This page contains some help if you want to edit your sqlite db.
Sqlite3 is a terminal based sqlite application. Feel free to use a visual Database editor like SqliteBrowser if you feel more comfortable with that.
sudo apt-get install sqlite3
Using sqlite3 via docker-compose¶
The freqtrade docker image does contain sqlite3, so you can edit the database without having to install anything on the host system.
docker-compose exec freqtrade /bin/bash sqlite3 <database-file>.sqlite
Open the DB¶
sqlite3 .open <filepath>
Display table structure¶
Get all trades in the table¶
SELECT * FROM trades;
Fix trade still open after a manual sell on the exchange¶
Manually selling a pair on the exchange will not be detected by the bot and it will try to sell anyway. Whenever possible, forcesell
It is strongly advised to backup your database file before making any manual changes.
This should not be necessary after /forcesell, as forcesell orders are closed automatically by the bot on the next iteration.
UPDATE trades SET is_open=0, close_date=<close_date>, close_rate=<close_rate>, close_profit = close_rate / open_rate - 1, close_profit_abs = (amount * <close_rate> * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))), sell_reason=<sell_reason> WHERE id=<trade_ID_to_update>;
UPDATE trades SET is_open=0, close_date='2020-06-20 03:08:45.103418', close_rate=0.19638016, close_profit=0.0496, close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))), sell_reason='force_sell' WHERE id=31;
Remove trade from the database¶
Use RPC Methods to delete trades
/delete <tradeid> via telegram or rest API. That's the recommended way to deleting trades.
If you'd still like to remove a trade from the database directly, you can use the below query.
DELETE FROM trades WHERE id = <tradeid>;
DELETE FROM trades WHERE id = 31;
This will remove this trade from the database. Please make sure you got the correct id and NEVER run this query without the
Use a different database system¶
By using one of the below database systems, you acknowledge that you know how to manage such a system. Freqtrade will not provide any support with setup or maintenance (or backups) of the below database systems.
Freqtrade supports PostgreSQL by using SQLAlchemy, which supports multiple different database systems.
pip install psycopg2-binary
... --db-url postgresql+psycopg2://<username>:<password>@localhost:5432/<database>
Freqtrade will automatically create the tables necessary upon startup.
If you're running different instances of Freqtrade, you must either setup one database per Instance or use different users / schemas for your connections.
MariaDB / MySQL¶
Freqtrade supports MariaDB by using SQLAlchemy, which supports multiple different database systems.
pip install pymysql
... --db-url mysql+pymysql://<username>:<password>@localhost:3306/<database>