Free crypto backtest tool — see how DCA would have performed
Add coins to start building your portfolio
Select coins, set your investment parameters, and run the simulation to see how your DCA strategy would have performed historically.
Upgrade to Premium
Join Alpha Factory for full access to all tools, portfolio insights, and the community.
Not financial advice. Past performance does not guarantee future results. This tool uses historical price data for educational purposes only.
By Menno — 13 years in crypto, 3 bear markets survived, zero paid promotions
Last updated: March 2026
This simulator helps you test how a schedule-based crypto accumulation plan would have behaved using historical market data. It is most useful when you use it to compare scenarios, size positions more carefully, and avoid mistaking a habit for a strategy.
Methodology
The public DCA simulator takes your chosen asset mix, contribution size, frequency, and date range, then estimates invested capital, average cost basis, and portfolio value from historical price data. It is a planning and review tool, not financial advice, and it becomes far more useful when paired with risk limits and selective asset choices.
Primary Sources
Investor.gov: Dollar-cost averaging
Baseline definition for regular investing and why schedule-driven buying changes investor behavior.
FINRA: Dollar-cost averaging and regular investing
Regulator-backed context on the tradeoffs between investing on a schedule and waiting for a 'better' entry.
CoinGecko API docs: historical market data
The public simulator relies on historical market data to estimate invested capital, value, and cost basis over time.
Use This With
Crypto DCA Strategy
Turn a backtest into an actual process with position sizing and review rules.
Altcoin Rules
Pair a fixed schedule with a live risk map instead of buying every week on autopilot.
Crypto Health Check
Pressure-test whether your current habits match the strategy you think you are following.
The Alpha Factory DCA Simulator is a free backtesting tool that shows how dollar-cost averaging would have performed across 1,000+ cryptocurrencies using real historical price data from CoinGecko. Enter any coin, investment amount, frequency (daily, weekly, or monthly), and time period to see total return, average cost basis, and portfolio value over time.
Instead of guessing whether DCA works, you can run the numbers on any cryptocurrency going back years. The simulator supports Bitcoin, Ethereum, Solana, and over 1,000 other cryptocurrencies through real-time CoinGecko data.
A DCA simulator is a backtesting tool that shows you how a dollar-cost averaging strategy would have performed using real historical price data. You choose a cryptocurrency, an investment amount, a frequency, and a date range, and the simulator calculates your total invested, portfolio value, ROI, and average cost basis.
Dollar cost averaging means investing a fixed amount of money into an asset at regular intervals, regardless of price. When prices are low you buy more units, and when prices are high you buy fewer. Over time this smooths out your average purchase price and reduces the impact of short-term volatility.
Yes. The simulator supports over 1,000 cryptocurrencies through the CoinGecko API. You can search for any supported coin and add up to 10 to a single simulation. Popular choices include Bitcoin, Ethereum, Solana, Avalanche, and Chainlink.
The public version is free and requires no account. You can configure your portfolio, run simulations, and view the portfolio value chart. Detailed coin breakdowns and export options are available with a free Alpha Factory account.