Stats Page

  • Description :

    The goal of this project was to learn to integrate python into a website and render information from a database in javascript

    This project is composed of the following:

    • A python script that queries an api and extracts and modifies it so as to get the average price of the top 10 items being sold and saves it to a database.

    • The information in the database can then be used by the php server and create an API that will respond to Ajax requests.

    • Clientside javascript that will generate a graph and query the server for data via Ajax requests.

    I am using the Warframe Market API here since data is easily available, often updated, exploitable and has a manageable amount of items (2478) as opposed to databases containing real life items and prices owned by big corporations.

  • Technology and notions:

    PHP, Laravel 4.2, Python, NumPy, JQuery UI, Ajax, Bootstrap, Chart.js, JSON

  • Duration of the project :

    2nd February 2019 - 14th February 2019, in my free time.

  • What I learned from this project:
    • During this project I learned to use Ajax and how to make it "communicate" with a php server via JSON.

    • Python stuff like removing NaN values from an array in python using NumPy : a=np.nan_to_num(numlist[0:4])

    • Gained valuable experience using JQuery UI and JQuery

    • Discovered Chart.js and managed to apply a graph to represent a dataset

    • That you need to clean old data before clearing and refilling the graph otherwise you get old data polluting new graphs

Evolution of item prices over time


Manage items:

Statistics on the dataset

Highest priced itemsView in graph

Sacrificial Pressure5199

Arcane Vanguard Rhino Helmet528.25

Spring-Loaded Broadhead483.33

Wolf Sledge Set478.5

Exodia Valor478.33

Arcane Pendragon Excalibur Helmet465.67

Broken War Set380

Arcane Swindle Loki Helmet357.5

Arcane Coil Mag Helmet353

Strafing Slide350

Lowest priced itemsView in graph

Proof Fragment1

Heart Noctrul1

Tear Azurite1

Marquise Veridos1

Seismic Palm1

Star Crimzian1

Grineer Settlement Artillery Scene1

Fracturing Wind1

Star Amarast1

Cyan Ayatan Star1

Top risingView in graph

Prisma Veritux1374%

Ammo Drum436%

No Return400%

Sniper Scavenger366%

Shattering Impact325%

Pistol Scavenger244%

Rifle Scavenger225%

Lasting Sting216%

Perpetual Agony175%

Swipe150%

Dropping fastView in graph

Revenge-100%

Stradavar Prime Set-100%

Enhanced Vitality-87%

Large Sharrac-82%

Redirection-81%

Virtuos Forge-78%

Primed Quickdraw-76%

Magus Overload-75%

Steel Fiber-75%

Axi E1 Intact-71%

Stock Market Displaying 40/1827 items, ignoring items with 0% change.. (Refresh the page for different items) Sorted by difference

Virtuos Fury86%

Arcane Chlora Saryn Helmet54%

Hawk Eye50%

Steel Meridian Augment Mod25%

Hunter Command25%

Shell Compression25%

Dead Eye25%

Trinity Prime Blueprint21%

Arbiters of Hexis Augment Mod14%

Continuity12%

Concentrated Arrow11%

Neo S10 Intact7%

Reaping Chakram6%

Ember Prime Set6%

Loki Prime Systems5%

Valkyr Prime Systems4%

Tigris Prime Blueprint3%

Nikana Prime Set1%

Strun Wraith Stock-5%

Glaive Prime Set-6%

Sweeping Serration-7%

Braton Vandal Stock-10%

Madurai Lens-10%

Kogake Prime Set-11%

Peculiar Growth-14%

Strain Fever-14%

Neo N1 Intact-15%

Magma Chamber-16%

Combustion Rounds-17%

Guardian Derision-17%

Venka Prime Blades-20%

Heavy Caliber-28%

Shimmering Blight-29%

Lethal Momentum-34%

Shredder-34%

Meso A1 Intact-34%

Ballistica Prime Upper Limb-34%

Mischief-40%

Heavy Impact-50%

Steel Fiber-75%

Possible improvements and further ideas

  • Add a button to refresh the graph, to change the colors / fix errors
  • Add a button to reset the graph
  • Calculate the daily standard variation: here
  • Add a graph showing the hourly price variations for all items (averaged) over the course of a day
  • Make an application in Dart with Flutter.io to complement this page.
  • Add a loading screen to this page since data in the stock market tends to take time to load..
  • Apply seasonal adjustment to the data on the day to day basis.