Avg 7D post-surge: -11.1%
Coins tracked: 4,342
Survival rate: 24.6%
RSI overbought drop: 74.8%

Auto-Trading Bot Dev Log #1: The Statistical Case for Mean-Reversion Shorts

Bot Strategy Metrics
83.2%
4-Condition Drop Rate
RSI 85+
Overbought Threshold
2%
Risk Per Trade
+15%
Stop Loss Level

We’re building an automated trading bot based on coinugget.com/stats data. In this series, we share the statistical foundation behind the bot’s core strategy: mean-reversion short.

💡
The average 7-day return of 4,342 surge coins is -11.1%. This is strong evidence that surge coins statistically “revert to the mean” — and systematically exploiting this pattern is the bot’s core idea.

Entry Conditions

Optimized entry conditions based on backtesting:

ConditionThresholdRationale
RSI (15min)85+Overbought signal: 74.8% drop rate
BB Upper Gap+20%+Upper band break → mean reversion
EMA Alignment (4H)DowntrendAlign with higher timeframe trend
Surge Size20%+Larger surge = larger decline
🎯
When all 4 conditions are met, the 7-day drop probability is 83.2%. The combination significantly outperforms individual conditions.

Risk Management

Position Sizing

2% of total capital risked per trade. Even 10 consecutive losses only result in 18.3% total drawdown.

Stop Loss & Take Profit

LevelTargetAllocation
TP 1-5%50% of position
TP 2-10%30% of position
RemainderTrailing stop20% of position
⚠️
This is not trading advice. We are sharing our bot development process. Always conduct your own due diligence before live trading.
Data Source: coinugget.com/stats — Real-time signal performance tracking across Binance, Bybit, Gate.io, MEXC
Series: Auto-Trading Bot Dev Log #1 | Next: #2 — Backtest Results & Live Simulation
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