Original TECHi illustration of a currency pair. It depicts no current exchange rate.
Originally written by Sohail Qaisar. Updated by Qaiser Sultan.
Forex technical analysis uses past prices and chart indicators to describe trends, momentum and possible turning points in a currency pair. Its practical value is in making a trading idea explicit: what you are watching, what would invalidate it and how much the position could lose. A chart cannot establish that the next trade will be profitable.
This guide explains how to read a forex chart, what common indicators measure and how to check a trade's arithmetic before considering an order. The examples are hypothetical, not current exchange rates or recommendations. Regulatory references concern U.S. retail forex; product rules and protections differ by jurisdiction.
Start with the currency pair and the price you can trade
In EUR/USD, the euro is the base currency and the dollar is the quote currency. A hypothetical quote of 1.1000 means one euro costs $1.10. Buying 10,000 units means a position in €10,000, with a $11,000 notional value at that exchange rate. OANDA's position-size explanation distinguishes units from standard lots, which represent 100,000 units of base currency.
The bid is the price at which you can sell; the ask is the price at which you can buy. Their difference is the spread. A chart may display bid, ask or midpoint prices, so a line touching your target does not necessarily mean an executable price touched it. Check the platform's price setting and order-trigger rules. OANDA's platform documentation explains these settings and notes that chart prices are indicative.
Retail forex is generally available across the business week, rather than continuously seven days a week. Exact hours depend on the dealer and instrument. For example, OANDA's U.S. schedule lists most FX products from Sunday evening to Friday afternoon in New York time, with a daily maintenance break and exceptions for some pairs. Do not assume your broker follows the same schedule.
Read the chart before adding indicators
Set the pair, timeframe, timezone and price basis first. One hourly candle summarizes one hour; one daily candle summarizes a day using the provider's session boundary. Comparing charts with different boundaries can produce different candles without either feed being broken.
A candlestick records the opening, highest, lowest and closing prices for its interval. Its body spans the open and close; its wicks extend to the high and low. The color convention depends on the platform. An upward candle tells you the close exceeded the open; it does not tell you whether the next candle will rise.
Start by asking whether successive highs and lows are rising, falling or largely overlapping. Then mark areas where the price previously paused or reversed. These are candidate support and resistance zones, not barriers. Fidelity's technical-analysis overview describes chart patterns and their limitations: historical behavior can fail to repeat, and indicators can disagree.
TECHi illustration using 20 invented EUR/USD closes. The shaded area is an example zone; no real market observations are shown.
The illustration uses 20 invented closing prices. The five-session average smooths the line but reacts after the underlying prices change. The highlighted zone is a teaching example, not an observed EUR/USD support level. Drawing a neat zone after seeing the full chart is much easier than identifying it beforehand.
What moving averages, RSI and MACD actually measure
A simple moving average, or SMA, is the arithmetic mean of prices over a chosen number of intervals. For hypothetical closes of 1.1000, 1.1010, 1.1020, 1.1015 and 1.1030, the five-period SMA is 1.1015. On the next interval, drop the oldest observation and add the newest. Fidelity's SMA guide explains how this smooths price fluctuations. A longer window changes more slowly; smoothing always involves a trade-off with responsiveness.
The Relative Strength Index, or RSI, measures momentum on a zero-to-100 scale. Traders commonly watch 70 and 30 as overbought and oversold thresholds. Those labels are not automatic sell and buy instructions: RSI can remain elevated or depressed during a strong trend. Record the lookback period and calculation convention before comparing values across platforms.
MACD commonly subtracts a 26-period exponential moving average from a 12-period EMA, then compares the result with a nine-period signal-line EMA. Crossovers describe changes in the relationship between those averages. In a sideways market, repeated crossovers can generate losing reversals, often called whipsaws.
Using several indicators derived from the same price series does not provide several independent confirmations. A more useful worksheet records what each indicator adds: direction, momentum or volatility. If two tools answer the same question, more lines may add clutter rather than evidence.
Worked example: pips, position size and trading costs
For EUR/USD, a conventional pip is 0.0001; some pairs, including many quoted in yen, use a different decimal place. A fifth EUR/USD decimal is a fractional pip. Check the instrument specification rather than copying pip values between pairs.
Suppose a trader buys 10,000 EUR/USD units at an executed ask of 1.1000 and later sells at an executed bid of 1.1050. The difference is 0.0050, or 50 pips. Gross profit is 10,000 × $0.0050 = $50. At that position size, one pip is worth $1. An exit at 1.0950 instead produces a $50 gross loss.
These are executed bid-and-ask prices, so the spread is already reflected in the price difference. Do not subtract it a second time. Separate commissions, financing and conversion charges still need to be deducted. If a backtest instead uses midpoint prices, it must model executable spreads and other costs explicitly.
For an illustrative $1,000 account, a planned $10 price loss with an entry at 1.1000 and a stop trigger at 1.0980 gives a 20-pip distance. Ignoring costs and slippage, the corresponding size is $10 ÷ (20 × $0.0001) = 5,000 units. This arithmetic is a way to describe an assumption, not a recommended risk percentage. The actual loss can exceed the plan if execution is worse or charges apply.
Leverage changes the account impact, not the chart
Consider $1,000 of account equity. A $10,000 position is 10 times that equity. A 1% adverse change in the position's value means an approximately $100 loss before costs: 10% of the starting account equity. With a $20,000 position, the same percentage move means approximately $200, or 20%. The approximation isolates leverage and assumes no other positions, cash flows or currency-conversion effects.
TECHi calculations using hypothetical $1,000 equity and $1,000, $10,000 and $20,000 position values. Costs, closeouts and conversion effects are excluded.
The table gives the same illustrative calculations in text. It assumes a 1% adverse change in notional value and excludes costs, closeouts and conversion effects.
| Position value | Multiple of $1,000 equity | Loss from 1% adverse move | Share of starting equity |
|---|---|---|---|
| $1,000 | 1× | $10 | 1% |
| $10,000 | 10× | $100 | 10% |
| $20,000 | 20× | $200 | 20% |
Margin is collateral, not the maximum possible loss. The CFTC's retail forex advisory warns that leverage magnifies losses and a trader may lose more than the initial deposit. In over-the-counter forex, the dealer is the counterparty; a trading app is not necessarily a connection to an exchange. Read the account agreement, margin-closeout terms and withdrawal conditions.
Turn a chart idea into a testable plan
Write the rules before looking at the result. Define the pair, timeframe, entry condition, exit condition, position-size calculation and maximum exposure. Include spreads, commissions, overnight financing and plausible slippage. Specify what happens around market closures and important economic announcements.
Keep a separate period of data for evaluation after choosing the rules. Changing the parameters until the same historical sample looks profitable can fit noise rather than a repeatable relationship. A demo account can help reveal order-entry mistakes, but simulated fills and the absence of real financial pressure limit what it proves. Neither a polished backtest nor several successful trades establishes future profitability.
Technical signals also need context. A central-bank decision or economic release can change prices faster than an indicator responds. A normal stop is an instruction subject to the dealer's execution terms, not a promise of a fixed loss. Check whether the instrument supports guaranteed stops, their conditions and any premium before assuming that protection exists.
Finally, verify the provider independently. The CFTC's forex-fraud guidance warns about guaranteed returns, unregistered dealers and social-media solicitations. Registration does not make a strategy safe, and an attractive chart does not establish that withdrawals will work. For automated systems, TECHi's guide to evaluating trading bots covers the separate questions of permissions, testing and costs.
Comments