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Pilihan Editor

EIB : ASCENDING TRIANGLE, PENGUMPULAN KEPADA PENGAMBILANRentetan carta menunjukkan bagaimana rutin trader beraksi dalam pasaran yang memberi kesan kepada pergerakan harga. Rutin ini membentuk fasa dan struktur harga yang berkait dengan masa dan tempat untuk membeli dan menjual iaitu mengumpul dan mengambil untung. Fasa pengumpulan tidak memberi wajah yang sebenar. Kerana ia berdikit. Retailer tidak akan tertarik. Fasa pengambilan seakan memberi keceriaan kepada trader. Kerana ia hijau berbukit. Retailer akan mula masuk. Smart money mula mengambil tempat. Pump n dumb. Ratailer menggigit. Fahami circle trading. PENAFIAN: CATATAN INI BUKANLAH BUY/SELL CALL, HANYA IDEA DAN ANALISIS KAJIAN UNTUK PENDIDIKAN. TAKE AT YOUR OWN RISK.
Pilihan Editor
belum ada aura bullish , jika lepasi R2 potensi lanjut ke utara?NOTE: ini bukan BUY CALL . ini memerlukan kajian bersama DAN tolong kaji ikut pemahaman masing-masing dan tidak bertanggungjawap sebarang kerugian. Penafian : Kajian diatas bertujuan untuk KITA bersama sama mengkaji dan bukanlah bertujuan untuk membeli atau menjual instrumen ini . Berdagang Diatas Risiko Sendiri #strong&loyal #ma100ma50ZZL&goldencross #4eDucationOnly #KISS #IMGC1W 1.di skala harian harga kekal ditutup di atas EMA100 & EMA200 (sila masukan indi ) 2.di carta juga kelihatan harga sekadar berlegar di dalam 'mother candle ' yang terbentuk pada 24/9 tahun lepas dan penutup minggu harga di tutup pula diatas 50% 'mother candle' tersebut yang bolehla di anggap ada sedikit 'kekuatan' .Pun begitu untuk konter ini menyerlah harus : ~ bo & kekal di 6.840 with strong volume ,aftifkan SL di 6.30. 3.di carta juga disertakan S&R gann untuk di jadikan sedikit panduan begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
Pilihan Editor
BSLCORP (BURSA)Pelan Pelaburan - Limit Belian - Entri: Garisan Putus-Putus Warna Biru Ambil Untung: Garisan Putus-Putus Warna Merah Target Keuntungan: Minimum 10% Target Kerugian: Maksimum 5% Nisbah Risiko dan Ganjaran: Lebih 1:2 Tip untuk membuat entri: Entri apabila terdapat pengesahan paten pembalikan arah semasa harga masuk ke dalam zon belian atau jualan bagi mengurangkan risiko rugi. Sekiranya tiada pengesahan pembalikan arah dan pasaran mengesahakan paten penerusan, maka entri berdasarkan trend ketika harga menguji semula zon tersebut. Berdagang Atas Risiko Anda Sendiri (BARAS)
Pilihan Editor
Panjang
Brent macam jumpa Support pada Garisan Uptrend1. Resistance R1 pada 83.50 dan R2 pada 86.50. 2. Support S1 pada 81.00 dan S2 pada 77.80. 3. Stoch berhapiran zon oversold. 4. Bollinger Band sedang mengecil. 5. Candle cuba bertahan pada GU2. 6. Garisan GU2 menjadi support yang kukuh sejak Dec 2022. 7. Jika candle dapat bertahan di atas GU2 maka boleh bertukar menjadi Bullish atau bergerak di sideway sementara. Sila LIKE jika bersetuju dengan idea saya sebagai sokongan. Disclaimer: Ini bukan BUY or SELL call, sila buat kajian sendiri sebelum ambil keputusan.
Pilihan Editor
Ramalan XAUUSD 3 FEB 2023 Analisis Fundamental dan TeknikalFaktor Asas 1) Saham meningkat pada hari Rabu akibat pelabur mengikuti kenyataan Powell bahawa usaha Fed mula mendapat tarikan dan kurang memberi perhatian kepada kenyataannya tentang kenaikan kadar tambahan. 2) Bank Pusat Eropah dan Bank England, dengan kedua-dua kos peminjaman yang dijangka meningkat sebanyak 50 mata asas semasa mereka cuba mengawal inflasi yang tinggi telah meneruskan peningkatannya sebanyak 50 mata asas. 3) Konflik Rusia-Ukraine adalah faktor utama untuk menentukan arah aliran harga emas pada masa hadapan dan ia masih menjadikan para pelabur melihat emas sebagai syurga yang selamat. Trendnya ialah Bullish Julat Asas : 1889.01 - 1937.46 Analisis Teknikal Semak di Sokongan dan Rintangan Rangka Masa Harian untuk Fibonacci. Semak berdasarkan masa semasa untuk Sokongan dan Rintangan apabila anda ingin berdagang. Kawasan Rintangan : 1947.25,1958.68,1977.19 Kawasan Sokongan : 1910.23,1898.80.1880.29 Titik pangsi : 1928.74 Sahkan dengan penunjuk teknikal dan berdasarkan analisis teknikal anda sendiri untuk arah aliran. Semak investing.com untuk mendapatkan maklumat lanjut tentang perkara yang akan dipaparkan oleh kebanyakan penunjuk Semak tempoh masa yang lebih tinggi juga untuk pengesahan lanjut untuk kemasukan dalam jangka masa Harian. Paparan penunjuk teknikal menjual dalam Harian dan belian kukuh dalam mingguan dan belian kukuh dalam jangka masa bulanan. Gunakan regresi linear untuk mendapatkan aliran pengesahan setiap hari kerana ia tidak tersedia . Regresi linear menunjukkan aliran menaik pada jangka masa harian .Boleh menyemak aliran regresi linear dalam mingguan dan bulanan untuk pengesahan lanjut. Untuk mingguan, ia adalah aliran menurun dan untuk bulanan, ia menunjukkan aliran menaik. Gunakan Bolinger Band Strategy Tester dan RSI Strategy Tester untuk mendapatkan lebih banyak pengesahan untuk arah aliran dan peratusan yang menguntungkan. Semak pada jangka masa yang lebih besar juga seperti mingguan dan bulanan. Pastikan kedua-dua strategi RSI dan Bolinger Band Strategy memberikan melebihi 50%. untuk peratusan yang menguntungkan Penguji strategi RSI dan Penguji Strategi Bolinger Band pada harian dan mingguan mempunyai peratusan lebih tinggi daripada 50% , dan bulanan mempunyai kurang daripada 50% untuk Penguji strategi RSI dan Penguji Strategi Bolinger Band. Cari beli pada carta harian dengan menggunakan titik sokongan 1, 1910.23 dan ambil untung akan berada pada titik pangsi , 1928.74 (LIHAT HARGA PASARAN SEMASA) Lihat pasaran semasa dan cari titik sokongan terdekat untuk kemasukan dan ambil untung pada titik pangsi. Analisis fundamental dan teknikal mesti diselaraskan
Pilihan Editor
HIAPTEK - Masih mendaki selepas BOKomen : 1) TrendX+ - masih bergerak di atas garis arah aliran jangka pertengahan berwarna hijau. 2) DDX+ - bergerak di atas trend-cross berwarna hijau dan juga paksi sifar. 3) MCDX+ - bar banker (merah) semakin maningkat manakala bar pelabur runcit(turquoise) hilang sejak BO pertama kali garisan leher A. 4) Bulatan menunjukkan aktiviti volum yang lebih tinggi. Sokongan & Rintangan : R : 0.410 S : Garisan Leher B PENAFIAN : Analisis di atas SEMATA-MATA untuk tujuan kajian kes, bukan NASIHAT PAKAR SAHAM. Analisis ini tidak memberikan sebarang nasihat dagangan dan beli atau jual. Dagangan saham di atas risiko anda sendiri. Menjalankan dagangan saham hanya selepas anda memahami dan menerima risiko yang terlibat.
Pilihan Editor
jiankun-tidak mempertahankan benda yang tidak pasti...NOTE: ini bukan BUY CALL . ini memerlukan kajian bersama DAN tolong kaji ikut pemahaman masing-masing dan tidak bertanggungjawap sebarang kerugian. Penafian : Kajian diatas bertujuan untuk KITA bersama sama mengkaji dan bukanlah bertujuan untuk membeli atau menjual instrumen ini . Berdagang Diatas Risiko Sendiri #strong&loyal #ma100ma50ZZL&goldencross #4eDucationOnly #KISS 1.di skala mingguan harga terus kekal di tutup di bawah MA 200 (sila masukan indi ) 2.di carta juga tampaknya membuat 3 puncak menurun & adakah sudah membuat 'kesempurnaan' untuk corak ini ? 3.harga juga di lihat membuat accumulation hampir setahun . 4.untuk struktur ini kelihatan HL di UTL diikuti doji di area tersebut . Adakah akan tidak akan kebawah lagi ? (boleh je harga terus turun kebawah jika dia nak ) 5.apa yang paling kita sebagai pedagang harus membuat kajian sendiri .Kami hanya boleh 'keluarkan' idea dan tidak semestinya tepat. 6.di carta juga disertakan S&R gann untuk di jadikan sedikit panduan. begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
Pilihan Editor
leeskKami percaya bahawa prestasi Kumpulan telah bertambah baik tahun ini, terutamanya disebabkan oleh jualan tilam yang lebih tinggi yang diedarkan melalui Cuckoo dan tidak lagi merekodkan kerugian rosot nilai. Dengan musim cuti penghujung tahun, jualan kumpulan itu dipercayai boleh terus meningkat. Kami menjangkakan jualan tilam Cuckoo meningkat daripada kira-kira 1,2000 tahun ini kepada 2,3500 tahun depan, yang boleh membawa RM<> juta kepada kumpulan itu. Dan harga lateks semulajadi jatuh, yang juga mengurangkan kos overhed kumpulan. Walaupun kami sentiasa berhati-hati bahawa inflasi global boleh menjejaskan sentimen pengguna, kami mengekalkan prospek pendapatan kami untuk Kumpulan setakat ini. Harga sasaran ialah 83 sen dan ratingnya ialah "Beli".
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Aliran berita

Teruskan membacaTeruskan membaca

Arah aliran komuniti

MY E.G. SERVICES BHDMYEG
IRIS CORPORATION BHDIRIS
PT RESOURCES HOLDINGS BERHADPTRB
WONG ENGINEERING CORPORATIONWONG
MALAYSIA STEEL WORKS (KL)BHDMASTEEL
HENG HUAT RESOURCES GROUP BHDHHGROUP
E.A.TECHNIQUE (M) BERHADEATECH
SFP TECH HOLDINGS BERHADSFPTECH
KEIN HING INTERNATIONAL BHDKEINHIN
KUMPULAN JETSON BHDJETSON

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Kaunter rugi

Kripto

Kedudukan berasaskan permodalan pasaran

SimbolPermodalan PasaranHarga & perubahan 1H

DeFi berasaskan permodalan pasaran

SimbolPermodalan PasaranHarga & perubahan 1H

Komuniti

Idea dagangan

FCPO : 1H RANGING TRADE, MONITOR KEY LEVEL JARAK DEKAT SAHAJASelepas membuat bearish pada minggu lepas, sesi terkini ada sedikit pembalikan namun ia masih belum kukuh dimana harga masih dibawah eksponen 50 bagi 4H. Untuk masa terdekat, lebih kepada ranging mood. Untuk itu, observe key level berdasarkan pivot weekly, dan supply demand. Harga semasa( Isnin malam) berada di area pivot, dan range semasa hanya antara R1 dan S2 fibo level weekly. PENAFIAN: CATATAN INI BUKANLAH BUY/SELL CALL, HANYA IDEA DAN ANALISIS KAJIAN UNTUK PENDIDIKAN. TAKE AT YOUR OWN RISK.
1
Ramalan XAUUSD 3 FEB 2023 Analisis Fundamental dan TeknikalFaktor Asas 1) Saham meningkat pada hari Rabu akibat pelabur mengikuti kenyataan Powell bahawa usaha Fed mula mendapat tarikan dan kurang memberi perhatian kepada kenyataannya tentang kenaikan kadar tambahan. 2) Bank Pusat Eropah dan Bank England, dengan kedua-dua kos peminjaman yang dijangka meningkat sebanyak 50 mata asas semasa mereka cuba mengawal inflasi yang tinggi telah meneruskan peningkatannya sebanyak 50 mata asas. 3) Konflik Rusia-Ukraine adalah faktor utama untuk menentukan arah aliran harga emas pada masa hadapan dan ia masih menjadikan para pelabur melihat emas sebagai syurga yang selamat. Trendnya ialah Bullish Julat Asas : 1889.01 - 1937.46 Analisis Teknikal Semak di Sokongan dan Rintangan Rangka Masa Harian untuk Fibonacci. Semak berdasarkan masa semasa untuk Sokongan dan Rintangan apabila anda ingin berdagang. Kawasan Rintangan : 1947.25,1958.68,1977.19 Kawasan Sokongan : 1910.23,1898.80.1880.29 Titik pangsi : 1928.74 Sahkan dengan penunjuk teknikal dan berdasarkan analisis teknikal anda sendiri untuk arah aliran. Semak investing.com untuk mendapatkan maklumat lanjut tentang perkara yang akan dipaparkan oleh kebanyakan penunjuk Semak tempoh masa yang lebih tinggi juga untuk pengesahan lanjut untuk kemasukan dalam jangka masa Harian. Paparan penunjuk teknikal menjual dalam Harian dan belian kukuh dalam mingguan dan belian kukuh dalam jangka masa bulanan. Gunakan regresi linear untuk mendapatkan aliran pengesahan setiap hari kerana ia tidak tersedia . Regresi linear menunjukkan aliran menaik pada jangka masa harian .Boleh menyemak aliran regresi linear dalam mingguan dan bulanan untuk pengesahan lanjut. Untuk mingguan, ia adalah aliran menurun dan untuk bulanan, ia menunjukkan aliran menaik. Gunakan Bolinger Band Strategy Tester dan RSI Strategy Tester untuk mendapatkan lebih banyak pengesahan untuk arah aliran dan peratusan yang menguntungkan. Semak pada jangka masa yang lebih besar juga seperti mingguan dan bulanan. Pastikan kedua-dua strategi RSI dan Bolinger Band Strategy memberikan melebihi 50%. untuk peratusan yang menguntungkan Penguji strategi RSI dan Penguji Strategi Bolinger Band pada harian dan mingguan mempunyai peratusan lebih tinggi daripada 50% , dan bulanan mempunyai kurang daripada 50% untuk Penguji strategi RSI dan Penguji Strategi Bolinger Band. Cari beli pada carta harian dengan menggunakan titik sokongan 1, 1910.23 dan ambil untung akan berada pada titik pangsi , 1928.74 (LIHAT HARGA PASARAN SEMASA) Lihat pasaran semasa dan cari titik sokongan terdekat untuk kemasukan dan ambil untung pada titik pangsi. Analisis fundamental dan teknikal mesti diselaraskan
Pilihan Editor
Masteel dilihat seperti membuat corak "bullish pennant"Kaunter: Masteel Sektor: Besi Tempoh masa harian dilihat masteel seperti membuat corak pennat namun harga perlu Bo 385 dengan kehadiran volum belian yang tinggi untuk membuat pengesahan corat menaik/pembalikan ke atas. Sebaik-baik lilin corak "bullish morubozu" berlaku di carta harian. Di tempoh masa 15minit tampak pembetukan bullish divergerce di mana harga bergerak secara sideways tetapi oscilator bergerak ke atas. Namun seperti dinyatakan tadi harga perlu bergerak melepasi rintangan berserta minat belian yang padu (volum masuk). Perlu ada pengesahan kemasukan dengan pengesahan lilin bullish yang kuat sebagai contoh "bullish morubozu" atau "bullish engulfing" ketika harga memecah rintangan. Sasaran harga adalah seperti yang dilukiskan di carta. Sekadar kajian bagi tujuan pembelajran semata-mata. Kaji risko terlebih dahlu sebelum memasuki sesuatu kaunter. kanal pasti snr. Keluar sesuatu kaunter sekiranya harga sokongan telah bocor.Beli jual sesuatu saham adalah tanggungjawab anda. #tayor
Pilihan Editor
Brent macam jumpa Support pada Garisan Uptrend1. Resistance R1 pada 83.50 dan R2 pada 86.50. 2. Support S1 pada 81.00 dan S2 pada 77.80. 3. Stoch berhapiran zon oversold. 4. Bollinger Band sedang mengecil. 5. Candle cuba bertahan pada GU2. 6. Garisan GU2 menjadi support yang kukuh sejak Dec 2022. 7. Jika candle dapat bertahan di atas GU2 maka boleh bertukar menjadi Bullish atau bergerak di sideway sementara. Sila LIKE jika bersetuju dengan idea saya sebagai sokongan. Disclaimer: Ini bukan BUY or SELL call, sila buat kajian sendiri sebelum ambil keputusan.
Pilihan Editor
jiankun-tidak mempertahankan benda yang tidak pasti...NOTE: ini bukan BUY CALL . ini memerlukan kajian bersama DAN tolong kaji ikut pemahaman masing-masing dan tidak bertanggungjawap sebarang kerugian. Penafian : Kajian diatas bertujuan untuk KITA bersama sama mengkaji dan bukanlah bertujuan untuk membeli atau menjual instrumen ini . Berdagang Diatas Risiko Sendiri #strong&loyal #ma100ma50ZZL&goldencross #4eDucationOnly #KISS 1.di skala mingguan harga terus kekal di tutup di bawah MA 200 (sila masukan indi ) 2.di carta juga tampaknya membuat 3 puncak menurun & adakah sudah membuat 'kesempurnaan' untuk corak ini ? 3.harga juga di lihat membuat accumulation hampir setahun . 4.untuk struktur ini kelihatan HL di UTL diikuti doji di area tersebut . Adakah akan tidak akan kebawah lagi ? (boleh je harga terus turun kebawah jika dia nak ) 5.apa yang paling kita sebagai pedagang harus membuat kajian sendiri .Kami hanya boleh 'keluarkan' idea dan tidak semestinya tepat. 6.di carta juga disertakan S&R gann untuk di jadikan sedikit panduan. begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
Pilihan Editor
3A Bakal meroketThree-A Resources Berhad (3A) berada diantara garisan sokongan dan rintangan menaik (saluran selari). harga terkini masih menguji kawasan rintangan setelah gagal merentasi garisan sokongan menaik. harga berkemungkinan bakal menguji garisan rintangan menaik sekiranya mampu melepasi dan bertahan di atas kawasan rintangan. Three-A Resources Berhad (3A) diasaskan oleh Encik Fang Chew Ham. Syarikat itu membekalkan, terutamanya, warna karamel kepada pengeluar kicap kecil di negara ini. Semua produk yang dikeluarkan oleh anak syarikat tersebut telah disahkan sebagai HALAL oleh Jabatan Kemajuan Islam Malaysia. Three-A Resources Berhad (3A) mencatatkan hasil yang baik pada Q3 Sep 22 sebanyak RM173,082,000 berbanding Q2 Jun 22 RM165,167,000 mencatatkan perbezaan sebanyak RM7,915,000. Namun Keuntungan bersih Q3 Sep 22 RM 8,000,000 berkurang jika dibandingkan dengan Q2 Jun 22 RM10,839,000 mencatat perbezaan sebanyak RM2,839,000. Pemegang saham utama bagi Three-A Resources Berhad (3A) terdiri daripada FANG CHEW HAM HOLDINGS SDN BHD 20.55% sebanyak 100,750,000 unit saham yang bernialai 95.71M, diikuti WILMAR INTERNATIONAL LIMITED 15.71% sebagai pemegang saham kedua terbesar sebanyak 77,000,000 unit saham dengan nilai sebanyak 73.15M. corak carta : saluran selari Nota : menerbit kan idea ini ada semata mata bertujuan sebagai perkongsian pemahaman dan pembelajaran. Sekiranya ingin memiliki saham ini, hendaklah membuat kajian yang lebih mendalam dan merujuk kepada pihak yang lebih pakar sebelum membeli saham.
Pilihan Editor
Panjang
TSLA: Mampukah Membuat Kenaikan?Saham syarikat Tesla dilihat bergerak mendatar sejak beberapa minggu dagangan yang lalu Jika diperhatikan, pergerakan harga seakan membentuk corak carta cawan dan pemegang Kedudukan terkini harga juga dilihat masih lagi bertahan di atas MA50 mingguan RSI mingguan dan harian kedua-duanya dilihat berada di atas paras pertengahan Walaubagaimanapun selagimana harga belum memecahkan rintangan, masih terlalu awal untuk membuat kesimpulan Menarik untuk diperhatikan sekiranya harga memecahkan corak carta dengan volum Ke manakah halatuju harga seterusnya? Sama-sama kita perhatikan Penafian: *Ini bukanlah saranan belian mahupun jualan sebaliknya hanyalah kajian semata-mata. Trade At Your Own Risk (TAYOR) *Penulis tidak bertanggungjawab atas segala keuntungan mahupun kerugian yang diraih mana-mana pihak atau entiti *Jangan lupa ketik butang suka sekiranya kajian ini membantu anda. Terima Kasih!
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Skrip Pine

Machine Learning: Lorentzian Classification█ OVERVIEW A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of an Approximate Nearest Neighbors (ANN) algorithm. █ BACKGROUND In physics, Lorentzian space is perhaps best known for its role in describing the curvature of space-time in Einstein's theory of General Relativity (2). Interestingly, however, this abstract concept from theoretical physics also has tangible real-world applications in trading. Recently, it was hypothesized that Lorentzian space was also well-suited for analyzing time-series data (4), (5). This hypothesis has been supported by several empirical studies that demonstrate that Lorentzian distance is more robust to outliers and noise than the more commonly used Euclidean distance (1), (3), (6). Furthermore, Lorentzian distance was also shown to outperform dozens of other highly regarded distance metrics, including Manhattan distance, Bhattacharyya similarity, and Cosine similarity (1), (3). Outside of Dynamic Time Warping based approaches, which are unfortunately too computationally intensive for PineScript at this time, the Lorentzian Distance metric consistently scores the highest mean accuracy over a wide variety of time series data sets (1). Euclidean distance is commonly used as the default distance metric for NN-based search algorithms, but it may not always be the best choice when dealing with financial market data. This is because financial market data can be significantly impacted by proximity to major world events such as FOMC Meetings and Black Swan events. This event-based distortion of market data can be framed as similar to the gravitational warping caused by a massive object on the space-time continuum. For financial markets, the analogous continuum that experiences warping can be referred to as "price-time". Below is a side-by-side comparison of how neighborhoods of similar historical points appear in three-dimensional Euclidean Space and Lorentzian Space: This figure demonstrates how Lorentzian space can better accommodate the warping of price-time since the Lorentzian distance function compresses the Euclidean neighborhood in such a way that the new neighborhood distribution in Lorentzian space tends to cluster around each of the major feature axes in addition to the origin itself. This means that, even though some nearest neighbors will be the same regardless of the distance metric used, Lorentzian space will also allow for the consideration of historical points that would otherwise never be considered with a Euclidean distance metric. Intuitively, the advantage inherent in the Lorentzian distance metric makes sense. For example, it is logical that the price action that occurs in the hours after Chairman Powell finishes delivering a speech would resemble at least some of the previous times when he finished delivering a speech. This may be true regardless of other factors, such as whether or not the market was overbought or oversold at the time or if the macro conditions were more bullish or bearish overall. These historical reference points are extremely valuable for predictive models, yet the Euclidean distance metric would miss these neighbors entirely, often in favor of irrelevant data points from the day before the event. By using Lorentzian distance as a metric, the ML model is instead able to consider the warping of price-time caused by the event and, ultimately, transcend the temporal bias imposed on it by the time series. For more information on the implementation details of the Approximate Nearest Neighbors (ANN) algorithm used in this indicator, please refer to the detailed comments in the source code. █ HOW TO USE Below is an explanatory breakdown of the different parts of this indicator as it appears in the interface: Below is an explanation of the different settings for this indicator: General Settings: Source - This has a default value of "hlc3" and is used to control the input data source. Neighbors Count - This has a default value of 8, a minimum value of 1, a maximum value of 100, and a step of 1. It is used to control the number of neighbors to consider. Max Bars Back - This has a default value of 2000. Feature Count - This has a default value of 5, a minimum value of 2, and a maximum value of 5. It controls the number of features to use for ML predictions. Color Compression - This has a default value of 1, a minimum value of 1, and a maximum value of 10. It is used to control the compression factor for adjusting the intensity of the color scale. Show Exits - This has a default value of false. It controls whether to show the exit threshold on the chart. Use Dynamic Exits - This has a default value of false. It is used to control whether to attempt to let profits ride by dynamically adjusting the exit threshold based on kernel regression. Feature Engineering Settings: Note: The Feature Engineering section is for fine-tuning the features used for ML predictions. The default values are optimized for the 4H to 12H timeframes for most charts, but they should also work reasonably well for other timeframes. By default, the model can support features that accept two parameters (Parameter A and Parameter B, respectively). Even though there are only 4 features provided by default, the same feature with different settings counts as two separate features. If the feature only accepts one parameter, then the second parameter will default to EMA-based smoothing with a default value of 1. These features represent the most effective combination I have encountered in my testing, but additional features may be added as additional options in the future. Feature 1 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Feature 2 - This has a default value of "WT" and options are: "RSI", "WT", "CCI", "ADX". Feature 3 - This has a default value of "CCI" and options are: "RSI", "WT", "CCI", "ADX". Feature 4 - This has a default value of "ADX" and options are: "RSI", "WT", "CCI", "ADX". Feature 5 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Filters Settings: Use Volatility Filter - This has a default value of true. It is used to control whether to use the volatility filter. Use Regime Filter - This has a default value of true. It is used to control whether to use the trend detection filter. Use ADX Filter - This has a default value of false. It is used to control whether to use the ADX filter. Regime Threshold - This has a default value of -0.1, a minimum value of -10, a maximum value of 10, and a step of 0.1. It is used to control the Regime Detection filter for detecting Trending/Ranging markets. ADX Threshold - This has a default value of 20, a minimum value of 0, a maximum value of 100, and a step of 1. It is used to control the threshold for detecting Trending/Ranging markets. Kernel Regression Settings: Trade with Kernel - This has a default value of true. It is used to control whether to trade with the kernel. Show Kernel Estimate - This has a default value of true. It is used to control whether to show the kernel estimate. Lookback Window - This has a default value of 8 and a minimum value of 3. It is used to control the number of bars used for the estimation. Recommended range: 3-50 Relative Weighting - This has a default value of 8 and a step size of 0.25. It is used to control the relative weighting of time frames. Recommended range: 0.25-25 Start Regression at Bar - This has a default value of 25. It is used to control the bar index on which to start regression. Recommended range: 0-25 Display Settings: Show Bar Colors - This has a default value of true. It is used to control whether to show the bar colors. Show Bar Prediction Values - This has a default value of true. It controls whether to show the ML model's evaluation of each bar as an integer. Use ATR Offset - This has a default value of false. It controls whether to use the ATR offset instead of the bar prediction offset. Bar Prediction Offset - This has a default value of 0 and a minimum value of 0. It is used to control the offset of the bar predictions as a percentage from the bar high or close. Backtesting Settings: Show Backtest Results - This has a default value of true. It is used to control whether to display the win rate of the given configuration. █ WORKS CITED (1) R. Giusti and G. E. A. P. A. Batista, "An Empirical Comparison of Dissimilarity Measures for Time Series Classification," 2013 Brazilian Conference on Intelligent Systems, Oct. 2013, DOI: 10.1109/bracis.2013.22. (2) Y. Kerimbekov, H. Ş. Bilge, and H. H. Uğurlu, "The use of Lorentzian distance metric in classification problems," Pattern Recognition Letters, vol. 84, 170–176, Dec. 2016, DOI: 10.1016/j.patrec.2016.09.006. (3) A. Bagnall, A. Bostrom, J. Large, and J. Lines, "The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms." ResearchGate, Feb. 04, 2016. (4) H. Ş. Bilge, Yerzhan Kerimbekov, and Hasan Hüseyin Uğurlu, "A new classification method by using Lorentzian distance metric," ResearchGate, Sep. 02, 2015. (5) Y. Kerimbekov and H. Şakir Bilge, "Lorentzian Distance Classifier for Multiple Features," Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017, DOI: 10.5220/0006197004930501. (6) V. Surya Prasath et al., "Effects of Distance Measure Choice on KNN Classifier Performance - A Review." . █ ACKNOWLEDGEMENTS @veryfid - For many invaluable insights, discussions, and advice that helped to shape this project. @capissimo - For open sourcing his interesting ideas regarding various KNN implementations in PineScript, several of which helped inspire my original undertaking of this project. @RikkiTavi - For many invaluable physics-related conversations and for his helping me develop a mechanism for visualizing various distance algorithms in 3D using JavaScript @jlaurel - For invaluable literature recommendations that helped me to understand the underlying subject matter of this project. @annutara - For help in beta-testing this indicator and for sharing many helpful ideas and insights early on in its development. @jasontaylor7 - For helping to beta-test this indicator and for many helpful conversations that helped to shape my backtesting workflow @meddymarkusvanhala - For helping to beta-test this indicator @dlbnext - For incredibly detailed backtesting testing of this indicator and for sharing numerous ideas on how the user experience could be improved.
Pilihan Editor
Penunjuk Skrip Pine™
143
Smart Money Concepts [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category. "Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action. The indicator includes alerts for the presence of swing structures and many other relevant conditions. Features This indicator includes many features relevant to SMC, these are highlighted below: Full internal & swing market structure labeling in real-time Break of Structure (BOS) Change of Character (CHoCH) Order Blocks (bullish & bearish) Equal Highs & Lows Fair Value Gap Detection Previous Highs & Lows Premium & Discount Zones as a range Options to style the indicator to more easily display these concepts Settings Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart. Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome. Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart. Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH). Confluence Filter: Filter non-significant internal structure breakouts. Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels). Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL. Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart. Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart. Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows. Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart. Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart. Auto Threshold: Filter out non-significant fair value gaps. Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection. Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart. Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels. Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart Usage Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals. In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart. Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above. As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels. The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator. Conclusion This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
Penunjuk Skrip Pine™
435
Hurst Diamond Notation PivotsThis is a fairly simple indicator for diamond notation of past hi/lo pivot points, a common method in Hurst analysis. The diamonds mark the troughs/peaks of each cycle. They are offset by their lookback and thus will not 'paint' until after they happen so anticipate accordingly. Practically, traders can use the average length of past pivot periods to forecast future pivot periods in time🔮. For example, if the average/dominant number of bars in an 80-bar pivot point period/cycle is 76, then a trader might forecast that the next pivot could occur 76-ish bars after the last confirmed pivot. The numbers/labels on the y-axis display the cycle length used for pivot detection. This indicator doesn't repaint, but it has a lot of lag; Please use it for forecasting instead of entry signals. This indicator scans for new pivots in the form of a rainbow line and circle; once the hi/lo has happened and the lookback has passed then the pivot will be plotted. The rainbow color per wavelength theme seems to be authentic to Hurst (or modern Hurst software) and has been included as a default.
Pilihan Editor
Penunjuk Skrip Pine™
40
CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
Pilihan Editor
Penunjuk Skrip Pine™
16
Fair value bands (Dynamic risk levels, fair value metrics)— Overview Fair value bands, like other band tools, depict dynamic points in price where price behaviour is normal or abnormal, i.e. trading at/around mean (price at fair value) or deviating from mean (price outside fair value). Unlike constantly readjusting standard deviation based bands, fair value bands are designed to be smooth and constant, based on typical historical deviations. The script calculates pivots that take place above/below fair value basis and forms median deviation bands based on this information. These points are then multiplied up to 3, representing more extreme deviations. By default, the script uses OHLC4 and SMA 20 as basis for the bands. Users can form their preferred fair value basis using following options: Price source - Standard OHLC values - HL2 (High + low / 2) - OHLC4 (Open + high + low + close / 4) - HLC3 (High + low + close / 3) - HLCC4 (High + low + close + close / 4) Smoothing - SMA - EMA - HMA - RMA - WMA - VWMA - Median Once fair value basis is established, some additional customization options can be employed: Trend mode Direction based Cross based Trend modes affect fair value basis color that indicates trend direction. Direction based trend considers only the direction of the defined fair value basis, i.e. pointing up is considered an uptrend, vice versa for downtrend. Cross based trends activate when selected source (same options as price source) crosses fair value basis. These sources can be set individually for uptrend/downtrend cross conditions. By default, the script uses cross based trend mode with low and high as sources. Cross based (downtrend not triggered) vs. direction based (downtrend triggered): Threshold band Threshold band is calculated using typical deviations when price is trading at fair value basis. In other words, a little bit of "wiggle room" is added around the mean based on expected deviation. This feature is useful for cross based trends, as it allows filtering insignificant crosses that are more likely just noise. By default, threshold band is calculated based on 1x median deviation from mean. Users can increase/decrease threshold band width via input menu for more/less noise filtering, e.g. 2x threshold band width would require price to cross wiggle room that is 2x wider than typical, 0x erases threshold band altogether. Deviation bands Width of deviation bands by default is based on 1x median deviations and can be increased/decreased in a similar manner to threshold bands. Each combination of customization options produces varying behaviour in the bands. To measure the behaviour and finding fairest representation of fair and unfair value, some data is gathered. — Fair value metrics Space between each band is considered a lot, named +3, +2, +1, -1, -2, -3. For each lot, time spent and volume relative to volume moving average (SMA 20) is recorded each time price is trading in a given lot: Depending on the asset, timeframe and chosen fair value basis, shape of the distributions vary. However, practically always time is distributed in a normal bell curve shape, being highest at lots +1 to -1, gradually decreasing the further price is from the mean. This is hardly surprising, but it allows accurately determining dynamic areas of normal and abnormal price behaviour (i.e. low risk area between +1 and -1, high risk area between +-2 to +-3). Volume on the other hand is typically distributed the other way around, being lowest at lots +1 to -1 and highest at +-2 to +-3. When time and volume are distributed like so, we can conclude that 1) price being outside fair value is a rare event and 2) the more price is outside fair value, the more anomaly behaviour in volume we tend to find. Viewing metric calculations Metric calculation highlights can be enabled from the input menu, resulting in a lot based coloring and visibility of each lot counter (time, cumulative relative volume and average relative volume) in data window: — Alerts Available alerts are the following: Individual - High crossing deviation band (bands +1 to +3 ) - Low crossing deviation band (bands -1 to -3 ) - Low at threshold band in an uptrend - High at threshold band in a downtrend - New uptrend - New downtrend Grouped - New uptrend or downtrend - Deviation band cross (+1 or -1) - Deviation band cross (+2 or -2) - Deviation band cross (+3 or -3) — Practical guide Example #1 : Risk on/risk off trend following Ideal trend stays inside fair value and provides sufficient cool offs between the moves. When this is the case, fair value bands can be used for sensible entry/exit levels within the trend. Example #2 : Mean reversions When price shows exuberance into an extreme deviation, followed by a stall and signs of exhaustion (wicks), an opportunity for mean reversion emerges. The higher the deviation, the more volatility in the move, the more signalling of exhaustion, the better. Example #3 : Tweaking bands for desired behaviour The faster the length of fair value basis, the more momentum price needs to hit extreme deviation levels, as bands too are moving faster alongside price. Decreasing fair value basis length typically leads to more quick and aggressive deviations and less steady trends outside fair value.
Pilihan Editor
Penunjuk Skrip Pine™
18
Harmonic Patterns Based Trend FollowerEarlier this week, published an idea on how harmonic patterns can be used for trend following. This script is an attempt to implement the same. 🎲 Process 🎯 Derive Zigzag and scan harmonic patterns for last 5 confirmed pivots 🎯 If a pattern is found, highest point of pattern will become the bullish zone and lower point of the pattern will become bearish zone. 🎯 Since it is trend following method, when price reaches bullish zone, then the trend is considered as bullish and when price reaches bearish zone, the trend is considered as bearish. 🎯 If price does not touch both regions, then trend remains unchanged. 🎯 Bullish and bearish zone will change as and when new patterns are formed. 🎲 Note Patterns are not created on latest pivot as last pivot will be unconfirmed and moving. Due to this, patterns appear after certain delay - patterns will not be real time. But, this is expected and does not impact the overall process. When new pattern formed When price breaks over the zones 🎲 Output 🎯 Patterns formed are drawn in blue coloured lines. Due to pine limitation of max 500 lines, older patterns automatically get deleted when new ones come. 🎯 Bullish Zone and Bearish Zone are plotted in green and red colours and the zone will change whenever new pattern comes along. 🎯 Bar colors are changed according to calculated trend. Trend value can be 1 or -1 based on the current trend. You can also find the value in data window. 🎯 For simplicity purpose, input option for selection of specific patterns are not provided and also pattern names are not displayed on the chart.
Pilihan Editor
Penunjuk Skrip Pine™
32
[@btc_charlie] Trader XO Macro Trend ScannerWhat is this script? This script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI. EMAs EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA). This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader. RSI Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend. If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength. Combination The EMAs indicate when trend shifts (bullish or bearish). The RSI indicates when the trend is losing momentum. The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal. Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to Why is it different to others? I have not found other scripts that are available in this way visually including alerts when Stoch RSI crosses over/under the extremes; or the mid points. Whilst these indicators are default, the combination of them and how they are presented is not and makes use of the TradingView colouring functionalities. What are the features? Customise the variables (averages) used in the script. Display as one EMA or two EMAs (the crossing ones). Alerts on EMA crosses. Alerts on Stoch RSI crosses - slow/fast, upper, lower areas. - Currently set on the chart to show alerts when Stoch RSI is above 80, then falls below 80 (and colours it red). Customisable colours. What are the best conditions for this? It is designed for high timeframe charts and analysis in crypto, since crypto tends to trend. It can however be used for lower timeframes. Disclaimer/Notes: I have noticed several videos appearing suggesting that this is a "100% win rate indicator" . NO indicator has 100% win rate. An indicator is an *indicator* that is all. Please use responsibly and let me know if there are any mods or updates you would like to see.
Penunjuk Skrip Pine™
7
True Trend Average BandsThis is the indicator I am most proud of. After reading Glenn Neely's book "Mastering Eliott Waves" / "Neowave" and chatting with @timwest who got acknowledged by Neely, we came up with the idea of an moving average which does calculate the real average price since a trend started. Addionally I adapted a method from Neely Neowave and Tim Wests TimeAtMode to not force a timeframe on a chart but instead let the charts data decide which timeframe to use, to then calculate the real average price since the trend started. It took me a while to get this right and coded, so take a moment and dive deeper and you might learn something new. We assume that the price is in multiple trends on multiple timeframes, this is caused by short term traders, long term traders and investors who trade on different timeframes. To find out in which timeframe the important trends are, we have to look out for significant lows and highs. Then we change the timeframe in the chart to a value so that we have 10 to 20 bars since the significant low/high. While new bars are printed, and we reach more than 20 bars, we have to switch to a higher timeframe so we have 10 to 20 bars again. In the chart you see two significant trends: a downtrend on the 3 week timeframe and an uptrend from the 2 month timeframe. Based on the logic I have described, these are the two important timeframes to watch right now for the spx (there is another uptrend in the yearly chart, which is not shown here). Now that we understand how to find the important timeframes, let's look what the magic in this script is that tells us the real average price since a trend started. I developed a new type of moving average, which includes only the prices since a trend started. The difference to the regular sma is that it will not include prices which happened before the significant low or high happened. For example, if a top happened in a market 10 days ago, the regular sma20 would be calculated by 10 bars which happened before the top and 10 bars which happened after the top. If we want to know the average price of the last 10 bars we manually have to change the ma20 to the ma10 which is annoying manual work, additionally even if we use the ma10 in this case, and we look at yesterday's bar the ma10 will include 9 bars from after the top and one bar before the top, so the ma10 would only show the real average price for the current bar which is not what we want. To come up with a solution to this problem, the True Trend Average searches for the lowest/highest bar in a given period (20 bars). Then starts to calculate the average value since the low/high. For example: if the price reaches a new 20 day high and then trades below it, the day of the high will be the sma1, the day after it's the sma2, ... up to the maximum look back length. This way, we always know what the average price would have been if someone sold/bought a little bit every bar of his investment since the high/low. Why is this even important? Let's assume we missed selling the top or buying the low, and think it would have been at least better to buy/sell a little bit since the new trend started. Once the price reaches the true trend average again, we can buy/sell, and it would be as good as selling/buying a little bit every day. We find prices to buy the dip and sell the bounce, which are as good as scaling in/out. There is a lot more we can learn from these price levels but I think it is better to let you figure out yourself what you can learn from the information given by this indicator. Think about how market participants who accumulate or distribute feel when prices are above or below certain levels. Now that we understand this new type of moving average, let's look into the lines we see in the chart: The upper red band line shows the true trend average high price since the last significant top within 20 bars. The lower red band line shows the true trend average hl2 price since the last significant top within 20 bars. The lower green band line shows the true trend average low price since the last significant low within 20 bars. The upper green band line shows the true trend average hl2 price since the last significant low within 20 bars. The centerline is the average between the upper red band and the lower green band. The teal lines show 1 standard deviation from the outer bands. Before today only a few people had access to this indicator, now that it is public and open source, I am curious if you will find it useful and what you will do with it. Please share your findings. /edit: The chart only shows the 3week timeframe so here are the other two trends from the 2month and 1year timeframe
Penunjuk Skrip Pine™
13
NET BSP NET BSP derived from Buying & Selling Pressure which is a volatility indicator that monitors average metrics of green and red candles separately. We could navigate more confidently through market with projected market balance. BSP allowed us to track and analyze the ongoing performance of bullish and bearish impulsive waves and their corrections. Due to unintuitive way of measuring decline with SP going up, I decided to remake it into more intuitive version with better precision. When we encounter the fall it's better to have declining values of tool to be able to cover it visually with ease. One of the solutions was to create a sense of balance of Buying Pressure against Selling Pressure. Since we are oriented by growth, it'd be more logical to summarize the market balance with BP - SP Comparison: When Buying and Selling Pressure are equal, NET BSP would be at 0. NETBSP > 0 and NETBSP > NETBSP = 🟢 NETBSP > 0 and NETBSP < NETBSP = 🟡 NETBSP < 0 and NETBSP < NETBSP = 🔴 NETBSP < 0 and NETBSP > NETBSP = 🟡 Hence, we get visualized stages of uptrends and downtrends which allows to evaluate chances and estimations of upcoming counter-waves. Also, it is worth to note that output clearly shows how one wave is derived from another in terms of sizing. Feel free to adjust NET BSP arguments to adapt sensitivity to the timeframe you're working on.
Penunjuk Skrip Pine™
20
Pivot and Price DiscoveryA Population Sampled linear regression model that provides additional detail about the distribution moments (skew, kurtosis, variance and mean) as well as providing indicators that track when a pivot has enough momentum to trade on as well as expected ranges of future price action based on Std Devs. For the momentum lines -- red indicates that there has been a reducing pivot with momentum, this continues as a grey line for continuation, and will be cancelled when an increasing pivot with momentum is encountered. Forward looking trend triangle captures the +/- stated standard deviation from the latest bar_index over 2 periods. Movements that trace outside of this can be considered a precursor to an upcoming pivot, and by analyzing skewness and kurtosis, the probability of an upcoming pivot should be better understood. I have really only looked at this for timescales greater than 5 minutes. Adjust the lookback length accordingly when moving to different timescales: For example, 1 hr at 10m timescale will be a lookback length of 6 which is too low for accurate analysis, so keep the lookback length appropriate for the timescales being used. Also realize that trade volume will skew the deviations and regression if you are including data outside of regular trading hours (futures are different, but also experience volume sensitivity -- I maylook into accounting for this in future versions.) © TheGeeBee
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Penunjuk Skrip Pine™
6

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BAGAIMANA MENCARI SUMBU ROKETSeperti yang kita lihat dalam carta, bagaimana kaunter SYSCORP membuat kenaikan dalam kadar yang tinggi hampir 90% dalam jangka singkat ( 12 hari )pada bulan Ogos lepas. Kita boleh dan akan menjumpai kaunter sebegini dengan sedikit usaha dan teknikal sebelum ia membuat perubahan ketara yang kita panggil " MEROKET". Sebelum itu, berdasarkan carta harga SYSCORP ia berada dalam downtrend dan mula uptrend pada akhir 2020. Ini ditunjukkan oleh garisan Exponential Moving Average(EMA) iaitu harga mula berada di atas EMA200. Ketika ini ia mencapai 137 % kenaikan. Kenaikan ini ditunjukkan oleh isyarat ST. Kemudian ia membuat pergerakan SIDEWAY lebih kurang 1 tahun 6 bulan dimana jarak nilai support & resistance lebih kurang 10sen. * jika kita amati kaunter seumpamanya nilai ini lebih kurang sama. Dan bulan ogos lepas ia breaks resistance dan meroket sebanyak 85% dalam masa 12 hari. Keadaan sebeginilah yang kita hendak cari...!!! Adakah sukar??? Tidak sukar dengan sedikit kerajinan, teknikal asas dan kesabaran... BAGAIMANA? STEPS; 1. Cari kaunter nilai harga 30sen ke atas, yang UPTREND dan bergerak SIDEWAY selepas uptrend tadi. Atau cari kaunter DOWNTREND dan bergerak SIDEWAY. 2. Kenalpasti jarak/range harga antara support & resistance ketika ia bergerak SIDEWAY tadi. Jarak yang signifikan ialah 10 sen. 3. Permulaan sumbu apabila EMA30 cross-up EMA100. Marking dan observe. Masukkan dalam list atau alert. Harga tidak akan meroket terus. Di sini ia menuntu kesabaran. kebiasaannya ia membuat " test" di resistance, dan pullback, beberapa kali. Kemudian harga sedikit demi sedikit menaik ke resistance dan mula BREAKS reistance seterusnya meroket ke awan. *NOTA 1. ST di carta ialah signal SUPER TREND iaitu EMA30 cross-up EMA100. Ini ialah permulaan sebelum ia bull/membuat kenaikan. 2. KESABARAN. Ingat, harga bukannya terus meroket pada ST. 3. PULLBACK. Retailer akan out kerana harga mula turun. Whales akan in/sambut di support. 4. Jika harga pecah support SIDEWAY maka teknikal ini terbatal. Jarang berlaku tetapi tidak mustahil. STRONG support sangat penting untuk dinilai. PENAFIAN : CATATAN INI BUKANLAH BUY/SELL CALL, HANYA IDEA DAN ANALISIS KAJIAN UNTUK PENDIDIKAN. TAKE AT YOUR OWN RISK.
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10 sebab kebanyakan pedagang kerugianHai semua! Berdagang & melabur bukannya mudah. Jika ia mudah, semua orang sudah menjadi kaya. Di sini ada beberapa sebab kenapa pedagang alami kerugian dan beberapa petua untuk membantu anda kembali kepada perkara asas. Kurang pengetahuan 📘 Kebanyakan pedagang melompat masuk ke dalam pasaran tanpa memahami dengan mendalam bagaimana ia berfungsi dan apa yang diperlukan untuk mencapai kejayaan. Disebabkan ini, mereka melakukan kesilapan yang mahal dan hilang wang dengan cepat. Pengurusan risiko yang lemah 🚨 Risiko ialah sebahagian daripada dagangan dan penting menguruskannya dengan efektif untuk melindungi modal dan memaksimumkan peluang kejayaan anda. Akan tetapi, banyak pedagang tidak mempunyai satu strategi pengurusan risiko yang jelas dan ini mengakibatkan mereka lebih terdedah kepada kerugian yang besar. Pembuatan keputusan beremosi 😞 Adalah mudah untuk mengalami emosi yang kuat semasa berdagang. Akan tetapi, melakukan keputusan berdasarkan emosi dan bukannya analisa rasional boleh membawa anda kepada jalan kemusnahan. Banyak pedagang melakukan keputusan yang tidak bagus apabila mereka merasa terbeban, tamak atau takut dan ini boleh mengakibatkan kerugian besar. Kekurangan disiplin 🧘‍♂️ Dagangan yang berjaya memerlukan disiplin tetapi banyak pedagang mengalami masalah untuk kekal dengan pelan mereka. Ini sangat berat apabila pasaran tidak stabil atau apabila pedagang itu melalui detik-detik kerugian. Cipta satu sistem untuk diri anda yang memudahkan anda untuk setia kepadanya! Terlebih berdagang 📊 Ramai pedagang melakukan kesalahan terlebih berdagang yang bermaksud mereka melakukan terlalu banyak dagangan dan tidak membiarkan dagangan mereka berjalan dengan sepatutnya. Ini membawa kepada lebihan risiko, kos brokeraj lebih tinggi dan kemungkinan lebih besar untuk mengalami kerugian. Perancangan yang jelas yang anda sukai dapat membantu anda mengasingkan peluang-peluang yang bagus daripada yang biasa. Tiada pelan dagangan 📝 Satu pelan dagangan memberikan peraturan dan garis panduan yang jelas untuk diikuti apabila melakukan dagangan. Tanpa satu pelan, pedagang mungkin akan mengambil tindakan drastik yang boleh menjadi berbahaya dan selalunya mengakibatkan kerugian. Tidak maklum mengenai data dan maklumat penting ⏰ Pasaran dan naratif biasa akan sentiasa berevolusi dan penting untuk pedagang sentiasa berada di hadapan dengan keadaan terkini untuk memastikan anda dapat membuat keputusan termaklum. Tidak keluar secepat mungkin semasa mengalami kerugian ✂️ Tiada pedagang mampu mengelakkan daripada kerugian tetapi kuncinya ialah meminimumkan impak kerugian itu kepada akaun anda. Satu cara yang bagus untuk melakukan ini ialah memotong kerugian anda dengan pantas apabila satu dagangan tidak bergerak ke arah yang anda mahukan. Akan tetapi, ramai pedagang bertahan dalam dagangan yang rugi dalam jangka masa yang lama, dengan berharap kerugian itu akan dapat dipulihkan dan ini boleh membawa kepada kerugian yang lebih besar daripada yang dijangkakan. Tidak memaksimumkan dagangan yang untung 💸 Sebagaimana pentingnya keluar dengan cepat dari dagangan yang rugi, adalah penting juga untuk memaksimumkan keuntungan pada dagangan yang untung. Ramai pedagang gagal melakukan perkara ini, berkemungkinan mereka tiada pelan langsung yang memberitahu mereka bila dan bagaimana untuk keluar dari satu dagangan. Disebabkan itu, mereka terlepas keuntungan lebihan. Tidak beradaptasi 📚 Menyesuaikan diri kepada keadaan pasaran yang sentiasa berubah-ubah adalah penting kepada kejayaan di dalam pasaran kewangan. Rejim bertukar, kelebihan dagangan hilang dan muncul, dan sistem yang menyokong segala-galanya sentiasa berbolak-balik. Hari ini strategi dagangan menjadi, di lain hari tidak. Pedagang perlu sentiasa mengadaptasi untuk menjana wang pada jangka masa panjang atau mengalami risiko kegagalan dalam pasaran. Secara keseluruhan, majoriti pedagang akan mengalami kerugian kerana mereka gagal untuk bersedia menghadapi halangan-halangan di dalam pasaran. Dengan belajar secara kendiri, membangunkan satu pelan dagangan yang ampuh dan melakukan perancangan sebelum mengambil apa-apa tindakan, pedagang boleh memperbaiki peluang mereka untuk berjaya dan menghindari kesilapan-kesilapan yang biasa dilakukan. Kami harap anda menyukai nota ini! Jangan malu-malu untuk memberikan apa-apa petua atau nasihat di dalam seksyen komen di bawah! Jumpa lagi minggu hadapan. 🙂 – Pasukan TradingView
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PENDIDIKAN PERATURAN & PANDUAN GELOMBANG ELLIOTPERATURAN & PANDUAN GELOMBANG ELLIOT Gelombang Besar Satu (Impuls) Corak Paten kekerapan : 1. Impuls -12345 - Gelombang kecil 1,3 & 5 2. impuls Pepenjuru Awal (Leading Diagonal-12345) 3. Corak Zigzag-ABC Gelombang kecil 2 4 Segi Tiga (Triangle-ABCDE) Gelombang Kecil 4 Tahap Fibonacci kekerapan sasaran 1 . 161.80% -200% (jika di tarik dari poin gelombang Pembetulan bermula mengunakan Fibonacci Extension) Gelombang Besar Dua (Pembetulan ( Peraturan : Gelombang dua tidak boleh mengundur melebihi tahap mula Gelombang satu ) Corak Paten kekerapan : 1. Corak Zigzag-ABC Gelombang kecil A 2. Corak Zigzag ABC / Rata (Flat ABC) Gelombang kecil B 3. Corak Zigzag ABC / Rata (Flat ABC) Gelombang kecil C. 4. Gelombang pembetulan kombo berganda WXY kerap berlaku jika terdapat ketidaktentuan pasaran Nisbah Tahap Pengunduran Fibonacci dari Gelombang besar Satu : 1. Tahap 38.2%- 12% nisbah kebarangkalian - 2. Tahap 50%-61.8% - 75% Nisbah Kebarangkalian 3. Tahap 61.8% -88% - 13% Nisbah Kebarangkalian Gelombang Besar Tiga (Impuls) ( Peraturan : Gelombang Besar 3 tidak akan menjadi gelombang yang terpendek ) Corak Paten kekerapan : 1. Impuls -12345 - Gelombang kecil 1,3 & 5 2. Segi Tiga (Zigzag-ABC) Gelombang kecil 2 4 Segi Tiga (Triangle-ABCDE) Gelombang Kecil 4 Tahap Fibonacci kekerapan sasaran 1 . Kurang dari 161.80%- Nisbahnya - 15% 2. Melebihi dari 161.8% -261.8%% - Nisbahnya - 75% 3. Melebihi 261.8% atau Penyambungan Gelombang Nisbah sebanyak - 10% Panduan : *Fibonacci Extension di tarik dari i) poin mula gelombang Satu atau Low Low ii) Poin puncak gelombang Satu atau High High iii) Poin Akhir Gelombang 2 atau High Low * Gelombang besar Tiga kerap akan berakhir hingga 161.8% Gelombang Besar Empat Pembetulan ( Peraturan : Gelombang Besar 4 tidak boleh mengundur melebihi puncak Gelombang Besar Satu ) Corak Paten kekerapan : 1. Segi Tiga penyusutan (Triangle -Gelombang ABCDE) 2. Segitiga (Zigzag ABC) / Rata (Flat ABC) *Agak kerap berlaku segi Tiga Penyusutan di Gelombang Besar 4* Nisbah Tahap pengunduran Fibonacci dari Gelombang besar 3 : 1. Tahap 38.2%- 15% nisbah kebarangkalian - 2. Tahap 38.8%-50% - 30% Nisbah Kebarangkalian 3. Tahap 50% -61.8% - 40% Nisbah Kebarangkalian 4. Melebihi 61.8% - 15% Nisbah kebarangkalian Gelombang Besar Lima (Impuls) Corak Paten kekerapan : 1. Impuls -12345 - Gelombang kecil 1,3 & 5 2. impuls Pepenjuru Akhir (Ending Diagonal-12345) Tahap Fibonacci kekerapan dari Gelombang besar Empat berakhir. 1 . Kurang dari 50% - Nisbahnya - 15% (Kes Pemotongan Gelombang Lima) 2. Melebihi 50% - 100% - Nisbahnya - 70% 3. Melebihi 100.% -127.2%- Nisbahnya – 15% Gelombang Besar ABC Pembetulan Corak Paten kekerapan : 1. Corak Zigzag-ABC - Gelombang besar ABC 2. Corak Pepenjuru Awal-12345 -kerap berlaku di Gelombang Besar A 3. Corak Pepenjuru Akhir -12345 -kerap berlaku di Gelombang Besar C. 4. Gelombang pembetulan kombo berganda WXY kerap berlaku jika terdapat ketidaktentuan pasaran Nisbah Tahap Pengunduran Fibonacci dari Gelombang besar Motive : 1. Tahap 38.2%- 12% nisbah kebarangkalian - 2. Tahap 50%-61.8% - 75% Nisbah Kebarangkalian 3. Tahap 61.8% -88% - 13% Nisbah Kebarangkalian #TECHNICAL ANALYSIS “IF YOU ARE BUYING SIGNALS OR CLASSICAL ANALYST, HARMONICS, SUPPLY & DEMAND OR ANY OTHERS ANALYSIS SCHOOL”, “YOU MUST ADD ELLIOT WAVES ELEMENT & TOOL TO KNOW THE DIRECTIONS & FATE OF THE MARKET” REMEMBER THAT ELLIOT WAVES GIVES YOU THE FULL CONFIDENCE TRUST IN YOUR TRADINGS AND INVESTMENTS. DEAN MENTARI
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Holy Grail Pelabur - Kitaran Perniagaan/EkonomiKitaran perniagaan menerangkan bagaimana ekonomi berkembang dan menguncup dari semasa ke semasa. Ia adalah pergerakan menaik dan menurun keluaran dalam negara kasar bersama-sama dengan kadar pertumbuhan jangka panjangnya. Kitaran perniagaan terdiri daripada 6 fasa/peringkat: 1. Pengembangan 2. Puncak 3. Kemelesetan 4. Kemurungan 5. BAWAH 6. Pemulihan 1) Pengembangan Sektor Terjejas : Teknologi, budi bicara Pengguna Pengembangan adalah peringkat pertama kitaran perniagaan. Ekonomi bergerak perlahan ke atas, dan kitaran bermula. Kerajaan mengukuhkan ekonomi: * Menurunkan cukai * Tingkatkan perbelanjaan. - Apabila pertumbuhan perlahan, bank pusat mengurangkan kadar untuk menggalakkan perniagaan meminjam. - Apabila ekonomi berkembang, penunjuk ekonomi berkemungkinan menunjukkan isyarat positif, seperti pekerjaan, pendapatan, upah, keuntungan, permintaan dan penawaran. - Peningkatan dalam pekerjaan meningkatkan keyakinan pengguna meningkatkan aktiviti dalam pasaran perumahan, dan pertumbuhan menjadi positif. Tahap permintaan yang tinggi dan bekalan yang tidak mencukupi menyebabkan kenaikan harga pengeluaran. Pelabur mengambil pinjaman dengan kadar yang tinggi untuk mengisi tekanan permintaan. Proses ini berterusan sehingga ekonomi menjadi baik untuk pengembangan. 2) Puncak: Sektor Terjejas : Kewangan, tenaga, bahan - Peringkat kedua kitaran perniagaan ialah puncak yang menunjukkan pertumbuhan maksimum ekonomi. Mengenal pasti titik akhir pengembangan adalah tugas yang paling kompleks kerana ia boleh bertahan selama bertahun-tahun. - Fasa ini menunjukkan pengurangan dalam kadar pengangguran. Pasaran meneruskan tinjauan positifnya. Semasa pengembangan, bank pusat mencari tanda-tanda tekanan harga bangunan, dan peningkatan kadar boleh menyumbang kepada kemuncak ini. Bank pusat juga cuba melindungi ekonomi daripada inflasi pada peringkat ini. - Memandangkan kadar pekerjaan, pendapatan, gaji, keuntungan, permintaan & penawaran sudah tinggi, tiada kenaikan lagi. - Pelabur akan menghasilkan lebih banyak lagi untuk mengisi tekanan permintaan. Oleh itu, pelaburan dan produk akan menjadi mahal. Pada ketika ini, pelabur tidak akan mendapat pulangan disebabkan oleh inflasi. Harga jauh lebih tinggi untuk pembeli membeli. Daripada situasi ini, kemelesetan berlaku. Ekonomi berbalik dari peringkat ini. 3) Kemelesetan: Sektor Terjejas : Utiliti, penjagaan kesihatan, keperluan pengguna - Dua suku berturut-turut penurunan berturut-turut dalam keluaran dalam negara kasar membentuk kemelesetan. - Kemelesetan diikuti oleh fasa puncak. Dalam fasa ini penunjuk ekonomi mula lebur. Permintaan terhadap barangan tersebut menurun kerana harga yang mahal. Bekalan akan terus meningkat, dan sebaliknya, permintaan akan mula merosot. Itu menyebabkan "lebihan bekalan" dan akan menyebabkan kejatuhan harga. 4) Kemurungan: - Dalam kemelesetan yang lebih berpanjangan, ekonomi memasuki fasa kemurungan. Tempoh malaise dipanggil kemurungan. Kemurungan tidak kerap berlaku, tetapi apabila ia berlaku, nampaknya tiada jumlah rangsangan dasar yang boleh mengangkat pengguna dan perniagaan keluar daripada kemerosotan mereka. Apabila ekonomi merosot dan jatuh di bawah pertumbuhan yang stabil, peringkat ini dipanggil kemurungan. - Pengguna tidak meminjam atau berbelanja kerana mereka pesimis terhadap prospek ekonomi. Apabila bank pusat mengurangkan kadar faedah, pinjaman menjadi murah, tetapi perniagaan gagal memanfaatkan pinjaman kerana mereka tidak dapat melihat gambaran yang jelas tentang bila permintaan akan mula meningkat. Permintaan untuk pinjaman akan berkurangan. Perniagaan akhirnya bergantung pada inventori & pengeluaran pare back, yang telah mereka hasilkan. - Syarikat memberhentikan semakin ramai pekerja, dan kadar pengangguran meningkat dan keyakinan semakin mendatar. 5) BAWAH: - Apabila pertumbuhan ekonomi menjadi negatif, prospek kelihatan tiada harapan. Kemerosotan selanjutnya dalam permintaan dan penawaran barangan dan perkhidmatan akan menyebabkan lebih banyak kejatuhan harga. - Ia menunjukkan keadaan negatif maksimum apabila ekonomi mencapai titik terendah. Semua penunjuk ekonomi akan menjadi lebih teruk. Cth. Kadar pengangguran tertinggi, dan Tiada permintaan untuk barangan dan perkhidmatan(paling rendah), dsb. Selepas selesai, masa yang baik bermula dengan fasa pemulihan. 6) Pemulihan Sektor yang terjejas : Perindustrian, bahan, hartanah - Akibat harga yang rendah, ekonomi mula pulih daripada kadar pertumbuhan negatif, dan permintaan dan pengeluaran kedua-duanya mula meningkat. - Syarikat berhenti membuang pekerja dan mula mencari untuk memenuhi tahap permintaan semasa. Akibatnya, mereka terpaksa mengupah. Apabila bulan berlalu, ekonomi sedang berkembang. - Kitaran perniagaan adalah penting kerana pelabur cuba menumpukan pelaburan mereka kepada pelaburan yang dijangka akan berjaya pada masa tertentu kitaran. - Kerajaan dan bank pusat juga mengambil tindakan untuk mewujudkan ekonomi yang sihat. Kerajaan akan meningkatkan perbelanjaan dan juga mengambil langkah untuk meningkatkan pengeluaran. Selepas fasa pemulihan, ekonomi kembali memasuki fasa pengembangan. Syurga Selamat/Stok Defensif - Ia mengekalkan atau menjangkakan nilainya semasa krisis, kemudian melakukannya dengan baik. Kita juga boleh mengharapkan pulangan yang baik dalam kelas aset ini. Cth. utiliti, penjagaan kesihatan, barang keperluan pengguna, dsb. ("KITA AKAN MEMBINCANGKAN LEBIH LANJUT DALAM ARTIKEL AKAN DATANG AKIBAT PANJANG ARTIKEL.") Maafkan saya atas halangan komunikasi. @Money_Dictators
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contoh kenal pasti salah satu CIRI2 asas 'bullish flag pattern'NOTE: ini bukan BUY CALL . ini memerlukan kajian bersama DAN tolong kaji ikut pemahaman masing-masing dan tidak bertanggungjawap sebarang kerugian. Penafian : Kajian diatas bertujuan untuk KITA bersama sama mengkaji dan bukanlah bertujuan untuk membeli atau menjual instrumen ini . Berdagang Diatas Risiko Sendiri #strong&loyal #ma100ma50ZZL&goldencross #4eDucationOnly #KISS 1.abaikan konter di carta kerana bukan konter ini yang hendak di berikan tumpuan TETAPI apa yang sudah berlaku DAN MUNGKIN akan berlaku mengikut apa yang di maksudkan dengan Bullish Flag Pattern. Kebiasaannya contoh bullish flag pattern di di'hidangkan' kepada kita semua SETELAH berlakunya/complete pattern ini , tetapi kali ini mungkin berbeza sedikit. Berlaku atau tidak bukanlah menjadi keutamaan , yang kita semua termasuk iols dapat pelajari sesuatu. 2.APA yang iols faham secara asasnya dan se'simple' , untuk corak ini harus bermula dengan adanya kenaikan mendadak diikuti volume relatif yang luarbiasa/ meyakinkan. 3.terbahagi kepada 2 elemen : pole dan flag pole : kenaikan harga yang mendadak dengan body candle yang besar dan volume yang kuat flag : berlaku pullback yang lemah , candle kecil & volume sell yang tinggi memungkinkan pentanda seperti ciri2 perkara yang dibincangkan.Pada peringkat ini juga carta akan menyaksikan munculnya konsolidasi 4. selebihnya boleh rujuk aliran seperti carta ( 1 , 2 & 3) Untuk semua perkara di atas eloklah kita kaji bersama sebelum membuat apa jua keputusan ,kerana kitalah yang bertanggungjawap diatas segala keputusan. b egitulah dunia TA, perkara sama tetapi lihat berbeza2 tiada yang betul atau salah kerana ianya belum berlaku .
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crvbtc- membuat falling wedge bo beserta rebounce sempurna ?NOTE: ini bukan BUY CALL . ini memerlukan kajian bersama DAN tolong kaji ikut pemahaman masing-masing dan tidak bertanggungjawap sebarang kerugian. Penafian : Kajian diatas bertujuan untuk KITA bersama sama mengkaji dan bukanlah be yangrtujuan untuk membeli atau menjual instrumen ini . Berdagang Diatas Risiko Sendiri #strong&loyal #ma100ma50ZZL&goldencross #4eDucationOnly #KISS -posting kedua menggunakan video ( jika ada salah silap mohon tunjuk ajar ku sifu) -segala penerangan ada di video -R/R ratio 1:3 begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
IFCAMSC ANALISA Gelombang Ellliot PENDIDIKAN GELOMBANG ELLIOT CARA MUDAH ASAS PERMULAAN PENGIRAAN GELOMBANG ELLIOT 1. Buka Chart Trading View 2. Pilih Kaunter 3. Buka “Time Frame” Mingguan (Weekly) 4. Kenal Pasti Struktur Pergerakan Harga Pasaran (High & Low- HH -LL) 5. Kenal Pasti Corak Struktur Pergerakan Harga Pasaran 6. Kenal Pasti Arah Pergerakan Harga Pasaran ( Uptrend @ Downtrend) 7. Kenal Pasti & tandakan Harga Tertinggi & terendah di Chart 8. Selepas itu buka “Time Frame” Harian -Daily 9. Sila Guna Alat “Lanjutan Fib Berdasarkan arah Aliran ( Fibonacci Extension ) 10. Klik Alat Fibo Extension i. Pertama - klik pada Harga terendah (LL), ii. Kedua – Klik pada Harga Tertinggi (HH) iii. Ketiga – Klik pada Harga rendah (HL) 11. Fibonacci extension akan memberikan tahap aras sebagai panduan sahaja 12. Pengiraan untuk gelombang satu adalah dengan mengenal pasti corak yang kerap berlaku iaitu Pepenjuru Awal ( Leading Diagonal ) 13. Peraturan nya adalah seperti IDEA Pendidikan Terdahulu : 14. 15. 16. 17. 18. 19. Sila rujuk Video ini & selalu mengikuti saya utk Video PENDIDIKAN EW akan datang 20. Semoga Bermanfaat kepada Semua *Penafian : Semua Idea Pelan dagangan ( Trading Plan Idea) ini adalah bertujuan pembelajaran & kajian Penulis semata-mata, *Bagi tujuan pembelian & jual saham sila rujuk kepada pihak wakil " Remiser atau Perunding pakar Saham " . *Segala pembelian atau penjualan atau juga kerugian atas transaksi saham , adalah tanggungjawab sendiri . Peringatan Mesra : Kawal emosi , Jaga kapital & displin dagangan Mulakan dengan Bismillah & Selawat sebelum dagangan . Sekian Terima kasih . Dean Mentari
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