NON-CUSTODIAL·AES-256-GCM ENCRYPTION·BUILT ON FREQTRADE
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Strategy type

Build a DCA Bot for Crypto

Dollar-cost averaging takes the timing guesswork out of buying crypto. On VolatiCloud you express a DCA bot with Freqtrade position-adjustment — backtested first, then live and hands-free.

What it is

Build a DCA Bot for Crypto, explained.

A DCA (dollar-cost averaging) bot buys a fixed amount over time instead of trying to time a single entry, smoothing your average price across a position. It is one of the most forgiving systematic approaches because it spreads risk across many entries rather than betting on one.

On VolatiCloud a DCA strategy is expressed with Freqtrade's position-adjustment mechanism: the bot opens a position and then scales in with additional orders — on a schedule, or when price moves against you by a threshold. You define the trigger and the sizing; the engine handles execution. It is a strategy you build and own, not a black box.

How it works

From idea to a running bot.

You decide how and when to add to a position; VolatiCloud compiles it to native Freqtrade and runs it.

01

Set the base entry

Define the initial entry condition in the visual builder — or just a simple recurring buy — for the pair and exchange you want to accumulate.

02

Add the averaging rule

Use position-adjustment to add to the trade on a schedule or when price drops by a set percentage, with the order sizes you choose for each tranche.

03

Backtest the average-in

Run it on real historical data to see the average entry price, drawdown, and how many tranches typically fill before an exit.

04

Deploy and monitor

Promote it to a live or dry-run bot on a managed runner and track each fill, the blended cost basis, and PnL from the dashboard.

Who it's for

Built for the way you trade.

DCA suits accumulators and anyone who would rather not stare at charts to pick a bottom.

Long-term accumulators

Systematically build a position in an asset you believe in, without trying to nail the exact low, and with every fill logged and auditable.

Risk-spreaders

Average into volatile pairs across many smaller orders so a single bad entry can't define your cost basis.

  • Position-adjustment scaling — schedule or dip-based
  • Backtest the blended cost basis before going live
  • Works on spot across all 14 exchanges
  • Build it with no code, or refine it in Python
  • Every fill logged for a full audit trail
FAQ

Frequently asked questions.

Is a DCA bot the same as recurring buys?

It can be. A simple time-based DCA bot places recurring buys, but on VolatiCloud you can also average in only on dips using Freqtrade position-adjustment — adding to a position when price falls by a threshold you set.

How is DCA implemented under the hood?

Through Freqtrade's position-adjustment callback. The strategy opens a trade and then adds to it with extra orders based on your rules. The builder compiles to native Freqtrade Python, so there is no proprietary DCA engine.

Can I backtest a DCA strategy?

Yes. Every DCA strategy can be backtested on real historical data so you can see the average entry price, the maximum number of tranches, and the drawdown before committing capital.

Which exchanges support DCA bots?

Any of the 14 supported exchanges, since DCA runs on spot markets. Pick the venue your funds are on and connect it non-custodially with a trade-only API key.

Ship your first live bot this afternoon.

Connect an exchange, build a strategy in the visual builder, backtest it on real data, and deploy. Start a 7-day Pro trial — no credit card required.

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