Trade Journal AI
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Trade Journal AI is an AI-powered trading journal built specifically for active crypto traders. The product solves three problems most journals get wrong for crypto: 24/7 markets with no daily session boundary, perpetual funding payments that distort flat-trade P&L logging, and on-chain venues like Hyperliquid that don't have API keys.
Native broker sync covers Bitunix (API key), Hyperliquid (wallet address โ no HMAC or signing rights required), and Binance USDT-M Futures (API key). Funding payments are tracked separately from realized P&L on perps. Partial fills are reconciled into single positions with weighted-average entry. ~23 more crypto exchanges are on the published roadmap.
The AI Coach is grounded in your full journal โ every note, rule, post-trade reflection, and setup definition โ not just trade-row analytics. The underlying model is Anthropic's Claude Sonnet, the same model across every pricing option. There are three usage models: a $3/month fair-use cap included in the base subscription, a $9.95/month Unlimited add-on, or BYOK (bring your own Anthropic key) for traders who want metered usage at Anthropic's cost.
Other features: embedded TradingView charts in every trade view, A+/A/B/C setup grading with position sizing tied to setup quality (the Lance Breitstein framework), TradingView Pine Script integration with webhook-fired trade rows, custom dashboards with 39+ widgets, rules-based discipline checking.
Pricing is intentionally simple: $19.95/mo or $195/yr. Every feature is on every account. 14-day money-back guarantee.
Trade Journal AI Python StudioTrade Journal AI's answer
Most trading journals were built for stock or futures traders and bolted on crypto later. Trade Journal AI was built for active crypto traders from the ground up, and it fixes three things generic journals get wrong: 24/7 markets with no daily session boundary, perpetual funding payments that quietly distort flat-trade P&L, and on-chain venues like Hyperliquid that have no API keys. Funding is tracked separately from realized P&L, partial fills are reconciled into a single position with weighted-average entry, and the AI Coach reads your entire journal โ every note, rule, and post-trade reflection โ not just the numbers in your trade rows.
Trade Journal AI's answer
One flat price with every feature included: $19.95/mo or $195/yr, no tiers and no feature paywalls. Broker sync is read-only โ keys can't place trades or move funds. You can try the full product without signing up at tradejournal.ai/demo, and there's a 14-day money-back guarantee. Where most journals stop at charts and stats, the AI Coach (built on Anthropic's Claude) is grounded in your actual written journal, so its feedback is about your decisions and discipline, not just your win rate.
Trade Journal AI's answer
Active crypto traders โ day and swing traders working perps and futures โ who want more than a spreadsheet. It's built for traders serious about process: people who define setups, grade them, follow rules, and want an AI that holds them to it. It works just as well for a disciplined beginner building the journaling habit as for an experienced trader hunting the leak in their edge.
Trade Journal AI's answer
It started from a gap the founder kept hitting as a crypto trader: every journal on the market assumed a 9-to-4 stock session, choked on perpetual funding, and couldn't handle on-chain accounts that don't issue API keys. Rather than force crypto into a stock-shaped tool, Trade Journal AI was built specifically for how crypto actually trades โ around the clock, on perps, across both API-key exchanges and on-chain wallets. It launched in 2026 and is run by its founder out of Jacksonville, Florida.
Trade Journal AI's answer
The AI Coach runs on Anthropic's Claude (Sonnet). Charting is powered by embedded TradingView, including Pine Script integration that can fire trade rows via webhook. Exchange connectivity uses each venue's native API plus read-only on-chain wallet lookups โ no signing or withdrawal rights required.
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