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Neural Bar Predictor
The Neural Bar Predictor is a fully automated multisymbol advisor which is based on a popular variant of the recurrent neural network. You can start the advisor in one chart and it will scan trading signals from several timeframes of major symbols.
The advisor opens an average of 10 trades per week. Check below a picture with monthly numbers of trades for 2011-2021.
If your symbols have a suffix (ex: EURUSD_i), you should set the value of Suffix accordingly. Otherwise the advisor will not work.
The Neural Bar Predictor trades simultaneously 5 timeframes of several symbols. Your timeframe does not matter, it has no impact on the advisor.
Start the advisor in one chart of a major symbol like EURUSD, GBPUSD, USDJPY or some others. Major symbols get more ticks and the advisor is executed more frequently. Regardless of the symbol of your current chart, the advisor trades all symbols from one chart.
Machine learning occupies a solid niche in the area of currency speculations. The Neural Bar Predictor implements a set of recurrent neural networks. Machine learning was aimed at forecasting minimum and maximum moves in different timeframes.
Properties of the Advisor
Fontsize - set a smaller value if the textual strings get off the advisor panel.
Suffix - set your suffix according to the symbols in your terminal. Example: suffix _i for EURUSD_i. Leave empty for no suffix.
Stoploss - stoploss for symbols.
Volume - volume for one trade. Set a fixed value (ex: 0.01) or a percentage of equity (ex: 0.02%). The advisor prints the actual value of volume in the "Experts" tab upon start or restart. Always use a fixed value for cent accounts or accounts denominated in bitcoins, roubles, yuans etc (that is, not in USD).
2. New weights.
3. I changed market entry: a trade is opened at any time after a signal is confirmed.
4. I changed trailing: it is a pips-by-pips trail.
5. I corrected the version string in the visual interface of the advisor.
2. Accuracy of training now includes both check of bars and check of profit and drawdown of trades.
3. So it is new weights after an improved training.
4. I added swaps to calculate compensation of negative trades.