What Is an AI Trading Journal and What Navrya Reads

Navrya is an AI trading journal that reviews a logged trade against the trader's own plan and strategy and gives no signals. An ordinary journal keeps two things: the numbers of a trade and the reason for it. AI adds one job: it reads the two together, and against your own rules, and says where they did not fit. Its value depends on what you recorded; a trade with no reason and no stop has little to review.

It is

A review of a logged trade against your own plan, strategy, session and analysis profile; reading an exchange screenshot; analysing the charts you add to a session; an assistant that fills in forms for you.

It is not

Signals, price prediction, automated trading, a connection to a broker or exchange, or financial advice.

You run the review yourself, with the AI analysis button on a trade, and the AI reads what your journal links to that trade: the trade itself, its screenshots, the session and its scenarios, the strategy's rules and your analysis profile. The browser gathers these and sends them:

• The trade itself: direction, symbol, entry, stop, targets, size, leverage and result; and, if you applied an exchange statement, the actual fill figures.
• Up to four screenshots of the trade.
• The session the trade belongs to: the thesis, the scenarios with the probability you gave each, and your read of each timeframe.
• The rules of the strategy the trade is linked to.
• Your analysis profile: your style, focus areas and the concepts you have taught it.

All of this is treated as data for the model, not as instructions. The answer is cleaned before it reaches your journal; for example, a concept that is not in your profile is removed from it.

A structured text about that one trade: a summary with a confidence level, five probabilities with their reasons, mistakes by area and severity, strengths, the status of each strategy rule, and how the trade relates to the session's analyses. There is no buy or sell verdict for the next trade in it.

• A headline and a short summary, with a confidence level of low, medium or high.
• Five probabilities, each with its reason: reaching the target, the scenario playing out, the timeframes agreeing, the quality of the plan and the quality of the execution.
• Mistakes with their severity, by area: entry, stop, target, risk, timing, analysis, psychology, execution and rules.
• Strengths, and suggestions to improve.
• The status of each strategy rule: followed, broken or unclear.
• How the trade relates to the session's analyses: aligned, partly aligned, in conflict or unrelated.

A review is a snapshot: it says when and from what it was made, and if you edit the trade afterwards or a new analysis is added to the session, it is marked stale so you can run it again.

A sheet and a paper journal keep whatever you write and cost the same effort: you write the size and R formulas yourself and do the review yourself. Journal apps automate part of that. What sets Navrya apart is that it reads the trade against your own plan and rules and keeps your state next to the numbers; what no column can hold is marked "no" in the table.

If you start with a sheet, the academy's template guide lists the fields to give a column each and what each one is for; whenever you want, the same fields are in Navrya's trade form and the reflection after it, and the app fills in the calculated columns.

• Trading journal templateThe fields for each trade, and what each one is for.
• What a trading journal isWhat to record, and how logging works in Navrya.

A trade is logged with the plan's numbers, but the exchange fills at its own price and charges its own fees. You can give a screenshot of the statement or the order history, and the AI reads the entry, exit, fees and the recorded profit or loss.

The rule is that a figure not visible in the image stays empty; the model neither guesses nor calculates one itself. Whatever was read is shown to you before it is applied, and you confirm it.

In a session you add up to four charts for the symbol and timeframes you are watching, and the AI reads them together, across timeframes. A session has its own memory, so a new analysis builds on the earlier ones in the same session. On a phone, the app draws the chart image from market data, so you can run the analysis without a screenshot.

The AI assistant can fill in and submit the app's forms for you, take you to any section and answer questions about Navrya itself. Any risky action, such as deleting, closing or cancelling a trade, publishing a post or sending a message, waits for your explicit yes.

When the assistant fills in a trade whose risk exceeds the strategy's maximum risk or the account's daily loss cap, it asks you to confirm, and it warns you when there is no stop.

Each AI request is paid from your AI wallet or, on plans that allow it, with your own API key; logging trades and the calculator work without AI. Your data stays in your account, and only what a request needs is sent to the provider that answers it.

• Memory: what the assistant remembers about you is shown in the Memory tab; you can export it as JSON, clear it or turn it off.
• Cost: the AI assistant page shows what you have spent so far.
• Providers: they are listed on the privacy page.

• PrivacyWhat is stored, and which AI provider it goes to.
• PricingThe plans and the AI wallet.

Navrya does not connect to any broker or exchange, places no orders, and any figure it reads from an image must match your own statement. The review is only as good as what you recorded.

• You enter accounts and trades yourself.
• Any figure the AI reads from an image must match your own statement before you use it.
• Psychology insights appear only once your logged trades are enough to say something real.
• The review is built from your own data; if you did not write the plan, the reason or the stop, the review is just as incomplete.
• Logging trades, the trade calculator and the risk rules work without any AI request; the AI runs only when you ask for it.

Log one week without AI first: the plan before the entry, the reason, the stop and how you felt. Then run a review on a few trades from that week and see which mistake appears more than once. That is what the weekly review goes after.

• What a trading journal isWhat to record, and how logging works in Navrya.
• The weekly journal reviewA routine that turns reviews into one concrete change.
• Trading journal templateThe fields that make the review sharper.