Energiewerks’ Ensights Toolkit, streamlines and automates analytics processes for energy traders, delivering concise, accurate and appropriate market insights to the right people at the right time.

Energiewerks Ensights is an autonomic analytics system for small predictive analytics and reporting projects providing the robustness and resiliency of enterprise systems, coupled with Excel like analytics flexibility and agility, in a single platform focused on generating actionable insights.

The toolkit spans data, infrastructure, process and technology associated with acquiring, preparing and storing data specific to a commodity, analyzing and visualizing that data and then disseminating it to relevant stakeholders at the appropriate time.

Energiewerks Ensights is used by lean hedge funds, upstart, small or medium-sized trading firms for analytical needs that span fundamental analysis, pricing tools, execution technology, trade capture, mid and back office functions.

These analytical tools are comparable to capabilities at some of the large merchant trading houses and investment banks, albeit at a lower price point, yet using a platform that will scale with business growth.

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About us

Ensights analytics toolkit

Energiewerks Toolkit Overview

Data

Data components of the toolkit are used to retrieve public, proprietary and internal data sources then blended and assembled into a combination of SQL / NoSQL data stores.

Infrastructure

Outsourced, cloud based or turnkey on premise architectures for deploying the toolkit in public / private clouds or in house server infrastructure.

Technology

Data wrangling, analytic and visualization packages using best of breed advanced technology that can be extended to incorporate new evolutions in analytic technology and leverage existing investments.

Process

Business processes optimized around data, infrastructure and technology components for analytics. Use cases span acquisition, preparation, analysis and visualization of large amounts of data.

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Ensights analytics process

ensights-analytical-process

Acquire

Retrieve public, proprietary and internal data from structured and unstructured sources. Data conversion from a diverse set of formats in to SQL and No SQL databases. Tools to rapidly generate proprietary internal datasets.

Prepare

Data wrangling of multiple very large data sets, Normalization and annotation of data for analysis purposes. Blending of multiple data sets in to derived proprietary data sets tied to specific used cases.

Analyze

Analysis of the very large data sets. Model selection using various techniques using mathematical, numerical and statistical techniques. Timely ongoing validation and calibration of models.

Visualize

Visualization of results generated by models. Innovative concise presentation of very large amounts of data. Various reporting mechanisms such as periodic automated pdf reports, blog posts, enterprise integration using messaging mechanisms.

Disseminate

Dissemination of reports, digital artifacts such as graphs, tables and narratives via various toolkit mechanisms such as micro applications framework, pdf files, csv files, database integration, JSON, XML, self serve tools, blogs, integrations with Slack and HipChat, web services and integration with enterprise applications .

Operationalize

Business processes that incorporate tools in acquire, prepare, analyze, visualize phases in support of specific use cases coupled with infrastructure, data and technology running autonomously on a schedule or on occurence of particular events.

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Energiewerks trade lifecycle services

Fundamentals

 Supply and demand, price forecasting using quantitative techniques and supervised and unsupervised machine learning.

Technicals

Technical and statistical time series analysis of prices and derivative contracts to identify mispricings in the market.

Valuation

 Real time pricing and valuation tools for market makers, speculators, traders, risk , mid and back office personnel.

Execution

Exchange integration and straight through processing tools for trade flow in to enterprise and proprietary systems.

Risk

 Market Risk – P&L , P&L Explain, Value at Risk, Earnings at Risk, Cashflow at Risk, Stress testing, Scenario testing.  Credit Risk – Collateral Management, Potential Future Exposure, Risk Scoring

Operations

 Commodity specific tools for scheduling, balancing, actualization and reporting processes.

Settlements

 Tools for valuation, invoicing, reconciliation and  dispute resolution.

Back Office

 Accounting and treasury functions.

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Commodities coverage – Energy

Natural Gas

Tools , processes and services for each of the functional areas around trading of financial and physical natural gas.

Weather

Proprietary weather indices and forecasts used by natural gas , renewables, weather and electricity derivatives traders across the lower 48.

Crude Oil

North America (Nymex) centric trading of financial crude oil contracts.

Heating Oil

North America centric trading of financial heating oil contracts.

Gasoline

North America centric trading of gasoline ( RBOB/NYOH and Gulf Coast) gasoline contracts.

Economy

Macroeconomic indicators such as industrial production, currency fluctuations and interest rates that affect energy complex.

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Technology consulting services

Analytics

 Fundamental, technical, pricing, valuation, market risk, credit risk and compliance analytics using proprietary tools and techniques.

Implementation

Solution design and implementation around existing investments and platform across some or all of the functional areas in the trade lifecycle.

Outsourcing

 Streamline business processes leveraging data, infrastructure and technology platform.

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“I had the pleasure of working with the quantitative analysis and data science team. They were invaluable in supplementing our internal analysis team.  They provided keen insight into natural gas market fundamentals. Add to that a clear picture of broader macro-economic issues that affects natural gas markets. Their information technology expertise was a great bonus considering the many tools EnergieWerks created that were leveraged by portfolio managers across the organization.”

Sajjad Khan, Portfolio Manager, Noor Capital

“Energiewerk’s models have a way of making complex problems simple, understandable, easy-to-use, robust and reliable.  The models are used company wide by analysts who have little to no programming experience and those models never break down.  EnergieWerks quantitative analysts built those models from scratch in a very cost effective manner. Additionally, their expertise in information technology and numerical programming tools allow them to build models for institutional investor and trader needs.”

Tony Franjie, Natural gas and crude oil fundamental analyst and trader, Lochridge

Market Insights

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