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High-Cadence Quant Telemetry Stream

Z-Bot Quant Signal API: Positive Mathematical Expectancy directly to your code

Stop chasing noisy charts. Z-Bot streams verified quantitative market signals (Net EV > +0.05%) over low-latency REST and WebSocket feeds. Copy our starter notebook, plug in your exchange API keys, and execute with disciplined algorithmic edge.

Net EV > +0.05% Strict ThresholdREST & WebSocket EndpointsFree Jupyter Starter Pack Included
> +0.05%
Minimum Net EV Hurdle
< 35ms
WebSocket Push Latency
64.2%
Historical Signal Win Rate
10,000+
Asset Pairs Screened / Sec
THE QUANT RETAIL GAP

The Problem: Expensive Infrastructure & Subjective Chasing

Developers and retail traders want to build algorithmic trading bots but lack the expensive backend infrastructure, high-speed data feeds, and mathematical modeling to find clean trading edges. Chasing chart patterns and sentiment leads to emotion-driven drawdowns and missed exits.

Plain-English Solution (For Traders)
“Stop chasing the market. Z-Bot streams mathematical trading signals directly to your personal algorithms. Built on mathematical expectancy models, Z-Bot screens top asset pairs to find clean, verifiable market entries. No complex setup or math degrees required—just copy our starter code, plug in your exchange API keys, and let the system run.”

Mathematical Edge

Every signal passes rigorous EV thresholds, VWAP standard deviation bands, and EMA momentum filters.

Zero Emotion Execution

Exact numerical take-profit ladders, stop-loss price levels, and conservative Kelly position sizing fractions.

Turnkey Starter Pack

Download our ready-to-run Jupyter backtest notebook and begin testing with historical market data in minutes.

DEVELOPER INTEGRATION & TELEMETRY SCHEMAS

WebSocket Streaming, Net EV Models & Starter Notebook

Plug directly into your Python bots, CCXT routines, or cloud worker lambdas with low latency.

Real-Time Async Signal Listener (Python 3.10+)

Connects to `wss://api.kustomcode.xyz/v1/zbot/signals` with automatic keep-alive.

import asyncio
import websockets
import json

API_KEY = "your_zbot_api_key_here"
WS_URL = f"wss://api.kustomcode.xyz/v1/zbot/signals?key={API_KEY}"

async def stream_zbot_signals():
    async with websockets.connect(WS_URL) as ws:
        print("[CONNECTED] Streaming positive mathematical expectancy signals...")
        while True:
            raw_msg = await ws.recv()
            signal = json.loads(raw_msg)
            
            # Execute only if Net EV exceeds our execution threshold
            if signal["expectancy_telemetry"]["net_ev"] > 0.05:
                print(f"[SIGNAL DETECTED] {signal['direction']} {signal['symbol']}")
                print(f"  Entry: {signal['entry_zone']['min']} - {signal['entry_zone']['max']}")
                print(f"  Net EV: +{signal['expectancy_telemetry']['net_ev'] * 100:.2f}% | Kelly: {signal['expectancy_telemetry']['kelly_fraction']}")
                # Plug directly into your CCXT or Alpaca execution routine

asyncio.run(stream_zbot_signals())

Signal Payload Schema & Mathematical Expectancy Fields

Complete JSON telemetry emitted for every verified trade setup.

{
  "signal_id": "sig_eth_20260907_164500",
  "symbol": "ETH/USDT",
  "exchange": "BINANCE",
  "timestamp": "2026-09-07T16:45:00.120Z",
  "direction": "LONG",
  "entry_zone": {
    "min": 3410.50,
    "max": 3415.00
  },
  "stop_loss": 3382.00,
  "take_profit_levels": [
    { "target": 3460.00, "allocation_pct": 50 },
    { "target": 3510.00, "allocation_pct": 50 }
  ],
  "expectancy_telemetry": {
    "net_ev": 0.082,                 // Net EV > +0.05% threshold verified
    "win_rate_historical": 0.642,    // 64.2% historical sample win-rate
    "profit_factor": 2.15,
    "risk_reward_ratio": 2.38,
    "regime": "TRENDING_VOLATILE_EXPANSION",
    "kelly_fraction": 0.18,          // Recommended conservative position sizing
    "filter_passes": {
      "ema_confluence": true,
      "vwap_stdev_band": "LOWER_REVERSAL_ZONE",
      "fastmcp_risk_governor": "APPROVED"
    }
  }
}
DEVELOPER STARTER PACK

Download `zbot-starter-pack.zip` & Pre-Configured Jupyter Notebook

Includes `quant-backtest-example.ipynb`, sample historical JSON signal logs, environment config templates, and automated trade sizing scripts. Up and running in under 5 minutes.

Choose Your Developer or Trader Tier

Instant API key provisioning with automatic rollover and PayFast / Card checkout.

ENTRY DEVELOPER TIER

DEVELOPER MARKET & SIGNALS API

Direct REST API & WebSocket endpoints for live market indicators, regime states, and signal streams.

$9.99/ month
  • High-Cadence REST & WebSocket Endpoints
  • EMA 9/20, VWAP & Regime Classifiers
  • Crypto & Equities Ticker Feeds
  • JSON Output Compatible with Python & Node
  • Instant API Key Issuance via Email
MOST POPULAR FEED

QUANT TELEMETRY FEED (SIGNALS)

Real-time algorithmic trading signals ($EV_net > +0.05%) formatted for Telegram VIP & PrimeXBT distribution.

$49/ month
  • Real-Time Telegram VIP AI Signal Alerts
  • PrimeXBT Compatible Webhook Payloads
  • EMA 9/20 & VWAP Expectancy Rationale
  • 100% Non-Advisory Raw Telemetry Stream
  • Instant Provisioning & ECTA §44 Waiver
ALGORITHMIC NODE

Z-BOT PRO TRADER SAAS

Dedicated cloud algorithmic node on zbot.kustomcode.xyz with Alpaca paper/live execution & dynamic screener.

$99/ month
  • Dedicated Z-Bot Terminal Node Access
  • Alpaca Paper & Live Execution Engine
  • 10,000+ Asset Dynamic Screener
  • AES-256 Encrypted Key Vault
  • $50.00/mo API Quota Limit