Supply Demand Trader analyzes candle structures to detect significant price moves and structural clearance for potential entries. The expert advisor manages risk by allowing users to set a fixed dollar amount per trade, calculating position sizes relative to a pip-based stop loss. It targets exits based on a fixed reward-to-risk ratio. While the code includes specific parameters for candle counts and minimum distances, the repository lacks detailed documentation.
Automated supply and demand zone detection
Fixed dollar risk per trade management
Variable candle analysis window settings
Automatic take profit calculation based on reward ratio
Read from supply_demand_trader.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
stop_loss
double
10
stop loss(pip)
risk_amount
double
10
risk amount in usd
riskreward
double
2
reward to risk ratio
candle_to_analyze
int
250
candle to analyze
pip_distance_from_current_price
double
40
pip distance from current price
move_count_of_nth_candle
int
5
from pivot to nth candle push
minimum_left_side_candle
int
15
minimum left side candle from pivot
minimum_left_side_distance_pip
double
30
minimum left side pip distance
five_digit_broker
bool
true
is five digit broker
min_move_distance
int
5
minimum move distance in pips from pivot
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone iamshakibulislam/supply-demand-auto-forex-trading-bot 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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