JobTracker

I want a small utility that reads my purchase and sales transactions, applies strict FIFO logic, and spits out a neatly formatted stock balance just like the sample below: Date Voucher Qty Rate 01-Apr Purchase 001 10 100 05-Apr Purchase 002 5 110 10-Apr Purchase 003 8 120 Sales in the period: 12 Expected remaining-stock view: Voucher Remaining Qty Rate Purchase 002 3 110 Purchase 003 8 120 Key needs • FIFO calculation must be exact, even when sales span multiple purchase lots. • The finished report has to arrive as a plain tcp/txt file; if it’s easier to generate in Excel or CSV first and then export, that’s fine as long as the final deliverable is the txt version. • Layout and column order should mirror the sample so I can copy-paste straight into my existing workflow. You’ll receive the raw data as a simple table (date, voucher, qty, rate, and a type field indicating purchase or sale). Send me back either: 1. a lightweight script (Python, VBA, or similar) with clear instructions, or 2. the one-off processed report plus brief notes so I can rerun it later. I’ll test by feeding a fresh data set and checking that the remaining quantities and cost layers line up with manual calculations. Once those numbers match, the job is complete.

I have several Excel/CSV files that combine text fields, numbers and the occasional code column. Before I can feed them into my reporting workflow they need a thorough tidy-up. Here’s what I need from you: • Identify and remove every duplicate record across the full set of files. • Spot and correct obvious data entry errors—misspelled text labels, misplaced decimal points, transposed characters, faulty dates, and similar issues. Missing-value treatment is not required; I already have a routine for that, so you can leave blanks untouched. You are free to work in Excel, Google Sheets, Python (pandas), R, or any other tool you trust, as long as the final deliverable is returned to me as clean CSV/Excel plus a short log outlining what you changed and how you caught it. I’ll review by running my validation script against the cleaned files; zero duplicates and consistent field formats will be the acceptance criteria. Feel free to ask questions up front—the smoother we communicate, the faster we finish.

I need a flexible options screener capable of rapidly filtering live option chains and exporting results for alerts or further analysis. Key requirements: • Customizable Filters – I want to filter and sort option contracts based on custom logic (I will provide the scanning criteria) and parameters such as OI change, volume change, days to expiry, and implied volatility (IV/IVP). It should also allow for the addition of new metrics later without rewriting the entire program. • Asset-Class Agnostic – The screener should work by default for index options (NIFTY, BANKNIFTY, FINNIFTY, SENSEX) and equity options but should be adaptable to other markets (provided my data provider supports them). • Clean and Simple Interface – A lightweight web dashboard or an Excel/Google Sheets front-end would be ideal; it must be fast and allow for immediate changes to the criteria. • ​​Reliable Data – Please integrate a primary options API for my broker (UPSTOX) and structure the code so that I can switch providers simply by editing a configuration file. • Output – The filtered list should be visible on the dashboard, downloadable as a CSV, and capable of sending alerts via Telegram. Additionally, a brief summary (Greeks, Bid/Ask, Open Interest, IV, IVP, etc.) should be displayed on the screen. Acceptance Criteria 1. The screener must have the capability to auto-load the current day's option chain in real-time, apply multiple filters simultaneously, and deliver results within microseconds without buffering. 2. Adding a new filter via configuration or script edits should not disrupt existing functionality. 3. Clear setup notes so I can run the screener again on another machine using the same API key. 4. I will conduct a 2-day live market test to ensure it works perfectly and does not generate false signals. Please keep the code modular (Python, Node, or any other mainstream language), include comments in key sections, and provide a brief README upon completion.

I’m building a web-based application that hinges on a robust Cursor-powered AI component, and I need a sharp mind to craft the model from the ground up. Your main responsibility is to translate the problem statement into a clear-cut architecture: define the data requirements, select or recommend the right algorithms, outline training and validation workflows, and document the reasoning so implementation later on is seamless. Because this project is browser-facing, please keep scalability and latency in mind—what you design has to fit neatly into a modern web stack and remain friendly to future DevOps pipelines. I’m comfortable handling code once the blueprint is solid, so I’m looking specifically for help with: • Choosing an appropriate model family and justifying trade-offs • Sketching data preprocessing steps and feature engineering ideas • Defining evaluation metrics and an iterative improvement plan • Delivering a concise technical specification (diagrams, pseudo-code, and any relevant research links) If you’re fluent in Python and familiar with frameworks like PyTorch or TensorFlow—and you have a track record of designing production-grade models for web products—let’s talk.

Need Expert Python Developer for Zerodha Kite Connect API & Stock Market Automation Professional Requirement Post / Freelancer Brief Mujhe ek experienced Python Developer chahiye jo Zerodha Kite Connect API ko Python ke through connect karke ek automated stock market data system develop kar sake. Project Requirement: Developer ko aisa Python program banana hoga jo India ke stocks ka data daily fetch kare aur Excel sheet me automatically save kare. System me ye data chahiye: Daily Data Previous trading day Open High Low Close Weekly Data Current/previous week Open High Low Close Monthly Data Current/previous month Open High Low Close Excel Output Har stock ka data ek Excel sheet me clean format me mile Columns properly arranged hon Daily, Weekly aur Monthly OHLC data same file me ho File daily auto-generate/update ho Automation Script daily market close ke baad automatically run ho Data Zerodha Kite Connect API se fetch ho Error handling ho Agar kisi stock ka data missing ho to system skip/error log maintain kare Deliverables Complete Python source code Excel output format Setup guide Required libraries list Zerodha Kite Connect API setup instructions Daily automation setup, Windows Task Scheduler ya cloud/server par Basic documentation Required Skills: Python Zerodha Kite Connect API Pandas Excel automation using OpenPyXL/XlsxWriter Stock market historical data handling API integration Error handling and logging Automation scheduling Preferred Experience: Aise developer ko preference milegi jisne pehle stock market scanner, Zerodha API, historical data fetching ya Excel automation ka kaam kiya ho. Final Output Example: Excel me format kuch is tarah hona chahiye: Symbol Daily Open Daily High Daily Low Daily Close Weekly Open Weekly High Weekly Low Weekly Close Monthly Open Monthly High Monthly Low Monthly Close Budget: ₹_____ Timeline: _____ days Work Type: One-time project Communication: WhatsApp / Call / AnyDesk support required if needed Interested developers apna previous similar work aur estimated cost share karein.

I’m building a small, focused tool that automatically fixes colour issues in product photos so the final images look true-to-life on any screen or marketplace. The entire aim is straightforward: take an existing shot, analyse its colours, and return a new file whose tones and white balance match the real product without introducing artefacts or noise. Here’s what I need from you: • An algorithm or lightweight script (Python, OpenCV, or your preferred stack) that detects colour cast and applies accurate correction in a single pass. • Batch processing support so hundreds of images can be processed in one go. • Simple inputs—JPEG or PNG—and outputs that retain original resolution. • A brief usage guide plus two or three before-and-after samples using generic product images to prove the improvement. Acceptance criteria • Average colour error reduced enough that side-by-side comparisons look visually identical to the physical item. • Processing time under five seconds per 4-megapixel image on a typical desktop. • Clean, well-commented code so I can extend or embed the function later. If you already have experience with colour science, ICC profiles, or camera RAW workflows, that’s a strong bonus. Let me know how you’d approach the correction logic and any libraries you plan to use, and include a quick turnaround estimate.

I need a clean, well-documented Python script that automatically places and manages stock trades on the NYSE using a trend-following strategy. The core logic should detect upward or downward trends, generate entry/exit signals, place the corresponding market or limit orders, and update positions in real time. If you prefer a specific broker API—Alpaca, Interactive Brokers, TD Ameritrade, or another—you’re welcome to pick the one that lets you demonstrate live or paper trading most easily, as long as it offers NYSE market access and a REST interface. Key points I care about • Pure Python 3 code that runs headless on a Linux VPS • Clear separation between data ingestion, signal generation, order execution, and logging • Simple config file (JSON or YAML) where I can adjust symbols, position sizing, risk parameters, and API keys • Built-in safeguards: max daily loss, max position size, and a kill switch I can trigger manually • CSV or SQLite trade log so I can review fills later Deliverables 1. Full source code with inline comments and a brief README explaining setup, required libraries, and how to start/stop the bot 2. A short demo (recorded screen share or live session) proving the script connects to the chosen brokerage sandbox and executes at least one trend-following trade on an NYSE ticker 3. Quick-start guide outlining how to add more symbols or tweak the trend indicators Acceptance criteria The script must (a) pull real-time NYSE prices, (b) calculate a moving-average-based trend signal, (c) open a position when the signal triggers, (d) close it when the trend reverses or a stop is hit, and (e) log every step without crashing or hanging. If any clarification is needed on indicators, broker selection, or risk parameters, let me know and we’ll pin it down before you start coding.

I need a concise but defensible business case that shows how an enterprise-scale data centre can transition to a circular-economy energy model. The document must blend three elements: • A clear power-supply analysis that maps current and projected demand profiles, peak loads, redundancy requirements and grid constraints. • A technical and financial feasibility study for adding a utility-scale Battery Energy Storage System (BESS) as well as on-site or nearby solar farms and EV-charging infrastructure. • A cost-benefit model that weighs capex, opex, incentive schemes and sustainability metrics against reliability, efficiency and carbon-reduction targets. Please ground every calculation in realistic market data, reference any standards or tools you use (e.g. PVSyst, HOMER, EnergyPlus, Excel, Python), and end with a short executive summary plus an appendix of assumptions. Acceptance criteria 1. Power demand and generation forecasts shown hourly for at least one typical year. 2. NPV, IRR and payback calculations for multiple scenarios (grid-only, BESS only, solar+BESS, solar+BESS+EV). 3. Risk and sensitivity analysis covering energy-price volatility, battery degradation and incentive changes. A slide-ready summary and the working spreadsheets/models are required alongside the main report.

I’m looking for an experienced developer to create custom automation software/bot for my website. The bot should be able to: Automatically perform tasks on the website Log in securely Fill forms / submit data Handle multiple actions automatically Run on a schedule or trigger-based system Include error handling and logging Be scalable and secure Preferred Skills Python Node.js Selenium / Playwright / Puppeteer API integration Web automation Bot development Database management Cloud deployment (optional) Please include in your proposal Examples of similar bots/automation projects Technologies you would use Estimated timeline Fixed-price quote How you would ensure reliability and security

I’m assembling a remote pool of AI-savvy professionals based in Asia who can jump in as taskers on an as-needed basis. The workload varies—from quick data-annotation sprints to full model-training runs or algorithm tweaks for production code—so flexibility and a solid grasp of modern machine-learning workflows are essential. Most of the jobs that come through my queue involve Python, and we routinely lean on frameworks such as TensorFlow, PyTorch, and Scikit-learn. If you’re equally comfortable moving between notebooks, CLI tools, and simple bash scripts to keep pipelines humming, you’ll fit right in. Here’s how I see each engagement working: • I share a clearly scoped task with target metrics, a milestone deadline, and the repo or dataset link. • You complete the work independently, documenting key decisions and pushing code or labelled data back to the repo. • We review results together; once accuracy or performance hits the agreed target, the milestone is approved and paid. Turnaround windows can be tight, so consistent communication on Slack or email is critical. If you’re available for quick check-ins during GMT+5 to GMT+9 hours and have a reliable connection, I’d love to hear from you. Please tell me about the specific ML tasks you enjoy most, the frameworks you prefer, and one recent project you’re proud of.

I spend hours in DaVinci Resolve lining up clips and then repeating the same sequence of simple fades and straight cuts. I’d like that repetitive step to disappear. The goal of this project is to build an AI-driven routine that can scan a Resolve timeline (or an imported batch of clips), decide where a transition is needed, and automatically apply the appropriate fade or cut with clean, frame-accurate timing. Key points you should know • Scope is limited to adding transitions and effects; no trimming, colour work, or fancy animations are required. • Preferred transition style: classic fades and basic cuts only—nothing flashy. • The solution must run inside, or integrate smoothly with, DaVinci Resolve. Whether that’s a Resolve script, a Python/Fusion macro, or an external tool that hands results back to Resolve, I’m open, as long as it fits naturally into the Resolve workflow. Deliverables – A working script, plug-in, or standalone utility that applies the transitions automatically in DaVinci Resolve. – Clear setup and usage instructions (text or short video). – A quick test project or sample timeline demonstrating the automation in action. Acceptance criteria 1. The tool reliably detects clip boundaries and inserts either a straight cut or a fade based on simple rules you define (e.g., dialogue pauses, scene changes, or user-set intervals). 2. Output renders without artefacts and shows the correct transition at each detected point. 3. Installation and operation can be completed by someone with standard Resolve knowledge in under 10 minutes. If you’ve previously scripted Resolve or worked on AI-assisted editing tools, that experience will help us move quickly. Feel free to suggest the most efficient architecture; the important thing is fast, hands-off application of those basic fades and cuts.

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Нужен эскиз кроссовок в трёх проекциях (вид сбоку, сверху, сзади). Полное техническое Задание есть и будет дано, дедлайн строгий 3-4 дня, ищу специалиста который понимает что такое обувь и готов с этим работать, в идеале должны быть работы с обувью в портфолио. Иллюстрация и Цифровое искусство 2 дня назад