Discover Algos by Instruments

Bullion Strategy Automated

by Stratzy

EquityLong-Term

Automated basket of gold and silver ETFs

Min. Amount:₹1,00,000

Results:

Dividend Dons Automated

by Stratzy

EquityLong-Term

A stock picking algo of dividend giving stocks.

Min. Amount:₹30,000

Results:

Alpha Industries Automated

by Stratzy

EquityLong-Term

Invest in top sectoral ETFs.

Min. Amount:₹35,000

Results:

Wealth Magnet Automated

by Stratzy

EquityLong-Term

A classic stock picking algo thats holds stocks from medium to long term.

Min. Amount:₹1,00,000

Results:

Ratio-Ripple Credit Spread Exit-Early

by Stratzy

NiftyHedgedDirectional

This algorithmic trading strategy, named "Ratio-Ripple Credit Spread Exit-Early," aims to identify opportunities in the NIFTY 50 index options market by analyzing the relationship between implied volatilities (IV) of out-of-the-money (OTM) and at-the-money (ATM) options. The algorithm calculates a proprietary alpha signal derived from the difference between OTM and ATM implied volatilities and their rate of change, using time-series ranking to normalize the signal. Trades are triggered when the alpha signal exceeds a predefined threshold, indicating a potential mispricing in the options market. A secondary condition has been added that checks the rate of change of delta values. The algorithm factors in market open hours, expiry dates and tested time periods to find trading opportunities. The algorithm implements a credit spread strategy, specifically targeting the execution of credit call spreads or credit put spreads based on the signals generated. Credit spreads profit from a narrowing of the spread between the short and long options, which typically occurs when implied volatility decreases or when the underlying asset price moves in a favorable direction. The trades are executed by shorting a near-the-money (NTM) option and simultaneously buying a further out-of-the-money (OTM) option with the same expiration date and strike type, limiting potential losses. This strategy is typically favorable in sideways or moderately trending markets, where the expectation is for the underlying asset to remain within a defined range, allowing the options to expire worthless or with reduced value, thus generating profit.

Min. Amount:₹1,20,000

Results:

Ripple-Return Credit Spread Expiry

by Stratzy

NiftyHedgedDirectional

The "Ripple-Return Credit Spread Expiry" algorithm is designed to identify and execute credit spread option strategies on the NIFTY 50 index, aiming to profit from the decay of option premiums as they approach their expiry date. The core strategy involves analyzing implied volatility (IV) across different strike prices to determine potential overpricing of options. It leverages technical indicators, specifically comparing the IV of out-of-the-money (OTM) options against at-the-money (ATM) options and their rate of change (delta), using a time-series rank to normalize the alpha signal. By identifying instances where OTM options are relatively overpriced compared to ATM options, the algorithm seeks to sell the overpriced options and simultaneously buy options further out-of-the-money to create a credit spread. The algorithm incorporates risk management techniques such as setting stop-loss and target levels based on a percentage of the margin required and/or spread premium, respectively. This algorithm trades credit spreads on NIFTY 50 index options, specifically targeting weekly expiry options. Credit spreads benefit from sideways or moderately directional market movements where the sold options expire worthless, allowing the trader to keep the premium received. The algorithm enters trades between 10:15 AM and 2:15 PM, avoiding trading on expiry days and outside of defined trading hours to align with backtested timeframes. The strategy aims to capitalize on the time decay of options close to expiry, while limiting potential losses through the purchase of further OTM options in the spread.

Min. Amount:₹1,20,000

Results:

SkewHunter

by Stratzy

NiftyBuyingDirectional

A naked-options “Skew Hunter” algo that hunts extreme IV and volume-OI skew across strikes—entering directional options only when both volatility and flow signals align, with strict intraday risk controls.

Min. Amount:₹1,00,000

Results:

SkewHunter TSL

by Stratzy

NiftyBuyingDirectional

A naked-options “Skew Hunter” algo with a TSL that targets extreme IV and flow skew, taking directional trades only when both signals align—then locking in gains through an adaptive trailing stop-loss.

Min. Amount:₹1,00,000

Results: