feat: Implement advanced AI prediction market system

[WillNovus]

Closes #66

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This PR introduces an advanced on-chain prediction market mechanism using crowd-sourced wisdom and integrates it directly with the existing analytics contract structure.

Key Features

• Prediction Market Module (contracts/prediction-market):
  • Implemented create_market for defining prediction targets based on AI metrics or Oracle data.
  • Added crowd-sourced stake_prediction(market_id, direction) allowing users to forecast using long/short positions.
  • Built a zero-floating-point arithmetic payout algorithm in claim_reward that safely apportions the losing pool to accurate predictors under no_std constraints.
  • Implemented UserReputation tracking that inherently adjusts user accuracy metrics based on success rates, generating scalable confidence weights.
  • Added submit_backtest_data to allow off-chain ML validations to publish proofs directly onto the blockchain's event log.
• Analytics Integration (contracts/analytics):
  • Introduced the MarketSentiment structure defining the crowd's bull vs. bear token volume distributions.
  • Added update_market_sentiment() endpoint to aggregate market predictions seamlessly.
  • Refactored the MarketReport generator to dynamically combine sentiment metrics alongside standard data.

Validation

• Validated logic using native cargo test suites in both prediction-market and analytics modules, ensuring all math remains integer-based and strictly compatible with ink! smart contracts.
• Configured and linked the new contract to the main workspace Cargo.toml.

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[LaGodxy]

@WillNovus resolve conflicts.

[WillNovus]

@LaGodxy The conflict have been resolved. Please review.