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📁 Strategy Info

🏆 Strategy Tier

Community strategies have passed the Minimum Voting Power Threshold in the latest Poll and are included in each monthly release. They are not maintained by Hummingbot Foundation but may be maintained by a community member.

📝 Summary

This strategy is a simple bot that places a series of limit orders on an exchange, while allowing users to control order size, price, and duration.

We recommend this strategy as a starting point for developers looking to build their own strategies, and it is used as reference for articles in Developer Reference: Strategies.

đŸĻ Exchanges supported


🛠ī¸ Strategy configs

Parameter Type Default Prompt New? Prompt
connector string True Enter the name of spot connector
trading_pair string True Enter the token trading pair you would like to trade on [connector]
trade_side string buy True What operation will be executed? (buy/sell)
target_asset_amount decimal 1 True What is the total amount of [base_token] to be traded?
order_step_size decimal 1 True What is the amount of each individual order (denominated in the base asset, default is 1)
order_price decimal True What is the price for the limit orders?
order_delay_time decimal 10 True How many seconds do you want to wait between each individual order?
cancel_order_wait_time decimal 60 True How long do you want to wait before cancelling your limit order (in seconds).
is_time_span_execution bool False False Do you want to specify a start time and an end time for the execution?
start_datetime decimal False Please enter the start date and time
end_datetime decimal False Please enter the end date and time

📓 Description

Trading logic

Approximation only

The description below is a general approximation of this strategy. Please inspect the strategy code in Trading Logic above to understand exactly how it works.

The TWAP strategy is a common algorithmic execution strategy used for splitting up large orders over time. Specifically, the TWAP strategy helps traders minimize slippage when buying or selling large orders. These features make the strategy more useful to traders and will help when creating future, more complex strategies:

  • Incrementing / maintaining states over clock ticks
  • Quantizing (rounding down to nearest tradable value) order size
  • Dividing an order into segments
  • Incorporating time delays between segmented orders


The TWAP strategy divides a large user order into chunks according to the following user configurations:

  • Total order size
  • number of individual orders
  • time delay between orders

Figure 1: Processing orders

The orders are then split into tradable (quantized) amounts and executed sequentially with the indicated time delay in between orders. There is no time delay before the first order. Because only one order is placed in a clock tick, a state machine is needed to emit multiple orders over different clock ticks. To see the executed orders, type history into the command prompt.


Here are the additional user configurable parameters for the TWAP strategy (fields are added to config_map file):

  • time_delay : Change the question to ask for the number of seconds to delay each individual order. (e.g. How many seconds do you want to wait between each individual order?)
  • num_individual_orders : a new field added to the config map. It should ask for the number of individual orders that an order should be split up into. (e.g.Into how many individual orders do you want to split this order?)


The TWAP strategy logic is trying to split a large order into smaller ones over time, and it does that by maintaining important information about the state when processing orders by adding state variables.

Custom state variables can be added to the strategy by setting variables in the __init__ function.

  • self._quantity_remaining : Indicates the quantity of order left to be placed as individual orders. This state variable is updated after each order is placed and persisted throughout until the order is done processing.
  • self._first_order : Indicates whether the current individual order is the first order.

Figure 2: Placing orders

TWAP processes orders when there is a remaining order quantity & the specified time_delay has passed. Specifically, some of the key elements in utilizing the remaining order quantity and time_delay are detailed below:

  • If self._quantity_remaining is greater than 0 place an order
  • If self._first_order is true, we want to place order as soon as self._current_timestamp > self._previous_timestamp we don't have a time delay before the first order
  • If it isn't the first order, check that self._current_timestamp > self._previous_timestamp + self._time_delay
  • Once order is placed, update self._quantity_remaining by subtracting the amount of the order just placed curr_order_amount : Either (total order amount)/(number of orders) or self._quantity_remaining depending on which is smaller

đŸ“ē Demo


This demo is for instructional and educational purposes only. Any parameters used are purely for demo purposes only. We are not giving any legal, tax, financial, or investment advice. Every user is responsible for their use and configuration of Hummingbot.

ℹī¸ More Resources

Strategy coding for dummies: This article is a blog post submission from our of our users. It is not directly related to TWAP strategy, but it demos how you can write a custom script for cross exchange market making strategy

Check out Hummingbot Academy for more resources related to this strategy and others!