trade | Reference implementation | Business library
kandi X-RAY | trade Summary
kandi X-RAY | trade Summary
A paradigm for financial applications. Reference implementation in Python.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of trade
trade Key Features
trade Examples and Code Snippets
public void plain() {
Order order = new Order();
order.setCustomer( "BigBank" );
Trade trade1 = new Trade();
trade1.setType( Trade.Type.BUY );
Stock stock1 = new Stock();
stock1.setSymbol( "IBM" );
@Subscribe
@AllowConcurrentEvents
private void handleNewStockTradeEvent(StockTrade trade) {
// publish to DB, send to PubNub, whatever you want here
final Set listeners;
synchronized (this.stockTradeListeners) {
private static Trade buildTrade( Stock stock, double price, Trade.Type buy ) {
Trade trade = new Trade();
trade.setType( buy );
trade.setStock( stock );
trade.setPrice( price );
return trade;
}
conn = tradeapi.stream.Stream(
key_id=api_key,
secret_key=api_secret,
base_url='https://paper-api.alpaca.markets',
data_feed='iex'
)
out = df.explode(df.columns.tolist()).reindex(['Reviewer_name','Review_date','Review_overall_rating','Review_title','Review_content'], axis=1)
Reviewer_name Review_date R
df = pd.DataFrame({'Profit': ['-$1\xa0000.00', '$605.00', '$680.00', '-$140.00 ']})
df['Profit'].str.replace('[^\d\.-]', '', regex=True).astype(float)
df['Profit'].str.replace('[$\xa0]', '', regex=True).astype(flo
(df['Part Information']
.join(df.drop(columns='Part Information', level=0)
.stack(0)
.rename_axis((None, 'Quarter'))
.reset_index(1))
)
Brand Model Part Grouping Part Desc V
df = pd.DataFrame()
for ticker in tickers:
data = client.get_my_trades(symbol=ticker)
da = pd.DataFrame(data)
df = pd.concat([df, da], axis=0, ignore_index=True, sort=False)
df.set_index("id", inplace=True)
s = df['amount'].mask(df['type'].eq('trade'))
s2 = s.fillna(0).groupby([df['account'], df['asset']]).cumsum()
df['holdPortfolio'] = s.mul(df['price']).fillna(s2.mul(df['price']))
account type asset amount
total_epochs = notebook.tqdm(range(no_epochs))
for epoch in total_epochs:
# Training
for i, (images, g_truth) in enumerate(train_data_loader):
model.train()
images = images.to(device)
g_truth = g_truth.to(d
Community Discussions
Trending Discussions on trade
QUESTION
I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name
, the ministers position
, the prestige
of that position, and the year
in which the minister had that given position.
My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name
and year
). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.
I want to create a dataset, where all the rows are unique combinations of name
and year
. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige
column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2
and prestige2
. In the example with Bertel Haarder the data should look like this:
(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)
Here's the dataset for creating a reproducible example with observations from 2010-2020:
...ANSWER
Answered 2021-Jun-08 at 14:04Reshape the data to wide format twice, once for position
and the other for prestige_1
, and join the two results.
QUESTION
I can get account details so my authentication appears correct but in trying to modify that code to create an order it returns a code 401 "msg":"Invalid KC-API-SIGN". The modification involved adding in the method and payload and changing endpoint (/api/vi/accounts) to endpoint2 (/api/v1/orders)
...ANSWER
Answered 2021-Jun-14 at 13:45Solved above problem here is the code to post a buy order on KuCoin:
QUESTION
I have use SkyFloatingLabelTextField and I want to vertically and horizontally center align text.
I have to write code but it aligns text only horizontally not vertically.
what I have tried is
...ANSWER
Answered 2021-Jun-14 at 09:00You have to change frame y position as bellow override function in SkyFloatingLabelTextField.swift file
QUESTION
I'm looking into using QuestDB for a large amount of financial trade data.
I have read and understood https://questdb.io/docs/guides/importing-data but my case is slightly different.
- I have trade data for multiple instruments.
- For each instrument, the microsecond-timestamped data spans several years.
- The data for each instrument is in a separate CSV file.
My main use case is to query for globally time-ordered sequences of trades for arbitrary subsets of instruments. For clarity, the results of a query would look like
...ANSWER
Answered 2021-Jun-13 at 22:11As of 6.0 you can simply append the CSVs to same table one by one given the table has designated timestamp and partitioned it will work.
If your CSVs are huge I think batching them in transactions with few million rows will be better than offloading billions at once.
Depending of how much data you have and your box memory you need to partition in a way that single partition fits memory several times. So you choose if you want daily or monthly partitions.
Once you decide with partitioning you can speed up the upload if you able to upload day by day batches (or month by month) from all CSVs.
You will not need to rebuild the table every time you add an instrument, table will be rewritten automatically partition by partition when you insert records out of order.
QUESTION
Im guessing this problem is because I don't know how to use async await effectively. I still dont get it and I've been trying to understand for ages. sigh.
Anyway, heres my function:
...ANSWER
Answered 2021-Jun-12 at 04:00As @jabaa pointed out in their comment, there are problems with an incorrectly chained Promise
in your getIdsToDecline
function.
Currently the function initializes an array called tempArray
, starts executing the trade offer query and then returns the array (which is currently still empty) because the query hasn't finished yet.
While you could throw in await
before tradeOfferQuery.get()
, this won't solve your problem as it will only wait for the tradeOfferQuery
to execute and the batch to be filled with entries, while still not waiting for any of the offerRef.get()
calls to be completed to fill the tempArray
.
To fix this, we need to make sure that all of the offerRef.get()
calls finish first. To get all of these documents, you would use the following code to fetch each document, wait for all of them to complete and then pull out the snapshots:
QUESTION
I am trying to recode my education variable from a factor with 18 levels to a factor with 7 levels,ranging from no qualification - GCSE D-G, GCSE A*-C- A Level -Undergraduate -Postgraduate - other.
...ANSWER
Answered 2021-Jun-11 at 21:40The syntax of the first command is wrong. Instead of bes[[bes$education]]
use bes$education
. Square brackets [[]]
are to be used with numbers of columns and $
symbol with their names. It's either [[]]
or $
but not both.
QUESTION
I have a database with a decently large amount of tick data of all 229 stocks in the S&P/TSX Composite Index. For reference, a single day's worth of data is about 13 million rows.
here's a snippet of data:
...ANSWER
Answered 2021-Jun-11 at 20:06I wish you gave some sample data to test with. Would you try a query like this:
QUESTION
I am trying to get the redirected URL that https://trade.ec.europa.eu/doclib/html/153814.htm leads to (a pdf file).
I've so far tried
...ANSWER
Answered 2021-Jun-11 at 06:54I think you should get a redirect link yourself (didn't found any way to do this with redirect), when you enter https://trade.ec.europa.eu/doclib/html/153814.htm it gives you HTML page with a redirect link, as for example you can extract it like this
QUESTION
Tl Dr. If I were to explain the problem in short:
- I have signals:
ANSWER
Answered 2021-Jun-11 at 04:07Following code adds a memory to the signals which can be wiped using MultiSig.reset()
to reset the count of all signals to 0. The memory can be queried using MultiSig.query_memory(key)
to return the number of hits for that signal at that time.
For the memory function to work, I had to add unique keys to the signals to identify them.
QUESTION
I'm trying to import some buys and sales into the chart. Ideally I would like to mark the candle and show the amount but I have two issues.
The first is that I keep getting "Array is too large. Maximum size is 100000" When I add many trades ( around 50 ) and the second is that I don't know how to display the amount.
I googled around and this is the code I managed to write but as mentioned is not working.
Is not a long or short strategy, I just need to move buys and sells into the chart
...ANSWER
Answered 2021-Jun-10 at 21:51You're exceeding the array limit because every bar you're unnecessarily adding the trade data to the arrays every bar. With the var array, you only need to do it once. Either nest the add_trade()
calls in if barstate.isfirst
or use array.from()
var int[] when_buy = array.from(timestamp('2021-06-01'), timestamp('2021-05-27'), etc....)
To display the amounts use label.new()
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install trade
You can use trade like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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