position win rate: 66.18% (68 trades)

The conclusion is clear: I’m obviously better at going long than short. Moss’s advice is very direct: reduce short trading volume by 50%, and focus on trend-following long opportunities, especially in trending markets.

Speaking of this, I also want to share a growing feeling I’ve had recently:

“News coins,” “rumors,” “dark pools”—these things are mostly unreliable, and the more confidently they’re guaranteed, the more likely you are to lose big.

Many projects are still directly recommended by friends in real life: not buying feels like missing out and losing face; buying, on the other hand, means the information has changed hands multiple times, and even the source might be losing money. Usually, it’s not a conspiracy to “specifically cut you off and make you profit,” but the biggest problem in crypto is: too many uncontrollable factors, and human nature remains very stable.

You’ll see many projects:

When short of money, they bow and scrape, ask for help with promotion and resources; once they make some money, they immediately turn hostile, tearing up agreements at will. Some projects make a little profit, but human greed exposes itself—internal conflicts, fighting over the cake, both sides hurt.

Others have too small a scope, content with small wealth and ending hastily, leaving chaos behind.
More realistically, inside the project team, inside MM, and inside exchanges, no one is on the same page; these parties are full of scheming. So, for small coins to be stably profitable, it’s really difficult. The difficulty lies in the fact that you’re not just facing the market, but a system of human nature layered on top.

I think Moss’s advice is very reasonable (and quite “cold-blooded”—but trading should be cold-blooded):

Hard rules: No single trade should lose more than 2% of the account funds.
Start small, rebuild gradually, let discipline return first, then consider enlarging positions.

Improvement list (I plan to follow this myself):
1) Set a maximum loss rule of 2%: before each entry, calculate position size: account balance × 2% ÷ stop-loss distance
2) Reduce short trades: only short in clear downtrends, and cut shorting frequency by 50%
3) Gradually rebuild: start from small levels, prove consistent discipline, then increase positions
Moss also didn’t forget to encourage me, saying: a 70% win rate means you have skill—you’re not lacking judgment, but self-discipline.

In summary, trading is never about “how much you know,” but “whether you can do it.”
Strict discipline, small wins stacking into big wins; accept that this game often depends on luck, face volatility and losses calmly, keep a steady mindset, and treat profits as results, not obsessions.

If you also want to pull out your operation records like I do and let AI give you a “health check,” you can try Moss AI: