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This MetaTrader 4 expert advisor focuses on Gold trading using institutional pivot point levels and fractal-based support and resistance zones. The robot filters entries through a combination of RSI, MACD, and moving average alignment, supplemented by a trade quality scoring system. It includes comprehensive risk contr
Trading robot · MT4
Kobayashi Stochastic Cross
This MetaTrader 4 expert advisor executes trades based on multiple stochastic oscillator crossovers.
GitHub stars1
Forks0
Last update9 years ago27 Jun 2017
LicenceNone stated
Overview
The strategy employs several sets of stochastic indicators with unique period settings, categorized into white, pink, and green groups, to identify potential entry signals. Risk management is handled through fixed stop loss and take profit parameters, along with a limit on the total number of open positions. The robot also includes a time filter to restrict trading to specific hours and an optional daily close feature to exit all positions at a designated time.
- Multiple stochastic oscillator layers
- Time-restricted trading hours
- Maximum concurrent position limit
- Automatic daily position closure
- Adjustable stop loss and take profit levels
Details
Author
KotaroHashimoto on GitHub
Type
Trading robot
Platform
MetaTrader 4 (MQL4)
Strategy
Indicator crossover, Mean reversion
Markets
Any symbol
Timeframes
Any timeframe
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
EA files
Input parameters
Read from Stochastic_Cross_EA.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Magic_Number | int | 1 | |
Entry_Lot | double | 0.1 | |
Max_Positions | int | 3 | |
Stop_Loss | double | 20 | |
Take_Profit | double | 20 | |
Daily_Close | bool | False | |
Close_Hour | int | 4 | |
Open_Hour | int | 8 | |
Normal_KPeriod | int | 89 | |
Normal_DPeriod | int | 21 | |
Normal_Slowing | int | 10 | |
Normal_MA_Method | int | 3 | Normal SMA 0, EMA 1, SMMA 2, LWMA 3 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Normal_PriceField | int | 1 | Normal Low/High 0, Close/Close 1 |
Normal_Disable_Range_Bottom | int | 100 | |
Normal_Disable_Range_Upper | int | 0 | |
Normal_Buy_Line | int | 10 | |
Normal_Sell_Line | int | 90 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal White Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_White_K_period | int | 89 | |
Normal_White_D_period | int | 6 | |
Normal_White_S_period | int | 5 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal Pink1 Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_Pink1_K_period | int | 89 | |
Normal_Pink1_D_period | int | 13 | |
Normal_Pink1_S_period | int | 6 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal Pink2 Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_Pink2_K_period | int | 89 | |
Normal_Pink2_D_period | int | 21 | |
Normal_Pink2_S_period | int | 7 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal Pink3 Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_Pink3_K_period | int | 89 | |
Normal_Pink3_D_period | int | 34 | |
Normal_Pink3_S_period | int | 8 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal Green1 Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_Green1_K_period | int | 89 | |
Normal_Green1_D_period | int | 55 | |
Normal_Green1_S_period | int | 9 | |
IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII | string | >>> Normal Green2 Stochastic Settings >>>>>>>>>>>>>>> | |
Normal_Green2_K_period | int | 89 | |
Normal_Green2_D_period | int | 89 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone KotaroHashimoto/kobayashi 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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