Market Entropy
Indikator
124 unduhan
Versi 1.0, Aug 2025
Windows, Mac
Sejak 26/05/2025
494.31M
Volume trading
65.57K
Pip dimenangkan
16
Penjualan
1.68K
Instal gratis
Deskripsi
Market Entropy adalah indikator ganda (osilator + overlay harga opsional) yang mengukur organisasi pasar dan menandai pergeseran rezim di seluruh Order → Transition → Chaos. Ini menambahkan garis kedua, Trendness (DC), untuk memisahkan tren sejati dari penyempitan volatilitas.
Cara kerjanya:
- Hanya menggunakan komponen OHLCV: DC (konsistensi arah), FlipRate (perubahan tanda), Volatility_n (ATR/ATRlong), VolumeTurb (deviasi standar dari ΔVolume).
- Entropi mentah:
E0 = 0.5*(1-DC) + 0.3*(FlipRate*VolN) + 0.2*VolumeTurb). - Istilah anti-squeeze menurunkan E selama kompresi ATR → Entropi akhir ∈ [0..1] dengan perataan EMA.
- Penanda:
-
- CRYSTAL — menyeberang di bawah LowThr (munculnya keteraturan: tren atau penyempitan pra-break).
- DISSOLVE — menyeberang di atas HighThr (keteraturan pecah: kekacauan/peluruhan tren).
Apa yang Anda lihat:
- Di panel: Entropy, Entropy(EMA), Trendness (DC), ambang batas Low/High, latar belakang zona.
- Di grafik (dapat diaktifkan/dinonaktifkan): batang berwarna status, pita tipis di atas puncak, dan penanda CRYSTAL/DISSOLVE.
Panduan membaca:
- E < LowThr → Order:
-
- dengan DC tinggi → tren yang terorganisir;
- dengan ATR rendah → penyempitan (harapkan breakout).
- LowThr…HighThr → Transition: struktur terbentuk; tunggu resolusi.
- E > HighThr → Chaos: ketidakpastian / tren melemah; hindari entri kelanjutan yang naif.
Playbook:
- Penyempitan → CRYSTAL → Break/Retest — perdagangkan breakout.
- Tren → DISSOLVE — kurangi posisi atau perketat risiko.
Ringkasan
AI summary
Market Entropy is a dual-component indicator combining an oscillator and an optional on-chart overlay designed to quantify market structure and identify regime shifts among Order, Transition, and Chaos phases. It uses OHLCV data inputs—Directional Consistency (DC), FlipRate (sign flips), normalized volatility (ATR ratios), and volume turbulence (standard deviation of volume changes)—to compute a raw entropy value. This value is adjusted for volatility compressions and smoothed with an EMA, producing a final entropy measure scaled between 0 and 1.
The indicator features a secondary Trendness line (DC) to distinguish true trends from volatility squeezes. It provides visual markers: CRYSTAL signals when entropy crosses below a low threshold indicating emerging order (trend or pre-break squeeze), and DISSOLVE signals when entropy crosses above a high threshold indicating breakdown into chaos or trend decay.
Displayed in a separate panel, users see Entropy, its EMA, Trendness, threshold levels, and background zones. On-chart elements include state-colored bars, a ribbon above price highs, and CRYSTAL/DISSOLVE markers, which can be toggled on or off.
Interpretation guidelines classify low entropy with high DC as organized trends, low entropy with low ATR as squeezes anticipating breaks, mid-range entropy as transition phases, and high entropy as chaotic conditions where trend continuation is uncertain. Typical use cases include trading breakouts after squeezes and managing risk by scaling out during trend dissolutions.
The indicator features a secondary Trendness line (DC) to distinguish true trends from volatility squeezes. It provides visual markers: CRYSTAL signals when entropy crosses below a low threshold indicating emerging order (trend or pre-break squeeze), and DISSOLVE signals when entropy crosses above a high threshold indicating breakdown into chaos or trend decay.
Displayed in a separate panel, users see Entropy, its EMA, Trendness, threshold levels, and background zones. On-chart elements include state-colored bars, a ribbon above price highs, and CRYSTAL/DISSOLVE markers, which can be toggled on or off.
Interpretation guidelines classify low entropy with high DC as organized trends, low entropy with low ATR as squeezes anticipating breaks, mid-range entropy as transition phases, and high entropy as chaotic conditions where trend continuation is uncertain. Typical use cases include trading breakouts after squeezes and managing risk by scaling out during trend dissolutions.
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Harga
Sejak 26/05/2025
494.31M
Volume trading
65.57K
Pip dimenangkan
16
Penjualan
1.68K
Instal gratis