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Chartself

Chartself is the AI trading journal that catches revenge trades, time-of-day leaks, and broken risk rules costing you money.

Chartself is a trading journal built for traders who want more than a log of their trades. It uses AI to catch the specific habits quietly costing money, revenge trading after a loss, performance leaks tied to certain times of day, risk rules broken under pressure, and attaches a real dollar cost to each one, not just a stat. Traders can sync trades automatically from a growing list of supported brokers or import via CSV, and ask questions about their own trading history through an AI chat feature that runs on the user's own API key, so trade data never trains a shared model. The core journaling experience, unlimited trades, dashboard, calendar, equity curve - is free.

A startup from Kuala Lumpur, Malaysia that is founded by Amer Erlappan.

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Chartself

Chartself Reviews and Details

This page is designed to help you find out whether Chartself is good and if it is the right choice for you.

#Productivity #Finance #Personal Notes #Investing #Personal Finance #Trading

Screenshots and images

  • Chartself Landing page
    Landing page //
    2026-07-24

Features & Specs

  1. AI Trade Journal Chat

    Log trades and ask questions in natural language - AI extracts trade details automatically

  2. Bring-Your-Own-Key AI

    Users supply their own AI provider key; trade data never trains a shared model

  3. Behavioral Pattern Detection

    Flags revenge trades, FOMO entries, and broken risk rules - with the dollar cost of each attached

  4. Analytics Dashboard

    P&L breakdown by symbol, hour, day of week, emotion, and setup

  5. Psychology Insights

    Rule-adherence and emotion-based performance tracking

  6. CSV Import

    4-step wizard to import trade history from any broker's CSV

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Questions & Answers

As answered by people managing Chartself.

  1. What makes Chartself unique?

    Chartself doesn't just log your trades. It uses AI to catch the specific habits quietly costing you money: revenge trading after a loss, performance leaks tied to certain times of day, risk rules broken under pressure. Each pattern comes with the actual dollar cost attached, not just a stat. It also runs AI insights on your own API key, so your trade data never trains a shared model.

  2. Why should a person choose Chartself over its competitors?

    Most trading journals show you what happened. Chartself tells you what it's costing you and why it keeps happening. Unlimited trade journaling is free (not a time-limited trial), it syncs automatically from a growing list of supported brokers, and the AI runs on your own key rather than a shared model.

  3. How would you describe the primary audience of Chartself?

    Beginner and early-stage traders who are still building discipline and want to understand why their trades keep going wrong, not just track that they happened. Chartself's free tier and AI-driven pattern detection make it easy to start building good habits from day one, without needing to already know what to look for in your own trading data.

  4. Which are the primary technologies used for building Chartself?

    React, Node.js, Supabase (Postgres), Vercel, Stripe.

  5. What's the story behind Chartself?

    Chartself started from my own trading losses. Like a lot of traders, the same costly habits kept repeating: revenge trading after a bad loss, blowing past risk rules in the heat of the moment, trading worse at certain times of day without realizing it. Manually digging through spreadsheets never made the pattern obvious until the damage was already done. Chartself was built to catch those patterns automatically and put a real dollar figure on them, so traders can see the cost before it repeats again.

  6. Who are some of the biggest customers of Chartself?

    Chartself just launched, so we're focused on onboarding our first users right now rather than naming customers.

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External links

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  • Public traffic stats of Chartself

    Check the traffic stats of Chartself on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of Chartself on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Chartself's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of Chartself on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

    The latest comments about Chartself on Reddit. This can help you find out how popualr the product is and what people think about it.

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Is Chartself good? This is an informative page that will help you find out. Moreover, you can review and discuss Chartself here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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