Polynomial regression ninjatrader Jobs

Hallo Sara, Hast du gute Erfahrungen mit Stata? Ich bräuchte Unterstützung im Rahmen einer Paneldaten Regression für meine Masterarbeit Danke

Alle Daten sind gesammelt. Fehlermeldungen bei gewisen Werten (=LN). Niedriger Bestimmtheitsmaß bei der Regression. Bräuchte Unterstützung bei Grafiken und multiple linear regression

Für eine Wirtschaftswissenschaften und empirische Arbeit benötige ich Unterstützung. Es geht dabei um das Testen von Restriktionen in Bezug auf eine lineare Regression mit Hilfe der Wald Test Statistik und die Durchführung in R. Vor allem aber um die Durchführung des Wald Test im Zweifel auch unabhängig von R. Ich würde mich sehr freuen, wenn mir dabei weiterhelfen könnte.

ein Backtesting-Programming für Ninjatrader, alt. für Tradestation soll erstellt werden

Ich brauche ein Indicator der mir das Volumen in ClusterBars darstellt. Ein Beispiel Bild habe ich hochgeladen. Dabei möchte ich auch das POC (meistgehandeltes Volumen in einer Kerze) sehen und darauf auch später im Strategy Builder zugreifen können. Es ist also das Volumen dargestellt auf der Preisachse

...Buches und auch noch drei weitere Punkte, moment die kopiere ich dir aus einer Mail Ich hätte noch drei Wünsche: Technologische Umsetzung: Bitte etwas detaillierter. Der Leser soll die groben mathematischen und informatischen Eckpfeiler/Konzepte kennen. Beispiel: Machine Learning: Ziel? -> Informationsgewinnung aus großen Datenmengen durch zwei wesentliche Konzepte: 1. Supervised Learning (Regression, Classification) Was ist das?-> Nicht zu detailliert, aber verständlich erklären, was bei diesen Konzepten gemacht wird. 2. Unsupervised Learning (Clustering, Dimensionality Reduction) Was ist das? … Und wichtige Statements/Information: Hier z.B: ->Supervised Learning findet heute deutlich größere Anwendung in der Wirtschaft, a...

Für ein Projekt muss ich einen Datensatz in R analysieren. Es geht um den Datensatz "saving" aus der library "wooldridge". Es muss sich um lineare Regression handeln und die Forschungsfrage beantwortet werden "welche Faktoren beeinflussen die jährliche Sparrate?" Das Regressionsmodell muss am Ende auch mit entsprechenden Tests bewertet werden. Es geht hier nicht nur um den R-Datensatz, sondern dies in ca. 1500 Wörtern zu dokumentieren, das Vorgehen etc. Ich brauche es bis spätestens 27.02. BITTE NUR DEUTSCHSPRACHIGE FREELANCER

Ich muss einen Datensatz in R analysieren und leider fehlt die Zeit dazu. Die Forschungsfrage ist "Welche Faktoren beeinflussen die jährliche Sparrate?" Datensatz ist "data" aus der library "wooldridge" in R. Es muss eine lineare Regression sein, es müssen Visualisierungen vorhanden sein (Histrogramme, Streudiagramme), ein Modell (incl. Formel) und Güte - Tests des Modells (Jarque-Bera, etc.)

'Hallo, es geht um statitische Auswertung. Es handelt sich um Wahlforschung und den kumulierten Vor und Nachwahlquerschnitt der GLES. (Siehe Anhang) dabei soll mittels binärer logistischer Regression geprüft werden wie die Wählergruppen von jeweils CDU und SPD sich im Hinblick auf ihre Themenorientierung Ihre Kandidatenorientierung (jeweils mit 4 Eigenschaften) unterscheiden. Diese Faktoren auf Ihre Veränderung unter Einbeziehung von Mediennutzung und politisches Interesse und Geschlecht kontrolliert werden. Die Modelle sollen jeweils einzeln ausgewiesen sein damit man die Veränderung nachvollziehen kann. Dazu benötige ich die SPSS Syntax Datei. Die Ergebnisse sollten wie fachspezifisch üblich mit Wahrscheinlichkeit und Standartfehler ...

...sollen 56 verschiedene API´s von verschiedenen anbietern angebunden werden. Hauptsoftware an die angebunden werden soll: - Xtrader Pro V7 - New TT Web Plattform Xtrader von TTnet stellt die Xtrader API zur Verfügung, welche zu vielen weiteren Handelsprogrammen konform ist, aber leider nicht zu allen! Folgende Handelsprogramme sollen mittels API an Xtrader angebunden werden: - Ninjatrader 7 - MultiCharts - Metatrader 5 - TradingView - MarketDeltaCloud - Motive Wave Special Pricing - SierraChart - CQG QTrader - R | Trader Pro - CQGM Mobile - VolFix - MarketDelta Trader - Zlantrader - R | Trader - CQG Trader - AMP Webtrader - Velox Pro - ATAS (Advanced Time and Sales) - Trade Navigator - Investor/RT - Agena Trader - iBroker - Qscalp ...

Erklärung eines Zusammenhanges. Theorie steht, Inhalt steht, Abfolge steht, ich schaffe es nur nicht zeitlich mich noch einmal mit SPSS zu beschäftigen und das programm zu bezwingen. eigentlich weiß ich wie es geht, aber gut. Irgendwas ist hier kaputt. Variablen und Zusammenhänge sind klar, es ginge lediglich um den SPSS Syntax bzw Output einer bivariaten und multivariaten regression mit ols Regression. Mittelwert zentrierte Variablen und den ein oder anderen Index. Wäre so gesehen mehr hilfestellung als komplettes ghostwriting einer arbeit. Ich hoffe das ist nicht zu wenig arbeit für sie und Sie können mir helfen. Zeitlicher Aufwand für jemanden mit genug SPSS Erfahrung sollte nicht mehr als 1-2h betragen, Zeichen oder Menge.... ...

Ich habe laufende Arbeiten, die sich auf unser letztes Projekt beziehen 'modify ninjatrader indikator'

Ich habe laufende Arbeiten, die sich auf unser letztes Projekt beziehen 'Create NinjaTrader Level2 Indikator'

Verallgemeinerung der linearen Regression, soll ca. 40 Seiten sein.

Verallgemeinerung der Linearen Regression (Lineare Regression y1,...yn allgemeine Beobachtung sollen mit wenigen Variablen erklärt werden)

Hallo, ich benötige einen Entwickler, der in der Lage ist 4-5 verschiedene Setups (klare Regeln, Einstieg, Ausstieg zum Time-Exit, Stopp) in der Software Ninjatrader als automatisches Handelssystem zu entwickeln. Jedes Setup arbeitet individuell in unterschiedlichen Märkten, Zeiten und Regeln. Beispiel für 1 Setup (konkreter und weitere Setups später): - Analyse der Vormittagsrange in einem Markt - ist die Range < 30 Ticks (Beispiel) - dann soll zu einem festen Zeitpunkt 1 Tick über und unter der Range eine Stop-Buy / Sop-Sell Order reingelegt werden - Bei Ausführung auf einer Seite, soll die Kontraktanzahl verdoppelt werden (einmalige Drehung des Trades & gleichzeitiger Stopp für Ursprungstrade) - bei Drehung des Trades soll mit...

I'm in need of a skilled data analyst to conduct a thorough regression analysis using panel data in R. The primary goal is to understand the impact of one variable on another within a dataset that includes between 6-10 variables. Key Project Requirements: - Utilize panel data: Experience in handling panel data is a must for this project. The ability to understand the nuances of this data type will be crucial for accurate analysis. - Regression Analysis: In-depth knowledge of regression analysis is required, especially in the context of panel data. The ability to extract meaningful insights and estimate the impact of one variable on another is the core task. - Data Interpretation: The successful freelancer will be able to provide clear, concise interpretations of...

...medicine. I have 2 Excel datasheets already prepared for SPSS induction containing about 20 variables. The first dataset contains the measurements for the control group (14 patients) and the second dataset contains the measurements for the disease group (29 patients). I need to analyze the data to find any meaningful differences between the 2 groups (comparing means, using t and x square test, regression analysis etc when applicable) Key Project Details: - Data: The data has been meticulously prepared for SPSS induction and contains approximately 20 variables. - Analysis: - I'm particularly interested in inferential statistics to identify relationships or differences between variables. - Additionally, a correlation analysis is needed to understand the strength and...

I'm in need of a skilled statistician with expertise specifically in regression analysis, particularly with survey data. The dataset I have comprises between 10-20 variables that need to be analyzed in a regression framework. Key Points: - Crombach Alpha testing - Factor analyses - Regression Analysis: You should have a deep understanding and experience in applying regression analysis to survey data. - Survey Data: Experience with survey data is crucial as the analysis needs to be tailored to this type of dataset. - Variable Management: Managing a dataset with between 10-20 variables is a specific skillset. Ideal Skills: - Proficiency in Regression Analysis - Experience with Survey Data - Proficient in Variable Management and Analysis Your abili...

...data set, I need a professional who can help with a multiple regression analysis. Key Requirements: - Ability to conduct a large-scale regression analysis using cross-sectional data - Experience in identifying key variables in regression analysis - Proficiency in data interpretation and providing meaningful insights from the analysis Your role will be crucial in interpreting and understanding the data to identify these key variables. This will involve the use of statistical tools and an in-depth understanding of regression analysis. It's important to note that due to the extensive nature of the data set, the analysis will require a high degree of accuracy. Ideal Skills: - Strong statistical background - Proficiency in regression analysis - Ex...

...data and intraday data to predicting future values. The overall goal is to be able to evaluate investment opportunities better. Ideal Skills & Experience: - Familiarity with Python is a must, as this will be the primary language used - Proficiency in regression models, LSTM , as the chosen Machine Learning model - Experience working with stock price data analysis and forecasting - A proven record in Machine Learning project Project Requirements: - Develop a python software that can ingest and analyze historical stock price data - Apply regression models to draw predictive insights about future stock prices - Prioritize accuracy in the predictive model - Clear presentation of the results, identifying potential investment opportunities Looking forward to working with...

I'm in need of a statistical analyst proficient in Factor Analysis, Logistic Regression, and Mediation. The project involves analyzing data to identify underlying factors, predict outcomes, and assess mediation. Ideal Skills & Experience: - Proficiency in Factor Analysis, Logistic Regression, and Mediation is a must. - Experience in analyzing different types of data (e.g., survey responses, sales data, experimental data) is preferred. - Familiarity with handling datasets of varying sizes. Please note that the questions regarding data specifics and sample size were skipped, so I'll provide these details once we're in touch. The project is time sensitive, so a quick turnaround is appreciated. Thank you.

...to both track and predict water clarity. This requires a combination of machine learning expertise and the use of optical satellite data. Key Responsibilities: - Utilize optical satellite data to track and predict water clarity - Apply random forest and multiple linear regression models to analyze the collected field samples - Develop a robust system for ongoing tracking and prediction of water clarity Ideal Skills and Experience: - Proficiency in machine learning, particularly random forest and multiple linear regression - Experience working with optical satellite imagery - Strong data analysis and model development skills - Background in environmental science or a related field is a plus - Ability to create and implement a system for continual tracking and prediction ...

I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experi...

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I'm fairly new to R, but need to apply linear regression to predict an outcome. I'd be grateful to work with someone who can guide me through this process. Ideal skills: - Expertise in R - Profound understanding of Linear Regression Experience: - Previous projects involving regression analysis - Proven results in predicting outcomes using R

Bayesian linear regression plot; svd for principal component plot. please check the attached file and let me know if you can do them perfectly

I'm looking for a skilled developer to build an addon for NinjaTrader 8. This project entails creating an addon with capabilities for trade automation in accordance with specific trading rules I've established. Here's what I need: - Trade Automation: The add-on should fully automate trading processes that adhere to my provided rules. - Familiarity with NinjaTrader: Ideally, you should have previous experience with NinjaTrader platform, specifically NinjaTrader 8 version, or have confidence in your ability to quickly learn and work with it. In your bid, please indicate your experience with NinjaTrader 8 and creating addons or features for trade automation. I look forward to seeing proposals and hopefully working with one of you soon. *Ca...

I'm in need of a Machine Learning Engineer who can migrate our models from RStudio to AWS Sagemaker. Your task will be to: - Understand the Rstudio models I have running locally. It is one Rstudio logistic regression model with several other codes for the data transformation part-, all in Rstudio. R. - Migrate The Rstudio models to AWS SAGEMAKER. Data will be on S3. -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills an...

We are looking for an experienced NinjaTrader addon developer to create a custom addon that automates the process of closing positions based on predefined profit and loss thresholds. The addon should monitor the total profit/loss across all open positions and trigger automatic closure of positions once specified thresholds are reached. We require the flexibility to set custom target profit and loss levels according to our trading strategy. The developer should have expertise in NinjaScript programming and a strong understanding of financial markets. If you have the skills and experience to deliver this addon efficiently, please bid with your proposal. Thank you.

I need an experienced Ninjatrader 8. The selected developer must have to be experienced and good skill for communication. This project is urgent and I need someone who can deliver quality work under a tight time frame. You should have extensive experience in Ninjatrader 8. The developer will must have to be a good communicator. This is a long term corporation

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I'm working on an academic project that requires advanced statistical analysis. I need assistance with regression analysis and hypothesis testing. The statistical analysis is for an academic project, so I need someone who has a deep understanding of these methodologies. For the documentation, a comprehensive and professional LaTeX documentation is needed. It should include advanced formatting, custom LaTeX macros, and complex mathematical formulas. Ideal Skills: - Proficiency in regression analysis and hypothesis testing. - In-depth knowledge of LaTeX, particularly in advanced formatting. - Experience in academic projects is a plus. ***It consists of 6 advanced statistics questions and you are expected to write their detailed solutions in latex.

... each dataset should have its own table. Database and table creation and data insertion can be done either with the `sqlite3` package or with `Pandas`. Both SQLite and `sqlite3` come with Python. **Machine Learning Models** For each dataset you should train, evaluate, and save a machine learning model: - one model should be for a *classification* problem - the other model should be for a *regression* problem - Group of 3: you should have 2 of one type A *validation* dataset must be used to either select between models, or to choose between hyperparameter values of a single model. A *test* dataset must be used to evaluate the performance of the final chosen model. **Website** The final models should be presented to an end-user through a website. (Deployment need only be t...

I need a proficient data scientist with a strong understanding of linear regression and time series analysis to build a model from company sales data. Key Requirements: - Creation of a Linear Regression Model: The primary objective of the model will be to predict sales trends based on past data. - Time Series Analysis: The model should effectively incorporate this to help me understand how sales are changing over time. The ideal freelancer for this job would possess: - Proven expertise in data science, particularly in building predictive models. - Strong command of R, as the model should be developed in this language. - Experience in working with time series data and analysis. If you are confident in your data science skills, especially in the context of predictive sal...

Objectives: To develop a model that predicts housing prices based on various features such as location, size, amenities, etc. Data Set Link: Kaggle: House Prices - Advanced Regression Techniques () Analysis Tools/Programming Language: Python, Pandas, Scikit-learn Final Outcome: A predictive model that accurately estimates housing prices. follow a step-by-step process to create ML models predicting housing prices, create heatmaps of different features to find the most correlated feature and apply several ML models on the dataset, make an evaluation metric comparing the different models based on precision, accuracy, R2 score, etc. and present the result in easy to understand ways. send me all the codes so that it can be

Chemical Regression Analysis of Chemical Molecules to predict the molecules charges.

I am looking to analyze the relationship betwee...adhering to Scottish dietary goals influences mental health scores - The mental health score is calculated via Wembys and GHQ12 in the said survey. Ideal Skills and Experience: - Previous experience with health-related data analysis is an advantage - Strong understanding of different statistical methods. There wasn't a specific preference, but demonstrating capability in Correlation Analysis, Regression Analysis, and/or T-Test Analysis could impact selection chances. This project is not just about crunching numbers but expected to unravel meaningful insights which can bring valuable influence on health and food policies. I look forward to working with passionate, diligent professionals who care about the real-world impact of ...

...highly skilled data scientist with a strong background in linear regression, social network analysis, time series analysis, and web visualization. My project involves identifying potential future trends by leveraging data science techniques. Your role would include: - Applying your expertise in linear regression and time series analysis to predict future trends based on historical sales data. - Implementing social network analysis to understand the societal impact and potential market of these trends. - Utilizing web visualization to present these results in a simple and understandable way. Ideal candidates will have: - Prior experience with predictive modelling. - Extensive background in time series analysis and linear regression. - Proficiency in social network...

Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients. Prompt You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with prep...

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...knowledgeable in statistics to test an existing Python code. This code is designed to perform a range of statistical and probability calculations. Key Requirements: - The code should be thoroughly tested and debugged to ensure it functions correctly - The code should be capable of performing complex statistical and probability calculations, such as: - Descriptive statistics - Hypothesis testing - Regression analysis - Probability distributions - Conditional probability - Bayesian inference Ideal Skills: - Expertise in Python programming - Strong background in statistics - Experience with statistical libraries in Python (e.g., NumPy, SciPy, Pandas) - Attention to detail and ability to debug code effectively - Strong problem-solving skills and the ability to troubles...

The project comprises 6 regression models (linear, logistic, and moderation) based on a set of dependent and independent variables. I need someone with good knowledge of statistics to operate a dataset, make log transformations in the data, and give me the regression analysis results in an Excel spreadsheet.

I am in need of the expertise of a machine learning professional to develop versatile classification models including Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model. The goal is to predict NHL game results. Key aspects that need consideration are: * Team and player statistics. Required skills and experiences: * Proven track record in Machine Learning, specifically in the creation of classification models (Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model). * Expertise in sports data analysis, particularly in the NHL. * Strong knack for accurate prediction success rate. * Able to provide a comprehensive report comparing the model results. In your proposal, please share...

I am looking for a skilled Data Science professional who can create beginner-level training projects in Machine Learning using Python. Key Project Details: - Topics: The projects should cover a range of basic Machine Learning concepts and techniques, and be suitable for beginners. Examples include linear regression, decision trees, and clustering. - Programming Language: Python is the preferred language for these projects, so a strong proficiency in Python is essential. Ideal Skills and Attributes: - Proven experience in Data Science and Machine Learning. - Excellent command of Python. The aim of these projects is to provide students with hands-on experience and a solid foundation in Machine Learning using Python.

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I'm looking for an expert in Python, C# and machine learning, preferably with a background in options trading. The main goal of this project is to blend machine learning with options trading strategies. Key Responsibilities: - Develop machine learning models: I'm aiming for a basic level of complexity, such as linear regression and decision trees. - Code in Python and C#: You should be proficient in both languages, as the software will be primarily in Python, but will also need to interface with C#. Ideal Candidate: - Proficient in Python and C#. - Experience in developing machine learning models, especially in the realm of options trading. - Able to handle the complexity of blending machine learning with trading strategies.

We are looking for an experienced NinjaTrader addon developer to create a custom addon that automates the process of closing positions based on predefined profit and loss thresholds. The addon should monitor the total profit/loss across all open positions and trigger automatic closure of positions once specified thresholds are reached. We require the flexibility to set custom target profit and loss levels according to our trading strategy. The developer should have expertise in NinjaScript programming and a strong understanding of financial markets. If you have the skills and experience to deliver this addon efficiently, please bid with your proposal. Thank you.

We are looking for an experienced NinjaTrader addon developer to create a custom addon that automates the process of closing positions based on predefined profit and loss thresholds. The addon should monitor the total profit/loss across all open positions and trigger automatic closure of positions once specified thresholds are reached. We require the flexibility to set custom target profit and loss levels according to our trading strategy. The developer should have expertise in NinjaScript programming and a strong understanding of financial markets. If you have the skills and experience to deliver this addon efficiently, please bid with your proposal. Thank you.

This project seeks a highly qualified professional with extensive experience in econometrics and statistical regression modeling, particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques, both with sample selection adjustments. OBJECTIVE 1.) Determine the impact of various characteristics of workers on their wage in the Sectors (regular and casual separately) using the BEST sample selection adjustment technique along a conditional quantile regression model, and then decompose the gender wage gap (between males and females) with the same sample selection adjustment technique using Melly’s Machado-Mata decomposition for regular and casual separately. 2.) Dete...