JournalX is a trading journal for active, self-directed traders who want a real feedback loop on their performance. Log, plan, and analyze every trade in one workspace, then use your own data to work out what is working in your strategy and what is not.
Most journals are a record of what already happened. JournalX starts one step earlier. You write the plan before you take the trade (setup, entry, stop, target, size), take the trade, and the journal reconciles the plan against the execution. Over a few hundred trades, that gap between what you planned and what you did becomes the most useful data you have, and almost nothing else measures it.
Your strategy lives in the product as Gameplans: reusable entry and risk rules you define once, attach to trades, and review for adherence. Pair that with a filter builder that stacks conditions (setup, session, symbol, tag, win or loss) and you can answer a specific question instead of staring at one blended P&L number. An AI assistant works over your own trade history, so you can ask why a month went badly and get an answer grounded in your trades rather than a generic tip.
Trades arrive by broker auto-sync, CSV import with column mapping, or manual entry. Stocks, options, futures, forex, and crypto are all supported, with multi-account and multi-currency tracking.
A startup from Dover, the United States that is founded by Santhosh V S.
Pre-Trade Planning
Write the plan before you take the trade (setup, entry, stop, target, size), then compare it against what you actually executed.
Rule-Based Gameplans
Define your strategy as reusable entry and risk rules, attach them to trades, and review whether you followed them.
Performance Analytics
Dashboards for P&L, expectancy, win rate, profit factor, average win and loss, drawdown, and R-multiples over any date range.
Broker and Exchange Auto-Sync
Connect a broker or crypto exchange and trades import automatically, so the journal stays current without manual entry.
Multi-Asset Support
Track stocks, options, futures, forex, and crypto in the same journal, with the right fields for each instrument type.
AI Trading Assistant
Ask questions about your own trade history in plain language, break down a losing stretch, or draft gameplans and notes from your data.
Composable Filter Builder
Stack relational filters by setup, session, symbol, tag, or outcome to slice performance and answer a specific question.
JournalX started from a problem most traders recognise. You keep a spreadsheet, it grows to forty columns, and at some point you quietly stop updating it. Even when you do keep it current, it tells you what your P&L was without telling you why.
The existing journals solved half of that. They import trades and produce charts. But they still only look backward, at decisions already made and no longer changeable. The idea behind JournalX was that the interesting data is the difference between the trade you planned and the trade you actually took. Capture the plan first and the journal can show you where discipline broke down, not just where money was lost.
So the product was built around that loop: plan, execute, reconcile, review. Everything else, the analytics, the Gameplans, the notes, the AI assistant, the broker sync, exists to make that loop fast enough to run every single day.
Most trading journals are a record of what already happened. JournalX starts one step earlier.
You write the plan before you take the trade: setup, entry, stop, target, position size. Then you take the trade, and the journal reconciles the plan against what you actually did. Over a few hundred trades, that gap between the trade you planned and the trade you took is usually where the real problem lives, and almost no other journal measures it.
Three reasons.
Pre-trade planning. TradeZella, TraderSync, Tradervue, and Edgewonk are all capable at post-trade analysis. None of them ask you to commit to a plan before entry and then score you against it. That is the habit that actually changes behaviour, and it is what JournalX is built around.
Speed and interface. A journal only works if you use it every day. JournalX is fast, navigable from the keyboard through a command palette, and designed so a daily review takes minutes rather than becoming the chore you skip.
Price and coverage. Starter is $24/mo, or $19/mo billed annually. Pro is $49/mo, or $29/mo billed annually. Stocks, options, futures, forex, and crypto are supported at every tier, with broker auto-sync, CSV import, and manual entry, and there is a 7-day free trial.
Active, self-directed retail traders who treat trading as a craft and want a real feedback loop on their performance. That spans day and swing traders, and futures, options, forex, and crypto traders across global markets.
JournalX appears to be a solid choice for those seeking a dedicated journaling or trading journal platform, offering useful tracking and analytics features, though prospective users should verify current offerings and pricing directly since specific details may vary.
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Check the traffic stats of JournalX on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of JournalX on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of JournalX's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of JournalX on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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