PROCESS INTERMEDIATE
How to Journal a Trade
This lesson explains how to document an individual trade from preparation through completion. You will learn how to record the market context, model used, entry reasoning, risk, execution, management decisions, emotional state, screenshots, and final result. By the end of this lesson, you should be able to separate a good decision from a profitable outcome, identify repeated execution mistakes, and create consistent journal data that can later be used to improve your trading process.
What Is a Trading Journal?
A trading journal is a structured record of the decisions, conditions, actions, emotions, and results connected to a trade.
A complete journal should explain:
• What the trader saw before entering
• Why the trade appeared valid
• Which trading model was used
• Where the trade would become invalid
• How much money was at risk
• How the position was managed
• How the trader felt throughout the trade
• Why the trade was closed
• Whether the rules were followed
• What can be learned from the result
A journal is not simply a list of profits and losses.
The financial result tells the trader what happened to the account.
The journal helps explain why it happened.
- A Trade Log Is Not a Complete Journal
A trade log may contain:
Date:
NQ long
Entry:
20,000
Exit:
20,050
Profit:
$200
This information is useful, but incomplete.
It does not explain:
• Why the trader entered
• Whether the setup was valid
• What the higher-timeframe market was doing
• Where the stop was located
• Whether the trader followed the management plan
• Whether the position was oversized
• Whether the trader entered because of FOMO
• Whether the trader exited early from fear
A complete journal combines numerical trade data with decision-making context.
- Why Journaling Matters
Without a journal, traders often rely on memory.
Memory is influenced by:
• Emotion
• Recency
• Confidence
• Financial results
• Hindsight
• Personal bias
A trader may remember a losing trade as a bad setup simply because it lost.
A winning trade may be remembered as perfect even though the trader broke several rules.
The journal creates evidence that can be reviewed after the emotions have decreased.
- Memory Rewrites Trades
After price reaches the target, the setup may appear obvious.
The trader may forget that before entry:
• The market was unclear
• The confirmation was incomplete
• The stop location was uncertain
• Another direction was possible
After a loss, the trader may believe the failure should have been obvious.
This is hindsight.
A journal created before and during the trade preserves what the trader actually knew at the time.
- Journaling Creates Accountability
A written journal makes the trader answer specific questions.
Was the setup valid?
Was the position size correct?
Did I follow my stop?
Did I enter inside the correct trading window?
Did I move the stop?
Did I chase?
Did I take the trade because I was bored?
It becomes more difficult to describe a trade as disciplined when the recorded information shows that the rules were ignored.
- Journaling Creates Usable Data
One trade provides limited information.
A properly recorded group of trades can reveal patterns.
Examples include:
• Long trades perform better than short trades
• Trades after 11:00 AM perform poorly
• Entries near equilibrium have negative expectancy
• The second trade of the day performs worse
• Losses increase when the trader sleeps poorly
• Early exits reduce average winners
• Position size increases after losses
The journal turns individual experiences into measurable data.
- Journal Every Trade
Every completed trade should be recorded.
This includes:
• Winners
• Losses
• Break-even trades
• Partial winners
• Valid setups
• Invalid setups
• Emotional trades
• Oversized trades
• Re-entries
• Trades taken outside the plan
A trader who records only important or successful trades creates an incomplete picture.
- Do Not Hide Rule Violations
A rule-breaking trade may feel embarrassing.
It is also one of the most important trades to document.
Hiding the trade prevents the trader from measuring:
• The financial cost of overtrading
• The cost of moving stops
• The cost of chasing
• The effect of emotional size changes
• The frequency of discipline problems
The journal is not a place to appear perfect.
It is a place to become accurate.
- Journal Missed Trades Separately
A missed trade is not a completed trade, but it may still deserve a journal entry.
A missed trade can reveal:
• Hesitation
• Platform problems
• Poor preparation
• Entry rules that are too subjective
• Fear of loss
• A limit order that did not fill
• A valid decision not to chase
The missed trade should not be recorded as a financial winner.
It should be classified separately as an observation or missed opportunity.
- Journal No-Trade Decisions
A no-trade journal entry may record:
• Market condition
• Important levels
• Why no setup qualified
• Emotional urges to enter
• Whether remaining flat protected the account
No-trade decisions are part of the trading process.
The trader should develop evidence that following a no-trade rule is productive.
- Journal in Three Stages
A complete trade journal can be divided into:
Stage 1:
Before the trade
Stage 2:
During the trade
Stage 3:
After the trade
Each stage answers different questions.
Before the trade
Why is this opportunity being considered?
During the trade
How is the trader responding while risk is active?
After the trade
What happened, were the rules followed, and what can be learned?
- Record the Trade Before Entering
The pre-trade section should be completed before the order is placed whenever possible.
This prevents the trader from creating reasons after the trade is already active.
At minimum, record:
• Market
• Model used
• Direction
• Entry
• Stop
• Target
• Total risk
• Reason for entry
• Invalidation
• Screenshot
The trader should not enter first and then decide why the trade made sense.
- Date and Time
Every journal entry should include:
Date:
Entry time:
Exit time:
Time zone:
Trade duration:
Time information allows the trader to analyze performance by:
• Day of week
• Time of day
• Session
• Trading window
• Time held
Without consistent time-zone information, trades can be grouped incorrectly.
- Market and Contract
Record the exact market traded.
Examples:
• NQ
• MNQ
• ES
• MES
• GC
Also record the contract month when relevant.
The same strategy may behave differently across markets.
Contract specifications also affect:
• Point value
• Position size
• Fees
• Stop risk
- Account Type
Record the account used.
Possible account types include:
• Simulation
• Personal live account
• Evaluation account
• Funded account
• Payout-eligible account
Account type may affect the trader’s emotions and decisions.
A trader may follow the plan in simulation but become fearful in a payout account.
Recording the account type makes this difference measurable.
- Record the Trading Model Used
The journal should include a field called:
Model Used
The trader should write the name of the model or setup used for the trade.
Examples may include:
• Higher-timeframe continuation
• Support reaction
• Resistance reaction
• Range breakout
• Liquidity sweep reversal
• A named personal trading model
The journal should not force every trade into a model that does not actually fit.
If no defined model was present, record:
No valid model
This makes unplanned trades easier to identify.
- Setup Version
If the model changes, record the version being traded.
Example:
Model 1.0
Original rules
Model 1.1
Updated target rule
Model 1.2
New time filter
Trades from different strategy versions should not be combined without identification.
Otherwise, the trader may analyze results from several different systems as though they were one strategy.
- Direction
Record:
• Long
• Short
Direction allows the trader to compare:
• Long win rate
• Short win rate
• Long expectancy
• Short expectancy
• Emotional comfort by direction
A trader may discover that one direction is being executed differently from the other.
- Session
Record the session or trading period.
Examples include:
• Asia
• London
• New York premarket
• New York morning
• New York afternoon
• Overnight
The exact session definitions should match those used in the trading plan.
- Higher-Timeframe Context
The journal should explain the broader market condition before entry.
Record:
Four-hour structure:
One-hour structure:
Primary bias:
Protected high:
Protected low:
Market condition:
Possible market conditions include:
• Bullish trend
• Bearish trend
• Pullback
• Retracement
• Range
• Consolidation
• Transition
• Unclear
This information helps determine whether the trade aligned with or opposed the broader structure.
- Bias Should Be Written Objectively
Weak journal note:
“I knew it was going up.”
Stronger journal note:
“The four-hour chart was creating higher highs and higher lows. Price remained above the protected low and was pulling back toward one-hour support.”
The stronger note records visible evidence.
The journal should avoid rewriting confidence as analysis.
- Record Whether the Trade Aligned With Bias
Use a clear field:
Bias Alignment:
• Aligned
• Countertrend
• Neutral
• Unclear
A countertrend trade is not automatically invalid.
It should be identified honestly because its behavior and target expectations may differ from trend-aligned trades.
- Market Location
Record where price was located before entry.
Possible labels include:
• Higher-timeframe support
• Higher-timeframe resistance
• Discount
• Premium
• Equilibrium
• Range high
• Range low
• Middle of range
• Breakout area
• Retest area
• Extended
Location is important because the same confirmation can produce different results depending on where it forms.
- Dealing Range Information
When relevant, record:
Range high:
Range low:
Equilibrium:
Current price location:
Range timeframe:
Range purpose:
The range should already be identified before the trade.
Do not create a new range after the result simply to make the entry appear favorable.
- Support and Resistance
Record the important zone connected to the setup.
Level type:
Price zone:
Timeframe:
Fresh or previously tested:
Reaction expected:
Examples include:
• Four-hour support
• One-hour resistance
• Previous day high
• Previous day low
• Range boundary
The journal should explain why the level was important.
- Liquidity Context
Record the liquidity relevant to the setup.
Possible fields include:
Buy-side liquidity above:
Sell-side liquidity below:
Liquidity taken before entry:
Liquidity target:
Possible classifications include:
• Previous day high
• Previous day low
• Equal highs
• Equal lows
• Session high
• Session low
• Swing high
• Swing low
Liquidity should be treated as context, not an automatic entry reason.
- Important Opening Prices
When relevant, record price relative to:
• Midnight open
• 9:30 AM open
• 10:00 AM open
• Futures session open
Example:
“Price was above the midnight open but below the 9:30 open.”
This creates useful context without turning the open into an automatic signal.
- Economic News
Record:
Scheduled event:
Event time:
Trade entered before or after event:
News restriction followed:
Unexpected news:
The trader should be able to review whether losses or slippage were concentrated around economic events.
- Record the Setup Requirements
The journal should contain the checklist used to qualify the trade.
Each required condition should be answered:
• Yes
• No
• Not applicable
Possible categories include:
• Correct market
• Correct trading window
• Higher-timeframe condition
• Meaningful location
• Liquidity condition
• Confirmation complete
• Valid stop
• Realistic target
• Minimum risk-to-reward
• News rule followed
The exact checklist depends on the model used.
- Do Not Grade the Checklist After the Trade
The checklist should be completed before the outcome is known.
After a winning trade, the trader may be tempted to mark every condition yes.
After a loss, the trader may decide the setup was incomplete.
The pre-trade checklist preserves the original decision.
- Entry Confirmation
Record the exact evidence that caused the trader to enter.
Possible confirmation may include:
• Candle close
• Rejection
• Displacement
• Structure break
• Breakout
• Retest
• Acceptance
The note should be specific.
Weak note:
“Good confirmation.”
Stronger note:
“A five-minute bullish candle closed above the recent lower-timeframe swing high and was followed by continued movement away from support.”
- Entry Price
Record:
Planned entry:
Actual entry:
Difference:
Order type:
• Market
• Limit
• Stop order
The difference between planned and actual entry may reveal:
• Slippage
• Chasing
• Hesitation
• Late execution
• Poor order placement
- Entry Slippage
Example:
Planned entry:
20,000
Actual entry:
20,004
Entry slippage:
Four points
For one MNQ contract:
4 × $2 = $8 of additional exposure
For five MNQ contracts:
4 × $2 × 5 = $40
Small execution differences can become significant when repeated.
- Stop-Loss Price
Record:
Initial stop:
Stop distance:
Reason for stop:
Technical invalidation:
The stop should be connected to the trade idea.
Weak reason:
“I did not want to lose more than $100.”
Stronger reason:
“The long setup became invalid below the support zone and the swing low that produced the confirmation.”
- Financial Risk
Record risk in several forms.
Risk in points:
Risk per contract:
Number of contracts:
Total planned price risk:
Estimated fees:
Estimated total risk:
Risk as a percentage of usable account room:
This prevents the trader from evaluating risk only through the account’s displayed balance.
- Position Size
Record:
Planned contracts:
Actual contracts:
Reason for any difference:
If position size changed from the normal amount, explain why.
Valid reason:
“The technical stop was wider, so the number of contracts was reduced.”
Invalid reason:
“I was confident and wanted to make more.”
- Target Price
Record:
Primary target:
Target type:
Potential reward in points:
Potential reward in dollars:
Potential R:
Possible target types include:
• Fixed R-multiple
• Previous high or low
• Session liquidity
• Range boundary
• Model-specific target
The target should be selected before the result.
- Obstacles Before the Target
Record any level price must move through before reaching the target.
Examples include:
• Support
• Resistance
• Equilibrium
• Session high
• Session low
• Previous day level
A mathematically attractive target may be unrealistic if several major obstacles are ignored.
- Planned Risk-to-Reward
Record:
Stop distance:
Target distance:
Planned risk-to-reward:
Example:
Stop distance:
20 points
Target distance:
60 points
Planned risk-to-reward:
1:3
The journal should later compare the planned ratio with the actual result.
- Write a Trade Thesis
The trade thesis should be a short paragraph explaining why the trade is valid.
A useful thesis includes:
• Higher-timeframe context
• Location
• Setup condition
• Confirmation
• Target
• Invalidation
Example
“The four-hour structure was bullish and price had pulled back into one-hour support inside the discount portion of the current range. Sell-side liquidity below the London low was taken, and a five-minute bullish displacement candle broke the recent lower-timeframe swing high. The long idea targeted buy-side liquidity above the premarket high and became invalid below the support reaction low.”
- Write the Invalidation Statement
The journal should include one direct sentence:
“This trade is invalid if…”
Example:
“This trade is invalid if price closes below the support zone and remains below the reaction low.”
This helps prevent the trader from changing the definition once the position begins losing.
- Save a Pre-Trade Screenshot
The pre-trade screenshot should show:
• Current price
• Higher-timeframe context
• Important levels
• Entry
• Stop
• Target
• Liquidity
• Confirmation
The screenshot should be taken before future price action is revealed whenever possible.
- Screenshot Multiple Timeframes
A complete journal may include:
• Higher-timeframe screenshot
• Setup-timeframe screenshot
• Entry-timeframe screenshot
Each screenshot has a purpose.
The higher timeframe explains context.
The lower timeframe explains execution.
Avoid uploading several charts that add no new information.
- Label the Screenshot
Useful labels include:
• Bias
• Support
• Resistance
• Liquidity
• Entry
• Stop
• Target
• Invalidation
The chart should be understandable during later review.
Too many drawings can make the screenshot difficult to interpret.
- Record Emotional State Before Entry
Before entering, record emotions such as:
• Calm
• Patient
• Confident
• Anxious
• Hesitant
• Frustrated
• Excited
• Bored
• Desperate
Also record intensity.
Example:
Anxiety:
6 out of 10
Confidence:
7 out of 10
FOMO:
2 out of 10
The goal is not to remove emotion.
The goal is to identify whether certain emotional states repeatedly affect execution.
- Record the Reason for the Emotion
Do not record only:
“Nervous.”
Explain:
“I was nervous because the previous trade lost and this was the second permitted attempt.”
The reason helps reveal whether the emotion came from:
• The market
• Account pressure
• Previous results
• Position size
• Lack of preparation
• Personal circumstances
- Record Physical State
Physical conditions may influence decision-making.
Possible fields include:
Sleep:
Energy:
Hunger:
Pain:
Caffeine:
Focus:
A trader may discover that poor performance is concentrated on days with low sleep or high physical stress.
- Record Confidence in the Setup
Use a defined rating scale.
Example:
1:
Setup barely meets the rules
3:
Valid but average setup
5:
Strong setup with all required conditions
The rating must be assigned before the result.
Do not give winners a higher score afterward.
- During-Trade Journaling
During the trade, the trader may record short observations.
Examples:
10:15 AM:
Price moved 1R in my favor. No management condition reached.
10:22 AM:
Price pulled back toward entry. I felt the urge to move the stop.
10:30 AM:
Management rule triggered. Stop moved according to plan.
The notes should not distract from execution.
They should capture important decisions and emotions.
- Do Not Over-Journal During Execution
Writing long paragraphs while the position is active may reduce attention.
During the trade, record only:
• Major management decision
• Major emotional reaction
• Rule change
• Unexpected event
The complete explanation can be added after the trade closes.
- Track the Trade’s Maximum Risk
Record the largest actual open loss during the trade.
This can be measured in:
• Points
• Dollars
• R
This information becomes the maximum adverse excursion.
- Maximum Adverse Excursion
Maximum adverse excursion, or MAE, is the farthest price moved against the position before the trade ended.
Example:
Long entry:
20,000
Lowest price while trade was active:
19,988
MAE:
12 points
Initial risk:
20 points
MAE in R:
12 ÷ 20 = 0.6R
MAE helps evaluate:
• Stop placement
• Entry timing
• Emotional tolerance
• Whether trades regularly approach the stop before winning
- Maximum Favorable Excursion
Maximum favorable excursion, or MFE, is the farthest price moved in the trade’s favor before the trade ended.
Example:
Long entry:
20,000
Highest price while trade was active:
20,070
MFE:
70 points
Initial risk:
20 points
MFE in R:
70 ÷ 20 = 3.5R
If the trader exited at only 1R, the journal can show how much favorable movement was available.
- MFE Does Not Prove the Trader Should Have Held Longer
Suppose the trade’s MFE was:
5R
The planned target was:
2R
The trader exited correctly at 2R.
The fact that price later reached 5R does not automatically make the exit wrong.
The trade should be judged according to the management plan that existed at the time.
MFE supports future research.
It should not be used to criticize every completed trade with hindsight.
- MAE Does Not Prove the Stop Should Be Smaller
Suppose a winning trade had an MAE of only:
0.2R
This does not prove the stop should have been reduced for that trade.
Stop changes should be tested across a meaningful sample.
A smaller stop may remove other winners.
- Record Management Decisions
For each management action, record:
Time:
Price:
Action:
Reason:
Was the action planned?
Examples include:
• Stop moved to break even
• Partial profit taken
• Stop trailed
• Target changed
• Position closed early
• Additional contracts added
The journal should clearly separate planned management from emotional management.
- Adding to a Position
If contracts are added, record:
Original entry:
Added entry:
Contracts added:
New average entry:
Additional risk:
New total open risk:
Reason for adding:
Adding should be part of a defined strategy.
It should not be used to rescue a losing trade emotionally.
- Scaling Out
If partial profits are taken, record every exit.
Example:
Four contracts entered.
Two contracts exited at:
+1R
Two contracts exited at:
+3R
Weighted trade result:
(2 × 1R + 2 × 3R) ÷ 4
(2R + 6R) ÷ 4
8R ÷ 4 = +2R
The journal should calculate the real average result.
- Break-Even Management
Record:
Break-even rule:
Price condition reached:
Time stop moved:
Actual new stop:
Was the move planned?
If the trader moved to break even only because of fear, record that honestly.
- Early Exit
If the trader exits before the planned target, record:
Exit price:
Reason:
Market evidence:
Emotional reason:
Was the exit allowed by the plan?
Possible valid reasons include:
• Trade invalidated before the stop according to a tested rule
• Major news approaching
• Time-based exit reached
• Management condition completed
Possible emotional reasons include:
• Fear of giving back profit
• Watching dollar P&L
• Previous loss
• Lack of confidence
- Moving the Stop Farther Away
If the stop is moved farther from entry, record:
Original stop:
New stop:
Original risk:
New risk:
Reason:
This is a serious rule violation unless the model specifically permits the adjustment.
The journal should show the exact financial cost of the decision.
- Record Emotional State During the Trade
Possible emotions include:
• Fear
• Hope
• Greed
• Impatience
• Confidence
• Regret
• Relief
• Panic
Record when the emotion changed.
Example
Before entry:
Calm
At +1R:
Excited
During pullback:
Fearful
Near target:
Greedy and considered extending the target
The sequence may reveal which stage creates the most execution problems.
- Record Physical Reactions During the Trade
Possible signs include:
• Rapid breathing
• Tight shoulders
• Sweating
• Jaw tension
• Restlessness
• Repeatedly moving the stop
• Inability to look away from P&L
Physical reactions can reveal that position size is emotionally too large even when it appears mathematically acceptable.
- Exit Time and Exit Price
After the trade closes, record:
Exit time:
Exit price:
Exit type:
• Stop loss
• Profit target
• Manual exit
• Time exit
• Partial exit
• Platform liquidation
• Account-rule closure
The exit type affects how the result should be interpreted.
- Result in Points
For a long trade:
Exit price − entry price
For a short trade:
Entry price − exit price
Long example
Entry:
20,000
Exit:
20,050
Result:
+50 points
Short example
Entry:
20,200
Exit:
20,150
Result:
+50 points
- Result in Dollars
Dollar result depends on:
• Points gained or lost
• Contract value
• Number of contracts
• Partial exits
• Fees
• Slippage
Example
Three MNQ contracts
Profit:
40 points
Gross profit:
40 × $2 × 3 = $240
Fees:
$12
Net result:
$240 − $12 = $228
- Result in R
Result in R compares the outcome with the initial planned risk.
Example:
Planned risk:
$120
Net profit:
$300
Result:
$300 ÷ $120 = +2.5R
Loss example
Planned risk:
$120
Actual loss:
$150
Result:
−$150 ÷ $120 = −1.25R
The loss exceeded the planned amount.
- Gross Result Versus Net Result
Record both.
Gross result:
Profit or loss before fees
Net result:
Gross result after commissions, fees, and slippage
Example
Gross profit:
$200
Fees:
$10
Net profit:
$190
The journal should use net results when evaluating actual profitability.
- Record Slippage
Slippage can occur during:
• Entry
• Stop exit
• Market exit
• News
• Fast movement
Record:
Expected fill:
Actual fill:
Difference in points:
Dollar effect:
Repeated slippage may reveal that the strategy’s theoretical results are unrealistic under live conditions.
- Record the Planned and Actual Result
Planned outcome:
1:3 target
Actual outcome:
+1.2R manual exit
The difference should be explained.
Possible reasons include:
• Partial profits
• Early exit
• Stop movement
• Slippage
• Target not reached
• Rule violation
This comparison shows whether management is changing the strategy’s expectancy.
- Save an Exit Screenshot
The exit screenshot should show:
• Entry
• Stop
• Target
• Actual exit
• Maximum favorable movement
• Maximum adverse movement
• Relevant price action after entry
The screenshot should not be edited to make the trade appear cleaner than it was.
- Save a Later Outcome Screenshot Carefully
A later screenshot may show what happened after the trade ended.
This can help evaluate:
• Target selection
• Early exits
• Stop placement
• Continuation
However, the later outcome should not change the process grade.
A correct exit remains correct even if price later moved farther.
- Separate Outcome From Process
Every trade should receive two separate evaluations.
Outcome:
• Win
• Loss
• Break even
Process:
• Followed plan
• Minor violation
• Major violation
A winning trade can have poor process.
A losing trade can have excellent process.
- The Four Trade Categories
Every trade can be placed into one of four categories.
Category 1:
Good trade, winning outcome
The setup was valid, the plan was followed, and the trade won.
Category 2:
Good trade, losing outcome
The setup was valid, the plan was followed, and the trade lost.
Category 3:
Bad trade, winning outcome
The rules were broken, but the trade made money.
Category 4:
Bad trade, losing outcome
The rules were broken and the trade lost.
Category 3 can be especially dangerous because profit may reward poor behavior.
- A Valid Loss
A valid loss may include:
• Correct setup
• Correct entry
• Correct position size
• Correct stop
• Correct target
• No management violations
• Full planned loss
The result is negative.
The process remains acceptable.
The trader should not automatically change the strategy because one valid trade lost.
- A Bad Win
A bad win may include:
• FOMO entry
• Oversized position
• No stop
• Entry outside the trading window
• Emotional re-entry
• Random target
• Rule violation
The account gained money.
The process was dangerous.
The journal should not give this trade a high grade.
- Process Scoring
A process score may use a consistent scale.
Example
5:
All rules followed
4:
One minor execution issue
3:
Valid setup with meaningful management mistake
2:
Several rules broken
1:
No valid setup or major risk violation
The score should measure behavior, not profit.
- Checklist Compliance Score
Another method calculates:
Rules followed ÷ total required rules × 100
Example
Required rules:
Ten
Rules followed:
Eight
Compliance:
8 ÷ 10 × 100 = 80 percent
The trader may later compare performance among:
• 100 percent compliant trades
• 80 to 99 percent compliant trades
• Below 80 percent compliant trades
- Emotional-Control Score
A separate score may measure:
• Patience
• Risk acceptance
• Ability to avoid moving stops
• Ability to follow the target
• Ability to avoid P&L fixation
Example:
1:
Emotion controlled the trade
5:
Emotion was present but rules remained unchanged
The goal is not emotional numbness.
The goal is behavioral control.
- Setup Quality Score
Setup quality should be based on predefined criteria.
Possible categories include:
• Higher-timeframe clarity
• Location quality
• Confirmation quality
• Target room
• Risk clarity
The score should be assigned before the outcome.
A winner should not automatically receive a high setup score.
- Record Rule Violations
Use specific violation tags.
Examples include:
• Chased entry
• Entered early
• Entered before candle close
• Oversized
• Stop moved wider
• Target changed emotionally
• Exited early from fear
• Revenge trade
• FOMO trade
• Outside trading window
• News violation
• Exceeded trade limit
Specific tags are more useful than writing:
“Bad discipline.”
- Record Positive Behaviors
Also tag successful behaviors.
Examples include:
• Waited for confirmation
• Reduced position size
• Accepted full loss
• Avoided chasing
• Followed cooldown
• Stopped at daily limit
• Held to planned target
• Stayed flat during poor conditions
The journal should reinforce good behavior, not only criticize mistakes.
- Record One Main Lesson
After every trade, write one main lesson.
The lesson should be specific and actionable.
Weak lesson:
“Do better.”
Stronger lesson:
“Complete the position-size calculation before placing the order because I entered four contracts when the stop allowed only three.”
- Do Not Invent a New Lesson After Every Loss
Not every losing trade requires a strategy change.
A valid loss may produce the lesson:
“No rule change required. The setup was valid and the planned loss was accepted.”
Constantly creating new filters after losses can lead to overfitting.
- Record What Was Done Well
Complete:
What did I do well?
Examples include:
• Waited for location
• Followed the stop
• Avoided re-entry
• Reduced size
• Accepted no trade
Recognizing successful behavior helps the trader repeat it.
- Record What Needs Improvement
Complete:
What needs improvement?
The answer should focus on controllable behavior.
Examples:
• Wait for the candle close
• Stop watching dollar P&L
• Do not extend the target after entry
• Complete the news check
Avoid vague statements such as:
“Be more profitable.”
- Create a Next-Trade Action
Every improvement should become an action.
Lesson:
“I chased.”
Action:
“If the entry area is missed, I will wait for a new setup and will not enter more than the maximum allowed distance from the planned location.”
Lesson:
“I moved the stop wider.”
Action:
“I will use an automated bracket order and will not move the stop farther from entry.”
- Journal Immediately After the Trade
The journal should be completed while the trade is still fresh.
Waiting until the weekend may cause the trader to forget:
• Emotional reactions
• Reasons for management decisions
• The exact chart context
• Whether the entry was planned
The basic entry should be completed immediately.
A deeper review can occur later.
- Do Not Journal Only When Emotional
Some traders journal extensively after losses and barely record winners.
This creates uneven data.
Winners also need review because they may contain:
• Poor risk
• Early entries
• Rule violations
• Overconfidence
• Unsustainable management
Use the same journal structure for every trade.
- Structured Fields Versus Written Notes
Structured fields make analysis easier.
Examples include:
Direction:
Long
Bias alignment:
Aligned
Location:
Discount
Result:
+2R
Written notes explain context.
Example:
“Price swept the London low inside one-hour support before producing bullish displacement.”
A strong journal uses both.
Only free-form writing can become difficult to analyze.
Only numerical fields can lose important context.
- Use Consistent Labels
Do not label the same condition differently each week.
Example:
• Bull trend
• Bullish market
• HTF up
• Long structure
These may all describe the same category.
Select one consistent label such as:
Bullish trend
Consistent labels make filtering and analysis more accurate.
- Avoid Too Many Categories
A journal with hundreds of tags may become difficult to complete.
Begin with the fields most connected to:
• Strategy rules
• Risk
• Execution
• Emotions
• Results
Additional fields should be added only when they answer a useful question.
- Required Journal Fields
A practical required journal may include:
• Date
• Market
• Account
• Model used
• Direction
• Session
• Higher-timeframe bias
• Market condition
• Location
• Entry
• Stop
• Target
• Position size
• Planned risk
• Planned R
• Actual result
• Result in R
• Fees
• MFE
• MAE
• Emotional state before, during, and after
• Rule compliance
• Screenshots
• Lesson
- Optional Journal Fields
Optional fields may include:
• Overnight range
• Day of week
• News event
• Premium or discount
• Liquidity type
• Trade duration
• Setup score
• Sleep
• Physical state
• Coach-review request
Optional fields should support a specific analysis goal.
- Upload Supporting Files
A journal may allow supporting uploads such as:
• Chart screenshots
• Screen recordings
• Trade-export files
• Platform statements
• Voice notes
• Written annotations
The file should have a clear purpose.
Uploading evidence makes later review more accurate.
- Screen Recording
A screen recording can reveal behaviors that screenshots miss.
Examples include:
• Hesitation
• Repeated order changes
• Moving stops
• Watching P&L
• Entering before confirmation
• Immediate revenge re-entry
The trader does not need to record every session permanently.
Selected recordings can be useful for detailed review.
- Voice Notes
A short voice note after a trade may capture emotions more naturally than typing.
Possible questions include:
What did I feel before entry?
What changed while the trade was active?
Why did I manage it this way?
Did I follow the plan?
The voice note should later be connected to the structured journal entry.
- Coach-Review Request
When a journal is part of a mentorship system, the trader may mark whether a trade should be reviewed by a coach.
Possible field:
Request Coach Review:
• Yes
• No
The trader does not need every trade reviewed.
Review may be most useful for:
• Unclear setups
• Repeated mistakes
• Large emotional reactions
• Management questions
• Major rule violations
- Protect Private Information
Trade screenshots may contain:
• Account numbers
• Personal names
• Email addresses
• Account balances
• Provider information
Sensitive information should be hidden before sharing journal files publicly.
The educational value of the chart does not require exposing private account details.
- Do Not Use the Journal to Punish Yourself
The journal should be direct and honest.
It should not contain personal attacks such as:
• I am stupid.
• I always fail.
• I will never become profitable.
These statements do not create useful improvement.
Replace them with behavioral language.
Example:
“I entered before the confirmation candle closed. My next action is to require the completed candle before placing the order.”
- Separate Identity From Behavior
A trader is not:
• A revenge trader forever
• An undisciplined person forever
• A failure because one trade lost
The journal should identify:
What behavior occurred?
What triggered it?
What rule will interrupt it?
Behavior can be measured and changed.
- The Journal Is Not a Prediction Scorecard
Do not grade the trade based on whether the original bias predicted the final daily direction.
A trader may have a bullish bias, take a valid long, and lose before price later moves higher.
Another trader may have a bearish bias and make money on a short-term reaction during a bullish day.
The journal should evaluate the actual setup and execution.
- The Journal Is Not Only for Losing Trades
Winning trades can reveal:
• Good preparation
• Strong location
• Effective patience
• Proper risk
They can also reveal:
• Oversizing
• Lucky exits
• Rule-breaking
• Poor repeatability
Both types of information matter.
- The Journal Is Not Only for Strategy Data
A complete journal helps separate three areas.
Strategy
Did the setup have an edge?
Execution
Did the trader follow the setup correctly?
Psychology
Did emotion change the execution?
A strategy problem requires different action from a behavior problem.
- Strategy Problem Example
The trader follows every rule across 100 trades.
The sample produces:
Negative expectancy
High drawdown
Poor target achievement
The problem may be the strategy or market condition.
More discipline alone may not repair it.
- Execution Problem Example
Backtesting shows positive expectancy.
Live journal results are poor.
The journal shows:
• Early exits
• Missed entries
• Oversizing
• Stop movement
The strategy may not be the main problem.
Execution is changing the results.
- Psychological Problem Example
The trader follows rules until the first loss.
After the loss:
• Size increases
• Entries become faster
• The trade count is exceeded
The journal reveals a psychological trigger connected to losing.
The solution should target the post-loss process.
- Journal Metrics Over a Sample
After collecting enough trades, the journal can calculate:
• Total trades
• Win rate
• Average winner
• Average loser
• Expectancy
• Profit factor
• Maximum drawdown
• Longest losing streak
• Rule-compliance rate
• Average MFE
• Average MAE
• Results by model
• Results by time
• Results by emotion
Lesson 17 will explain how to review these results across a full trading day.
Common Beginner Mistake
“I won, so it was a good trade.”
Imagine a trader has the following plan:
Maximum risk:
$150
Maximum contracts:
Three MNQ contracts
Trading window:
9:30 AM to 11:30 AM
The trader misses the planned long entry.
Price begins moving higher.
The trader enters late with:
Eight MNQ contracts
No completed confirmation is present.
The trader does not place the planned stop.
Price moves higher and the trader earns:
$900
The journal entry says:
“Great trade. I trusted my analysis.”
This conclusion is dangerous.
The outcome was profitable.
The process included:
• Chasing
• Oversizing
• No valid confirmation
• Excessive risk
• No planned stop
The trade should be classified as:
Bad trade, winning outcome
If this behavior is rewarded, the trader may repeat it with larger size.
Eventually, a similar trade may create severe account damage.
The correct lesson is:
“The market moved in my direction, but I violated the entry, size, and stop rules. The profit does not make the process repeatable.”
Practical Example
Imagine a trader is journaling an MNQ long trade.
Trade Identification
Date:
July 14
Market:
MNQ
Account type:
Simulation
Model used:
Bullish support continuation
Strategy version:
1.0
Direction:
Long
Session:
New York morning
Personal Readiness
Sleep:
Seven hours
Energy:
Seven out of ten
Focus:
Eight out of ten
Emotional state:
Calm
Financial pressure:
Low
FOMO before entry:
Two out of ten
Higher-Timeframe Context
Four-hour structure:
Bullish
One-hour structure:
Bearish pullback inside bullish structure
Protected four-hour low:
20,100
Primary bias:
Bullish while 20,100 remains protected
Market Location
Bullish dealing range low:
20,100
Bullish dealing range high:
20,500
Equilibrium:
20,300
Current price before setup:
20,225
Location:
Discount
Support
One-hour support:
20,190 to 20,220
Liquidity
Sell-side liquidity:
Below London low at 20,200
Buy-side liquidity:
Above premarket high at 20,390
Liquidity taken before entry:
Price traded below 20,200 and reached 20,185
Confirmation
Price closed back above support.
A bullish five-minute displacement candle broke the recent swing high at:
20,245
Trade Thesis
“The four-hour structure remained bullish while the one-hour chart pulled back into support inside discount. Sell-side liquidity below the London low was taken, and price returned above support. A five-minute bullish displacement candle broke the recent lower-timeframe swing high. The trade targeted buy-side liquidity above the premarket high.”
Invalidation Statement
“The long idea becomes invalid if price breaks below 20,180 and remains below the support reaction.”
Trade Plan
Planned entry:
20,235
Actual entry:
20,238
Entry slippage:
Three points
Initial stop:
20,178
Stop distance:
60 points
Target:
20,418
Reward distance from actual entry:
180 points
Risk-to-Reward
Risk:
60 points
Reward:
180 points
Planned risk-to-reward:
1:3
Position Size
Maximum financial risk:
$150
Risk per MNQ contract:
60 × $2 = $120
Maximum whole-number contracts:
One
Actual position size:
One MNQ contract
Planned Price Risk
60 × $2 = $120
Estimated Fees
$4
Estimated Total Risk
Approximately $124
Emotions Before Entry
Calm:
Eight out of ten
Confidence:
Seven out of ten
Anxiety:
Three out of ten
Pre-Trade Process Score
All required conditions completed:
Yes
Setup quality:
Four out of five
Bias alignment:
Aligned
News restriction followed:
Yes
Trade inside window:
Yes
During the Trade
10:10 AM:
Price moved to 20,280.
Unrealized movement:
+42 points
The trader felt calm.
10:20 AM:
Price moved to 20,330.
Unrealized movement:
+92 points
The trader felt excited and considered moving the target farther away.
The target was not changed because the management plan did not allow it.
10:30 AM:
Price pulled back to 20,260.
The trader felt anxious because unrealized profit decreased.
The original stop remained unchanged.
10:42 AM:
Price reached:
20,418
The full target filled.
Exit Information
Exit:
20,418
Exit type:
Full profit target
Gross points:
20,418 − 20,238 = 180 points
Gross Dollar Result
180 × $2 = $360
Fees
$4
Net Result
$360 − $4 = $356
Initial Planned Risk
$120
Result in R
$356 ÷ $120 = approximately +2.97R
Maximum Favorable Excursion
Price later reached:
20,450
MFE from entry:
20,450 − 20,238 = 212 points
MFE in R
212 ÷ 60 = approximately 3.53R
Maximum Adverse Excursion
Lowest price after entry:
20,220
MAE:
20,238 − 20,220 = 18 points
MAE in R
18 ÷ 60 = 0.3R
Emotions During Trade
Before entry:
Calm
At +1R:
Confident
Near +1.5R:
Excited
During pullback:
Anxious
At target:
Relieved
Emotions After Trade
Proud of rule-following:
Eight out of ten
Urge to take another trade:
Six out of ten
Action:
Closed the platform because the daily plan ended after the first full winner.
Process Review
Valid setup:
Yes
Position size correct:
Yes
Stop followed:
Yes
Target followed:
Yes
Trade count followed:
Yes
Management plan followed:
Yes
Process score:
Five out of five
What Was Done Well?
• Waited for liquidity and confirmation
• Reduced size to one contract because the stop was wide
• Did not move the target during excitement
• Held through a normal pullback
• Stopped trading after the planned winner
What Needs Improvement?
The actual entry was three points worse than planned because the order was placed late.
Next-Trade Action
Prepare the order ticket before the confirmation candle closes so the order can be placed without unnecessary delay after confirmation.
Trade Classification
Good trade, winning outcome
Main Lesson
The trade’s strongest success was not the profit. The strongest success was maintaining the original plan while emotions changed during the position.
Alternative Result
Suppose the same valid trade reached the stop instead of the target.
If the trader had followed the exact plan, the classification would have been:
Good trade, losing outcome
The process score could still have remained five out of five.
Knowledge Check
Question 1
What is the main purpose of a trading journal?
A. To record only profit and loss
B. To document the conditions, decisions, actions, emotions, and results of trades
C. To predict the next market move
D. To remove all losses
Answer: B
Question 2
What is the difference between a trade log and a complete journal?
A. There is no difference.
B. A trade log records basic results, while a journal also records reasoning, execution, and behavior.
C. A journal records only emotions.
D. A trade log is always more detailed.
Answer: B
Question 3
Why should a trade be recorded before entry?
A. To preserve the information and reasoning available before the outcome
B. To guarantee the target
C. To increase position size
D. To avoid using a stop
Answer: A
Question 4
What should be entered in the Model Used field?
A. The trader’s desired profit
B. The defined model or setup used for the trade
C. The result of the previous trade
D. The account balance
Answer: B
Question 5
What should be recorded if no defined model was present?
A. The closest winning model
B. No valid model
C. A random setup name
D. Nothing
Answer: B
Question 6
Why should the strategy version be recorded?
A. To prevent results from different rule sets being combined unknowingly
B. To increase win rate
C. To remove fees
D. To change the contract value
Answer: A
Question 7
Which information belongs in higher-timeframe context?
A. Only the entry candle color
B. Structure, bias, protected levels, and market condition
C. Only the final P&L
D. The trader’s profit goal
Answer: B
Question 8
Why should market location be recorded?
A. The same confirmation can behave differently at support, resistance, premium, discount, or equilibrium.
B. Location guarantees the trade wins.
C. Location replaces risk management.
D. Location determines account fees.
Answer: A
Question 9
What is a trade thesis?
A. A short explanation connecting context, location, confirmation, target, and invalidation
B. The final dollar result
C. A list of emotions only
D. A prediction that price must move in one direction
Answer: A
Question 10
What is an invalidation statement?
A. A sentence explaining what price behavior makes the trade idea no longer valid
B. A reason to move the stop farther away
C. The desired daily profit
D. The previous day high
Answer: A
Question 11
What is MAE?
A. The greatest amount price moved against the trade before it ended
B. The final target
C. The total fees
D. The maximum account balance
Answer: A
Question 12
What is MFE?
A. The greatest amount price moved in the trade’s favor before it ended
B. The initial stop
C. The minimum account balance
D. The trader’s emotional score
Answer: A
Question 13
Does a large MFE automatically prove the trader exited incorrectly?
A. Yes
B. No, the exit should first be judged against the tested management plan.
C. Only on winning trades
D. Only when the target was fixed
Answer: B
Question 14
Why should management decisions be recorded?
A. They can change the strategy’s actual expectancy and reveal emotional behavior.
B. They do not affect results.
C. They only matter on losing trades.
D. They determine the market direction.
Answer: A
Question 15
What is a valid loss?
A. Any losing trade
B. A losing trade where the setup and execution followed the plan
C. A trade without a stop
D. A revenge trade that loses
Answer: B
Question 16
What is a bad win?
A. A profitable trade created through rule-breaking or uncontrolled risk
B. A valid trade that reaches the target
C. A small profitable trade
D. A trade with fees
Answer: A
Question 17
Why should outcome and process be scored separately?
A. A winning trade can have poor process, and a losing trade can have strong process.
B. Every winner has good process.
C. Every loss has poor process.
D. Process does not affect future results.
Answer: A
Question 18
What should a process score measure?
A. Whether the trade made money
B. Whether the trader followed the defined rules
C. The size of the target
D. The previous day trend
Answer: B
Question 19
Why should rule violations use specific tags?
A. Specific tags allow repeated behavioral patterns to be measured.
B. General labels are always more accurate.
C. Tags guarantee improvement.
D. Tags reduce commissions.
Answer: A
Question 20
Which is a stronger journal lesson?
A. I need to be better.
B. I entered before the candle closed, so I will require a completed candle before placing the order.
C. The market was unfair.
D. I need the next trade to win.
Answer: B
Question 21
Why should positive behaviors also be recorded?
A. To identify and repeat actions that support disciplined execution
B. To hide mistakes
C. To guarantee future profit
D. To increase the trade count
Answer: A
Question 22
Should a strategy be changed after every valid loss?
A. Yes
B. No, changes should be based on evidence across a meaningful sample.
C. Only after one large loss
D. Only if the bias was wrong
Answer: B
Question 23
Why should journal labels remain consistent?
A. Consistent labels make filtering and analysis more accurate.
B. Different labels create larger samples.
C. Labels change market behavior.
D. Consistency removes all subjectivity.
Answer: A
Question 24
What can a screen recording reveal that screenshots may not?
A. Hesitation, order changes, and emotional execution behavior
B. Future market prices
C. Guaranteed trade entries
D. The correct higher-timeframe bias
Answer: A
Question 25
What are the three main areas a journal should help separate?
A. Strategy, execution, and psychology
B. Price, volume, and time only
C. Entry, target, and profit only
D. Broker, account, and platform only
Answer: A
Lesson Assignment
Complete this assignment before moving to Lesson 17.
Part 1: Define the Terms
Write one or two sentences explaining each term in your own words:
• Trading journal
• Trade log
• Trade thesis
• Invalidation statement
• Model used
• Strategy version
• Process score
• Checklist compliance
• Maximum favorable excursion
• Maximum adverse excursion
• Valid loss
• Bad win
• Rule violation
• Bias alignment
Part 2: Build Your Required Journal Fields
Create fields for:
• Date
• Entry time
• Exit time
• Time zone
• Market
• Contract
• Account type
• Model used
• Strategy version
• Direction
• Session
• Higher-timeframe structure
• Bias
• Bias alignment
• Market condition
• Location
• Support or resistance
• Liquidity
• Economic news
• Confirmation
• Entry
• Stop
• Target
• Position size
• Planned risk
• Planned risk-to-reward
• Actual result
• Result in R
• Fees
• Slippage
• MFE
• MAE
• Emotional state
• Process score
• Rule violations
• Screenshots
• Main lesson
Part 3: Create a Pre-Trade Checklist
Write yes-or-no questions covering:
• Correct model
• Correct market
• Correct trading window
• Higher-timeframe condition
• Bias
• Meaningful location
• Liquidity
• Confirmation completed
• Candle closed
• Entry defined
• Stop defined
• Target defined
• Position size calculated
• Risk within limit
• Risk-to-reward acceptable
• News rule followed
Do not enter unless every required condition is satisfied.
Part 4: Write Three Trade Theses
Create:
• One bullish thesis
• One bearish thesis
• One neutral no-trade thesis
Each thesis should include:
• Structure
• Location
• Liquidity
• Confirmation requirement
• Target
• Invalidation
Part 5: Invalidation Practice
Write invalidation statements for:
• A long trade from support
• A short trade from resistance
• A bullish breakout
• A bearish breakdown
• A range-bound trade
Avoid vague statements such as:
“The trade is invalid if it looks wrong.”
Part 6: Risk Calculation Practice
Scenario A
MNQ long
Entry:
20,000
Stop:
19,980
Contracts:
Three
Stop distance:
20 points
Risk per contract:
20 × $2 = $40
Total price risk:
20 × $2 × 3 = $120
Scenario B
NQ short
Entry:
20,200
Stop:
20,215
Contracts:
One
Stop distance:
15 points
Total price risk:
15 × $20 = $300
Scenario C
MES long
Entry:
6,000
Stop:
5,990
Contracts:
Four
Stop distance:
10 points
Risk per contract:
10 × $5 = $50
Total risk:
10 × $5 × 4 = $200
Part 7: R-Multiple Practice
Scenario A
Planned risk:
$100
Net profit:
$250
Result:
+$250 ÷ $100 = +2.5R
Scenario B
Planned risk:
$150
Net loss:
$150
Result:
−1R
Scenario C
Planned risk:
$120
Net loss:
$156
Result:
−$156 ÷ $120 = −1.3R
The actual loss exceeded the plan.
Part 8: MFE and MAE Practice
Long entry:
20,000
Initial stop:
19,980
Price reaches a low of:
19,990
Price later reaches a high of:
20,070
Initial risk:
20 points
MAE:
20,000 − 19,990 = 10 points
MAE in R:
10 ÷ 20 = 0.5R
MFE:
20,070 − 20,000 = 70 points
MFE in R:
70 ÷ 20 = 3.5R
Part 9: Weighted Partial Exit
Four contracts entered.
One contract exits at:
+1R
Two contracts exit at:
+2R
One contract exits at:
+4R
Calculation:
One contract × 1R = 1R
Two contracts × 2R = 4R
One contract × 4R = 4R
Total:
1R + 4R + 4R = 9R
Weighted result:
9R ÷ 4 contracts = +2.25R
Part 10: Emotion Tracking
Create one-to-ten ratings for:
• Calmness
• Anxiety
• Confidence
• FOMO
• Frustration
• Greed
• Patience
• Urge to move the stop
Record the ratings:
• Before entry
• During the trade
• After exit
Then explain what caused any major emotional change.
Part 11: Process Scoring
Create a five-point process scale.
Example:
5:
All rules followed
4:
One minor execution issue
3:
Valid setup with one major management mistake
2:
Several meaningful violations
1:
No valid setup or major risk violation
Apply the scale to ten completed trades.
Part 12: Trade Classification
Classify ten completed trades as:
• Good trade, winning outcome
• Good trade, losing outcome
• Bad trade, winning outcome
• Bad trade, losing outcome
Then answer:
Did financial results match process quality?
Did any bad win reinforce dangerous behavior?
Did any valid loss cause unnecessary strategy changes?
Part 13: Rule-Violation Tags
Create tags for:
• FOMO
• Revenge
• Boredom
• Chasing
• Early entry
• Late entry
• Oversizing
• Stop moved wider
• Target moved
• Early exit
• Outside trading window
• News violation
• Excess trade count
• No valid model
Add any personal tags supported by your behavior.
Part 14: Positive-Behavior Tags
Create tags for:
• Waited for confirmation
• Reduced size correctly
• Accepted full loss
• Followed cooldown
• Avoided chasing
• Followed target
• Followed stop
• Stopped at trade limit
• Stayed flat during poor conditions
• Completed preparation
Apply at least one positive tag to every properly executed trade.
Part 15: Screenshot Standards
For every trade, save:
Screenshot 1:
Higher-timeframe context before entry
Screenshot 2:
Setup and execution timeframe before entry
Screenshot 3:
Chart immediately after exit
Screenshot 4:
Later outcome when useful
Every screenshot should include clear labels for:
• Entry
• Stop
• Target
• Relevant level
• Liquidity
• Invalidation
Part 16: Journal Ten Trades
Journal ten consecutive trades.
Do not select only interesting trades.
For each trade, complete:
• All structured fields
• Pre-trade thesis
• Invalidation
• Emotional ratings
• Management notes
• Final result
• MFE
• MAE
• Process score
• Classification
• Main lesson
• Screenshots
Part 17: Journal Three Missed Trades
For each missed trade, record:
Why the setup was not entered:
Was the setup valid?
Was hesitation reasonable?
Was the order missed?
Did price move too quickly?
Did the trader avoid chasing?
What action would improve execution?
Do not record missed profit as an account loss.
Part 18: Journal Three No-Trade Sessions
Record:
Market condition:
Premarket plan:
Why no setup qualified:
Emotional urge to enter:
How the urge was managed:
Whether remaining flat followed the plan:
What was learned:
Part 19: Compare Planned and Actual Management
For ten trades, record:
Planned target:
Actual exit:
Planned stop:
Actual stop:
Planned R:
Actual R:
Was management changed?
Was the change planned?
What financial effect did the change create?
Part 20: Journal Audit
After ten trades, answer:
Did I complete the journal before entry?
Did I record every trade?
Did I hide any rule violations?
Did I change the trade thesis after the result?
Did I rate winners more favorably because they won?
Did I blame valid losses on the strategy?
Did I record actual fees?
Did I record MFE and MAE accurately?
Did I use consistent labels?
Which journal fields were most useful?
Which fields created unnecessary work?
What behavior appeared repeatedly?
Key Takeaways
• A trading journal records the full decision process, not only profit and loss.
• A trade log contains basic information, while a journal explains context, execution, emotion, and outcome.
• Memory can rewrite trades after the result is known.
• Pre-trade journaling protects the original reasoning from hindsight.
• Every completed trade should be recorded.
• Rule-breaking trades should not be hidden.
• Missed trades and no-trade decisions should be classified separately.
• A complete journal includes before-trade, during-trade, and after-trade information.
• The market, account, contract, session, and time zone should be recorded consistently.
• The Model Used field identifies the setup that justified the trade.
• Trades without a defined model should be labeled honestly.
• Strategy versions should be separated.
• Higher-timeframe structure and bias provide context.
• Bias alignment should be recorded as aligned, countertrend, neutral, or unclear.
• Market location can affect the quality of the same confirmation.
• Dealing-range information should be recorded when relevant.
• Support, resistance, liquidity, opens, and news can provide context.
• The setup checklist should be completed before the outcome.
• Confirmation should be described objectively.
• Planned and actual entries should be compared.
• Slippage can increase risk and reduce expectancy.
• Stops should be connected to technical invalidation.
• Position size should fit the stop and maximum financial risk.
• Targets should be selected before the result is known.
• A trade thesis connects structure, location, confirmation, target, and invalidation.
• Pre-trade screenshots preserve the available information.
• Emotional and physical states can affect execution.
• During-trade notes should focus on major decisions and emotional changes.
• MAE measures the greatest adverse movement during the trade.
• MFE measures the greatest favorable movement during the trade.
• MFE and MAE should support research, not hindsight criticism.
• Every management action should be recorded.
• Partial exits must be calculated using weighted results.
• Break-even and trailing decisions should follow tested rules.
• Early exits should be separated into planned and emotional decisions.
• Gross and net results should both be recorded.
• R-multiples compare outcomes with initial risk.
• Exit screenshots preserve the completed trade.
• Process quality and financial outcome must be evaluated separately.
• A valid trade can lose.
• An invalid trade can win.
• Bad wins can reinforce dangerous behavior.
• Process scores should measure rule-following, not profitability.
• Specific violation tags create measurable behavioral data.
• Positive behavior should also be recorded.
• The main lesson should be specific and actionable.
• Not every loss requires a strategy change.
• Journaling should occur immediately while the trade is still fresh.
• Structured fields support analysis.
• Written notes preserve context.
• Labels should remain consistent.
• Supporting files can improve review quality.
• Strategy, execution, and psychology should be analyzed separately.
• A strategy problem requires a different solution from an execution or psychological problem.
• The journal becomes more valuable as the sample grows.
Final Lesson Reminder
After every trade, you should be able to answer:
What model did I trade?
What information supported the setup?
What was the higher-timeframe structure?
Was the trade aligned with bias?
Where was price located?
What liquidity was relevant?
What confirmation completed?
What was my planned entry?
What was my actual entry?
Where was the technical invalidation?
How many points did I risk?
How much money did I risk?
Was the position size correct?
What was the target?
What risk-to-reward was available?
How did I feel before entering?
How did my emotions change during the trade?
Did I follow the stop?
Did I follow the target?
Did I change management emotionally?
What were the MFE and MAE?
What was the net result in R?
Was this a good trade or a bad trade?
Was the outcome a win or loss?
What did I do well?
What specific action needs improvement?
A journal should not exist to make the trader feel guilty after a loss.
It should make the trader more accurate.
The trader cannot improve what they refuse to record.
The trader cannot analyze information that was never collected.
Educational Disclaimer
Tick Lab is provided for educational and informational purposes only. Nothing in this lesson should be interpreted as financial advice, investment advice, psychological treatment, or a guarantee of trading results. Trading journals, process scores, emotional ratings, and performance metrics are educational tools. Historical journal patterns do not guarantee future performance. Futures trading involves substantial risk and may not be suitable for everyone. Always use appropriate risk management and consider practicing your journaling process in a simulated environment before risking real capital.