what are different aspects of trading strategies in detecting premium and discount ?

• Technical analysis is a fundamental trading tool for successful traders.
• Technical analysis involves using a set of trading tools to evaluate an asset’s past movements and attempt to forecast its future movement using statistics such as price movement and trading volume.
• Technical analysis focuses on the charts showing price movements, patterns, and using certain tools and indicators while trying to identify strength or weakness in trends to forecast future price movements.
• Utilizing a certain set of indicators and tools to develop your trading strategy is necessary for long term success.
• Technical analysis helps identify and trade the gap between intrinsic value and market price.
• Different types of traders and trading styles include day trading, swing trading, trend trading, and position trading.
• A trading algorithm can help many traders who would be susceptible to letting their emotions cloud their trading judgment.
• Support and resistance are key price levels that act as barriers that stop or slow down price action from hitting certain price levels.
• A Bollinger Band is a TA indicator defined by a set of trendlines plotted two standard deviations away from a simple moving average of price.
• The MACD line is calculated using a formula of two different exponential moving averages. The second line is known as the signal line which uses a different moving average.
• Traders looking to automate trading may rely heavily on moving averages.
• Breakout trading can also be referred to as Buy The Dip trading, but breakouts happen in both directions which is why many will call it Breakout Trading.
• The most common TA indicators used in this trading method are Bollinger Bands, Moving Average Convergence Divergence(MACD), and RSI.
• A swing trader may trade a few times a week on average.
• Position traders are long term positions that avoid the day to day volatility of cryptocurrency trading.
• Holders, or hodlers as they’ve been called in the crypto space, can be considered position traders.
• Most hodlers do not use any kind of technical analysis or fundamental analysis.
• Learning to not just be a hodler can pay huge dividends if you learn the basics of trading these market swings over time.
• Once you identify your trading style, you need to determine your technical analysis strategy.
• Keeping a trading journal of each trade, what you predict, and why will help you to identify the true effectiveness of your trading strategy.
• It is important to decide what strategy or combination of strategies works best for you.
• Consistency is important over time.
• Using too many indicators and tools can cloud your judgment

Notes:

• The webpage is on Reddit and is about a trading strategy for the Tradingview platform.
• The author is sharing their strategy for free and notes that they use it with a bot that listens to Tradingview signals, but they also added traditional trading signals.
• They provide a link to the Tradingview script and offer to give access to it.
• Someone comments on the post, noting that the performance looks unrealistic and asks about how the trailing stop is implemented.
• The author responds, noting that while Tradingview only uses OHLC data in backtesting, live performance is still better. They also explain how the strategy looks for entries and why the values seem unrealistic.
• Another person comments, asking if the strategy works on smaller timeframes, and the author responds that the strategy works in 15M, 30M, 1H, and 4H timeframes.
• The author updates the post with a picture of bots running using the strategy.
• There are several comments from people who want the author to invite them to their Tradingview script, and the author replies to each with an invitation.
• Some users report back on using the strategy and ask for advice or help troubleshooting, which the author responds to.
• One user reports that the strategy works with a 0.25% commission fee but turns negative after including commissions, spread, and slippage.
• The author responds that the strategy considers commission, spread, and slippage and that in their experience, it takes between 4-6 seconds for the strategy to send the buy/sell signal to the exchange.
• The author provides links to some live tests of the script that they have conducted on various cryptocurrency pairs.
• There are several more comments from people requesting access to the script and reporting on their use of it.
• Some users have questions about how to optimize the script for different pairs, and the author provides advice and suggestions.

Not used in article

Not used in article

Not used in article

Not used in article

Not used in article

• Vuforia, Tensorflow, and OpenCV are libraries used for computer vision, specifically for object detection and recognition.
• Vuforia is an augmented reality library used to find image targets around the field and determine robot position with respect to them.
• Tensorflow is a machine learning object detection library used to detect common game elements such as balls and blocks, and determine their position and rotation.
• Tensorflow models are given to teams at the beginning of each season.
• Vuforia and Tensorflow are considered unreliable by some teams, so they use OpenCV instead.
• OpenCV is a general-purpose, open-source computer vision library that can perform various functions such as video capture, image processing, feature detection, object detection, and recognition.
• FTC teams can use EasyOpenCV to incorporate OpenCV into their projects.
• The most common use of OpenCV is to detect distinctly colored objects using color masking, but it can also be used for AR-style detection used in Vuforia and object detection in Tensorflow.
• OpenCV can be more difficult to implement than Vuforia or Tensorflow because teams need to train their own models.
• Color detection in OpenCV is considered one of the most reliable methods for detecting most objects.
• OpenCV has tons of resources and tutorials online for various methods of filtering and detecting, although most are in Python rather than Java.
• EasyOpenCV does not provide a baseline detection implementation and requires teams to determine what to do with the information it gathers from the images.
• Some applications of OpenCV include:
  • Facial recognition
  • Autonomous cars
  • Traffic analysis
  • Motion detection
  • Adaptive cruise control
  • Patient monitoring
  • Robotics
• OpenCV can be used for image filtering to improve image quality and remove noise.
• OpenCV can also be used for shape detection, object tracking, and feature detection.
• OpenCV can be used for advanced image processing applications such as edge detection, image segmentation, and morphological operations.
• OpenCV is cross-platform and compatible with C++, Python, and Java.
• OpenCV is used by various industries for a wide range of applications such as multimedia, medical imaging, security, and automation.
• Color detection in OpenCV can be performed using the following steps:
  • Convert the image to the HSV color space.
  • Define the color range to detect and create a binary mask.
  • Apply the mask to the original image to obtain the result.
• The advantages of OpenCV over other libraries:
  • Open-source

Not used in article

• “The Real World” is a course offered by Andrew Tate that teaches students how to start and run businesses.
• The course costs $49.99 a month.
• One user said that the course has helped them land a full-time job as a Social Media Specialist with a salary of $45,000 a year, without any prior experience and being a non-native English speaker.
• The course requires hard work and following the guides, but can save time compared to learning on one’s own and avoid making mistakes.
• There are AI design tools, branding, posting schedules, and social media tools available in the campuses.
• People in the platform’s community are making varying amounts of money from $80 a month to over $10,000 a month.
• Some users share a free link to access Andrew Tate’s course.
• The course has multiple campuses centered around different topics.
• The course’s website advertises students’ successes, but some users question the authenticity of those results.
• There is an affiliate program for the course that pays $11.99 per sign-up.
• Some users criticize the course, saying it is falsely advertised, involves students teaching students, and the professors are unresponsive.
• Other users defend the course, saying they have learned valuable skills in the platform’s content and community.
• Multiple users criticize each other’s opinions on the course and resort to insult and emoji usage.
• Overall, the webpage discusses one specific course on entrepreneurship that may not have direct relevance to the query on trading strategies for detecting premium and discount.

Not used in article

Not used in article

Not used in article

Not used in article

• Users share their own profitable trading strategies
• Virtually any strategy can be profitable, the hard part is executing it and going through the ups and downs.
• Backtesting trading ideas until a profitable system with a positive expected value (EV) is found.
• Price action trend-following systems can be profitable, where longs are taken if the 13-EMA is sloping up, shorts are taken if it is sloping down, and nothing is done if it is relatively flat.
• Wait for a trending candle to close in the direction of the trend with a body greater than 50% of the total candle’s range and closes near its high(low).
• Open a trade with position size 0.5% of initial balance, no TP, and SL 2xATR (take the value of the ATR indicator and multiply it by 2).
• Once you hit 2xATR in profit, set the SL to break even and tighten the trailing stop to 1.5xATR.
• Once you hit 4xATR in profit, tighten the trailing stop to 1xATR.
• The strategy should be executed on any instrument/any timeframe where volatility is relatively high and trends are more common or just as common as ranges and consolidation.
• The strategy is tested on various instruments and timeframes including AUD/CAD, AUD/NZD, CHF/JPY, EUR/GBP, and EUR/USD, and proven to be profitable.
• An intraday trader may find the strategy suitable since usually they don’t have 5+ positions open simultaneously.
• The strategy is hard to execute since it requires following the system without intervening in any way.
• Profitable traders don’t necessarily share their strategies openly.
• ICT/SMC is based on price action.
• There are profitable ICT traders who make money and live their lives and not on Reddit, they use ICT 2022 model which has been tweaked to fit their trading style better and presents itself 2-3 times a week, and they can usually get between a 1:4 and 1:15r trade each time.
• It is important to develop your own strategy based on how you see the market since nothing works for everyone and people have different views and risk management styles.
• Managing risk is important since you could flip a coin, buy for heads and sell for tails or vice versa and still be profitable if you managed the risk correctly.
• Judging a strategy based on a short period of time

• Question: Do common strategies actually work or did you have to create your own strategy, perhaps even something niche and original?
• Common trend following/reversal patterns using candles and basic indicators work very well, but recognizing those patterns and the context they are occurring within is key
• It’s a great idea to learn some core concepts for your own strategy, but you need to tailor it to your personality and trading style to discover what’s most successful for you
• Classic patterns - flags, wedges, triangles, bases, pullbacks - are timeless because they represent the demand/supply relationship between buyers/sellers
• Consider support/resistance, multiple time frame analysis, trend quality, etc. when deciding which patterns are worth taking
• No ‘common’ strategy like RSI or EMA crossover works over the long term and people who make money have a unique edge that plays to their mental strengths
• People should research and develop their own strategies and prove that it works in real-time, rather than relying on pre-existing strategies
• Indicators should not be the sole basis for trading decisions; traders should watch the level 2 and charts to make sure things continue to do what is expected and rely on a mix of indicators and intuition
• Successful traders can manage risk, manage their winners, control their emotions, follow their rules, understand market structure, order flow, supply/demand, liquidity, and technical analysis

Note: None of the discussions directly address trading strategies in detecting premium and discount.

Not used in article

Not used in article

Not used in article

Not used in article

Not used in article

Not used in article

Not used in article

• The webpage is a post on the r/algotrading subreddit titled “Peak detection and trendlines” from 4 years ago.
• The post shares a Python function for detecting “Lows and Highs” on a price chart.
• The post seeks advice on detecting and using trendlines, as well as triangles, wedges, and trading channels, for trading purposes.
• Commenters offer suggestions and techniques for detecting peaks, trendlines, and support/resistance lines with technical analysis and machine learning.
  • One commenter suggests detecting S&R/S&D first before detecting trendlines, and mentions using fractals for touches and delaying recalculation of TLs to allow tolerance for minor crossovers.
  • Another commenter suggests comparing a point to the average of the next X data points to determine peaks, with X being the “lookback” period.
  • Another suggests using a moving slope calculation with LINEARREG_SLOPE and a defined lookback period.
  • Another shares a Python code for identifying SR lines through Machine Learning.
• Commenters also voice disagreement on the usefulness and reliability of technical analysis and chart trading in general:
  • Some see it as statistically insignificant and hard to use in real-time due to fluctuations.
  • Others find the focus on trendlines to be overrated given that they only represent what institutional money does.
  • Others counter that chart trading can still be useful, and prove experience and profit out of it.
• There are some requests for further readings, papers, or progress updates, as well as expressions of support, disagreement, and curiosity among commenters.

💭  Looking into

Comparison of premium and discount detection strategies

💭  Looking into

Factors that influence the effectiveness of premium and discount detection

💭  Looking into

Types of trading strategies used in detecting premium and discount