New strategy Simulated

Write the rules block by block. Check shows the strategy back in words without saving; Save fixes it as a version with a checksum. Signals are read at a session's close and orders go in at the next session's open - a close cannot be both the signal and the fill.

All strategies

Name

The idea behind it (optional)

Edit as the form JSON

Universe

Scan

NIFTY 500 uses the list on file for the session where there is one. F&O and sectors are today's lists - the run says so.

Average turnover at least (₹ lakh a day)

0 for no liquidity floor. 100 = ₹1 crore a day over 20 sessions.

Sector index

Symbols, separated by commas

Entry

Enter when these conditions hold a saved scanner matches

Scanner (pinned to this version - later versions of it do not change the strategy)

Entry conditions

Match of these groups.

Group 1: match of

When more match than there is room for, prefer

Order

New positions a day at most (0 = no limit)

Size and risk

Position size

Amount

Per cent, rupees or per cent risked, by the method; ignored for equal weight.

Most positions open at once

Largest position, % of equity

Largest sector, % of equity

No new entries after a day's loss of % (0 = off)

Stop, target and exit

Stop

Stop distance

Target

Target distance

Also exit when (leave blank for none)

Match of these groups.

Group 1: match of

Exit after this many sessions (0 = no limit)

A position closes on whichever comes first: the stop, the target, an exit condition, or the holding limit. A gap through a stop fills at the first price that traded, not at the stop - that is how the backtest and the paper account will model it.

Measured how

Check the rules

Benchmark

Charges model

Itemised STT, exchange, SEBI, stamp duty, DP and GST with 10 bp slippage - simulated charges, an estimate, not a contract note.

Starting virtual capital (₹)

Strategy (JSON)

{
    "benchmark": "NIFTY 50",
    "capital": {
        "initial": 1000000
    },
    "costs": {
        "model": "in_eq_delivery_2026.09"
    },
    "entry": {
        "max_new_per_day": 3,
        "rank": {
            "by": "rs_nifty_60",
            "order": "desc"
        },
        "scanner_rules_hash": null,
        "scanner_version_id": null,
        "where": {
            "all": [
                {
                    "left": "breakout_20d",
                    "op": "==",
                    "right": {
                        "value": 1
                    }
                },
                {
                    "left": "volume_ratio_20",
                    "op": ">=",
                    "right": {
                        "value": 1.5
                    }
                },
                {
                    "left": "close",
                    "op": ">",
                    "right": {
                        "feature": "sma_200",
                        "times": 1
                    }
                }
            ]
        }
    },
    "exit": {
        "max_holding_days": 0,
        "where": {
            "any": [
                {
                    "left": "close",
                    "op": "<",
                    "right": {
                        "feature": "sma_50",
                        "times": 1
                    }
                }
            ]
        }
    },
    "rebalance": "daily",
    "risk": {
        "daily_loss_guard_pct": 3,
        "max_position_pct": 15,
        "max_positions": 12,
        "max_sector_pct": 35
    },
    "sizing": {
        "method": "risk_per_trade",
        "value": 1
    },
    "stop": {
        "method": "trailing_atr",
        "value": 2
    },
    "target": {
        "method": "none",
        "value": 0
    },
    "timing": {
        "execution": "next_open",
        "signal": "close"
    },
    "universe": {
        "kind": "nifty500",
        "min_turnover_lakh": 100,
        "value": null
    }
}

Shows the spec as last loaded or checked. Entry and exit conditions use the scanner format.

What changed (saved with the version, optional)

Simulated. A strategy is a set of rules for a virtual account; the site makes no recommendation and no forecast.