Ask a day trader which analysis method they use, and they'll say technical. Ask a Warren Buffett disciple, and they'll look at you with mild contempt before explaining the importance of intrinsic value. Both are correct in their own context — and that's the key insight that beginners miss.
Technical analysis and fundamental analysis are not competing religions. They are different tools for answering different questions. Technical analysis asks: "When should I enter or exit this trade?" Fundamental analysis asks: "Is this asset worth trading at all?" Used together, with an understanding of which approach applies to which situation, they produce better decisions than either alone.
In 2026, AI has made the combination more powerful than ever — systematically processing both price patterns and fundamental data simultaneously. Here's how each approach works, where each is strongest, and how Meridian's AI synthesises both into a single signal.
What Is Technical Analysis?
Technical analysis (TA) is the practice of forecasting future price movements by studying historical price data and chart patterns. The core assumption: all available information — earnings, news, sentiment, macro data — is already reflected in the current price. Therefore, studying the price chart reveals the collective psychology of all market participants.
Core Technical Tools
- Candlestick patterns: Individual candles (doji, hammer, engulfing) and multi-candle formations that signal potential reversals or continuations.
- Support and resistance: Historical price levels where buying or selling pressure has previously concentrated. These levels tend to act as floors (support) or ceilings (resistance).
- Trend lines and channels: Connecting successive highs or lows to define the direction and boundary of a trend.
- Moving averages: MA20, MA50, MA200 — average price over a rolling period. Used to identify trend direction and dynamic support/resistance.
- Momentum indicators: RSI, MACD, Stochastic — oscillators that measure the speed and direction of price movement, identifying overbought/oversold conditions.
- Volume: The amount of trading activity behind a price move. High-volume moves are more significant than low-volume moves.
- Fibonacci levels: Retracement levels (38.2%, 50%, 61.8%) derived from the Fibonacci sequence, widely used as potential support/resistance zones after a trend move.
Strengths of Technical Analysis
- Works across all asset classes — the same chart patterns appear in forex, crypto, stocks, and commodities
- Provides precise entry and exit levels (objective trade management)
- Excellent for short to medium-term trading (intraday to weeks)
- Can generate signals quickly — useful in fast-moving markets
- Widely adopted, which creates self-fulfilling dynamics at key levels
Weaknesses of Technical Analysis
- Cannot predict fundamental shocks (earnings misses, regulatory announcements, geopolitical events)
- Patterns fail in low-liquidity environments or during news-driven breakouts
- Many indicators are lagging — they confirm trends after they begin, not before
- Can produce conflicting signals across different timeframes
- Subjective interpretation — two analysts can read the same chart differently
What Is Fundamental Analysis?
Fundamental analysis (FA) evaluates the intrinsic value of an asset based on underlying economic, financial, and qualitative factors. The goal is to determine whether an asset is overvalued, undervalued, or fairly priced — and trade based on the gap between price and value.
Fundamental Analysis by Asset Class
Stocks: Revenue growth, earnings per share (EPS), P/E ratio, profit margins, debt levels, competitive moat, management quality, industry dynamics.
Forex: Interest rate differentials, inflation data (CPI), GDP growth, employment data (NFP, unemployment rate), central bank policy (Fed, ECB, BOJ), political stability.
Crypto: Protocol adoption metrics, developer activity, on-chain data (active addresses, transaction volume, staking rates), tokenomics (supply schedule, unlock dates), ecosystem TVL, regulatory environment.
Commodities: Supply/demand balances, inventory levels, geopolitical factors (oil), weather patterns (agricultural), industrial demand (copper, iron ore).
Strengths of Fundamental Analysis
- Identifies the "big picture" direction — where an asset should trend over weeks, months, years
- Explains why price moves, not just what price did
- Better for position trades and longer holding periods
- Protects against holding fundamentally broken assets through technical rebounds
- Identifies asymmetric opportunities — assets significantly mispriced relative to fundamentals
Weaknesses of Fundamental Analysis
- Poor for short-term trade timing — "the market can stay irrational longer than you can stay solvent"
- Data-heavy and time-consuming — requires constant monitoring of economic calendars, filings, and reports
- Hard to quantify — two analysts can reach opposite conclusions from the same fundamentals
- Macro factors can overwhelm stock-specific fundamentals (a rising rate environment can sell off excellent companies)
Which Markets Favour Which Approach?
| Market | Technical Analysis | Fundamental Analysis | Recommended Blend |
|---|---|---|---|
| Forex | Highly effective — pairs trend cleanly | Critical for macro context (interest rates, CPI, NFP) | 60% TA / 40% FA |
| Crypto | Highly effective on BTC/ETH | On-chain data, regulatory news, ETF flows are major catalysts | 65% TA / 35% FA |
| Stocks (short-term) | Effective for trade timing | Earnings calendar is critical — never trade TA blindly into earnings | 50% TA / 50% FA |
| Stocks (long-term) | Useful for entry timing only | Dominant — valuations drive long-term returns | 20% TA / 80% FA |
| Commodities | Effective — strong trends | Supply/demand data (OPEC, inventory reports) drives major moves | 55% TA / 45% FA |
| Indices | Highly effective | Central bank policy and macro regime determine multi-month trend | 60% TA / 40% FA |
Combining Both Approaches
The most effective traders don't choose between TA and FA — they use fundamental analysis to define the direction of a trade and technical analysis to define the timing and management of it.
A practical workflow:
- Macro scan (fundamental): What is the macro regime? Are interest rates rising or falling? Is risk appetite on or off? Does this favour the asset I'm considering?
- Asset selection (fundamental): Is the asset fundamentally sound? Any upcoming data releases or events that could override the technical setup?
- Chart analysis (technical): What is the trend on the daily? Where are the key support/resistance levels? Is the setup high-probability, or am I forcing a trade?
- Entry and exit (technical): Identify the specific entry zone, stop-loss placement, and take-profit target based on chart structure.
- Position sizing (risk management): Never more than 1–2% of account at risk regardless of conviction.
The rule: Fundamental analysis tells you what to trade. Technical analysis tells you when to trade it. Using only one of the two is like navigating with half a map.
How AI Uses Both: Meridian's Approach
The clearest advantage of AI signal generation is the ability to process both forms of analysis simultaneously and at scale — something no individual trader can do manually.
When Meridian's AI generates a signal, the process combines:
- Technical scanning: Real-time analysis of price action across multiple timeframes (1H, 4H, daily), identifying support/resistance confluence, momentum divergences, trend structure, and volume confirmation.
- Macro context: Integration of economic calendar data, central bank communications, USD index correlation, and cross-market sector rotation signals.
- Cross-asset correlation: For any given signal, the AI evaluates related asset behaviour — a BTC signal is checked against ETH market structure, USD strength, and crypto market cap flows. A EUR/USD setup is evaluated against DXY, equity risk appetite, and ECB policy context.
- Confidence scoring: The output includes a confidence score reflecting how strongly the technical setup and fundamental context align. Higher scores indicate more factors pointing in the same direction.
The written rationale in each Meridian signal makes this visible — you'll see language like: "RSI reset from overbought on 4H, with DXY pulling back 0.4% overnight following softer CPI print." That's technical and fundamental analysis synthesised into a single judgment.
To understand how AI signals compare to human analyst signals in terms of raw performance, see our article on AI vs human trading signals.
See both approaches in action
Meridian's AI signals include a written rationale that shows exactly how technical and fundamental factors were synthesised. Analyse the chart before reading the rationale — build your own analytical edge. Free to start.