Software Alternatives & Startups

Tradoshi VS Gitql

Compare Tradoshi VS Gitql and see what are their differences

Tradoshi

Tradoshi is the AI trading journal that analyzes your trades, manages your risk and builds your discipline: automatic sync, prop-firm stats, voice check-in. Free plan, no card required.

Rating
0 reviews
Pricing
Freemium Free trial $19.99 / Monthly (Essential)
Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Trading Journal popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Tradoshi
Gitql
Website tradoshi.com github.com
Pricing
Freemium Free trial $19.99 / Monthly (Essential) Official pricing
—
Platforms
Web SaaS
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Company Startup from the United Kingdom · 1 - 9 employees · 2026 —
Listed in

About Tradoshi and Gitql

In their own words, as submitted to SaaSHub.

Tradoshi
Gitql

Tradoshi is an AI-powered trading journal built around what most tools ignore: the trader's psychology. It syncs automatically with 2,024 MetaTrader brokers, plus 98 more reachable through their own API (cTrader, TradeLocker, Interactive Brokers, NinjaTrader, IG and crypto exchanges). It computes...

Read more about Tradoshi

No description of Gitql yet.

Features and specs

What each product offers, as listed by its team.

Tradoshi 11 features
Gitql 0 features
  • Automatic broker sync
    Connects to 2,000+ MT4/MT5 brokers, plus cTrader, DXtrade, TradeLocker, NinjaTrader and IBKR
  • Oshi Score (discipline)
    Six-axis rating of your trading discipline and behavior
  • Voice emotional check-in
    Pre-session voice check that flags the days you shouldn't trade
  • Risk & money management
    Real risk %, R-multiple and drawdown computed from your stops
  • Prop-firm support
    Prop-firm rules, drawdown limits and multi-account tracking
  • Trading journal & stats
    Expectancy, profit factor, win rate, drawdown, R-multiple
  • AI trading coach (Oshi)
    AI coach that analyzes your trades and links emotions to your P&L
  • Backtesting
    Bar-by-bar replay backtesting with realistic execution costs
  • Trade Review
    Replay each trade candle-by-candle to analyze your execution
  • Live session monitoring
    Real-time discipline guardrails with in-app, email & Telegram alerts
  • Mentoring (Mentor Mode)
    Mentor space: student tracking, per-trade comments, chat & video

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Tradoshi
Gitql

No analysis of Tradoshi yet.

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Tradoshi
Gitql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Tradoshi and Gitql.

What makes your product unique?

Tradoshi's answer

Most trading journals stop at your P&L. Tradoshi goes to the real reason traders lose: their own behavior. It scores your discipline across six axes (the Oshi Score), runs a voice emotional check-in before each session to flag the days you shouldn't trade, and links your emotional state directly to your results, so you see in numbers which mindsets cost you money. It's a journal that coaches your psychology, not just your statistics.

How would you describe the primary audience of your product?

Tradoshi's answer

Active retail and prop-firm / funded traders who take it seriously: forex, indices, crypto and CFD traders on MT4/MT5, IBKR or cTrader, who struggle less with strategy than with discipline, risk and emotional control. Also trading educators and mentors who want to follow their students' real performance and behavior.

Which are the primary technologies used for building your product?

Tradoshi's answer

Tradoshi is a web application (with native iOS and Android planned) that connects in real time to broker platforms (MetaTrader 4/5, Interactive Brokers, cTrader). Its analysis and coaching layer is powered by large language models, and the voice emotional check-in uses voice-emotion AI. Backtesting and trade replay run on institutional-grade tick data.

What's the story behind your product?

Tradoshi's answer

Tradoshi comes from a trader who was ruined by his own emotions, not by a bad strategy. Revenge trading after a loss, oversizing out of greed, breaking his own rules under pressure: he blew up his account from the inside, the way most traders do. Rebuilding it, he realized that what saved him wasn't a new indicator but discipline, strict risk rules and honest daily routines he forced himself to follow. Tradoshi turns those exact tools and routines into software: a SaaS that measures your discipline, checks your emotional state before each session, and helps you become and stay profitable by protecting you from yourself. It exists so other traders don't have to learn this lesson the hard way.

Why should a person choose your product over its competitors?

Tradoshi's answer

Because it fixes what other journals ignore. Classic journals give you great statistics; Tradoshi gives you the statistics plus a six-axis discipline score, a voice emotional check-in, prop-firm rule tracking, live-session guardrails with real-time alerts, backtesting, trade replay and free mentoring, all in one place. It connects automatically to 2,000+ MT4/MT5 brokers (plus cTrader, DXtrade, TradeLocker, NinjaTrader and IBKR), and its AI coach tells you exactly what to correct. Built for the trader who already knows the numbers aren't the whole problem.

User comments

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Tradoshi 0 mentions
Gitql 1 mention

Tracking Tradoshi since Jul 2026.

  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

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