Cloud Computing Projects

opportunity

Yorkshire Data Scraper

We are looking to purchase or commission an up-to-date, high-quality B2B marketing database covering Yorkshire and surrounding areas The data will be used to market Material Handling Equipment, Forklift Trucks, Warehouse Equipment, Scrubber Dryers and Industrial Sweepers, so the data must be relevant to companies with factories, warehouses, depots, production sites, industrial premises or operational facilities We are not looking for a basic scraped company list. We require verified, marketing-ready data with named contacts and valid emails wherever possible Include companies located in the following postcode areas: BB, BD, BL, HG, LS, HX, HD, WF, DN, S, SK The address should relate to the actual trading, manufacturing, warehouse, depot or operational site, not just a registered office address where possible. Include companies in the following sectors: 10 – Manufacture of food products 11 – Manufacture of beverages 13 – Manufacture of textiles 14 – Manufacture of wearing apparel 15 – Manufacture of leather and related products 16 – Manufacture of wood and products of wood and cork, except furniture 17 – Manufacture of paper and paper products 18 – Printing and reproduction of recorded media 19 – Manufacture of coke and refined petroleum products 20 – Manufacture of chemicals and chemical products 21 – Manufacture of pharmaceutical products and preparations 22 – Manufacture of rubber and plastic products 23 – Manufacture of other non-metallic mineral products 24 – Manufacture of basic metals 25 – Manufacture of fabricated metal products, except machinery and equipment 26 – Manufacture of computer, electronic and optical products 27 – Manufacture of electrical equipment 28 – Manufacture of machinery and equipment n.e.c. 29 – Manufacture of motor vehicles, trailers and semi-trailers 30 – Manufacture of other transport equipment 31 – Manufacture of furniture 38 – Waste collection, treatment and disposal activities; materials recovery 41 – Construction of buildings 52 – Warehousing and support activities for transportation We want to focus mainly on companies with 1–199 employees Please include employee banding, for example: 1–10 11–25 26–50 51–100 101–199 200+, only if highly relevant For every company, we require the following where available: Company type/industry Company name SIC code Website Employee banding Site address split into address line 1, line 2, line 3, town/city, county and postcode Postcode area Company telephone number Company LinkedIn page Date verified Contact Requirements We require named decision-maker contacts wherever possible. Priority contacts include: Operations Manager Warehouse Manager Purchasing Manager Procurement Manager Facilities Manager Site Manager Production Manager Logistics Manager Managing Director Director General Manager For each contact, please provide: Contact name Job title Direct email address Generic email address, only where no direct email is available Email type: Direct or Generic Email validation status Landline number Direct dial, where available Mobile number, where available Contact LinkedIn profile Date contact was last verified Email Quality Requirements Valid, up-to-date emails are essential. Direct business emails are strongly preferred. Generic emails should only be used where a verified named contact email cannot be found. Please separate direct and generic emails into separate columns. Do not mix them in the same field. We do not want large volumes of guessed, invalid, risky or unverified email addresses. Please confirm what email validation method or tool has been used and include the validation result in the data. Acceptable generic emails, only where direct contacts are unavailable, may include: info@ sales@ enquiries@ purchasing@ procurement@ operations@ Please do not include personal email addresses such as Gmail, Outlook, Hotmail or Yahoo. The data must be: Recently verified Relevant to the requested postcode areas Relevant to the requested industries Deduplicated Suitable for B2B marketing use Free from dormant or dissolved companies Free from irrelevant businesses Focused on genuine operating companies Accurate and cleanly formatted Please do not apply if you are only able to provide basic scraped Companies House data without named contacts and verified emails. Before placing the full order, please provide a sample of 50–100 records. The sample should include a mix of postcode areas, sectors, employee sizes, direct contacts and generic contacts where direct emails are unavailable. The sample will be checked for relevance, accuracy, direct email quality, duplicate records, address quality and suitability for marketing material handling and floor care equipment. We expect there to be over **2,500 companies** matching the requested criteria. Please provide an estimated breakdown by: Postcode area Industry / SIC code Employee banding Number of direct contacts Number of generic contacts Number of validated emails

Seeking a Seasoned Low Latency HFT Engineer

• Connects directly to Interactive Brokers via API. • Monitors authorized signal providers or trading strategies. • Uses artificial intelligence to analyze financial news and market sentiment. • Executes futures trades automatically. • Provides advanced risk management and real-time monitoring. • Supports scaling across multiple trading accounts. Core System Requirements Interactive Brokers Integration • Full integration with IBKR API. • Real-time market data access. • Automated order execution. • Support for futures, equities, ETFs, and options. • Position monitoring and account synchronization. • Trade audit logs. Signal Replication Engine • Monitor approved signal feeds. • Detect position openings and closures. • Replicate positions automatically. • Adjustable trade sizing. • Multi-account support. • Real-time synchronization. AI Market Intelligence Engine • Financial news aggregation. • NLP sentiment analysis. • Economic calendar monitoring. • Market-impact scoring. • Trend analysis. • Event-driven trading filters. Automated Execution System • Market orders. • Limit orders. • Stop orders. • Bracket orders. • Position scaling. • Dynamic order routing. Risk Management Framework • Maximum daily loss limits. • Maximum drawdown controls. • Position-size limits. • Exposure limits. • Volatility filters. • Automated trading shutdown protocols. • Trade validation engine. Analytics and Dashboard • Real-time account monitoring. • Performance metrics. • P&L tracking. • Trade history. • Risk analytics. • Strategy performance reporting. • Mobile-friendly dashboard. Preferred Technical Skills Required: • Python • Interactive Brokers API (IBKR) • Quantitative Finance • Algorithmic Trading Systems • REST APIs • Database Development Preferred: • Machine Learning • Artificial Intelligence • Natural Language Processing • Financial Market Data Systems • Cloud Infrastructure • Docker • Kubernetes • Linux Server Administration Deliverables Phase 1 • System architecture • Technical specifications • Development roadmap Phase 2 • IBKR integration • Automated execution engine • Risk management framework Phase 3 • AI news and sentiment analysis engine • Signal replication module • Monitoring infrastructure Phase 4 • Dashboard development • Testing and optimization • Deployment and documentation Performance Expectations • Reliable automated execution. • Stable operation during market hours. • Low-latency order routing through Interactive Brokers. • Comprehensive risk controls. • Scalable architecture. • Secure and maintainable codebase. Important Notes The platform must comply with all Interactive Brokers policies, exchange rules, and applicable financial regulations. The system should be designed with a primary focus on reliability, risk management, transparency, and long-term scalability.