Thank you, for all the wonderful people who took time to register your interest and comment on the form.

So, here's what I have thought about so far, with respect to the course.

1. 80% practical coding practice, with clear outcomes, assignments, and small projects, every week.
2. Working with financial and time-series data in some form from the very first day's assignment itself.

3. Developing algorithmic thinking from the standpoint of being able to write logic in English and then code.

4. Developing a mindset for backtesting and ideation approach.
5. A compound assignment like a mini-project every week. A compound project every 4 weeks, and one big project for the course completion.

6. Daily coding practice being built into the way the course will be structured - for you to build the habit of reading & writing code.
7. You should be able to use stackoverflow very well by the end of the course.

8. With whatever you learn from the course, you'll be able to pick up skills relevant to develop web applications, write web services, create bots, script automation, etc.
9. By the end of the course, you'll also have a framework and relevant Python skills to directly pick up data engineering and data science related skills by studying the relevant libraries.

10. Most importantly, you can avoid backtesting platforms and do backtests yourself.
11) You will be able to backtest

- different option strategies
- index trading strategies using futures
- directional, non directional strategies
- price based strategies
- TA indicators based strategies

12) You will be able to create your own indicators too.
13) You will have all the skills and knowledge required to automate any 100% mechanical strategy with your respective broker's API.

14) As a side-effect, you'll also be able to work with excel better than before.
15) You will also learn different money management methods that you can objectively test during your backtesting to implement in your live trading.

These are the outcomes I am aiming for, given what I have heard from everyone.
Do you have any pain points these 15 won't cover?

If you have any, please do comment below - and I'll improve upon the course content and structure plan accordingly.

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More from @theBuoyantMan

24 Nov
Here's how writing can be leveraged to build an audience online:

1) Write a long form essay, publish it in your blog.
2) Convert that to a Youtube video series, as a talking head video or an illustrated presentation
3) Convert all the filmed videos to audio, publish as podcast.
4) Get the highlights from the essay, publish as tweets.
5) Create quotes in the form of illustrations/images, publish on Instagram and Facebook.
6) Extract highlights of the video series, publish on TikTok.
7) Extract those highlights as audio, and publish as byte-sized podcast.
8) Publish the long-form essay as downloadable PDF/ePub in exchange for people's email. Build your email List.
9) Publish independent sections of the essay as tweetstorms/threads.
10) Publish these threads as short essays on medium and other distribution platforms.
Read 6 tweets
23 Nov
Option selling is a game for larger players (probably those with at least 1-2cr in capital).

As a bare minimum, I suggest at least 50L in capital before you start thinking about option selling as a strategy to make money.
Intraday option selling and swing - both have their drawbacks, and both have potential to wipe you out.

Intraday - violent swings can move through your SL without executing.

Swing trades - gap up/down opens against you could lead to margin call.
While I'm oversimplifying the cases, it's very important to know where the landmines are so that you can avoid them.

If you don't even know where the landmines are and you're walking a field full of them, even if you're lucky 10 times, the 11th time you step on one, you die.
Read 6 tweets
22 Nov
If you're under 25 years of age,

and you have just begun trading in the financial markets

1) Don't take money to trade from your parents or family members.
2) Don't even think about option selling if your capital is less than 50L.
3) Trade only your money (not even friends')
4) Trade only the portion of your money that, if you got wiped out, wouldn't faze you. This means, don't use all the money you got as capital.
5) Don't start with intraday. Don't even start with trading. Start with sim/demo (ex: IBKR)
6) Don't confuse favorable markets (since 2017-18) for your own genius or having "figured it out".
7) Don't over leverage. If you can't generate decent returns un levered, your strategies are shit anyway.
8) Don't look at derivatives unless you have traded cash stocks.
Read 4 tweets
22 Nov
Today more so than ever, people migrate regularly. You never know where you end up settling after 35-45.

My parents bought a 1BHK (525sqft) home at Arun Excello Temple Green for 18L. Now we can't even sell that for 15L. Coz they are selling 2bhk (480sqft) at 12L after 5 years.
So, unless you are able to buy an independent home with land, you're better off not buying an apartment in a society, where you're not going to live forever.

Better to have the freedom to move whenever you want, live on rent, and multiply your capital.
Those who say you can pay the rent as your emi, it's not really straight forward.

Near my place, you get decent 1bhk for 5k-7k rupees.

At that amount, your emi would take forever in loan term to own a decent home today.
Read 9 tweets
19 Nov
So, python + backtrader backtesting course it is.

Here are my thoughts of the ways I could do this.

1st way:

- 12 weeks of course.
- Pre-recorded videos sent each monday with assignments
- On Sunday, 3-4 hour qna session.
- Slack/whatsapp/discord group for clarifying doubts
2nd way:

- 12 weeks of course
- Pre recorded videos sent each day between monday to friday with assignment submission for each day
- A compound assignment covering all topics on saturday
- QNA session on sundays
- Slack/WA/Discord group for clarifying doubts
3rd way:

- 12 weeks of course
- Live classes saturdays/sundays
- QNA session at the end of each class for an hour or two
- Assignments for the entire week
- Slack/WA/Discord group for clarifying doubts
Read 8 tweets
19 Nov
Challenges in manual execution of systems:

My long entry was at 29532 on spot. SL was at 29384.64. If price closed below 29384.64, I'd exit.

At around 10:54:58, the price was around 29381 and I hit exit.

The actual close was 29384.70.
I lost 138 points on Futures, closing looking at the price. I have to click on exit exactly around the 59th second mark for it to execute around or at next candle open.

Price rebounded 150 points from where I exited.

This is the difficult part about manual execution.
These kind of cases happen rarely, but they do happen, and skew the system results. In reality, I should be in the trade now. But I exited with a loss and sitting out.

This was completely my mistake, and was due to being unable to look at the exact closing price and executing.
Read 4 tweets

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