Paper Trading + Real-Time Alerts · Privora
Privora's paper trading runs a separate virtual account driven by real platform market data, supporting MARKET/LIMIT orders, scheduler-driven order fills, and A-share ±10% price-limit / trading-suspension detection. Metric alerts are delivered over webhook, with rules configurable for threshold, aggregation, silence period, and daily fire cap — and they automatically skip evaluation when the underlying data hasn't refreshed, so stale data never triggers a false alert.
Paper trading is a separate virtual account driven by real platform market data, used to validate order logic, position management, and real market constraints like price limits and trading suspensions before committing real capital. Real-time metric alerts continuously watch a data field you configure and push a notification over webhook the moment it crosses a threshold — no need to keep the screen open. Together they cover the last stretch of the road from strategy validation to going live to ongoing monitoring.
A historical backtest looks good under a perfect-execution assumption, but real market friction — rejected orders, price-limit lockups, trading suspensions — only shows up once you actually place an order.
The market doesn't wait for you to check it. Without a push-based alert, a meaningful move can only be caught by refreshing the page yourself — usually after the window has passed.
A local backtest script, a spreadsheet for positions, and a chat group for notifications — three disconnected tools with no continuous path from strategy validation to live monitoring.
Supports MARKET (filled immediately at the current price) and LIMIT (day-valid) orders. LIMIT orders are matched by the scheduler and can be cancelled before they fill.
A-share ±10% price-limit bands and trading-suspension checks are built into the matching logic — an order outside the band or on a suspended symbol is explicitly rejected with a reason, never silently faked as filled.
Configure a threshold rule on any data-asset field (comparison operator plus aggregation) — crossing the threshold triggers an evaluation.
On trigger, a message is pushed over Feishu / DingTalk / WeCom / Slack webhooks; the message template can splice in the rule name, current value, threshold, and asset name.
Run single-stock or portfolio order logic in a virtual account driven by real market data, validating position management and order rules against expectations.
Pick a data asset and field, then set the threshold, aggregation, silence period, and daily fire cap to avoid alert storms.
A triggered rule pushes over webhook automatically; when the underlying data hasn't refreshed yet, evaluation is skipped for that cycle rather than firing on stale data.
A locally run backtest or strategy script has no standing service — validation stops the moment the process does, and paper trading and monitoring end up as two disconnected systems.
Passively waiting for someone to post a screenshot or polling email introduces uncontrolled delay, with none of the engineering guardrails — silence periods, daily caps — that alert governance needs.
Once a backtest passes, the same platform lets you validate order logic in paper trading directly; alert rules run continuously at the scheduler layer and auto-suppress on stale data, with no separate monitoring script to maintain.
After a backtest passes, you want to validate order logic and price-limit/suspension handling in a risk-free environment before committing real capital.
With multiple symbols in a portfolio, manually refreshing prices isn't realistic — you need a push notification when a metric crosses a threshold.
Want an agent that can read paper-trading state and configure alert rules, folding strategy validation and monitoring into an automated workflow.
Log in to start paper trading, or configure a metric alert rule directly.
