Commodities Technical Analysis: A Complete Guide for Traders

Educational content. This article explains technical analysis frameworks commonly used in commodity markets; it does not constitute investment advice or recommendation. Cited backtest results and historical examples are illustrative; past patterns and backtested figures do not guarantee future performance. CFD trading carries significant risk of loss and may not be suitable for all investors.

Many commodity traders skip one step: a technical check on the chart before the trade goes on.

Commodity charts behave differently from stocks and forex. Seasonal cycles, futures roll effects, and supply shocks shape price action in ways a standard signal won't tell you.

This guide covers what those differences mean for reading commodity charts and which technical signals matter before you enter any trade.

You can run a four-step checklist on any commodity chart: trend, support and resistance, momentum, and volatility.

What is commodities technical analysis?

Commodities technical analysis uses price charts, patterns, and indicators to analyze historical price action and identify recurring patterns in raw materials markets like gold, oil, and silver; it describes past behaviour and identifies potential setups, not certain future outcomes.

Commodities technical analysis is a chart-based method for studying commodity prices. It helps you spot trends, momentum, and key price levels using past price and volume.

The core data inputs are:

• Price history (open, high, low, close across any timeframe)

• Volume (how much traded at each price level)

• Support and resistance levels (price zones where buying or selling has clustered)

• Momentum indicators like RSI, MACD, and CCI (scores showing if price has moved too far, too fast)

• Volatility tools like ATR and Bollinger Bands (measure how much price is swinging)

• Trend tools like moving averages (show the overall price direction)

Fundamental analysis asks why prices move. Technical analysis asks what price is doing right now.

Fundamental traders track supply and demand forces:

• OPEC production decisions

• Crop reports and harvest data

• Geopolitical events

• Inventory and stockpile releases

These 4 drivers explain price moves, but rarely in real time.

Futures markets are driven heavily by sentiment and speculation. Price often moves before fundamental news reaches everyone. Chart patterns on gold, oil, or wheat can signal a breakout days before a crop report or OPEC announcement is fully absorbed. TA doesn't replace fundamental knowledge. It tells you when the market is already acting on it.

This matters directly when you place your own trades.

Running a basic TA checklist against your own setup before you enter gives you 3 quick verification points:

• Is the gold trade entering a confirmed uptrend, or chasing a spike?

• Is oil approaching a key resistance level that could reverse the trade?

• Does silver momentum support the direction being taken?

MT5 is where this happens. The charting environment is available with sub-28ms execution latency so price levels you see reflect live market conditions. Pull up the chart, overlay a moving average, check RSI, and map the nearest support before any position is opened.

This doesn't mean second-guessing every idea. It means having enough context to trade market conditions you can read.

How commodities differ from stocks and forex

Commodities differ from stocks and forex through physical supply-demand drivers, seasonal price cycles, futures-based trading, and higher volatility from weather and geopolitical shocks.

• Supply and demand imbalances: A mine flood or drought moves prices within hours, not quarters.

• Geopolitical events: Sanctions, conflicts, and trade route disruptions reshape supply overnight.

• Weather: A cold snap in Europe lifts natural gas demand. A dry U.S. Midwest harvest pushes wheat higher.

• Supercycles: Multi-year price trends driven by industrialization or energy transitions have no direct equivalent in stocks or forex.

This context changes how you read signals. A bullish RSI on crude oil can be invalidated instantly by an OPEC production cut. That same decision has zero effect on EUR/USD. Fundamental context in commodities filters whether your technical signal is valid, not just background noise.

Beyond these event-driven drivers, commodity prices also follow predictable time-of-year patterns.

Commodity prices follow two dominant seasonal rhythms. Agricultural commodities track planting and harvest cycles: corn prices typically soften after harvest as supply floods the market, then firm heading into spring planting uncertainty. Energy commodities follow heating and cooling demand: natural gas prices climb during winter heating season, then retreat in spring.

Because these cycles repeat year after year, seasonal breakout patterns carry more analytical weight in commodities than in stocks or forex. A breakout in crude oil during winter heating season has historical demand seasonality behind it. A breakout in a forex pair or stock at the same time of year has no comparable seasonal force. That makes cycle analysis a more reliable confirmation tool in commodity markets.

Commodity futures differ structurally from stocks and forex spot. Each futures contract carries an expiry date. Traders must close or roll positions before expiry, which adds rollover costs. CFDs roll automatically, but the cost is still built in. Margin requirements are set by exchange-level volatility standards, not a fixed broker menu.

The leverage math makes this concrete. Leverage at Vanto differs by commodity asset class: up to 1:500 on precious metals (gold, silver) and up to 1:100 on energy (Brent crude oil). At 1:100 on oil, a $100 margin deposit controls a $10,000 notional position; at 1:500 on gold or silver, the same $100 covers $50,000 of notional. A sharp move against you erases that margin fast, and commodity volatility amplifies the speed of that drawdown compared to most stock positions.

Chart types used in commodity market analysis

Commodity traders primarily use candlestick, bar, and line charts to read price action, patterns, and trends.

Four chart types appear consistently in commodity analysis, each suited to a specific read: intraday sentiment, multi-timeframe structure, long-term trend, or price-action filtering. Choosing the right one depends on your timeframe, trading style, and what you need to see.

Candlestick charts show open, high, low, and close as a single candle body with upper and lower wicks. That structure lets you read intraday sentiment at a glance. Patterns like dojis, hammers, and engulfing candles are readable on candlestick charts, making them the standard choice for spotting short-term reversals in gold and oil.

Bar charts carry the same OHLC data as candlesticks. The difference is visual: there are no color-filled bodies, which produces a cleaner layout on multi-timeframe screens. Removing color cues also reduces the pull of recent price action when reviewing historical setups, which is why systematic traders and professional futures traders default to them.

Line charts plot only closing prices. That removes intraday noise entirely. They work best on weekly or monthly commodity charts for reading long-term trend direction, and for drawing support and resistance levels without wicks distorting key zones.

MT5 supports three chart types natively, with no need to switch platforms:

• Candlestick

• Bar

• Line

When reviewing a setup, candlestick is the practical default. It shows the open, close, and rejection wicks at each entry point, so you can see exactly what price did before the trade was placed.

The commodity analysis checklist: four steps to read any market

The commodity analysis checklist is a four-step process - trend identification, support/resistance mapping, momentum gauging, and volatility measurement - that gives you a repeatable way to read any commodity chart before placing a trade.

No single indicator answers every question. Each class covers a different dimension of the market. Here's what each one tells you:

• Moving averages: trend direction

• Support and resistance: where price historically stalls or reverses

• RSI: whether momentum is exhausting or still building

• Bollinger Bands and ATR: whether the market is calm or about to break

Using all four prevents confirmation bias from a single signal. Running this checklist on your own recent entries shows whether your trades align with trend and momentum, or whether you're fading a strong move without a volatility-backed reason. For deeper coverage of each tool, including commodity-adjusted RSI thresholds and the best indicator combinations, see our guide to the best technical indicators for commodity trading.

All four indicators are built into MT5, Vanto's native charting platform. Here's what you need:

• MT5 for charting and order execution

• Moving averages for trend direction

• RSI for momentum readings

• Bollinger Bands and ATR for volatility context

No additional installs are required. You still need to add the indicators to a chart and save a template once.

Once indicators are pre-configured in a chart template, a full four-step checklist pass takes 3-5 minutes per commodity chart for an experienced trader.

Step 1: Identify the trend with moving averages

Plot a 50-period and 200-period moving average on your chart: price above both signals an uptrend, price below both signals a downtrend, and a crossover signals a potential trend change.

SMA suits gold and slow-moving commodities. It weights all periods equally, which smooths out noise without overreacting to recent price swings.

EMA suits crude oil and natural gas. It weighs recent prices more heavily. That extra responsiveness fits markets where momentum shifts fast.

Both the 50 and 200 MAs filter out short-term spikes and show you the underlying directional bias.

Crossovers using the 50 and 200 MAs are trend signals, but they need confirmation in choppy markets.

• Golden cross: bullish trend signal when the 50 MA crosses above the 200 MA, suggesting upward momentum is building.

• Death cross: bearish trend signal when the 50 MA crosses below the 200 MA, pointing to downward pressure.

Caveat: both signals produce false positives during sideways price action. Confirm with a momentum indicator before acting (covered in Step 3).

Use the 50 and 200 MAs as a quick sanity check before any entry.

Buy signals carry more weight when price is above both MAs. Sell signals carry more weight when price is below both.

Counter-trend entries aren't automatically wrong. Check the setup's historical drawdown before entering a long on gold while price sits below both the 50 and 200 MA.

Step 2: Map support and resistance levels

Scan the chart for historical price peaks and troughs, mark horizontal zones where price reversed at least twice, then note any active trendlines - these become your support and resistance map.

Support is a price level where a falling commodity attracts buyers. Resistance is where sellers step in to cap a rally. In practice, treat both as zones, not exact lines.

Draw a small price band around each turning point to account for wicks and volatility. Gold testing $2,000/oz three sessions in a row before bouncing is a zone, not a single price. Diagonal support along an uptrend is as valid as any horizontal level.

Here's what makes a level worth trusting:

• Number of tests: The more times a level holds without breaking, the stronger it becomes. A level tested repeatedly carries more weight than one touched once.

• Role reversal: When support breaks decisively, it becomes resistance. When resistance breaks, it becomes support. This flip signals the start of a new trend.

• Round numbers: Psychological levels like $2,000/oz for gold or $80/barrel for WTI crude act as natural S&R zones because large orders cluster at these prices.

Before entering a trade, mark the nearest S&R zones on the chart. A credible long entry should sit close to a defined support zone. A credible short should sit near resistance. An entry placed in the middle of a range with no nearby S&R anchor is a red flag. It means the trade has no structural logic behind its timing.

Step 3: Gauge momentum with RSI and oscillators

Check RSI for overbought (above 70) or oversold (below 30) conditions, confirm with MACD crossovers or CCI, and look for divergence between price and the oscillator to spot weakening momentum before it reverses.

RSI runs on a 0-100 scale. Readings above 70 describe overbought conditions; below 30, oversold. These readings are commonly treated as caution zones rather than automatic triggers.

In strong commodity trends, gold during a safe-haven rally can stay above 70 for extended periods. Acting on the overbought reading alone means selling into strength. Some traders wait for RSI to fall back below 70 before treating the reading as a reversal signal.

MACD confirms what RSI suggests. When the MACD line crosses above the signal line while RSI rises from below 50, both indicators agree: momentum is bullish. When they diverge (RSI falling while MACD still climbs, or vice versa), the signal weakens.

A third oscillator can add conviction when MACD and RSI agree.

ROC is an optional add-on: if the Rate of Change accelerates in the same direction as the MACD cross, the move has conviction behind it, not just noise. It does not replace the MACD + RSI check.

RSI divergence is a key warning sign on commodity charts:

• Bearish divergence: Price makes a higher high, RSI makes a lower high. Momentum is fading while price still rises. Watch for this around potential oil tops when supply data shifts sentiment.

• Bullish divergence: Price makes a lower low, RSI makes a higher low. Selling pressure is exhausting itself. Look for this during corrective pullbacks in gold or silver uptrends.

• CCI confirmation: If the Commodity Channel Index also diverges from price while RSI diverges, the reversal signal is significantly stronger.

Oscillators reveal whether an entry sits at a reasonable point or is chasing momentum. The RSI reading at entry is one input traders look at before opening a commodity trade.

A repeated pattern of entries above 70 with no divergence is a red flag worth noting before you commit capital.

Step 4: Measure volatility with Bollinger Bands and ATR

Read Bollinger Band width to gauge volatility expansion/contraction, and use ATR to size stops and filter low-volatility fakeouts before acting on a commodity signal.

Bollinger Band width shows whether volatility is expanding or compressing. The bands plot a 20-period moving average with upper and lower lines set ±2 standard deviations away. Widening bands mean volatility is expanding. When the bands pinch inward (a squeeze), a breakout is building.

In range-bound markets like gold, price closing outside the upper or lower band signals the market has stretched too far from its mean. That's a potential reversal zone, not a continuation entry.

ATR (Average True Range) measures the average candle range over the last 14 periods. A rising ATR means volatility is expanding. A falling ATR means the market is coiling.

Entries in low-ATR environments get stopped out by noise before the move develops. Here's how it plays out on gold: ATR drops to half its 30-day average during a quiet Asian session, a long entry triggers, and the next two candles chop in both directions before price moves at all. The stop at a tight level gets hit before the real move starts. A common convention places stops at 1.5-2x ATR from entry, which gives the trade room to develop without overexposing capital.

BB gives the visual read; ATR gives the numeric confirmation.

Applied to a gold chart: the bands pinch for three sessions, ATR reads well below its 30-day average, and a long entry triggers. That combination means the market lacks the range to push price far enough to cover spread and commission costs. Low-volatility noise consumes the move before it pays out.

Use the signals together:

• BB expanding + ATR rising: Volatility supports the move. A breakout trade has range behind it.

• BB squeezing + ATR falling: Market is coiling with no energy. Wait for the expansion.

• BB squeezing + ATR falling on a long entry (gold or oil): Red flag. In this environment, spreads and commissions consume too much of the expected move. Pause before taking that signal.

Optional confirmation: Volume and open interest (futures markets)

Volume and open interest are optional futures-market confirmation tools: volume measures transaction frequency, and open interest counts outstanding contracts to validate trend conviction.

Volume rises every time a buyer and seller transact a futures contract. High volume on a price move signals stronger participation and conviction behind that move. Low volume on the same move raises doubts.

On Balance Volume (OBV) confirms this: when OBV rises alongside price, the bullish trend has real conviction. Falling volume on a rally is a warning sign that the move lacks follow-through.

NB! Volume and open interest data are futures-specific. These signals are not available on CFD platforms, where contracts have no centralized exchange reporting.

Open interest (OI) is the total number of outstanding futures contracts not yet settled. Rising OI means new money is entering the market and confirms the trend. Falling OI means positions are closing and momentum is fading.

The four classic combinations:

The Herrick Payoff Index (HPI) is one of the few indicators built specifically for futures. It combines price, volume, and open interest to flag bullish and bearish divergences before they show up in price alone.

For futures traders, the OI direction check is a structural sanity check before any entry. A rally is likely short-covering, not a genuine new trend, when OI is falling as price rises.

Key chart patterns for commodity trading

Key commodity chart patterns are Head & Shoulders, Double Tops/Bottoms, Triangles, and Wedges, each signaling either a reversal or continuation.

Reversal patterns warn you the trend is losing steam before it turns.

• Head & Shoulders: a central peak (the head) flanked by two lower peaks (the shoulders). A neckline break confirms the reversal.

• Double top: price tests a resistance level twice, fails both times, and turns bearish.

• Double bottom: the mirror image at support, marking the start of a bullish move.

Continuation patterns show consolidation mid-trend before the prior move resumes.

• Triangles (ascending, descending, symmetrical): price compresses into a tighter range, then breaks in the original trend direction.

• Wedges are counter-intuitive: a rising wedge signals a bearish reversal; a falling wedge signals a bullish one.

• Flags: a brief, tight pullback after a strong move that resolves back in the original direction.

Candlestick patterns add a short-term confirmation layer on top of the larger structure. Every candlestick pattern falls into two axes: continuation or reversal, and bullish or bearish.

At key support or resistance, watch for doji (indecision) and engulfing candles (stronger conviction). A bullish engulfing at support adds weight to a double bottom. A bearish engulfing at resistance reinforces a double top. Candlesticks don't replace the larger pattern. They confirm it.

Patterns as a sanity check. When you are considering a long trade and the chart shows a completed Head & Shoulders with a broken neckline, the structure argues directly against that direction. That's a structural mismatch.

Before entering, check the timeframe you are reading. A double top sitting above a long entry is quick to spot and can keep you out of a trade that runs against the chart structure.

Risk management for commodity trades

Commodities carry more volatility per price move than most stocks or forex pairs. Leverage multiplies that exposure fast. These four rules keep losses manageable.

1. Stop-loss placement. A common convention places stops at 1.5-2x ATR from entry, far enough to absorb normal daily swings. Parabolic SAR works well as a trailing stop in trending markets, automatically ratcheting closer to price as a trade moves in your favor.

2. Per-trade risk sizing. Fixed-fractional sizing conventions commonly cap per-trade risk at 1-2% of account equity. On a $5,000 account that works out to $50-$100 per trade, whatever the position size. Under this convention the position is sized to the stop, not the other way around.

3. Leverage risk in commodity markets. Gap moves happen fast in commodities. OPEC decisions, geopolitical shocks, and CPI prints can push prices through stop levels before orders fill, leaving losses beyond posted margin. Vanto offers up to 1:500 leverage on metals, with a 50% stop-out level on both account types. Know that threshold before sizing any position. It tells you the maximum adverse move your account survives before forced liquidation.

4. Non-price risks. Price charts don't capture everything. Three risks sit outside the chart entirely:

• Fraud risk: Trafigura recorded approximately $577 million in impairment after nickel containers turned out to hold lower-value materials. No technical setup flags that.

• Sanctions risk: Nayara Energy lost access to SBI foreign currency transactions due to US/EU sanctions concerns, cutting off its crude oil trading.

• Currency risk: The South African rand strengthened in early 2025 as record gold prices lifted export receipts. Importers paid more even as gold producers gained.

Applying the checklist to your own trades

Applying the checklist to your own trades means using your four-step trend, S&R, momentum, and volatility analysis to validate each setup before you enter. Then set predefined rules on when to pause or stop trading a setup, how much risk to allow per trade, and what drawdown level triggers a stop.

Leverage keeps your exposure intact whatever a setup did in the past. Past results reflect conditions that have already passed.

They don't predict how a setup behaves when OPEC cuts output overnight or a CPI print sends gold spiking. Use a simple technical checklist as a sanity filter before every entry.

The workflow runs in three sequential layers:

1. Validate before entering - run the setup through the four-step technical checklist.

2. Cap size while trading - a common convention limits each trade to 1-2% of account equity and total commodity exposure to 5-10% of account equity.

3. Exit systematically - define drawdown thresholds before you start, and stop trading the setup when they breach.

When to pause or stop trading a setup

Traders commonly pause a setup when its drawdown exceeds a pre-set limit, when its win rate drops sharply over 20+ trades, or when market conditions shift away from its edge, and stop it permanently if process rules are broken or the equity curve shows structural deterioration.

Pause triggers to watch:

• Drawdown threshold: One convention pauses when open drawdown reaches 2x the setup's historical peak, so 16% if the worst dip was 8%. That gap separates normal variance from something structural worth investigating.

• Win rate decline: A win rate falling more than 15 percentage points below the 90-day average across the last 20 closed trades signals edge degradation, not bad luck.

• R:R deterioration: Shrinking R:R is an early warning signal. When stops widen and targets tighten, pause and reassess before the next drawdown leg develops.

• Checklist regime check: Run the four-step checklist again. If Step 1 (trend) has flipped from the direction the setup relies on and Step 3 (momentum) confirms divergence, the conditions that built its record are gone. Watch Step 4 ATR specifically around OPEC headlines and CPI releases. ATR expansion on those events signals a regime shift, not just volatility.

Permanent stops are reserved for broken process, not just poor results: moving or removing stop-losses on losing positions, sizing up to 3× the normal lot size without a plan, or overtrading with a burst of low-quality setups in a short window.

Cap risk per trade and total exposure

A common approach sets a per-trade risk cap of 1-2% of account equity and a total commodity exposure cap of 5-10%, sizing each position to its stop.

Fixed fractional sizing keeps this in check. Here's how the math works:

1. A 1-2% per-trade risk cap is applied to account equity

2. On a $5,000 account at 1%, the maximum loss per trade is $50

3. That $50 figure, together with the stop distance, determines the lot size

Leverage makes total exposure easy to underestimate. At 1:500, a $200 margin deposit controls $100,000 in notional value, so your account balance can look stable while your actual market exposure is far larger than the margin figure suggests. This is why sizing rules must be set before trading begins, not adjusted after a drawdown has already started.

Across multiple open positions, this convention keeps total exposure to 5-10% of account equity. This limits the damage if correlated positions draw down together. Correlation tends to increase during broad market shocks, shrinking the diversification benefit exactly when you need it most.

The platform enforces a 50% stop-out floor on both Standard and Raw accounts as an absolute last-resort backstop. Personal per-trade and portfolio caps are set to trigger well before that floor is reached. The stop-out is not a risk management tool. It is a margin protection mechanism for extreme scenarios.

Define drawdown limits before you trade

Rules are commonly set before trading begins rather than after. Once a losing position is being watched in real time, emotions take over and rational decisions become harder. Exit conditions are decided upfront, in writing, before a single trade is placed.

A standard institutional rule is a 20% maximum drawdown on any single strategy before pausing. At that level, you need a 25% gain just to recover to breakeven. The math compounds against you fast.

Vanto's platform stop-out triggers at 50% margin. A personal ceiling set well before that threshold means exiting by choice instead of by force-closure. If the system acts first, the decision has already been made.

Keep leverage in mind: at 1:500, a 1% adverse move can wipe 500% of margin if the position is sized incorrectly. Your drawdown ceiling is what stops leverage from turning one bad trade into a catastrophic loss.

Platforms and tools for commodity analysis

MT5 handles technical analysis, charting, and automation.

MT5 covers every step of the commodity checklist with built-in indicators, no plugins needed:

• Trend: Moving averages (SMA, EMA, WMA) across any timeframe

• Support/resistance: Horizontal line and Fibonacci drawing tools

• Momentum: RSI, MACD, and Stochastic oscillators

• Volatility: Bollinger Bands and ATR, both native

• Volume confirmation: Tick volume and on-balance volume for futures markets

Available instruments include XAU/USD, XAG/USD, and UK Brent crude as CFDs. Execution runs through an A-Book model at sub-28ms speeds.

VPS via ForexVPS.net keeps MT5 automated strategies running 24/7 with 99.9% uptime. No local machine required.

Put Your Commodity Analysis to Work on Vanto

A technical checklist only delivers edge when your broker executes it cleanly. Spreads that widen during a commodity spike or fills that arrive after the level breaks erase a setup before it starts. A fill arriving 400ms late on a gold breakout can mean entering 30 pips above the intended level. Sub-28ms execution keeps fills at the level they need to be.

You can trade Gold (XAU/USD), Silver (XAG/USD), and Oil (UK Brent) as CFDs alongside Forex, Indices, and Crypto from one account. Raw spreads start from 0.0 pips, with leverage up to 1:500 on metals and 1:100 on energy. MT5 is available on desktop, web, and mobile.

For commodity traders working off tight technical levels, the Raw Account is the better fit: 0.0 pip spreads and a flat $3.50/lot commission keep costs predictable at every entry. Orders route via A-Book/STP to tier-1 liquidity providers in under 28ms, with no dealing desk between your signal and the market. The Standard Account (spreads from 1.0 pip on FX, no commission) works for lower-frequency setups.

The four-step checklist applies to every gold or oil entry before you place it, alongside risk caps commonly cited at 1-2% per trade.

EA traders can connect through ForexVPS.net for 99.99% uptime, keeping automated strategies running continuously.

Start with a Standard account at $25, or open a Raw account at $100 if you're trading off technical levels and need the tighter spreads. Open an account at Vanto.

FAQ

What is the difference between technical analysis and fundamental analysis?

Fundamental analysis evaluates a commodity's intrinsic value through economic factors, while technical analysis uses historical price and volume data to identify setups historically associated with subsequent trend continuation or reversal; neither approach guarantees future outcomes.

Fundamental analysis (FA) uses supply/demand data, OPEC decisions, weather patterns, and inventory reports. Technical analysis (TA) uses price charts, volume, and indicators like RSI, MACD, and moving averages.

FA identifies what to trade by assessing long-term value. TA determines when to enter or exit based on short-term price behavior and market psychology.

Most professional commodity traders combine both approaches. FA builds the long-term directional view (e.g., rising oil inventories = bearish bias), while TA times the entry on pullbacks or breakouts.

Does fundamental analysis work with commodities?

Fundamental analysis is applied to commodities by examining supply-demand dynamics, inventory levels, and macroeconomic indicators that have historically been associated with longer-term price trends and risk premiums.

Studies of historical data have associated low inventory levels with higher subsequent futures returns; one frequently cited backtest reported an 8.06% annualized excess return in portfolio tests. Industrial production growth has been associated with metals and energy returns, with up to +70 bps in monthly excess returns reported in some studies. Backtested figures; past results do not guarantee future performance, and live trading involves costs and slippage not captured in backtests.

FA models carry high noise with R² values of just 0.03-7%, making precise short-term timing unreliable. Reported predictability peaks at 1-4 month horizons in some studies and rarely beats simple benchmarks at intraday or 6-month-plus timeframes.

CFD traders use Gold, Silver, and Oil CFDs to speculate on fundamental shifts without physical delivery. A practical approach: use FA to form a directional bias, then wait for TA confirmation (e.g., a support bounce or RSI reset) before entering.

How often is technical analysis correct?

Technical analysis is a probabilistic tool. Academic reviews report historical hit rates clustered between 30% and 60%, though modern market efficiency, transaction costs, and data-snooping adjustments have eroded reported net profitability in many studies. Backtested figures; past performance does not guarantee future results.

A review of 92 academic studies found 63% reported positive TA results, though gains dropped in futures markets after the 1990s. Early commodity systems on corn and sugar (1975-1984) were reported to return 1.89-2.78% monthly using trend-following rules under the conditions tested. These figures are backtested results from academic literature; live trading involves costs and slippage not captured in those tests, and the same rules may not produce comparable results going forward.

Transaction costs of 0.05-0.15% per trade can materially erode reported TA outperformance, turning otherwise accurate signals into losing trades after costs. In gold and silver, one study found no technical rules remained statistically significant after adjusting for data-snooping bias and real-world trading lags.

Treat TA as a filter for trends and key levels, not a standalone prediction engine. Apply the four-step checklist (trend, support/resistance, momentum, volatility) as a sanity check before placing a trade.

What are the most important crude oil contracts?

The most important crude oil contracts are West Texas Intermediate (WTI) and Brent, which serve as the primary global pricing benchmarks.

WTI (Light Sweet Crude) averages over 1 million contracts daily, making it the world's most liquid oil market. Vanto Raw Account holders trade Oil with spreads from 0.0 pips and a flat $3.50/lot commission, keeping costs predictable for technical traders running high-frequency setups.

Brent prices roughly two-thirds of the world's internationally traded physical oil, making it the dominant global benchmark. ICE Brent hit a record open interest of 3.2 million lots in late 2025, reflecting deep institutional participation.

Shanghai Crude (SC) is now the third-largest oil contract globally and the primary benchmark for Asian buyers. Dubai Crude and DME Oman handle Middle Eastern sour crude pricing for exports into Asia.

Vanto supports Oil CFD trading including UK Brent, giving traders direct access to the world's most-watched crude benchmark. Open a Raw Account to trade Brent with raw spreads and zero commission.

Related guides. For the broader workflow, start with the pillar on how to trade commodities, then pair this chart-reading checklist with commodity fundamental analysis to confirm what the price action is reacting to. Traders applying Step 1 can go deeper on trend-following strategies for commodities, while the risk rules in this guide connect to dedicated commodity risk analysis. For a cost term that affects every technical entry, see the glossary entry on the spread in trading.