I Tried 7 Trading Journal Apps. Here's What I Learned.

Search "best trading journal app" and the SERP looks the way every product-category SERP looks in 2026: ten listicles that rank by vibes, never agree on a winner, and never explain why the apps in question are even the same kind of thing. They are not. Trading journal apps split into two architectures, and most roundups blur the split so they can fit more affiliate links into the page.

The split is this. Some trading journal apps are analytics-first SaaS: they auto-sync from your broker, compute win-rate, R-multiple, drawdown, and an equity curve, and present the dashboard. Some are friction-first capture surfaces: you write what you did and what you thought, by hand, and the analytics live somewhere else (or nowhere). The "best" app depends on which kind of trader you are and what part of trading you are actually trying to fix, and pretending that question has one answer is the original sin of this genre.

I scored seven trading journal apps against the same seven-criterion rubric, named where each one wins, and named where each one loses. One disclosure up front: I built one of the seven apps in this list (notetime). I'll get to it last, on the same rubric the others get.

The methodology backbone for everything below sits in how to keep a trading journal in a notes app: setup, expectation, falsification, outcome, weekly review. The apps in this roundup are what you use to apply that method. ESMA's required risk disclosures put the stakes plainly for retail traders: 74-89% of retail CFD accounts lose money, with average per-client losses ranging from €1,600 to €29,000 (ESMA, 2018). The journal is the feedback loop that lets you learn from the losses. The question is which surface you use to keep it.

Key Takeaways

• There is no single "best" trading journal app. The right answer depends on which part of trading you are trying to fix: the analytics layer (win-rate, R-multiple, drawdown), the qualitative layer (what you thought and why), or both at once via separate tools.
• The rubric is seven axes: broker integration depth, analytics computation, capture friction, asset class coverage, pricing model, privacy posture, and best fit.
• Tradervue is the longest-running category default with 80+ broker integrations (Tradervue, 2026). Edgewonk is the all-markets journal with a price-locked $197/year plan and a psychology layer (Edgewonk, 2026). TradesViz is the analytics-depth pick with 600+ charts and a permanent free tier (TradesViz, 2026). TraderSync is the US day-trader workflow pick (pricing not publicly displayed at write time; verify in-app). Chartlog is the chart-annotation-first option (pricing not publicly displayed at write time; verify in-app). Spreadsheet (Excel or Google Sheets) is the baseline most retail traders actually start with, and it is honest to include it. notetime is the lowest-friction line-level timestamped capture surface, paired with whichever analytics layer you already use.
• The wedge most trading journal apps miss: the qualitative why of each trade (what you thought, what you doubted, what you did off-plan) is what compounds into actual improvement. Most analytics-first journals capture the what of each trade but not the why. A line-level timestamped log paired with broker data is often the cleanest split.

What to Look For in a Trading Journal App

Most "best trading journal app" reviews compare on the wrong axes. Sticker libraries, theme counts, screenshot quality. The right axes are the seven that decide whether the app will be useful for the trading work you actually do, not the work the marketing page is pitched at. The rubric below applies to all seven entries, including the spreadsheet baseline and the app I built.

The seven criteria

1. Broker integration depth. Auto-import from broker APIs, CSV file import, or manual entry only. Higher is less data-entry tax for active traders. Active US day traders with 30 fills a day cannot manually enter trades and will not. Position traders with two trades a week can.

2. Analytics computation. Win rate, average R, max drawdown, equity curve, MFE/MAE, per-setup statistics. Higher is more out-of-the-box analytics; lower is "you compute it yourself or you do not compute it." This is the cell where analytics-first SaaS wins and capture-first tools lose by design.

3. Capture friction. From "trade closed" to "this trade is logged with my notes." Lower is better. Most analytics-first apps have high friction because they want structured data in fixed fields; capture-first tools have low friction because they accept any text. The qualitative why is the part friction kills first.

4. Asset class coverage. Equities, options, futures, forex, crypto, CFDs. Some apps lean US equities; others handle forex and futures natively. If you trade options spreads or futures contracts, half this list narrows to the apps that handle those instruments cleanly.

5. Pricing model. Free, freemium, per-seat subscription, one-time lifetime. Trading journals at prop-firm or team scale meet different price points than solo retail, and "lifetime" pricing in this category is more common than in the meeting-notes space.

6. Privacy posture. Where do your trade records live? Vendor cloud is standard for SaaS journals; spreadsheets and notetime keep records on-device or in your own cloud. For traders who are skittish about putting their P&L history in a third-party database, this row matters.

7. Best fit and honest limitation. Every app wins one cell of the rubric and loses one cell. Naming both is the credibility move.

The rubric is binary or low / mid / high per cell, not a numerical score. Numeric scores look fake and invite challenge. The point is the consistency of applying these seven axes to all seven entries, including the spreadsheet and the app I built. Every entry loses to at least one of the others on at least one criterion. If a row is all highs, the rubric is broken or the post is.

Tradervue: the category default with the broadest broker list

Tradervue is what most people mean when they say "trading journal app." It is the longest-running standalone SaaS in the category, and the wedge is broker breadth: the homepage advertises "80+ Trading Platform Integrations" including TradeStation, TD Ameritrade, Interactive Brokers, Lightspeed, TradeZero, DAS, Sterling, and E*TRADE (Tradervue, 2026). It positions the journal as a way to "identify patterns in trading behaviors" and overcome emotional decision-making through data-driven analysis (Tradervue, 2026). Tradervue also exposes TradingView chart integration for trade replay, which most competitors do not bundle natively.

Tradervue at a glance

• Pricing model. Free tier exists; paid Gold and Silver tiers exist but the live pricing page was not directly fetchable at write time. Verify the current Gold and Silver prices on the Tradervue pricing page before subscribing.
• Asset classes / brokers supported. Stocks, options, futures, and forex (crypto is not mentioned on the homepage). 80+ broker integrations including the major US retail brokers (Tradervue, 2026).
• Core feature. Auto-import from 80+ brokers, customizable journal with TradingView chart embeds, exit performance and theoretical-exit analysis, and a free tier substantive enough that one homepage testimonial reports continuing to use it.
• Best fit. Active US equities, options, and futures traders who want the broadest broker auto-import support and the longest track record in the category.
• Honest limitation. Crypto coverage is not advertised on the homepage. Pricing transparency is limited (you click into the pricing page to see tier-level detail), and the UI feels closer to 2015 than 2026 in places. The "import everything, analyze later" workflow is opinionated; if your wedge is the qualitative side of the journal, the structured-fields-first model is friction, not feature.

Broker integration: high (80+ platforms) / Analytics: high / Capture friction: medium-high (structured fields first) / Asset classes: stocks + options + futures + forex / Privacy: vendor cloud / Pricing: free tier + paid Gold/Silver (verify current prices) / Best fit: active US equities and options traders.

Tradervue wins where the friction is "I take 20 fills a day and I am not going to type them into anything." It loses where the friction is "I want to write a paragraph about what I was thinking at 9:47 AM, not pick a tag from a dropdown." For the trader who cares more about the why than the equity curve aesthetics, the structured-fields-first model is the wrong shape; the methodology in how to keep a trading journal in a notes app describes the alternative.

Edgewonk: the all-markets journal with a psychology layer

Edgewonk is the trading journal most popular with forex and futures traders specifically, and it is the rare SaaS in this category that openly covers "all markets: Forex, Stocks, Futures, Crypto, Indices, Commodities, Options" on its pricing page (Edgewonk, 2026). The product wedge is a psychology and rule-tracking layer ("tiltmeter") that sits on top of the standard analytics, plus an automated weekly "edge finder" report that scans for performance patterns and mistakes (Edgewonk, 2026).

Edgewonk at a glance

• Pricing model. One plan: $16.50/month billed annually as $197 once per 12 months, with a 14-day money-back guarantee. The pricing page says a price increase is coming, urging users to "lock in" the current price (Edgewonk, 2026).
• Asset classes / brokers supported. Forex, stocks, futures, crypto, indices, commodities, options. The pricing page references "Supported Brokers" and "Automated Trade Imports" without listing every broker on the public pricing page; verify your specific broker is supported before subscribing (Edgewonk, 2026).
• Core feature. Unlimited journals, trades, and accounts with 20 custom tag categories, profit-calendar and drawdown analytics, "trade management optimizer," strategy testing, automated weekly edge-finder report, and a psychology "tiltmeter" for rule-breaking tracking (Edgewonk, 2026).
• Best fit. Forex and futures traders, and any multi-market discretionary trader who wants the psychology and rule-breaking layer surfaced as first-class data alongside the equity curve.
• Honest limitation. Single price-per-year plan with no monthly option means the entry cost is $197 up front (refundable inside 14 days, but still). No free tier. The product surface is broad, and traders who only need the analytics will find the psychology features a learning-curve tax.

Broker integration: medium-high (automated imports, broker list not fully exposed on pricing page) / Analytics: high / Capture friction: medium / Asset classes: forex + futures + stocks + crypto + options + indices + commodities / Privacy: vendor cloud / Pricing: $197/year annual only / Best fit: forex and futures traders, multi-market discretionary traders.

Edgewonk wins where the friction is "I trade something other than US stocks and I want one journal that handles all of it." It loses where the friction is "I want to try before I pay $197." The 14-day money-back guarantee is the workaround, but the friction of an upfront annual charge is real.

TradesViz: the analytics-depth pick with a permanent free tier

TradesViz is the trading journal built for traders who want the analytics surface to be the product. The pricing page advertises "600+ Analysis Charts" on the Platinum tier, AI-powered Q&A and trade chat, options Greeks analysis, fully customizable dashboards, and 200+ broker integrations across US, Canada, India, and Australia (TradesViz, 2026). The Basic plan is "Free forever" with no credit card and includes a permanent 3,000 executions per month import allowance.

TradesViz at a glance

• Pricing model. Basic is free forever (3,000 executions/month, stocks only). Pro is $19.99/month or $14.99/month annual (saves 25%) with unlimited executions and Pro asset class coverage. Platinum is $29.99/month or $22.49/month annual, with 600+ analysis charts and additional analytics surfaces. 7-day free trials on Pro and Platinum (TradesViz, 2026).
• Asset classes / brokers supported. Basic: stocks only. Pro and Platinum: stocks, stock options, futures, futures options, forex, crypto, CFDs. 200+ broker integrations across US, Canada, India, Australia (TradesViz, 2026).
• Core feature. Industry-leading analytics depth (600+ charts on Platinum), AI Q&A and trade chat, options Greeks analysis, customizable dashboards (10 instances on Pro, expandable on Platinum), "trading plans / checklists and mistake analysis" with custom statistics.
• Best fit. Traders who want the deepest analytics surface in the category, especially options traders who need Greeks analysis, and international traders (Canada, India, Australia) whose brokers many competitors do not auto-import.
• Honest limitation. The 600+ analytics surface is itself a learning curve. Traders who do not know which 5 charts to focus on will drown in 600. The free tier is real but stocks-only and capped at 3,000 executions per month, which is tight for an active multi-asset trader.

Broker integration: high (200+ across US/Canada/India/Australia) / Analytics: very high (600+ charts) / Capture friction: medium / Asset classes: stocks + options + futures + forex + crypto + CFDs (Pro and up) / Privacy: vendor cloud / Pricing: free / $14.99 / $22.49 per month (annual) / Best fit: analytics-deep traders and international/multi-asset traders.

TradesViz wins where the friction is "I want every analytics chart that exists and an AI to answer questions about my trades." It loses where the friction is "I want the journal to stay out of the way and let me write." The product surface is large by design, and that is the cost of the depth.

TraderSync: the US day-trader workflow pick

TraderSync is one of the most popular trading journals among US day traders specifically, and it is the journal you will see recommended most often in equities-focused day-trading communities. The marketing surface emphasizes broker auto-import, AI-driven trade suggestions and mistake analysis, and a workflow built around US equities and options. The live pricing page was not directly fetchable at write time (the site returned a 403 to automated requests), so the tier-level pricing detail below is intentionally qualitative; verify current prices on the TraderSync pricing page before subscribing.

TraderSync at a glance

• Pricing model. Free tier with limited features; paid Pro and Premium tiers with AI features and full broker auto-import. Exact prices were not publicly readable at write time; verify in-app (TraderSync, 2026, unverified).
• Asset classes / brokers supported. US equities and options are the strongest fit; futures and forex coverage exists but is secondary in the marketing surface. Broker auto-import covers the major US retail brokers (verify your broker is supported).
• Core feature. AI-powered mistake and suggestion engine on top of the standard journal + analytics surface. Workflow is opinionated toward US equities day-traders.
• Best fit. US equities and options day-traders who want the AI-suggestion layer on top of standard analytics, and who use one of the major US retail brokers.
• Honest limitation. Pricing transparency was limited at write time; verify current Pro and Premium prices in-app before subscribing. The product is opinionated toward US equities; multi-asset and international traders are better served by Edgewonk or TradesViz.

Broker integration: high (US-focused) / Analytics: high (with AI layer) / Capture friction: medium / Asset classes: US equities + options (primary), futures and forex secondary / Privacy: vendor cloud / Pricing: free tier + paid tiers (current prices unverified, check in-app) / Best fit: US equities and options day-traders.

TraderSync wins where the friction is "I want AI to surface my repeating mistakes from broker-imported data." It loses where the friction is "I do not trade US equities" or "I want to read the public pricing page before signup."

Chartlog: the chart-annotation-first option

Chartlog is the trading journal where the chart, not the trade list, is the primary surface. The wedge is chart-annotation: you mark up your entries and exits on the price chart itself, and the journal lives around the chart rather than the other way around. The public marketing surface was not directly readable at write time (the request failed at the TLS layer), so the description below is intentionally qualitative; verify the current feature set and pricing on the Chartlog homepage before subscribing.

Chartlog at a glance

• Pricing model. Free tier and paid tier(s) exist; exact prices were not publicly verifiable at write time. Verify in-app before subscribing (Chartlog, 2026, unverified).
• Asset classes / brokers supported. US equities is the primary focus; verify support for your specific instrument and broker in-app.
• Core feature. Chart-first journal where annotations on the price chart are the primary record, with broker auto-import to populate trade markers on the chart.
• Best fit. Discretionary chart-readers (technical traders) for whom the chart is the unit of analysis and a tabular trade list is a less useful surface than a marked-up chart.
• Honest limitation. Public pricing and feature transparency was limited at write time. The chart-first wedge is opinionated; traders for whom the chart is not the primary surface (mean-reversion stat-arb, fundamental swing, multi-leg options) are not the target user.

Broker integration: medium / Analytics: medium (chart-anchored) / Capture friction: medium / Asset classes: US equities (primary) / Privacy: vendor cloud / Pricing: unverified at write time / Best fit: discretionary chart-readers.

Chartlog wins where the friction is "I want to see my entries on the chart, not in a spreadsheet row." It loses where the friction is "I want a paragraph of notes per trade, not an annotation layer."

Spreadsheet (Excel or Google Sheets): the baseline most retail traders actually start with

It is dishonest to write a "best trading journal app" roundup and pretend the spreadsheet is not the most-used trading-journal "app" in the world. It is. Most retail traders start with Excel or Google Sheets, and a meaningful percentage of profitable retail traders never leave the spreadsheet. There is no broker auto-import (you paste in CSVs or type fills), there is no built-in analytics (you write your own SUMIF formulas and pivot tables), and there is no opinion about how to structure your data (you decide the schema). That is the wedge and that is the cost.

Spreadsheet at a glance

• Pricing model. Free with Google Sheets (Google account required). Microsoft 365 Personal is $99.99/year and includes Excel desktop. Excel Web is free with a Microsoft account. The spreadsheet is "free" in the same way a paper notebook is free: the cost is the time you spend setting it up.
• Asset classes / brokers supported. Any. Spreadsheets do not care what you traded; you decide the columns. CSV exports from your broker import in seconds.
• Core feature. Total schema control. You decide which columns exist, which formulas compute, which pivot tables aggregate. The journal is exactly as flexible and exactly as fragile as the spreadsheet you build.
• Best fit. Traders who want full control of the schema and do not trust SaaS with their P&L; traders who already use spreadsheets for everything; small-account traders for whom $197/year on Edgewonk is more than they pay in commissions; quants and systematic traders who are going to query the journal with code anyway.
• Honest limitation. Zero automation. Analytics are exactly as good as the formulas you build. Column drift is a real problem after a few months: the schema you started with is not the schema you actually need by month four, and migrating a partially-filled spreadsheet to a new structure is unfun. No built-in chart annotations, no broker AI, no equity curve out of the box. Mobile capture is poor (typing fills into Google Sheets on a phone during the trading day is hostile).

Broker integration: low (manual CSV paste) / Analytics: depends on your formulas / Capture friction: medium-high (structured fields you built) / Asset classes: any / Privacy: high (your file in your own cloud or local) / Pricing: free or bundled with productivity suite / Best fit: schema-controlling, privacy-bound, or quant-leaning retail traders.

The spreadsheet wins where the friction is "I do not trust vendor cloud with my trade history" or "I am going to query this with Python anyway." It loses where the friction is "I take 30 fills a day and I am not building pivot tables." For the trader running a small account or a custom strategy, the spreadsheet is honestly the right answer for longer than most "best of" lists admit.

notetime: the line-level timestamped capture surface

notetime is the app I built. It is not a trading-journal app. It does not sync to brokers, compute R-multiples, or chart your equity curve. If your trading journal is fundamentally an analytics tool, every other entry on this list is built for that and notetime is not. notetime wins in a narrower but real cell: the trader who wants to capture what they thought and when alongside what they did, and who has decided the analytics layer belongs in something else (Excel, the broker's built-in P&L, or one of the SaaS journals above).

The cells where notetime is the right answer:

• Discretionary traders whose edge is in the decision-making process. If your journal is for self-review of mental state and process, not for P&L analysis, the qualitative capture layer is where the work happens. The methodology is how to keep a trading journal in a notes app: setup, expectation, falsification, outcome, weekly review.
• Traders who already pay for an analytics SaaS and want a separate surface for the qualitative notes. Most quants and many prop traders run this split: the broker-synced analytics tool computes the numbers; a free-form notes surface holds the why. notetime is the second tool in that pairing.
• ADHD and time-blind traders who need timestamped real-time capture during the trading day. The cognitive-science case is why timestamps beat tags; the ADHD-specific practice is interstitial journaling for ADHD; the clinical framing for time blindness is the case for timestamped journaling for time blindness.
• Multi-asset or unusual-asset traders whose broker the analytics tools do not support. If you trade an instrument the SaaS journals do not auto-import, you are doing manual entry anyway. A timestamped capture surface is more honest about that than a SaaS schema pretending to structure it.
• Privacy-bound traders who do not want trade records in vendor cloud. notetime is offline-first with device-level storage; trade thoughts stay on your device unless you turn on Pro cross-device sync.

The cells where notetime is not the right answer:

• Active day-traders whose journal IS the analytics layer. If win-rate, R-multiple, and per-setup statistics are the deliverable, one of Tradervue, Edgewonk, TradesViz, or TraderSync is the right answer.
• Prop-firm reviewees who need to show win-rate, drawdown, and R-multiples in a structured report. notetime cannot produce that artifact.
• Anyone who does not already have an analytics solution. notetime is the qualitative side of a two-tool stack; it is not the whole stack.

notetime at a glance

• Pricing model. Free for the core feature, no signup. Pro adds cross-device sync, cloud backup, and additional themes at $2.99/month, $29.99/year, or $39.99 lifetime (notetime, 2026).
• Platforms. iOS and web today. iPad and macOS in progress; Android on the roadmap.
• Core feature. Every line you type is auto-timestamped the moment you start typing. One continuous diary. No folders, no tags, no signup. App Store rating sits at 4.9 across the iOS listing (notetime, 2026).
• Best fit. Traders whose journal is fundamentally a qualitative record of decision process and mental state, paired with whatever analytics layer they already use (broker P&L, Excel, or one of the SaaS journals above).
• Honest limitation. No broker sync. No R-multiple. No equity curve. No CSV import of fills. Text only. If your wedge is "I want a robot to compute my drawdown from my Interactive Brokers feed," notetime is the wrong tool and one of the five SaaS journals above is the right one.

Broker integration: none (manual capture) / Analytics: none (qualitative only) / Capture friction: low (auto-timestamped, no fields, no signup) / Asset classes: any (text accepts anything) / Privacy: high (offline-first, device-level) / Pricing: free (Pro is $2.99/mo, $29.99/yr, or $39.99 lifetime) / Best fit: qualitative side of a two-tool journal stack.

The methodology that sits underneath notetime as a trading log is how to keep a trading journal in a notes app, the underlying note-taking practice is append-only journaling, the cognitive-science case is why timestamps beat tags, and the review practice is the two-week note review ritual. The honesty I owe the rest of this post: I built notetime for one specific friction (capture cost plus auto-timestamping on the qualitative side of the journal), and it does not solve the others. The cell where it loses is analytics. It is not a broker sync, not an equity curve, not a mistake-pattern detector. If your friction is one of those things, one of the six entries above is the right answer.

The Comparison Matrix

The matrix is the at-a-glance view. The per-app sections above are where the nuance lives. If you are skimming, scan for the row that is mostly highs on the criteria you care most about. If you are torn between two apps, read those two sections in full; the matrix is too compressed to make a final decision from.

App	Broker integration	Analytics	Capture friction	Asset classes	Privacy	Pricing
Tradervue	high (80+ platforms)	high	medium-high	stocks + options + futures + forex	vendor cloud	free tier + paid Gold/Silver (verify)
Edgewonk	medium-high (auto imports)	high (with psychology layer)	medium	forex + futures + stocks + crypto + options + indices + commodities	vendor cloud	$197/year annual only
TradesViz	high (200+, US/CA/IN/AU)	very high (600+ charts)	medium	stocks + options + futures + forex + crypto + CFDs (Pro+)	vendor cloud	free / $14.99 / $22.49 per month (annual)
TraderSync	high (US-focused)	high (with AI layer)	medium	US equities + options (primary)	vendor cloud	free + paid (prices unverified)
Chartlog	medium	medium (chart-anchored)	medium	US equities (primary)	vendor cloud	unverified at write time
Spreadsheet	low (manual CSV)	depends on your formulas	medium-high	any	high (your file)	free or bundled
notetime	none (manual capture)	none (qualitative only)	low (auto-timestamped)	any (text)	high (offline-first)	free; Pro $2.99/mo or $39.99 lifetime

No row is all highs. That is the point. Every entry in this matrix loses to at least one other on at least one criterion that matters to some trader. The right tool is the one whose row matches your particular trading mode, not the one with the most highs overall.

Which One Is Right for You

Seven routing scenarios. Each names one mode of trading work and the tool that fits it best. Read the one that matches you and skip the rest.

You are an active US equities or options day-trader and you want the broadest broker auto-import and the longest-running category default. Tradervue wins. 80+ platform integrations and a substantive free tier are the wedge.

You trade forex, futures, or multiple markets and you want a single journal that handles all of it, plus a psychology layer. Edgewonk wins. The all-markets coverage and the tiltmeter / weekly edge-finder are the differentiators worth $197 a year.

You want the deepest analytics surface in the category, with options Greeks and an AI Q&A on your trades. TradesViz wins. 600+ charts on Platinum and a stocks-only free tier that is genuinely usable.

You are a US equities or options day-trader and you want AI to surface your repeating mistakes from broker-imported data. TraderSync wins. The AI suggestion layer is the wedge; verify current pricing in-app before subscribing.

You are a discretionary chart-reader for whom the chart is the unit of analysis and a tabular trade list is less useful than a marked-up chart. Chartlog wins. Verify current features and pricing on their site before subscribing.

You want full schema control, you do not trust vendor cloud with your P&L, or you are running a small account where $197/year is more than you pay in commissions. A spreadsheet wins. Free or bundled, total flexibility, and your file lives in your own cloud or local. Plan for the column-drift problem at month four.

Your edge is in the decision-making process more than in trade selection, and you already have an analytics solution (Excel, broker P&L, or one of the five SaaS journals above) for the numbers. notetime wins. The qualitative side of a two-tool journal stack, with auto-timestamped capture and no signup. The methodology is how to keep a trading journal in a notes app; the philosophy is why timestamps beat tags. This is the only place I would steer the reader toward the app I built rather than one of the others.

The honesty here is the point. Saying "Tradervue wins" or "TradesViz wins" or "the spreadsheet wins" inside a post on this blog is what makes the rest credible. If a comparison post you are reading has the author's product winning every category, the post is a sales page in comparison clothing.

Frequently Asked Questions

What is the best trading journal app?

There is no single answer; it depends on what part of trading you are fixing. For broker auto-import breadth on US equities and options, Tradervue is the category default. For multi-market coverage (forex, futures, crypto) with a psychology layer, Edgewonk fits. For the deepest analytics surface in the category, TradesViz fits. For US day-traders who want AI mistake-pattern detection, TraderSync fits. For chart-first discretionary traders, Chartlog fits. For full schema control and privacy, a spreadsheet fits. For the qualitative why of each trade paired with an analytics layer that lives elsewhere, notetime fits. Pick the row whose match is closest to your trading mode.

Is a spreadsheet enough as a trading journal?

For many retail traders, yes. A spreadsheet gives you total schema control, full privacy (your file in your own cloud or local), and zero subscription cost. The cost is that you build the analytics yourself with SUMIF formulas and pivot tables, you paste CSV exports manually, and you live with column drift as your schema evolves. If you are running a small account, a custom strategy, or you are quant-leaning and going to query the journal with code anyway, the spreadsheet is honestly the right answer for longer than most "best of" lists admit. If you take 30 fills a day across multiple instruments, the manual-entry tax stops being sustainable.

Do I need a trading journal if my broker has analytics?

The broker's analytics show what you did. The journal shows why you did it. ESMA's required risk disclosures put the stakes plainly: 74-89% of retail CFD accounts lose money (ESMA, 2018); whatever the losing 74-89% are doing, they have access to the same broker analytics dashboard the winning 11-26% do. The journal is the feedback loop that lets you connect what you thought to what you did to what happened. The broker P&L is necessary but not sufficient.

Can I use a notes app as a trading journal?

Yes, and a meaningful subset of profitable discretionary traders do exactly that, especially when they pair it with a separate analytics surface (broker P&L, Excel, or one of the SaaS journals above). The methodology in how to keep a trading journal in a notes app describes the practice: one-line setup, expectation, falsification, outcome, plus a weekly review. The underlying note-taking method is append-only journaling; the case for timestamps as the index is why timestamps beat tags. A timestamped notes app like notetime is the qualitative half of a two-tool stack, not a replacement for analytics.

The Short Version

There is no single best trading journal app. The right one is the one whose architecture matches the part of trading you are trying to fix, scored against the seven criteria above. Analytics-first SaaS (Tradervue, Edgewonk, TradesViz, TraderSync, Chartlog) fits traders whose journal IS the analytics layer. A spreadsheet fits traders who want full schema control and privacy. A capture-first surface (notetime) fits traders whose edge is in the qualitative why and who already have an analytics solution for the numbers. Pick the row in the matrix that matches your mode and stop reading.

I built notetime because the friction I hit hardest was the qualitative side of the journal, where a structured-fields SaaS forced me to compress a paragraph into a tag and an analytics dashboard could not hold the why of what I did at 9:47 AM. That is not the same as saying it is the best of the seven. It is one of them, with a real strength on one cell of the rubric and an honest set of misses on the others.