Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predictive modeling for adjusting initial values are disclosed. In one aspect, a method includes the actions of accessing transaction history data that indicates one or more transaction details associated with the transaction, a predicted value, and a final value. The actions further include determining a difference value between the predicted value and the final value. The actions further include generating a predictive model that is trained to estimate. The actions further include receiving one or more transaction details and a predicted value associated with a subsequently received transaction. The actions further include providing the one or more transaction details as input to the predictive model. The actions further include receiving an adjustment value to apply to the predicted value. The actions further include providing, for output, data indicating the adjustment value.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: accessing transaction history data that, for each of one or more past transactions, indicates one or more transaction details associated with the transaction, a predicted value, and a final value, wherein the one or more transaction details include a sentiment associated with an entity requesting the transaction, a value sensitivity of the entity, and a relationship between the entity requesting the transaction and an entity processing the transaction; for each of the one or more past transactions, determining a difference value between the predicted value and the final value; for each of the one or more past transactions, generating, using the one or more transaction details and the difference value, a predictive model that is trained to estimate, based on one or more given transaction details and a given predicted value, an adjustment value to apply to the given predicted value; receiving one or more transaction details and a predicted value associated with a subsequently received transaction; providing the one or more transaction details as input to the predictive model; in response to providing the one or more transaction details as input to the predictive model, receiving, from the predictive model, an adjustment value to apply to the predicted value; and providing, for output, data indicating the adjustment value. 2. The method of claim 1, comprising: accessing real-time data that is associated with the entity requesting the transaction; and based on the real-time data that is associated with the entity requesting the transaction, determining a real-time sentiment that is associated with the entity requesting the transaction, wherein providing the one or more transaction details as input to the predictive model compromises providing data indicating the real-time sentiment that is associated with the entity requesting the transaction as additional input to the predictive model. 3. The method of claim 1, comprising: accessing real-time data that is associated with the entity requesting the transaction and with the entity processing the transaction; and based on the real-time data that is associated with the entity requesting the transaction, determining a relationship between the entity requesting the transaction and the entity processing the transaction, wherein providing the one or more transaction details as input to the predictive model compromises providing data indicating the relationship between the entity requesting the transaction and the entity processing the transaction as additional input to the predictive model. 4. The method of claim 1, wherein the sentiment associated with an entity requesting the transaction is based on an analysis of media that includes references to the entity requesting the transaction and contexts of the references. 5. The method of claim 1, wherein the value sensitivity of the entity requesting the transaction is based on a likelihood of the entity to request adjusting the predicted value. 6. The method of claim 1, wherein: the transaction is a stock trade, the predicted value is a predicted price per share, and the adjustment value is an adjustment to the predicted price per share. 7. The method of claim 1, wherein the relationship between the entity requesting the transaction and the entity processing the transaction is based on a profitability realized by the entity processing the transaction in providing services to the entity requesting the transaction. 8. The method of claim 1, comprising: receiving data indicating an instruction to apply the adjustment value to the predicted value; and executing the transaction with the predicted value adjusted by the adjustment value. 9. The method of claim 1, wherein the transaction details comprise compliance characteristics of the entity requesting the transaction based on a number of changes the entity requesting the transaction has requested for previous transactions. 10. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: accessing transaction history data that, for each of one or more past transactions, indicates one or more transaction details associated with the transaction, a predicted value, and a final value, wherein the one or more transaction details include a sentiment associated with an entity requesting the transaction, a value sensitivity of the entity, and a relationship between the entity requesting the transaction and an entity processing the transaction; for each of the one or more past transactions, determining a difference value between the predicted value and the final value; for each of the one or more past transactions, generating, using the one or more transaction details and the difference value, a predictive model that is trained to estimate, based on one or more given transaction details and a given predicted value, an adjustment value to apply to the given predicted value; and using the predictive model to estimate an adjustment value to apply to one or more subsequently received transaction details associated with a subsequent transaction. 11. The system of claim 10, wherein the sentiment associated with an entity requesting the transaction is based on an analysis of media that includes references to the entity requesting the transaction and contexts of the references. 12. The system of claim 10, wherein the value sensitivity of the entity requesting the transaction is based on a likelihood of the entity to request adjusting the predicted value. 13. The system of claim 10, wherein: the transaction is a stock trade, the predicted value is a predicted price per share, and the adjustment value is an adjustment to the predicted price per share. 14. The system of claim 10, wherein the relationship between the entity requesting the transaction and the entity processing the transaction is based on a profitability realized by the entity processing the transaction in providing services to the entity requesting the transaction. 15. The system of claim 10, wherein the transaction details comprise compliance characteristics of the entity requesting the transaction based on a number of changes the entity requesting the transaction has requested for previous transactions. 16. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: accessing a predictive model that is trained to estimate, based on one or more given transaction details and a given predicted value, an adjustment value to apply to the given predicted value, wherein the one or more transaction details include a sentiment associated with an entity requesting the transaction, a value sensitivity of the entity, and a relationship between the entity requesting the transaction and an entity processing the transaction; receiving one or more transaction details and a predicted value associated with a subsequently received transaction; providing the one or more transaction details as input to the predictive model; in response to providing the one or more transaction details as input to the predictive model, receiving, from the predictive model, an adjustment value to apply to the predicted value; and providing, for output, data indicating the adjustment value. 17. The medium of claim 16, wherein the operations further comprise: accessing real-time data that is associated with the entity requesting the transaction; and based on the real-time data that is associated with the entity requesting the transaction, determining a real-time sentiment that is associated with the entity requesting the transaction, wherein providing the one or more transaction details as input to the predictive model compromises providing data indicating the real-time sentiment that is associated with the entity requesting the transaction as additional input to the predictive model. 18. The medium of claim 16, wherein the operations further comprise: accessing real-time data that is associated with the entity requesting the transaction and with the entity processing the transaction; and based on the real-time data that is associated with the entity requesting the transaction, determining a relationship between the entity requesting the transaction and the entity processing the transaction, wherein providing the one or more transaction details as input to the predictive model compromises providing data indicating the relationship between the entity requesting the transaction and the entity processing the transaction as additional input to the predictive model. 19. The medium of claim 16, wherein the operations further comprise: receiving data indicating an instruction to apply the adjustment value to the predicted value; and executing the transaction with the predicted value adjusted by the adjustment value. 20. The medium of claim 16, wherein the transaction details comprise compliance characteristics of the entity requesting the transaction based on a number of changes the entity requesting the transaction has requested for previous transactions.