Market Entropy
Indikator
113 muat turun
Versi 1.0, Aug 2025
Windows, Mac
Sejak 26/05/2025
487.63M
Volum yang didagangkan
65.25K
Pip dimenangi
16
Jualan
1.54K
Pemasangan percuma
Penerangan
Market Entropy adalah penunjuk dwi (osilator + lapisan harga pilihan) yang mengukur organisasi pasaran dan menandakan peralihan rejim merentasi Order → Transition → Chaos. Ia menambah satu garis kedua, Trendness (DC), untuk membezakan tren sebenar daripada pengepaman volatiliti.
Bagaimana ia berfungsi:
- Menggunakan hanya komponen OHLCV: DC (konsistensi arah), FlipRate (pembalikan tanda), Volatility_n (ATR/ATRlong), VolumeTurb (sisihan piawai ΔVolume).
- Entropi mentah:
E0 = 0.5*(1-DC) + 0.3*(FlipRate*VolN) + 0.2*VolumeTurb). - Terma anti-pengepaman menurunkan E semasa pemampatan ATR → Entropi akhir ∈ [0..1] dengan pelicinan EMA.
- Penanda:
-
- CRYSTAL — melintasi di bawah LowThr (perintah muncul: tren atau pengepaman pra-pemecahan).
- DISSOLVE — melintasi di atas HighThr (perintah pecah: kekacauan/kemerosotan tren).
Apa yang anda lihat:
- Dalam panel: Entropi, Entropi(EMA), Trendness (DC), ambang Rendah/Tinggi, latar belakang zon.
- Pada carta (boleh dihidupkan/dimatikan): bar berwarna keadaan, pita nipis di atas paras tinggi, dan penanda CRYSTAL/DISSOLVE.
Panduan bacaan:
- E < LowThr → Perintah:
-
- dengan DC tinggi → tren yang tersusun;
- dengan ATR rendah → pengepaman (jangkaan pecahan).
- LowThr…HighThr → Peralihan: struktur terbentuk; tunggu penyelesaian.
- E > HighThr → Kekacauan: ketidakpastian / keletihan tren; elakkan kemasukan sambungan yang naif.
Buku panduan:
- Pengepaman → CRYSTAL → Pecah/Uji semula — dagangkan pecahan.
- Tren → DISSOLVE — keluarkan secara berperingkat atau ketatkan risiko.
Ringkasan
Ringkasan AI
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
487.63M
Volum yang didagangkan
65.25K
Pip dimenangi
16
Jualan
1.54K
Pemasangan percuma