 Bookmap now offers an API where traders can develop and trade their automated strategies within Bookmap. This video is an overview of the functionality of Bookmap's new API trading strategies. The aim is to give a brief overview so you can understand the capabilities of the API. I'll go over a few existing algo strategies we've developed in order to give you a feel of what the API offers and how you might consider developing strategies of your own. Let's start by clicking on the Trade Strategies Configuration button located on the main Bookmap toolbar. You'll note the Trading Strategy window pops up. There are currently three strategies already loaded. Chase, Escape, and Execute. If you want to add another, click on the Add button here. Let's click on Chase. You'll see the Description and Configuration options to the right. I'll also enable it here as well as the current instrument I am viewing in the Bookmap chart. You'll note the Trade Strategy button becomes green, displaying its active state. This strategy will chase price based on the configuration settings. For example, suppose I'm bullish and want to buy into the market. If I set a limit buy order below the current price and price goes higher, this strategy will chase price at a distance not larger than the inputted value here, which is currently three. I can also choose the level to be defined by best price or the last price. To initiate a strategy, let's open Bookmap's Trade Control Panel. Enable it and select a lot size of one. I'll set a limit buy order here and the strategy is now deployed. Let's cancel it for now so we can go over the remaining strategies. Please play around with the strategies and its settings in Replay mode in order to get a feel for their functionality. Next is the Escape strategy. This strategy is the opposite of the chase strategy. It will move away from the market unless a specific condition is met. For example, if I set a limit buy order and my order is within one price level and the total of the three price levels at or below my limit buy order is less than the opposing three levels on the offer by 60%, then the algo will move my order away from the market by one tick. So if there's not high liquidity below my order, then the algo will move my order down until it finds higher liquidity to lean against. Next is the Execution strategy. This strategy will place an aggressive limit order very close to the market based on the strategy conditions. For example, suppose I am bullish and want to enter the market long. When this strategy is enabled, if the total size of three levels at or below current price on the bid is more than 200% compared to the same three levels on the offer, then the algo will aggressively place my order one tick before the best bid. Thus the algo reaps and reacts to shifts in the limit order book in my favor, thus increasing my probabilities of getting filled at that level of imbalance. Before using bookmap trading strategies, please read the risk disclaimer and understand the risks associated with this new functionality. Futures trading contains substantial risk and is not for every investor. An investor could potentially lose all or more of their initial investment. Past performance is not indicative of future results. Note that it is possible to enable multiple strategies at the same time and they will work together. If you choose to do this, it is your responsibility to make sure your strategies are compatible with each other. This video has given a basic overview of bookmaps trade strategy API capabilities so that traders and programmers may begin developing and trading their own strategies within bookmap. We believe this will integrate extremely well with our current platform to show you exactly how your strategy is performing. In the end, this should give you a significant advantage for optimizing your entries, exits, and trade management.