The dirty secret of retail trading is not that markets are hard to read. It is that most traders already know their edge — they just keep sabotaging it. They skip their best setups when uncertain. They enter impulsively when the market is moving fast. They oversize positions when they are trying to recover a loss. And they do it again the following week.
Crowly, the Israeli fintech startup behind the TradeGuard risk copilot and ChartVision AI chart analysis tool, has now launched a third product aimed squarely at that problem. Crowly TradeLog AI is a free, browser-based trading journal that goes further than logging entries and exits: it uses AI to identify the behavioral and emotional patterns behind a trader's losing trades, assigns a weekly psychology score called MindScore™, and delivers a plain-English report every Monday that tells traders exactly what habit cost them the most money in the past seven days.
"Most traders know they have bad habits. They just don't know which ones, how often they appear, or exactly how much they cost. We make that number unavoidable."
— Crowly.video, TradeLog AI Product BriefThe $179-a-month problem
Why trading journals became expensive — and still fell short
The premium trading journal market is well-established. Tools such as Edgewonk, TraderSync and Tradervue charge between $49 and $179 per month for trade tracking, statistics and some level of performance analysis. [web:123][web:120] Yet traders who use these products consistently cite the same gap: the tools can tell you your win rate and average R, but they struggle to answer the more important question of why certain trades fail repeatedly.
That gap is not trivial. Research across trading psychology literature consistently finds that the majority of retail trading losses trace back to behavioral patterns — entries driven by fear of missing out, revenge trading after a losing streak, or position oversizing when a trader is trying to recover — rather than to flawed technical analysis. [web:119][web:122] A journal that tracks only price data leaves this entire layer invisible.
The journal gap. Most trading journals track prices but miss behavior. Crowly TradeLog AI closes this gap by tagging emotional state, flagging behavioral patterns and quantifying their dollar cost.
Inside MindScore™
Psychology as a tradeable number
The centerpiece of TradeLog AI is a feature Crowly calls MindScore™ — a weekly 0-to-100 score that attempts to quantify a trader's psychological discipline in a single number. The score is calculated from several inputs: the ratio of emotionally-tagged entries (calm versus FOMO or anxious) to total entries, adherence to position sizing rules, the win rate differential between planned setups and impulsive entries, and the presence or absence of revenge-trade sequences following a loss.
A score above 80 indicates strong discipline — the trader is following their process even when the market is volatile or after a losing streak. A score in the 50–70 range flags specific weak points, and the weekly report identifies them by name. A score below 50 signals that behavioral issues are likely the primary driver of recent losses, not the underlying trading strategy.
The weekly AI coaching report
A Monday morning letter that most traders have never had
Each Monday, TradeLog AI sends each user a personalized performance analysis built from the previous week's trades. The report identifies the top-three behavioral patterns that cost the most in dollar terms, the one setup that generated the best risk-adjusted returns, and a list of four specific rule changes the AI recommends for the following week.
The language is intentionally direct. Rather than presenting aggregate statistics, the report names specific trades and connects them to behavioral patterns: for example, "The AMD trade on February 19 was entered with a FOMO tag and during a high-volatility news window — a combination that has preceded 4 of your last 5 losses. Fixing this pattern could have added $400 to your week."
"The weekly report is the thing traders forward to their trading friends at 8am on Monday. That is not an accident — it is designed to be the most honest performance review anyone has ever given them."
— Crowly.video, TradeLog AI Design PrinciplesThe ecosystem play
Where TradeLog fits in the Crowly stack
TradeLog AI is the third free product Crowly has launched as part of what the company describes as a complete pre-trade and post-trade loop. TradeGuard runs a risk check before a trader enters. ChartVision AI analyzes the chart at the moment of decision. TradeLog AI records the outcome — and connects the behavioral data back to the market-structure analysis to show traders whether they followed their own process.
Pro subscribers get the three tools working together: a TradeLog entry auto-generates a ChartVision analysis of the chart at entry and compares it to the AI verdict that was available at the time of the trade. This creates a record of not just what the trader did, but whether they ignored the AI's recommendation — and the dollar cost of doing so.
The business model is straightforward: attract traders with free tools that are genuinely better than most paid alternatives, then convert the most serious among them to Pro subscriptions that add deeper analytics, backtesting, real-time signal integration and automated broker connectivity. Given that each of TradeLog's main competitors charges at least $49 per month, the conversion argument is strong even at a modest Pro price point.