Search Strategies
created : 1 year ago | live deployment: 6
Nifty Flagship Strategy 1015am
This strategy enters the market once the daily fluctuations have subsided a bit. Best used on sideways and slightly volatile markets, this strategy pr Read more
created : 1 month ago | live deployment: 23
This stock bag will buy small cap stocks as per opportinity.Holding period can be upto 6 months and can be exited in few days too.Strategy automatical Read more
by: Market Star
by: Market Star
created : 1 year ago | live deployment: 2
NIFTY GLADIATOR is an Intraday Options Buying Algo. NIFTY GLADIATOR is based on PRICE ACTION.When Bullish Setup is formed in Nifty, It Read more
by: The Algomatic
by: The Algomatic
created : 4 months ago | live deployment: 14
While deplying this strategy enter the amount to invest and it will buy equal value of the stocks.Click invest every month whenever you want to invest Read more
by: Market Star
by: Market Star
created : 4 months ago | live deployment: 14
It buys NiftyBees, GoldIETF, Mid150Bees, CPSEETF, BankBeesITBees equal amount Read more
by: Market Star
by: Market Star
created : 2 months ago | live deployment: 2
Nifty Option Selling Weekly Lizard
It is a Nifty Option Selling Strategy which has 4 different strikes of weekly option selling and 2 strikes of option buying for minimum utilization of Read more
created : 1 year ago | live deployment: 13
AW106. Algoways Expiry Strategy
The strategy will trade expiry index daily, i,e, Mon-Bankex, Tue-Fin Nifty, Wed- BN, Thu - Nifty, Fri-Sensex Margin required - Rs. 200 Read more
by: AlgoWays
by: AlgoWays
created : 6 months ago | live deployment: 1
Fast And Furious MOMENTUM: All Indices
This is a Momentum strategy executed thru Options Selling (Intraday). Reacts to market moves fast. Takes position in NIFTY(2 lots), BANKNIFTY, FINNIFT Read more
by: StrAlgo Labs
by: StrAlgo Labs
by: The Professor
created : 1 year ago | live deployment: 9
145 Strategy only BUY with 15pt Nifty
Disclaimer : I am not a SEBI registered investment or financial advisor. Don't deploy our strategies purely based on past performance only. Read more
by: sripriya
by: sripriya
by: JP
by: Quantrads