Let's get back to the basics! ..4In this chart I have made it simple.
I accept that price can appreciate further but I will be looking for sell opportunities at levels posted earlier.
My main concern is how to handle this gigonormic rise with the expected fall to come. It will come and if you are following I assure you it will come by early December.
Logic:
Election results
FED rate Cut decision
Gradual decrease in Iran / Israel tension
US Government debt alleviation plan
Indian not buying gold even if it is the peak season
China's artificial stimulus
Please do not trade in isolation. Those out there who are showing massive profits are fudging you. God has given you a brain please use it !!
X-indicator
Replace a 100 000 USD salary with income from trading🔸 Develop a Strong Foundation in Forex Trading
Before considering Forex as a full-time source of income, it’s essential to build a solid foundation in trading.
▪️Learn the Basics: Understand Forex fundamentals such as how currency pairs work, how to read charts, how the market operates, and how global economic events affect price movements.
▪️Master Technical and Fundamental Analysis: Study technical analysis (price action, indicators, chart patterns) and fundamental analysis (macroeconomic data, interest rates, geopolitical events). This allows you to make informed trading decisions.
▪️Study Risk Management: Managing risk is crucial to avoid catastrophic losses. Learn how to calculate position sizes, set stop-losses, and limit leverage. Most professional traders risk no more than 1-2% of their capital per trade.
▪️Backtest and Paper Trade: Test your trading strategies on historical data and in demo accounts to ensure they are profitable over time. This will help you refine your approach without risking real money.
🔸 Create and Test a Trading Strategy
A successful trading career requires a well-defined trading strategy. This is critical for consistency and profitability.
▪️Define Your Trading Style: Determine whether you are a day trader, swing trader, or position trader, based on your risk tolerance, time availability, and financial goals.
▪️Build a Strategy Based on Time Frames and Setups: Whether you focus on scalping, trend trading, or breakout strategies, you need a strategy that works for your trading style. Be sure to incorporate indicators (moving averages, Fibonacci retracement, RSI) and a risk-reward ratio.
▪️Test the Strategy: Test your strategy on demo accounts or paper trade until you have confidence in its profitability over the long run. A good strategy should consistently deliver positive results over several months and market conditions.
🔸 Accumulate Enough Capital
Forex trading requires sufficient capital to replace a salary and generate consistent income.
▪️Set Realistic Capital Requirements: The amount of capital you need will depend on how much monthly income you need and how much risk you are willing to take. Generally, to replace a full-time salary with Forex income, you will need significant capital (likely in the range of $50,000–$100,000 or more). This amount allows you to generate enough returns without taking excessive risks.
▪️Calculate Your Required Return on Investment (ROI): Let’s say you need $3,000 per month to replace your salary. If you have a $100,000 account, you would need a 3% return per month. If your account is smaller (e.g., $10,000), you would need a much higher (and riskier) 30% return, which is unrealistic in the long run.
▪️Use Leverage Cautiously: Leverage can magnify both profits and losses. While Forex brokers often offer high leverage (e.g., 50:1, 100:1), it’s essential to use leverage cautiously, as it can lead to significant losses if a trade goes against you.
Let's get back to the basics! ..3October 21 - 25 Roadmap
Fib extension levels indicated are sell levels
Green boxes or demand are buy levels (accumulate) with proper risk management
Pink box is your ideal retracement target
Sell Stop (NOT Stop loss) blow 2627)
This is my trading plan and not a recommendation. I am sharing and caring that is all. What you do is your own decision!
Let's get back to the basics! ..2The point of this chart is to demonstrate that prices dont just go zoom boom or crash bang! there is a semblance. Always remember the market is an efficient self correcting mechanism and that is why fair value gaps or imbalances are filled more often than not.
If the price elevates way above the 20 period moving average it means there is a distort in the market, and the market fixes the distorty. This is old school I agree, but it is tried and tested and it works. Your turn to agree!
Can you Identify these two Tradingview Indicators?I bumped-into two very unique tradingview indicators a while back, and I have been trying to identify them ever since. I have looked at hundreds, maybe thousands, of Indicators, and cannot find these two or who makes them. The Second one looks like the Ichimoku Oscillator but is not.
Now, i am on a Quest to find them. I have asked Tradingview help, and couple of the moderators, and they didn't know what they were. Can you help me identify them?
Let's get back to the basics!In this chart I have kept it simple. Old school style because I am old school. If you have the time please ponder on these fundamental and technical points.
1. Gold is overbought on higher time frames
2. Why is it overbought ? Clue (Sharks)
3. DT is edging ahead in the races and that is bad for gold and sharks know it
4. Middle eastern crisis is no bad or no worse than last week
5. DXY and US10Y is rising and XAU is rising in tandem? why ?
6. There are two plays here manipulation and FOMO
7. Manipulation drives FOMO. Sharks want to exit their longs and clear out the stops of the retail crowd and then crash boom bang. The sharks enter at lower prices
8. All the hype that you see on the media about US Debt and other countries cutting interest rates? What BS? do you buy it ?
9. Understand this simple fact. Gold costs you swap/interest or whatever you want to call it. Do you think the sharks don't understand this fact ( I am sure retail traders dont pay attention to such minor details)
10. Who makes the sharks richer?
I do not have a crystal ball but I can assure you that even if Fib levels or the MA levels dont work common sense will work.
I am selling and I am not asking you to sell. I will buy at 2580 and then layer it to 2530 in the coming week. Sorry I am more of a buffet guy.
Like or dislike is not my problem. This post is mostly for retail traders who have been taught BS by professional thieves!!
if you use technical analysis you owe a lot to these individualsTHE HISTORY AND ORIGIN OF TECHNICAL ANALYSIS
I am a firm believer that as investors/traders we need to know the historic and major events that have occurred in this magnificent field of ours that have shaped how it is today.
Today i want to shed light of knowledge on the history/origin of technical analysis as this is a widely used concept that is used by majority of traders/investors to analyse/predict future market moves through the evaluation of historic market data especially price, volume and implied volatility and many have made a living and good returns on the financial markets using the various technical analysis tools and concepts but not knowing where it all started.
many do believe that technical analysis was initiated by Charles Dow in the 1800s but this is not true as evidence of Technical Analysis dates far back as to the 17th century from basic and underdeveloped methods as compared to the more evolved ones used in Morden-day times.
Let's get straight into it:
17th CENTURY
-- 1. the Dutch east India Company traders
The Dutch East India Company which was formed in the Dutch Republic, Amsterdam in 1602 which is known to be the first publicly traded company, trading mainly in spices, Indigo and cotton, which gave way to the first financial market the Amsterdam Stock Exchange. Here is when the earliest forms of technical analysis came to show when the Dutch traders would graph record/keep track of the various price fluctuations of their stock but in a basic form.
2. José or Joseph Penso de la Vega
still in the 17th century a Spanish diamond merchant, philosopher and poet best known also as Joseph de la Vega, born 1650 in Spain also considered one of the earliest financial market expert published a marvellous financial read called "Confusion De Confusiones" which provided detailed awareness of how the Dutch financial market participants operated focusing on their illogical behaviour and price patterns they used further more hinting on technical analysis with his descriptions of technical analysis concepts such as puts, calls and pools which are still relevant in Morden-day technical analysis and how he used these in the Amsterdam Stock Exchange.
18th CENTURY
Homma Munehisa
Homma Munehisa, born 1724 in Sakata, Japan a Japanese rice merchant trading in Dōjima Rice Exchange developed what i consider the most popular form of technical analysis which proved high standards of acceptance as traders/investors world-wide still use it in modern-day times, he initiated the Japanese Candlestick/ K-Line (primarily known as Sakata Charts), which is a price chart that's represents the open, close, high and low prices of a security for a specific time period which was introduced in his book "THE FOUNTAIN OF GOLD- THE THREE MONKEY RECORD OF MONEY" which also shared insights about chart patterns, markets trends and traders human emotions.
LATE 19TH AND EARLY 20TH CENTURY
Charles Henry Dow
considered father of technical analysis born 1851 Charles Dow is the one that first to induct modern-day technical analysis in the United States Of America, he was an American journalist who co-founded Dow Jones and Company which is a publishing firm along ide Edward Davis Jones and Charles Bergstresser. He also co-founded The Wall Street Journal which its first publication was on July 8, 1889 which became the the most reputed financial publication and first of it's kind which was a series of texts that discussed his observations of the U.S stock market especially the industrial and transportation stocks listed in the U.S stock market this gave way to the Dow Jones Industrial Average and Dow Jones Transportation Average, he also held a strong believe that "the stock market as a whole was a reliable measure of overall business conditions within the economy"
he also developed the Dow Jones Theory which states that the market has 3 trend phases which was a significant breakthrough in technical analysis as this theory aids traders/investors in identifying the major, intermediate and minor trends in the market.
after his passing many other technical analysis developers came from studying his work/publications which include the likes of William Hamilton who later become the editor of the wall street journal, others notable followers of his work include Robert Rhea, George Shaefer and Richard Russel.
another prominent figure in the development of modern-day technical analysis is
Ralph Nelson Elliot
born 1871 whose financial career started as an accountant, Mr. Elliot was famously known for studying 75 years of historical stock market data and recording his research and findings manually as computerized systems where limited which i believe is very outstanding.
his work is based on a theory that market movements are not random and that the markets moves in specific trends and patterns (waves) which are influenced by traders/investors psychology.
his wave theory gained traction in March 13, 1935 when he stated that the the market will make a bottom and indeed the following trading day the Dow Jones Industrial Average made it's lowest closing price, which proved his Elliot Wave Theory to be a significant technical anaysis concept.
20th CENTURY
Technical Indicators
with the aid of computerized systems technical analysis evolved into technical indicators which are computer systems backed by mathematical calculations of price data which apply these calculations to analyse large volumes of market data incorporated by algorithms which overlap on charts to forecast future price movements.
hope you have a fun read and learned something new.
“In learning you will teach, and in teaching you will learn.”
Phil Collins
put together by Pako Phutietsile as @currencynerd
The parameters for the Ichimoku Trinh Phat indicator for BTCUSDTThis adjustment of some paremeters will suitable for BTCUSDT and the price will react much better with Dagger 65 (a strong support and resistance)
Tenkan: 13
Kijun: 25
Dagger 65: 80
Other parameters are unchanged.
You should find suitable paremeters for each markets to fully utilize this indicator.
Best to combine this indicator with RSI Cylic smoothed V2 to find turning point.
The Coin Market is Different from the Stock Market
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
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The coin market discloses a lot of information compared to the stock market.
Among them, it discloses the flow of funds.
Most of the funds in the coin market are flowing in through USDT, and it can be said that it currently manages the largest amount of funds.
Therefore, unlike the stock market, individual investors can also roughly know the flow of funds.
Therefore, you can see that it is more transparent than other investment markets.
-
USDT continues to update its ATH.
You can see that funds are continuously flowing into the coin market through USDT.
USDC has been falling since July 22 and has not yet recovered.
The important support and resistance level of USDC is 26.525B.
Therefore, if it is maintained above 26.525B, I think there is a high possibility that funds will flow in.
If you look at the fund size of USDT and USDC, you can see that USDT is more than twice as high.
Therefore, it can be said that USDT is the fund that has a big influence on the coin market.
USDC is likely to be composed of US funds.
Therefore, if more funds flow in through USDC, I think the coin market is likely to develop into a clearer investment market.
But it is not all good.
This is because the more the coin market develops into a clearer investment market, the more likely it is to be affected by the existing investment market, that is, the watch market.
This is because large investment companies are working to link the coin market with the coin market in order to make the coin market an investment product that they can operate.
In order for the coin market to be swayed by the coin-related investment product launched in the stock market, more funds must flow into the coin market through USDC.
Otherwise, it is highly likely that it will eventually be swayed by the flow of USDT funds.
Therefore, USDC is likely to have a short-term influence on the coin market at present.
-
As mentioned above, the most important thing in the investment market is the flow of funds.
The flow of funds in the coin market can be seen as maintaining an upward trend.
Therefore, there are more and more people who say that there are signs of a major bear market these days, but their position seems to be judging the situation from a global perspective and political perspective.
As mentioned above, the funds that still dominate the coin market are USDT funds, which are an unspecified number of funds.
Therefore, I think that the coin market should not be predicted based on global perspectives and political situations.
The start of the major bear market in the coin market is when USDT starts to show a gap downtrend.
Until then, I dare say that the coin market is likely to maintain its current uptrend.
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(BTCUSDT 1D chart)
The StochRSI indicator is approaching its highest point (100), and the uptrend is reaching its peak.
Accordingly, the pressure to decline will increase over time.
-
(1W chart)
The StochRSI indicator is also in the overbought zone on the 1W chart.
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(1M chart)
On the 1M chart, the StochRSI indicator is showing signs of entering the overbought zone, but it is not expected to enter the oversold zone due to the current rise.
The movement of the 1M chart should be checked again when a new candle is created.
-
You can see that the StochRSI indicator on the 1M chart is the most unusual among the three charts above.
In the finger area on the 1M chart, the StochRSI indicator was in the overbought zone, but it is currently showing signs of entering the oversold zone.
Therefore, you can see that the current movement is different from the past movement.
Therefore, I think it is not right to predict the current flow by substituting past dates.
------------------------------------------
I wrote down my thoughts on the recent comments from famous people who say that the coin market will enter a major bear market along with the stock market.
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Have a good time. Thank you.
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- Big picture
It is expected that the real uptrend will start after rising above 29K.
The section expected to be touched in the next bull market is 81K-95K.
#BTCUSD 12M
1st: 44234.54
2nd: 61383.23
3rd: 89126.41
101875.70-106275.10 (overshooting)
4th: 134018.28
151166.97-157451.83 (overshooting)
5th: 178910.15
These are points where resistance is likely to be encountered in the future. We need to see if we can break through these points.
We need to see the movement when we touch this section because I think we can create a new trend in the overshooting section.
#BTCUSD 1M
If the major uptrend continues until 2025, it is expected to start by creating a pull back pattern after rising to around 57014.33.
1st: 43833.05
2nd: 32992.55
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Dark Pool Buy Zones Explained with Pro Trader Nudge SignalsThis lesson is about how to identify when a hidden quiet accumulation of a stock is underway and how to prepare for the momentum runs that follow. NYSE:DIS is our example for today.
Dark Pool activity is explained in detail. Alternative Transaction System (ATS) Venues are called Dark Pools of Liquidity.
A Buy Zone is an extended period of hidden accumulation of often millions of shares of stock over several weeks to months.
Professional traders use these buy zones to enter on the penny spread and instigate a trigger of HFT gaps to the advantage of the pro trader. Learn how you can profit from this activity for swing trading or position trading.
How to convert TradingView Alerts to trades on exchange accountsCreating automated trading solutions can often feel like a daunting task. Traders must not only craft complex algorithms but also ensure smooth execution across various exchanges. The process involves handling trade execution, order management, and performance analysis—each exchange presenting its own integration challenges. What may start as a simple strategy can quickly evolve into a time-consuming, resource-heavy project.
But what if you could automate your trades directly from your TradingView alerts with just a few clicks?
By leveraging alert-based automation, you can easily transform your TradingView alerts into real trades on your preferred exchange.
In this article, we’ll walk through how to set up automated trades based on TradingView alerts. We’ll show you how, in just 5 minutes, you can create alerts, link them to an alert bot, and watch as your orders are seamlessly opened and closed on an exchange.
Let’s get started with a step-by-step guide for TradingView indicators!
Step 1. Click Alert Messages in your create Skyrexio Alert bot, copy webhook URL, messages to open and close trade
Step 2. Go to TradingView charts, select trading pair, choose indicator and apply it to the chart
Step 3. Set the chart timeframe and indicator configuration to meet your expectations
Step 4. Click Alert, select the indicator as the condition, paste the bot message and webhook URL, click Create
Note: if you chose Alert close orders when configuring the bot, set another alert with close message to exit trades
With just a few simple steps, you can now turn your TradingView indicators into fully automated trades on popular exchanges like Binance, Bybit, OKX, Crypto.com, Gate.io, and KuCoin. This powerful integration streamlines your trading process, enabling you to act on signals without constant monitoring or manual execution. The ability to seamlessly execute trades ensures that you never miss a profitable opportunity, regardless of market conditions.
But that’s just the beginning!
In the next section, we’ll show you how to convert TradingView strategies into automated trades using alerts. With strategies, you can further refine your approach and unlock even more potential for automation. If you're interested in learning how to take your automation to the next level, stay tuned!
Ready to dive deeper into strategy automation? Let us know in the comments if you want to see more on this topic!
The 3 Session of Rise Reversal Setup, with todays Silver R4 Going through my thinking process of the whole session, pair selection and the 3 trades i took. Gold breakout continuation long, NAS FOH Continuation short (stopped out) and then an end Session 3 sessions of rise reversal short with Silver. Additionally i am explaining the 3 sessions of rise setup in detail
Mastering Moving AveragesMastering Moving Averages: A Statistical Approach to Enhancing Your Trading Strategy
Moving averages (MAs) are one of the most popular tools used by traders and investors to smooth out price data and identify trends in the financial markets. While they may seem simple on the surface, moving averages are rooted in statistical analysis and offer powerful insights into price behavior over time. In this article, we will break down the concept of moving averages from a statistical viewpoint, explore different types of MAs and their benefits, and discuss how they can be effectively used in trading and market analysis.
⯁What is a Moving Average from a Statistical Standpoint?
A moving average is a statistical calculation that smooths out data points by creating a series of averages over a specific period. In trading, it is applied to price data, where it helps remove short-term fluctuations and highlight longer-term trends.
The core idea behind a moving average is to capture the central tendency of a price over time, providing a clearer picture of the market’s overall direction. By averaging the price over a period, it helps traders see the general trend without being distracted by the noise of daily market volatility.
Mathematically, a simple moving average (SMA) can be expressed as:
SMA = (P1 + P2 + ... + Pn) / n
Where:
P1, P2, ..., Pn represent the price points for each period.
n represents the number of periods over which the average is taken.
The moving average "moves" because as new prices are added to the calculation, older prices drop off, creating a rolling average that continually updates.
Types of Moving Averages and How They Are Calculated
Different types of moving averages use varying methods to calculate the average, each offering a unique perspective on price trends.
Simple Moving Average (SMA) : The SMA is the most basic type of moving average and is calculated by taking the arithmetic mean of the prices over a specified period. Every data point within the period carries equal weight.
SMA = (P1 + P2 + ... + Pn) / n
For example, a 5-day SMA of a stock’s closing prices would be the sum of the last five closing prices divided by 5.
Exponential Moving Average (EMA) : The EMA gives more weight to recent price data, making it more responsive to price changes. The EMA calculation involves a smoothing factor (also called the multiplier) that increases the weight of the most recent prices. The formula for the multiplier is:
//Where n is the number of periods. The EMA calculation follows:
Multiplier = 2 / (n + 1)
EMA = (Closing price - Previous EMA) × Multiplier + Previous EMA
For example, for a 10-period EMA, the multiplier would be 2 / (10 + 1) = 0.1818. This value is then applied to smooth the recent prices more aggressively.
Weighted Moving Average (WMA) : The WMA assigns different weights to each data point in the series, with more recent data given greater weight. The formula for WMA is:
WMA = (P1 × 1 + P2 × 2 + ... + Pn × n) / (1 + 2 + ... + n)
Where n is the number of periods. Each price is multiplied by its period's number (most recent data gets the highest weight), and then the total is divided by the sum of the weights.
For example, a 3-period WMA would assign a weight of 3 to the most recent price, 2 to the price before that, and 1 to the earliest price in the period.
Smoothed Moving Average (SMMA) : The SMMA is similar to the EMA but smooths the price data more gradually, making it less sensitive to short-term fluctuations. The SMMA is calculated using this formula:
SMMA = (Previous SMMA × (n - 1) + Current Price) / n
Where n is the number of periods. The first period's SMMA is an SMA, and subsequent SMMAs apply the formula to smooth the prices more gradually than the EMA.
⯁Comparing Benefits of Different MAs
SMA : Best for identifying long-term trends due to its stability but can be slow to react.
EMA : More sensitive to recent price action, making it valuable for shorter-term traders looking for quicker signals.
WMA : Offers a middle ground between the EMA’s sensitivity and the SMA’s stability, good for balanced strategies.
SMMA : Ideal for longer-term traders who prefer a smoother, less reactive average to reduce noise in the trend.
⯁How to Use Moving Averages in Trading
Moving averages can be used in several ways to enhance trading strategies and provide valuable insights into market trends. Here are some of the most common ways they are utilized:
1. Identifying Trend Direction
One of the primary uses of moving averages is to identify the direction of the trend. If the price is consistently above a moving average, the market is generally considered to be in an uptrend. Conversely, if the price is below the moving average, it signals a downtrend. By applying different moving averages (e.g., 50-day and 200-day), traders can distinguish between short-term and long-term trends.
2. Crossovers
Moving average crossovers are a popular method for generating trading signals. A "bullish crossover" occurs when a shorter-term moving average (e.g., 50-day) crosses above a longer-term moving average (e.g., 200-day), signaling that the trend is turning upward. A "bearish crossover" happens when the shorter-term average crosses below the longer-term average, indicating a downtrend.
3. Dynamic Support and Resistance Levels
Moving averages can also act as dynamic support or resistance levels. In an uptrend, the price may pull back to a moving average and then bounce off it, continuing the upward trend. In this case, the moving average acts as support. Similarly, in a downtrend, a moving average can act as resistance.
4. Filtering Market Noise
Moving averages are also used to filter out short-term price fluctuations or "noise" in the market. By averaging out price movements over a set period, they help traders focus on the more important trend and avoid reacting to insignificant price changes.
5. Combining with Other Indicators
Moving averages are often combined with other indicators, such as the Relative Strength Index (RSI) or MACD, to provide additional confirmation for trades. For example, close above of two moving averages, combined with an RSI above 50, can be a stronger signal to buy than either indicator used on its own.
⯁Using Moving Averages for Market Analysis
Moving averages are not just for individual trades; they can also provide valuable insight into broader market trends. Traders and investors use moving averages to gauge the overall market sentiment. For example, if a major index like the S&P 500 is trading above its 200-day moving average, it is often considered a sign of a strong market.
On the contrary, if the index breaks below its 200-day moving average, it can signal potential weakness ahead. This is why long-term investors pay close attention to moving averages as part of their overall market analysis.
⯁Conclusion
Moving averages are simple yet powerful tools that can provide invaluable insights for traders and investors alike. Whether you are identifying trends, using crossovers for trade signals, or analyzing market sentiment, mastering the different types of moving averages and understanding how they work can significantly enhance your trading strategy.
By integrating moving averages into your analysis, you’ll gain a clearer understanding of the market’s direction and have the tools necessary to make more informed trading decisions.
Trading GBPUSD | Judas Swing Strategy 15/10/2024Last week proved challenging for the Judas Swing strategy, with three consecutive losses and no wins, which heightened our anticipation for this week. Will we be able to break this losing streak? We'll soon find out. We typically arrive at our trading desks five minutes before the session starts to delineate our zones and settle into the trading rhythm.
After delineating our zones, the next step is to wait for a sweep of a high or low of the trading zone, which will assist us in establishing our bias for the trading session. Forty-five minutes later, price swept the liquidity at the high, indicating that we should look for selling opportunities during this trading session.
A few minutes after the high was swept, we observed a Break of Structure (BOS) on the sell side, which was encouraging as we avoid entering trades without analysis, even with a sell bias established for the session. Upon identifying the BOS, the next step is to find a Fair Value Gap (FVG) within the price leg that broke structure.
The final step in the entry checklist is to wait for price to pull back into the Fair Value Gap (FVG) and to execute the trade only after the candle that enters the FVG has closed. Shortly after, a candle entered the FVG, indicating that we could execute our trade following the close of the candle.
It's crucial to understand that by risking only 1% of our trading account for a potential 2% return, we minimize emotional attachment to the trades since we're only risking what we can afford to lose, and we stand to gain more than we risk. After executing the trade, we experienced a significant drawdown, which is a critical point for those who risk more than they can afford to lose.
After a patient wait, the trade has turned around and begun to move in our favor, which is thrilling. However, we must still keep our composure as the objective has not yet been achieved
According to our data, we can anticipate being in a position for an average of 11 hours, so the duration of this trade meeting our objective is not a concern; we simply need to remain patient for it to occur. After 15 hours and 20 minutes, our patience was rewarded when our take profit (TP) target was reached, resulting in a 2% gain on a trade where we risked 1%.
Breakout Retest, A+ setup explained with todays R5 Silver longFull recap of my todays NY session showing my preparation, my shortlist, my thinking process into my entry window and a detailed breakdown of the trade, including a detailed explanation of the setup, what to look for and how to trade it. One more trade for your playbook!
Using Big Data Analytics in Forex TradingUsing Big Data Analytics in Forex Trading
Recent years have seen explosive growth in the amount of data in circulation, and the financial industry is no exception. The use of big data analytics in forex trading has become increasingly popular as traders and institutions look to gain a competitive edge through the analysis of vast data sets.
The forex market is the largest financial market in the world, with a daily turnover of trillions of US dollars. The market is constantly changing. One might argue that such a tendency to change makes it difficult for traders to make decisions. Therefore, the use of big data in forex analytics acts as an essential advanced tool and serves as a means to overcome decision-making challenges.
This FXOpen article explores why big data in trading has the potential to revolutionise the way traders approach the market and looks into how it can provide them with valuable insights.
Big Data in Forex Trading
Big data refers to the large quantity of diverse information that is generated every day from a variety of sources. Such volumes of information cannot be processed and analysed by users or simple office software. Therefore, there’s a whole set of sophisticated technologies designed for working with it.
The set typically includes tools for data collection, storage, preprocessing, cleaning, and analysis. To collect and store large amounts of information, traders use cloud computing and distributed databases. Before analysing it, traders preprocess and clean it to remove any noise or inconsistencies using techniques such as normalisation and outlier detection.
In the context of forex trading, big data includes market figures, economic indicators, social media sentiment, news articles, and more. The role of big data in forex is enormous. With the help of analytics, traders can select relevant, promising assets and make informed trading decisions, thereby gaining a competitive advantage.
Sources of Big Data in the Forex Market
Predictive analytics and big data provide actionable insights about the FX market and the general mood of market participants. Here are some of the sources incorporated into big data models used for forex trading purposes:
- Market figures — real-time and historical price, order flow, and trade execution data.
- Economic indicators — figures of inflation, GDP, employment, various indices, earnings reports, industrial production figures, and other economic indicators.
- Social media sentiment — comments from social media platforms such as Twitter, LinkedIn, and Facebook, which provide insights into public sentiment towards certain countries and their currencies.
- News articles — articles from financial news sources such as Bloomberg and Reuters, which inform traders about market trends, governmental policies, and major events.
How Big Data Analytics Affect Forex
Big data analytics significantly impact forex trading, offering both advantages and challenges. Let’s first explore how big data analytics can help in forex trading.
Pros:
- Improved forecasting and predictive modelling
- Real-time market monitoring and analysis
- Enhanced risk management and decision support
Analysing big data helps traders uncover future market movements and identify patterns that may not be visible through traditional analysis methods. It can provide traders with real-time insights into current trends and high-impact economic events, which allows them to react quickly to changes. Analytics can also simplify risk identification and management.
These benefits make big data analytics a key tool for renowned and successful financial institutions. For example, JPMorgan Chase uses it to analyse millions of transactions daily, detect suspicious patterns, and prevent fraudulent activities and money laundering. Meanwhile, the investment bank Goldman Sachs uses it to identify trends in various markets, improve the company’s trading strategies, and enhance risk management.
Despite the inspiring cases and the benefits of using it, big data analytics is not a cure-all and has some downsides.
Cons:
- Requires significant resources
- Possible security issues
- Possible overfitting
Since big data analysis requires significant computing power and storage, as well as high bandwidth, using this approach is not cheap, and it can be problematic for retail traders and trading start-ups. Besides, big data analytics involves collecting sensitive financial information, which is often targeted by cyberattacks. Unintentional breaches are also possible, so companies employ additional security algorithms. This can increase costs as well.
Another issue comes when the data analysis model fits too closely to its training basis. Overfitting makes it unable to perform accurately against unseen information. It is related to the issue of capturing patterns without being overly influenced by irrelevant information. If traders rely on algorithms to analyse data, this drawback could hinder their performance.
Risk Management in Big Data-Driven Trading
Based on the limitations and possible problems with large-scale analyses, the question of risk management in the use of big data arises. Here are some considerations on what a trader could do to minimise risks.
1. Traders use risk controls and backtesting to check whether trading strategies are effective and not overly risky.
2. To ensure that the figures are accurate, consistent, up-to-date, and reliable, traders may implement quality control measures such as data validation and verification.
3. Leveraging different sources of big data allows traders to drive their risk management strategies with more confidence as they get a holistic picture of the currency market.
Big Data Analytics Strategies in Forex
The most popular big data forex trading strategy involves using traditional technical and fundamental analysis, which is enhanced by additional insights and information obtained through big data analytics.
Then comes trading based on sentiment analysis and social media monitoring. As mentioned, social media is necessary to understand how the trading community feels about the currency and whether they think it is a good decision to trade it.
Lastly, big data analytics improves algorithmic trading, which involves using computer programs to execute trades automatically based on predefined rules. Big data analysis may be helpful in determining these rules.
Final Thoughts
The use of big data in forex trading and analysing vast amounts of information helps traders gain valuable insights into market trends and make more informed decisions. However, there are also challenges and limitations associated with big data analytics, including overfitting and cybersecurity threats.
If you want to trade in the forex market with attractive conditions, you can open an FXOpen account. To create and test trading strategies, you can use the TickTrader trading platform. Alongside trading tools and various assets, there are advanced charts with accurate price history.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
The Basics of Support and Resistance LevelsSupport and resistance levels are fundamental concepts in technical analysis, widely used by traders across asset classes, strategies, and trading techniques. In this post, we’ll cover the basics of support and resistance so that any trader following us here on TradingView can have a foundation to work with.
What is Support?
Support is a price level where a falling asset tends to stop and reverse direction. In the chart above, utilizing FOREXCOM:EURUSD, you’ll see some lines drawn, showcasing this example. Support is a concept that is drawn on the chart to help predict or forecast where other buys may step in based on the preceding rate fluctuations.
When an asset’s price drops to this level, buyers can often step in, preventing further decline and typically causing the rate to rise again. The support level acts as a floor that the asset’s price struggles to break below, usually testing it multiple times. Support levels can be identified on charts across various timeframes and are not exclusive to bear markets; they also appear in bull markets as higher support levels are established.
What is Resistance?
Resistance, on the other hand, is a price level where an asset’s upward movement is continuously halted by selling pressure. When the rate reaches this level, sellers usually dominate, often causing the price to fall back. This level acts as a ceiling that the asset’s price struggles to break above, bouncing off it as a result. Like support, resistance levels can be found in both bear and bull markets and are crucial for identifying potential price reversals.
Why are Support and Resistance Levels Important?
Traders use support and resistance levels (along with other technical and fundamental data) to help them make informed decisions about when to enter or exit trades. For instance, buying near a support level can be profitable if the market bounces back, while selling near a resistance level can capitalize on the move before a downward reversal.
In summary, support is a method for locating potential bottom areas and resistance is a method to locate potential topping areas.
The best way to get started with Support & Resistance is to draw out the levels yourself and use a demo account to test out the concepts. This way, you can practice, review, and learn about these levels without risking real funds.
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Master Breakout Trading: The Strategy Every Trader Needs to KnowIn the world of trading, a "breakout" refers to a price movement that occurs when an asset moves beyond a predefined support or resistance level. These pivotal moments often signal a significant shift in market dynamics and can lead to substantial price changes. Breakouts are crucial for traders as they can mark the beginning of a new trend. A breakout above a resistance level may suggest the start of an uptrend, while a breakout below support could indicate a downtrend. Learning to identify and trade breakouts effectively can unlock profitable opportunities and help traders capitalize on shifting market conditions.
What Are Breakouts in Trading?
Breakouts occur when the price of an asset surpasses a well-established support or resistance level, suggesting a potential shift in market direction. A bullish breakout happens when the price breaks above resistance, signaling upward momentum. Conversely, a bearish breakout occurs when the price drops below support, often indicating the continuation of a downtrend.
Breakouts are significant because they often lead to increased trading activity and volatility, offering traders opportunities to enter or exit positions at pivotal moments. These breakouts are often accompanied by increased trading volume, which helps confirm the validity of the price move and suggests that a new trend is forming.
How Breakouts Occur and Their Importance
Breakouts occur when price action surpasses critical price levels—either support or resistance—that have acted as barriers in the past. These levels are often identified through technical analysis and represent key turning points where buyers or sellers have historically entered the market in large numbers.
--Support Levels: A price point where an asset tends to stop falling and may reverse upward. A bearish breakout occurs when the price drops below this level, signaling a continuation of the downtrend.
--Resistance Levels: A price point where an asset typically stops rising and may reverse downward. A bullish breakout occurs when the price surpasses this level, suggesting the potential for further upward movement.
Breakouts are important because they can indicate the start of a new market trend. When price breaks through a support or resistance level, it signals that the market sentiment has shifted, and traders can take advantage of this movement to capture profits. For successful breakout trading, it's essential to confirm these breakouts using volume and other technical indicators to avoid being caught in a false breakout, where price briefly breaks a level but reverses direction shortly after.
Examples of Breakout Scenarios
Breakouts can present profitable trading opportunities in both bullish and bearish markets. Here are two examples:
--Bullish Breakout Example
Take a look at the following EUR/USD chart, where the price breaks above the 1.0200 level after previously rebounding off resistance. Traders would interpret this as a bullish breakout and may look to enter long positions, expecting the pair to sustain its upward momentum. This breakout provides a buying opportunity as market sentiment turns positive and shifts to the upside.
--Bearish Breakout Example
Take a look at the following EUR/USD chart, where the price breaks below the 1.03500 level after previously rebounding off support. Traders would view this as a bearish breakout and may consider entering short positions, anticipating the pair to maintain its downward momentum. This breakout offers a selling opportunity as market sentiment shifts to the downside.
In both examples, breakouts offer traders clear entry points based on the movement beyond established levels, allowing them to profit from the new trend.
👆 Read Also this deep article where we cover everything you need to know about Support-and-Resistance in trading.
The Concept of Breakout Trading
Breakout trading is based on the premise that once price moves beyond significant support or resistance levels, it is likely to continue in that direction for some time. This approach involves recognizing these levels, waiting for the breakout to occur, and entering a trade in the direction of the breakout.
Key elements of breakout trading include:
--Identifying Key Levels: Use technical analysis to locate critical support and resistance levels where price has previously struggled to break through.
--Confirming the Breakout: Ensure the breakout is accompanied by strong volume to confirm its validity.
--Risk Management: Employ Stop Loss orders to protect against false breakouts, where the price briefly breaks the level but then reverses.
--Maximizing Profits: Traders aim to capture as much of the price movement as possible, staying in the trade as long as the breakout trend remains intact.
To identify potential breakouts, traders often use indicators like trendlines, moving averages, and volume analysis. Chart patterns, such as triangles or flags, can also signal a potential breakout. When combined with volume analysis, these tools help confirm that a breakout is likely to lead to a sustained price movement.
Popular Breakout Trading Strategies:
--Trendline Breakout Strategy
One of the most popular strategies involves using trendlines. A trendline is drawn by connecting two or more price points, creating a visual representation of market direction. When the price breaks through the trendline, it signals a potential reversal or continuation of the trend.
Step 1: Draw trendlines by connecting significant highs and lows.
Step 2: Monitor price as it approaches the trendline.
Step 3: Enter a trade when the price closes beyond the trendline, with confirmation from increased volume.
Step 4: Place a Stop Loss order just below/above the breakout level to manage risk.
Support and Resistance Breakout Strategy:
This strategy involves identifying key support and resistance levels on a chart. Once these levels are breached, traders enter the market based on the direction of the breakout.
Step 1: Identify key support and resistance levels from historical price data.
Step 2: Wait for the price to approach these levels.
Step 3: Enter a position after the price breaks through, with confirmation from volume.
Step 4: Use Stop Loss orders to protect against false breakouts.
Volume-Based Breakout Strategy:
Volume is a critical component of successful breakout trading. A significant increase in volume during a breakout indicates strong market interest, making it more likely that the breakout will continue.
Step 1: Monitor volume as the price approaches key levels.
Step 2: Confirm the breakout with a volume spike.
How to Implement a Breakout Trading Strategy
To implement a breakout trading strategy effectively:
--Set Up Your Platform: Ensure your trading platform is equipped with real-time charts like Tradingview, technical indicators, and alerts to identify breakouts as they happen. Customizing your charts with trendlines, support/resistance levels, and volume indicators will help in visualizing breakout points.
--Use Risk Management: Proper risk management is key to avoiding large losses. Place Stop Loss orders just below (for bullish breakouts) or above (for bearish breakouts) the breakout level to limit potential losses from false breakouts.
👆 Read Also this article where we cover everything you need to know about Risk Management in trading, from essential strategies to practical tips for safeguarding your capital.
Common Mistakes in Breakout Trading
Breakout traders often fall into a few common traps:
--Overtrading: Jumping into too many trades or reacting to every price movement can lead to losses. It's crucial to wait for confirmed breakouts before entering trades.
Falling for False Breakouts: A false breakout occurs when price temporarily moves beyond a key level but then reverses. Confirming the breakout with volume or other indicators can help avoid this mistake.
-Ignoring Risk Management: Failing to set proper Stop Losses can lead to significant losses if the market moves against you. Always manage risk by placing Stop Loss orders at appropriate levels.
Tips for Successful Breakout Trading
--Combine Indicators: Use multiple technical indicators, such as moving averages, volume analysis, and trendlines, to confirm breakouts. This increases the reliability of breakout signals.
--Maintain Discipline: Stick to your trading plan and avoid making emotional decisions. Impatience can lead to entering or exiting trades prematurely, undermining your strategy.
--Refine Your Strategy: Continuously review and refine your trading strategies based on market conditions. Markets evolve, and regular analysis helps ensure your breakout strategies remain effective.
👆 Lastly, read this article where we cover everything you need to know about the Trader's Checklist for Successful Trading, providing key steps and insights to help you stay on track and maximize your trading success.
In Conclusion..
Breakout trading offers a powerful way to capitalize on significant price movements in the market. By mastering strategies like trendline, support/resistance, and volume-based breakouts, traders can position themselves to profit from new trends. Effective risk management and discipline are crucial for long-term success. With continuous learning and strategy refinement, breakout trading can become a highly rewarding approach to navigating financial markets.
Chart with trend(MACD), momentum(DMI), and market strength(OBV)
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If you "Follow", you can always get new information quickly.
Please click "Boost" as well.
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BW+ indicator is an indicator that comprehensively evaluates MACD, DMI, and OBV indicators.
Therefore, knowledge of MACD, DMI, and OBV indicators is required.
I added the existing HA-Low and HA-High indicators to express the section to start trading more clearly.
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The indicators have changed and been supplemented a lot over the past 6 years of using TradingView.
It was not easy to express my trading method as an indicator.
Because of this, I think there are people who unintentionally interpret my writing differently from what I think.
So, to narrow this gap, I am explaining the indicators used in my article.
Since these indicators are automatically generated by a formula, no one can change them.
Therefore, I think anyone can look at the chart and interpret it from the same perspective.
However, there may be differences in interpretation depending on one's investment style or average purchase price.
However, since everyone talks about the same point, there will be no confusion.
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When talking to each other in the community, if you talk with the chart tool you drew, you may talk differently and there may be room for misunderstanding.
So, I think the conversation often goes in a strange direction because the conversation ends up talking about whether it is LONG or SHORT right now.
I think that charts drawn with chart tools are not very meaningful because they only show a part of the person's thoughts through chart analysis.
This is because they do not tell you the selection point using the chart tool, so interpretation or understanding is lacking.
Therefore, you cannot apply such content to your own chart.
So, since it can't be used as a trading strategy, I can't help but just say, "Oh, that could be possible."
However, if there is a chart that everyone can see and no one can change, I think it would be easier to talk and reflect each other's thoughts on my trading strategy.
I think that because of that, I can find out what I lacked and supplement it.
Not everyone sees the same thing and thinks the same, but if the basic point of the thought is the same, I think it can help me make other people's thoughts my own.
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Anyway, I hope that this chart change will help you create a clearer analysis or trading strategy.
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The MACD indicator added to the chart is an indicator with a modified formula from the existing MACD indicator, but the interpretation method is the same.
That is,
- If MACD > Signal, it is interpreted as an upward trend,
- If MACD < Signal, it is interpreted as a downward trend.
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The DMI indicator added to the chart simplifies the interpretation of the existing D+, D- indicators by expressing them as lines on the ADX line.
That is,
- The section expressed in Aqua color means a downward section,
- The section expressed in Orange means an upward section.
- When ADX is above 25, it means that the strength of the upward or downward movement is strong,
- When it is below 25, it means that there is a high possibility of forming a box section or sideways section.
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The OBV indicator added to the chart means an upward trend when each line is broken upward, and a downward trend when it is broken downward.
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The indicator that expresses the contents explained above is the BW v1.0 indicator.
In order to see this more intuitively, the BW (100), BW (0), and Mid (50) indicators were added so that they can be expressed in the price candle section.
In addition, there are also High (80 Down), Low (20 Up) indicators.
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It is never easy to interpret each indicator and evaluate it comprehensively.
It is especially difficult when trading in real time.
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When interpreting the BW v1.0 indicator, it is basically divided into rising and falling based on the 50 point.
Therefore, passing the 50 point increases the possibility of a significant change in the trend.
Therefore, it seems that trading can be done based on whether there is support near the Mid (50) line generated when the BW indicator passes the 50 point, but this is not the case.
The reason is that volatility is likely to occur when a change in trend occurs.
When volatility occurs, your trading point will go up and down, so psychological pressure will increase and you may proceed with an inappropriate trade.
Therefore, a good point to start trading is the BW (0), BW (100) or HA-Low, HA-High point.
Since these indicators are generated at the boundary of the low or high point range, if you start trading based on whether there is support, you are more likely to get good results.
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In any case, you should think in line with your average purchase price.
Otherwise, if you trade incorrectly due to psychological pressure when you get close to the average purchase price, you may end up with little profit or even a loss.
This means that when you start a new trade, it is better to start near the BW (0), BW (100), HA-Low, and HA-High indicators as mentioned above.
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Have a good time.
Thank you.
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XAUUSD GOLD: Understanding Trend Shifts for Precision Entries👀👉 In this video, we explore the inner workings of market trends and, more importantly, how smart money manipulates price action to sweep liquidity, allowing them to place their orders and sustain the trend. We also showcase a powerful, free indicator from TradingView’s extensive toolset. Here's what we cover:
📊 Understanding Trends: How trends truly operate in the market.
💰 Smart Money Tactics: How institutional traders manipulate price action to sweep liquidity and execute large orders.
🔑 Key Levels: Identifying crucial accumulation and distribution zones to approach potential trade setups effectively.
🛠 TradingView Indicators: Learn how to access tools that help spot when price is overextended.
🔎 Market Structure: Discover how to locate resting liquidity and anticipate price reactions, understanding the role of liquidity in market movement.
📈 Trade Setups: Using a practical approach, we examine price interactions with liquidity, blending Wyckoff theory and ICT concepts for sharper trade decisions.
Disclaimer: This video is for educational purposes only and is not financial advice. Trading involves significant risks. Be sure to conduct your own research before making any decisions. Trade responsibly.






















