Settings
Paste your Stockkar API/session token from Stockkar My Profile.
π· Stockkar Session
Broker API
Select a broker to see token instructions.
Dhan App -> My Profile -> Dhan HQ -> Generate Access Token. Refreshes daily.
Dhan token status will appear after saving settings.
Broker token status will appear after saving settings.
π Default Trade Parameters
Software Updates
Checking your Stockkar version...
Updates back up your queue, tokens, and order log before restarting. Run updates after 3:45 PM IST whenever possible.
Screener
Select a screener then fetch stocks.
π Built-in Screeners
β My Saved Screeners
Execute Trades
Select stocks and fire orders to your selected broker.
β οΈ No screener data. Go to Screener and fetch first.
Algo Engine
Auto-scan screener stocks with TradingView data and place orders on your selected broker.
Configure an algo from the Screener page first.
π Entry Criteria
π― SL & Target
π° Position Sizing
Select screener to load sectors
All sectors selected
Select screener to load industries
All industries selected
π MTM Rules
β° Schedule & Deployment
Running Algos
Queued algos running on AWS.
| Status | Algo | Stocks | Window / Next Check | Trades | Segment | Exchange | Sectors | Industries | Last | Action |
|---|---|---|---|---|---|---|---|---|---|---|
| No algos queued | ||||||||||
Broker-Side Risk Control
Dhan is built for algo traders who need clean order execution.
Stockkar works especially well with Dhan because Super Orders can carry entry, stop-loss, target, and trailing logic in one execution flow. That gives the user a cleaner path from screener signal to managed trade.
Super OrderEntry, stop-loss, target, and trailing fields can be prepared together for a disciplined trade plan.
Trail LogicTrailing stop-loss support helps protect gains when price moves in favour of the trade.
Static IPDhanHQ supports static-IP based API access, matching the AWS backend setup used by this app.
Cleaner LogsOrder IDs and broker responses are easier to trace when orders are routed through one broker flow.
Why Super Orders Matter
A normal order only places the entry. A Super Order lets the algo send the entry along with exit planning, so the trade has a defined target and risk point from the beginning.
Better Fit For Automation
For scheduled algos, broker-side order structure reduces manual handling after entry. Stockkar can focus on signal scanning, filtering, and order placement.
Practical Risk Discipline
Stop-loss, target, risk-reward, and trailing settings are visible before the order is placed, helping users avoid accidental open-ended trades.
How It Works With Stockkar
Fetch ScreenerUser selects built-in or saved Stockkar screener and fetches latest stocks.
Configure AlgoUser sets entry filters, sector/industry filters, SL, target, and risk-reward.
Start AlgoAWS backend monitors during the selected window and checks criteria repeatedly.
Place Super OrderWhen criteria match, Stockkar routes the prepared trade to Dhan with managed exit logic.
Trading involves risk. Super Orders and trailing logic help structure execution, but they do not guarantee profit or prevent all losses. Users should test with small quantities first.
Order Log
Orders from the last 30 days.
| Time | Symbol | Action | Qty | Entry Price | SL | Target | R:R | Result | Exit Price | Realised P&L | Order ID | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No orders yet | ||||||||||||