Professional AI quant desk for S&P 500 swing trades.
About
AI-Powered Momentum Screener — S&P 500

Markets reward structure.
Not opinion.

NeuralStocks is an AI stock screener built for short-term swing trading. It monitors all S&P 500 stocks every 15 minutes, combines AI-calibrated multi-factor momentum scoring with NLP news sentiment analysis, and surfaces up to 3 high-conviction setups — each with a defined entry price, stop-loss, and two profit targets. No discretionary overrides, no narratives. Systematic, rule-based, and fully transparent.

Rule-based, not discretionary
Every signal is generated by deterministic logic — the same inputs produce the same output, every time. There is no gut feeling, no analyst override, no narrative-driven selection.
Transparent by design
Entry price, stop-loss, and targets are defined at signal time and never changed. Performance is tracked against real market prices — not simulated, not cherry-picked. Every signal is in the history.
Short-term focus only
NeuralStocks is built exclusively for 0–5 day swing trades. Signals expire. Positions close. The system is not designed for, and should not be used for, long-term investing or position sizing over days or weeks.
Track Record

System Performance

All statistics are derived from documented signals with real entry prices and real subsequent market prices. No backtests, no simulated fills.

95.1%
Win Rate
signals with any gain > 0%
48.2%
TP1 Hit Rate
signals reaching ≥ +2%
4.1%
Avg Max Gain
average ceiling per signal
2 days
Avg Time to Max Gain
within the 5-day window
11.5
Signals per Day
during market hours
1055
Total Signals
full history, publicly visible
All entries, exits, gains, and losses are tracked using predefined rule sets and fixed evaluation windows. No discretionary adjustments are applied to historical outcomes. Financial markets involve risk — past performance does not guarantee future results. NeuralStocks provides data-driven signals and analytics, not financial advice.
Under the Hood

How the AI Momentum Screener Works

NeuralStocks runs a fully automated signal pipeline from raw market data to published trading signals — every 15 minutes during US market hours. Here is what happens inside each cycle.

Every 15 min
Full market scan
All ~500 S&P 500 constituents are screened using 15-minute OHLCV candle data. Price, volume, and volatility metrics are computed fresh each cycle.
Scoring
Multi-factor momentum scoring
Each ticker is evaluated across multiple price, volume, and volatility dimensions using a proprietary scoring framework. The individual factors are weighted and combined into a single composite rank.
Sentiment
NLP news sentiment analysis
A large language model trained on financial text analyzes recent news and headlines for each ticker at the phrase level. Sentiment acts as a contextual filter — it does not generate signals on its own, but excludes setups with adverse news conditions from the Top 3.
Selection
Top 3 picks with defined levels
The three highest-ranked setups are selected. For each, the system calculates an entry price, a stop-loss (SL), and two profit targets (TP1, TP2) — all derived dynamically from current market conditions and each stock's volatility profile. No fixed percentages are applied.
Tracking
5-day forward performance tracking
Real market prices are observed over the following 5 trading days. D1–D5 performance, max gain, and exit status are recorded automatically using a fixed rule-based exit framework — no manual adjustments.
Behind the System

Who We Are

A small team with deep roots in software and systems architecture, financial technology, and quantitative trading.

Kai Hanno Lange Founder
Software & Systems Architect · FinTech Professional · Active Quant Trader
NeuralStocks is the result of three tracks running in parallel for decades.

30+ years in software and systems architecture — building and running internet businesses from the ground up, then developing enterprise software and digital platforms for clients across a wide range of industries. One principle stayed constant throughout: real-world problems require reliable, well-crafted solutions. No overcomplicated architectures, no shortcuts.

25 years spanning financial technology and quantitative trading — on the technology side: building some of the first online banking systems and financial solutions at specialist IT consultancies serving the banking industry, which meant understanding from the inside how institutional capital moves, how risk is managed professionally, and where the edges are that most retail participants never see. On the trading side: studying market structure, momentum dynamics, and the behavioural patterns that systematically repeat — with real capital at stake, not theory.

NeuralStocks is where those three tracks meet. The engineering discipline to build something repeatable and fully auditable. The institutional background to understand what signal quality actually means in practice. And the trader's perspective to know what a platform like this needs to deliver — and what it doesn't.

What made it possible at all was the emergence of modern AI — specifically the ability to run large-scale analysis, validate signal quality across years of market data, and continuously refine the system as new conditions emerge.
"Noise is everywhere. You need signals. NeuralStocks exists to cut through the noise with structure, not opinion."

Every part of the system is owned end-to-end — from data ingestion to signal delivery to performance tracking.

See the system in action
Start a 7-day free trial. Full access to live signals, order flow, and the complete track record.
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