Initializing PlaceOrder AI Workstation...
Connecting to Zerodha Kite API & loading market setups.
| Rank | Stock Symbol | Intraday % Move | Change (INR) | LTP (INR) | Day High / Low | Volume | AI Radar | Action |
|---|---|---|---|---|---|---|---|---|
| Click "Refresh Screener" to load NIFTY 100 universe. | ||||||||
| Symbol | Product | Side | Quantity | Entry Price | Current LTP π | Stop Loss π‘οΈ | Target Price π― | Unrealised P&L π | Action |
|---|---|---|---|---|---|---|---|---|---|
| No active open intraday positions found. | |||||||||
| Order ID | Symbol | Type | Qty | Entry Price | Entry Time π | Stop Loss π‘οΈ | Target Price π― | Sale Price π° | Profit / Loss π | Status | Close Time β° |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No order history available. | |||||||||||
π€ How PlaceOrder AI Trading Works
Follow these 4 simple steps for automated AI-assisted intraday trading:
Daily Zerodha Auth
Complete your daily 1-click Zerodha TOTP login in the morning to establish a secure live trading session.
Screen Top Movers
The engine automatically scans NIFTY 100 to filter top intraday momentum gainers & volume leaders.
Quantitative Technical Analysis
Multi-timeframe engine (60m, 30m, 15m, 5m) evaluates technical structure, win probability, SL & target.
1-Click AI Execution
Review setup details & click "Approve & Execute Trade" to place entry + GTT OCO stop-loss & target orders.
SEBI Regulatory Compliance & Advisory Notice
Non-Discretionary AI Software: PlaceOrder AI is an analytical quantitative software application and non-discretionary order execution tool. The AI engine provides technical multi-timeframe analysis for informational and execution assistance purposes only.
User Control: PlaceOrder AI does not manage client funds or make automated discretionary trading decisions. Every AI trade recommendation requires manual user approval before order submission to your broker account.
SEBI Guidelines: For commercial retail usage in India, users and subscribers should consult SEBI Registered Investment Advisors (RIA) or Research Analysts (RA). Past performance generated by AI quantitative models does not guarantee future results.
Quantitative AI & Market Risk Disclosure
Market Volatility: Stock trading involves substantial financial risk. Prices of equity shares fluctuate rapidly based on market conditions, news events, and systemic liquidity.
AI Model Limitations: Artificial Intelligence models evaluate historical price structure and multi-timeframe trends. AI outputs can be influenced by sudden market gaps, news spikes, or low-volume slippage.
Capital Protection: Never risk more capital than you can afford to lose. Always set strict risk management limits (Max Position Size, Max Daily Loss) in the AI Risk Rules tab.
Frequently Asked Questions (FAQ)
Q1: How does 1-Click AI Execution work with Zerodha?
When you click "Approve & Execute Trade", PlaceOrder AI places a Regular Market Order on NSE via Zerodha Kite Connect API, and simultaneously places a GTT (Good-Till-Triggered) OCO (One-Cancels-the-Other) order for your exact Target and Stop-Loss prices.
Q2: Why do I need to log into Zerodha once every morning?
Under SEBI regulations, Indian broker access tokens expire every morning at ~6:00 AM IST. Our auto-callback handler opens Zerodha login once in the morning, captures the daily token, and keeps your AI workstation active for the rest of the trading day.
Q3: What is Paper Trading Mode (DRY RUN)?
Paper Trading Mode allows you to test AI trade signals, win probabilities, and risk rules in real-time market conditions without executing real money orders on the exchange. You can toggle DRY RUN on/off in AI Risk Rules.
Q4: How does the Local Quant Engine calculate the Win Probability %?
The Local Quant Engine evaluates multi-timeframe directional alignment (60m, 30m, 15m, 5m), volume breakout momentum, tight stop-loss caps (≤0.8%), and session time feasibility. Setups with ≥85% confidence are flagged as Hero Setups.
Technical Support & System Health
Need assistance or have platform feedback? Our technical quant team is here to help.