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Orderflow

BITCOIN – THE REAL REASON BEHIND THE FALLWhen I started trading someone told me something I’ll never forget: “If you can predict tomorrow’s newspaper headline, you understand the market.” He didn’t mean I should chase news. He meant I should read structure so well that I know what kind of headline the market is already writing, before the mass even see it. And now, looking around online, I see the complete opposite. Everywhere you look, there’s another “confluencer” talking about crypto with big words and zero understanding. People selling dreams, memberships, and indicators, while they don’t even know what open interest or CVD means. I’m not here to sell anything. I’m here to help people actually learn how to read data and see through the noise. Because what most of these so-called experts call “analysis” is just emotional guessing wrapped in confidence. What I called and what happened Last week I posted my “Big Dump” thesis. I said Bitcoin would swing fail above the highs, then drop into the 104K region. That is exactly what happened. Price ran the sweep into 126K, trapped the late buyers, and dumped straight into 104K. People blamed tariffs. The tariff headline was the spark. The fuel was crypto’s own positioning. Why the structure was ready to snap Before the crash, the data told the story clearly. Stablecoin OI went from 257K to 285K contracts (+10.9%). That is new leveraged exposure. Coin-margined OI dropped during the breakout, then rose again near the highs. Shorts were fading strength. Spot CVD stayed flat to slightly negative. Real buyers were missing. The long/short ratio fell from 2.05 to 1.02 even while price kept climbing. That’s what distribution looks like. Buyers on leverage pushing price up while stronger hands sell into them. No real spot demand, just futures exposure. You don’t need a macro event to fall. You only need a reason for those leveraged buyers to stop bidding. Think of it like a crowded elevator. Everyone keeps piling in as it moves up, feeling safe because it hasn’t stopped yet. But the moment one person hesitates, the weight shifts. When the next person panics, the whole thing drops. That’s what happens when a market is driven by leverage instead of conviction. You don’t need bad news, you just need hesitation. Look back at similar events. In May 2021, funding rates were insane, perps overloaded, and spot volume thin. Elon Musk tweeted about Bitcoin’s energy use. That tweet didn’t cause the dump. It just made leveraged longs pause. The bids disappeared and the cascade started. In August 2023, Evergrande headlines hit. Bitcoin was sitting at resistance with flat spot CVD and rising OI. Equities wobbled, crypto longs hesitated, and the structure collapsed within hours. In March 2020, when COVID panic hit, Bitcoin had already been stretched thin. Funding was high, leverage was heavy, and liquidity was weak. The virus didn’t break the market, leverage did. Leverage creates confidence until it doesn’t. Price doesn’t fall because people start selling. It falls because nobody steps in to buy. Headlines decide when the drop starts. Structure decides how far it goes. Why 104K was my first target I didn’t pick 104K out of thin air. That level was built on confluence. 1) AVWAP from the April 7 auction That swing low kicked off with massive volume. When a move starts with that kind of participation, the anchored VWAP becomes a key reference for institutional flow. It represents the average cost of that whole auction, and when extended forward, it acts as a dynamic area where liquidity and algorithms interact. That blue AVWAP line from April has been running right through the 104K region. It’s not that price revisited that auction, it’s that the anchored VWAP from that event still marks the fair value area for that entire move.When price traded back down into that region, it met that same volume-weighted anchor, creating a major confluence zone that algos and larger players watch closely. 2) The June 22 breakout left an LVN A new auction started on June 22 and pushed higher, leaving a Low Volume Node behind. An LVN is a thin zone on the volume profile where the market moved quickly with little trade. Markets often revisit these thin areas later to find balance or test unfinished business. 3) HTF Fibonacci cluster Multiple higher timeframe Fibonacci retracements and extensions overlapped near the same 104K area. When several fib levels align with structure, that’s a strong confluence zone watched by both human traders and algorithms. The 104K region was where the AVWAP line, LVN, and fib cluster all met. That’s not a random target. It’s a structurally defined area where liquidity concentrates and where markets tend to react sharply. And that’s exactly what happened. The spark versus the structure The tariff headline didn’t cause the drop. It triggered it. The structure was already unstable. Leverage was maxed. Spot demand was flat. Funding was positive and rising. When the tariff news hit, traditional markets pulled back and crypto followed instantly. It wasn’t correlation, it was liquidity contagion. Traders managing multiple books de-risk across assets when volatility spikes. That creates a gap in liquidity. When the bids vanish, the market falls into the first real pool of resting orders — in this case, the 104K zone. You saw the same mechanics during the March 2020 crash and the 2021 deleverage. External shocks trigger internal liquidation cascades. That’s why saying “this had nothing to do with crypto is completely wrong. This had everything to do with crypto. It’s like blaming the thunder for breaking a window when the glass was already cracked. Or saying the iceberg sank the Titanic when the captain was already steering through a sea of warnings. Crypto was structurally weak. Leverage was stretched, spot demand was gone, and funding was positive. When the headline hit, it didn’t cause the collapse. It just gave the market permission to do what it was already set up to do — unwind. Crypto is built on leverage. Perpetual futures dominate volume. Stablecoin collateral drives exposure. When external risk events change funding conditions or risk appetite, the crypto market reacts instantly because its structure is fragile by design. Example: When yields spike, the dollar strengthens and funding costs rise. Leveraged longs become more expensive to hold, so traders unwind positions. When equities dump, cross-asset desks reduce risk globally, which pulls liquidity out of crypto perps too. Intermarket correlation always matters. Macro sets the mood. But the speed and violence of crypto moves always come from leverage inside the system. How you can spot it next time Compare Spot CVD vs Stablecoin CVD. If stablecoin CVD rises while spot stays flat or negative, the rally is leverage-driven. Track Open Interest vs Price. Both rising together usually means exposure is building. Confirm with spot flow. Watch the Long/Short ratio. If it drops while price rises, shorts are entering and the move may be getting absorbed. Anchor VWAPs to real pivots like swing lows, breakouts, or liquidation spikes. Those levels attract institutional flow. Study Volume Profiles. LVNs are thin and often retested. HVNs are balance zones that attract price. Map HTF fib clusters for confluence. Reactions are stronger when multiple timeframes agree. Note single prints and thin brackets on TPO or volume profiles. These often act as magnets. When these factors line up, you don’t need to predict headlines. You’ll already most likely know which headline will break the market. TLDR The rally was leverage-driven: Stablecoin OI up 10.9%, Spot CVD flat, Long/Short ratio down from 2.05 to 1.02 The swing fail at 126K was the final liquidity grab 104K was the target due to AVWAP + LVN + HTF fib cluster The tariff headline was the spark, not the cause The crash was caused by leverage and missing spot demand Crypto didn’t fall because of politics. It fell because the market was already begging for an excuse to reset. The data showed it clearly weeks before the drop. If this helped you see the market a little clearer or made you think differently about how price really moves, please leave a like and drop a reaction. It keeps me motivated to keep posting real analysis, not the copy-paste bullshit hype that floods your feed every day. Check the Order Flow Data from 6 October here: ibb.co
Education
by ThetaNomad
49
A simple Introduction to Footprint charts Welcome to this educational video on footprint charts . I decided to do this introduction because I feel it would benefit so many traders who are unfamiliar with this chart type and once understood it can serve as a very powerful additional confluence in your day to day trading . I hope I have delivered this lesson in a simple and understandable format for you too understand the following . The problem with just watching the price What is order flow Delta explained What is open interest How to tie it all together to produce better entries , exists and oversight into knowing when to take your trades. I welcome any feedback or questions and I really hope that this serves you well. *The link to the Tradingview guide is in the designated box on the right hand side I encourage everybody to use this resource .
CME:MBT1!Education
by SJTRADESFUTURES
Testing a POI (Point of Interest) & Inducement FrameworkThis script is a visual aid for my personal testing of a systematic trading plan. It is designed to help me manually identify and mark key structural components on the chart. The core concepts I am testing are Trading Ranges, Inducement Levels, and Points of Interest (POI), specifically Order Flows and Order Blocks. (On this chart, an Order Flow) This is a work in progress and represents my personal learning process. It is not intended as financial advice or a complete trading system. Key Features I am Testing: Trading Range Identification: The script helps mark the high and low of a defined trading range, which I identify based on a confirmed break of structure or change of character. In this case what is depicted is a change of character from Bearish to Bullish Sentiment on the EURUSD One-Hour Frame. Inducement Visualization: It allows for the marking of key inducement levels. In my testing, an inducement is the pullback high (in a bearish move) or low (in a bullish move) immediately preceding the most recent significant low or high. A range is considered valid once its corresponding inducement is traded through. Order Flow/Block Marking: The tool assists in highlighting potential OFs or OBs. These ranges or candles, located near range extremes, are the Points of Interest I test for potential entries. My Testing Notes & Disclaimer: This visual tool is part of my journaling process to build discipline and consistency. I use it to document my hypothesis for each trade setup. The market does not always respect these levels, and a key part of my testing is learning to distinguish between valid and invalid POIs. My risk management rules are separate and non-negotiable. I always define my stop loss and position size before entering any test trade. I am sharing this as a documentation of my own testing framework, not as a recommendation.
Education
by TheInvestor_Diary
Order Flow & Fair Value Gap Approach 3 Setups in the last 48hourThis strategy leverages order flow analysis and the concept of fair value gaps, operating on the principle that the market behaves as an auction—constantly seeking areas of balance and imbalance. Over the past 48 hours, BTCUSD has presented three high-probability scalping setups aligned with this methodology. Market Context Trend: Bullish The market has shown clear bullish momentum over the last 48 hours. Breakout Event: Price broke out of a consolidation zone with strong, aggressive buying activity, indicating a shift in market sentiment and the initiation of a new leg in the trend. Imbalance Creation: During this breakout, two fair value gaps (FVGs)—also referred to as low value nodes (LVNs)—were formed as a result of inefficient price movement. Trade Setup Criteria & Checklist To validate each setup, we apply the following checklist: Criteria Status 1. Trend is bullish ✅ Confirmed 2. Breakout from a consolidation zone with aggressive buy orders ✅ Confirmed 3. Fair value gap created by impulsive buying ✅ Confirmed 4. Retracement into the fair value gap ✅ Confirmed 5. Confirmation of strong buyers defending the FVG zone ✅ Confirmed 6. Defined risk with favorable R:R (1:2 or better) ✅ Confirmed Risk Management Each trade setup followed a 1:2 risk-to-reward ratio, maintaining consistency with our strategy's risk parameters. This sequence illustrates how combining order flow with structural imbalances like fair value gaps can produce high-quality scalping opportunities. Always remember: context, confirmation, and confluence are key.
COINBASE:BTCUSDEducation
by ripxela
What Is Stock Tape Reading, and How Do Traders Use It?What Is Stock Tape Reading, and How Do Traders Use It? Tape reading is a real-time market analysis method used to track buying and selling pressure. Unlike technical indicators, which rely on historical data, tape reading focuses on executed trades, order flow, and liquidity shifts. Traders use it to assess momentum, identify institutional activity, and refine trade timing. This article explores how tape reading works, its role in modern markets, and how traders apply it to short-term decision-making. The Origins and Evolution of Tape Reading Tape reading began in the late 19th century when stock prices were transmitted via ticker tape machines, printing a continuous stream of price updates on paper strips. Traders would gather around these machines, scanning for large trades and unusual activity to anticipate market moves. One of the earliest and most well-known tape readers, Jesse Livermore, built his fortune by studying these price changes and spotting institutional buying and selling patterns. By the mid-20th century, as markets became faster and more complex, ticker tape machines were replaced by electronic order books. Instead of scanning printed numbers, traders began using Level 2 market data and time & sales windows to track order flow in real time. This transition allowed for more precise liquidity analysis, making it easier to see how large orders impacted price movement. The rise of algorithmic and high-frequency trading (HFT) in the 2000s further changed the landscape. Today, market depth tools, order flow software, and footprint charts have replaced traditional tape reading, but the core principle remains the same: analysing how buyers and sellers interact in real time. While charts and indicators offer historical insight, tape reading provides a direct window into current market behaviour, giving traders an edge in fast-moving conditions. How to Read the Tape Nowadays, tape reading is all about real-time market data—watching when and how orders are placed and filled to gauge momentum and liquidity. Unlike technical indicators, reflecting past price action, tape reading focuses on what’s happening right now. Stock, forex, and commodity traders use it to assess buying and selling pressure, spot large orders, and understand market sentiment as it unfolds. Here is the key information provided by tape reading: Time & Sales The time & sales window (the tape) displays every completed trade. Each entry shows time, price, trade size, and whether it hit the bid or ask. - Trades at the ask suggest aggressive buying, as buyers are willing to pay the market price. - Trades at the bid indicate selling pressure, as sellers accept lower prices. - Large block trades often signal institutional activity—tracking these can reveal where big players are positioning. Bid-Ask Activity Nowadays, an order book is a part of tape reading. The order book (Level 2 or DOM) shows the number of buy and sell orders at different price levels. While not all orders get filled, traders watch for: - Stacked bids (a high concentration of buy orders) near a price level, which may indicate strong buying interest. - Stacked offers (large sell orders) acting as resistance. - Orders rapidly appearing or disappearing, suggesting hidden liquidity or fake orders meant to mislead traders. Volume and Trade Size Changes in trade size and volume help traders judge the conviction behind a move: - Consistent large trades in one direction can suggest institutions accumulating or distributing a position. - A surge in small trades may indicate retail participation rather than institutional moves. - A sudden drop in trade activity after a sharp move may hint at exhaustion or a potential reversal. Trade Speed The pace of executions matters. - Fast, continuous transactions suggest urgency—buyers or sellers are aggressively taking liquidity. - A slowdown in transactions near a key level can indicate hesitation or a shift in sentiment. Tape Reading vs Technical & Fundamental Analysis Tape reading differs from technical and fundamental analysis in both approach and timeframe. While technical traders study historical price patterns and fundamental analysts focus on company performance and economic data, tape readers focus on real-time order flow to assess market direction as it develops. Technical Analysis Technical traders rely on chart patterns, moving averages, and oscillators to identify trends and potential turning points. These tools are built on past price data, meaning they lag behind actual market activity. For example, a trader using a moving average crossover strategy waits for confirmation before acting, whereas a tape reader sees momentum shifting as it happens by watching the flow of orders. Fundamental Analysis Fundamental analysis is longer-term, based on financial statements, earnings reports, and macroeconomic indicators. Investors using this approach focus on factors like revenue growth, interest rates, and industry trends to decide whether a stock is undervalued or overvalued. Tape reading, by contrast, ignores these metrics entirely—it’s used by short-term traders reacting to immediate buying and selling pressure. Where Tape Reading Fits In Many traders combine approaches. A day trader might use technical analysis to find key price levels and then apply tape reading to fine-tune entries and exits. Similarly, a swing trader tracking earnings reports may use tape reading to see how large players are reacting. Each method provides different insights, but tape reading offers a unique advantage: it reveals market sentiment in real time, helping traders assess momentum before price movements become obvious. Advantages and Disadvantages of Tape Reading Tape reading gives traders an inside look at real-time market activity, but it also comes with challenges, especially in modern electronic markets. Advantages - Immediate Market Insight: Unlike lagging indicators, tape reading reflects live buying and selling pressure, helping traders react before price changes become obvious. - Identifying Large Buyers & Sellers: Institutions often execute orders in patterns, leaving clues in the stock market tape. Recognising these can help traders gauge potential price direction. - Fine-Tuning Entries & Exits: By tracking order flow near key price levels, traders can time their trades more precisely rather than relying on static chart signals. - Useful in Fast-Moving Markets: Tape reading can be particularly valuable in scalping and day trading, where short-term momentum plays a key role. Disadvantages - Algorithmic Trading Distortion: High-frequency trading firms place and cancel orders rapidly, making it harder to interpret true supply and demand. - Steep Learning Curve: Unlike technical analysis, which provides visual patterns, tape reading requires experience in spotting meaningful order flow changes. - Mentally Demanding: Constantly watching the tape can be exhausting, requiring a high level of focus and quick decision-making. - Less Effective in Low-Volume Markets: When liquidity is thin, tape reading becomes unreliable, as fewer trades mean less actionable data. Modern Footprint Charts and Order Flow Software While some stock tape readers rely on raw order flow data, many use footprint charts and order flow software to visualise buying and selling pressure more effectively. Footprint charts display executed trades within each price bar, showing volume distribution, bid-ask imbalances, and point of control (POC)—the price level with the highest traded volume. This helps traders see where liquidity is concentrated and whether buyers or sellers are in control. Order flow software offers heatmaps, cumulative delta, and volume profile tools. Heatmaps highlight resting liquidity in the order book, revealing where large players may be positioned. Cumulative delta tracks the difference between market buys and sells, helping traders assess momentum shifts. These tools provide a more structured approach to tape reading, filtering out noise and making it easier to spot large orders, absorption, and potential reversals. While experience is still essential, modern software gives traders a clearer view of market behaviour beyond just raw time & sales data. The Bottom Line Reading the tape remains a valuable tool for traders looking to analyse real-time order flow and market liquidity. While there are numerous algorithms that place trades, understanding executed trades and bid-ask dynamics can provide an edge in fast-moving conditions. FAQ Is Tape Reading Still Useful in Trading? Yes, but the application of tape reading in trading has changed. While traditional tape reading focuses on printed ticker tape, modern traders use time & sales data, Level 2 order books, and footprint charts to analyse order flow. High-frequency trading and algorithmic activity have made tape reading more complex, but it remains valuable for scalpers, day traders, and those tracking institutional activity. What Are the Principles of Tape Reading? Tape trading is based on real-time order flow analysis. Traders focus on executed trades (time & sales), bid-ask activity (order book), volume shifts, and trade speed to gauge buying and selling pressure. The goal is to understand how liquidity moves in the market and spot signs of institutional accumulation or distribution. What Is the Difference Between Order Book and Tape? The order book (Level 2 or DOM) shows pending orders at different price levels, representing liquidity that may or may not get filled. The tape (time & sales) displays completed transactions, showing actual buying and selling activity in real time. What Is the Difference Between Technical Analysis and Tape Reading? Technical analysis relies on historical price patterns and indicators, while tape reading focuses on real-time executed trades and market depth. Technical traders look at charts, whereas tape readers analyse live order flow to assess momentum and liquidity shifts. How to Read Ticker Tape? Modern ticker tape is displayed in time & sales windows on trading platforms. Traders monitor price, trade size, and whether transactions occur at the bid or ask. Rapid buying at the ask suggests demand, while consistent selling at the bid indicates selling pressure. 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.
NASDAQ:MSFTEducation
by FXOpen
1
Hidden Forces: Decoding Buyer & Seller Activity on ChartsTotal Volume vs. Volume Delta: The total volume on the chart includes both buys and sells, making it less useful for analysis. Volume Delta, however, shows whether buyers or sellers dominated within a candle. A green Delta candle means more aggressive retail buying; a red one means more retail selling. This helps analyze market sentiment beyond price movement.
 Price & Delta Relationships: 1. Price and Delta move together → Organic movement, likely driven by retail. 2. Delta moves, but price doesn’t → Retail is heavily biased in one direction, absorbing limit orders. Possible smart money trap. 3. Price moves, but Delta doesn’t → Retail didn’t participate in the move. Lack of belief or failed market-making attempt. 4. Price moves against Delta → Strong indication of market manipulation. Large players using aggressive strategies against retail.
 Market Manipulation & Smart Money: * Whales leverage retail psychology and order flow to position themselves. * Retail often gets caught in fake moves, unknowingly providing liquidity to big players. Final Thought: By analyzing Delta and price movement together, we can spot hidden large buyers and sellers and understand market dynamics beyond surface-level price action.
Education
by supremum_ar
Is Liquidity Zones The Hidden Battleground of Smart Money In every market move, liquidity zones are the battlefields between buyers and sellers. Understanding these zones is crucial for spotting reversals and breakouts before they happen. What Are Liquidity Zones? High Liquidity Areas, Where large orders are placed, typically around key support/resistance or round numbers. Low Liquidity Areas. Where price moves quickly due to fewer orders, often creating price imbalances. Why Liquidity Matters Smart money (institutions) seeks liquidity to execute large orders without massive slippage. Their footprints appear as wicks, sudden volume spikes, or rapid price reversals. Spotting Liquidity Traps False Breakouts, Price pierces a key level, triggers stop losses, and reverses quickly. Stop Hunts, Sudden price spikes beyond a key level, only to return inside the range. rading Strategy Example 1. Use volume profile or heat maps to spot high-interest price areas. 2. Wait for Reaction, Enter only after confirmation (e.g., a sharp wick or order flow shift). 3.Risk Management, Place stops beyond liquidity zones to avoid getting trapped. Master liquidity zones, and you'll start seeing the market through the eyes of institutional players.
CME_MINI:NQ1!Education
by wolfchemist
What Is ICT Turtle Soup, and How Can You Use It in Trading?What Is ICT Turtle Soup, and How Can You Use It in Trading? The ICT Turtle Soup pattern is a strategic trading approach designed to exploit false breakouts in financial markets. By understanding and leveraging liquidity grabs, traders can identify potential reversals and enter trades with relative precision. This article delves into the components of the ICT Turtle Soup pattern, how to identify and use it, and its potential advantages and limitations, providing traders with valuable insights to potentially enhance their trading strategies. The ICT Turtle Soup Pattern Explained ICT Turtle Soup is a trading pattern developed by the Inner Circle Trader (ICT) that focuses on exploiting false breakouts in the market. This ICT price action strategy aims to identify and take advantage of situations where the price briefly moves beyond a key support or resistance level, only to reverse direction shortly after. This movement is often seen in ranging markets where prices oscillate between established highs and lows. The concept behind ICT Turtle Soup trading is rooted in the idea of liquidity hunts and market imbalances. When the price breaks out, it often triggers stop-loss orders set by other traders, creating a temporary imbalance. The ICT Turtle Soup strategy seeks to capitalise on this by entering trades in the opposite direction once the breakout fails and the price returns to its previous range​. The pattern is named humorously after the original Turtle Traders' strategy, which focuses on genuine breakouts. In contrast, ICT Turtle Soup takes advantage of these failed attempts, thus "making soup out of turtles" by transforming unproductive breakout attempts into potentially effective trades​. Typically, traders look for specific signs of a false breakout, such as a price briefly moving above a recent high or below a recent low but failing to sustain the move. This strategy is particularly effective when used in conjunction with other ICT concepts, such as higher timeframe analysis and understanding of market structure​. Components of the ICT Turtle Soup Pattern To effectively utilise the ICT Turtle Soup setup, it’s essential to understand its core components: order flow and market structure, liquidity, and internal versus external liquidity. Order Flow and Market Structure Order flow and market structure are critical in analysing the ICT Turtle Soup pattern. This involves observing price movements and traders' behaviour in different timeframes. Traders can analyse higher and lower timeframe price movements in FXOpen’s free TickTrader platform. Higher Timeframe Structure This refers to the broader trend governing the lower timeframe trend. For traders using the 15m-1h charts to trade, this might mean structure visible on 4-hour, daily, or weekly charts. Higher timeframe structures help traders identify the major support and resistance levels. These levels are essential as they mark the boundaries within which the market generally oscillates. Traders use these to determine the prevailing market direction and potential areas where false breakouts (stop hunts) are likely to occur​. Lower Timeframe Structure Lower timeframe structures are examined on hourly or minute charts. These provide a more detailed view of price action within the higher timeframe’s range and account for the bullish and bearish legs that dictate a broader higher timeframe trend. Liquidity and Stop Hunts In general trading terms, liquidity represents how easy it is to enter or exit a market. However, in the context of the ICT Turtle Soup pattern, areas of liquidity can be identified beyond key swing points. Stop Hunts Stop hunts, also known as a liquidity sweep, occur when the price temporarily moves above a resistance level or below a support level to trigger stop-loss orders. This movement creates a liquidity spike as traders' stops are hit, providing a favourable condition for the price to reverse direction. ICT Turtle Soup traders seek to exploit these moments by entering trades opposite to the initial breakout direction once the liquidity is absorbed. Internal and External Liquidity Understanding internal and external liquidity is vital for applying the ICT Turtle Soup pattern effectively. Internal Liquidity This refers to the liquidity available within the range of the higher timeframe structure. It involves identifying smaller support and resistance levels within the larger range. For example, in a bullish leg, there will be a series of higher highs and higher lows; beneath these higher lows is where internal liquidity rests. This internal liquidity will be targeted to form a bearish leg as part of a higher timeframe bullish trend. External Liquidity This involves liquidity that exists outside the key highs and lows of the higher timeframe trend. To use the example of the bullish leg in a higher timeframe bullish trend, the low it originated from and the high it creates as the bearish retracement begins count as areas of external liquidity. Order Blocks and Imbalances While not directly involved in the ICT Turtle Soup setup, understanding order blocks and imbalances can provide insight into where the price might head and the general market context. Order blocks are areas where significant buying or selling activity has previously occurred, often due to institutional orders. These blocks represent zones of support and resistance where the price is likely to react. Bullish Order Blocks These are typically found at the base of a significant upward move and indicate zones where buying interest is strong. When the price revisits these areas, it often finds support, making them potential entry points for long trades​. Bearish Order Blocks Conversely, these are located at the top of significant downward moves and signal strong selling interest. These zones often act as resistance when revisited, making them strategic points for short trades​. Imbalances Imbalances, or fair value gaps (FVGs), are price regions where the market has moved too quickly, creating a significant disparity between the number of long and short trades. These gaps often occur due to high volatility and indicate areas where the market might revisit to "fill" the gap, thereby achieving fair value. In other words, when a price rapidly moves in one direction, it leaves behind an area with little to no trading activity. The market often returns to these imbalanced zones to facilitate proper price discovery and liquidity. How to Use the ICT Turtle Soup Strategy Here's a detailed breakdown of how traders use the ICT Turtle Soup pattern. Establishing a Bias Traders begin by analysing the higher timeframe trend, such as the daily or weekly charts, to establish a market bias. This analysis helps determine whether the market is predominantly bullish or bearish. Identifying this trend is crucial as it guides where to look for potential Turtle Soup setups. For instance, the example above shows AUDUSD initially moving down after a bullish movement off-screen. It eventually breaks above the lower high, indicating that the higher timeframe trend may now be bullish. Similarly, the shorter-term downtrend beginning from mid-May also saw a new high, meaning a trader may want to look for long positions. Identifying Internal Liquidity Once the higher timeframe trend is established, traders look for a move counter to that higher timeframe trend. In the example shown, this would be a downtrend counter to the bullish structure break. They mark levels of internal liquidity; in a bullish leg, these would be below swing lows and vice versa. These areas are likely to attract stop-loss orders. Looking for Liquidity Taps The next step involves waiting for these internal liquidity areas to be tapped. This typically happens when the price briefly breaks through a support or resistance level, triggering stop-loss orders before quickly reversing direction. Ideally, the price should tap into the same area or order block where the internal liquidity formed and then exhibit a quick reversal, often leaving just a small wick. This movement indicates a liquidity grab, where large players have taken out stops to facilitate their own orders. Lower Timeframe Confirmation After identifying a liquidity grab beyond this internal liquidity level, traders look for an entry. On a lower timeframe, they look for a similar pattern: internal liquidity being run and a subsequent break of structure in the direction of the higher timeframe trend. This involves price retracing back inside the range to fill an imbalance and meet an order block, which provides a precise entry point. Executing the Trade Once these conditions are met, traders typically enter the market. Specifically, they’ll often leave a limit order at an order block to trade in the direction of the higher timeframe trend. They place a stop loss just beyond the liquidity grab, either above the recent high for a short trade or below the recent low for a long trade. Profit targets are often set at key liquidity levels, such as previous highs or lows, where the market is likely to encounter significant activity​. Potential Advantages and Limitations The ICT Turtle Soup pattern is a trading strategy with several potential benefits and drawbacks. Advantages - Precision: Allows for precise entry points by identifying false breakouts and liquidity grabs​. - Adaptability: Effective across different timeframes and market conditions, including ranging and trending markets. - Risk Management: Built-in risk management by placing stop losses just beyond the liquidity grab points. Limitations - Complexity: Requires a deep understanding of market structure, liquidity, and order flow, making it challenging for less experienced traders​. - Market Conditions: Less effective in highly volatile or illiquid markets where false signals are more common. - Time-Consuming: Demands continuous monitoring of multiple timeframes to identify valid setups, which can be time-intensive. The Bottom Line The ICT Turtle Soup pattern offers traders a powerful tool to identify and exploit false breakouts in the market. By understanding its components and applying the strategy effectively, traders can potentially enhance their trading performance. To put this strategy into practice, consider opening an FXOpen account, a reliable broker that provides the necessary tools and resources for trading. FAQs What Is ICT Turtle Soup in Trading? ICT Turtle Soup is a trading pattern that exploits false breakouts. It identifies potential reversals when the price briefly moves beyond a key support or resistance level, triggering stop-loss orders before reversing direction. This strategy aims to take advantage of these liquidity grabs by entering trades opposite to the initial breakout direction​. How to Identify ICT Turtle Soup Conditions? To identify the ICT Turtle Soup pattern, traders analyse higher timeframe trends to establish market bias. They then look for counter-trend moves and mark internal liquidity areas. The pattern is identified when the price taps these liquidity zones and reverses quickly, often leaving a small wick. This signals a liquidity grab and potential trade setup in the direction of the higher timeframe trend​. How to Use the ICT Turtle Soup Pattern? Using the ICT Turtle Soup pattern involves several steps. First, traders establish a market bias based on higher timeframe analysis. Then, they look for liquidity grabs at marked internal liquidity areas, indicating false breakouts. The next step is to confirm the setup on a lower timeframe by observing a similar liquidity grab and structure break. Lastly, they enter trades in the direction of the higher timeframe trend, placing stop losses just beyond the liquidity grab and targeting key liquidity levels for profit-taking​. 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.
Education
by FXOpen
1
How Can You Trade Using Order Flow? 3 Trading StrategiesHow Can You Trade Using Order Flow? 3 Trading Strategies Understanding the intricacies of order flow trading unlocks the door to deeper market insights, revealing not just the movements of prices but the forces driving them. In this FXOpen article, we’ll explore how order flow works, its components, and how it can be used within three comprehensive trading strategies. Understanding Order Flow Trading Understanding order flow in trading involves examining where buy and sell orders might rest in the market. Essentially, it's about understanding the action behind price movements rather than just the movements themselves. At its core, order flow reveals where traders are placing their orders and at what price, offering a glimpse into the potential future direction of the market based on the current levels of buy and sell orders. When traders talk about order flow, they're looking at the accumulation of these orders at various price levels, which can indicate areas of strong buying or selling pressure. For instance, a significant number of buy orders at a certain price level might suggest a strong demand at that level, potentially leading to a price increase if sell orders cannot match this buying pressure. Conversely, an abundance of sell orders could indicate a supply level that, if not met with equal buying interest, might drive prices down. Components of Order Flow Chart Trading In the realm of trading, dissecting the order flow is akin to peering into the heart of the market, revealing the intentions of traders through the movement of buy and sell orders. Here's a closer examination of the core order flow indicators. Understanding these components allows traders to interpret order flow directly from the chart, providing insights into where the market might head next based on past and present trader actions. Order Blocks (Supply and Demand Zones) In analysing order flow on a chart, order blocks, or supply and demand zones, appear as areas where price action has shown significant movement away from a particular level, indicating a concentration of buy (demand) or sell (supply) orders. These zones are typically highlighted by a sudden surge or drop in price, leaving behind a footprint where future price often reacts. For example, a demand zone might be identified by a rapid price increase from a specific area, suggesting buyers overpowered sellers significantly. Most importantly, when the price returns to one of these areas, it’ll typically reverse. Market Structure/Trends The market structure, or trend, is visible through the series of highs and lows on a chart. An uptrend is recognised by ascending peaks and troughs, while a downtrend is marked by descending peaks and troughs. These structures show order flow traders the prevailing direction of market sentiment. Imbalances Imbalances manifest as large, directional candles that break away from a consolidation area, signifying a sudden imbalance between buyers and sellers, usually with little to no pullbacks. These are often accompanied by increased volume, which may suggests a strong commitment from traders to move the price in a specific direction. Volume Volume is directly observable on a chart, usually depicted as bars beneath the price action. High volume bars accompanying significant price moves validate the strength of that move, implying a robust interest from the market in that price level. Conversely, low volume may indicate a lack of conviction, suggesting that the price move may not be sustainable. Interested readers can learn more about these components and how they interact with each other in our comprehensive article on order flow analysis. Order Flow Trading Strategy: Three Examples Let’s now take a look at how these components can be used in three order flow trading strategies. Consider applying them to real-time charts in FXOpen’s free TickTrader platform to gain the deepest understanding. Liquidity Sweep at Order Block/Supply or Demand Zone The concept of a liquidity sweep within an order block stands out for its nuanced approach to capitalising on market reversals. This strategy hinges on the premise that price movements in these critical zones often preclude a significant direction change, making them ripe for reversal entries. However, while leaving a simple limit order at these areas may be tempting, unforeseen news or a strong trend can cause the price to trade beyond it. Therefore, the theory states that looking for confirmation is often best. Using the idea of a liquidity sweep or a bull/bear trap, traders can identify higher probability setups in these areas. Entry Traders typically identify an order block, marking zones that prompted a significant imbalance and strong directional price move. Watching for the price to approach these zones is key, with a keen eye on the price action within the zone for signals of a potential reversal. The formation of new highs in a supply zone or lows in a demand zone accompanied by a liquidity sweep (a brief breach of these highs/lows followed by a quick return) may serve as a trigger for entry. The appearance of reversal patterns, like a shooting star, hammer, or engulfing candlestick, may indicate the market's rejection of prices beyond the zone. Stop Loss Placing a stop loss just beyond the boundary of the supply or demand zone potentially safeguards against the risk of a genuine breakout. Take Profit Profit targets may be set at the nearest opposing supply or demand zone, usually where another significant imbalance lies, offering a strategic exit point. Moving Average Crossover at Order Block/Supply or Demand Zone Integrating moving averages into the analysis of order blocks or supply/demand zones offers traders a quantitative lens through which market sentiment can be gauged more precisely. This strategy particularly revolves around the utilisation of two moving averages. We’ve used Exponential Moving Averages (EMAs) with periods of 9 and 20, leveraging their sensitivity to price movements to identify potential reversal points within these critical market zones. However, traders can use whichever type or length they prefer, though a balance should be struck between responsiveness and mitigating false signals. Entry The trader identifies an order block where a substantial move has previously occurred, leaving behind a noticeable imbalance in the price chart. As the price revisits this zone, attention is directed towards the EMAs' behaviour. For instance, a crossover of the 9-period EMA above the 20-period EMA signals bullish momentum, whereas its crossover below the 20-period EMA reflects bearish momentum. Entry may be considered once the moving average crossover aligns with the anticipated direction of the reversal, indicating a strengthening trend. This signal may be further validated if accompanied by a liquidity sweep or specific candlestick patterns within the zone, potentially enhancing the conviction of the trade. Stop Loss A stop loss could be placed beyond the zone’s extremes. Given the added confidence from the moving average crossover, the stop loss could also be positioned just beyond the most extreme high or low when the price entered the zone. Take Profit The take-profit target may be set at an opposing supply or demand zone. Such zones are anticipated to act as natural barriers where the next significant price reaction could occur. Impulse and Correction Stop Order The Impulse and Correction Stop Order strategy leverages the dynamic reaction of prices at supply or demand zones, focusing on the price action that follows these pivotal areas. Recognising that initial reactions from these zones can be sharp, signalling strong market rejection, this approach waits for a pullback or correction as a secondary entry point. This method suits traders looking to capitalise on the momentum shift or those who may have missed the primary reversal opportunity within the zone. Entry Traders monitor for a pronounced impulse move away from a supply or demand zone, indicating strong market rejection of these levels. A subsequent pullback or correction phase is observed, ideally filling the imbalance left by the initial impulse. This correction signals the market's natural attempt to retest the zone before a potential markup or markdown begins. A stop order may be set at the low (for bearish setups) or high (for bullish setups) that initiated the correction. This positioning aims to capture the breakout moment that confirms the market's commitment to the new direction. Stop Loss The stop loss may be placed beyond the correction. This placement is strategic, potentially minimising loss if the anticipated breakout does not materialise and the correction reverses direction. Take Profit The take-profit point may be chosen within a suitable opposing zone, considering the optimal risk/reward ratio or strong support/resistance levels. The Bottom Line In essence, the realm of order flow trading offers a rich tapestry of insights, enabling traders to navigate the market with a more informed perspective. Through the application of these strategies, traders can potentially align themselves with the underlying momentum of the market. For those looking to dive deeper into these strategies and apply them in real-time market conditions, opening an FXOpen account provides access to a platform where such sophisticated analyses can be executed, bridging the gap between theory and practical trading. FAQs What Is Order Flow in Trading? Order flow represents the myriad of buy and sell orders executed in the market. It acts as a snapshot of market sentiment, showing where and how traders are placing their orders, which in turn influences price movements. How to Read Order Flow? Reading order flow involves analysing the data on the volume of trades, the price levels at which they are executed, and the type of orders (buy or sell). Traders often use specialised software that visualises these data points, though they can be identified on charts through the use of order blocks and imbalances. How to Trade Order Flow? Trading order flow typically involves looking for signs of imbalance between buy and sell orders and trading from order blocks. Traders often enter positions based on the anticipation that price will fill these imbalances and reverse from order blocks. Why Is Order Flow Important in Trading? Order flow is important because it provides insights into the immediate direction of the market, revealing the underlying demand and supply dynamics, which can be key for making informed trading decisions. What Is the Difference Between Order Flow and Volume? While closely related, order flow technically refers to the detailed list of transactions (buy and sell), whereas volume measures the quantity of an asset traded over a period. Order flow gives insight into the specifics of market transactions, while volume indicates the level of activity. What Is the Difference Between Order Flow and Price Action Trading? Order flow trading focuses on the underlying transactions that drive market movements, whereas price action trading relies on analysing the price movements themselves. Price action traders study charts for patterns and trends without necessarily considering the specific buy and sell orders that cause those movements. 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.
Education
by FXOpen
2
"The Bodies Tell The Story.. The Wicks Do The Damage" - ICTIn this video I'm going to go through one of ICT's most famous sayings, which is "The bodies tell the story, and the wicks do the damage". If haven't taken the time to understand what he means, then you are seriously putting yourself at a disadvantage if you are using his concepts. This is one of the most crucial and useful pieces of the ICT puzzle. You often hear him say that the wicks are painting outside of the lines, which he sees as permissable when he is trading his PD Arrays. So without further ado, I'll try my best to provide some insight. For illustrative purposes I'll use his Market Maker Sell Model. Just to note that this is not a video teaching about his market maker models, so the focus will not be on that or his other concepts. If you don't understand a certain term or concept, please check out ICT's YouTube Channel or the countless other resources online. This video will be predominantly shedding some light on candle bodies and wicks. I urge you to go into your own charts and do your own study. This will truly be something eye opening if it is the first time you've actually decided to take notice. - R2F
Education
by Road_2_Funded
2
FOREX ORDER EXECUTION AND STOP LOSS Stop losses are a risk management tool that traders use to mitigate potential losses in volatile markets. However, understanding how stop losses work can be complex, especially when considering the different business models of brokers. The broker's business model can significantly impact the execution of a stop loss. Typically, brokers operate under one of two models: the A-Book mode l or the B-Book mode l. This might also be referred to as a non-dealing desk or dealing desk brokers. Under the A-Book model (Non dealing desk), a broker routes orders directly to liquidity providers who source counterparties to take the opposite side of the trade. In contrast, the B-Book (Dealing desk/Market Makers) model involves executing orders in-house, making the broker the counterparty to all trades. While the A-Book model provides a neutral intermediary between traders and liquidity providers, the B-Book model can lead to a conflict of interest, as the broker profits from traders' losses. Furthermore, the A-Book model may not guarantee stop-loss execution since it relies on liquidity providers to fill orders. On the other hand, the B-Book model can lead to faster order execution, but at the expense of the broker's credibility. It's essential to understand the order execution process when placing a stop loss order. For example, when a trader inputs an order to buy or sell, the broker processes the order and returns execution information to the trader's terminal. However, the execution of stop losses is not always guaranteed since orders can experience slippage due to price movements or liquidity issues. It's worth noting that some brokers offer guaranteed stop losses, but at an additional cost. This guarantee ensures that traders are not responsible for any losses beyond their requested exit price. However, traders should weigh the costs and benefits of this option before utilizing it. In conclusion, stop losses are a critical tool for managing trading risk, but they are not foolproof. A trader's ability to exit a position at a specific price is subject to various factors, including the broker's business model and liquidity issues. To make informed decisions when placing stop loss orders, traders should research and understand the broker's order execution process beyond the liquidity provider. In a future post, we will dive deeper into order execution from the A-Book broker broker's perspective and explore how it impacts traders. We will also speak on STP and ECN processing. Stay tuned for more insights and information on trading practices and strategies.
BITSTAMP:ETHUSDEducation
by ChristopherDownie
Higher resolutionHigher resolutions aka lower timeframes have several uses: HIgh res levels 1) For more precise entries past the positioned levels. You have a level on your current resolution, a level you want to use, let's call it "X". You turn in higher resolutions, and scale in around the levels there, past the X; 2) For precise entries during positioning. You have a level that you expect to be positioned 'that way', let's call it "Y". You turn in higher resolutions, and scale in around the levels there, past the Y. An example on the chart is exactly about that. Suppose we expected a 1M level (red line) to be positioned as support. We've opened 1W chart and scaled in at 1W levels below the level; 3) Overridden levels. Forgot to mention, just as overridden waves, overridden levels do exist. It really concerns an imaginary level called value aka fair price. Usually, when you have an overridden wave -> value level in the middle of this wave, the real levels around value exist only deep in higher resolutions, and are already cleared, long time ago. So, they kinda "reactivate" again inside an overridden wave, near the value; 4) For scaling out. When offloading risk, you don't want to do it at the levels that You, yourself, expect to be cleared xD. And that includes the levels from the high ress. HIgh res waves 1) To fine tune the location of back levels. Positioning of a level on a given resolution is a so called pattern seen on higher resolutions. I can't say much about the predictive power of dem patterns, but can say for sure that fine tuning the back levels by finding boundaries of these patterns is a good idea; 2) Simply monitoring the action on higher resolutions gives information about what's happening around your levels of interest. Everything explained in "Current resolution" can be applied there. You may come up with more uses. The main part is to understand what higher resolutions are: less data in greater detail. Now how would you leverage this info?
CME_MINI:ES1!Education
by gorx1
Lower resolutionMore data on lower resolutions, smth that others call higher timeframes. Low res waves While being on a given resolution, the lower resolutions are mostly used to understand the trends within the overall fractal. In general, you want to trade along with the strong low res wave, and don't trade against an exhausted low res wave. While being on given resolution, you're interested in all the lower resolutions, not only in the first adjacent one. So if you operate on 1H charts, you also need to consider 6H, 1D, 1W etc, not only 6H. For example, imagine being in a strong up trend on 1W chart. It won't go 4 ever. There's no exhaustion in 1M wave. But here we go, and exhaustion on 1Q chart. And "suddenly", the levels on 1W chart start to position as resistances! Before that, the overall trend on 1Q surely showed some weaknesses, but there was no evident evidence. This kind of info could've been only gained from more data. Low res levels Now that's really interesting. As I mentioned somewhere before, while being on any resolution, ALL the levels from ALL the lower resolutions should be monitored. That's why people say that it's harder to trade on lower timeframes (higher resolutions), simply because they don't know that simple fact I just mentioned. They see a reversal "in the air", but, as you already know, there's always a level. So, a level from 1Y chart does matter on 1 minute chart. Yes, it does. How? The action around low res levels are somewhat common with the action around option strikes. In a sense, it's a microstructural phenomena as well. Without further analysis, what you know 4 sure is that low res levels might produce reactions, even if a level is from 1Y chart and you are on 1 sec chart. In general, they allow rapid price moves to come through, and produce reactions when prices approach these levels in normal way. Why? As you know, it becomes cheap/expensive PAST the level, never before. Now imagine price comes to a level in a usual manner, or even slower. Chances for a deep dive past the levels are low. What you do? You scale in closer to the level. And now imagine price flying fast. It'll make sense to scale in deeper with a bigger size, to get better prices, to reduce risks. Why not if the market activity allows it? It's a 1H chart on the screen there, and the yellow level is a support from 1W chart. Take a look how the 1H action unfolds around that level.
CME_MINI:ES1!Education
by gorx1
Real wavesFrom all the dudes tryna solve it Wyckoff was the closest. He even figured out how levels get positioned as supports/resistances (he called it accumulations, re-accumulations, distributions and re-distributions). The only thing he was missing are the actual levels hehe (all these 4 volume absorption processes never happen "in the air", ain't no Phil Collins in this particular case, there's always a level). Levels & waves, one doesn't exist without another one . It's all simple: every formation of a new level and every test of existing non-cleared level starts a new wave, either in the opposite or in the same direction. Check the chart, I've marked some waves and made 2 schemes. Every distinct wave has a different color. Why? How? Wave sounds cool, "uninterrupted continuous order flow in the same direction" sounds lame and boring af. Interrupted? Each level interrupts the order flow, even for a lil sec, there's always a volume absorption process happening when levels get formed and when levels get positioned, also when levels get cleared (consumption of liquidity at the level). So, checking the level-to-level buying and selling waves is a perfect way to measure order flow aka incoming volume. Remember about fractal nature of the market => propagation of principles? It works on tick charts => it works on 1 minute charts, and on 1Q charts, and on every other possible resolutions.
CME_MINI:ES1!Education
by gorx1
Everything you need to know about order block 5 RULES | TUTORIALToday we're going to talk about orderblocks. Very simply, an orderblock is the support and resistance of big players. It is stronger and more important than what you draw on a chart expecting a price reaction by classical technical analysis. This works absolutely everywhere in cryptocurrency, forex, and the stock market. I have deduced for myself 5 rules of confirmation, and now we will go over each of them. Let's start with schemes and end with an example on a chart. Orderblock is a candlestick that shows purchases or sales of large capital. When a bullish orderblock is formed, an accumulation or reaccumulation takes place in order to further markup the asset. When a bearish orderblock is formed, a short position is accumulated or reaccumulated. With the purpose of further asset markdown. The first rule is liquidity. We have a zone from which the price gets a reaction and goes in the opposite direction. This forms a support zone for those who trade classic technical analysis. Traders place their orders in this zone, which is what the big capital hunts for. Accordingly, this level is pierced by the flow of orders, which activates these stops. This is how liquidity is removed from the area. The last bearish full-body candle will be our orderblock. It is important that it updates past lows. An analogy would be the wicks of candle, which removes liquidity from past lows. The wick of a candle in this case is an orderblock on a lower TF. The second rule is confirmation After withdrawal of liquidity we expect confirmation of this orderblock - that is absorption and movement in the opposite direction. The confirmation should be impulsive. That is, we should not see how the price is stuck in this confirmation. It concerns the absorption (updating) of the order block. It is possible inside the candle (orderblock). But personally, I try to take the "book variant". Local consolidations can indicate the weakness of the movement. It doesn't mean that the orderblock will not work out in the end, but the probability decreases. The third rule is structure breaking (bos) One of the key points is the breakdown of structure that this orderblock provides. This is how we can understand the mood of the market and the intentions of big capital. In this example, we can highlight the main structure with the yellow line. It is after updating a significant structural element that we can be almost sure of the truth of our orderblock. If we don't see a break in structure, then this movement may just be a correction within a downtrend. So keep an eye on this one. The fourth rule is the law of force (momentum) After confirming our orderblock, we can see a prolonged correction in the OTE (make a Fibo). That is, we should see an impulse and after it a slow sluggish movement downwards, which will also form liquidity behind each local high. This is not a necessary factor, but if it is present, the probability of a trend reversal will increase many times over. The fifth rule - the volume and spread of candles The candlesticks should be full-bodied with increased volumes. It will be important to monitor the "distance" that the price has done. All these factors will also indicate the veracity of the movement. This recommendation concerns more about swing trading, moments when the price is in a trend for a long time without a serious correction and test of the formed order block. Examples on the chart On the daily TF I marked a Sell to Buy move. I marked it this way because there were no warrant blocks to satisfy me on the higher timeframe. This area will act as a zone of interest. The structure on the Hourly TF looks like this. Consequently, we expect a confirmation of our orderblock through a break of the structure. The price entered the sell to buy zone and tested the order block, which was formed from the wick of the candle. We saw an impulse exit and watch the price go up sluggishly, forming liquidity behind each low. Therefore, we expect an orderblock test. I recommend backtesting on chart history to better understand how order block works. Thank you for your attention, I hope it was useful
Education
by Patronofbargain
5
Mini Course : Order Block Course Hi Trader's ,, How Are You Today ? Enjoy In Holiday ,, Buy Don't Forget To Learn Too In Holiday .. Let,s Take A Very Fast And Mini Course For : Order Block ,, First : What IS The Order Block Mean ? Answer : There Are Many concepts For Order Block ,, But the Real And Easily concepts For It Is " Order Block it's The Area There Banks And Big Companies Take There Orders From it " Second : How To Get It On Chart ? Answer : We Have 2 Patterns For It ,, Bullish And Bearish As You Se On Chart ,, In Bullish We Have 2 Way ,, In Down Trend We Get " Low ' High ' Lower High ' Higher High ' Lower High " Then Enter Our Trade Or In Also Down Trend We Get " Low ' High ' Lower Low ' Higher High ' Lower High " Then Enter The Trade .. In Bearish Pattern We Also Have 2 Way To Entry ,, In Up Trend We Get " High ' Low ' Higher Low ' Then Break Out The Low And Test It And Entry " Stop Lose Be Above The Area With 20 - 40 Pips Only IF You Get New Information From me ,, Please Like And Comment
OANDA:XAUUSDEducation
by Fx_Vanguard
2
Why price reacts to s&d zones before breaking themWhy price reacts to s&d zones before breaking them. We tend to see a reaction for one simple reason; - BFI's need liquidity to accumulate a sizable position. So, how would a reaction provide them with this liquidity? - Retail traders will enter aggressively at these s&d zones expecting price to move away from them. Now, BFI's will use all this liquidity to accumulate a sizable position, targeting the next pool of liquidity which is retail's stop-losses on the opposite side of the zone.
Education
by doksfx
Simplifying Order FlowThis chart analysis shows you the power of order flow using two main things: OB - Order Blocks BOS - Break of Structure If you can determine a trend utilising impulse and correction, you can almost always ride the wave by scaling in positions using this method. First, determine your trend and then wait for a break of structure of a low/high. In this example, we are in a bearish market so we are anticipating a break of a low before we can draw up our order block. Once we get a break we can mark the OB that created the break and then wait for demand at a later date for sells. IF the price gets too far away from the OB and looks like it isn't going to return to that point, we can move on to the next BOS and OB. Note: This does not always mean that price won't return but we can still capitalise on the short term moves. I have left an example of what could potentially happen next, although I am doubtful because the trend looks like it is coming to an end. Please take a moment to like and comment on this post!
Education
by AlkalineFX
57