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This trading plan example is a one-page, prop-safe template built for traders who need to stay inside hard rules like daily loss limit, maximum drawdown, and the consistency rule. In funded trading, you’re not just trying to be profitable–you’re trying to be profitable without violating constraints. That requires a plan that is specific enough to execute on a bad day, not just a good day.
If you’re new to funded trading, it helps to understand the environment first: prop trading is a rule-based performance test, not a free-form account. Here’s a useful overview of how the model works: Prop Trading.
A trading plan isn’t a motivational speech you reread when you feel stuck. It’s a decision system you can follow even when you’re tired, frustrated, or tempted to improvise. When analysts review why funded traders pass or fail, the pattern is usually the same: the winners can repeat clean execution inside strict limits. That’s why a one-page trading plan works so well–it forces you to be specific instead of vague.
A prop-safe plan should lock in three things. First, it defines your edge: the exact setups you trade and the situations where you stay out. Second, it defines your risk: your risk per trade, your personal daily stop, and the drawdown buffers that keep you away from rule violations. Third, it defines your behavior under pressure: what you do after a loss, a mistake, or the first signs of tilt.
Most traders don’t blow accounts because they’re not smart enough. They blow accounts because their plan leaves too much room for interpretation, and that’s exactly when emotions take over.
If you want the shortest answer to how to write a trading plan, it’s this: write the few rules that prevent you from breaking the rules. A funded trader’s plan should include these nine fields:
Markets + session
Primary setup (and optionally one secondary)
Entry criteria (what must be true before you click)
Exit criteria (stop loss rules + take profit rules)
Risk per trade (fixed number, not a feeling)
Position sizing rules (how size is determined)
Daily loss limit buffer + maximum drawdown buffer (your safety margin before firm limits)
Behavior rules (anti-tilt, anti-overtrading, max trades per day)
Review loop (what you check weekly and what triggers changes)
These fields matter because they map directly to the most common failure modes in funded trading: oversizing, overtrading, drifting setups, and trying to “make it back” after a red trade.
Below is the copy/paste prop trading plan template. Keep it one page. If you can’t explain your plan in one page, it’s probably too complex to follow under stress.
Instruments: ____________________
Time window (timezone): ____________________
“No trade” windows (thin liquidity / fatigue): ____________________
Setup name: ____________________
Market condition required (trend/range/volatility): ____________________
Confirmation signals: ____________________
Invalidations (when the setup is NOT valid): ____________________
Price condition: ____________________
Trigger (what makes me click): ____________________
Stop location must be logical (not random): Yes / No
Minimum R:R: ________ (e.g., 1:2)
Stop loss rule: ____________________
Take profit rule: ____________________
Partial exits? ____________________
Trailing stop? ____________________
Risk per trade: % (or $)
Max open risk at once: ________%
Position sizing model: Fixed / ATR / Volatility (choose one)
If you want a clean breakdown of sizing models for funded trading, use this as your reference: Position Sizing for Prop Traders (Fixed Risk, ATR Risk, Volatility Risk).
Daily loss limit (firm): ________%
My personal daily stop (buffer): ________%
Maximum drawdown (firm): ________%
My “risk-down mode” trigger: ________% DD
For clarity on how daily loss is typically defined in these programs, see: Daily Drawdown (Equity).
Max trades per day: ________
After 1 loss: ____________________
After 2 losses: ____________________
If I break a rule: stop trading for ________ hours
A simple recovery protocol for revenge trading and overtrading belongs here, because it’s one of the fastest ways traders violate daily limits: How to Stop Revenge Trading.
My “pace” rule (avoid one-day spikes): ____________________
My daily profit cap (optional): ________%
My rule: I won’t increase risk after a green day.
If you trade under a consistency constraint, this clarifies why it exists and how traders accidentally trip it: What is the consistency rule and why is it important?
What worked (one sentence): ____________________
What failed (one sentence): ____________________
One change for next week: ____________________
Most “plan” documents fail because they don’t specify entry criteria and exit criteria tightly enough. Traders end up improvising. Improvisation is fine when you’re calm. It’s expensive when you’re down.
A practical way to keep this clean is to define your entry in three layers:
Context (trend/range/volatility condition)
Trigger (the specific event that activates the trade)
Invalidation (the exact price level that proves you’re wrong)
Your exits should be just as rule-based:
Stop loss rules should be placed where your trade idea is invalid, not where the loss “feels okay.”
Take profit rules should reflect your edge. If your edge is momentum, you need a momentum exit. If your edge is mean reversion, you need a reversion exit.
A lot of experienced prop traders standardize this by using a minimum risk reward ratio (like 1:2) but treat it as a filter, not a guarantee. The real win is consistency: same logic, repeated over time.
If you’ve ever searched “what should a trading plan include,” this is the part most generic templates miss: in funded trading, the game is pass/fail around risk. A good plan doesn’t just repeat the firm’s limits back to you. It builds buffers so you have breathing room when real execution gets messy.
Risk managers often use a simple numeric framework here. For example, if the firm’s daily loss limit is 5%, your personal stop might be set at 3%. If the firm’s maximum drawdown is 10%, you might trigger a “risk-down mode” at 6% drawdown, where you reduce size and slow trade frequency before you get anywhere near a violation. Those buffers matter because execution is never perfect.
Slippage happens, fills come late, and stops can be hit during fast moves. A buffer turns those inevitable imperfections into manageable noise instead of a rule breach. If you want to sanity-check your understanding of drawdown mechanics (and why trailing vs static feels so different), read Drawdown Explained.
“Risk per trade” is where discipline becomes measurable. In most prop blowups, the root cause is one of these:
risk per trade was too high
risk increased after a loss
multiple correlated trades were stacked at once
A conservative, prop-safe starting point many traders use is 0.25%–0.75% risk per trade depending on volatility and rule strictness. Then they adjust using a sizing model rather than emotion.
If you want to be systematic, pick one of these sizing approaches and stick to it:
Fixed risk (same % each trade)
ATR risk (stop distance drives size)
Volatility risk (position size adapts to market conditions)
Those models are laid out clearly here: Position Sizing for Prop Traders.
The consistency rule is one of the most misunderstood prop constraints. Traders hear “be consistent” and think it’s motivational. In reality, it’s often a structural way firms reduce the probability of gamblers passing by one huge day.
A prop-safe trading plan solves this with pacing rules:
You don’t let one green day change your size.
You cap your daily trade count so you’re not chasing.
You define what happens after losses so you don’t spiral.
If you want the plain explanation of how this is defined and why it exists, see: What is the consistency rule and why is it important?
And if you’re building your plan around preventing tilt behavior (which is smart), your “after losses” rules should reference a concrete protocol like the one here: How to Stop Revenge Trading.
A trading plan checklist is how a plan becomes executable. Most funded traders don’t need more information. They need fewer decisions.
Keep your checklist short enough that you actually use it:
Pre-trade checklist
Is my setup present (yes/no)?
Is my stop logical (yes/no)?
Is my risk per trade fixed (yes/no)?
Am I within my daily buffer (yes/no)?
Post-trade review
Did I follow entry criteria (yes/no)?
Did I follow exit criteria (yes/no)?
Was this an A setup or not (A/B/C)?
One note for tomorrow (one sentence).
(That’s it. The goal is pattern recognition, not journaling for hours.)
Here’s a filled trading plan example for a crypto day trader. Treat it as a model, not a prescription.
Instruments: BTC/USDT, ETH/USDT
Time window (timezone): 08:00–11:00 UTC (no trading after 11:00 UTC)
“No trade” windows (thin liquidity / fatigue): last hour before sleep; first 30 minutes after waking
Setup name: Break-and-retest continuation
Market condition required (trend/range/volatility): trend day with clean higher highs / higher lows
Confirmation signals: break above prior high + retest holds + momentum confirmation
Invalidations (when the setup is NOT valid): break below retest low
Price condition: price breaks prior high and retests the level without losing structure
Trigger (what makes me click): retest holds + confirmation candle close
Stop location must be logical (not random): Yes
Minimum R:R: 1:2
Stop loss rule: below retest low (hard stop, no widening)
Take profit rule: scale at 2R, trail remainder under structure
Partial exits?: Yes (scale out at 2R)
Trailing stop?: Yes (trail under structure after partial)
Risk per trade: 0.5%
Max open risk at once: 1.0%
Position sizing model: ATR risk (stop distance sets size)
Daily loss limit (firm): 5%
My personal daily stop (buffer): 3%
Maximum drawdown (firm): 10%
My “risk-down mode” trigger: 6% total drawdown (cut risk per trade to 0.25%)
Max trades per day: 3
After 1 loss: stop for 20 minutes; no instant re-entry
After 2 losses: stop trading for the day
If I break a rule: 24-hour reset (no trading)
My “pace” rule (avoid one-day spikes): no scaling up after a green day; keep risk per trade fixed for the week
My daily profit cap (optional): 2R (stop after hitting 2R unless a pre-planned A+ continuation setup appears)
My rule: I won’t increase risk after a green day
What worked (one sentence): break-and-retest continuation performed best in trend conditions
What failed (one sentence): late entries after missing the first move
One change for next week: no trades outside session window
A plan gets followed when it’s short, specific, and designed for your worst emotional state, not your best. Use one setup, define entry and exit criteria in plain language, and lock in a fixed risk per trade so you don’t improvise after losses. Then add one buffer rule (personal daily stop) that protects you from rule violations when execution is messy. Finally, review weekly with one change only–constant tinkering breaks consistency.
A prop trading plan should include the normal elements (setup, entry criteria, exit criteria), plus a prop overlay: daily loss limit buffer, maximum drawdown buffer, and a behavior rule that stops revenge trading. The plan should also include max trades per day and a risk-down mode trigger so you reduce size before you get close to a violation. If your program uses a consistency rule, add a pacing rule so a big day doesn’t push you into risky behavior later.
Start by understanding how daily drawdown is measured (often by equity, not only closed trades), then build a personal stop that’s smaller than the official limit. The simplest approach is to set your daily stop 1–2% inside the firm limit and stop trading when hit, even if you feel “close to getting it back.” This reduces the chance that slippage, late entries, or a second emotional sequence pushes you into a breach.
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