C ++

Everyone in fintech screams Python, Rust, Go.

But where real money moves – where billions of dollars are decided in microseconds – one language still sits unchallenged on the throne: C++, the Silent Queen.

History has proven it over and over:

*Early 2000s → Getco, Citadel, Optiver built the first ultra-low-latency HFT empires entirely in C++

*2010 → Chicago–NY microwave links went live – the code that shaved 80 µs was C++

*2015 → Jane Street, Jump Trading, Tower Research migrated all low-latency layers to C++14/17

*2020 → CME Globex matching engine upgraded to C++20 → 20 + million messages/sec

*2023 → Binance Futures hit 12 million orders/sec with C++20 + lock-free ring buffers

*2025 → The three largest crypto exchanges (Binance, Bybit, OKX) still run their futures matching engines on C++

Today the heart of global finance beats in C++:

*CME, ICE, Eurex, SGX → core matching engines

*Visa & Mastercard → deepest real-time fraud scoring layers

*JPMorgan, Goldman Sachs, Morgan Stanley → nanosecond risk layers

*Two Sigma, Renaissance, DE Shaw → vectorised alpha cores with SIMD

*Adyen, Stripe Treasury backend, Wise → critical high-throughput batch layers

Where will C++ live inside Finorys in 2030?

1. Billions of real-time Algorithmic Keys every 8 seconds

5 billion users → C++23 + SIMD + custom memory pools

Target: 0.7 µs per key

2. Global peer-to-peer lending matching engine

100 million concurrent users → lock-free hash maps + flat combining

Target: 400–600 nanosecond decision latency

3. Post-quantum cryptography

Kyber-1024 + Dilithium compiled straight to silicon in C++

4. Heaviest vectorised Growth Score calculations

Called from R via RcppEigen → AVX-512, millions of scores per cycle

5. Zero-downtime, zero-garbage, zero-overhead 40 years of “never-die” discipline, 100 % uptime

In 2030, when someone enters their 11-digit Algorithmic Key:

*R will predict their future wealth

*Java will carry the transaction safely around the world

*C++, the Silent Queen, will make the final decision in 300–500 nanoseconds

Because in 2030 finance won’t be “fast”.

It will be ahead of light.

And only the Silent Queen runs ahead of light.

Python tells beautiful stories.

R tells the truth.

Java gives you trust.

C++ makes you the money.

Finorys uses all of them.

But in the deepest, most critical nanosecond – our hand is on C++.

Because one microsecond = one fortune.

And fortunes are still written by the Silent Queen.