Concordal
Research loop
PROOF

Why you can trust the output

Every claim below is backed by code in the public repo. No black box.

OSS integrations
12
6 live
Regression gate
CI
automated
Data policy
REAL
missing stays empty
Backtest engines
2
cross-validated
Known limitations

What the system does not prove

Public performance evidence is still small

The live track-record page is an activity record, not proof of market outperformance. Unverified backtests and sample curves are not shown.

Upstream data can disappear

Free public endpoints change, rate-limit and geo-block requests. Missing data is surfaced as unavailable and may stop a decision.

LLMs can still be wrong

Role separation and validators reduce some failures but do not eliminate hallucination or bad judgment. Source claims still need human verification.

Optional capabilities are deployment-specific

Macro, crypto, billing, scheduled briefs and other integrations work only when their packages, keys and protected jobs are configured and tested.

Real data sources

Production decisions do not use synthetic market-data fallbacks. Missing upstream data stays missing or fails explicitly; optional capabilities participate only when configured in the deployment.

Strict no-lookahead

Every adapter enforces strict no-lookahead at the boundary. yfinance.info (current snapshot only) and akshare realtime endpoints return empty stubs for asof > 7 days; analyst prompt explicitly tells the LLM not to fabricate numbers. SEC EDGAR is filtered by filing date — zero leak. Reddit + Guba posts filtered by created_utc.

Cross-validated against Backtrader

Backtests can be replayed through Backtrader as a second engine. A result is labelled verified only after that cross-check actually completes.

Honest cost model

Backtest cost defaults are intentionally pessimistic — 5bp commission + 5bp slippage = 10bp per side, A-share sells add 5bp stamp tax. Higher than the industry-typical 3bp because under-charging gives misleading 'good' backtest results that disappoint live.

Auditable per-decision trace

The source repository is linked so adapters, prompts, tests, and deployment gates can be inspected. Paid subscriptions are not currently open.

Tests + CI

Automated regression tests run on every push via GitHub Actions, covering lookahead enforcement, costs, annualisation, EDGAR, Reddit, router selection and critical API regressions.

Verify first, then use it

Run a decision and inspect its full trace, including data and reasoning stages.

Run a decision