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% Backtest

Deploy

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% Backtest

Deploy

Homecoming Short Strangle Overnight

by Stratzy

NiftySellingNon-directional

Imagine you're a shopkeeper predicting foot traffic in your store. This algorithm is similar: it analyzes past market data (like historical prices and volatility) to estimate how much an index will move overnight. Based on this estimate, it decides to "rent out" a range of prices *above* and *below* where the index is currently trading. If the price stays within that range, the algorithm keeps the "rent" (profit). It's like betting that not many customers will come into your store, and then profiting because you were right. This algorithm trades "short strangles" on the NIFTY 50 index options. Short strangles are typically chosen when the market is expected to be relatively stable, with low volatility, overnight. The idea is that the prices of the options sold will decline as time passes, and the algorithm profits from this decay, as long as the underlying asset's price doesn't move beyond a certain range.

Min. Amount: ₹2,50,000

Results:

IIIIIIIIIII% Backtest

Deploy

Bazaar Short Strangle Overnight

by Stratzy

NiftySellingNon-directional

Imagine you're a roadside fruit vendor who wants to make a little extra money overnight. You notice that prices for mangoes and bananas tend to be stable, but might fluctuate slightly. So, instead of betting on one specific fruit going up or down, you decide to sell both mangoes *and* bananas at a slightly lower price, hoping they stay within a predictable range. As long as neither fruit price swings wildly up or down, you profit from the difference between your selling price and where you bought the fruit, like a small "premium" for bearing the risk. If mangoes soar in price or bananas become worthless, you might lose money, but you're counting on things staying calm overnight. This algorithm is designed to trade options on the stock market index, Nifty 50. Specifically, it executes what's called a "short strangle" strategy, which involves selling both a call option (the right to buy) and a put option (the right to sell) on the index, both outside of the current market price. This strategy typically works best when the market is expected to be relatively stable, with minimal price fluctuations. The goal is to collect a premium from the sale of these options, profiting if the index price stays within a certain range until the options expire.

Min. Amount: ₹2,50,000

Results:

IIIIIIIIIII% Backtest

Deploy