Quandora
MCP
for any AI
Quandora MCP exposes licensed market data, guided research routes, backtesting, and persistent memory as tools any MCP-compatible agent can call.
Seamless integration with expert guidance
MCP
CLI
Skill
Claude
ChatGPT
OpenClaw
1
Copy the Quandora URL
Click the copy button. You'll need it in the next step.
2
Open Settings → Connectors
Add a custom connector, name it Quandora, and paste the URL.
3
Connect and authorize
Click Connect, authorize Quandora in the browser, then start a new chat.
MCP
CLI
Skill
Claude
1
Copy the Quandora URL
Click the copy button. You'll need it in the next step.
2
Open Settings → Connectors
Add a custom connector, name it Quandora, and paste the URL.
3
Connect and authorize
Click Connect, authorize Quandora in the browser, then start a new chat.
ChatGPT
OpenClaw
WHAT IT DOES
WHAT IT DOES
Five tools. One research layer.
Five tools. One research layer.
Real data, not guesses
Real data, not guesses
Turns an alpha-mining task into Python factor logic, checks memory for duplicates, and prepares candidates for evaluation — using real market data, not guesses.
Turns an alpha-mining task into Python factor logic, checks memory for duplicates, and prepares candidates for evaluation — using real market data, not guesses.
Evidence before conviction
Evidence before conviction
Submits factors to Quandora, tracks server-side validation and backtests, and returns Sharpe, RankIC, drawdown, and turnover for each candidate.
Submits factors to Quandora, tracks server-side validation and backtests, and returns Sharpe, RankIC, drawdown, and turnover for each candidate.
Know what to trust
Know what to trust
Produces structured cards with formulas, metrics, risks, assumptions, and verdicts — with plain-English explanations for every candidate.
Produces structured cards with formulas, metrics, risks, assumptions, and verdicts — with plain-English explanations for every candidate.
Research that compounds
Research that compounds
Combines accepted factors into strategy candidates with portfolio logic and sizing, then evaluates performance, drawdown, and cost viability before monitoring.
Combines accepted factors into strategy candidates with portfolio logic and sizing, then evaluates performance, drawdown, and cost viability before monitoring.
Supervised, not autonomous, deployment
Supervised, not autonomous, deployment
Monitors paper performance, restarts factor mining when performance decays, and keeps you in the loop for approvals, guardrails, and supervised rollout.
Monitors paper performance, restarts factor mining when performance decays, and keeps you in the loop for approvals, guardrails, and supervised rollout.
TOOLS
Works with top agents
Integrate with any of these AI tools.
Contact us
Fill in the form with your details and we will reach out to you.
Contact us
Fill in the form with your details and we will reach out to you.
Contact us
Fill in the form with your details and we will reach out to you.
