Learn how you can do simple Spot trading by calling the functions in the python-okx library on a Jupyter Notebook.1. How can I run Python code snippets on a Jupyter Notebook? The Jupyter Notebook is an incredibly powerful and easy-to-use tool for Python development and data analysis. You can run a Jupyter Notebook server on Windows, Mac OS or Linux. This tutorial provides a pretty comprehensive guide on how to get a Jupyter Notebook up and running.2. How can I install the python-okx package?

Customizable strategies: Carry trades (spot vs future/perp), futures spreads (future vs future/perp), call/put spreads, calendar spreads, butterfly spreads, condors, ratio spreads, diagonal spreads, back spreads. Options/volatility strategies: collars, straddles, strangles, covered call, protective put, synthetic futures. Creation of synthetic currency pairs by going long one name and short another. For example, BTC/USDT vs AVAX/USDT booked atomically create a synthetic BTC/AVAX pair.

Currently, we support: Spot vs Perpetual, Spot vs Futures, Perpetual vs Futures, and Futures vs Futures. Futures for now include Bi-Quarterly Futures and Quarterly Futures.3. How do I interpret the bid and ask prices on the spread tiles? The prices on the tiles indicate the spread between the filled prices of the two instruments after the trade is filled. The spread will be equal to the filled price of the further dated instrument minus the nearer dated instrument.

Trade all sorts of spreads: carry trades (spot vs future/perp), futures spreads (future vs future/perp), call/put spreads, calendar spreads, butterfly spreads, condors, ratio spreads, diagonal spreads, back spreads. Bespoke instruments: customize your own strategies with up to 20 legs.

This opens a menu for fields that take on specific values (expiry date or strike price), a text input for numerical values (quantity), or a button to flip values that can only take binary input (buy vs sell, put vs call, USDT vs Coin margined). The other is to either select on the value in the "product" column" or tab "add leg" below the final leg of your strategy.

Which address should I use now, XKO vs. 0x? Product support status Guidance Products that support XKO-prefix addresses • XKO-prefix addresses and 0x EVM addresses are supported simultaneously. • Users are recommended to prioritize using XKO-prefix addresses for a better product experience.

Whitelist vs. No-Verification Address: These settings are independent and do not affect each other. New Address Withdrawal Lock: If New Address Lock is enabled, newly added whitelist addresses cannot be used for withdrawals for 24 hours, adding extra security.

Comparison: Traditional Bank Accounts vs Web3 Wallets Category Traditional Bank Account Web3 Wallet Password recovery Reset by the bank Only recoverable via seed phrase or private key Asset control Custodied by the bank Fully controlled by the user Risk responsibility Partial compensation may apply User bears full responsibility Important Notes on Backing Up Seed Phrases and Private Keys To ensure the safety of your assets, please follow these best practices when backing up your seed phrase or private

Below are the best practices when it comes to handling risky situations: What the OKX Security Assistant displays when there's a riskSingle-item uninstall vs. one-click uninstall Single-item uninstall: suitable when there are only a few risk items and you want to confirm their sources one by one.

Let's use the comprehensive features available in python-okx at a higher level!Derivatives Types There are three types of derivatives available for trading on OKX: Expiry Perpetual Options You can head over to Bitcoin derivatives, explained: Expiry, perpetual and options to learn about the characteristics of different types of derivatives on OKX. In this tutorial, we'll use Perpetual as an example.FAQ1.

This speedup is due to the usage of the Plonky2 framework, which compiles Rust-coded circuits into efficient machine language instead of using slower Python scripts. We also enhanced Plonky2 to run some computations on GPUs, reducing the time by an extra 30%. Better auditability: With Version 2, we use a high-level framework that handles complex cryptographic details for us. This makes our code clearer, more readable, and less prone to errors.