Risk Intelligence

Top Losers
for Tomorrow

Our 4-signal scoring model identifies stocks most likely to decline — helping you avoid losses, protect your portfolio, and time your exits.

Scoring Model

4-Signal Scoring Model

The same composite model used for gainers, but inverted — stocks with the lowest scores are flagged as predicted losers for the next trading session.

Bearish Signal Weights

Technical Analysis
40%
News Sentiment
25%
5-Day Momentum
20%
Volume Momentum
15%
Technical Analysis (40%)Bearish RSI, MACD crossover below signal, EMA 9 < EMA 21, price near upper Bollinger Band, and declining volume — all signal downward pressure.
News Sentiment (25%)Negative sentiment aggregated from Google News articles with freshness tracking — TODAY, RECENT, or STALE — catches bad news before price reacts.
5-Day Momentum (20%)Recent downward price trend over the last 5 trading days confirms the bearish thesis and strengthens the sell signal.
Volume Momentum (15%)Declining volume (5-day vs 20-day average < 0.8x) indicates institutional selling or lack of buying interest — a bearish confirmation.
Methodology

How Top Losers Are Identified

From raw market data to bearish signals — a 5-step pipeline that runs daily after market close.

01

Broad Scan

500+ NSE-listed stocks analyzed daily — a wider universe than gainers to catch bearish signals across the broader market.

02

Bearish Technical Scoring

Inverted indicators flag oversold-turning-worse patterns — RSI above 70, bearish MACD, EMA death cross.

03

Negative News Detection

Sentiment analysis catches bad news before price reacts — regulatory actions, downgrades, earnings misses.

04

Downward Momentum

5-day decline pattern confirmation — validates that the bearish trend has already begun and is likely to continue.

05

Composite Ranking

Weighted composite scores are calculated. The stocks with the lowest scores surface as predicted top losers.

Signal Strength

Confidence Levels

Each loser prediction is assigned a confidence level based on how many signals confirm the bearish thesis.

Bearish Confidence Tiers

HIGHScore ≤ −50 + 3 or more negative news articles + confirming downward momentum
MEDIUMScore ≤ −25 + at least 1 negative news article
LOWFewer confirming signals — use with caution
Use Cases

How to Use Loser Predictions

Three practical ways to incorporate top-loser data into your daily trading workflow.

Avoid Buying

Don't enter new positions in stocks predicted to decline. Check the loser list before placing any buy order to avoid catching a falling knife.

Hedge Positions

Protect existing holdings when signals turn bearish. Use loser predictions to trigger hedging strategies or reduce position sizes.

Exit Timing

Use predictions to time exits from declining stocks. When a stock you hold appears in the loser list, consider closing before the drop.

Card Preview

What a Loser Card Looks Like

Each predicted loser shows its composite score, confidence level, predicted decline, and all four signal breakdowns.

ADANIENTNSEAdani Enterprises
-68score
HIGH
Predicted Loss-2.1%
Target Price₹2,137
Current Price₹2,183
Tech-72
News-48
Mom-38
Vol0.6x

Example card with representative data. Real loser predictions update daily.

FAQ

Frequently Asked Questions

Common questions about how top-loser predictions work and how to use them.

How does SPR predict top losers for tomorrow?

SPR uses the same 4-signal model as gainers but inverted: Technical Analysis (40%), News Sentiment (25%), 5-Day Momentum (20%), and Volume Momentum (15%). Stocks with the lowest composite scores are predicted as top losers.

How many stocks are scanned for loser predictions?

SPR scans over 500 NSE-listed stocks daily for loser predictions, a broader universe than the gainers scan, to catch bearish signals across the wider market.

How should I use loser predictions in my trading?

Top loser predictions help you avoid buying into declining stocks, hedge existing positions, or identify potential short-selling candidates. They serve as a risk management tool alongside gainer predictions.

What does a negative composite score mean?

A negative composite score (down to −100) indicates strong bearish signals across multiple dimensions: poor technicals, negative news, downward momentum, and declining volume. The more negative the score, the stronger the sell signal.

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