Notes from inside an active trading journal.
Honest, first-person writing on prop firm evaluations, futures setups, broker workflows, and the daily review process that actually moves a P&L.
Build a Trading Playbook: Grading Your Setups A+ to C
Most playbooks are a list of setups. A list can't tell you what to size up — and it can't be wrong, which is the problem.
The rule that makes a grading criterion real, a 240-trade worked example where two of four grades turn out to be one, how many trades each grade gap actually takes to prove — and why the honest first playbook has two grades rather than four.
Trading statistics · Time of dayBest Time to Trade Crypto: What Your Own Data Can (and Can't) Tell You
One bar on the hourly chart is always tallest. Seven times in ten it means nothing at all.
Why splitting a few hundred trades into 24 buckets manufactures false findings, a worked 312-trade example where a 0.35R session gap still isn't established, the sample sizes each effect size actually needs, the four things time of day is a proxy for — and three perps-specific confounds that distort the clock.
Trade management · Partial exitsScaling Out: Does Taking Partial Profits Help or Hurt?
Scaling out always raises your win rate. It does not always raise your expectancy — and the metric most traders check can't tell the difference.
The exact break-even ratio for a half-off-at-+1R plan, two traders who both land at a 55% win rate with opposite results, why the breakeven stop rather than the partial does the work — and the one MFE field that makes any of it measurable.
Execution costs · SlippageSlippage: What Your Fills Actually Cost, in R
A 5-basis-point fill on a 0.25% stop costs 0.40R a round trip. Your cost per R is inversely proportional to your stop distance.
Why slippage is invisible — it is already inside your P&L — the formula that converts a fill into R, why stop-outs slip when targets rarely do, a worked example where a genuine +0.35R edge lands at +0.22R, and the four fields that make all of it measurable.
Trading statistics · Sample sizeHow Many Trades Before You Can Trust Your Edge?
Twenty trades tells you almost nothing. A strategy that genuinely loses money still shows a profit after 100 trades about one time in five.
The standard error hiding behind every expectancy figure, how many trades each size of edge actually needs, why splitting a sample by setup destroys it, the regime problem nothing solves — and the two tiers of question you can answer long before the sample is big enough.
Risk management · CorrelationPortfolio Heat: Why Three Correlated Longs Are One Trade
Four positions at 0.85 correlation carry 3.77× the risk of one — not 2×. Per-trade sizing rules never see it.
What correlation does to your real exposure, why five majors behave like 1.14 independent bets, three ways perps make it worse, a cluster-budget rule that fixes it — and five ways the analysis will mislead you.
Risk management · DrawdownTrading Drawdown: The Recovery Math and How to Dig Out
Down 30% takes a 43% gain just to get back to flat. Most drawdowns get deep because of what the trader does next.
The recovery arithmetic, why a six-loss streak is ordinary rather than a verdict on your edge, the five journal fields that separate a variance drawdown from a behavioral one, and a tiered de-risking protocol with the tradeoff spelled out.
Trade analytics · Stop placementMAE and MFE: Stop-Loss Placement From Your Own Trade Data
Your closed trades already say where your stop belongs. Most journals never record the two fields that tell you.
What Maximum Adverse Excursion and Maximum Favorable Excursion actually measure, the four questions they answer, a worked example in R, what changes on perps — and five ways the analysis will mislead you if you overfit it.
Crypto · Perps · Funding costsFunding Fees Are Part of Your P&L, Not a Footnote
On perps, funding is a real cost paid three times a day — and most journals leave it out of your P&L.
What funding actually is, who pays whom, how often it hits, and a worked example of how a +$120 trade nets +$90 — or −$30 — once funding is counted. Plus how to fold it into your true net P&L.
Risk management · Position sizingHow Much Should You Risk Per Trade? A Perps Trader's Rule
No single number — 1% on a C setup, 2% on a B, 3% on an A.
Why leverage isn't your risk, how to scale risk by setup grade (1/2/3%) without blowing up on your worst trades, the sizing formula that starts from your stop, and how journaling grade + R proves your A setups earn the extra size.
Product update · Broker syncHyperliquid Sync Is Out of Beta — Binance, Bybit and OKX Beta Now Open
Hyperliquid graduates to live. Binance is live in beta; Bybit and OKX beta access is open.
What shipped today across broker sync — Hyperliquid out of beta with wallet-address auth, Binance USDT-M Futures live in beta, and Bybit and OKX beta testing now open — plus exactly how to jump on.
Crypto · Comparison · Perps-firstThe Best Trading Journal for Crypto Traders in 2026
Funding, perps, liquidation price, and native exchange sync — graded by a Bitunix trader.
An honest read on which journals actually understand crypto: funding folded into Net P&L, liquidation price that survives the import, native Bitunix sync, and an AI Coach that flags behavior in real time — plus where the equities-first tools fall short.
Trading journals · Complete guideThe Complete Guide to Keeping a Trading Journal
Almost every trader starts a journal. Almost none keep one. Here's how to build one that survives a real trading week.
The definitive guide to keeping a trading journal — what to record, the daily and weekly review routine, the metrics that actually matter (expectancy and R-multiple), the crypto-specific fields most journals miss, and how to stop quitting.
Trading psychology · DisciplineHow to Stop Revenge Trading Before the Second Loss
I lost three months of profit on one Tuesday in 17 minutes. Here's how to break the spiral.
A 5-step recovery process to catch revenge trading before the second loss — name the loss, enforce a cooldown, re-read your rules, raise your bar, and log the urge — plus how the AI Coach flags the spiral in real time.
AI for traders · Honest reviewThe Best AI Trading Journal in 2026 (Tested 6 Tools)
Six tools tested six weeks each. Three changed how I review trades; three were chatbots in disguise.
An honest, behavior-first breakdown of six AI trading journals — ChatGPT-as-journal, TradeZella AI, bolt-on wrappers, TraderSync, PsyQuation, and the tradejournal.ai AI Coach that flags revenge trades and sizing breaks in real time.
Trading journals · Comparison7 Edgewonk Alternatives for 2026 (Spreadsheet to Software)
Edgewonk is a spreadsheet wearing a SaaS coat. Here's the depth, without the workbook feel.
Seven Edgewonk alternatives tested with the same 1,200 trades — analytics depth without the Excel ergonomics, Bitunix native sync, and an AI Coach that flags behavior in real time.
Trading journals · Comparison9 TradeZella Alternatives Tested in 2026 (Honest Review)
TradeZella is fine. After three months on it, I switched. Here's why.
Nine TradeZella alternatives tested with the same 1,200 trades — Bitunix native sync, AI Coach that flags behavior in real time, honest pros and cons, and how to pick.
Binance · Crypto-first · USDT-M FuturesBest Trading Journal for Binance USDT-M Futures (2026)
Native sync, multi-fill VWAP, funding folded into Net P&L.
Why most journals get Binance wrong (US-IP geo-block, fill reconciliation, funding handling), what native sync looks like, and how the Frankfurt relay solves the infrastructure problem.
Bitunix · Cornerstone · Auto-sync guideBest Trading Journal for Bitunix in 2026 (Auto-Sync Guide)
I trade Bitunix. I got tired of broken CSVs. So I built one that doesn't.
Why Bitunix is hard to journal, how the auto-sync actually works, a side-by-side of 480 manual trades vs. one-click sync, and what the dashboard shows after a week.
AI for traders · Honest reviewAI Trading Journal: What AI Actually Adds (and What It Doesn't)
An honest look — without the marketing fluff
What AI actually catches in your trade history, what it can't do, and how to use it without being fooled. Three concrete examples from real trades.
Trading journals · Comparison11 Tradervue Alternatives Worth Switching To in 2026
Tested by a day trader
An honest first-person comparison of 11 trading journal apps — what each one is good at, where they fall short, and which one fits your workflow.
Tradovate · Setup guideThe Best Trading Journal for Tradovate Users
CSV import walkthrough + futures setup guide
How to export your Tradovate trades to CSV, which journals support Tradovate, and the futures-specific fields you actually need to track.
Prop firm · Daily reviewProp Firm Trading Journal
The daily review process funded traders use to pass on the first attempt
The framework funded traders use to stay inside FTMO, Topstep, MyFundedFutures, and Apex rules — including Apex's new 2026 dual-drawdown model.
Free template · Excel + SheetsFree Day Trading Journal Template
Excel + Google Sheets — and why you'll outgrow it in 90 days
A free spreadsheet template with every column you need for stocks, options, and futures, plus the four formulas that actually matter.