True Strength Index (TSI) Indicator Guide
TSI uses double-smoothed price changes to measure trend direction and overbought/oversold conditions with less lag than traditional momentum oscillators.

Settings — TSI
| Category | oscillator |
| Default Period | null |
| Best Timeframes | H1, H4, D1 |
The True Strength Index was developed by William Blau in 1991 and published in Stocks & Commodities magazine — yet it remains far less cited than RSI or MACD despite offering measurably lower signal lag. By applying two layers of exponential smoothing to raw price momentum, TSI produces a cleaner oscillator that sits between -100 and 100, giving traders both trend direction and momentum exhaustion signals from a single line.
Key Takeaways
- TSI starts with a simple idea: measure how much price changed from one bar to the next, then smooth that change twice to...
- Four distinct signal types emerge from TSI. First, zero-line crossovers: when TSI crosses above zero, momentum has shift...
- The default parameters of 25/13/7 were designed with daily charts in mind. On D1, those defaults perform well for swing ...
1How Does the True Strength Index Calculate Its Values?
TSI starts with a simple idea: measure how much price changed from one bar to the next, then smooth that change twice to remove noise. The first smoothing uses a 25-period EMA of the raw price change. The second applies a 13-period EMA on top of that result — this double-smoothing is what separates TSI from single-smoothed momentum oscillators like ROC or raw momentum. The final value is expressed as a ratio: the double-smoothed price change divided by the double-smoothed absolute price change, multiplied by 100. That division step normalizes the output to the -100 to 100 range regardless of the asset's price level, making TSI directly comparable across instruments — a EUR/USD reading of +35 carries the same meaning as a gold reading of +35. A 7-period EMA of the TSI line itself serves as the signal line, mirroring the structure of MACD. The math, while layered, produces one practical outcome: trend direction is reflected quickly, and momentum reversals appear with less delay than a standard 14-period RSI would generate on the same data.
2How to Read TSI Buy Signals, Sell Signals, and Divergence
Four distinct signal types emerge from TSI. First, zero-line crossovers: when TSI crosses above zero, momentum has shifted bullish; a cross below zero signals bearish momentum. These are the broadest signals and work best on D1 charts where false crosses are filtered by the longer timeframe context. Second, signal-line crossovers: when the TSI line crosses above its 7-period signal line, that constitutes a buy trigger; crossing below generates a sell trigger. These are faster and more frequent than zero-line crosses. Third, overbought and oversold readings: values above +25 suggest overbought conditions while readings below -25 indicate oversold territory — though in strong trending markets, TSI can hold above +25 for extended periods without reversing. Fourth, and arguably most reliable, is divergence. Bullish divergence occurs when price prints a lower low while TSI prints a higher low — a sign that selling momentum is fading. A practical example: during the EUR/USD decline between August and October 2022, TSI on the D1 chart formed a bullish divergence pattern near the 0.9600 price zone approximately two weeks before the pair staged a 600-pip recovery. Bearish divergence — price making a higher high while TSI makes a lower high — carries equivalent weight on the sell side.
“The default parameters of 25/13/7 were designed with daily charts in mind.”
3What TSI Settings Work Best Across Different Timeframes?
The default parameters of 25/13/7 were designed with daily charts in mind. On D1, those defaults perform well for swing trading, capturing multi-day momentum shifts without excessive noise. The 25-period long EMA spans approximately five trading weeks, giving the indicator enough historical context to filter intraday volatility. On H4 charts, shortening the long period to 20 and the short period to 10 (keeping signal at 7) produces more responsive readings suitable for 2-to-5 day position trades. Signals remain meaningful without the indicator becoming erratic. H1 presents the greatest challenge. At default settings, TSI on H1 lags enough to miss fast intraday moves. Reducing parameters to 13/7/5 brings responsiveness closer to what traders expect on a one-hour chart, though the trade-off is a higher rate of false signal-line crossovers during ranging sessions. A practical rule: on any timeframe below H4, confirm TSI signal-line crossovers with a secondary condition — such as the zero line being on the same side as the crossover direction — before acting. This single filter can materially reduce false entries during low-volatility periods.
4Practical Application: Combining TSI With Entry and Exit Management
TSI functions most effectively as a confirmation tool rather than a standalone entry trigger. A common framework pairs TSI with a trend-following indicator like a 50-period EMA: only take TSI buy signals when price is above the 50 EMA, and only take sell signals when price is below it. This directional filter eliminates a significant portion of counter-trend whipsaws. For exits, TSI divergence against an open position provides an objective, rules-based reason to close — more systematic than relying on fixed profit targets alone. Stop-loss placement can be anchored to the swing high or low that preceded the TSI crossover signal, giving each trade a logical invalidation point. Pulsar Terminal's multi-level SL/TP and one-click order tools allow traders to set these TSI-derived stop and target levels directly on the MetaTrader 5 chart the moment a signal appears, reducing execution delay between signal identification and order placement. One underappreciated application of TSI is monitoring it during news releases: a TSI reading already at extreme levels (+30 or -30) before a high-impact event suggests momentum is stretched, and any surprise in the opposite direction could accelerate a reversal rather than extend the existing move.
Frequently Asked Questions
Q1What is the difference between TSI and MACD?
Both use EMA-based smoothing and a signal line, but TSI applies double smoothing to price changes and normalizes the result to a fixed -100 to 100 scale, making readings comparable across instruments. MACD measures the distance between two price EMAs and is not normalized, so its absolute values vary significantly by asset and price level.
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About the Author
Daniel Harrington
Senior Trading Analyst
Daniel Harrington is part of the Pulsar Terminal team, where he leads the blog and editorial content. With over 12 years of experience in forex and derivatives markets, he covers MT5 platform optimization, algorithmic trading strategies, and practical insights for retail traders.

Risk Disclaimer
Trading financial instruments carries significant risk and may not be suitable for all investors. Past performance does not guarantee future results. This content is for educational purposes only and should not be considered investment advice. Always conduct your own research before trading.
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