- Search Forex Factory
- 1,252 Results (9 Threads , 1,243 Replies )
- PipMeUp replied Dec 22, 2021
I see your graph as a noisy image in parameter space. Running a low pass filter (blur) on it was my first idea. I took your data and applied a 5x5 uniform kernel on it (a 2D SMA). You can see that the lucky peak gets averaged out. Then I spotted (in ...
Finding The Most Robust Parameters Using Optimization
- PipMeUp replied Jun 10, 2020
Checking the source and reproducing the expirement is a very good attitude but the article was written by a forum member like you and me not the broker. The article never says that the synthetic data was generated from a uniform distribution. It ...
Deep learning prediction with DeepMind's Wavenet architecture
- PipMeUp replied Jun 7, 2020
Perhaps you should start now, in parallel. I can see some reasons for this. The first one is to avoid taking the problem by the wrong end. I mean you will end up with a NN which will provide some prediction. In the end of the day, that's just an ...
Deep learning prediction with DeepMind's Wavenet architecture
- PipMeUp replied Mar 4, 2020
This is not a trend. It is a fluke. A trend exists when there is a tendency (hence the name) to "push" the walk in a preferred direction. Nothing forces the roulette to choose red. => A long series of red at a roulette table is a spurious trend ...
Probabilities in a Random Walk (Question about one CP's post)
- PipMeUp replied Mar 2, 2020
What follows any point on a random walk is just a random path which may equally be up or down. Spurious trend is to trend what fool's gold is to precious metals.
Probabilities in a Random Walk (Question about one CP's post)
- PipMeUp replied Feb 28, 2020
The post quoted by Craig is indeed wrong. A process can be non-random (=deterministic) and predictable: The position of a train running constant speed on the rail road. A process can be deterministic and unpredictable: The Lorenz system of equation ...
Probabilities in a Random Walk (Question about one CP's post)
- PipMeUp replied Dec 6, 2019
If you draw samples from a normal distribution, that never changes over time, how many samples do you think you would need to estimate within ±1% error margin the mean of this distribution?
Curve fitting vs optimization
- PipMeUp replied Dec 6, 2019
Ok you throw it away but after? You will search for another and another and yet another until you find one that works on both periods. Build 10000 of totally random systems. Discard all those that don't perform well over 2000-2014. How many of the ...
Curve fitting vs optimization
- PipMeUp replied Dec 6, 2019
There is confusion with many terms like random = unpredictible or predictive = acurate. An example: EUR/USD will close the week between 1.0000 and 1.3000. This is a prediction and I'm extremely confident it is correct => my model is actually ...
Curve fitting vs optimization
- PipMeUp replied Dec 12, 2018
I'm not sure that the volatilities are very different. I think the larger fan out is an effect of scaling the chart vertically. What I see is that E/U and G/A charts are looking alike. When you long one you short the other?
Simple Mean Reversion
- PipMeUp replied Dec 12, 2018
Don't worry AO I perfectly understood where you were getting at ;-) When I realized the length of this coastline path was so long compared to the bird flight straight line I said to myself: "Oh F*** I want to be a market maker". But your question ...
Simple Mean Reversion
- PipMeUp replied Dec 11, 2018
I was puzzled by the question so I took my ticks database for EUR/USD. I measured the path length (sum of absolute tick returns) over all periods of 24 hours starting at every hour. It isn't really a range vs trend classification but the bigger the ...
Simple Mean Reversion
- PipMeUp replied Oct 12, 2018
Since all of your "e-learning courses" are $199.99 / $10 each may you please post your scam in the commercial section? (Seriously 10 bucks to show how to implement a simple K-mean with R!!) Either you share OR you sell!
Learn Computer and Data Science with Algorithmic Trading
- PipMeUp replied Oct 9, 2018
Hi Jason, Can you explain why/how the open and close orders have much more positive than negative slippage? I would expect the slippage for at-market orders to be evenly distributed.
Trading Myths and Some Forex Math
- PipMeUp replied Sep 23, 2018
I looked at the code of the strategies. They are all built on the exact same skeleton. One entry trick. On exit trick. One position at a time. Same lot size. Fixed trailing stop. There is no way the generating process comes up with a solution that ...
Systematic Portfolio Diversification - Data Mining Concept
- PipMeUp replied Sep 20, 2018
When an animal is too colorful is it often poisonous. When the package is too colorful is it often marketing :-) Would you really eat those pastel colored spaghetti? Can I really trust this Monte Carlo thingy? Let's have some fun. Here is a bunch or ...
Systematic Portfolio Diversification - Data Mining Concept
- PipMeUp replied Sep 14, 2018
I once tried to set a screw with my hammer. I failed. Hammers don't work. A friend of mine told me to use a screwdriver instead. Man, you can't even put a simple nail with that! Screwdrivers are even worse crap. And please don't tell me about this ...
Systematic Portfolio Diversification - Data Mining Concept
- PipMeUp replied Sep 14, 2018
I could never figure out what people mean by "profitability of an indicator", unless you sell it of course. An indicator is a filter that magnifies some feature of the price action. It isn't its job to tell you when to buy, when to sell, how much ...
How to quantify the ideal timeframe
- PipMeUp replied Sep 13, 2018
The correlation also depends on the sampling frequency: url
Systematic Portfolio Diversification - Data Mining Concept