I traded for fourteen months before I started journaling. In that fourteen months I told myself I was profitable. I was not. When I finally built a journal and logged the previous three months of trade history, the truth landed in one sentence: I was net down 11% and I’d convinced myself I was up because I remembered the wins louder than the losses.
This post is the journal that fixed me. Some links inside are affiliate. I flag them when they appear.
Short answer: A crypto trading journal is a structured log of every trade you place — entry, exit, position size, stop, R outcome, setup, reason, screenshot, and emotion. The discipline takes 90 seconds per trade and identifies your real win rate, R-expectancy, and biggest leaks within 50 trades. The traders who survive long-term are journalers. The ones who don’t, aren’t.
See Trade Travel Chill — where journaling is mandatory inside the curriculum → (referral link)
Key takeaways
- Journaling identifies your real edge — most traders are 10–20% worse than they think they are.
- The 12 fields that matter take 90 seconds per trade to log.
- Screenshot the chart at entry and exit. Every trade. No exceptions.
- Weekly reviews surface tactical leaks. Monthly reviews surface strategic ones.
- The single most useful metric: average R per trade (R-expectancy). It quantifies your edge.
- Studies show journaling traders outperform non-journalers significantly over time.
Why journaling matters (the #1 separator of profitable traders)
Memory lies. Specifically, your trading memory lies in three ways:
You remember wins louder than losses. Cognitive bias compresses bad trades and amplifies good ones. After three months you remember the +5R outlier and forget the four -1R losses that funded it.
You misattribute outcomes. You exited the trade because of a signal. You remember exiting it because you “felt the top.” When the next trade goes wrong, you trust the feeling — not the signal — and the feeling fails you.
You can’t see patterns without data. Your worst losses might all happen on Mondays. They might all happen on alts under $5. They might all happen when you’ve taken a trade in the previous hour. Without a log you cannot see this. With a log it jumps off the page.
The journal is the only way to override these failures. It replaces memory with evidence.
The research backs this up. Across multiple studies in behavioural finance, retail traders who maintain detailed trading journals outperform non-journalers by margins ranging from 15% to 40% annualised. The mechanism isn’t magic — it’s that you find your leaks faster and stop repeating them.
If you take one habit from this post: log every trade, starting today. The first 50 trades are the most valuable because they show you what you actually do versus what you think you do.
What to log per trade
The minimum viable log has nine fields. The full log I use has 12. Let me walk both.
Minimum viable (9 fields)
- Date and time of entry
- Asset (BTC, ETH, SOL, etc.)
- Direction (long/short)
- Entry price
- Stop loss price
- Take profit price (or actual exit)
- Position size in units
- Outcome in R (e.g. +2R, -1R)
- Setup name (breakout, pullback, range reversal, etc.)
If you log nothing else, log these nine. Time, asset, direction, prices, size, R, setup. Everything else is optional.
The full 12 fields I use
I’ll cover these in detail in the next section.
The 12 fields I use
Built over five years. Each field earns its place by either preventing a future loss or amplifying a future win.
1. Date and time
UTC for consistency. Time matters — you’ll discover your worst trades cluster in specific hours.
2. Asset
Tag with the ticker. Aggregate later to see if certain assets eat you alive (mine: SOL on 1m timeframe — disaster).
3. Direction
Long or short. Many traders find they’re significantly better in one direction than the other. Mine: I’m 14% better on longs than shorts. I size shorts smaller as a result.
4. Setup name
The specific setup that triggered entry. Use a fixed vocabulary — “breakout-and-retest,” “range-reversal,” “trend-pullback,” “FVG-fill,” “order-block-reaction.” Don’t make up new names. The point is to aggregate later and see which setups produce your edge.
If you’re using TTC’s TBD System, the setups have specific names (TBD indicators) and you can track which produce your best R-expectancy.
5. Timeframe
The chart you took the entry from. 1m, 5m, 15m, 1h, 4h, 1D. You’ll find you have a “best timeframe” — mine is 1h. Lower than that I overtrade. Higher than that I underexposed.
The crypto trading time frames post covers timeframe selection in depth.
6. Entry price
Actual fill price, not the price you wanted. Log slippage if relevant.
7. Stop loss price
The platform stop you placed. Detail in how to set stop losses crypto.
8. Target price (and actual exit)
Both. The target you set and the price you actually exited at. The delta between the two is one of the most useful diagnostic numbers — am I cutting winners early? Letting losers run?
9. Position size (units and notional)
How many tokens, and what dollar value. Both useful for review.
10. R outcome
Plus or minus, in R units. +2R, -1R, +0.5R if you cut early. This is the single most important field.
11. Pre-trade reason (one line)
Why you took the trade. Single sentence. Maximum 15 words.
“4h breakout above $70.5k resistance with volume confirmation.”
“15m bullish FVG fill at $3,820 ETH support.”
“Range reversal long at lower band, 1h RSI oversold.”
Force yourself to articulate it. The trades where you can’t write a clean reason are the trades you shouldn’t have taken.
12. Emotion at entry (and at exit)
Scale of 1–10 for both:
– 1 = calm, executing the plan
– 5 = mild excitement or hesitation
– 10 = euphoria or panic
Your worst trades will all be 7+ at entry. Your worst exits will all be 7+ at exit. Quantifying it lets you see the pattern. Detail in crypto trading psychology.
Plus screenshots
Two per trade. One at entry. One at exit. Marked up with the setup logic. Non-negotiable.
Pre-trade vs post-trade journaling
There are two journaling moments per trade. Both matter.
Pre-trade
Before clicking buy:
- Write the reason (one sentence)
- Note the setup name
- Note the timeframe and asset
- Record entry, stop, target prices
- Calculate and log position size
This forces conscious commitment to the trade. If you can’t fill the fields, you don’t have a trade.
I keep a sticky note on my second monitor with these prompts. Until they’re answered, the order doesn’t go in.
Post-trade
After the trade closes:
- Actual exit price
- R outcome
- Emotion at exit
- Screenshot of the chart at exit
- One-line post-mortem (what worked, what didn’t, what I’d change)
The post-trade entry takes 60 seconds. Do it immediately — within five minutes of close. Memory degrades fast and the lessons are clearest right after the trade.
Screenshot the chart at entry AND exit
This is the single highest-value habit in my journaling routine.
A trade logged with numbers but no screenshot is half a trade. The chart picture shows you context — the structure leading in, the candles around your entry, the price action that played out. Numbers tell you the result. Screenshots tell you the why.
My screenshot workflow
- Entry screenshot: take it within 60 seconds of order fill. Mark up the chart with entry, stop, target as horizontal lines. Annotate the setup (arrow at the breakout, circle at the order block, line at the FVG).
- Exit screenshot: take it within 60 seconds of close. Mark up the actual exit, plus where the original target was if you exited early or late.
What you’ll see when you review
After 50 trades, lay your entry screenshots out side by side. Patterns jump out:
- All my winning longs had clean structure (visible higher lows).
- All my losing trades had no clean structure — I was buying noise.
- All my best exits were at obvious resistance. All my worst exits were “just to be safe” panic closes.
You cannot see these patterns from numbers alone. The visual archive is the diagnostic.
Tools I use
- TradingView’s snapshot tool (built into every chart, generates a shareable image URL). Free.
- A simple folder named
journal-screenshots-yyyy-mmwith files named001-btc-long-entry.png,001-btc-long-exit.png. Old-school. Works.
Weekly review process (find your leaks)
Every Friday I sit down for 45 minutes and review the week.
The five questions
For every trade taken that week:
- Did I follow the plan? Yes/no. Track the percentage. Below 80% means discipline issue, not strategy issue.
- Was the setup valid? Yes/no. Even if it won, was it the kind of setup I’m supposed to take? Bad setups that win are dangerous — they reinforce wrong behaviour.
- Did I cut winners early? Look at the delta between actual exit and the original target. If you keep cutting at 1.2R when targets were 2R, that’s a major edge leak.
- Did I let losers run? Did the loss exceed 1R because you moved the stop, or did the stop fire cleanly? If you’re letting losers run, it’s an edge killer.
- What was the biggest mistake of the week? Pick one. Write it down. Decide one thing you’ll do differently next week.
Aggregate the week
- Total R for the week (+ or -)
- Win rate
- Average R per win, average R per loss
- Biggest win, biggest loss
Plot these weekly numbers on a chart over time. The trend matters more than any single week. You’re looking for: consistent positive R per week, win rate stabilising, average R per win climbing as you learn to ride trends.
Monthly review process (categorise wins and losses by setup)
Every first Saturday of the month, deeper review. 90 minutes.
Group by setup
Lay out every trade by setup category. For each setup category, calculate:
- Number of trades taken
- Win rate
- Average R per trade (R-expectancy)
- Best and worst trade
You’ll quickly see:
- One or two setups producing most of your edge
- One or two setups losing money consistently
- Setups that you’re trading too rarely (because you don’t notice them)
The action items
After the monthly review I make three decisions:
- What setup do I take more of next month? Usually the highest R-expectancy setup.
- What setup do I drop? Anything with 20+ trades and negative R-expectancy.
- What discipline do I tighten? One specific behaviour — e.g. “no Monday trades before 10am” or “no trades while emotionally rated above 6.”
This is where the journal goes from log to strategy refinement. The data tells you what’s working. You double down on what works, cut what doesn’t.
The community that drilled this monthly discipline into me is Trade Travel Chill. The TBD System makes journaling and review part of the methodology, not an afterthought. (referral)
The metrics that matter
Three numbers run the show. If you only track three things, track these.
1. R-expectancy
Average R per trade across all trades.
- Negative R-expectancy: your strategy is losing money. Stop trading live and go to paper.
- 0.1R to 0.3R per trade: profitable, but barely. Need to refine.
- 0.3R to 0.5R per trade: solid edge. Most pro traders sit here.
- 0.5R+: rare. Either you’re early in your career on a small sample, or you’re actually elite, or you’re trading a temporarily anomalous market.
After 100 trades, your R-expectancy is a meaningful number. Below 100 trades, it’s mostly noise.
2. Win rate
Percentage of trades that closed positive.
- Below 35%: you need 2R+ average wins to break even. Hard but possible.
- 35–50%: standard range for most trend strategies. Sustainable.
- 50–65%: standard range for mean-reversion or scalping strategies.
- Above 65%: rare and often signals you’re cutting winners too early.
Win rate on its own means nothing. Win rate paired with average R per win and loss tells the full story.
3. Maximum drawdown
The biggest peak-to-trough decline in your account.
- Under 10%: you’re well-positioned to survive any environment.
- 10–20%: normal for active traders. Recoverable.
- 20–30%: warning zone. Either reduce size or stop trading and review.
- 30%+: stop. Go to paper. Something is broken.
Babypips covers drawdown management cleanly. The principles apply directly.
Free journal templates (Notion, Excel, Google Sheets)
You don’t need fancy software. The best journal is the one you’ll actually use.
Google Sheets
The default. Free, accessible from anywhere, easy to share.
Columns: Date | Time | Asset | Direction | Setup | Timeframe | Entry | Stop | Target | Actual Exit | Position Size | R Outcome | Reason | Emotion Entry | Emotion Exit | Screenshot Entry URL | Screenshot Exit URL | Notes
Add formulas for win rate, R-expectancy, and weekly totals. Build the template once, use it forever.
Notion
Better for traders who want screenshots embedded inline. Each trade becomes a database row with image attachments. Tagging and filtering are stronger than Sheets.
Setup time: 30 minutes. Worth it if you live in Notion already.
Excel
Same as Sheets but offline. Use this if you want maximum data privacy or are working without internet.
Plain text (Markdown)
Some traders prefer one Markdown file per trade with a folder structure by date. Loses tabular analysis but gains rich notes per trade. I’ve seen pros use this — usually those with 10+ years of trading and a developed personal voice on each trade.
Paid tools (Edgewonk, Tradervue)
If you outgrow spreadsheets, paid platforms add automation.
Tradervue
- Crypto exchange CSV imports (BitGet supported)
- Auto-calculated metrics (R-expectancy, win rate by setup, equity curve)
- Tag-based filtering
- Pricing: $29/month or $249/year
Edgewonk
- Strong analytics, focused on edge identification
- Tags, screenshots, mistake tracking
- One-time purchase ($169) instead of subscription
- Pricing: $169 lifetime
My take
For most retail traders, Google Sheets handles 95% of what you need. Pay for software only when you’re trading 50+ trades a month and the manual analytics become time-consuming. Until then, spreadsheets are fine.
How journaling fixed my biggest leak
The specific story.
Month seven of journaling. I ran my first proper monthly review. Sorted trades by setup. The data showed one specific setup — long entries on Ethereum after a 4h pullback to the 20 EMA — had a 31% win rate and a -0.42R expectancy across 24 trades.
I’d been taking this setup almost daily. I was convinced it worked. The “feeling” of it was right.
The data said it was costing me roughly 10R per month — equivalent to 10% of my account.
I stopped taking the setup the next day. My monthly R jumped from +1.2R to +11.4R over the following 90 days. Same number of trades. Same risk per trade. The leak was the leak.
I could not have found this without the log. Memory was telling me the setup worked. Data was telling me it didn’t. The journal sided with data, and the data was right.
That single leak fix has compounded across the four years since. It’s the highest-ROI hour I’ve ever spent at a spreadsheet.
If you don’t journal, this kind of insight is invisible to you. You’ll keep taking the losing setup forever.
Want a community that holds you to journaling?
TTC’s Discord has 1,000+ traders logging their trades, sharing setups, reviewing each other’s R. The accountability is the difference.
Referral link.
Why TTC hammers journaling in the curriculum
Most crypto courses teach setups and entries. TTC’s TBD System teaches journaling as a foundational discipline — not optional, not encouraged, required.
The logic: a setup without a journal is unverifiable. Annii built the methodology around the idea that traders who can prove their edge with data survive, and traders who can’t will burn out within 18 months no matter how well they read charts.
Inside the curriculum:
- A dedicated journaling module in the beginners course
- A standard journal template the Cabin Crew use
- Live trading sessions where pros walk through their journal entries
- Daily Discord posts where members share their R for the day
- Monthly community reviews of biggest leaks and biggest wins
Pricing: $88/month or $899/year for Business Class (self-paced, all courses including journaling module). $158/month or $1,610/year for First Class (live sessions, direct pro trader access, mindset coach). 20% off with crypto payment. 48-hour money-back guarantee.
The discipline of journaling is what makes the difference between traders who graduate and traders who don’t. See TTC → (referral)
If you’re comparing options, best crypto trading courses walks through the alternatives. Are crypto trading courses worth it covers the economics of paid education.
How to start journaling today (the 5-step setup)
If you’ve read this far and don’t journal, here’s the fastest path from zero to live tomorrow.
Step 1: Pick the tool (5 minutes)
Google Sheets. Don’t overthink it. You can migrate later.
Step 2: Set up the columns (15 minutes)
Copy the 12 fields above into row 1. Drop in formulas for R-expectancy and win rate in the summary row.
Step 3: Backfill your last 20 trades (60 minutes)
Pull your last 20 trades from your exchange history. Log them. Mark setup, reason, and emotion from memory (rough is fine — you’ll get better at this going forward).
This backfill is critical. It gives you a baseline to compare new trades against from day one.
Step 4: Add the pre-trade discipline
On your next trade, fill the pre-trade fields before clicking buy. If you can’t fill them, don’t take the trade.
Step 5: Schedule the reviews
Friday afternoons for weekly. First Saturday of the month for monthly. Block calendar slots. Treat them like meetings you cannot miss.
That’s it. You’re a journaler.
Common journaling mistakes
Five I see most often.
1. Logging only winners
People love writing about the trades that worked. The trades that didn’t get glossed over. The losses are the data you need most.
2. Skipping the emotion field
It feels indulgent to log “felt anxious entering.” It isn’t. Emotion is the single most predictive field for outcome — your worst trades cluster at high emotion.
3. Logging too many fields
If you have 30 fields, you won’t fill them. Start with 9–12. Add fields only when you have a specific analytical question.
4. Never reviewing
The log without review is a graveyard. The review is where the value lives. If you only do one of the two — review.
5. Quitting after a bad week
The first few weeks of journaling are the hardest because the data confronts you. Most traders quit at this point. The ones who push through to month 3 are the ones who learn. The ones who quit stay stuck at the same mistakes for years.
For more bad habits to avoid, see crypto trading mistakes beginners make.
Journal templates by trading style
Day trader template
- Pre-trade: setup, timeframe (5m/15m), reason, emotion
- Post-trade: exit price, R, time-in-trade, emotion at exit
- Daily summary: total R, win rate for day, number of trades
Detail in how to day trade crypto.
Swing trader template
- Pre-trade: setup, timeframe (4h/1D), narrative thesis (2 sentences), reason for size
- Post-trade: exit price, R, hold duration, what changed in the thesis
- Weekly summary: open positions, planned exits, market regime notes
Detail in swing trading crypto.
Scalper template
- Minimal fields — speed matters
- Setup, R outcome, time-in-trade, emotion (single field 1–10)
- Aggregate by hour-of-day to find your best window
Detail in scalping crypto.
Bot trader template
- Bot name, configuration parameters, deployment date
- Weekly P&L from the bot dashboard
- Notes on market conditions during the period
Detail in are crypto bots profitable.
What journaling won’t fix
Honest section.
Journaling does not fix a bad strategy. If your strategy has no edge, a journal will reveal that quickly — but you still need to find a different strategy. The journal is a diagnostic tool, not a treatment.
Journaling does not replace education. You still need to understand market structure, risk management, position sizing, and execution. The journal makes everything you’ve learned more measurable. It doesn’t substitute for the learning.
Journaling does not protect against catastrophic single events — a poorly placed stop on a flash crash, a leveraged position during a black swan, a hack on the exchange you trade on. Other disciplines handle those (see how to set stop losses crypto, crypto position sizing).
What journaling does: it makes everything else you do measurable. And once it’s measurable, it’s improvable. That’s the entire game.
Where to apply this — exchange setup
I run my journaling from BitGet trade history exports. The CSV exports from the BitGet Reports section drop into Google Sheets cleanly, with timestamps, prices, sizes, and fees in clean columns.
If you want the platform: BitGet sign-up (referral) takes 90 seconds. Trade history exports are under Reports → Trade History.
If you’re choosing between exchanges first, the BitGet review has the full breakdown.
Frequently asked questions
What should I include in a crypto trading journal?
At minimum: date/time, asset, direction, setup name, entry price, stop price, target price, position size, R outcome, and one-line reason for the trade. Add screenshots of the chart at entry and exit. Optional fields: emotion ratings, timeframe, post-trade notes.
How often should I review my trading journal?
Weekly reviews on Friday for tactical adjustments (45 minutes), monthly reviews on the first Saturday for strategic adjustments (90 minutes). Skipping reviews is the most common failure mode — the journal without review is useless.
What is R-expectancy?
R-expectancy is the average R outcome per trade across all your trades. If you risk $50 per trade and your average outcome is +$15, your R-expectancy is +0.3R. Above 0.3R per trade is solid; below 0 means your strategy is losing money.
Is Google Sheets enough for a trading journal?
Yes, for most retail traders. Build a 12-field template with formulas for R-expectancy and win rate. Upgrade to paid tools (Tradervue, Edgewonk) only when you’re trading 50+ trades a month and manual analytics become time-consuming.
How long until a trading journal pays off?
The first useful insights appear after 50 trades. The first leaks usually identified within 100 trades. The biggest gains in trading performance typically show up between trades 100 and 300, as you stop taking your worst setups.
Should I journal paper trades?
Yes. Paper trades count. Journaling them builds the habit, lets you test strategies without risk, and produces meaningful data once you have 50+ trades logged. Treat paper exactly like live for journaling purposes.
What’s the difference between a journal and a watchlist?
A journal logs trades you took. A watchlist logs trades you’re considering. Both useful. The journal is non-negotiable. The watchlist is optional.
How does TTC teach journaling?
TTC’s TBD System includes a dedicated journaling module in the beginners course, a standard journal template used by the Cabin Crew, live trading sessions where pros walk through their entries, and a Discord with daily R-sharing. Journaling is required, not encouraged. See TTC for details.
Final word
The traders who survive aren’t the ones with the best entries. They’re the ones who can answer the question “what’s working and what isn’t” with data instead of feeling.
That’s journaling. That’s the whole thing. Twelve fields, 90 seconds per trade, 45 minutes a week, 90 minutes a month.
The math is brutal: traders who do this beat traders who don’t, year after year. If you’ve read this far and don’t journal, start tomorrow. Even better — start today.
Right — over to you.
Related posts
- Crypto Trading Position Sizing: The 1% Rule and How to Actually Apply It
- How to Set Stop Losses in Crypto Trading
- Trade Travel Chill Review
