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Dynamic Volume Profile Profiting (中文)

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** Dynamic Volume Profile Profiting** ** 動態成交量分布 盈利 ** Dynamic volume profile involves creating multiple volume profiles not based on time, but rather according to market participants. This is one of the most straightforward and effective methods for applying volume profile,  put out higher success rate. 動態成交量分布涉及創建多個成交量分布圖，不是基於時間，而是根據市場參與者。這是應用Volume Profile的最直接、最有效的方法之一，輸出較高的成功率。 In golfing, a successful golfer swings consistently and knows exact which club to apply. Does this sound familiar in trading? Yes, but if every single hole is 100 yards, would an average person be better at scoring? Yes, you would only need 2 clubs. 在高爾夫運動中，成功的高爾夫球手會始終如一地揮桿並確切地知道該使用哪支球桿。這在交易中聽起來很熟悉嗎？是的，但如果每個洞都是 100 碼，普通人的得分會更好嗎？是的，您只需要 2 個球桿. **Historical Background:** ** 历史背景 In the early 1980s, Peter Steidlmayer introduced Market Profile for CBOE. Rather than focusing on visual elements like blocks or alphabets, Steidlmayer identified two primary groups of market participants : 20  世纪  80  年代初， Peter Stei
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Trading with indicators

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  Indicator helps in trading by providing traders with a strategic EDGE .   Here are a few ways it assists: 1. Informed Decision-Making : By focusing on setups and trades that have a higher probability of success, traders can make more informed and confident decisions, reducing uncertainty and hesitation.   -location, liquidity level, order blocks, clusters, …VM-QTECH 2. Risk Management : High-probability biases often come from patterns, indicators, or setups that have been tested and proven over time. This can lead to better risk management, as traders can allocate capital more effectively and set stop-losses more accurately. -stop levels, potential level of structure changes. MTF-QTECH 3. Consistency : Trading with a high-probability indicator allows for a more consistent approach, which is crucial for long-term success. This consistency can help traders avoid impulsive decisions based on emotions. -human make mistakes repeatedly (except those 1% Pros) 4. Efficiency : Focusing on hi
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Trade with electronic OUTCRY

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This is reason, the beginning of my desire to trade. In the old days on the trading floor, traders utilized the outcry system to gain an advantage in trading. I was on the floor of both the NYSE and Chicago exchanges on different occasions, observing how such outcry happened. Later, after hours, I tried a mock trade on the floor; obviously, I failed (lesson learned: I was not a disciplined trader). Years later, when I joined Apex, they introduced the “tick strike,” which mimics the floor outcry mechanism. TradingView then opened up windows of easy coding. As a result, I have been evolving this Pine Script of “outcry” on TradingView . This is not an indicator but one of many tools to gain an advantage in trading nowadays. There are two moving parts of this Pine Script code: A. At the top right, the time, sale, and bid/ask traded (I copied someone’s nice UI code). B. At the bottom is the key of this tool, which displays the OUTCRY BUY/SELL if it does happen (often the exchange floor is
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Multi-Timeframe Trading

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  Multi-Timeframe Trading: Mapping Participants Multi-timeframe trading is a sophisticated approach that integrates various timeframes into a trader's analysis to better understand and anticipate market movements. By examining different timeframes, traders can gain a comprehensive view of market dynamics, which is crucial for making informed trading decisions. This article delves into the importance of multi-timeframe trading, its role in the market, the key participant groups, and how to visually map these participants on a chart . A. The Importance of Multi-Timeframe Trading Multi-timeframe analysis is essential in trading as it considers the actions and influences of participants operating on different time horizons. Peter Steidlmayer, a prominent figure in market theory, identified two primary groups of market participants: short timeframe (STF) traders and long timeframe (LTF) traders. STF traders, typically day traders or scalpers, operate on shorter timeframes, focusing on i
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HeatMap

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 Heat Maps to Enhance Trading Strategies Knowing the components of the NASDAQ 100 when trading NQ futures provides traders with valuable insights into risk management, sector analysis, volatility considerations, liquidity assessment, and event risk management. By staying informed about the underlying stocks that drive index movements, traders can make more informed decisions and navigate the futures market with greater confidence In the realm of financial trading, visual tools that convey complex data succinctly and effectively can significantly enhance decision-making. Heat maps have long been a staple for traders, offering a snapshot of the market's current state. However, incorporating historical heat maps alongside current ones can provide traders with deeper insights and a strategic edge. This article explores the benefits of historical heat maps in trading, the differences between current and historical heat maps, and how integrating both can improve trading outcomes. Underst
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The Value Weight Supply Demand Zones

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 Unleashing the Power of the Value Weight Supply Demand Indicator In the ever-evolving world of financial markets, traders are constantly seeking reliable tools to gain an edge. Among the plethora of indicators available, one stands out for its effectiveness in identifying key levels and market dynamics:  the Value Weight Supply Demand Indicator  on TradingView. This indicator is hailed for its ability to gauge the balance between supply and demand levels in the market. Unlike traditional indicators that rely solely on price movements, the demand/supply indicator takes into account the underlying structures of value. By analyzing four crucial dimensions - high, low, close, and volume - this indicator provides traders with a comprehensive understanding of market dynamics. So, what makes  the Value Weight Supply Demand Indicator  on TradingView so reliable? Let's delve into its key features: 1. **Multi-Dimensional Analysis**: By considering high , low , close , and volume data, the
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