Frequently Asked Questions

The AI Market Analyser is an advanced trading recommendation system that combines multi-timeframe technical analysis, AI-powered news sentiment analysis, and intelligent algorithms to provide actionable trading recommendations for stocks, cryptocurrencies, and forex pairs.

Unlike traditional analysis tools that focus on a single aspect, our system analyzes multiple timeframes simultaneously (1-minute, 15-minute, and 1-hour), incorporates real-time news sentiment via GPT-4o-mini, and synthesizes all signals into clear BUY/SELL/HOLD recommendations with entry prices, targets, and stop losses.

Getting started is simple:

1. Register: Create a free account with your email address
2. Activate: Check your email and click the activation link
3. Login: Access your dashboard
4. Analyze: Enter a stock symbol (e.g., AAPL, TSLA) and click "Analyze"
5. Review: View your detailed recommendation with entry/exit prices

New users receive 12 free credits to try the system. Each analysis costs 1 credit (unless it's cached from a recent analysis, then it's free).

Our system supports 184,799+ trading instruments across multiple asset classes:

• Stocks: US and international stocks (e.g., AAPL, TSLA, GOOGL, MSFT)
• Cryptocurrencies: 2,166+ crypto pairs (e.g., BTC/USD, ETH/USD, BNB/USD)
• Forex: 1,436+ currency pairs (e.g., EUR/USD, GBP/USD, USD/JPY)
• ETFs: 50,268+ exchange-traded funds (e.g., SPY, QQQ, VOO)

If you enter an invalid symbol, our intelligent suggestion system will recommend similar valid symbols.

No, but some basic trading knowledge is recommended. Our system provides clear, easy-to-understand recommendations with detailed explanations. However, you should understand basic trading concepts like:

• What BUY, SELL, and HOLD mean
• Entry price (where to enter a trade)
• Target price (where to take profit)
• Stop loss (where to exit if the trade goes against you)
• Risk management (never risk more than you can afford to lose)

We recommend reading our Documentation to understand how the system works before making real trades.

Our system analyzes price data across three timeframes simultaneously:

• 1-minute: Captures immediate price action and short-term momentum (best for day traders)
• 15-minute: Shows intraday trends and patterns (best for swing traders)
• 1-hour: Reveals longer-term trends and market structure (best for position traders)

Each timeframe is weighted differently: 1-hour (weight=3) > 15-minute (weight=2) > 1-minute (weight=1). This ensures longer-term trends aren't overshadowed by short-term noise while still capturing immediate opportunities.

This multi-timeframe approach provides a more complete picture than single-timeframe analysis and helps avoid false signals.

For each timeframe, we calculate the following proven technical indicators:

• RSI (Relative Strength Index, 14-period): Identifies overbought/oversold conditions
• MACD (Moving Average Convergence Divergence): Detects trend changes and momentum
• Support/Resistance Levels: Key price levels calculated from 20-period highs/lows
• Volume Analysis: Compares current volume to 20-period average to confirm trends
• Price Trend: Direction and momentum based on 20-period simple moving average
• Volatility Assessment: Measures price fluctuation for risk evaluation

These are battle-tested indicators with decades of academic research and real-world validation, not experimental or proprietary "black box" formulas.

Our system uses OpenAI's GPT-4o-mini model to analyze recent news articles (last 24 hours) related to the symbol. Unlike basic sentiment tools that just count positive/negative words, our AI actually understands context:

• Context Understanding: Differentiates "earnings beat expectations" vs "earnings disappoint despite growth"
• Impact Assessment: Evaluates whether news is material (CEO resignation vs routine update)
• Market Psychology: Considers how traders typically react to specific news types
• Sarcasm Detection: Understands when headlines are ironic or sarcastic
• Source Weighting: Considers reliability of news sources

The AI provides a sentiment score (-1.0 to +1.0), category (positive/negative/neutral), and a plain-English explanation of its reasoning.

Sentiment contributes 30% to the final recommendation score, with technical indicators contributing 70%.

The recommendation engine combines all signals using a weighted scoring algorithm:

1. Technical Score: (1-hour × 3) + (15-min × 2) + (1-min × 1)
2. Combined Score: (Technical Score × 0.7) + (Sentiment Score × 0.3)
3. Action Determination:
   • Strong BUY: Score > 3.0
   • BUY: Score > 1.5
   • HOLD: Score between -1.5 and 1.5
   • SELL: Score < -1.5
   • Strong SELL: Score < -3.0

The system also calculates entry price (current market price), target price (based on historical volatility), stop loss (risk management level), and risk level (Low/Medium/High).

A complete analysis typically takes 10-20 seconds and includes:

• Fetching price data for 3 timeframes (300 candles total)
• Calculating 6+ technical indicators per timeframe
• Fetching up to 10 recent news articles
• AI sentiment analysis via GPT-4o-mini
• Recommendation synthesis and risk assessment

If the symbol was recently analyzed (within cache TTL), results are instant and don't consume credits.

Compare this to manual analysis which would take 30-60 minutes to perform the same depth of research.

Our smart caching system stores recent analysis results to improve speed and reduce costs:

• Market data: Cached for 60 seconds
• News articles: Cached for 10 minutes
• Sentiment analysis: Cached for 15 minutes

Key benefit: If someone analyzed AAPL 30 seconds ago, your analysis will use the cached data (which is still fresh) and won't consume your credits. This makes it cost-effective to follow popular symbols.

You can view cache statistics on the Cache Management page.

Credits are the currency used to perform analyses. Each analysis consumes 1 credit, unless the data is cached (then it's free).

User types:

• External Clients: Limited credits (start with 12 free). Need to purchase more when depleted.
• Internal Clients: Unlimited credits. No payment required.
• Administrators: Unlimited credits. Can manage other users.

Your credit balance is visible in the top-right corner of your dashboard.

Credits are only deducted when fresh data is used. Specifically:

• Credit consumed (1): Analysis uses fresh data from APIs (not cached)
• No credit consumed (FREE): Analysis uses cached data from recent queries

This means if you or someone else analyzed AAPL 30 seconds ago, your analysis will be free because the data is still cached.

You can check the was_cached field in the analysis result to see if a credit was charged.

Currently, credit purchases are handled through the admin panel. To purchase credits:

1. Contact support or your administrator
2. Request a credit top-up with your desired amount
3. Admin will manually add credits to your account

Coming soon: Automated self-service credit purchases via the Pricing page with secure payment processing.

View available packages on the Pricing page.

That's why we provide 12 free credits to new users - to try the system before committing to purchases.

Refund policies depend on your specific situation:

• Unused credits: May be eligible for refund - contact support
• Used credits: Generally not refundable as the service was delivered
• Technical issues: If you experienced system errors, contact support for credit restoration

Contact support with your account details and reason for refund request.

No, credits do not expire. Once purchased, they remain in your account indefinitely until you use them.

You can use your credits at your own pace without worrying about expiration dates or "use it or lose it" policies.

No. Trading involves substantial risk and there are no guaranteed profits.

Our system provides recommendations based on data analysis, not guarantees. Even the best analysis can't predict unforeseen events like:

• Breaking news or geopolitical events
• Sudden regulatory changes
• Market manipulation or flash crashes
• Company-specific events (accounting fraud, etc.)
• General market volatility and sentiment shifts

Important: Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.

Key risks to be aware of:

• Market Risk: Prices can move against predictions due to unpredictable factors
• Data Lag: Market data may have slight delays (typically seconds, not real-time tick-by-tick)
• AI Limitations: Sentiment analysis may misinterpret context in rare cases
• Black Swan Events: Extreme events the model hasn't seen in training data
• Over-reliance: Using recommendations without your own research and judgment
• Execution Risk: Slippage between recommended entry and actual filled price

Best practice: Use our recommendations as one input in your trading strategy, not as your sole decision-making tool.

Yes, using stop losses is crucial for risk management.

However, you should adjust the stop loss based on your personal risk tolerance:

• Conservative traders: May want tighter stop losses (smaller potential loss)
• Aggressive traders: May accept wider stop losses (larger potential loss for bigger gains)
• Account size: Never risk more than 1-2% of your account on a single trade

Our recommended stop losses are calculated based on volatility and typical price movements, but you should always adjust them to your personal risk management rules.

Not all recommendations will be profitable - this is normal in trading.

If you followed the recommendation and it didn't work out:

1. Use stop loss: Exit at the recommended stop loss to limit losses
2. Review the analysis: Check if market conditions changed unexpectedly
3. Track your results: Keep a journal of your trades to identify patterns
4. Learn from it: Analyze what went wrong (news event, technical breakdown, etc.)

Professional traders aim for a win rate of 50-60%, meaning they lose 40-50% of the time but still profit overall through proper risk management (let winners run, cut losers quickly).

No. This is NOT financial advice.

Our system provides algorithmic recommendations based on data analysis, not personalized financial advice. We do not know your:

• Financial situation or account size
• Risk tolerance and investment goals
• Tax situation or legal jurisdiction
• Other holdings or portfolio composition
• Time horizon or liquidity needs

You are responsible for your own trading decisions. Consult a licensed financial advisor if you need personalized advice.

See our full Disclaimer for more information.

Several key advantages over manual analysis:

• Speed: 10-20 seconds vs 30-60 minutes manual analysis
• Multi-timeframe: Analyzes 3 timeframes simultaneously (you'd need to switch charts manually)
• No emotional bias: Algorithms don't suffer from FOMO, fear, or confirmation bias
• Consistency: Same methodology applied every time
• Sentiment integration: Automatically analyzes news you might miss
• Scalability: Analyze dozens of symbols quickly (manual analysis is limited to few per day)

You can perform the same analysis manually, but it would take significantly more time and effort while being more prone to human error and bias.

Unlike many "black box" trading bots or signal services:

• Transparency: We explain exactly how recommendations are calculated (see Documentation)
• No proprietary secrets: We use proven, well-researched indicators (RSI, MACD, etc.)
• AI context understanding: GPT-4 analyzes news meaning, not just keyword counting
• Risk management included: Every recommendation includes entry, target, and stop loss
• You maintain control: We provide recommendations, not automated trades
• Educational: Each analysis explains the reasoning, helping you learn

Yes! Our 1-minute timeframe analysis is specifically designed for day traders.

However, keep in mind:

• Each analysis takes 10-20 seconds (not real-time tick-by-tick)
• Market conditions can change quickly - re-analyze before entries
• Use the caching system to your advantage (popular symbols have fresh cached data)
• Day trading requires quick decision-making and discipline

Many successful day traders use our system to quickly scan multiple symbols and identify the best opportunities, then use their own judgment for entry timing.

Yes! We support 2,166+ cryptocurrency pairs including BTC/USD, ETH/USD, BNB/USD, and more.

Crypto-specific advantages:

• 24/7 Analysis: Crypto markets never close, and neither do we
• Volatility handling: Our risk assessment adapts to crypto's high volatility
• Sentiment matters more: Crypto is heavily news-driven; AI sentiment analysis is especially valuable
• Multiple exchanges: We use aggregated data for accurate pricing

Note: Crypto markets can be extremely volatile. Use appropriate position sizing and risk management.

If you didn't receive your activation email:

1. Check spam/junk folder: Activation emails sometimes get filtered
2. Wait a few minutes: Email delivery can take 1-5 minutes
3. Check email address: Make sure you entered the correct email during registration
4. Request resend: Contact support to resend the activation email
5. Admin activation: As a last resort, an admin can manually activate your account

To reset your password:

1. Click "Forgot Password?" on the login page
2. Enter your registered email address
3. Check your email for a password reset link
4. Click the link and enter your new password
5. Login with your new password

If you don't receive the reset email, check your spam folder or contact support.

Currently, email changes must be handled through support for security reasons.

Contact support with:

• Your current email address
• Your new desired email address
• Verification of your account ownership

Coming soon: Self-service email change with verification.

To delete your account, contact support with your request. We'll need to verify your identity.

Important: Account deletion is permanent and cannot be undone. All your:

• Analysis history will be deleted
• Unused credits will be forfeited (no refund)
• Favorites and settings will be removed

Consider deactivating your account instead if you might want to return later.

You can contact support through:

• Email: support@aistockanalyser.com (check your admin panel for actual contact)
• Admin Panel: If you're an admin, check the settings page
• GitHub Issues: For technical bugs or feature requests

When contacting support, please include:

• Your account email
• Detailed description of the issue
• Screenshots if applicable
• What you were trying to do when the issue occurred