AI Trade Analyzer for an Intraday Setup

This AI trade analyzer reviews an intraday setup you enter by hand: entry, target, stop, position size and your context. The form has no chart screenshot upload. It does not establish the next market move. Its scores and estimated win probability are not verified odds of success, and the AI can make factual or arithmetic mistakes.

Start with the trade details you want reviewed

An AI trade analyzer is useful only if the question matches its inputs. Here, you provide the proposed trade. The form does not independently establish that your quoted price, chart level, event information or strategy description is correct.

A useful review asks whether the plan is clear, whether the quantity fits the stated loss allowance, and what assumptions are missing. A response that sounds confident does not validate the setup. FINRA's guidance on automated tools stresses that results depend on the information and assumptions supplied.

What this AI intraday analyzer checks in your plan

The analyzer looks at the plan you type in, not at the market. It reads the direction, instrument, entry, target, stop loss, quantity and capital, and in Detailed mode your reasoning, market context and checklist. From those it reports the planned distance to stop and target, the reward compared with risk, the share of capital at risk and a written review.

• Risk and reward: how far the target and stop sit from the entry, and the ratio between them.
• Capital at risk: the planned loss as a share of the capital you enter.
• Missing pieces: an unclear trigger, no invalidation rule, or a size that does not fit the stated loss limit.
• Consistency: whether the stated reasoning matches the numbers, for example a tight stop with a very wide target.

It does not check the live price, read a chart or confirm that an event is on the calendar. Time of day is only something you can describe in your own words. That is why the quality of the review depends on how carefully you write the setup, which the sections below cover. For the numbers alone, the risk and reward calculator does the same distance arithmetic.

The active Quick and Detailed controls

Quick has no free-text intraday setup box. To explain the setup in your own words, use Your Trade Reasoning in Detailed. Choose the relevant strategy there as well. The broad AI review on this page is shared with the AI trade analyzer.

For stocks, Qty means shares. For the index choices, Lots is multiplied by the instrument's configured quantity. Confirm the current contract units before trusting the rupee totals. For options, use a consistent premium-price plan; mixing an index entry with an option stop makes the arithmetic meaningless.

A made-up share example with checkable arithmetic

In Quick, choose Stock/Equity and Long. Enter Entry ₹500, Target ₹520, Stop Loss ₹490, Qty 50 and Capital ₹1,00,000. These are fictional planning inputs, not a trade recommendation, actual market prices or a sample AI prediction.

• Planned loss before costs: (₹500 − ₹490) × 50 = ₹500.
• Planned reward before costs: (₹520 − ₹500) × 50 = ₹1,000.
• Reward compared with risk: ₹1,000 ÷ ₹500 = 2, displayed as 1:2.0.
• Capital at planned risk: ₹500 ÷ ₹1,00,000 × 100 = 0.5%.

The position value is ₹500 × 50 = ₹25,000. That is different from the ₹500 planned loss and the account's ₹1,00,000 capital. In Detailed, the stop distance is also shown relative to entry: (₹500 − ₹490) ÷ ₹500 × 100 = 2%. The 2% price distance and 0.5% capital risk answer different questions.

The planned loss is conditional on execution at the stop. With an invented ₹100 total cost, the same exit loses ₹600 overall. If a fictional price gap instead leads to execution at ₹485, the gross loss is (₹500 − ₹485) × 50 = ₹750 before costs. The displayed plan cannot cap every possible outcome.

Example: reviewing an opening-range breakout plan

An opening-range breakout waits for the first stretch of the session to set a high and a low, then plans a trade if price moves beyond one of them. The idea is described on the opening range breakout page. The numbers below are invented to show how the form handles such a plan. They are not a real stock, price or signal.

In Quick, choose Stock/Equity and Long. Say the opening range of a fictional stock was ₹406 to ₹412. Enter Entry ₹412.50, Target ₹425, Stop Loss ₹406, Qty 100 and Capital ₹2,00,000. The strategy field can carry the label you use for the setup.

• Planned loss per share: ₹412.50 − ₹406 = ₹6.50, so ₹650 for 100 shares.
• Planned reward per share: ₹425 − ₹412.50 = ₹12.50, so ₹1,250 for 100 shares.
• Reward compared with risk: ₹1,250 ÷ ₹650, about 1.92, shown as roughly 1:1.9.
• Capital at planned risk: ₹650 ÷ ₹2,00,000 × 100, about 0.33%.
• Position value: ₹412.50 × 100 = ₹41,250.

What would you do with the feedback? Suppose the review asks what happens if price falls back inside the range after the breakout. That is a prompt to write the rule: for example, exit if a candle closes back inside the range, even before the stop. Suppose it points out that the stop sits at the far edge of the range, so a small false break costs the full planned loss. You might then decide to accept the lower size or skip the trade. The review gives you questions. The decision stays yours.

A gap through the stop would cost more than ₹650. If a fictional fill came at ₹400 instead, the gross loss would be (₹412.50 − ₹400) × 100 = ₹1,250 before costs, which is the whole planned reward. The form cannot cap an outcome like that.

Describe the evidence and the uncertainty

In Detailed, give the actual instrument or stock symbol, the chart period, the observation time and the rule that would invalidate the idea. Explain whether the entry is planned or already executed. Distinguish a level you observed from a target you selected.

Market context can include your trend selection, volatility view, session and whether you marked an event or expiry day. Those selections are inputs to the review; they do not prove the event was checked or the contract date is correct. A diagram drawn from entered prices is also not a market chart.

Avoid putting account passwords, payment details or broker credentials in trade reasoning. They have no role in assessing a price plan. Keep factual context concise enough to check against the original chart and broker screen.

Writing a setup the AI can review well

A vague note gets a vague review. Use Your Trade Reasoning in Detailed to write the parts below in plain sentences. A reader should be able to check each part against your chart afterwards.

1. Instrument and timeframe: the exact symbol or contract, and the chart period you are reading.
2. The level: the price you are watching and why it matters, such as the opening-range high or a previous day high.
3. The trigger: what must happen before you enter, for example a candle closing above the level.
4. The stop logic: where the idea is wrong, and why the stop sits there.
5. The target: where you plan to exit and whether it is a level you saw or a distance you picked.
6. The size: quantity, the loss you accept in rupees and the capital that loss relates to.

Write what you saw, not what you hope for. "Price closed above the opening-range high on the five-minute chart" can be checked. "This looks very strong" cannot. If you plan to log the trade afterwards, copy the same sentences into the notes field so the later review compares like with like.

Read scores as form-based summaries

Trade Score combines risk/reward, capital-risk size, checklist completion and the trend you selected. It describes those inputs under preset rules. It is not a measured ranking of the trade against a historical sample.

Est. Win Probability, Expected Value and Kelly Fraction use an assumed success rate derived from the reward/risk ratio. Expected Value means an average outcome under those assumptions; Kelly is a sizing method that needs a reliable outcome model. This form does not establish that model from your trade history, so these outputs cannot prove a profitable edge or a suitable position size.

Margin Required (Est.) is based on a fixed share of position value. It is not a current broker margin calculation for your selected stock, futures or option contract. A margin estimate and a planned stop loss are different constraints.

The Detailed AI response's Confidence value reflects how much expected structure and content the system found in the reply. It does not measure accuracy or the probability that the target will trade. Check the reply's claims and arithmetic independently, even when its verdict sounds assertive.

What this page cannot establish

• An actual future price, entry opportunity or dependable trading signal.
• Whether the entered facts match the current market.
• Strategy profitability from historical testing.
• The final price at which a broker order will execute.
• A personalised investment decision from a score or verdict.

The AI may overlook missing context or introduce unsupported statements. The joint SEC, NASAA and FINRA investor alert warns that AI information can be inaccurate, incomplete or stale. Check every material claim before using it to change your plan.

OneTradeJournal is a manual journal, not a broker or SEBI-registered adviser. It places no orders. This analyzer reviews a supplied setup; the separate paid journal features include chat over logged trades and AI analysis. Account access and usage limits apply, so a free journal account should not be read as unlimited AI use.

What AI can and cannot do for intraday traders

AI can help with the parts of trading that are about process. It can restate your plan, calculate distances, point out a missing stop or ask which condition would cancel the trade. That is useful when you are tired or rushing, because a second reader tends to catch gaps.

It cannot predict where price will go. No tool can. A fluent answer is not evidence, and a high score is not a measured chance of success. Our guide on whether AI can predict the market goes deeper.

There is also a habit risk. If you start waiting for the review to tell you to trade, the tool is doing your thinking for you. Keep your written rules first, use the review to test them and treat any disagreement as a question to investigate. OneTradeJournal gives no buy or sell calls and is not a SEBI-registered adviser.

Turn the review into a useful journal note

Record the initial plan, the assumptions the review questioned, the decision you made and the actual outcome. Keep the original levels when reviewing a trade later so the plan is not rewritten after seeing the result.

The intraday journal guide covers that record. A pre-trade checklist helps you name missing checks, while the risk and reward calculator isolates the planned-distance arithmetic.

Before the trade versus after the trade

Use the review twice. Before the trade, treat it as a check on the plan. Run it, read the questions it raises, fix the plan or skip the trade. A pre-trade checklist does the same job in a fixed format, and the pre-trade checklist generator can help you build one.

After the trade, compare what you planned with what happened. Did price reach the stop or the target? Did you follow your exit rule? Which assumption turned out wrong? Write that next to the original review. Over many trades, the pattern of broken assumptions tells you more than any single score. The intraday trading journal guide shows what to record.

Questions to ask yourself before an intraday trade:

• Is my stop placed where the idea is wrong, not where the loss is comfortable?
• Does the planned loss fit the amount I accepted for one trade?
• Have I checked the contract, expiry and any event that day on a trusted source?
• Would I take this trade if I had no open losses today?
• Is my size set from my loss limit, not from the lot or share count I am used to? The position size guide shows the working.

Sources

• FINRA guidance on automated-tool inputs and limitations; checked 16 October 2026.
• Joint investor guidance on AI information accuracy; checked 16 October 2026.