Sam's Trading PlanA trading plan is a written document that defines your strategy, the specific setups you trade, entry and exit rules, risk management parameters, daily loss limits, market conditions required to trade, and psychological rules — it's the difRead definition → v1 was finished except for one line (Lesson 74: Building Your First Trading Plan). Section 2 said "buy stocks breaking out or pulling back to levels," and that wasn't a strategy. It was a direction.
On Saturday morning he searched for beginner strategies and found what most beginners find: dozens of names, each promising to be the one. Gap and GoA momentum strategy where a trader enters a stock that gapped up (or down) at the open and continues moving in the direction of the gap — rather than filling it. The trader bets that the catalyst driving the gap is strong enough to sustain Read definition →. Bull flags. VWAPVWAP (Volume Weighted Average Price) is the average price a security has traded at throughout the session, weighted by volume — it's the most important intraday indicator for day traders, serving as a real-time measure of fair value and theRead definition → bounce. ORB. Red to green.
He made coffee, opened a blank page and drew five columns.
In 30 seconds
- A day trading strategy is a specific, repeatable set of rules for which stocks to trade, when to enter, where to place the stop and where to take profit.
- Five approaches suit most beginners: breakouts, pullbacks, momentum, VWAP trades and the Opening Range BreakoutAn Opening Range Breakout (ORB) is a trading strategy that defines the high and low of the first N minutes of the session (commonly 5, 15, or 30 minutes) as the 'opening range,' then enters in the direction of whichever boundary breaks firsRead definition → (ORB).
- Each works best in particular conditions and fails in predictable ways, so no single strategy is "best"; the right first choice fits your hours, your pace and your stocks.
- Learn one or two at a time, write them as exact rules, and test them over enough trades before trusting them with real money.
In this lesson you'll learn what a day trading strategy is, how the five main beginner approaches work (with a numbered example of each), what each one needs to win, how to choose your first one and how to test it. The three most common get their own full lessons next. If you're new, start with Lesson 1: What Is Day Trading?
What is a day trading strategy?
A day trading strategy is a written set of rules that defines which stocks you'll trade, the exact condition for entering, where your stop goes, where you'll take profit and when you'll skip the trade.
Think of strategies as different routes to the same city. A motorway is fast but crowded, back roads are slower but quieter, and the right route depends on the time of day, your car and how you like to drive. None is "the best route" in every situation. Each one is best under certain conditions.
What separates a strategy from an idea is precision. "Buy breakouts" is an idea. "Buy when a 5-minute candle closes above a level that has capped the stock at least twice, on above-average VolumeVolume is the total number of shares (or contracts) traded during a given time period — it's the primary confirmation tool for all price action, because a price move accompanied by high volume indicates genuine market participation, while tRead definition →, with a stop below the breakout candle" is a strategy. Two traders given the idea will take different trades. Two traders given the strategy will take the same one.
A complete strategy answers five questions, and you can use them as a test for anything you read online:
- Selection: Which stocks qualify, and at what time of day?
- Trigger: What exact event makes you enter?
- Stop: Where is the idea proven wrong?
- Target: Where do you take profit?
- Skip rule: When do you pass, even though it looks tempting?
If a video can't answer all five, you've watched a story, not a strategy.
What are the best day trading strategies for beginners?
The five day trading strategies most suited to beginners are breakouts, pullbacks, momentum, VWAP trades and the opening range breakout, because each has clear rules, uses tools you already know and has an obvious place for a stop.
- Strategy
- Breakout
- The idea
- Buy when price clears a level that has capped it
- Pace
- Wait, then act fast
- Works best when
- Price is pressing a level on rising volume
- Fails when
- The market is range-bound and breaks fade back
- Strategy
- Pullback
- The idea
- Buy a dip in an uptrend at support or a moving average
- Pace
- Moderate
- Works best when
- A clear trend is in place
- Fails when
- The "dip" is the start of a reversal
- Strategy
- Momentum
- The idea
- Join a strong move driven by news and heavy volume
- Pace
- Fast
- Works best when
- A real catalyst and strong relative volume
- Fails when
- You enter late, after the move is mostly done
- Strategy
- VWAP
- The idea
- Trade price's reaction at the volume-weighted average
- Pace
- Moderate to slow
- Works best when
- The stock respects VWAP as support or resistance
- Fails when
- VWAP is flat and price chops through it
- Strategy
- Opening range breakout
- The idea
- Trade the break of the first 5, 15 or 30 minutes' range
- Pace
- Time-boxed
- Works best when
- A catalyst day with a clean early range
- Fails when
- The day turns choppy after the open
| Strategy | The idea | Pace | Works best when | Fails when |
|---|---|---|---|---|
| Breakout | Buy when price clears a level that has capped it | Wait, then act fast | Price is pressing a level on rising volume | The market is range-bound and breaks fade back |
| Pullback | Buy a dip in an uptrend at support or a moving average | Moderate | A clear trend is in place | The "dip" is the start of a reversal |
| Momentum | Join a strong move driven by news and heavy volume | Fast | A real catalyst and strong relative volume | You enter late, after the move is mostly done |
| VWAP | Trade price's reaction at the volume-weighted average | Moderate to slow | The stock respects VWAP as support or resistance | VWAP is flat and price chops through it |
| Opening range breakout | Trade the break of the first 5, 15 or 30 minutes' range | Time-boxed | A catalyst day with a clean early range | The day turns choppy after the open |
Pick one, and build pattern recognition before adding another.
All five are built from pieces you already know: levels, volume, candles and VWAP (Lesson 27: VWAP Explained). What differs is the trigger and the pace. The next five sections show each one with a numbered example. The prices are made up and illustrative, and the entry, stop and target numbers are starting values for you to test, not laws.
How does a breakout strategy work?
A breakout strategy buys when price moves decisively above a level that has repeatedly stopped it, betting that the buyers who pushed it through will keep pushing.
Picture a stock, ABCD, that has spent 45 minutes bouncing between $19.40 and $20.00. Every push to $20.00 meets sellers. The longer and tighter that range, the more orders are stacked on either side of it, and the more fuel is released when it finally goes.
Starting rules to test:
- Selection: a stock with a level that has turned price back at least twice, in the first two hours of the session.
- Trigger: a 5-minute candle closes above the level on volume at least 1.5 times the average of the previous ten candles. Not a wick through it. A close.
- Stop: below the low of the breakout candle (or back under the level).
- Target: the next resistance, or at least twice your risk.
- Skip rule: if the breakout candle is bigger than the whole range it just broke, the move has already happened. Pass.
The numbers: ABCD closes a 5-minute candle at $20.10 on 2.4 times normal volume. Entry $20.10, stop $19.78 under the candle's low, target $20.90 at the prior day's high. You risk $0.32 per share to make $0.80, a reward of 2.5 times the risk.
When it fails: the false breakout. Price clears the level, triggers every buyer watching it, then falls straight back inside the range. Breakouts fail most on days when the market is going nowhere, which is why Lesson 79: Trend vs Range matters. The full rule set, and a five-trade test of it, is in Lesson 76: Breakout Basics.
How does a pullback strategy work?
A pullback strategy waits for a stock that's already trending up to dip back toward a support area, such as VWAP or a rising moving average, and buys when the dip shows signs of ending.
You've seen this in everyday life. When a bus is full and moving, you don't chase it down the road. You wait at the next stop. A pullback trader lets the stock come to them.
Starting rules to test:
- Selection: a stock that has already made a clear first leg up, trading above VWAP.
- Trigger: the dip retraces no more than about half of the first leg, on lighter volume than the rally, and then a green candle closes back above the previous candle's high at the 9 or 20 EMA.
- Stop: below the low of the pullback.
- Target: just below the prior high, not at it. The prior high is where sellers last appeared, so take your money before they do.
- Skip rule: if the pullback is deeper than half the leg, or the dip comes on heavier volume than the rally, it may be a reversal. Pass.
The numbers: EFGH rallies from $30.00 to $33.00, then drifts back on light volume to $31.50, which is exactly half the leg, right at its 9 EMA. A green candle forms. Entry $31.60, stop $31.20 under the pullback low, target $32.80. You risk $0.40 to make $1.20, three times the risk.
When it fails: a stock making lower highs isn't dipping, it's turning. Many "pullbacks" are the first leg of a reversal, and the stop is what keeps that mistake small. Lesson 77: Pullback Basics shows how to tell them apart.
How does a momentum strategy work?
A momentum strategy trades stocks that are already moving fast on news and heavy volume, aiming to capture part of the continuation while the buying pressure lasts.
There is real evidence that early moves can carry on within a day. Gao, Han, Li and Zhou found that the S&P 500 ETF's return in the first half-hour helped predict its return in the last half-hour, and more strongly on volatile, high-volume and news days. That's a statement about an index over many years, not a promise about any single stock on any single morning. But it explains why momentum traders concentrate on the first 60 to 90 minutes, when volume and catalysts are at their peak.
Starting rules to test:
- Selection: a stock up at least several percent on a real catalyst, with relative volume of at least 2 (Lesson 40: Relative Volume), traded in the first 90 minutes.
- Trigger: don't buy the first spike. Wait for a shallow pullback that holds, then enter when price breaks back above the pullback's high.
- Stop: below the pullback low.
- Target: the next level where the stock stalled before, with a plan to sell part early.
- Skip rule: if you'd be entering more than a few minutes after the first burst of volume, or the stock has already doubled, pass.
The numbers: JKLM gaps up 8% on earnings and runs to $25.00. It pulls back to $24.50 on lighter volume, and the candle breaks back through $25.00. Entry $25.05, stop $24.40 under the pullback low, target $26.00 where it stalled a week ago. You risk $0.65 to make $0.95, only 1.5 times the risk.
When it fails: momentum is the strategy closest to chasing. Entries are late by nature, spreads are wide, and the stop has to be wider because volatility is high. Notice that the arithmetic is the weakest of the five, which the next section explains. Lesson 78: Momentum Basics covers how to trade it without becoming FOMO.
How does a VWAP strategy work?
A VWAP strategy uses the volume-weighted average price as a line that price often reacts to, buying bounces off a rising VWAP and avoiding long trades in stocks stuck below it.
VWAP is the average price of every share traded since the open, weighted by volume. Think of it as the day's "fair price" as the crowd has actually paid it. Above it, the average buyer today is in profit. Below it, they aren't.
One detail most guides skip: VWAP is unreliable early. At 9:35 it's the average of five minutes of trades, so a few big candles drag it around. By 10:30 it has absorbed an hour of volume and moves far more slowly, which is why many VWAP traders wait until the first 30 to 45 minutes have passed.
Starting rules to test:
- Selection: a stock with average volume of at least 500,000 shares that has held above a rising VWAP for most of the session.
- Trigger: price pulls back to touch VWAP, then a green candle closes back above it.
- Stop: 15 to 20 cents below VWAP, or below the bounce candle's low.
- Target: the morning high.
- Skip rule: if VWAP is flat and price has crossed it three or more times, the line isn't doing any work. Pass.
The numbers: NPQR gapped up 5% and ran for the first hour. At 10:35 it drifts back to VWAP at $41.60 on lighter volume. A green candle closes at $41.75. Entry $41.75, stop $41.40, target $42.60, the morning high. You risk $0.35 to make $0.85, about 2.4 times the risk.
When it fails: thin stocks (VWAP is built from too few trades), flat days (price chops through the line in both directions) and huge gaps where price never returns to VWAP at all.
How does the opening range breakout work?
The opening range breakout (ORB) marks the high and low of the first 5, 15 or 30 minutes of the session and trades a decisive break of either, on the idea that the side that wins the opening fight sets the tone for the morning.
Starting rules to test (15-minute version):
- Selection: a stock with a real catalyst or heavy pre-market activity, and high relative volume at the open.
- Trigger: after 9:45, a 5-minute candle closes above the range high.
- Stop: the middle of the range (or the range low for a wider, safer stop).
- Target: the height of the range added to the breakout point.
- Skip rule: if the range is so narrow that the stop is only a few cents, costs will eat the trade. Pass.
The numbers: STUV trades between $44.80 and $45.50 from 9:30 to 9:45, a range of $0.70. At 9:50 a candle closes above $45.50. Entry $45.55, stop $45.15 (the middle of the range), target $46.20 (the high plus the $0.70 range height). You risk $0.40 to make $0.65, about 1.6 times the risk.
Does ORB have evidence behind it? One recent paper says yes, with heavy conditions. Zarattini, Barbon and Aziz tested a 5-minute opening range breakout on US stocks from 2016 to 2023, trading only the 20 stocks each day with the highest relative volume at the open (priced above $5, with at least 1 million average daily volume), and reported net performance of over 1,600% against 198% for the S&P 500, with a Sharpe ratio of 2.81. Treat that cautiously. It's a working paper, not a peer-reviewed study. It uses up to 4 times leverage, and the costs summarized from it are per-share commissions, while a beginner at a fast open also pays the spread and slippage. It's an idea worth testing on paper, not a promise.
Why ORB waits. On August 24, 2015, the SEC's staff research note counted 1,278 limit up-limit down (LULD) halts across 471 securities, with 87% of the halts in the first 45 minutes, and the S&P 500 ETF (SPY) opened 5.2% below its previous close. Not every open looks like that, but it's why the strategy is designed to let the first minutes pass before risking anything. For the 5, 15 and 30-minute variants, see our opening range breakout guide.
What does each setup need to win?
Every setup needs a minimum win rate just to break even, and that rate depends only on how far your target is from your entry compared with your stop.
The break-even win rate before costs is risk divided by (risk plus reward). Here are the five examples above side by side:
- Setup (illustrative)
- Breakout (ABCD)
- Entry
- $20.10
- Stop
- $19.78
- Target
- $20.90
- Risk
- $0.32
- Reward
- $0.80
- Reward to risk
- 2.5 to 1
- Win rate needed to break even
- 28.6%
- Setup (illustrative)
- Pullback (EFGH)
- Entry
- $31.60
- Stop
- $31.20
- Target
- $32.80
- Risk
- $0.40
- Reward
- $1.20
- Reward to risk
- 3.0 to 1
- Win rate needed to break even
- 25.0%
- Setup (illustrative)
- Momentum (JKLM)
- Entry
- $25.05
- Stop
- $24.40
- Target
- $26.00
- Risk
- $0.65
- Reward
- $0.95
- Reward to risk
- 1.5 to 1
- Win rate needed to break even
- 40.6%
- Setup (illustrative)
- VWAP (NPQR)
- Entry
- $41.75
- Stop
- $41.40
- Target
- $42.60
- Risk
- $0.35
- Reward
- $0.85
- Reward to risk
- 2.4 to 1
- Win rate needed to break even
- 29.2%
- Setup (illustrative)
- ORB (STUV)
- Entry
- $45.55
- Stop
- $45.15
- Target
- $46.20
- Risk
- $0.40
- Reward
- $0.65
- Reward to risk
- 1.6 to 1
- Win rate needed to break even
- 38.1%
| Setup (illustrative) | Entry | Stop | Target | Risk | Reward | Reward to risk | Win rate needed to break even |
|---|---|---|---|---|---|---|---|
| Breakout (ABCD) | $20.10 | $19.78 | $20.90 | $0.32 | $0.80 | 2.5 to 1 | 28.6% |
| Pullback (EFGH) | $31.60 | $31.20 | $32.80 | $0.40 | $1.20 | 3.0 to 1 | 25.0% |
| Momentum (JKLM) | $25.05 | $24.40 | $26.00 | $0.65 | $0.95 | 1.5 to 1 | 40.6% |
| VWAP (NPQR) | $41.75 | $41.40 | $42.60 | $0.35 | $0.85 | 2.4 to 1 | 29.2% |
| ORB (STUV) | $45.55 | $45.15 | $46.20 | $0.40 | $0.65 | 1.6 to 1 | 38.1% |
DayTradingToolkit illustration using the example prices above. Before commissions, spread and slippage.
Two lessons hide in that table. First, the setups with tight stops and distant targets need a low win rate, but distant targets are hit less often, so a low break-even rate is a floor, not a forecast. Second, momentum and ORB need you to be right about four trades in ten before you've paid a cent in costs, which is why they're harder for a beginner than they look. Lesson 52: Position Sizing turns these numbers into share counts.
Which day trading strategy should a beginner start with?
Start with the one or two strategies that fit your trading hours, your pace and the stocks you watch, and learn them one at a time before adding anything else.
Score yourself on five questions before you look at any chart:
- When can you trade? If you can't be at the screen at 9:30, opening range strategies are out.
- How fast do you decide well? If fast markets make you impulsive or make you freeze, start with pullbacks or VWAP rather than momentum.
- Can you enter before the move is confirmed? Momentum and early ORB entries don't wait for much. Breakouts and pullbacks wait for a trigger.
- Can you watch a stock for 40 minutes and do nothing? Breakouts and pullbacks mean long waits followed by short bursts.
- What market are you usually in? Trend strategies struggle in choppy markets. Lesson 79 shows how to tell.
- Strategy
- Pullback
- Pace
- Moderate
- Patience needed
- High
- Main risk
- Buying a reversal
- Often a good first strategy for...
- People who hate chasing
- Strategy
- VWAP
- Pace
- Moderate to slow
- Patience needed
- Medium
- Main risk
- Trading a line that isn't working
- Often a good first strategy for...
- People who want one objective level
- Strategy
- Breakout
- Pace
- Wait, then fast
- Patience needed
- High
- Main risk
- False breakouts
- Often a good first strategy for...
- People who can wait, then act
- Strategy
- ORB
- Pace
- Time-boxed
- Patience needed
- Medium
- Main risk
- Opening chaos, narrow ranges
- Often a good first strategy for...
- People with fixed morning hours
- Strategy
- Momentum
- Pace
- Fast
- Patience needed
- Low
- Main risk
- Late entries, wide spreads
- Often a good first strategy for...
- Usually later, not first
| Strategy | Pace | Patience needed | Main risk | Often a good first strategy for... |
|---|---|---|---|---|
| Pullback | Moderate | High | Buying a reversal | People who hate chasing |
| VWAP | Moderate to slow | Medium | Trading a line that isn't working | People who want one objective level |
| Breakout | Wait, then fast | High | False breakouts | People who can wait, then act |
| ORB | Time-boxed | Medium | Opening chaos, narrow ranges | People with fixed morning hours |
| Momentum | Fast | Low | Late entries, wide spreads | Usually later, not first |
This guide's suggestion for most beginners is to start with a pullback or VWAP approach: both give you time to think and a level to hold you to. That's a starting point, not a rule. Your hours and your temperament decide.
Why should you learn one strategy at a time?
You should learn one strategy at a time because skill comes from many repetitions of the same decision, and because you can't tell whether a strategy works until you've traded it far more often than feels reasonable.
Psychologist Anders Ericsson's research on expert performance found that skill grows through deliberate practice: repeating a well-defined task, with feedback, over and over. A trader who splits attention across five setups gets one-fifth of the repetitions at each, and one-fifth of the feedback.
The sample-size problem is worse than most beginners expect. In a DayTradingToolkit simulation of 10,000 hypothetical traders (fixed seed, every trade risking 1R, winners paying 2R and losers losing 1R), it compared a strategy with a real edge of +0.20R per trade (a 40% win rate) with one that has no edge at all (a 33.3% win rate).
- Number of trades
- 30
- Real +0.20R edge, but sample average is negative
- 17.7%
- No edge, but sample average looks like +0.20R or better
- 27.7%
- Number of trades
- 50
- Real +0.20R edge, but sample average is negative
- 15.5%
- No edge, but sample average looks like +0.20R or better
- 19.6%
- Number of trades
- 100
- Real +0.20R edge, but sample average is negative
- 8.8%
- No edge, but sample average looks like +0.20R or better
- 9.6%
- Number of trades
- 200
- Real +0.20R edge, but sample average is negative
- 2.4%
- No edge, but sample average looks like +0.20R or better
- 2.8%
| Number of trades | Real +0.20R edge, but sample average is negative | No edge, but sample average looks like +0.20R or better |
|---|---|---|
| 30 | 17.7% | 27.7% |
| 50 | 15.5% | 19.6% |
| 100 | 8.8% | 9.6% |
| 200 | 2.4% | 2.8% |
DayTradingToolkit simulation: 10,000 hypothetical traders per row, fixed seed, illustrative only. Not real trader data.
After 30 trades, nearly one in five traders with a genuinely good strategy sees a losing record, and more than one in four with no edge sees a good-looking one. Even after 100 trades, about one in ten is fooled in each direction. Detecting a +0.20R edge at two standard errors takes roughly 216 trades. Spread across five strategies, that's over 1,000 trades before you know anything.
This is why 50 to 100 trades is a minimum for learning how you execute, and why more are needed to judge the edge itself. It's also why you shouldn't abandon a strategy after five losses, or fall in love with it after five wins.
Do these strategies actually work?
Research gives no strategy a clean pass. What it supports is that some price patterns have shown modest predictive power in some periods, that much of that power fades after costs and careful testing, and that most day traders don't profit.
- Evidence
- Brock, Lakonishok and LeBaron (1992)
- What it found
- Trading-range breakout and moving-average rules had predictive power in long-run Dow Jones data
- What it doesn't tell you
- That it works today, or after costs
- Evidence
- Sullivan, Timmermann and White (1999)
- What it found
- After correcting for testing many rules, the best rules' performance weakened in more recent data
- What it doesn't tell you
- That no rule can work
- Evidence
- Gao, Han, Li and Zhou (2018)
- What it found
- The first half-hour return predicted the last half-hour return on the S&P 500 ETF
- What it doesn't tell you
- That you can trade it profitably as an individual
- Evidence
- Zarattini, Barbon and Aziz (2024)
- What it found
- A 5-minute ORB on high-relative-volume stocks showed strong simulated results
- What it doesn't tell you
- That a beginner can reproduce it, with real costs
- Evidence
- Barber, Lee, Liu and Odean (2014)
- What it found
- Fewer than 1% of day traders predictably earned positive returns net of fees
- What it doesn't tell you
- That you can't be one of them
| Evidence | What it found | What it doesn't tell you |
|---|---|---|
| Brock, Lakonishok and LeBaron (1992) | Trading-range breakout and moving-average rules had predictive power in long-run Dow Jones data | That it works today, or after costs |
| Sullivan, Timmermann and White (1999) | After correcting for testing many rules, the best rules' performance weakened in more recent data | That no rule can work |
| Gao, Han, Li and Zhou (2018) | The first half-hour return predicted the last half-hour return on the S&P 500 ETF | That you can trade it profitably as an individual |
| Zarattini, Barbon and Aziz (2024) | A 5-minute ORB on high-relative-volume stocks showed strong simulated results | That a beginner can reproduce it, with real costs |
| Barber, Lee, Liu and Odean (2014) | Fewer than 1% of day traders predictably earned positive returns net of fees | That you can't be one of them |
No strategy works because of its name. It works, if at all, because of how precisely you define it, how well it fits current conditions and how consistently you follow it. That's why you test it yourself.
How do you test a strategy before risking real money?
Test a strategy by writing its rules, trading it in a paper account or on historical charts for at least 50 to 100 trades, logging every trade, and then judging both the numbers and how it felt to trade.
Test the strategy and the trader before trusting either.
- Write the five answers. Selection, trigger, stop, target and skip rule, in one paragraph you could hand to someone else.
- Paper trade it. Lesson 84: Why Paper Trading Is Essential explains in full how to make it count. Take every qualifying setup, and only qualifying setups.
- Log each trade. Date, time, setup, entry, stop, target, result in R and one more column: did you follow every rule, yes or no?
- Review at 50 trades. Calculate expectancy (average win times win rate, minus average loss times loss rate) and your rule-following rate. If you followed the rules less than 90% of the time, you've tested yourself, not the strategy. Fix that first.
- Check emotional fit. Did you dread the open? Keep wanting to override the stop? A strategy you can't follow is a bad strategy for you, however it looks on paper.
If you want to build the sample faster than the market gives you setups, Lesson 80 shows how to backtest without code.
Where can you learn strategies in more depth?
Beyond this course, the Strategies Hub covers individual setups in detail, and structured courses with live examples can speed up the learning once you've tested a strategy of your own.
Disclosure: This lesson contains affiliate links. If you buy through them, DayTradingToolkit may earn a commission at no extra cost to you.
For traders who've finished this course and want structured instruction, Investors Underground combines a library of 700+ video lessons covering named setups with live chat rooms where experienced traders explain their trades in real time. It suits someone who can be at the screen in the morning and wants to see strategies applied daily. Our Is Investors Underground Worth It? breakdown explains who gets the most value, and reader pricing is here.
Sam picks his strategies
Here's how Sam scored the five against his own situation. All judgments are his own and hypothetical.
- Strategy
- Breakout
- Fits his hours (9:45 to 11:30)?
- Yes
- Fits his pace?
- Yes, with a candle-close rule
- Uses skills he has?
- Yes: marking levels since Lesson 22
- Decision
- Shortlist
- Strategy
- Pullback
- Fits his hours (9:45 to 11:30)?
- Yes
- Fits his pace?
- Yes, the slowest of the five
- Uses skills he has?
- Yes: levels, VWAP, 9 and 20 EMA
- Decision
- Shortlist
- Strategy
- Momentum
- Fits his hours (9:45 to 11:30)?
- Partly
- Fits his pace?
- No: his FOMO record says not yet
- Uses skills he has?
- Partly
- Decision
- Later
- Strategy
- VWAP
- Fits his hours (9:45 to 11:30)?
- Yes
- Fits his pace?
- Yes
- Uses skills he has?
- Yes
- Decision
- Use as a filter inside the other two
- Strategy
- Opening range breakout
- Fits his hours (9:45 to 11:30)?
- Partly: the range forms 9:30 to 9:45, before his window opens
- Fits his pace?
- A breakout variant
- Uses skills he has?
- Yes
- Decision
- Study later as a type of breakout
| Strategy | Fits his hours (9:45 to 11:30)? | Fits his pace? | Uses skills he has? | Decision |
|---|---|---|---|---|
| Breakout | Yes | Yes, with a candle-close rule | Yes: marking levels since Lesson 22 | Shortlist |
| Pullback | Yes | Yes, the slowest of the five | Yes: levels, VWAP, 9 and 20 EMA | Shortlist |
| Momentum | Partly | No: his FOMO record says not yet | Partly | Later |
| VWAP | Yes | Yes | Yes | Use as a filter inside the other two |
| Opening range breakout | Partly: the range forms 9:30 to 9:45, before his window opens | A breakout variant | Yes | Study later as a type of breakout |
How Sam narrowed the list (hypothetical)
Momentum was the hardest to drop. It's the strategy every video he'd watched in Lesson 1 was about. But his log was clear: his worst trades of the last month came from rushing into moving stocks. He wrote "momentum: after 100 rule-following trades" in his plan.
Section 2 of his plan now had a shortlist. It still needed rules.
Myth and fact
Myth and fact
Your turn
Choose your first strategies (15 minutes)
Check your understanding
Check your understanding
What turns a trading idea into a strategy?
A strategy is defined by its rules. Without exact conditions, two traders would take different trades from the same 'strategy'.
Check your understanding
You can't be at your screen until 10:15. Which strategy is the poorest fit?
ORB is built around the first minutes of the session. The others can be traded later in the morning.
Check your understanding
A setup risks $0.40 per share to make $0.65. About what win rate does it need just to break even, before costs?
Break-even win rate is risk divided by risk plus reward: 0.40 divided by 1.05 is about 38%. That's why a small reward relative to risk demands a high win rate.
Key takeaways
- A strategy is a set of exact rules (selection, trigger, stop, target, skip), not a name.
- Breakouts, pullbacks, momentum, VWAP and ORB cover most beginner trading, and each fails in predictable ways.
- Compare setups by the win rate they need to break even, not by how exciting they feel.
- Choose by your hours, pace and existing skills, and learn one or two at a time.
- After 30 trades a real edge and a lucky streak look alike, so test for far longer than feels natural.
Frequently asked questions
What is the most profitable day trading strategy?
What timeframe should I use for these strategies?
Which indicators do I actually need?
Should I trade the first 15 minutes after the open?
How do I know if a strategy has stopped working?
Can I use these strategies with a small account?
Up next: what does a real breakout look like, rule by rule?
Sam's shortlist says "breakouts." But on Monday, when XYZ approaches its $54.40 ceiling, he'll need far more than that word: what counts as a break, how much volume confirms it, where exactly the stop goes and what happens when it fails. Lesson 76: Breakout Basics turns the word into rules, and Sam tests them on five trades.
Disclaimer
Article Sources
- Gao, Han, Li and Zhou (2018), Market Intraday Momentum, Journal of Financial Economics - The first half-hour return of the S&P 500 ETF predicted the last half-hour return, more strongly on volatile, high-volume and news days.profiles.wustl.edu
- Brock, Lakonishok and LeBaron (1992), Simple Technical Trading Rules and the Stochastic Properties of Stock Returns, Journal of Finance - Trading-range breakout and moving-average rules showed predictive power in long-run Dow Jones data.ideas.repec.org
- Sullivan, Timmermann and White (1999), Data-Snooping, Technical Trading Rule Performance, and the Bootstrap, Journal of Finance - After adjusting for testing many rules, the best rules' performance weakened in more recent data.ideas.repec.org
- Zarattini, Barbon and Aziz (2024), A Profitable Day Trading Strategy For The U.S. Equity Market, SSRN working paper - Simulated results of a 5-minute opening range breakout on high-relative-volume stocks, 2016 to 2023.papers.ssrn.com
- Barber, Lee, Liu and Odean (2014), The Cross-Section of Speculator Skill: Evidence from Day Trading, Journal of Financial Markets - Fewer than 1% of day traders predictably earned positive returns net of fees.ideas.repec.org
- SEC Division of Trading and Markets, Research Note: Equity Market Volatility on August 24, 2015 - The count of LULD halts and the opening-price moves on August 24, 2015.sec.gov
- Ericsson, Krampe and Tesch-Romer (1993), The Role of Deliberate Practice in the Acquisition of Expert Performance, Psychological Review - Expert skill grows through focused, repeated practice of a defined task with feedback.doi.org
- FINRA Regulatory Notice 26-10 - Intraday margin standards effective June 4, 2026, replacing the pattern day trader rules.finra.org






