BBX Index Price
1. Overview
The RWA Index is a set of real-time price indices based on multi-source data aggregation, designed to provide users with a fairer and more robust price reference for Real World Assets.
The core concept of this index is: by simultaneously collecting quote data from multiple independent trading platforms and applying a scientifically calibrated statistical algorithm to filter outliers and perform weighted aggregation, it produces a composite price indicator that better reflects actual market conditions.
2. Data Sources
The RWA Index is calculated based on real-time quotes from the following four independent data sources:
Ondo
Provides on-chain RWA asset trading data
XStocks
Provides real-time market quote data
BBX Token
Provides real-time market quote data
Interactive Brokers
Provides real-time market quote data
The multi-source design ensures that the index will not be distorted by anomalous quotes from any single platform, improving data reliability and quote fairness.
3. Index Calculation Methodology
3.1 Data Cleaning & Validation
Before calculation, the system performs strict validation on each data source:
Data Completeness: Quotes must contain valid price information; data with missing key fields will be excluded.
Numerical Validity: Quotes must be correctly parseable as valid numbers; data with format anomalies will be filtered out.
Only data sources that pass all of the above validations will participate in the index calculation.
3.2 Core Algorithm: Median-Constrained Average Method
The RWA Index employs a three-step aggregation algorithm: 'Median + Deviation Constraint + Equal-Weight Average.' This method retains the reference value of each platform's quotes while effectively suppressing the impact of anomalous quotes on the index.
Step 1: Calculate the Median
Sort all valid data source quotes in ascending order and take the middle value as the median. If the number of sources is even, take the arithmetic average of the two middle values. The median serves as the reference baseline for the 'market consensus price.'
Step 2: Deviation Constraint (±3%)
Using the median as the baseline, set a reasonable fluctuation range of ±3%. Any quote exceeding this range will be automatically clipped to the boundary value. This mechanism effectively prevents an anomalous quote from any single platform (e.g., an instantaneous extreme price deviation) from having an outsized impact on the final index.
Step 3: Equal-Weight Average
Compute the equal-weight average of all constrained source quotes — each valid source carries the same weight in the final result. For example:
2
50%
(Price₁ + Price₂) ÷ 2
3
33.3%
(Price₁ + Price₂ + Price₃) ÷ 3
4
25%
(Price₁ + Price₂ + Price₃ + Price₄) ÷ 4
3.3 Calculation Example
Suppose at a given moment, the four data sources provide the following closing quotes for an asset:
Ondo
100.50
XStocks
101.20
BBX Token
100.80
Interactive Brokers
108.00
Calculation Process:
Sort: 100.50, 100.80, 101.20, 108.00
Median = (100.80 + 101.20) ÷ 2 = 101.00
Deviation constraint range: 101.00 × 97% = 97.97 ; 101.00 × 103% = 104.03
Interactive Brokers quote 108.00 exceeds the upper bound; clipped to 104.03
Final Index = (100.50 + 101.20 + 100.80 + 104.03) ÷ 4 = 101.63
Through this algorithm, Interactive Brokers's anomalously high price of 108.00 is effectively suppressed, preventing any single platform's quote from unduly inflating the index.
4. Degradation & Fault-Tolerance Mechanism
The RWA Index has a robust degradation-handling capability, ensuring stable index service even when some data sources are unavailable.
4.1 Multi-Source Degradation Strategy
4
Full three-step aggregation algorithm
Normal
2–3
Aggregation executed with available sources
Degraded
1
Uses the previous minute's index price; falls back to the single source if no history exists
Single-Source Degraded
0
Index calculation paused for that minute
Paused
4.2 Fault-Tolerance Principles
Minute-Level Isolation: A calculation failure in a single minute does not affect index calculations at other time points.
Data Source Independence: An anomaly in one data source does not affect the normal participation of other sources.
Transparent Traceability: Each minute's calculation result includes the number of active sources and calculation status, enabling users to assess data quality.
5. Index Display Metrics
The RWA Index provides users with the following core metrics:
Current Price
The most recent calculated index price
Today's Open
Opening price of the first minute candle of the current trading day
Today's High / Low
Highest and lowest prices from intraday minute candles
Previous Close
Closing price of the last minute candle from the prior trading day
Price Change
Current Price − Previous Close
Change %
(Price Change ÷ Previous Close) × 100%
Active Sources
Number of data sources currently participating in the index calculation (0–4)
Calculation Status
Current operational state: Normal / Degraded / Single-Source Degraded / Paused
6. Index Status Descriptions
Users can use the index status to assess the current reliability of the data:
Normal
All data sources are participating; index reliability is highest
Degraded
Some sources are missing; index is still aggregated from multiple sources; reliability remains high
Single-Source Degraded
Only 1 source remains; historical price smoothing is applied; reliability is lower
Paused
No available data sources; index updates are suspended; monitor for status changes
7. Algorithm Design Philosophy
7.1 Why Multi-Source Aggregation?
A single data source may exhibit bias due to insufficient liquidity, system failures, or market microstructure differences. Multi-source aggregation significantly reduces the impact of any single platform's pricing deviation on the index, providing a more representative price reference.
7.2 Why a ±3% Deviation Constraint?
The ±3% deviation constraint is a reasonable threshold calibrated to the characteristics of the RWA market. It allows for normal price differences between platforms (e.g., supply and demand variations across venues) while effectively filtering out clearly anomalous quotes — striking a good balance between sensitivity and robustness.
7.3 Why Equal-Weighting instead of Weighted?
The RWA Index assigns equal weight to all valid data sources rather than weighting them by trading volume or other factors. This is because the RWA market is still in its early stages of development, and trading volumes across platforms may fluctuate significantly. Equal-weighting avoids introducing additional uncertainty from less stable weighting metrics.
Disclaimer
The RWA Index is provided as a market price reference only and does not constitute any investment advice. The accuracy of the index depends on the quality and availability of underlying data sources. Users should conduct comprehensive due diligence from multiple sources before making any trading decisions.
Last updated