NeuralStocks continuously analyzes all S&P 500 stocks — along with select additional tickers — using a dynamic set of technical indicators, with a strong focus on momentum-based strategies.

Every few minutes, our engine ranks the stocks based on short-term upside potential.
It then highlights the top three candidates with the most favorable setups — based on pattern recognition, price dynamics, and trend indicators.

But that’s only part of the equation.

What about sentiment?

That’s where our AI-powered sentiment engine comes in.

We assess how each stock is being discussed — across financial media, analyst commentary, and even trading communities.
To do that, we use a language model based on Google’s BERT architecture, fine-tuned specifically for financial content such as earnings calls, analyst reports, and news articles.

This allows us to detect whether sentiment is bullish, bearish, or neutral — and how that sentiment aligns (or conflicts) with the technical outlook.

At NeuralStocks, we use real market data and advanced AI to systematically uncover the most effective prediction formulas for short-term stock performance — not based on opinion, but on what actually works.

Here’s how the process works:

1. Data Collection

We continuously collect price and volume data across all S&P 500 stocks, across multiple timeframes:
5 min, 15 min, 30 min, and 60 min intervals.

In addition to raw prices, we calculate technical indicators such as:

• RSI (Relative Strength Index)

• MACD Histogram

• ATR (Average True Range)

• Volume Change

• BB-Distance (distance from Bollinger Bands)

• And others relevant for momentum, volatility, and trend strength

2. Feature Engineering

From this data, we create derived metrics (features) used in quantitative trading — including momentum, trend direction, and price volatility.

3. Target Definition

For every stock and timestamp, we define the target as the maximum price increase over the next 5 trading days — also known as the “5-day high”.

This gives the AI a clear objective:
Predict which stocks have the strongest short-term upside potential.

4. AI Training & Formula Discovery

We combine two complementary AI techniques:

• Random Forests: Identify which features have the strongest predictive value.

• Symbolic Regression: An AI method that searches for new mathematical formulas to predict future performance — using operators like +, ×, √, and log, rather than fixed models.

This allows us to generate interpretable, human-readable formulas that outperform traditional rule-based approaches.

5. Model Evaluation

Each candidate formula is tested based on:

• Prediction accuracy (on unseen, real data)

• Simplicity (shorter = better interpretability)

• Robustness (how well it generalizes to different stocks and time periods)

Only the best-performing formulas move forward.

6. Deployment & Ranking

The top formulas are deployed into production and used to rank all tracked stocks daily.

From this list, we select the Top 3 candidates with the highest predicted gain potential — and deliver them directly to you.

In summary:

NeuralStocks doesn’t rely on fixed rules or static indicators.
Instead, it uses self-improving AI to discover and evolve trading formulas — based on real-world data and measurable market behavior.

At NeuralStocks, we believe in transparent, verifiable results.
All metrics displayed on our website are based on real market data, updated continuously as new trading signals are generated.

Average Max Gain

This metric shows the average of the highest price increases achieved by stocks after they were listed in the Top 3 recommendations.

For each entry, NeuralStocks tracks the stock’s price over the 5 trading days following the signal.

The maximum gain within that period is recorded — regardless of when it occurred (e.g. intraday, day 3, etc.).

The average is then calculated across all such valid recommendations.

Note: We don’t use closing prices — we track the highest achieved price in the 5-day window.

Hit Rate

The Hit Rate measures how often recommended stocks showed any positive movement after being selected.

A stock is counted as a "hit" if it posted a positive price change at any point during the 5-day post-recommendation period.

The Hit Rate is the percentage of such hits across all tracked recommendations.

Average Max Gain (5-Day)

This shows the average of the highest gains achieved within the first 5 trading days after a signal was generated.

It uses the same calculation method as Average Max Gain but is strictly limited to the 5-day time frame.

5-Day Hit Rate

Measures how often recommended stocks achieved any positive gain within exactly 5 trading days after appearing in the Top 3 list.

Compounded Max Gain (30 Days)

This metric simulates continuous reinvestment of capital based on the backtest results:

• Starting with a fixed capital (e.g., $1,000).

• Each stock is bought when it enters the Top 3 recommendations and is sold at its highest recorded price within the first 5 trading days.

• The full capital (initial + realized profit) is then reinvested into the next trade.

• This process is repeated continuously for all available trades within the last 30 calendar days.

If fewer than 30 days of trade data are available, the calculation uses the existing data and compounds based on the observed trade frequency and gains. This ensures realistic results even when only partial backtest history is present.

Compounded Max Gain (90 Days)

Same calculation method as the 30-day metric but over a 90-day rolling window, showing long-term compounded performance based on maximum gains and reinvestment.

Average Time to Max Gain (real time)

This value shows how long, on average, it takes for a recommended stock to reach its maximum gain after it is listed in the Top 3:

• For each trade, the system measures the time difference between the signal timestamp and the timestamp when the stock reached its maximum gain within the 5-day observation window.

• The time differences for all trades are averaged, resulting in a real-time estimate (in days).

• Example:

  • Stock A: 2.1 days to reach max gain

  • Stock B: 0.8 days

  • Stock C: 1.8 days

  • Average Time to Max Gain = (2.1 + 0.8 + 1.8) ÷ 3 = 1.57 days

This metric reflects how quickly NeuralStocks signals typically achieve their peak performance, helping traders understand the average holding time needed to capture maximum potential profits.

Great question — and here’s the breakdown:

Alpha Phase

The Alpha phase is the earliest development stage.
Core features are still being designed, tested, and refined, and the product is shared only with a small group of early users.
It’s all about exploration, debugging, and iteration — and every bit of feedback helps us improve the foundation.

Beta Phase

In the Beta phase, we expand testing to a wider audience.
The product is feature-complete but still in active development — and real-world usage across devices, workflows, and trading habits helps uncover edge cases and usability gaps.

Where is NeuralStocks now?

We’re currently transitioning from Alpha to Beta.
Most core systems are live — including signal generation, sentiment analysis, and automated backtesting — but we’re still fine-tuning performance, adding features, and listening closely to your feedback.

If something feels off, you have ideas, or just want to tell us how you’re using it — we’d genuinely love to hear it.

Your input doesn’t just help us fix things.
It actively shapes what NeuralStocks becomes.

The VIX — short for Volatility Index (often called the "fear index") — reflects the market’s current level of uncertainty.

• A high VIX signals increased volatility and investor nervousness.

• A low VIX suggests market stability and more predictable price behavior.

Why does this matter for NeuralStocks?

Volatility has a direct impact on how reliable short-term predictions are:

• In high-volatility environments, even well-trained models can struggle — price action becomes more erratic and harder to model.

• In calm market conditions, signals tend to behave more consistently and deliver stronger results.

That’s why we display the VIX — to give you context around the signals you're seeing.

Behind the scenes

NeuralStocks dynamically adjusts to market conditions:
We test and compare different evaluation modes depending on the volatility regime.

• Some strategies perform better in trending or stable markets

• Others are more suited to choppy or unpredictable conditions

So when you see that little VIX value — it’s not just decoration.
It’s a critical piece of market context to help you interpret signals more effectively.

NeuralStocks uses a slightly different RSI calculation method than some popular charting platforms such as TradingView.

While many platforms calculate RSI using Wilder’s smoothed averaging method, NeuralStocks applies a moving average–based RSI calculation. Both approaches are mathematically valid and widely used in technical analysis, but they can produce slightly different numerical values, especially during strong or rapidly changing market moves.

Importantly, these differences do not change the underlying market interpretation. Overbought and oversold conditions, trend shifts, and momentum signals remain consistent — only the exact RSI number may vary slightly.

NeuralStocks deliberately uses this RSI variant because it:

• Reacts more directly to recent price changes

• Integrates consistently with our multi-indicator scoring system

• Is optimized for short-term signal detection rather than visual chart matching

As a result, NeuralStocks RSI values may not always match those shown on external charting platforms — this is expected and does not indicate an error.

Not always — and that’s intentional.

Some days, the market simply doesn’t offer clear, high-confidence signals.
It might be volatile, directionless, or just filled with noise.

In those cases, NeuralStocks prioritizes quality over quantity:
Rather than forcing uncertain picks, we may show fewer than three — or none at all — if no candidates meet our standards.

Why that matters

We only highlight stocks that pass our full selection pipeline:
✅ Strong technicals
✅ Positive/neutral sentiment
✅ Clean backtest performance
✅ No conflicting risk signals

If these conditions aren’t met — we don’t publish.

You might also notice:
In fast-moving or volatile markets, the Top 3 can shift multiple times per day as fresh data rolls in.

At NeuralStocks, we don’t rely on guesswork — every signal is systematically validated through automated backtesting.

Every 15 minutes, our system analyzes the actual performance of all highlighted stocks.
Specifically, it checks whether each stock experienced a price increase within the following 5 trading days.

We then record the maximum gain achieved during that period — and display it as a clear percentage.
No marketing gimmicks. Just objective, verifiable results.

For full transparency, all timestamps are shown in your local time zone, so you always know exactly when each signal was issued.

Some stocks may show up more than once — and that’s by design.

Each appearance reflects a separate analysis based on the latest market data, including:

• Updated technical indicators

• Current sentiment signals

• Recent price action and volume

• Prevailing market conditions

Good to know:

A stock may remain strong over several days — but NeuralStocks re-evaluates every candidate from scratch, each time.

That means:

• Every signal is fresh and independent

• Repeated appearances reflect consistency, not duplication

• Backtest entries show each point in time a stock qualified, not just the first time

So if a stock keeps reappearing — it’s likely because the conditions continue to support it.

The Analysis Mode indicates which signal strategy or algorithm was used to generate a specific entry.

Each mode represents a distinct formula or evaluation logic — designed to detect different types of opportunities depending on:

• Market conditions

• Technical setups

• Sentiment patterns

• Volatility levels

Example: “Rebound” Mode

If you see Rebound, it means the stock was selected based on:

• Oversold conditions

• Volume shifts

• Recovery momentum
  It’s part of the Top 3 Rebound Candidates, optimized for short-term bounce potential.

Good to know:

Modes make NeuralStocks more transparent.
They show how the AI selected a candidate — not just which one.

This helps you:

• Compare strategies

• Interpret performance patterns

• Understand which logic works best in different environments

Because sometimes, less is more — especially in fast-moving markets.

NeuralStocks is built to eliminate noise, not create more of it.
Instead of overwhelming you with dozens of weak or uncertain signals, we highlight only the Top 3 high-conviction candidates — the ones that truly stand out based on momentum, sentiment, and backtested performance.

Clarity. Simplicity. Focus.

• No information overload

• No endless scrolling

• Just three signals that matter — updated in real time, when they’re relevant

We believe smart investing starts with better decisions, not more options.
And that’s why NeuralStocks Pro gives you exactly what you need — and nothing you don’t.

Because NeuralStocks is built for a global audience — and the world of finance speaks (mostly) English.

Most of the data sources we use — including news feeds, analyst reports, and financial APIs — are based on English-language content.
Keeping the platform in English ensures consistency and precision across all features.

Good to know:

We aim to keep the language clear and accessible, even if you’re not a native speaker.

And yes — multilingual support is on our roadmap.
More languages are coming soon, so stay tuned!

Not exactly — and that’s intentional.

NeuralStocks focuses on identifying strong signals, not dictating fixed entry or exit points.

Markets are dynamic, and price levels can shift rapidly.
We believe it would be misleading to suggest there's a single “perfect” buy or sell price — because timing always depends on your strategy, risk tolerance, and market conditions.

What we do provide:

A clear signal that says:
“This stock is showing strong potential — take a closer look.”

What you do with that signal is up to you.

If you need tailored entry/exit levels, we recommend consulting with a licensed financial advisor.

NeuralStocks is here to support your decision-making — not replace it.

Great observation — and yes, that’s intentional.

NeuralStocks doesn’t rely solely on price data.
Our system also monitors real-time sentiment from financial news and analysis — using a fine-tuned AI model based on FinBERT.

What does that mean?

Even when markets are closed (e.g. after hours or on weekends), market sentiment can shift due to:

• News updates

• Analyst reports

• Earnings leaks or rating changes

• Broader economic headlines

If the AI detects a negative shift in sentiment for a previously selected stock, it may be replaced — even if the price hasn’t changed — by another candidate with stronger current momentum or sentiment.

Why it matters

This helps NeuralStocks stay proactive, not reactive:
You get an early signal — sometimes even before the market reopens — giving you a valuable head start.

Continuously — but only when it matters.

NeuralStocks updates signals throughout the trading day, based on live data and fresh analysis.
We don’t update on a fixed schedule — we update when new, relevant signals emerge.

Why not more often?

Because more isn’t always better.
Our goal is to cut through the noise — not overwhelm you with constant fluctuations.

When a stock truly stands out based on momentum, sentiment, or pattern strength, you’ll see it.
Otherwise, we stay quiet — by design.

It’s simple:

1. Take a screenshot of the current Top 3 view
   → Use the Print Screen key (or a screen capture tool)

2. Paste the image into ChatGPT
   → You can upload the screenshot directly in the chat

Use this prompt for optimal results:

Please analyze the 3 stocks based on the provided chart and technical summary.
Use a systematic evaluation approach like a stock screener.

Give a clear judgment on:

1. Which stock currently shows the strongest technical setup for a short-term upward breakout

2. Which one appears neutral or sideways

3. Which one should be avoided for now due to weak technicals or unclear signals

Evaluate primarily based on:

• Momentum score (higher = better)

• RSI (ideal: 50–65, rising preferred)

• MACD histogram (positive = bullish trend confirmation)

• Volume or recent price strength

• Price structure (only if clearly trending — ignore random noise)

Important:
Do not overrate small chart bounces or temporary dips.
Favor clean technical alignments — momentum + MACD + RSI + structure.
Avoid noisy, choppy, or indecisive setups.

Why this matters

This prompt mirrors the logic of a rule-based momentum screener — helping you make structured, technically sound assessments with the support of AI.

Staying up to date with NeuralStocks is simple. Just follow these steps:

1. Install Telegram

Download the free Telegram app from telegram.org or your device’s app store.

2. Search for NeuralStocks

Open Telegram and search for @NeuralStocks or @NeuralStocksBrazil 

3. Join the Channel

Tap “Join” or “Subscribe” to start receiving real-time alerts.
You’ll get notified instantly when new Top 3 signals or important updates are available.

Pro Tip: Enable Telegram notifications on your device so you never miss a key signal.

Want to connect, share insights, or ask questions? Joining our Discord is easy:

1. Install Discord

Download the Discord app from discord.com or your device’s app store.

2. Join a Server

• On desktop: Click the ➕ icon in the left sidebar.

• On mobile: Tap the ➕ icon at the bottom of your screen.
  Then select “Join a Server”.

3. Enter the Invite Link

Paste this invite code: discord.gg/NeuralStocks

4. Join the Community

Tap “Join Server” — and you’re in!
You’ll get full access to channels, updates, discussion threads, and more.

Tip: Say hi in #introductions and let us know how you’re using NeuralStocks!

Not yet — but we’re listening.

Broker integration is a feature we’d love to explore in the future.
For now, NeuralStocks functions as an independent research and signal engine, not an execution platform.

We focus on delivering high-quality, data-driven insights — and leave trading decisions and execution to you.

Your feedback matters.
If broker connectivity is important to you, let us know — it helps us prioritize what to build next.

Fair question.

Yes, you can absolutely screen stocks on your own — and if you do, that’s great.
But let’s be honest: it’s time-consuming, can be inconsistent, and often influenced by mood, fatigue, or a random tweet thread you fell into.

Enter NeuralStocks

NeuralStocks continuously scans thousands of data points —
including technical signals, sentiment shifts, analyst opinions, and trend structures —
to identify moments where everything lines up for a potential move.

It’s like having a smart assistant that taps you on the shoulder and says:

“This one looks interesting — you might want to take a closer look.”

You’re still in control.
NeuralStocks just helps you catch what matters — faster, cleaner, and with fewer distractions.

Short answer: No.

NeuralStocks is a powerful tool — driven by data, machine learning, and a deep interest in market behavior.
But it’s not a financial advisor.

The signals and stock picks we provide are not investment advice.
They’re designed to help you discover market opportunities, spot momentum patterns, and gain a new perspective on price dynamics.

Ultimately, you make the decision.

Always do your own research before making any investment — and if in doubt, consult with a licensed financial advisor.

NeuralStocks is here to support your thinking — not to replace it.

Rebound Candidates

Rebound setups are often most relevant shortly after market open, when overnight price gaps become visible.
This is typically when many short-term dips — and potential bounce-back opportunities — emerge.

However, not every drop is a rebound.
Always research why a stock has fallen:

• Was it earnings-related?

• Was there negative news?

• Is the move part of a broader market reaction?

NeuralStocks uses AI-driven sentiment analysis to help filter out candidates affected by clearly negative sentiment or news — but judgment is still key.

Top 3 Candidates (Momentum Picks)

These can be relevant throughout the trading day, as price trends and technical setups evolve.

Pro Tip:
The first 15–30 minutes after market open are often highly volatile.
Waiting for the initial surge to settle can help avoid false signals and improve entry timing.

Good to Know

NeuralStocks updates its signals continuously based on live data — but you remain in control.
Even with smart AI insights, timing and research are what give you the real edge.

Our trading strategy is based on strict risk management, disciplined position handling, and clear rules for both taking profits and cutting losses. We primarily trade leveraged products such as options or calls/puts and follow these principles:

1️⃣ Handling Losing Positions

• No “hope trades”: If a trade moves significantly against us, we immediately reassess whether the original setup is still valid.

• Early exit over waiting: If key technical levels or market trends break down, we exit the trade instead of hoping for a recovery.

• Switching strikes when necessary: If a call option is far out of the money (e.g., strike 105 while the stock trades at 80), we often close it and re-enter with a more realistic strike (e.g., 85), provided the overall setup remains intact.

• Losses are predefined: We only risk capital we can afford to lose. If an option approaches near-zero value, we usually close early to preserve any remaining premium.

2️⃣ Handling Winning Positions

• Letting winners run: As long as the trend remains strong and no reversal signals appear, we hold profitable trades to capture larger moves.

• Trailing stop-loss: We actively move stop-loss levels upward to lock in profits while allowing room for further growth.

• Partial profit-taking: On strong moves (e.g., +80% to +100% gains in a short time), we often take partial profits to de-risk the position while leaving some exposure for potential continuation.

• Avoiding premature exits: We don’t close positions solely because of short-term fluctuations if the overall setup remains bullish.

3️⃣ Core Principles of Our Approach

• Clear entry rules: We only trade validated setups with strong momentum or rebound signals.

• Strict risk management: No single trade should significantly impact total capital.

• Discipline over emotions: Decisions are driven by rules and data, not fear, greed, or hope.

• Re-entry mindset: We prefer to exit losing trades and look for new, high-quality opportunities instead of holding onto bad positions.

Additional Key Principles We Follow

• Define exit rules before entry: We set stop-loss levels, profit targets, and trailing stop rules before taking any position to ensure disciplined decision-making.

• Strict position sizing: We never risk a large portion of our capital on a single trade – typically limiting risk to 1–2% of total account size per trade.

• Choose option expiries wisely: We often prefer longer expirations to avoid excessive time decay unless trading very short-term setups.

• Staggered exits for profit maximization: We scale out of positions in stages, locking in partial gains while keeping exposure to potential extended moves.

• Adjust to market phases: Our strategy adapts to the environment – favoring momentum trades in strong markets and rebound or downside setups in weaker phases.

• No chasing losses: We avoid “revenge trading” after a loss and prefer waiting for a clean, high-quality setup.

• Document and analyze trades: Every trade is reviewed afterward to learn from mistakes and refine our strategy over time.