Top Tweets for #QuantDev
What's the hardest part of working with financial data for you?
Genuinely curious — the answers shape what we build next.
#FinancialData #QuantDev #PoweredByIntrinio
Manual trading is a bottleneck. I built an open-source AI arbitrage system for automated execution.
Pure logic, no emotions.
Search "Cortex Trading Systems" on Google to see the code.
#AlgorithmicTrading #QuantDev #OpenSource #DeFi
Build a production trading bot with Interactive Brokers API + Claude AI. Architecture, code snippets, deployment tips, and real-world lessons in one guide. Read more: https://t.co/1icHOW2lrr #AlgoTrading #IBKR #ClaudeAI #QuantDev
Want to be a quant dev? Follow this self-taught roadmap: C++, Rust, order flow, and practical projects to land quant roles. 8-min read ▶️ https://t.co/z7ytL1Uj72 #QuantDev #QuantFinance #CPlusPlus #RustLang #AlgoTrading #OrderFlow
Quant Dev HackerRank in 14 days.
Will follow your advice and report back here
What would you prioritise? 👇
#quant #quantdev #fintech #codinginterview #hackerrank #LeetCode
Is the traditional quant developer dead or reinvented? A new long-read examines AI, vibe coding, and where alpha will come from next. Read: https://t.co/C180dxOJ33
#QuantDev #AI #QuantFinance #ML #Trading
Building robust trading systems requires mastering languages like Python & C++. Essential skills for quantitative development, ensuring speed and efficiency in financial strategy implementation. #TradingTech #QuantDev
New on QuantLabs: Rithmic Trading System 2.0 — an in-depth technical guide to building modern trading simulations. Architecture, data pipelines, latency strategies, and testing covered. Read: https://t.co/OelMq09lgX #Rithmic #AlgoTrading #QuantDev #TradingTech
🚀Crypto Quantitative Developer - London
Our client is a global, technology-driven quantitative investment manager operating across liquid asset classes worldwide.
[email protected] / click below to Apply
#njfjobs #londonjobs #crypto #cyrptojobs #quantdev
https://t.co/G15aqpz8nd
open-sourced my options pricing engine with implied vol surface (vol smile), educational notebooks & interactive dashboards.
README in English, app interface in French.
https://t.co/ElPtilvLPH
#QuantDev #OptionPricing #QuantFinance #Python
Language choice in quant development matters less than execution speed and data handling efficiency. I've seen Python strategies outperform C++ implementations simply because the logic was clearer and easier to iterate on.
#QuantDev #AlgorithmicTrading #QuantitativeFinance #ProgrammingLanguages #FinTech
Average True Range (ATR)
ATR is my go-to risk tool.
I use it for:
• position sizing
• stop placement
• volatility-adjusted exits
Fixed stops ignore market reality.
#QuantDev
On-Balance Volume (OBV)
OBV accumulates volume based on price direction.
I use OBV to:
• confirm breakouts
• spot participation divergence
Price moving without volume often lacks follow-through.
#QuantDev
MACD
MACD measures the relationship between two EMAs, not momentum by itself.
I treat MACD as:
• trend strength proxy
• timing tool within trend
MACD alone isn’t a strategy, it’s a component.
#QuantDev
Implementing Limit Order Book in C++ & exposing it to Python via Pybind11.
Core design: BID/ASK separation, heap-based price levels, time-priority ordering, and Python bindings for simulation. Would love insights from people who’ve built real trading infra. #Quantdev #LowLatency
Define custom stateful functions with @state, return multiple factors at once, and reuse intermediate results cleanly.
#DolphinDB #QuantDev #Programming
Python finds the edge.
C# enforces it.
Research, backtesting, and simulations in Python low latency execution and robust infrastructure in C#. That’s how real trading systems scale.
#TradingSystems #QuantDev
🔍 Designing a trading system? It's all about balancing speed, data accuracy, and risk management. From backtesting strategies to executing live trades in fractions of a second, every line of code counts.
#TradingSystem #AlgoTrading #FinancialTech #QuantDev
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