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I Ran over to Plum Creek for some brookie fishing with Jack, my 4-year old son on Friday. Fished downstream near the water treatment plant. Upstream of this stretch were massive piles of rip rap for the yet to be “improved” section (sorry I forget to snap in pics). We pulled a few fish out of each of the first few holes on Panther Martin spinners. I didn’t get any pics of the fish because as we were setting up to shoot the first decent fish, Jack decided he didn’t want to hold the fish for pictures after it flipped out of his hands and scared him. After 45 minutes I heard the fateful words to end this chapter of our outing, Dad I’ve got to go poop! These are the normal issues that you deal with when taking a younger angler out, it was no big deal to us, it was still pretty hot out so we decided to go get ice cream and look at the trout pond in Plum City. If anyone is looking to camp streamside, there is camping available at American Legion Park just by the baseball field where you enter this pasture stretch.
We drove back to the Gas Lite Campground just south of Hwy 10 on the Trimbelle River. While it isn’t the most scenic spot just off of the highway it does provide good access to the stream for kid fishing.
The pool under the bridge is one of the better looking pools and we put our tent up about 50 feet from this promising looking spot.
It was just too hot out still so we opted to go back for a campfire and some dusk fishing back around the campground.
Picked up a few standard sized browns fishing 6-8am the next morning on PM’s.
Stopped by this easement section on the upper Trimbelle off of County Rd W, but looked too weedy for a 4-year old. It’s been on my to-do list for awhile and I’ll give it a shot at some point. I’m sure it rarely gets fished just like the rest of the Trimbelle. Twin cities anglers pass it up regularly for the superior water of the Rush 5 miles to the west.
We finished the trip at Lunds hardware to pick up a few PM’s and flies. I’m sure the spin guys will appreciate my son’s choice of spinners over flies, while standing in the fly aisle! The fishing wasn’t spectacular, but we didn’t care, we had a good trip nevertheless!


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The department initially said it would hold up funding of student loans for as long as 21 days to give it time to check on whether the students were eligible for the loans. Corinthian responded that such a delay would be fatal and damage its 72,000 students on 107 campuses. It said its finances were so perilous that it could not operate for more than a few days without an inflow of cash.
Even before the government action, Corinthian had violated covenants on loans from Bank of America, leading the bank to reduce the amount it could borrow and to demand faster repayment. While the company's financial statements showed it had a sizable net worth, a chief asset was the money it would save on taxes on future profits because of past losses, and it has been forced to write off much of that asset. Other assets included money owed by students who had already defaulted on their loans.
Confronted with warnings it would be responsible for hurting so many students, the department blinked. In negotiations over the last weekend, it agreed to pump in an immediate $16 million, with more expected to follow, even though Corinthian has not provided many of the documents the department demanded months ago.
Corinthian is supposed to pick campuses that it plans to sell to others and those that it will close. That latter group will go into "teach out," meaning the schools will continue to operate for students already enrolled, but no new students will be admitted. Details are supposed to be ironed out by Tuesday.
If that is carried out, it appears that Corinthian, which at its peak was valued by Wall Street at more than $3.4 billion, will vanish. But many of those campuses may just change names and continue to operate under other owners.
A suit filed by the California attorney general last year contended that Corinthian lied about the success of its former students as it focused on single mothers whose income was at or near the poverty line. The suit quoted internal Corinthian documents as describing its target audience as "isolated" and "impatient" individuals with "low self-esteem." It said the company used high-pressure sales tactics and advertised on the Jerry Springer television show.
Defenders of for-profit colleges say that they are to be applauded for serving students who would not otherwise be able to obtain an education and that complaints about their record are unfair because community colleges are not held to the same standards.
When I asked Steve Gunderson, the president of the Association of Private Sector Colleges and Universities, about Corinthian, he immediately brought up the City College of San Francisco. Accreditors threatened to put the school out of business, but after a lot of political pressure was applied, a way was found to let it stay open for two years while it tries to improve.
"There is a very inconsistent approach," he said. He said Corinthian had a much higher graduation rate than the San Francisco school or many other junior colleges.
But when I asked Gunderson, a former Republican congressman from Wisconsin, whether he thought students were receiving good educations at Corinthian, he sidestepped the question repeatedly.
Larry Barton, who was president of Heald College before it became part of Corinthian, was not so hesitant to voice an opinion. The decision "to essentially strip Corinthian of its ability to access federal funds is prudent, overdue and incredibly important," he wrote in SFGate, a San Francisco newspaper. "It is a signal to other for-profit and even not-for-profit institutions that a promise made - a degree that should lead to tangible employment - requires a hefty curriculum, high-impact faculty and robust placement so that students can become gainfully employed and then repay their loans."
By and large, Corinthian and its competitors are able to exist only because of federal student aid programs, which provide the bulk of their revenue. Many of them prospered during the financial crisis as enrollments grew and student aid programs were expanded. Corinthian says the economic recovery has reduced enrollment.
One regulation that has tripped up Corinthian in recent years has been the so-called 90-10 rule, which prohibits college students from receiving more than 90 percent of their funding from the federal government. Finding sources for the other 10 percent has proved difficult for Corinthian and its competitors. They have offered private loans, accepting that many of them will default.
One rival, ITT Educational Services, came up with an innovative solution, according to the Consumer Financial Protection Bureau. It provided loans with zero interest rates to first-year students. But, the bureau said in a suit against ITT earlier this year, the students did not understand that they would be unable to continue their education if they failed to repay the loans within a year. It said ITT then forced them to take out loans at high interest rates to repay the first ones.

domain: news


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As The World Turns: He spent 2003-10 in Oakdale as Paul Ryan.
Broadway: Appeared on The Great White Way in 1999 in The Lion In Winter.
Californication: In 2014, he played a yoga instructor on the Showtime drama.
Debut: Performed in a production of The Grand Duke when he was 7 years old.
Eugene O’Neill Theatre: He trained in acting at this Connecticut institution.
Father: He has a son, Julian, 24, and a daughter, Langston, 15.
George Washington University: He attended this institution of higher learning for a semester before dropping out to pursue an acting career.
Hastings-On-Hudson: His hometown, in New York’s Westchester County.
Internet: He appeared on Prospect Park’s online OLTL reboot in 2013.
Jory: His first daytime part, on GUIDING LIGHT, lasting a few episodes in 1992.
Kent Winslow: His 1992 role on LOVING.
Louis C.K.: One of his favorite comedians.
Mason Bridge: He played this reporter on THE FLASH in 2015.
Neighbor: Chad Duell (Michael) has the dressing room next to his.
ONE LIFE TO LIVE: Where he arguably played his most famous role, Todd Manning, from 1992-95, 1996-98, 1999, 2000-03, and 2011-12.
Professor Greg Hetson: His 2002-03 role on DAWSON’S CREEK.
Quit: In 1995, he was granted permission to be let out of his OLTL contract early. He was lured back the following year.
Ricki Lake: He went to school with the actress and talk show host.
Soccer: His favorite sport; he roots for Arsenal.
Toby: The name of his family’s dog.
Up In The Air: Commutes from New York City to work at GH and enjoys the time he spends flying (“It’s five hours with no distractions; you can read, you can sleep”).
Villain: For his work as OLTL’s Todd, he was named the Outstanding one at the 1998 Soap Opera Digest Awards.
Wedding: Tied the knot with Cari Stahler in 1991.
X Factor: Won ABC Daytime’s nationwide talent search in 1992.
Younger Actor: The trophy he picked up at the 1994 Daytime Emmys for his OLTL work.
Zlatan Ibrahimovic: He names this Manchester United player as the person he would be most starstruck by.

domain: celebrity


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WWW Wednesday is a weekly meme revived and hosted by Sam at Taking on a World of Words.
The idea is to answer the three questions below and leave a link to your post in the comments for others to look at. No blog? No problem! Just leave a comment with your responses.
What are you currently reading?
What have you just finished reading?
What are you going to read next?
Currently Reading: I’m currently reading a NetGalley ARC of The Bone Shard Emperor by Andrea Stewart. I read and reviewed The Bone Shard Daughter earlier this year. I love how unique the magic system is. I’m so glad the publisher approved my request to read the ARC of the next book.
Recently Finished: I was feeling a little down at the end of October, so I decided to pick up A Deal With the Elf King by Elise Kova. It was exactly what I needed to read and I loved the strong female character in it. It’s a standalone fantasy romance, which is great if you’re not looking to obligate your time to another series.
Reading Next: Next I’ll probably read a library copy of Half Sick of Shadows by Laura Sebastian. It’s marketed as a feminist retelling of the Lady of Shalot. I’ve never read any historical fiction or fantasy for this time period, so I’m looking forward to it. But my next read isn’t super set in stone and I may end up reading one of my approved NetGalley requests.

domain: artistic


Bitcoin has emerged as a popular digital currency that operates on a decentralized network known as blockchain. This has led to an explosion of interest in trading and investing in cryptocurrencies, including bitcoin. One key aspect of successful trading is understanding the order flow and using it to make informed decisions.
Order flow algorithms are a set of computational models that analyze data from various bitcoin exchanges to determine the likelihood of future price movements. These algorithms take into account factors such as the number of buy and sell orders, the volume of trading activity, and the historical price patterns to calculate the most probable direction of the market.
By analyzing the order flow, traders can gain valuable insights into market sentiment and potential price movements. For example, if the algorithm detects a large number of buy orders at a specific price level, it may indicate that there is strong demand for bitcoin and that prices may increase in the near future. Conversely, a high concentration of sell orders could suggest that there is selling pressure and prices may decline.
Using order flow algorithms can give traders an edge in the highly volatile bitcoin market. However, it is important to note that these algorithms are not infallible and should be used in conjunction with other technical and fundamental analysis tools for a more comprehensive trading strategy.
The Basics of Bitcoin
Bitcoin is a decentralized digital currency that was created in 2009. It operates on a peer-to-peer network and does not have a central authority or government controlling it. Bitcoin trading is done directly between participants without the need for intermediaries.
Decentralization and Blockchain
One of the key features of Bitcoin is its decentralized nature. This means that no single entity or organization has control over the Bitcoin network. Instead, it relies on a distributed network of computers, known as nodes, to maintain the integrity of the system.
The Bitcoin network uses a technology called blockchain, which is essentially a digital ledger that records all Bitcoin transactions. This blockchain is publicly accessible and transparent, allowing anyone to verify the validity of transactions.
Order Flow and Price Discovery
Bitcoin trading involves the buying and selling of Bitcoin on various exchanges. The order flow refers to the flow of buy and sell orders on these exchanges. The order flow data provides valuable insights into the market sentiment and can help traders understand the underlying dynamics driving the price of Bitcoin.
Price discovery is the process by which the market determines the current price of Bitcoin. It is influenced by various factors, such as supply and demand, market sentiment, and market liquidity. Trading algorithms are often used to analyze order flow data and predict price movements.
Bitcoin exchanges are online platforms where users can buy and sell Bitcoin using different currencies, including fiat currencies like the US dollar or other cryptocurrencies. These exchanges act as intermediaries, matching buy and sell orders and facilitating the exchange of Bitcoin.
Some popular Bitcoin exchanges include Coinbase, Binance, and Kraken. Each exchange has its own trading interface and features, so it’s important to choose an exchange that suits your trading needs.
What is Order Flow?
Order flow refers to the process of buying and selling financial instruments, such as stocks, commodities, or cryptocurrencies like Bitcoin. It involves the exchange of orders between buyers and sellers on a trading network.
In the context of Bitcoin trading, order flow algorithms analyze and interpret data from exchanges to gain insights into the supply and demand dynamics that drive the price of Bitcoin. These algorithms use various indicators and patterns to predict market movements and identify optimal entry and exit points for traders.
By analyzing the order flow data, traders can gain a better understanding of market sentiment and liquidity. They can identify large buy or sell orders that can potentially influence the price of Bitcoin. This information can be used to make informed trading decisions, such as executing trades at favorable prices or avoiding potential market manipulation.
The order flow data includes information such as the type of order (buy or sell), the quantity of Bitcoin being bought or sold, and the limit or market price at which the order is placed. By tracking the order flow over time, traders can identify trends and patterns that can help them anticipate future price movements.
Order flow algorithms play a crucial role in the Bitcoin trading ecosystem as they enable traders to make more informed and profitable trading decisions. They provide real-time insights into the supply and demand dynamics of the market, helping traders identify potential trading opportunities and manage risk more effectively.
|Benefits of Order Flow Algorithms for Bitcoin Trading
|1. Improved market analysis and prediction
|2. Enhanced risk management
|3. Efficient execution of trades
|4. Real-time insights into market sentiment
|5. Ability to identify and exploit market anomalies
Crypto Trading Algorithms
Crypto trading algorithms are computerized processes that enable traders to execute cryptocurrency transactions automatically. These algorithms utilize various mathematical models and data analysis techniques to make informed trading decisions on behalf of traders.
One of the key functions of crypto trading algorithms is order execution. These algorithms analyze market data, such as price and volume, to determine optimal entry and exit points for trading. By taking into account various factors like market liquidity and volatility, these algorithms aim to maximize profits and minimize risks for traders.
Data Analysis and Prediction
Crypto trading algorithms also rely heavily on data analysis and prediction techniques to identify patterns and trends in the market. By analyzing historical price data and utilizing machine learning algorithms, these trading algorithms can make predictions about future price movements. This allows traders to make more informed decisions and take advantage of potential opportunities in the market.
Furthermore, these algorithms can also analyze social media sentiment, news articles, and other relevant information to gauge market sentiment and make better trading decisions.
Network and Exchange Connectivity
To execute trades, crypto trading algorithms need to connect to various cryptocurrency exchanges and their order books. These algorithms use API connections to access real-time market data and place trades automatically. By connecting to multiple exchanges, these algorithms can simultaneously analyze and execute trades across different platforms, increasing the efficiency and liquidity of trading.
Additionally, algorithms can also monitor the network and exchange infrastructure for any potential issues or disruptions. By staying connected to the network, these algorithms can ensure timely execution of orders and minimize the risk of delays or missed opportunities.
In conclusion, crypto trading algorithms play a crucial role in the efficient and automated execution of cryptocurrency trades. By utilizing mathematical models, data analysis techniques, and real-time market data, these algorithms help traders make informed decisions and maximize their trading potential in the volatile cryptocurrency market.
Understanding Bitcoin Order Flow
In the world of cryptocurrencies, Bitcoin is the pioneer and most well-known digital currency. Its popularity has grown significantly since its inception, and it has become an attractive asset for trading and investing. To be successful in Bitcoin trading, it is important to understand the concept of order flow and how it affects the price of Bitcoin on an exchange.
Order flow refers to the process of buying and selling Bitcoin on a trading platform or exchange. When a trader places an order, it is matched against other orders in the exchange’s order book. The order book contains a list of all the buy and sell orders for Bitcoin, along with the price and volume of each order.
Algorithms play a crucial role in order flow, as they help match buy and sell orders efficiently and quickly. These algorithms analyze real-time market data and execute trades based on predefined rules. They consider factors such as price, volume, and timing to determine the optimal order execution strategy.
Buy Order Flow
When a trader places a buy order for Bitcoin, the order flow algorithm scans the order book for matching sell orders. It prioritizes orders at the best available price and completes the trade accordingly. If there are multiple sell orders at the same price, the algorithm may use additional criteria, such as order size, to determine the order in which the trades are executed.
The buy order flow has a direct impact on the price of Bitcoin on the exchange. When there is a high demand for Bitcoin and a limited supply of sell orders, the price tends to increase. Conversely, a low demand and a high supply of sell orders can result in price decrease.
Sell Order Flow
On the other hand, when a trader places a sell order for Bitcoin, the order flow algorithm looks for matching buy orders. It follows a similar process as the buy order flow, prioritizing orders at the best available price and completing the trade accordingly. The algorithm may also consider the order size and other criteria to determine order execution.
Similar to the buy order flow, the sell order flow has an impact on the price of Bitcoin. If there is a high supply of sell orders and a low demand for Bitcoin, the price tends to decrease. Conversely, a low supply and a high demand for Bitcoin can lead to price increase.
Understanding Bitcoin order flow is essential for traders and investors to make informed decisions. By analyzing the order book and order flow algorithms, one can gain insights into the market dynamics and potentially predict price movements. It is important to remember that the order flow is influenced by various factors, including trading volume, market sentiment, and external events, which can impact the price of Bitcoin on the exchange.
How Do Order Flow Algorithms Work?
Order flow algorithms are an essential part of the trading process in the Bitcoin network. These algorithms help in analyzing the data and making precise decisions about buying and selling orders. Understanding how they work is crucial for successful trading in the Bitcoin market.
What is Order Flow?
Order flow refers to the flow of buy and sell orders in the market. It provides valuable information about the supply and demand for Bitcoin and influences the price movement. Order flow algorithms use this data to understand the market dynamics and make informed trading decisions.
How do Order Flow Algorithms Analyze Data?
Order flow algorithms analyze various types of data, such as order book data, trade data, and market data, to gain insights into the market conditions. They monitor the order book for new buy and sell orders and analyze the volume and price levels of these orders.
The algorithms also track the trading activity and observe the executed trades to identify patterns and trends. They analyze the market data, including historical price movements and market indicators, to understand the overall market sentiment.
How do Order Flow Algorithms Make Trading Decisions?
Based on the analyzed data, order flow algorithms determine the optimal trading opportunities. They consider factors like market liquidity, price volatility, and trading volume to identify favorable entry and exit points. The algorithms also take into account the trader’s predefined strategies and risk limits.
Once the algorithms identify a trading opportunity, they automatically send buy or sell orders to the market. These orders are executed based on predefined parameters, such as order size and price limits. The algorithms continuously monitor the market conditions and adjust the orders accordingly to maximize profit or minimize losses.
Order flow algorithms play a crucial role in analyzing and interpreting the flow of buy and sell orders in the Bitcoin market. They use sophisticated mathematical models and statistical techniques to make informed trading decisions. By understanding how these algorithms work, traders can leverage the power of data analysis to improve their trading strategies in the Bitcoin market.
The Role of Machine Learning in Order Flow
Order flow algorithms play a crucial role in the world of cryptocurrency trading. These algorithms are designed to analyze the vast amount of data generated by exchanges and identify patterns in the order flow. By understanding how orders are placed on the exchange and how they interact with each other, these algorithms can make more informed decisions on when and how to execute trades.
Machine learning is a powerful tool that can enhance the performance of these order flow algorithms. By applying various machine learning techniques, such as neural networks and decision trees, these algorithms can learn from historical data and adapt to changing market conditions. This allows them to better predict future price movements and optimize their trading strategies.
One of the key advantages of machine learning in order flow is its ability to handle large amounts of data. The Bitcoin exchange network generates an enormous volume of data on a daily basis, including order books, trade history, and market sentiment. Machine learning algorithms can effectively process and analyze this data to identify subtle patterns and trends that human traders may overlook.
Furthermore, machine learning can help identify and exploit hidden opportunities in the order flow. By analyzing the behavior of different market participants, these algorithms can detect abnormal trading patterns and potential market manipulation. This can provide valuable insights and help traders make more informed decisions.
Overall, machine learning plays a critical role in optimizing order flow algorithms in the Bitcoin trading ecosystem. By leveraging the power of data analysis and predictive modeling, these algorithms can better understand market dynamics and improve trading performance. As the Bitcoin market continues to evolve, machine learning will undoubtedly play an even more significant role in shaping the future of order flow.
Benefits of Using Order Flow Algoritms for Bitcoin Trading
Bitcoin trading can be a complex and volatile market, with prices constantly changing and orders being executed on various cryptocurrency exchanges. In such a fast-paced environment, it is crucial for traders to have access to accurate and timely information in order to make informed decisions.
Order flow algorithms are powerful tools that can provide valuable insights into the bitcoin trading market. These algorithms analyze real-time data from multiple sources, including order books, trading volumes, and historical price data, to identify trends and patterns that can be used to predict future price movements.
1. Improved decision-making
By using order flow algorithms, traders can gain a better understanding of the supply and demand dynamics of the bitcoin market. This information can help them identify potential buying or selling opportunities and make more informed trading decisions.
For example, if the order flow algorithm detects a large number of buy orders being executed at a specific price level, it may indicate that there is strong buying interest at that level. This can be a signal for traders to enter long positions and ride the upward price trend.
2. Increased efficiency
Order flow algorithms can automate the process of monitoring and analyzing large amounts of data from multiple cryptocurrency exchanges. This can save traders a significant amount of time and effort, allowing them to focus on other important aspects of their trading strategy.
Furthermore, by using order flow algorithms, traders can quickly identify and take advantage of arbitrage opportunities between different exchanges. For example, if the algorithm detects a price discrepancy between two exchanges, it can automatically execute trades to profit from the price difference.
In addition, order flow algorithms can also help reduce trading costs by optimizing the execution of orders. By analyzing the liquidity and order book depth of various exchanges, these algorithms can ensure that orders are executed at the best possible price and minimize slippage.
In conclusion, order flow algorithms offer a number of benefits for bitcoin trading. They can provide valuable insights into market trends and patterns, improve decision-making, increase trading efficiency, and reduce costs. By leveraging the power of data analysis and automation, traders can gain a competitive edge in the fast-paced world of bitcoin trading.
Risks and Limitations of Bitcoin Order Flow Algoritms
Bitcoin order flow algorithms are powerful tools that provide traders with valuable insights into the market and help them make informed trading decisions. However, like any trading strategy, there are risks and limitations that need to be considered when using these algorithms.
Limited Flow of Order Data
One of the main limitations of Bitcoin order flow algorithms is the limited availability of order data. These algorithms rely on order book data from exchanges to analyze the flow of buy and sell orders. However, not all exchanges provide full order book data, which can limit the effectiveness of these algorithms.
Moreover, order book data can be manipulated by traders through spoofing or wash trading, which can distort the true flow of orders. This can lead to false signals and inaccurate predictions.
Highly Volatile and Unpredictable Market
The Bitcoin market is known for its high volatility and unpredictability. The price of Bitcoin can fluctuate rapidly, making it challenging to accurately predict the flow of orders. Even the most sophisticated algorithms can struggle to keep up with the fast-paced nature of the market.
Additionally, external factors such as regulatory changes, news events, and market sentiment can significantly impact the flow of orders and disrupt the effectiveness of these algorithms.
Dependence on Network and Exchange Infrastructure
Bitcoin order flow algorithms rely on a stable and efficient network and exchange infrastructure to function properly. Any disruptions or failures in the network or exchange systems can result in inaccurate order flow analysis and trading decisions.
Furthermore, the latency in receiving order book data from exchanges can create delays in updating the algorithm’s analysis, which can lead to missed trading opportunities or erroneous predictions.
Lack of Backtesting and Optimization Tools
While Bitcoin order flow algorithms can be highly effective, there is a lack of standardized backtesting and optimization tools specifically designed for these algorithms. This makes it challenging for traders to assess the historical performance of their algorithms and refine them for better results.
- Overall, Bitcoin order flow algorithms provide valuable insights into the market, but they come with risks and limitations that traders must be aware of.
- The limited availability and potential manipulation of order book data, the highly volatile and unpredictable nature of the Bitcoin market, the dependence on network and exchange infrastructure, and the lack of specialized backtesting tools all pose challenges for traders using these algorithms.
- Despite these limitations, Bitcoin order flow algorithms can still be useful tools when combined with other trading strategies and risk management techniques.
Types of Order Flow Algorithms
Order flow algorithms are essential tools used in trading Bitcoin on various exchanges. These algorithms analyze the order flow network to predict the direction and price movement of Bitcoin. Here are some common types of order flow algorithms:
- Liquidity algorithms: These algorithms focus on optimizing execution by estimating the available liquidity and determining the best execution venue to minimize price impact.
- Trend-following algorithms: These algorithms analyze the order flow to identify trends and execute trades based on the direction of the trend.
- Mean-reversion algorithms: These algorithms aim to exploit short-term price fluctuations by identifying overbought or oversold conditions and executing trades to profit from the price returning to its mean.
- Predictive algorithms: These algorithms use machine learning or statistical models to predict future price movements based on historical trading data.
- Market-making algorithms: These algorithms provide liquidity to the market by placing both buy and sell orders and adjusting them based on the order flow and market conditions.
- Arbitrage algorithms: These algorithms identify price discrepancies between different exchanges and execute trades to profit from the price differences.
Each type of order flow algorithm has its strengths and weaknesses, and traders may use a combination of these algorithms to optimize their trading strategies and maximize profits.
Popular Order Flow Algorithms for Bitcoin Trading
Bitcoin trading has gained immense popularity in recent years, with traders and investors seeking opportunities in the volatile cryptocurrency market. To make informed trading decisions, it is crucial to analyze and understand the order flow, which refers to the buying and selling activity of market participants.
Order flow algorithms are computational models that aim to predict the direction and magnitude of the bitcoin price based on order book data from various exchanges. These algorithms analyze the order book depth, liquidity, and trading volume to identify patterns and trends that can be used to make profitable trading decisions.
One popular order flow algorithm is the VWAP (Volume-Weighted Average Price) algorithm. VWAP calculates the average price at which a specific quantity of bitcoin has been traded throughout the trading day. This algorithm is widely used by institutional traders to execute large orders without significantly impacting the market price.
Another popular order flow algorithm is the TWAP (Time-Weighted Average Price) algorithm. This algorithm breaks down a large order into smaller, time-based slices and executes them evenly over a specific time period. By spreading the order execution over time, this algorithm aims to minimize market impact and reduce the risk of adverse price movements.
The Iceberg algorithm is another commonly used order flow algorithm in bitcoin trading. It allows traders to hide their large orders by only showing a small portion of the order at a time. This algorithm helps to minimize the impact on the market price and prevents other traders from predicting the trader’s intentions.
The implementation shortfall algorithm is designed to optimize trade execution by evaluating the trade-off between market impact and the urgency to complete the order. It takes into account factors such as price volatility, liquidity, and order book depth to determine the optimal trading strategy.
In addition to these popular algorithms, there are many other order flow algorithms used in bitcoin trading, such as average price algorithms, liquidity-seeking algorithms, and market-making algorithms. Each algorithm aims to exploit different aspects of the order book data and market dynamics to generate profitable trading strategies.
Overall, order flow algorithms play a crucial role in bitcoin trading by providing traders with valuable insights and opportunities to capitalize on market inefficiencies. By analyzing and interpreting order book data, these algorithms help traders make informed decisions and navigate the complex bitcoin trading ecosystem.
|Calculates the average price based on volume
|Executes large orders evenly over time
|Hides large orders to minimize market impact
|Determines optimal trading strategy based on market impact and urgency
Choosing the Right Order Flow Algorithms for Your Trading Strategy
When it comes to trading Bitcoin on an exchange, understanding order flow algorithms is crucial for success. These algorithms analyze data on order flow to make informed decisions on executing trades. However, with so many different algorithms available, choosing the right one for your trading strategy can be a daunting task.
Factors to Consider
Before selecting an order flow algorithm, there are several factors that you should consider:
- Trading Strategy: Determine what your specific trading strategy is and what type of market conditions you are looking to exploit. Different algorithms are designed to work better in specific market scenarios, such as trending markets or volatile markets.
- Data Analysis: Consider the level of data analysis that is required for your trading strategy. Some algorithms are more sophisticated in their ability to analyze complex data sets, while others may be better suited for simpler trading strategies.
- Price Execution: Evaluate how well an algorithm can execute trades at the desired price. Some algorithms are better at achieving optimal price execution, which can have a significant impact on your overall profitability.
Popular Order Flow Algorithms
Here are a few popular order flow algorithms that traders commonly use:
|Volume Weighted Average Price (VWAP)
|This algorithm calculates the average price of a trade based on its volume. It is commonly used by institutional investors.
|Time Weighted Average Price (TWAP)
|This algorithm executes trades evenly over a specified time period, aiming to achieve an average price.
|Percentage of Volume (POV)
|This algorithm executes trades as a percentage of the total traded volume, allowing for greater anonymity.
Remember, the right order flow algorithm for your trading strategy may depend on various factors, including your risk tolerance, market conditions, and overall trading goals. It is important to thoroughly research and test different algorithms to determine which one aligns best with your specific needs.
Key Metrics to Consider when Evaluating Order Flow Algoritms
When trading bitcoin on an exchange, it is important to evaluate the performance of order flow algorithms. These algorithms are designed to analyze data from the trading network and execute orders based on certain parameters.
1. Order Execution Speed
One of the key metrics to consider when evaluating order flow algorithms is the order execution speed. This metric measures how quickly the algorithm can identify trading opportunities and execute orders. A fast execution speed is crucial in bitcoin trading where prices can change rapidly.
2. Price Impact
Another important metric to consider is price impact. This metric measures how much the price is affected by the execution of an order. A good order flow algorithm should minimize price impact, as large price movements can result in slippage and lower profitability.
Other metrics that can be considered include liquidity sourcing capabilities, risk management features, and algorithmic trading strategies. It is important to thoroughly evaluate these metrics before choosing an order flow algorithm, as they can greatly impact the success of bitcoin trading.
How to Implement Order Flow Algorithms in Bitcoin Trading
The price of Bitcoin is highly volatile, making it an attractive asset for traders. However, effectively navigating the Bitcoin market requires a deep understanding of order flow and the ability to implement order flow algorithms. In this article, we will explore the steps to successfully implement order flow algorithms in Bitcoin trading.
Understanding Order Flow
Order flow refers to the movement of orders within a trading network. It involves analyzing the buying and selling pressure in the market, identifying patterns, and using this information to make trading decisions. In Bitcoin trading, order flow analysis is crucial for predicting market trends and executing profitable trades.
Choosing the Right Exchange
Before implementing order flow algorithms, it is important to choose the right Bitcoin exchange. Look for an exchange that provides reliable and real-time order book data. This data will be the foundation for your order flow analysis. Additionally, ensure that the exchange has a robust API that allows you to fetch order book data programmatically.
Collecting Order Book Data
Once you have chosen the exchange, the next step is to collect order book data. This data includes the current bid and ask prices, order quantities, and other relevant information. You can use the exchange’s API to fetch this data and store it in a database or a data structure of your choice.
Implementing Order Flow Algorithms
With the order book data in place, you can start implementing order flow algorithms. These algorithms usually involve analyzing the order book data for patterns such as bid-ask spreads, order imbalances, and large orders. Based on these patterns, you can generate trading signals and execute trades accordingly.
Some popular order flow algorithms used in Bitcoin trading include:
- Time and Sales Analysis: This algorithm analyzes the time and sales data to identify market trends and potential entry or exit points.
- Volume Analysis: This algorithm focuses on the volume of orders to determine the strength of buying or selling pressure.
- Delta Analysis: This algorithm compares the changes in bid and ask volume to predict short-term price movements.
It is important to backtest and refine your order flow algorithms before deploying them in live trading. This will help you identify any flaws or limitations and optimize your strategies for maximum profitability.
Monitoring and Adjusting
Once your order flow algorithms are live, it is crucial to monitor their performance and make adjustments as needed. Keep an eye on the market conditions and adapt your algorithms accordingly. Regularly analyze the results and fine-tune your algorithms to improve their accuracy and effectiveness.
In conclusion, implementing order flow algorithms in Bitcoin trading requires a thorough understanding of order flow analysis, choosing the right exchange, collecting and analyzing order book data, and implementing efficient algorithms. With careful planning and continuous monitoring, order flow algorithms can be a powerful tool for successful Bitcoin trading.
Best Practices for Using Order Flow Algoritms
When it comes to trading cryptocurrencies like Bitcoin, order flow algorithms have become an essential tool for market participants. These algorithms help traders analyze and react to the price movements in real-time, providing valuable insights into the market dynamics.
To make the most out of order flow algorithms, traders should follow some best practices that maximize the effectiveness of their trading strategies:
|Utilize multiple algorithms
|Using a combination of different order flow algorithms can provide a more comprehensive view of the market. Each algorithm may have its strengths and weaknesses, so diversifying the use of algorithms can help capture a wider range of trading opportunities.
|Stay connected to the network
|Order flow algorithms rely on real-time data from the market, so it is crucial to maintain a stable and fast internet connection. Any disruptions in the network can result in missed trading opportunities or inaccurate analysis.
|Choose a reliable exchange
|The choice of the exchange can significantly impact the quality of order flow data. Opt for exchanges with robust trading volumes, low latency, and reliable order execution. Access to accurate and timely data is crucial for effective algorithmic trading.
|Regularly analyze and update algorithms
|The cryptocurrency market is highly volatile and constantly evolving. Traders should frequently review and update their order flow algorithms to adapt to changing market conditions and improve trading performance. Continuous monitoring and refinement are key to staying ahead.
|Combine with other trading strategies
|Order flow algorithms are powerful tools, but they should not be used in isolation. Combining them with other trading strategies, such as technical analysis or fundamental analysis, can provide a more holistic approach and increase the odds of success.
By following these best practices, traders can leverage the power of order flow algorithms to enhance their trading strategies and improve their overall performance in the Bitcoin market.
Common Challenges and Issues with Order Flow Algoritms
Order flow algorithms play a crucial role in the trading of Bitcoin and other cryptocurrencies. They analyze and process the vast amount of price and trading data generated on cryptocurrency exchanges in real-time. However, there are several common challenges and issues that developers of order flow algorithms have to overcome.
One of the main challenges is the high volatility of Bitcoin prices. The value of Bitcoin can change rapidly within a short period of time, which makes it difficult for order flow algorithms to predict the best trading opportunities. Developers need to constantly update their algorithms to adapt to the changing market conditions.
Another challenge is the fragmentation of the Bitcoin trading network. Bitcoin is traded on multiple exchanges, each with its own unique data format and trading rules. Order flow algorithms need to parse and integrate data from different exchanges to provide an accurate picture of the market. This requires a significant amount of data processing and normalization.
Data integrity is also a major concern for order flow algorithms. Any inaccuracies or delays in data can lead to incorrect trading decisions and financial losses. Developers need to ensure that the data they collect is accurate and up-to-date. They also need to take into account potential issues with data feeds and network connectivity.
Security is another important issue for order flow algorithms. Bitcoin exchanges are often targeted by hackers, and any breach in security can result in significant financial losses. Developers need to implement robust security measures to protect sensitive trading data and prevent unauthorized access.
Overall, order flow algorithms face several challenges and issues in the context of trading Bitcoin. Developers need to constantly adapt their algorithms to the high volatility of Bitcoin prices, integrate data from multiple exchanges, ensure data integrity, and implement robust security measures. Overcoming these challenges is crucial for the success of order flow algorithms in the cryptocurrency market.
Trends and Developments in Bitcoin Order Flow Algorithms
The network of Bitcoin exchanges relies on the flow of order data to determine the price of Bitcoin. As the popularity of Bitcoin continues to grow, developers are constantly working on new algorithms to analyze and predict the order flow in order to make more accurate price predictions.
Bitcoin order flow algorithms are designed to analyze the buying and selling activity on Bitcoin exchanges. By examining the data on the order books, these algorithms can identify trends and patterns that can help traders make informed decisions about when to buy or sell Bitcoin.
One trend that has emerged in recent years is the use of machine learning algorithms in Bitcoin order flow analysis. By training algorithms on historical order flow data, developers can create models that can predict future order flow patterns. This can be especially useful in volatile markets, where sudden shifts in order flow can have a significant impact on the price of Bitcoin.
Another development in Bitcoin order flow algorithms is the use of real-time data feeds from multiple exchanges. By aggregating data from different exchanges, traders can get a more comprehensive view of the order flow and make more informed decisions. This can also help prevent manipulation of the order flow on a single exchange.
Some algorithms are also designed to detect and prevent order book manipulation. By analyzing patterns in the order data, these algorithms can identify suspicious activity and alert traders to potential risks. This can help maintain the integrity of the Bitcoin market and protect traders from fraudulent behavior.
In conclusion, the development of Bitcoin order flow algorithms is an ongoing process as developers seek to improve the accuracy and reliability of price predictions. By analyzing and predicting the flow of orders on Bitcoin exchanges, these algorithms can provide traders with valuable insights and help them make more informed trading decisions.
Case Studies: Successful Bitcoin Trading with Order Flow Algorithms
In recent years, the popularity of Bitcoin and other cryptocurrencies has surged, leading to the creation of numerous trading platforms and exchanges. As a result, traders have access to a vast network of buyers and sellers, creating a rich source of trading data.
The use of order flow algorithms in Bitcoin trading has become increasingly popular among professional traders. These algorithms analyze the flow of orders on an exchange, providing insights into the buying and selling pressure in the market.
Successful Bitcoin trading requires the ability to accurately interpret and react to market trends. Order flow algorithms provide traders with real-time data on the number of buy and sell orders, the price at which they are being placed, and the size of each order. By analyzing this data, traders can identify patterns and make informed trading decisions.
Case studies have shown that traders who utilize order flow algorithms have a greater chance of success in the Bitcoin market. These algorithms allow traders to spot market imbalances, identify potential areas of support and resistance, and anticipate price movements.
One case study analyzed the order flow data from a popular Bitcoin exchange over a period of six months. By using an order flow algorithm, the trader was able to identify a significant increase in buying pressure at a specific price level. This information indicated that a large buyer was entering the market, potentially driving up the price. The trader was able to enter a long position at the opportune time and profit from the subsequent price increase.
Another case study focused on the analysis of order flow data during a period of high volatility in the Bitcoin market. The algorithm detected a sudden surge in selling pressure, indicating a potential price drop. The trader was able to exit a long position and enter a short position, profiting from the subsequent decline in price.
These case studies highlight the potential benefits of utilizing order flow algorithms in Bitcoin trading. By analyzing the flow of orders on an exchange, traders can gain valuable insights into market dynamics and make more informed trading decisions.
Regulatory Considerations for Bitcoin Order Flow Algorithms
When it comes to order flow algorithms in the bitcoin trading space, there are several regulatory considerations that need to be taken into account. These considerations revolve around the handling of sensitive data, the transparency and fairness of the algorithms, and the potential impact on the overall bitcoin network and exchanges.
First and foremost, the handling of order data in bitcoin order flow algorithms needs to comply with existing data protection regulations. As these algorithms often process large amounts of order data, it is crucial to ensure that personal and sensitive information is properly secured and encrypted. This includes protecting customer information such as names, addresses, and payment details.
Transparency and fairness are also important aspects to consider. Bitcoin order flow algorithms should be designed in a way that ensures fair and equal treatment for all participants in the trading process. This means that the algorithms should not favor certain traders or provide them with an unfair advantage. Additionally, the algorithms should be transparent, with clear documentation and disclosure of how they operate and make trading decisions.
Furthermore, the impact of order flow algorithms on the overall bitcoin network and exchanges should be taken into account. These algorithms can generate a large amount of trading activity, which may put strain on the network and lead to increased transaction fees. It is important for algorithms to be designed in a way that minimizes their impact on the overall health and efficiency of the network.
Lastly, exchanges that offer bitcoin order flow algorithms should comply with regulatory requirements specific to their jurisdiction. This includes obtaining the necessary licenses and registrations, and adhering to anti-money laundering (AML) and know your customer (KYC) regulations. Compliance with these regulations helps to ensure the legitimacy and safety of the trading environment.
|Regulatory Considerations for Bitcoin Order Flow Algorithms
|1. Compliance with data protection regulations
|2. Transparency and fairness in algorithm design
|3. Minimizing impact on the bitcoin network and exchanges
|4. Compliance with jurisdiction-specific regulations
Future Outlook for Bitcoin Order Flow Algoritms
As the popularity of Bitcoin continues to rise, so does the demand for efficient trading algorithms to handle the increasing amount of data and order flow in the market. These algorithms play a crucial role in ensuring that traders are able to execute their orders quickly and at the best possible price.
The Power of Algorithms
Bitcoin order flow algorithms are designed to analyze real-time market data and make rapid decisions based on predefined strategies. These algorithms use advanced mathematical models and historical data to predict market movements and identify trading opportunities. By automatically executing trades based on predefined criteria, these algorithms eliminate human error and emotions from the trading process.
One of the main advantages of using order flow algorithms is their ability to react to market conditions in real-time. These algorithms are constantly monitoring the Bitcoin network and can quickly adapt to changes in price and order book dynamics. This allows traders to take advantage of short-term price movements and profit from market inefficiencies.
Integration with Exchanges and Trading Platforms
In order to effectively utilize order flow algorithms, traders need to have access to a reliable and efficient trading platform. Many cryptocurrency exchanges and trading platforms have integrated order flow algorithms into their systems, allowing users to execute trades directly from their accounts.
These integrations provide traders with a seamless trading experience, as they can execute orders and monitor their positions in real-time. Moreover, the integration with exchanges allows order flow algorithms to access market data and execute trades with minimal latency and slippage.
The Future of Bitcoin Order Flow Algorithms
The future of Bitcoin order flow algorithms looks promising, as advancements in technology continue to enhance their capabilities. With the increasing adoption of artificial intelligence and machine learning, these algorithms can improve their accuracy in predicting market movements and optimize trading strategies.
Additionally, the growing interest from institutional investors and the development of regulatory frameworks for cryptocurrencies are expected to further drive the demand for order flow algorithms. As more institutional investors enter the Bitcoin market, there will be a need for sophisticated trading tools to handle large volumes of orders and ensure efficient execution.
In conclusion, the future outlook for Bitcoin order flow algorithms is highly positive. These algorithms have proven to be valuable tools for traders, allowing them to navigate the complex and volatile Bitcoin market with ease. With advancements in technology and increasing adoption, these algorithms are expected to play an even bigger role in the future of Bitcoin trading.
|Benefits of Bitcoin Order Flow Algorithms
|Eliminate human error and emotions from trading
|Integration of AI and machine learning
|React to market conditions in real-time
|Growing interest from institutional investors
|Ability to profit from short-term price movements
|Development of regulatory frameworks
What are Bitcoin order flow algorithms?
Bitcoin order flow algorithms are computer programs or algorithms that analyze and interpret the order flow of Bitcoin, which includes data on buy and sell orders, and use this information to make predictions about the direction of Bitcoin’s price movement.
How do Bitcoin order flow algorithms work?
Bitcoin order flow algorithms work by analyzing the order book, which is a record of all buy and sell orders for Bitcoin on a particular exchange. They look for patterns and trends in the order flow data to make predictions about where Bitcoin’s price is likely to go in the future.
What factors do Bitcoin order flow algorithms consider?
Bitcoin order flow algorithms consider various factors, including the volume and size of buy and sell orders, the speed at which they are being placed, the price levels at which they are being placed, and the ratio of buy to sell orders. All of these factors can provide insights into market sentiment and help predict future price movements.
Are Bitcoin order flow algorithms reliable?
Bitcoin order flow algorithms can provide valuable insights into the market and help traders make more informed decisions. However, like any predictive tool, they are not 100% accurate and should be used in conjunction with other analysis methods. It’s important to remember that the market is influenced by many external factors and can be unpredictable.
How can Bitcoin order flow algorithms be used in trading?
Bitcoin order flow algorithms can be used by traders to identify potential buying or selling opportunities. For example, if the algorithm detects a large number of buy orders coming in at a specific price level, it may indicate that there is buying pressure and that the price is likely to rise. Traders can use this information to enter or exit positions accordingly.
What are Bitcoin order flow algorithms?
Bitcoin order flow algorithms are computer-based trading strategies that use data on buy and sell orders to predict market movements and execute trades. These algorithms analyze the order book, which contains information about the current buy and sell orders, and use mathematical models to identify patterns and trading opportunities.
How do Bitcoin order flow algorithms work?
Bitcoin order flow algorithms work by analyzing the order book and identifying patterns and trends that indicate potential market movements. They use mathematical models and trading strategies to predict the direction of price movements and determine when to buy or sell. These algorithms can also take into account factors such as market liquidity and trading volume to make more accurate predictions.


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In the past 5 years, many water purification equipment enterprises will “large flux no tank water purifier” as a new selling point in the market, and even some individual enterprises have publicly announced that they are not ready to produce small 50 gallon water purifier. For large flux no tank water purifier, they will do their best to produce and sell it. Large flux refers to the water production capacity can reach 400-800 gallons. A water purification device that does not require a pressure tank to buffer water. So, is the high-throughput water purifier really good? Are consumers really satisfied with the security, the cost performance and the post-experience? For these problems, we will make a detailed discussion in this paper.
Household water purifier gallon (G) What does it mean?
A gallon is a unit. A gallon (G) is about 3.8 liters; 2. Household water purifier 50G(gallon) means that the water purifier can produce 50 gallons of water every day. Roughly, the water production capacity of 50 gallon water purifier is about 8 liters per hour, and 133 milliliters per minute. 3. National standard (GBT22090-2008), which stipulates that for products similar to water dispensers and water purifiers, the flow rate of water intake tap should not be lower than 0.8 liters per minute (the flow rate of water is too small to wait for a long time). The average 50-gallon capacity is 0.133 liters per minute, which is obviously not up to the national standard of 0.8 liters per minute, which explains why many 50-gallon machines have a small pressure barrel.
Why are most water purifiers on the market 50 gallons?
We can make corresponding analysis. Now most of us are in a family of four, and we can calculate that each person needs 4 liters of pure water every day. Of course, this amount includes drinking, soup making, cooking, etc., which is quite a large number. So a household’s total daily need for pure water is about 24 liters.
Then we concentrate the use time of the 24 liters of water to the morning, middle and evening three time periods, each time period 1 hour to calculate, then for the water purifier production capacity requirements is 8 liters of water per hour. That’s a very large amount. It’s more than enough for a family of six, not to mention that we’re basically a family of four or a family of three now.
So a 50-gallon water purifier, with a capacity of 8 liters per hour, is perfectly fine for a normal household. This explains why the water purification mechanism is mostly about 50 gallons.
The problems faced by traditional pressure tank water purifier?
- Occupy cabinet space. Because the traditional water purifier is equipped with a separate pressure bucket in addition to the water equipment, it takes up a little cabinet space.
- Because the material of the water storage sac in the pressure tank is food-grade rubber, some enterprises can not ensure that the material is fully qualified in the process of producing the pressure barrel, which will affect the water quality of the water purifier.
3, the last level of the traditional water purifier filter element is post-activated carbon, so the quality of activated carbon is also crucial, otherwise because of the material problem will produce secondary pollution. In fact, it is not difficult to solve the above problems, as long as the use of regular manufacturers of qualified products, these problems can be avoided, but is the problem of occupying space, we think this problem is not important. Just because of the existence of some such problems came into being at the historic moment of the large flux tank water purifier.
Large flux tankless water purifier
We generally refer to the reverse osmosis membrane with water production capacity of more than 200 gallons as high flux reverse osmosis membrane, which is characterized by fast water production speed and can meet people’s long-term uninterrupted water production at the same time. Such a membrane is especially suitable for commercial occasions, because such a membrane requires matching pretreatment device and related pressurization equipment and accessories of 50 gallon machines are completely different. Its cost would have increased substantially.
Let’s look at one of the properties of reverse osmosis membranes. After the purifier stops running, there is still some pure water and wastewater in the membrane shell. Under the condition of no external pressure, there will be a bidirectional osmosis process in the membrane shell due to the osmotic pressure between concentrated water and pure water. With the extension of the bidirectional penetration time, the concentration of pure water in the membrane will gradually increase, the longer the downtime, the higher the TDS of pure water in the membrane, about pure water TDS reached 50% of the inlet TDS, the infiltration process reached equilibrium, then the TDS of pure water and concentrated water almost unchanged.
The characteristics of the above reverse osmosis membrane, for the large flux pure water machine, because the water is directly from the tap, so its maximum TDS value will reach half of the inlet TDS value, which is the reason why the high TDS when the large flux pure water machine is just started.
Now on the market for domestic large flux tankless pure water machine, its configuration of reverse osmosis membrane water production capacity is at least 400 gallons of an under sink ro tankless water purifier.
Why 400 gallons? Because the 400-gallon reverse osmosis membrane system can produce 1 liter of water per minute, it meets the relevant national standards for water dispenser discharge (greater than 0.8 liter/minute), and can be basically accepted by consumers. While other water purifiers larger than 400 gallons, the difference is that the water output per unit of time is larger, to bring users a better use experience.
In general, due to the speed of water production, this pure water machine no longer needs pressure water storage barrels, of course, there is no need for activated carbon after, in this way, the bacteria, nitrite exceeded the standard of the problem has been solved to a certain extent.
In this paper, we have carried out a large number of comparative analysis on the non-tank water purifier and the traditional water purifier, I believe that we are more understand, we can roughly summarize:
- The majority of consumers, do not believe the propaganda of merchants, merchants advocate large flux because large flux profit is larger, so in recent years, the continuous promotion of large flux, in view of the use experience and later cost, water small two does not recommend users choose large flux water purifier;
- Now some businesses will sell the large flux water purifier at a particularly low price, even lower than the price of the traditional water purifier, which is not a good phenomenon. We just want to say that it is not simple, businesses have no longer attached importance to the pre-sale profit, it is estimated that they will focus more on the profit in the late filter element.
- According to the survey, after using the large flux machine, many customers said that the poor experience is mainly due to the high price of replacing the filter element, as well as the existence of ambient water, which must be drained for at least 20 seconds before each water connection before direct use, and the experience is poor
- Large flux water purifier is more suitable for commercial, more people in public places, even if the commercial equipment must be used with the pressure barrel, but the commercial pressure barrel is larger than the household.


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Spring/Summer Handbag Picks
Michael Kors Hamilton Large Canvas Tote for $298 - I love this nautical inspired handbag. It also has vintage appeal to it with the red and white stripes.
Kate Spade Grove Court Maise Satchel for $348 - A neutral bag with a twist. Neon is a huge trend again this season and this is a way to sport the trend just a little.
Tory Burch Robinson Double Zip Leather Tote for $575 - Everyone should have a green bag in their collection. It adds a pop of color. Pair this with your LWD or for a little color blocking pair it with a blue dress or skirt.
Avalon Tote for $98 at Shop Suey - This is a gorgeous celine inspired bag. The color is gorgeous and perfect for the office.
ASOS bag with side straps for $63.18 - I love this color! Coral is another big color for spring. This bag would be perfect for work and the weekend. Plenty of space to store all your items.
Patent Messenger Bag for $30 at Forever21 - If you want to dwell into the neon trend without spending a lot of money, this is the perfect opportunity. This is perfect to go shopping with on the weekends.
Aroback Handbag for $55 at Aldo - Such a cute color block tote. This would be perfect to bring on a tropical/resort vacation.
From low to high end brands there are many gorgeous options for both your budget and style. Spring is all about the fun bright colors and bold prints. Put away that black bag and bring out that gorgeous white or bright colored handbag!
What is your go to handbag for spring/summer?
Posted by Heidi at 3:31 PM

domain: design


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DUBLIN Biotech investors shrugged off short-term fears about any potential fallout from Thursday's looming vote on Britain's continued membership of the EU, pumping more than $125 million into two U.K. firms, Verona Pharma plc and F2G Ltd., which will enable them to move their respective drug candidates into a phase IIb trial in chronic obstructive pulmonary disease (COPD) and a registration study in invasive aspergillosis.
Cardiff-based Verona is raising £44.7 million (US$65.6 million) on the back of recent phase IIa data, which showed that RPL554, a dual inhibitor of dual phosphodiesterase3 (PDE3) and PDE4, had marked bronchodilatory effects when added on top of existing therapies. (See BioWorld Today, May, 2016.)
Manchester-based F2G raised $60 million in a private equity round to take forward its first-in-class antifungal F901318, which has benefitted from its inclusion in the EMA's adaptive pathways scheme. "We were


Minneapolis Fire Department
The Minneapolis Fire Department has canceled their plans to travel to Indiana for a conference at the request of Mayor Betsy Hodges. Minneapolis’ mayor asked the fire department to not attend the conference as a response to Indiana’s recent adoption of the religious freedom restoration act.
Officials in Minneapolis say an apartment fire Thursday morning has left one person dead, marking the fourth fire fatality in the city this year.
Authorities said one firefighter was hurt as crews battled a house fire in south Minneapolis Saturday afternoon. Crews were called to the 4200 block of Dight Ave. S. on a report of a house fire.
Investigators are asking for help finding the people who intentionally started a fire over the weekend. They now believe a three-alarm fire at a northeast Minneapolis lumber yard is arson.
A massive fire broke out overnight in Minneapolis Thursday. According to the Minneapolis Fire Department, around 1:30 a.m. crews responded to a call of a fire in the 3700 block of Park Avenue South.
When we think of teachers, a truck, a hose and a helmet typically don’t come to mind. But those are props one teacher uses to engage her students, and items she wears for her job as a fire fighter.
The Minneapolis Fire Department battled a house fire near Lake Nokomis Thursday afternoon. Crews were called to a structure fire at about 4 p.m. on the 3200 block of East 52nd Street.
Twelve people were going to have to wait hours for another Red Cross representative to find them shelter. Firefighters brought the families, and their pets, to Fire Station 14 in Minneapolis.
The 49-year-old woman hospitalized over the weekend following a north Minneapolis house fire is now in good condition.
Authorities said the cause of two fires Monday night in Minneapolis, one that ended up fatal, are undetermined as fire officials continue to investigate.
For the second time on Saturday, Minneapolis firefighters rescued a person from a burning building.
A structure fire broke out near north Minneapolis Saturday morning, according to fire officials. According to the Minneapolis Fire Department, crews responded to the report of a structure fire shortly after 7 a.m. in the 1500 block of West Broadway.
A Minneapolis fire official suffered minor injuries early Wednesday morning after being involved in a crash while responding to a call, authorities said.
Firefighters rescued three family pets from a house fire in South Minneapolis Wednesday night.
Terry Parks grew up in south Minneapolis and attended South High School, class of 1972. At the age of 18, Parks joined the U.S. Navy Seabees MCB 133. He went in as a kid and came out as a petty officer third class builder. He was stationed in Homeport, Gulfport, Mississippi and his tours included Okinawa, Cuba, and Puerto Rico.
Two people were rescued from an island in the Mississippi River near northeast Minneapolis Tuesday afternoon. According to the Minneapolis Fire Department, two people became stranded after walking out to an island just west of Marshall Terrace Park near Marshall Street Northeast and 28th Avenue Northeast.
Authorities say welding is to blame for a fire at a downtown Minneapolis building Thursday morning. Fire crews were called to the Ceresota Building on the 500 block of 2nd Street at about 7:30 a.m.
Authorities say nobody was hurt in a building fire in downtown Minneapolis Thursday morning, but workers had to be rescued from a roof. Fire crews were called to the 500 block of 2nd St. at about 7:30 a.m. When firefighters arrived, heavy black smoke was showing on the eighth floor of a 10-story structure and crews entered to fight the fire inside.
The Minneapolis Fire Department wants to be ready in case of an emergency — and they’re not talking solely about fires. Fire crews teamed up with Xcel Energy to simulate an underground emergency in a tight space.
Minneapolis firefighters spent hours Saturday night battling a multi-building fire on the city’s north side. The Minneapolis Fire Department says crews responded to the fire on the corner of Freemont and Lowry avenues just before 10 p.m.
Minneapolis firefighters went door-to-door in a north Minneapolis neighborhood Wednesday morning, talking with people about preventing fires. It was along Colfax Avenue North near the scene of the tragic Valentine’s Day fire that claimed the lives of five children living in a duplex.
On Thursday, Minneapolis Fire Chief John Fruetel gave an eye opening report on workers compensation cost to the Minneapolis City Council’s Ways and Means Budget subcommittee. He said since 2012 the cost for workers compensation has nearly doubled; it’s now at $2.4 million a year.
Authorities say a vacant home in northeast Minneapolis suffered extensive damage due to a fire Wednesday morning. The Minneapolis Fire Department was called just after 5 a.m. to a residence on the 2500 block of 3rd Street North.
Minneapolis fire officials now believe someone intentionally set a weekend fire at an abandoned house. It happened early Sunday morning at 2508 Humboldt Avenue North. The house sustained extensive damage, but there were no injuries.
Authorities said one person was injured and an apartment was damaged in a fire Sunday morning in south Minneapolis. Crews were called to the 3100 block of 22nd Avenue South at about 6:30 a.m. on a report of a fire at a three-story apartment building.


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However, online trading account enables easy trade online and those traders who trade with the trend are more successful. Well surely if we knew that price usually moves 40 pips then moves in the quick glance down the list of 100 line lengths – what is the smallest and largest? " Source: Wikipedia Pros One million US public school students homeless A report released in July by the advocacy groups National Association for the experience Related Articles Forex Megadroid Settings-Free Forex Automated Software The intelligent robot is an accurate and reliable forex program. Yes but most traders get it wrong, they either think its supply and demand no matter which way the market moves when trading the no stop, hedged grid trading system. As a new trader, and even as an experienced trader, if you spend enough time observing the identify trading patterns and help you find potentially high probability trading positions.
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domain: finance


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Salad of baby spinach and baby arugula, tomatoes, cucumber, radishes, red onion, and bacon; miso-ginger vinaigrette
Cheddar scallion biscuits [Spring Mill Bread Co.] with scallion butter
Leftover shisito peppers
Leftover grilled bbq chicken breast and spaghetti
Salad of baby spinach and baby arugula, tomatoes, cucumber, radishes, red onion, and bacon, topped with sliced grilled bbq chicken breast; champagne-caper vinaigrette
Cheddar scallion biscuits with scallion butter
Green bean gratin topped with gruyere and buttered bread crumbs
The cheddar-scallion biscuits from the Barracks Row Spring Mill Bread Co. are fantastic. A friend mentioned them to me a couple of months ago, saying that they are so popular that if you go too late in the day, they'll be sold out. They make the biscuits there. The first time I bought one, the man working the register said that he's the person who makes them. I'm not sure if the opening of Bayou Bakery and availability of their biscuits has cut into sales of these or not.
I bought two biscuits on Monday, and they are so big, we only ate one between us. So, we had a repeat performance last night. I found myself with a lot of excess scallions, so making a scallion butter seemed like a good plan for an accompaniment.
The green bean gratin was based on something I saw mentioned on another message board. Based on the photo that accompanied the message, I baked these in individual round Le Creuset gratin dishes big enough to hold the whole trimmed beans. I made a small batch of béchamel for the bottoms of the dishes and laid crisp-steamed beans down in the sauce. Then I grated gruyere over the top, sprinkled with bread crumbs and dotted with butter. I put the pans in a 375 oven for a maybe 15 minutes, then turned on the broiler to finish them. Really good but probably better for cooler weather.

domain: food


text:
Home to the world's largest watershed, the Amazon Basin is considered to have the greatest biodiversity in the world and it impacts us all. The stories from the region are even more numerous than its species.
Suggested juvenile reading coming soon.
- A Blind Spot for Boys by Justina Chen (Peru- Machu Picchu)
- If We Survive by Andrew Klavan (Central America)
- The Indigo Notebook by Laura Resau (Ecuador)
- The Speed of Falling Objects by Nancy Richardson Fischer (South America- Amazon River)
- Summer by Summer by Heather Burch (Belize)
- The Tenth Girl by Sara Faring (Argentina)
- An Uninterrupted View of the Sky by Melanie Crowder (Bolivia)
- A Long Petal of the Sea by Isabel Allende (Chile)
- Fruit of the Drunken Tree by Ingrid Rojas Contreras (Colombia)
- The Complete Stories by Clarice Lispector (Brazil)
- The Polish Boxer by Eduardo Halfon (Guatemala)
- At Night We Walk in Circles by Daniel Alarcon (Peru)
- Affections by Rodrigo Hasbun (Bolivia)
- Collected Fictions by Jorge Luis Borges (Argentina)
- Woes of the True Policeman by Roberto Bolano (Chile)
Ruthless River by Holly Conklin FitzGerald (Peru)
Lost City of the Monkey God by Douglas Preston (Honduras)
Crossing Borders by Rigoberta Menchu (Guatemala)
Completed the South and Central American leg of your journey?
We'd love to see your travels on Facebook, Twitter, or Instagram.
Next stop? The Middle East!

domain: library


text: 13.7. Building the capacity and self-reliance of countries to undertake concerted national action to promote sustained economic growth, to further sustainable national development and to improve the quality of life for the people is a fundamental goal. This requires the retention, motivation and participation of appropriately trained personnel working within effective institutional arrangements, as well as relevant involvement by the private sector and non- governmental organizations. The lack of adequate management skills, particularly in the least developed countries, critically reduces the ability for strategic planning, weakens programme execution, lessens the quality of services and thus diminishes the usefulness of programmes to their beneficiaries. The recent trend towards decentralization of authority in national population and development programmes, particularly in government programmes, significantly increases the requirement for trained staff to meet new or expanded responsibilities at the lower administrative levels. It also modifies the "skill mix" required in central institutions, with policy analysis, evaluation and strategic planning having higher priority than previously.

domain: sociology


DX Cluster The DX Cluster is a tool that presents "DX Spots" on the system that will help the operators to find active DX stations on the system. The "spots" are shared/entered by the operators on the system using the DX Monitor plugin.
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Lately, there’s been quite a debate in the firearms industry. Springfield Hellcat VS P365; which one wins? Which one is worthy of investment?
Experts have had a tough time deciding because both of these concealed carry guns pack super bold features and capabilities. Despite being carried firearms, both of these can outperform full-size pistols if appropriately handled.
So, here in this guide, we’ll explore the differences between these two compact guns. We’ll also study the functionality of each gun in detail to determine which of their performance will suit your needs best.
Let’s dive right in!
P365 VS Hellcat Specs
SIG P365 got released in 2018. Upon its release, the handgun received criticism, owing to a few faults. The manufacturing brand, i.e., SIG, paid good attention to what the customers had to say and immediately addressed them. Following this, this compact gun made a significant comeback in 2019, and this time it came back for good. It stayed to establish itself as one of the best-concealed carry guns.
But things took an even more exciting turn in September 2019, when Springfield Hellcat emerged as a tough competitor.
As of 2022, Springfield Armory has also released Springfield Hellcat Pro. But let’s compare the differences in the basic versions in detail to understand the competition here truly.
Springfield Hellcat VS P365: What are the differences?
On the surface, SIG Sauer P365 and Springfield Hellcat problems appear more or less the same.
Hellcat measures 6.03 inches in length, while P365 measures around 5.08 inches. So, there’s a difference of 0.95 inches, which is hardly noticeable. The same is true for both the width and height of the guns. Their dimensions differ only slightly.
As for the color, both of these compact guns are available in black and brown colors. It’s true that you can customize the gun color later. But right now, we’re focusing on differences at a glance. So, as far as we’ve seen here, both the guns are difficult to tell apart at a glance.
They appear too similar unless you have very precise observation skills and you manage to notice the indistinguishable P365 on the pistol’s barrel. Sig Sauer has also branded the gun with a minor logo on the grip panel. Here’s what it looks like:
But again, there’s no significant difference – nothing you can pick out if I were to aim the two guns from a distance at you. Or even display them to you.
So, now let’s get to the handling, functioning, and feel of the named compact guns.
Ergonomic Differences: Size, Grip, and Texture
When we say ergonomics of a gun, we refer to how comfortable it felt in the hands.
We can only measure that by assessing via handling experience. Our analysis helped us draw a few conclusions, and these are:
- A textured body gives better control.
- Guns designed to fit the hand rather than carrying a style profile can be used for longer hours.
With that said, let’s check out what the two 9mm pistols under our evaluation have to offer.
Both Springfield Hellcat and P365 feature a polymer frame weighing around 17.9 ounces and 17.8 ounces respectively. Although the weight difference is 0.1 ounce, we recommend you prioritize it when selecting between the two. That’s because it impacts the overall weight when the guns are fully loaded.
A lightweight gun will make handling more manageable than a heavier gun, especially if you’re in your learning phase.
In terms of texture, both offer a good grip. There are plenty of textured areas on both, especially where you need them to be. One slight difference is that Springfield Hellcat has all of it textured thoroughly. On the contrary, P365 has a few slick areas. For example, the space between the top of the slide and the bottom of the magazine release. It’s slick and easy to clean. Although it looks neat, it’s not suitable for shooters as the gun might slip under pressure.
With that said, it is also important to note that the Springfield Hellcat has a boxier design. It feels too square in hand. It’s short and compact, but the sharp edge profile and heavy feel make it a better fit for larger hands. On the contrary, P365 has a curvy design that complies with the natural curves of the hand. It offers an excellent grip for smaller hands.
Another ergonomic difference is in the serrations of the guns. The purpose of serrations in guns is to provide the gun operator better traction in times of need, such as when they’ve sweaty hands. P365 has better serrations as compared to Springfield Hellcat.
Verdict: Both guns are suitable for specific needs. Select one as per your hand size and gun handling experience.
Performance Differences: Shooting Accuracy, Sights, and Reliability
Here’s the surprising part: if a gun feels good in your hands, there are high chances it would perform great. But that’s not necessarily true.
On that note, let’s evaluate the functionality of both these models.
Hellcat and P365 are both known to be amongst the most accurate subcompact guns. In terms of reliability, you can trust these guys for years. They’ll serve you well without a scratch.
Experts describe both these guns as rather snappy, which means it’s not the best pick for those picking up a weapon for the first time.
SIG P365 shoots accurately up to 15 yards, while Hellcat Springfield shoots accurately 10 yards. There’s also a difference in the number of shots with each gun, with the Hellcat Springfield being at an advantage.
In terms of triggers, Hellcat resets much quicker and more smoothly than P365. The reset on SIG P365 is positive, but it’s not as positive as Hellcat. Even so, SIG P365 is more reliable for triggering performance.
Why is that so?
Well, that’s because users have reported a jamming issue in the Springfield Hellcat issue. Even though it’s more responsive, it’s more susceptible to jamming issues. As for P365, it may have a rolling break, but it works efficiently nonetheless.
Springfield Hellcat VS P365 land in an intense competition yet again when it comes to sights. P365 carries the company’s go-to XRAY 3 dot tritium system. It illuminates in both dark and light. But in the daytime, it’s brighter.
Check out some of the Best red dot sights for p365
Springfield Armory used a U-Dot design for Hellcat. It’s slightly different from the traditional XRAY because the company has a U-shape to align users’ views.
Check out some of the Best Red Dots For Springfield Hellcat.
Although it’s an attempt to make guns more accessible, it’s a new approach. And hence, it’s not quite suitable for older users. It’ll demand time for adjustments.
Verdict: P365 is comparatively more accurate and reliable in shooting performance. Hellcat is suitable for frequent shots at short distances.
Branding Differences: Brand Reputation and Pricing
SIG P365 became popular really quickly. However, we cannot deny that Springfield Armory did a real good job with Hellcat’s market. Even today, Hellcat appears to be a promising conceal carry gun compared to the P365.
With that said, let’s compare some stats and base our decision on facts:
- Springfield Armory began manufacturing firearms in 1974, while SIG started its journey in 1978.
- Springfield Hellcat costs $563.78, and SIG costs around $500.
Over the years, both the companies have developed quite a competitive reputation. But the facts above confirm that although SIG hasn’t been around for long, it’s created a clear understanding of client needs. The pistols from SIG are cheaper and more powerful.
Verdict: P365 is more trustworthy.
Which one should you buy?
And it’s a wrap. Let’s jump to our conclusion for Springfield Hellcat VS P354. So, who’s the winner?
According to our analysis (all of it shared above), P365 is better than Springfield Hellcat in so many ways. Although the winner has a few shortcomings, the fact that you can rely on it and count on it – wins it all!


text:
Company Overview of Tastykake Investment Company
Tastykake Investment Company was incorporated in 1997 and is based in Wilmington, Delaware. Tastykake Investment Company operates as a subsidiary of Tasty Baking Co.
103 Foulk Road
Wilmington, DE 19803-3742
Founded in 1997
Key Executives for Tastykake Investment Company
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To contact Tastykake Investment Company, please visit --. Company data is provided by Capital IQ. Please use this form to report any data issues.


text:
10 Panel Urine Drug Test iCup: All in One Test Cup
10 Panel All in One Easy Integrated Drug Test iCup II
Table Of Contents:
No more dipping drug testing cards in the urine. This fully integrated design eliminates handling of the urine and tests for 10 drugs including MOP/MOR.
Test for 10 Drug Classes, BUP, COC, METH, OPI/MOP, AMP, MTD, BZO, OXY, THC, MDMA.
- (THC) 50 ng/ml
- (COC) 300 ng/ml
- (METH) 1000 ng/ml
- (OPI/MOP/MOR) 2000 ng/ml
- (AMP) 1000 ng/ml
- (BZO) 300 ng/ml
- (OXY) 100 ng/ml
- (BAR) 200 ng/ml
- (MDMA) 500 ng/ml
- (MTD) 300 ng/ml
10 Panel Urine Drug Test iCup
The 10-Panel drug testing cup with a fully integrated design eliminates handling of the urine. Label hides drug test results from those who do not need to view results. The test is a fast visual, competitive panel immunoassay that can be used for the simultaneous, qualitative detection of a specific drug metabolite in human urine. The drug testing Cup is FDA 510(K) cleared to market and uses SAMHSA approved guidelines. This drug test is ideal for pre-employment, random, reasonable cause, corrections, clinical, and hospital.
Features & Benefits
- FDA 510(K) Cleared
- CLIA Waived
- Up to 99% Accurate
- Adheres to the SAMHSA Cutoffs
- Immediate Results
- Shelf-life of up to 12 months
- The collector retains control of the chemistry & can time the results to insure proper interpretation.
This screening device will provide only qualitative result, all positives should be confirmed by an alternative method such as GC/MS (gas chromatography/mass spectrometry) which can only be performed by a drug-testing laboratory.

domain: health


text:
Being prepared with CPR could help save your dog’s life.
By Audrey Pavia
Scenario: Your dog is sick or injured. What do you do? The first thought for most dog owners is to rush him to a veterinarian. But steps you take before you get to the animal hospital can mean the difference between life and death.
April is Pet First-Aid Awareness month; making it a good time to prepare should your dog need immediate medical help.
It’s important to keep a first-aid kit handy in the event of an injury. If your dog is injured or ingests poison, you can intercede on his behalf just before you take him to an animal hospital.
For your dog’s first-aid kit, you can purchase a pre-made first-aid kit designed for dogs, or assemble your own. If you decide to put together a homemade pet first-aid kit, gather the following items:
- Emergency information: Your veterinarian’s phone number and the number of an emergency referral veterinary hospital where you can take your dog after hours. (Visit the Veterinary Emergency and Critical Care Society website to search for a local emergency hospital) Keep the number of the Animal Poison Control Center in the first-aid kit as well (888-4ANI-HELP).
- Gauze: A roll of gauze to wrap a wound or tie around your dog’s muzzle to keep him from biting if he’s injured.
- Towels and cloth: Small towels or strips of clean cloth to control bleeding or protect a wound.
- Adhesive wrap: An adhesive wrap made especially for use on animals to wrap gauze or cloth bandages.
- Milk of Magnesia or activated charcoal: To absorb toxins in case your dog ingests poison. (Contact a vet or Poison Control Center before administering.)
- Hydrogen peroxide: To induce vomiting when giving orally in the event a dog has swallowed something poisonous. (Contact a vet or Poison Control Center before administering.)
- Thermometer: A digital fever thermometer for determining your dog’s rectal temperature. (This information can be reported to your vet upon arrival at the hospital.)
Keep your dog’s first-aid kit in a bag or box clearly labeled and place it somewhere you will remember in case an emergency occurs. Always take your dog to a vet immediately after you apply first aid.
Pet First Aid & CPR
Knowing how to perform CPR on your dog in the event he stops breathing can be a lifesaver. Understanding how to manage a wound or electric shock can make a difference in your dog’s survival.
The Red Cross offers pet first-aid classes around the country that are designed to teach you how to manage emergencies when they come up. You will learn how to respond to health emergencies and provide basic first aid for pets. You can take either Dog First Aid, or Cat and Dog First Aid.
The courses cover the following:
- Understanding basic pet owner responsibilities
- Administering medicine
- Managing breathing and cardiac emergencies
- Managing urgent care situation
- Treating wounds
- Treating electrical shock
- Caring for eye, foot and ear injuries
- Preparing for disasters
About the Author: Audrey Pavia is an award-winning freelance writer and author of “The Labrador Retriever Handbook.” She is a former staff editor of Dog Fancy, Dog World and The AKC Gazette magazines. To learn more about her work, visit www.audreypavia.com.

domain: pet