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WHY BOTS FAILFREENO ACCOUNTAUTOMATED TRADE BOTSOpen Source CryptoTrading BotThe arithmetic of how bots failEDUCATION ONLY | NO SIGNALSEXAMPLE NUMBERS ARE LABELLEDAUTOMATED TRADE BOTSautomatedtradebots.com
A free page on open source crypto trading bot. Education only, with example numbers labelled.
WHY BOTS FAIL

Open Source Crypto Trading Bot

Short answer

Open source means the source code is published and you may read it, and usually run and change it. It does not mean it is safe, correct or maintained.

Open source means anyone can read the code. That helps, but it does not make a bot safe or profitable. You still have to check it.

The page explains the idea in plain words, works through the arithmetic with a table, and shows how it hits grid, martingale and DCA bots, then tells you what to check before you run one.

  • A worked example with real arithmetic
  • How it hits grid, martingale and DCA bots
  • How to check for it before you run a bot
  • No advice, no signals, no profit promises

Last reviewed 28 October 2026. Education only, not advice.

Free, no account Runs in your browser Worked numbers shown Not advice Examples labelled

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Next: see what a bot costs you in fees

The break-even calculator shows the price move needed just to cover fees and spread on a trade.

Reading time6 minutes
Worked exampleExact arithmetic
Tools linked0 on this page
Reviewed28 Oct 2026

What is included

  • What it is, in plain words
  • The formula or mechanism, with exact arithmetic
  • How it hits grid, martingale and DCA bots
  • A check you can run before you switch a bot on

Who it is for

  • People who run or plan to run a trading bot
  • Anyone reading a backtest or a bot sales page
  • Readers who want the numbers, not the pitch
  • Not advice, and not a signal service
Same made-up 40 trades: paper run versus real fills$24.00Paperperfect fills$16.000.05% slipper side$8.000.1% slipper side$0.000.15% slipper sideMade-up example: 40 trades of $200, 0.5 percent gross each, 0.1 percent fee per side. Calculated by us on 29 Oct 2026, exact.
The picture for this page. Example numbers are made up unless the page says they were calculated.

Key facts

  • Open source means the source code is published and you may read it, and usually run and change it. It does not mean it is safe, correct or maintained.
  • A bot that holds your API key can do whatever that key allows. Review where the key is stored, where it is sent and what the code does with it before it runs.
  • Give the key the least access that works: read balances and place orders, with withdrawals off. Where the exchange allows it, lock the key to your own IP address.
  • Run it on a demo account or on paper first. In the made-up example below, 40 trades that make $24.00 on paper make $8.00 once 0.1 percent slippage per side is added (calculated by us on 29 Oct 2026, exact).
  • Free code still has a cost: your time to read it, run it, fix it and watch it, plus the fees and the risk of the trades it makes.

What open source means for a trading bot

Software is open source when its authors publish the source code under a licence that lets others read, run and often change it. For a trading bot that means you can see the rules it follows, which a closed product does not show you. Many people find that useful because the logic is not a black box.

It is worth being clear about what it does not mean. Anyone can publish code, and nobody has to check it. A project can be abandoned, full of bugs, copied with a hidden change, or simply wrong about how an exchange works. A large number of readers makes a mistake easier to find, but it does not promise someone found it. And readable code says nothing about whether the trading rule makes money. A clean bot with a poor rule loses cleanly.

How to review the code before you run it

You do not need to be an expert to do the first checks. If you cannot read the language at all, ask someone who can, or do not run it with real money. Work through this list in order.

  • Where did you get it? Download only from the project's own official page, not from a link in a video, a chat group or an ad. Fake copies of real projects are a known way to steal keys.
  • Is it maintained? Look at when it was last updated, whether problems reported by users get answers, and whether it still matches the exchange's current rules.
  • Where does the key go? Search the code for the places that read your API key. It should be used only to sign requests to the exchange you named. Any other network address that receives it is a red flag.
  • What does it connect to? List every address the program contacts. A trading bot has no need to send data to unknown servers.
  • What are the dependencies? Bots rely on other packages. Each one is more code you are trusting. Fewer and well known is easier to check.
  • Is the trading rule stated? You should be able to say in a sentence when it buys and when it sells, and what it does if the price falls a long way.
  • Does it have limits? Look for a maximum order size, a stop when losses reach a set level, and a way to switch it off by hand.

API key permissions

An API key is the secret that lets the bot act on your exchange account. Most exchanges let you choose what each key may do. Fewer rights mean less harm if the key leaks or the bot is faulty. The names differ between exchanges, but the ideas are general.

PermissionWhat it allowsDamage if leaked
Read onlySee balances and ordersLow
TradePlace and cancel ordersMedium
WithdrawMove coins off the accountHigh
Transfer between accountsMove funds inside the exchangeHigh

A bot normally needs the first two. It should not need to withdraw. If a bot asks for withdrawal rights to trade, treat that as a reason to stop. Keep the key out of the code you share, out of screenshots and out of chats, and create a new one if you think it may have been seen. A key limited to your own IP address is useless to someone who steals it and tries it from somewhere else, where the exchange supports that option. The crypto trading bot guide covers more on custody.

Run it on demo or paper first

Many exchanges offer a test environment, often called a testnet or sandbox, that uses play money. Where one does not exist, the bot can run in a paper mode that records the orders it would send. Both let you see what the bot does without risking money. See paper trading and demo accounts.

Paper results are still too good. A paper run usually fills every order at the quoted price. Real orders cross the spread and slip. The made-up example shows how much that can matter.

A worked example with made-up numbers

A made-up bot makes 40 trades of $200. Each one gains 0.5 percent gross. The exchange fee is 0.1 percent per side, so 0.2 percent per round trip. Slippage is added on both sides. On paper with no slippage, each trade nets $0.60, a total of $24.00.

Net per trade = size x (gross gain - 2 x fee - 2 x slippage)
Total = net per trade x number of trades
Slippage per sideNet per tradeTotal over 40 trades
0%$0.60$24.00
0.05%$0.40$16.00
0.1%$0.20$8.00
0.15%$0.00$0.00

The paper figure is $24.00. At 0.1 percent slippage per side it is $8.00, which is 67 percent less. At 0.15 percent per side it is $0.00. The numbers are made up, but the lesson holds for any bot: a paper result is a ceiling, not a forecast.

API key permissions ranked by what a leak could do (a general guide)LowRead onlysee balancesMediumTradeplace ordersHighTransferinside exchangeHighWithdrawleave accountA general ranking, not a measurement. Permission names and options vary by exchange, so read yours.
A general ranking of key permissions by the harm a leak could do. Withdrawal is the one to keep off for a bot.

How an open source bot fails

  • Hidden or copied code. A changed copy sends your key somewhere else.
  • Out of date. The exchange changes how its API works and the bot sends orders that are rejected or wrong.
  • A bug in the maths. A rounding, size or fee error can place orders too large or too small.
  • No stop. The code has no loss limit and keeps buying into a long fall.
  • Too much trust in a backtest. A tested result may be overfitted to the past.
  • Your own setup. A key saved in a file that is shared by mistake, or a computer that is not kept secure.

What this page does not tell you

It does not say that any open source bot is safe or unsafe, or that any one earns money. It describes checks that reduce some risks. They do not remove them. Start with an amount you can afford to lose, and keep watching it.

FAQ

Frequently Asked Questions

What does open source mean for a trading bot?

The code is public and you may read, run and often change it. It lets you see the rules, but it does not prove the code is safe, correct or kept up to date.

Is an open source bot safer than a closed one?

Not automatically. Anyone can read the code, but no one is required to. You still need to check the source, the key use and the trading rule.

Which API key permissions should a bot have?

Usually reading balances and placing orders. Turn withdrawals off, and restrict the key to your IP address where the exchange offers it. Options vary by exchange.

Why test on paper or a demo first?

To see what the bot does without risking money. Paper fills are better than real ones, so treat the result as an upper limit, not a forecast.

Is a free bot really free?

The code may cost nothing, but you pay in your time, the fees on every trade, slippage and the risk of the rules it follows.

Are the numbers on this page real?

Example numbers are made up to show how the maths works, and the page says so. A figure only counts as exact when the page says it was calculated on a stated date. Nothing you enter in a calculator leaves your browser.

Can I use this to decide whether to run a bot?

It can show whether a bot's numbers hold together and how much an account can lose. It cannot say what the market will do, and it is not advice. Use it to ask better questions, then read the terms of your own broker or exchange.

Is this financial advice?

No. It is general education about checking software. The numbers are made up and your exchange, fees and risk are your own.

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