# Visualizing Trade Insights: Pre & Post-Trade Dashboards

{% tabs %}
{% tab title="Pre-Trade" %}

## Overview

#### **What is the Dashboard?**

The **Blockhouse Pre-Trade Execution Analytics Dashboard** provides **real-time and historical insights** into trade execution quality, market conditions, and algorithmic strategy performance. It is designed to help traders and analysts monitor market impact, optimize execution strategies, and dynamically adjust orders based on live trading conditions.

<figure><img src="/files/ztEwWHgZIQTO5xpUIk4F" alt=""><figcaption></figcaption></figure>

#### **Who is it for?**

* **Buy-Side Traders & Portfolio Managers** – Monitor execution efficiency and slippage in real time.
* **Sell-Side Execution Desks** – Optimize order routing and minimize market impact.
* **Risk & Compliance Teams** – Ensure regulatory adherence and identify execution inefficiencies.

#### **Current Access & SDK Roadmap**

Currently, the dashboard is available via the **Blockhouse Web Portal**. Clients can log in at:

Blockhouse Client Portal

**Coming Soon:** The SDK will allow programmatic access to dashboard data, including:

* Retrieving execution analytics for specific trades.
* Fetching slippage, market impact, and venue performance metrics.
* Embedding dashboard components into proprietary trading platforms.

**Estimated SDK Release:** **Q2 2025**

Interested in early access? Contact **<support@blockhouse.capital>**.

***

### **2. Key Features**

Below are **detailed descriptions** of each dashboard component, including any important features and charts.

#### **2.1 Current Price Trends & Market Pressure** (Top-Left)

**What It Shows:**

* A **line chart** tracking the selected asset’s intraday mid-price.
* **Annotations** (e.g., “Mid Price Trend Line,” potential high/low points).

**Key Features:**

* **Type of Asset & Asset Option**:
  * Drop-down menus at the top allow users to pick the **asset class** (Equity, etc.) and a specific **ticker** (e.g., AAPL).
  * Selecting a different asset immediately refreshes this chart (and all others).
* **Hover Tooltips**:
  * Display the exact time and mid-price.
* **Trend Analysis**:
  * The line updates in real time, showing how price evolves throughout the session.

**Why It Matters:**

* Gives traders a quick snapshot of **current price action** and potential **support/resistance** areas.

<figure><img src="/files/vdD0MoX0sawvwNUgzwoT" alt=""><figcaption></figcaption></figure>

***

### 2.2 **Current Order Flow Imbalance** (Top-Right)

**What It Shows:**

* A **horizontal bar chart** of net buying/selling volume at various **price levels**.

**Key Features:**

* **Y-axis**: Price levels
* **X-axis**: Number of orders
* **Live Imbalance**: Updates in near-real-time to show shifts in the order book.

**Why It Matters:**

* Helps traders identify **concentrations of buy vs. sell pressure** at different price points, guiding decisions on where liquidity might be found or thin.

<figure><img src="/files/AiJaBNeMvIp2CT4b8yz0" alt=""><figcaption></figcaption></figure>

***

### 2.3 OFI (Middle-Left)

OFI means order flow imbalance. For this chart, it tracks the historical and current OFIs.

**What It Shows:**

* A **line chart** over time, illustrating the change of order flow imbalance..

**Key Features:**

* **Time Series**: Each point reflects the OFI value at a given minute.
* **Hover Tooltips**: Show exact OFI value and timestamp.
* **Comparisons**: Users can correlate OFI peaks/dips with the main price chart or the RSI chart.

**Why It Matters:**

* Provides a **supplementary metric** for analyzing how market conditions or order flow might be impacting the price over time.

<figure><img src="/files/5loOGYCEevo6LFzjEFfD" alt=""><figcaption></figcaption></figure>

***

### 2.4 **Predicted Total Impact Cost** (Middle-Right)

**What It Shows:**

* A **box-and-whisker plot** comparing predicted execution costs (in bps) across different “Platforms” or “Algorithms.”

**Key Features:**

* **Platforms/Algorithms**: For instance, “Blockhouse.”
* **Box Plot Ranges**:
  * **Median line** inside each box.
  * **Interquartile range** (box) indicates the middle 50% of predicted costs.
  * **Whiskers** show the extent of typical cost variation.
  * **Outliers** appear as dots beyond the whiskers.
* **Hover Tooltips**: Provide exact numeric values (min, median, max).

**Why It Matters:**

* Allows quick **comparison** of potential execution costs across different routes or strategies, highlighting where **impact** might be higher or lower.

<figure><img src="/files/Vald741K3Qv2DhxkxlHE" alt=""><figcaption></figcaption></figure>

***

### 2.5 **RSI** (Bottom-Left)

**What It Shows:**

* A **Relative Strength Index** line chart (typical 14-period RSI).

**Key Features:**

* **0–100 Scale**:
  * Values >70 may indicate **overbought** conditions; <30 may indicate **oversold** conditions.
* **Time Axis**: Aligns with the main price chart for easy correlation.
* **Hover Tooltips**: Show RSI value at each time interval.

**Why It Matters:**

* RSI is a **momentum oscillator**, helping traders gauge if the asset is potentially due for a reversal or continuing trend.

<figure><img src="/files/UXjUFyEARNmFP89Y7LFa" alt=""><figcaption></figcaption></figure>

***

### 2.6 **Venue Impact Table** (Bottom-Right)

**What It Shows:**

* A **heatmap** layout of predicted execution costs (in bps) across **time** (rows) and **exchanges** (columns).

**Key Features:**

* **Rows**: Trading time slots (e.g., 9:00 AM, 10:00 AM, 11:00 AM).
* **Columns**: Major venues (e.g., LSE, NASDAQ, NYSE).
* **Cell Colors**: Darker cells typically indicate higher cost, lighter cells indicate lower cost.
* **Hover Tooltips**: Show the exact predicted bps for each venue/time slot.

**Why It Matters:**

* Facilitates **venue selection** and **timing decisions**. If a certain exchange at a certain hour is predicted to have high impact, traders can schedule or route orders more optimally.

<figure><img src="/files/u9Tj3Aa8OBD5hvv58sXB" alt=""><figcaption></figcaption></figure>

### **User Interactions & Parameters**

#### **1. Asset Selection**

* **Type of Asset** and **Asset Option** parameters at the top.
* **Available Types:** equities, fixed income, etc. **Available Assets:** AAPL, MSFT, CT5, etc.
* **Effect:** Changing these updates **all** relevant charts simultaneously (price, RSI, order flow imbalance).

#### **2. Hover Tooltips**

* Most charts have **interactive tooltips** showing context-specific details (e.g., exact price, RSI value, or predicted cost).
* **Contextual information** appears when hovering over charts.
* Example: `"Mid Price at 09:30: $229.10"`

#### **3. Filter & Drill-Down (Coming Soon in SDK)**

* **Customizable time windows:** Planned for the SDK release: users can specify custom time windows or intervals to **zoom in** on critical market periods.
* **Exchange filters:** The bottom-right table can be **filtered** to isolate specific exchanges or compare multiple venues side by side..

***

### **3. Dashboard Architecture & Data Sources**

The dashboard is powered by a robust real-time data pipeline integrating multiple sources:

#### **Data Inputs**

* **Prices** – Real-time asset prices (e.g., AAPL, MSFT).
* **Order Book & Imbalance Data** – Aggregated net buying/selling pressure at each price level.
* **Predicted Total Impact Cost** – Simulated or precomputed total impacts from various platforms and algorithms.
* **Predicted Execution Impact** – Estimated basis-point costs per venue (NYSE, NASDAQ, LSE) over future time horizons.

#### **Dashboard Components**

1. **Intraday Mid-Price Line Chart**
   * **X-axis:** Time (intraday).
   * **Y-axis:** Mid Price.
   * **Annotations:** High/Low points for quick reference.
   * **User Parameter:** Select an asset (AAPL, MSFT).
2. **Current Order Flow Imbalance (Bar Chart)**
   * **X-axis:** Net imbalance (in millions of shares).
   * **Y-axis:** Price levels.
   * **Interpretation:** Negative values indicate selling pressure, positive values indicate buying pressure.
3. **Predicted Total Impact Cost (Box Plot)**
   * **Shows:** Expected impact cost distributions for Algorithms and Platforms.
   * **Insights:** Wider ranges indicate higher volatility or uncertainty.
4. **RSI & Order Flow Imbalance (Time Series)**
   * **RSI Indicator:** Measures momentum (0-100 scale).
   * **Order Flow Imbalance Overlay:** Tracks historical net buying/selling pressure.
5. **Venue Impact Table (Heatmap)**
   * **Rows:** Future time slots (e.g., 9:00 AM, 10:00 AM…).
   * **Columns:** Venues (NYSE, NASDAQ, LSE).
   * **Color Coding:** Higher execution costs appear in darker colors.

***

### **4. Data & Field Definitions**

Below are the key data fields available through the dashboard and (soon) via SDK.

| **Field**              | **Description**                                  | **Unit**           |
| ---------------------- | ------------------------------------------------ | ------------------ |
| `time`                 | Intraday timestamp                               | HH:MM (24-hour)    |
| `mid_price`            | Midpoint of best bid & ask                       | USD                |
| `RSI`                  | 14-period Relative Strength Index                | (0–100)            |
| `order_flow_imbalance` | Net buy/sell volume difference                   | # of shares        |
| `algorithm`            | Trading strategy identifier (A, B, C)            | Categorical        |
| `predicted_impact`     | Estimated execution cost                         | Basis points (bps) |
| `exchange`             | Trading venue (NYSE, NASDAQ, LSE)                | String             |
| `price_level`          | Price points for order flow imbalance chart      | USD                |
| `algorithm`            | Trading strategy                                 | Categorical        |
| `platform`             | Execution platform or route (e.g., “Blockhouse”) | Categorical        |
| {% endtab %}           |                                                  |                    |

{% tab title="Post-Trade" %}

## coming soon..

{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://blockhouse-app.gitbook.io/blockhouse/core-product/visualizing-trade-insights-pre-and-post-trade-dashboards.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.