When Trading Meets DividendWarrior

[sAVaGEmP5]

If you are willing to give someone on the net you never met before 100 million then I am more then happy to take.

i guve u 100 mill to make me 105 mill not give u 100 mill u run away.

waste my time talking to idiot and noobs.

 

[spiritGate]

Just a question, how do u guys check for the dividend rate? Cause I have the intention to buy blue chips for Starhub or Nikko AM Singapore STI ETF, so was wondering what is the dividend rate for these two shares? I am buying it through ocbc.

 

[Knight_Rider]

i guve u 100 mill to make me 105 mill not give u 100 mill u run away.

waste my time talking to idiot and noobs.

What incentives do I get to make money for idiots and noobs like you? Alex already said himself a few post above which I said he make tons in 1 trade.

Why you still die die ask me? Yeah lah why waste time to kill brain cells. Run away with your money easier then maybe you will wake up instead of you day dreaming here.

 

[wahkao3]

well, if the simulation is done using chaos mathematics to replicate the fractal nature of the markets, it would provide a solid foundation for backtesting with some tweaking to test out specific extreme scenarios.

use monte carlo method if this concerns u

 

[CookieMonsta88]

use monte carlo method if this concerns u

But Monte Carlo is gaussian, so its more suitable for portfolio management with rehedging rather than backtesting price action systems, price action systems need mendelbroitian type systems for simulation

The main difference between these 2 systems is 1 assumes the markets are random, the other assumes that the markets looks random because the underlying mechanics of the markets are hidden and therefore the appearance of randomness, and that the state before helps us determine the state after

 

[tiny]

Just a question, how do u guys check for the dividend rate? Cause I have the intention to buy blue chips for Starhub or Nikko AM Singapore STI ETF, so was wondering what is the dividend rate for these two shares? I am buying it through ocbc.

(Total dividends paid per share in a year) divide by (current share price) multiply by (100) = Dividend yield

 

[spiritGate]

(Total dividends paid per share in a year) divide by (current share price) multiply by (100) = Dividend yield

Thanks for the info, but I would like to know where you get the information on total dividends paid per share in a year information

 

[private_invest_sg]

But Monte Carlo is gaussian, so its more suitable for portfolio management with rehedging rather than backtesting price action systems, price action systems need mendelbroitian type systems for simulation

Wow, a quant has joined the conversation!

 

[CookieMonsta88]

Wow, a quant has joined the conversation!

Well, I'm not a quant also, just got skim thru quant stuff before only, sadly, applied for quant position also get rejected coz can't complete the programming test in time

But with each passing day, I'm kinda glad I'm a retail trader though, feel like trading then trade, don't feel like trading can just chillax

 

[private_invest_sg]

Both methods are actually useful depending on the situations, especially if you are testing complex simulations requiring empirical calibration, compared to var, exposure models that would need one to solve for thousands of scenarios.

 

[CookieMonsta88]

Both methods are actually useful depending on the situations, especially if you are testing complex simulations requiring empirical calibration, compared to var, exposure models that would need one to solve for thousands of scenarios.

Well, if u are interested, u can try looking into this idea of the strange attractor in chaos mathematics, it's really interesting, a chaotic system has a strange attractor where states around it is always attracted and inevitably attracted to it, and that may mean, up to a point the markets are random and noisy in the short terms but inevitably goes somewhere in the long term, just like the bull and bear markets, and the strange attractors, its the accumulation and distribution stages, once u can code a system which can identify the price action which identifies and associate with one of these 2 stages, u have a high probability high reward low risk system

 

[private_invest_sg]

u have a high probability high reward low risk system

A low risk, high return system? This phrase is going to pick up the attention of someone here.

Will read up on it, thanks. You interested to meet up for a chat on this stuff?

 

[CookieMonsta88]

A low risk, high return system? This phrase is going to pick up the attention of someone here.

Will read up on it, thanks. You interested to meet up for a chat on this stuff?

Er, well its just really as good as saying buy the market crash and sell the market tops, what I say has no value till it can be quantified in terms of quantitative methods. But professional traders have a sense of when the markets are overextended from their years of experience, and its sort of their intuition, so its hard for them to quantify it out.

An example is reits, overly speculated, so depends on macro policy lor like population white paper to get more pple to stimulate demand and make it oversold compared to future demands and people are more willing to buy, or see who starts to fear first and get the ball rolling and make the markets come crashing down, at the top are now the weak holders, its just to see if the strong holders willing to support or not

The idea to make an ai trade this is easy and anyone can think of, but the execution to develop the ai itself is non trivial and probably worth a few PhD thesis itself in a few areas of studies

 

[wahkao3]

A low risk, high return system? This phrase is going to pick up the attention of someone here.

Will read up on it, thanks. You interested to meet up for a chat on this stuff?

i go high when i hear LOW RISK,HIGH RETURN!!!!!

 

[diediex]

Aka dancing with the chaotic market.

If there is really a method to decipher short term market randomness, it will be probably Nobel prize worthy.

Otherwise it's just gambling. Throw in whatever money management theory, RRR, stop loss, technical/fundamentalism, trend trade, reverse trade, demand/supply/support, breaking point.. blah blah blah...yadayada.. and you got a beautiful gambling term called "trading"

 

[CookieMonsta88]

Aka dancing with the chaotic market.

If there is really a method to decipher short term market randomness, it will be probably Nobel prize worthy.

Otherwise it's just gambling. Throw in whatever money management theory, RRR, stop loss, technical/fundamentalism, trend trade, reverse trade, demand/supply/support, breaking point.. blah blah blah...yadayada.. and you got a beautiful gambling term called "trading"

U won't be able to decipher all short term price action, until the intentions of the participants become clear, but price actions setups like stop hunts, these can be deciphered after the fact and still yield u an edge to go with the trend. Technical analysis was never predictive, and never looked to be predicative, it just tells u what state the market is in right now

But there is a simple fact, big funds buy or sell for profits, know how they trade and u will profit with them, this one u don't need a Nobel prize to know, many professionals know this, but they won't tell u and give u their edge in trading

But the ultimate skill in trading is not picking winners, its how u manage the trade out of various market conditions and possibly manage a losing trade to become a winner, through a variety of methods and instruments like details hedging and such

 

[diediex]

Given the benefit of doubt that such myth is true, I hereby wish that you will can become one of the "professionals".

Else, it's nothing but gambling. Good luck!

Edit: tsk, you changed/edited your post. To quote you latest, "Trade out of various market conditions". There you go, good luck dancing with the market!

p/s IMO, "Hedging", "managing the trade" are all part of the blah blah yadayada

 

[CookieMonsta88]

Given the benefit of doubt that such myth is true, I hereby wish that you will can become one of the "professionals".

Else, it's nothing but gambling. Good luck!

Well, thx then I guess, coz there are ways to trade markets without risk like arbitrage, except it's just see who has the faster algo, and the lowest latency and who is nearest the exchange only

 

[diediex]

Well, thx then I guess, coz there are ways to trade markets without risk like arbitrage, except it's just see who has the faster algo, and the lowest latency and who is nearest the exchange only

Yes, which is probably why retail traders are always at the most disadvantage. It's virtually impossible to trade in whip saw market condition, aka dancing gracefully in arbitrage.

 

[CookieMonsta88]

Yes, which is probably why retail traders are always at the most disadvantage. It's virtually impossible to trade in whip saw market condition, aka dancing gracefully in arbitrage.

Er trading in a whipsaw is not arbitrage, arbitrage is when u lock in a riskless profit, say 2 exchanges are quoting different prices for the same security, and u are locking in the difference as ur profit.

Trading a whipsaw is trading a whipsaw, and most people lose money in a whipsaw coz they flip too many times till they lose all their money, these kind of markets already clearly tell u pls do not approach, u still approach its gambling what, casino open business means u must go and gamble meh? What I will do in a whipsaw market is buy a protective put and then wait for the markets to calm down, then average the position while keeping the put ratio 2 to 1 to spot so jta a long straddle and then if possible sell 1 put 1 call and become a box spread and just let it expire worthless, and wait for the markets to calm down and exhibit a price action I know and can trade.

Sometimes not having a position is a good position also