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MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions. The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action. Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions. By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy. SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends. Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions. The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities. Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend. CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction. Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit. By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly. MMBM : MMSM : 🔵 How to Use The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities. The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity. 🟣 Market Maker Buy Model In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts. After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation. 🟣 Market Maker Sell Model In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels. The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation. Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model. The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk. 🔵 Settings Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes. PD Array Period : Specifies the number of candles for identifying key swing points. ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR. Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom"). Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected). Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence. SMT Fractal Periods : Sets the number of candles required to identify SMT fractals. FVG Validity Period : Defines the validity duration for FVG zones. MSS Validity Period : Sets the validity duration for MSS zones. FVG Filter : Activates filtering for FVG zones based on width. FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive." Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to. Demand FVG : Enables the display of demand FVG zones. Supply FVG : Enables the display of supply FVG zones. Zone Colors : Allows customization of colors for demand and supply FVG zones. Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom. Top Line & Label : Enables or disables the SMT divergence line and label from the top. Show All HTF Levels : Displays all premium/discount levels on higher timeframes. High/Low Levels : Activates the display of high/low levels. Color Options : Customizes the colors for high/low lines and labels. Show All MSS Levels : Enables display of all MSS zones. High/Low MSS Levels : Activates the display of high/low MSS levels. Color Options : Customizes the colors for MSS lines and labels. 🔵 Conclusion The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision. The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit. By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
Pine Script™ indikatörü
TFlab tarafından
5
Combined Strategy for POLY/USDT1. Plan A (Trend-following): • Uses 50-period and 200-period SMAs to detect the direction of the trend. • Bullish Trend: If the current price is above the short-term SMA and the short-term SMA is above the long-term SMA. • Bearish Trend: If the current price is below the short-term SMA and the short-term SMA is below the long-term SMA. 2. Plan B (Momentum): • Uses MACD, RSI, and ADX to confirm momentum. • Bullish Momentum: If the MACD histogram is positive, ADX is above 20, and RSI is between 40 and 70. • Bearish Momentum: If the MACD histogram is negative, ADX is above 20, and RSI is between 30 and 60. 3. Combined Signal: • Buy Signal: If both Plan A (Bullish Trend) and Plan B (Bullish Momentum) are true. • Sell Signal: If both Plan A (Bearish Trend) and Plan B (Bearish Momentum) are true. Plotting: • The 50-period SMA and 200-period SMA are plotted on the chart. • Buy and Sell Signals are shown with green (for buy) and red (for sell) labels on the chart. • Background color changes when the market is in a bullish or bearish trend. Alerts: • Alerts are triggered when a buy or sell signal occurs, so you can get notified in real-time.
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inamulhaqawan tarafından
Stop Loss & Take Profit LevelsCalculate and Plot Stop Loss (SL) Levels: The indicator calculates the Stop Loss price level based on the account balance, risk percentage, and the trade's entry price. For long positions, the SL is below the entry price. For short positions, the SL is above the entry price. Calculate and Plot Take Profit (TP) Levels: The indicator calculates up to three Take Profit (TP) levels, each based on different Risk/Reward (R:R) ratios. The R:R ratio determines how much reward (profit) you aim to achieve relative to the risk (the distance between the entry price and the stop loss). These TP levels are plotted on the chart as lines above the entry price for long positions or below the entry price for short positions. Manual Entry Price: The user can input a manual entry price to simulate trades or plan trades before entering the market. This makes it useful for pre-trade analysis. Dynamic Position Type: Users can toggle between Long or Short positions: Long Position: The trader expects the price to go up. Short Position: The trader expects the price to go down. The indicator adapts its calculations (SL and TP levels) based on the selected position type. Risk Calculation Based on Account Balance: The indicator calculates the amount of capital at risk (in €) based on the trader's account balance and the selected risk percentage. For example: If the account balance is €1,000 and the Stop Loss percentage is 1%, the risk amount is €10. Visual Representation on the Chart: The following levels are plotted on the chart: Stop Loss Level (Red Line): The price level at which the trader would exit the trade to limit losses. Take Profit Levels (Green Lines): Up to three price levels where the trader could take profits based on R:R ratios. Entry Price (Blue Line): The price level where the trade begins. These lines are dynamically updated as inputs are changed, providing instant feedback to the trader.
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NatXate tarafından
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators. Filter Types and Parameters High-Pass Filter: A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks. Low-Pass Filter: The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency. High/Low Shelf Filters: Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels. Bell Filters: Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels. All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed. The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut. The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
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The_Peaceful_Lizard tarafından
4
Weekly Trading StrategyStrategy Overview: This trading strategy is designed for short-term trades over weekly intervals, utilizing the combination of Simple Moving Averages (SMA) for trend identification and the Relative Strength Index (RSI) for overbought/oversold conditions. It aims to capitalize on momentum shifts while mitigating the risk of entering a market at extreme points. Key Components: Fast SMA (9 periods): Acts as a short-term trend indicator, providing insights into quick price changes. Slow SMA (21 periods): Represents a longer-term trend, smoothing out price fluctuations to show a more stable trend line. RSI (14 periods): An oscillator that measures the speed and change of price movements, helping to identify potential reversal points. Entry Signals: Buy Signal: Condition 1: The fast SMA (9 periods) crosses above the slow SMA (21 periods), indicating a potential upward trend shift. Condition 2: RSI falls below 30, suggesting the asset is potentially oversold and due for a correction upwards. Sell Signal: Condition 1: The fast SMA crosses below the slow SMA, signaling a possible downward trend shift. Condition 2: RSI climbs above 70, indicating the asset might be overbought and could pull back. Strategy Execution: Timeframe: This strategy is optimized for a weekly chart (W), where each bar or candle represents one week of trading data. Alert System: Alerts can be set up for buy and sell signals, allowing traders to react promptly to market conditions without constant chart monitoring. Risk Management: This strategy includes inherent risk management by avoiding trades when the market shows extreme conditions via RSI. However, traders should also consider: Position sizing based on account size and risk tolerance. Setting stop-loss orders to manage potential losses if the market moves against the position. Considering additional market analysis or indicators for confirmation before executing trades. Considerations: Backtesting: Before live trading, backtest the strategy on historical data to assess performance across different market conditions. Adaptation: Market dynamics change, so periodic review and adjustment of SMA periods and RSI thresholds might be necessary. Complementary Analysis: Enhance this strategy with fundamental analysis or other technical indicators for a more robust trading approach. This strategy is suited for traders looking for weekly swings in the market, balancing between following the trend and spotting potential reversals. However, like all trading strategies, it should not be used in isolation but as part of a broader trading plan.
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futurama-bull tarafından
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum. How It Works: Body Spread vs. Total Range: The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle. The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum. Smoothed Oscillator: To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies. Gradient Visualization: A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior. Visual Features: Oscillator Plot: The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia. Midline (0 Level): A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum. Background Highlights: The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions. Alerts for Key Crossovers: The CSO comes with built-in alert conditions, making it highly actionable for traders: Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum. Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum. These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart. How to Use: Trend Identification: When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum. When the oscillator is below the midline and negative, it reflects bearish momentum. Momentum Strength: The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero. Potential Reversals: Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction. Customization: Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise. Best Use Cases: Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend. Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline. Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals. Key Inputs: Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average. Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience. [Why Use the Candle Spread Oscillator? The CSO is a simple yet powerful tool for traders who want to: Gain a deeper understanding of price momentum. Quickly visualize shifts between bullish and bearish trends. Use clear, actionable signals with customizable alerts. Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.
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RWCS_LTD tarafından
Oryt refined Trading SignalThe Real-Time Buy/Sell Signals indicator is designed to provide timely and accurate trading signals based on multiple confluences of technical analysis tools. It combines fast and slow Exponential Moving Averages (EMAs), Stochastic Oscillator, RSI, and volume to identify high-probability entry and exit points in trending markets. How It Works: Buy Signal: Price is above both the fast and slow EMAs. Stochastic Oscillator shows a bullish crossover and exits the oversold zone (>20). RSI confirms momentum with a reading above 50. Volume is above 1.2 times its 50-period average, confirming strong participation. Sell Signal: Price is below both the fast and slow EMAs. Stochastic Oscillator shows a bearish crossover and exits the overbought zone (<80). RSI confirms bearish momentum with a reading below 50. Visualization: Green "Buy" signals appear below price bars. Red "Sell" signals appear above price bars. Fast and slow EMAs are plotted for trend clarity. Key Features: Designed for intraday and swing trading. Works across various markets (stocks, crypto, forex, etc.). Parameters are customizable to fit different trading styles. Recommended Timeframes: Intraday: 5-minute, 15-minute. Swing: 1-hour, 4-hour. Customizable Inputs: EMA lengths, RSI length, Stochastic smoothing, and volume multiplier are fully adjustable. Tweak the settings to align with your preferred trading strategy. Disclaimer: This indicator is a tool to assist in technical analysis. It should not be used as a standalone trading strategy. Always combine signals with other analyses and manage risk appropriately.
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cryptomaniac131 tarafından