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CoinTradefields MT5

0.00

Dear friends, I present to you my TradeFields EA adapted on purpose Cryptocurrency.

This is a multi-currency multi-timeframe EA that uses many strategies with various TA indicators – MovingAverage,
MACD, OsMA, StdDev, Stochastic, CCI, RSI, RVI, ADX, DeMarker, Enveloipes, Force Index, Momentum, SAR, WPR, ZigZag,
Bollinger Bands 
etc… 


For the specifics of cryptocurrencies, the EA includes original methods based on the ideas of Cynthia Case,
an indicator  KPrmSt, and advanced analysis system for CandleSticks Reversal Patterns using Machine
Learning
.


EA contains following input parameters:

This is a multi-currency multi-timeframe EA that uses many strategies with various TA indicators – MovingAverage,
MACD, OsMA, StdDev, Stochastic, CCI, RSI, RVI, ADX, DeMarker, Enveloipes, Force Index, Momentum, SAR, WPR, ZigZag,
Bollinger Bands 
etc… 


For the specifics of cryptocurrencies, the EA includes original methods based on the ideas of Cynthia Case,
an indicator  KPrmSt, and advanced analysis system for CandleSticks Reversal Patterns using Machine
Learning
.

[spoiler title=”Read More…”]

This is a multi-currency multi-timeframe EA that uses many strategies with various TA indicators – MovingAverage,
MACD, OsMA, StdDev, Stochastic, CCI, RSI, RVI, ADX, DeMarker, Enveloipes, Force Index, Momentum, SAR, WPR, ZigZag,
Bollinger Bands 
etc… 

This is a multi-currency multi-timeframe EA that uses many strategies with various TA indicators – MovingAverage,
MACD, OsMA, StdDev, Stochastic, CCI, RSI, RVI, ADX, DeMarker, Enveloipes, Force Index, Momentum, SAR, WPR, ZigZag,
Bollinger Bands 
etc… 


For the specifics of cryptocurrencies, the EA includes original methods based on the ideas of Cynthia Case,
an indicator  KPrmSt, and advanced analysis system for CandleSticks Reversal Patterns using Machine
Learning
.

EA contains following input parameters:

EA contains following input parameters:

  • List of Tradefields (Tradefields) – is trade fields list commas separated, default empty string;
  • Lots Multiplier (MultiLots) – is a multiplication size factor for grid lots, default 1.0;
  • Optimize TakeProfit (TakeProfit) – is orders take profit, default 0;
  • Optimize StopLoss (StopLoss) – is orders stop loss, default 0;
  • Maximum Spread (MaxSpread) – is maximal spread, default 100;
  • Maximum Positions (MaxPositions) – is limit to max positions? default 50;
  • Optimize Indicator (OptiIndicator) – is the index of the indicator used, default 0;
  • Optimize Trading (OptiTrading) – is a complex parameter of trading signals, default 0;
  • Optimize Candlesticks (OptiCandlesticks) – number of candles for self-adaptation, default 0;
  • Optimize at Timeframe (OptiTimeframe) – border timeframe for optimization, default H1;
  • PlayMonday,PlayTuesday,PlayWednesday,PlayThursday,PlayFriday – is time to play on weekdays, default
    “00:00-24:00”;
  • PlaySaturday, PlaySunday – is time to play on weekend, default empty string;
  • List of Tradefields (Tradefields) – is trade fields list commas separated, default empty string;
  • Lots Multiplier (MultiLots) – is a multiplication size factor for grid lots, default 1.0;
  • Optimize TakeProfit (TakeProfit) – is orders take profit, default 0;
  • Optimize StopLoss (StopLoss) – is orders stop loss, default 0;
  • Maximum Spread (MaxSpread) – is maximal spread, default 100;
  • Maximum Positions (MaxPositions) – is limit to max positions? default 50;
  • Optimize Indicator (OptiIndicator) – is the index of the indicator used, default 0;
  • Optimize Trading (OptiTrading) – is a complex parameter of trading signals, default 0;
  • Optimize Candlesticks (OptiCandlesticks) – number of candles for self-adaptation, default 0;
  • Optimize at Timeframe (OptiTimeframe) – border timeframe for optimization, default H1;
  • PlayMonday,PlayTuesday,PlayWednesday,PlayThursday,PlayFriday – is time to play on weekdays, default
    “00:00-24:00”;
  • PlaySaturday, PlaySunday – is time to play on weekend, default empty string;

By default, the List of Tradefields is empty and if you don’t define anything there, trade field
formed automatically on mini-lot with symbol and timeframe which are selected to run the    EA in the Tester or
on the Terminal chart.

You can define trade fields by specifying the size of the lot with the name of the field or symbol and  timeframe colon separated, for
example  0.1:13 or 0.1:ETHUSD:H1, 1.0:21 or 1.0:BTCUSD:H4. In addition to singles (Straight up) can identify group
-is column   0.01:BTCUSD (timeframes by symbol) , street 0.1:M15 (symbols by
timeframe), etc… All work trade field are visualized on Chart (See Screenshot)

To optimize trading you can enable the EA self-adaptation on the number of candles specified in the
parameter   Optimize Candlesticks on any combination of trade pairs and time frames specified in the List
of 
Tradefields.

Consider
the fact that the

EA

uses a neural network and machine learning on historical data, so in training time intervals the trading results can be excessively
good. But this should not be guided by and always check the
EA
for forward trading, because the market is constantly changing and the results may be different.


For independent standard optimization in the Tester you can use five options – MultiLots, with range 0
to 2.0 and step 0.1,    OptiIndicator, with range 0 to 20 and step 1, OptiTrading,
with range 0 to max. integer and step 65636,    StopLoss and TakeProfit in the range
of the desired amount of pips.

By default, the List of Tradefields is empty and if you don’t define anything there, trade field
formed automatically on mini-lot with symbol and timeframe which are selected to run the    EA in the Tester or
on the Terminal chart.

You can define trade fields by specifying the size of the lot with the name of the field or symbol and  timeframe colon separated, for
example  0.1:13 or 0.1:ETHUSD:H1, 1.0:21 or 1.0:BTCUSD:H4. In addition to singles (Straight up) can identify group
-is column   0.01:BTCUSD (timeframes by symbol) , street 0.1:M15 (symbols by
timeframe), etc… All work trade field are visualized on Chart (See Screenshot)

To optimize trading you can enable the EA self-adaptation on the number of candles specified in the
parameter   Optimize Candlesticks on any combination of trade pairs and time frames specified in the List
of 
Tradefields.

Consider
the fact that the

EA

uses a neural network and machine learning on historical data, so in training time intervals the trading results can be excessively
good. But this should not be guided by and always check the
EA
for forward trading, because the market is constantly changing and the results may be different.


For independent standard optimization in the Tester you can use five options – MultiLots, with range 0
to 2.0 and step 0.1,    OptiIndicator, with range 0 to 20 and step 1, OptiTrading,
with range 0 to max. integer and step 65636,    StopLoss and TakeProfit in the range
of the desired amount of pips.

[/spoiler]

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