Bot for automatic trading on dmarket
These instructions will guide you through setting up the dmarket_bot using our automated installer scripts. Ensure you have Git and Python 3 installed on your system before proceeding.
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Run the Installer: Open your Terminal and execute the following command:
bash -c "$(curl -fsSL [https://raw.githubusercontent.com/Cfomodz/dmarket_bot/main/installer.sh](https://raw.githubusercontent.com/Cfomodz/dmarket_bot/main/installer.sh))"This command downloads and runs the
installer.shscript. The script will:- Clone the
dmarket_botrepository from GitHub. - Navigate into the cloned
dmarket_botdirectory. - Create a Python virtual environment named
venv. - Activate the virtual environment.
- Install all required Python packages from
requirements.txt. - Create a template
credentials.pyfile with placeholder API keys. The script will output its progress to the terminal.
- Clone the
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Configure API Keys: Once the installer script is complete:
- Ensure you are in the
dmarket_botdirectory (the script should leave you there). If not, navigate to it:cd dmarket_bot - Open the
credentials.pyfile using a text editor (e.g.,nano credentials.py,vim credentials.py, or open it with your preferred GUI editor). - Inside
credentials.py, replace"YOUR_PUBLIC_API_KEY_HERE"and"YOUR_SECRET_API_KEY_HERE"with your actual DMarket Public and Secret API keys respectively. Save the file.
- Ensure you are in the
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Run the Bot: After configuring your API keys:
- Make sure the virtual environment is active (your terminal prompt should typically show
(venv)). If it's not active, run:source venv/bin/activate - Execute the main bot script:
python main.py
- Make sure the virtual environment is active (your terminal prompt should typically show
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Run the Installer: Open PowerShell (you can search for "PowerShell" in the Start Menu. If you encounter issues, try running PowerShell as Administrator) and execute the following command:
Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.SecurityProtocolType]::Tls12 -bor [System.Net.SecurityProtocolType]::Tls11 -bor [System.Net.SecurityProtocolType]::Tls; Invoke-Expression ((New-Object System.Net.WebClient).DownloadString('[https://raw.githubusercontent.com/Cfomodz/dmarket_bot/main/installer.ps1](https://raw.githubusercontent.com/Cfomodz/dmarket_bot/main/installer.ps1)'))
This command performs several actions:
Set-ExecutionPolicy Bypass -Scope Process -Force;: Temporarily allows the current PowerShell session to run scripts without being restricted by the execution policy. This change only applies to this specific PowerShell window and session.[System.Net.ServicePointManager]::SecurityProtocol = ...;: Ensures that modern TLS security protocols (TLS 1.2, 1.1, 1.0) are enabled for the web request, which helps with downloading from GitHub securely.Invoke-Expression ((New-Object System.Net.WebClient).DownloadString('...')): Downloads theinstaller.ps1script from your GitHub repository and immediately executes it. The script will output its progress. It will:- Clone the
dmarket_botrepository. - Navigate into the cloned
dmarket_botdirectory. - Create a Python virtual environment named
venv. - Attempt to activate the virtual environment (it will provide instructions if manual activation or execution policy changes are needed).
- Install all required Python packages from
requirements.txt. - Create a template
credentials.pyfile with placeholder API keys. - The script may pause at the end; press Enter to close its window if it does so when run in a new window.
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Configure API Keys: Once the installer script is complete:
- Navigate to the
dmark 7F2A et_botdirectory if you're not already there (e.g.,cd dmarket_bot). This directory is typically created in your user profile folder (e.g.,C:\Users\YourUserName\dmarket_bot). - Open the
credentials.pyfile using a text editor (e.g., Notepad, VS Code, or by typingnotepad credentials.pyin PowerShell while in thedmarket_botdirectory). - Inside
credentials.py, replace"YOUR_PUBLIC_API_KEY_HERE"and"YOUR_SECRET_API_KEY_HERE"with your actual DMarket Public and Secret API keys respectively. Save the file.
- Navigate to the
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Run the Bot: After configuring your API keys:
- Ensure you are in the
dmarket_botdirectory in PowerShell. - Activate the virtual environment if it's not already active (the script attempts this, but if you open a new terminal or it failed, run):
.\venv\Scripts\Activate.ps1 - Execute the main bot script:
python main.py
- Ensure you are in the
- Supports all games available on dmarket.
- Automatic analysis of the skins/items for each game
- Placing orders which are determined by 15 different parameters
- Automatic setting of skins/items for sale after purchase. Adjusting of prices in accordance with the settings.
All configuration parameters are set in the config.py file in the root directory of the bot.
logger_config- logger configuration
logger_config = {
"handlers": [
{"sink": sys.stderr, 'colorize': True, 'level': 'INFO'},
# {"sink": "log/debug.log", "serialize": False, 'level': 'DEBUG'},
{"sink": "log/info.log", "serialize": False, 'level': 'INFO'},
]
}
logger.configure(**logger_config)"sink": sys.stderr - output logs to the console
"sink": "log/info.log" - output logs to a file
'level': 'INFO' is the level of the logs. Possible settings: TRACE, DEBUG, INFO, SUCCESS, WARNING, ERROR , CRITICAL. Each level from left to right prohibits the output of lower levels. IF the level INFO is set messages with the levels TRACE, DEBUG won't be displayed.
GAMES = [Games.CS, Games.DOTA, Games.RUST]- a lisit of games that will be used for trading. Available values:Games.CS, Games.DOTA, Games.RUST, Games.TF2PREV_BASE = 60 * 60 * 4- update the skin database everyPREV_BASEsecondsORDERS_BASE = 60 * 10- update the order databaseORDERS_BASEsecondsBAD_ITEMS- a blacklist of words. If the word is included in the name of the item it won't be bought.
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STOP_ORDERS_BALANCE = 1000- Stop placing orders if the balance is <= 10 dollars more than the minimum order price -
MIN_AVG_PRICE = 400- The minimum average price for the last 20 purchases of an item in cents. Items with a lower won't be added to the skin database -
MAX_AVG_PRICE = 3500- The maximum average price for the last 20 purchases of an item in cents. Items with a higher price will not be added to the skin database. -
FREQUENCY = True-PROFIT_PERCENT = 6or less, and the parameterGOOD_POINTS_PERCENT = 50or higher. -
MIN_PRICE = 300- minimum price. The order won't be placed below this price -
MAX_PRICE = 3000- maximum price. The order won't be placed above this price -
PROFIT_PERCENT = 7- -
GOOD_POINTS_PERCENT = 50- the minimum percentage of points in the history of the last 20 sales corresponding to the parameterPROFIT_PERCENT = 7. In this case, if less than 50 % of points were sold with a profit of less than 7 %, then an order for such a skin/item won't be placed -
AVG_PRICE_COUNT = 7- calculating the average price for the last 7 sales to form the estimated profit -
ALL_SALES = 100- the minimum number of sales for the entire period, if sales are below this number, the order won't be placed -
DAYS_COUNT = 20- at leastSALE_COUNT = 15sales forDAYS_COUNT = 20days. Selection by popularity -
SALE_COUNT = 15- at leastSALE_COUNT = 15sales forDAYS_COUNT = 20days. Selection by popularity -
LAST_SALE = 2- last sale is no older than LAST_SALE days ago -
FIRST_SALE = 15- first purchase is no later than FIRST_SALE days ago -
MAX_COUNT_SELL_OFFERS = 30- The maximum number of items for sale. Above 30 the order won't be placed -
BOOST_PERCENT = 24- remove up to 3 points that are 24 % higher than average price -
BOOST_POINTS = 3- remove up to 3 points that are 24 % higher than average price -
MAX_THRESHOLD = 1- the maximum price increase by MAX_THRESHOLD in % of the current order. The maximum increase in the price of your order from the price of the current first order -
MIN_THRESHOLD = 3- the maximum decrease in the price of your order from the price of the current one. Sets the price change boundaries for the order
MIN_PERCENT = 7- minimum profit percentageMAX_PERCENT = 15- maximum profit percentage