StockQueryX ek high-performance range-query analytics engine hai jo stock price data par complex queries ko ultra-fast process karta hai using Mo’s Algorithm.
StockQueryX total 6 advanced stock-analysis range queries support karta hai:
- Range me kitne unique price values the.
- Jo price sabse zyada baar aaya ho L–R me.
- Up → Down → Up → Down type direction change count.
- Zig-zag micro-patterns detect karta hai.
- Uptrend
- Downtrend
- Flat trend
- Kitne local maxima (peaks) aaye is range me.
Mo’s Algorithm contiguous range queries ko optimize karta hai by minimizing operations.
O((N + Q) * √N)
Boht speed optimization hota hai especially jab N aur Q bohot bade ho.
O(Q · log Q)
O(1) each
N = 100,000 prices
Q = 100,000 queries
N = 200,000
Q = 200,000
N = 300,000+
Q = 300,000+
Real bottleneck = Browser + device RAM (JS single-threaded).
Algorithmically, Mo’s 500k+ dataset bhi handle kar sakta hai.
Stock market analytics heavily depends on range-based insights:
- Intraday volatility
- Local peaks / dips
- Trend shifts
- Micro-patterns
- Clustering behavior
- Price diversity
Ye sab continuous segments par hote hain → Mo’s Algorithm = perfect match.
For:
N = 100,000
Q = 20,000
Naive:
~2.5 billion operations → browser freeze
Mo’s Algorithm:
~6–7 million operations → fast & smooth
- Trading platforms
- Back-testing engines
- Financial research dashboards
- Market pattern detectors
- Volatility monitors
- Historical price analytics
- Quantitative ML feature extraction