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Indikatoren und Strategien

Trendline Breakouts With Targets [ omerprıme ]Indicator Explanation (English) This indicator is designed to detect trendline breakouts and provide early trading signals when the price breaks key support or resistance levels. Trendline Detection The indicator identifies recent swing highs and lows to construct dynamic trendlines. These trendlines act as support in an uptrend and resistance in a downtrend. Breakout Confirmation When the price closes above a resistance trendline, the indicator generates a bullish breakout signal. When the price closes below a support trendline, it generates a bearish breakout signal. Filtering False Signals To reduce false breakouts, additional conditions (such as candle confirmation, volume filters, or price momentum) can be applied. Only significant and confirmed breakouts are highlighted. Trading Logic Buy signals are triggered when the price breaks upward through resistance with confirmation. Sell signals are triggered when the price breaks downward through support with confirmation.
Pine Script® Indikator
von gomer3355
EMA 20+50 + MACD Strateji ( omerprıme)EASY BUY-SELL basitçe al -sat yapabileceğiniz macd indikatörü ve ema kullanılmış bir indikatördür unutmayın ki ne kadar basit o kadar verimli. Moving Averages) to generate trading signals and trend confirmation. Trend Identification with EMA Two EMAs are used to determine the overall market trend (commonly a short-term EMA and a long-term EMA). When the short EMA crosses above the long EMA, it indicates an uptrend. When the short EMA crosses below the long EMA, it signals a downtrend. Signal Confirmation with MACD The MACD line and Signal line are analyzed to detect momentum shifts. A bullish signal occurs when the MACD line crosses above the Signal line, especially if the EMAs confirm an uptrend. A bearish signal occurs when the MACD line crosses below the Signal line, especially if the EMAs confirm a downtrend. Trading Logic Buy signals appear only when both the EMA trend is bullish and the MACD confirms momentum to the upside. Sell signals appear only when both the EMA trend is bearish and the MACD confirms momentum to the downside.
Pine Script® Indikator
von gomer3355
Advantage RSI PredictorThe Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and change of price movements, typically on a scale from 0 to 100, to identify overbought (above 70) or oversold (below 30) conditions. However, its reliance on historical data limits its ability to predict future price movements. To overcome this, an advanced indicator—termed the Advanced RSI Predictor (ARP)—can be developed to provide predictive bands for RSI levels, enhancing its forecasting potential.The ARP leverages machine learning techniques, such as Long Short-Term Memory (LSTM) networks, combined with traditional RSI calculations to forecast future RSI values and establish confidence intervals or bands. These bands represent a range within which the RSI is likely to fluctuate over a specified period, offering traders a probabilistic perspective on momentum shifts. The indicator starts with the standard RSI computation, using a 14-period lookback as a foundation, but enriches this by incorporating additional inputs like moving averages, volatility measures (e.g., Bollinger Bands width), and trading volume. These features are processed through an LSTM model trained on historical price and RSI data to predict future RSI trajectories.The output includes upper and lower predictive bands, typically set at a 95% confidence level, surrounding a central forecasted RSI line. For example, if the current RSI is 45, the ARP might project a band from 40 to 50 over the next five days, indicating potential momentum stability or a range for overbought/oversold thresholds. The bands adapt dynamically to market conditions—narrowing during stable trends and widening during volatile periods—using real-time data updates. This adaptability allows traders to anticipate breakouts or reversals before they manifest on the price chart.Validation can be strengthened through backtesting against historical data, ensuring the ARP’s bands align with significant market turns. This indicator proves especially valuable in trending markets, where traditional RSI levels (e.g., 70 or 30) may falter, offering a sophisticated tool for informed trading or investment decisions.
Pine Script® Indikator
von FomoFutures
Estrategia MACD//@version=6 indicator("Trading Sessions", overlay = true, max_boxes_count = 500, max_lines_count = 500, max_labels_count = 500) bool showSessionNames = input.bool(true, "Show session names") bool showSessionOC = input.bool(true, "Draw session open and close lines") bool showSessionTickRange = input.bool(true, "Show tick range for each session") bool showSessionAverage = input.bool(true, "Show average price per session") const string TZ_TOOLTIP_TEXT = "The session's time zone, specified in either GMT notation (e.g., 'GMT-5') or as an IANA time zone database name (e.g., 'America/New_York')." + " We recommend the latter since it includes other time-related changes, such as daylight savings." const string FIRST_SESSION_GROUP = "First Session" showFirst = input.bool(true, "Show session", group = FIRST_SESSION_GROUP, display = display.none) firstSessionName = input.string("Tokyo", "Displayed name", group = FIRST_SESSION_GROUP, display = display.none) firstSessionTime = input.session("0900-1500", "Session time", group = FIRST_SESSION_GROUP, display = display.none) firstSessionTZ = input.string("Asia/Tokyo", "Session timezone", group = FIRST_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT) firstSessionColor = input.color(color.new(#2962FF, 85), "Session color", group = FIRST_SESSION_GROUP) const string SECOND_SESSION_GROUP = "Second session" showSecond = input.bool(true, "Show session", group = SECOND_SESSION_GROUP, display = display.none) secondSessionName = input.string("London", "Displayed name", group = SECOND_SESSION_GROUP, display = display.none) secondSessionTime = input.session("0830-1630", "Session time", group = SECOND_SESSION_GROUP, display = display.none) secondSessionTZ = input.string("Europe/London", "Session timezone", group = SECOND_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT) secondSessionColor = input.color(color.new(#FF9800, 85), "Session color", group = SECOND_SESSION_GROUP) const string THIRD_SESSION_GROUP = "Third session" showThird = input.bool(true, "Show session", group = THIRD_SESSION_GROUP, display = display.none) thirdSessionName = input.string("New York", "Displayed name", group = THIRD_SESSION_GROUP, display = display.none) thirdSessionTime = input.session("0930-1600", "Session time", group = THIRD_SESSION_GROUP, display = display.none) thirdSessionTZ = input.string("America/New_York", "Session timezone", group = THIRD_SESSION_GROUP, display = display.none, tooltip = TZ_TOOLTIP_TEXT) thirdSessionColor = input.color(color.new(#089981, 85), "Session color", group = THIRD_SESSION_GROUP) type SessionDisplay box sessionBox label sessionLabel line openLine line avgLine line closeLine float sumClose int numOfBars type SessionInfo color color string name string session string timezone SessionDisplay active = na method setName(SessionDisplay this, string name) => sessionLabel = this.sessionLabel sessionBox = this.sessionBox boxText = array.new() if showSessionTickRange boxText.push("Range: " + str.tostring((sessionBox.get_top() - sessionBox.get_bottom()) / syminfo.mintick, format.mintick)) if showSessionAverage boxText.push("Avg: " + str.tostring(this.sumClose / this.numOfBars, format.mintick)) if showSessionNames boxText.push(name) sessionLabel.set_y(sessionBox.get_bottom()) sessionLabel.set_text(array.join(boxText, " ")) method createSessionDisplay(SessionInfo this) => boxColor = this.color opaqueColor = color.new(boxColor, 0) dis = SessionDisplay.new( sessionBox = box.new(bar_index, high, bar_index, low, bgcolor = boxColor, border_color = na), sessionLabel = label.new(bar_index, low, "", style = label.style_label_upper_left, textalign = text.align_left, textcolor = opaqueColor, color = color(na)), openLine = showSessionOC ? line.new(bar_index, open, bar_index, open, color = opaqueColor, style = line.style_dashed, width = 1) : na, closeLine = showSessionOC ? line.new(bar_index, close, bar_index, close, color = opaqueColor, style = line.style_dashed, width = 1) : na, avgLine = showSessionAverage ? line.new(bar_index, close, bar_index, close, style = line.style_dotted, width = 2, color = opaqueColor) : na, sumClose = close, numOfBars = 1 ) linefill.new(dis.openLine, dis.closeLine, boxColor) dis.setName(this.name) this.active := dis method updateSessionDisplay(SessionInfo this) => sessionDisp = this.active sessionBox = sessionDisp.sessionBox openLine = sessionDisp.openLine closeLine = sessionDisp.closeLine avgLine = sessionDisp.avgLine sessionDisp.sumClose += close sessionDisp.numOfBars += 1 sessionBox.set_top(math.max(sessionBox.get_top(), high)) sessionBox.set_bottom(math.min(sessionBox.get_bottom(), low)) sessionBox.set_right(bar_index) sessionDisp.setName(this.name) if showSessionOC openLine.set_x2(bar_index) closeLine.set_x2(bar_index) closeLine.set_y1(close) closeLine.set_y2(close) if showSessionAverage avgLine.set_x2(bar_index) avg = sessionDisp.sumClose / sessionDisp.numOfBars avgLine.set_y1(avg) avgLine.set_y2(avg) sessionDisp method update(SessionInfo this) => bool isChange = timeframe.change("1D") if (not na(time("", this.session, this.timezone))) // inSession if na(this.active) or isChange this.createSessionDisplay() else this.updateSessionDisplay() else if not na(this.active) this.active := na getSessionInfos()=> array sessionInfos = array.new() if showFirst sessionInfos.push(SessionInfo.new(firstSessionColor, firstSessionName, firstSessionTime, firstSessionTZ)) if showSecond sessionInfos.push(SessionInfo.new(secondSessionColor, secondSessionName, secondSessionTime, secondSessionTZ)) if showThird sessionInfos.push(SessionInfo.new(thirdSessionColor, thirdSessionName, thirdSessionTime, thirdSessionTZ)) sessionInfos var array sessionInfos = getSessionInfos() if timeframe.isdwm runtime.error("This indicator can only be used on intraday timeframes.") for info in sessionInfos info.update()
Pine Script® Indikator
von arissontoguchi
Brownian Motion Probabilistic Forecasting (Time Adaptive)Probabilistic Price Forecast Indicator Overview The Probabilistic Price Forecast is an advanced technical analysis tool designed for the TradingView platform. Instead of predicting a single future price, this indicator uses a Monte Carlo simulation to model thousands of potential future price paths, generating a cone of possibilities and calculating the probability of specific outcomes. This allows traders to move beyond simple price targets and ask more sophisticated questions, such as: "What is the probability that this stock will increase by 5% over the next 24 hours?" Core Concept: Geometric Brownian Motion The indicator's forecasting model is built on the principles of Geometric Brownian Motion (GBM) , a widely accepted mathematical model for describing the random movements of financial asset prices. The core idea is that the next price step is a function of the asset's historical trend (drift), its volatility, and a random "shock." The formula used to project each price step in the simulation is: next_price = current_price * exp( (μ - (σ²/2))Δt + σZ√(Δt) ) Where: μ (mu) represents the drift , which is the average historical return. σ (sigma) represents the volatility , measured by the standard deviation of historical returns. Z is a random variable from a standard normal distribution, representing the random "shock" or new information affecting the price. Δt (delta t) is the time step for each projection. How It Works The indicator performs a comprehensive analysis on the most recent bar of the chart: **Historical Analysis**: It first analyzes a user-defined historical period (e.g., the last 240 hours of price data) to calculate the asset's historical drift (μ) and volatility (σ) from its logarithmic returns. **Monte Carlo Simulation**: It then runs thousands of simulations (e.g., 2000) of future price paths over a specified forecast period (e.g., the next 24 hours). Each path is unique due to the random shock (Z) applied at every step. **Probability Distribution**: After all simulations are complete, it collects the final price of each path and sorts them to build a probability distribution of potential outcomes. **Visualization and Signaling**: Finally, it visualizes this distribution on the chart and generates signals based on the user's criteria. Key Features & Configuration The indicator is highly configurable, allowing you to tailor its analysis to your specific needs. Time-Adaptive Periods The lookback and forecast periods are defined in hours , not bars. The script automatically converts these hour-based inputs into the correct number of bars based on the chart's current timeframe, ensuring the analysis remains consistent across different chart resolutions. Forecast Quartiles You can visualize the forecast as a "cone of probability" on the chart. The indicator draws lines and a shaded area representing the price levels for different quartiles (percentiles) of the simulation results. By default, this shows the range between the 25th and 95th percentiles. Independent Bullish and Bearish Signals The indicator allows you to set independent criteria for bullish and bearish signals, providing greater flexibility. You can configure: A bullish signal for an X% confidence of a Y% price increase. A bearish signal for a W% confidence of a Z% price decrease. For example, you can set it to alert you for a 90% chance of a 2% drop, while simultaneously looking for a 60% chance of a 10% rally. How to Interpret the Indicator The Forecast Cone : The blue shaded area on the chart represents the probable range of future prices. The width of the cone indicates the expected volatility; a wider cone means higher uncertainty. The price labels on the right side of the cone show the calculated percentile levels at the end of the forecast period. Green Signal Label : A green "UP signal" label appears when the probability of the price increasing by your target percentage exceeds your defined confidence level. Red Signal Label : A red "DOWN signal" label appears when the probability of the price decreasing by your target percentage exceeds your confidence level. This tool provides a statistical edge for understanding future possibilities but should be used in conjunction with other analysis techniques.
Pine Script® Indikator
von mattimeo_mouse
AutoDay MA (Session-Normalized)📊 AutoDay MA (Session-Normalized Moving Average) ⚡ Daily power, intraday precision. AutoDay MA automatically converts any N-day moving average into the exact equivalent on your current intraday timeframe. 💡 Concept inspired by Brian Shannon (Alphatrends) – mapping daily MAs onto intraday charts by normalizing session minutes. 🛠 How it works Set Days (N) (e.g., 5, 10, 20). Define Session Minutes per Day (⏱ 390 = US RTH, 🌍 1440 = 24h). The indicator detects your chart’s timeframe and computes: Length = (Days × SessionMinutes) / BarMinutes Applies your chosen MA type (📐 SMA / EMA / RMA / WMA) with rounding (nearest, up, down). Displays all details in a clear corner info panel. ✅ Why use it Consistency 🔄: Same 5-day smoothing across all intraday charts. Session-aware 🕒: Works for equities, futures, FX, crypto. Transparency 🔍: Always shows the math & final MA length. Alerts built-in 🔔: Cross up/down vs. price. 📈 Examples 5-Day on 1m → 1950-period MA 5-Day on 15m → 130-period MA 5-Day on 65m → 30-period MA 10-Day on 24h/15m (crypto) → 960-period MA
Pine Script® Indikator
von TradeQUO
4
3SMA (1H only) by tophengzkyThis script plots three Simple Moving Averages (SMA 10, 20, 50), but they are only visible when the chart timeframe is set to 1 hour (1H). It helps traders focus on higher timeframe trend direction without cluttering charts on other timeframes. SMA1 = 10 (white) SMA2 = 20 (yellow) SMA3 = 200 (red) Works only on 1H timeframe Useful for swing traders and intraday traders who rely on hourly trend confirmation. why 1 hr only? the only purpose of this is just to know the bias of the market weather it will reverse or it will continue the trend. As long as the price action did not cross this 3 SMA's the trend will continue. as a trend trader it is very useful this strategy.. make it simple!
Pine Script® Indikator
von christophermarollano
1
💎DrFX Diamond Algo 💎Diamond Algo - Multi-Feature Trading System Advanced trading system combining Supertrend signals with multiple confirmation filters, risk management tools, and a comprehensive market analysis dashboard. ═══ CORE FEATURES ═══ • Smart Buy/Sell signals using modified Supertrend algorithm • Multi-timeframe trend analysis (M1 to D1) • Support & Resistance zone detection • Risk management with automatic TP/SL levels (1:1, 2:1, 3:1) • Real-time market dashboard with key metrics • Multiple trend cloud overlays for visual confirmation ═══ SIGNAL GENERATION ═══ BUY Signal: • Supertrend bullish crossover • Price above SMA filter • Optional smart signals (EMA 200 confirmation) SELL Signal: • Supertrend bearish crossunder • Price below SMA filter • Optional smart signals (EMA 200 confirmation) ═══ DASHBOARD COMPONENTS ═══ • Multi-timeframe trend status (8 timeframes) • Current position indicator • Market state analysis (Trending/Ranging/No trend) • Volatility percentage • Institutional activity monitor • Trading session tracker (NY/London/Tokyo/Sydney) • Trend pressure indicator ═══ VISUAL OVERLAYS ═══ • Trend Cloud: Long-term trend visualization • Trend Follower: Adaptive trend line • Comulus Cloud: Dual ALMA-based trend zones • Cirrus Cloud: Short-term trend bands • Smart Trail: Fibonacci-based trailing stop • Dynamic trend lines with breakout alerts ═══ RISK MANAGEMENT ═══ • Automatic Stop-Loss placement (ATR-based) • Three Take-Profit levels with Risk:Reward ratios • Entry price labeling • Optional distance and decimal customization • Visual lines connecting entry to targets ═══ INPUT PARAMETERS ═══ Sensitivity (1-20): Controls signal frequency Smart Signals Only: Filters for high-probability setups Bar Coloring: Trend-based or gradient coloring Dashboard Location/Size: Customizable placement Multiple overlay toggles for clean charts ═══ BEST PRACTICES ═══ • Lower sensitivity (1-5) for swing trading • Higher sensitivity (10-20) for scalping • Enable Smart Signals for conservative approach • Use dashboard to confirm multi-timeframe alignment • Monitor volatility % before entering trades ═══ ALERT CONDITIONS ═══ • Buy Alert: Triggered on bullish signal • Sell Alert: Triggered on bearish signal • Trend line breakout alerts (automated) ═══ VERSION INFO ═══ Pine Script: v5 Max Labels: 500 Repainting: Minimal (uses confirmed bars for signals) ```
Pine Script® Indikator
von DrFXGOD
RSI: chart overlay This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30. By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window. The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms. Key components and calculation breakdown: Wilder’s EMA Used as the anchor point for measuring price position. myEMA = ta.rma(close, Length) Volatility Unit Derived from the EMA of absolute close-to-close price changes. CC_vol = ta.rma(math.abs(close - close ), Length) Normalization Factor Scales the volatility unit to align with the RSI formula’s structure. normalization_factor = 1 / (Length - 1) Upper and Lower Boundaries Defines price bands corresponding to selected RSI threshold values. up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor) down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor) Inputs RSI length Upper boundary – RSI level above 50 Lower boundary – RSI level below 50 ON/OFF toggle for 50-point line (EMA of close prices) ON/OFF toggle for overbought/oversold coloring (use with line chart) Interpretation: Each band on the chart represents a chosen RSI level. When price touches a band, RSI is at that threshold. The distance between moving average and bands adjusts automatically with volatility and your selected RSI length. All calculations remain fully consistent with standard RSI values. Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
Pine Script® Indikator
von AdaptiveRSI
6
Jarass regression linesDouble Linear Regression Ultimate + MA Ribbon (DLRC + MA) The DLRC + MA indicator is an advanced technical analysis tool that combines double linear regression channels with a moving average ribbon (MA Ribbon). Designed for traders who want to simultaneously track trend, volatility, and potential support/resistance levels. Key Features: 1. Double Linear Regression Channels: • Inner Channel – shorter period, more sensitive to recent price movements. • Outer Channel – longer period, reflects the long-term trend. • Both channels display upper and lower boundaries and a midline. • Optional logarithmic scale for price adjustment. • Real-time R² values to assess regression accuracy. 2. MA Ribbon: • Up to 4 different moving averages simultaneously. • Supports SMA, EMA, SMMA (RMA), WMA, VWMA. • Each MA can be individually enabled/disabled, with customizable period, source, and color. • Helps identify trend direction and dynamic support/resistance levels. 3. Visualization: • Channels are filled with semi-transparent colors for clarity. • Midline for quick trend direction assessment. • Label displays R² values of the channels in real time. 4. Suitable For: • Short-term and long-term traders seeking a combination of linear regression analysis and classic trend-following tools. • Useful for identifying overbought/oversold zones and potential trend reversal points. Summary: DLRC + MA combines statistical precision of linear regression with intuitive trend visualization via a MA ribbon. It provides quick insight into market direction, volatility, and potential turning points, all in one chart overlay.
Pine Script® Indikator
von Jarass1080