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Do AI Trading Bots Actually Work? The First Week, Month and Year

Jay Sharma
Jay Sharma · Founder, Botsfolio
Published October 19, 2026
In short

Some do, most of the ones sold online don't, and none can be judged in a week. We tested Botsfolio's BTC & ETH Cycle Trader from 94 monthly start dates since January 2018. After one week it was above its starting money 57% of the time, about the same as simply holding BTC and ETH (56%). After one month: 54%, a coin flip. After a year, 83% of starts were up against 63% for holding, and after two years every start was up. Its worst year lost 45%; holding's worst year lost 77%. In 2026 so far it is up about 24% while holding is down about 14%. These are backtests and a paper trading record on live prices, not promises.

"Do AI trading bots work?" is the most common question people ask before they let one near their money. In Google's suggestions alone it shows up in hundreds of forms. Most answers come from companies selling a bot, and they show a good month or a backtest with no bad days in it.

The honest answer depends on when you look. So instead of one number, here is how often an AI portfolio was up after a week, a month, three months, a year and two years, from 94 different starting dates, with every bad start left in.

The short answer

Yes, an AI can trade crypto profitably, but not every week or every month, and most bots sold online have no record that would show it either way. In our test, the AI was up about half the time after a week or a month, which is no better than holding. The difference showed up over a year or more, and mostly in how much less it lost in bad years.

Two things decide whether a bot "works" for you:

  • The time you give it. One week or one month tells you almost nothing about any trading system, good or bad.
  • What you compare it with. Making money in a rising market proves little. The test is whether it did better than simply holding the same coins, after fees, including the worst stretch.

How often the AI was up: week 1 to year 2

For every monthly start from January 2018 to October 2025, we measured where Botsfolio's BTC & ETH Cycle Trader stood after each stretch of time, next to holding BTC and ETH with the same money:

Share of start dates above the starting money
94 monthly starts since January 2018. Two-year figures use the 82 starts with two full years of data.
AfterBotsfolio AI, Cycle TraderHolding BTC and ETH
1 week
57%56%
1 month
54%54%
3 months
64%56%
6 months
72%63%
1 year
83%63%
2 years
100%70%
Backtest on past Coinbase prices with a 0.10% fee on every trade. Same start dates and method as the backtest card on each Botsfolio AI portfolio.

In the first month, the AI and holding were up equally often. From three months on, the AI was up more often, and the gap grew with time. Not one of the 82 two-year windows ended below its starting money. Holding finished below it in 30% of them.

The typical result, and the worst

How often a portfolio is up is half the story. The other half is how far it can fall:

Typical and worst result after each stretch
Median and worst of the same 94 start dates.
AfterAI typicalAI worstHolding typicalHolding worst
1 week
+0.4%-18%+1.0%-24%
1 month
+1.4%-29%+4.1%-45%
3 months
+8.4%-41%+6.4%-64%
6 months
+15.1%-53%+12.2%-66%
1 year
+33.9%-45%+30.7%-77%
2 years
+102%+3.3%+112%-65%
Backtest on past Coinbase prices with a 0.10% fee on every trade. The worst results come from starts just before the 2018 and 2022 crashes.

The typical results are close: over one or two years, holding and the AI made similar amounts at the median. Over any single year, the AI finished ahead of holding in 57% of starts. Where it differed was the bad starts. Its worst year lost 45%; holding's worst year lost 77%. After two years, its worst start was still up 3.3% while holding's worst was down 65%.

That pattern is what a working AI portfolio looks like: not a winner every month, but smaller losses when the market falls, which adds up over time. Held from each start to October 2026, it finished ahead of holding from all 94, partly because the test ends in a falling year for both coins.

The AI from this test is trading right now, with every move in public. Watch the BTC & ETH Cycle Trader

Why the first month tells you almost nothing

If you start an AI portfolio and it is red after a week, that is normal. In our test, 43% of starts were below their starting money after one week, and 46% after one month. The same was true for holding.

Short stretches are mostly noise. A week of crypto prices can swing 20% either way, and no trading rule can control that. What a rule can control is what happens across many weeks: how much it keeps when prices rise and how much it gives back when they fall.

A fair test of any AI trading bot takes six to twelve months, ideally including a falling market. That is also why paper trading first makes sense: you can watch the record build on live prices without any money at risk. Our guide on how long to paper trade covers what to look for, and paper trading vs real money covers the switch.

What lower risk changes

Botsfolio AI can also be told to keep falls small. That version runs as the BTC & ETH Steady Trader. Tested the same way:

Botsfolio AI, keeping falls small (Steady Trader)
Same 94 monthly start dates since January 2018.
AfterShare of starts upWorst resultHolding worst
1 week
41%-6.2%-24%
1 month
47%-5.8%-45%
3 months
57%-5.7%-64%
6 months
67%-5.3%-66%
1 year
81%-4.9%-77%
2 years
98%-3.4%-65%
Backtest on past Coinbase prices with a 0.10% fee on every trade. Its typical one-year result was +10.9%, against +30.7% for holding.

At none of these checkpoints was it down more than about 6%, but it also made much less: a typical +10.9% after a year. A small-loss AI suits people who mainly want to stop losing. It doesn't suit people who want the most growth.

What it looks like live in 2026

Backtests show the range. The forward record on live prices shows what is happening now:

All 7 portfolios are ahead of holding the same coins, and every one fell less than holding did at its worst.

PortfolioReturnBiggest drop
BTC & ETH Cycle Trader
BTC · ETH
+23.8%
hold -13.9%
8.7%
hold 46.5%
BTC & ETH Trend Rider
BTC · ETH
+3.7%
hold -13.9%
6.4%
hold 46.5%
BTC & ETH Steady Trader
BTC · ETH
+2.5%
hold -13.9%
3.3%
hold 46.5%
Bitcoin Cycle Trader
BTC
+3.3%
hold -7.9%
4.9%
hold 39.6%
Crypto Cycle Trader
BTC · ETH · ZEC · XRP · SOL
+27.1%
hold +8.7%
13.1%
hold 45.5%
Altcoin Trend Rider
ZEC · XRP · SOL · XLM · NEAR
+31.0%
hold +12.8%
13.9%
hold 50.2%
Memecoin Trend Rider
DOGE · FARTCOIN · PENGU · PEPE · BONK
-6.3%
hold -38.1%
10.5%
hold 63.2%
Botsfolio AI paper trades each portfolio on live prices from Jan 1, 2026, with a 0.10% fee on every trade. "Hold" is the same money kept in the same coins with no trading. Biggest drop is the largest fall from a high in daily value. Updated daily, last close Oct 19, 2026. How the portfolios are tested.

2026 has been a falling year for Bitcoin and Ethereum. As of October 19, 2026, the Cycle Trader is up about 24% for the year while holding the same coins is down about 14%, and its biggest drop was under 9% against about 47% for holding. In a fast rally, holding usually climbs faster. The month by month story is in buy and hold vs an AI-managed crypto portfolio.

Do bots beat people?

On Hyperliquid, a crypto exchange where every trade is public, we sorted 1,844 accounts that had traded at least $50,000 into humans, bots and accounts we couldn't classify, by how they traded. 42.9% of the bot accounts made money over their active period, against 31.4% of the 1,076 human traders. Bots did better, but most of them still lost, and 40% of them lost 90% or more of their largest balance at some point. Automation alone doesn't make a strategy work.

We also gave Botsfolio AI the same money and dates as each of the 1,076 human traders. Tested on their exact dates with spot coins and no leverage, it made money in 88.6% of the windows. The traders used real money, mostly with leverage. The full comparison is in AI vs 1,076 human traders, and the trader side on its own is in how many crypto traders are profitable.

Why most bots sold online don't work

The bot is rarely the problem. The record behind it is:

  • Promises instead of a record. The US CFTC lists guaranteed or very high returns as the first warning sign of an AI trading scam. A real record shows losing months.
  • Backtests that peeked or skipped fees. A strategy tuned on the past, tested without fees, or one that used tomorrow's prices looks great until it trades live. We explain the five common causes in why trading bots fail live.
  • A chatbot picking trades. In nof1's Alpha Arena, six AI models traded $10,000 of real money each and four of the six lost money. Our own test of a frontier model picking trades found no skill. Details in can ChatGPT trade crypto.
  • Fees nobody counted. The same AI portfolio made 33.6% a year at a 0.10% fee and 17.1% at 0.90%. See how exchange fees change the result.

For the scam side, our guide to whether AI trading bots are legit covers the red flags.

How to tell if an AI trading bot works

Five checks before you trust a trading bot's results
  • A forward record on live prices. Not just a backtest. Months or years of trades you can check, including the losing ones.
  • A comparison with holding the same coins. If it can't beat holding over a year or two, it isn't adding much.
  • The worst drop, in plain numbers. The biggest fall from a high decides whether you can stay with it. A record without it is hiding something.
  • Fees included. At your exchange's real fee, not a made-up one.
  • Many start dates, not one lucky one. A single start can look brilliant or terrible by chance.

Every Botsfolio AI portfolio shows these on its page: the live record next to holding, the biggest drop, and a backtest from every monthly start since 2018. Our guides to drawdown and the buy and hold comparison explain how to read them, and the portfolio methodology explains how they are tested.

How to try it without risk

Method and limits

How these numbers were made

Every monthly start date from January 2018 to October 2025, measured after 7, 30, 91, 182, 365 and 730 days (82 starts have two full years). Botsfolio AI's BTC & ETH Cycle Trader and Steady Trader are tested on past Coinbase daily prices with a 0.10% fee on every trade, using the same start dates and method as the backtest card on each portfolio page. Holding means buying BTC and ETH with equal money on the start date and doing nothing else. These are backtests, not live results, and the 2018 to 2026 period may not look like the next one. The 2026 table is a paper trading record on live prices. None of it predicts future results.

FAQ

Some do over longer periods, and most sold online have no record to prove it. Tested from 94 start dates since 2018, Botsfolio's BTC & ETH Cycle Trader was up after one year in 83% of starts and after two years in all of them, but after one week or one month it was up only about half the time, the same as holding BTC and ETH.

Watch Botsfolio AI trade live

Botsfolio AI paper trades on the live market, and every entry, stop and exit is public.

How to read these numbers: the buy and hold comparison, biggest drop, and how the portfolios are tested.

See everything Botsfolio AI trades live

Paper trading on real prices. Not investment advice.

Educational analysis, not financial advice. Backtests are tests on past prices and paper trading results are simulated. Trader data comes from Hyperliquid's public data. Trading crypto can lose money. Past performance does not predict future results.

Ask the Analyst about Do AI Trading Bots Actually Work? The First Week, Month and Year