Crypto markets are highly volatile and trading can be risky.
Education only, not investment advice. For adults aged 18 and over. Past prices do not predict future results.
Free lesson · 6 minute read · no account
Dollar-cost averaging,
replayed over real prices.
What would a fixed weekly amount have done over the last two years? Run it yourself, beside plain scheduled
spending of the same money, and see why the comparison that matters is cost per unit and not the final number.
Replay a schedule
Pick a set of rules, a pair and a window. The left column is the rules you picked. The right column is plain
scheduled spending of the same total. It is always shown, because without it every rule looks like it worked.
A simulation of the past, not a forecast. Fees are modelled at 0.1%; slippage, exchange minimums and taxes are not.
Past prices do not predict future results.
The idea in four parts
What dollar-cost averaging is
Putting the same amount into an asset at a fixed interval, whatever the price is that day. When the price is low the amount gets you more units; when it is high, fewer. Your average cost ends up somewhere inside the range of prices you paid.
What it is not
It is not a way to come out ahead. Decades of research on shares, and the same arithmetic on crypto, say that putting a lump sum in at once has finished ahead of spreading it out more often than not, simply because the money was exposed for longer. Averaging in does not fix that, and nothing on this page says it does.
Why people use it anyway
Most people do not have a lump sum. They have part of a monthly income. A fixed schedule removes the question of when, which is the question that makes people freeze, chase a rally or sell a fall. Its value is behavioural: it is a plan people actually keep.
Where it goes wrong
Averaging into something that keeps falling and never recovers just averages a loss. A schedule does not make an asset safe. Crypto prices have fallen by more than half, more than once, and may not come back. Only ever use money you can afford to lose entirely.
How to read the result
- Deployed
- The total money the plan spent over the window.
- Units
- How much of the asset that money ended up with.
- Avg cost
- Deployed divided by units. The one number the two columns can fairly be compared on.
- Value now
- Units at the latest closing price. It moves every day and says nothing about tomorrow.
- Buys
- How many separate purchases the plan made.
Three ways to fool yourself with a replay
Judging a rule by its final value
In a window where the price rose, any rule that spent its money earlier finishes with a bigger number, whether or not the rule is any good. That is why the replay always runs plain scheduled buying beside it with the same total spent, and compares cost per unit instead.
Picking the window that flatters
Six months, twelve and twenty-four can tell three different stories about the same plan. Run all three. If a rule only looks good in one of them, you have learned about that window, not about the rule.
Treating a replay as a forecast
A replay answers one question: what would these rules have done over prices that already happened? It cannot see the next twelve months, and neither can anyone selling you a number.
Unfamiliar word? The glossary defines the terms used here in plain language.
Questions
Is this investment advice?
No. This page explains a method and lets you replay it over past prices. It does not tell you to buy, sell or hold anything, and it does not know your circumstances. Speak to a qualified adviser before making investment decisions.
Where do the prices come from?
Daily closing prices for the last 24 months, from a public exchange price feed. The replay models a 0.1% fee. It does not model slippage, exchange minimum order sizes or taxes.
Why can I only go back 24 months?
That is the history we can serve reliably. Stating a longer horizon than we can actually cover would make the answer worse, not better.
Do I need an account to use the replay?
No. It runs on this page, with no account and no payment details.
One lesson a week, by email
Plain-language lessons on risk, position sizing and reading a replay honestly. Education only, never advice, and
never a tip.
Who made this
Stralines Labs Private Limited, a software company. We are not an exchange, a broker or an investment adviser, we
never hold anyone's money or coins, and we are not registered with any financial regulator. We built the replay
because a claim about a method should be something you can check yourself.
The full replay, with more settings and a longer price history, lives inside
our automation software.