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Idea

layhong- menarik untuk di kaji 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.MACD nampaknya mau bersilang dan mungkin menunjukkan sesuatu yang positif di dalam jangka masa terdekat ? 2.seperkara lagi harga ditutup di atas EMA100 & EMA200. 3.pun begitu jika bo & kekal di atas 0.285 aftifkan SL di 0.260 *boleh kaji sambil mencari peluang jika kena dengan kajian masing2 *trading plan harus ada sebelum membuat sebarang keputusan *bolehlah dikaji bersama begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
Pilihan Editor
Coraza : BO resistance dengan volumCoraza Integrated Technology Berhad ialah sebuah syarikat pemegangan pelaburan dan melalui anak syarikatnya, syarikat itu terlibat dalam fabrikasi kepingan logam dan komponen mesin ketepatan. Syarikat itu juga terlibat dalam penyediaan perkhidmatan berkaitan, seperti reka bentuk dan pembangunan serta perkhidmatan pemasangan submodul nilai tambah. Syarikat itu memberi perkhidmatan kepada pelanggannya dalam pelbagai industri termasuk semikonduktor, instrumentasi, sains hayat dan peranti perubatan, telekomunikasi, aeroangkasa serta elektrik dan elektronik. Coraza Integrated Technology Berhad telah diperbadankan pada tahun 2001 dan kemudahan pejabat pembuatannya terletak di Pulau Pinang, Malaysia. Sektor: Produk & Perkhidmatan Perindustrian, Kejuruteraan Industri, Pemesinan Ketepatan Kod: 0240 TA : Breakout resitance dan tutp dengan candle marubozu. Kemasukan volume melebihi purata volum> Selagi harga bertahan atas RBS 0.775 menarik untuk diperhatikan
Pilihan Editor
THETA - Menarik untuk dikajiSektor: - Teknologi, Digital services, Idea analisis: Dari sudut teknikal - THETA jelas breakout garisan menurun dan dalam fasa reversal. - THETA melakukan pullback setelah melakukan breakout dengan candle morobuzu. - THETA dilihat mencari arah untuk mendarat serta melakukan rebound. - Setup strategi tradingbox boleh digunapakai dalam proses pembelian. #TAYOR #BAYOR --------------------------------- PENAFIAN: Sebarang idea² analisis yang dikongsikan bertujuan hanya untuk memudahkan kajian dan pembelajaran semata, bukanlah saranan untuk beli dan jual. 📌 Melabur adalah atas risiko sendiri.
Pilihan Editor
2
GOLD (Percubaan untuk Bergraduasi)• Selepas emas membuat harga tertinggi pada 7 Ogos 2020, harga menurun dan sampai sekarang masih belum mampu untuk membuat harga tertinggi yang baru. • Emas cuba untuk membuat harga tertinggi yang baru pada 8 Mac 2022 tetapi masih tidak mampu melebihi harga pada 7 Ogos 2020. • 2 tahun emas dalam keadaan sideways atau mendatar. • Persoalannya, adakah emas telah bergraduasi daripada trend sideways ini? • Berkemungkinan emas telah bergraduasi dengan 2 justifikasi: i. Pembentukan signal 'strong double bullish divergence' (yang ditunjukkan oleh 2 daripada 5 oscillator yang digunapakai). ii. Rebound di atas garisan flat. • Walaubagaimanapun, emas perlu melepasi 3 resistance @ rintangan penting untuk meyakinkan lagi analisis ini: i. Garisan downtrend. ii. MA 50 yang merupakan dinamic support yang paling sesuai dengan emas. iii. Horizontal resistance (1804 - 1813) yang diambil berdasarkan Fixed Range Volume Profile (FRVP), dimana transaksi yang banyak berlaku sejak 7 Ogos 2020 sehingga hari ni adalah pada tingkat harga 1804 - 1813. • Kiraan Elliott Wave ini valid selagimana harga tidak jatuh melebihi invalidation level (1680.20). Nota Kaki • Strong Bullish Divergence = Keadaan dimana harga menurun (lower low) tetapi oscillator menaik (higher low). • Lower low = 'Paras terendah terbaru' yang lebih rendah daripada 'paras terendah sebelumnya'. • Higher low = 'Paras terendah terbaru' yang lebih tinggi daripada 'paras terendah sebelumnya'. • Rebound = Harga melantun ke atas setelah mengalami penurunan sebelumnya. • Resistance = Paras rintangan atau syiling harga. Harga kebiasaanya akan menaik sehingga ke paras ini. • Downtrend = Keadaan dimana harga bergerak menurun. • * Untuk mengetahui lebih terperinci tentang 'dinamic support, horizontal resistance' dan lain² jenis Support dan Resistance (SnR), boleh klik pautan di bawah: • Berkaitan degree (darjah) Elliott Wave yang digunakan dalam idea analisis ini: #DYOR #TAYOR #BAYOR #SAYOR . PENAFIAN / DISCLAIMER ⚠️ Penulis / penganalisis bukan 'Financial Planner', 'Investment Advisor', 'Fund Manager' atau 'Remisier' dan tiada sebarang autoriti dalam menasihati aktiviti² berkaitan pelaburan. ⚠️ Sebarang idea² analisis yang dikongsikan hanya berdasarkan pengalaman dan ilmu yang sangat terhad. Besar kemungkinan analisis² ini adalah tidak tepat. Idea² analisis ini juga hanya bertujuan untuk memudahkan kajian dan pembelajaran semata, bukan saranan untuk beli dan jual (buycall & sellcall). 📌 Jangan entry sebelum kaji. 📌 Pastikan yakin, baru jump in. 🛑 Tenang dengan PERLINDUNGAN | Untung dengan PELABURAN 🛑
Pilihan Editor
3
VRTX: Kelemahan?Saham syraikat Vertex Pharmaceuticals dilihat bergerak menaik sejak beberapa bulan dagangan yang lalu Namun jika dilihat pada selang masa bulanan, pergerakan harga dilihat seakan menunjukkan beberapa tanda kelemahan Lilin pada selang bulanan terkini dilihat telah membentuk lilin doji yang menunjukkan ketidaktentuan arah pergerakan harga Lilin dagangan pada dua bulan sebelum itu juga dilihat seakan membentuk lilin 'hanging man' Petunjuk volum dilihat semakin berkurang tatkala harga cuba membuat kenaikan sehingga ke paras tertinggi tahun sebelumnya Petunjuk RSI bulanan dilihat seakan membentuk divergence jika dibandingkan dengan kedudukan harga di paras terkini Harga dilihat seakan sedang cuba membuat pembentukan corak carta paras tinggi berganda jika diperhatikan sekilas pandang Walaubagaimanapun selagimana harga belum membuat penurunan dan memecahkan sokongan masih terlalu awal untuk membuat kesimpulan Ke mana 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!
Pilihan Editor
FBMKLCI dalam dilemaada banyak kemungkinan bagi indeks BURSA KLCI 1. tak pecah line hijau ema100 lagi - line hijau jadi resistant 2. dah memecah TAD purple tapi turun semula 3. ikut elliot wave akan turun dulu 4. tapi ada gap di atas 5. harga telah mencapai harga siling menurut indi gap 6. zon coklat telah wujud menandakan candle bakal turun apa pun kita boleh consider indeks dah naik tinggi dan masa utk buat correction mungkin telah pun tiba tunggu dan lihat masa utk main guli kat tepi utk bursa ni mmg kena bersangka buruk je bursa bukan baik nau pun
Pilihan Editor
AAPL (Antara Ambil Peluang @ Lepas)• Saham Apple (AAPL) adalah saham pendasar utama etf HLAL. • Etf HLAL pula adalah aset utama portfolio US Stocks dan Very Aggressive (Wahed Invest). • Pergerakan harga saham AAPL sangat memberi kesan kepada harga etf HLAL. • Pergerakan harga etf HLAL sangat memberi kesan kepada nilai portfolio US Stocks dan Very Aggressive. • Jadi, keputusan pelaburan dalam portfolio US Stocks dan Very Aggressive perlu diberatkan @ bias kepada saham AAPL dari sudut fundamental dan teknikal. • Dari sudut fundamental, secara amnya syarikat Apple antara syarikat yang terbesar di dunia dari sudut perolehan (revenue). • Permintaan kepada saham AAPL ini juga meningkat dari masa ke semasa. Kesannya, harga saham AAPL meningkat tinggi sehingga saham AAPL perlu di'split' harga sebanyak 5 kali sejak 1980 bagi membolehkan pelabur² bilis seperti kita mampu beli saham AAPL ini. - Dari sudut teknikal, terkini harga saham AAPL dah jatuh sebanyak 30% daripada harga tertinggi (USD 182.94) dalam masa kurang 6 bulan dan sekarang masih berusaha untuk naik melebihi harga tertinggi. • Selepas kejatuhan drastik ini, harga saham AAPL dilihat sekarang sedang membuat reversal dengan petunjuk: i. Breakaway gap di atas dinamic SnR yang agak kuat bagi saham AAPL iaitu MA 200. • Walaubagaimanapun, saham AAPL juga berpotensi untuk meneruskan kejatuhan lagi selepas ini dengan dua petunjuk: i. Hidden Bearish Divergence yang berpotensi terbentuk. Ini memberi gambaran bahawa momentum pembelian yang kuat masih tidak mampu menaikkan harga kerana minat penjualan masih lebih kuat. ii. Exhausting gap yang terbentuk setelah pembentukan leading diagonal. • Penulis lebih memilih pendapat kedua iaitu saham AAPL masih lagi bearish dan belum tiba masa untuk reversal. • Pendapat ini juga bersandarkan kepada bacaan² dan berita² terkini yang banyak menunjukkan bahawa pasaran saham global masih lagi dalam keadaan bearish. Nota Kaki • Reversal = Harga bertukar arah atau membuat pembalikan. Dalam idea analisis ini, harga bertukar arah daripada bearish kepada bullish. • Bearish = Keadaan dimana harga bergerak menurun. • Bullish = Keadaan dimana harga bergerak menaik. • Breakaway Gap = Gap permulaan trend. • Exhausting Gap = Gap dihujung trend. • Gap (Up) = Harga dibuka tinggi berbanding harga ditutup hari sebelumya. • SnR = Support and Resistance. • Support = Paras sokongan atau lantai harga. Harga kebiasaanya akan menurun sehingga ke paras ini. • Resistance = Paras rintangan atau syiling harga. Harga kebiasaanya akan menaik sehingga ke paras ini. • Hidden Bearish Divergence = Keadaan dimana harga menurun (lower high) tetapi oscillator menaik (higher high). • Lower high = 'Paras tertinggi terbaru' yang lebih rendah daripada 'paras tertinggi sebelumnya'. • Higher high = 'Paras tertinggi terbaru' yang lebih tinggi daripada 'paras tertinggi sebelumnya'. • Berkaitan degree (darjah) Elliott Wave yang digunakan dalam idea analisis ini: #DYOR #TAYOR #BAYOR #SAYOR . PENAFIAN / DISCLAIMER ⚠️ Penulis / penganalisis bukan 'Financial Planner', 'Investment Advisor', 'Fund Manager' atau 'Remisier' dan tiada sebarang autoriti dalam menasihati aktiviti² berkaitan pelaburan. ⚠️ Sebarang idea² analisis yang dikongsikan hanya berdasarkan pengalaman dan ilmu yang sangat terhad. Idea² analisis ini juga hanya bertujuan untuk memudahkan kajian dan pembelajaran semata, bukan saranan untuk beli dan jual (buycall & sellcall). 📌 Jangan entry sebelum kaji. 📌 Pastikan yakin, baru jump in. 🛑 Tenang dengan PERLINDUNGAN | Untung dengan PELABURAN 🛑
Pilihan Editor
PYPL: Ke Mana Halatuju?Saham syarikat PayPal dilihat bergerak dalam trend menurun sejak setahun dagangan yang lalu Terkini pergerakan harga dilihat baharu sahaja memecahkan corak carta baji 'wedge' beberapa hari sebelum ini Walaubagaimanapun, volum dilihat hanya berada di paras purata harian ketika harga memecahkan rintangan berkenaan Harga dilihat masih perlu melepasi rintangan dinamik MA50 dan MA200 mingguan untuk kembali dalam trend menaik (tidak ditunjukkan) Berkemungkinan kenaikan ini hanyalah lantunan teknikal jika dilihat pada RSI mingguan yang dilihat membuat 'divergence' (tidak ditunjukkan) Namun, tidak mustahil juga hasil perolehan yang akan diumumkan akan menjadi pemangkin untuk harga kembali membuat kenaikan Selagimana harga belum menunjukkan kekuatan kenaikan, adalah selamat untuk harga dikatakan masih cenderung meneruskan kejatuhan Ke mana halatuju harga sebenarnya? 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!
Pilihan Editor
KYM : BO DT Channel Dengan Volum KYM Holdings Bhd., melalui anak syarikatnya, terlibat dalam pembuatan dan penjualan papan dan kotak gentian beralun. Syarikat itu juga mengeluarkan dan menjual beg tenunan industri, beg kertas industri berbilang dinding, dan kotak karton beralun. Di samping itu, ia terlibat dalam pelaburan dan pembangunan hartanah; operasi resort dan padang golf; pembinaan am; dan penyediaan kemudahan rekreasi dan sukan. KYM Holdings Bhd. berpangkalan di Kuala Lumpur, Malaysia. Sektor: Produk Perindustrian, Pembungkusan, Bahan Pembungkusan, Produk & Perkhidmatan Perindustrian Kod: 8362 Pandangan Teknikal : 1. Hari ni telah breakout DT channel dengan volum padu 2. Sejarah menunjukkan dengan kemasukan volum padu, akan adanya rally bagi kaunter ini 3. Harga mesti bertahan atas 0.570 untuk kekalkan momentum 4. Boleh monitor pergerakan harga seterusnya
Pilihan Editor
KLCI - Petanda reversal?INDEX - Bursa Malaysia KLCI Analisis idea : Dari sudut teknikal/carta 1. KLCI dilihat BREAKOUT paras SBR (support become resistance) pada paras index 1458 2. KLCI dilihat menarik sekiranya berjaya menembusi paras index 1477. 3. Indikator RSI menunjukkan momentum KLCI semakin kuat apabila berada atas aras RSI 50 4. Volume belian mulai masuk apabila tekanan jualan kembali reda. TAYOR --------------------------------- PENAFIAN: Sebarang idea² analisis yang dikongsikan bertujuan hanya untuk memudahkan kajian dan pembelajaran semata, bukanlah saranan untuk beli dan jual.
Pilihan Editor

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Idea Pendidikan

Bagaimana untuk gagal sebagai seorang pedagangHai Semua! 👋 Beberapa minggu lepas, kami telah melihat pada beberapa cara terbaik untuk memperbaiki dagangan anda, termasuk belajar untuk menyesuaikan diri kepada keadaan pasaran , membina satu minda dagangan yang betul , dan banyak lagi. Hari ini, kami fikir ia akan jadi menyeronokkan untuk melakukan perkara yang sebaliknya. Selain dari cuba membantu komuniti membina latihan-latihan yang kukuh dan profesional - mari kita cuba membina satu pedagang yang gagal dari bawah ke atas! Apakah ciri-ciri/keputusan yang akan kita ada untuk menggalakkan seseorang mendapatkan satu hasil yang gagal? Secara teorinya, pasaran adalah hanyalah satu permainan kebarangkalian. Bagaimanakah kita boleh menjamin pedagang kita akan gagal? Seperti yang berlaku, ada beberapa perlakuan mudah yang kita boleh gabungkan untuk memastikan satu keputusan kegagalan adalah satu kesimpulan yang dapat diramalkan. Nombor 1: Mereka tidak pernah menentukan risiko 🤷🏼‍♂️ Di dalam dagangan, orang-orang selalunya mengatakan mengenai perkara-perkara tentang "Pengurusan risiko", "Menentukan risiko anda" atau "Menentukan di mana anda keluar", tetapi ia kadang-kadang boleh menjadi sukar untuk ditentukan, sebagai seorang pedagang baru, apakah yang orang-orang cakap ni. Menentukan risiko saya? Bagaimana? Apa yang kamu cakap ni? Apa maksudnya? Secara mudahnya, menentukan risiko anda adalah satu proses mengetahui *di mana* kesalahan anda di dalam satu dagangan/pelaburan. Untuk pedagang aktif, ia boleh menjadi semudah memilih satu ketinggian atau kerendahan baru, dan berkata "Jika harga ini kena, kemudian saya akan keluar dari dagangan. Bacaan jangka pendek yang saya dapat pada aset ini tidak lagi sah. Saya tidak rasa saya tau apa akan terjadi selepas ini." Untuk seseorang yang lebih kepada pedagang posisi, ia boleh jadi semudah mengatakan "Saya tidak mahu rugi lebih daripada 10% (atau beberapa peratus) dari modal saya pada mana-mana titik apabila saya berada dalam posisi ini. Saya rasa saya telah memilih masukan saya dengan cukup baik yang mana satu kejatuhan 10% (atau x%) akan bermaksud bahawa, untuk alasan-alasan tertentu, pemikiran saya adalah tidak lagi sah." Dari satu perspektif pengurusan tunai/portfolio, menentukan risiko anda mempunyai dimensi yang lain: Berapakah jumlah modal yang anda mahu berpotensi untuk rugi di dalam satu senario terburuk? Patutkah setiap dagangan merisikokan 50% daripada modal anda? 20%? 5%? 1%? Berapa banyak jumlah terkumpul wang anda yang anda akan hilang sebelum anda berhenti? Untuk memastikan bahawa kita mempunyai seorang pedagang yang gagal, ianya penting yang mereka tidak mempunyai satu pelan untuk saiz posisi, menetapkan renti rugi, atau menetapkan renti rugi untuk akaun. Dengan cara ini, mereka tidak akan mempunyai apa-apa ketekalan dan akhirnya akan mengambil beberapa kerugian besar yang akan menendang mereka keluar dari permainan ini selama-lamanya. Nombor 2: Mereka menggunakan banyak keumpilan 🍋 Apabila digabungkan dengan Nombor 1, menggunakan banyak keumpilan adalah satu cara bagus untuk mempercepatkan proses kehilangan wang. Dengan satu strategi yang menang 50% sepanjang masa akan secara statistiknya menghadapi satu 7 kerugian dagangan berturut-turut di dalam 100 dagangan akan datang, menambahkan saiz dan menggunakan keumpilan adalah satu cara bagus untuk memastikan bahawa apabila satu keadaan buruk berlaku, anda hilang semua modal anda. Membiarkan dagangan terjadi lebih daripada banyak mana anda jangkakan akan rugi adalah satu cara bagus untuk mempercepatkan proses ini, kerana dengan penambahan keumpilan, ia hanya memerlukan untuk melawan anda sebanyak 50%, 20%, 10%, dll, sebelum anda hilang semuanya. Anda tidak boleh merisikokan ke kosong. Dengan mengira bahawa kebanyakan dana lindung nilai paling agresif di dunia selalunya tidak menggunakan keumpilan lebih dari 5-8x, walaupun dalam dagangan FX, kita akan memerlukan pedagang gagal kita untuk menggunakan paling kurang 10-20x keumpilan untuk mempercepatkan kemusnahan mereka. Nombor 3: Mereka melompat dari strategi ke strategi 🐰 Bruce Lee pernah berkata, “Saya takut bukannya pada lelaki yang telah berlatih 10,000 tendangan sekali, tetapi saya takut lelaki yang telah berlatih satu tendangan 10,000 kali.” Dalam contoh ini, kekal dengan satu strategi, walaupun ianya kurang optimum, adalah lelaki yang telah berlatih satu tendangan banyak kali. Pedagang yang strateginya melompat-lompat adalah seorang yang telah mencuba hampir semua tendangan yang ada di luar sana, tetapi tidak menguasai satu pun. Untuk memastikan pedagang kita adalah seorang pedagang yang gagal, kita hendaklah mestikan mereka tidak pernah menguasai apa-apa dan kekal bertukar dari satu strategi ke satu strategi. Kita perlu megumpan satu strategi, penunjuk, atau gaya dagangan baru secara konsisten di depan muka pedagang kita. Jadi, tidak kira strategi apapun yang pedagang itu pilih, mereka akan kekurangan jam yang perlu untuk mendapatkan apa-apa kecuali perlaksanaan dagangan yang kurang optimum, rasa pasaran keseluruhan yang lemah, dan satu kekurangan nuansa dan pemahaman secara umum. Gabungkan dengan nombor 1 dan nombor 2, ia adalah hampir mustahil untuk pedagang ini memperolehi keuntungan. -- Jadi, itu dia; 3 cara untuk memastikan pedagang akan gagal. Cam salah satu daripada mereka? Harapan kami dengan menulis ini adalah bukan untuk mematahkan semangat sesiapa daripada memasuki pasaran, tetapi lebih kepada untuk memberikan pemahaman pada beberapa tabiat buruk yang kita boleh buat apabila baru bermula. Mengelakkan kesilapan-kesilapan orang baru dan amalan buruk yang boleh membantutkan kerjaya sebagai seorang pedagang & mencipta tabiat buruk - no bueno! Beritahu kami jika anda menyukai ini, dan kami akan sentiasa melakukan lebih banyak catatan seperti ini yang melalui beberapa "amalan-amalan bagus" dagangan. Selamat berhujung minggu! -Pasukan TradingView ❤️
Pilihan Editor
Pendidikan
HEXIND: MERANCANG DAGANGAN & POTENSI BERPANDUKAN PATTERN & TRENDSila rujuk analisis di carta bagaimana merancang dagangan apabila sesuatu saham atau pasaran membuat corak dan trend seperti di atas. Strategi ini juga boleh di aplikasikan dalam pasaran lain selain pasaran saham. NOTA : analisis di atas hanya menunjukkan potensi dan peluang sahaja dimana tidak menunjukkan perincian dari segi harga entry/exit/TP/SL. PENAFIAN : CATATAN INI BUKANLAH BUY/SELL CALL, HANYA IDEA DAN ANALISIS KAJIAN UNTUK PENDIDIKAN. TAKE AT YOUR OWN RISK.
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Adakah SNC sudah bersedia membuat pantulan wave ke atas?Carta menunjukkan satu bentuk carta Flat expanded yang mana correction flat wave B menepati rule" ew iaitu tamat pada 123.60% (harga 765) dan telah expand wave c ke fibo 161.80% (harga 510) Untuk memastikan pantulan wave ke atas berlaku, harga tidak boleh jatuh melepasi flat wave c dan iaitu tidak membuat new lower low. Untuk itu invalidation area adalah pada harga sekitar (520-500) sekiranya jatuh melepasi aras harga ini adalah baik untuk secure profit terlebih dahulu dengan melakukan cutloss. Sekiranya invalidation bocor counting jangkaan wave correction tamat perlu dilakukan semula. Projection harga jangkaan swing mengikut wave: TP 1 Harga dijangka akan mencari area 595-610 (area BO resistance) TP2 Harga seterusnya akan mencari area fibo 50%, 61.80% iaitu 650 dan 675 dan akan membuat pullback (untuk wave correction) TP 3 Harga dijangka membuat projection mencari area 710 dan seterusnya 765 Ini hanyalah jangkaan menggunakan fibonacci sahaja, ingin dimaklumkan harga bergerak secara zigzag dan akan sentiasa berlaku retracement pada timeframe kecil. Cadangan entry menggunakan MA5 & MA 20 Ingin dimaklumkan bahawa harga perlu melepasi 560 terlebih dahulu sebelum mencari area BO 595-610 Jika anda entry sekarang ada perlu menghadap rintangan di MA20 (Mid bollinger bands) dijangka pada 560 dan dynamic support anda adalah MA 5. Anda boleh right the trend selagi harga tidak bocor MA 5. Anda juga boleh tunggu MA5 cross up MA20 (golden cross) terlebih dahulu untuk entry dan menjadikan MA20 sebagai support dan right the trend selagimana tidak bocor MA20 Jangan lupa untuk mengira risk & reward anda sebelum memasuki sesuatu kaunter. Sekadar kajian dan catatan journal pembelajaran elliot wave & chart pattern saya sahaja. Saya dalam proses pembelajaran tidak sekali membuat buycall. Untung rugi masuk keluar seseuatu kaunter adalah tanggungjawab anda! #tayor
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prestar-apakah anda melihat apa yang saya lihat ?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 -secara TA nya kita boleh simpulkan yang ianya berkemungkinan membuat membuat kenaikan jika dapat breakout & kekal seperti di carta 1 .chart pattern seolah sudah mem complete kan inverted h&s nya dan adakah berpontensi ke utara ? 2.konter ini juga sempat membuat consolidation setelah terbentuk pattern tersebut ( adakah akan membuat strong bullish ?) 3.sepatutnya ini pertanda sangat baik kecuali tiba tiba ada usaha untuk berubah arah sebaliknya 4. dari FAnya pula , konter agak baik kerana berjaya mengekalkan prestasinya baiknya 10 tahun berturut2 5.untuk rekod yang terkini membuat : Revenue ↑ 41.2% Profit ↑ 111.8% YoY +113% QoQ +39.1% dy PE 2.5 ROE 22 Margin 22.2% disaat company lain agak struggle di saat pandemik ini -tahniah untuk itu 6.trading plan harus ada sebelum membuat sebarang keputusan ~bolehlah kaji bersama. maklumat tambahan untuk TA ( carta daily/harian) ~macd: "upper dead cross " `RSI :37.79 `obv:menurun `bb :7.50 % (upper band,3 hari) begitulah dunia TA, perkara sama tetapi lihat berbeza2 . tiada yang betul atau salah kerana ianya belum berlaku
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BOKF: Mampukah Bertahan? BOK Financial Corporation dilihat bergerak dalam trend menaik sejak beberapa bulan dagangan yang lalu Jika diperhatikan carta pada selang masa harian, harga dilihat seakan membentuk corak carta 'Head & Shoulder' dengan bahu kedua dilihat terbentuk lebih rendah daripada bahu pertama Harga terkini dilihat berada berdekatan dengan sokongan RBS rintangan sebelum ini yang juga bertemu dengan sokongan trend menaik jangka masa panjang Harga dikatakan masih cenderung membuat lantunan semula daripada sokongan selagimana ia belum memecahkan garisan menurun corak carta 'Head & Shoulder' Perlu juga diambil kira bahawa garisan sokongan RBS dan trend menaik juga dilihat bertemu dengan sokongan dinamik MA200 harian Petunjuk RSI harian bagaimanapun dilihat belum menunjukkan kehadiran momentum yang kuat Sama-sama kita perhatikan Penafian: *Ini bukanlah saranan belian atau jualan sebaliknya hanyalah kajian semata-mata. Trade at your own risk (TAYOR) *Penulis tidak bertanggungjawab atas segala keuntungan / kerugian yang diraih oleh mana-mana individu atau entiti *Jangan lupa ketik butang suka sekiranya kajian ini membantu anda. Terima Kasih!
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Hubungkait pasaran KLCI semasa dan pada tahun 2008.Untuk kita faham apa yang berlaku dalam keadaan semasa dan apa kemungkinan yang bakal berlaku seterusnya, kita perlu lihat kembali apa yang pernah berlaku sebelumnya. (To understand the future, we have to go back in time.) Kita ambil contoh krisis ekonomi yang berlaku pada tahun 2008. Kalau dilihat daripada relationship daripada market yang lain; 6 bulan sebelum masuk tahun 2008. Gold & komoditi yang bullish memberi kesan bearish kepada USD. Serta mengakhirkan US stock market yang telah lama berada dalam keadaan bullish & sentiasa melakukan new high. KLCI juga kalau dilihat boleh dikatakan terkena tempias(dalam tempoh 6bulan sebelum 2008) dengan melakukan terjunan melebihi 200pts diikuti last momentum bullish sebelum melakukan correction almost 700pts sepanjang 2008. Kalau dilihat daripada keadaan market semasa, seperti ada sign yang sama. 6 bulan sebelum tahun 2008, market dah start react memberikan sign dengan lebih awal. Ofcourse pada masa tu yang paling terkesan adalah mereka yang gagal mengawal risiko. Prestasi masa lalu tidak semestinya menentukan prestasi akan datang. Tapi… history juga selalunya akan repeat itself. Hati2 ketika trade.
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Lihat semua idea pembelajaran 

Skrip Pine

Bjorgum Double Tap█   OVERVIEW Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns. █   CONCEPTS How Is A Pattern Defined? Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a ​pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern. Pattern Recognition Patterns are recognized through the use of ​zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, ​support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described. █   STRATEGY RESULTS Back Testing Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them. 👉  In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication. Repainting Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only. 👉  It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled. █   EXIT ORDERS Limit and Stop Orders By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height. Trailing Stops Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety. 👉  It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only. █   ALERTS Five Built-in 3rd Party Destinations The following are five options for delivering alerts from Double Tap to live trade execution via third party ​API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades. Custom JSON JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange ​API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server. Below is an example of a rendered JSON alert: { "passphrase": "1234", "time": "2022-05-01T17:50:05Z", "ticker": "ETHUSDTPERP", "plot": { "stop_price": 2600.15, "limit_price": 3100.45 }, "strategy": { "position_size": 0.1, "order_action": "buy", "market_position": "long", "market_position_size": 0, "prev_market_position": "flat", "prev_market_position_size": 0 } } Trading Connector Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert. Alertatron Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your ​API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts. 3 Commas 3 Commas is an easy and quick to use click-and-go third party crypto ​API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window. Discord Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts. 👉  For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider. █   IMPORTANT NOTES Setting Alerts For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert. {{strategy.order.alert_message}} This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu. Order Sizing and Commissions The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well. 👉  It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert. █   FOR PINECODERS  • With the recent introduction of matrices in Pine, the script utilizes a matrix to track ​pivot points with the bars they occurred on, while tracking if that ​pivot has been traded against to prevent duplicate detections after a trade is exited.  • Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.  • New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
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Strategi Skrip Pine™
34
Fourier Extrapolator of Price w/ Projection Forecast [Loxx]Due to popular demand, I'm pusblishing Fourier Extrapolator of Price w/ Projection Forecast.. As stated in it's twin indicator, this one is also multi-harmonic (or multi-tone) trigonometric model of a price series xi, i=1..n, is given by: xi = m + Sum( a*Cos(w*i) + b*Sin(w*i), h=1..H ) Where: xi - past price at i-th bar, total n past prices; m - bias; a and b - scaling coefficients of harmonics; w - frequency of a harmonic ; h - harmonic number; H - total number of fitted harmonics. Fitting this model means finding m, a, b, and w that make the modeled values to be close to real values. Finding the harmonic frequencies w is the most difficult part of fitting a trigonometric model. In the case of a Fourier series, these frequencies are set at 2*pi*h/n. But, the Fourier series extrapolation means simply repeating the n past prices into the future. This indicator uses the Quinn-Fernandes algorithm to find the harmonic frequencies. It fits harmonics of the trigonometric series one by one until the specified total number of harmonics H is reached. After fitting a new harmonic , the coded algorithm computes the residue between the updated model and the real values and fits a new harmonic to the residue. see here: A Fast Efficient Technique for the Estimation of Frequency , B. G. Quinn and J. M. Fernandes, Biometrika, Vol. 78, No. 3 (Sep., 1991), pp . 489-497 (9 pages) Published By: Oxford University Press The indicator has the following input parameters: src - input source npast - number of past bars, to which trigonometric series is fitted; Nfut - number of predicted future bars; nharm - total number of harmonics in model; frqtol - tolerance of frequency calculations. The indicator plots two curves: the green/red curve indicates modeled past values and the yellow/fuchsia curve indicates the modeled future values. The purpose of this indicator is to showcase the Fourier Extrapolator method to be used in future indicators.
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Penunjuk Skrip Pine™
28
VisibleChart█   OVERVIEW This library is a Pine programmer’s tool containing functions that return values calculated from the range of visible bars on the chart. This is now possible in Pine Script™ thanks to the recently-released chart.left_visible_bar_time and chart.right_visible_bar_time built-ins, which return the opening time of the leftmost and rightmost bars on the chart. These values update as traders scroll or zoom their charts, which gives way to a class of indicators that can dynamically recalculate and draw visuals on visible bars only, as users scroll or zoom their charts. We hope this library's functions help you make the most of the world of possibilities these new built-ins provide for Pine scripts. For an example of a script using this library, have a look at the Chart ​VWAP indicator. █   CONCEPTS Chart properties The new chart.left_visible_bar_time and chart.right_visible_bar_time variables return the opening time of the leftmost and rightmost bars on the chart. They are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look up them up by typing "chart." in the Pine Script™ Reference Manual . Dynamic recalculation of scripts on visible bars Any script using chart.left_visible_bar_time or chart.right_visible_bar_time acquires a unique property, which triggers its recalculation when traders scroll or zoom their charts in such a way that the range of visible bars on the chart changes. This library's functions use the two recent built-ins to derive various values from the range of visible bars. Designing your scripts for dynamic recalculation For the library's functions to work correctly, they must be called on every bar. For reliable results, assign their results to global variables and then use the variables locally where needed — not the raw function calls. Some functions like `barIsVisible()` or `open()` will return a value starting on the leftmost visible bar. Others such as `high()` or `low()` will also return a value starting on the leftmost visible bar, but their correct value can only be known on the rightmost visible bar, after all visible bars have been analyzed by the script. You can plot values as the script executes on visible bars, but efficient code will, when possible, create resource-intensive labels, lines or tables only once in the global ​scope using var , and then use the setter functions to modify their properties on the last bar only. The example code included in this library uses this method. Keep in mind that when your script uses chart.left_visible_bar_time or chart.right_visible_bar_time , your script will recalculate on all bars each time the user scrolls or zooms their chart. To provide script users with the best experience you should strive to keep calculations to a minimum and use efficient code so that traders are not always waiting for your script to recalculate every time they scroll or zoom their chart. Another aspect to consider is the fact that the rightmost visible bar will not always be the last bar in the dataset. When script users scroll back in time, a large portion of the time series the script calculates on may be situated after the rightmost visible bar. We can never assume the rightmost visible bar is also the last bar of the time series. Use `barIsVisible()` to restrict calculations to visible bars, but also consider that your script can continue to execute past them. █   FUNCTIONS The library contains the following functions: barIsVisible()   Condition to determine if a given bar is within the users visible time range.   Returns: (bool) True if the the calling bar is between the `chart.left_visible_bar_time` and the `chart.right_visible_bar_time`. high()   Determines the value of the highest `high` in visible bars.   Returns: (float) The maximum high value of visible chart bars. highBarIndex()   Determines the `bar_index` of the highest `high` in visible bars.   Returns: (int) The `bar_index` of the `high()`. highBarTime()   Determines the bar time of the highest `high` in visible bars.   Returns: (int) The `time` of the `high()`. low()   Determines the value of the lowest `low` in visible bars.   Returns: (float) The minimum low value of visible chart bars. lowBarIndex()   Determines the `bar_index` of the lowest `low` in visible bars.   Returns: (int) The `bar_index` of the `low()`. lowBarTime()   Determines the bar time of the lowest `low` in visible bars.   Returns: (int) The `time` of the `low()`. open()   Determines the value of the opening price in the visible chart time range.   Returns: (float) The `open` of the leftmost visible chart bar. close()   Determines the value of the closing price in the visible chart time range.   Returns: (float) The `close` of the rightmost visible chart bar. leftBarIndex()   Determines the `bar_index` of the leftmost visible chart bar.   Returns: (int) A `bar_index`. rightBarIndex()   Determines the `bar_index` of the rightmost visible chart bar.   Returns: (int) A `bar_index` bars()   Determines the number of visible chart bars.   Returns: (int) The number of bars. volume()   Determines the sum of volume of all visible chart bars.   Returns: (float) The cumulative sum of volume. ohlcv()   Determines the open, high, low, close, and volume sum of the visible bar time range.   Returns: ( ) A tuple of the OHLCV values for the visible chart bars. Example: open is chart left, high is the highest visible high, etc. chartYPct(​pct)   Determines a price level as a percentage of the visible bar price range, which depends on the chart's top/bottom margins in "Settings/Appearance".   Parameters:      pct : (series float) Percentage of the visible price range (50 is 50%). Negative values are allowed.   Returns: (float) A price level equal to the `pct` of the price range between the high and low of visible chart bars. Example: 50 is halfway between the visible high and low. chartXTimePct(​pct)   Determines a time as a percentage of the visible bar time range.   Parameters:      pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed.   Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. chartXIndexPct(​pct)   Determines a `bar_index` as a percentage of the visible bar time range.   Parameters:      pct : (series float) Percentage of the visible time range (50 is 50%). Negative values are allowed.   Returns: (float) A time in UNIX format equal to the `pct` of the time range from the `chart.left_visible_bar_time` to the `chart.right_visible_bar_time`. Example: 50 is halfway from the leftmost visible bar to the rightmost. whenVisible(​src, whenCond, length)   Creates an array containing the `length` last `src` values where `whenCond` is true for visible chart bars.   Parameters:      src : (series int/float) The source of the values to be included.      whenCond : (series bool) The condition determining which values are included. Optional. The default is `true`.      length : (simple int) The number of last values to return. Optional. The default is all values.   Returns: (float ) The array ID of the accumulated `src` values. avg(​src)   Gathers values of the source over visible chart bars and averages them.   Parameters:      src : (series int/float) The source of the values to be averaged. Optional. Default is `close`.   Returns: (float) A cumulative average of values for the visible time range. median(​src)   Calculates the median of a source over visible chart bars.   Parameters:      src : (series int/float) The source of the values. Optional. Default is `close`.   Returns: (float) The median of the `src` for the visible time range. vVwap(​src)   Calculates a volume-weighted average for visible chart bars.   Parameters:      src : (series int/float) Source used for the ​VWAP calculation. Optional. Default is `hlc3`.   Returns: (float) The ​VWAP for the visible time range.
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Perpustakaan Skrip Pine™
25
Time█   OVERVIEW This library is a Pine Script™ programmer’s tool containing a variety of time related functions to calculate or measure time, or format time into string variables. █   CONCEPTS `formattedTime()`, `formattedDate()` and `formattedDay()` Pine Script™, like many other programming languages, uses timestamps in UNIX format, expressed as the number of milliseconds elapsed since 00:00:00 UTC, 1 January 1970. These three functions convert a UNIX timestamp to a formatted string for human consumption. These are examples of ways you can call the functions, and the ensuing results: CODE RESULT formattedTime(timenow) >>> "00:40:35" formattedTime(timenow, "short") >>> "12:40 AM" formattedTime(timenow, "full") >>> "12:40:35 AM ​UTC​" formattedTime(1000 * 60 * 60 * 3.5, "HH:mm") >>> "03:30" formattedDate(timenow, "short") >>> "4/30/22" formattedDate(timenow, "medium") >>> ​"Apr​ 30, 2022" formattedDate(timenow, "full") >>> "Saturday, April 30, 2022" formattedDay(timenow, "E") >>> "Sat" formattedDay(timenow, "dd.MM.yy") >>> "30.04.22" formattedDay(timenow, "yyyy.MM.dd G 'at' hh:mm:ss z") >>> "2022.04.30 AD at 12:40:35 UTC" These functions use str.format() and some of the special formatting codes it allows for. Pine Script™ documentation does not yet contain complete specifications on these codes, but in the meantime you can find some information in the The Java™ Tutorials and in Java documentation of its MessageFormat class . Note that str.format() implements only a subset of the MessageFormat features in Java. `secondsSince()` The introduction of varip variables in Pine Script™ has made it possible to track the time for which a condition is true when a script is executing on a realtime bar. One obvious use case that comes to mind is to enable trades to exit only when the exit condition has been true for a period of time, whether that period is shorter that the chart's timeframe, or spans across multiple realtime bars. For more information on this function and varip please see our Using `varip` variables publication. `timeFrom( )` When plotting lines , boxes , and labels one often needs to calculate an offset for past or future end points relative to the time a condition or point occurs in history. Using xloc.bar_index is often the easiest solution, but some situations require the use of xloc.bar_time . We introduce `timeFrom()` to assist in calculating time-based offsets. The function calculates a timestamp using a negative (into the past) or positive (into the future) offset from the current bar's starting or closing time, or from the current time of day. The offset can be expressed in units of chart timeframe, or in seconds, minutes, hours, days, months or years. This function was ported from our Time Offset Calculation Framework . `formattedNoOfPeriods()` and `secondsToTfString()` Our final two offerings aim to confront two remaining issues: How much time is represented in a given timestamp? How can I produce a "simple string" timeframe usable with request.security() from a timeframe expressed in seconds? `formattedNoOfPeriods()` converts a time value in ​ms to a quantity of time units. This is useful for calculating a difference in time between 2 points and converting to a desired number of units of time. If no unit is supplied, the function automatically chooses a unit based on a predetermined time step. `secondsToTfString()` converts an input time in seconds to a target timeframe string in timeframe.period string format. This is useful for implementing stepped timeframes relative to the chart time, or calculating multiples of a given chart timeframe. Results from this function are in simple form, which means they are useable as `timeframe` arguments in functions like request.security() . █   NOTES Although the example code is commented in detail, the size of the library justifies some further explanation as many concepts are demonstrated. Key points are as follows:  • ​Pivot points are used to draw lines from. `timeFrom( )` calculates the length of the lines in the specified unit of time.   By default the script uses 20 units of the charts timeframe. Example: a 1hr chart has arrows 20 hours in length.  • At the point of the arrows `formattedNoOfPeriods()` calculates the line length in the specified unit of time from the input menu.   If “Use Input Time” is disabled, a unit of time is automatically assigned.  • At each ​pivot point a label with a formatted date or time is placed with one of the three formatting helper functions to display the time or date the ​pivot occurred.  • A label on the last bar showcases `secondsSince()` . The label goes through three stages of detection for a timed alert.   If the difference between the high and the open in ticks exceeds the input value, a timer starts and will turn the label red once the input time is exceeded to simulate a time-delayed alert.  • In the bottom right of the screen `secondsToTfString()` posts the chart timeframe in a table. This can be multiplied from the input menu. █   FUNCTIONS formattedTime(timeInMs, format)   Converts a UNIX timestamp (in milliseconds) to a formatted time string.   Parameters:      timeInMs : (series float) Timestamp to be formatted.      format : (series string) Format for the time. Optional. The default value is "HH:mm:ss".   Returns: (string) A string containing the formatted time. formattedDate(timeInMs, format)   Converts a UNIX timestamp (in milliseconds) to a formatted date string.   Parameters:      timeInMs : (series float) Timestamp to be formatted.      format : (series string) Format for the date. Optional. The default value is "yyyy-MM-dd".   Returns: (string) A string containing the formatted date. formattedDay(timeInMs, format)   Converts a UNIX timestamp (in milliseconds) to the name of the day of the week.   Parameters:      timeInMs : (series float) Timestamp to be formatted.      format : (series string) Format for the day of the week. Optional. The default value is "EEEE" (complete day name).   Returns: (string) A string containing the day of the week. secondsSince(cond, resetCond)   The duration in milliseconds that a condition has been true.   Parameters:      cond : (series bool) Condition to time.      resetCond : (series bool) When `true`, the duration resets.   Returns: The duration in seconds for which `cond` is continuously true. timeFrom(from, qty, units)   Calculates a +/- time offset in variable units from the current bar's time or from the current time.   Parameters:      from : (series string) Starting time from where the offset is calculated: "bar" to start from the bar's starting time, "close" to start from the bar's closing time, "now" to start from the current time.      qty : (series int) The +/- qty of units of offset required. A "series float" can be used but it will be cast to a "series int".      units : (series string) String containing one of the seven allowed time units: "chart" (chart's timeframe), "seconds", "minutes", "hours", "days", "months", "years".   Returns: (int) The resultant time offset `from` the `qty` of time in the specified `units`. formattedNoOfPeriods(​ms, unit)   Converts a time value in ​ms to a quantity of time units.   Parameters:      ms : (series int) Value of time to be formatted.      unit : (series string) The target unit of time measurement. Options are "seconds", "minutes", "hours", "days", "weeks", "months". If not used one will be automatically assigned.   Returns: (string) A formatted string from the number of `ms` in the specified `unit` of time measurement secondsToTfString(tfInSeconds, mult)   Convert an input time in seconds to target string TF in `timeframe.period` string format.   Parameters:      tfInSeconds : (simple int) a timeframe in seconds to convert to a string.      mult : (simple float) Multiple of `tfInSeconds` to be calculated. Optional. 1 (no multiplier) is default.   Returns: (string) The `tfInSeconds` in `timeframe.period` format usable with `request.security()`.
Pilihan Editor
Perpustakaan Skrip Pine™
25
Relative Bandwidth FilterThis is a very simple script which can be used as measure to define your trading zones based on volatility. Concept This script tries to identify the area of low and high volatility based on comparison between Bandwidth of higher length and ATR of lower length. Relative Bandwidth = Bandwidth / ATR Bandwidth can be based on either Bollinger Band, Keltner Channel or Donchian Channel. Length of the bandwidth need to be ideally higher. ATR is calculated using built in ATR method and ATR length need to be ideally lower than that used for calculating Bandwidth. Once we got Relative Bandwidth, the next step is to apply Bollinger Band on this to measure how relatively high/low this value is. Overall - If relative bandwidth is higher, then volatility is comparatively low. If relative bandwidth is lower, then volatility is comparatively high. Usage This can be used with your own strategy to filter out your non-trading zones based on volatility. Script plots a variable called "Signal" - which is not shown on chart pane. But, it is available in the data window. This can be used in another script as external input and apply logic. Signal values can be 1 : Allow only Long -1 : Allow only short 0 : Do not allow any trades 2 : Allow both Long and Short
Pilihan Editor
Penunjuk Skrip Pine™
18
Breakout Probability (Expo)█ Overview Breakout Probability is a valuable indicator that calculates the probability of a new high or low and displays it as a level with its percentage. The probability of a new high and low is backtested, and the results are shown in a table— a simple way to understand the next candle's likelihood of a new high or low. In addition, the indicator displays an additional four levels above and under the candle with the probability of hitting these levels. The indicator helps traders to understand the likelihood of the next candle's direction, which can be used to set your trading bias. █ Calculations The algorithm calculates all the green and red candles separately depending on whether the previous candle was red or green and assigns scores if one or more lines were reached. The algorithm then calculates how many candles reached those levels in history and displays it as a percentage value on each line. █ Example In this example, the previous candlestick was green; we can see that a new high has been hit 72.82% of the time and the low only 28.29%. In this case, a new high was made. █ Settings Percentage Step The space between the levels can be adjusted with a percentage step. 1% means that each level is located 1% above/under the previous one. Disable 0.00% values If a level got a 0% likelihood of being hit, the level is not displayed as default. Enable the option if you want to see all levels regardless of their values. Number of Lines Set the number of levels you want to display. Show Statistic Panel Enable this option if you want to display the backtest statistics for that a new high or low is made. (Only if the first levels have been reached or not) █ Any Alert function call An alert is sent on candle open, and you can select what should be included in the alert. You can enable the following options: Ticker ID Bias Probability percentage The first level high and low price █ How to use This indicator is a perfect tool for anyone that wants to understand the probability of a breakout and the likelihood that set levels are hit. The indicator can be used for setting a stop loss based on where the price is most likely not to reach. The indicator can help traders to set their bias based on probability. For example, look at the daily or a higher timeframe to get your trading bias, then go to a lower timeframe and look for setups in that direction. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pilihan Editor
Penunjuk Skrip Pine™
60
Point of Control V2 The genesis of this project was to create a POC library that would be available to deliver volume profile information via pine to other scripts of indicators and strategies. This is a republish of an invite only script to open access This is the indicator version of the library function. A few points of significance: - Allows the choice of reset of the study period, day/week or bars. This is simple enough to expand to other conditions - Bar count resets starting from the beginning of the data set (bar index =0) vs bars back from the end of the data set - A 'period' in this context is the time between resets - the start of the POC (eg. start of Day or Week) until it resets (for example at the beginning of a next day or week) - Automates the determination of the increment level rather than the user specifying ticks or price brackets - Does not allow for setting the # of rows and then calculating the implied price increment levels - When a period is complete it is often useful to look back at the POCs of historical periods, or extend them forward. - This script will find the historical POCs around the current price and display them rather than extend all the historical POC lines to the right - This script also looks across all the period POCs and identifies the master POC or what I call the Grand POC, and also the next 3 runner up POCs This indicator is also available as a library. BINANCE:BTCUSDT NSE:NIFTY OANDA:XAUUSD NASDAQ:AAPL TVC:USOIL
Pilihan Editor
Penunjuk Skrip Pine™
8
Andean OscillatorThe following script is an original creation originally posted on the blog section of the broker Alpaca. The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend. Settings Length : Determines the significance of the trends degree of variations measured by the indicator. Signal Length : Moving average period of the signal line. Usage The Andean Oscillator can return multiple information to the user, with its core interpretation revolving around the bull and bear components. A rising bull component (in green) indicates the presence of bullish price variations while a rising bear component (in red) indicates the presence of bearish price variations. When the bull component is over the bear component market is up-trending, and the user can expect new higher highs. When the bear component is over the bull component market is down-trending, and the user can expect new lower lows. The signal line (in orange) allows a more developed interpretation of the indicator and can be used in several ways. It is possible to use it to filter out potential false signals given by the crosses between the bullish and bearish components. As such the user might want to enter a position once the bullish or bearish component crosses over the signal line instead. Details Measuring the degree of variations of trends in the price by their direction (up-trend/down-trend) can be done in several way. The approach taken by the proposed indicator makes use of exponential envelopes and the naive computation of standard deviation. First, exponential envelopes are obtained from both the regular prices and squared prices, thus giving two upper extremities, and two lower extremities. The bullish component is obtained by first subtracting the upper extremity of the squared prices with the squared upper extremity of regular prices, the square root is then applied to this result. The bearish component is obtained in the same way, but makes use of the lower extremities of the exponential envelopes.
Pilihan Editor
Penunjuk Skrip Pine™
27
Auto Trendline Indicator (based on fractals)A tool that automatically draws out trend lines by connecting the most recent fractals. Description: The process of manual drawing out trend lines is highly subjective. Many times, we don’t trade what we see, but what we “want to see”. As a result, we draw lines pointing to the direction that we wishfully want price to move towards. While there are no right/wrong ways to draw trend lines, there are, however, systematic/unsystematic ways to draw trend lines. This tool will systematically draw out trend lines based on fractals. Additional feature: This tool will also plot out symbols (default symbol “X”) to signify points of crossings. This can be useful for traders considering to use trend lines as part of their trading strategies. Here is an interesting observation on the price actions of NASDAQ futures on a 5 second chart during regular trading hours on July 14, 2022. It’s a phenomenon. People like to see straight lines connecting HL/LH, etc., so it's possible for the market as a whole to psychologically react to these lines. However, it is important to note that is is impossible to predict the direction of price. In the case above, price could have tanked below auto-drawn trend line. Fractal based trend lines should only be taken as references and regarded as price levels. No studies have ever proven that the slope of trend lines can indicate price's future direction. More about fractals: To understand more about fractals: www.investopedia.com www.tradingview.com Contrary to what it sounds like, fractal in "technical analysis" does not refer to the recursive self-repeating patterns that appear in nature, such as the mesmerizing patterns found in snowflakes. The Fractal Markets Hypothesis claims that market prices exhibit fractal properties over time. Assuming this assertion to be true, then fractals can be used a tool to represent the chaotic movements of price is a simplified manner. The purpose of this exercise is to take a tool that is readily available (ie. in this case, TradingView’s built-in fractals tool), and to create a newer tool based on it. Parameters: Fractal period (denoted as ‘n’ in code): It is the number of bars bounding a high/low point that must be lower/higher than it, respectively, in order for fractal to be considered valid. Period ‘n’ can be adjusted in this tool. Traditionally, chartists pick the value of 5. The longer it is, the less noise seen on the chart, and the pivot point may also be exhibited in higher timeframes. The drawback is that it will increase the period of lag, and it will take more bars to confirm the printed fractal. Others: Intuitive parameters such as whether to draw historical trend lines, what color to use, which way to extend the lines, and whether or not to show points of crossings.
Pilihan Editor
Penunjuk Skrip Pine™
26

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