Market Overview
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Markets
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Global Markets
Click a marker to exploreSocial Buzz
Top tickers being discussed on RedditTry AAPL, TSLA, XOM
Deep Ticker Analysis
ML predictions, fundamentals, sentiment, and AI analysis — all in one view.
PRICE CHART
TECHNICAL ANALYSIS
MR. TICKR'S FORECAST
MR. TICKR'S AI COUNSEL
THE FUNDAMENTALS
MARKET SENTIMENT
HISTORICAL BACKTEST
Replay the model against held-out test data it never saw during training
EQUITY CURVE — Strategy vs Buy & Hold
PROBABILITY CALIBRATION
| Date | Price | Predicted | Prob | Actual | Return | Result | Cumulative |
|---|
Futures & FX Monitor
Real-time futures, commodities, and currency dataEconomic Calendar
Key dates that may impact predictionsConsulting the calendar, if you'll bear with me...
Options Chain
Select a ticker to view options dataOptions Chain Viewer
Calls, puts, implied volatility, max pain, and unusual activity — pick a ticker to begin.
Mr. Tickr's Guide
A gentleman's primer on reading the numbers, understanding the dashboard, and knowing what this tool can — and cannot — tell you.
What Mr. Tickr Does
The essentials
I employ machine-learning models trained on 2 years of market data and 21 technical indicators to predict whether a stock, ETF, or cryptocurrency will move UP or DOWN. Predictions are offered across three horizons: 1 day, 1 week, and 1 month ahead.
I don't predict how far price will move — only the direction. Think of it as a probabilistic compass, not a price target. The models retrain automatically to stay current with evolving market conditions.
Reading the Predictions
What each number means
| Field | What it tells you |
|---|---|
| Direction (UP / DOWN) | Which way the model expects price to move over the selected timeframe. UP means the model's best estimate is a positive return; DOWN means negative. |
| Probability (%) | How confident the model is in that direction. A 72% UP reading means the model assigns a 72% chance of a positive move — not a guarantee, but a lean. Higher percentages indicate stronger conviction. |
| Confidence Badge | High (70%+), Medium (60-69%), or Low (below 60%). A simplified tier so you can scan results at a glance. I'd suggest paying closest attention to High-confidence signals. |
| Backtest Accuracy | How often the model got the direction right on recent historical data it was not trained on. A coin flip is 50%, so anything above 58% indicates genuine signal. This is your quality gauge for that specific ticker. |
Understanding the Dashboard
What each section tells you
| Section | What it shows |
|---|---|
| Market Pulse | The breadth bar shows what percentage of all 51 tracked tickers are predicted UP vs DOWN. "Bullish breadth" simply means the majority lean upward — a quick read on whether the overall market mood is risk-on or risk-off. The narrative below summarises the current regime in plain English. |
| Fear & Greed Index | A gauge of crowd sentiment from CNN's composite indicator. Extreme Fear often coincides with buying opportunities; Extreme Greed suggests caution. It measures what the crowd feels, not what the model predicts. |
| Heatmap | A sector-by-sector view of directional predictions at a glance. Green cells lean UP, red cells lean DOWN. Click any cell to see the individual tickers within that group and their probability scores. |
| Sector Relative Strength | A horizontal bar chart showing each sector's average probability relative to 50%. Bars extending right (green) indicate outperforming sectors; bars extending left (red) indicate underperformers. A quick read on where the model sees the strongest directional lean. |
The AI Counsel
Claude's analysis, beyond the numbers
When you analyse a ticker in the Analyzer, Claude reviews the ML predictions alongside fundamentals, news sentiment, and technical context to produce a written investment analysis. This is a second opinion layered on top of the quantitative model — not a replacement for it.
The AI panel includes a recommendation (Bullish, Bearish, or Neutral), key factors driving that view, and price targets where applicable. It can surface context the ML model cannot see: earnings narratives, sector rotation themes, or macro headwinds.
I'd note that Claude's analysis is qualitative and interpretive. It adds colour, but the ML predictions remain the quantitative backbone.
Key Limitations
What the model cannot do
| Limitation | What this means for you |
|---|---|
| Direction only, not magnitude | The model predicts UP or DOWN, but not by how much. A 75% UP call could precede a 0.1% gain or a 5% rally — it doesn't distinguish between them. |
| 1-day predictions are noisy | Daily price movement is dominated by randomness. Expect 55-65% accuracy at best for 1D calls. Weekly and monthly predictions carry meaningfully more signal. |
| No black swan coverage | The model cannot anticipate earnings surprises, geopolitical shocks, or breaking news. It sees patterns in historical data — not tomorrow's headlines. |
| Past accuracy is not a guarantee | Backtest accuracy reflects how the model performed on recent held-out data. Market regimes change. A model that was 70% accurate last quarter may underperform next quarter. |
Glossary
Key terms, briefly defined
| Term | Definition |
|---|---|
| RSI | Relative Strength Index. Measures momentum on a 0-100 scale. Above 70 suggests overbought conditions; below 30 suggests oversold. |
| MACD | Moving Average Convergence Divergence. Tracks the relationship between two moving averages to signal trend changes and momentum shifts. |
| Bollinger Bands | A volatility envelope around price. When bands are wide, volatility is high. When they squeeze tight, a breakout often follows. |
| ATR | Average True Range. Measures how much a security typically moves per day in dollar terms. Higher ATR means more volatile price action. |
| Sentiment Score | A reading of recent news headlines scored from -1 (very negative) to +1 (very positive). Reflects media tone, not price prediction. |
| Fear & Greed Index | CNN's composite gauge of market sentiment (0-100). Combines volatility, momentum, put/call ratios, and other crowd-behaviour signals. |
| P/E Ratio | Price-to-Earnings. How much investors pay per dollar of earnings. Higher P/E can indicate growth expectations or overvaluation, depending on context. |
| Market Cap | Total market value of a company's outstanding shares. Large-cap ($10B+), mid-cap ($2-10B), or small-cap (under $2B). |
| Beta | How much a security moves relative to the overall market. Beta of 1.0 = moves with the market. Above 1.0 = more volatile; below 1.0 = less volatile. |
Disclaimer & Disclosure
Important legal information
Educational Purpose Only
This website provides educational and informational content only and does not constitute investment advice, a recommendation, or an offer to buy or sell any security or financial product. All content is general in nature and not tailored to any individual's specific circumstances, financial situation, or investment objectives.
Not Investment Advice
Mr. Tickr is not a registered investment adviser, financial adviser, broker-dealer, or any type of regulated financial services firm. Nothing on this site should be construed as a recommendation to buy, sell, or hold any security or financial product. We do not have a fiduciary duty to you.
Machine Learning & AI Limitations
Predictions are generated by machine learning algorithms trained on historical market data and publicly available information. The models may contain errors, biases, or limitations. Performance results displayed are based on backtested data. Backtested performance is not an indicator of future actual results. Machine learning models trained on historical data may not predict future market conditions, especially during unprecedented events, regulatory changes, or market dislocations.
Past Performance Disclaimer
Past performance is not a guarantee of future results. Securities markets are subject to considerable volatility and risk. You may lose some or all of your investment. There is no assurance that predicted outcomes will occur or that any investment strategy will be successful.
Your Responsibility
All investment decisions are made at your own risk and sole discretion. We accept no liability or responsibility for any losses or damages resulting from your reliance on information provided on this site. Before making any investment decision, you should consult with a qualified financial adviser, tax professional, or solicitor to determine whether any investment or strategy is suitable for your specific needs and circumstances.
Data Accuracy
All data is provided "as is" for informational purposes only. We make no warranties about the completeness, accuracy, or reliability of any information on this site. Market data is sourced from public APIs and may be delayed, incomplete, or contain errors.
Scanning Reddit for the hottest tickers, if you'll bear with me...