> For the complete documentation index, see [llms.txt](https://blockhouse-app.gitbook.io/blockhouse/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blockhouse-app.gitbook.io/blockhouse/core-product/platform-architecture-overview.md).

# Platform Architecture Overview

### **Overview**

Our execution models process real-time and historical market data to generate optimal trade signals, execute orders efficiently, and minimize transaction costs. The core architecture follows this structured flow:

#### **Market Data + Trade Data → Signal Generator → Execution Algorithm → Order Routing**

<figure><img src="/files/Oxt29ipJmcUOY0azBsdc" alt=""><figcaption></figcaption></figure>

By leveraging advanced data ingestion, signal processing, and execution algorithms, our system ensures your orders are executed with minimal market impact while optimizing for liquidity, price improvement, and efficiency.

***

### **Market Data & Trade Data Ingestion**

We aggregate and normalize both **market data (quotes, order book updates, transactions)** and **trade data (historical fills, trade sizes, execution slippage)** in real time to provide the most accurate execution decisions.

#### **Preprocessing & Normalization**

* **Data Cleaning & Standardization:** We remove anomalies, reconstruct missing values, and align timestamps across multiple venues.
* **Trend Adjustments & Seasonality Corrections:** Using advanced filtering techniques (e.g., Kalman filtering), we adjust for market seasonality.
* **Order Book Reconstruction:** Multi-level order books are reconstructed using resampling techniques:
  * **Time-based resampling** (e.g., 100ms intervals for market microstructure studies)
  * **Tick-based resampling** (e.g., per N trades to analyze liquidity shifts)
  * **Order Flow Imbalance resampling** (to dynamically adjust granularity based on activity levels)

These preprocessing steps allow for cleaner and more actionable data, reducing noise and improving execution precision.

**Processing Latency:** X **μs**

***

### **Signal Generation**

Once the data is preprocessed, we compute multiple classes of trading signals to **predict short-term price movements and market impact**, ensuring optimal execution.

#### **Key Indicators & Signal Classes**

1. **Momentum-Based Indicators:**
   * Short-term price trends derived from volume-weighted momentum metrics.
   * Adaptive filters to detect shifts in buying/selling pressure.
2. **Correlated Asset Flow Indicators:**
   * Cross-asset flow relationships to detect liquidity imbalances.
   * Proprietary correlation models trained on historical slippage patterns.
3. **Order Flow Imbalance Indicators:**
   * Real-time monitoring of bid-ask spread pressure.
   * Tracking hidden liquidity signals across multiple venues.

These indicators **dynamically adjust trading parameters** within our execution algorithms, ensuring optimal trade timing and placement.

**Signal Computation Latency:** X **μs**

***

### **Execution Algorithms**

When an order is placed via our API, our **execution algorithms** leverage real-time market data and trading signals to determine **the optimal speed, order size, and routing strategy.**

We offer two primary execution algorithms:

#### **1. Block Timer**

* **Optimized Execution Schedule:** Determines the best time and size to trade while minimizing impact.
* **Superior to TWAP/VWAP:** Unlike traditional algorithms, it adapts to market conditions rather than following static time-based execution.
* **Designed for Institutional Blocks:** Ideal for large trades that require careful market participation.

#### **2. Block Router**

* **Venue & Order Type Selection:** Determines the optimal venue and order type (e.g., limit, market, iceberg) based on market depth.
* **Liquidity-Optimized Routing:** Routes trades to the deepest liquidity pools with minimal slippage.
* **Multi-Asset Execution:** Supports execution across Equities, Fixed Income, Options, and Crypto markets.

Clients can **select their preferred execution algorithm** via our API and customize trading parameters to suit their objectives.

**Order Routing Decision Latency:** X **μs**

***

### **Order Placement & Execution**

Once an execution decision is made, our system routes the order through **integrated EMS/OMS APIs** to ensure seamless placement and confirmations.

#### **Supported Trading Venues**

* **Fixed Income:** Tradeweb
* **Crypto:** Binance, Kraken, Coinbase
* **Equities:** NYSE, Nasdaq, CBOE
* **Equity Options:** Cboe, BOX, ISE
* **Futures:** CME, ICE, Eurex

All order fills are logged and returned via our FIX API, ensuring clients receive full **order confirmations and trade analytics**.

**Order Placement & Execution Latency:** X **μs**

***

### **Ultra-Low Latency Execution**

Our proprietary execution engine ensures that **market data ingestion, signal processing, and order execution occur in less than X μs**—delivering a speed advantage for latency-sensitive trading strategies.

**"From analytics to execution in less than X μs."**