Below table gets updated on a weekly basis, where the weekly live market data of all our live running Algo trading bots are available. This cannot be considered as Profit or loss statement, rather this is captured for trader analysis purpose. 

Please note the Margin required is average fund required to place the trade and minimum Investment is the amount you should invest against the bot’s deployment.  The investment shall vary based on market volatility and broker. 

You can click to the respective Strategy bots to get details of the bot mentioned below:

  • Bot type
  • Bot’s minimum investment

For daily update you can join our Telegram Channel:

Strategy Bot Performance
Bot Name Instrument Index Holding Type Current Month's Performance (December)
4th Week 3rd Week 2nd Week 1st Week
Options Banknifty Intraday Buy Only 379
Options Banknifty Intraday Buy Only 30 1200
Future & Options Banknifty Intraday Buy & Short 5800
Options Banknifty Swing Bull/Bear Spread 1485 -200 1670
Options NIFTY Swing Bull/Bear Spread 1122 1500 1497
Options Banknifty Positional Bull/Bear Spread -1084 -1156 -1120
Options Banknifty Swing Iron Condor -1725 -550 600
Options NIFTY Swing Iron Condor 700 -1300 -1200
Options Banknifty Swing Option Short -1200 -1050 3500
Options Banknifty Swing Option Short 1889 2649
Future & Options NIFTY Swing Buy & Short 250 38000
Future & Options Banknifty Swing Buy & Short -987 -5008 2670

Weekly data gets calculated from Friday till next expiry.

Disclaimer: The trade data provided represents the real-life returns of our individual trading algorithmic bots in the live market. It is important to note that these results may not align exactly with all the individual trades recorded in respective broker accounts due to factors such as execution slippage, broker charges, and other related issues. 

This is neither an indication nor guarantee similar return in future. Please discuss with your financial adviser prior to invest into any Algo trading product, there a substantial risk of loosing your money associated with FNO trading.

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