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ALGORITHM STRUCTURE: SPY WARRIOR v5.1 PHASE 1: THE SCANNER (Runs Every 1 Minute) This loop constantly filters the market for the "Goldilocks" conditions. 1. Global Time Check: o IF Current Time is between 10:00 AM EST and 3:00 PM EST o OR IF Open_Gap_Percent > 1.5% AND Time is 9:31 AM EST (Gap-and-Go Override) o THEN Proceed to Step 2. o ELSE End Loop (Wait for next minute). 2. VIX Regime Filter (The Gatekeeper): o IF VIX is between 15.00 and 30.00 o THEN Proceed to Step 3. o ELSE End Loop (Market too boring or too dangerous). 3. Compression Filter (The "Narrow State"): o IF Bollinger_Bandwidth(20, 2) < 0.10% (v4.20 Elite Setting) o OR IF Bollinger_Bandwidth_Percentile < 5th Percentile o THEN Proceed to Step 4. o ELSE End Loop (No stored energy). __________...

My MATLAB script performs a textual analysis of wine descriptions by sending each prompt to the ChatGPT API. Everything was working until recently, when every call now hangs and eventually times out, using a 429 error. I need the timeout issue resolved so the analysis pipeline can finish without manual intervention. Feel free to tweak request headers, pacing, retry logic, streaming, or anything else in MATLAB’s weboptions that you know improves OpenAI latency. You’ll receive the current .m file, sample prompts, and log snapshots of the stalled calls. The problem is new, so there’s no legacy workaround in place. Deliverables • Revised MATLAB code that reliably returns ChatGPT responses • Inline comments summarising each change • Short note on any add...

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I need an experienced developer to code an algorithmic trading strategy for Forex on Interactive Brokers. Key requirements: - Experience with Forex trading - Proficiency in coding for Interactive Brokers - Knowledge of algorithmic trading strategies Ideal skills and experience: - Background in finance and trading - Strong programming skills (Python, Java, or C++) - Familiarity with trading platforms and APIs Please provide relevant work samples and experience.

Project Overview We are building a high-performance, low-latency trading engine designed for microstructure-based execution strategies in a high-tax (STT) environment. This is NOT a basic retail trading bot. This system requires advanced system-level engineering, multi-core CPU architecture control, shared memory communication, and real-time observability dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Pyt...

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I’m putting together a concise MATLAB course aimed at first-year engineering students and I need a creative collaborator to produce the video lessons. Each lesson will be a tight 5–10 minute screen recording with clear voice-over that walks students through real problems rather than abstract theory. The syllabus is already mapped out: we’ll introduce basic programming concepts in MATLAB, move into mathematical modeling, and close each chapter with data-visualization tasks that let students see their results immediately. What I’m missing is the polished, engaging video content. Here’s how I picture the workflow: for every topic I’ll supply an outline and sample exercises. You record the screen while solving those exercises step-by-step, explaining y...

I need a set of custom technical indicators written in NinjaScript for NinjaTrader. The goal is to translate a few well-defined ideas I already trade manually—moving-average–based signals, momentum filters, and a volatility band—into fully coded studies that plot cleanly on the chart and can later be connected to strategies. Scope • Code each indicator in C#-based NinjaScript so it installs inside NinjaTrader without errors. • Parameters must be user-adjustable from the Indicator Properties window (e.g., period lengths, smoothing method, deviation multipliers). • All plots should follow NinjaTrader’s standard naming conventions and support both line and histogram styles where relevant. Deliverables • .cs source files for every indicator. ...

I’m building a unsupervised classifier that learns jointly from audio recordings and accompanying physiological signals. My end-goal is a robust prediction model that can generalise to new subjects, so every modelling choice—from feature pipeline through network architecture and hyper-parameter search—has to be evidence-driven and reproducible. Here is what I already have: raw multichannel wave files, synchronised physiological traces (ECG, EDA and respiration) and a draft protocol for train-test splits. What I still need is the deep-learning firepower to turn this into a working model, coded cleanly in Python with TensorFlow or PyTorch, complete with training scripts, inference wrapper and clear documentation. I’ll share the data dictionary, baseline metrics and ...

I will provide a corpus of raw call recordings, each in MP3 format, and I need a machine-learning model that can automatically flag fraudulent activity. The model must correctly recognise the three problem categories—Phishing, Robocalls and Telemarketing scams—without human intervention. What I expect you to handle: • Pre-processing: clean the audio and extract features (e.g., MFCCs or spectrograms) that capture speaker and content cues. • Modelling: design, train and fine-tune a classifier; CNN, RNN, Transformer or a hybrid approach is acceptable if it improves accuracy. • Evaluation: deliver precision, recall, F1 and a full confusion matrix for each fraud type so I can judge real-world performance. • Deployment assets: an inference script or small R...

I need a fully-coded Python program that automates a four-leg options strategy on the Nifty index for intraday trading. The exact entry, exit and adjustment rules are already defined, but I’d prefer to walk you through them by phone (call me on 6353935514) rather than post them publicly. Here’s what I expect once we speak and I share the rules: • A clean, well-commented Python script that accepts the criteria we discuss. • Real-time execution through the broker API of my choice (we’ll confirm which one together). • Basic logging and position tracking so I can monitor each leg throughout the session. • A simple way for me to tweak lot size, strikes and timing without touching the core logic. If you have prior experience coding multi-leg option ...

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The goal is to build a proof-of-concept that embeds additional image data inside the JPEG photographs captured by my drones, using the classic Least Significant Bit (LSB) method. Once hidden, the pictures travel through a FANET where each UAV joins a lightweight consensus round to decide which unit forwards the package to the ground station. By the time the file reaches the base, I want to be able to demonstrate that the payload is intact, immutable, and directly traceable to the specific drone that collected it. Core expectations • A clean, well-commented module that hides and later extracts image-based payloads inside JPEG frames via LSB or other types required. • A simple simulation (or lightweight real-world test) showing at least two drones/nodes running a consensus rou...

I would like to carry out modeling and simulation using MATLAB/Simulink for a system that includes: Implementation of an MPPT strategy for a doubly-fed synchronous wind generator using Backstepping control; Design and implementation of an intelligent MPPT control for the photovoltaic system; Modeling of an energy storage system associated with a resistive load; Connection to the grid and addition of a resistive load; Development of an intelligent system based on a neural network for supervision, energy management, and fault diagnosis. The work will be presented in the form of a report written in Microsoft Word, describing in detail the algorithms used, the analysis of the simulation results, and their interpretation. The final part, dedicated to the intelligent supervision, energy m...

I need a Deriv-compatible bot that will take over my forex trades completely and run a clean, rules-based trend-following strategy. The goal is full automation: from scanning currency pairs on Deriv through to order execution, position management, and trade closure, all without manual intervention. Key points to hit • Strategy logic: simple, robust trend-following rules which i will convey to you • Market scope: any forex asset, metals, crypto, indices etc. • Platform: it must run on Deriv’s DBot/Binary Bot framework or via their API, so please factor in Deriv-specific blocks, syntax, and authentication. • Risk controls: configurable lot size, max simultaneous trades, dynamic stop-loss and take-profit tied to ATR or percentage of price. • Output: the...

I’m currently working through the “BCA topic” section of my Bachelor of Computer Applications course and have reached the data-structure unit that falls under the Programming Languages module. Everything is being assessed in C++, and I need focused help turning theory into clean, working code. What I’m looking for is straight-to-the-point guidance that covers the core ideas behind each structure and then shows how to implement, test, and analyse them in modern C++. I learn fastest when I can read well-commented source, step through it, and ask a couple of follow-up questions afterward, so please be comfortable explaining your choices as you code. Deliverables (all discrete): • C++ source and header files that compile with g++ 11 or later • In-code or a...

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I'm looking for a skilled machine learning expert to help with my final year university project. The goal is to identify different sleep stages using multimodal data, specifically ECG patterns and blood pressure signals. Key Requirements: - Analyze ECG and blood pressure data - Develop a machine learning model to estimate sleep stages - Utilize existing dataset Ideal Skills and Experience: - Strong background in machine learning - Experience with ECG and blood pressure signal analysis - Proficiency in data processing and model development - Familiarity with sleep stage identification techniques

I'm looking for an experienced Python developer to install a trading bot on my computer. The bot will execute options trades on Thinkorswim based on a script I already have. Requirements: - Proficiency in Python - Experience with Thinkorswim platform - Ability to install and configure trading bots - Familiarity with options trading Ideal Skills and Experience: - Background in finance or trading - Previous work with trading automation - Strong troubleshooting skills Please provide a brief overview of your relevant experience.

I have several CSV files—course lists (with numbers, requisites, labs and any concurrent pairings), faculty-preference forms in Excel, student-preference forms in Excel, and a record of which courses each instructor has previously taught. From those inputs I need a standalone scheduling tool that will: • read the CSVs directly (no manual re-formatting) • assign flexible time slots and days to every course, pairing each section with a qualified instructor such that each instructor either teach Mon/Wed or Sun/Tue/Thur but not both. • export the finished timetable as a single CSV laid out exactly like the sample I will share, showing day, start/end time, and instructor name • automatically flag overloads (any instructor teaching more than two courses) and anyone...

I’d like to turn my stock-market ideas into an AIML pattern–driven trading bot that can watch live prices, analyse them on the fly, and place orders automatically while staying within clear risk limits. The core logic must be written around AIML so that trading rules can be updated simply by editing or adding patterns rather than rewriting code. Scope • Data feed & brokerage connection: connect to reliable real-time stock quotes and an API that allows live order execution. • AIML engine: ingest my pattern files, match market conditions, and trigger buy/sell signals. • Strategy design: please propose robust, back-testable strategies suitable for liquid equities; optimisation and walk-forward testing are expected. • Risk layer: position sizing, st...

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I need an end-to-end deep-learning model that can pick out identical human faces across images and video in real time. The core requirements are straightforward: • Detect every human face in an image or live stream, draw accurate bounding boxes, then compare each face against a gallery to decide whether it is an identical match. • Serve three environments without extra rewrites: security-grade CCTV feeds, social-media style mobile uploads, and large photo-management archives. • Deliver low latency on a single modern GPU while still running acceptably on CPU-only hardware for lightweight deployments. I’m comfortable with either PyTorch or TensorFlow/Keras; use the framework you know best. A pre-trained backbone such as ResNet, MobileNet, or Vision Transformer is...

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I’m creating a Swift-based Sudoku app whose primary mission is to teach people how to crack puzzles rather than simply letting them play. I already have the general UI vision; what I need now is a developer who can write the underlying Sudoku engine and weave in an engaging learning layer. Core objectives • Generate valid Sudoku boards on demand, analyse the current grid in real time and expose every classic solving technique (singles, pairs, X-Wing, etc.) through a clean API. • Provide instructional modes—contextual hints & tips —triggered by the user’s choice or by their mistakes. • Cover the whole spectrum of difficulty: beginner, easy, intermediate, tough and devious. Internally I’d like five granular levels, so please make the lo...

I need a researcher who can build a production-ready model that listens to a baby’s cry, watches the paired video, and decides—reliably—whether the cause is hunger, discomfort, or simple attention seeking. Audio and video must be fused inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and rec...

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Explicit Filtering Phase project as discussed in chat for phrase detection and resultant redirect.