{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_aiorde","slug":"aiorde","name":"Aiorde","type":"product","url":"https://aiorde.com","page_url":"https://unfragile.ai/aiorde","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_aiorde__cap_0","uri":"capability://data.processing.analysis.real.time.market.data.ingestion.and.normalization","name":"real-time market data ingestion and normalization","description":"Aiorde ingests live market data streams from multiple exchanges and data providers, normalizing heterogeneous formats (ticker symbols, OHLCV candles, order book snapshots, news feeds) into a unified internal representation. The system likely uses event-driven architecture with message queues or WebSocket connections to maintain sub-second latency for price updates, enabling downstream AI models to operate on fresh, consistent data without transformation overhead.","intents":["I need to ensure my trading signals are based on the absolute latest market prices, not stale data","I want to aggregate data from multiple exchanges without managing separate API connections myself","I need consistent data formats across different asset classes (stocks, crypto, forex) to apply the same analysis logic"],"best_for":["Active day traders and swing traders who depend on sub-second price accuracy","Retail traders without infrastructure to manage multiple exchange API subscriptions"],"limitations":["Real-time data ingestion introduces operational complexity — exchange outages or API rate limits can cascade into stale signals","No disclosed SLA for data freshness or uptime guarantees","Normalization layer adds latency (typically 50-200ms) between raw exchange data and AI model input"],"requires":["Active internet connection with low-latency network path to exchange servers","Subscription to Aiorde platform (paid tier)","API credentials or OAuth tokens for connected exchanges"],"input_types":["WebSocket streams from exchanges","REST API polling endpoints","News feeds and alternative data sources"],"output_types":["normalized OHLCV candles","order book snapshots","trade execution events","market sentiment indicators"],"categories":["data-processing-analysis","real-time-systems"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_1","uri":"capability://planning.reasoning.ai.powered.market.signal.generation.and.pattern.recognition","name":"ai-powered market signal generation and pattern recognition","description":"Aiorde applies machine learning models (likely ensemble methods combining technical indicators, sentiment analysis, and price action patterns) to normalized market data to generate buy/sell signals and identify emerging trading opportunities. The system processes multi-timeframe data (1m, 5m, 1h, 4h, daily) and likely uses feature engineering pipelines to extract predictive signals from raw OHLCV, volume, and volatility metrics, then ranks opportunities by confidence scores for mobile display.","intents":["I want AI to identify profitable trading setups faster than I can manually scan charts","I need confidence scores or probability estimates for each signal so I can size positions appropriately","I want to understand which market patterns the AI is recognizing so I can validate signals before executing"],"best_for":["Active traders aged 25-45 who lack time for deep technical analysis but want data-driven entry/exit points","Retail traders seeking to reduce emotional decision-making through algorithmic signal generation"],"limitations":["No disclosed model architecture, training data, or backtesting results — impossible to independently verify signal accuracy or edge","AI models trained on historical data may fail during regime changes (e.g., market crashes, policy shifts) with no transparency on failure modes","Model drift over time as market conditions evolve; no disclosed retraining frequency or performance monitoring","Overfitting risk if models are trained on limited historical periods or cherry-picked assets"],"requires":["Subscription to Aiorde platform (paid tier)","Real-time market data feed (provided by Aiorde)","Mobile device or web browser for signal consumption"],"input_types":["OHLCV candles at multiple timeframes","volume and volatility metrics","order book imbalance data","sentiment indicators from news/social"],"output_types":["buy/sell signal with confidence score (0-100%)","entry and stop-loss price levels","risk/reward ratio estimates","pattern classification (e.g., 'breakout', 'reversal')"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_2","uri":"capability://automation.workflow.mobile.optimized.real.time.alert.and.notification.delivery","name":"mobile-optimized real-time alert and notification delivery","description":"Aiorde implements a push notification system that delivers trading signals and market alerts to mobile devices with minimal latency, using platform-specific channels (APNs for iOS, FCM for Android) and intelligent batching to avoid notification fatigue. The system likely employs geofencing or time-zone awareness to deliver alerts at optimal times for the trader's location, and supports customizable alert thresholds (e.g., 'notify only on high-confidence signals above 80%') to reduce noise.","intents":["I need to be alerted instantly when a high-probability trading setup appears, even when I'm not actively watching the app","I want to filter alerts by confidence level or asset class so I'm not overwhelmed with low-quality signals","I need alerts to work reliably on my phone even with poor network connectivity or when the app is backgrounded"],"best_for":["Mobile-first traders who cannot monitor charts continuously during work or daily activities","Day traders and swing traders who need sub-second notification delivery to capture fast-moving opportunities"],"limitations":["Push notification delivery is not guaranteed — platform-specific delays (iOS APNs can add 1-5 seconds) may cause missed opportunities in fast-moving markets","Battery drain from frequent notifications and background location tracking on mobile devices","No disclosed notification delivery SLA or retry logic for failed deliveries","Notification fatigue risk if alert thresholds are not carefully tuned by the user"],"requires":["iOS 13+ or Android 8+ with push notification permissions enabled","Active internet connection (WiFi or cellular)","Aiorde mobile app installed and authenticated","Subscription to Aiorde platform (paid tier)"],"input_types":["trading signals from AI model","user-defined alert thresholds and filters","market event triggers (price breaks, volume spikes)"],"output_types":["push notifications with signal details","in-app alert banners","sound/vibration alerts with customizable intensity"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_3","uri":"capability://text.generation.language.contextual.market.analysis.and.insight.generation","name":"contextual market analysis and insight generation","description":"Aiorde generates natural language summaries and contextual insights about market conditions, explaining WHY signals are being generated and what macroeconomic or technical factors are driving them. The system likely uses LLM-based text generation to synthesize multiple data sources (price action, sentiment, news, economic calendar) into human-readable narratives, enabling traders to quickly understand market context without reading raw data.","intents":["I want to understand the reasoning behind each AI signal, not just receive a buy/sell recommendation","I need quick market context (what's moving, why, what's the broader trend) without spending 30 minutes reading news","I want to validate signals by cross-referencing them against current market narratives and macro conditions"],"best_for":["Retail traders who want to build intuition about market drivers alongside algorithmic signals","Swing traders and position traders who need macro context for multi-day or multi-week trades"],"limitations":["LLM-generated insights can hallucinate or misinterpret market data, especially during novel or extreme market conditions","No disclosed fact-checking or validation layer to prevent false narratives from being presented as analysis","Insights are generated post-hoc from historical data; they cannot predict future market moves or black swan events","Bias risk if training data or prompt engineering favors bullish or bearish narratives"],"requires":["Subscription to Aiorde platform (paid tier)","Real-time market data and news feeds","LLM API access (likely OpenAI, Anthropic, or proprietary model)"],"input_types":["OHLCV data and technical indicators","news headlines and sentiment scores","economic calendar events","social media sentiment data"],"output_types":["natural language market summaries (100-500 words)","signal explanation narratives","risk/opportunity assessments","macro context briefings"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_4","uri":"capability://data.processing.analysis.portfolio.tracking.and.performance.attribution","name":"portfolio tracking and performance attribution","description":"Aiorde tracks user positions and trades across connected brokerage accounts, calculating real-time P&L, win rate, and other performance metrics. The system integrates with broker APIs (likely Alpaca, Interactive Brokers, or similar) to pull execution data and account balances, then attributes performance to individual signals and market conditions, enabling traders to measure the effectiveness of the AI's recommendations over time.","intents":["I want to see my real-time portfolio value and P&L without logging into my broker separately","I need to measure how profitable the AI signals actually are so I can decide whether to trust them with real capital","I want to understand which types of signals (breakouts vs reversals) are most profitable for my trading style"],"best_for":["Active traders who execute multiple trades per day and need real-time P&L tracking","Traders evaluating Aiorde's signal quality before committing significant capital"],"limitations":["Requires broker API integration — not all brokers are supported, limiting accessibility","Performance attribution is only as accurate as the broker's API data; discrepancies can occur due to slippage, commissions, or data sync delays","No disclosed methodology for attributing multi-leg trades or partial fills to specific signals","Historical performance data is not guaranteed to predict future results, especially if market regime changes"],"requires":["Active brokerage account with Aiorde-supported broker (Alpaca, Interactive Brokers, etc.)","Broker API credentials or OAuth token","Subscription to Aiorde platform (paid tier)"],"input_types":["broker account balances and positions","trade execution data (entry price, exit price, quantity, timestamp)","commission and fee data","dividend and corporate action adjustments"],"output_types":["real-time portfolio value and P&L","win rate and profit factor metrics","signal-level performance attribution","drawdown and volatility statistics"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_5","uri":"capability://data.processing.analysis.multi.asset.class.signal.generation.stocks.crypto.forex","name":"multi-asset-class signal generation (stocks, crypto, forex)","description":"Aiorde applies unified AI models across multiple asset classes (equities, cryptocurrencies, forex pairs) using asset-class-specific feature engineering and normalization. The system likely maintains separate model instances or conditional branches for each asset class to account for different market microstructure (e.g., 24/5 crypto trading vs 9:30-4pm stock market hours), volatility profiles, and liquidity characteristics, enabling traders to monitor opportunities across diversified markets from a single interface.","intents":["I want to trade multiple asset classes but don't have time to learn separate technical analysis rules for each","I need a unified platform that shows me the best opportunities across stocks, crypto, and forex without switching apps","I want to diversify my trading across asset classes but maintain consistent signal quality and risk management"],"best_for":["Experienced traders with multi-asset portfolios who want to consolidate monitoring across platforms","Retail traders exploring new asset classes (e.g., crypto) without deep domain expertise"],"limitations":["Signal quality may vary significantly across asset classes due to different model training data and market characteristics","No disclosed information on which asset classes are supported or how many trading pairs are covered","Liquidity and slippage vary dramatically across asset classes — a signal profitable in liquid stocks may fail in illiquid altcoins","Regulatory and operational complexity increases with multi-asset support (e.g., crypto custody, forex leverage rules)"],"requires":["Subscription to Aiorde platform (paid tier)","Brokerage or exchange accounts for each asset class (stocks, crypto, forex)","Real-time data feeds for all supported asset classes"],"input_types":["OHLCV data for stocks, crypto, and forex pairs","asset-class-specific indicators (e.g., funding rates for crypto, economic data for forex)","liquidity and spread data"],"output_types":["unified buy/sell signals across asset classes","asset-class-specific risk metrics (e.g., leverage limits for forex)","cross-asset correlation insights"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_6","uri":"capability://automation.workflow.customizable.alert.thresholds.and.signal.filtering","name":"customizable alert thresholds and signal filtering","description":"Aiorde allows traders to define custom filters and thresholds for signal delivery (e.g., 'only notify on signals with >80% confidence', 'exclude penny stocks', 'focus on high-volume breakouts'). The system implements a rule engine that evaluates signals against user-defined criteria before delivery, reducing noise and enabling traders to tailor the platform to their specific trading style and risk tolerance without requiring code changes.","intents":["I want to filter out low-confidence signals that waste my time and capital","I need to exclude certain assets or market conditions that don't fit my trading strategy","I want to adjust alert sensitivity over time as I learn which signal types are profitable for me"],"best_for":["Experienced traders with defined trading strategies who want to customize signal delivery","Traders who have backtested specific signal types and want to focus on high-probability setups"],"limitations":["Over-filtering can cause traders to miss profitable opportunities if thresholds are set too conservatively","No disclosed UI/UX for filter configuration — unclear if it's intuitive for non-technical traders","Filter logic is applied client-side or server-side with no transparency on execution order or precedence","No A/B testing framework to validate whether custom filters actually improve profitability"],"requires":["Subscription to Aiorde platform (paid tier)","Understanding of trading metrics (confidence, volume, volatility) to set meaningful thresholds"],"input_types":["user-defined filter rules (confidence thresholds, asset exclusions, pattern types)","signal metadata (confidence score, pattern type, asset class, timeframe)"],"output_types":["filtered signal stream delivered to mobile device","filter statistics (e.g., '50 signals generated, 10 passed filters, 8 executed')"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_aiorde__cap_7","uri":"capability://data.processing.analysis.sentiment.driven.market.insights.and.contrarian.signals","name":"sentiment-driven market insights and contrarian signals","description":"Aiorde integrates sentiment analysis from multiple sources (news headlines, social media, options market positioning) to generate contrarian signals when sentiment extremes diverge from price action. The system likely uses NLP models to classify sentiment polarity and intensity, then combines sentiment scores with technical indicators to identify potential reversals or capitulation events, enabling traders to fade crowded trades and exploit emotional extremes.","intents":["I want to identify when market sentiment is extremely bullish or bearish so I can position contrarian trades","I need to understand whether a price move is driven by fundamentals or just crowd psychology","I want to detect capitulation or euphoria events that often precede reversals"],"best_for":["Contrarian and swing traders who profit from mean reversion and sentiment extremes","Traders with experience interpreting sentiment data who can validate signals against their own market intuition"],"limitations":["Sentiment data is lagging and backward-looking — by the time extreme sentiment is detected, the move may already be complete","NLP sentiment classification can misinterpret sarcasm, irony, or context-dependent language, leading to false signals","No disclosed sources for sentiment data or weighting methodology — unclear if retail sentiment or institutional positioning is prioritized","Sentiment extremes can persist for extended periods (e.g., crypto bull markets) without reversing, causing whipsaw losses"],"requires":["Subscription to Aiorde platform (paid tier)","Real-time sentiment data feeds (news, social media, options data)","NLP model for sentiment classification"],"input_types":["news headlines and articles","social media posts and sentiment scores","options market data (put/call ratios, implied volatility skew)","price action and technical indicators"],"output_types":["sentiment scores (bullish/bearish intensity, -100 to +100)","contrarian signals when sentiment diverges from price","capitulation/euphoria alerts","sentiment-driven entry/exit recommendations"],"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 with low-latency network path to exchange servers","Subscription to Aiorde platform (paid tier)","API credentials or OAuth tokens for connected exchanges","Real-time market data feed (provided by Aiorde)","Mobile device or web browser for signal consumption","iOS 13+ or Android 8+ with push notification permissions enabled","Active internet connection (WiFi or cellular)","Aiorde mobile app installed and authenticated","Real-time market data and news feeds","LLM API access (likely OpenAI, Anthropic, or proprietary model)"],"failure_modes":["Real-time data ingestion introduces operational complexity — exchange outages or API rate limits can cascade into stale signals","No disclosed SLA for data freshness or uptime guarantees","Normalization layer adds latency (typically 50-200ms) between raw exchange data and AI model input","No disclosed model architecture, training data, or backtesting results — impossible to independently verify signal accuracy or edge","AI models trained on historical data may fail during regime changes (e.g., market crashes, policy shifts) with no transparency on failure modes","Model drift over time as market conditions evolve; no disclosed retraining frequency or performance monitoring","Overfitting risk if models are trained on limited historical periods or cherry-picked assets","Push notification delivery is not guaranteed — platform-specific delays (iOS APNs can add 1-5 seconds) may cause missed opportunities in fast-moving markets","Battery drain from frequent notifications and background location tracking on mobile devices","No disclosed notification delivery SLA or retry logic for failed deliveries","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3333333333333333,"quality":0.6900000000000001,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:29.132Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=aiorde","compare_url":"https://unfragile.ai/compare?artifact=aiorde"}},"signature":"JJhdOf/GKbaJQzR9BnsVnOY3HFNdHSYRbAg7gT7QRjs2Me1xdD7KlzTVbPh++N500kvFu5tbBiG5YACXhUsCBA==","signedAt":"2026-06-21T09:57:24.621Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/aiorde","artifact":"https://unfragile.ai/aiorde","verify":"https://unfragile.ai/api/v1/verify?slug=aiorde","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"}}