Passionate about HFT and C++.
Expert in market microstructure, low-latency systems, and algorithmic trading.
Connect on LinkedIn for more (reached 30k fllwrs)
After almost a year of hard work, I'm excited to announce my book:
𝐂++ 𝐇𝐢𝐠𝐡 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐟𝐨𝐫 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: a guide for those looking to dive into the world of financial trading systems using C++.
🛒 Now available for pre-order on Amazon.
Throughout my career, I worked with systems that needed to balance performance and flexibility.
In low-latency systems, choosing the right data structure is crucial for efficiency, enabling rapid access and minimal overhead.
I wrote about this topic in my recently published
How to build an efficient Limit Order Book with the following operations:
- Add: O(1)
- Cancel: O(1)
- Execute: O(1)
The idea is to build a binary tree of Limit objects sorted by price, each of which is a linked list of Order objects
Get it here👇
Numerai is a crowd-sourced AI hedge fund.
They paid $72,002,141 to data scientists to beat the market.
Despite these efforts, since 2019, it has underperformed the S&P500.
Why is trading the hardest problem in the world?
Have the cover ready for my upcoming book!
C++ High Performance for Financial Systems: Building Efficient and Optimized Financial systems leveraging the power of C++
I will be sharing the table of contents soon!!!
#cpp
#lowlatency
#financial
#hpc
#hft
#trading
#cplusplus
During my career, I probably backtested and ran +5000 strategies. Using TA and/or microstructure strategies.
My conclusion has been that there is no Holy Grail, no free lunch, and most of the strategies/models are random.
The only thing that separates you from winner/loses is
I'm looking for software engineers
Pleasen DM
#1
- .NET/C# and
#WPF
. Strong experience with Profiling hpc systems, and financial industry experience
and
#2
- C++ experience profiling (vtune) and strong in building low latency systems
When building low latency Limit Order Books (and any low latency system), Big O's is not the only answer.
This repository is using maps, which must be avoided at all costs if you are latency sensitive.
@ locality
@ cache friendliness
@ having the hot path warmed up
among other
How to build an efficient Limit Order Book with the following operations:
- Add: O(1)
- Cancel: O(1)
- Execute: O(1)
The idea is to build a binary tree of Limit objects sorted by price, each of which is a linked list of Order objects
Get it here👇
In
#HFT
, simplicity is key.
- Use pinned threads to a core with busy spinning for queue management, ensuring constant attention.
- Remember, memory location matters for speed, from L1 Cache (5ns) to main memory (100ns).
#HFTBestPractices
#LowLatencyTips
#lowlatency
Master your programming language for High-Frequency Trading.
In C++, to minimize latency:
- understand each instruction's impact on memory
- avoid complex data structures
- avoid expensive exception handling
- what else?
#cpp
#PerformanceOptimization
#hft
I've been wondering why
@binance
doesn't provide Level 3 market data. Lack of transparency?
Most probably yes, that's what their limit order book shows us.
Let's get practical: How market-makers use
#VPIN
1/3
As a barometer of market health, VPIN helps market-makers assess liquidity and the balance between informed and uninformed trades.
Real-time insights into order flow toxicity are crucial for adapting to the ever-changing
🚨 BREAKING NEWS: Book give-away!!
📘 My publisher granted me 5 copies of "C++ High Performance for Financial Systems" to share with my network.
Ideally for those passionate about finance and tech intersections.
👇
Please share your thoughts on how C++ shapes financial
When talking about market microstructure, the "Market Bias" metric is an extension of the "Market Resilience" indicator.
It aims to quantify the market's directional tendency after a significant trade, offering insights into the prevailing sentiment among traders and investors.
Have you ever thought about what happens in the market after a large trade?
We've broken it down in our latest article.
It's more intriguing than you might think!
#visualHFT
#MarketInsights
#TradingStrategy
If you see a high number of canceled orders compared to actual trades (a high Cancellation-to-Trade Ratio), it usually means one of two things:
1️⃣ Traders are changing their minds a lot
2️⃣ There’s a lot of super-fast trading going on (
#HFT
)
At least you have a way to adjust
# 6/8
For traders, monitoring CTR can enhance decision-making.
Understanding whether a market is tentative or decisive helps in tailoring your trading approach accordingly.
#SmartTrading
#traders
#daytrading
#visualHFT
In this thread, I will share some tips and best practices on how to design and optimize your trading systems for ultra-low latency, essential for high frequency trading.
#hft
#software
#cpp
#trading
#lowlatency
How do market makers use game theory to their advantage?
1. Traders seek to profit from the spread between the buy and sell prices by continuously placing limit orders. 2. Game-theoretic models help in determining the optimal pricing and placement of these orders, taking into
Continuing this series: Let's get practical: How market-makers use
#VPIN
2/3
Check the previous post:
𝐕𝐏𝐈𝐍 𝐢𝐧 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐃𝐚𝐭𝐚 𝐔𝐭𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧
An essential aspect of market-making is
Let's get practical: How market-makers use
#VPIN
1/3
As a barometer of market health, VPIN helps market-makers assess liquidity and the balance between informed and uninformed trades.
Real-time insights into order flow toxicity are crucial for adapting to the ever-changing
"Trading System Performance Unleashed: Mastering Latency and Efficiency in High-Frequency Trading."
Valuable resource for finance professionals seeking to optimize their trading systems.
Get your copy today!
#trading
#fintech
#highfrequencytrading
#hft
@quant_arb
As one of those who tried to implement every MM paper out there, I can tell that most of them won't work.
Execution quality is far from perfect and queue prediction is "impossible".
𝐖𝐡𝐚𝐭 𝐢𝐬 𝐋𝐎𝐁 𝐑𝐞𝐩𝐥𝐞𝐧𝐢𝐬𝐡𝐦𝐞𝐧𝐭?
LOB Replenishment involves monitoring the recovery of the order book's depth and spread following large trades. It's essential because it indicates how quickly and effectively a market can stabilize after substantial order
Market Resilience is not just about price recovery; it's also about how fast the order book depth is replenished after large trades.
A key insight for traders.
#MarketDepth
#TradingStrategy
#visualHFT
Best Practices on HFT low-latency software engineering
1. Programming Language
2. Types and data structures
3. Avoid Exception Handing
4. Threads handling
5. Caches handling
6. Layers of abstraction
7. Warming up the data
#hft
#highfrequencytrading
#lowlatency
C++ will be used for the next 50-100 years in financial services
If you're toying with the idea of learning C++ for a job in financial services, drawn by the promise of huge pay but put off by the awareness that it's really not an…
After several days of trying, I finally got a nice & clean limit order book reconstruction from the "full channel" on
@CoinbaseExch
. The most granular data.
Now we will be able to extract a lot of hidden metrics.
understanding of market resilience can lead to more effective trading strategies that capitalize on rapid market changes.
#visualHFT
#hft
#trading
#quants
Have you ever thought about what happens in the market after a large trade?
We've broken it down in our latest article.
It's more intriguing than you might think!
#visualHFT
#MarketInsights
#TradingStrategy
FIX Protocol sniffer: Customer needed to collect all their incoming & outcoming
#FIX
messages. We are working on a small system to collect all
#fixapi
packages for later analysis without interfering their current systems:
#trade
#analytics
,
#monitoring
,
#latency
checks,
#risk
Master your programming language for High-Frequency Trading.
In C++, to minimize latency:
- understand each instruction's impact on memory
- avoid complex data structures
- avoid expensive exception handling
- what else?
#cpp
#PerformanceOptimization
#hft
# 8/8
Want to dive deeper into how CTR can refine your trading strategy?
Follow us for more insights and updates on cutting-edge trading metrics.
#VisualHFT
#traders
#hft
#DayTrading
10 Things That Affect the Profitability of a Trading System
What factors affect the profitability of an automated trading system? Here is a list of the 10 things in no particular order.
#trading
#crypto
#algotrading
#finance
#hedgefunds
Real-time monitoring is crucial in HFT.
Implement robust logging and monitoring in your C++ code to quickly respond to anomalies.
Use an independent system to monitor everything.
#visualHFT
#TradingSystems
Many
#trading
analysis platforms do not provide real-time market visualization, especially of the Level 3 order book data, which contains the full depth of the market.
That's why we created
@visualhft
#marketdata
#algotrading
One of the most challenging and exciting components of
#HFT
software development is the market data feed handler.
The market data feed handler is responsible for receiving, decoding, and processing the market data from various sources, such as exchanges, brokers, and vendors.
If the number is low, it means that once traders place their orders, they’re likely to go through with the trade.
Is this the ideal scenario for most algos 🤔
#algotrading
#trading
#finance
# 6/8
For traders, monitoring CTR can enhance decision-making.
Understanding whether a market is tentative or decisive helps in tailoring your trading approach accordingly.
#SmartTrading
#traders
#daytrading
#visualHFT
I can't believe it!😅
After more than a year of writing, I finally released my first book.🎉
Read it to understand your application's performance on a modern CPU and learn how to improve it.
Available for FREE download (PDF) today!⤵️
Please RT!
(1/4)
Next challenge: create an aggregated limit order book with all the level 3 feeds coming from multiple venues.
I know, i know, is not that complicated.
But, when trying to make it asset & venue agnostic gets complicated. Plus real time, plus in C#
…. becomes exhausting … 😅
This is what's happening now:
real-time analysis of order book depth and flow can reveal optimal execution windows, even within your chosen
#TWAP
timeframe, to exploit transient liquidity opportunities.
This level of granular insight transforms a straightforward TWAP into a