Trading and Neural Network

NeuroEvolution of Augmenting Topologies (NEAT) bot in R Language:

Evolving Neural Networks through Augmenting Topologies – Part 4 of 4 – Trading Strategy


SP500 data sample =

Bot =


Technical Indicator

Alligator band =

Bank Investment based on Artificial Intelligence


run by eccentric roboticist Ben Goertzel

Aidyia was founded in Hong Kong in 2011 by computer scientists and financial market veterans. We deploy cutting edge artificial general intelligence (AGI) technology to identify patterns and predict price movements.

We plan to launch a US equities long/short fund in early 2015 and subsequent funds in other asset classes using the same AGI technology


Sentient Investment Management utilizes proprietary, patented artificial
intelligence technologies to spur continual evolution of its investment strategies.
Combining evolutionary intelligence technologies, deep learning algorithms and other techniques that identify and propagate the most successful strategies, SIM’s distributed artificial intelligence system is continuously processing and learning from enormous stockpiles of data, developing investment strategies in groundbreaking new ways.

Emma AI

Emma/MANSI, is an autonomous AI built on a CNN and trained using supervised & unsupervised learning, with the aim of augmenting financial, business analysis and consulting work for enterprises & professionals.
Emma understands context of a particular query through # (hashtags, currently English only).
Manulife’s LOFT is using deep learning to train a computer system so it can decipher natural language. –,,lang=en&artId=148874&navId=630002,00.html

iRobot Scooba 385

4-stage cleaning process:

  1. Preps – picks up dirt, sand and crumbs
  2. Washes – uses only clean solution to wash floors (mops just spread around dirty water)
  3. Scrubs – powerful brush removes dirt, grime and stuck-on messes
  4. Squeegees – lifts dirty water from floors

iRobot’s award-winning floor washing robot removes up to 98% of common household bacteria so floors get reliably clean with the touch of a button.
The Scooba 380 cleans up to 80 m2 or 3-4 rooms on a single battery charge. It navigates throughout each room using a powerful 4-stage cleaning system to prep, wash, scrub and squeegee sealed hardwood, tile and linoleum floors. Scooba uses only clean solution (tap water, water and vinegar or new Scooba Hard Floor Cleaner, Natural Enzyme Formula) to wash floors. It even cleans beneath cabinet edges, tables, chairs and other hard-to-reach places. The two included Virtual Walls mark off-limit areas. Also includes charging base and storage mat.


  • Ideal for homes with larger hard floor areas. Fully charged Advance Power Supply (APS) battery powers Scooba to clean 80 square meter per charge
  • One full tank washes up to 425 square meter before it requires refilling
  • Autonomous cleaning pattern covers each area of floor an average of 5 times
  • Cliff Sensing technology allows Scooba to avoid stairs and ledges
  • Virtual Walls create an infrared beam that Scooba will not cross (includes 2). Use Virtual Walls to mark off-limit areas in your home
  • Uses clean tap water, water and vinegar mixture or new Scooba Hard Floor Cleaner, Natural Enzyme Formula
  • Two-year manufacturer’s warranty

PixMania price is €399

Samsung Navibot SR8855

Tech Specs

Color – Dust Cover = Mirror Blue
Dust Collection – Type = Bagless
Performance – Cleaning Speed = 0.3 m / sec
Cleanig Efficiency (9 m2 @ 10 min) = 92%
Noise level = 73 dBA
Dust Capacity = 0.6 L
Power Control – Remote Controller = Yes
LED Display = Yes on Body
Battery Type = Ni-MH
  • Charging = 120 min
  • Cleaning time = 90 min
  • Auto Charging = Yes
Cleaning Mode =
  • Auto Clean (Self Cleaning) = Yes
  • Spot Cleaning = Yes
  • Manual Cleaning = Yes
  • Others = Yes

Side Brush = Yes (2ea)
Barrior Sensor = Yes
Cliff Sensors = Yes


  • Pre-Motor = Foam
  • Exhaust = HEPA


  • Dimension (W*H*D) = 360 x 360 x 105 mm
  • Weight Net = 4 Kg
  • Weight Gross = 7 Kg