🚀 Dive deep into market microstructure to reveal real-time, intricate market behaviors.
🚀 See what others miss in the market for a smarter trading edge.visualHFT.comJoined November 2023
The following paper leveraged #VisualHFT to study the Probability of Informed Trading in volatile market conditions.
papers.ssrn.com/sol3/papers.cf…
“In this research, we analyze the liquidity of the QQQ ETF during the trading session of 2024-08-01—a high-volume, high-volatility day—to…
I’ve often been asked how VisualHFT is built.
Well, here is a hint 👇
This is fully available with full open source code in github.
We are looking forward to hearing from the community to see what we can build together.
#software#quants#opensource#github#visualHFT
I’ve often been asked how VisualHFT is built.
Well, here is a hint 👇
This is fully available with full open source code in github.
We are looking forward to hearing from the community to see what we can build together.
#software#quants#opensource#github#visualHFT
What powers #VisualHFT under the hood?
The open-source repo isn’t just a set of connectors and widgets (plugins), it’s a full framework for high-performance market analytics.
→ Pub/Sub data bus for clean modularity
→ Custom object pooling to minimize GC pressure
→ Optimized…
Is VisualHFT Compatible with #macOS?
We hear this question a lot — and here’s the deal:
VisualHFT is built on .NET/WPF, which is a Windows-native framework.
Although it isn’t natively compatible with macOS, many of our users successfully run it on Macs using virtual machines…
Why L3 market data matters 👇
Because it goes beyond top-of-book snapshots and delivers every single order event—placements (adds), updates, cancels and matches, all in real time.
That order-by-order view helps you spot hidden features of the limit order book and anticipate…
Having Level 3 market data means that the insights we can get from the market could be extremely interesting.
For example:
- Trackinf liquidity flows order by order
- spot hidden iceberg orders as they surface
- ability to adapt the execution tactics on the fly based on these…
Having Level 3 market data means that the insights we can get from the market could be extremely interesting.
For example:
- Trackinf liquidity flows order by order
- spot hidden iceberg orders as they surface
- ability to adapt the execution tactics on the fly based on these…
We get asked all the time series:
What’s the real difference between our #VisualHFT on GitHub and the commercial version?
On #GitHub you’ll find the essentials: connectors to major crypto exchanges, L2 order-book snapshots, and a friendly community sharing ideas and plugins.…
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