Bitcoin DCA Bot
Test a rule for stacking Bitcoin on dips
Simulate BTC dollar-cost averaging with strict limits and current spot data before putting exchange funds at risk.
What you get
Built for Bitcoin
Simulate BTC dip accumulation with a rule you control: threshold, size and limits instead of guessing the bottom.
Spot market data, no leverage
The current engine reads public BTCUSDT spot data and models buys only. It has no futures, margin or live-order adapter.
Simulated first
See how your BTC DCA would have performed on live prices before committing a single satoshi.
Alerts you'll actually read
Telegram pings for every pending buy with a countdown, plus a /pnl command for your position.
How it works
- 1
Set your BTC rule
Choose the dip threshold and USDT amount per buy for BTCUSDT.
- 2
Dip detection
The bot watches Bitcoin's price against its 24h high on Bybit spot.
- 3
Risk-checked buy
Spend caps and cooldown gate every order; a dry-run buy is scheduled with a cancel window.
- 4
Watch it stack
Track average cost basis and unrealized PnL on your BTC position.
Frequently asked questions
Is this a good way to accumulate Bitcoin?
Dollar-cost averaging into dips is a common long-term accumulation approach. This bot automates it with spend caps and a dry-run mode to reduce risk.
Does it hold my Bitcoin?
No. The current release does not connect to a private Bybit account, execute orders or custody Bitcoin. Every recorded buy is simulated.
Can it use leverage on Bitcoin?
No. It models a spot-only accumulation strategy and has no margin, futures or live execution path.
What if Bitcoin keeps falling?
Daily and weekly limits cap simulated allocation. They do not stop Bitcoin from falling or turn the strategy into a profit guarantee.
Bitcoin DCA vs lump sum — which is better?
Lump sum wins in steadily rising markets; DCA wins psychologically and in volatile or falling markets by averaging your entry. Dip-triggered DCA aims to improve on calendar DCA by buying only when price is already down — and our dashboard benchmarks all three honestly.