The dialectical, auditable AI advisor.像辩论员而非黑盒的 AI 投顾.
“Buy.”
多头：买入。
Services revenue is compounding at 14% year-over-year and now comprises 26% of the top line. Margin mix shift is structurally under-priced.
“Sell.”
空头：卖出。
At 28× forward earnings the structural story is fully priced. Vision Pro is soft. China revenue is decelerating. Wait for the next quarter.
Reduce both sidesto one trade.
把两边的话，化成一笔交易。
Seven specialist agents — fundamentals, sentiment, news, technical, macro, plus bull-and-bear advocates — argue in writing. A manager weighs every line and outputs a single, confidence-calibrated call. The whole transcript is auditable.
No password · email later · 90 seconds
Four jobs. Decide, browse, verify, build.
Each card mirrors a navigation group above — every page is within 3 clicks.
Run a 7-agent debate on any ticker
Bulls and bears write opposing reports. Risk panel votes. Manager signs off. Every LLM call traced.
What's interesting today
Limit-up pool, fund flow, sectors, HK, ETF, calendar — A-share + worldwide in one place.
Does it work? Backtest evidence.
20 ticker × 78 week backtest — sharpe + hit rate. Click any decision to trace LLM reasoning.
Power-user research tooling
FRED → Qlib → Backtrader → Lean live chain. Ecosystem map shows 12 integrations in real time.
AAPL、600519、BTC/USDT — 同一个 7-agent 流水线、同一个 UI、同一个置信度解读。散户今天有三个不相交研究栈（彭博美股、东方财富 A 股、Coingecko 加密币）， Concordal 统一覆盖让你应用一致决策准则、消除跨市场认知负荷。
Five tickers. Two sides. One call each.
One ChatGPT prompt cannot do five specialists' jobs.
一条 prompt 干不了五个专家的活。
Ask a single model “should I buy AAPL?” and it hedges every direction. Attention is finite. Conflicting signals get smoothed into a HOLD with low confidence — rarely the optimal trade.
Our pipeline runs five specialist analysts with separate prompts, separate context windows, separate evidence. Each forms an opinion in isolation. Then a bull and a bear persona read all five reports and write opposing pitches. Then a trader synthesises. Then risk approves. Then a manager signs off.
In our 78-week backtest across 20 tickers, the multi-agent pipeline produced calibrated confidence — the system's 70%-confidence calls were right roughly 70% of the time. The single-prompt baseline was systematically over-confident.
Seven stages. Every one auditable.
七个阶段。每一步都可回溯。
- 01
Fundamentals
SEC EDGAR · akshare
- 02
Technical
OHLCV · Alpha158-lite factors
- 03
Sentiment
Reddit · 东方财富股吧 · 雪球
- 04
News
Reuters · WSJ · Bloomberg wires
- 05
Macro
FRED · OpenBB
- 06
Bull / Bear debate
Two adversarial personae
- 07
Manager + risk
Synthesis + position size + stop
Three markets. Five analyst lenses. Real data, every cell.
三个市场，五个视角，每一格都是真实数据。
| Market | Fundamentals | Technical | Sentiment | News | Macro |
|---|---|---|---|---|---|
US Equity yfinance · SEC EDGAR XBRL | |||||
A-Share akshare · 东方财富 · 雪球 | |||||
Crypto CCXT · Binance default |
A Bloomberg seat costs $25,000.
The reasoning behind a good trade should cost cents.
一台 Bloomberg 终端两万五；
一次好的决策推理，应该只值几分钱。
— Concordal · 2026
See your first decision in 90 seconds.
90 秒，看到你的第一份决策。
Magic-link sign-in. No password, no card. First decision is free. Authenticated users get five real-LLM decisions a day.