traddinoperation

#traddinoperation $BTC EDIT:
I am now following a different strategy in which I trade expiry of different index each day. There is no adjustment there, and it is fully automated using Algo trading.

Original Content:

The Thursday expiry strategy

Just trading on Thursday weekly expiries in BankNifty (i.e. around 50 days a year), we can easily get an annual return of 80–100% (means you can almost double your capital every year). The profit rate of this strategy is >90%, and even in case of loss, the loss is very limited.

The strategy

At 9:30 AM, create a short strangle of the strikes whose premiums are around 80–100. We choose 9:30 AM because by that time, market gets settled. These strikes will be around 200–300 points away from the spot price. Eg: today i.e. 18th March 2021, at 9:30 AM, BNF was trading at around 34600. I sold 1 lot each of 34800CE (at Rs. 120) and 34300PE (at Rs. 87). To reduce the margin, I also bought deep OTM options (32500PE at Rs. 3 and 36500CE at Rs. 4). On Zerodha, margin required for this setup is around Rs. 40k.

Target

Now, total premium we can get (if market stays in our strangle i.e. between 34300 and 34800) is 200 points (120+87–3–4). However, our objective is not to get full premium, instead we will collect only 30% of the total premium i.e. 60 points. Once we get 60 points, we can exit the trade. Even if you continue the trade, book the profit with at least half quantity. Also at any stage, if sum of the premiums gets under 40, definitely exit the trade as the chances of loss increase after that. Generally, by 11:30 AM, we will get 60 points. 60 points means Rs. 1500 i.e. around 4% returns. Positive things first: we have 4 thursdays in a month. If we get Rs. 3000, then that gives 8% monthly return, equivalent to 96% annual return.

Stop-loss

Ofcourse, things can go wrong, so we should always trade with an SL. The SL for both CE and PE of the strangle will be sum of the premiums i.e. in our example, it will be around 200. This stop-loss will get hit if market moves by at least 300 points.

Adjustment

#traddinoperation World Championship Tennis (WCT), founded in 1967 by Lamar Hunt, was a groundbreaking professional tennis circuit that helped usher in the Open Era. It introduced key innovations like colored clothing, tie-breaks, and television-friendly formats, changing how tennis was played and watched. WCT offered guaranteed contracts and a structured tour, attracting top players like Rod Laver and Arthur Ashe. The WCT Finals in Dallas became a marquee event. Though it eventually merged with other tours, WCT’s influence lives on in modern tennis through its contributions to professionalism, media appeal, and global fan engagement.

---

Let me know if you'd like this adapted to another context or field.

#traddinoperation crypto content creators to earn rewards and tokens by producing high-quality, relevant, and engaging posts. Users can participate through specific tasks such as posting with hashtags, following projects, or trading activities. A key feature is the Mindshare Leaderboard, which ranks creators in real time based on value, creativity, relevance, and engagement. Unlike traditional systems that reward only volume, emphasizes quality over quantity, discouraging spam or repetitive content. This approach empowers creators while promoting authentic, meaningful contributions within the Web3 ecosystem.

#traddinoperation World Championship Tennis (WCT), founded in 1967 by Lamar Hunt, was a groundbreaking professional tennis circuit that helped usher in the Open Era. It introduced key innovations like colored clothing, tie-breaks, and television-friendly formats, changing how tennis was played and watched. WCT offered guaranteed contracts and a structured tour, attracting top players like Rod Laver and Arthur Ashe. The WCT Finals in Dallas became a marquee event. Though it eventually merged with other tours, WCT’s influence lives on in modern tennis through its contributions to professionalism, media appeal, and global fan engagement.

---

Let me know if you'd like this adapted to another context or field.

#traddinoperation
ETH/USDT Swing Trade
This morning I spotted an ascending triangle forming on the ETH/USDT 4-hour chart. Price had tested resistance at $2,950 three times with decreasing selling pressure. I placed a buy order slightly above the breakout level with a stop-loss at $2,890 to protect my capital. My take-profit was set at $3,050, aligning with the measured move target. Once the breakout confirmed with strong volume, the trade hit target within hours. I closed the position for a solid gain and followed my rule of not chasing additional entries. Consistency and discipline are what turn small wins into long-term growth.