The 5 Best Trading Journals for TradingView Users (2026 Tested)

Most journals were designed for live traders with broker accounts. If you backtest in TradingView, you need something built for a completely different workflow.

The Problem With Most Trading Journals

Here's a scenario that will sound familiar.

You block off a Saturday morning for backtesting. Four hours in Bar Replay — stepping candle by candle through historical price action, making real-time decisions, annotating your setups with TradingView's PnL tool, capturing multi-timeframe screenshots. It's focused, productive work. You finish with 40 trades documented in your screenshots folder.

Then you open your journal.

The energy immediately drains out of you. You have 40 screenshots open. Now you need to manually type the pair name, direction, entry price, stop loss, take profit, timeframe, and notes for each one. The data you need is right there in the images — visible on every single screenshot. But your journal can't read images. So you type. For two hours.

This is why most TradingView backtesting traders have hundreds of unlogged trades sitting in a screenshots folder somewhere. Not because they lack discipline. Because the workflow is fundamentally broken.

The best trading journals for TradingView users don't just store your data — they extract it from your screenshots. Below, we've ranked and reviewed the five most relevant options available in 2026, evaluated specifically on how well they serve the TradingView backtesting workflow.

How We Evaluated Each Journal

Every journal was scored across six criteria chosen specifically for TradingView users. A general trading journal might score well on analytics and still be wrong for your workflow. These criteria reflect what actually matters when your primary data source is screenshots.

1. TradeJour

Best for: TradingView backtesting traders who want to eliminate data entry

Total: 56/60

TradeJour is the only journal on this list built specifically around the TradingView screenshot workflow. Not adapted for it — built for it. Every product decision, from the upload interface to the verification step to the field structure, is oriented around a single assumption: your screenshots already contain all the data you need to log a trade, and your job is to verify rather than retype.

How the Extraction Works

Upload a TradingView screenshot — or drag in multiple at once — and an AI pipeline runs automatically in the background. Google Cloud Vision OCR extracts the text visible in the image: the currency pair from the chart header, price labels, timeframe, date, and any text annotations or bubble notes you've written on the chart.

In parallel, Claude Vision API analyses the visual structure of the chart itself — the position and colour of PnL tool boxes, which level sits above entry and which sits below, directional indicators from drawing tools. The two sources are merged with per-field confidence scoring. If OCR is uncertain about a price level, the visual analysis fills the gap. The result is a pre-populated trade entry ready for your review.

Your role in the process is verification, not creation. Confirm the extraction is correct, add any additional context, and save. For a well-annotated TradingView screenshot, this typically takes 30–60 seconds per trade.

For a 40-trade backtest session, total logging time drops from 90+ minutes of manual entry to roughly 10–15 minutes of reviewing AI-extracted data. Across a year of regular backtesting sessions, that difference compounds into 60–80 hours returned to analysis.

Multi-Screenshot Support: HTF → LTF

Most serious TradingView traders work across multiple timeframes. A typical setup looks like this:

• Daily/Weekly: Identify higher-timeframe trend, key support/resistance levels
• 4H/1H: Confirm structure, find area of value
• 15M/5M: Locate the entry trigger

That's three screenshots representing a single trading decision. Logging only the entry chart discards the higher-timeframe context — which is often the most important part of the story.

TradeJour supports multiple screenshots per trade. Upload your daily bias chart, your 4H setup chart, and your 15M entry chart together as one trade record. When you review that trade six months later, you see the complete picture — the reasoning that led to the decision, not just the outcome.

Most journals don't support this. They give you one screenshot slot and make you choose which part of your analysis to keep.

What TradeJour Doesn't Do

Honest limitations worth knowing: TradeJour does not support broker imports. If you need live trading data automatically synced from your broker account, this isn't the tool yet. Analytics are functional but not as deep as Edgewonk — you get win rate, R-multiple, pair performance, and tag analysis, but not the multi-dimensional filtering that experienced analysts want. The AI extraction is also calibrated for TradingView's visual style specifically; other charting platforms will see lower accuracy.

For TradingView backtesting traders, none of these are blockers. For live traders with broker sync requirements, they're worth noting.

Pricing

• Free plan: Limited monthly uploads, enough to test the full workflow
• Pro: $29/month or $199–$299 Lifetime (two tiers)

Scores:

2. Edgewonk

Best for: Live traders who want deep analytics and don't mind manual entry

Total: 34/60

Edgewonk has been the most consistently recommended trading journal in professional communities for nearly a decade. That reputation is deserved — it's analytically comprehensive, thoughtfully designed, and built by people who clearly understand how serious traders think about performance data. If you want to go deep on your metrics after the data is logged, Edgewonk gives you the tools to do it.

But for TradingView backtesting traders, there's a structural limitation that's hard to work around: there is no screenshot extraction. Every trade is entered manually. Every field. Every session.

What Edgewonk Does Well

The analytics dashboard is the product's clear strength. Once your data is in the system, you can cut it by session, day of week, setup type, market condition, custom emotional state tags, or any other variable you've defined. The reporting infrastructure is mature and genuinely flexible. Specific questions like "does my edge disappear on Fridays?" or "what's my expectancy when I enter after consolidation versus breakout?" are answerable with Edgewonk in ways most tools don't support.

The desktop application model means your data lives locally. No server dependency, no cloud subscription required, full offline access. For privacy-conscious traders or those in environments with unreliable internet, this is a meaningful practical advantage.

Edgewonk's broker import integrations are also genuinely useful for live traders. If your broker is supported, executed trades populate automatically — no entry required. For live-only traders, this removes data entry from the equation entirely.

The Manual Entry Problem for Backtesting

The issue is mathematical. A thorough manual entry in Edgewonk — pair, direction, entry price, stop loss, take profit, session, tags, notes, attached screenshot — takes roughly 5–7 minutes per trade. For a 40-trade backtest session, that's 3.5–5 hours of post-session logging.

In practice, most backtesting traders who use Edgewonk adapt by logging less: fewer fields, less detailed notes, sessions batched weekly. The journal stays technically active, but the dataset degrades. Incomplete data produces unreliable analytics — which defeats the purpose of having powerful analytics in the first place.

"The best analytics suite in the world is useless if data entry friction stops you from building the dataset."

Edgewonk also stores screenshots as file attachments — images you can open and look at, but that the software doesn't read. The data visible in the image still needs to be typed in separately.

Pricing

€169/year (~$180). Single-tier pricing.

Scores:

3. TraderSync

Best for: Live traders with supported broker accounts

Total: 31/60

TraderSync is a well-built cloud-based journal designed primarily around broker integration. Connect a supported live account and your executed trades import automatically — entry price, exit price, position size, P&L. For live traders on a supported broker, this removes data entry completely through a different mechanism than TradeJour: it reads your broker's execution feed rather than your screenshots.

Where TraderSync Works Well

If you're a live equities, futures, or forex trader with one of TraderSync's supported brokers, the workflow is genuinely smooth. Trades appear automatically. You add notes and screenshots after the fact. The analytics dashboard is clean, mobile-accessible, and provides solid performance breakdowns. The mobile app is one of the better ones in this category — useful for reviewing your stats or logging quick notes when you're away from your desk.

The Backtesting Mismatch

The fundamental problem for TradingView users is structural: backtesting trades don't exist in your broker account.

When you backtest using Bar Replay, you're simulating trades in historical price action. There's no execution data for TraderSync to import. You're back to manual entry — and TraderSync's interface, while competent, is not designed for the TradingView screenshot workflow. No extraction, no multi-screenshot support, no understanding of TradingView's visual annotation format.

The time comparison is unforgiving. For live trades, TraderSync might take 30 seconds (auto-import). For backtest trades in TraderSync: 5–8 minutes of manual entry. For backtest trades in TradeJour: 60 seconds. If backtesting is a significant part of your trading practice, TraderSync offers no meaningful advantage over a spreadsheet — at a significantly higher price.

Pricing

$29–79/month depending on plan tier.

Scores:

4. TradeZilla

Best for: Budget-conscious beginners who want something better than a spreadsheet

Total: 34/60

TradeZilla is a web-based journal with a clean interface and a price point that makes it an easy starting point. It handles basic screenshot storage, provides a solid set of performance metrics, and requires minimal setup. For traders just beginning to build a journaling habit, there's a genuine case for starting here before committing to a more expensive tool.

What TradeZilla Does Well

The interface is genuinely accessible. Setup takes minutes. Core performance metrics — win rate, P&L curve, average risk/reward, performance by pair — are displayed clearly without requiring configuration work. It runs in the browser, meaning no installation and cross-device access from day one.

For traders logging modest volumes who primarily need a clean, organised record with visual screenshot attachments, TradeZilla gets the job done without friction.

The Extraction Gap

TradeZilla stores screenshots as attachments, not as data sources. All trade fields require manual entry. There's no TradingView-specific integration, no multi-screenshot support per trade, and the analytics depth is limited compared to Edgewonk or TraderSync.

For high-volume TradingView backtesting traders, the manual entry constraint creates the same friction problem as every other tool except TradeJour. The workflow is marginally faster than a spreadsheet — you're using a cleaner interface — but the core problem (typing data that's already in your screenshots) remains unsolved.

Pricing

$15–30/month depending on plan tier.

Scores:

5. Notion / Google Sheets (DIY)

Best for: Traders who enjoy building systems and log under 10 trades per month

Total: 24/60

The DIY approach — a Notion database, a Google Sheets template, or a custom Excel workbook — is where almost every trader starts. It's free. It's flexible. Free templates exist in every trading community and can be copied in five minutes. For traders who are just beginning and aren't sure what they need, there's nothing wrong with starting here.

The Genuine Case for Spreadsheets

Free is a powerful argument. If you're backtesting occasionally and logging small volumes, the overhead is manageable. If you have strong Excel skills and very specific reporting requirements that no commercial tool supports, a custom-built solution can genuinely outperform anything you'd buy.

There's also a "don't over-engineer it" argument. Getting into the habit of logging anything — even imperfectly, in a basic spreadsheet — is better than not logging while waiting to find the perfect tool.

The Hidden Costs

The "free" label fades when you account for time. Manual entry at 6 minutes per trade means a 40-trade session requires four hours of data entry work. Across a year of weekly backtesting, that's 100+ hours spent on admin instead of analysis.

The abandonment problem is real too. Spreadsheet journals have significantly higher abandonment rates than dedicated tools — not because traders lack discipline, but because friction accumulates. Miss one session, feel guilty, let it pile up, start over with a new template. The graveyard of abandoned spreadsheets is where backtesting data goes to die.

There's also maintenance overhead that dedicated tools absorb for you: data validation (preventing format errors), calculated fields (R:R, expectancy), automatic timestamps, screenshot linking, backups. Each of these requires either manual discipline or Excel/Sheets expertise to handle cleanly. Time spent maintaining your journal infrastructure is time not spent on trading.

Pricing

Free. Time cost: significant.

Scores:

Overall Comparison

The Verdict

For TradingView backtesting traders, the conclusion is straightforward: TradeJour is the only tool on this list that actually solves the core problem.

Every other journal — regardless of how polished the interface, how deep the analytics, or how well-regarded the product — requires you to manually type data that's already sitting in your screenshots. That's the friction that kills journaling consistency. TradeJour is the only tool here that eliminates it.

The scoring gap reflects this. TradeJour leads by a significant margin on the criteria that matter most for TradingView users: screenshot extraction, TradingView-specific compatibility, multi-chart support, and ease of use. It scores lower on analytics depth than Edgewonk — a real limitation worth acknowledging — but for most traders building a backtesting habit, the completeness of their dataset matters more than the sophistication of their reporting tools. Clean, complete data analysed with simple metrics will always outperform fragmentary data run through a powerful dashboard.

If You're a Live Trader

If your primary use case is live trading — real orders from a real broker account — the calculus shifts. Edgewonk and TraderSync both offer broker import integrations that automate live trade logging in ways TradeJour currently doesn't support. Between those two, Edgewonk wins on analytics depth while TraderSync wins on cloud access and mobile. Your choice depends on which matters more to your review process.

If you both backtest heavily and trade live, the hybrid approach makes sense: TradeJour for backtesting sessions (fast, screenshot-native workflow), Edgewonk or TraderSync for live trades (broker sync handles the entry automatically).

The Bottom Line

Most trading journals were built for live traders who import from brokers. TradingView users are an afterthought — expected to adapt a tool designed for a different workflow. TradeJour was built from the opposite assumption: your screenshots are the data source, your job is verification, and journaling should take less time than the trade itself.

"The best trading journal isn't the one with the most features. It's the one you'll actually use consistently enough to build real data."

If you backtest on TradingView and want a journal that fits your actual workflow, start your free TradeJour trial →. Upload one session's worth of screenshots and see how long it takes.

The difference speaks for itself.

Related reading:

• Edgewonk vs. TradeJour: Which Is Right for Your Workflow?
• The Professional's Guide to Manual Backtesting on TradingView
• Why 90% of Trading Journals Get Abandoned (And How to Fix It)