Algoritmos Jobs

I need an options screener that ranks option chains by their gamma and vanna exposure so I can quickly spot names with outsized dealer flows. The first milestone is a Python-based dashboard that pulls real-time and historical pricing, volatility, and volume data, calculates the two greeks, and lets me sort or flag contracts accordingly. Data will come from whatever reliable feed you prefer (IBKR, Tradier, CBOE, etc.); as long as I receive clean price, IV and volume series, I’m fine. The code should be organised in modular form—think data-pull, greek-calc, and UI layers—so we can later bolt on extra filters (strike, expiration, IV skews) without a rewrite. If the screener works as intended we’ll move to two optional follow-ups: 1. A back-tester. 2. A auto tra...

Je cherche un quant pour faire un indicateur sur Trading view ou eventuellement python pour calculer en spread certaine paires de commodity ou equity.

project is to develop an image processing–based infrared small target detection system that identifies small targets in infrared images using a combination of local contrast analysis and nonlocal spatial information. The project will use a publicly available dataset The project will involve implementing and integrating two classical image processing methods: A. Dual-Window Local Contrast Method (DW-LCM) B. Multiscale Window Infrared Patch-Image Model (MW-IPI)

I’d like you to turn my daily-pivot R1/S1 breakout idea into a fully automated Python program that plugs straight into the Dhan API. The very first thing I want nailed is an accurate, daily recalculation of R1 and S1 levels using the standard pivot-point formula. Once those numbers are right, the rest of the logic can sit on top of them. The bot must scan the one-minute feed, detect a clean breakout of either level, and then fire live orders across multiple NSE F&O stocks at the same time. Every position should carry its own configurable stop-loss and target so I can fine-tune risk for each script instead of being stuck with global defaults. Alongside the live engine I also need a back-testing module that lets me replay historical data and verify the strategy before it touches ...

I am ready to acquire a fully-packaged trading solution that has already been stress-tested in live conditions and is verifiably profitable—minimum 60 % return over a meaningful sample of trades. The system must trade across Forex, Crypto, and CFD markets, and it has to be plugged into an automation layer (bot or API integration) so I can deploy it immediately. Risk management is my top priority. Your method should demonstrate clearly defined position sizing, draw-down limits, and safety nets that have held up in both back-tests and live accounts. Without robust controls, the proposal will not be considered. To streamline selection, send a detailed project proposal that includes: • Strategy documentation explaining the logic, indicators, and time-frames • Proof of perf...

I’m looking for a reliable partner to generate clear, technically-driven forex trading signals and deliver them straight to my inbox. Here’s what I need: • Technical analysis signals on major currency pairs, including precise entry, stop-loss, and take-profit levels. • Email notifications sent in real time or at pre-defined release times (e.g., London open, New York session). • A brief market rationale accompanying each alert so I can understand the key indicators behind the call—moving averages, RSI, MACD, support/resistance, or other chart patterns you specialise in. • Performance tracking: a simple weekly summary of closed signals so I can monitor win rate and risk-reward metrics. I already handle order execution myself; I simply need de...

MetaTrader 5 Expert Advisor (Full Auto – ICT-Based – Strict Risk & Margin Control) Project Description: I am looking for an experienced MQL5 developer to build a fully automated Expert Advisor (EA) for MetaTrader 5. The strategy should be based on simplified ICT concepts and must include strict prop-firm style risk management. Strategy Logic (Mechanical ICT Approximation) The EA should: Trade Forex major pairs only (EURUSD, GBPUSD, USDJPY, AUDUSD) Detect Market Structure Shift (break of structure logic) Detect Fair Value Gap (FVG) Enter on retracement into FVG after MSS confirmation Include trend filter (e.g., EMA filter – adjustable) Set Stop Loss below/above structure swing Minimum Risk:Reward = 1:3 (adjustable) All logic must be fully automated (no man...

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I have a Mathematica notebook that is nearly complete, but I need assistance with one specific plot. The plot consists of two halves, which I can currently plot separately. However, I need help combining these two halves into a single function for further plotting and calculations. The relevant plot appears at Out[456], which should be helpful for reference. This task should be straightforward for someone experienced with Mathematica.

I want a single trading bot that can move seamlessly between stocks, cryptocurrencies, and forex, executing trades with one clear goal: consistent profit. I am not tied to a particular methodology—scalping, swing trading, arbitrage, or any hybrid approach is welcome as long as real-world back-tests prove it can make money. The core of the job is to deliver a fully automated system. It should connect to the main retail broker APIs for equities, the leading crypto exchanges, and a reliable forex liquidity provider, pulling live data, placing orders, and managing open positions without manual intervention. Risk-control parameters such as max drawdown, position sizing, and dynamic stop-losses need to be adjustable from a simple settings file or dashboard. Because the strategy mix i...

Segment: NSE Equity Derivatives (F&O). Timeframe: 1-minute (execution) and 5-minute (range marking). Trading Type: Intraday Momentum. Instruments: ATM/ITM Call or Put Options. 1. Selection & Universe Filtering Stock Universe: All stocks in the F&O segment. Lot Size Constraint: Filter for stocks with a Lot Size < 1000 (e.g., avoid high-lot stocks like IDEA). Sector Benchmarking: Monitor all NSE Sector Indices (Nifty Bank, Nifty IT, Nifty Pharma, Nifty Auto, Nifty Metal, etc.). 2. Pre-Entry Filtering (9:15 AM – 9:20 AM) Step A (Index Filter): Mark the Opening Range (High/Low) of all sector indices from 9:15 to 9:20. Only consider sectors where the current price is 1% up (Bullish) or 1% down (Bearish) from the previous day's close or opening price. Step B (Sto...

Project Description Our project is a software-based system designed to analyze ECoG signals and generate a frequency map using mathematical computations and signal processing algorithms. The main objective of the project is to evaluate frequency-to-place mismatch by comparing the mismatch produced by our software with the mismatch generated by an anatomy-based clinical fitting system. Methodology 1. ECoG Signal Processing The software takes ECoG signals collected from patients and applies: • Mathematical calculations • Signal processing techniques • Algorithmic analysis The output of this stage is a frequency map derived directly from the ECoG signal. This frequency map is then projected onto the cochlear anatomy to calculate the frequency-to-place mismatch produced ...

We are setting up high performance computing system and low latency trading platforms. We need someone for developing effective trading algorithms, having knowledge of programming and a deep understanding of market dynamics. please quote.

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 Pyth...

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