Multi timeframe, what do you think? - page 6

 
Conor Mcnamara #:

You may be a fan of parabolic channels, but in my opinion saying a fixed period on X timeframe is unstable is not really true depending on the trading system. If you would trade based on the direction of the moving average then yes - inefficient. But a market crossover of a longer period MA is an efficient trading system even on the M1 timeframe. It's even more efficient if pending orders are used close to the MA line instead of market orders.


The Market crossing a 200 day MA is going to give a clear signal of a breakout or pullback.


Congratulations! You have found your trading system, which can be coded in 30 minutes.
Goodbye lack of money and hello wealth!
 
Nikolai Semko #:
Congratulations! You have found your trading system, which can be coded in 30 minutes.
Goodbye lack of money and hello wealth!

Haha not my trading system. Just an example of why a fixed period is not evil at all. Sometimes simplicity works greatly even when something only takes 10 - 30 minutes to code

There is no translation to profitability of a system and the time it took to build said system.

Controlling risk in automation is going to take time (if someone is building the system from scratch), but manually - there is no code needed, a manual trader is controlling risk with his brain

 
Conor Mcnamara #:

Haha not my trading system. Just an example of why a fixed period is not evil at all. Sometimes simplicity works greatly even when something only takes 10 - 30 minutes to code

There is no translation to profitability of a system and the time it took to build said system.

Controlling risk in automation is going to take time (if someone is building the system from scratch), but manually - there is no code needed, a manual trader is controlling risk with his brain

Do you really believe this? 
A trading system that took 30 minutes to develop, or even several months, can only work effectively on historical data.
 
Good morning
hey guys you are off topic
 
Nikolai Semko #:
Do you really believe this? 
A trading system that took 30 minutes to develop, or even several months, can only work effectively on historical data.

Let's say there is someone who started trading two weeks ago - they go to freelance with their unpremeditated idea for a profitable trading system - the developer completes his request in 30 minutes. That trading system is more than likely not profitable whatsoever with plenty of inadequacies, but the code was 100% accurate for the customers request. Then let's say there is someone trading for 10 years - they also have a request which only took 30 minutes to build. The concept is simple and proven to be profitable. That trading system more than likely is profitable and works when it is in the hands of someone experienced. Forbes magazine featured a trader by the name of Kristjan Kullamägi who is a seasoned trader and is regarded as one of the top 5 traders in the world. He has a 30% win rate. How he made so much profit from trading was entirely down to controlling risk.

 
Gerard Willia G J B M Dinh Sy #:
Good morning
hey guys you are off topic
I disagree. Everything is on topic.
 
Nikolai Semko # :
I disagree. Everything is on topic.

The point is what you think about TFs, not how you process them in 30 minutes or months and on what type of data.

 
Gerard Willia G J B M Dinh Sy #:

The point is what you think about TFs, not how you process them in 30 minutes or months and on what type of data.

Okay, I'm disappearing.
 
Gamuchirai Zororo Ndawana # :
Honestly guys, I've trained and compared 2 AI models to predict the future price of an asset. 

One AI only had access to ordinary OHLC data and the other had access to changes in price levels across 5 higher time frames. The AI models  performed almost the same.

Good morning
I just read your very good article.

Reimagining Classic Strategies (Part IX): Multiple Time Frame Analysis (II) - MQL5 Articles

Not bad for someone who doesn't believe in multi timeframe :-)

Your article confirms what I thought.
There are indeed "Master" timeframes, the others being "slaves"


Reimagining Classic Strategies (Part IX): Multiple Time Frame Analysis (II)
Reimagining Classic Strategies (Part IX): Multiple Time Frame Analysis (II)
  • www.mql5.com
In today's discussion, we examine the strategy of multiple time-frame analysis to learn on which time frame our AI model performs best. Our analysis leads us to conclude that the Monthly and Hourly time-frames produce models with relatively low error rates on the EURUSD pair. We used this to our advantage and created a trading algorithm that makes AI predictions on the Monthly time frame, and executes its trades on the Hourly time frame.