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Predictive AI Signals
Crypto & Commodities

Multi-factor client-side AI analyzes 200+ assets using 20+ data sources, 12+ technical indicators, on-chain metrics, and community sentiment to predict bullish and bearish signals.

20+ Sources
12+ Indicators
On-Chain

Top Bullish Crypto

Top Bearish Crypto

Signal Heatmap

Bearish
Bullish

Bullish Commodities

Bearish Commodities

How the Signal Engine Works

Multi-factor analysis combining 20+ real data sources with 12+ technical indicators

1

Multi-Source Ingestion

Real-time data from CoinGecko, CoinCap, Binance, Fear and Greed Index, DeFi Llama TVL, Mempool.space fees, Blockchain.info on-chain metrics, and CoinGecko trending data.

2

12+ Technical Indicators

RSI-14, EMA crossovers, Bollinger Bands, MACD, Stochastic RSI, ADX trend strength, Williams %R, CCI, OBV proxy, Ichimoku Cloud signals, Rate of Change, and VWAP analysis.

3

Sentiment from 10+ Communities

Sentiment from r/cryptocurrency, r/bitcoin, r/ethtrader, r/CryptoMarkets, r/defi, r/wallstreetbets, r/SatoshiStreetBets, r/altcoin, r/Commodities, and Hacker News with engagement weighting.

4

On-Chain + BTC-Aware

BTC hash rate, transaction volume, miner revenue, mempool fee pressure, network difficulty, exchange data from CoinCap, dominance shifts, and cross-asset correlation modeling.

Why Use AI Predictive Signals

Transparent, private, and powered by real market data

Zero Server Dependency

Every computation happens directly in your browser. Your data never leaves your device, ensuring maximum privacy and eliminating server bottlenecks.

Real Data, Real Signals

Signals are computed from live market data sourced from trusted cryptocurrency and commodity data providers. No synthetic data or simulated predictions.

Comprehensive Coverage

Analyze the top 200 cryptocurrencies by market cap alongside major commodities including gold, silver, oil, copper, platinum, palladium, and natural gas.

Frequently Asked Questions

How are predictive signals calculated?

Each asset receives a composite score from 0 to 100 based on six weighted factors: momentum using RSI, EMA, MACD, StochRSI, Williams %R, and CCI (25%), sentiment from 10+ Reddit communities and Hacker News (20%), volume spike with OBV proxy (15%), volatility shift using Bollinger Bands, ADX, and Ichimoku Cloud (15%), emerging trend with acceleration and higher-highs detection (15%), and BTC correlation signal with on-chain metrics (10%).

What does BTC influence mean for altcoins?

Bitcoin's price action and market dominance significantly affect altcoin performance. When BTC dominance rises, altcoins often underperform. The signal engine factors in BTC correlation, dominance shifts, relative strength, on-chain hash rate, transaction volume, miner revenue, and mempool fee pressure to produce more accurate altcoin predictions.

Which data sources power the analysis?

Market data: CoinCap, CoinGecko (markets, global, trending), Binance 24h tickers. On-chain: Blockchain.info (hash rate, tx volume, difficulty, miner revenue), Mempool.space (fee tiers). DeFi: DeFi Llama (1000+ protocol TVL). Sentiment: Reddit (r/cryptocurrency hot and new, r/bitcoin, r/ethtrader, r/CryptoMarkets, r/defi, r/wallstreetbets, r/SatoshiStreetBets, r/altcoin, r/Commodities), Hacker News top stories. Psychology: Fear and Greed Index (7-day history with trend). Exchange: CoinCap exchanges endpoint. All 22+ sources are free, require no authentication, and run entirely in your browser.

What technical indicators are used?

The engine computes 12+ indicators: RSI-14 (Relative Strength Index), EMA-7 and EMA-21 crossovers, Bollinger Band positioning (20-period), MACD histogram, Stochastic RSI (14-period), ADX trend strength, Williams %R (14-period), CCI (Commodity Channel Index, 20-period), OBV (On-Balance Volume proxy), Ichimoku Cloud tenkan-kijun cross signals, Rate of Change, and VWAP analysis from Binance and CoinCap data.

How are commodities tracked?

Major commodities including gold, silver, oil, copper, platinum, palladium, and natural gas are analyzed through commodity-backed tokens and cross-asset correlation models. Signals incorporate macro indicators, inter-commodity relationships, and dedicated Reddit community sentiment from r/Commodities and r/wallstreetbets.

Is this financial advice?

No. Predictive signals are generated for educational and informational purposes only. They represent mathematical analysis of market data and should not be interpreted as financial advice. Always conduct your own research and consult qualified professionals before making investment decisions.

What do the signal classifications mean?

Scores 0-39 are classified as Bearish, 40-59 as Neutral, 60-79 as Potential Bullish, and 80-100 as Strong Potential Bullish. Assets at historical highs or with extreme volatility are filtered to reduce noise. Top 20 bullish and top 20 bearish are ranked per category.