AlgoSpace is an algorithmic trading platform by 5paisa that helps you discover, evaluate, and automate trading strategies. Whether you're a beginner or an experienced trader, you can deploy strategies with or without coding knowledge.

Yes. AlgoSpace offers Ready-to-use Strategies that can be deployed instantly, making algorithmic trading accessible even without technical expertise.

No. Ready-to-use Strategies can be deployed without any coding. Advanced users can also build, test, and automate their own strategies.

Ready-to-use Strategies are pre-built strategies created by SEBI-registered analysts. They can be deployed instantly without any coding or customization.

AlgoSpace supports strategies across Equity, Futures and Options.

Browse the available strategies, select one that matches your trading goals, choose your investment amount, and deploy it in just a few clicks.

Yes. You can review a strategy's historical performance across different periods, including 1 month, 3 months, 6 months, and 1 year. Simply click on the strategy card or select View Details.

Investment Amount is the capital allocated to a strategy during its lifecycle. Depending on the strategy, it may utilize a portion or all of the allocated capital at any given time.

No, you can’t deploy a strategy multiple times. Although you can increase or decrease the allocation for that strategy. If done during market hours, while the strategy is already running, it will come into effect the next day.

No. Historical performance is provided for informational purposes only and does not guarantee future returns.

All active and completed strategies are available in the Deployed Strategies section, where you can monitor positions, performance, and P&L in real time.

The Deployed section provides a consolidated view of:

• Amount Deployed – Total capital allocated across running strategies
• Amount Utilized – Capital currently being used in active positions
• Total Positions – Number of active positions across strategies
• Total P&L – Combined profit or loss across running strategies

Go to the Deployed section and select a strategy from either the Running or Finished tab. Click View Details to access:

• Positions – Current open positions
• Performance – Strategy performance over time
• Trades – Complete list of executed trades
• Logs – System-generated activity and execution updates

Unrealised P&L: Profit or loss on open positions that can change with market movements.

Realised P&L: Profit or loss already booked from closed positions.

Yes. You can stop or square off a running strategy at any time from the Deployed Strategies section.

Both options are available when you click Stop on a running strategy.

Stop Strategy: Prevents the strategy from taking new trades while keeping existing positions open. Typically recommended for positional strategies.

Square Off: Closes all open positions at the current market price and exits the strategy completely. Typically recommended for intraday strategies.

Auto Run automatically starts eligible strategies after you log in, eliminating the need to manually start them every trading day. Daily login to AlgoSpace is still required.

You can enable or disable Auto Run anytime from the Deployed Strategies section using the Auto Run toggle. You can also manage Auto Run settings for all eligible strategies from the Auto Run Status option available in the Deployed section.

Strategies enabled for Auto Run will not start automatically unless you log in to AlgoSpace on that trading day.

Yes. DDPI is required for Equity strategies. Without DDPI, orders may get rejected, which can impact strategy execution and performance.

The strategy may not be able to execute trades if adequate funds or margin are unavailable. You can add funds directly through your 5paisa account.

If additional margin is required, you'll see an option to add funds during deployment. You can also add funds anytime from the Profile section in the top-right corner of the platform.

Only statutory brokerage applicable. There are no other platform charges that we levy.