Discover Algos by Instruments
Equity Algos
Algos to trade stocks with speed and precision

Bullion Strategy Automated
Automated basket of gold and silver ETFs You need to have DDPI enabled account to be able to trade in this algo.

Dividend Dons Automated
A portfolio of dividend giving stocks. You need to have DDPI enabled account to be able to trade in this algo.

Industry Champs Automated
Monopoly relates to the category of businesses that are market leaders in their industry due to a significant competitive advantage. These firms are difficult to compete with and keep the largest market share for their products and services. Companies in leadership positions can effectively control the pricing in their segments due to their stronghold on the market. Because the unique feature provides a competitive advantage and the resulting stickiness in revenues, such monopolies have a promising future. The company’s goodwill is another factor that distinguishes these companies who have prolonged existence and a history of generating revenues even in adverse economic conditions and so they are among the first ones to benefit in a recovering market. Market leaders possess strong prestige and brand value so they attract the highest-quality development partners and have extraordinary brand recognition. They are most likely to be innovative in adopting the technologies and processes that will help them continue to outshine their competition. They also enjoy high liquidity on the bourses as investors always have a high appetite for these stocks. Rebalancing: This strategy is rebalanced to ensure that only good ideal stocks of market leaders are there in your portfolio. You need to have DDPI enabled account to be able to trade in this algo.

Wealth Magnet Automated
Automated version of Wealth Magnet basket You need to have DDPI enabled account to be able to trade in this algo.
Nifty Options Algos
Automated strategies for nifty traders

Ratio-Fluxer Credit Spread Expiry
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.

SkewHunter
High risk option buying algo that carries trade till end-of-day.

Zen Credit Spread Overnight
Utilizing the principles of Hamiltonian mechanics, this algorithm identifies and executes optimal credit spread trades with precision.

Fixed RR 1:3 (30% SL)
High risk, less frequent, un-hedged option buying trades that hunt for a fixed risk-reward of 1:3 with a 30% stop-loss.



