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FVG Zones – shrink on fill (bull/bear)Detects classic 3-candle FVGs (ICT definition). Draws zones as boxes that extend to the right. On each bar close: Checks overlap with the current candle. Shrinks the zone when price wicks into it (bullish: top moves down; bearish: bottom moves up). Deletes the zone once it’s completely filled/closed. Inputs: bullish/bearish zone color, border color, and max number of visible FVGs. Possible extensions: Multi-timeframe FVGs (e.g. H1 FVGs shown on M5). Separate limits for bullish and bearish zones. Alerts for new FVG, partial fill, or closed FVG. Option “Body only” (ignore wicks when detecting overlap). Minimum FVG size filter (ticks/ATR).
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ONI-trades tarafından
Varma Fractal TEMA IndicatorThe Indicator uses Fractals and Three EMAs. A fractal is a repeating price pattern, typically consisting of five candlesticks, used to identify potential trend reversals or continuations. A bullish fractal suggests a possible upward price movement, while a bearish fractal indicates a potential downward trend. These patterns, popularized by Bill Williams, can be found across different timeframes and are considered a key part of his technical analysis system. Every Fractal line acts as an immediate support or resistance. The use of three EMAs in trading is well known. One can make own strategies with them.
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varmasudhakar tarafından
Trapped Traders [ScorsoneEnterprises]This indicator identifies and visualizes trapped traders - market participants caught on the wrong side of price movements with significant volume imbalances. By analyzing volume delta at specific price levels, it reveals where traders are likely experiencing unrealized losses and may be forced to exit their positions. The point of this tool is to identify where the liquidity in a trend may be. var lowerTimeframe = switch useCustomTimeframeInput => lowerTimeframeInput timeframe.isseconds => "1S" timeframe.isintraday => "1" timeframe.isdaily => "5" => "60" = ta.requestVolumeDelta(lowerTimeframe) price_quantity = map.new() is_red_candle = close < open is_green_candle = close > open for i=0 to lkb-1 by 1 current_vol = price_quantity.get(close) new_vol = na(current_vol) ? lastVolume : current_vol + lastVolume price_quantity.put(close, new_vol) if is_green_candle and new_vol < 0 price_quantity.put(close, new_vol) else if is_red_candle and new_vol > 0 price_quantity.put(close, new_vol) We see in this snippet, the lastVolume variable is the most recent volume delta we can receive from the lower timeframe, we keep updating the price level we're keeping track of with that lastVolume from the lower timeframe. This is the bulk of the concept as this level and size gives us the idea of how many traders were on the wrong side of the trend, and acting as liquidity for the profitable entries. The more, the stronger. There are 3 ways to visualize this. A basic label, that will display the size and if positive or negative next to the bar, a gradient line that goes 10 bars to the future to be used as a support or resistance line that includes the quantity, and a bubble chart with the quantity. The larger the quantity, the bigger the bubble. We see in this example on NYMEX:CL1! that there are lines plotted throughout this price action that price interacts with in meaningful way. There are consistently many levels for us. Here on CME_MINI:ES1! we see the labels on the chart, and the size set to large. It is the same concept just another way to view it. This chart of CME_MINI:RTY1! shows the bubble chart visualization. It is a way to view it that is pretty non invasive on the chart. Every timeframe is supported including daily, weekly, and monthly. The included settings are the display style, like mentioned above. If the user would like to see the volume numbers on the chart. The text size along with the transparency percentage. Following that is the settings for which lower timeframe to calculate the volume delta on. Finally, if you would like to see your inputs in the status line. No indicator is 100% accurate, use "Trapped Traders" along with your own discretion.
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ScorsoneEnterprises tarafından
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Liquidity-Weighted Business Cycle (Satoshi Global Base)🌍 BTC-Affinity Global Liquidity Business Cycle (MACD Model) This indicator models Bitcoin’s macroeconomic business cycle using a BTC-weighted global liquidity index as its foundation. It adapts a MACD-based framework to visualize expansions and contractions in fiat liquidity across major economies with high Bitcoin affinity. 🔍 What It Does: 🧠 Constructs a Global M2 Liquidity Index from the top 10 most BTC-relevant fiat currencies (USD, EUR, JPY, GBP, INR, CNY, KRW, BRL, CAD, AUD) — each weighted by its Bitcoin adoption score and FX-converted into USD. 📊 Applies a MACD (Moving Average Convergence Divergence) signal to the index to detect macro liquidity trends. 🟢 Plots a histogram of business cycle momentum (red = expansion, green = contraction). 🔴 Marks potential cycle peaks, useful for macro trading alignment. ⚖️ BTC Affinity-Weighted Countries: 🇺🇸 United States 🇪🇺 Eurozone 🇯🇵 Japan 🇬🇧 United Kingdom 🇮🇳 India 🇨🇳 China 🇰🇷 South Korea 🇧🇷 Brazil 🇨🇦 Canada 🇦🇺 Australia Weights are user-adjustable to reflect evolving capital controls, regulation, and real-world BTC adoption trends. ✅ Use Cases: Confirm macro risk-on vs risk-off regimes for BTC and crypto. Identify ideal entry and exit zones in macro pair trades (e.g., MSTR vs MSTY). Monitor how global monetary expansion feeds into BTC valuations.
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TheGoldphoenix tarafından
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US Liquidity-Weighted Business Cycle📈 BTC Liquidity-Weighted Business Cycle This indicator models the Bitcoin macro cycle by comparing its logarithmic price against a log-transformed liquidity proxy (e.g., US M2 Money Supply). It helps visualize cyclical tops and bottoms by measuring the relative expansion of Bitcoin price versus fiat liquidity. 🧠 How It Works: Transforms both BTC and M2 using natural logarithms. Computes a liquidity ratio: log(BTC) – log(M2) (i.e., log(BTC/M2)). Runs MACD on this ratio to extract business cycle momentum. Plots: 🔴 Histogram bars showing cyclical growth or contraction. 🟢 Top line to track the relative price-to-liquidity trend. 🔴 Cycle peak markers to flag historical market tops. ⚙️ Inputs: Adjustable MACD lengths Toggle for liquidity trend line overlay 🔍 Use Cases: Identifying macro cycle tops and bottoms Timing long-term Bitcoin accumulation or de-risking Confirming global liquidity's influence on BTC price movement Note: This version currently uses US M2 (FRED:M2SL) as the liquidity base. You can easily expand it with other global M2 sources or adjust the weights.
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TheGoldphoenix tarafından
Indexed Gann Fan“This indicator automatically builds an unique trend-based Gann fan by selecting swing high/swing low ubased on price fluctuation index over time for each segment of the chart. It helps traders identify the true market trend and pinpoint key support and resistance levels at precise angles. Designed for traders familiar with Gann’s methodology who want a clearer understanding of market structure and greater confidence in their trading decisions.” __________________________________________________________________________________ Индикатор автоматически по выбору экстремума строит уникальный трендовый веер Ганна, используя индекс колебаний цены во времени для каждого участка графика. Помогает видеть направление тренда и определять ключевые углы поддержки и сопротивления. Инструмент создан для трейдеров знакомых с методологией Ганна, которые хотят получать более ясное понимание рыночной структуры и принимать решения с максимальной уверенностью.
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Pivot-Point- tarafından