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Review Trading Strategy Performance

Strategy performance reports show how an automated strategy is doing: profit and loss over time, drawdown, win rate and the trades behind every number. In QuantPower, every strategy you build and run as an algo bot gets its own performance report, next to the backtest of the same rules, so you can review a running bot against its test and pause or change it on evidence rather than on the mood of one bad day.

Shows
P&L over time, drawdown, win rate
For
Each strategy you build and run as a bot
Use it to
Decide when to pause a strategy
Review Trading Strategy Performance: QuantPower screen with sample dataReview Trading Strategy Performance: QuantPower screen with sample data
Key point
Judge a strategy on its drawdown and its trades, not on its last week. Decide before it goes live the loss, drawdown or slippage at which you will pause it, and write those limits down.

What a performance review covers

  • P&L over time: by day and in total, for each strategy and for all of them together.
  • Drawdown: how far the strategy is below its highest point, now and at its worst.
  • Win rate, average win and average loss: how often it wins, and by how much each way.
  • The trade list: every trade with its entry and exit times, prices, quantity, the reason for the exit and the result.
  • Charges: brokerage and statutory charges on each trade, so you judge results net of costs.
  • Paper and live runs: kept apart, so you can compare paper with live.

The QuantPower Standard plan is free during the Beta (₹299/month after); Professional is ₹499/month and Ultimate ₹999/month, GST extra. See pricing. Verified P&L, in every plan, records what all your trades made, and backtesting gives the tested figures to compare with. Your broker's contract notes and P&L statement remain the official record.

Reading the numbers

No single figure tells you whether a strategy works. Read them together.

MeasureWhat it tells youWatch for
P&L over timeWhether results build steadily or come from a few daysA total carried by one or two large days
DrawdownThe deepest fall from a peak, and how long recovery tookA live drawdown beyond the backtest's worst
Win rateThe share of trades that made moneyA high rate with average losses far larger than average wins
Average win and lossThe size of a typical outcomeAverage losses growing over time
Trade listWhat actually happened on each tradeExits that do not match the rules
Worst dayThe largest one-day lossA worst day close to your daily loss limit

Two figures are worth working out yourself. Expectancy, the average result per trade after costs, shows whether each trade earns anything at all. Slippage, the gap between the price the strategy expected and the fill, shows how much the market takes. Our guide to backtest performance metrics explains each measure and its formula.

Comparing live results with the backtest

A backtest report with net P&L, win rate, maximum drawdown, trade count, the equity curve and recent trades (sample data, values hidden)A backtest report with net P&L, win rate, maximum drawdown, trade count, the equity curve and recent trades (sample data, values hidden)
A backtest report with net P&L, win rate, maximum drawdown, trade count, the equity curve and recent trades (sample data, values hidden)

A live strategy should look like its backtest over the same kind of period, after costs. When it does not, the gap tells you where to look. The figures below are invented to show the method.

Sample strategyBacktestLive, first 40 trades
Win rate58%55%
Average trade after costs₹420₹150
Slippage per trade₹60 assumed₹290
Worst drawdown₹18,000₹9,500 so far

In this sample the win rate is close to the backtest, but the average trade has fallen by ₹270, and ₹230 of that is extra slippage. The rules are working as tested; the fills are not. The fix is the order type or the entry timing, not the strategy's logic.

When to pause a strategy

Set your pause rules before the strategy goes live, when you can think clearly about them. Typical signs that a strategy needs a pause and a review:

  • Drawdown beyond plan: the live drawdown passes the backtest's worst by the margin you set in advance.
  • A longer losing streak than tested: more losses in a row than the backtest ever showed.
  • Slippage far above the assumption: fills keep coming in worse than the backtest allowed for.
  • Trades that break the rules: wrong strikes, missed exits or duplicate orders. Pause until the cause is fixed.
  • Changed market rules: a new lot size, expiry day, margin or STT rate since you tested it. Nifty's lot became 65 from January 2026, and STT on option sales rose to 0.15% of the premium from 1 April 2026.
  • Events it was not tested on: budget day, an RBI policy meeting or election results.
Example
A strategy's backtest shows a worst drawdown of ₹18,000 at one lot. Before going live, you set a pause rule at one and a half times that: ₹27,000. Three months in, the live drawdown reaches ₹21,000. That is worse than the backtest but inside your rule, so you review the trades and keep running. At ₹27,000 you pause and find the cause before it trades again. The figures are samples.

A losing week inside the tested range is not, on its own, a reason to pause. Stopping a strategy at every dip means you keep its losses and miss the recoveries that the backtest counted on. Decide separately what to do with any positions a paused strategy still holds; the tutorial on how to pause automation covers the steps.

After a pause: four choices

  1. Keep it if the cause was outside the rules, such as a broker outage or an untested event, and the numbers are within range.
  2. Resize it if the drawdown is more than you can carry but the strategy still earns per trade. Halving the lots roughly halves the drawdown.
  3. Change one thing, backtest the change, and paper trade it before going live again. Several changes at once make it impossible to know which one helped.
  4. Retire it if the average trade after costs has stayed near zero or below over a long run of trades.

A review routine

  • Weekly, briefly: P&L against plan, any trades that broke the rules, slippage and rejected orders.
  • Monthly, in depth: compare with the backtest over a similar period, check drawdown against your pause rule, and decide whether to keep, resize, change or retire.
  • After any intervention: note what you did and why, so the record explains the numbers later.

Plans

The Standard plan is free during the Beta; see pricing for each plan's daily allowances.

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Frequently asked questions

Should I pause a strategy after a losing week?

Not if the loss is within what the backtest and paper trading showed. Pause on the limits you set in advance, such as a drawdown or losing streak beyond the tested range, not on one bad week.

When should I retire a strategy rather than pause it?

When its average trade after costs has stayed near zero or below over a long run of trades, or the market feature it relied on has gone. A pause is for finding a fault; retiring is for a strategy with no edge left.

Should paper trading results be part of the review?

Yes. Keep paper results apart from live ones, and compare paper, live and backtest over similar periods. A strategy that holds up on paper but not live usually has a problem with fills or costs.

Should I review my strategies together as well as one by one?

Yes. Add up their daily results as well as reading each one, because the combined figure is what your account actually goes through on a bad day.

What can the report not tell me?

Why a strategy made or lost money. It shows results, not causes. Notes on events, interventions and fills explain the numbers, which is why a journal is worth keeping alongside it.

Sources

  • NSE: revision in market lot of index derivative contracts from the January 2026 series (nseindia.com) (checked 20 October 2026)
  • Finance Act, 2026: STT on futures and options from 1 April 2026, and NSE circular NSE/FATAX/73524, 31 March 2026 (checked 20 October 2026)
  • QuantPower plans and features as listed on quantpower.tech (checked 20 October 2026)
Past performance, including live, paper and backtested results, does not guarantee future results. Every figure on this page is a sample, not the result of any strategy. This page is for information only and is not investment advice. Trading involves substantial risk.