Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: In order to protect a trading party from predatory trading strategies employed by some market participants, especially during certain periods when quotes for a particular security are experiencing rapid changes or transitions, embodiments of the present invention facilitate and support a new type of trading orders whose booking and execution behaviors are dynamically varied in response to environmental market conditions. Pursuant to predefined rules for the new type of trading orders, the orders may be allowed to trade at more aggressive price levels if the market is relatively stable, and the orders can only trade at less aggressive price levels when the market is unstable.

Abstract: One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises (a) product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and (b) a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises a product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety, and a first terminal moiety comprising a covalently bonded nitroxide containing group.

Abstract: The present invention provides a crosslinkable polymer system that can be crosslinked to form a wide variety of polymeric, copolymeric and oligomeric compounds. The crosslinkable system comprises (a) product Q formed from an aromatic ethylenically unsaturated moiety and a first reactive ethylenically unsaturated moiety, and (b) a second reactive ethylenically unsaturated moiety at least partially reacted with the first reactive ethylenically unsaturated moiety.