How much money can you make day trading breakouts? Most traders pick a number first ($100, $500, $1,000 a day) and then go looking for a strategy that hits it. I'd rather start from the other end: measure how much the market actually moves, then work out what share of that movement a trader can realistically capture. In this walkthrough I'll do exactly that on the E-mini NASDAQ, using the Period Estimates feature inside Breakout Radar.
Of course, there's no guarantee of profit in trading, and every dollar figure below is a hypothetical estimate. But the math gives you a far more honest target than a number pulled out of the air.
How to Estimate Day Trading Income From Market Movement
The answer starts with the market. Crypto, futures, E-minis, micros, stocks and forex all move differently, and each one gives you a different estimate. So for this example I'm using one market: the E-mini NASDAQ (NQ) on a 60-minute chart. It's one of the most popular breakout markets, a lot of traders do well with it, and at the time of recording Breakout Radar rated it among the strongest markets for long-side trading across pre-market, the main session, after-market and swing trades.
Breakout Radar's main job is recommending which markets are best for breakout trading right now (here's how that works). But it also has a feature called Period Estimates and Actual Swings. It takes your timeframe, maps the trajectory of every day from swing to swing, and estimates how much movement was available in the main swings. Picture price moving up, turning, and moving down again. If you caught every one of those moves, long and short, what would it be worth?
It shows average daily and monthly figures over three windows: the last three years, the last year and the last six months. The numbers change between windows because volatility changes. We were in a volatile stretch when I recorded the video, so the six-month figures came out highest.
Period Estimates measure available market movement. They don't represent executed trades or a backtested strategy, so treat every figure in this article as a reference point.
The Impossible Ceiling: Capturing 100% of the Swings
Let's start with a number that's completely unrealistic, just out of curiosity. Imagine you knew every next move in advance. You'd buy every meaningful low, sell every meaningful high, flip short at the perfect moment and never make a mistake.
With one E-mini NASDAQ contract, capturing 100% of the main swings (not even the sub-swings) over the last six months would have averaged about $10,942 a day, or roughly $224,000 a month.
Let's dream on. That isn't going to happen. Nobody trades like that, and breakout strategies aren't designed to catch every swing anyway. The number is useful for one thing: it shows the size of the pie before we work out what slice is realistic.
Here's the full set of estimates for one NQ contract on the 60-minute chart:
| Movement captured | Last 3 years (day / month) | Last 1 year (day / month) | Last 6 months (day / month) |
|---|---|---|---|
| 100% (impossible ideal) | $8,057 / $166,120 | $9,285 / $189,655 | $10,942 / $224,122 |
| 25% (if every trade won) | $2,014 / $41,530 | $2,321 / $47,414 | $2,736 / $56,031 |
| 10% (discretionary model) | $806 / $16,612 | $928 / $18,966 | $1,094 / $22,412 |
| 5% (algorithmic model) | $403 / $8,306 | $464 / $9,483 | $547 / $11,206 |
All figures are hypothetical, movement-based estimates for one contract, before commissions and slippage. They aren't trading results and they don't predict future returns.
What a Good Discretionary Trader Realistically Captures
Here's where most traders get surprised. Day traders don't aim for anywhere near all the swings. It's hard to pin down exactly, but from over 25 years of trading, including running hedge funds, I can give you a reliable estimate: a discretionary trader who sits in front of the screen all day usually aims for about a quarter of the movements.
If they aimed for 25% and were right every single time, that would be about $2,700 a day and $56,000 a month on one contract over the six-month window. But "right every single time" is doing all the work in that sentence.
Accounting for losing trades
Trading has winners and losers. With proper risk management, your average winning trade is bigger than your average loser, and that has to go into the estimate too. Realistically, for a good discretionary trader who knows their edge, maybe 15 percentage points of that 25% end up as winners, and the rest are losers that eat into them.
Net that out and you get roughly 10% efficiency: covering about 10% of the day's movement after losses. That's really good. On one contract it works out to about $1,094 a day and $22,412 a month over the last six months (call it $1,000 and $22,000).
I know 10% might sound low. That's the reality. A lot of traders, especially beginners, have illusions about what trading looks like. They go in blindfolded.
Losing months still happen
Even at 10%, an average is just an average. Plenty of individual days and months lose money. A good discretionary trader can still go through bigger drawdowns and a volatile equity curve. Some trade 10 or 20 contracts, which multiplies the dollar figures, and multiplies the risk by exactly the same amount. Nobody can promise a trader will hit these numbers. They're a realistic approximation of what good looks like, nothing more.
Can an Automated Breakout Strategy Make $500 a Day?
Now, what if you want to be an algorithmic breakout trader and let the computer do the trading for you? That's what I'd recommend. The rule of thumb is that you aim for about half the efficiency of a discretionary trader.
Algorithms miss the built-in feel for the market that a discretionary trader develops over years. In exchange, they trade automatically, and you don't need to sit in front of the screen. Everything in trading is a trade-off.
Half of 10% is 5%. On one E-mini NASDAQ contract over the last six months, 5% of the main swings is about $547 a day, or $11,206 a month. Call it $500 a day and $10,000 to $11,000 a month on average.
The realistic target
Roughly 5% of the main swings, with one contract and a robust strategy. On NQ 60-minute over the last six months, that's about $547 a day on average. Over three years it's about $403. It's a hypothetical estimate, and there's no guarantee any strategy will achieve it.
There's an important condition attached. That target assumes you have a meaningful, robust breakout strategy and you know what you're doing. A random strategy won't get you there, and the figure isn't a promised income level. You'd still need to prove the edge with proper testing first (these are the five robustness tests I use). Notice too that the three-year and one-year windows are lower. Quieter markets mean less movement to capture, so the period you measure matters.
Why Breakout Traders Only Need the Middle of the Move
What does 5% look like on a chart? Much less than you'd think. On a typical day in the example, catching part of one up move and part of one down move gets you to roughly the $500 average. That's one hourly bar on the long side and one on the short side, taken somewhere in the middle of each move.
That's also how breakout trading works. A breakout strategy waits until something meaningful breaks and momentum shows up. You usually don't catch the start of the move. You catch the wave after the momentum kicks in, and if your exit is good, you ride it as far as it goes.
So you don't need anything spectacular. You need sensible, robust breakout entries (here's how to build one without guessing) and good exits. Discretionary day traders might catch three swings instead of two, get in a little sooner and get out a little later. That's where their extra efficiency comes from.
And again, a lot of days will be losing days. The averages only hold up over time, and only if the strategy's edge is real.
Trading Micro NASDAQ Instead: Divide by 10
If your account isn't big enough for the E-mini NASDAQ, the Micro NASDAQ (MNQ) is one tenth of the size. Take any number in this article and divide it by 10. For the last six months:
- 100% ceiling: about $1,094 a day
- Discretionary (10%): about $109 a day
- Algorithmic (5%): about $55 a day
Smaller contracts shrink the dollar risk along with the dollar estimate. They don't make a strategy better or worse, and they're a sensible way to start while you build confidence in your strategies.
How to Use These Numbers Without Fooling Yourself
Use this as a way of thinking, step by step:
- Pick the market and timeframe. Every market gives a different estimate.
- Measure the main swing movement. Use a clear window: three years, one year or six months.
- Throw out the 100% figure as a goal. It's there to show the size of the pie.
- Pick a realistic capture rate. Around 10% for a strong discretionary trader, around 5% for a robust algo.
- Account for risk. Losing days, losing months, drawdowns, costs, slippage and the capital you'd need.
- Prove it with testing. Build the strategy and validate it out-of-sample and across related markets before you trust any target.
A few distinctions are worth keeping straight. Movement capture is a different measure from win rate. A movement estimate is a different thing from a backtest. And an average daily figure tells you nothing about how much capital or drawdown tolerance you'd need to get there.
If you already trade on TradingView, Python, AmiBroker, MetaTrader, NinjaTrader, MultiCharts or TradeStation, BreakoutOS builds each strategy together with the code for your platform. You copy and paste it in and run it where you already trade.
Risk note: Futures trading involves substantial risk and can lead to losses greater than your initial investment. All dollar figures in this article are hypothetical, movement-based estimates for one contract. They aren't actual trading results, and there's no guarantee of future profits. Commissions, slippage, liquidity and execution all affect real outcomes.
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About the Author
Tomas Nesnidal, known to the systematic trading community as Mr. Breakouts, is a breakout trading specialist, hedge fund co-founder, and creator of BreakoutOS. He has managed institutional portfolios using breakout strategies for over 15 years, trading from 65+ countries. He is the author of The Breakout Trading Revolution and co-founder of Breakout Trading Academy.