What is a worked example of Ichimoku Trend?
A worked example of Ichimoku Trend is a step-by-step numerical scenario that shows how the Ichimoku lines are calculated from past price highs and lows, and how their relative positions are then interpreted as trend context. The word “worked” means every intermediate value is shown so a reader can reproduce the same numbers from the same assumptions.
How does a worked example of Ichimoku Trend work?
Ichimoku uses multiple outputs built from different lookback windows and then compared to each other and to price.
Stable mechanics (what you calculate):
- Tenkan-sen (Conversion line): typically the midpoint of the highest high and lowest low over a short lookback.
- Kijun-sen (Base line): typically the midpoint of the highest high and lowest low over a longer lookback.
- Senkou Span A (Leading span A): typically the midpoint of Tenkan-sen and Kijun-sen, plotted forward.
- Senkou Span B (Leading span B): typically the midpoint of the highest high and lowest low over the longest lookback, plotted forward.
- Chikou Span (Lagging span): typically the current close plotted backward.
Because different charting implementations may shift lines by different numbers of periods, a worked example must state the exact parameters used.
Worked numerical scenario (all assumptions stated)
Assumptions (for this example only):
- We work in “periods” rather than real dates.
- Tenkan lookback = 9 periods; Kijun lookback = 26 periods; Span B lookback = 52 periods; the spans are plotted forward by a fixed displacement (common Ichimoku practice).
- To keep arithmetic feasible, we use a small mock dataset summary that already provides the required highest-high and lowest-low values for each lookback window at the moment we compute.
- The goal is to demonstrate calculation flow, not to predict market moves.
Step 1: Choose the window extremes (mock inputs). Assume that at the computation moment:
- Highest high over the last 9 periods = 110
- Lowest low over the last 9 periods = 100
- Highest high over the last 26 periods = 120
- Lowest low over the last 26 periods = 95
- Highest high over the last 52 periods = 130
- Lowest low over the last 52 periods = 90
Step 2: Compute Tenkan-sen and Kijun-sen.
- Tenkan-sen = (110 + 100) / 2 = 105
- Kijun-sen = (120 + 95) / 2 = 107.5
Step 3: Compute Senkou Span A and Span B (the “cloud” edges).
- Senkou Span A = (Tenkan-sen + Kijun-sen) / 2 = (105 + 107.5) / 2 = 106.25
- Senkou Span B = (130 + 90) / 2 = 110
Step 4: Interpret trend context from relative positions (scenario interpretation). At the future displacement location (where you plot the leading spans), the cloud edges would be approximately:
- Span A = 106.25
- Span B = 110 So Span A < Span B in this scenario.
A typical interpretation framework in Ichimoku analysis is:
- If price is positioned relative to the cloud and the cloud edges behave consistently, that provides trend context; the cloud is often described as a visual area where bullish/bearish pressure may differ.
- Whether the cloud is rising or falling, and where price sits relative to it, influences the qualitative read.
Important: this example shows only one computed set of values. A reader should compute the next points over time to see whether the cloud thickens, flips, or stays stable.
Evidence or example comparison you can verify independently
To verify a worked example, you should check two layers:
- Calculation layer: recompute the midpoint formulas using the stated highest-high and lowest-low inputs.
- Interpretation layer: confirm how your chosen implementation defines displacement and how it draws the cloud edges.
Because the “highest high” and “lowest low” depend on the exact lookback window boundaries, a mismatch in period counting or displacement can change all subsequent comparisons.
Limitations and risks (material failure modes)
- Parameter mismatch across implementations: Some platforms use different defaults for lookbacks and displacement; your reproduced values may differ even if formulas are “approximately” correct. 2. Flat or choppy regimes: When highs and lows cluster, the midpoints and cloud may provide weak separation between trend conditions. 3. Lookback sensitivity: Small changes in the highest high or lowest low can shift Tenkan/Kijun and therefore the cloud edges. 4.