I am doing a research on Uniswap, but I can't find explanations regarding its Swap UI.
What I want to know is what the 0.275% in the second row means.
I am well aware that Uniswap collects transaction fees for the liquidity pools, but the number I keep mentioning keeps changing and even seem to be positive at times.
Is the 0.275% a liquidity pool fee?
If you hover over the number it says The estimated difference between the USD values of input and output amounts. as you can see in the screenshot below:
You can read more about pricing in the uniswap docs.
Related
I am asking this question so that I want to easily know how many transactions occurred at a particular Bitcoin price. For example, at the price of $20T per BTC, how many are they?
There could be other ways finding this correlation, but my question is: Does the block stores this dollar value?
It does not.
Each block contains a list of transactions and other metadata such as block number, timestamp when it was mined, etc... But the fiat monetary value is not part of the block, nor a part of a transaction.
You'll also need to define a source of truth for the price. While a specific block was mined on a specific time, the price of Bitcoin at that specific time was slightly different on each exchange.
Example (values are made up):
Block number 500,000 was mined on 2022-01-01 00:00:00.
At this exact time, the highest bid on Binance was $19,990, the lowest ask on Binance was $20,000, the highest bid on Coinbase was $20,050, the lowest ask on Coinbase was $20,070, etc.
Exchanges and aggregation services (such as Coinmarketcap) often offer some average prices through their API for a specified timeframe. But there's no "one price of Bitcoin at a specified time".
I am reading through UniswapV2 docs and can't understand the inputs of addLiquidity method properly.
As listed in the docs:
amountAMin (uint): Bounds the extent to which the B/A price can go up before the transaction reverts. Must be <= amountADesired.
amountBMin (uint): Bounds the extent to which the A/B price can go up before the transaction reverts. Must be <= amountBDesired.
What does it mean? Can you please give an example? Let's say, I set amountADesired and amountBDesired to 4 and amountAMin and amountBMin to 1. What will happen?
blockchain transactions are not immediate, but must queue before being mined on the blockchain and be effective
When you add liquidity given amountADesired you have to give it amountBDesired in proportion to the existing pair (example pair: 2:1 you have to put 2 tokens A and 1 token B)
once you send the transaction, before it is mined it may happen that others make operations on that liquidity pool, changing the proportion accordingly
by entering amountAmin and amountBmin you are practically telling him: "as long as the proportion is between amountADesired:amountBDesired and amountAMin:amountBmin accepts my liquidity addition, if instead the proportion exceeds my range, cancel my transaction"
I find it troublesome to get "tech support", as that should come along with a $29 bill. I only have two simple questions to ask:
Can one choose the "area code" for phone numbers (a quick search on the Documentation does not yield any mentioning)
Can one run multiple free instances of Amazon connect, each occupying a unique phone number?
Short answer to Q1 and Q2
According to the kind reply, one can pick area code freely.
Yet, Amazon Connect mimics the model of a call center. Thus, incoming calls shall arrive at a single number.
Yes, when you claim a number you can specify an area code (assuming we are talking about US area codes)
Select “Phone Numbers” from the Routing menu
Choose “claim a number”
Enter a prefix (area code) to filter the list of available numbers with a specific area code.
NOTE: you may not get results for every area code. If you are looking for a new number in a specific area code that does not show results, you would need to open a support ticket to request a number in that area code.
You can one have one number for free per account, when you add the number to the second instance you will be charged the daily rate for the number.
I have a bit of a unique problem here. I currently have two warehouses that I ship items out of for selling on Amazon, my primary warehouse and my secondary warehouse. Shipping out of the secondary warehouse takes significantly longer than shipping from the main warehouse, hence why it is referred to as the "secondary" warehouse.
Some of our inventory is split between the two warehouses. Usually this is not an issue, but we keep having a particular issue. Allow me to explain:
Let's say that I have 10 red cups in the main warehouse, and an additional 300 in the secondary warehouse. Let's also say it's Christmas time, so I have all 310 listed. However, from what I've seen, Amazon only allows one shipping time to be listed for the inventory, so the entire 310 get listed as under the primary warehouse's shipping time (2 days) and doesn't account for the secondary warehouse's ship time, rather than split the way that they should be, 10 at 2 days and 300 at 15 days.
The problem comes in when someone orders an amount that would have to be split across the two warehouses, such as if someone were to order 12 of said red cups. The first 10 would come out of the primary warehouse, and the remaining two would come out of the secondary warehouse. Due to the secondary warehouse's shipping time, the remaining two cups would have to be shipped out at a significantly different date, but Amazon marks the entire order as needing to be shipped within those two days.
For a variety of reasons, it is not practical to keep all of one product in one warehouse, nor is it practical to increase the secondary warehouse's shipping time. Changing the overall shipping date for the product to the longest ship time causes us to lose the buy box for the listing, which really defeats the purpose of us trying to sell it.
So my question is this: is there some way in MWS to indicate that the inventory is split up in terms of shipping times? If so, how?
Any assistance in this matter would be appreciated.
Short answer: No.
There is no way to specify two values for FulfillmentLatency, in the same way as there is no way to specify two values for Quantity in stock. You can only ever have one inventory with them (plus FBA stock)
Longer answer: You could.
Sign up twice with Amazon:
"MySellerName" has an inventory of 10 and a fulfillment latency of 2 days
"MySellerName Overseas Warehouse" has an inventory of 300 and a fulfillment latency of 30 days
I haven't tried by I believe Amazon will then automatically direct the customer to the best seller for them, which should be "MySellerName" for small orders and "MySellerName Overseas Warehouse" for larger quantities.
Having implemented an algorithm to recommend products with some success, I'm now looking at ways to calculate the initial input data for this algorithm.
My objective is to calculate a score for each product that a user has some sort of history with.
The data I am currently collecting:
User order history
Product pageview history for both anonymous and registered users
All of this data is timestamped.
What I'm looking for
There are a couple of things I'm looking for suggestions on, and ideally this question should be treated more for discussion rather than aiming for a single 'right' answer.
Any additional data I can collect for a user that can directly imply an interest in a product
Algorithms/equations for turning this data into scores for each product
What I'm NOT looking for
Just to avoid this question being derailed with the wrong kind of answers, here is what I'm doing once I have this data for each user:
Generating a number of user clusters (21 at the moment) using the k-means clustering algorithm, using the pearsons coefficient for the distance score
For each user (on demand) calculating their a graph of similar users by looking for their most and least similar users within their cluster, and repeating for an arbitrary depth.
Calculating a score for each product based on the preferences of other users within the user's graph
Sorting the scores to return a list of recommendations
Basically, I'm not looking for ideas on what to do once I have the input data (I may need further help with that later, but it's not the point of this question), just for ideas on how to generate this input data in the first place
Here's a haymaker of a response:
time spent looking at a product
semantic interpretation of comments left about the product
make a discussion page about a product, brand, or product category and semantically interpret the comments
if they Shared a product page (email, del.icio.us, etc.)
browser (mobile might make them spend less time on the page vis-à-vis laptop while indicating great interest) and connection speed (affects amt. of time spent on the page)
facebook profile similarity
heatmap data (e.g. à la kissmetrics)
What kind of products are you selling? That might help us answer you better. (Since this is an old question, I am addressing both #Andrew Ingram and anyone else who has the same question and found this thread through search.)
You can allow users to explicitly state their preferences, the way netflix allows users to assign stars.
You can assign a positive numeric value for all the stuff they bought, since you say you do have their purchase history. Assign zero for stuff they didn't buy
You could do some sort of weighted value for stuff they bought, adjusted for what's popular. (if nearly everybody bought a product, it doesn't tell you much about a person that they also bought it) See "term frequency–inverse document frequency"
You could also assign some lesser numeric value for items that users looked at but did not buy.