Algo Trading Strategies Based on Risk Tolerance

Low Risk Algos

Capital-preserving algos with steady returns

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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:

IIIIIIIIIII%

EARLY ACCESS

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:

IIIIIIIIIII%

EARLY ACCESS

Ratio-Fluxer Credit Spread Expiry

by Stratzy

NiftyHedgedDirectional

The "Ratio-Fluxer Credit Spread Expiry" algorithm seeks to capitalize on short-term imbalances and inefficiencies in the options market by identifying specific conditions related to implied volatility (IV) and price action to generate potential trading opportunities in NIFTY options. The strategy uses a combination of factors derived from option implied volatility, price action, and statistical analysis to generate a normalized "alpha" signal. This signal is then combined with other technical indicators to identify potential entry points for trades. The algorithm takes a contrarian approach, seeking to fade unsustainable market conditions which are quantified using ratios of IV entropy, imbalances in curvature, and skewness. The algorithm aims to identify opportunities where implied volatility might revert to a more sustainable level. It does this by analysing the "alpha" signals. This algorithm trades a credit spread on NIFTY options, specifically looking for opportunities to profit from the time decay of options contracts with a focus on expiry. The trades are triggered based on the calculated "alpha" and skewness of the implied volatility in the options chain. A credit spread involves selling a near-the-money option and buying a further out-of-the-money option of the same type (either puts or calls) with the same expiration date. This strategy benefits when the price of the underlying asset remains relatively stable or moves in a direction that allows the sold option to expire worthless, while the bought option limits potential losses. A credit spread benefits if there is low volatility in the market and it trades in a range-bound manner.

Min. Amount: ₹1,20,000

Results:

IIIIIIIIIII%

Intraday Short Strangle

by Stratzy

NiftySellingNon-directional

Daily strangle algo.

Min. Amount: ₹2,50,000

Results:

IIIIIIIIIII%

Medium Risk Algos

Balanced algos with risk-reward in check

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Chanakya Short Strangle Overnight

by Stratzy

NiftySellingNon-directional

Imagine you are a farmer deciding when to harvest your crops. You look at various factors like weather patterns, the plant's growth stage, and even the overall market demand for your produce. Instead of just guessing, you use a checklist and some historical data to see if all the conditions are right: is the crop mature enough? Is the weather stable for a few days? Are there signals that prices might rise soon? If everything lines up according to your plan, you harvest; otherwise, you wait and check again later. This algorithm similarly assesses market conditions and executes a trading strategy only when specific criteria are met, aiming to capitalize on those moments. This trading algorithm focuses on "short strangles" on the NIFTY 50 index options, a strategy that benefits when the market is expected to remain relatively stable. A short strangle involves simultaneously selling a call option (betting the price won't go much higher) and a put option (betting the price won't go much lower) at strike prices outside the current market price. This strategy can be profitable as long as the price of the underlying asset doesn't move beyond those strike prices before the options expire, allowing the trader to collect the premium from selling the options.

Min. Amount: ₹2,50,000

Results:

IIIIIIIIIII%

EARLY ACCESS

Sahi-Nivesh Short Strangle Overnight

by Stratzy

NiftySellingNon-directional

Imagine you're running a small shop and need to decide what to stock for the upcoming week. Instead of guessing, you look at a bunch of information: recent sales data (like past prices), general market trends, and even what's popular on social media (like implied volatility and sentiment). You use all this to figure out if there's a good opportunity to sell something everyone thinks will stay stable – like umbrellas before a predicted sunny week. The goal is to make a small profit if things go as expected, but be ready to quickly cut your losses if the weather suddenly changes. This algorithm does something similar, using market data and indicators to find opportunities where it believes things will stay relatively calm, so it can profit from that stability. This algorithm trades "short strangles" on the NIFTY 50 index, which is like betting that a stock's price won't move much. A short strangle strategy typically works best when the market is expected to be relatively stable. It sells options contracts that will only make money for the buyer if the price of the underlying asset moves a lot. The strategy aims to collect small profits from these options contracts expiring worthless if the market stays within a certain range. It works when the market prediction is stability, or low volatility.

Min. Amount: ₹2,50,000

Results:

IIIIIIIIIII%

Alpha Industries Automated

by Stratzy

EquityLong-Term

Invest in top sectoral ETFs.

Min. Amount: ₹35,000

Results:

IIIIIIIIIII%

Holonomy's Short Strangles

by Stratzy

NiftySellingNon-directional

This Morning Short Strangle algo strategically sells both call and put options on the index in the morning, aiming to capitalize on premium decay or range-bound market conditions.

Min. Amount: ₹3,00,000

Results:

IIIIIIIIIII%