Moving Average Crossover

Detect Golden Cross (EMA50 × EMA200), Death Cross, and short-term EMA 20/50 crossovers using 1 year of daily candle data.

Live data Updated: Oct 30, 2026, 11:50 PM
2
Golden Cross
0
Death Cross
0
Bullish Crossover
1
Bearish Crossover
3
All Bullish
10
All Bearish
13
All Stocks
Filter:
# Symbol LTP Chg% EMA 20 EMA 50 EMA 200 RSI Price vs EMAs Signal
1 AARTIINDTOP 435.05 -1.58% 460.1 476.6 463.5 41.5 ▼ Below ★ Golden Cross
2 PIDILITINDTOP 1452.80 +2.17% 1477.8 1520.8 1513.6 45.7 ▼ Below ★ Golden Cross
3 GNFCTOP 502.80 -2.83% 545.0 559.5 525.8 20.7 ▼ Below ⇩ Bearish X
4 NAVINFLUORTOP 8719.00 +5.55% 8263.5 8237.3 7460.6 56.3 ▲ Above Bullish
5 ASIANPAINTTOP 2320.00 +0.78% 2340.1 2427.3 2539.0 46.6 ▼ Below Bearish
6 ATULTOP 5027.50 -2.30% 5698.2 6001.6 6290.1 24.2 ▼ Below Bearish
7 BERGEPAINTTOP 465.20 -0.29% 467.2 475.4 490.4 42.7 ▼ Below Bearish
8 CHAMBLFERTTOP 353.80 -3.25% 377.9 399.3 431.7 34.5 ▼ Below Bearish
9 COROMANDELTOP 1680.00 -2.31% 1759.0 1836.7 1982.4 48.8 ▼ Below Bearish
10 DEEPAKNTRTOP 1516.90 +2.74% 1529.3 1585.2 1624.4 35.6 ▼ Below Bearish
11 PIIND 2098.90 -0.53% 2147.9 2282.8 2674.0 48.0 ▼ Below Bearish
12 TATACHEM 592.15 -1.87% 612.6 633.4 684.2 51.8 ▼ Below Bearish
13 UPL 514.35 -5.09% 524.9 542.4 606.4 57.3 ▼ Below Bearish

Live data via NSE/BSE · Auto-refresh every 60s during market hours

What is a Moving Average Crossover?

A moving average crossover occurs when a faster EMA crosses above or below a slower EMA — indicating a potential trend change.

Types of Moving Averages

There are two main types of moving averages used in this screener:

Key Moving Average Levels to Watch

How crossovers are detected

This screener computes EMA values on 1 year of daily candles. Crossovers are detected by comparing the current EMA relationship with values from 10 days ago (short-term) or 20 days ago (long-term). If the fast EMA was below the slow EMA 10 days ago but is above it now, a Bullish Crossover is flagged.

Understanding MA Crossover Signals

Related Tools

Join Telegram
Generate AI summary