Fisher EA utilizes Average True Range calculations with configurable fast and slow multipliers to identify trade entries and manage exits. The robot handles risk through a percentage-based budget per trade, a fixed risk-reward ratio, and a global limit on the number of open positions. While the documentation emphasizes trading discipline and mindset, the underlying logic focuses on capturing price movements using volatility-based triggers and trend filters.
Volatility-based entries using fast and slow ATR multipliers
Percentage-based risk management budget per trade
Automated exit logic based on risk-reward ratios
Configurable maximum total concurrent open positions
Read from FisherEA.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
MaxLots
double
0.14
每手倉位上限
TxBudget
double
0.1
每手風險百分比 3% ~ 7%
SL
double
42
停損基準(?
RR
double
2.5
風報比(綠球)
MaxSLMultiple
double
-3
停損比(黑球)
MaxTPMultiple
double
11
停利比(金球)
FindEntryPeriod
int
10
搜尋進場點位範圍
TrendPeriod
int
50
指數統計週期
AtrSlwM
double
2.8
?
AtrFstM
double
2.35
快線 ATR 比
MaxTotalTicket
int
20
最大在場持倉數
ATRTimeframe
int
PERIOD_M15
ATR 計算區間 (1,5,15,30,60,240)
Show all 16 inputs
Name
Type
Default
Description
TriggerBP
int
1
買點參數 > 0
TriggerSP
int
-1
賣點參數 < 0
TriggerATR
double
8
ATR 觸發交易基準
vSlippage
int
5
?
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone jyyan/Fisher-EA-MQL4 from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
3Copy the filesCopy the .mq4 file into Experts.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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