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How to Keep a Trading Journal for Hyperliquid (and What to Actually Track)
Trading Process · Journaling · Hyperliquid

How to Keep a Trading Journal for Hyperliquid
(and What to Actually Track)

📅 November 2026 ⏱ 11 min read 📓 Process Guide
Your memory remembers the big winners and quietly forgets the leaks. A trading journal doesn’t. Here’s exactly what to log for every Hyperliquid trade, the five numbers that matter, and the weekly review that turns a spreadsheet into an edge.
THE JOURNAL LOOP · PLAN → RECORD → REVIEW (ILLUSTRATIVE) 1 · PLAN REGIME …….. TREND SETUP ……… PULLBACK ENTRY / STOP .. 40.00 / 38.80 RISK ………. $100 (1R) TARGET …….. 3R 2 · RECORD # SETUP R RULES 41 pullback +2.8R yes 42 range -1.0R yes 43 chase -1.4R NO 44 pullback +3.1R yes 3 · REVIEW expectancy +0.4R keep what works · cut what leaks
⚠️ Educational content only. All trades and statistics in this post are hypothetical and exist to show how journaling works. Past results in a journal don’t guarantee future results.
Ask a trader how their month went and you’ll usually get a story about one great trade. Ask them their win rate on range fades versus trend pullbacks and you’ll get silence. That’s the gap a trading journal fills. Memory is biased toward the trades that felt good, and it’s very good at forgetting the slow, repeated leaks that actually drain an account.
This guide covers exactly what to record for every Hyperliquid trade, the handful of numbers worth calculating, a worked example that shows how a journal exposes a losing setup hiding inside a winning month, and a 20-minute weekly review routine. It’s the natural partner to everything else in the series: the regime checklist, ATR stops and position sizing only improve if you measure whether they’re working.

The Rule That Makes a Journal Work: Measure in R

Before the fields, one principle. Record every result as an R multiple: the profit or loss divided by the amount you planned to risk. If you risked $100 and made $280, that’s +2.8R. If you lost $140 on a $100-risk trade, that’s −1.4R, and it tells you something went wrong with execution.
💡 Why R Beats Dollars
R lets you compare every trade fairly. A $50 win on a $25-risk trade (2R) was better trading than a $150 win on a $200-risk trade (0.75R). Dollars change as your account grows; R measures the quality of the decision. Any loss bigger than −1R means you slipped, moved a stop, or sized wrong.

What to Track for Every Trade

Split the entry into three moments: before you enter, after you exit, and when you review. The “before” fields are the most important because they can’t be rewritten with hindsight.
The fields that matter
Before entryDate and time, market, long or short, timeframe, market regime, setup name, entry, stop, target, planned risk in $, planned R:R, and one sentence on why you’re taking it.
After exitExit price, exit reason (target, stop, trail, manual), gross P&L, fees, funding paid or received, net P&L, result in R, and whether you followed your plan (yes or no).
ReviewA chart screenshot at entry and exit, your emotional state (calm, rushed, revenge, FOMO), the mistake if there was one, and the single lesson.
Name your setups. “Trend pullback,” “range fade,” “sweep-and-reclaim,” “flag breakout.” Consistent names are what let you sort the journal later and see which ones actually pay. The free Hyperliquid Pre-Trade Checklist covers most of the “before entry” fields, so filling it in and logging it is one step.

The 5 Numbers Worth Calculating

Your performance dashboard
Win rateWinning trades ÷ total trades. Meaningless on its own; a 35% win rate can be very profitable.
Avg win / avg loss (R)How big your winners are compared with your losers. Average loss should sit close to −1R.
Expectancy(win % × avg win R) − (loss % × avg loss R). The average R you make per trade. The single most important number.
Max drawdownThe biggest peak-to-trough drop in your account. Tells you whether your risk per trade is survivable.
Rule-following ratePercent of trades where you followed the plan. Compare expectancy on “yes” trades versus “no” trades. The gap is usually eye-opening.

Worked Example: The Leak Hiding in a Winning Month (Hypothetical)

A trader risking $100 per trade logs 20 trades in a month: 8 winners averaging +2.5R and 12 losers at −1R each.
The month at a glance
Win rate8 ÷ 20 = 40%
Expectancy(0.40 × 2.5) − (0.60 × 1.0) = +0.4R per trade
Net result+8R = +$800
A good month. Most traders would stop there. But sorting the same 20 trades by setup tells a very different story:
Same month, sorted by setup
SETUPTRADESWINSAVG WINNET
Trend pullbacks106+2.8R+12.8R (+$1,280)
Range fades102+1.6R−4.8R (−$480)
That’s the whole value of a journal in one table. The trend pullbacks made +$1,280. The range fades quietly gave back $480 of it. Without the journal, the month just felt “pretty good.” With it, the next step is obvious: stop range fading until you find out why it’s failing, or paper-trade it until it improves. Twenty trades is a small sample, so treat it as a strong hint and keep collecting.

Pulling Your Data From Hyperliquid

The Hyperliquid interface keeps a record of your fills in the Trade History tab and your funding payments in Funding History. Use those as the source for exit prices, fees and funding rather than your memory. Two things trip people up:
1
One trade, many fills. A single order can fill in several pieces, and scaling in or out creates more. Combine the fills into one journal entry using the average entry and exit price.
2
Funding is part of the result. Funding is settled hourly, so on multi-day holds it can turn a small winner into a scratch. Add it into net P&L, or your swing trades will look better than they really are.

The 20-Minute Weekly Review

1
Update the numbers. Win rate, average R, expectancy, and drawdown for the week and for all-time.
2
Sort by setup and by regime. Which setups made money? Which lost? Did range trades fail in trending weeks?
3
Look at every loss bigger than −1R. Each one is an execution problem: a moved stop, slippage in a fast market, or oversizing.
4
Compare “followed plan” vs “didn’t.” If the rule-breaking trades lose and the rule-following ones win, your system is fine and your discipline is the leak.
5
Write one change for next week. Just one. “No range fades,” or “no trades in the first hour after a loss.” Then check it next Sunday.
📊 Skip the Spreadsheet Setup
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Everything in this post, already built. A dark-themed Excel spreadsheet with a trade log that auto-calculates P&L, a performance dashboard with your live win rate and stats, an emotion and strategy tracker, a Hyperliquid vault tracker tab, and a weekly review template.
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4 Common Journaling Mistakes

❌
Logging only some trades
Skipping the embarrassing ones makes the statistics useless. The impulsive trades are exactly the ones you need to see.
❌
Filling in the plan after the trade
Hindsight rewrites your reasons. Log the setup, stop and target before you enter.
❌
Tracking dollars instead of R
Dollar results swing with position size and account growth. R tells you whether the decisions were good.
❌
Journaling but never reviewing
A journal you never read is just a diary. The weekly review is where the edge comes from.

Frequently Asked Questions

Either works. What matters is that you log every trade consistently and review it. A spreadsheet is flexible and private, and you control exactly what you track. Apps can import trades automatically but may not capture the “why” and emotion fields that matter most. Pick the one you’ll actually use every day.
Twenty to thirty trades per setup gives you a rough picture; fifty or more is much more reliable. Small samples can be very misleading, so treat early numbers as hints and keep logging before making big changes.
Yes, in a separate tab. Practice trades are the cheapest way to test a new setup, and journaling them builds the habit before real money is involved. Keep them separate so they don’t distort your live statistics.
About two minutes per trade, split between filling in the plan before entry and the result after exit, plus around 20 minutes for the weekly review. If it takes much longer, cut fields until it doesn’t. A short journal you keep beats a detailed one you abandon.

Build Your Complete Trading System


The Bottom Line

A trading journal turns opinions about your trading into facts. Log the plan before every entry, record the result in R with fees and funding included, and spend 20 minutes each week sorting by setup and by whether you followed the rules. The leaks show up fast, and so do the setups worth doubling down on.
Start with the free Pre-Trade Checklist for the plan, use the $7 Trading Journal or your own spreadsheet for the record, and practice the whole loop risk-free in the free practice simulator.
New to Hyperliquid? Start With the Ultimate Guide
Wallet setup, first deposit and first trade — everything from scratch before you start tracking and reviewing your trades.
READ THE ULTIMATE GUIDE →
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Chris Ford — CryptoJag
C
— Chris
Founder · CryptoJag
For a long time I thought I knew which of my trades worked. Then I started logging every one in R and sorting by setup, and one of my favorite setups turned out to be a slow, steady loser I’d been funding with my good trades. Cutting it did more for my results than any new indicator. The journal didn’t make me a better trader overnight; it just stopped me from lying to myself.
This post is for educational purposes only and does not constitute financial or trading advice. All trades, statistics and worked examples are hypothetical and are not trade recommendations. Journal statistics from small samples can be misleading, and past results do not guarantee future results. All trading involves risk of loss. The Hyperliquid referral link earns CryptoJag a commission at no additional cost to you.

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