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Markets · Intraday

Intraday algo trading — minute-level systems with automatic square-off

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Short answer

Yes — INDfolio AI runs intraday strategies on minute-level NSE data across equity, futures and options, with automatic square-off before close and a hard daily loss cap enforced in the cloud. Build the system in plain English or visual blocks, backtest it with full Indian intraday costs, paper trade it on live prices, then deploy through your broker’s official API.

Intraday trading is a discipline problem wearing a strategy costume. The rules are usually simple — a breakout, a VWAP touch, a momentum trigger — but executing them identically at 9:20 every day, honouring the stop every time, and going flat before close without exception is what humans fail at. Automation is the fix: INDfolio AI executes the same rules the same way every session, inside your time window, and squares off on schedule whether the day went well or badly.

Strategies run on minute-level NSE data across the markets the platform supports — equity, index and stock futures, and options. The daily loss cap sits above everything: when the account hits your limit, the platform stops trading and closes out, which is the single control that decides whether an intraday trader survives a bad week.

Minute-level data

Strategies evaluate on 1-minute and higher intraday timeframes, in backtests and live — the resolution intraday logic actually needs.

MIS square-off, guaranteed by rule

Positions close automatically at your configured time, safely before the broker’s cut-off — no open positions carried by accident.

Daily loss cap

A hard maximum daily loss halts trading and squares off when hit — enforced in the cloud, immune to one-more-trade reasoning.

Time-window control

Trade only between the times you choose — skip the opening chaos, stop initiating after lunch, or run the full session. Your rules.

Minute-level data and square-off timing

Intraday systems live and die on timing details. INDfolio AI evaluates strategy logic on minute-level NSE data, so a 9:20 entry means 9:20, and a rule like "enter on a break of the first 15-minute range" operates on the candles it names. The same data resolution drives backtests, which is why backtested and live behaviour rhyme.

Square-off is treated as a hard rule, not a suggestion. Brokers force-close MIS positions in the final minutes of the session — usually with a penalty charge and at whatever price the market offers. INDfolio AI closes your positions at the time you configure, comfortably before that window, under your control rather than the broker’s risk desk’s. In backtests, the same exit applies, so simulated results never smuggle in overnight moves an intraday trader would never see.

Daily loss caps: the control that keeps intraday traders alive

Every intraday blow-up follows the same script: a losing morning, a doubled position to get it back, a worse afternoon. The defence is a maximum daily loss decided calmly in advance and enforced by something that cannot be argued with. On INDfolio AI that cap runs in the cloud alongside your strategies — when it is hit, new entries stop and open positions are squared off, account-wide.

Set it as a fraction of capital you can lose many days in a row without damage — because losing streaks are normal, and Monte Carlo simulation on your backtest will show you just how long they plausibly run. The cap is what turns a bad day into a data point instead of an ending.

Scalping, frequency and why costs decide everything intraday

The higher the trade frequency, the more the cost stack — brokerage, STT, exchange charges, GST, stamp duty, slippage — becomes the strategy’s real opponent. A scalping system that nets 0.1% per trade before costs can be a loser after them, and a backtest that ignores costs will tell you the opposite. INDfolio AI deducts the full Indian cost stack from every simulated intraday trade, which is precisely why its backtests are worth reading.

A fair boundary: INDfolio AI executes in seconds through official broker APIs, which suits breakout, momentum, VWAP and systematic scalping strategies measured in minutes. It is not a co-located, tick-level HFT system, and no retail platform honestly is. Also worth stating plainly: SEBI’s published research has found that a large majority of individual intraday traders lose money — automation gives you discipline and honest measurement, not a guaranteed edge.

FAQ

Frequently asked questions

How does automatic square-off work?

You set a square-off time for each intraday strategy, and INDfolio AI closes its open positions at that time from the cloud — safely before the broker’s forced MIS square-off window. The same rule applies in backtests, so results never include overnight moves.

Can I limit how much I lose in a day?

Yes — a maximum daily loss cap is a core risk control. When the limit is hit, the platform stops taking new entries and squares off open positions. It is enforced server-side, so it works even if you are away from the screen or tempted to override it.

What intraday strategies can I automate?

Opening-range breakouts, VWAP-based systems, momentum and trend triggers, RSI mean-reversion, time-based options entries, Chartink scanner-driven trades — anything expressible as rules on minute-level data, across NSE equity, futures and options.

Is this suitable for scalping?

Systematic scalping measured in minutes, yes — with the warning that costs dominate at high frequency, which INDfolio AI’s backtests model honestly. Tick-level, co-located HFT is not what retail platforms do, and anyone claiming otherwise deserves scepticism.

Do I need to keep my computer on during market hours?

No. Strategies, risk limits and square-off all run in INDfolio AI’s cloud, connected to your broker’s official API. You get alerts on entries, exits and risk events; your laptop can stay closed.

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