dkyazzentwatwa/chatgpt-skills
Overview
This skill performs multi-indicator technical analysis for cryptocurrencies and stocks using 29+ proven indicators (RSI, MACD, Bollinger Bands, Ichimoku, OBV, etc.). It combines divergence detection, volume confirmation, and Bollinger squeeze alerts to produce a clear 7-tier trading signal and confidence metrics. The analyzer is designed for trend identification, comparative screening, and multi-timeframe confirmation.
How this skill works
The analyzer accepts historical price (and optional volume) data, normalizes it to OHLCV format, then runs a weighted set of indicators to compute individual scores and signals. It detects divergences, checks volume confirmation, flags Bollinger squeezes, and aggregates results into a normalized score, confidence value, and a 7-tier trade signal (STRONG_BUY to STRONG_SELL). Outputs include per-indicator signals, regime metrics (ADX/DMI), and warnings.
When to use it
- Quickly assess a single coin or stock trend (7–30 day view) before trading decisions
- Compare multiple assets to rank relative strength and identify top opportunities
- Confirm entries/exits by checking multi-timeframe agreement and volume confirmation
- Monitor a watchlist for STRONG_BUY/STRONG_SELL signals in trending market regimes
- Detect potential breakouts early using Bollinger Band squeeze and rising volume
Best practices
- Validate and normalize data quality first; use 100+ data points (200+ preferred)
- Always view signals in market context—check regime (ADX/DMI) and recent news
- Use consensus across multiple indicators and timeframes instead of one signal
- Require volume confirmation for higher conviction; prioritize OBV and MFI checks
- Treat indicators as tools for probability, not guarantees; manage risk with stop-losses
Example use cases
- Run a 7-day analysis for Bitcoin to get a quick buy/neutral/sell view with confidence and volume confirmation
- Compare top 10 coins over 30 days to rank winners and identify sector leaders
- Scan a watchlist continuously to surface STRONG_BUY signals for trend-following entries
- Perform deep-dive 7/30/90 day analyses to confirm multi-timeframe agreement before allocating capital
- Detect potential breakouts by combining Bollinger squeeze alerts with rising ADX and volume
FAQ
Provide price history normalized to OHLCV. Volume is recommended. Use at least 100 data points; 200+ is better.
How should I interpret the 7-tier signal?
Signals combine normalized score and confidence: STRONG_BUY/SELL require high normalized magnitude and confidence; BUY/SELL are moderate; WEAK and NEUTRAL indicate low conviction.
