Examples: Futures Trades

Reading about futures is one thing. Watching the points turn into actual dollars — tick by tick, with nothing rounded away and nothing hidden — is where the instrument finally makes sense. That is what this document does. It walks through four complete futures trades, slowly, showing every conversion from price movement to money.

Futures scare beginners for one reason: the numbers move in a code. Price moves in points and ticks, and neither word sounds like money. By the end of these four examples, you will be fluent in translating both into dollars — and you will see why professional futures traders plan every trade in risk first and profit second, and why the small micro contracts exist at all.

Before the Examples: Points, Ticks, and Dollars

A point is a move of one full unit in the price. If the ES (the futures contract on the S&P 500 index) rises from 6,020 to 6,021, it moved 1 point. A tick is the smallest move a contract is allowed to make. For the ES, the tick is 0.25 of a point, so price moves in quarter-point steps: 6,020.00, 6,020.25, 6,020.50, and so on.

Every contract has a fixed dollar value for each point and each tick. These values never change and are set by the exchange (CME, the Chicago Mercantile Exchange, where these contracts trade):

That gives you two ways to price any move, and they must always agree:

• By points: points moved × dollars per point = dollars.
• By ticks: ticks moved × dollars per tick = dollars.

In every example below, the math is shown both ways, on purpose. If the two answers ever disagree, an error has crept in — that cross-check is how traders catch mistakes before the market charges them for one. One more term: R means the planned risk of a trade. If you plan to lose at most $500, then $500 is 1R, a $1,000 profit on that trade is +2R, and R is the scoreboard every example uses, because it lets you compare trades of completely different sizes fairly.

Example 1 — ES Trend Day

The Setup. Some days the market picks a direction early and simply goes, all day, in one direction. Traders call that a trend day. The fingerprint is the opening range — the high and low of the first 30 minutes of the regular session. On a trend day, price breaks out of that range and never comes back. On this morning, ES opens at 6,005 and spends the first half hour between 5,998 and 6,018. Late in the morning, price pushes through 6,018 — the top of the range — and, importantly, stays above it on a small pullback. That hold is the signal our example trader acts on: the range has broken upward and buyers are defending it.

The Plan. The trader buys 1 ES contract at 6,020, just above the breakout. The stop — a resting order that automatically sells the position if price falls to a chosen level, capping the loss — goes at 6,010. The logic: if price falls back to 6,010, it is back inside the old range, the breakout has failed, and the idea is simply wrong. The account is $50,000, and the trader's rule is to risk about 1% per trade — roughly $500. Notice what happens next: the math, not a feeling, confirms the size. One contract risks exactly $500, as the math below shows. So the size is 1 contract — not because the trader is timid, but because 2 contracts would break the rule. There is no fixed profit target; on a trend day the plan is to hold while price stays above the broken range and exit late in the day.

And the downside is just as defined. If the breakout fails and the stop fills at 6,010, the result is −10 points = −$500 = −1R, and the $50,000 account becomes $49,500 — a 1% dip, agreed to in advance, with no decision left to make in the heat of the moment.

The Math. Risk first. Entry 6,020, stop 6,010: the distance is 6,020 − 6,010 = 10 points.

• By points: 10 points × $50 per point = $500 risk.
• By ticks: 10 points ÷ 0.25 per tick = 40 ticks; 40 ticks × $12.50 = $500 risk. The two routes agree.

What Happened. Price stair-steps upward all afternoon — small rises, small pauses, never a real pullback below the morning range. This is the trend day doing what trend days do. Following the plan, the trader holds and exits at 6,052 late in the session. The gain is 6,052 − 6,020 = 32 points.

• By points: 32 points × $50 = +$1,600.
• By ticks: 32 points ÷ 0.25 = 128 ticks; 128 × $12.50 = +$1,600. Agreement again.
• In R: $1,600 ÷ $500 = +3.2R — the trade paid 3.2 times what was risked.

The Lesson. Nobody knew at 6,020 that the day would trend. The trader did not predict +32 points; the trader took a defined $500 risk on a clean signal and let a strong day pay what it paid. On a choppy day, this exact same plan produces a plain −$500 loss at the stop — and that is fine, because the loss was chosen in advance. The skill is not finding trend days. The skill is risking an amount that lets you survive the ordinary days and still be present, at full planned size, on the extraordinary ones.

Example 2 — The Same Trade on MES

The Setup. Same morning, same chart, same breakout at 6,020 — but a different trader, with a $5,000 account. This trader sees the identical setup and wants it. Watch what the ES math does to a small account: one ES contract risks $500, which is 10% of $5,000. One loss is survivable but painful; five losses in a row — a completely ordinary streak in trading — costs $2,500, half the account. The setup is good. The contract is wrong.

The Plan. Enter the MES, the micro version of the ES. It tracks the exact same index, shows the exact same prices, and breaks out at the exact same 6,020 — but each point is worth $5 instead of $50, exactly one-tenth. The trader buys 2 MES contracts at 6,020, with the stop at the same 6,010 and the same plan to hold a trend day.

The Math. Per contract, the distance is still 10 points — the chart does not know or care which contract you hold.

• Risk per MES contract: 10 points × $5 = $50. By ticks: 40 ticks × $1.25 = $50. (Compare: $500 on the ES. The dollars divided by 10, exactly.)
• Total risk on 2 contracts: 2 × $50 = $100 — 2% of the $5,000 account, a sane size.
• The day trends the same way, exit 6,052, gain 32 points: 32 × $5 = $160 per contract (128 ticks × $1.25 = $160, checking out), and 2 × $160 = +$320 total.
• In R: $320 ÷ $100 = +3.2R — identical to the ES trade.

What Happened. The small-account trader made $320 instead of $1,600, on the same idea, the same day, the same chart — and slept fine the night before, because the worst case was a planned $100.

Run the bad streak both ways and the micro's purpose gets even clearer. Five planned losses in a row on 2 MES contracts cost 5 × $100 = $500 — 10% of the $5,000 account: painful, survivable, recoverable. The same five losses on 1 ES contract cost $2,500 — half the account gone, a hole that requires a 100% gain just to climb back to even. Same trades. Same skill. Radically different damage.

The Lesson. This is why the micro contracts exist. They were created so that position size can fit the account instead of the account being forced to fit the contract. R — the quality of the trade — is exactly the same on both. Only the dollars scale. A beginner who learns on MES is playing the real game, with real money and real emotions, at one-tenth the tuition. When the account and the record justify it, the same skills transfer to the full-size contract unchanged, because the chart, the plan, and the math are literally the same — only the multiplier moved.

Example 3 — NQ Range Day: Two Fades on MNQ

The Setup. Not every day trends. On a range day, price bounces between a ceiling and a floor like a ball in a hallway. Today the NQ (Nasdaq-100 futures) is trapped between 21,120 at the bottom and 21,200 at the top — an 80-point range — and has already bounced off both edges twice. Fading means trading against price at the edge: selling near the top, expecting the bounce down; buying near the bottom, expecting the bounce up. Our trader uses 2 MNQ contracts ($2 per point) and an $8,000 account.

The Plan. Fade each edge the same way: enter near the extreme, target the middle of the range (21,160), and place the stop just outside the range — because a range trade is only wrong when the range breaks, and the stop must sit exactly where the idea dies. Risk per fade: 20 points × $2 × 2 contracts = $80, about 1% of the account. The target is the same 21,160 on both fades — roughly 32 points from each entry — and that is deliberate: the middle of the range is the one place price visits on nearly every trip across, while demanding the far edge demands a perfect full crossing. Fading is a business of taking the reliable middle, not the heroic whole.

The Math and What Happened — Fade One (the win). Mid-morning, price pushes up to 21,192, near the ceiling. The trader sells 2 MNQ at 21,192, stop at 21,212 (20 points above entry, just over the range high). Price stalls, rolls over, and drifts down to the middle of the range. Exit at 21,160: the gain is 21,192 − 21,160 = 32 points.

• Per contract: 32 points × $2 = $64. By ticks: 32 ÷ 0.25 = 128 ticks × $0.50 = $64. ✓
• On 2 contracts: +$128, which is $128 ÷ $80 = +1.6R.

The Math and What Happened — Fade Two (the loss). In the afternoon, price slides to the bottom edge. The trader buys 2 MNQ at 21,128, stop at 21,108 (20 points below entry, just under the range low — same $80 risk). This time the bounce never comes. Fresh selling pushes price straight through 21,120: the range is breaking. The stop fills at 21,108. Loss: 20 points × $2 × 2 contracts = −$80, exactly −1R, exactly as planned.

The Lesson. Add the day up: +$128 − $80 = +$48 net, or +0.6R, on a record of one win and one loss. Beginners assume you must be right most of the time; range math shows the truth — if your wins are bigger than your losses, you can be wrong half the time and still finish green. And notice what made the whole day safe: the stops sat outside the range. Ranges always break eventually — it happened on fade two — and when they do, an unstopped fade becomes a runaway loss in the new trend. The planned $80 loss was not a failure of the system. It was the system working precisely as designed, on the trade where the idea stopped being true.

Example 4 — The Stop That Saved the Account (GC)

The Setup. Gold (GC) has been climbing for days. This morning it pulls back to 2,650.0 — an area that held as support twice before — and steadies there. Our trader buys 1 GC contract at 2,650.0, expecting the uptrend to resume. Gold's numbers demand respect: 1 point = $100, and a 0.10 tick = $10, so even small-looking price moves are real money. The account behind the trade is $40,000, which makes the planned risk below the trader's standard 1%.

The Plan. Stop at 2,646.0, four points below entry — under the support that justified the trade. Target 2,662.0, twelve points up.

• Planned risk: 4.0 points × $100 = $400. By ticks: 4.0 ÷ 0.10 = 40 ticks × $10 = $400. ✓
• Planned reward: 12.0 points × $100 = $1,200 — a clean 3R plan ($1,200 ÷ $400).

The Math and What Happened. A few hours in, a surprise economic headline crosses the wire — the kind nobody can schedule around — and gold does not drift down. It drops, hard and fast, straight through the entry and through the support. The stop order fills at 2,646.0. Realized result: −$400, exactly the planned loss. The trade is over. The trader's honest first feeling is irritation: the stop "cost" $400 on a trade that might have recovered.

Then the afternoon happens. Gold never bounces. It slides, pauses, slides again, and closes the day at 2,622.0.

The counterfactual — the same trade with no stop. A trader who "didn't want to take the loss" and simply held would have watched the position sink from 2,650.0 to 2,622.0: a move of 28.0 points.

• By points: 28.0 × $100 = −$2,800.
• By ticks: 28.0 ÷ 0.10 = 280 ticks × $10 = −$2,800. ✓

That is seven times the planned risk (2,800 ÷ 400 = 7) — 7% of the account gone in a single afternoon, and exactly the kind of day that makes traders quit, or worse, double the next position trying to win it back. It also erases seven normal losses' worth of account, with the worst part unknown the whole way down: at 2,640, would you have held? At 2,630? Hope is not an exit plan, and every point of that slide was another $100 decision made by a stressed person in real time. The stop made the decision once, calmly, in advance: it lost $400 and, in the same act, prevented the extra $2,400 of damage between 2,646.0 and 2,622.0.

The Lesson. A stop does not prevent losses — nothing does. A stop pre-decides them, at a size you chose while thinking clearly, and it converts the worst sentence in trading — "it went how far against me?" — into a fixed number you already agreed to. Judge a stop not by the small red number it prints, but by the catastrophic one it makes impossible. On this day, $400 was not the cost of the trade. It was the price of insurance, and the insurance paid out $2,400.

What These Examples Teach

• Fluency is safety. Every futures result is just points × dollars-per-point, cross-checkable by ticks × dollars-per-tick. If you cannot do that math in your head for your contract, you do not yet know what you are risking — learn the table before anything else.
• The plan comes before the entry. In all four examples, the stop, the size, and the exit logic were written down before the trade existed. Nothing was improvised mid-trade, including on the losing trades.
• Risk is sized by math, not confidence. The ES example risked $500 because 10 points × $50 said so; the MES example shows the same idea deliberately scaled to a smaller account. The contract is chosen to fit the risk — never the other way around.
• R is the honest scoreboard. +3.2R, +3.2R, +0.6R on a one-win day, and a contained −1R day inside Example 4's plan. Dollars flatter and frighten; R tells you whether the trading itself was good.
• You do not need to be right most of the time. Example 3 finished profitable with a 50% win rate because the win (+1.6R) was bigger than the loss (−1R). Win size and loss discipline matter more than win rate.
• Stops cap the worst day, not the average day. The $400 GC stop looked like a cost for about an hour — then it was the only thing standing between the trader and a −$2,800 afternoon. The trades that end accounts are never the planned losses.
• Losers handled well are tuition; losers handled badly are damage. Both losses in this document were planned, sized, and survived without emotion changing a single decision. That — not any single winning trade — is what staying in the game actually looks like.