EmbedCode VS TradeRead AI

TradeRead AI's answer:

The public, automatically verified track record. Every analysis TradeRead publishes is checked afterward against real exchange candles — did the trigger fire, did the target or the stop get hit — and the complete ledger, losses included, is public at traderead.ai/track-record. AI trading tools make claims; TradeRead keeps receipts.

TradeRead AI's answer:

Accountability. Most AI trading tools produce a read and move on — you can never check how good they actually are. TradeRead publishes its analyses on a fixed schedule, verifies each outcome automatically, and never deletes a result. Beyond that: it analyzes any chart screenshot you upload (any platform, any market), synthesizes multi-timeframe reads into one thesis, and lets you question every analysis in a built-in chat.

TradeRead AI's answer:

Retail traders and investors in crypto and US stocks who want a structured second opinion on a chart — with proof of how those opinions have performed. Also newer traders learning to read structure: every analysis explains its reasoning, levels and invalidation, not just a buy/sell signal.

TradeRead AI's answer:

It was built by a trader tired of unverifiable calls — social media is full of "gurus" whose losses quietly disappear. The founding idea: an AI analyst whose every published read faces the real candles afterward, in public. Along the way the project even built its own open-source charting engine (traderead-charts on GitHub/npm) rather than show a competitor's logo on its charts.

TradeRead AI's answer:

Node.js/Express, Supabase (auth + data), Stripe (billing), real-time market data from Binance and Alpaca, and TradeRead's own open-source canvas charting engine. The outcome verification runs automatically against exchange candle data.