My AI agent conclusion upgradecodes Wall Street roteador e latency real time orders stockmarket

 

#include <pthread.h>

void pin_thread_to_core(int core_id) {

    cpu_set_t cpuset;

    CPU_ZERO(&cpuset);

    CPU_SET(core_id, &cpuset);

    pthread_setaffinity_np(pthread_self(), sizeof(cpu_set_t), &cpuset);

}

echo 1 > /sys/devices/system/cpu/intel_pstate/no_turbo

#include <numa.h>

numa_set_preferred(0);

#include <immintrin.h>

inline double fast_ewma(double price, double predicted, double alpha) {

    __m128d v_price = _mm_set_sd(price);

    __m128d v_pred  = _mm_set_sd(predicted);

    __m128d v_alpha = _mm_set_sd(alpha);

    __m128d v_one_minus_alpha = _mm_set_sd(1.0 - alpha);

    __m128d part1 = _mm_mul_sd(v_price, v_alpha);

    __m128d part2 = _mm_mul_sd(v_pred, v_one_minus_alpha);

    __m128d sum   = _mm_add_sd(part1, part2);

    return _mm_cvtsd_f64(sum);

}

struct Kalman {

    double x = 0.0;   // preço estimado

    double v = 0.0;   // velocidade

    double P = 1.0;   // incerteza

    const double R = 0.01; // ruído do mercado

    const double Q = 0.0001; // ruído do modelo

    inline double update(double price) noexcept {

        // Predição

        double x_pred = x + v;

        double P_pred = P + Q;

        // Correção

        double K = P_pred / (P_pred + R);

        x = x_pred + K * (price - x_pred);

        v = v + K * (price - x_pred) * 0.01;

        P = (1 - K) * P_pred;

        return x;

    }

};

struct HoltWinters {

    double L = 0.0;

    double T = 0.0;

    double alpha = 0.8;

    double beta  = 0.2;

    inline double update(double price) noexcept {

        double L_prev = L;

        L = alpha * price + (1 - alpha) * (L + T);

        T = beta * (L - L_prev) + (1 - beta) * T;

        return L + T;

    }

};

inline double ar1(double price, double phi = 0.9) {

    return phi * price;

}

from numba import njit

@njit(fastmath=True)

def ewma(price, predicted, alpha):

    return alpha * price + (1 - alpha) * predicted

import dpdk

port = dpdk.Port(0)

port.start()

def send_order(symbol, side, destination):

    pkt = dpdk.Packet()

    pkt.write(f"{symbol}|{side}|{destination}")

    port.send(pkt)

from pyverbs.device import Context

from pyverbs.qp import QP

ctx = Context(name='mlx5_0')

qp = QP(ctx)

import hashlib

from numba import njit

@njit(fastmath=True)

def ewma(price, predicted, alpha):

    return alpha * price + (1 - alpha) * predicted

def jitter_ns(ts1, ts2):

    return abs(ts2 - ts1)

def sha256_hex(value):

    return hashlib.sha256(str(value).encode()).hexdigest()

def key_from_hash(h):

    return int(h[:8], 16) % 3  # 0,1,2 → EWMA, Kalman, Holt-Winters

def predictive_router(tick_prev, tick_now, predicted):

    j = jitter_ns(tick_prev.timestamp, tick_now.timestamp)

    h = sha256_hex(j)

    k = key_from_hash(h)

    if k == 0:

        predicted = ewma(tick_now.price, predicted, 0.8)

    elif k == 1:

        predicted = kalman.update(tick_now.price)

    else:

        predicted = hw.update(tick_now.price)

    if predicted > tick_now.price:

        send_order(tick_now.symbol, "BUY", "EXCHANGE_A")

    else:

        send_order(tick_now.symbol, "BUY", "EXCHANGE_B")

    return predicted