Indicator Lab · TRUE RANGE · Volatility
True Range
Takes the maximum of the high-low range and absolute distances from high or low to the previous close.
BTCUSDC · 1h · latest 30 complete days · shared snapshot · no account required
What range results when the previous close is included as a reference?
Takes the maximum of the high-low range and absolute distances from high or low to the previous close.
One dataset, the same parameters and the same candle for application and explanation.
BTCUSDC · confirmed hourly candles
Snapshot retrieved: 11 Oct 2026, 15:52 UTC · stored snapshot · background refresh scheduled · age when opened: 3,135.7 min
11 Sept 2026, 15:00 — 11 Oct 2026, 15:00 UTC · 720 evaluation candles · 3000 earlier candles for warm-up only. Your opened snapshot stays fixed. A visit can refresh a stale cache in the background for later visitors; fetching fresh is not a tick stream.
Parameters and precise application
Volatility and position risk
Inspect the actual value at each confirmed candle. This analysis produces no buy or sell orders.
Shared capital and cost model
Includes the buy fee; the remainder stays in cash.
One adverse markup/markdown. Do not add spread a second time.
Preparing the calculation module. The shared market snapshot is already available.
Calculation and interpretation of the same candle
The USDC range captures moves relative to the previous close outside the current candle’s range.
TRₜ=max(Hₜ−Lₜ,|Hₜ−Cₜ₋₁|,|Lₜ−Cₜ₋₁|)
TA-Lib C standard; null during warm-up. No claim of parity with a deployed unCoded engine.
A single true range is highly variable, directionless and neither a forecast nor a guaranteed loss limit.
Checked sources and reproducibility
- TA-Lib · TRANGE · v0.6.4
Original C reference implementation. Custom scaling and additional lines are described separately. · checked 2026-10-11
- pandas-ta 0.4.71b0 · pandas_ta/volatility/true_range.py
Verified original file from the versioned library; the implemented convention and deliberate differences accompany the formula. · checked 2026-10-11
- The Probability of Backtest Overfitting
Why selection across many historical trials can produce misleading results. This tool does not estimate PBO or claim out-of-sample profitability. · checked 2026-10-11
Data source, versions and hash
- Market data source
- https://data-api.binance.vision/api/v3/klines?symbol=BTCUSDC&interval=1h&startTime=1778338800000&endTime=1791730799999
- Specification
- indicator-library-1.0.0
- Execution model
- signal-simulation-1.0.0
- Data hash
- 42ac75e03e017bcac023d319dabb0928e0562fda0e51f4bfa5549ac50e3e8be4
- Disclosed candles including warm-up
- 3720
The sources support definitions and methodological limits. They do not establish profit for this specific BTCUSDC rule. This analysis is descriptive; parameter trials on the same history are not independent out-of-sample evidence. Parity with a deployed unCoded engine is not claimed.