Question 1

What is MarketCrunch AI?

Accepted Answer

MarketCrunch AI is an explainable AI stock analysis platform that turns raw market data into stock price forecasts and price targets with transparent reasoning and a confidence score. Ideal for sophisticated retail traders, quant-curious investors, and RIAs who want defensible research—not black boxes.

Question 2

How does MarketCrunch gather and analyze data?

Accepted Answer

We aggregates data from a wide range of sources, including decades of market data, news outlets, media, and industry reports. Our AI algorithms then process this data to identify trends, patterns, and predictive insights.

Question 3

How is this different than ChatGPT?

Accepted Answer

Simply put, we do the math (and do not hallucinate). Our AI-engine is built ground-up to analyze massive raw numerical dataset to give specific insights, in 1-click. Go ahead, give us a try (enter a ticker https://marketcrunch.ai) and you may compare it elsewhere

Question 4

Who can benefit from using MarketCrunch AI?

Accepted Answer

The website designed for a including individual investors, financial advisors, and analysts. Whether you're a seasoned trader or new to investing, our platform offers tools tailored to various expertise levels.

Question 5

How accurate are MarketCrunch predictive analytics?

Accepted Answer

MarketCrunch uses cutting-edge deep-learning algorithms to deliver highly reliable insights. Our models are rigorously tested and validated against historical data to ensure strong accuracy. We are also transparent about results—we show backtesting results with key metrics such as Sharpe ratio and maximum drawdown for each ticker, so you can assess performance in real trading terms. On average, our prediction engine achieves over a 51% hit rate on direction across all tickers we track. We also backtest trading strategies using our price targets with simple risk management (stop-loss and take-profit). These backtests show higher returns for 73% of tickers compared to baseline performance.

Question 6

Does MarketCrunch.ai offer API access for developers?

Accepted Answer

Contact info@marketcrunch.ai

Question 7

Which tickers and markets do you cover?

Accepted Answer

We currently focus on U.S. equities and major ETFs (e.g., AAPL, NVDA, SPY, QQQ, IWM), with deep-dive pages for each forecast & price target.

Examples:
- [NVDA](https://marketcrunch.ai/stocks/forecast-price-target/NVDA)
- [AAPL](https://marketcrunch.ai/stocks/forecast-price-target/AAPL)
- [SPY](https://marketcrunch.ai/stocks/forecast-price-target/SPY)

Question 8

How often are forecasts and price targets updated?

Accepted Answer

Daily after market close for all covered tickers. Some signals refresh intraday for higher tiers (see Pricing). Each ticker page shows a last updated timestamp so you know when the forecast changed.

Question 9

What makes your predictions different from other tools?

Accepted Answer

Every forecast ships with Explainable AI (XAI): factor attributions, human-readable narratives (based on SHAP), and a confidence interval (Monte Carlo Dropout + Bootstrap) so you can judge conviction—not just direction.

Question 10

Do you provide sentiment analysis (news/social) for specific tickers like NVDA?

Accepted Answer

Yes. Our reports blend price/volume signals, fundamentals, and sentiment trends. For popular tickers (e.g., NVDA), you’ll see sentiment indicators alongside the price target forecast.

Question 11

Can I use MarketCrunch for swing trading or position trades?

Accepted Answer

Yes—forecasts support daily or multi-day (up to a week) horizons, with volatility/context for swing traders. Position traders can lean on risk bands and drawdown stats from backtests for daily.

Question 12

Do you cover smaller caps or niche names?

Accepted Answer

Coverage expands continuously. If a ticker page exists under /stocks/forecast-price-target/TICKER, we support it. You can also request coverage; high-demand tickers get prioritized.

Question 13

Are there free credits or a free trial?

Accepted Answer

New users get 2 days of unlimited use, then ongoing free credits that don’t expire and increase with engagement.

Question 14

Do you have mobile support?

Accepted Answer

We’re web-first and optimized for mobile browsers (iOS/Android).

Question 15

Who should use MarketCrunch—retail or RIAs?

Accepted Answer

Both. Retail traders get fast, explainable signals; RIAs get a defensible methodology they can discuss with clients.

Question 16

Do you have an API?

Accepted Answer

Yes—request-only for Premium/enterprise. See API FAQs below and contact us.

Question 17

Is MarketCrunch financial advice?

Accepted Answer

No. We provide educational, informational analysis. Past performance ≠ future results. Use forecasts as one input in a broader research process.

Question 18

How should I interpret the confidence score in practice?

Accepted Answer

High confidence should not automatically mean larger sizing. Treat it as a risk lens alongside your own rules (liquidity, volatility, max loss, time horizon) to decide whether to trade or skip.

Question 19

When will you cover data beyond U.S. stocks?

Accepted Answer

International expansion has been explicitly requested by the community, and we're actively evaluating coverage beyond the U.S., including India.

Question 20

How accurate are the predictions?

Accepted Answer

Hedge-funds seek  50% hit rate, whereas that for humans is 3-15%. We are consistently above 51% hit rate across 2000+ tickers.

In our trading strategy backtests, across 2000 stocks, we see higher YTD gains than buy and hold for 73% + of tickers. Our trading strategy involves trading whenever we have a strong signal (high confidence, high accuracy next day price target) + stop loss and take profit with any order. We publish individual backtest (with Sharpe, Max Drawdown) for most tickers.

Question 21

How does MarketCrunch AI generate stock price forecasts and price targets?

Accepted Answer

We use an ensemble of deep learning models (FFNN, LSTM), plus FinBERT, trained on multi-year market history (10+ years where available), with fundamentals, technical indicators, sentiment, and market-regime features. Outputs include a daily price target, weekly min/max range, and confidence interval.

Question 22

What is “Explainable AI” in MarketCrunch?

Accepted Answer

Each forecast includes SHAP-based factor attributions and a human-readable explanation that highlights which features moved the forecast (e.g., earnings momentum, volatility regime, news tone).

Question 23

How do you calculate confidence scores?

Accepted Answer

We apply Monte Carlo Dropout and Bootstrap Resampling to quantify uncertainty. You’ll see a confidence band around the forecast and a probability of directional correctness to help with position sizing.

Question 24

How do your backtests work (to avoid overfitting and look-ahead)?

Accepted Answer

- Rolling/walk-forward backtests by period and market regime
- No look-ahead (signals generated out-of-sample)
- Transaction costs & slippage assumptions included
- Dividends/corporate actions handled

We summarize win rate, Sharpe, max drawdown, annualized return, and show per-ticker examples.

Question 25

What features go into the models?

Accepted Answer

A blend of: price/volume, technical indicators (MA, RSI, MACD), fundamentals (growth, margins), sentiment (news & social where available), and macro/volatility regime signals.

Question 26

How fresh is the data?

Accepted Answer

End-of-day fundamentals/news are incorporated into daily refreshes; higher tiers unlock intraday recalculations for select features and alerts.

Question 27

Can I see an example methodology on a popular ticker (e.g., NVDA)?

Accepted Answer

Check the NVDA page for a real example of explainable forecast, sentiment, and backtest metrics.

Question 28

How should I use the signals in a portfolio?

Accepted Answer

Use the confidence band + drawdown stats to size positions and set stop-loss / take-profit. Many users combine our signal with their own entry/exit rules and risk budgets.

Question 29

What are the limits of AI forecasts?

Accepted Answer

Models adapt but cannot foresee exogenous shocks. Treat outputs as probabilistic, not promises. Always diversify and align with your risk tolerance.

Question 30

Do you compare against benchmarks?

Accepted Answer

Yes—per ticker we compare strategy returns vs. buy-and-hold and publish relative outperformance rates (e.g., “improved returns in 73% of tickers” where validated).

Question 31

Do the confidence markers correlate with actual outcome accuracy?

Accepted Answer

Confidence is primarily a measure of uncertainty (how tight the forecast distribution is), not a guarantee of accuracy. We estimate stability via repeated simulations, and confidence often drops in noisier market regimes.

Question 32

What guardrails prevent users from over-trusting an AI price target?

Accepted Answer

We emphasize target ≠ promise and pair forecasts with uncertainty and context. We're also exploring stronger 'when to skip' cues, onboarding checkpoints, and clearer day-over-day change indicators to reduce over-trust.

Question 33

How can I judge whether backtests are overfit vs legitimate?

Accepted Answer

Look for walk-forward or rolling validation, out-of-sample windows, regime splits, and ideally an ongoing live or paper tracker. The goal is receipts without fake certainty.

Question 34

Is MarketCrunch AI actually using deep learning?

Accepted Answer

The core forecast is produced by an ensemble of deep models, while classical methods can be used as a calibration layer to improve reliability and interpretability across regimes.

Question 35

How does Credits work?

Accepted Answer

A credit is used to create an AI-powered report or view reports generated by other users on the platform.

Question 36

Do I get free credits?

Accepted Answer

Each user gets free credits every week, automatically to your account, after market close

Question 37

Can I buy credits?

Accepted Answer

Yes. When you run out credits, you can buy more either as one-time purchase or a subscription

Question 38

Can I cancel my subscription anytime?

Accepted Answer

Yes. Just Login to MarketCrunch  Click Profile  From Dropdown, Select Payments  Hit Cancel. You can continue to use your credits till the current subscription period ends.

Question 39

How are the payments processed

Accepted Answer

We use Stripe to process your payments safe and securely.

Question 40

Do you store my payment information?

Accepted Answer

No, we do not store your payments info. We use Stripe to process payments and they save the info.

Question 41

How do I create an account?

Accepted Answer

Easy as 1-click on 'Sign Up' button at the top right corner, and choose your Google account. We take data privacy seriously and only contact you regarding your profile activities

Question 42

Is there a mobile app available?

Accepted Answer

Not yet. Our website works well on any web mobile browser (Safari, Chrome, Firefox), on both iOS and Android devices. This is a Beta product, so do let us know your feedback.

Question 43

I'm experiencing issues logging in. What should I do?

Accepted Answer

Try to login in Incognito mode (Chrome) or Private mode (Safari) using your existing credentials. If that still fails or there's a different issue, please email us at support@marketcrunch.ai.

Question 44

How do I report a bug?

Accepted Answer

We really appreciate you taking the time! Contact support@marketcrunch.ai with as much details about the issue as you can (device, ticker, time).

Question 45

How do I reset my password?

Accepted Answer

You can login to MarketCrunch AI using your existing Google acount. If you forgot your Google account password, just follow Google's account password instructions.

Question 46

How can I update my profile information?

Accepted Answer

Currently, we use Google account management and do not have a way to modify your profile information with us.

Frequently Asked Questions

Product & Coverage

What is MarketCrunch AI?+

How does MarketCrunch gather and analyze data?+

How is this different than ChatGPT?+

Who can benefit from using MarketCrunch AI?+

How accurate are MarketCrunch predictive analytics?+

Does MarketCrunch.ai offer API access for developers?+

Which tickers and markets do you cover?+

How often are forecasts and price targets updated?+

What makes your predictions different from other tools?+

Do you provide sentiment analysis (news/social) for specific tickers like NVDA?+

Can I use MarketCrunch for swing trading or position trades?+

Do you cover smaller caps or niche names?+

Are there free credits or a free trial?+

Do you have mobile support?+

Who should use MarketCrunch—retail or RIAs?+

Do you have an API?+

Is MarketCrunch financial advice?+

How should I interpret the confidence score in practice?+

When will you cover data beyond U.S. stocks?+