books/manual/SUMMARY.md

@@ -11,7 +11,7 @@
       - [Node Finder](dashboard/deploy/node_finder.md)
       - [Virtual Machines](dashboard/solutions/vm_intro.md)
         - [Micro and Full VM Differences ](dashboard/solutions/vm_differences.md)
-        - [Full Virtual Machine](dashboard/solutions/fullVm.md)
+        - [Full Virtual Machine](dashboard/solutions/fullvm.md)
         - [Micro Virtual Machine](dashboard/solutions/microvm.md)
         - [Nixos MicroVM](dashboard/solutions/nixos_micro.md)
         - [Add a Domain](dashboard/solutions/add_domain.md)
@@ -254,6 +254,7 @@
         - [IPFS on a Micro VM](system_administrators/advanced/ipfs/ipfs_microvm.md) 
       - [MinIO Operator with Helm3](system_administrators/advanced/minio_helm3.md)
       - [AI & ML Workloads](system_administrators/advanced/ai_ml_workloads.md)
+      - [Hummingbot](system_administrators/advanced/hummingbot.md)
   - [ThreeFold Token](threefold_token/threefold_token.md)
     - [TFT Bridges](threefold_token/tft_bridges/tft_bridges.md)
       - [TFChain-Stellar Bridge](threefold_token/tft_bridges/tfchain_stellar_bridge.md)

collections/cloud/grid_billing/grid_billing.md

@@ -247,7 +247,7 @@ Contract cost/hour = CU cost/hour + SU cost/hour
 
 ### Applying the Dedicated Node Discount
 
-There's a default `50%` discount for renting a node, this discount is not related to the staking discount. For more information on dedicated node discounts, please [read this section](dedicated_machines.md).
+There's a default `50%` discount for renting a node, this discount is not related to the staking discount. For more information on dedicated node discounts, please [read this section](dashboard@@node_finder).
 
 ```
 Cost with 50% discount = 35.72532 * 0.5

collections/dashboard/deploy/vm.md

@@ -9,5 +9,5 @@ On the TFGrid, you can deploy both micro and full virtual machines.
 <h2> Table of Contents </h2>
 
 - [Micro and Full VM Differences ](vm_differences.md)
-- [Full Virtual Machine](fullVm.md)
-- [Micro Virtual Machine](vm.md)
+- [Full Virtual Machine](fullvm.md)
+- [Micro Virtual Machine](microvm.md)

collections/dashboard/solutions/basic_environments_readme.md

@@ -4,8 +4,8 @@
 
 - [Virtual Machines](vm_intro.md)
   - [Micro and Full VM Differences ](vm_differences.md)
-  - [Full Virtual Machine](fullVm.md)
-  - [Micro Virtual Machine](vm.md)
+  - [Full Virtual Machine](fullvm.md)
+  - [Micro Virtual Machine](microvm.md)
 - [Kubernetes](k8s.md)
 - [NixOS MicroVM](nixos_micro.md)
 - [Add a Domain](add_domain.md)

collections/dashboard/solutions/fullvm.md

@@ -43,7 +43,7 @@ Deploy a new full virtual machine on the Threefold Grid
   - `Myceluim` to enable mycelium on the virtual machine
   - `Wireguard Access` to add a wireguard access to the Virtual Machine
 - `GPU` flag to add GPU to the Virtual machine
-  - To deploy a Full VM with GPU, you first need to [rent a dedicated node](dashboard@@dedicated_machines)
+  - To deploy a Full VM with GPU, you first need to [rent a dedicated node](node_finder.md#dedicated-nodes)
 - `Dedicated` flag to retrieve only dedicated nodes 
 - `Certified` flag to retrieve only certified nodes 
 - Choose the location of the node

collections/dashboard/solutions/nextcloud.md

@@ -63,7 +63,7 @@ If you're not sure and just want the easiest, most affordable option, skip the p
     * **Recommended**: {cpu: 4, memory: 16gb, diskSize: 1000gb }
     * Or choose a **Custom** plan
 * If want to reserve a public IPv4 address, click on Network then select **Public IPv4**
-* If you want a [dedicated](dedicated_machines.md) and/or a certified node, select the corresponding option
+* If you want a [dedicated node](node_finder.md#dedicated-nodes) and/or a certified node, select the corresponding option
 * Choose the location of the node
    * `Country`
    * `Farm Name`

collections/dashboard/solutions/solutions.md

@@ -7,8 +7,8 @@ This section provides a non-code easy way to deploy a whole solution on the TFGr
 - [Basic Environments](basic_environments_readme.md)
   - [Virtual Machines](vm_intro.md)
     - [Micro and Full VM Differences](vm_differences.md)
-    - [Full Virtual Machine](fullVm.md)
-    - [Micro Virtual Machine](vm.md)
+    - [Full Virtual Machine](fullvm.md)
+    - [Micro Virtual Machine](microvm.md)
   - [Kubernetes](k8s.md)
   - [NixOS MicroVM](nixos_micro.md)
 - [Ready Community Solutions](ready_community_readme.md)

collections/farmers/3node_building/gpu_farming.md

@@ -65,7 +65,7 @@ You can use the [Node Finder](dashboard@@node_finder) on the [TF Dashboard](http
 
 ## Reserving the GPU Node
 
-Now, users can reserve the node in the **Dedicated Nodes** section of the Dashboard and then deploy workloads using the GPU. For more information, read [this documentation](dedicated_machines.md).
+Now, users can reserve the node using the **Node Finder** of the Dashboard and then deploy workloads using the GPU. For more information, read [this documentation](dashboard@@node_finder).
 
 ## Questions and Feedback
 

collections/farmers/farming_optimization/set_additional_fees.md

@@ -11,7 +11,7 @@
 
 ## Introduction
 
-Farmers can set additional fees for their 3Nodes on the [TF Dashboard](https://dashboard.grid.tf/). By doing so, users will then be able to [reserve the 3Node and use it as a dedicated node](dashboard@@dedicated_machines).
+Farmers can set additional fees for their 3Nodes on the [TF Dashboard](https://dashboard.grid.tf/). By doing so, users will then be able to [reserve the 3Node and use it as a dedicated node](dashboard@@node_finder).
 This can be useful for farmers who provide additional values to their 3Nodes, e.g. a GPU card and/or high-quality hardware.
 
 ## Steps

collections/system_administrators/advanced/advanced.md

@@ -13,4 +13,5 @@ In this section, we delve into sophisticated topics and powerful functionalities
   - [IPFS on a Full VM](ipfs_fullvm.md)
   - [IPFS on a Micro VM](ipfs_microvm.md)
 - [MinIO Operator with Helm3](minio_helm3.md)
-- [AI & ML Workloads](ai_ml_workloads.md)
+- [AI & ML Workloads](ai_ml_workloads.md)
+- [Hummingbot](hummingbot.md)

collections/system_administrators/advanced/ai_ml_workloads.md

@@ -23,7 +23,7 @@ In the second part, we show how to use PyTorch to run AI/ML tasks.
 
 ## Prerequisites
 
-You need to reserve a [dedicated GPU node](../../dashboard/deploy/node_finder.md#dedicated-nodes) on the ThreeFold Grid.
+You need to reserve a [dedicated GPU node](dashboard@@node_finder) on the ThreeFold Grid.
 
 ## Prepare the System
 

collections/system_administrators/advanced/hummingbot.md

@@ -0,0 +1,80 @@
+<h1> Hummingbot on a Full VM </h1>
+
+<h2>Table of Contents</h2>
+
+- [Introduction](#introduction)
+- [Prerequisites](#prerequisites)
+- [Deploy a Full VM](#deploy-a-full-vm)
+- [Preparing the VM](#preparing-the-vm)
+- [Setting Hummingbot](#setting-hummingbot)
+- [References](#references)
+
+---
+
+## Introduction
+
+Hummingbot is an open source platform that helps you design, backtest, and deploy fleets of automated crypto trading bots.
+
+In this guide, we go through the basic steps to deploy a [Hummingbot](https://hummingbot.org/) instance on a full VM running on the TFGrid.
+
+
+## Prerequisites
+
+- [A TFChain account](../../../dashboard/wallet_connector.md)
+- TFT in your TFChain account
+  - [Buy TFT](../../../threefold_token/buy_sell_tft/buy_sell_tft.md)
+  - [Send TFT to TFChain](../../../threefold_token/tft_bridges/tfchain_stellar_bridge.md)
+
+## Deploy a Full VM
+
+We start by deploying a full VM on the ThreeFold Dashboard.
+
+* On the [Threefold Dashboard](https://dashboard.grid.tf/#/), go to the [full virtual machine deployment page](https://dashboard.grid.tf/#/deploy/virtual-machines/full-virtual-machine/)
+* Deploy a full VM (Ubuntu 22.04) with an IPv4 address and at least the minimum specs for Hummingbot
+  * IPv4 Address
+  * Minimum vcores: 1vcore
+  * Minimum MB of RAM: 4096GB
+  * Minimum storage: 15GB
+* After deployment, note the VM IPv4 address
+* Connect to the VM via SSH
+  * ``` 
+    ssh root@VM_IPv4_address
+    ```
+
+## Preparing the VM
+
+We prepare the full to run Hummingbot.
+
+* Update the VM
+   ```
+   apt update
+   ```
+* [Install Docker](../computer_it_basics/docker_basics.html#install-docker-desktop-and-docker-engine)
+
+## Setting Hummingbot
+
+We clone the Hummingbot repo and start it via Docker.
+
+* Clone the Hummingbot repository
+   ```
+   git clone https://github.com/hummingbot/hummingbot.git
+   cd hummingbot
+   ```
+* Start Hummingbot
+   ```
+   docker compose up -d
+   ```
+* Attach to instance
+   ```
+   docker attach hummingbot
+   ```
+
+You should now see the Hummingbot page.
+
+![](./img/hummingbot.png)
+
+## References
+
+The information to install Hummingbot have been taken directly from their [documentation](https://hummingbot.org/installation/docker/).
+
+For any advanced configurations, you may refer to the Hummingbot documentation.

collections/system_administrators/getstarted/ssh_guide/ssh_wireguard.md

@@ -25,7 +25,7 @@ Note that WireGuard provides the connection to the 3Node deployment. It is up to
 
 # Prerequisites
 
-Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
+Make sure to [read the introduction](tfgrid3_getstarted.md#get-started---your-first-deployment) before going further.
 
 * SSH client of your choice
   * [Open-SSH](ssh_openssh.md)
@@ -36,7 +36,7 @@ Make sure to [read the introduction](../tfgrid3_getstarted.md#get-started---your
 
 # Deploy a Weblet with WireGuard Access
 
-For this guide on WireGuard access, we deploy a [Full VM](fullVm.md). Note that the whole process is similar with other types of ThreeFold weblets on the Dashboard.
+For this guide on WireGuard access, we deploy a [Full VM](dashboard@fullvm). Note that the whole process is similar with other types of ThreeFold weblets on the Dashboard.
 
 * On the [Threefold Dashboard](https://dashboard.grid.tf/), go to: Deploy -> Virtual Machines -> Full Virtual Machine
 * Choose the parameters you want
@@ -102,7 +102,7 @@ To set the WireGuard connection on Windows, add and activate a tunnel with the W
 
 # Test the WireGuard Connection
 
-As a test, you can [ping](../../computer_it_basics/cli_scripts_basics.md#test-the-network-connectivity-of-a-domain-or-an-ip-address-with-ping) the virtual IP address of the VM to make sure the WireGuard connection is properly established. Make sure to replace `VM_WireGuard_IP` with the proper WireGuard IP address:
+As a test, you can [ping](cli_scripts_basics.md#test-the-network-connectivity-of-a-domain-or-an-ip-address-with-ping) the virtual IP address of the VM to make sure the WireGuard connection is properly established. Make sure to replace `VM_WireGuard_IP` with the proper WireGuard IP address:
 
 * Ping the deployment
     ```

collections/system_administrators/gpu/gpu.md

@@ -25,7 +25,7 @@ To use a GPU on the TFGrid, users need to rent a dedicated node. Once they have
 
 ## Filter and Reserve a GPU Node
 
-You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@dedicated_machines) of the **ThreeFold Dashboard**.
+You can filter and reserve a GPU node using the [Dedicated Nodes section](dashboard@@node_finder) of the **ThreeFold Dashboard**.
 
 ### Filter Nodes
 
@@ -52,7 +52,7 @@ When you have decided which node to reserve, click on **Reserve** under the colu
   
 ## Deploy a VM with GPU
 
-Now that you've reserverd a dedicated GPU node, it's time to deploy a VM to make use of the GPU! There are many ways to proceed. You can use the [Dashboard](fullVm.md), [Go](developers@@grid3_go_gpu), [Terraform](terraform_gpu_support.md), etc.
+Now that you've reserverd a dedicated GPU node, it's time to deploy a VM to make use of the GPU! There are many ways to proceed. You can use the [Dashboard](fullvm.md), [Go](developers@@grid3_go_gpu), [Terraform](terraform_gpu_support.md), etc.
 
 For example, deploying a VM with GPU on the Dashboard is easy. Simply set the GPU option and make sure to select your dedicated node, as show here:
 ![image](./img/gpu_3.png)

collections/system_administrators/system_administrators.md

@@ -83,4 +83,5 @@ For complementary information on ThreeFold grid and its cloud component, refer t
       - [IPFS on a Full VM](ipfs_fullvm.md)
       - [IPFS on a Micro VM](ipfs_microvm.md)
   - [MinIO Operator with Helm3](minio_helm3.md) 
-  - [AI & ML Workloads](ai_ml_workloads.md)
+  - [AI & ML Workloads](ai_ml_workloads.md)
+  - [Hummingbot](hummingbot.md)