Technical profile and market coverage
Gadget
uses Bybit
on 15m timeframe.
Sample capital: $1000.
Recommended minimum: $200.
Technical notes
Gadget runs a custom risk-first reinforcement-learning core (gen 2) that learns neutral/long/short decisions directly from market interaction. Its inputs blend several time horizons and a basket of trend, momentum, volatility, and volume-quality features. Every entry must clear the core's decision plus multiple breakout-quality filters, while exits combine the core's decision with volatility-based stops, profit locking, emergency cuts, and time exits. The design focuses on stable behavior and tight risk control across market conditions.
Covered pairs (2)
BTC/USDTSOL/USDT
Full bot details
Gadget acts like a risk-first controller: it checks trend, volume, volatility, and breakout quality before the core confirms direction. In unclear conditions it limits entries, while exits combine the core's decision, dynamic stop behavior, profit locking, and time-based protection.
Risk-first reinforcement-learning bot for Bybit futures, steering long/short decisions with a risk-first core and market-quality filters.
Supported leverage range: 1x to 4x.
The model warm-up uses 320 initial candles.
Features
Custom risk-first reinforcement-learning core (gen 2).Three-state decision space to reduce unstable behavior.Multi-layer entry filtering with trend, strength, volatility, volume, and breakout checks.Risk-first reward design with drawdown penalties and circuit-breaker behavior.Hybrid exits using the core's decision, volatility stops, profit locking, and time exits.