indicador volume spread analysis de tom william.

descomprimir antes de instalar para ver instrucciones. 

Gracias a Sim22 por su aporte. 

VSA basic suite. This does not include trademark VSA signals

Instructions:

1. This is V1.3. General programming fixes and improvements. The VSA chartstyle was modified due to errors when used in two or more tabs simultaneously, Just import over the original when asked.

2. Place a copy of the template here: "C:\Users\User\Documents\NinjaTrader 8\templates\Chart"..... or equivalent.

3. Start NT8.

4. Import Zip file.

5. Open new chart and apply the template.

6. Make sure you set your chart bars price marker to visible and set to the same color as your PriceLine plot color.

7. Enjoy


This has been tested to the best of my ability, but use at your own risk! If you can improve the code, then please share an improved copy :-)

   

  Sim22_VSA_Suite_NT8b6_BasicV1_(unzip_first).zip (Tamaño: 193.55 KB / Descargas: 677)

This is a diploma thesis from McGill university implementing an FPGA chess move generator for a chess playing program resembling Deep Blue's specialized ASICs.

http://digitool.library.mcgill.ca/webcli...580686~696
[url=http://digitool.library.mcgill.ca/webclient/StreamGate?folder_id=0&dvs=1492236580686~696][/url]
This thesis details the use of a programmable logic device to increase the playing strength of a chess program. The time-consuming task of generating chess moves
is relegated to hardware in order to increase the processing speed of the search algorithm. A simpler inter-square connection protocol reduces the number of wires
between chess squares, when compared to the DEEP BLUE design. With this interconnection scheme, special chess moyes are easily resolved. Furthermore...

 Aquí les va un indicador POC dinámico portado a NinjaTrader 8. Espero les resulte útil.


  dPoc_NT8.zip (Tamaño: 1.99 KB / Descargas: 343)
   

   

Es un libro de órdenes agradable a la vista. Se carga en un gráfico de un tick. La web del desarrollador ha sido cancelada, pero yo afortunadamente tenia una salva de ella. Grafica tanto el libro de órdenes como los acumulativos por precios. Muy buen indicador.

   

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  OLDomV2.2.zip (Tamaño: 25.59 KB / Descargas: 314)
  template 1LDOM.zip (Tamaño: 3.07 KB / Descargas: 283)

scroll lite y price line para el trabajo con acción del precio. Espero sea de utilidad. 

Scrolls_Lite ( Vertical Drag/AutoScroll) ...

ScrollsLite is simplified version of original Vertical Scroll Tools from last year.
I have removed some unnecessary code/objects/features but still maintaining basic needed functionality,

* Vertical Scroll Bar, AutoScroll Button and Vertical Drag Buttons removed.
* Vertical Drag and AutoScroll native enabled.
* Only extreme Mode of AutoScroll, Center Mode removed.
* Vertical Drag will automatically disable AutoScrolling and hence to re-enable it, just hit
Chart Canvas Top by mouse cursor.
* Tied to only right side scale.
* Instrument change fix hack removed.

So this Lite version carries only basic needed Vertical Drag and AutoScrolling functionality.


Attached is a cleaned up version of my original NT 6 indicator which now works in NT 7.0.1000.7

I did not make the conversion and want to send a "big thank you!" out to the person who did.

I...

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Miniatura(s)
   

  PriceLine.zip (Tamaño: 8.14 KB / Descargas: 67)
  ScrollsLite.zip (Tamaño: 2.76 KB / Descargas: 99)

   

aquí les mando un tipo de order flow que mantiene señalizados los clústeres de volumen, Me parece interesante, pero yo no lo uso. Pero puede ser de utilidad para algunos. 

lo acompañamos de un template chart propio. 

saludos.


  ClusterChart_1.0.1.1.zip (Tamaño: 42.96 KB / Descargas: 220)

  ClusterVolume_1.0.8.0.zip (Tamaño: 40.44 KB / Descargas: 253)

Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning,
but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to
the lack of an external memory. Here we introduce a machine learning model called a differentiable neural computer
(DNC), which consists of a neural network that can read from and write to an external memory matrix, analogous to the
random-access memory in a conventional computer. Like a conventional computer, it can use its memory to represent
and manipulate complex data structures, but, like a neural network, it can learn to do so from data. When trained
with supervised learning, we demonstrate that a DNC can successfully answer synthetic questions designed to emulate
reasoning and inference problems in natural language. We show that it can learn tasks such as finding the shortest
path between specified points and inferring the missing links in random...

This is a free(MIT licensed) vWap indicator for NinjaTrader 7

https://en.wikipedia.org/wiki/Volume-wei...rage_price

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  VitVWAP-1.0.2.zip (Tamaño: 3.8 KB / Descargas: 202)

Basically the optimization is to replace Tan sigmoid that is computationally expensive by the fast elliot sigmoid

https://www.mathworks.com/help/nnet/ug/o...hworks.com

This paper constructs fully parallel NN hardware architecture, FPGA has been used to reduce neuron hardware by design the activation function inside the neuron without using
lookup table as in most researches, to perform an efficient NN. It consist of two main parts; the first part covers network training using MATLAB program, the second part represents the
hardware implementation of the trained network through Xilinx high performance Virtex2 FPGA schematic entry design tools.

Archivos adjuntos

  neural network FPGA.pdf (Tamaño: 696.85 KB / Descargas: 6)