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Northsea EA SETFILES and Information -Trading System -March 17, 20125

North Sia EA

“introduction”North Sia EA“Advanced financial transaction tools designed to strategically trade major currency pairs”Audnzd, AUDCAD and NZDCAD“.

It is driven by cutting -edge smart automatic trading technology. “North Sia EA“Integrate things completely independent Decision -making engine Combine with sophisticated filters to maximize profitability and improve performance.

The expert advisor, developed by a skilled trader and expert coder team for 10 years, uses a customized strategy to analyze and trade the most fluid major currency pairs.

North Sia EA“Using a comprehensive filter set combined with the price movement confirmation, we analyze the full -back and reversal patterns. If the market is against the trend, we start recovery trading strategically.

North Sia EA“Innovative approach to excluded management uses innovative hedging and recovery technology to effectively manage risks and dynamically map the market in real time to determine the optimal timing and deployment in market conditions.

It also features high -quality volatility measurement algorithms that stop transactions until the optimal transaction conditions are returned.

Support:

Please contact me at any time to get help and maps-> contour

Trading 101 and FAQ-> FAQ

General EA setting

symbol slot Many factors Model set
Audnzd M15 1.0 m = 1
AUDCAD M15 1.0 m = 1
nzdcad M15 1.0 m = 1

EA parameters (set using related setfile)

(Strategy setting)

Symbol use: (True/False) Activate or disable the strategy of related symbols.

symbol: Strategic device name without prefix or suffix. Prefix and suffixes are automatic from the chart symbol name.

Time zone: Strategy period (basic M15).

Magic Number: Strategy.

Rot factor: Factors of Lot on each strategy. (Main pair default = 1.0)

Model set: This is the AI ​​model used in the strategy. (Basic pair default = m1).

(Risk setting)

Lot selection type: (Fixed Rot/Lot per Capital) Use this to select the type of lot size.

Fixed Rot size: When the fixed medium size is selected, the fixed rot size for each transaction is set. For example, if you set it to 0.01, it means that each transaction uses 0.01 lot size.

Capital Rot: If the lot selection is a lot per shares, set the 0.01 lot per set per set per set. In other words, if you set it to 3000, the start -rotten is 0.01 for each unit of 3000 default currency.

Maximum live trading symbol: Set the maximum number of individual preferences that can be traded at the same time (default = 5).

(Il Filter)

transaction : (True/false) This allows you to stop trading or activate transactions on certain days of the week (default = true).

(Holiday filter (thin market, high volatility))

Using US Fed Holiday Filter: (True/false) This allows you to stop trading when the US stock market is closed (default = true).

For all of us, a public holiday filter: (True/false) This allows you to stop trading on the Fed Day Veterans and Columbus Day (default = true).

American election week transaction (True/false) This allows you to stop the US election weekly trading (default = true).

Crossing a trading for Christmas / New Year: (True/false) This allows you to stop Christmas and New Year’s deals (default = true).

The day to stop trading in December: “XMAS Trading Skip” is a date that stops new transactions in December (default = 21).

The day of starting a trading in January: If it’s “XMAS Trading Skip”, it is a date to start a new deal in January (default = 21).

(Equity)

Lower %limit: When Dr. Drop reaches the derivation limit of the stock, all transactions are closed..

#Trades> Limet: if #trades> If emengest clop profit bucket: (True/false) Max Open transaction is possible by the total bucket profit (default = true).

Emergency trade limit to close profits: The number of public transactions to enable the total bucket closure process (default = 30).

Emergency nearby bucket profit %: In order to close all open transactions, the percentage of profit and a percentage of all devices/symbols (default = 4.1).

Emergency Restriction #SYMBOLS #TRADES> Limit: (True/false) Max Open Trades Max Max Trading Symbol (Default = True).

Emergency trade limit to limit symbols: The number of public transactions (default = 50) to enable the maximum trading symbol restrictions.

Emergency restriction preference number: If the maximum trade limit occurs, the maximum number of transactions symbols (default = 1).

FAQ

Q. Is the system that uses the grid system as part of the entire operatiopn is dangerous?

A. No, well, ….. sometimes (or most time time), it is different. This is true if the grid recovery system is coded to perform risks and add more transactions, not strictly tested according to decades of market conditions. This is not a good way to approach the problem. However, if the differentiated adverse market is studied and understood, and if you can calculate the best place to place grid transactions with decades of testing, you can run the trading YSTEM as a grid element and actually work well. We have used various types of machine learning techniques to confirm that the system is as powerful.

Q. How many years have the model has been trained for?

A. We have trained hundreds of models over the years, and we have been trained for more than 10 years, but we have recently focused on the market and perform a sample test in an old market to test efficiency.

Q. How often do you train models?

A. Good question. We are always looking for a better model. We will add it to the EA code when we read this (we are always training), when looking for a better performance model.

Q. Why is there a recovery transaction above or below that?

A. Another great question. The answer is generally not solved after the high volatility of the market. This model understands this, locks the deal to protect, and starts the recovery grid when the market is resolved. This means that the grid may be where you can expect. This is normal.

Q. How did you implement ML/AI as MQL4 because most of the features can’t be used?

A. With great difficulty. We had to go back to the statistical analysis process and perform additional coding and storage data. If you do your best in the world, it’s not exactly the same, but it’s as close as we can.

Q. What statistical model did you use?

A. We used a lot of regression to map the range and then ensemble.

Q. Are you going to add more models?

A. Yes, we are currently testing some new symbol models and adding to the current model.

links

Anaconda https://www.anaconda.com/

Tensorflow https://www.tensorflow.org/

PyTorch https://pytorch.org/

Hard https://keras.io/

scikit-learn https://scikit-learn.org/stable/

MQL5 Machine Learning https://www.mql5.com/en/artics/machine_learning

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