BC OPTIONSLEARNINGS
Saved by @SAnngeri

The best spreads trader on Twitter: @Ronak_Unadkat

He trades in Nifty & Bank Nifty via spreads majorly.

In the Jainam Broking Speech, he shared how he trades debit and credit spreads:

Here's a breakdown of his 10 step method: 🧵

Collaborated with @niki_poojary

 1. Why trade via spreads?

Overnight risk will be always capped
Limited Risk will keep you cool
Hedge our position

Strictly not to do for margin, as that will lead to overleveraging.

Traders Sell option for 100 and buy 10 rs option.

That is for margin reduction, not a spread.
2. Circuit:

If the market opens at the lower circuit or upper circuit, then our loss should be limited.

Eg - Expiry Trading on the 24th Feb Expiry

The market gapped down & traders lost huge sums of money.

Some lost 15% or 20% of their capital in a 4% index move.
If in 4% people are losing so huge then imagine if Modi says black money is back, we will open at an upper circuit.

If India-Pakistan tension news comes again we will open at a lower circuit.

In a 4% index move, people lost 10%, so in the case of a circuit, they will lose 50%.
To recover a 50% loss on capital, you need to make 100% returns with the leftover capital to break even.

In these cases, spreads cover your risk.

Even he lost 3-4% of capital on 24th but it is easy to recover in 1-2 months.
3. Rules:

Shouldn't lose more than 15% of your capital in case of a lower circuit. (Worst scenario)

Adjustments become easy if the risk is capped.

Doesn't care for greeks but you should know if delta or gamma impacts you, what is our risk we should always be aware of it.
4. Adjustments:

If the market goes against you in a debit spread, you can adjust by selling more options to make it a ratio spread.

Debit Spreads adjustments he does by converting it to a ratio.
Credit spreads no adjustments only stop loss.
5. Holding power:

If you trade in debit spreads, your 100 comes down to 60 but the 40 rs sold one will come down to 25.

If you bought naked options, then your 100 rs when it comes to 50, you will get out due to 50% capital loss.

After some time it goes back to cost. (regret)
In the case of selling options:

Selling naked options at 100, you will get out when it becomes 200.

Imagine you've sold the 100 rs option and bought a 40rs one for 60 rs credit.

If the 100 becomes 200 then 40 will become 80 so you can hold.

The worst-case loss is fixed.
6. SL hitting without index level move

If you have an index level stop loss, you will get out in naked option s if it doubles without it even touching your level.

They will double and then come back to the price you sold it at.

Whereas in spreads, you can wait out the moves.
7. Overnight Risk:

In credit spreads, you will sell high premiums and buy lower premiums.

To counter this some people think to sell naked options whatever the credit you received in the credit spread.

But the overnight risk is huge in that case.
8. Risk Reward:

Risk reward is not in your favor in such trades.

But the probability is always there. So you will win 8/10 times.

This win rate ensures we make money.
9. When to use which strategy?

During Breakout/Breakdowns go for debit spreads.
You'll get quick money in such trades.

For reversal trades, use credit spreads.
Premiums vanish very quickly in this case.
10. Setup for debit spreads

When PDH breaks trade a call debit spread, keep the current day low as stop loss and trail via swing lows.

When PDL breaks trade a put debit spread, then keep the current day high as stop loss and trail via swing highs.
During Reversals:

Sell Credit spreads during reversals as they help you in case of IV spike

You are protected from IV spikes if you play reversals.

Debit Spreads won't make sense in reversals due to IV crush.
This is the only thread you'll need on spreads trading.

Watch out for @niki_poojary's thread on Mitesh Sir, which she will post today.

If you found this useful, please do RT first tweet.

Follow to never miss them.

See past threads here:
@AdityaTodmal & @niki_poojary

More from Aditya Todmal

Aditya Todmal
Aditya Todmal
@AdityaTodmal
A THREAD on . . . .

How @ITRADE191 selects strikes to trade in and how he follows risk management.

Short thread explained via pictures with the help of @niki_poojary.

1. At the start of the week

i.e. on Friday and Monday, DJ Sir prefers to sell OTM options of 50 rs premium in Nifty.

- ATM options won't decay a lot at the beginning
- With this premium reward is good
- Since these strikes are 4-5 strikes away they are relatively safer


2. On Tue/Wed/Fri

He prefers to trade in ATM or near OTM options.

- ATM options have the highest theta decay
- Since there are only 2-3 days to expiry options sellers by default have a higher probability of winning
- Huge reward if market stays flat


3. Directional/Trending days

- Capture huge profit via ATM option selling
- Futures only where he has good conviction
- Even if doesn't trend much decay will be huge
- Only on days Tuesday to Thursday


4. Which series to trade options in?

- INTRADAY trades option selling is ONLY in weekly expiry
- Option buying for hedging is done MAJORLY in next week/monthly expiry
- This way we have time to adjust
- Theta decay slower than weekly
OPTIONSLEARNING , OPTION LEARNING , ITRADE
Aditya Todmal
Aditya Todmal
@AdityaTodmal
Master Thread of all my threads!

Hello!! 👋

• I have curated some of the best tweets from the best traders we know of.

• Making one master thread and will keep posting all my threads under this.

• Go through this for super learning/value totally free of cost! 😃

1. 7 FREE OPTION TRADING COURSES FOR


2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING

Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX


3. 12 TRADING SETUPS which experts are using.

These setups I found from the following 4 accounts:

1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.


4. Curated tweets on HOW TO SELL STRADDLES.

Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on
OPTION SELLING , OPTIONSTRATEGIES , CATEGORY
Advertisement
Aditya Todmal
Aditya Todmal
@AdityaTodmal
Important Concepts from Power of Stocks— Subhasish Pani

7+ years of trading experience in 14 tweets🧵

Collaborated with @niki_poojary

1/— Inside Candles

Inside Candle, breakout strategy has very good accuracy.

There are two candles in the inside candle, the mother candle, and the baby candle.

He trades the breakout of the high/low of the baby candle with the opposite level as a stop loss.

When to pyramid the trade if it goes right?

The next level to add more quantity is the mother candle's high or low, depending on a breakout or breakdown.

The stop loss will remain the baby candle low during a breakout and vice versa during a breakdown.

2/— Big Gap up

If the market is bullish, next day if it opens a big gap up then the buyers are already in profit.

Most traders don't want to see their MTM reduced in such times.

Wait for the first red candle and short the first 5 min red candle with a day high stop.

The R:R is too good in such setups.

There are multiple videos of him catching the day high with this setup.

Everyone's looking for selling puts and he makes money selling calls.
ALL , CATEGORY
Aditya Todmal
Aditya Todmal
@AdityaTodmal
Want to master Option Selling for free?

Here are the best resources.

A thread 🧵👇

Collaborated with @niki_poojary

1. Best book of knowledge for a beginner?

Zerodha Varsity from @Nithin0dha's team is the best book for a newcomer to read and increase his basic knowledge about options, especially for the Indian markets.

Link:

2. Best Youtube channel on Options Trading?

The @tastytrade financial network. It's a foreign channel that focuses mostly on selling options.

They teach all strategies for free with their backtests.

Big on Straddle/Strangles selling.

Links:

3. Top Indian YouTube Channel for Options?

Power of Stocks - Subhasish Pani

What you'll learn:
1. How to form a trading plan.
2. How to scale an account with risk-reward in option selling.
3. Technical analysis logics you can use daily.

15


4. What are the preconditions to start option Selling:

You should know technical Analysis basics like:
- Support/Resistance
- Chart Patterns
- Candle Patterns
- Dow Theory (HH, LL)

This will help you start taking high-probability trades.
TRADING
Aditya Todmal
Aditya Todmal
@AdityaTodmal
Saving money on Taxes is a superpower.

Learn it and you can make money faster than ever.

Use these 3 Threads to master Saving Taxes in the next 5 min:

Collaborated with @niki_poojary:

First of all, you need to open a company account if you want to save the highest


1) If you are earning more than 50 lakhs, study this thread.

Listed out the benefits of trading in a corporate


2) How can Individuals save on taxes.

(@niki_poojary


3) How do fund managers and traders save on
TAXES

More from Optionslearnings

Professor
Professor
@DillikiBiili
Here comes the 3rd and final part of the long weekend 'Beginners' Pathway" series.

In this we'll see Open Interest basics and Option Chain Analysis.

There are two types of Options, Call Option & Put Option.


This graphics show when to buy and when to sell options.


The first thing that we need to know is the moneyness i.e. whether an Option is At the money (ATM), In the money (ITM) or Out of the Money (OTM).

The strike closest to the market price is At The Money.

I have tried to explain OTM & ITM in a very simplistic & easy manner.


Option chain of Nifty can be seen here
OPTIONSLEARNINGS , OI
Aditya Todmal
Aditya Todmal
@AdityaTodmal
12 TRADING SETUPS used by professional traders:🧵

Collaborated with @niki_poojary

Here's what you'll learn in this thread:

1. Capture Overnight Theta Decay
2. Trading Opening Range Breakouts
3. Reversal Trading Setups
4. Selling strangles and straddles in Bank Nifty
6. NR4 + IB
7. NR 21-Vwap Strategy

Let's dive in ↓

1/ STBT option Selling (Positional Setup):

The setup uses price action to sell options for overnight theta decay.

Check Bank Nifty at 3:15 everyday.

Sell directional credit spreads with capped


@jigspatel1988 2/ Selling Strangles in Bank Nifty based on Open Interest Data

Don't trade till 9:45 Am.

Identify the highest OI on puts and calls.

Check combined premium and put a stop on individual


@jigspatel1988 3/ Open Drive (Intraday)

This is an opening range breakout setup with a few conditions.

To be used when the market opens above yesterday's day high

or Below yesterday's day's
OPTIONSLEARNINGS , TRADING , ALL
Advertisement
Aditya Todmal
Aditya Todmal
@AdityaTodmal
Detailed thread on how @niki_poojary & I managed our positions on Thursday and got a big profit via straddles.

Many people were asking us in the comments, how we managed.

Explained transparently what we did.

Hope you get something to learn from this. 😀👍
OPTIONSLEARNINGS
Sarang Sood
Sarang Sood
@SarangSood
Q: Sir why call option premiums are higher the put?

A: It usually happens when there is big difference between spot & future.

Example

BN Spot: 35110
BN Future: 35300
BN Synthetic Future: 35150

It depends on our perception of what is ATM & accordingly match the calls & puts.
OPTIONSLEARNINGS
itrade(DJ)
itrade(DJ)
@ITRADE191
Today trade
OPTIONSLEARNINGS

You May Also Like

Simon DeDeo
Simon DeDeo
@SimonDeDeo
One thing that goes unremarked about Wikipedia: the vast majority of the content was written over 12 years ago—which means (given turnover) that the editors dominant today were not directly involved in that creation.

Put another way, the editors who built the dominant nodes in this network...


...have little overlap with the ones who made this much more recent managerial flowchart.


Internet time runs at hundred-fold speed—the difference between the people who painted what's in the Uffizi, and the people in charge of keeping those paintings from deteriorating. Very different tasks, and (one presumes) very personalities as well. @PaulSkallas?
ALL
Andrew Chen
Andrew Chen
@andrewchen
1/ new essay: What's next for marketplace startups? Reinventing the $10 trillion service economy, that's what. Co-authored with @ljin18 https://t.co/fgKbrHTnH5. A short thread 👇

2/ Marketplace startups have done incredibly well over the first few decades of the internet, reinventing the way we shop for goods, but have been less successful services. It's bc services are complex, subjective, fragmented, and often in real life. Makes it hard

3/ There's been 4 major eras at making the service economy work online. The Listings Era, the unbundled Craiglist era, the Uber for X era, and the Managed Marketplace era


4/ Each era has added more value than the last, and utilized technology innovations, from internet to social / "read/write web" to mobile. The "Unbundling Craigslist" era was particularly epic at generating startup ideas


5/ The problem is, all the low-hanging fruit has been picked off. The techniques that got us to here won't get us to the next phase. So we have to do some pretty different things. That's why "Managed Marketplaces" have been a big deal - hire folks as W-2s, certify quality, etc.
STARTUPS
Advertisement
\u0100yudhika
Āyudhika
@Satyamev1310
Dr. Anandibai Joshi

Upon her birth on 31 March 1865 she was named Yamuna, after the holy river. Her parents Gunputrao Amritaswar Joshee & Gungabai Joshee came from a long lineage of wealthy landlord family in Kalyan of Bombay Presidency, whose wealth was now waning.


Anandi was the sixth of 10 children, & had 4 brothers (only two of which survived) & five sisters. Her father was particularly fond of her, as she was a bright child with an inquisitive mind. Being an educated man himself, Ganpatrao assured that his daughter was taught Marathi.

As was common practice she was married at a tender age of 9, to Gopalrao Joshi, a 29 year old widower who worked as a postal clerk in the same city. After marriage her husband named her ‘Anandibai’ (which means ‘Joy of my heart’).

Gopalrao was man ahead of his times with reformist ideas & had married Anandibai on the condition that he would be allowed to educate his wife.

He even tried to enroll Anandi in a missionary school, but did not succeed. Despite being the supportive husband, Gopalrao had his flaws.

He was a strict teacher & would sometimes resort to beating if Anandi slacked in her studies.
ALL
Noah Smith
Noah Smith
@Noahpinion
1/OK, I should really write another thread about university-centric regional development, because I think people often make some (very understandable) mistakes when thinking about this issue.

2/The biggest myth, I think, is that universities help regions by educating locals as undergraduates.

Skeptics of universities say: "But most of the people who graduate end up leaving."

3/In fact, most of what a university does for a regional economy is NOT about educating local kids.

Educating local kids is good for the nation, but doesn't help a region much.

The way a university helps a region is through

4/Undergraduates usually leave town after graduation.

But university RESEARCH pulls in OTHER smart people from other regions, and they stay there.

Here's a paper showing that this is the main way universities increase a region's human capital:

5/Research also pulls in business investment.

Companies want to partner with university labs, so they can commercialize the technologies the labs produce. So they invest in the labs, and sometimes they even put their offices in the town.
SOCIETY
Roger Grosse
Roger Grosse
@RogerGrosse
Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ


The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.
MACHINE LEARNING