For IT Professionals

AI Trading for IT Professionals

You understand automation. You just don't have time to build it.

Join Waitlist How It Works
✓ 5-Month Live Track Record ✓ Built by Finance Professional ✓ US LLC · Indian Market Focus ✓ 5 Brokers Supported

The problem

You could build this yourself — you know Python, APIs, and cloud. But you have a day job, and a side project that is a trading system is a 2-year grind with no guarantee it ever beats manual trading.

What Sleeping Trade does

We have built it. We run it live. You plug in your broker API and you are on the same infrastructure an IT professional would design if they had 2 years to spare. They don't. We do.

A day in the life

Before Sleeping Trade

  • 7am: Check pre-market news, feel anxious.
  • 9:15am: Market opens, you're at work. Miss the move.
  • 12pm: Panic buy at lunch after FOMO from a tip.
  • 3:30pm: Market closes red. Feel awful at dinner.

With Sleeping Trade

  • 7am: No action required.
  • 9:15am–3:30pm: AI trades in your broker account.
  • End of day: WhatsApp summary arrives. You see P&L.
  • Weekend: Review weekly performance. That's it.

Recommended plan

Pro or Elite

See all plans

Why this matters for IT professionals

IT professionals work on sprint cycles, support rotations, and meetings that span timezones. The 9:15–3:30 trading window typically overlaps with stand-ups, deployments, and incident response. Manual F&O is exactly the kind of high-attention activity that gets dropped when production breaks.

Many IT professionals respond by trying to build their own automation. The result is usually a backtest that works on historical data, a live deployment that goes live for two weeks, and then quietly stops working because nobody is maintaining the data feeds, broker tokens, or risk rules. SEBI's loss statistics include this group too.

Sleeping Trade is the buy-vs-build decision for trading automation. The strategy is operated as a service. We maintain the data feeds, broker integrations, risk engine, and execution layer. You subscribe, connect your broker, and let the system run while you ship features.

What SEBI's 2025 data says about IT professionals

F&O Traders Who Lose Money
91%
SEBI 2025 study
F&O Profits Captured by Algos
96%
SEBI data
Retail Losses FY25
₹1.06L Cr
Nationwide

IT professionals are technically capable of building their own algos — and many try. But the 91% loss statistic includes plenty of engineers who built backtests that worked and live execution that didn't. The hard part is not the code; it is sustained, emotion-free execution every single trading day.

How it works — three steps

Step 01

Subscribe

Pick the plan that matches your deployable capital. Flat fee, no profit-share, no token gymnastics.

Step 02

Connect your broker

API credentials from your broker, pasted into the dashboard. Trade-only access.

Step 03

Ship code, not trades

AI runs the strategy. You ship features at work and review your weekly P&L on the dashboard.

Frequently Asked Questions

Why pay for this when I could build it myself?
Because building it is easy; maintaining live execution every trading day for years is expensive in attention and emotionally. We do that maintenance as a service.
Do you publish the strategy details so I can audit it?
We share strategy class (trend / mean-revert / volatility) and risk constraints. We do not publish parameters or signals — the value is in operating it consistently.
What is the API stack and how reliable is it?
We run on broker REST and websocket APIs (Zerodha Kite, Upstox, Angel SmartAPI, etc.) with redundancy. Status is on the dashboard, and incidents are disclosed.

Ready to stop trading manually?

Join the waitlist. Connect your broker. Let AI handle the rest.

Join Waitlist

Target returns, not guaranteed. Trading F&O involves substantial risk of loss.