Strategy

Mole: the silent digger

A set of trend-following, counter-trend and quantitative bots, one per trading pair, for long and short trading. Mole works under the surface of the market and waits for its entry conditions.

Trading pairs
46
Active bots
184
Avg. risk per trade
L0.5% S0.5%
Total returnfor 180 days
+48.42%
Timeframes6h · 8h · 12h · 1d
Closed trades5,463
Win rate83.8%
Max drawdown-1.86%

Best pairs over the whole history: NEARUSDT +3.62%ZECUSDT +2.92%ICPUSDT +1.97%CHZUSDT +1.87%UNIUSDT +1.8%BATUSDT +1.79%

Statistics updated daily · 07.11.2026. Results of the strategies on historical data; not the result of your account and no guarantee of future returns.

How Mole trades

What Mole trades

Mole runs one bot per pair on 40+ USDT perpetual pairs on 6h to 1d candles. Unlike Wolf, which uses one logic everywhere, Mole mixes bot types: trend-following on pairs that trend, counter-trend and quantitative on pairs that range.

Waiting for the conditions

Mole trades less often than a grid: a bot may stay out of the market for days until its conditions line up. When they do, the AI entry filter evaluates market data and allows the entry only when its forecast meets the configured thresholds.

Exits and risk

Order levels, exits and risk parameters are defined by the strategy rules of each bot. The risk per entry is the same share of the deposit for every pair, scaled by your multiplier.

Who it suits

Who Mole suits

Traders who want wide altcoin coverage like Wolf but a mix of approaches instead of a single quantitative logic. Mole and Wolf complement each other and are often selected together in My assembly.

What to keep in mind

Mole's history starts in May 2026, after the model was trained, so the statistics are out-of-sample but shorter than Lion's and Owl's. Judge it by months, not days.

Questions about Mole

How is Mole different from Wolf?

Same pairs and timeframes, different bots: Wolf uses one quantitative logic on every pair, Mole combines trend-following, counter-trend and quantitative bots. Their results are not identical, which is why combining them diversifies further.

Why does the history start in May 2026?

The AI entry filter was trained on data before that date. The catalog shows only the period the model did not see during training.

Can I change the pairs later?

Yes. Pairs, risk multipliers and the deposit mode are edited on the strategy page in the dashboard at any time; removing a pair closes its positions.

Where do the statistics come from?

From the daily tests of every bot on historical Binance candles, net of exchange fees, on a fixed deposit with multiplier x1. Not a client result and no guarantee of future returns.

Ready to let the strategies trade?

Register, connect an exchange and pay only from the profit.

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