Cyber Monday%80 kadar İNDİRİM

"GOLD" için komut dosyalarını ara

Line Break StrategyLine Break Strategy Entry rule: Long on a bullish line and short on a bearish line. Backtest: Profit factors are shown below for three-line break. Daily time frame, FXCM broker. EURUSD: 1.267, USDJPY: 1.039, GBPUSD: -0.816, AUDUSD: -0.959 S&P500: -0.783, Nikkei225: 1.099 CrudeOil: 1.03, Gold: 1.196 BTCUSD: -0.883 Reference: Steve Nison, Beyond Candlesticks - New Japanese Charting Techniques Revealed Note: This strategy doesn't work properly on the linebreak chart. A good example is shown below. The entry prices are not always correct. If you have signal, but the next candle moves in the opposite direction, the entry price is drawn at the Open of the new candle instead of the Close of the previous candle. The results of backtest are unreliable due to this reason.
Pine Script® stratejisi
Mizuki32 tarafından
7
EMA & SMA with FRACTAL DEVIATION BANDS by @XeL_ArjonaEMA & SMA with FRACTAL DEVIATION BANDS Ver. 1.0.25.08.2015 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. WHAT IS THIS? This is the adaptation of the FRACTAL DEVIATION BANDS to be used on Traditional Moving Averages (Simple & Exponential). ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView. 2015
Pine Script® göstergesi
xel_arjona tarafından
1
Acc/Dist. Cloud with Fractal Deviation Bands by @XeL_ArjonaACCUMULATION / DISTRIBUTION CLOUD with MORPHIC DEVIATION BANDS Ver. 2.0.beta.23:08:2015 by Ricardo M. Arjona @XeL_Arjona DISCLAIMER The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of: Buy (Bull) and Sell (Bear) "Power Balance Algorithm by Vadim Gimelfarb published at Stocks & Commodities V. 21:10 (68-72). Custom Weighting Coefficient for Exponential Moving Average (nEMA) adaptation work by @XeL_Arjona with contribution help from @RicardoSantos at TradingView @pinescript chat room. Morphic Numbers (PHI & Plastic) Pine Script adaptation from it's algebraic generation formulas by @XeL_Arjona Fractal Deviation Bands idea by @XeL_Arjona CHANGE LOG: ACCUMULATION / DISTRIBUTION CLOUD: I decided to change it's name from the Buy to Sell Pressure. The code is essentially the same as older versions and they are the center core (VORTEX?) of all derived New stuff which are: MORPHIC NUMBERS: The "Golden Ratio" expressed by the result of the constant "PHI" and the newer and same in characteristics "Plastic Number" expressed as "PN". For more information about this regard take a look at: HERE! CUSTOM(K) EXPONENTIAL MOVING AVERAGE: Some code has cleaned from last version to include as custom function the nEMA , which use an additional input (K) to customise the way the "exponentially" is weighted from the custom array. For the purpose of this indicator, I implement a volatility algorithm using the Average True Range of last 9 periods multiplied by the morphic number used in the fractal study. (Golden Ratio as default) The result is very similar in response to classic EMA but tend to accelerate or decelerate much more responsive with wider bars presented in trending average. FRACTAL DEVIATION BANDS: The main idea is based on the so useful Standard Deviation process to create Bands in favor of a multiplier (As John Bollinger used in it's own bands) from a custom array, in which for this case is the "Volume Pressure Moving Average" as the main Vortex for the "Fractallitly", so then apply as many "Child bands" using the older one as the new calculation array using the same morphic constant as multiplier (Like Fibonacci but with other approach rather than %ratios). Results are AWSOME! Market tend to accelerate or decelerate their Trend in favor of a Fractal approach. This bands try to catch them, so please experiment and feedback me your own observations. EXTERNAL TICKER FOR VOLUME DATA: I Added a way to input volume data for this kind of study from external tickers. This is just a quicky-hack given that currently TradingView is not adding Volume to their Indexes so; maybe this is temporary by now. It seems that this part of the code is conflicting with intraday timeframes, so You are advised. This CODE is versioned as BETA FOR TESTING PROPOSES. By now TradingView Admins are changing lot's of things internally, so maybe this could conflict with correct rendering of this study with special tickers or timeframes. I will try to code by itself just the core parts of this study in order to use them at discretion in other areas. ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingView accounts at: @XeL_Arjona
Pine Script® göstergesi
xel_arjona tarafından
10
Trend Trader//@version=6 indicator("Trend Trader", shorttitle="Trend Trader", overlay=true) // User-defined input for moving averages shortMA = input.int(10, minval=1, title="Short MA Period") longMA = input.int(100, minval=1, title="Long MA Period") // User-defined input for the instrument selection instrument = input.string("US30", title="Select Instrument", options= ) // Set target values based on selected instrument target_1 = instrument == "US30" ? 50 : instrument == "NDX100" ? 25 : instrument == "GER40" ? 25 : instrument == "GOLD" ? 5 : 5 // default value target_2 = instrument == "US30" ? 100 : instrument == "NDX100" ? 50 : instrument == "GER40" ? 50 : instrument == "GOLD" ? 10 : 10 // default value // User-defined input for the start and end times with default values startTimeInput = input.int(12, title="Start Time for Session (UTC, in hours)", minval=0, maxval=23) endTimeInput = input.int(17, title="End Time Session (UTC, in hours)", minval=0, maxval=23) // Convert the input hours to minutes from midnight startTime = startTimeInput * 60 endTime = endTimeInput * 60 // Function to convert the current exchange time to UTC time in minutes toUTCTime(exchangeTime) => exchangeTimeInMinutes = exchangeTime / 60000 // Adjust for UTC time utcTime = exchangeTimeInMinutes % 1440 utcTime // Get the current time in UTC in minutes from midnight utcTime = toUTCTime(time) // Check if the current UTC time is within the allowed timeframe isAllowedTime = (utcTime >= startTime and utcTime < endTime) // Calculating moving averages shortMAValue = ta.sma(close, shortMA) longMAValue = ta.sma(close, longMA) // Plotting the MAs plot(shortMAValue, title="Short MA", color=color.blue) plot(longMAValue, title="Long MA", color=color.red) // MACD calculation for 15-minute chart = request.security(syminfo.tickerid, "15", ta.macd(close, 12, 26, 9)) macdColor = macdLine > signalLine ? color.new(color.green, 70) : color.new(color.red, 70) // Apply MACD color only during the allowed time range bgcolor(isAllowedTime ? macdColor : na) // Flags to track if a buy or sell signal has been triggered var bool buyOnce = false var bool sellOnce = false // Tracking buy and sell entry prices var float buyEntryPrice_1 = na var float buyEntryPrice_2 = na var float sellEntryPrice_1 = na var float sellEntryPrice_2 = na if not isAllowedTime buyOnce :=false sellOnce :=false // Logic for Buy and Sell signals buySignal = ta.crossover(shortMAValue, longMAValue) and isAllowedTime and macdLine > signalLine and not buyOnce sellSignal = ta.crossunder(shortMAValue, longMAValue) and isAllowedTime and macdLine <= signalLine and not sellOnce // Update last buy and sell signal values if (buySignal) buyEntryPrice_1 := close buyEntryPrice_2 := close buyOnce := true if (sellSignal) sellEntryPrice_1 := close sellEntryPrice_2 := close sellOnce := true // Apply background color for entry candles barcolor(buySignal or sellSignal ? color.yellow : na) /// Creating buy and sell labels if (buySignal) label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, yloc=yloc.belowbar) if (sellSignal) label.new(bar_index, high, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, yloc=yloc.abovebar) // Creating labels for 100-point movement if (not na(buyEntryPrice_1) and close >= buyEntryPrice_1 + target_1) label.new(bar_index, high, text=str.tostring(target_1), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar) buyEntryPrice_1 := na // Reset after label is created if (not na(buyEntryPrice_2) and close >= buyEntryPrice_2 + target_2) label.new(bar_index, high, text=str.tostring(target_2), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar) buyEntryPrice_2 := na // Reset after label is created if (not na(sellEntryPrice_1) and close <= sellEntryPrice_1 - target_1) label.new(bar_index, low, text=str.tostring(target_1), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar) sellEntryPrice_1 := na // Reset after label is created if (not na(sellEntryPrice_2) and close <= sellEntryPrice_2 - target_2) label.new(bar_index, low, text=str.tostring(target_2), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar) sellEntryPrice_2 := na // Reset after label is created
Pine Script® göstergesi
Renbrandt2023 tarafından
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past. With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge. ⯁ Real-Time MACD Forecasting For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight. ⯁ Fully Customizable This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model. Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered. ⯁ With MACD Forecast Colorful, you can: • Detect MACD crossovers before they happen. • Anticipate trend reversals with greater precision. • React earlier than traditional indicators. • Gain a powerful edge in both discretionary and automated strategies. • This isn’t just smarter MACD — it’s predictive momentum intelligence. ⯁ Scientifically Powered by Linear Regression MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool. It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart. ⯁ Linear Regression: Technical Foundation Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y  = predicted variable (e.g., future MACD value) x  = independent variable (e.g., bar index) β₀ = intercept β₁ = slope ε   = random error (residual) The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum. ⯁ Least Squares Estimation The regression coefficients are computed with the following formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Regression in Machine Learning Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis. Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading. ⯁ Visual Interpretation Picture the MACD values over time like this: Time  → MACD → A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes. The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement. ⯁ Scientific Concepts Used Linear Regression: models the relationship between variables using a straight line. Least Squares Method: minimizes squared prediction errors for best-fit. Time-Series Forecasting: projects future data based on past patterns. Supervised Learning: predictive modeling using labeled inputs. Statistical Smoothing: filters noise to highlight trends. ⯁ Why This Indicator Is Revolutionary First open-source MACD with real-time predictive modeling. Scientifically grounded with linear regression logic. Automatable through TradingView alerts and bots. Smart signal generation using forecasted crossovers. Highly customizable with 22 buy/sell conditions. Enhanced visuals with background (bgcolor) and area fill (fill) support. This isn’t just an update — it’s the next evolution of MACD forecasting. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the MACD? The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ How to use the MACD? The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: • Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. • Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. • Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. • Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ How to use MACD forecast? The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities. Step 1 — Spot Predicted Crossovers: Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move. Step 2 — Confirm with Histogram Projection: Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions. Step 3 — Combine with Multi-Timeframe Analysis: Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast). Step 4 — Set Entry Conditions & Automation: Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts. Step 5 — Trade Ahead of the Market: By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders. 📈 BUY 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 📉 SELL 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"
Pine Script® göstergesi
DiFlip tarafından
Dark VectorThe Dark Vector is a professional-grade trend-following system designed to solve the two most common causes of trading losses: over-trading during chop and exiting trends too early. Unlike standard indicators that continuously recalculate based on every price tick, this system operates on a strict "State Machine" logic. This means it tracks the current market phase and refuses to issue conflicting signals. If the system is Long, it mathematically cannot issue another Long signal until the previous trend has concluded. The system relies on three core engines: 1. The Trend Architecture (Modified SuperTrend) The backbone of the system is an ATR-based trailing stop mechanism. It creates a dynamic trend line that adjusts to volatility. When volatility expands, the line widens to prevent premature stop-outs during market noise. When volatility contracts, the line tightens to protect profits. 2. The Noise Gate (Choppiness Index) This is the system's safety filter. It measures the fractal efficiency of the market—essentially determining if price is moving in a clear direction or moving sideways. When the market enters a consolidation phase (sideways chop), the Noise Gate activates, turning the candles gray and physically blocking all new entry signals. This prevents the user from entering trades in low-probability environments. 3. The Singularity State Machine This internal logic enforces trading discipline. It treats the trend as a binary state (Bullish or Bearish). It forces an alternating signal pattern, ensuring that you are only alerted to the specific moment a major trend reversal occurs, rather than being bombarded with repetitive signals during a long run. Best Way to Use This System To maximize profitability and minimize false positives, it is recommended to use the "Regime & Alignment" methodology outlined below. 1. The Traffic Light Rule Before placing any trade, observe the color of the candlesticks on the chart: Green Candles: The market is in a confirmed Bullish Impulse. You should only look for Long entries or hold existing positions. Shorting is statistically dangerous here. Red Candles: The market is in a confirmed Bearish Impulse. You should only look for Short entries or hold cash. Buying the dip here is high-risk. Gray Candles: The market is in a Chop/Squeeze regime. The Noise Gate is active. Do not open new positions. This indicates indecision, and the market is likely to destroy option premiums or stop out tight leverage. Wait for the candles to return to Green or Red before acting. 2. The Entry Trigger Enter a trade only when a text label (LONG or SHORT) appears. Long Signal: Occurs when price closes above the Trend Line AND the market is not in a Chop zone. Short Signal: Occurs when price closes below the Trend Line AND the market is not in a Chop zone. 3. The Exit Strategy There are two ways to manage the trade once active: The Trend Follower (Conservative): Hold the position until the Trend Line flips color. This captures the maximum duration of the move but may give back some profit at the very end. The Stop Loss (Active): The Trend Line (the white value in your dashboard) acts as your Trailing Stop. If a candle closes beyond this line, the trend is technically invalidated. You should exit immediately. 4. Multi-Timeframe Alignment (The Golden Rule) The highest win rates are achieved when your trading timeframe aligns with the higher-order trend. Step 1: Check the 4-Hour chart. Is the Trend Line Green? Step 2: Switch to the 15-Minute chart. Step 3: Only take the LONG signals on the 15-Minute chart. Ignore all Short signals. Reasoning: Counter-trend trades often fail. By trading only in the direction of the higher timeframe, you are swimming with the current, not against it. Recommended Settings by Style Swing Trading (Daily/4H): Keep the Trend Factor at 4.0. This ignores daily noise and keeps you in the trade for weeks or months. Day Trading (1H/15m): Lower the Trend Factor to 3.0. This makes the system more reactive to intraday reversals. Scalping (5m): Lower the Trend Factor to 2.0 and the ATR Length to 7. This is aggressive and requires strict adherence to the Stop Loss. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading cryptocurrencies, stocks, and futures involves a high degree of risk and the potential for significant financial loss. The user assumes all responsibility for their trading decisions. Past performance of any system or indicator is not indicative of future results. Always practice risk management and never trade with money you cannot afford to lose.
Pine Script® göstergesi
DarkPoolCrypto tarafından
Smart Money Setup 08 [TradingFinder] Binary Options Gold Scalper🔵 Introduction In the Smart Money methodology, the market is understood as a structure driven by liquidity flow. This structure forms through the movement of large orders, the accumulation of liquidity, and the reactions that occur around key price zones. The logic of Smart Money is based on the idea that price movement is not random and usually evolves with the intention of collecting liquidity and creating price inefficiencies known as imbalances. Within this framework, several important stages including the liquidity sweep, the formation of a point of interest, the appearance of an imbalance and the transition of market structure play major roles and collectively define the broader direction of price. In many bullish scenarios, the market begins by sweeping sell side liquidity and targeting important lows in order to collect the liquidity resting below them. This liquidity collection often becomes the starting point for creating a point of interest which usually marks the area where Smart Money begins to enter the market. After price moves away from this point, it breaks a structural high and forms a change of character. This shift marks a transition in the balance of power between buyers and sellers and is considered the first clear signal that the market structure is changing. After the change of character, new institutional order flow often creates a strong and rapid movement that leaves behind an imbalance. This imbalance is one of the most important elements in Smart Money analysis because price tends to return to this area in order to complete structure and restore balance. The return into the imbalance becomes meaningful when it occurs together with the liquidity sweep, the presence of a validated point of interest and a confirmed structural transition. These conditions frequently mark the beginning of powerful movements within the Smart Money cycle. Understanding the sequence of liquidity, point of interest, imbalance, change of character and market structure builds the foundation of Smart Money analysis and provides a clear view of the true direction of institutional strength. Bullish Setup : Bearish Setup : 🔵 How to Use To use this framework effectively, the trader must analyze the market through the principles of Smart Money and observe how liquidity drives price. A trade becomes valid only when several essential components appear together in a clear and consistent order. These components include the liquidity sweep, the formation of a point of interest, the confirmation of a change of character, the transition of market structure and the return of price into an imbalance. The method is built on the understanding that the market first collects liquidity, then shifts order flow and finally provides an entry opportunity inside an inefficient area or inside a point of interest. For this reason, the trader must follow the path of liquidity from the moment the sweep occurs, through the point of interest and the change of character and finally into the return of price toward the imbalance. When applied correctly, this approach creates entries that are more precise, more structural and more aligned with the real behavior of the market rather than with superficial signals. 🟣 Long Position A bullish setup in Smart Money structure begins with a liquidity sweep on the sell side. The market first targets the areas where sell side liquidity is located and collects the stops and resting liquidity under previous lows. This collection is the condition that Smart Money requires to begin creating a new order flow. After this liquidity has been taken, a point of interest forms which is usually the last bearish candle or the effective demand zone that initiated the upward movement. Price then moves away from the point of interest and breaks a structural high which creates a change of character. This event confirms that the market structure has moved from a bearish state to a bullish one and that buying pressure has taken control of the order flow. Following this shift, a strong upward movement often occurs and creates an imbalance between candles. This imbalance reflects the entrance of strong Smart Money orders and is seen as an important confirmation of bullish strength. When price returns to this imbalance after the displacement, the market enters a phase where Smart Money aims to complete the corrective movement and continue the upward direction. The reaction inside the imbalance when combined with the liquidity sweep, the confirmed point of interest and the change of character completes the bullish setup and forms a structure that often leads to a continuation of the bullish trend. 🟣 Short Position A bearish setup follows the same Smart Money logic but in the opposite direction. The market begins by collecting buy side liquidity and targets the highs where buy side liquidity and resting stops are located. This liquidity sweep on the buy side becomes the starting phase for Smart Money to initiate a downward order flow. After the liquidity is collected, a bearish point of interest forms which is usually the last bullish candle or the supply zone that created the initial drop. Price then moves away from this point and breaks the first structural low. This creates a change of character to the downside which confirms that the market structure has transitioned from bullish to bearish and that selling pressure has gained control. After this shift, a strong downward displacement appears and leaves behind a bearish imbalance that clearly shows the dominance of sellers. As price returns to this imbalance and corrects the inefficient movement, the bearish setup becomes complete as long as the market structure remains bearish. The combination of the buy side liquidity sweep, the bearish point of interest, the change of character, the imbalance and the corrective return creates the ideal structure that Smart Money uses to continue the downward movement and develop a reliable selling opportunity. 🔵 Settings 🟣 Logic Settings Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 5 offers a balanced sensitivity. 🟣 Alert Settings Alert : Enables alerts for SMS08. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵 Conclusion The Smart Money approach demonstrates that price movement is not random or based on surface level patterns. Instead, it develops through a clear cycle of liquidity collection, structural transition and corrective movement toward key price zones. By recognizing events such as the liquidity sweep, the formation of the point of interest, the change of character and the return into the imbalance, the trader gains the ability to understand order flow more accurately and identify the true direction of market structure. Both bullish and bearish setups show that the alignment of these elements creates a transparent view of institutional behavior and reveals the source of strong movements in the market. When the trader correctly identifies this sequence, entry points become more reliable and more aligned with liquidity flow. The combination of liquidity, structure and imbalance provides a consistent framework that removes guesswork and guides decisions through the real logic of the market.
Pine Script® göstergesi
TFlab tarafından
1
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility. While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors. 🎨 Visual & Style Enhancements: Neon Palette: Bullish: Electric Cyan (#00F5FF) Bearish: Neon Hot Pink (#FF007F) Neutral/Levels: Bright Gold (#FFD700) High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large. Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds. Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action. 🛠 Key Features: Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring. Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic. Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps. Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting. Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows. Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias. CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator. Original Author: © LuxAlgo License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
Pine Script® göstergesi
GoldCurry tarafından
Elliott Wave Full Fractal System CleanElliott Wave: Full Fractal System (Automated) This script is a complete Fractal Trading System that automates Elliott Wave analysis. It moves beyond simple wave counting by combining multi-degree wave detection (Primary, Intermediate, Minor) with an automated "Sniper" entry strategy based on high-probability Wave 4 pullbacks. 1. Idea of the Script This tool acts as an educational Elliott Wave assistant that automatically: Detects Swings: Uses a pivot engine (ZigZag-like logic) to identify key market structure. Identifies Impulses: Scans for valid 1–5 motive waves across multiple timeframes. Visualizes Corrections: Detects and labels A-B-C corrective phases after an impulse. Executes Strategy: Adds a strategy layer on the Intermediate degree to backtest optimal entry zones. 2. How it Works: The "Fractal Sniper" Strategy The script applies strict algorithmic logic to Elliott Wave Theory. It analyzes the Intermediate (Green) degree to generate signals: Step 1: The Setup (Wave 3 Identification) The script scans for a valid Wave 3 impulse. It ensures Wave 3 is not the shortest and the structure respects fractal rules. Step 2: The "Wait" Phase (Target Zone) Once Wave 3 is confirmed, the script projects a Box (Green for Long, Red for Short). You will see a label: WAIT FOR DIP. Logic: We wait for price to retrace to the 50% Fibonacci level (The Golden Zone). We do not chase the top of Wave 3. Step 3: The Trigger ("Sniper" Entry) A trade is triggered only when price touches the specific entry zone while maintaining structure. Signal: Sniper Long 🚀 or Sniper Short 🔻. Step 4: Automated Risk Management Stop Loss (SL): Placed at the extremum of Wave 1 (Theory: Wave 4 cannot overlap Wave 1). Take Profit (TP): Placed at the 1.618 Fibonacci Extension of Wave 5. 3. 📊 Visual Legend (Fractal Degrees) The script analyzes three timeframes simultaneously. Use this guide to read the chart: 🔵 Blue (Primary Degree): Macro Trend. Marked with Circles (①, ②...). Use this for overall market bias. 🟢 Green (Intermediate Degree): The Trading Layer. Marked with Parentheses ((1), (2)...). All Strategy Signals are generated from this degree. 🔴 Red (Minor Degree): Micro Structure. Marked with Roman Numerals (i, ii...). Useful for seeing the sub-waves inside larger moves. 4. 📉 A-B-C Corrections (Visual Only) The script automatically detects and labels corrective phases (A, B, C) following a 5-wave impulse. Function: These labels indicate that the trend is correcting or resting. Note: The "Strategy" (Buy/Sell logic) ignores these A-B-C labels. It sees the correction and draws it for your awareness, but it does not risk money on counter-trend moves. 5. ⚠️ CRITICAL NOTE ON BACKTESTING & LAG This strategy uses ta.pivothigh and ta.pivotlow to identify wave structures. The Lag: Pivot points are lagging indicators. A pivot is only mathematically confirmed X bars after the peak or valley has occurred. The Backtest: While the labels are drawn historically on the correct bars, the strategy logic strictly waits for the pivot confirmation before generating a signal. This prevents "repainting" in live trading, but users must understand that the signal occurs after the pivot is locked in. 6. Settings Included Degrees: Customizable lookback lengths for Primary, Intermediate, and Minor waves. Strict Rules: Toggle to enforce standard Elliott rules (e.g., No Overlap). Realistic Simulation: Commission and slippage are enabled in the strategy settings to provide realistic results. Disclaimer: This script is for educational and research purposes only. It applies strict algorithmic logic to Elliott Wave Theory, but wave counting is inherently subjective. Past performance does not guarantee future results.
Pine Script® stratejisi
mbedaiwi2 tarafından
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Pine Script® göstergesi
Semtex76 tarafından
Ultimate AIO Scalper & Trend PRO [THF] V2.0This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems. The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment. ### 🛠️ Key Features & Components: **1. Trend & Scalp Engine:** * **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries. * **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend. * **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200). **2. Price Action (Fair Value Gaps):** * **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones. * **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps. * **Mitigation Lines:** Automatically draws lines when price tests an FVG level. **3. Ichimoku Cloud Overlay:** * Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength. * **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud. **4. Momentum & Volume:** * **Volume Coloring:** Bars are colored based on relative volume strength. * **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly. ### 🎯 How to Trade (Confluence Strategy): The power of this script lies in **Confluence** (multiple indicators agreeing): * **Buy Setup:** 1. Price is above the **Ichimoku Cloud** and **SMA 200**. 2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label. 3. Confirm that price is reacting to a **Bullish FVG** (Green Box). 4. **RSI/MACD** should show bullish momentum. * **Sell Setup:** 1. Price is below the **Ichimoku Cloud** and **SMA 200**. 2. Wait for a **"SCALP SELL"** signal. 3. Confirm rejection from a **Bearish FVG** (Red Box). --- **CREDITS & ATTRIBUTION:** * **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view. * **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations. *Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Pine Script® göstergesi
THF84 tarafından
XAUUSD 9/1 and 6/4 ZONE LINE (Buy zone and SELL zone)When trading the XAUUSD pair, I noticed that gold often reverses from price levels ending with the digits 9/1 and 6/4. Because of this pattern, I began drawing lines based on these price endings and integrating them into my trading strategy. When combined with other trading methods, these levels provided strong and consistent results. Feel free to try it yourself — just make sure to analyze the market carefully before entering any trade!
Pine Script® göstergesi
usarov1987_21 tarafından
THF Ultimate AIO Scalper & Trend PRO This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems. The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment. ### 🛠️ Key Features & Components: **1. Trend & Scalp Engine:** * **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries. * **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend. * **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200). **2. Price Action (Fair Value Gaps):** * **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones. * **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps. * **Mitigation Lines:** Automatically draws lines when price tests an FVG level. **3. Ichimoku Cloud Overlay:** * Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength. * **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud. **4. Momentum & Volume:** * **Volume Coloring:** Bars are colored based on relative volume strength. * **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly. ### 🎯 How to Trade (Confluence Strategy): The power of this script lies in **Confluence** (multiple indicators agreeing): * **Buy Setup:** 1. Price is above the **Ichimoku Cloud** and **SMA 200**. 2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label. 3. Confirm that price is reacting to a **Bullish FVG** (Green Box). 4. **RSI/MACD** should show bullish momentum. * **Sell Setup:** 1. Price is below the **Ichimoku Cloud** and **SMA 200**. 2. Wait for a **"SCALP SELL"** signal. 3. Confirm rejection from a **Bearish FVG** (Red Box). --- **CREDITS & ATTRIBUTION:** * **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view. * **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations. *Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Pine Script® göstergesi
THF84 tarafından
HTF FVG + SessionsThis indicator combines multi-timeframe FVG A–C detection with intraday session boxes on a single chart. It automatically finds bullish and bearish Fair Value Gaps on 15m, 30m, 1H, 4H, 1D and 1W timeframes. Fresh FVGs are drawn in a transparent gold color, then dynamically shrink as price trades back into the gap. Once price fully fills the gap, the FVG box and its label are automatically removed from the chart. After the first touch, each FVG changes to a per-timeframe gray shade, making overlapping HTF gaps easy to see. You can toggle each timeframe on/off and also globally enable/disable all FVGs from the settings panel. Session boxes highlight Asia, London, NY AM, NY Lunch and NY PM using soft colored rectangles. Each session box is plotted from the high to the low of that session and labeled with its name in white text. A global “Show all session boxes” switch allows you to quickly hide or display the session structure. This tool is designed for traders who want to combine FVG liquidity maps with clear intraday session context.
Pine Script® göstergesi
Menash100 tarafından
SYMBOL NOTES - UNCORRELATED TRADING GROUPSWrite symbol-specific notes that only appear on that chart. Organized into 6 uncorrelated groups for safe multi-pair trading. 📝 SYMBOL NOTES - UNCORRELATED TRADING GROUPS This indicator solves two problems every serious trader faces: 1. Keeping Track of Your Analysis Write notes for each trading pair and they'll only appear when you view that specific chart. No more forgetting your key levels, trade ideas, or analysis! 2. Avoiding Correlated Risk The symbols are organized into 6 groups where ALL pairs within each group are completely UNCORRELATED. Trade any combination from the same group without worrying about double exposure. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 THE PROBLEM THIS SOLVES Have you ever: - Opened XAUUSD and EURUSD at the same time, then Fed news hit and BOTH positions went against you? - Traded GBPUSD and GBPJPY together, then BOE announcement stopped out both trades? - Forgotten what levels you were watching on a pair? This indicator helps you avoid these costly mistakes! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📁 THE 6 UNCORRELATED GROUPS Each group contains pairs that share NO common currency: ``` GRUP 1: XAUUSD • EURGBP • NZDJPY • AUDCHF • NATGAS GRUP 2: EURUSD • GBPJPY • AUDNZD • CADCHF GRUP 3: GBPUSD • EURJPY • AUDCAD • NZDCHF GRUP 4: USDJPY • EURCHF • GBPAUD • NZDCAD GRUP 5: USDCAD • EURAUD • GBPCHF GRUP 6: NAS100 • DAX40 • UK100 • JPN225 ``` **Example - GRUP 1:** - XAUUSD → Uses USD + Gold - EURGBP → Uses EUR + GBP - NZDJPY → Uses NZD + JPY - AUDCHF → Uses AUD + CHF - NATGAS → Commodity (independent) = 7 different currencies, ZERO overlap! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ **✅ HOW TO USE** 1. Add indicator to any chart 2. Open Settings (gear icon ⚙️) 3. Find your symbol's group and input field 4. Write your note (support levels, trade ideas, etc.) 5. Switch charts - your note appears only on that symbol! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS - Note Position: Choose where the note box appears (6 positions) - Text Size: Tiny, Small, Normal, or Large - Show Group Name: Display which correlation group - Show Symbol Name: Display current symbol - Colors: Customize background, text, group label, and border colors ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 TRADING STRATEGY TIPS Safe Multi-Pair Trading: 1. Pick ONE group for the day 2. Look for setups on ANY symbol in that group 3. Open positions freely - they won't correlate! 4. Even if major news hits, only ONE position is affected ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 COMPATIBLE WITH - All major forex brokers - Prop firms (FTMO, Alpha Capital, etc.) - Works on any timeframe - Futures symbols supported (MGC, M6E, etc.) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pine Script® göstergesi
Saeid21 tarafından
MFM – Light Context HUD (Minimal)Overview MFM Light Context HUD is the free version of the Market Framework Model. It gives you a fast and clean view of the current market regime and phase without signals or chart noise. The HUD shows whether the asset is in a bullish or bearish environment and whether it is in a volatile, compression, drift, or neutral phase. This helps you read structure at a glance. Asset availability The free version works only on a selected list of five assets. Supported symbols are SP:SPX TVC:GOLD BINANCE:BTCUSD BINANCE:ETHUSDT OANDA:EURUSD All other assets show a context banner only. How it works The free version uses fixed settings based on the original MFM model. It calculates the regime using a higher timeframe RSI ratio and identifies the current phase using simplified momentum conditions. The chart stays clean. Only a small HUD appears in the top corner. Full visual phases, ratio logic, signals, and auto tune are part of the paid version. The free version shows the phase name only. It does not display colored phase zones on the chart. Phase meaning The Market Framework Model uses four structural phases to describe how the market behaves. These are not signals but context layers that show the underlying environment. Volatile (Phase 1) The market is in a fast, unstable or directional environment. Price can move aggressively with stronger momentum swings. Compression (Phase 2) The market is in a contracting state. Momentum slows and volatility decreases. This phase often appears before expansion, but it does not predict direction. Drift (Phase 3) The market moves in a more controlled, persistent manner. Trends are cleaner and volatility is lower compared to volatile phases. No phase No clear structural condition is active. These phases describe market structure, not trade entries. They help you understand the conditions you are trading in. Cross asset context The Market Framework Model reads markets as a multi layer system. The full version includes cross asset analysis to show whether the asset is acting as a leader or lagger relative to its benchmark. The free version uses the same internal benchmark logic for regime detection but does not display the cross asset layer on the chart. Cross asset structure is a core part of the MFM model and is fully available in the paid version. Included in this free version Higher timeframe regime Current phase name Clean chart output Context only Works on a selected set of assets Not included No forecast signals No ratio leader or lagger logic No MRM zones No MPF timing No auto tune The full version contains all features of the complete MFM model. Full version You can find the full indicator here: payhip.com More information Model details and documentation: mfm.inratios.com Momentum Framework Model free HUD indicator User Guide: mfm.inratios.com Disclaimer The Market Framework Model (MFM) and all related materials are provided for educational and informational purposes only. Nothing in this publication, the indicator, or any associated charts should be interpreted as financial advice, investment recommendations, or trading signals. All examples, visualizations, and backtests are illustrative and based on historical data. They do not guarantee or imply any future performance. Financial markets involve risk, including the potential loss of capital, and users remain fully responsible for their own decisions. The author and Inratios© make no representations or warranties regarding the accuracy, completeness, or reliability of the information provided. MFM describes structural market context only and should not be used as the sole basis for trading or investment actions. By using the MFM indicator or any related insights, you agree to these terms. © 2025 Inratios. Market Framework Model (MFM) is protected via i-Depot (BOIP) – Ref. 155670. No financial advice.
Pine Script® göstergesi
Inratios tarafından