Notes from 31/8–7/9
if i was to extend this further, then one would think that your assumption that everything is independent needs to be checked first.
Comprehensive as ever
brilliant.Concept > Construction > Implementation
The current landscape of non-fungible tokens can be split into 4 groups: NFT publishers, NFT marketplaces, NFT infrastructure (as a term for tools to build NFT experiences with) and NFT resources. Let’s look at each of the groups:
Orchestration of smart contracts is a problem that repeats itself in most projects, and which most projects implement from scratch. Often the solutions implemented are nearly identical to each other.
While a canon emerges that we all can use to implement orchestration safely and efficiently, please use the examples in this article to understand and implement a solution for your requirements. Use the code in the example repository if it suits you.
The review itself is impressive, the actual crypto i’m not so sure
- Quadency is a multi-exchange crypto trading and automation platform.
- It supports top exchanges: Binance, Kucoin, OKEx, Kraken or Liquid.
- You can choose between 3 plans: HODL, Pro & Institutional.
- The platform is great to use for both beginners and professionals.
- Botsfolio automates your portfolio building and futures trading on your crypto assets without any technical or strategy setup.
- No configuration /inputs required, set your risk level and the bots start trading for you.
- Secure — money or assets never leave your exchange.
- Only works with Binance for now.
- Pricing based on the net portfolio being managed by bots.
As a user, you get 4 bots out of the box each with its own trading strategy, and they run in parallel. The 4 bots are
- Long bot — Looks for long term buying and selling opportunities and builds your portfolio over time using 80 to 90% of your net investment. Invests in around 10 cryptos diversified by factors / use cases.
- Scalper bot — Scalps for small opportunities, making a few bucks every few hours from very small price movements.
- Swinger bot — Determines price swings in one direction and takes larger positions for longer time frame to profit few times a week or month.
- Trendy Bot — Looks for clear price movement ranges and trades whenever the market is moving in a clear trend.
- Hedge Bot — Waits for high volatility to take hedged positions and earn funding from futures until the underlying asset takes a clear direction and then cancels one leg of the trade.
Google has already launched two Career Certificate courses for entry-level positions: Google IT Support and Google IT Automation with Python. About 85% of the 637,047 enrolled students left raving 5-star reviews.
Based on this success, Google is planning to launch three more courses: one for data analysts, one for product managers, and one for UX designers. You can choose to get notified when these courses come out on their website.
This is seriously impressive, completely turned it into a system
Speed. These solutions can be built in a tenth the time, and iterated on even faster. Sure, no code tools aren’t as extensible as code, but if you stick to what they’re good at, you can build incredibly fast.
Specificity. The more exciting difference, in my opinion, is the specificity of these solutions. When the person who feels the pain is also empowered to build the solution, the result is magical and utterly unique. Mass market software forces us to conform to a specific way of working. No longer. With no code tools, you can build a workflow that matches how you actually do your work.
- Reversible-Irreversible Decision Analysis
- Information Asymmetry
A golden rule for every communication would be to follow this structure:
- Start with the context, or the why. Why are you reaching out? What context should they have before they dive in?
- Outline the asks. Given that context, what inputs do you need from them? What outcomes/ actions do you expect?
- You start by stating objective facts or evidence that can be independently assessed or verified, i.e x% of your users don’t take a desired action, or your users are providing some negative feedback.
2. You present a few observations or hypotheses based on the factual evidence
3. You then outline a proposal (or better yet, ask for proposals) that can help address the problem.