🔮Real-Time Adaptive Prediction Market Engine

Overview

MemeMarket’s Adaptive Prediction Market Engine is built to move at meme speed. Leveraging live on-chain trading data from the Solana network, our platform continuously scans, filters, and ingests liquidity, volume, and price action data using advanced APIs and SDK integration. Unlike static models with manually curated or outdated predictions, our design is fully adaptive, data-driven, and on-chain verified, aligning with actual meme coin volatility and trading behavior.

At the core is a live market generation pipeline powered by Codex APIs and a modular filtering engine that surfaces meme coins based on strict liquidity, volume, and volatility criteria. From this, optimal meme coins are chosen, new prediction questions are randomly created, and assigned movement targets; all without human intervention.

What sets MemeMarket apart isn’t just automation, but trustless resolution. Each market is deployed with a verified entry price, written on-chain using an on-demand oracle; dynamically created for every new market. Once the round ends, the call price is published through the same oracle, enabling fully transparent, contract-readable resolution. This design eliminates off-chain dependencies and guarantees deterministic outcomes.

With no reliance on fixed listings, no emission farming, and no stale markets; MemeMarket’s adaptive engine unlocks a new infrastructure primitive: real-time, oracle-secured prediction markets for meme coin volatility. The result is a system where creation, participation, and settlement all happen on-chain, in sync with real trading conditions. With this MemeMarket delivers a trading experience that’s both technically robust and uniquely tailored to the high-velocity culture of meme coin speculation.

Problems with Traditional Static Models

Most prediction platforms suffer from:

• Static market creation: Manual listings or pre-set questions that don’t evolve with the market = stale, illiquid, easily gamed

• Low relevance: Traders can’t predict fast-moving assets as there is no alignment with real-time market volatility and fast-changing meme narratives

• Fragmented liquidity: Shallow depth due to scattered, outdated questions

• Fixed horizons: Predictive windows don’t adjust to market conditions, limiting engagement

Our Solution: Adaptive, Data-Driven, Fully Automated

✅ Surfaces high-volatility opportunities in real time ✅ Dynamically configures question parameters (e.g., % price movement, time horizon) ✅ Automates the creation of meme-native prediction markets; without relying on centralized curators

High-Level System Design

We’ve architected MemeMarket’s prediction generation as a real-time data pipeline with adaptive, automated market creation. It ingests live on-chain trading data, applies eligibility rules, randomizes questions and market parameters, and deploys fresh markets automatically.

This design ensures:

• Fresh markets aligned with real trading flows

• Unbiased, randomized question generation

• Scalable across chains and liquidity sources

Technical Strategy for On-Chain Data Integration

MemeMarket’s adaptive market generation relies on continuously updated, on-chain data streams that accurately reflect the chaotic meme coin landscape. We use Codex’s GraphQL API and Typescript SDK as our primary data ingestion and aggregation layer. This approach lets us:

✅ Query DEX trading activity in real time across the Solana network

✅ Filter assets by liquidity pools, price, volume, and transaction data

✅ Perform granular field-level selection via GraphQL for precisely the fields needed in our eligibility criteria

✅ Standardize heterogeneous DEX data into consistent, parseable formats

✅ Rapidly iterate on criteria via Typescript SDK integration in our market selection engine

To anchor this off-chain data to on-chain execution, we integrate Switchboard’s On-Demand Oracle System. When a new prediction market is generated, a dedicated Switchboard oracle feed is deployed for that market, initialized with the token address and entry price. The price is sourced from our backend via Codex APIs and submitted through a custom endpoint. This lets the smart contract access verifiable entry and exit prices without relying on external feeds or centralized inputs.

Step-by-Step Market Generation Pipeline

Step 1: Live Data Ingestion

• Fetch real-time trading data from Codex APIs

• Query gainers/losers lists, trading volume, liquidity pools

• Use GraphQL to retrieve only necessary fields for efficient bandwidth usage

Step 2: Data Aggregation & Normalization

• Aggregate and batch Codex API responses via Typescript backend

• Normalize heterogeneous DEX fields (symbol, address, price, volume)

• Store rolling snapshots in internal asset state database (Postgres/Timescale) for trend analysis

Step 3: Eligibility Filtering

• Apply customizable criteria to filter viable tokens:

  • Minimum 24h volume: $1M+

  • Market cap: $5M–$200M

  • Price movement: -90% to +10,000%

• Rules engine supports chain-specific configurations and admin overrides

Step 4: Randomized Market Generation

• For eligible tokens:

  • Randomly assign meme ID, symbol, network

  • Randomly generate prediction question (e.g., “Will $FARTCOIN rise 3% in 6 hours?”)

  • Randomly pick % move target (1–5% up or down)

• Avoids cherry-picking or manual bias

Step 5: Market Configuration & Deployment

• Define market parameters:

  • Entry snapshot price

  • Call price target or time-based expiry

  • Interval duration (e.g., 6 hours)

  • Quote token (SOL)

• Store market configuration on-chain for transparency

Step 5.1: On-Demand Oracle Feed Initialization

• Upon market deployment, an on-demand oracle feed is created on Switchboard

• Admin submits token address and snapshot price via backend

• A custom price publishing endpoint relays Codex API data to the oracle

• Smart contracts can now reference this on-chain price feed

Step 6: Continuous Monitoring & Settlement

• Periodically poll Codex data for updated price feeds

• At end of market (or early call condition met), snapshot final price via Switchboard

• End-market transaction triggers smart contract logic for:

  • Liquidity reward distribution

  • Settlement of winner/loser pools

  • Closing and recording of market outcome

Technical Architecture Details

Data Sources and APIs

• Primary data from Codex’s GraphQL and Typescript SDK

• Query top gainers/losers, liquidity pools, and volume

• Use dynamic queries to customize eligibility thresholds and filters

Data Aggregation Layer

• Node.js/Typescript services for batched API calls

• Normalization into standard schemas

• Cached storage in SQL DB for snapshot history and analysis

Filtering & Rules Engine

• Configurable logic for:

  • Volume thresholds

  • Price movement windows

  • Market cap ranges

• Admin interface to adjust settings without redeployment

Market Selection Module

• Applies eligibility criteria

• Randomized question generation to ensure fairness

• Configurable for network-specific logic

Market Registry & Deployment

• Saves finalized market configuration to blockchain

• Immutable records for auditing

• Switchboard Oracle feed created per market for verifiable pricing

• Smart contracts reference feed for entry and call price

Real-Time Monitoring

• Periodic price polling via Codex

• Settlement conditions checked against Switchboard oracle feed

• Triggered end-market events invoke backend reward logic

MemeMarket’s Real-Time Adaptive Prediction Market Design is not just a technical innovation; it’s the infrastructure layer that meme coins have been missing. By combining real-time on-chain data with deterministic price validation through an on-demand oracle, MemeMarket ensures fairness, automation, and trustlessness at every stage; from question generation to market resolution. It’s how prediction markets should work in the world’s fastest-moving, most viral asset class.