The strategies in these illustrations are explained in our trading strategies guides. Customer stories will be added here only with the customers' permission.
Illustration 1: an intraday Nifty option seller
Who: a part-time trader who cannot watch the screen all morning.
Setup (sample values):
- The short straddle strategy in the strategy builder: sell the at-the-money call and put at 9:20, one lot each.
- A stop loss on each leg, a 15:15 time exit and an MTM stop loss on the account.
- A backtest with costs, then two weeks of paper trading.
Daily checks: the daily broker login, margin for both legs and the order book after entry.
Illustration 2: a TradingView chart trader
Who: a trader who wants an order placed when a TradingView alert fires.
Setup (sample values):
- Signal trading linked to an alert on the Nifty chart that buys one lot of an at-the-money option, with a fixed stop loss.
- An MTM stop loss on the account, so a noisy indicator cannot run up losses unchecked.
Daily checks: every alert has a matching order, and the broker login is done before the open.
Illustration 3: a manual trader testing a rule
Who: a trader who trades a moving average crossover on stock futures by hand.
Setup (sample values):
- The same moving average crossover strategy rules in the strategy builder, with exact entry and exit conditions.
- A backtest with costs, a walk-forward testing check on data the rules were not built on, and a month of paper trading before any live order.
Checks: the gap between backtest and paper results, and how many trades the rules take.
Illustration 4: a long-term investor
Who: an investor who buys stocks and ETFs and does not want to watch prices.
Setup (sample values):
- A monthly stock SIP in an index ETF through their own broker account.
- Price alerts on a short watchlist, and an iceberg order to split a larger buy.
Checks: that each SIP order filled and that funds are ready for the next one.
Related guides
- Algo trading for retail traders: what QuantPower offers individual traders
- QuantPower demo: a walkthrough of the platform
- Trading reports and resources: research and data reports
- Paper trading platform for options: test rules with virtual money
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Frequently asked questions
Are these QuantPower case studies about real customers?
No. Each scenario is an illustration built from common setups, with sample values. QuantPower does not publish customer results.
Why does this page show no returns?
Past and simulated results do not predict future results, and SEBI bars brokers from referring to an algo's past or expected returns. We show how the tools are set up instead.
Can I try one of these setups myself?
Yes. Each scenario uses features that are in the platform, so you can build the same setup and run it in paper trading first. Results with real money will differ from any illustration.
Why are the traders in these scenarios not named?
Because they are illustrations, not customers. Each one shows a common way of using QuantPower, with sample values instead of real results.