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Crypto & Stock Technical Analysis
Multi-indicator technical analysis system that generates high-confidence trading signals by combining 29+ proven algorithms. Features divergence detection, Bollinger Band squeeze alerts, volume confirmation, and a 7-tier signal system. Ideal for cryptocurrency and stock market analysis.
Core Workflow
1. Data Acquisition
Fetch historical price data from any supported source:
CoinGecko (via MCP tools):
Use coingecko_get_historical_chart tool with:
- coin_id: Target cryptocurrency (e.g., 'bitcoin', 'ethereum')
- days: Time range ('7', '30', '90', '365', 'max')
- vs_currency: Base currency (default 'usd')
Other Supported Sources:
- Exchange APIs (Binance, Coinbase, etc.) - OHLCV format
- Yahoo Finance - Stock data
- Any price-only data - Automatic OHLC approximation
Minimum Requirements :
- At least 100 data points for reliable analysis (50 minimum)
- Price data required, volume recommended
- Recent data preferred for active trading signals
2. Convert Data to OHLCV Format
The generic data converter auto-detects and normalizes any supported format:
from scripts.data_converter import normalize_ohlcv, validate_data_quality
# Auto-detect format and convert
ohlcv_df, metadata = normalize_ohlcv(raw_data, source="auto")
# Check conversion quality
print(f"Format detected: {metadata['detected_format']}")
print(f"Rows: {metadata['original_rows']} -> {metadata['final_rows']}")
print(f"Warnings: {metadata['warnings']}")
# Validate data quality
quality_report = validate_data_quality(ohlcv_df)
Backward compatible with old CoinGecko converter:
from scripts.data_converter import prepare_analysis_data
ohlcv_df = prepare_analysis_data(coingecko_json_data)
3. Run Technical Analysis
Execute the analyzer with prepared data:
from scripts.ta_analyzer import TechnicalAnalyzer
import json
# Initialize analyzer with OHLCV data
analyzer = TechnicalAnalyzer(ohlcv_df)
# Run comprehensive analysis
results = analyzer.analyze_all()
# Display results
print(json.dumps(results, indent=2))
4. Interpret Results
Analysis returns comprehensive data including new features:
{
"scoreTotal": 8.5,
"tradeSignal": "STRONG_UPTREND",
"tradeSignal7Tier": "STRONG_BUY",
"tradeTrigger": true,
"currentPrice": 45234.56,
"priceChange24h": 3.45,
"confidence": 0.75,
"normalizedScore": 0.42,
"volumeConfirmation": 0.85,
"squeezeDetected": false,
"divergences": {
"RSI": "NONE",
"MACD": "NONE",
"OBV": "NONE"
},
"individualScores": {
"RSI": 1.0,
"MACD": 1.0,
"BB": 0.75,
"OBV": 0.8,
"ICHIMOKU": 1.0,
...
},
"individualSignals": {
"RSI": "BUY",
"MACD": "BUY",
"BB": "BUY",
...
},
"regime": {
"regime": "TRENDING",
"adx": 32.5,
"dmiDirection": "UP"
},
"warnings": []
}
7-Tier Signal System (NEW):
- STRONG_BUY : High confidence bullish (normalized >= 0.5, confidence >= 0.7)
- BUY : Moderate confidence bullish (normalized >= 0.35, confidence >= 0.5)
- WEAK_BUY : Low confidence bullish (normalized >= 0.2)
- NEUTRAL : No clear direction
- WEAK_SELL : Low confidence bearish (normalized <= -0.2)
- SELL : Moderate confidence bearish (normalized <= -0.35, confidence >= 0.5)
- STRONG_SELL : High confidence bearish (normalized <= -0.5, confidence >= 0.7)
Legacy Signal Interpretation (backward compatible):
- scoreTotal >= 7.0: STRONG_UPTREND - High confidence bullish signal
- scoreTotal 3.0-6.9 : NEUTRAL - Mixed signals, wait for clarity
- scoreTotal < 3.0: DOWNTREND - Bearish signal, avoid longs
Divergence Types :
- BULLISH_DIV : Price lower low + indicator higher low = potential reversal up
- BEARISH_DIV : Price higher high + indicator lower high = potential reversal down
- HIDDEN_BULLISH : Trend continuation signal in uptrend
- HIDDEN_BEARISH : Trend continuation signal in downtrend
- NONE : No divergence detected
Available Indicators (29)
Core Indicators (10) - Weight: 1.0
- RSI (Relative Strength Index) - Momentum oscillator with divergence detection
- MACD (Moving Average Convergence Divergence) - Trend-following momentum with divergence
- BB (Bollinger Bands) - NEW: Volatility bands with squeeze detection
- OBV (On-Balance Volume) - NEW: Volume-price divergence indicator
- ICHIMOKU (Ichimoku Cloud) - NEW: Multi-component trend system (crypto-optimized 10/30/60)
- EMA (Exponential Moving Average) - Short/long crossover
- SMA (Simple Moving Average) - Short/long crossover
- MFI (Money Flow Index) - Volume-weighted RSI
- KDJ (Stochastic with J line) - Overbought/oversold with momentum
- SAR (Parabolic SAR) - Trend reversal detection
Strong Indicators (5) - Weight: 0.75
- DEMA (Double Exponential MA) - Reduced lag moving average
- MESA (MESA Adaptive MA) - Ehlers Hilbert Transform based
- CCI (Commodity Channel Index) - Cyclical trend identification
- AROON - Trend timing indicator
- APO (Absolute Price Oscillator) - Trend strength
Supporting Indicators (14) - Weight: 0.5
- ADX (Average Directional Index) - Trend strength
- DMI (Directional Movement Index) - Trend direction
- CMO (Chande Momentum Oscillator) - Modified RSI
- KAMA (Kaufman Adaptive MA) - Volatility-adjusted MA
- MOMI (Momentum) - Rate of price change
- PPO (Percentage Price Oscillator) - Normalized MACD
- ROC (Rate of Change) - Percentage momentum
- TRIMA (Triangular MA) - Smoothed moving average
- TRIX (Triple Exponential MA) - Smoothed momentum
- T3 (Tillson T3) - Low-lag smooth MA
- WMA (Weighted MA) - Linearly weighted
- VWAP (Volume Weighted Average Price) - NEW: Institutional reference
- ATR_SIGNAL (ATR Volatility Signal) - NEW: Volatility-based signals
- CAD (CMO with Regime-Aware Mean Reversion) - Adaptive momentum
See references/indicators.md for detailed indicator explanations.
Usage Patterns
Quick Analysis
For rapid assessment of a single cryptocurrency:
1. Call coingecko_get_historical_chart for target coin (7-30 days)
2. Convert data using coingecko_converter
3. Run ta_analyzer.analyze_all()
4. Present scoreTotal and tradeSignal to user
Comparative Analysis
To compare multiple cryptocurrencies:
1. Call coingecko_compare_coins for target coins
2. For each coin:
- Fetch historical chart data
- Run technical analysis
- Store results
3. Create comparison table with scores and signals
4. Identify strongest/weakest performers
Deep Dive Analysis
For comprehensive assessment with context:
1. Fetch multiple timeframes (7d, 30d, 90d)
2. Run analysis on each timeframe
3. Check for signal agreement across timeframes
4. Review individual indicator signals for divergences
5. Cross-reference with market data (market cap, volume, dominance)
6. Provide detailed report with confidence levels
Trend Monitoring
For ongoing market surveillance:
1. Fetch current data for watchlist
2. Run analysis on all coins
3. Filter for STRONG_UPTREND signals (score >= 7)
4. Rank by score descending
5. Present top opportunities with context
Best Practices
Data Quality
- Always validate data quality before analysis using validate_data_quality()
- Ensure minimum 100 data points (preferably 200+)
- Check for missing values or data gaps
- Use appropriate timeframe for user's trading strategy
Interpretation Guidelines
- Never rely on single indicator - the power is in consensus
- Consider market context - indicators behave differently in trending vs ranging markets
- Watch for divergences - when price contradicts indicators, reversal may be coming
- Volume confirms price - MFI provides crucial validation
- Multiple timeframes - confirm signals across different periods
Common Patterns
High Conviction Bullish (STRONG_BUY):
- 7-tier signal: STRONG_BUY or BUY
- Confidence >= 0.7
- RSI between 30-70 (not overbought)
- MACD bullish crossover
- Price above Ichimoku cloud
- OBV confirms with no bearish divergence
- Volume confirmation >= 0.7
- ADX > 25 (strong trend)
Breakout Setup :
- Bollinger Band squeeze detected (squeezeDetected: true)
- ADX rising from < 20
- Volume starting to increase
- Watch for band expansion
Trend Exhaustion Warning :
- Score > 7 BUT RSI > 80 or MFI > 90
- Bearish divergence on RSI, MACD, or OBV
- Price above Bollinger upper band (%B > 1.0)
- Potential reversal or pullback incoming
Divergence-Based Reversal :
- Bearish divergence: Prepare for potential top
- Bullish divergence: Watch for potential bottom
- OBV divergence is most reliable (volume precedes price)
False Breakout :
- Strong price move BUT ADX < 20
- Low volume (volumeConfirmation < 0.5)
- OBV not confirming price move
- Likely whipsaw or temporary spike
Ichimoku Confirmation :
- Price above cloud + Tenkan above Kijun = Strong bullish
- Price below cloud + Tenkan below Kijun = Strong bearish
- Price inside cloud = No-trade zone, wait for clarity
Limitations
CoinGecko Data Considerations
- CoinGecko provides price points, not true OHLC bars
- Converter approximates OHLC from adjacent prices
- Works well for trend analysis, less precise for intraday patterns
Indicator Nature
- Most indicators are lagging - calculated from past data
- Can generate whipsaws in choppy, sideways markets
- Overfitting risk - too many indicators can cause analysis paralysis
- Market regime changes require adaptation
Recommended Use Cases
✅ Great for : Trend identification, medium-term signals, portfolio screening
✅ Good for : Entry/exit timing, risk assessment, comparative analysis
⚠️ Limited for : High-frequency trading, precise intraday timing, ranging markets
❌ Avoid for : News-driven moves, low-liquidity coins, extreme volatility events
Advanced Techniques
Custom Scoring Weights
Modify indicator weights based on market conditions:
- Trending markets : Increase weight of MACD, EMA, ADX
- Ranging markets : Increase weight of RSI, CCI, Stochastic
- High volatility : Increase weight of SAR, KAMA (adaptive indicators)
Multi-Timeframe Confirmation
Analyze same coin across multiple timeframes:
- 7 days (short-term trend)
- 30 days (medium-term trend)
- 90 days (long-term trend)
Strongest signals occur when all timeframes agree.
Sector Analysis
Analyze multiple coins in same sector to identify:
- Sector-wide trends vs individual coin movements
- Relative strength leaders
- Laggard coins with catch-up potential
Troubleshooting
Issue: Score stuck at 0 or very low
Cause : Insufficient data or flat price action
Solution : Fetch longer historical period or check data quality
Issue: Conflicting signals across indicators
Cause : Market in transition or ranging
Solution : Score will be neutral - wait for clearer direction
Issue: High score but bearish user intuition
Cause : Indicators lag price, or news-driven move
Solution : Cross-reference with market context, recent news, volume
Issue: Analysis fails with NaN values
Cause : Insufficient data for indicator calculation
Solution : Fetch minimum 100 data points, preferably 200+
Integration with CoinGecko MCP
This skill is designed to work seamlessly with CoinGecko MCP tools:
Primary Tools Used :
coingecko_get_historical_chart - Main data sourcecoingecko_get_price - Quick current price checkscoingecko_compare_coins - Multi-coin analysiscoingecko_get_market_data - Context and validation
Workflow Integration :
- User asks about a cryptocurrency
- Use CoinGecko tools to fetch data
- Convert to OHLCV format
- Run technical analysis
- Present results with context from market data
Example Outputs
Simple Analysis Response
Bitcoin Technical Analysis (7-day period)
📊 7-Tier Signal: STRONG_BUY
🎯 Confidence: 78%
💰 Current Price: $45,234.56 (+3.45% 24h)
📈 Volume Confirmation: 85%
Key Indicators:
✅ RSI: BUY (38.2 - healthy level, no divergence)
✅ MACD: BUY (bullish crossover, no divergence)
✅ Bollinger: BUY (price near upper band, no squeeze)
✅ OBV: BUY (volume confirms trend, no divergence)
✅ Ichimoku: BUY (price above cloud)
✅ Volume: ACCUMULATION (MFI bullish)
Warnings: None
Recommendation: Strong buy signal with volume confirmation.
No divergences or overbought conditions detected.
Comparative Analysis Response
Top 5 Cryptocurrencies by Technical Score (30-day analysis)
1. Solana (SOL): 9.0 - STRONG_UPTREND
- All momentum indicators bullish
- Strong volume confirmation
2. Ethereum (ETH): 7.5 - STRONG_UPTREND
- Trending higher, minor overbought warning
3. Bitcoin (BTC): 5.0 - NEUTRAL
- Consolidating after recent move
4. Cardano (ADA): 2.5 - DOWNTREND
- Multiple bearish signals
5. XRP: 1.0 - DOWNTREND
- Weak momentum and volume
Related Resources
Weekly Installs
784
Repository
dkyazzentwatwa/…t-skills
GitHub Stars
23
First Seen
Jan 23, 2026
Security Audits
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Installed on
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