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Signal For All provides an AI-powered trading system that analyzes markets, makes autonomous trading decisions, and manages risk in real-time. The platform includes two main components: the SFA AI Analyzer for real-time chart analysis and the SFA AI Trader which uses specialized AI agents that work together to identify, execute, and manage trades autonomously. Users can configure the system's behavior, risk parameters, and trading strategies. Configuration options include setting ticker symbols, timeframes, position sizing limits, and portfolio constraints to control capital allocation. Trailing stop-losses automatically adjust as positions move favorably. Trading schedules can be set to operate continuously or during specific hours. Market scanning frequency can be customized to balance reaction speed against exchange API rate limits. Users can select different AI models to power the trading system. Risk management features include daily circuit breakers that halt trading when losses exceed defined thresholds. The platform connects to MEXC exchange for live trading execution across spot and perpetual markets. Paper mode allows strategy testing with virtual capital. Shadow mode runs alongside live markets without executing trades, showing what trades would have occurred. The platform provides real-time monitoring of active positions including profit and loss, entry prices, and exit strategies. Users can view closed trade history with detailed statistics such as hold duration, profit factors, and exit reasoning. A Decision Log records the rationale behind every trade decision. The system employs eight specialized AI agents that analyze trades from different perspectives before reaching consensus. These agents include: Risk Manager for position sizing and portfolio exposure analysis, Bear Researcher for skeptical analysis and identifying institutional traps, Bull Researcher for growth catalysts and bullish patterns, Strategy Adaptor for adjusting approaches based on market conditions, Fundamental Analyst for tokenomics and protocol health evaluation, Sentiment Analyst for social media and market psychology analysis, Technical Analyst for price action and chart patterns, and Trade Planner for synthesizing agent input into execution plans with entry, exit, and stop-loss levels. The Fund Manager makes final trade decisions. The Analyst Brain contains the configurable logic, strategies, indicator weights, and conditional rules that drive the AI agents. Users can select institutional algorithmic engines to inject professional trading rules into the system. Strategy profiles can be switched between aggressive mode for higher returns with larger positions and tighter stops, and conservative mode for capital preservation with smaller positions and wider stops. Timeframe boundaries ensure trades only occur on assets meeting stability criteria across multiple chart intervals. Playbooks are reusable strategy templates containing indicators, conditions, and rules for specific trading approaches including momentum, mean reversion, and breakout strategies. Users can configure momentum identification and trend strength confirmation. Confluence thresholds require multiple confirming signals before committing capital. Developers can access raw JSON conditions for advanced customization. Custom playbooks can be created based on individual trading philosophies and indicator preferences. Performance tracking includes metrics for returns, win rates, Sharpe ratio, and drawdown updated in real-time. Returns and growth charts display portfolio evolution. Equity curves show daily profit and loss progression. Asset performance grids rank assets by profitability. Analytical breakdown matrices dissect performance by agent, timeframe, and strategy type. An audit log provides timestamped records of every trade action. Market insights provide real-time data on Bitcoin dominance, total market capitalization, and Fear and Greed index. The live watchlist terminal shows real-time prices, volume, funding rates, daily ranges, and long/short ratios. Funding rates indicate whether perpetual traders are paying to hold long or short positions. Long/short ratios display trader sentiment balance. CoinGecko trending coins identify assets gaining attention. A perpetual funding arbitrage matrix identifies cross-exchange rate discrepancies. News intelligence aggregates breaking headlines, protocol updates, and market announcements.
