Some thoughts on tick data for long to medium-timeframe trading

1/n

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.

A thread on Pyramiding-

What is pyramiding?

In pyramiding we add on to a position when it is going in our direction. Its basically opposite of averaging down.

MOMENTUM - Success of a pyramiding trade depend on this ingredient, the more the momentum the better pyramiding.

There are many way to enter and exit in a stock-

1. ALL IN - ALL OUT
2. ALL IN - SCALE OUT
3. SCALE IN - SCALE OUT
4. SCALE IN - ALL OUT ( I use this one)

Why traders use Pyramiding ?

More than anything what pyramiding do is keep your losers small and your winners - Big.

Pyramiding in my view keeps your dd smaller as your losers are very small because you enters with only a fraction of what you would have entered Normally.

BUT, not necessarily it should be more profitable than ALL IN- ALL OUT, Where one enters all at once and sell all at once.

HOW TO DO PYRAMIDING-

There are various methods which are used by traders for pyramiding ,while keeping the basic concept of adding onto the strength.

1. PYRAMIDING AND TRAILING BASED UPON STRUCTURE-

In this method we scale in or pyramid the qty when the stock breaks above

@javia_savan You answered it yourself 🙂
Adjustment cost is way too high for bnf. Sometimes bnf does exceed nifty in vol crush, but nifty overall is more consistent.

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.