AI Stock Picks for India — How Machine Learning Scores NSE F&O Stocks Daily

Q: Are AI stock picks reliable for trading?

AI picks are a starting point for research, not a trading signal to follow blindly. Always combine ML scores with your own analysis - check the delivery data, sector context, and chart patterns. SpikeDesk is NOT a SEBI-registered investment advisor, and ML predictions carry inherent uncertainty.

Q: What data does the ML model use?

The model uses delivery percentage trends, volume patterns, OI changes, price momentum, intermarket signals (sector and index behavior), and historical pattern features. It does NOT use fundamental data like earnings or PE ratios - it is a pure technical/flow-based model.

By Jiten Patel · Updated June 2026 · 7 min read

Every evening after NSE closes, SpikeDesk runs a machine learning model across all F&O stocks. The model scores each stock on the probability of an upward move, producing a ranked list of conviction longs and conviction shorts for the next trading session.

This guide explains how the model works, what data it uses, and how to use AI picks as part of your trading process. Important: SpikeDesk is not a SEBI-registered investment advisor. AI picks are informational analytics, not trade recommendations.

What the ML Model Does

The model is a gradient-boosted decision tree (XGBoost) trained on 800+ trading days of NSE data. For each F&O stock, it takes in ~40 features and outputs a probability score between 0 and 1:

Above 0.65 — conviction long (model expects upward move)
Below 0.35 — conviction short (model expects downward move)
0.35-0.65 — no conviction (not shown in picks)

The Input Features

Category	Features	Why It Matters
Delivery data	Del%, del trend, del ratio, high-del days	Institutional accumulation/distribution
Volume	Vol ratio, vol trend, vol/del divergence	Trading intensity and conviction
Price	Returns (1d, 3d, 5d), momentum, range position	Trend and mean reversion
OI (F&O)	OI change %, OI trend, put-call ratio	Derivatives positioning
Intermarket	Sector RS, NIFTY breadth, FII flow	Market and sector context
Pattern	Breakout score, accumulation score	Technical pattern recognition

How the Model Stays Fresh

Markets change. A model trained once goes stale quickly. SpikeDesk uses a champion-challenger framework:

Every week, a new “challenger” model is trained on the latest data
The challenger is tested against the current “champion” on out-of-sample data
If the challenger performs better, it replaces the champion
If not, the champion stays. No regressions.

This means the model adapts to changing market conditions without sudden accuracy drops.

How to Use AI Picks

Do: Use picks as a shortlist

Think of AI picks as a first filter. From 141 F&O stocks, the model narrows it down to 5-15 high-conviction candidates. Then do your own analysis using Stock Lookup, P&F Charts, and delivery data.

Do: Check the sector context

An AI pick in a sector that is Leading or Improving on the RRG has a much higher success rate than one in a Lagging sector. The model sees sector data but cannot weight it as heavily as a human who understands the current market narrative.

Do not: Trade every pick blindly

70% accuracy means 3 out of 10 picks will be wrong. Position sizing and stop-losses matter. The model gives you an edge, not certainty.

Do not: Treat it as investment advice

SpikeDesk publishes informational analytics. We are not SEBI-registered investment advisers. Every trade decision is yours.

AI Picks vs Manual Scanning

Approach	Pros	Cons
AI Picks	Covers all F&O stocks daily, no emotion, consistent	~70% accuracy, misses qualitative factors
Manual Scanning	Can incorporate news, events, intuition	Time-consuming, emotional bias, misses stocks
Both Together	Best of both worlds	Requires discipline

Frequently Asked Questions

How accurate are SpikeDesk AI picks?

The ML model achieves approximately 70-72% directional accuracy on out-of-sample backtests. Roughly 7 out of 10 picks move in the predicted direction. The model is retrained weekly.

Are AI stock picks reliable for trading?

AI picks are a starting point for research, not a blind trading signal. Always combine ML scores with delivery data, sector context, and chart patterns. SpikeDesk is NOT a SEBI-registered investment advisor.

What data does the ML model use?

Delivery percentage trends, volume patterns, OI changes, price momentum, intermarket signals, and historical pattern features. It is a pure technical/flow-based model — no fundamental data.

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Related: Delivery % Guide · RRG Guide · Sectoral RRG · Breakout Scanner · P&F Charts