freqtrade_origin/docs/bot-basics.md

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 - 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
  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 or hyperopt 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.
• Calls bot_loop_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.
  • 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.