About FX13: AI Trading Signals

How our signals are built

1. 1

   Data collection

   Each cycle, our pipeline ingests price, volume, and technical context for 190+ stocks across major global venues (Americas, Europe, UK, Asia-Pacific, and other configured markets) so the next stages work from consistent inputs.

2. 2

   Multi-factor analysis

   The engine evaluates many inputs—momentum, trend strength, volume behaviour, key levels, and pattern-style context—before any score is produced.

3. 3

   Signal scoring

   Each name receives a composite score on a 0–10 scale. Only symbols above our internal threshold are highlighted as ideas worth your own review.

4. 4

   Risk framing

   Highlighted ideas include suggested entry, stop, and target levels, framed with volatility-aware distance (for example ATR-style logic) so you can judge risk explicitly.

Data and inputs

• Market data

  Real-time and historical prices from major venues via trusted market-data providers (for example Yahoo Finance and TradingView-class feeds).

• Technical indicators

  RSI, MACD, Bollinger Bands, ATR, OBV, Stochastic, ADX, and more—computed in our stack for reproducibility.

• Sector context

  Broad sector and ETF-style context to understand rotation and relative strength at a glance.

• Short interest

  Where available, short-selling and borrow context from major listed markets to complement price action.

• Insider activity

  US Form 4–style insider trade filings where applicable, as one lens among many—not a standalone signal.

• Earnings context

  Earnings dates, reported results, and estimates where surfaced, so calendar risk stays visible.

Platform at a glance