What is Step Finance (STEP) | What is Step Finance token | What is STEP token

In this article, we’ll discuss information about the Step Finance project and STEP token

Step Finance is a portfolio visualisation platform which aggregates all LPs, tokens, farms and positions that a user may have associated with their wallet and displays it in an easy to use dashboard with various useful metrics and visualisations. Step aims to be the page which DeFi users have open all day with all the functions and information they need to make informed decisions.

Step will also enable users to interact directly with their favourite protocols from within the dashboard which could include farming, pools, swaps and automated strategies. Many of these value added services will be done for a fee which will be collected and used to buyback and distribute tokens to STEP tokenholders. Today we will discuss the tokenomics behind STEP token.

Base Functionality

Step must connect to the relevant Programs (smart contracts) built on Solana and query them to be able to get the information necessary to display to a user and execute transactions. Step’s core functions that are implemented or planned are:

Wallet balances:

Dashboard view of all tokens you have associated with an individual address with options to consolidate multiple wallet addresses into the one view and display value over time denominated in a selection of base currencies.

LP tokens view:

Get information related to current LP tokens you hold in Solana AMMs and visualise performance of the pools over time, vs base currency/hodling, fee revenue, impermanent loss, yield and APYs.

Yield Farming and Staking:

Step will provide a table of current yield farming opportunities on Solana with easy one-click entry into any of the farms. Enter, exit and claim yield farm rewards on this page. This page also handles single asset staking on Solana validator nodes.

DEX positions:

The base AMM from which all DEXes on Solana are using or forked from is Serum. This is a full orderbook DEX where users can buy and sell any supported token. Step will display current wallet balances, open orders, unsettled balances and any other related information to user positions in Serum.

Investment Strategies:

Step was founded in the February 2021 Solana Defi Hackathon as an automated strategy platform. This page will cover automated strategies like DCA, EMAs and RSIs and others which users can enter into with potential in future to enable users to make their own custom strategies.

Swap aggregation:

All Programs on Solana are composable and as such liquidity can be fragmented among various pools and AMM programs. It is therefore important to be able to ensure users get the best possible deal on their swaps and Step being a DeFi aggregator is well placed to offer swap aggregation from within Step.

Design

Design is crucial to STEP being the front page of the Solana ecosystem. The STEP team aims for Step.finance to be a page which is used everyday by everyone in the Solana ecosystem. Step will be something which will have coverage of all other projects on the Step dashboard, providing an easy to use ‘Wallet view’ for all the coins, LPs, farms and positions a user may have associated with their wallet.

Design Principles:

  • Dashboard should be high level view immediately for NET worth of users account
  • User should be able to interrogate the information to view the underlying values associated with their wallet.
  • People first, interactions should be natural and mirror how people already interact with DeFi.

Value Accrual

It is essential to the success of the project that STEP actually generates revenue and adds value to the token. Therefore there are several value accrual mechanisms for the token itself which will further generate positive interest and incentives in a positive feedback loop. The below is a list of value accrual mechanics that the team intend to implement on the Step platform:

Transaction fees: The most basic and simple value accrual is STEP taking a fee on certain interactions on the STEP platform (swaps, yield farms, automated strategies, bridges etc). The majority of this fee revenue goes to stakers of the STEP token (80%) with the remaining 20% sent to the treasury.

Buyback and distribute: The core value accrual mechanic of STEP is buyback of STEP tokens from revenue generated by transaction fees in the protocol which are then distributed to stakers. This gives a native APY for staking the STEP token and aligns incentives of tokenholders and the team with the success of the STEP platform. This is awarded proportionally to the liquidity an LP stakes in this pool.

Reducing supply emission rate: Supply emissions should reduce over time without any large cliffs (like evident with SWRV which did a 90% cliff in emissions that made their TVL fall from $700m to $3m and cause people to forget/leave the project). The optimal scenario is a gradual reduction in new emissions over time at a set rate. For STEP this emission reduction will be 4% weekly of the community and ecosystem reserve. With a steady or increasing demand and a falling emission rate there reaches an inflection point where buybacks volume is greater than new emissions creating NET positive buy pressure on the STEP token.

Aggregation: A core part of the Step Finance platform is being an aggregator for various user actions like AMM Swaps and Yield Farms. Step will implement a swap router on Solana for improved liquidity and price discovery in AMM swap pools and also offer a number of tools for yield farmers like single asset entry/exit into LPs, autocompounding yields and managed yield farm vaults. Fees collected for these services will flow back to STEP stakers.

Lockups: Incentivising users to take coins off the market is one way to reduce potential sell pressure and ensure given flat or growing demand that there is NET positive buy pressure. STEP intends to implement various lockup LP pools where tokens will be locked for a specified amount of time and be able to share in a higher rate of emissions or staking revenue compared with staking pools which allow immediate withdrawal.

Automated Trading Strategies: Step started as an automated strategy platform and our intent has always been to build out this functionality. There are various automated vaults and trading strategy contracts on Solana which STEP will be exposing to users on the Step dashboard. Step will charge a fee to enter and exit these vaults and potentially for some strategies a performance fee as well. These fees will accrue to STEP stakers.

Stake for Access: There are a number of investment indicators, analytics, portfolio insights which Step plans to make available to users who are stakers of STEP. Stake-for-access is a superior model to subscriptions or paid plans and adds additional value to STEP token holders.

Fiat-Defi integrations: Step intends to implement arms length widgets which can handle fiat on/off ramps into Solana via Step. This brings more money into the Step ecosystem, puts it to productive use in Step strategies and swaps and ensure Step remains a focal point for access into and out of the Solana ecosystem. Step has a fiat partner onboard for this once we are ready for development.

Referrals: Referrals are a growing value additive mechanism in the crypto world with DeFi projects such as 1INCH utilising it effectively. One user may refer others via a weblink and earn a share of the fees. Step intends to implement this system for Swaps and potentially other automated strategies.

Cross chain Integration: Being multi-chain capable is a core principle at STEP finance, there are several bridges under development on Solana, we will support all of them and likely take a small fee on each tx. Adding additional blockchains is a path towards more TVL, users, revenue streams for STEP…

Governance:

Step.finance has a core team of 3 who initially will guide the direction of the project. There will be no governance functions initially but the team is open to exploring further tokenholder involvement in the decision making process once STEP token is established.

  • It is important in the beginning of a project’s life that the founding team has control over the direction and development of the project. Only after reaching a phase in the project’s life where the direct day to day input of the founders are not necessary to the continued development of STEP would a governance DAO be considered.

Tokenomics

The STEP token ensures there is a clear alignment of incentives between users, tokenholders and the team so that Step can continue to grow in a sustainable and productive manner for the benefit of all DeFi users. It is therefore crucial that the $STEP token have strong fundamental value accrual structures in place which build value over time.

Overview:

Max Supply 1 000 000 000 STEP
Emission Period: 2 years
Weekly Emission Reduction: -4%
Airdrops % of Supply: 1%
Founders % of Supply: 20%
Founder Lockup: Lockup over 2 years vested in 25% increments every 6 months.
Treasury % of Supply: 12.219%
Presale Investors: 11.780%
Presale Lockup: 2 years vesting. 50% available after 1 year, 50% available year 2.
Community & Ecosystem % of Supply: 55% (LPs and Trade executors)
Token Type: SPL (Solana Native)

Principles:

  • Value accrual to the STEP token is key focus
  • 2 year emission schedule with 4% weekly reduction. Early risk takers rewarded and new supply entering circulation reduces over time and helps build long term value given static or growing buyback demand. Mirrors similar tokenomics of other yield aggregators (Harvest, Pickle, Yearn, etc).
  • No new emissions go to STEP native staking pool. This dilutes supply away from value productive TVL accruing activities.
  • ‘Trade Executors’ are defined as users who execute transactions on the Step platform which incur a fee. We may choose to incentivise this in future.
  • Community reward emissions % is split between LPs vs Exchange Executors weekly. The % split may change over time. Current split at launch is 60% to Trade Executors 40% to LP Stakers
  • The Treasury should be sustainable and have enough supply to pay for top talent.
  • 80% of fees on Step go to STEP stakers and 20% to the Treasury.

Staking and Buybacks:

  1. Step.finance will have a single asset pool for the STEP token.
  2. This pool receives NO emissions. It only receives income from revenue generated by step.finance
  3. Step will charge fees for services on step.finance with 80% of fees going to stakers and 20% to treasury.
  4. STEP also has incentivised liquidity pools which will receive new emissions. At launch this will be STEP/USDC and potentially RAY/STEP.

How and Where to Buy Step Finance (STEP)?

STEP has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT, BNB from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy STEP token.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

Next step - Transfer your cryptos to an Altcoin Exchange

Since STEP is an altcoin we need to transfer our coins to an exchange that STEP can be traded. Below is a list of exchanges that offers to trade STEP in various market pairs, head to their websites and register for an account.

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase STEP from the exchange: https://dex.projectserum.com

The top exchange for trading in STEP token is currently 

There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once STEP gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!

Top exchanges for token-coin trading. Follow instructions and make unlimited money

https://www.binance.com
 ☞ https://www.bittrex.com
 ☞ https://www.poloniex.com
 ☞ https://www.bitfinex.com
 ☞ https://www.huobi.com

Find more information STEP

WebsiteExplorerSource CodeSocial ChannelSocial Channel 2Coinmarketcap

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you

⭐ ⭐ ⭐ What You Should Know Before Investing in Cryptocurrency - For Beginner ⭐ ⭐ ⭐

I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!

#bitcoin #cryptocurrency #step #step finance

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What is Step Finance (STEP) | What is Step Finance token | What is STEP token
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Matplotlib Cheat Sheet: Plotting in Python

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.

Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there. 

For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend to build more plotting integration with Matplotlib as time goes on.

However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib.   

DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python. 

You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots. 

Check out the infographic by clicking on the button below:

Python Matplotlib cheat sheet

With this handy reference, you'll familiarize yourself in no time with the basics of Matplotlib: you'll learn how you can prepare your data, create a new plot, use some basic plotting routines to your advantage, add customizations to your plots, and save, show and close the plots that you make.

What might have looked difficult before will definitely be more clear once you start using this cheat sheet! Use it in combination with the Matplotlib Gallery, the documentation.

Matplotlib 

Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.

Prepare the Data 

1D Data 

>>> import numpy as np
>>> x = np.linspace(0, 10, 100)
>>> y = np.cos(x)
>>> z = np.sin(x)

2D Data or Images 

>>> data = 2 * np.random.random((10, 10))
>>> data2 = 3 * np.random.random((10, 10))
>>> Y, X = np.mgrid[-3:3:100j, -3:3:100j]
>>> U = 1 X** 2 + Y
>>> V = 1 + X Y**2
>>> from matplotlib.cbook import get_sample_data
>>> img = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))

Create Plot

>>> import matplotlib.pyplot as plt

Figure 

>>> fig = plt.figure()
>>> fig2 = plt.figure(figsize=plt.figaspect(2.0))

Axes 

>>> fig.add_axes()
>>> ax1 = fig.add_subplot(221) #row-col-num
>>> ax3 = fig.add_subplot(212)
>>> fig3, axes = plt.subplots(nrows=2,ncols=2)
>>> fig4, axes2 = plt.subplots(ncols=3)

Save Plot 

>>> plt.savefig('foo.png') #Save figures
>>> plt.savefig('foo.png',  transparent=True) #Save transparent figures

Show Plot

>>> plt.show()

Plotting Routines 

1D Data 

>>> fig, ax = plt.subplots()
>>> lines = ax.plot(x,y) #Draw points with lines or markers connecting them
>>> ax.scatter(x,y) #Draw unconnected points, scaled or colored
>>> axes[0,0].bar([1,2,3],[3,4,5]) #Plot vertical rectangles (constant width)
>>> axes[1,0].barh([0.5,1,2.5],[0,1,2]) #Plot horiontal rectangles (constant height)
>>> axes[1,1].axhline(0.45) #Draw a horizontal line across axes
>>> axes[0,1].axvline(0.65) #Draw a vertical line across axes
>>> ax.fill(x,y,color='blue') #Draw filled polygons
>>> ax.fill_between(x,y,color='yellow') #Fill between y values and 0

2D Data 

>>> fig, ax = plt.subplots()
>>> im = ax.imshow(img, #Colormapped or RGB arrays
      cmap= 'gist_earth', 
      interpolation= 'nearest',
      vmin=-2,
      vmax=2)
>>> axes2[0].pcolor(data2) #Pseudocolor plot of 2D array
>>> axes2[0].pcolormesh(data) #Pseudocolor plot of 2D array
>>> CS = plt.contour(Y,X,U) #Plot contours
>>> axes2[2].contourf(data1) #Plot filled contours
>>> axes2[2]= ax.clabel(CS) #Label a contour plot

Vector Fields 

>>> axes[0,1].arrow(0,0,0.5,0.5) #Add an arrow to the axes
>>> axes[1,1].quiver(y,z) #Plot a 2D field of arrows
>>> axes[0,1].streamplot(X,Y,U,V) #Plot a 2D field of arrows

Data Distributions 

>>> ax1.hist(y) #Plot a histogram
>>> ax3.boxplot(y) #Make a box and whisker plot
>>> ax3.violinplot(z)  #Make a violin plot

Plot Anatomy & Workflow 

Plot Anatomy 

 y-axis      

                           x-axis 

Workflow 

The basic steps to creating plots with matplotlib are:

1 Prepare Data
2 Create Plot
3 Plot
4 Customized Plot
5 Save Plot
6 Show Plot

>>> import matplotlib.pyplot as plt
>>> x = [1,2,3,4]  #Step 1
>>> y = [10,20,25,30] 
>>> fig = plt.figure() #Step 2
>>> ax = fig.add_subplot(111) #Step 3
>>> ax.plot(x, y, color= 'lightblue', linewidth=3)  #Step 3, 4
>>> ax.scatter([2,4,6],
          [5,15,25],
          color= 'darkgreen',
          marker= '^' )
>>> ax.set_xlim(1, 6.5)
>>> plt.savefig('foo.png' ) #Step 5
>>> plt.show() #Step 6

Close and Clear 

>>> plt.cla()  #Clear an axis
>>> plt.clf(). #Clear the entire figure
>>> plt.close(). #Close a window

Plotting Customize Plot 

Colors, Color Bars & Color Maps 

>>> plt.plot(x, x, x, x**2, x, x** 3)
>>> ax.plot(x, y, alpha = 0.4)
>>> ax.plot(x, y, c= 'k')
>>> fig.colorbar(im, orientation= 'horizontal')
>>> im = ax.imshow(img,
            cmap= 'seismic' )

Markers 

>>> fig, ax = plt.subplots()
>>> ax.scatter(x,y,marker= ".")
>>> ax.plot(x,y,marker= "o")

Linestyles 

>>> plt.plot(x,y,linewidth=4.0)
>>> plt.plot(x,y,ls= 'solid') 
>>> plt.plot(x,y,ls= '--') 
>>> plt.plot(x,y,'--' ,x**2,y**2,'-.' ) 
>>> plt.setp(lines,color= 'r',linewidth=4.0)

Text & Annotations 

>>> ax.text(1,
           -2.1, 
           'Example Graph', 
            style= 'italic' )
>>> ax.annotate("Sine", 
xy=(8, 0),
xycoords= 'data', 
xytext=(10.5, 0),
textcoords= 'data', 
arrowprops=dict(arrowstyle= "->", 
connectionstyle="arc3"),)

Mathtext 

>>> plt.title(r '$sigma_i=15$', fontsize=20)

Limits, Legends and Layouts 

Limits & Autoscaling 

>>> ax.margins(x=0.0,y=0.1) #Add padding to a plot
>>> ax.axis('equal')  #Set the aspect ratio of the plot to 1
>>> ax.set(xlim=[0,10.5],ylim=[-1.5,1.5])  #Set limits for x-and y-axis
>>> ax.set_xlim(0,10.5) #Set limits for x-axis

Legends 

>>> ax.set(title= 'An Example Axes',  #Set a title and x-and y-axis labels
            ylabel= 'Y-Axis', 
            xlabel= 'X-Axis')
>>> ax.legend(loc= 'best')  #No overlapping plot elements

Ticks 

>>> ax.xaxis.set(ticks=range(1,5),  #Manually set x-ticks
             ticklabels=[3,100, 12,"foo" ])
>>> ax.tick_params(axis= 'y', #Make y-ticks longer and go in and out
             direction= 'inout', 
              length=10)

Subplot Spacing 

>>> fig3.subplots_adjust(wspace=0.5,   #Adjust the spacing between subplots
             hspace=0.3,
             left=0.125,
             right=0.9,
             top=0.9,
             bottom=0.1)
>>> fig.tight_layout() #Fit subplot(s) in to the figure area

Axis Spines 

>>> ax1.spines[ 'top'].set_visible(False) #Make the top axis line for a plot invisible
>>> ax1.spines['bottom' ].set_position(( 'outward',10))  #Move the bottom axis line outward

Have this Cheat Sheet at your fingertips

Original article source at https://www.datacamp.com

#matplotlib #cheatsheet #python

What is Step Finance (STEP) | What is Step Finance token | What is STEP token

In this article, we’ll discuss information about the Step Finance project and STEP token

Step Finance is a portfolio visualisation platform which aggregates all LPs, tokens, farms and positions that a user may have associated with their wallet and displays it in an easy to use dashboard with various useful metrics and visualisations. Step aims to be the page which DeFi users have open all day with all the functions and information they need to make informed decisions.

Step will also enable users to interact directly with their favourite protocols from within the dashboard which could include farming, pools, swaps and automated strategies. Many of these value added services will be done for a fee which will be collected and used to buyback and distribute tokens to STEP tokenholders. Today we will discuss the tokenomics behind STEP token.

Base Functionality

Step must connect to the relevant Programs (smart contracts) built on Solana and query them to be able to get the information necessary to display to a user and execute transactions. Step’s core functions that are implemented or planned are:

Wallet balances:

Dashboard view of all tokens you have associated with an individual address with options to consolidate multiple wallet addresses into the one view and display value over time denominated in a selection of base currencies.

LP tokens view:

Get information related to current LP tokens you hold in Solana AMMs and visualise performance of the pools over time, vs base currency/hodling, fee revenue, impermanent loss, yield and APYs.

Yield Farming and Staking:

Step will provide a table of current yield farming opportunities on Solana with easy one-click entry into any of the farms. Enter, exit and claim yield farm rewards on this page. This page also handles single asset staking on Solana validator nodes.

DEX positions:

The base AMM from which all DEXes on Solana are using or forked from is Serum. This is a full orderbook DEX where users can buy and sell any supported token. Step will display current wallet balances, open orders, unsettled balances and any other related information to user positions in Serum.

Investment Strategies:

Step was founded in the February 2021 Solana Defi Hackathon as an automated strategy platform. This page will cover automated strategies like DCA, EMAs and RSIs and others which users can enter into with potential in future to enable users to make their own custom strategies.

Swap aggregation:

All Programs on Solana are composable and as such liquidity can be fragmented among various pools and AMM programs. It is therefore important to be able to ensure users get the best possible deal on their swaps and Step being a DeFi aggregator is well placed to offer swap aggregation from within Step.

Design

Design is crucial to STEP being the front page of the Solana ecosystem. The STEP team aims for Step.finance to be a page which is used everyday by everyone in the Solana ecosystem. Step will be something which will have coverage of all other projects on the Step dashboard, providing an easy to use ‘Wallet view’ for all the coins, LPs, farms and positions a user may have associated with their wallet.

Design Principles:

  • Dashboard should be high level view immediately for NET worth of users account
  • User should be able to interrogate the information to view the underlying values associated with their wallet.
  • People first, interactions should be natural and mirror how people already interact with DeFi.

Value Accrual

It is essential to the success of the project that STEP actually generates revenue and adds value to the token. Therefore there are several value accrual mechanisms for the token itself which will further generate positive interest and incentives in a positive feedback loop. The below is a list of value accrual mechanics that the team intend to implement on the Step platform:

Transaction fees: The most basic and simple value accrual is STEP taking a fee on certain interactions on the STEP platform (swaps, yield farms, automated strategies, bridges etc). The majority of this fee revenue goes to stakers of the STEP token (80%) with the remaining 20% sent to the treasury.

Buyback and distribute: The core value accrual mechanic of STEP is buyback of STEP tokens from revenue generated by transaction fees in the protocol which are then distributed to stakers. This gives a native APY for staking the STEP token and aligns incentives of tokenholders and the team with the success of the STEP platform. This is awarded proportionally to the liquidity an LP stakes in this pool.

Reducing supply emission rate: Supply emissions should reduce over time without any large cliffs (like evident with SWRV which did a 90% cliff in emissions that made their TVL fall from $700m to $3m and cause people to forget/leave the project). The optimal scenario is a gradual reduction in new emissions over time at a set rate. For STEP this emission reduction will be 4% weekly of the community and ecosystem reserve. With a steady or increasing demand and a falling emission rate there reaches an inflection point where buybacks volume is greater than new emissions creating NET positive buy pressure on the STEP token.

Aggregation: A core part of the Step Finance platform is being an aggregator for various user actions like AMM Swaps and Yield Farms. Step will implement a swap router on Solana for improved liquidity and price discovery in AMM swap pools and also offer a number of tools for yield farmers like single asset entry/exit into LPs, autocompounding yields and managed yield farm vaults. Fees collected for these services will flow back to STEP stakers.

Lockups: Incentivising users to take coins off the market is one way to reduce potential sell pressure and ensure given flat or growing demand that there is NET positive buy pressure. STEP intends to implement various lockup LP pools where tokens will be locked for a specified amount of time and be able to share in a higher rate of emissions or staking revenue compared with staking pools which allow immediate withdrawal.

Automated Trading Strategies: Step started as an automated strategy platform and our intent has always been to build out this functionality. There are various automated vaults and trading strategy contracts on Solana which STEP will be exposing to users on the Step dashboard. Step will charge a fee to enter and exit these vaults and potentially for some strategies a performance fee as well. These fees will accrue to STEP stakers.

Stake for Access: There are a number of investment indicators, analytics, portfolio insights which Step plans to make available to users who are stakers of STEP. Stake-for-access is a superior model to subscriptions or paid plans and adds additional value to STEP token holders.

Fiat-Defi integrations: Step intends to implement arms length widgets which can handle fiat on/off ramps into Solana via Step. This brings more money into the Step ecosystem, puts it to productive use in Step strategies and swaps and ensure Step remains a focal point for access into and out of the Solana ecosystem. Step has a fiat partner onboard for this once we are ready for development.

Referrals: Referrals are a growing value additive mechanism in the crypto world with DeFi projects such as 1INCH utilising it effectively. One user may refer others via a weblink and earn a share of the fees. Step intends to implement this system for Swaps and potentially other automated strategies.

Cross chain Integration: Being multi-chain capable is a core principle at STEP finance, there are several bridges under development on Solana, we will support all of them and likely take a small fee on each tx. Adding additional blockchains is a path towards more TVL, users, revenue streams for STEP…

Governance:

Step.finance has a core team of 3 who initially will guide the direction of the project. There will be no governance functions initially but the team is open to exploring further tokenholder involvement in the decision making process once STEP token is established.

  • It is important in the beginning of a project’s life that the founding team has control over the direction and development of the project. Only after reaching a phase in the project’s life where the direct day to day input of the founders are not necessary to the continued development of STEP would a governance DAO be considered.

Tokenomics

The STEP token ensures there is a clear alignment of incentives between users, tokenholders and the team so that Step can continue to grow in a sustainable and productive manner for the benefit of all DeFi users. It is therefore crucial that the $STEP token have strong fundamental value accrual structures in place which build value over time.

Overview:

Max Supply 1 000 000 000 STEP
Emission Period: 2 years
Weekly Emission Reduction: -4%
Airdrops % of Supply: 1%
Founders % of Supply: 20%
Founder Lockup: Lockup over 2 years vested in 25% increments every 6 months.
Treasury % of Supply: 12.219%
Presale Investors: 11.780%
Presale Lockup: 2 years vesting. 50% available after 1 year, 50% available year 2.
Community & Ecosystem % of Supply: 55% (LPs and Trade executors)
Token Type: SPL (Solana Native)

Principles:

  • Value accrual to the STEP token is key focus
  • 2 year emission schedule with 4% weekly reduction. Early risk takers rewarded and new supply entering circulation reduces over time and helps build long term value given static or growing buyback demand. Mirrors similar tokenomics of other yield aggregators (Harvest, Pickle, Yearn, etc).
  • No new emissions go to STEP native staking pool. This dilutes supply away from value productive TVL accruing activities.
  • ‘Trade Executors’ are defined as users who execute transactions on the Step platform which incur a fee. We may choose to incentivise this in future.
  • Community reward emissions % is split between LPs vs Exchange Executors weekly. The % split may change over time. Current split at launch is 60% to Trade Executors 40% to LP Stakers
  • The Treasury should be sustainable and have enough supply to pay for top talent.
  • 80% of fees on Step go to STEP stakers and 20% to the Treasury.

Staking and Buybacks:

  1. Step.finance will have a single asset pool for the STEP token.
  2. This pool receives NO emissions. It only receives income from revenue generated by step.finance
  3. Step will charge fees for services on step.finance with 80% of fees going to stakers and 20% to treasury.
  4. STEP also has incentivised liquidity pools which will receive new emissions. At launch this will be STEP/USDC and potentially RAY/STEP.

How and Where to Buy Step Finance (STEP)?

STEP has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT, BNB from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy STEP token.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

Next step - Transfer your cryptos to an Altcoin Exchange

Since STEP is an altcoin we need to transfer our coins to an exchange that STEP can be traded. Below is a list of exchanges that offers to trade STEP in various market pairs, head to their websites and register for an account.

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase STEP from the exchange: https://dex.projectserum.com

The top exchange for trading in STEP token is currently 

There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once STEP gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!

Top exchanges for token-coin trading. Follow instructions and make unlimited money

https://www.binance.com
 ☞ https://www.bittrex.com
 ☞ https://www.poloniex.com
 ☞ https://www.bitfinex.com
 ☞ https://www.huobi.com

Find more information STEP

WebsiteExplorerSource CodeSocial ChannelSocial Channel 2Coinmarketcap

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you

⭐ ⭐ ⭐ What You Should Know Before Investing in Cryptocurrency - For Beginner ⭐ ⭐ ⭐

I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!

#bitcoin #cryptocurrency #step #step finance

Garry Taylor

Garry Taylor

1653464648

Python Data Visualization: Bokeh Cheat Sheet

A handy cheat sheet for interactive plotting and statistical charts with Bokeh.

Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn in the fact that it is an interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. 

Bokeh is also known for enabling high-performance visual presentation of large data sets in modern web browsers. 

For data scientists, Bokeh is the ideal tool to build statistical charts quickly and easily; But there are also other advantages, such as the various output options and the fact that you can embed your visualizations in applications. And let's not forget that the wide variety of visualization customization options makes this Python library an indispensable tool for your data science toolbox.

Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started.

In short, you'll see that this cheat sheet not only presents you with the five steps that you can go through to make beautiful plots but will also introduce you to the basics of statistical charts. 

Python Bokeh Cheat Sheet

In no time, this Bokeh cheat sheet will make you familiar with how you can prepare your data, create a new plot, add renderers for your data with custom visualizations, output your plot and save or show it. And the creation of basic statistical charts will hold no secrets for you any longer. 

Boost your Python data visualizations now with the help of Bokeh! :)


Plotting With Bokeh

The Python interactive visualization library Bokeh enables high-performance visual presentation of large datasets in modern web browsers.

Bokeh's mid-level general-purpose bokeh. plotting interface is centered around two main components: data and glyphs.

The basic steps to creating plots with the bokeh. plotting interface are:

  1. Prepare some data (Python lists, NumPy arrays, Pandas DataFrames and other sequences of values)
  2. Create a new plot
  3. Add renderers for your data, with visual customizations
  4. Specify where to generate the output
  5. Show or save the results
>>> from bokeh.plotting import figure
>>> from bokeh.io import output_file, show
>>> x = [1, 2, 3, 4, 5] #Step 1
>>> y = [6, 7, 2, 4, 5]
>>> p = figure(title="simple line example", #Step 2
x_axis_label='x',
y_axis_label='y')
>>> p.line(x, y, legend="Temp.", line_width=2) #Step 3
>>> output_file("lines.html") #Step 4
>>> show(p) #Step 5

1. Data 

Under the hood, your data is converted to Column Data Sources. You can also do this manually:

>>> import numpy as np
>>> import pandas as pd
>>> df = pd.OataFrame(np.array([[33.9,4,65, 'US'], [32.4, 4, 66, 'Asia'], [21.4, 4, 109, 'Europe']]),
                     columns= ['mpg', 'cyl',   'hp',   'origin'],
                      index=['Toyota', 'Fiat', 'Volvo'])


>>> from bokeh.models import ColumnOataSource
>>> cds_df = ColumnOataSource(df)

2. Plotting 

>>> from bokeh.plotting import figure
>>>p1= figure(plot_width=300, tools='pan,box_zoom')
>>> p2 = figure(plot_width=300, plot_height=300,
x_range=(0, 8), y_range=(0, 8))
>>> p3 = figure()

3. Renderers & Visual Customizations 

Glyphs 

Scatter Markers 
Bokeh Scatter Markers

>>> p1.circle(np.array([1,2,3]), np.array([3,2,1]), fill_color='white')
>>> p2.square(np.array([1.5,3.5,5.5]), [1,4,3],
color='blue', size=1)

Line Glyphs 

Bokeh Line Glyphs

>>> pl.line([1,2,3,4], [3,4,5,6], line_width=2)
>>> p2.multi_line(pd.DataFrame([[1,2,3],[5,6,7]]),
pd.DataFrame([[3,4,5],[3,2,1]]),
color="blue")

Customized Glyphs

Selection and Non-Selection Glyphs 

Selection Glyphs

>>> p = figure(tools='box_select')
>>> p. circle ('mpg', 'cyl', source=cds_df,
selection_color='red',
nonselection_alpha=0.1)

Hover Glyphs

Hover Glyphs

>>> from bokeh.models import HoverTool
>>>hover= HoverTool(tooltips=None, mode='vline')
>>> p3.add_tools(hover)

Color Mapping 

Bokeh Colormapping Glyphs

>>> from bokeh.models import CategoricalColorMapper
>>> color_mapper = CategoricalColorMapper(
             factors= ['US', 'Asia', 'Europe'],
             palette= ['blue', 'red', 'green'])
>>>  p3. circle ('mpg', 'cyl', source=cds_df,
            color=dict(field='origin',
                 transform=color_mapper), legend='Origin')

4. Output & Export 

Notebook

>>> from bokeh.io import output_notebook, show
>>> output_notebook()

HTML 

Standalone HTML 

>>> from bokeh.embed import file_html
>>> from bokeh.resources import CON
>>> html = file_html(p, CON, "my_plot")

>>> from  bokeh.io  import  output_file,  show
>>> output_file('my_bar_chart.html',  mode='cdn')

Components

>>> from bokeh.embed import components
>>> script, div= components(p)

PNG

>>> from bokeh.io import export_png
>>> export_png(p, filename="plot.png")

SVG 

>>> from bokeh.io import export_svgs
>>> p. output_backend = "svg"
>>> export_svgs(p,filename="plot.svg")

Legend Location 

Inside Plot Area 

>>> p.legend.location = 'bottom left'

Outside Plot Area 

>>> from bokeh.models import Legend
>>> r1 = p2.asterisk(np.array([1,2,3]), np.array([3,2,1])
>>> r2 = p2.line([1,2,3,4], [3,4,5,6])
>>> legend = Legend(items=[("One" ,[p1, r1]),("Two",[r2])], location=(0, -30))
>>> p.add_layout(legend, 'right')

Legend Background & Border 

>>> p.legend. border_line_color = "navy"
>>> p.legend.background_fill_color = "white"

Legend Orientation 

>>> p.legend.orientation = "horizontal"
>>> p.legend.orientation = "vertical"

Rows & Columns Layout

Rows

>>> from bokeh.layouts import row
>>>layout= row(p1,p2,p3)

Columns

>>> from bokeh.layouts import columns
>>>layout= column(p1,p2,p3)

Nesting Rows & Columns 

>>>layout= row(column(p1,p2), p3)

Grid Layout 

>>> from bokeh.layouts import gridplot
>>> rowl = [p1,p2]
>>> row2 = [p3]
>>> layout = gridplot([[p1, p2],[p3]])

Tabbed Layout 

>>> from bokeh.models.widgets import Panel, Tabs
>>> tab1 = Panel(child=p1, title="tab1")
>>> tab2 = Panel(child=p2, title="tab2")
>>> layout = Tabs(tabs=[tab1, tab2])

Linked Plots

Linked Axes 

Linked Axes
>>> p2.x_range = p1.x_range
>>> p2.y_range = p1.y_range

Linked Brushing 

>>> p4 = figure(plot_width = 100, tools='box_select,lasso_select')
>>> p4.circle('mpg', 'cyl' , source=cds_df)
>>> p5 = figure(plot_width = 200, tools='box_select,lasso_select')
>>> p5.circle('mpg', 'hp', source=cds df)
>>>layout= row(p4,p5)

5. Show or Save Your Plots  

>>> show(p1)
>>> show(layout)
>>> save(p1)

Have this Cheat Sheet at your fingertips

Original article source at https://www.datacamp.com

#python #datavisualization #bokeh #cheatsheet

Angelina roda

Angelina roda

1624219980

How to Buy NFT Art Finance Token - The EASIEST METHOD! DO NOT MISS!!! JUST IN 4 MINUTES

NFT Art Finance is currently one of the most popular cryptocurrencies right now on the market, so in today’s video, I will be showing you guys how to easily buy NFT Art Finance on your phone using the Trust Wallet application.
📺 The video in this post was made by More LimSanity
The origin of the article: https://www.youtube.com/watch?v=sKE6Pc_w1IE
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #nft art finance token #token #buy nft art finance #how to buy nft art finance token - the easiest method!

David mr

David mr

1624312800

SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

SPORE FINANCE PREDICTION - WHAT IS SPORE FINANCE & SPORE FINANCE ANALYSIS - SPORE FINANCE

In this video, I talk about spore finance coin and give my spore finance prediction. I talk about the latest spore finance analysis & spore finance crypto coin that recently has been hit pretty hard in the last 24 hours. I go over what is spore finance and how many holders are on this new crypto coin spore finance.
📺 The video in this post was made by Josh’s Finance
The origin of the article: https://www.youtube.com/watch?v=qbPQvdxCtEI
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #spore finance #what is spore finance #spore finance prediction - what is spore finance & spore finance analysis - spore finance #spore finance prediction