HFT jobs
...position sizing for the Challenge phase • Entry, exit and trade-management framework • Risk-management architecture designed around the $2,000 EOD trailing drawdown • Daily loss and consecutive-loss protection framework • No new entries after 2:00 PM ET • Mandatory flat position protection before 4:00 PM ET • Major economic-news avoidance framework • Prevention of micro-scalping, tick grabbing and HFT-style behaviour • Configurable strategy parameters • Initial NinjaTrader 8 / NinjaScript strategy implementation • Initial validation and preparation for the multi-year backtesting phase The objective of Phase 1 is to produce a properly researched and structured first strategy build rather than prematurely optimizing historical resu...
I have a small, fully-funded high-frequency team and looking for a business consultant to facilitate an agreement with a HFT firm so that my team can execute through their existing low-latency infrastructure. I need an experienced business consultant who can identify potential partners steer the conversation and draft the key points of the partnership agreement, with a focus on two core areas: • Operational integration – translating our strategy and workflow requirements into clear service-level expectations, connectivity terms, risk controls, data-feed usage and support procedures that both sides can sign off on. • Financial structuring – designing and benchmarking a revenue-percentage profit-sharing model that is fair, scalable and compliant, including wa...
Hiring: HFT Developer Crypto Prediction-Market Trading Bot I'm building an automated trading bot for Polymarket's short-duration crypto Up/Down markets (BTC/ETH, 5-min windows). It's a taker strategy. Core engine is in Rust; runs 24/7 on a VPS with a paper-trading simulator for testing. What I need help with: 1. Low latency. Need help getting execution as fast as possible: colocation/region selection, WebSocket handling, order placement/cancel round-trips, cutting every avoidable millisecond. 2. Good structure clean, modular, testable architecture that separates the signal, the execution, and the risk layer. Fast to iterate on, hard to break. 3. A good model a short-horizon (10–15 second) directional signal on Binance order-book + trade data, with a real, out...
...Type:** Fixed Price **Budget:** $250 - $300 (30 sessions total, ~$10/session) **Skills:** C++, Low Latency, Performance Optimization, Multithreading, Algorithm, Pair Programming, Software Architecture, Competitive Programming **Description:** Looking for a strong C++ developer to work with me in a pair programming capacity, focused on low-latency and performance-critical code. You don't need direct HFT industry experience, but you should have hands-on experience with projects in that space or adjacent — performance-sensitive systems, competitive programming at a high level, trading system side projects, game engines, embedded/real-time systems, or similar. I'm working toward roles in high-frequency trading and want to pair with someone who can help me build st...
...JWT decoding, understanding CQRS / async-polling flows. - Methodical performance measurement: p95 / tail latency, controlled A/B, profiling, distinguishing the client-side bottleneck from the server-side one. Preferred - Orchestrating multiple distributed workers across Linux VPS (concurrency, request coalescing). - Chrome MV3 extensions (service workers) + Node.js. - Background in real-time / HFT / trading / large-scale web scraping. Your Role You diagnose the bottleneck, raise hypotheses, design measurement experiments, and propose solutions backed by measured evidence — not guesswork. Full confidentiality required; details shared after an NDA. To apply (screening): briefly describe one latency or anti-bot problem you personally diagnosed — and exactly how you m...
We are seeking a highly skilled professional based in India with expertise in stock analysis, high-frequency trading (HFT), proprietary algorithmic tools, and derivative markets. This is for a consulting initiative aimed at developing advanced trading strategies and tools. While the project is set to begin next year, we aim to initiate discovery conversations and establish future agreements with potential collaborators now. Key Expertise Needed: - High-Frequency Trading (HFT) strategies and systems. - Development of proprietary algorithmic trading tools. - In-depth knowledge of derivative markets and financial instruments. - Strong analytical skills for stock market analysis and data-driven decision-making. Preferred Location: India Compensation Structure: - Equity: 2&ndas...
...Founder Proprietary Trading Firm • Quant Researcher Singapore • Algorithmic Trader Singapore • Quant Developer Dubai • Software Engineer Trading Firm • Head of Trading • CTO AI Startup • CTO FinTech Startup • VP Engineering Startup Identify: • Founders • CTOs • Engineering Managers • Hiring Managers • Quant Researchers • Traders • Team Leads GitHub Research Search: • Market Making Repositories • HFT Infrastructure Projects • Trading Engines • Matching Engines • Exchange Connectors • Arbitrage Bots • Solana Projects • Rust Projects • Quantitative Finance Repositories • Open Source Trading Systems Find: • Maintainers • Contributors • Sta...
I'm seeking an experienced Rust developer to create a high-frequency trading (HFT) algorithm for cryptocurrency on Polymarket. Key Requirements: - Develop a robust, low-latency HFT trading algorithm - Focused on cryptocurrency markets - Integrate with Polymarket exchange - Implement risk management and trade execution strategies Ideal Skills & Experience: - Proficiency in Rust and experience with HFT algorithms - Strong understanding of cryptocurrency markets and Polymarket - Experience with low-latency systems and risk management - Ability to deliver within budget and timeline Please provide relevant experience and approach.
I am looking for a technical collaborator to refine and finalize a high-level publication regarding High-Frequency Trading (HFT) systems developed in Python. The goal is to produce a production-quality open-source repository and a comprehensive technical guide. The scope includes: Low-Latency Architecture: Optimizing Python code for execution speed using libraries like NumPy, Pandas, and Asyncio for concurrent data handling. REST & WebSocket Integration: Detailed examples of robust authentication, order routing, and real-time market data streaming from global exchanges. Risk Management Frameworks: Implementation of automated stop-loss, take-profit, and rate-limit handling to ensure system stability. Backtesting Engine: Developing a module for testing strategies against historica...
I'm looking for an experienced developer to automate my high-frequency trading strategies across five different accounts. The accounts are with 5 Paisa, Fyers, and Motilal Oswal. Key Requirements: - Automation of high-frequency trading strategies - Integration with 5 Paisa, Fyers, and Motilal Oswal - Development in Python Ideal Skills and Experience: - Expertise in Python programming - Experience with high-frequency trading and related strategies - Familiarity with the mentioned trading platforms and their APIs - Strong background in algorithm development and trading automation Please provide examples of previous work in your bids.
Alpha Genesis Advisors is seeking a top-tier engineering team or developer to build a proprietary AI-driven millisecond arbitrage system. We are not looking for employees; we are looking for partners who are confident in their technical execution. PROJECT SCOPE: Development of an AI core for HFT (High-Frequency Trading). Integration with liquidity cores and major exchanges. Execution timeline: 18 days. THE ALPHA GENESIS PROTOCOL (PAYMENT TERMS): SUCCESS FEE ONLY: We pay a total of $100,000+ USD upon successful delivery and live-testing of the system. NO UPFRONT PAYMENTS: Zero advance, zero commitment fees, zero infrastructure prepayments. We provide the capital and vision; you provide the working code. LEGAL GUARANTEE: We are ready to sign any legally binding contract or esc...
I run a high-frequency trading stack built around Exablaze ExaNIC adapters and I need an expert who can squeeze every last micro- and preferably nanosecond out of the network path. The application is an HPC-grade trading engine, already functional, but I’m looking for deep system-level optimisation rather than new feature work. The immediate goal is to analyse the current kernel-bypass pipeline, tune firmware and driver settings, and refine the userspace networking code so packet transit from wire to strategy logic is as close to zero-copy and zero-latency as the hardware allows. You should be comfortable working in C/C++ under low-latency Linux kernels, familiar with libexanic. Deliverables Code to preload the orders on exanic Acceptance criteria: measurable reduction in average ...
I need a complete high-frequency trading (HFT) strategy for actively-traded equities. The solution must be built around three data pillars that I already have in place: extensive historical tick data for back-testing, a low-latency real-time market feed for live decisions, and curated news feeds for event-driven signals. Your job is to transform these inputs into a production-ready strategy that can ingest the streams, react within microseconds, and handle the entire trade life-cycle—from signal generation through execution and risk checks—without human intervention. Deliverables • Strategy logic and mathematical model, fully documented • Back-test framework wired to my historical data, with reproducible results • Low-latency execution module tha...
I am an infrastructure architect for a High-Frequency Trading (HFT) desk. I am looking for a server scout, network engineer, or local datacenter enthusiast to find a hosting provider in Singapore (VPS, Dedicated, Bare Metal, or Cloud) that offers significantly lower latency than my current setup. ​ The Goal & The Bounty ​Target: I strictly need a server that delivers UNDER 300 microseconds (<0.3ms) stable latency to my target IPs. ​Payment: Fixed Bounty of ₹5,000 INR (~$60 USD). ​(Note: If you manage to find an extreme edge case like <50µs or <100µs, I am open to discussing a handsome bonus, but the primary deal is ₹5,000 for <300µs). ​I do not care about the server specs (1 Core / 4GB RAM is enough). It can be a cheap VPS, a premium dedicated serve...
...logic when the QPU is offline. Acceptance criteria: the strategy must sustain sub-5 µs internal decision latency and demonstrate a minimum 15 % improvement in risk-adjusted return over a classical-only baseline across three months of tick data. If you’ve already experimented with quantum optimisation for finance and can speak in both qubits and FIX tags, let’s make this the first live Quantum-AI HFT desk on the street....
Expert Developer Wanted: Low-Latency Telegram Trading Bot for BTC/USDT (HFT/Scalping) Project Overview: I am looking for a senior blockchain/backend developer to build a high-performance Telegram-based trading bot specialized in BTC/USDT scalping. The bot must be optimized for speed, executing entries and exits almost instantaneously during peak volume hours. Core Functionality: Telegram Interface: Full control via Telegram (Start/Stop, Manual Override, Real-time P&L alerts). High-Speed Execution: Must use WebSockets (not REST) for sub-10ms data feeds. Volume-Based Logic: The bot must automatically trigger or increase activity during the 13:00–16:00 UTC window (or based on real-time volume spikes). Rapid Scalping Strategy: Automated "Sniper" entry and exit ...
I need an execution layer for solan pump fun token trading on tokens on the bonding curve. The design must be hyper fast and be mindful of fees. Your proposal will include detailed cost analysis. I’m planning on using it for many small trades (0.05-0.1sol and I can’t afford to pay more than 0.5% in fees round trip jito tip/CU/priority fee ect). If your planning to use gRPC include the privider and the costs but I would prefer to avoid it if possible. I need to land on block 0 and in less than 30ms
I have a fully-built high-frequency trading algorithm and now need it running reliably in the Microsoft Azure cloud. Your mission is to design and implement the cloud architecture, move the existing code into that environment, and fine-tune everything for the low-latency execution HFT demands. Here is what I expect the engagement to cover: • Environment design and provisioning — choose the right Azure services (e.g., VM scale sets, AKS, Functions, Event Hubs, low-latency networking) so the strategy can scale without sacrificing execution speed. • Code onboarding — containerise or otherwise package the current codebase, handle secrets securely, and wire it to real-time market data and broker endpoints. • Deployment automation — set up CI/CD in A...
We are looking for an experienced Rust engineer with deep expertise in Solana blockchain, data analysis and high-frequency trading The goal is to perform a deep data analysis of a specific high-frequency trading (HFT) bot on Solana and his trade history, fully reconstruct its trading strategy, and provide a clear roadmap for replicating it , launching and scaling it with minimal costs and maximum efficiency. This is not a simple "build me a bot" request. This is a strategy discovery and architecture design project. The developers will act as both analyst and architect — extracting the logic from on-chain data and proposing the optimal way to implement it. The final deliverable is a detailed logical model of the strategy No AI auto-responses, please Only candida...
...trading environment Analyze performance (PnL, Sharpe, drawdown) Requirements Proven experience in algorithmic trading / quant development Strong Python programming Experience with QuantConnect or LEAN Engine Experience with IBKR API integration Understanding of US equities / ETFs markets Experience with backtesting frameworks Knowledge of trading risk management Nice to have Intraday or HFT strategies pandas / numpy / scipy Walk-forward optimization Experience in prop trading / hedge fund C# (LEAN) Project details Market: US stocks & ETFs Broker: Interactive Brokers Platform: QuantConnect / LEAN Strategy type: systematic / algorithmic Engagement: long-term collaboration possible To apply Please include: Relevant algo trading projects QuantConnect / LE...
I’m running a production Solana trading bot that trades tokens pre- and post-bonding curve. Version 1 is live. I’m hiring to build Version 2, focused purely on latency, throughput, and execution efficiency. This is NOT a general Solana dev role. This is infra / MEV-level engineering. If you haven’t built low-latency, high-throughput Solana systems in production, do not apply. Scope (High-Level) Aggressive transaction fee + execution path optimization Minimize frontend + backend latency Scale RPC throughput 10 rps → 100–250 rps Bulk transaction execution at high frequency Avoid / mitigate Jito Bundler detection Efficient account & sub-account creation at scale Detect → DEX migration and automatically switch execution to: Jupiter (JUP) or equivale...
.../ take profit** * Handle **real-time market data via WebSockets**, including reconnect and fault tolerance * Ensure **robust order and position tracking** with safe, one-time trigger behavior * Maintain a clear separation between **exchange-specific adapters** and shared execution logic * **Refactor existing Python code** to improve clarity, structure, and performance, suitable for low-latency / HFT-style systems * Deliver clean, maintainable code and simple demo scripts that showcase execution flows **Note:** You may build the `` and `` modules from scratch, or adapt an existing implementation provided by us to support at least two exchanges in a modular, extensible way. After the execution task, a dedicated refactoring challenge will be used to assess code quality and
I'm looking for an experienced developer to build a high-frequency trading (HFT) system for the stock market. The system should be robust, efficient, and capable of integrating with some of my existing software. Key Components Needed: - Algorithm Development: Create sophisticated trading algorithms. - Data Feed Handler: Manage real-time data feeds. - Trade Execution Module: Ensure fast and reliable trade execution. - Full End-Own Terminal Building: Develop a comprehensive trading terminal. Ideal Skills and Experience: - Strong background in finance and HFT - Proficiency in algorithm development - Experience with data feed handling and trade execution - Ability to integrate with existing software systems - Familiarity with stock market dynamics Please provide examples ...
Senior Backend Engineer (Rust / Go & Web3) Ex...core logic (e.g., RNG, accounting systems) is infallible. Collaboration Standards: Mastery of Git workflows and a strong advocate for the Pull Request (PR) collaboration model. Capable of elevating team standards through detailed Code Reviews and clear technical documentation. Preferred Qualifications (Plus) Domain Expertise: Prior experience in iGaming (online casinos), High-Frequency Trading (HFT), Fintech/Payment systems, or large-scale gaming backends is highly preferred. Security Background: Familiarity with common cryptographic algorithms, Provably Fair protocols, or smart contract auditing. Performance Tuning: A proven track record of handling high-concurrency traffic spikes, resolving system bottlenecks, or troubleshooting...
Senior Backend Engineer (Rust / Go & Web3) Ex...core logic (e.g., RNG, accounting systems) is infallible. Collaboration Standards: Mastery of Git workflows and a strong advocate for the Pull Request (PR) collaboration model. Capable of elevating team standards through detailed Code Reviews and clear technical documentation. Preferred Qualifications (Plus) Domain Expertise: Prior experience in iGaming (online casinos), High-Frequency Trading (HFT), Fintech/Payment systems, or large-scale gaming backends is highly preferred. Security Background: Familiarity with common cryptographic algorithms, Provably Fair protocols, or smart contract auditing. Performance Tuning: A proven track record of handling high-concurrency traffic spikes, resolving system bottlenecks, or troubleshooting...
... Experience with FTMO: Perfect knowledge of all rules (Max Daily Loss, Max Overall Loss, forbidden hedging for swing accounts, news trading rules, etc.). Track Record: Provide a link to Myfxbook, FXBlue, or verifiable payout certificates from other Prop Firms. Static screenshots will not be accepted. Strategy: Manual or EA strategies are accepted, BUT the following are strictly prohibited: • HFT (High Frequency Trading) • Arbitrage • Tick scalping exploiting demo server latency FTMO bans these accounts before the payout. Your strategy must be reproducible in a real environment. ⸻ Objectives: • Phase 1: Reach the 10% profit target while respecting all drawdown limits • Phase 2: Reach the 5% profit target while respecting all drawdown limits &bul...
We are seeking a highly skilled developer with expertise in Aeron and SBE to engineer a greenfield, ultra-low latency cryptocurrency market-making core on AWS. The goal is to achieve an internal tick-to-trade latency of <50 microseconds (p99) on the "Hot Path." Key Objectives: ...(Store-Release), and ensures zero allocation inside the main loop. Timeline: - Phase 1 (Milestones 1 & 2): Completion within 2 weeks of start as a proof of capability phase. - Phase 2 (Milestone 3): Completion within 3–4 weeks after Phase 1 approval. Budget Range: - Milestone 1: $1,500 - $2,500 - Milestone 2: $2,500 - $4,000 - Total Prototype Budget: $4,000 - $6,500 We are looking for senior-level HFT expertise capable of delivering tuned configurations efficiently while m...
...database for 2+ years of intraday/NIFTY options/OI data. Implement backtesting module & ML training workflow (XGBoost/LightGBM/Deep Learning optional). Build risk-managed signal generation logic for NIFTY option trades. (Optional) Connect with broker APIs for execution + paper/live trade mode. Required Skills Strong experience in Python (preferred) or Java/Node). Experience with algo trading / HFT / quant systems. Knowledge of NIFTY/OI/Options Greeks & intraday market microstructure. Hands-on with Kafka/Redis Streams/RabbitMQ, TimescaleDB/Postgres, Docker/Microservices. Experience in ML/Backtesting frameworks (Pandas, NumPy, Scikit-Learn, XGBoost). Experience with REST APIs, WebSockets, streaming data handling. Nice-to-Have Experience with broker APIs (Angel O...
We are seeking a highly skilled developer with expertise in Aeron and SBE to engineer a greenfield, ultra-low latency cryptocurrency market-making core on AWS. The goal is to achieve an internal tick-to-trade latency of <50 microseconds (p99) on the "Hot Path." Key Objectives: ...(Store-Release), and ensures zero allocation inside the main loop. Timeline: - Phase 1 (Milestones 1 & 2): Completion within 2 weeks of start as a proof of capability phase. - Phase 2 (Milestone 3): Completion within 3–4 weeks after Phase 1 approval. Budget Range: - Milestone 1: $1,500 - $2,500 - Milestone 2: $2,500 - $4,000 - Total Prototype Budget: $4,000 - $6,500 We are looking for senior-level HFT expertise capable of delivering tuned configurations efficiently while m...
I'm looking for an experienced algorithm developer to create a high-frequency trading (HFT) strategy for the stock market. The strategy should be based on order book dynamics, focusing on order flow and liquidity. Key Requirements: - Expertise in HFT and stock market - Strong programming skills (Python, C++, etc.) - Experience with order book dynamics and liquidity - Ability to backtest and optimize trading strategies Ideal Skills: - Experience in developing HFT algorithms - Knowledge of market microstructure - Strong analytical and quantitative skills - Familiarity with trading platforms and APIs Please provide relevant work experience and examples of similar projects.
I’m building an in-house high-frequency trading stack dedicated to listed equities and need a quant with proven HFT expertise to turn my detailed spec into a live, latency-sensitive algorithmic strategy. The assignment covers the full workflow: transforming raw market data into alpha signals, engineering a sub-millisecond execution engine, and wrapping the whole system with rigorous risk controls. I will supply historical tick data, venue-specific microstructure notes, and target performance metrics; your job is to translate these into clean, production-ready code and verifiable research. Preferred toolchain is Python for research and C++17/20 for the low-latency path, with exchange connectivity over FIX/OUCH/ITCH. Familiarity with kernel-bypass networking (e.g., Solarflare,...
I’m assembling a high-performance trade team and need an expert who can both architect and drive the full build-out of an ultra-low-latency <10MS, high-frequency trading (HFT) platform that will operate across stocks, options, cryptocurrencies, and any other instruments we decide to add. Core focus • Design and implement an end-to-end trading engine tuned for micro-second response times, including market-data ingestion, order-management, and risk layers. • Own latency from wire to exchange: profiling, networking tweaks, kernel tuning, and hardware-aware optimisations. • Establish a robust testing framework with synthetic load, replay, and real-time analytics so latency regressions surface instantly. Leadership expectations • Translate busin...
I have a medium- and high-frequency transformer (MFT/HFT) that must be captured in a coupled electro-thermal model built in COMSOL Multiphysics. The study centres on three intertwined phenomena—core loss, winding loss and overall heat dissipation—so that I can quantify power density, efficiency and pinpoint hot-spot temperatures. Core loss needs to be handled rigorously through the appropriate calculation methods (B-H integration, Steinmetz-based or any alternative you can justify). Winding loss and consequent thermal rise should be tied into the same simulation so I can see how copper loss, eddy currents and cooling paths interact. Ultimately I want a clear picture of where the heat is generated, how it spreads, and what the peak steady-state temperature is under rated...
...podcast-style videos that dive into the current financial-market landscape, with a sharp focus on high-frequency trading and how today’s conditions affect both HFT firms and prop-desk operations. The episodes will mix structured market analysis with guest conversations, so I need a creator who can handle both expert commentary and interview production while keeping everything formal, data-driven, and professional. Here’s what I’m looking for: • Ten fully edited videos (podcast format with on-screen or studio footage) that are 100 % human-generated—no AI avatars, voices, or synthetic content. • Each episode must feature timely HFT insights: execution speeds, latency arbitrage, order-flow dynamics, and the regulatory environment shaping th...
...Scope of Cooperation Strategy Research & Joint Design EA Development (MT5 primary) Risk Management Framework Backtesting & Validation Forward Testing & Pilot Deployment Knowledge Transfer Ongoing Strategic Cooperation Technical & Compliance Requirements Profitability: ≥ 12% ROI monthly; ≥ 70% profitable months. Risk: ≤ 4% daily drawdown; ≤ 10% total drawdown preferred. Compliance: No HFT, latency arbitrage, martingale, or grid strategies. Stability Metrics: Profit Factor ≥ 1.40; Sharpe ≥ 1.2. Execution: Non-scalping (avg trade duration ≥ 3 minutes), max 20 trades per day per symbol. Instruments: Mandatory – XAUUSD; Optional – EURUSD, GBPUSD, USDJPY, USDCAD, AUDUSD, NZDUSD. Transparency: All reports must include raw d...
... • Backtesting capabilities I want to replay historical NSE data inside the same interface, run my HFT logic against it, and view metrics—P&L curves, slippage, latency distribution—before moving the code to live mode. Key points – Written in a performant language (C++, Rust, or low-latency Python stack with async/numba) and structured so I can extend it. – Modular architecture so additional exchanges like BSE or MCX can be plugged in later without a full rewrite. – Clean UI/CLI for strategy selection, parameter tweaks, and live monitoring. – Source code, deployment scripts, and concise documentation are part of the final hand-off. If you have a proven track record in HFT infrastructure on Indian markets, I&rsquo...
I'm seeking an experienced algo and software developer to create a high-frequency trading (HFT) algorithm for the stock market using Python. Key Requirements: - Develop HFT strategies using real-time and historical market data. - Implement efficient data processing and decision-making algorithms. - Ensure low-latency execution and robust error handling. - Backtest strategies and optimize for performance. Ideal Skills and Experience: - Expertise in Python, especially for financial applications. - Strong understanding of HFT and market microstructure. - Experience with data feeds and trading platforms. - Proficient in algorithm development and quantitative analysis. - Background in finance or related fields is a plus. Please provide relevant work samples and expe...
I'm seeking an experienced C++ mentor to guide a group of enthusiasts in low-latency programming for high-frequency trading. Key areas include: - Concurrency and Multithreading - Memory Management - Optimization Techniques - Kernel B...experienced C++ mentor to guide a group of enthusiasts in low-latency programming for high-frequency trading. Key areas include: - Concurrency and Multithreading - Memory Management - Optimization Techniques - Kernel Bypass - Custom Memory Allocation - NUMA Architecture - Order Book Implementation Ideal skills and experience: - Expertise in high-performance C++ development - Background in finance or HFT systems - Strong understanding of system architecture and low-latency environments - Proven mentoring or teaching experience Looking forwar...
