KolaTradebot is a MetaTrader 5 expert advisor that executes a multi-asset strategy using Smart Money Concepts and a Global Order Model. It bridges the platform with a Python-based server to analyze market structures like order blocks, fair value gaps, and liquidity sweeps across multiple timeframes. The system includes
Collection · MT5
Joseph Akaro Mql5 Trading Bots
This collection of MetaTrader 5 expert advisors provides experimental trading strategies focused on session breakouts and Smart Money Concepts.
GitHub stars1
Forks0
Last update11 months ago11 Oct 2025
LicenceNone stated
Overview
The primary robot monitors the opening ranges of the London and New York sessions on the M5 timeframe to identify entry signals. It incorporates several risk management tools, including daily loss and profit percentage caps, a maximum trade limit per day, and a time-based forced exit. Trade exits are managed using fixed risk-to-reward ratios and a trailing stop that activates based on floating profit.
- Session-based opening range breakout logic
- Daily profit and loss percentage safeguards
- Trailing stop based on floating profit percentage
- Automatic trade closure at specified times
Details
Author
joseph-akaro on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Breakout, SMC / ICT / price action
Markets
Forex, Indices, Gold
Timeframes
M1-M5, M15-H1
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 BreakOut.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Timeframe | ENUM_TIMEFRAMES | PERIOD_M5 | Timeframe for all logic |
LondonStartTime | string | 03:00 | London Start Time (Broker Server Time) |
LondonEndTime | string | 08:00 | London End Time (Broker Server Time) |
NYStartHour_Local | int | 9 | New York Session Start Hour (NY Local Time) |
NYStartMinute_Local | int | 30 | New York Session Start Minute (NY Local Time) |
NYEndHour_Local | int | 17 | New York Session End Hour (NY Local Time) |
NYEndMinute_Local | int | 0 | New York Session End Minute (NY Local Time) |
NY_UTC_Offset | int | -4 | New York UTC Offset (e.g., -4 for EDT, -5 for EST) |
RangeMinutes | int | 5 | Duration in minutes to define the opening range |
LotSize | double | 0.01 | Fixed lot size for trades |
MaxTradesPerDay | int | 5 | Maximum number of trades to take per day |
RiskRewardRatio | double | 2.0 | Risk-to-Reward Ratio (e.g., 2.0 for 1:2) |
Show all 21 inputs
| Name | Type | Default | Description |
|---|---|---|---|
StoplossLookbackBars | int | 15 | Bars to look back for finding the nearest High/Low for SL |
MaxSpread | int | 200 | Maximum allowed spread in points |
ForceCloseTime | string | 12:00 | Close all trades at this server time |
MagicNumber | long | 12345 | Magic number for this EA's trades |
DailyLossPercentage | double | 0.5 | Stop trading if daily loss exceeds this % |
DailyProfitPercentage | double | 1.0 | Stop trading if daily profit exceeds this % |
UseTrailingStop | bool | true | Enable/Disable Trailing Stop |
TrailingStartProfitUSD | double | 1.0 | Start trailing when profit exceeds this USD amount |
TrailingProfitPercentage | double | 50.0 | Percentage of floating profit to trail by |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone joseph-akaro/Mql5-Trading-Bots from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
- 3Copy the filesCopy the .mq5 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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