The total funds set aside for the bot to execute its orders. The maximum amount of funds that is allowed to be used by the bot. There are two main types of orders - STATIC and DYNAMIC.
For STATIC order type, each new deal will always use the Fund Allocation value.
For DYNAMIC order type, each new deal will use the proceeds (realized profit or loss) from the last deal for the new deal's Fund Allocation.
If the bot makes a profit with Dynamic order type, profits are added to the Fund Allocation and used for the bot's future Deals. The reverse applies if the bot made a loss in the previous deal.
Bots will continue to execute orders and complete deals as long as there are still remaining funds set in the Fund Allocation for each bot.
If you are using DYNAMIC order type, the bot will add previous profits to the next Deal. Hence, it may seem that you have actually allocated sufficient capital but ,in fact, the bot's internally computed allocated capital is higher than your preset value. We recommend using STATIC order if you may be reallocating the profits made by the bots. It is also simpler and clearer.
If you would like to update the Fund Allocation for a Dynamic order bot, please save the bot as STATIC with the new Fund Allocation. Then, when the bot opens with the first deal using the new Fund Allocation, you can update the bot to Dynamic.
Many users will deploy the excess profits to other purpose (withdrawals, personal trading, etc). Due to this reason, a bot will become inactivated when it encounters an insufficient capital scenario.
The first order the bot makes, it is set by a percentage of the Fund Allocation reserved for the bot. Once a Entry Condition is triggered, the Base Order is the amount the bot will place.
All remaining Allocated Funds not used in the Base Order Limit will be assigned to Extra Orders. Each Extra Order is divided by the number of Extra Orders set equally. Extra Orders are triggered when Entry Conditions are met again before any Exit Conditions, Stoploss or Take Profit triggers.
In order to prevent the bot from buying successive extra orders at very small price gaps, a user can set the mininum price gap between each order. This will allow a more practical dollar-cost-averaging approach.
Trade Frequency sets the bot to evaluate and place orders based on the Entry and Exit Conditions at every set time interval. Data is consolidated from candlestick data, Trading Frequency evaluates data as per their respective candlestick interval. The higher the trading frequency, the higher the number of evaluations can be done, hence the bot will tend to place orders more frequently.
Professional Plan users have access to 5 minute Trading Frequency