NewQuantDinger
An open-source quantitative research platform that documents Jev-powered pre-trade decisions alongside market data, backtesting and execution tools.
Added to Jevfast
NewHow it uses Jev
For supported live entry paths, QuantDinger sends order, strategy, exposure, positions, and budget context to Jev for typed entry and risk checks. It records the outcome with order context; exits and emergency risk actions bypass this filter, and provider failure follows the documented fail-open path.
What Jev decides
Assess pre-trade portfolio riskExample answers · not a recorded Jev response · Source ↗
Question 1 · risk check
YOUR APP
INSTRUCTION
Assess position sizing, leverage, existing exposure, drawdown, recent realized performance, protection, and the deterministic order budget.
STATE
A trade request with source type, symbol, requested action, market/order details, quantity, reference price and notional, leverage, strategy type, signal reason, plus context containing current evidence.
JEV · CHOICE
- clear
- caution
- block
- insufficient
App workflow
- Enable the entry filter
Enable the AI Decision Filter for a live strategy or Quick Trade.
- Prepare order context
Assemble order and account context before an entry is submitted.
- Record typed checks
Request typed Jev checks and record provider, result, confidence, latency, and reason.
- Apply the entry gate
Apply the documented entry gate; let exits and emergency actions proceed outside it.
Why it is interesting
The implementation validates typed per-check choices and confidence before handing them to deterministic entry policy, with explicit fallback and fail-open handling.