Psychology
& Risk Management

1.1 R: your unit of risk

Every trade starts with a question: how much am I willing to lose if I am wrong? That amount is called 1R, where R stands for risk. If you risk $100 on a trade, then 1R = $100. A trade that makes $250 is +2.5R. A trade that loses the planned $100 is -1R. A trade that you exit early for a $40 loss is -0.4R.

Why bother? Because dollars hide the story. A $300 win sounds great until you learn you risked $1,000 to get it. Measured in R, that win is +0.3R, a small result for a large risk. R puts trades of different sizes, markets and account balances on one scale, so you can compare an ES futures trade with an SPY option trade.

The picture above is an illustration, not a record of any real account. Notice that the losers are all about the same size. That is the point of a planned stop: it keeps each loss near 1R before the trade even starts.

1.2 The 1% idea

A common teaching guideline is to risk a small fixed slice of your account on each trade, often around 1%. On a $10,000 account, 1% is $100, so 1R = $100. Some traders use 0.5%, some use 2%. There is nothing magic about 1%. It is a starting point to think about, not advice for your situation.

The reason for a small slice is arithmetic. Hypothetical example: you start with $10,000 and lose ten trades in a row, each at 1% of the current balance. After each loss the balance is multiplied by 0.99. After ten losses: $10,000 x 0.99^10 = about $9,043.82. You are down about 9.6%, you are still in the game and you can think clearly.

Now the same ten losses at 10% risk per trade. Each loss multiplies the balance by 0.90. After ten: $10,000 x 0.90^10 = about $3,486.78. That is a 65% drawdown. Losing streaks happen to every trader, so the question is not whether you will have one but whether your size lets you survive it.

1.3 Costs and slippage change your R

Your plan says 1R = $100, but the real loss can be a little bigger. Commissions and fees are charged on every trade. Slippage is the difference between the price you expected and the price you got. A stop order becomes a market order when touched, so in fast markets the fill can be worse than the stop price. A stop is not a promise of a particular price.

Hypothetical example: you plan to lose $100 but slippage of 1 tick on 1 ES contract adds $12.50, and fees add $4. Your real loss is $116.50, or -1.165R. Over many trades, that extra slice adds up, so some traders plan with a slightly smaller R to leave room for costs.

On options, the bid/ask spread works like a built-in cost. If you buy at the ask and the bid is 10 cents lower, you start the trade 10 cents x 100 = $10 behind per contract. For thinly traded options that cost can matter as much as your stop.

2.1 The futures sizing formula

Position size answers one question: how many contracts keep my loss at 1R if my stop is hit? The formula has three steps. (1) Decide your risk in dollars. (2) Work out the stop distance in ticks and what that is worth per contract. (3) Divide and round down.

Contracts = risk in dollars / (stop in ticks x tick value). Here are the tick values. A tick is the smallest price move.

Hypothetical example A. Account $10,000, risk 1% = $100. You trade MES with an 8-tick stop. Risk per contract = 8 x $1.25 = $10. Contracts = $100 / $10 = 10 MES. If the stop is hit, you lose about $100 plus costs.

Hypothetical example B. Same account, but now the stop is 12 ticks on ES. Risk per contract = 12 x $12.50 = $150, which is more than your $100. The answer rounds down to 0 contracts of ES. That is a skipped trade, not a failure. The same 12-tick idea in MES costs 12 x $1.25 = $15 per contract, so $100 / $15 = 6.67, rounded down to 6 MES (risk $90). This is the real benefit of micros: finer steps in size.

Hypothetical example C. MNQ, stop 20 ticks (5 index points). Risk per contract = 20 x $0.50 = $10. For $100 risk: 10 MNQ.

2.2 Sizing options you buy

When you buy a call or put, the most you can lose is the premium you paid. One option contract usually controls 100 shares, so the dollar cost is premium x 100. A call priced at $0.95 costs $95 per contract. If you buy it and treat the whole premium as your risk, 1R = $95 for one contract.

Hypothetical example: risk budget $100. Option A costs $0.95 ($95): 1 contract. Option B costs $2.50 ($250): that is 2.5 times your budget, so the answer is 0 contracts, or choose a cheaper strike or skip. Notice that you can lose 100% of an option's premium even when the stock barely moves against you, because of time decay (covered in the options guides).

Because a bought option can lose its whole value, many traders do not hold the full premium to zero. They set an exit rule, such as getting out if the option loses half its value. Then their R is half the premium. Decide that rule before entry, and remember that wide bid/ask spreads can make exits worse than planned.

2.3 Defined-risk spreads

A vertical spread combines a bought option and a sold option at different strikes. The maximum loss is known before you enter. For a debit spread, max loss = the debit paid x 100. For a credit spread, max loss = (strike width - credit received) x 100.

Hypothetical example. A 5-wide bull call spread costs a $1.80 debit. Max loss = $1.80 x 100 = $180. Max profit = ($5.00 - $1.80) x 100 = $320. With a $100 risk budget that is 0 spreads. A 2-wide spread with a $0.70 debit has max loss $70 and max profit ($2.00 - $0.70) x 100 = $130, so 1 spread fits ($100 / $70 = 1.43, rounded down).

Credit spread example. A 5-wide bull put spread collects $1.50. Max profit = $150. Max loss = ($5.00 - $1.50) x 100 = $350. On a $10,000 account that is 3.5% risk for one spread, which is more than a 1% budget. Many beginners overlook that a small credit can hide a large max loss.

2.4 Undefined-risk short options need extra care

Selling an option with no protection on the other side is called a naked or uncovered short option. The loss is not capped the way a spread is. A short naked call can lose without limit if the stock rises sharply. A short naked put can lose up to the strike price (x 100) minus the premium, if the stock falls to zero.

Hypothetical example: you sell a 500-strike put for $2.00. You keep $200 if it expires worthless. The theoretical worst case is (500 - 2) x 100 = $49,800 per contract. Gaps overnight can jump past any stop. Brokers require special approval and margin for these trades, and margin is not your risk: the loss can exceed the margin held. For learners, defined-risk structures are the usual place to start; undefined risk is an advanced topic.

3.1 Stops versus market noise

Noise is the normal back-and-forth movement of price that means nothing in particular. A stop placed inside the noise gets hit by routine movement, then price goes your way without you. A stop placed far beyond the noise costs a lot per contract and forces a smaller size. The skill is putting the stop where your idea is wrong, not where it is comfortable.

A stop has two jobs. It marks the point where the trade idea is invalid, and it caps your loss. Start with the chart: where would price have to go for the setup to be wrong? Maybe below the last swing low, below a level that held several times, or beyond a prior high. Then measure that distance in ticks and size to it, as in Lesson 2. Size to the stop, never stop to the size.

Hypothetical example: the typical 5-minute ES candle on your chart has a range of about 6 points (24 ticks). A 2-point (8-tick) stop is smaller than a single normal candle, so routine movement will likely hit it. A stop 8 points away (32 ticks) respects the noise but costs 32 x $12.50 = $400 per ES contract, or 32 x $1.25 = $40 per MES contract. With a $100 budget that is 2 MES ($80 of risk). Wider stop, smaller size, same dollar risk.

3.2 Max daily loss

A max daily loss is a number you set in advance. When your losses for the day reach it, you stop trading until tomorrow. The most common reason is human, not mathematical: after a few losses, judgment gets worse (more in Lesson 5). A hard limit removes the decision when you are least able to make it.

Hypothetical example: account $10,000, 1% risk = $100 per trade, max daily loss 2% = $200, which is 2R. After two full losers you are finished for the day. Add a max trades rule, such as 3 trades per day, so a string of small scratches does not turn into overtrading. Some traders also use a weekly limit, like 5R, to stop a bad week from becoming a bad month.

Prop firm evaluations often impose their own daily loss and trailing drawdown rules, and breaking them can end the account. Read your own firm's current rules; this guide does not describe any specific firm.

3.3 Drawdown and why recovery is lopsided

Drawdown is the fall from an account's peak to a later low. It matters because gains are measured from a smaller base after a loss. To get back to even after losing L% you need a gain of L / (100 - L), expressed as a percent of what is left.

Many traders pair this with a drawdown ladder, a plan written in advance. Hypothetical example: at -5% from peak, cut size in half; at -10%, stop live trading and review your journal for a week. These numbers are examples, not recommendations. What matters is that the rule exists before the drawdown does.

A note on options: a stop on an option can slip when bid/ask spreads are wide or the market gaps. With a defined-risk spread, the maximum loss is already capped, so the structure itself acts as a backstop, and a planned exit before expiry still helps.

4.1 The expectancy formula

Expectancy is the average result per trade over many trades, measured in R. Formula: Expectancy = (win rate x average win in R) - (loss rate x average loss in R). A positive number means the approach averaged a gain over the sample; zero or negative means it did not. It describes past data. It does not predict the next trade.

Hypothetical example: you win 40% of trades. Winners average +2R, losers average -1R. Expectancy = (0.40 x 2) - (0.60 x 1) = 0.80 - 0.60 = +0.20R per trade. At 1R = $100 that is $20 per trade on average before costs. Over 100 trades that sample would show about +20R, or $2,000, but any individual run can be better or worse.

Second example: you win 60% of trades but winners average only +0.5R while losers average -1R. Expectancy = (0.60 x 0.5) - (0.40 x 1) = 0.30 - 0.40 = -0.10R. You win more than half your trades and still lose money on average. That is why win rate alone is a poor scoreboard.

4.2 Breakeven win rate

For a given reward:risk ratio (RR), the win rate you need just to break even (before costs) is 1 / (1 + RR). Look at the table. The higher your reward relative to risk, the lower the win rate you need, but targets that are farther away are also reached less often.

More hypothetical examples: win 30% at an average +3R: (0.30 x 3) - (0.70 x 1) = 0.90 - 0.70 = +0.20R. Win 70% at +0.5R: (0.70 x 0.5) - (0.30 x 1) = 0.35 - 0.30 = +0.05R, barely above breakeven, and commissions could erase it. A strategy with a high win rate and small winners is exposed to costs and to one large loss.

Options trades carry the same logic. A defined-risk credit spread that often earns a small win has a lopsided max loss. Collect $1.50 on a 5-wide spread and the max loss is $350 against a $150 max profit, so you must win about 70% of the time to break even (350 / (350 + 150) = 0.70). That is not a verdict on the strategy, just the arithmetic you should know before you start.

4.3 Costs and sample size

Costs come off every trade. If average costs are 0.1R per trade, a +0.20R expectancy becomes +0.10R, which is half the edge. Include commissions, fees and typical slippage in your R numbers or your expectancy will look better than it is.

Sample size matters too. A heuristic often shared in trading education: results from fewer than about 30 trades are too few to say much, and 100 or more starts to be more informative. That is a rule of thumb, not a statistical test. Twenty trades can look great or terrible purely by luck, so avoid changing your approach after a small run.

5.1 The tilt cycle

Tilt is a poker word for playing worse because of emotion, often after a loss or a bad beat. In trading it looks the same: you stop following your plan and start trying to fix your feelings with the next trade. It is common and human, not a character flaw. The goal is to spot it early and have a pre-agreed response.

Hypothetical example: your plan risks 1R = $100 with a 2R daily limit. You lose -1R ($100). Angry, you take an unplanned trade at double size and lose -2R ($200). Now you are down $300. You take another, triple size, and lose -3R ($300). Total: $600, or 6R, in a day your plan capped at $200. Each step felt like it needed one more trade to fix the previous one.

Notice what changed: the stop was probably still there, but the size and setup were not in the plan. The cycle mostly breaks rules around size and selection, not around the chart.

5.2 FOMO and revenge

FOMO (fear of missing out) is entering because price is moving and you do not want to be left behind. The tell: you are buying after a big move, far from any level where you could place a logical stop, so your stop is wide or missing. A missed move costs you nothing. A chased entry can cost you 1R or more.

Revenge trading is trading to punish the market or recover a loss. The tell: the trade is not on your checklist and the size is above normal. Both feelings are normal. What counts is whether you act on them.

Options add their own triggers. Cheap far-out-of-the-money options feel like lottery tickets, and a fast spike in an option price creates FOMO. Averaging down on a losing option, buying more as it falls, increases your risk on a position that is already wrong and is fighting time decay. Another trap is holding through an earnings report: after the event, implied volatility often falls (an IV crush), so the option can lose value even if the stock moves your way.

5.3 Breaking the cycle

Rules written before the heat of the moment work better than willpower during it. Here are some that traders use. Treat them as ideas to adapt.

1. Two-loss rule: after two losing trades in a row, stop for 30 minutes or the session.
2. Max daily loss reached means the platform closes. Log out or walk away.
3. Fixed size. Size does not change after a win or a loss unless your written plan says so.
4. Name the feeling in your journal: 'I feel angry/rushed/bored.' Naming it reduces its grip.
5. Physical reset: stand up, walk, drink water, breathe slowly for a minute.

Another tool is an if-then plan: 'If I take two losses, then I stop trading for the day.' Decide it in advance and it is easier to follow.

A word on recovery after a bad day. Do not try to earn it back the next day with larger size. Instead, treat the next session as a fresh start with plan-sized risk. Review the losing trades in your journal at the weekend, away from the screen, and ask which rule would have kept you out. Most traders find the answer is one of a handful of rules: size, a missing stop, or a trade that was not on the list. Fixing one rule at a time is slow but it works better than a promise to 'be more disciplined', which has no mechanism behind it.

6.1 Why write a plan

A trading plan is a short written document that says what you trade, when, how you size, and when you stop. It does not predict the market. It decides your behavior before the market opens so you do not have to invent rules under pressure. Plans do not need to be long. One page is enough.

A good plan answers these questions in plain words: Which markets and hours do I trade (for example ES or MES, 9:30 to 11:30 AM ET)? Which setups count? What is my risk per trade and per day? What makes me skip a trade? What do I do after a loss? When do I review?

6.2 Invalidation, levels and the skip rule

Invalidation is the price where your idea is wrong. Write it down before entry. If price reaches it, the trade is over, no matter how you feel. Without it, a stop tends to move.

A skip rule is a reason to do nothing. Examples: reward is less than 1.5R, the stop would be too wide for your size, the setup is not on your list, or you are tired or upset. The best trade is sometimes no trade, and a plan with no skip rules becomes a plan to trade constantly.

Hypothetical example that is skipped: ES pulls back to a level you like. The stop at invalidation is 14 ticks = 14 x $12.50 = $175 per ES contract, more than your $100 budget. You could use 5 MES (14 x $1.25 = $17.50 each, 5 x $17.50 = $87.50), but the first target is only 1R away, below your 1.5R minimum. The trade is skipped by your own rules. That is the plan working.

6.3 The pre-trade checklist

A checklist is the plan reduced to questions you answer in under a minute before you click. Pilots use them for the same reason: even experts forget steps when they are rushed.

If any answer is no, the trade does not happen. Keep it on a sticky note or in your platform notes. For options, add: What is my max loss on this structure? How wide is the bid/ask spread? Is earnings or another event inside my holding time (and so an IV crush risk)?

Here is how the plan and the checklist work together on a real morning. Before the open you read the plan and mark levels. During the session you run the six questions only when a setup appears. Most of the time the answer to the first question is no, and you do nothing. That is normal: many sessions contain one or two valid setups, and some contain none. The plan also tells you what to do when you are wrong, so a stopped trade is just the cost of doing business, recorded in your journal as -1R and reviewed on Saturday. Over time, the plan is the thing you improve, one small edit at a time, based on your own numbers.

7.1 What goes in the journal

A trading journal is a log of every trade with enough detail to learn from it later. The most valuable part is not the profit and loss. It is whether you followed your plan, because that is the thing you control. Keep it quick or you will not do it.

For options, add the structure (call, put, vertical), the strikes, the number of days to expiration, the implied volatility at entry, and whether an event (such as earnings) fell inside the holding period.

7.2 Honest numbers

Once you have enough trades (see the sample-size warning in Lesson 4), compute a short list each month: number of trades, win rate, average win in R, average loss in R, expectancy and the largest losing streak. Use R, not dollars, so changes in size do not distort the picture.

Hypothetical example: 20 trades in a month. 9 wins averaging +2R = +18R. 11 losses at -1R = -11R. Net = +7R. Win rate = 9 / 20 = 45%. Expectancy = (0.45 x 2) - (0.55 x 1) = 0.90 - 0.55 = +0.35R per trade (= 7R / 20 trades). At 1R = $100 that is $700 before costs.

Now split by plan adherence. Of those 20 trades, say 14 followed the plan and netted +9R, while 6 broke the plan (a revenge trade, a trade with no stop, an oversize trade) and netted -2R. The totals match: 9R + (-2R) = +7R. Separating them shows what to examine: the off-plan trades are where the process leaks. That tells you what to fix: process, not the strategy.

Do not judge a single trade by its outcome. A trade can follow the plan and lose (a good decision, normal result), or break the plan and win (a bad decision that got lucky). Grading each trade A, B or C on process keeps you honest.

7.3 The weekly review

Pick a fixed time, such as Saturday morning for 30 minutes. Open your journal and answer a short list of questions.

1. What were my best and worst trades by process, not by profit?
2. How many trades broke my plan, and what was the trigger (feeling, time, news)?
3. Did my average loss stay near 1R?
4. Do I see a pattern by time of day, setup or market?
5. What is the ONE thing I will change next week? Write it in a single sentence.

Pick one change at a time. Five changes at once means you cannot tell what helped. Revisit the plan from Lesson 6 only at review time. Over months, your journal becomes your own data set, and your own numbers are the only ones that apply to you. Past results, including yours, do not predict future results.

A few practical tips make the habit stick. Log the trade right after it closes, while the details are fresh, using a template so it takes under two minutes. Keep the same fields every time so months of entries can be compared. Record paper trades the same way as real ones; the habit matters before the money does. If you use a spreadsheet, add formulas for R, running total and win rate so you do not have to calculate them by hand. The free trading journal download from White Feather Finance is one option, though any consistent format works.

Most trading problems are not about charts. They are about what you do after a loss, during a winning streak, and when a move runs without you. This guide lists twelve common mistakes across futures and options, including options-specific ones such as holding through an IV crush and averaging down on a losing option.

For each mistake you get what it looks like, why it happens, what to do instead and one self-check question you can ask before you click. Print it and keep it next to your screen. This is education, not advice, and trading futures and options involves substantial risk of loss.