1) Let's talk about Tesla's China strategy. There's a few questions here - why did the Chinese government actively encourage them to set up in Shanghai? What's in it for Tesla? Why is Tesla continously discounting their cars?

Spoiler alert: $TSLA go brrr

1) Let's talk about the question of 'how should we think about Chinese tech'

What do we talk about when we talk about Chinese tech? Who is 'we' here? How do you pronounce Elema?

I've hit 10k in followers and it's time to earn my stripes as a thinkboi.

2) Chinese tech is a loaded term. The very fact that we have to say 'Chinese' tech rather than tech demotes its otherness.

So what does a place of origin signify? The different market conditions, political context and imo most importantly, the development stage of the country.

3) I think @benedictevans and @ToniCowanBrown's podcast on 'How to think about Chinese tech when you know fa about China' (my title, not theirs), lays some of the groundwork here.

China's different market conditions and political context often means a parallel tech world

4) This means a fundamental rethinking of first principals that's hard to stomach for most Western tech folks
- Copy is not wrong, in fact, it shows you've picked a de-risked business model
- There are no unscalable resources, esp when labour is

5) But I think the most important factor that gets overlooked is that China tech demotes something very particular. It is coming from a developing country. The life stage of a country is different from its cultural context.

What happens when a developing country is innovating?

1) Let's talk about a key part of the Chinese creator economy. The creator management and incubator agencies known as Multi-Channel Networks (MCN). We''ll summerise key lessons for the western creator economy.

And know how Li Ziqi got her 12m YouTube subscribers

2) MCNs are modern-day talent agencies (but more) who target influencers and creators as their clients. It originated in the US but has proliferated in China, with industry estimates of 5k-7k Chinese MCN operating as of 2020.

3) Typically, as creators gain enough following, they find it difficult to be an-all-in-one content creator, editor, customer support rep, accountant, lawyer, and marketing guru that the job demands.

Enter the MCNs who offers the creator the following:

4) Audience and traffic growth, PR management, monetisation through ads & e-commerce and support with retail fulfillment.

Their services are more holistic than western MCNs, who's offerings are more domain-specific.

5) Agreements between Chinese MCNs and creators can get into guarantees of the number of followers provided, copyrights, subtitling and distribution help, as well as providing analytical feedback on their content.

1) Let's talk about social-commerce, limitations of growth for a community and why there is no good Chinese Instagram equivalent.

In modern China, XiaoHungShu aka Little Red Book aka RED is no longer the Mao manifesto, but rather a shopping app.

2) XHS was founded by friends Miranda Qu and Charlwin Mao in 2014. Initially, it was conceived as a travel app, the founders wanted something that let them know what spots were cool and what goods to get when they're abroad

3) For context, I would say shopping abroad has been a major Chinese middle-class hobby due to:
1) Perception that foreign goods are of higher quality
2) Cheaper prices for equivalent goods relative to China as no import tax
3) Verified authenticity

4) XHS tapped into this desire by creating an online community where people can share details of what they brought and where. In elaborate posts with multiple accompanying pictures. Showing off your lavish life while being helpful is fun.

5) After building up a robust and lively community among mostly affluent young women, XHS moved into cross-border commerce in 2015. Now rather than just looking at the pretty items from France, you can buy them.

"By creating the concept that data is a factor of production, China Inc. has formalised and legislated the stance that data itself is valuable rather than the algorithms it helps train.

The Chinese leadership has subtly but deftly implied that data's value to a nation is underpriced and currently subjected to market distortions."

I think China's making money moves in the area of data. Read about it

1) Let's talk about how Alibaba has achieved the holy grail of big data - a holistic view of the consumer - through a plethora of product offerings and investment.

This is their overarching moat. And Amazon's got nothing on them.

2) To the outsider, Alibaba's product range is confusing af. It's all over the place and there seems to be no core competency they are focusing on.

A few divisions - Taobao (B2C marketplace), Tmall (High-end B2C marketplace), Alibaba (B2B marketplace, Cainiu(logistics)..

3) ...Elema (Food delivery), Autonavi (maps), Youku (streaming) and Feizhu(travel booking)

Also the promotional strategy is weird, In the lead-up to singles day, half the time they were promoting some cat rearing in-app mini game.

Wtf?

4) When we view Alibaba's strategy as working to create a full view of a consumer's life, including their preferences, social network and spending capacity (and ability). Then everything starts to make sense.

4) Whether a consumer buys on Tmall or Taobao tells Ali about their preferences and budget, delivery address for packages and food lets Ali know where they live and where they work (also cross-referenced with property data to infer wealth level + occupation).

For fun I made a Robinhood account. It took me 5 minutes to sign up, get approved and transfer funds for trading...

Here's some details... Read on.

...it took me another 5 minutes to get qualified for options.

If I share a sign up I get "free shares" and I can share as much as I want up to 500$ worth.

The main UI has a prepopulated "list" of stocks/crypto to watch and links to news.

Clicking a stock opens a "trade" button that looks like this.

Notice options is first, buy second.

Options took me to an approval process (which took about a minute) and now away I go trading Baba options.

Buying stock looks like this. It emphasizes fractional shares.

Some observations and thoughts on ZILSwap: What went well, its impact on the $ZIL ecosystem and where we need to improve with some concrete plans that are being worked on. A thread:

👇

1/ ZILSwap was launched by @SwitcheoNetwork on Oct 5, 2020 (~2 months old). Soon after, we noticed for the first time, a flurry of ZRC-2 tokens (equiv. of ERC20s on $ZIL) getting launched on the network (even though the fungible token standard had been around for a while).

2/ The ability to provide a marketplace for people to exchange tokens was the trigger for deveopers to start issuing tokens and developing a token economy. In fact, there was a token for which, the entire supply was put on a ZILSwap pool w/o any team withholding.

3/ This was an extreme example of why a DEX was needed and the role it played in bootstrapping several tokens and respective token economies. Over 25 tokens are available on ZILSwap in the form of liquidity pools. The total pool size across all tokens is over USD 1 million.

4/ ZILSwap also made it possible for the first time for anyone to get access to $XSGD (the Singapore Dollar Stablecoin issued by @xfers). In fact $XSGD and $gZIL contribute the greatest proportion of the total pool.

Thread: Parabolic SAR Indicator

Parabolic SAR (PSAR) indicator was developed by J. Welles Wilder.

#PSAR #Indicators #Definedge

The calculation of this indicator is a bit complex, but the concept is extremely useful. I will try to simplify it and explain the logic. I will briefly explain the concept, calculation and reading.

Let us think about creating an indicator that shows the trend.

Using the indicator, we can identify & ride the trend using the trailing stop-loss method.

For trailing the stop in uptrend, indicator needs to be placed below the candle. Similarly, it should be placed above the candle for trailing in a downtrend. We will plot it using ‘dots’.

So, the indicator & stop-loss will be rising in uptrend & falling in downtrend.

Let us define the trend as:

If Low of the candle > Stop-loss level in bull market = Trend remains bullish.

If High of the candle < Stop-loss level in bear market = Trend is bearish

Imagine you are driving a car on highway; you would like to accelerate if the road is clear. You will slow down if the road is bumpy.

Working on some execution optimisation related backtesting. I have so far been executing with market orders only. Going towards higher lot sizes, I'd like to optimise for minimal slippage.

First off, on NSE, if you place a market order, you get filled at the best bid/ask right?

If we want to optimise this, the first non-creative idea one can think of is, slicing the order into different lot sizes, and placing a limit order for each slice at the mid point of current best bid & ask.

But this requires your latency to be the least.

Why would latency affect it?

I looked at tick historical data, and there are more than 18-20 ticks in a second (auction and quote combined).

Even if you keep 10 ticks per second, your best bid/ask can shift from the time you place to the time exchange receives the order.

So, the next best thing that people can do is place tranches of orders every 1s, 3s, 5s, 10s, 15s - in their preferred time range, and get filled at the midpoint or best-bid+1/2/3/4/5 in the depth.

What you need is liquidity.

But if you're trading breakouts, then it's highly likely that your limit orders may not get filled if the action is too fast.

So, a retry mechanism is required in such cases.

If nothing works, you convert your orders to marketable and get filled at worse slippage.

A Thread on~ O V E R T R A D I N G

Sitting and observing the numbers flicker on the screen might be very exciting.

But have you ever felt like you might've done better? Or you're just too tired of waiting that you punch an order right in?

That's a Bad Idea.

So, Let's understand the reasons behind it and try to find a way out.

1. Not having a trading plan makes you clueless.
Your impulses start to take control of you.

2. Having a trading plan; But still taking impulsive/ random trades.
Because of adrenaline rush or gambling instinct.

3. Revenge trading
When you try to force a trade in order to recover from a previous loss.