LUKA – Data Ingestion and Historical Intelligence Module
LUKA remembers everything, so SIPA can predict anything.
🧠 What is LUKA?
LUKA (Logical Unified Knowledge Aggregator) is SIPA’s core module for data ingestion, pre-processing, and storage. It’s the engine responsible for continuously collecting, structuring, and updating real-time and historical market data across multiple exchanges and sources.
LUKA is the primary intelligence source for AI/ML modules like DABI
, SAAN
, and analytics tools like JAAN
. It ensures the data flow is consistent, complete, and coherent — and ready for feature extraction, modeling, and backtesting.
🔄 Core Responsibilities of LUKA
-
Historical Data Collection:
-
Pulls OHLCV and tick-level data from Kraken, Binance, Coinbase, and others via
VIDA
. -
Automatically detects and fills missing data windows.
-
Stores all price, volume, and order book snapshots with timestamp integrity.
-
-
Real-Time Data Stream Processing:
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Collects live market feeds and streams into SIPA’s internal data warehouse.
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Supports millisecond-level updates (where exchange permits).
-
-
Sentiment Data Aggregation:
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Ingests data from external APIs (CryptoPanic, CoinGecko, Twitter, Reddit, news RSS).
-
Applies lightweight NLP filters to score sentiment and headline polarity.
-
-
Metadata Management:
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Tracks per-asset metadata such as token launch date, trading volume history, market status, and exchange support flags.
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Used to auto-filter inactive or illiquid pairs from SIPA’s live universe.
-
-
Database Sync & Format Normalization:
-
Stores all ingested data in MariaDB (or
.csv
fallback). -
Normalizes across exchanges using a unified schema for easy cross-asset analysis.
-
-
Resilience & Redundancy:
-
Retries failed downloads with exponential backoff.
-
Syncs with backup sources if primary APIs are unavailable.
-
🧩 LUKA’s Role in SIPA Architecture
Module | Dependency |
---|---|
VIDA |
Provides raw API connections and exchange access |
ROKO |
Receives structured data from LUKA for feature engineering |
DABI |
Trains ML models on LUKA’s full historical dataset |
SAAN |
Uses state-action histories for offline RL training |
JAAN |
Pulls data for reporting and visualization |
MARK |
Monitors uptime and health of LUKA ingestion processes |
📊 Supported Data Types
-
OHLCV (1m, 5m, 15m, 1h, 4h, 1d)
-
Tick-by-Tick Trade Data
-
Order Book Snapshots (L1, L2)
-
Funding Rates, Open Interest, Perpetual Swap Metrics
-
Sentiment Scores & Headlines
-
Exchange Status & Pair Metadata
🗄️ Storage & Format Details
Type | Format / Storage Mechanism |
---|---|
Structured Data | MariaDB (via SQLAlchemy ) |
Fallback Mode | .csv with versioned timestamped files |
Column Standards | timestamp , symbol , exchange , open , high , low , close , volume , sentiment_score |
Retention Policy | Configurable (default: 12 months raw, archive to cold storage) |
-
🔐 Security, Sync & Redundancy
-
All data writes validated with schema checks
-
Daily backups to local and remote targets (planned: IPFS sync)
-
Sync queue with
asyncio
+backoff
retry logic -
Can run as a standalone daemon or triggered batch mode
-
🚀 SEO Summary
-
Crypto data ingestion module for trading bot platforms
-
Real-time and historical OHLCV downloader for AI trading
-
Multi-exchange data collector for ML/AI crypto systems
-
Crypto market data pipeline with sentiment analysis feed
-
Data ingestion and preprocessing layer for trading AI bot
👨💻 Who Benefits from LUKA?
-
AI Developers: Clean, structured data ready for training and inference
-
Quant Researchers: Deep historical datasets for strategy testing
-
Analysts: Full market history per asset with sentiment overlays
-
Traders: Backtest your edge with real-world market conditions
-
SaaS Users: Never worry about missing data or exchange outages
🔮 Roadmap (Q1–Q3 2026)
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GPU-accelerated ingestion using RAPIDS.ai
-
Decentralized backup to IPFS / Arweave
-
NLP-based full-text sentiment parser (headlines, tweets)
-
Ingest on-chain metrics (DEX volume, wallet activity)
-
Web UI to control ingestion sources & sync status (
TATA
dashboard)
✅ Recap:
LUKA is the data heartbeat of SIPA.
No predictions, trades, signals, or analytics happen without it.
In a system obsessed with intelligence, LUKA is the memory — deep, fast, and brutally precise.

Evolving with Monitoring and Rebalancing
Your financial voyage is an ongoing process. Regular evaluations of your mutual fund investments are pivotal to ensure alignment with your objectives. Fluctuations in market values necessitate periodic rebalancing for optimal risk and return management.

Flexible Trading Modes
SIPA adapts to your comfort level and trading style with three distinct operational modes


Leverage cutting-edge AI algorithms and machine learning to transform your cryptocurrency trading strategy. Let your portfolio grow while you focus on what matters.