# Freqtrade basics This page provides you some basic concepts on how Freqtrade works and operates. ## Freqtrade terminology * **Strategy**: Your trading strategy, telling the bot what to do. * **Trade**: Open position. * **Open Order**: Order which is currently placed on the exchange, and is not yet complete. * **Pair**: Tradable pair, usually in the format of Base/Quote (e.g. XRP/USDT). * **Timeframe**: Candle length to use (e.g. `"5m"`, `"1h"`, ...). * **Indicators**: Technical indicators (SMA, EMA, RSI, ...). * **Limit order**: Limit orders which execute at the defined limit price or better. * **Market order**: Guaranteed to fill, may move price depending on the order size. * **Current Profit**: Currently pending (unrealized) profit for this trade. This is mainly used throughout the bot and UI. * **Realized Profit**: Already realized profit. Only relevant in combination with [partial exits](strategy-callbacks.md#adjust-trade-position) - which also explains the calculation logic for this. * **Total Profit**: Combined realized and unrealized profit. The relative number (%) is calculated against the total investment in this trade. ## Fee handling All profit calculations of Freqtrade include fees. For Backtesting / Hyperopt / Dry-run modes, the exchange default fee is used (lowest tier on the exchange). For live operations, fees are used as applied by the exchange (this includes BNB rebates etc.). ## Bot execution logic Starting freqtrade in dry-run or live mode (using `freqtrade trade`) will start the bot and start the bot iteration loop. This will also run the `bot_start()` callback. By default, the bot loop runs every few seconds (`internals.process_throttle_secs`) and performs the following actions: * Fetch open trades from persistence. * Calculate current list of tradable pairs. * Download OHLCV data for the pairlist including all [informative pairs](strategy-customization.md#get-data-for-non-tradeable-pairs) This step is only executed once per Candle to avoid unnecessary network traffic. * Call `bot_loop_start()` strategy callback. * Analyze strategy per pair. * Call `populate_indicators()` * Call `populate_entry_trend()` * Call `populate_exit_trend()` * Check timeouts for open orders. * Calls `check_entry_timeout()` strategy callback for open entry orders. * Calls `check_exit_timeout()` strategy callback for open exit orders. * Calls `adjust_entry_price()` strategy callback for open entry orders. * Verifies existing positions and eventually places exit orders. * Considers stoploss, ROI and exit-signal, `custom_exit()` and `custom_stoploss()`. * Determine exit-price based on `exit_pricing` configuration setting or by using the `custom_exit_price()` callback. * Before a exit order is placed, `confirm_trade_exit()` strategy callback is called. * Check position adjustments for open trades if enabled by calling `adjust_trade_position()` and place additional order if required. * Check if trade-slots are still available (if `max_open_trades` is reached). * Verifies entry signal trying to enter new positions. * Determine entry-price based on `entry_pricing` configuration setting, or by using the `custom_entry_price()` callback. * In Margin and Futures mode, `leverage()` strategy callback is called to determine the desired leverage. * Determine stake size by calling the `custom_stake_amount()` callback. * Before an entry order is placed, `confirm_trade_entry()` strategy callback is called. This loop will be repeated again and again until the bot is stopped. ## Backtesting / Hyperopt execution logic [backtesting](backtesting.md) or [hyperopt](hyperopt.md) do only part of the above logic, since most of the trading operations are fully simulated. * Load historic data for configured pairlist. * Calls `bot_start()` once. * Calculate indicators (calls `populate_indicators()` once per pair). * Calculate entry / exit signals (calls `populate_entry_trend()` and `populate_exit_trend()` once per pair). * Loops per candle simulating entry and exit points. * Calls `bot_loop_start()` strategy callback. * Check for Order timeouts, either via the `unfilledtimeout` configuration, or via `check_entry_timeout()` / `check_exit_timeout()` strategy callbacks. * Calls `adjust_entry_price()` strategy callback for open entry orders. * Check for trade entry signals (`enter_long` / `enter_short` columns). * Confirm trade entry / exits (calls `confirm_trade_entry()` and `confirm_trade_exit()` if implemented in the strategy). * Call `custom_entry_price()` (if implemented in the strategy) to determine entry price (Prices are moved to be within the opening candle). * In Margin and Futures mode, `leverage()` strategy callback is called to determine the desired leverage. * Determine stake size by calling the `custom_stake_amount()` callback. * Check position adjustments for open trades if enabled and call `adjust_trade_position()` to determine if an additional order is requested. * Call `custom_stoploss()` and `custom_exit()` to find custom exit points. * For exits based on exit-signal, custom-exit and partial exits: Call `custom_exit_price()` to determine exit price (Prices are moved to be within the closing candle). * Generate backtest report output !!! Note Both Backtesting and Hyperopt include exchange default Fees in the calculation. Custom fees can be passed to backtesting / hyperopt by specifying the `--fee` argument. !!! Warning "Callback call frequency" Backtesting will call each callback at max. once per candle (`--timeframe-detail` modifies this behavior to once per detailed candle). Most callbacks will be called once per iteration in live (usually every ~5s) - which can cause backtesting mismatches.