{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_alpha","slug":"alpha","name":"Alpha","type":"product","url":"https://www.betterwatchlist.com","page_url":"https://unfragile.ai/alpha","categories":["data-analysis"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_alpha__cap_0","uri":"capability://data.processing.analysis.real.time.market.signal.generation.with.ai.analysis","name":"real-time market signal generation with ai analysis","description":"Processes streaming market data (price, volume, technical indicators) through machine learning models to generate buy/sell signals and trend predictions. The system likely ingests real-time price feeds from financial data providers, applies feature engineering (moving averages, RSI, MACD), and runs inference through trained neural networks or ensemble models to score asset momentum and mean-reversion opportunities. Signals are ranked by confidence and delivered to user watchlists with contextual reasoning.","intents":["I want AI to identify trading opportunities in real-time without manually checking charts","I need confidence scores on buy/sell signals so I can filter noise from actionable alerts","I want to understand why the AI flagged a particular stock as a trading opportunity"],"best_for":["Swing traders and day traders seeking automated signal generation","Retail investors who lack time for manual technical analysis","Active portfolio managers monitoring 20+ holdings simultaneously"],"limitations":["AI methodology is proprietary and opaque — no visibility into feature weights or model architecture, making it difficult to validate signal reliability","Real-time inference adds latency (likely 500ms-2s per signal generation) that may cause missed entry points in fast-moving markets","Backtested performance metrics not disclosed — actual forward-looking accuracy unknown, especially across different market regimes (bull/bear/sideways)","No explanation of how the model handles black swan events or regime changes (e.g., Fed policy shifts, earnings surprises)"],"requires":["Active internet connection for real-time data streaming","User account with watchlist created (freemium tier may limit watchlist size)","Compatible browser or mobile app (iOS/Android support assumed but not confirmed)"],"input_types":["ticker symbols (AAPL, TSLA, etc.)","watchlist definitions (user-curated asset collections)","time horizons (intraday, swing, position trading)"],"output_types":["structured signal objects (ticker, signal_type: 'buy'|'sell'|'hold', confidence: 0-100, timestamp)","alert notifications (push, email, in-app)","signal reasoning text (brief explanation of technical drivers)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_1","uri":"capability://automation.workflow.watchlist.based.portfolio.monitoring.and.aggregation","name":"watchlist-based portfolio monitoring and aggregation","description":"Centralizes tracking of user-defined asset collections (watchlists) by aggregating real-time price data, performance metrics, and AI signals into a unified dashboard. The system maintains persistent watchlist state (stored in user database), syncs with market data providers to refresh prices at configurable intervals (likely 1-5 minute cadence for freemium, sub-minute for paid tiers), and computes portfolio-level metrics (total gain/loss, sector allocation, volatility). Watchlists can be organized by strategy, sector, or risk profile.","intents":["I want to monitor 50+ stocks in one place without switching between multiple tabs or apps","I need to see my portfolio's overall performance and sector exposure at a glance","I want to organize my holdings by trading strategy (swing trades, long-term holds, speculative bets)"],"best_for":["Active traders managing multiple concurrent positions across different strategies","Retail investors with diversified portfolios (10-100+ holdings)","Users seeking a lightweight alternative to full-featured platforms like Thinkorswim or Interactive Brokers"],"limitations":["Freemium tier likely caps watchlist count (e.g., 3-5 watchlists) or total holdings per watchlist (e.g., 50-100 tickers), forcing paid upgrade for larger portfolios","No direct integration with brokerage accounts — watchlists are manual, not auto-synced from actual holdings, creating reconciliation friction","Price refresh latency on freemium tier may be 5-15 minutes behind real-time, making intraday trading decisions risky","No portfolio rebalancing recommendations or tax-loss harvesting insights — purely a monitoring tool, not an optimization engine"],"requires":["User account with authentication (email/password or OAuth)","Watchlist creation (manual ticker entry or import from CSV/JSON)","Stable internet connection for periodic data syncs"],"input_types":["ticker symbols or ISIN codes","watchlist metadata (name, description, strategy tags)","optional: quantity/cost basis for P&L calculations"],"output_types":["watchlist dashboard (table or card view with price, change %, AI signal)","portfolio summary metrics (total value, total gain/loss, sector breakdown)","alert notifications (price breaches, signal changes, volatility spikes)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_2","uri":"capability://automation.workflow.alert.and.notification.delivery.with.configurable.triggers","name":"alert and notification delivery with configurable triggers","description":"Manages user-defined alert rules (price thresholds, AI signal changes, volatility spikes) and delivers notifications across multiple channels (push notifications, email, in-app) with configurable frequency and priority levels. The system likely uses a rules engine (e.g., Drools, custom state machine) to evaluate conditions against real-time market data, deduplicates alerts to prevent spam, and routes high-priority alerts (e.g., stop-loss breaches) with lower latency than informational alerts. Alerts can be customized per watchlist or individual holding.","intents":["I want to be notified immediately when a stock breaks above/below a price level I care about","I need alerts for AI signal changes so I can act quickly without constantly checking the app","I want to control alert frequency so I don't get overwhelmed with notifications during volatile market hours"],"best_for":["Day traders and swing traders who need sub-minute alert latency","Busy professionals who can't monitor markets continuously and rely on notifications","Users managing multiple watchlists with different alert thresholds per strategy"],"limitations":["Freemium tier likely limits alert count (e.g., 10-20 active alerts) or notification frequency (e.g., max 1 alert per ticker per hour), requiring paid upgrade for granular monitoring","Alert delivery latency on freemium may be 1-5 minutes due to batch processing, making time-sensitive trades impossible","No conditional logic for complex alert rules (e.g., 'alert only if price breaks AND volume > 2M shares') — likely only supports simple threshold-based triggers","No integration with trading platforms — alerts are informational only, requiring manual order placement, introducing execution delay"],"requires":["User account with notification preferences configured (email, push, SMS)","Mobile app installed (for push notifications) or email verified","Watchlist with holdings defined"],"input_types":["alert rule definitions (ticker, trigger_type: 'price_above'|'price_below'|'signal_change'|'volatility', threshold_value, frequency)","notification channel preferences (email, push, in-app, SMS)"],"output_types":["alert notifications (text, timestamp, actionable link to watchlist/chart)","alert history/log (user can review past alerts and their accuracy)","alert performance metrics (e.g., 'this alert triggered 5 times, you acted on 3')"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_3","uri":"capability://text.generation.language.ai.driven.investment.insight.generation.and.reasoning","name":"ai-driven investment insight generation and reasoning","description":"Generates natural language explanations and investment theses for market movements, asset recommendations, and portfolio risks by combining real-time market data, technical indicators, and fundamental data (if available) through a language model or rule-based reasoning engine. The system likely uses prompt engineering or fine-tuned LLMs to produce contextual insights (e.g., 'AAPL surged 3% on strong iPhone sales forecast') rather than generic boilerplate. Insights are ranked by relevance and delivered to users as educational content or decision support.","intents":["I want to understand WHY the AI flagged a stock as a buy, not just that it did","I want market context and news-driven insights to validate AI signals before trading","I want to learn investment concepts and market dynamics from AI-generated explanations"],"best_for":["Retail investors learning to trade and seeking educational context","Traders who want to validate AI signals with reasoning before executing","Users with limited financial knowledge who need plain-English explanations of market events"],"limitations":["Insight quality depends on underlying data quality and model training — no transparency on data sources (news, earnings, macro data) or model fine-tuning approach","Insights are generated post-hoc (after signal generation) and may lag real-time market moves by minutes to hours, reducing actionability","No fact-checking or source attribution — insights may contain hallucinations or outdated information, especially during fast-moving news cycles","Freemium tier likely restricts insight depth or frequency (e.g., 1 insight per watchlist per day), pushing users to paid plans for comprehensive coverage","No integration with external news APIs or fundamental data providers — insights may be superficial or miss critical catalysts"],"requires":["Real-time market data and price feeds","Optional: news data integration (Reuters, Bloomberg, etc.)","Optional: fundamental data (earnings, guidance, analyst ratings)"],"input_types":["ticker symbol","time period (last hour, last day, last week)","optional: user portfolio context (holdings, cost basis)"],"output_types":["natural language insight text (1-3 paragraphs explaining market drivers)","structured insight metadata (confidence score, data sources, timestamp)","related assets or sectors (e.g., 'semiconductor stocks also rallied on TSMC earnings')"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_4","uri":"capability://automation.workflow.freemium.tier.management.with.feature.gating","name":"freemium tier management with feature gating","description":"Implements a tiered access model that restricts advanced features (real-time signals, alert limits, insight depth, data refresh frequency) to paid subscribers while providing basic watchlist and monitoring functionality to free users. The system likely uses feature flags or role-based access control (RBAC) to gate capabilities at the API and UI level, tracks usage metrics (alert count, API calls, data refresh frequency) to enforce quotas, and displays upgrade prompts when users approach limits. Freemium users may see degraded performance (higher latency, lower refresh rates) compared to paid tiers.","intents":["I want to try Alpha before committing to a paid subscription","I want to understand what features I'm missing on the free tier","I want to upgrade selectively to unlock specific features I need"],"best_for":["Retail investors with limited budgets who want to experiment with AI-driven trading","Users evaluating Alpha against competitors before making a purchasing decision","Casual traders who don't need real-time signals or advanced analytics"],"limitations":["Freemium tier likely has severe restrictions (e.g., 3-5 watchlists, 10-20 alerts, 5-15 minute data refresh, no signal explanations) that make it unsuitable for active trading","Upgrade friction — users may hit feature limits frequently and be forced to upgrade, creating a poor experience if they're not ready to pay","No clear pricing transparency in product description — users don't know exact feature differences or paid tier costs, making comparison difficult","Free tier may be deliberately crippled (e.g., signals delayed by 30 minutes) to push conversions, reducing trust in the product","No trial period mentioned — users must commit to freemium limitations rather than getting a time-limited full-feature trial"],"requires":["User account creation (email/password or OAuth)","Payment method on file for paid tier upgrade (credit card, PayPal, etc.)"],"input_types":["user tier/subscription status","feature request (e.g., 'create new watchlist')","usage metrics (alert count, API calls, data refresh frequency)"],"output_types":["feature availability response (allowed/denied with upgrade prompt)","usage quota display (e.g., '8 of 10 alerts used this month')","upgrade recommendation (e.g., 'upgrade to Pro for unlimited alerts')"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_5","uri":"capability://data.processing.analysis.multi.asset.class.support.with.unified.interface","name":"multi-asset class support with unified interface","description":"Extends watchlist and signal capabilities across multiple asset classes (stocks, ETFs, cryptocurrencies, forex, commodities) through a unified data ingestion and analysis pipeline. The system likely abstracts asset-specific data formats and APIs (stock exchanges, crypto exchanges, forex brokers) into a common data model, applies asset-class-agnostic technical indicators (moving averages, RSI work for all assets), and generates signals using shared ML models or asset-specific variants. Users can mix asset classes in a single watchlist.","intents":["I want to monitor stocks, ETFs, and crypto in one watchlist without switching apps","I want AI signals for crypto and forex, not just stocks","I want to see correlations and relative performance across asset classes"],"best_for":["Diversified retail investors holding multiple asset classes","Crypto traders who also trade traditional equities","Macro traders monitoring cross-asset correlations"],"limitations":["Data quality and refresh rates likely vary by asset class — crypto data may be real-time while commodity data is delayed, creating inconsistent user experience","AI models may be optimized for stocks and underperform on crypto or forex where price action is more volatile and less correlated to traditional technical indicators","Freemium tier likely restricts crypto/forex support to paid tiers, limiting multi-asset exploration for free users","No support for derivatives (options, futures) or leveraged products, limiting advanced traders","Regulatory complexity — crypto support may be unavailable in certain jurisdictions, requiring geo-gating"],"requires":["Real-time data feeds for each asset class (stock exchanges, crypto exchanges, forex brokers)","Asset-class-specific data normalization (different price formats, trading hours, settlement rules)"],"input_types":["ticker symbols (AAPL for stocks, BTC for crypto, EURUSD for forex, GC=F for commodities)","asset class specification (stock, etf, crypto, forex, commodity)"],"output_types":["unified watchlist with mixed asset classes","asset-class-specific signals (e.g., crypto momentum signals, stock mean-reversion signals)","cross-asset correlation analysis (optional)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_6","uri":"capability://data.processing.analysis.historical.signal.performance.tracking.and.backtesting","name":"historical signal performance tracking and backtesting","description":"Logs all generated signals with outcomes (whether the signal was profitable, hit stop-loss, expired without action) and provides users with performance metrics (win rate, average return per signal, Sharpe ratio) to evaluate AI reliability. The system likely maintains a signal history database, tracks user actions (did they trade on the signal?), and computes performance statistics. May include simplified backtesting (replay historical signals against past price data) to show how the AI would have performed in prior market conditions.","intents":["I want to know if the AI signals are actually profitable before risking real money","I want to see the win rate and average return per signal to validate the AI's edge","I want to backtest the AI strategy on historical data to understand its performance in different market regimes"],"best_for":["Data-driven traders who want quantitative validation before committing capital","Users evaluating Alpha's AI reliability compared to other signal providers","Traders seeking to understand AI performance across market conditions (bull, bear, sideways)"],"limitations":["Backtesting results are likely overfitted to historical data and may not predict future performance, especially if market regime changes","No transparency on backtesting methodology — unclear if results account for slippage, commissions, bid-ask spreads, or execution delays","Freemium tier likely restricts access to performance metrics or backtesting, requiring paid upgrade to validate signals","Signal performance tracking requires user to log trades manually or integrate with brokerage API — no automatic trade tracking on freemium tier","Survivorship bias — only signals that users acted on are tracked, not all signals generated, skewing performance metrics","Limited historical data — backtesting may only cover 1-3 years of price history, missing longer-term market cycles"],"requires":["Signal history database with timestamps and outcomes","Optional: user trade log (manual entry or brokerage API integration)","Historical price data for backtesting (1-5 years minimum)"],"input_types":["ticker symbol","date range for backtesting","optional: user trade history (entry price, exit price, date)"],"output_types":["signal performance metrics (win rate %, average return, Sharpe ratio, max drawdown)","signal history table (date, ticker, signal type, outcome, return %)","backtest results (equity curve, drawdown chart, performance by market regime)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_alpha__cap_7","uri":"capability://data.processing.analysis.sector.and.thematic.portfolio.analysis","name":"sector and thematic portfolio analysis","description":"Analyzes user watchlists to identify sector concentration, thematic exposure (e.g., AI, renewable energy, fintech), and correlation patterns across holdings. The system likely classifies each holding by sector/industry using a taxonomy (GICS, ICB), aggregates sector weights, and computes correlation matrices to show diversification gaps. May provide recommendations to rebalance or diversify based on sector exposure.","intents":["I want to see my portfolio's sector breakdown to understand concentration risk","I want to identify thematic trends (e.g., AI stocks) in my watchlist","I want to know if my holdings are correlated and if I'm truly diversified"],"best_for":["Diversified investors seeking to understand portfolio composition","Thematic traders building concentrated bets on specific trends","Risk-conscious investors wanting to identify and reduce concentration"],"limitations":["Sector classification may be outdated or inaccurate for companies with multiple business lines (e.g., Amazon classified as retail vs. cloud)","Correlation analysis is backward-looking (based on historical returns) and may not predict future correlations during market stress","Freemium tier likely restricts sector analysis to basic pie charts, requiring paid upgrade for correlation matrices and rebalancing recommendations","No integration with fundamental data (P/E ratios, dividend yields) to provide sector-level valuation context","Thematic classification is likely rule-based (keyword matching) rather than ML-driven, missing nuanced thematic exposure"],"requires":["Watchlist with multiple holdings (minimum 5-10 for meaningful analysis)","Sector/industry classification database (GICS, ICB, or custom taxonomy)"],"input_types":["watchlist with ticker symbols"],"output_types":["sector allocation pie chart or bar chart","correlation matrix (heatmap showing pairwise correlations)","thematic exposure summary (e.g., '40% AI, 30% fintech, 20% renewable energy')","diversification score (0-100 indicating concentration risk)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active internet connection for real-time data streaming","User account with watchlist created (freemium tier may limit watchlist size)","Compatible browser or mobile app (iOS/Android support assumed but not confirmed)","User account with authentication (email/password or OAuth)","Watchlist creation (manual ticker entry or import from CSV/JSON)","Stable internet connection for periodic data syncs","User account with notification preferences configured (email, push, SMS)","Mobile app installed (for push notifications) or email verified","Watchlist with holdings defined","Real-time market data and price feeds"],"failure_modes":["AI methodology is proprietary and opaque — no visibility into feature weights or model architecture, making it difficult to validate signal reliability","Real-time inference adds latency (likely 500ms-2s per signal generation) that may cause missed entry points in fast-moving markets","Backtested performance metrics not disclosed — actual forward-looking accuracy unknown, especially across different market regimes (bull/bear/sideways)","No explanation of how the model handles black swan events or regime changes (e.g., Fed policy shifts, earnings surprises)","Freemium tier likely caps watchlist count (e.g., 3-5 watchlists) or total holdings per watchlist (e.g., 50-100 tickers), forcing paid upgrade for larger portfolios","No direct integration with brokerage accounts — watchlists are manual, not auto-synced from actual holdings, creating reconciliation friction","Price refresh latency on freemium tier may be 5-15 minutes behind real-time, making intraday trading decisions risky","No portfolio rebalancing recommendations or tax-loss harvesting insights — purely a monitoring tool, not an optimization engine","Freemium tier likely limits alert count (e.g., 10-20 active alerts) or notification frequency (e.g., max 1 alert per ticker per hour), requiring paid upgrade for granular monitoring","Alert delivery latency on freemium may be 1-5 minutes due to batch processing, making time-sensitive trades impossible","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.561Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=alpha","compare_url":"https://unfragile.ai/compare?artifact=alpha"}},"signature":"xlCuD5TqIr133JwixKk7/zuuPmzLT4QDgPppsRAMw+S61WmdAvj8XRay6ghKu6fDOp5MJoR/pAK/KKupa1CPCg==","signedAt":"2026-06-22T09:09:55.902Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alpha","artifact":"https://unfragile.ai/alpha","verify":"https://unfragile.ai/api/v1/verify?slug=alpha","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}