Indicator Lab · AMAT · Trend structure
Archer Moving Average Trends
Derives long and short trend states from the evolution of two moving averages.
BTCUSDC · 1h · latest 30 complete days · shared snapshot · no account required
Which combination of fast and slow average movements is currently active?
Derives long and short trend states from the evolution of two moving averages.
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: 3,139 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
Number of confirmed hourly candles. Warm-up history stays fixed; only this parameter changes.
Number of confirmed hourly candles. Warm-up history stays fixed; only this parameter changes.
Number of confirmed hourly candles. Warm-up history stays fixed; only this parameter changes.
Directional rule · long or cash
BUY when AMAT long state first changes from 0 to 1. SELL when short state changes from 0 to 1. A short state only closes a long position here. No shorting/pyramiding; cash start, fills no earlier than the next open with selected costs.
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.
1 = next open. No retroactive trade at the signal close.
Preparing the calculation module. The shared market snapshot is already available.
Calculation and interpretation of the same candle
A persistent state differs from its first occurrence; only a specified transition rule generates new signals.
Long: Δlookback(fastEMA)>0 and Δlookback(slowEMA)≠0; Short: fast delta<0 and slow delta≠0
EMA variant of pandas-ta long_run/short_run; both averages must have valid lagged values.
Boolean trend flags are neither orders nor market positions. Windows, equality and transition handling are part of the rule.
Checked sources and reproducibility
- pandas-ta 0.4.71b0 · pandas_ta/trend/amat.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.