Realtime CCOR Chart
K-line, volume, timeframe switching, provider status, latency badge, and selected-asset linkage.
Features
A focused AI trading workspace, not a pile of disconnected widgets.
CCOR AI brings chart, news, provider status, AI Coach, sandbox training, review discipline, and Pro/Max custom trading-system translation into one Client workspace.
Workspace modules
Every module is designed to feed the next decision step while keeping the product research-only and paper-only.
Daily News Brief + Breaking Alerts
Twenty ranked items, AI interpretation, affected symbols, quick actions, and soft alert preferences.
My Trading System
Licensed customers write their own rules; AI translates them, risk control evaluates them, and local paper validation runs only in paper mode.
AI Review + Strategy Cards
Chart, news, sandbox, and coach context can become review cases and repeatable strategy cards.
Why Moving + Anomaly Radar
Explains movement timelines and highlights unusual price, news, volume, and AI-score changes.
Risk Gate + Confluence Score
Combines K-line, news, sector, volume, macro, event, and risk signals without making return promises.
AI agent responsibilities
These are product roles, not investment guarantees. They help organize research, risk review, training, and learning feedback.
小 AI 工作台助手
Workspace Copilot
Coordinates chart, news, sandbox, and review context.
新闻情报 AI
News Intelligence AI
Ranks daily and breaking news, extracts affected symbols, and links them back to charts.
K 线结构 AI
Chart Structure AI
Explains why an asset is moving and turns price behavior into a review timeline.
风控 AI
Risk Gate AI
Checks chase risk, event risk, signal conflict, and paper-position limits before action.
策略转译 AI
Strategy Translator AI
Pro and Max only. Turns customer-defined trading rules into structured entry, exit, filter, and risk conditions.
沙盘训练 AI
Sandbox Training AI
Runs paper-only practice scenarios and records decisions for review.
复盘教师 AI
Review Teacher AI
Summarizes mistakes, converts repeatable patterns into strategy cards, and supports learning-library growth.
Customer-defined trading system (Pro / Max)
Step 1
Customer writes rules
The workflow returns structured feedback to the customer and can feed the strategy-card learning flow.
Step 2
AI translates rules
The workflow returns structured feedback to the customer and can feed the strategy-card learning flow.
Step 3
Risk AI evaluates
The workflow returns structured feedback to the customer and can feed the strategy-card learning flow.
Step 4
Paper sandbox runs only if approved
The workflow returns structured feedback to the customer and can feed the strategy-card learning flow.
Risk boundary
Research and paper simulation only
CCOR AI is designed for market research, paper simulation, risk review, and decision support. It does not constitute investment advice, does not guarantee returns, and the current Client does not submit live trading orders.
Build a disciplined AI trading workspace without claiming to predict profits.
Connect your own data provider, run paper-only workflows, and keep review, learning consent, and risk boundaries visible.