# Trade Object ## Trade A position freqtrade enters is stored in a Trade object - which is persisted to the database. It's a core concept of Freqtrade - and something you'll come across in many sections of the documentation, which will most likely point you to this location. It will be passed to the strategy in many [strategy callbacks](strategy-callbacks.md). The object passed to the strategy cannot be modified. ## Available attributes The following attributes / properties are available for each individual trade - and can be used with `trade.` (e.g. `trade.pair`). | Attribute | DataType | Description | |------------|-------------|-------------| | `pair`| string | Pair of this trade | `is_open`| boolean | Is the trade currently open, or has it been concluded | `open_rate`| float | Rate this trade was entered at (Avg. entry rate in case of trade-adjustments) | `close_rate`| float | Close rate - only set when is_open = False | `stake_amount`| float | Amount in Stake (or Quote) currency. | `amount`| float | Amount in Asset / Base currency that is currently owned. | `open_date`| datetime | Timestamp when trade was opened **use `open_date_utc` instead** | `open_date_utc`| datetime | Timestamp when trade was opened - in UTC | `close_date`| datetime | Timestamp when trade was closed **use `close_date_utc` instead** | `close_date_utc`| datetime | Timestamp when trade was closed - in UTC | `close_profit`| float | Relative profit at the time of trade closure. `0.01` == 1% | `close_profit_abs`| float | Absolute profit (in stake currency) at the time of trade closure. | `leverage` | float | Leverage used for this trade - defaults to 1.0 in spot markets. | `enter_tag`| string | Tag provided on entry via the `enter_tag` column in the dataframe | `is_short` | boolean | True for short trades, False otherwise | `orders` | Order[] | List of order objects attached to this trade. | `date_last_filled_utc` | datetime | Time of the last filled order | `entry_side` | "buy" / "sell" | Order Side the trade was entered | `exit_side` | "buy" / "sell" | Order Side that will result in a trade exit / position reduction. | `trade_direction` | "long" / "short" | Trade direction in text - long or short. | `nr_of_successful_entries` | int | Number of successful (filled) entry orders | `nr_of_successful_exits` | int | Number of successful (filled) exit orders ## Class methods The following are class methods - which return generic information, and usually result in an explicit query against the database. They can be used as `Trade.` - e.g. `open_trades = Trade.get_open_trade_count()` !!! Warning "Backtesting/hyperopt" Most methods will work in both backtesting / hyperopt and live/dry modes. During backtesting, it's limited to usage in [strategy callbacks](strategy-callbacks.md). Usage in `populate_*()` methods is not supported and will result in wrong results. ### get_trades_proxy When your strategy needs some information on existing (open or close) trades - it's best to use `Trade.get_trades_proxy()`. Usage: ``` python from freqtrade.persistence import Trade from datetime import timedelta # ... trade_hist = Trade.get_trades_proxy(pair='ETH/USDT', is_open=False, open_date=current_date - timedelta(days=2)) ``` `get_trades_proxy()` supports the following keyword arguments. All arguments are optional - calling `get_trades_proxy()` without arguments will return a list of all trades in the database. * `pair` e.g. `pair='ETH/USDT'` * `is_open` e.g. `is_open=False` * `open_date` e.g. `open_date=current_date - timedelta(days=2)` * `close_date` e.g. `close_date=current_date - timedelta(days=5)` ### get_open_trade_count Get the number of currently open trades ``` python from freqtrade.persistence import Trade # ... open_trades = Trade.get_open_trade_count() ``` ### get_total_closed_profit Retrieve the total profit the bot has generated so far. Aggregates `close_profit_abs` for all closed trades. ``` python from freqtrade.persistence import Trade # ... profit = Trade.get_total_closed_profit() ``` ### total_open_trades_stakes Retrieve the total stake_amount that's currently in trades. ``` python from freqtrade.persistence import Trade # ... profit = Trade.total_open_trades_stakes() ``` ### get_overall_performance Retrieve the overall performance - similar to the `/performance` telegram command. ``` python from freqtrade.persistence import Trade # ... if self.config['runmode'].value in ('live', 'dry_run'): performance = Trade.get_overall_performance() ``` Sample return value: ETH/BTC had 5 trades, with a total profit of 1.5% (ratio of 0.015). ``` json {"pair": "ETH/BTC", "profit": 0.015, "count": 5} ``` ## Order Object An `Order` object represents an order on the exchange (or a simulated order in dry-run mode). An `Order` object will always be tied to it's corresponding [`Trade`](#trade-object), and only really makes sense in the context of a trade. ## Available information TODO: write me | Attribute | DataType | Description | |------------|-------------|-------------| TODO: write me