KUBE master setup

 root@kubernetes-master:/home/ubuntu# history

    1  swapoff -a

    2  exit

    3  swapoff -

    4  swapoff -a

    5  rm -rf /swap.img

    6  exit

    7  sudo apt update

    8  sudo apt install docker.io

    9  sudo systemctl enable docker

   10  sudo systemctl start docker

   11  sudo systemctl enable docker

   12  sudo apt install apt-transport-https curl

   13  curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add

   14  sudo apt-add-repository "deb http://apt.kubernetes.io/ kubernetes-xenial main"

   15  sudo apt install kubeadm kubelet kubectl kubernetes-cni

   16  sudo swapoff -a

   17  vi /etc/fstab

   18  sudo hostnamectl set-hostname kubernetes-master

   19  sudo kubeadm init

   20  mkdir -p $HOME/.kube

   21  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config

   22  sudo chown $(id -u):$(id -g) $HOME/.kube/config

   23  kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

   24  kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/k8s-manifests/kube-flannel-rbac.yml

   25  kubectl

   26  kubectl get pods --all-namespaces

   27  kubectl get nodes

   28  kubectl get pods --all-namespaces

   29  kubectl

   30  sudo swapoff -a

   31  kubectl get nodes

   32  sudo -i

   33  kubectl get nodes

   34  ufw allow 6443/udp && ufw allow 6443/tcp

   35  kubectl get nodes

   36  sudo -i

   37  strace -eopenat kubectl version

   38  kubectl get nodes

   39  kubectl

   40  sudo dockerf ps

   41  sudo docker ps

   42  kubectl get src

   43  reboot

   44  kubectl get nodes

   45  history

KUBE worker SETUP

 root@kubernetes-worker:/home/ubuntu# history

    1  sudo apt update

    2  sudo apt install docker.io

    3  sudo systemctl start docker

    4  sudo systemctl enable docker

    5  sudo apt install apt-transport-https curl

    6  curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add

    7  sudo apt-add-repository "deb http://apt.kubernetes.io/ kubernetes-xenial main"

    8  sudo apt install kubeadm kubelet kubectl kubernetes-cni

    9  sudo swapoff -a

   10  sudo hostnamectl set-hostname kubernetes-worker

   11  hostname

   21  kubeadm join 172.3.230:6443 --token b683jdx2fpzby --discovery-token-ca-cert-hash sha256:57151584e5bfdc0a7168cadc19b298f5a5aab3f3ad90f5d0a2921d54

   22  history

root@kubernetes-worker:/home/ubuntu#

Algorithms trading live stock data

This is what I found on the internet:

There is no free lunch here in the data segment.

1)You have to get into the datafeed agreement with NSE. And Realtime datafeed is quite costlier as per year charges come around Rs: 20 lakh per exchange + Service Taxes.

2)Per user fee will be applicable depending upon how you are planning to monetize the datafeed. Normally per use fee for NSE cash/futures segment is Rs: 360/user and first 300 users will be waived off.

3)You have to define yourself as data vendor or data redistributor or you are planning to show the exchange data at free of cost.

4)You can lower you cost by getting the data from data redistributor(e.g globaldatafeeds) as normally your fee would be reduced by 20%. However still you have to get data vending agreement with NSE exchange. Without NSE’s permission you are not allowed to vend the data or redistribute the data even if you are doing it at free of cost. Otherwise you will be tagged as a illegal data vendor as per DOTEX.

5)Only Data Redistributor (aka Authorized data vendors like globaldatafeeds, esignal, bloomberg...etc) develop their own API not the exchange itself.

6)However if you are looking for low cost options then you can prefer snapshot data or 15min delayed datafeeds. And the same above rules are applicable for most of the exchanges.

Ansible agent like Chef

 

By default ansible does not have agent .

We can use SDP solutions like zerotier as alternative.

My First Flight (The real bird’s-eye view)

Ha ha !!!!!!!!

Memories are still fresh !!!!!

it's been so long as a fresher I joined an IT company as a software engineer at Bengaluru. I used to trip between cities via bus or train.

I was waiting for a chance to travel by flight which never happened.

One fine day I got a call from my manager that I would be travelling to Chandigarh for some project work and I need to report in a week time.

Next day was thinking about how to travel it’s almost 2500 km travel and I received a call from my manager asking travel details and I informed him of the concerns.

Manager giggled and said that I would be travelling by flight and expenses will be taken care of. I was so happy and bit nervous to travel by flight as I need to travel alone and that was my first time to travel that distance that too by flight.

Somehow I managed to book a flight and I reached the airport And the entire environment was new to me the boarding protocols and the security checks.

I got my boarding pass and went to that lobby and I was told that my flight will departure in next half an hour and I was waiting for that flight.

Cleared the checks and the moment I entered into the flight all those nervousness increased and my heart started pumping. got a window seat took few pictures through flight windows asked someone to take a pic of mine.  

Somehow I got adjusted To the environment everyone on got settled on their seats and Air hostess started instructing the safety instructions. Caption introduced himself and announced details about the journey.

Flight moved slowly on the runway and gradually increased speed OMG it was an awesome feeling the flight airborne. It was a smooth take-off and I saw the city from the sky the real BIRD’s-EYE view. 

I took snaps of city, clouds, Blue-sky just enjoyed every minute of flying journey continued for an hour and the flight landed with the thrill of its own and I got down from the flight. Yeah, that is one of best first-time experience of my life. 

Algorithmic Trading overview

Algorithmic trading means using computer to make investment decisions

Main players of algorithmic trading

Renaissance technologies

AQR capital management

Citadel Technologies

Python is the most popular programming language used for algorithmic trading 

Libraries

NumPy

Pandas

Requests

Xlsxwriter

Math

Algorithmic trading process 

1.collect data

2.develop a hypothesis for a strategy

3.Back test that Strategy

4.implement the strategy on production

Create Retirement Plan with Retirement Calculator

 

https://drive.google.com/file/d/1bp38XHwA_afT_vuS9ctogWYx3tZme8Bv/view