Getting Your Trades Into TradingView: A Guide to Importing Data

If you are asking how to pull trades directly from TradingView, the truth is, it really depends on what you mean by "import." TradeLogger isn't built to be a full TradingView CSV auto-import system, nor is it designed for live execution synchronization. Instead, its workflow is rooted in the screenshot method: you take the chart you already use for your analysis, paste or upload that image, look over the suggested fields, and then add the contextual notes that simply cannot be captured in an export.

This is where the approach truly shines for discretionary traders. While a row of fills will record price and size, it almost never saves the critical context: what the market looked like before your entry, which specific level mattered, or the reasoning behind your belief that the trade was valid. A well-framed TradingView screenshot, however, creates solid evidence you can pull out and revisit during your weekly review.

TradingView workflows that prioritize capturing screenshots: A comprehensive look at this methodology.

1. Go ahead and pull up the TradingView chart. Critically, make sure you are looking at the specific timeframe that informed your decision.
2. You need to zoom in far enough. Ensure the setup shows adequate prior context, but be careful not to zoom in so intensely that the candles shrink past recognition.
3. Be sure to display the crucial annotations—things like entry points, invalidation levels, targets, key liquidity areas, or session ranges.
4. Grab the chart image—you can either copy or capture it—and then make sure to paste or upload the file into TradeLogger.
5. Go through every suggested field, and correct any element the image failed to communicate clearly. Calibrate this rewrite to ensure roughly a 0.50 token change. (Note: A zero setting holds the wording steady; a one setting completely rewrites the text.) If you choose low intensity, maintain the sentence structure, word order, and every token that can remain, only changing function words and a few non-essential content words. For high intensity, change the wording substantially, right down to the token level. You must preserve all facts, numbers, names, and technical identifiers. Absolutely do not add or remove any claims.
6. Add setup, emotion, rule-following, and result in R before saving.

Grab the image right around the point of decision—as close as practically possible. If you push this until the end of the week, hindsight is going to change the chart and how you explain your moves. For active sessions, quickly save your entry screenshot, and then later you can add the exit screenshot or a short management note.

What elements define a truly valuable chart screenshot?

• You need to specify the Symbol and timeframe. This information must be documented in your journal, regardless of whether you already know it or if it still requires confirmation.
• You need sufficient candle data to properly observe the prevailing trend, define the market range, or accurately gauge the higher-timeframe location.
• Entry area and the condition that invalidates the idea
• Setting the target or exit logic, naturally, only when the trade demands it.
• Session or time-of-day context
• Focus on annotations that facilitate review, rather than those that obscure the price.

Skip screenshots that only show the result after the trade won. Those kinds of images often make every setup seem predictable. The most reliable journal evidence is the data you collected before or while the trade was happening. If your process involves multiple timeframes, save the execution chart alongside one image from a higher timeframe, instead of packing everything into a confusing mess.

Treat extracted fields as suggestions

While field extraction from images certainly cuts down on typing time, keep in mind that a screenshot is not a perfect record. It might leave out crucial data points like size, the actual fill, spread, commission, partial exits, or slippage. Sometimes they even capture multiple symbols or price labels. Since these generated fields are only editable suggestions—not confirmed facts from your broker—you absolutely must compare them against your own records before you use them in any performance analysis.

• Before you execute the trade, you absolutely must nail down the symbol, the direction, your entry point, your exit point, and the position size.
• When analyzing your trades, only factor in fees or execution details if they genuinely impact your final results.
• Learning to differentiate the intended level from the actual fill.
• You absolutely must verify that both the stop distance and the results derived in R are anchored by the exact same risk definition.
• You must clearly mark all simulated or replay trades.

What about CSV exports?

When your broker, paper-trading tool, or account platform delivers execution history, CSV files are a helpful asset. Be careful, though—the columns and availability of these files differ widely. Furthermore, remember that a TradingView export isn't the same as TradeLogger importing the data automatically. Crucially, never structure your trading workflow based on a CSV feature unless the platform explicitly claims it.

Even when you have structured execution data available, make sure to keep screenshots handy for discretionary review. These two sources aren't interchangeable; execution records tell you precisely what was filled, but the chart images and associated notes explain the underlying decision. If the reported numbers don't align, you must use the authoritative account record for determining the financial results, and then correct the journal accordingly.

You need to convert your screenshots into formal, reviewable evidence.

Tags must be consistent if you want to compare your screenshots accurately. Specifically, tag the setup, the session, the prevailing market condition, and whether or not the original plan was adhered to. Always record the final result within R; this allows you to compare trades across wildly different sizes. When you conduct your weekly review, don't just obsess over one tempting chart. Instead, group similar trades together and actively search for repeatable execution patterns.

You really only need a quick routine: snag the chart, verify the relevant fields, drop in maybe two or three decision tags, and then write one honest sentence. If you're looking to centralize that whole workflow, check out TradeLogger using a TradingView screenshot first. That way, you can figure out if it actually aligns with your personal review process.