Predicting Stock Trends: A Multi Agent Approach

This thesis aims to develop a scalable distributed system that provides reliable information about the trend that a certain security will follow in the Stock Market using Machine Learning techniques. The core of the research presented in this thesis is the creation of a Multi Agent based system capable of predicting whether the price of a stock will rise, drop or stay. In order to do so, the problem is divided into three parts: Information Retrieval, Data Analysis and Data Visualization. The first part is focused on retrieving the necessary information from Internet and on transforming this raw data into computer-understandable structures that will allow further analysis. In addition to this, new financial indicators are calculated to provide more meaningful data to the system. The second part is focused on analyzing this preprocessed data using several Machine Learning methods. The methods that have been selected to execute the analysis are: Artificial Neural Networks, Decision Trees, Support Vector Machines and Reinforcement Learning. The idea behind using different methods besides testing the performance of each in this scenario, is the creation of a team of “data analyzers” like the ones found at investment firms. Following the “Keep it Simple” principle, third party libraries have been used when possible to diminish implementation costs. Finally, the third part deals with the problem of how to present the data and results to the users in a clear but informative way. Just this part on this own could perfectly be a Final Project in a Media Degree, so here we will present a gentle introduction to the Data Visualization world. Since this thesis is also a Computer Science Engineering Final Project, emphasis will be made in describing the system architecture and the technologies used to create it. In part because of this, this Thesis aims to create a Proof of Concept for a possible future product instead of realizing just a evaluation of Machine Learning methods applied to predicting stock trend

Neuronal survival induced by neurotrophins requires calmodulin

It has been reported that phosphoinositide 3-kinase (PI 3-kinase) and its downstream target, protein kinase B (PKB), play a central role in the signaling of cell survival triggered by neurotrophins (NTs). In this report, we have analyzed the involvement of Ca2+ and calmodulin (CaM) in the activation of the PKB induced by NTs. We have found that reduction of intracellular Ca2+ concentration or functional blockade of CaM abolished NGF-induced activation of PKB in PC12 cells. Similar results were obtained in cultures of chicken spinal cord motoneurons treated with brain-derived neurotrophic factor (BDNF). Moreover, CaM inhibition prevented the cell survival triggered by NGF or BDNF. This effect was counteracted by the transient expression of constitutive active forms of the PKB, indicating that CaM regulates NT-induced cell survival through the activation of the PKB. We have investigated the mechanisms whereby CaM regulates the activation of the PKB, and we have found that CaM was necessary for the proper generation and/or accumulation of the products of the PI 3-kinase in intact cells

An inducible knockout mouse to model the cellautonomous role of PTEN in initiating endometrial, prostate and thyroid neoplasias

PTEN is one of the most frequently mutated tumor suppressor genes in human cancers. The role of PTEN in carcinogenesis has been validated by knockout mouse models. PTEN heterozygous mice develop neoplasms in multiple organs. Unfortunately, the embryonic lethality of biallelic excision of PTEN has inhibited the study of complete PTEN deletion in the development and progression of cancer. By crossing PTEN conditional knockout mice with transgenic mice expressing a tamoxifen-inducible Cre-ERT under the control of a chicken actin promoter, we have generated a tamoxifeninducible mouse model that allows temporal control of PTEN deletion. Interestingly, administration of a single dose of tamoxifen resulted in PTEN deletion mainly in epithelial cells, but not in stromal, mesenchymal or hematopoietic cells. Using the mT/mG double-fluorescent Cre reporter mice, we demonstrate that epithelial-specific PTEN excision was caused by differential Cre activity among tissues and cells types. Tamoxifen-induced deletion of PTEN resulted in extremely rapid and consistent formation of endometrial in situ adenocarcinoma, prostate intraepithelial neoplasia and thyroid hyperplasia. We also analyzed the role of PTEN ablation in other epithelial cells, such as the tubular cells of the kidney, hepatocytes, colonic epithelial cells or bronchiolar epithelium, but those tissues did not exhibit neoplastic growth. Finally, to validate this model as a tool to assay the efficacy of anti-tumor drugs in PTEN deficiency, we administered the mTOR inhibitor everolimus to mice with induced PTEN deletion. Everolimus dramatically reduced the progression of endometrial proliferations and significantly reduced thyroid hyperplasia. This model could be a valuable tool to study the cell-autonomous mechanisms involved in PTEN-loss-induced carcinogenesis and provides a good platform to study the effect of anti-neoplastic drugs on PTEN-negative tumors

Optimal protocol for PTEN immunostaining; role of analytical and preanalytical variables in PTEN staining in normal and neoplastic endometrial, breast, and prostatic tissues

In some tumors, phosphatase and tensin homolog (PTEN) inactivation may have prognostic importance and predictive value for targeted therapies. Immunohistochemistry (IHC) may be an effective method to demonstrate PTEN loss. It was claimed that PTEN IHC showed poor reproducibility, lack of standardization, and variable effects of preanalytical factors. In this study, we developed an optimal protocol for PTEN IHC, with clone 6H2.1, by checking the relevance of analytical variables in normal tissue and tumors of endometrium, breast, and prostate. Pattern and intensity of cellular staining and background nonspecific staining were quantified and subjected to statistical analysis by linear mixed models. The proposed protocol showed a statistically best performance (P .001). However, there was a trend of significance for decreased staining and fixation under high temperature. Moreover, staining was better in endometrial aspirates than in matched hysterectomy specimens, subjected to less controlled preanalytical variables (mean histoscores, 80 and 40, respectively; P = .002). A scoring system combining intensity of staining and percentage of positive cells was statistically associated with PTEN alterations (P = .01).The study was done according to the research collaboration with Dako Denmark A/S. The research team was also supported by grants FIS PI100922, Fundación Mutua Madrileña AP75732010, 2009SGR794, RD12/0036/0013, Fundación Asociación Española contra el Cancer, programa de intensificación de la investigación, Instituto Carlos III, Verelst Baarmoederkankerfonds, Leuven, and European Network for Individualized Treatment of Endometrial Carcinoma. F. A. is senior researcher for the research fund Flandersb. Tumor samples were obtained with the support of XarxaCatalana de Bancs de Tumors, the TumorBanc Platform of RTICC, and Red de Biobancos (RD09/0076/00059

Cytoplasmic cyclin D1 regulates cell invasion and metastasis through the phosphorylation of paxillin

Cyclin D1 (Ccnd1) together with its binding partner Cdk4 act as a transcriptional regulator to control cell proliferation and migration, and abnormal Ccnd1 . Cdk4 expression promotes tumour growth and metastasis. While different nuclear Ccnd1 . Cdk4 targets participating in cell proliferation and tissue development have been identified, little is known about how Ccnd1 . Cdk4 controls cell adherence and invasion. Here, we show that the focal adhesion component paxillin is a cytoplasmic substrate of Ccnd1 . Cdk4. This complex phosphorylates a fraction of paxillin specifically associated to the cell membrane, and promotes Rac1 activation, thereby triggering membrane ruffling and cell invasion in both normal fibroblasts and tumour cells. Our results demonstrate that localization of Ccnd1 . Cdk4 to the cytoplasm does not simply act to restrain cell proliferation, but constitutes a functionally relevant mechanism operating under normal and pathological conditions to control cell adhesion, migration and metastasis through activation of a Ccnd1 . Cdk4-paxillin-Rac1 axis

FISH analysis of PTEN in endometrial carcinoma. Comparison with SNP arrays and MLPA

Aims: To check the usefulness of a standardized protocol of PTEN FISH in 31 endometrial carcinomas (ECs) in comparison with SNP array (SNPA), multiplex ligation-dependent probe amplification (MLPA), and immunohistochemistry. Methods and results: Fluorescence in-situ hybridization analysis showed two PTEN copies in 17 cases, three copies in nine cases, hemizygous deletion in two cases, and diverse cell populations with different PTEN copy number in three cases. A good correlation was seen between FISH and SNPA, particularly in cases with three copies. FISH identified two cases with entire deletion of chromosome 10, but did not identify a focal deletion of PTEN. Five cases with PTEN deletion and duplication of the second allele by SNPA were interpreted as normal by FISH. Concordance between FISH and MLPA was seen in 15 cases with two copies, and in two cases with PTEN deletion. Six cases were interpreted as amplified by MLPA, but showed polyploidy by FISH. FISH was superior to SNPA and MLPA in assessing the tumours with diverse cell populations with different PTEN copies. Conclusions: The results show good concordance between FISH, SNPA and MLPA. SNPA was superior in tumours with deletion of one copy and duplication of the second allele. FISH was superior in assessing tumour heterogeneity.The study was supported by a research agreement with Dako, Denmark. The research team was also supported by grants FIS PI100922, Fundacion Mutua Madrilena AP75732010, 2009SGR794, RD12/0036/ ~ 0013, Fundacion Asociaci on Espa nola contra el Can- ~ cer, Programa de Intensificacion de la Investigaci on, Instituto Carlos III, Verelst Baarmoederkankerfonds, Leuven, and ENITEC (European Network for Individualized Treatment of Endometrial Carcinoma). F. Amant is senior researcher for the research fund Flandersb (FWO). Tumour samples were obtained with the support of Xarxa Catalana de Bancs de Tumours, and Plataforma de Biobancos ISCIII (PT13/ 0010/0014)