Jurik-moving-average-metastock

Jurik-moving-average-metastock

Online-trading-on-mobile-in-india
Hull-moving-average-forex-strategy
Moving-average-convergence-divergence-macd-pdf


Pindah-rata-rata-plot Trading-strategy-eve-online Option-flow-trading Rata-rata pergerakan Ko-200 hari Trading-card-game-online-for-free How-to-trade-options-and-puts

Ward Systems Group, Inc. quotLet sistem Anda mempelajari kebijaksanaan usia dan pengalaman dalam trading Indikator Lanjutan, Jaringan Syaraf Tiruan dan Add-on Pihak ke-3 Bawa sistem perdagangan Anda ke tingkat yang lain saat Anda membeli add-on yang memungkinkan Anda menerapkan segala hal mulai dari indikator yang canggih dan Arsitektur jaringan saraf canggih untuk analisis frekuensi dan fase John Ehlers MESA9 Sistem Penjaga Grup Add-on Adaptive Net Indicators - jaring saraf terutama disesuaikan dengan pengenalan pola, beberapa di antaranya secara otomatis memasukkan kelambatan input. Berguna untuk membangun rata-rata bergerak adaptif Anda sendiri. Adaptive Turboprop 2 - seperti jaring saraf di Prediction Wizard, tapi beroperasi seperti indikator dan secara otomatis melatih diri. Anda bisa mengoptimalkan ukuran set training, interval berjalan, jumlah neuron tersembunyi, dan bahkan periode lookahead. Indikator Lanjutan Set 1 - seperangkat indikator yang diminta pengguna termasuk indikator chaos, indikator yang memberi fase bulan, dan indikator trendline curvefitting. Indikator Lanjutan Set 2 - indikator pengguna kedua kami yang diminta meminta indikator termasuk indikator oleh Marc Chaikin dan J. Welles Wilder, Wavelets Haar Redundant, Indikator Bendera, Indikator Jumlah BarCondition, dan Indikator Miscellaneous Indikator Lanjutan Set 3 - seperangkat indikator eklektik yang berkembang Kemampuan NeuroShell Trader untuk menemukan nilai antara dua kondisi yang terpisah atau karena terjadinya suatu kondisi tunggal. Selain itu, Set 3 menambahkan kekuatan untuk menghitung, mengingat atau menonaktifkan nilai dan berdasarkan kondisi. Fungsi-fungsi ini melengkapi penekanan NeuroShell Traders pada membangun indikator dengan wizard daripada mengharuskan pengguna untuk menjadi programmer. Hasilnya adalah peningkatan kecepatan yang signifikan dalam membangun dan menguji sistem perdagangan. Indikator Cluster - seperti indikator saraf, ini memberi sinyal beli atau jual (kemungkinan bahwa masalah Anda adalah kesempatan membeli atau menjual), namun bekerja dengan cara clustering daripada menggunakan jaring saraf. Fuzzy Pattern Recognizer - Memungkinkan Anda menggambarkan pola di mana Anda tertarik, dan kemudian memberitahu Anda kapan pola ini muncul. Menggunakan logika fuzzy untuk menemukan pola, sehingga bisa memberi tahu Anda kapan sebuah pola seperti yang Anda cari. Fuzzy Sets - Dengan Fuzzy Sets pengguna dapat menginstruksikan NeuroShell dengan fungsi yang setara dengan pernyataan fuzzy seperti: Beli bila indikator Stochastic K sangat tinggi, dan Commodity Channel Index tinggi, dan spread antara dua moving averages rendah. Indikator Neural - klasifikasi jaring saraf yang memberi Anda kemungkinan bahwa situasi saat ini adalah kesempatan membeli atau menjual. Jaring ini tidak memprediksi harga apapun, mereka memberi Anda probabilitas sinyal langsung. Beberapa dari mereka adalah jala berulang yang secara otomatis melihat ke masa lalu. Pattern Matcher - seperangkat indikator berdasarkan konsep menemukan pola, dulu atau sekarang, dalam deret waktu, dan aktivitas selanjutnya yang terjadi setelahnya. Turning Points - seperangkat indikator berdasarkan konsep menemukan puncak dan lembah lokal dalam rangkaian harga. Indikator Pihak Ketiga Indikator Jurik JMA - Jurik Moving Average Filter eliminasi kebisingan kelas dunia untuk data harga pasar. Memungkinkan Anda melihat aktivitas yang mendasarinya tanpa jaggies. Memiliki lag sangat rendah, sangat halus dan sangat responsif terhadap kesenjangan harga pasar. Untuk detailnya, kunjungi jurikrescatalogmsama.htmtop VEL - Velocity Indicator Superior versi indikator momentum klasik. Memiliki lag sangat rendah. Tepat dan sangat halus. Bagus untuk analisis momentum harga momentum. Untuk rinciannya, kunjungi jurikrescatalogmsvel.htmtop CFB - Perilaku Fraktal Komposit Versi superior dari indikator ADX klasik. Mengukur durasi tren (bukan momentum), sehingga ideal untuk menyesuaikan secara adaptif kecepatan indikator teknis lainnya. Sangat peka terhadap kualitas tren pasar, sehingga berguna sebagai peringatan dini terhadap keruntuhan tren. Untuk rinciannya, kunjungi jurikrescatalogmscfb.htmtop RSX - Indeks Kualitas Kekuatan Relatif Versi superior dari indikator RSI klasik. Menggabungkan momentum pasar dan kualitas tren menjadi satu sinyal. Noise free Lihat grafik kanan atas jurikres untuk perbandingan yang jelas antara RSI dan RSX. Untuk informasi lebih lanjut, kunjungi jurikrescatalogmsrsx.htmtop Informasi Kontak: Informasi Kontak: Mesa Software, Inc (Terjual oleh Ward Systems Group, Inc) Produk: Analisis Cybernetik John Ehlers dan Ward Systems Group menciptakan indikator Analisis Cybernetik sebagai pendamping indikator Rinci dalam Johns buku yang sangat baik Analisis Cybernetic untuk Saham dan Futures, yang diterbitkan oleh John Wiley Sons (19 Maret 2004), ISBN: 0471463078. Add-on ini juga mencakup lebih dari 10 contoh bagan dan template Strategi Perdagangan tambahan. Buku Ehlers mengembangkan dan menunjukkan alat perdagangan baru yang efektif melalui penerapan teknik pemrosesan sinyal digital modern. Alat-alat ini telah terbukti secara real-time digunakan untuk secara konsisten memberi para pedagang sinyal jual beli tajam tajam di hampir semua pasar - pertemuan atau melebihi kinerja sistem komersial yang harganya ratusan atau bahkan ribuan dolar, menurut Ehlers. Modernizing prosedur perdagangan populer untuk mengambil keuntungan dari kecepatan komputasi yang luar biasa dan kekuatan yang tersedia untuk pedagang sekarang, Ehlers memperkenalkan: Fisher Transform --ensor bahwa fungsi kepadatan dari setiap indikator adalah Gaussian, menciptakan sinyal perdagangan yang lebih tajam Indeks Relatif Semangat - yang responsif Osilator di mana pergerakan dinormalisasi ke kisaran perdagangan masing-masing batang Peningkatan Hilbert Transform - metode yang lebih responsif untuk mengukur secara akurat siklus pasar Indikator Sinewave - filter non-kausal yang memberi sinyal masuk dan keluar 116 dari periode siklus di awal Dari titik balik The Laguerre Transform - alat baru untuk mengatasi masalah smoothing versus lag secara lebih efektif dan membuat filter smoothing yang lebih baik Filter Super Smoothing - memberikan lebih banyak perataan dengan sedikit lag Perhitungan Rata-Rata Bergerak Sederhana - dua cara baru untuk menghitung yang sederhana. Bergerak rata-rata dengan kemudahan yang belum pernah terjadi sebelumnya Kemajuan yang dibuat dalam teknologi komputer dalam dua dekade terakhir telah melampaui adva Nces dalam trading software and practice. Analisis Cybernetic untuk Saham dan Futures berusaha mengembalikan keseimbangan antara kekuatan komputasi dan kemampuan pengguna, menurut Ehlers. Menggabungkan indikator baru dengan sistem yang diuji untuk meramalkan pasar saham dan futures dengan presisi bedah, sistem ini akan membawa sistem Anda ke tingkat akurasi prediktif, keefektifan trading, dan profitabilitas yang baru. Pengguna NeuroShell Trader Professional dan DayTrader selanjutnya dapat meningkatkan kerja Ehlers dengan menggabungkan indikatornya dengan kekuatan pengoptimasi NeuroShell Trader untuk menghasilkan sistem perdagangan dengan keunggulan. The Cybernetic Analysis add-on tersedia sekarang dan biaya 399 oleh download Internet. Meskipun ada file bantuan dengan add-on untuk membantu mekanik, add-on adalah pendamping buku ini, dan teori dan penggunaan indikator hanya dijelaskan di buku ini. Anda tidak boleh membeli add-on tanpa membeli buku, yang pada penulisan ini didiskontokan 32 sampai 54.37 di Amazon. Add-on Analisis Cybernetic berisi indikator berikut dari buku: Harga - mengembalikan rata-rata nilai tinggi dan rendah untuk bilah. Ehlers menggunakan nilai ini di sebagian besar indikatornya saat dia mengacu pada arus data harga. Cyber1FisherTransform - Ehlers menggambarkan Fisher Transform sebagai proses matematis yang mengubah kumpulan data menjadi satu dengan Gaussian Probability Density Function (PDF). Indikator ini dijelaskan pada Bab 1. Ini dapat dikombinasikan dengan indikator FisherTransformTrigger untuk membuat sistem perdagangan. Cyber1FisherTransformTrigger - Indikator FisherTransformTrigger dibuat dengan menunda indikator FisherTransform satu bar. Indikator FisherTransformTrigger dapat dikombinasikan dengan indikator Fisher Transform untuk membuat sistem perdagangan. Cyber3ITrend - Ini adalah indikator Trendline Seketika yang dijelaskan di Bab 3. Menurut Ehlers, memiliki Trendline sesaat dengan nol lag adalah awal yang baik untuk menghasilkan sistem mengikuti tren responsif. Indikator ini dapat digunakan dengan indikator Cyber3ITrendTrigger untuk membuat sistem perdagangan. Cyber3ITrendTrigger - Ini adalah Pemicu Trendline Seketika yang dijelaskan di Bab 3. Ini adalah indikator utama yang diciptakan dengan menambahkan momentum dua hari Trendline sesaat ke Trendline Seketika itu sendiri. Indikator ini bisa digunakan dengan indikator Cyber3ITrend untuk membuat sistem perdagangan. Untuk memasukkan harga batas untuk kondisi crossover ITrend dan tidak ada batas untuk kondisi darurat yang menggunakan RevPct (Reverse Persentase), add-on ini berisi tiga indikator tambahan yang tidak termasuk dalam buku Ehlers. Strategi Perdagangan Ehlers dibangun ke dalam indikator berikut: Cyber3TSLimit - Cyber3TSLimit digunakan bersamaan dengan Cyber3TSPosition dan Cyber ​​3TSSignal. Cyber3TSPosition - Cyber3TSPosition digunakan bersamaan dengan Cyber3TSLimit dan Cyber ​​3TSSignal. Cyber3TSSignal - Cyber3TSSignal digunakan bersamaan dengan Cyber3TSPosition dan Cyber ​​3TSLimit. Cyber4Cycle - Ini adalah indikator Cyber ​​Cycle yang dijelaskan pada Bab 4. Ini adalah indikator yang mengisolasi siklus data dengan smoothing tambahan. Ini bisa digunakan dengan indikator Cyber4CycleTrigger untuk membuat sistem perdagangan. Cyber4CycleTrigger - Ini adalah indikator Cyber ​​Cycle Trigger yang dijelaskan di Bab 4. Indikator Pemicu dibuat dengan menunda indikator Cyber ​​Cycle oleh satu bar. Ini bisa digunakan dengan indikator Cyber4Cycle untuk membuat sistem perdagangan. Cyber5CG - Ini adalah indikator osilator Center of Gravity (CG) yang dijelaskan pada Bab 5. Ehlers menggambarkan indikator zero lag yang merapikan ini berguna untuk mengidentifikasi titik balik. Ini bisa dikombinasikan dengan indikator Cyber5CGTrigger untuk menciptakan sistem perdagangan. Cyber5CGTrigger - Ini adalah indikator osilator Pemicu Gravity Trigger (CG Trigger) yang dijelaskan pada Bab 5. Indikator Pemicu dibuat dengan menunda indikator Center of Gravity oleh satu bar. Ini bisa digabungkan dengan indikator Cyber5CG untuk menciptakan sistem perdagangan. Cyber6RVI - Ini adalah indikator Relative Vigor Index (RVI) yang dijelaskan di Bab 6. Indikator ini mengukur kekuatan naik turun dari pasar yang dinormalisasi ke kisaran perdagangan. Ini bisa digabungkan dengan Cyber6RVITrigger untuk membuat sistem perdagangan. Cyber6RVITrigger - Ini adalah Indikator Pemicu Indeks Semangat Religi (RVI Trigger) yang dijelaskan di Bab 6. Indikator Pemicu dibuat dengan menunda indikator Indeks Relatif Semangat dengan satu baris. Ini bisa digabungkan dengan Cyber6RVI untuk menciptakan sistem perdagangan. Cyber8StochasticRSI - Ini adalah indikator StochasticRSI yang dijelaskan di Bab 8. Indikator ini adalah rasio harga naik dibandingkan dengan jumlah harga naik dan turun, dan bagian stokastik terlihat pada harga tertinggi dan terendah selama periode yang sama. Ini dapat dikombinasikan dengan indikator Cyber8StochasticRSITrigger untuk membuat sistem perdagangan. Cyber8StochasticRSITrigger - Ini adalah indikator StochasticRSI Trigger yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator StochasticRSI satu bar. Ini bisa dikombinasikan dengan indikator Cyber8StochasticRSI untuk menciptakan sistem perdagangan. Cyber8StochasticCycle - Ini adalah indikator Stochastic Cyber ​​Cycle yang dijelaskan pada Bab 8. Ini menambahkan komponen stokastik untuk memeriksa level tertinggi dan terendah pada indikator Cyber ​​Cycle dari Bab 4. Ini dapat digabungkan dengan indikator Cyber8StochasticCycleTrigger untuk menciptakan sistem perdagangan. Cyber8StochasticCycleTrigger - Ini adalah indikator Stochastic Cyber ​​Cycle Trigger yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator StochasticCycle oleh satu bar. Ini dapat dikombinasikan dengan indikator Cyber8StochasticCycle untuk menciptakan sistem perdagangan. Cyber8 StochasticCG - Ini adalah indikator Stochastic Center of Gravity (CG) yang dijelaskan pada Bab 8. Ini menambahkan komponen stokastik untuk memeriksa tingkat tinggi dan rendah indikator Center of Gravity dari Bab 5. Ini dapat dikombinasikan dengan indikator Cyber8StochasticCGTrigger untuk membuat Sebuah sistem perdagangan Cyber8StochasticCGTrigger - Ini adalah indikator Stochastic Center of Gravity Trigger (CG Trigger) yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator StochasticCG satu bar. Ini bisa dikombinasikan dengan indikator Cyber8StochasticCG untuk menciptakan sistem perdagangan. Cyber8StochasticRVI - Ini adalah indikator Stochastic Relative Vigor Index (RVI) yang dijelaskan pada Bab 8. Ini menambahkan komponen stokastik untuk memeriksa tingkat tinggi dan rendah pada Indeks Semangat Relatif dari Bab 6. Hal ini dapat dikombinasikan dengan indikator Cyber8StochasticRVITrigger untuk menciptakan sebuah perdagangan. sistem. Cyber8StochasticRVITrigger - Ini adalah indikator Stochastic Relative Vigor Index Trigger (RVI Trigger) yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator StochasticRVI oleh satu bar. Ini bisa dikombinasikan dengan indikator Cyber8StochasticRVI untuk menciptakan sistem perdagangan. Cyber8FisherCycle - Ini adalah indikator Fisher Cyber ​​Cycle yang dijelaskan pada Bab 8. Ehlers menambahkan indikator Fisher Transform ke Cyber ​​Cycle dari Bab 4 untuk menghasilkan sinyal masuk dan keluar yang lebih tajam dan lebih jelas. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherCycleTrigger untuk membuat sistem perdagangan. Cyber8FisherCycleTrigger - Ini adalah indikator Fisher Cyber ​​Cycle Trigger yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator Fisher Cycle oleh satu bar. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherCycle untuk membuat sistem perdagangan. Cyber8FisherCG - Ini adalah indikator Fisher Stochastic CG yang dijelaskan pada Bab 8. Ehlers menambahkan indikator Fisher Transform ke Center of Gravity dari Bab 5 untuk menghasilkan sinyal masuk dan keluar yang lebih tajam dan lebih jelas. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherCGTrigger untuk membuat sistem perdagangan. Cyber8FisherCGTrigger - Ini adalah indikator Fisher Stochastic CG Trigger yang dijelaskan di Bab 8. Indikator Pemicu dibuat dengan menunda indikator Fisher Stochastic CG dengan satu batang. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherCG untuk membuat sistem perdagangan. Cyber8FisherRVI - Ini adalah indikator Fisher Stochastic Relative Vigor Index (Fisher RVI) yang dijelaskan pada Bab 8. Ehlers menambahkan indikator Fisher Transform ke indikator Vigor Index dari Bab 6 untuk menghasilkan sinyal masuk dan keluar yang lebih tajam dan lebih jelas. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherRVITrigger untuk membuat sistem perdagangan. Cyber8FisherRVITrigger - Ini adalah indikator Fisher Stochastic Relative Vigor Index Trigger (Fisher RVI Trigger) yang dijelaskan pada Bab 8. Indikator Pemicu dibuat dengan menunda indikator Fisher Stochastic RVI satu bar. Indikator ini dapat dikombinasikan dengan indikator Cyber8FisherRVI untuk membuat sistem perdagangan. Cyber9Period - Ini adalah indikator Periode Siklus yang dijelaskan di Bab 9. Ini dapat digunakan untuk mengukur periode Siklus Dominan. Cyber10AdaptiveCycle - Ini adalah indikator Adaptive Cyber ​​Cycle yang dijelaskan di Bab 10. Indikator ini memungkinkan indikator Cyber ​​Cycle dari Bab 4 untuk disesuaikan dengan periode Siklus Dominan yang terukur. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveCycleTrigger untuk membuat sistem perdagangan. Cyber10AdaptiveCycleTrigger - Ini adalah indikator Adaptive Cyber ​​Cycle yang dijelaskan di Bab 10. Indikator Pemicu dibuat dengan menunda indikator Adaptive Cyber ​​Cycle oleh satu bar. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveCycle untuk membuat sistem perdagangan. Cyber10AdaptiveCG - Ini adalah indikator Adaptive Center of Gravity (CG) yang dijelaskan pada Bab 10. Indikator ini memungkinkan indikator Center of Gravity dari Bab 5 untuk disesuaikan dengan periode Siklus Dominan yang terukur. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveCGTrigger untuk membuat sistem perdagangan. Cyber10AdaptiveCGTrigger - Ini adalah indikator Adaptive dari indikator Gravity Trigger (Adaptive CG Trigger) yang dijelaskan di Bab 10. Indikator Pemicu dibuat dengan menunda indikator Adaptive CG oleh satu bar. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveCG untuk membuat sistem perdagangan. Cyber10AdaptiveRVI - Ini adalah indikator Adaptive Relative Vigor Index (Adaptive RVI) yang dijelaskan di Bab 10. Indikator ini memungkinkan Indeks Semangat Relatif dari Bab 6 disesuaikan dengan periode Siklus Dominan yang terukur. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveRVITrigger untuk membuat sistem perdagangan. Cyber10AdaptiveRVITrigger - Ini adalah indikator Adaptive Relative Vigor Index Trigger (Adaptive RVI Trigger) yang dijelaskan di Bab 10. Indikator Pemicu dibuat dengan menunda indikator Adaptive Relative Vigor Index oleh satu bar. Indikator ini dapat dikombinasikan dengan indikator Cyber10AdaptiveRVI untuk membuat sistem perdagangan. Cyber11Sine - Ini adalah indikator Sinewave yang dijelaskan di Bab 11. Indikator ini dapat digunakan untuk memprediksi titik balik siklus pasar. Ini diplot sebagai sinus dari sudut fase Siklus yang Dominan. Ini dapat digunakan bersamaan dengan indikator Cyber11LeadSine untuk membuat Strategi Perdagangan. Cyber11LeadSine - Ini indikator LeadSine yang dijelaskan di Bab 11. Ini diplot sebagai sinus sudut fase Siklus Dominikan ditambah 45. Ini dapat digunakan bersamaan dengan indikator Cyber11Sine untuk menciptakan Strategi Perdagangan. Momentum Cyber12Adaptive - Ini adalah indikator Momentum Adaptif Bergelombang yang dijelaskan pada Bab 12. Indikator ini mengukur periode Siklus Dominan dan menggunakan pengukuran tersebut untuk menghitung momentum satu siklus. Cyber132PoleButterworth - Ini adalah Filter Dua Kutub Butterworth yang dijelaskan pada Bab 13. Ehlers mengenalkan filter Butterworth sebagai filter yang lebih baik daripada rata-rata bergerak eksponensial. Cyber133PoleButterworth - Ini adalah Filter Tiga Kutub Butterworth yang dijelaskan pada Bab 13. Dibandingkan dengan Filter Dua Kutub Butterworth, yang satu ini meningkatkan ketajaman penolakan filter. Cyber132PoleSuperSmoother - Ini adalah Two Pole Super Smoother yang dijelaskan di Bab 13. Filter ini memiliki lag kurang dari 2PoleButterworthFilter. Cyber133PoleSuperSmoother - Ini adalah Dual Pole Super Smoother yang dijelaskan pada Bab 13. Dibandingkan dengan Two Pole Super Smoother, yang satu ini meningkatkan ketajaman penolakan filter. Cyber14LaguerreFilter - Ini adalah Filter Laguerre yang dijelaskan pada Bab 14. Ehlers menggambarkan filter ini sebagai keseimbangan antara menghaluskan sinyal dan lag agar tidak terjadi perdagangan whipsaw. Cyber14LaguerreRSI - Ini adalah Indikator Tingkat Kekuatan Laguerre Relatif (RSI) yang dijelaskan di Bab 14. Ehlers menunjukkan bahwa Anda dapat menerapkan Filter Laguerre ke indikator yang tidak asing lagi. Cyber16NetLead - Ini adalah indikator utama yang disebut NetLead yang dijelaskan di Bab 16. Indikator ini menggabungkan indikator utama dengan rata-rata pergerakan eksponensial untuk ditunjukkan saat pasar berada dalam tren naik atau tren turun. CyberCycleInverseFisher - Ini adalah indikator Inverse Fisher Transform yang dijelaskan dalam artikel Ehlers dengan nama yang sama yang muncul di majalah Technical Analysis of STOCKS and COMMODITIES edisi Mei 2004. Dia menggambarkan indikator ini sebagai osilator yang menghasilkan sinyal beli dan jual yang jelas. Berikut adalah grafik Contoh NeuroShell Trader yang disertakan dengan add-on Analisis Cybernetic: Contoh Bab 3 Tidak Ada Batas Diagram ini menghasilkan Strategi Perdagangan berdasarkan pada crossover indikator ITrend dan ITrend Trigger dari Bab 3. Contoh Bab 3 Batas ITrend Intel Ini Bagan membangun Strategi Perdagangan berdasarkan pada crossover indikator ITrend dan ITrend Trigger dari Bab 3. Bagan ini mencakup harga batas untuk kondisi crossover. Contoh Bab 4 Siklus Cyber ​​Diagram ini menggunakan crossover indikator yang diberi nama Sinyal untuk menghasilkan sinyal perdagangan. Contoh Bab 4 Cyber ​​Cycle Opt HD Diagram ini menggunakan crossover dari sebuah indikator bernama Signal untuk menghasilkan sinyal trading. Bagan ini dioptimalkan pada Home Depot (HD). Hasil ditingkatkan dari grafik yang tidak dioptimalkan bernama Bab 4 Cyber ​​Cycle. Contoh Bab 4 Keunggulan Cycle Cyber ​​Intel Chart ini menggunakan crossover sebuah indikator bernama Signal untuk menghasilkan sinyal trading. Bagan ini dioptimalkan untuk Intel dan mencakup periode evaluasi 6 bulan dalam Strategi Perdagangan. Contoh Bab 4 Siklus Cyber ​​Opt Deere Bagan ini menggunakan crossover indikator yang diberi nama Sinyal untuk menghasilkan sinyal perdagangan. Bagan ini dioptimalkan untuk Deere dan mencakup periode evaluasi 6 bulan dalam Strategi Perdagangan. Contoh Bab 10 Adaptive RVI Diagram ini membangun Strategi Perdagangan dengan menggunakan crossover Adaptive RVI dan Adaptive RVI Trigger. Ini khas dari banyak Strategi Perdagangan yang dibangun oleh Ehlers dengan indikator yang dijelaskan dalam buku ini. Contoh Bab 10 Adaptive RVI Opt Bagan ini membangun Strategi Perdagangan dengan menggunakan crossover Adaptive RVI dan Adaptive RVI Trigger. Versi Bab 10 bagan Adaptif RVI yang dioptimalkan ini menghasilkan lebih banyak keuntungan daripada yang asli. Contoh Bab 12 Trend Adaptif Bagan ini membangun Strategi Perdagangan untuk Franc Swiss dengan menggunakan indikator indikator Adaptive Momentum dan 0. Contoh Bab 12 Adaptive Trend Opt SF Bagan ini membangun Strategi Perdagangan untuk Franc Swiss dengan menggunakan crossover of the Indikator Momentum Adaptif. Bagan ini dioptimalkan untuk meningkatkan keuntungan. Contoh Bab 12 Trend Adaptif Beberapa Saham Opt Chart ini membangun Strategi Perdagangan untuk beberapa saham dengan menggunakan crossover indikator Momentum Adaptif. Bagan ini dioptimalkan untuk meningkatkan keuntungan. Contoh Bab 12 Adaptive Trend Opt Dell Diagram ini membangun Strategi Perdagangan untuk Dell dengan menggunakan crossover indikator Momentum Adaptif. Bagan ini dioptimalkan untuk meningkatkan keuntungan. Untuk lebih jelasnya, silakan lihat manual produk untuk pengaya ini MESA91 - Mesa Software, Inc. John Ehlers sekali lagi telah memecahkan masalah baru dengan menerapkan metode ilmiah untuk memasarkan data dengan melepaskan indikator MESA91 untuk NeuroShell Trader. Indikator MESA91 mengukur apakah pasar berada dalam mode siklus atau tren dan memberikan sinyal perdagangan yang tepat untuk kedua situasi tersebut. Versi baru ini mencakup metode adaptif untuk mengekstrak siklus dominan untuk setiap instrumen dan indikator EvenBetterSine yang dapat meramalkan tren pasar hanya dalam setengah periode siklus dominan. Setiap indikator sekarang mencakup parameter untuk menetapkan Periode Terendah dan Tertinggi dari siklus, dan parameter ini dapat dioptimalkan pada Pedagang NeuroShell. Ehlers adalah pakar terkenal dunia dalam menerapkan prinsip-prinsip ilmiah dan teknologi pemrosesan sinyal digital DSP (Digital Signal Processing) untuk seni perdagangan teknis. Menurut Ehlers, model pasar yang disederhanakan terdiri dari kombinasi tren dan siklus. Karena periode siklus sudah diketahui, maka bisa dikeluarkan dari data untuk mengekspos tren yang mendasarinya. Pasar paling baik diperdagangkan menggunakan indikator tipe osilator saat berada dalam mode siklus dan paling baik diperdagangkan menggunakan indikator tipe rata-rata bergerak saat berada dalam mode tren. Koleksi indikator MESA91 tidak hanya disesuaikan secara dinamis oleh siklus yang dominan, namun teknik DSP yang canggih digunakan untuk menghasilkan sinyal lag dan non-kausal yang rendah pada waktunya untuk memberi pengguna keuntungan perdagangan. Add-on MESA91 adalah proyek gabungan antara Mesa Software, Inc. dan Ward Systems Group, Inc. Mesa mengembangkan teori dan pemrograman dan Ward Systems menjual add-on untuk digunakan dengan NeuroShell Trader. MESA91 mewajibkan rilis NeuroShell Trader 6.3. Harganya 499.00. MESA91 semudah digunakan sebagai indikator yang ada dalam NeuroShell Trader. MESA91 Adaptive CCI, RSI dan Stokastik MESA91AdaptiveCCI serupa dengan Indikator konvensional mereka kecuali disesuaikan dengan periode Siklus Dominan yang terukur MESA. Hal yang sama berlaku untuk indikator stochastic Adaptif RSI dan Adaptif MESA91 yang disertakan dalam rangkaian. MESA91 Bandpass Indikator MESA91Bandpass adalah filter bandpass yang disesuaikan dengan Siklus Dominan yang terukur MESA. Amplitudonya diplot untuk mencerminkan ayunan siklik dari rangkaian waktu masukan. Filter MESA91Bandpass menghilangkan komponen frekuensi rendah dan frekuensi tinggi dari rangkaian waktu masukan. Parameter Delta adalah bandwidth filter bandpass dalam hal - fraksi dari Siklus Dominan. Jumlah yang lebih kecil memberi bandwidth yang lebih sempit untuk menghilangkan komponen siklus yang tidak ada dan jumlah yang lebih besar memberi bandwidth lebih lebar untuk meningkatkan responsivitas terhadap transien. MESA91 BandStop Indikator MESA91BandStop menghilangkan komponen Siklus Dominan dari deret waktu sambil mempertahankan komponen siklik yang lebih panjang dan lebih pendek dari pada Siklus Dominan. MESA91 Detrend Indikator MESA91Detrend mengurangi garis tren dari deret waktu dan menampilkan selisih yang diskala ke nilai plus dan minus satu standar deviasi dari garis tren tersebut. Tampilan ini memungkinkan perkiraan mudah saat puncak ayunan atau lembah tercapai dan oleh karena itu probabilitas pengembalian yang lebih tinggi terhadap mean. MESA91 Dominant Cycle Indikator ini menampilkan Siklus Dominan yang terukur MESA. Siklus yang dominan dapat digunakan untuk secara dinamis menyesuaikan indikator lain untuk menjaga konsistensi dengan perubahan kondisi pasar. MESA91 Sine and LeadSine Masalah dengan hampir semua indikator adalah bahwa hal itu kausal. Itu berarti mereka secara langsung bergantung pada data untuk perhitungan mereka. Akibatnya, perhitungan tidak dapat diselesaikan sampai setelah data tiba, dan - sebagai hasilnya - semua indikator kausal memiliki lag. Lag mungkin adalah musuh terburuk bagi para pedagang, terutama saat memperdagangkan mode siklus saat entri jangka pendek dan keluar relatif cepat. MESA91 menawarkan solusi untuk masalah lag dengan menawarkan indikator MESA91Sine dan MESA91LeadSine. Pasar koheren dalam mode siklus, yang berarti bahwa Siklus Dominan telah ada dalam waktu singkat dalam sejarah. Selanjutnya diasumsikan bahwa siklus dominan akan berlanjut dalam waktu singkat ke masa depan. Karena siklus dominan diketahui, dan fasanya dapat dihitung, kita dapat memajukan waktu dengan memajukan fase siklus dominan yang koheren. Indikator MESA91LeadSine dihitung hanya dengan memajukan fase siklus dominan sebesar 45 derajat. Ini menciptakan sebuah indikator yang menghasilkan sinyal penyeberangan (18) dari sebuah siklus di depan titik baliknya, yang ditunjukkan oleh Indikator MESA91Sine. Untuk siklus 16 bar, persimpangan terjadi 2 bar di depan titik balik siklik - tepat untuk membuat entri perdagangan yang tepat waktu. Jelas, indikator MESA91Sine dan MESA91LeadSine tidak berjalan dengan baik saat pasar dalam mode tren. MESA91 EvenBetterSine Indikator MESA91EvenBetterSince dapat meramalkan tren pasar dan hanya dalam setengah periode siklus dominan, dibandingkan dengan indikator Sine, yang membutuhkan siklus dominan penuh sebelum dapat menentukan tren pasar. Indikator Sine asli mengkorelasikan sinewave murni dengan fase siklus masukan (atau siklus dominan dalam MESA91) selama periode siklus penuh. Ini benar-benar menghilangkan komponen tren dan hanya memberikan siklus yang melekat pada data. Kerugian dari indikator ini adalah bahwa kadang-kadang ayunan siklik sangat kecil sehingga data siklus yang dominan tidak penting. Hal ini terutama berlaku bila pasar sedang dalam tren. Di sisi lain, EvenBetterSine menghubungkan data dengan sinewave selama periode HALF dari siklus dominan. MESA91 Smooth MESA91Smooth adalah adaptive 2 Pole Super Smoother Filter yang disetel ke sebagian kecil dari Siklus Dominan yang terukur MESA. Tingkat perataan diubah oleh parameter masukan Mult, yang merupakan fraksi dari Siklus Dominan yang disaring oleh filter. MESA91 SNR (Rasio Sinyal terhadap Noise) MESA91SNR mengukur Rasio Signal-to-Noise pada data harga dalam desibel. Kebisingan adalah kisaran harga harian rata-rata (High Low) yang diambil pada periode Siklus Dominan yang terukur MESA. Definisi ini mungkin tidak sepenuhnya benar, tapi cukup memadai sebagai kualifikasi ketidakpastian harga intraday. Untuk tujuan indikator ini, Sinyal adalah amplitudo puncak-ke-puncak dari Siklus Dominan. Bila amplitudo gelombang Sinyal dua kali amplitudo Kebisingan SNR memiliki nilai 6 dB. Rasio ini adalah ambang di bawah ini yang tidak disarankan untuk melakukan ayunan perdagangan berdasarkan siklus. MESA91 TrendLine MESA91TrendLine adalah adaptive 2 Pole Super Smoother Filter yang disetel ke kelipatan dari Siklus Dominan yang terukur MESA, memastikan bahwa semua komponen siklik lebih pendek dari Siklus dominan akan dilemahkan. Hal ini berakibat pada indikasi tren. Tingkat lag yang dihasilkan oleh Indikator MESA91TrendLine dikendalikan oleh parameter masukan Mult, yang merupakan kelipatan dari Siklus Dominan yang disaring oleh filter. MESA91 TrendVigor Indikator MESA91TrendVigor mengukur kemiringan deret waktu sepanjang periode Siklus Dominant sebagai rasio terhadap amplitudo puncak-ke-puncak Siklus Dominan. Jika rasionya lebih besar dari satu, maka uptrend adalah swamping the Dominant Cycle dan tidak disarankan untuk menggunakan the Dominant Cycle untuk swing trading. Indikator MESA91 mencakup delapan bagan contoh yang dapat Anda periksa di dalam NeuroShell Trader. Untuk lebih jelasnya, lihat manual produk untuk pengaya ini. Informasi Kontak: Untuk pertanyaan seputar teori di balik Indikator MESACybernetic, silakan hubungi: Mesa Software, Inc. John Ehlers PO Box 1801 Goleta, CA 93116 Suara: (805) 969-6478 Faks: (805) 969-1358 mesasoftware Produk : Adaptive Mixture of Experts (AME) Noxa AME adalah penasihat ahli kelas dunia yang dapat beradaptasi dengan tidak hanya mengubah kondisi pasar, namun juga perubahan cara pasar yang mendasarinya. Ini adalah belajar sendiri, dan hanya memiliki satu parameter untuk ditetapkan. Sinyal yang disesuaikan dengan risiko untuk berbagai efek sekuritas, asing dan domestik, Perdagangan proxy dimungkinkan dengan menentukan waktu indeks, Berjalan dalam mode adaptasi 100 langkah maju. Teknologi Next-Generation untuk pasar baru Noxa AME (Adaptive Mixture of Experts) adalah Expert Advisor yang berjalan sebagai add-on untuk Grup Sistem Ward NeuroShell Trader. Adaptif: Pasar tidak statis. Mereka dinamis dan rentan terhadap perubahan cepat, terlebih lagi dengan masuknya High Frequency Trading. Strategi adaptif harus dapat menyesuaikan diri dengan tidak hanya mengubah kondisi pasar, namun juga perubahan cara pasar yang mendasar. Campuran: Campuran menggabungkan keyakinan beberapa algoritma ahli menjadi satu prediksi. Mereka mampu melakukan prediksi yang lebih besar daripada para ahli individual mereka. Pakar: Ada kemungkinan pola harga berkembang dengan hasil yang berbeda yang sering mereka hadapi bertentangan satu sama lain. Paling sering kita tidak berguna dalam memahami semuanya. Salah satu penjelasan yang mungkin adalah bahwa kita secara alami memperbesar pola kita tidak memiliki ide bagus tentang rinciannya. Expert algorithms however can deconstruct a pattern into low level features and look at how they progress through time in various contextual scenarios. Causal Singular Spectrum Analysis (CSSA) quot. I am very comfortable working with the package. It is incredibly useful just to look at the raw CSSA indicators. quot Nature and its parts fluctuate in cycles. Markets are no exceptions. A quick glance at any price chart will reveal cyclical behaviors price bobs up and down with a good degree of regularity giving evidence of rhythm. Obviously, if cycles are genuine . the presumption is that they will continue. And mostly they do, so we cannot afford to ignore them. Noxa CSSA is a package that runs as an add-on to NeuroShell Trader 5.2 and above. It is packed with a set of zero-lag indicators that provide a full wave-composite picture of the market at all time-frames. As you can see on the graph below, the peaks and troughs of the cycles emphasize the swings as if they were predicted with perfect hindsight. To learn more about CSSA, CLICK HERE Following is a brief overview of the indicators in the CSSA add-on: CSSA-Cycles The cycles are designed to be a direct reflection of the price action so that they dont lag. You will be able to quickly anticipate turning points independently of the time-frame. CSSA-Slope and Trendlines These indicators are derivatives from CSSA-Cycles they are particularly useful in identifying and confirming the direction of momentum behind a move. CSSA-Long and Short Entries Signals are triggered by CSSA-Cycles from its bases and peaks. A causal lead and filtering features have been added to compensate for inherent execution lags so that you can make the most of each market move. CSSA-QPhase This indicator operates a 90 degree phase shift of CSSA-Cycles the peaks and troughs of the cycle line become zero crossings. Signals are then triggered when the transform breaks through its center line. Because of the accuracy of the signals, tight stop losses can be kept for even better results. CSSA-Oscillator In addition to generating signals, this centered oscillator can also be used to confirm developing trends. CSSA-Turning Levels Lines are drawn horizontally from the base before an upmove in CSSA or a peak before a downmove. The purpose of this indicator is to show where price is liable to find some local support and encounter some local resistance. The violation of these lines can generate reliable entry points. CSSA-Percent Variance, CSSA-Coupling Index Both indicators are variations of the same concept. They use the variance accounted by individual cycles or group of cycles to compute a degree of coupling between them. Any sudden change in this coupling can announce that something is amiss with the current trend or that the current trend is about to change. CSSA-Change Point Score The degree of change between recent and past price action is returned. It can be interpreted as the probability that some change is likely to occur due to strong causal dependencies in the data. In other words this indicator reveals hidden dependencies that may announce significant changes in trend. CSSA-ShowRange Select a range, and then use the values shown in the caption to set the training range of CSSA indicators. CSSA-ShowEigenvectors Visualize the elementary patterns of behavior in price and find propagating modes. Their inherent persistence over time makes these modes especially worthy of attention. Example Following is a screenshot illustrating crossovers from CSSA-QPhase. The out-of-sample equity curve looks upper trending and pretty strong: Entropy Indicators (NEI) Make your purchase safely and with confidence using our secure online ordering system. For details, VISIT These add-ons are implemented in Vectorized C and assembly code for maximum speed. They integrate directly with Neuroshell Trader version 5 and come with chart examples. To download our Hands-on tutorial on NEI, CLICK HERE Have you ever heard of Claude Shannons entropy Probably not but it may be just what you need to find profitable patterns in the market. The backbone of NEI add-ons (Noxa Entropy Indicators) is a powerful search engine for patterns that are resistant to entropy (the tendency of systems to disorder). That means you will be able to trade compelling pockets of order that arise in the market. NEI Prediction-Days Markets sometimes lock themselves into predictable futures. NEI Prediction-Days detects these events by searching for local histories with high predictability potential. NEI Shannon Entropy Shannon Entropy gives a measure of statistical regularity in price data, making it a good proxy for changes in market condition. It is particularly suited for use with neural-nets to make buysell decisions. NEI Mutual Information Global Correlation Mutual Information and Global Correlation measure the statistical dependence between two series by giving the amount of information one series carries about the other. You will be able to explore the market and select inputs that maximize their Mutual Information. NEI Transfer Entropy Transfer Entropy is a measure of information flow between two series. It takes into account the amount of additional information required to represent future events. In essence, Transfer Entropy tells us which input leads which. Examples Following is a screenshot illustrating Mutual Information as a fair representation of market forces: You can see that some information flow between Oil service and Airlines stocks materialized in the form of islands whose tops happen to precede significant changes in trends (1997 1 . 1999 2 and early 2003 3 . 4 ). Particularly successful trading strategy example two neural-nets were built with NEI indicators as inputs to cope with changes in market conditions (out-of-sample backtest period in green): Contact Information: Contact Information: Optimized Renko Bars for Less Noise and Precise Trading Signals: Interchart Tools Renko Bars Add-On for NeuroShell Trader The Japanese developed Renko bar charts in an attempt to show price based upon a specified amount of movement in a single direction rather than reporting price based on a time schedule as in a 5 minute bar chart. Richey Enterprises developed an entirely new concept in Renko bars - optimizable Renko bars based on price, volume, or a combination of both, that may be customized for each security. The result is that your trading systems are based on less noise and subsequently generate more precise trading signals. These innovative Renko Bars comprise the InterChart Tools Renko Bars Add-On for NeuroShell Trader. The InterChart Tools Renko Bars are virtual bars capable of generating trading signals and performing their calculations using the same methods as traditional bars. Once a trading signal is generated by the Renko bar, both the trade and fill are correctly displayed on the open of the next bar of the base chart. For example, you can create a 0.25 range bar base chart and then add InterChart Tools Renko Bars to trading rules, visual charting systems, or predictions. Included Indicator Types InterChart Tools Renko Bars - are created based on a specified change in price that moves either up or down. InterChart Tools Volume Bars - are created based on the exchange of a specified minimum number of shares or contracts that move with price action either up or down. InterChart Tools Money Bars - are created based on the exchange of a specified amount of money stated in thousands of dollars that is calculated by multiplying the price times the number of sharescontracts that move with price action either up or down. How Renko Bars Work Renko Bars are only created when price has moved either up or down by the amount of the specified high-low range. This amount is referred to as the brick size. In all classic Renko charts, all bricks must be exactly the same size and the change specified in the high-low range must be in the same direction, either up or down, before a new bar is formed. Why InterChart Tools Renko Bars Differ from Traditional Renko Bars The InterChart Tools Renko Bars include parameters that allow you to specify the number of ticks used to calculate the up part of the Renko bar as well as the number of ticks used to compute the down part. Since any bars function is to absorb noise and rising price jitter is often different from falling price jitter, the IctRenko bars permit an asymmetrical definition to accommodate this. A Bar Size Multiplier gives you the option of setting the overall size of the bar once the updown ratio has been configured. IctRenko bars are only created when price has moved either up or down by the number of virtual ticks specified in either the Ticks per Up Bar or Ticks per Down Bar multiplied by the Bar Size Multiplier. NeuroShell Renko bars may, at the users discretion, be controlled by the NeuroShell Trader optimizer to identify the optimal bar size and noise absorption for a given algorithm or security. Different moving averages of InterChart Tools Volume Renko Bars can tell you when to go long or short - or even when to stay out of the market. The price of InterChart Tolls Renko Bars Add-On is 695. You need NeuroShell Trader 6.4x or higher to use the InterChart Tools Renko Bars Add-On. InterChart Tools Renko Bars work with the NeuroShellreg DayTrader and NeuroShell DayTraderreg Power User, as well as NeuroShell Trader Professional and NeuroShell Power User. For more information, call Ward Systems Group at 301 662 7950. InterChart Tools 1 Richey Enterprises is offering traders a set of indicators that makes consensus trading among multiple time frames possible. The InterChart Tools 1 Add-On allows you to share information between charts using different bar sizes. As an example, an MACD indicator created on a range bar chart may be used to influence processing on a 5-minute time bar chart. Or you could use the close on a 5-minute chart to influence a 15-minute chart. Since bar size creates primary noise filtering, this allows another mechanism for noise removal. Streams may be sent or received from any of NeuroShell DayTrader Professional chart types: time bar, volume bar, tick bar, and range bars. Because InterChart Tools 1 works with daily, monthly, and weekly charts, it may also be used with NeuroShell Trader and NeuroShell Trader Professional. Single Streams InterChart Tools 1 broadcasts data streams from a source chart, which can be retrieved by one or more receiving charts. These streams are time series chart items. Any time series which can be plotted on a chart can be sent to another chart using the SendStream and GetStream indicators respectively. Items that may be sent to another chart include: Price streams such as open, high, low, and close Indicators such as (High Low) 2, MACD, Exponential Moving Average and any of NeuroShells hundreds of other indicators Outputs from trading strategies and predictions Groups of Streams In addition to transmitting single data streams, InterChart Tools 1 includes SendGroup indicators which allow you to send similar data from either single or multiple charts. The multiple streams are processed (summed, min value, max value, or averaged) and displayed on another chart as a single data stream using the GetGroup indicator. Volume Indicators Volume data may be transmitted from a stock chart to an options or futures chart using the SendVolume and GetVolume indicators. The SendVolume indicator is different from the SendStream indicator because it accumulates data until the completion of a bar on the receiving chart. Cautionary Note There is no way to guarantee the order in which two separate intraday charts will update with a new bar, and thus it is likely that charts updating bars at the same time may not receive the most recent data. As an example, suppose a 1-minute chart is sending a stream to a 10-minute chart. Six times an hour these charts will update at the same time, and which updates first is usually a function of the unpredictable timing in which data is received, or other factors. Therefore at any one of those six times per hour, it is possible that the 10-minute chart will update and ask for streams a second or so before the 1-minute chart updates. The 10-minute chart will get the streams that are currently available, and will not wait for the 1-minute chart to update. Therefore it is possible that the 10-minute chart will receive 1-minute-old data from the 1-minute chart. Do not use these indicators where this could be a problem for you . Generally simultaneous updating is not as likely when at least one chart is a volume, tick, or range bar chart. To correct this problem, you can right click on the chart and select recalculate chart to manually update out of sequence operations. Another time that older bars may be sent is when there are no bars to send. This could occur when there are gaps in price bars due to missing data, the exchange not being open, or other causes. When a new value for a bar is available, the bar may change. If you build a prediction or trading rules based on these bars, your signals could change. Such problems may be less troublesome when sent data is received by the chart with the fastest bars. InterChart Tools 1 will NOT work on charts that have more than one chartpage. InterChart Tools 1 indicators include: SendStream transmits a single data stream GetStream receives a single data stream SendGroup1, 2, 3, 4, 5, and 6 transmits up to 6 similar data streams GetGroup accepts data from the SendGroup indicators and applies a treatment such as summing, extracting the minimum or maximum value, or averaging to compress the data into a single stream SendVolume sends volume data. This indicator accumulates volume data until the completion of a bar on the receiving chart. GetVolume receives volume data that accumulates since the last update Example 1: This example shows how to send a 10 bar moving average computed on a 5-minute chart to a 7-minute chart. The 5-minute chart contains the following indicator SendStream that uses a StreamID of 1: SendStream (1,Avg(Close,10)) The 7-minute chart contains the following GetStream indicator, which reads StreamID 1: GetStream(1) Example 2: In this example a range bar chart computes the spread between an RSI on itself and an RSI from a daily chart. The daily chart contains an RSI indicator that has been renamed DailyRSI. It also contains the following SendStream Indicator with a user selected StreamID of 13: The range bar chart contains an RSI that has been renamed RangeRSI. It also contains the following indicator: Example 3: The user in Example 2 also creates an hourly bar chart to which he would like to send the spread on his range bar chart. On the hourly chart the user wants to divide the spread by a moving average on one of hisher daily charts. The following indicator is added to the range bar chart from Example 2, now called Example 3 Range SPY.cht . SendStream (5,Spread(RangeRSI, GetStream (13))) The following indicator is added to the daily chart from Example 2, now called Example 3 Daily SPY.cht . Then on the hourly bar chart called Example 3 Hourly SPY . the following indicator is added: Divide( GetSteam (5), GetStream (12)) For more details, please view the product manual for this add-on The price of the InterChart Tools 1 Add-on is 399. For more information, call Ward Systems Group at 301 662 7950. BUY NOW InterChart Tools 2 Richey Enterprises has developed a set of price indicators called InterChart Tools 2 that generate early trading signals for NeuroShell Trader. The TimeBars indicators call higher timeframe data to a chart and update every time the base chart updates. There are separate indicators for the open, high, low, close, and volume data as well as several different combinations of that data. The Consolidated Bars indicators combine x number of the most recent bars that you specify into a single data stream and are useful for fast moving tick and range bars. The TimeBars indicators let you to create 5, 10, 15, 30, etc. minute bars on a 1 minute chart in NeuroShell DayTrader, with the added advantage of not having to wait for the higher minute bar to complete before the TimeBar updates. While creating these indicators, Richey Enterprises determined that 90 of the time the high and low for 10 minute bars occur before the end of 10 minute bars. The optimizer in the Trader can determine the bar size which is most appropriate for your desired algorithm and equity. The Consolidated Bars indicators can combine the high value from the most recent 5 bars, for example. The Consolidated Bars are especially useful when your trading system is based on tick and range bars. Consolidated bars allow you to de-noise high frequency range and tick bars. The optimizer can identify the optimal number of bars to consolidate during the morning, mid-day and closing sessions to properly de-noise range data without lag and without having to wait for a higher range bar to complete. Example 1: Time Bars High and Volume On the Example 1 chart we have added a TimeBar High indicator. The high bar displays the highest high value from the 10 minute bar since the 10 minute bar began to form. The TimeBar High will continue to build until 10 minutes past the hour at which point it will be identical to the high of a standard 10 minute bar. At 10 minutes past the hour both indicators will reset and the operation repeats. We also added the TimeBar Volume indicator to the chart. When you look at the example chart, the TimeBar high values from the 10 minute bars are almost always correctly defined before the end of the bar time. Therefore any Trading Strategy, Prediction, or indicator which references the high of a higher time frame bar may fire before a standard bar would be able to issue a signal. Similarly, the bar volume builds at the chart frequency. Any Trading Strategy, Prediction, or indicator which depends on a volume level from a higher time frame will fire when that has been achieved. Often this is before half of the bar has been built. Of course, if the volume requirement is not going to be met for this bar, it will not fire falsely. Example 2: Indicators in Predictions In this example we created a 5 minute chart for the SP 500 E-Mini which uses several different InterChart Tools2 indicators based on 10 minute bars (TimeBars HL2, TimeBars HLC3, and TimeBars OHLC4) as inputs to a prediction of the percent change in open 1 bar in the future from the next open. We did not optimize any input parameters. The model shows a 15476.1 1 yr Return on Trades for the out-of-sample period. Example 3: Indicators in Trading Strategies In this example we created a 5 minute chart for the SP 500 E-Mini which uses InterChart Tools2 high and low values from a 10 minute bar as the basis for creating an RSI Trading Strategy. We entered a Trading Strategy as follows: Long Entry: RSI based on TimeBars Low 10 minute 70 Optimize the periods in the RSI from 1 to 10 and optimize the RSI value from 80 to 90 We set the model to trade 1 contract between the hours of 8:35 a.m. to 3:30 p.m. We added a margin of 500 per contract and a point value of 50 for the SP E-Mini. The model returned an annual return on account of 5603.3 in the out-of-sample period compared to a 115.4 annual percent change in price. Example 4 Optimize Time Frame If you dont know which higher time frame to use in your model, you can let the optimizer choose. We created a prediction much like Example 2, but instead of using different TimeBars indicators based on the same time frame, we used the same TimeBarsHL2 indicator, one for 10 minute bars and the other for 15 minute bars, both on a 5 minute chart. In the Prediction Parameters settings on the Optimization tab, we limited the maximum number of inputs to 1 so the optimizer was forced to make a choice of inputs. You could do the same thing with various numbers of Consolidated Bars. Letting the optimizer choose the best TimeBars or Consolidated Bars could also be used in the Trading Strategy wizard by choosing Rule Selection Optimization on the Long and Short rules tabs. Example 5 Consolidated Bars We created a .3 range bar chart for the SP 500 E-Mini, then created a Prediction with both a Consolidated Bars HL2 indicator and a Linear Weighted Average of the Close as inputs. On tick based charts (range and volume) these consolidated bars act like variable time bars. In this example, a 5 bar consolidate of a .3 range bar will display the (H L) 2 over the time it took to create the 5 bars. These bars are continuous and always reflect the high of the previous N bars, so as a new bar is added the oldest bar is dropped off. Unlike any moving average which might attempt to do the same, there is never any lag. The Prediction predicted 5 0.3 range bars into the future from the next open. The model used a 500 margin and a point value of 50. We set the number of hidden neurons down to 1. The profitable results from the optimization period continued into the out-of-sample period. Example 6 Optimize Data Stream If you dont know which data stream you want to use in your Trading Strategy or Prediction, you can use the TimeBars indicator and let the optimizer choose a display parameter, which means that the optimizer will choose the correct data stream. In this example, we inserted two TimeBars indicators in a prediction and optimized only the display parameter. The two TimeBars were based on 10 and 15 minute bars respectively, and the optimizer chose the 10 minute bar based on the low as the only input for the model. Consolidated Bars You can also let the optimizer choose the data stream for Consolidated Bars by optimizing the display parameter for a Consolidated Bars indicator. For more details, please view the product manual for this add-on. The price of InterChart Tools 2 Add-on is 399. For more information, call Ward Systems Group at 301 662 7950. BUY NOW InterChart Tools 21 Richey Enterprises has developed a set of price indicators called InterChart Tools 21 that generate early trading signals for NeuroShell Trader. The TimeBars indicators call higher timeframe data to a chart and update every time the base chart updates. There are separate indicators for the open, high, low, close, and volume data as well as several different combinations of that data. The Consolidated Bars indicators combine x number of the most recent bars that you specify into a single data stream and are useful for fast moving tick and range bars. The TimeBars indicators let you to create 5, 10, 15, 30, etc. minute bars on a 1 minute chart in NeuroShell DayTrader, with the added advantage of not having to wait for the higher minute bar to complete before the TimeBar updates. While creating these indicators, Richey Enterprises determined that 90 of the time the high and low for 10 minute bars occur before the end of 10 minute bars. The optimizer in the Trader can determine the bar size which is most appropriate for your desired algorithm and equity. The Consolidated Bars indicators can combine the high value from the most recent 5 bars, for example. The Consolidated Bars are especially useful when your trading system is based on tick and range bars. Consolidated bars allow you to de-noise high frequency range and tick bars. The optimizer can identify the optimal number of bars to consolidate during the morning, mid-day and closing sessions to properly de-noise range data without lag and without having to wait for a higher range bar to complete. Adaptive Consolidated Bars indicators also combine the information from the most recent bars on a chart, but unlike the regular Consolidated Bars the Adaptive Consolidated Bars treat rising bars and falling bars independently. The Adaptive Consolidated Bars offer the option of consolidating a different number of bars for rising prices as contrasted to the number of bars for falling prices. Since the function of a consolidated bar is to absorb noise and rising price jitter is often different from falling price jitter, the Adaptive Consolidated Bars permit an asymmetrical definition to accommodate this. Example 1: Time Bars High and Volume On the Example 1 chart we have added a TimeBar High indicator. The high bar displays the highest high value from the 10 minute bar since the 10 minute bar began to form. The TimeBar High will continue to build until 10 minutes past the hour at which point it will be identical to the high of a standard 10 minute bar. At 10 minutes past the hour both indicators will reset and the operation repeats. We also added the TimeBar Volume indicator to the chart. When you look at the example chart, the TimeBar high values from the 10 minute bars are almost always correctly defined before the end of the bar time. Therefore any Trading Strategy, Prediction, or indicator which references the high of a higher time frame bar may fire before a standard bar would be able to issue a signal. Similarly, the bar volume builds at the chart frequency. Any Trading Strategy, Prediction, or indicator which depends on a volume level from a higher time frame will fire when that has been achieved. Often this is before half of the bar has been built. Of course, if the volume requirement is not going to be met for this bar, it will not fire falsely. Example 2: Indicators in Predictions In this example we created a 5 minute chart for the SP 500 E-Mini which uses several different InterChart Tools2 indicators based on 10 minute bars (TimeBars HL2, TimeBars HLC3, and TimeBars OHLC4) as inputs to a prediction of the percent change in open 1 bar in the future from the next open. We did not optimize any input parameters. The model shows a 15476.1 1 yr Return on Trades for the out-of-sample period. Example 3: Indicators in Trading Strategies In this example we created a 5 minute chart for the SP 500 E-Mini which uses InterChart Tools2 high and low values from a 10 minute bar as the basis for creating an RSI Trading Strategy. We entered a Trading Strategy as follows: Long Entry: RSI based on TimeBars Low 10 minute lt 30 Optimize the number of periods in the RSI from 1 to 10 and optimize the RSI value from 15 to 45 Short Entry: RSI based on TimeBars High 10 minute gt 70 Optimize the periods in the RSI from 1 to 10 and optimize the RSI value from 80 to 90 We set the model to trade 1 contract between the hours of 8:35 a.m. to 3:30 p.m. We added a margin of 500 per contract and a point value of 50 for the SampP E-Mini. The model returned an annual return on account of 5603.3 in the out-of-sample period compared to a 115.4 annual percent change in price. Example 4 Optimize Time Frame If you dont know which higher time frame to use in your model, you can let the optimizer choose. We created a prediction much like Example 2, but instead of using different TimeBars indicators based on the same time frame, we used the same TimeBarsHL2 indicator, one for 10 minute bars and the other for 15 minute bars, both on a 5 minute chart. In the Prediction Parameters settings on the Optimization tab, we limited the maximum number of inputs to 1 so the optimizer was forced to make a choice of inputs. You could do the same thing with various numbers of Consolidated Bars. Letting the optimizer choose the best TimeBars or Consolidated Bars could also be used in the Trading Strategy wizard by choosing Rule Selection Optimization on the Long and Short rules tabs. Example 5 Consolidated Bars We created a .3 range bar chart for the SampP 500 E-Mini, then created a Prediction with both a Consolidated Bars HL2 indicator and a Linear Weighted Average of the Close as inputs. On tick based charts (range and volume) these consolidated bars act like variable time bars. In this example, a 5 bar consolidate of a .3 range bar will display the (H L) 2 over the time it took to create the 5 bars. These bars are continuous and always reflect the high of the previous N bars, so as a new bar is added the oldest bar is dropped off. Unlike any moving average which might attempt to do the same, there is never any lag. The Prediction predicted 5 0.3 range bars into the future from the next open. The model used a 500 margin and a point value of 50. We set the number of hidden neurons down to 1. The profitable results from the optimization period continued into the out-of-sample period. Example 6 Optimize Data Stream If you dont know which data stream you want to use in your Trading Strategy or Prediction, you can use the TimeBars indicator and let the optimizer choose a display parameter, which means that the optimizer will choose the correct data stream. In this example, we inserted two TimeBars indicators in a prediction and optimized only the display parameter. The two TimeBars were based on 10 and 15 minute bars respectively, and the optimizer chose the 10 minute bar based on the low as the only input for the model. Consolidated Bars You can also let the optimizer choose the data stream for Consolidated Bars by optimizing the display parameter for a Consolidated Bars indicator. Example 7 Consolidated Bars vs Adaptive Consolidated Bars The Adaptive Consolidated Bars were able to increase the profits from the original Trading Strategy built on crossovers of Exponential Moving Averages of consolidated bars. For more details, please view the product manual for this add-on. The price of InterChart Tools 21 Add-on is 499. For more information, call Ward Systems Group at 301 662 7950. BUY NOW RJ5 Group LLC Product(s): iCinDER trade indicators The iCinDER indicators, W3 and V2, provide indication of the cyclical trends advance and decline, and as such, can provide cycle analysis information at the Minor, Intermediate and Major Cycles. The approach taken in the creation of the set of tools in the iCinDER products is to combine individual components into a cohesive, integrated analytical tool that can provide information as to the direction and strength of market movement of financial instruments traded in the open markets. The basis of the indicators is extractions of dynamics of price and time with the added mathematical algorithms that attempt to capture the pure impulse movement of the instrument being evaluated. It is also understood that the indicators reliability and quality of feedback is based on the issue having adequate volume movement to ascertain the impulse of the indicator with higher efficiency and correlation. As with all technical analysis indicators, iCinDER cyclical indicators are designed to be used with other indicators you may be familiar with and that the user verify correlation to achieve positive confirmation of the output that is provided by iCinDER indicator. The W3 and V2 indicators can also be filtered by other indicators such as RSI, Linear Regression Slope as well as others that the user may want to experiment with in their models. How all this came to be Interview with Raul Jimenez, creator of iCinDER W3 and V2. I have been trading since about 1989 and have devoted time to studying trading systems, indicators, Dow Theory, Elliott Wave Theory, etc. During all my trading years, I found systems that worked for a while then stopped working. At the time, I did not understand why but changed to another system that would work for a while. In 2006, after working for a large software company for a number of years, I decided it was time to stop the traveling and fast paced lifestyle and devote some time to something I was passionate about trading in the stock market. I had spent time reading books on cycle analysis, MACD, RSI, adaptive indicators and other methodologies. It all came back to me as either the cycles were too closely correlated, tight fitting with virtually no divergence or loosely coupled. I knew that mathematically it was possible to measure multiple timeframes and correlate them to a single wavelength, which while not adaptive could provide high correlation to the measured instruments. I will not bother with discussing all the experiments, but one thing was clear the business cycle was part of the solution. With this in mind, I devised an algorithm that analyzed price and time in 5 dimensions this became V2 and a secondary indicator that added a theoretical momentum type dimension. This last part was composed of 2 dimensions at 2 timeframes. Adding all this together to V2 --- W3 was born. This was December of 2006 when this was completed. Initial complex implementations with scanners and strategies were done for Tradestation, and to date that is the most complete and complex model I have developed. The simple V2 and W3 were ported to other platforms Metastock, eSignal and others. Now we fast track to 2009 when a good friend of mine, George D, started discussing GA with me. I had worked on this before and thought of having a fresh look at V2 and W3 within a GA. My friend recommended Neuroshell. The rest is now history about 5 months of work and testing, building models with iCinDER indicators and adding TurboProp, Fuzzy Indicators, Neural Indicators and Chaos Hunter. Today, we have both V2 and W3, implemented in an external DLL. We ship the indicators with an extensive Help File and sample models that the user can use as starting points for their own models. We plan on providing more complex models for the users that have TurboProp, NI and even Chaos Hunter. BUY NOW Contact Information: Adaptive Net Indicators The way a human would typically do pattern matching on financial data is as follows: He or she would scan the price stream (close) looking for distinct movements. Then he or she would examine the pattern formed by the changes in close for some number of bars (lets say 11) just prior to the distinct movements. If this human is pretty good at pattern recognition, he or she might even examine the changes in the open, high, and low of the preceding 11 bars as well as the change in close in those bars. The human is looking for what types of patterns in the prior 11 bars that foretell the distinct movement. Once the human is satisfied that there is a high probability of the distinct movement following certain patterns, he or she can then watch for those patterns in the future. When the patterns appear, the human expects one of the distinct movements to follow and places orders appropriately. The example above is the inspiration behind the enhancements to Adaptive Net Indicators (ANI) release 2.0. ANI always did pattern matching, but now in release 2.0 new functions not only include the current bar in the inputs but a number of lags of the input as well. Technical Details Adaptive Net Indicators are special versions of GRNN and PNN neural nets formulated to do pattern matching, both predicting and classifying. They retrain (quickly) on every new bar, so they are never more than 1 bar behind. You can set the contribution factors yourself so that the net uses your specification of how important the inputs are, instead of the other way around. Of course, you could also let the genetic algorithm find them if you own the NeuroShell Trader Professional or the DayTrader Professional. As a matter of fact, you can also let the GA find the optimal number of bars ahead to predict and the optimal training set size. If thats not enough exclamation points, how about this: you can even let the GA find the best thing to predict by optimizing the parameters (including whether open, high, low, or close) of your output indicator. Adaptive Net Indicators is a package with unprecedented flexibility and capabilities. Many of you have expressed a desire to have confidence factors for your nets. The classification series of Adaptive Net Indicators will provide you with confidence. In addition, Adaptive Net Indicators will make no prediction at all if they feel they have no basis on which to do so. Our Adaptive Net Indicators do pattern matching by comparing each new pattern encountered with a number of immediately previous known patterns. They do not use weights like most neural nets. The Net output (i.e. the output of the indicator) is derived from the outputs of the immediately previous patterns. It is most heavily influenced by the most closely matching of the known patterns, and so the output of any new pattern encountered will be much like similar known patterns. You the user can set the number of immediately previous patterns which the Net compares to the new pattern. The Net indicator has inputs in which the pattern is stored, just like other indicators and neural nets. If a Net has 3 inputs, you can feed in the current values of the RSI, a CCI, and the Momentum to form the pattern, for example. Or you could feed the Net todays close, yesterdays close (lag 1 of close), and the close the day before (lag 2 of close). You can feed Net outputs into a Net, just as you could do with any other indicator. With some of our indicators, you can also input many lags of the primary inputs as well. Nets also have another type of input, called the Actual value. This is where you show the Net what you want the outputs to be like. In other words, you train the Nets to produce values like the Actual value whenever the corresponding inputs are closely matched. You want the Net to predict for you the Actual value X bars in advance. The output of the Net is the prediction signal of the Actual value X bars ahead. You get to pick what X is for each Net. This is just like our neural nets in the NeuroShell Trader. Furthermore, you can even optimize the value of X in a Trading Strategy. There is another big difference between our Adaptive Nets and the neural nets in the NeuroShell Trader. The contribution factors for each input are also inputs. Thats right, instead of the net telling you the contribution of each input variable, you get to tell the Net what the contribution should be. The higher the contribution, the more heavily the Net will weigh that input when it does pattern matching. Of course, if youd rather have the contribution factors figured out for you, the NeuroShell Trader Professional can optimize them. There are two kinds of Adaptive Nets, depending on the type of output they produce. There are Prediction Nets whose outputs are predicted values (like price change, percent change in price, predicted indicator values, etc.). There are also Classifier Nets whose output is a probability of the pattern being of one type or another. Types might be Buy and Hold, for example. Other types can be Good and Bad, or Up and Down, etc. The Classifier Nets dont actually read or produce the strings like Buy and Hold. You use positive numbers in the Actual for one category like Buy, and zero or negative numbers for the other category like Sell. The predicted output will be a number between -1 (strong probability of sell) and 1 (strong probability of buy). Numbers close to zero could be considered Hold (YOU would decide how close to zero a prediction should be to be considered a Hold) One of the interesting things you can do with Adaptive Net Indicators is build adaptive moving averages. You can adjust how tight or how loose the adaptive moving average is. The chart below shows an adaptive net indicator configured as an adaptive moving average. Configurations There are a total of 18 Adaptive Nets, nine Predictor Nets and nine Classifier Nets. There are 9 of each because each of the nine takes a different number of inputs as follows: Predict2 - Prediction Net which takes 2 inputs Predict3 - Prediction Net which takes 3 inputs Predict4 - Prediction Net which takes 4 inputs Predict5 - Prediction Net which takes 5 inputs Predict6 - Prediction Net which takes 6 inputs LagPredict1 - Prediction Net which takes many inputs: 1 primary input and any number of lags of that primary input. LagPredict2 - Prediction Net which takes many inputs: 2 primary inputs and any number of lags of those primary inputs. LagPredict3 - Prediction Net which takes many inputs: 3 primary inputs and any number of lags of those primary inputs. LagPredict4 - Prediction Net which takes many inputs: 4 primary inputs and any number of lags of those primary inputs. Classify2 - Classifier Net which takes 2 inputs Classify3 - Classifier Net which takes 3 inputs Classify4 - Classifier Net which takes 4 inputs Classify5 - Classifier Net which takes 5 inputs Classify6 - Classifier Net which takes 6 inputs LagClassify1 - Classifier Net which takes many inputs: 1 primary input and any number of lags of that primary input. LagClassify2 - Classifier Net which takes many inputs: 2 primary inputs and any number of lags of those primary inputs. LagClassify3 - Classifier Net which takes many inputs: 3 primary inputs and any number of lags of those primary inputs. LagClassify4 - Classifier Net which takes many inputs: 4 primary inputs and any number of lags of those primary inputs. Adaptive TurboProp2 Many of our customers have asked for a version of our famous TurboProp2 that retrains itself as often as every bar. Well here it is, formulated as an indicator Just insert it into your chart or trading strategy just like any other indicator. Never has a neural net been easier to use, yet so powerful Adaptive TurboProp2 (AT2) is the same basic neural network algorithm that is used in the NeuroShell Trader, Trader Professional, and NeuroShell DayTrader Professional Prediction Wizard. However, AT2 can retrain itself as frequently as every new bar or after a number of bars which you can specify. The training set is always the most recent bars. AT2 does not make predictions on the training set bars, and its predictions are always out of sample (exception: when you specify that you are predicting zero bars ahead). Therefore, there are no walk forward periods to worry about, since the net is essentially walking forward each day (or each bar in the case of the NeuroShell DayTrader Pro). An AT2 net may be used as an indicator, as an input to a regular TurboProp2 net in the Prediction Wizard, or it may be used directly in a Trading Strategy. The output is a signal, meaning that the prediction is shown on the current bar, even if it is a prediction for 10 bars from now. AT2 doesnt require the optimizer in the Professional versions of the Trader because the parameters are so easy to set. However, when used with the NeuroShell Trader Professional or NeuroShell DayTrader Professional, you can optimize the following parameters: 1. trainbars - the training set size (number of recent bars on which to build the model), up to a maximum of 10,000. 2. aheadbars - the lookahead period (the number of bars into the future the prediction is to be made), i.e. the number of bars ahead that the actual signal is predicted. Be careful not to allow 0 in the range, because then you are predicting the current bar, not the future. 3. actual - the parameters of any indicator used as an output. 4. hiddens - the number of hidden neurons to use when making a network (Turboprop2 in the prediction wizard automatically decides how many to use, but AT2 lets you or the optimizer decide). You can use up to a maximum of 20 hidden neurons, more than enough for this adaptive version. 5. retrain - this parameter specifies in bars how often the net is trained. If retrain 1, a new net is created for each new bar encountered. If retrain 10, the net is retrained every 10 bars. 6. input1, input2, etc. - these parameters are the network inputs. You can optimize all parameters of indicators used as these inputs. Available Configurations AT2 nets allow 2 to 14 inputs. The names of the indicators are correspondingly Tprop2, Tprop3, , Tprop14. Adaptive TurboProp2 requires release 3.2 or better of the NeuroShell Trader, NeuroShell Trader Professional, or NeuroShell DayTrader Professional. Advanced Indicator Set 1 The NeuroShell Traderreg Professional has around 800 technical indicators. However, that didnt stop our users from wanting more They sent us requests for more indicators, some of which were simple to build, and some of which required a great deal of research. So we built another add-on called the Advanced Indicator Set 1 with these requested indicators. These are not part of the NeuroShell Traderreg, NeuroShell Traderreg Professional, or NeuroShellreg DayTrader Professional, but you can buy them as an optional add-on if you want them. They require release 3.0 or above of the NeuroShell Traderreg, NeuroShell Traderreg Professional, or NeuroShellreg DayTrader Professional. Aroon Down Aroon Up Aroon Oscillator Chaikin AccumulationDistribution Oscillator Hodrick-Prescott Filter (untradable) Hodrick-Prescott Window Keltner Channels True Range Vidya Volume Adjusted Moving Average (VAMA) (untradable) ZigZag (untradable) CHAOS AND FRACTAL INDICATORS Choppiness Index Polarized Fractal Efficiency Hurst Exponent Hurst Significance Fractal Dimension Polynomial Regression Polynomial Predict Moons Illuminated Fraction New Moon Moons First Quarter Full Moon Moons Last Quarter First Monday of the Month Flag First business day of the Month Flag Last business day of the Month Flag Number of days since High occurred Number of days since Low occurred Week of the Month Week of the Year Advanced Indicator Set 2 The NeuroShell Traderreg Professional has around 800 technical indicators. However, that didnt stop our users from wanting more They sent us requests for more indicators, some of which were simple to build, and some of which required a great deal of research. So we built another add-on called the Advanced Indicator Set 1 with these requested indicators. These are not part of the NeuroShell Traderreg, NeuroShell Traderreg Professional, or NeuroShellreg DayTrader Professional, but you can buy them as an optional add-on if you want them. They require release 3.0 or above of the NeuroShell Traderreg, NeuroShell Traderreg Professional, or NeuroShellreg DayTrader Professional. J. Welles Wilders Indicators Accumulation Swing Index Directional Movement Index MinusDI MinusDM Parabolic SAR signal Parabolic SAR value PlusDI PlusDM Swing Index Redundant Haar Wavelets Redundant Haar Wavelet Coefficient Redundant Haar Wavelet Smoothed Curve Center Of Gravity Index Center Of Gravity Oscillator Median Price Median Value Random Walk Index of Highs Random Walk Index of Lows RAVI Retrace Buy Retrace Sell Stochastic RSI Oscillator Variable Length Moving Average Volatility Breakout High Volatility Breakout Low Marc Chaikins Indicators AccumulationDistribution Oscillator Chaikin Money Flow Persistency Chaikin Volume Accumulation Percent Flag2 Flag3 Flag4 Flag5 Flag1 toggle with reset condition Flag2 toggle with reset condition Flag3 toggle with reset condition Flag4 toggle with reset condition Flag2 with reset condition Flag3 with reset condition Flag4 with reset condition Flag5 with reset condition BarCondition Count Indicators Bar Count Since Condition Bar Count Of Time S eries Condition Count Advanced Indicator Set 3 Advanced Indicator Set 3 is an eclectic set of indicators that expand NeuroShell Traders ability to find a value between two separate conditions or since the occurrence of a single condition. The Find and Count indicators are designed to answer traders questions about data such as what is the max value of the close in the time between a Bollinger Band High Breakout and a Bollinger Band Low Breakout or count the number of times the percent change in close was greater than x percent from February 1 to May 31. In addition, Set 3 adds the power to remember or toggle values off and on based on conditions. The Remember and Toggle indicators may be used to create complex Predictions and Trading Strategies. These functions complement the NeuroShell Traders emphasis on building indicators with a wizard rather than requiring the user to be a programmer. The result is a significant speed increase in building and testing trading systems. Advanced Indicator Set 3 also includes indicators specifically designed for pair trading. The PairEntry and PairExit set lets you build traditional market neutral systems that simultaneously buy and sell a pair of instruments that follow one another and frequently cross prices. When those pairs are hard to find, the ProxyEntry and ProxyExit indicators expand possibilities for pair trading by using the NeuroShell Traders neural nets to create cointegrated pairs. Rounding out this diverse mix are two indicators that compute the correct sun time and distance to the moon. Overview of Indicators The following descriptions of the Advanced Indicator Set 3 indicators are abbreviated. There are more comprehensive descriptions in the help file. Conditional Indicators The task oriented indicators in Set 3 such as Find, Count, Remember, and Toggle require the use of conditional indicators. The NeuroShell Trader includes many conditional indicators such as rules, Boolean, relational, crossovers, candlesticks, etc. Advanced Indicator Set 3 expands those choices with the following indicators: FollowedBy - returns a 1 for true when a Condition1 is followed by a Condition2. Other times it returns a zero. TimeIs - specifies a time as a condition for another indicator. DateIs - specifies a date as a condition. Peak - specifies the highest value within a certain number of bars. Valley - looks for the lowest value within a certain number of bars. BarNumber - returns a 1 when the specified bar number appears in a chart. The first bar in the chart is numbered 1, the second bar is numbered 2, etc. Find Indicators Find - calculates values such as count, point change, percent point change, max, min, sum, average, standard deviation, variance, median, regression slope, number of advancing bars, number of declining bars, max advance, and max decline based on two conditions occurring in a data stream. FindInclusive does the same as the Find indicator but includes the bars on which the conditions are true. FindSince and FindSinceInclusive - find similar values from the time Condition1 occurs until the end of the chart. Count Indicators Count - calculates a running total of the number of times a specified condition occurs in between a start condition and an end condition. CountInclusive same as the Count indicator but includes the bars on which the conditions are true. CountSince and CountSinceInclusive - these indicators begin their running total with the occurrence of Condition1, but Condition2 is replaced by the current bar. Remember - outputs a time series value based on a condition you specify. For example, the Remember indicator would output the value of the high (the time series) when the 9 period moving average crosses above the 13 period moving average (the condition). The output value would remain the same until the condition is met once again, at which time the current high would become the output. Remember2, Remember3, and Remember4 - output a different value depending upon which of several conditions is activated. The Remember indicators may be used as variable inputs to other indicators, Predictions or Trading Strategies. The conditions are truefalse indicators or any indicator that produces a value of either 0 or a non-zero value. Toggle - signifies the presence or absence of conditions you specify. The Toggle indicators may also be used to remove certain data when training a neural net, e.g. only train a net on bars between 1 p.m. and 4 p.m. The Toggle indicators output 0, 1, or a missing value based on the settings for the What parameter. ToggleInclusive same as Toggle but includes but includes the bars on which the conditions are true. ToggleSince and ToggleSinceInclusive - these indicators begin their running total with the occurrence of Condition1, but Condition2 is replaced by the current bar. Pair Trading PairEntry - compares the value of the close, which is different for each of the two chart pages, to the value of Price1 (the first stock) and Price2 (the second stock) and determines which stock goes long and which stock goes short. The values of Price1 and Price2 are also used to compute the spread between stocks in order to determine an entry point for the trade. PairExit - determines the exit conditions for trades entered with the PairEntry indicator. The PairExit indicator includes the StopSpread parameter that can be set as an emergency exit for both stocks. ProxyEntry similar to PairEntry but uses a neural net prediction to create proxy pairs by using one stock to predict the price of another. Uses the spread between the actual and predicted prices to pair trade the predicted stock and the one used as an input to the net. ProxyExit - determines the exit conditions for trades entered with the ProxyEntry indicator. The ProxyExit indicator includes the StopSpread parameter that can be set as an emergency exit for both stocks. Sun and Moon EquationofTime - returns the difference between solar time (as measured by a sundial) and mean clock time. MoonDistance - outputs the distance between the center of the Earth and the center of the Moon expressed in kilometers. Cluster Indicators The Cluster Indicators, like some of the other add-ons from Ward Systems Group, are based on how the human brain might classify the market. However, this NeuroShell Traderreg add-on isnt even a neural network (although neural net enthusiasts will see this as a Kohonen Self Organizing Map, trained by genetic algorithm) Think about this. Suppose you have two good inputs. Now suppose you made a scatter plot of a bunch of recent bars worth of these inputs. (For the math minded, all recent bars are plotted with one input on the Y axis and the other on the X axis.) Now suppose the inputs are good, as defined by the fact that their patterns foretell an uptrend or a downtrend in the price. Then wouldnt the bars that precede an uptrend look somewhat similar, at least after they were normalized Wouldnt those that precede a downtrend look similar too In other words, wouldnt the buy bars cluster together and the sell bars cluster together The graph displays long entry and short entry clusters for a Cluster Indicator based on the MACD and CCI indicators as inputs. Our new Cluster Indicators tell you how far the current bar is from the cluster center of the recent buy bars or sell bars. You can use a Cluster indicator as a buy rule, buying when the current bar is close to the cluster center of recent buy bars. Sell when the current bar is close to the sell cluster center. The genetic algorithm optimizer in the Trader Pro or DayTrader Pro finds the cluster centers that optimize the profit. The Cluster indicators also make dynamite inputs to a neural network. (For the neural net enthusiasts, this creates a paradigm much like the popular classic Radial Basis Function neural nets, except in the Trader Pro, your clusters dont have to all be based on the same inputs, and in fact can be optimized There was also a paradigm called Counter-propagation that was similar to feeding our Cluster indicators into a neural net.) Now expand the concept to as many as 16 inputs. Those cant be plotted because youd need a 16 dimensional scatter plot. But you can still measure how close the current bar is to a 16 dimensional cluster center There are 16 Cluster Indicators. Lets carry the concept a little further. Suppose some of the inputs are less effective than others in determining whether there is a buy or sell situation. You wouldnt want to consider these inputs as much when determining clusters and closeness. No problem, we have 8 Cluster contribution indicators, each of which has contribution factors which reduce or increase the impact of an indicator. You can set these contribution factors yourself or you can let the genetic algorithm do it for you. Either way, you now have a more powerful clustering indicator. Cluster Indicators require release 3.2 or better of the NeuroShell Trader Professional or NeuroShell DayTrader Professional. Fuzzy Pattern Recognizer How many times have you wished you could just let your software scan a price series and let you know when it has found a particular pattern that you like You have in your mind a special pattern of moves that you believe could precede a strong change in the market, but youd like the software to just monitor the incoming bars looking for your pattern. Well now you can do just that with the Fuzzy Pattern Recognizer add-on for the NeuroShell Trader series And you can do it using fuzzy logic Fuzzy logic was invented by Lofti Zadeh, and written about extensively in books by Bart Kosko. Fuzzy logic has been used successfully in machines and software around the world, even in smart household appliances. Now you can add this smart control to your trading, and it is easy to use because weve done the hard work for you The Fuzzy Pattern Recognizer is a fuzzy logic engine which lets you describe your pattern in fuzzy rules (approximate rules of thumb). It is really a series of indicators that show you, on a scale of 0 to 1, how closely the current price series matches your pattern. Turn on an alert in the DayTrader Professional and the Fuzzy Pattern Recognizer will scan your incoming bars looking for all of your favorite patterns. The alert will sound when the match is above .6. 8, or any value you select. Fuzzy rules are rules that are general in nature, not exactly specified. We describe price or indicator curves with the following fuzzy (verb) rules: Here are some example rules written in English which can be specified in the Fuzzy Pattern Recognizer add-on: The close rises sharply, then stays steady, then rises sharply again. The RSI rises, then drops, then rises, then rises sharply. The high remains steady, then drops, then rises, then remains steady, then drops, then drops sharply, then remains steady. The close drops sharply. Here are some additional highlights of the Fuzzy Pattern Recognizer: If you dont have any favorite patterns, you can let the genetic algorithm find them for you if you own the NeuroShell Trader Professional, or DayTrader Professional. You can specify that you want to look for two or more patterns, and then use the Fuzzy OR indicator to specify that any of your patterns are acceptable. You can specify that you want to look for two or more patterns, and then use the Fuzzy AND indicator to specify that all of your patterns must be present. Fuzzy OR and Fuzzy AND indicators can be combined for complex searches. As you can see from the example rules, patterns can be found not only in a price stream, but in most indicators such as stochastics, moving averages, etc. as well. You specify the number of bars in which a fuzzy verb such as rises applies. In other words, you determine that rises means over a duration of, say 10 minutes or ten days. You can also set the maximum expected variation, i.e. what you consider the maximum sharp rise to be. In that way, you can specify fuzzy rules, and then later apply those same rules to less or more volatile issues without recoding the indicator. All you have to do is reset the maximum expected variation. Although one use for Fuzzy Pattern Recognizer indicators is in Trading Strategy rules (conditions), you can also feed them into neural nets or other indicators. There are 8 fuzzy (verb) rule indicators in the add-on, Fuzzy1, Fuzzy2. Fuzzy8. Fuzzy1 handles 1 segment rules such as close rises or open drops sharply. Fuzzy2 handles 2 segment rules such as close rises, then drops sharply. Fuzzy3 is for 3 segment rules such as open rises, then drops, then remains steady, etc. Example of the Fuzzy2 indicator output (bar chart at the bottom). The search rule is Close rises, then drops, Segment Size8 bars, and Max Change7. There are 3 FuzzyOR rules and 3 FuzzyAND rules: FuzzyOR2, FuzzyOR3, FuzzyOR4, FuzzyAND2, FuzzyAND3, FuzzyAND4. As previously mentioned, these combine rules. For example, suppose you are looking for either a pattern that rises sharply then drops sharply, or a pattern that rises sharply, then remains steady, and then drops sharply. Then you would use a FuzzyOR2 indicator which takes as arguments a Fuzzy2 indicator and a Fuzzy3 indicator, each specifying their respective rules. FuzzyOR and FuzzyAND indicators may take other FuzzyOR and FuzzyAND indicators as arguments, as long as the lowest level indicators are rule indicators such as Fuzzy2. There are also 8 FuzzyGA indicators, which allow the genetic optimizer to tune the fuzzy logic engine better. We believe that Fuzzy Pattern Recognizer indicators open a whole new world of possibilities in trading with artificial intelligence. We think it will be our most popular add-on yet The Fuzzy Pattern Recognizer add-on requires release 3.2 or better of the NeuroShell Trader, NeuroShell Trader Professional, or NeuroShell DayTrader Professional. If you do not own one of the Pro versions, you can still use the Fuzzy Pattern Recognizer add-on to find patterns, but you will not be able to optimize the Fuzzy indicators. Fuzzy Sets Youve asked for it, and now it is here: the Fuzzy Sets add-on for NeuroShell Trader Professional and DayTrader Professional. Fuzzy logic was invented by L.A. Zadeh and further popularized by Bart Kosko. Fuzzy logic is not some theoretical idea that has yet to catch on. By 1990 the Japanese had over 100 real fuzzy control applications and products. The city of Sendai in Japan has controlled its subway with fuzzy logic since 1988. General Motors highly successful Saturn applies fuzzy logic for automatic transmission shift control. Duke University engineers have shown that intentionally imprecise rules of thinking can help hotel computers sell the right room to the right customer at the right time, thus boosting income. Ward Systems Group introduced what we believe was the first commercial trading software to allow users to describe price movements with fuzzy logic statements (the Fuzzy Pattern Recognizer add-on). A user could essentially give NeuroShell instructions such as: Find patterns where the price rose, then dropped, then dropped sharply, then rose sharply. The new Fuzzy Sets add-on is somewhat different in that it allows users to describe a combination of values of traditional indicators with fuzzy logic. With Fuzzy Sets the user can instruct NeuroShell with functions equivalent to fuzzy statements like: Buy when the Stochastic K indicator is very high, and the Commodity Channel Index is high, and the spread between two moving averages is low. Contrast that with the typical trading utilization of an indicator is to make decisions based upon rules like whether that indicator (lets say the Stochastic K) is above or below some threshold. For example: Buy when the STOCHK 70 and sell when the STOCHK 0) or dont buy ( B indicator. Generalization These nets generalize very well, meaning they do not have a strong tendency to overfit or curvefit like backpropagation neural nets do. Neural Indicators require the NeuroShell Trader Professional or NeuroShell DayTrader Professional, release 3.2 or better. Pattern Matcher The Pattern Matcher add-on grew out of many requests by users who wanted to know if patterns in their data streams had occurred before in history, and if so, what type of activity followed those historical patterns. Some users also wanted to identify a pattern in history and be alerted when a similar pattern occurs in the future. The Pattern Matcher add-on meets both needs by providing indicators that match patterns and revealing the subsequent activity. Pattern Matcher indicators work on any data stream in the NeuroShell Trader, Trader Professional, or DayTrader Professional. The Pattern Matcher can find patter ns in raw price data streams or indicators made from raw data streams. It is often advantageous to match patterns in indicators applied to prices rather than to the prices themselves, as you will see in a subsequent section of this document. The Pattern Matcher is unlike any of our other add-ons in that it is not designed for use in either a neural network or a trading strategy to make buysell decisions. It is intended that the user treat the Pattern Matcher as an intellectual tool to provide input to ones own biological neural networks for discretionary trading, or as confirmation of other signals you may be obtaining in other ways. So what does this mean It means that the Pattern Matcher is designed to provide answers to the questions that have plagued technical analysts since long before computers were born: Has the current pattern that we see in the most recent bars occurred in the past If so how many times, and how closely do those past patterns match the current one If there were a number of closely matching patterns in the past, what type of market moves did they precede on average You will be making your own subjective decisions about whether or how to trade based on the information the Pattern Matcher is showing you. These subjective judgments will be based on your own study and experience watching similar patterns, and based upon your decisions about what data streams in which to watch for patterns. Price streams (like open, high, low, close, and volume) may not be the proper data streams to be monitoring for patterns. Indicator data streams, in our experience, seem to provide a more reproducible pattern source. At Ward Systems, we have used the Pattern Matcher in the way just described. We have found that there is less value in trying to feed Pattern Matcher input into either neural nets or rules. We believe the tool is a powerful resource which will help you even the playing field, so to speak, as you compete with professional traders who have years of experience recognizing and reacting to patterns in the markets. They rely on their memories and intuition - you now have an analytic tool to bring to odds of success more in your favor. Furthermore, you should not assume that past patterns are an indicator of future performance. The pattern matcher may very well be a powerful tool for the contrarian trader too. The markets are quite capable of reversing what usually happens after recurring patterns. If this were not true, it would be easy to predict and make money in the markets, and we all know that it isnt easy. Overview of Indicators The following descriptions of Pattern Matcher Indicators are abbreviated. There are more comprehensive descriptions in the help file. Match - The Match indicator takes a very recent pattern on the chart and displays the probability that other patterns in history on the chart match that current pattern. MatchPast - The MatchPast indicator takes a designated pattern on the chart and displays the probability that other patterns in both history and future on the chart match that designated pattern. ProjectAvg - The Project Average indicator returns the average of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectMin - The Project Average indicator returns the minimum of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectMax - The Project Average indicator returns the maximum of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectStndDev - The Project Standard Deviation indicator returns the standard deviation of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectRange - The Project Range indicator returns the range of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectUpperB - The Project Upper Band indicator returns the upper envelope of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectLowerB - The Project Lower Band indicator returns the lower envelope of all projections (leads) of the projection series for all pattern matches that are greater than the indicated projection threshold. ProjectCount - Given a projection threshold, the Project Count indicator returns the total number of matches between the current pattern and patterns in history. ProjectPercent - Given a projection threshold, the Project Percent indicator returns the percentage of total number of matches between the current pattern and patterns in history. Turning Points The Turning Points add-on for the NeuroShell Trader series is based on the concept of finding local peaks and valleys in a price series. A turning point (TP) peak is defined as the point where the high is higher than or equal to any other highs in the neighborhood of the point. A turning point valley is defined as the point where the low is lower than or equal to any other lows in the neighborhood of the point. The above definitions are illustrated by an example graph below. The add-on contains indicators that do all of the following with respect to these turning points: Plot straight lines from one turning point to the next Plot support and resistance lines horizontally from the peaks and valleys Compute an oscillator which shows how the current close compares to a number of previous support or resistance levels Plot horizontal Fibonacci retracement lines calculated from peak to valley or valley to peak segments Compute statistical measures (mean, median, and standard deviation) of the price differences, time differences, and slope differences between turning points in a user-defined window Provide the probability that the current price level is at a new turning point based upon either of two of the computed statistical measures We are especially fond of the probability indicators above, because many issues exhibit repeating cyclic tendencies which can be captured with this technique. Of course, news and other factors can affect normal cyclic tendencies, and not every signal generated will be correct. However, there is plenty of capability in this add-on to build trading strategies that even we havent thought of yet. Following is a complete list of the indicators in the Turning Points add-on: Turning Point Plot Indicator Tpplot Individual Turning Point Measure Indicators TPbars TPchange TPpercent TPslope Turning Point Probability Indicators Peak probability ( change) Valley probability ( change) Peak probability (bars) Valley probability (bars) Mean Indicators PVmeanbars VPmeanbars PVmeanchange VPmeanchange PVmeanpercent VPmeanpercent PVmeanslope VPmeanslope Standard Deviation Indicators PVsdbars VPsdbars PVsdchange VPsdchange PVsdpercent VPsdpercent PVsdslope Vpsdslope Median Indicators PVmedianbars VPmedianbars PVmedianchange VPmedianchange Pvmedianpercent VPmedianpercent PVmedianslope Vpmedianslope Support and ResistanceSupport Level Support Level Resistance Level Support Oscillator Resistance Oscillator Fibonacci Retracements The Turning Points add-on requires the NeuroShell Trader, NeuroShell Trader Professional, or NeuroShell DayTrader Professional, release 3.8 or better.
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