I use options as tools for risk management. Some of my fav options strategies and when do I deploy
1 - LEAP buying - Risk capital OR stop loss amount during the severe drawdowns or elongated period of flat trading as it leads to decline in Imp Vol
2 - Selling covered calls - selling 10-20% OTM covered calls especially on high Imp Vol stocks, during high RSI and, recent highs and before strong resistance level. I exclude stocks that have the tendency to make very strong moves in short term and part of my long-term 10x hold
3 - Collar strategy - Sell CC and Buy Puts on stocks made strong gains in last few days/weeks and near-term headwinds expected -> Sell CC 10-20% OTM, collect premiums and buy 15-25% puts below the price. It's a hedging strategy and can be optimized to minimize cost
4 - Selling cash-secured Puts -When the stock price is above comfort level and/or you may suspect the drop in near terms by can't take chance to sit out. If stocks drop you get assignments at your preferred price, if not you collect cash that can be used for buying LEAP
All strategies are dynamic i.e. you take actions based on the outcome of the strategy. Options are for sophisticated investors (By sophisticated here i mean, someone who can understand basic option pricing and movement mechanism)
Every strategy has its risks and if you don't know what risks you are exposed to and how your position can move against you, it's Russian roulette then. I prefer writing and building simulations with moves and exit criteria before hand e.g. below for illustration purpose only
I prefer modeling all large options strategies and moves in Monte-carlo simulations either in excel or Python to optimize size and strike price, sharing some examples below for illustrative purposes
The purpose of this thread is to raise awareness that options should be deployed with proper risk management and understanding of exposure. if you are not savvy to do excel and python use simple public domain tools such as ivolatility calculator by CBOE
Just select, option type, stock symbol, price, strike price, expiry date, imp vol and test it for a large number of combinations, write it down and build a pseudo scenario simulation results
Disclaimer: This thread is not financial advice, shared for information purposes only, and definitely not for those who are looking for tips to buy and sell options based on signals, provided in real-time or in a Patreon or discord group. Learn Options before you deploy it

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More from @sachinvats

1 Apr
@Don7Himanshu
IMO Shopify is an excellent company and I understand it is richly valued but the best days are still ahead, it's focused on SMEs and probably gets the best out of them for customers in this landscape. My family has swiftly moved to it instead of Lazada over time
When i was doing my DD for @klarna and competition landscape, realized that the TAM for e-commerce and fintech is so large that for the competition is irrelevant as long as you have customer-focused product and aggressive customer and sellers acquisition strategy
This helped me to risk e-commerce and fintech companies slightly differently. I focus on customer growth, total $$$ processed, and capital discipline. Shopify and Klarna both qualify on it. Stripe is on the same boat as well, and I also treat Shopify as fintech player too.
Read 5 tweets
31 Mar
Looking to swing trade few of these plays with stocks and covered calls 1-2 contracts only with April 16 expiry

$AI, $LAZR, $QS, $BLNK, $APPS, $PLUG

Criterion --> 5 billion$ market cap, severally beaten stock, and High Imp. Vol., if needed, can hold for longer and continue CC
The strategy here is simple, buy stocks sell covered calls 10-20% from the current price from April 16 expiry. If assigned collect cash, unless sell covered call again 2 weeks out.
One more day before funds made available by a broker to trade as they keep 4-5 days mandatory on hold after being credited. Moving the trade execution to tomorrow, let's see which of these opportunities are still attractive by tomorrow
Read 4 tweets
22 Mar
$PLTR milestones, I expect in 2021

- PLTR YoY revenue for 2021 >50%
- PLTR YoY client revenues >15% for existing client
- PLTR signs 10+ new contracts in existing sectors
- PLTR enters into 5+ new sectors
- PLTR introduce (at least 1) new and/or updated products by YE 2021
Let me add my PT related expectations about $PLTR if market sentiments keep dominating company and sector influence
- EO April 25-26$
- Q2 end near 30-35$
- YE 40-45$
If we see clear emergence of company and sector sentiment overtaking then we can expect higher prices
- Q2 end near 35$+
- YE 60$+
Fundamental news for the company has been stronger and likely not priced in $PLTR stock
Read 23 tweets

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