Discover Algos by Trading Style
Equity Swing Algos
Algos to catch multi-day stock price swings
Crossover Formula Automated
Filters out stocks that have given golden crossovers and can thus go up on a monthly timeframe.
Stocks Select
Creates a stock basket of un-correlated stocks that can go up on a weekly timeframe.
Big Boys Basket Automated
Company is the ship where the management is the Captain. Captain might not typically be driving the boat, but direct others to look after all the factors that ensure a safe trip. Institutional investors like FII and DII play a huge role in helping the ship travel to its destination. They represent the healthy capitalist outlook and high confidence of big players in that stock. Strong management is the backbone of any successful company. Employees are also very important, but it is management that ultimately makes the strategic decisions. Stock markets are primarily driven by institutional money. This is because they invest huge amounts which otherwise are impossible for retail investors. FIIs and DIIs account for the bulk of the liquidity in the market. Tracking their inflows and outflows can help predict broader trends in the market. Essentially, we identify quality companies on the basis of qualitative and quantitative factors:- 1. Management Quality 2. Industry Outlook 3. Financial strength 4. Shareholding patterns (Institutional Investments) You need to have DDPI enabled account to be able to trade in this algo.
NIFTY Champions
Champions – Nifty 50 is a high-conviction, rules-based equity strategy that invests in the top 5 ranked stocks from the NIFTY 50 using the proprietary MOST framework. The portfolio is sector-agnostic, equally weighted, and dynamically rebalanced, making it suitable for long-term investors comfortable with concentration and active risk.
Option Buying Algos
Aggressive option buying algos - extreme risk
SkewHunter
High risk option buying algo that carries trade till end-of-day.
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.
SkewHunter TSL
High risk option buying algo with a trailing stop-loss that carries trade till end-of-day.
Settle-Down 40% TSL
A patient intraday strategy that focuses on quality opportunities over constant trading. Settle Down 40% is built for traders who prefer a measured approach instead of chasing every market move. Rather than reacting to every fluctuation, the strategy waits for conditions that align with its framework before taking a position. It generally participates using options slightly away from the current market price, helping balance opportunity with controlled exposure. As a trade begins to move in its favour, the strategy gradually shifts its focus from finding additional profits to protecting the gains already made. This disciplined approach helps reduce emotional decision-making and keeps the strategy focused on consistency over excitement. When market conditions don't offer a favourable setup, it is equally comfortable waiting for the next opportunity instead of forcing a trade.
Option Selling Algos
Strategies for option sellers
Expiry Short Strangle
Carries the short strangle from one expiry to next, aiming for complete premium decay.
Intraday Short Strangle
Daily strangle algo.
Lattice Short Straddles
A short straddle is an options strategy that involves selling both a call and a put option with the same strike price and expiration date.
Compressed Strangle
Executes overnight short strangles that capitalizes on correlation compression in the options market.
Hedged Option Algos
Controlled payoff structures for conservative traders
Zen Credit Spread Overnight
Utilizing the principles of Hamiltonian mechanics, this algorithm identifies and executes optimal credit spread trades with precision.
Curvature Credit Spread Overnight
Utilizing the principles of Hamiltonian mechanics, this algorithm identifies and executes optimal credit spread trades with precision.
Damper Credit Spread
Utilizing the principles of Hamiltonian mechanics, this algorithm identifies and executes optimal credit spread trades with precision.
Delta-Rotation Credit Spread Expiry
This algorithm, named Delta-Rotation Credit Spread Expiry, aims to capitalize on short-term market inefficiencies by identifying potential credit spread opportunities in Nifty options. The core strategy revolves around analyzing various option chain parameters like implied volatility (IV), option greeks, market energy (Hamiltonian), entropy, and price action to gauge the overall market sentiment and identify potentially mispriced options. This is done by calculating an 'alpha' value, which is derived from a combination of IV, curvature, Hamiltonian, eigenvalues, entropy, and predicted volatility. The algorithm uses this alpha, in conjunction with its momentum and a related "alpha2" value based on spot returns and implied volatility curvature changes, to make informed decisions about initiating credit spreads. The signal generation logic triggers a trade when specific conditions related to the calculated 'alpha' values are met, indicating either a bullish or bearish sentiment. A bullish signal prompts the creation of a credit put spread by selling an at-the-money (ATM) put option and buying an in-the-money (ITM) put option to cap the potential loss. Conversely, a bearish signal triggers a credit call spread by selling an ATM call option and buying an out-of-the-money (OTM) call option. Risk management involves calculating the margin required for the trade and setting a stop-loss percentage based on this margin. Additionally, the algorithm sets a target profit level, aiming for 50% of the maximum potential profit from the spread, with a time-based expiry for the target, and will not trade if a similar trade has not yet closed. It checks the position and does not open a trade if one is open. The algorithm checks the current time to make sure that a trade is valid within testing time. The algorithm will check the expiry date to see if it should trade or not. It will also not trade when the market is closed or outside the testing hours.
Equity Long Term Algos
Smart, steady algos for long-term equity investments
Wealth Magnet Automated
Automated version of Wealth Magnet basket You need to have DDPI enabled account to be able to trade in this algo.
Alpha Industries Automated
Invest in top sectoral ETFs.
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.
Similar Categories
Equity Swing Algos
Option Buying Algos
Option Selling Algos
Hedged Option Algos
Equity Long Term Algos
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V-Score Credit Spread Overnight
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