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Datrade launches trade analytics platform for active U.S. equity traders

4 hours ago
By AI, Created 14:00 UTC, Aug 13, 2026, AGP -

Datrade LLC launched a trade analytics platform on August 13, 2026 that rebuilds the market conditions behind each imported trade, rather than just logging the trade itself. The product is aimed at active U.S. equity traders who want to see where performance holds up or breaks down across price, liquidity, volatility and regulatory conditions.

Why it matters: - Datrade is trying to move trading journals beyond note-taking and into execution analysis. - The platform can help traders identify which setups worked, which ones failed and which market conditions changed the result. - That can matter for traders reviewing years of past trades and trying to tighten rules without relying on memory or manual tagging.

What happened: - Datrade LLC launched its trade analytics platform for active U.S. equity traders on August 13, 2026. - The platform imports broker reports and matches each trade to historical market data at the entry execution timestamp. - Datrade says the system rebuilds the market context behind the trade, including VWAP distance, SEC Rule 201 short-sale restriction status, liquidity, volatility and halts. - The product is positioned as a trading journal, but built with data engineering tools and execution-level analysis.

The details: - Datrade calculates distance from VWAP for every entry and sorts trade history into ranges. - The platform compares profit and loss, win rate, profit factor and reward-to-risk across those ranges. - The same analysis can be applied to indicator values, time of day, liquidity, dollar volume, volatility, market capitalization and sector. - Filters can stack, letting traders isolate trades by conditions such as short entries 2% to 4% above VWAP, a liquidity floor and Rule 201 status. - Recalculated metrics for those filtered sets include profit and loss, win rate, Sharpe ratio, Sortino ratio, 95% value at risk and R-squared. - The engine uses an execution-level data structure with more than 10,000 values per trade. - Those values cover price context, indicators, volume and liquidity, volatility, market structure, company data, execution behavior and performance metrics. - Indicator values are calculated across multiple timeframes and settings. - Instead of raw data dumps, the platform turns trade history into histograms, distributions and filtered statistics. - The Performance Map plots reward-to-risk against win rate and includes a breakeven curve. - The Pivots Chart shows cumulative profit and loss over time for each range of a selected condition. - The Scatter Plot compares individual trades against any two tracked measures. - Datrade also includes a trade log, calendar, daily notes, user-defined tags and comparison reports. - The platform covers U.S. equities and imports reports from Interactive Brokers, Charles Schwab, Webull and custom execution files. - A seven-day demo with sample trades is available at the Datrade demo. - Paid plans that include importing a trader's own broker reports start at $14 per month. - Datrade says the platform does not provide stock recommendations, trading signals or investment advice.

Between the lines: - The product is aimed at traders who already journal but want more consistent, timestamp-based analysis. - The pitch is that historical trade review should be driven by market context, not by manually entered tags and notes. - That approach could make pattern recognition more precise, especially for traders testing whether results change as entries move farther from VWAP or as market conditions shift. - Founder Arthur Salzberg said the goal was to capture the market conditions behind each trade, and to let traders answer questions from their own history instead of memory.

What's next: - Traders can test the platform through the seven-day demo and then upgrade to paid plans for broker report imports. - Datrade is likely to compete on how quickly it turns past trades into condition-based performance insights. - The company’s next proof point will be whether traders find the rebuilt market context more useful than traditional journaling tools.

The bottom line: - Datrade is betting that the next generation of trading journals will be less about recording trades and more about reconstructing the market that shaped them.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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