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RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔹 RSI (Crossover) MA Forecast 🔹 RSI (Crossunder) MA Forecast 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔸 RSI (Crossover) MA Forecast 🔸 RSI (Crossunder) MA Forecast 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Indicador Pine Script®
por Titans_Invest
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements. Indicators Used EMA Crossover - Fast and slow exponential moving averages to identify trend direction MACD - Momentum indicator showing the relationship between two moving averages RSI - Measures speed and change of price movements to identify overbought/oversold conditions Parabolic SAR - Identifies potential reversal points in price movement Supertrend - Combines trend and volatility to generate clear buy/sell signals ADX - Measures trend strength to filter out low-conviction signals Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction Usage Recommendations Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading Market Application: Most effective in trending markets with clear directional bias Optimization: Test different indicator combinations to find what works best for specific markets Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance Notes The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis An information panel shows active indicators and testing period All calculations are performed even for disabled indicators but they won't affect signal generation The backtesting period can be adjusted according to your analysis needs This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
Estratégia Pine Script®
por TiamatCrypto
Kevs RSI v2 - Divergence & Signals **Kevs RSI v2 - Divergence & Signals** **Description:** Kevs RSI v2 is an enhanced Relative Strength Index (RSI) indicator designed for traders who want more actionable insights from RSI behavior. It combines a hybrid smoothing technique for a cleaner RSI line with intelligent divergence detection and automatic buy/sell signals. Key features include: - **Smoothed RSI** using a blend of WMA and EMA for a sharper, more responsive line. - **Buy/Sell Signals** generated by oversold/overbought exits and confirmed divergence patterns. - **Automatic Divergence Detection**, highlighting bullish and bearish divergences visually on the chart. - **Customizable Settings** for RSI length, overbought/oversold levels, background fill, and divergence sensitivity. This tool provides an excellent edge for traders who want to combine traditional RSI signals with modern divergence analysis. --- # **How to Use:** 1. **Add to Chart:** Apply "Kevs RSI v2 - Divergence & Signals" to your chart from the Indicators menu. 2. **Customize Settings (Optional):** - Adjust the RSI Length, Overbought, and Oversold levels according to your trading style. - Turn background fill on or off for better visibility. - Modify the Divergence Lookback Period or Strength Threshold to fine-tune divergence sensitivity. 3. **Interpret Signals:** - **Buy Signal:** A green "BUY" label appears when the RSI crosses back above the oversold zone or when bullish divergence is detected. - **Sell Signal:** A red "SELL" label appears when the RSI crosses below the overbought zone or when bearish divergence is detected. - **Bullish/Bearish Divergence:** Small green or red diamonds highlight divergence points with optional strength labels. 4. **Trade Responsibly:** Combine these signals with your broader analysis (price action, trend structure, risk management) for best results. --- **Notes:** - Best used on 1-minute to daily charts. - Ideal for day traders, swing traders, and crypto or forex traders looking to enhance entry/exit precision. - Divergence detection is dynamic — lower the "Divergence Strength Threshold" to catch more divergences, or raise it to filter out weaker signals.
Indicador Pine Script®
por kevTheTrader42618
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders: ✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity. ✔ Detect periods of capital inflow or outflow from stablecoins. ✔ Identify market sentiment shifts based on stablecoin reserves. 🔶 CALCULATION The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap: Stablecoin Aggregation • Inputs: USDT, USDC, DAI, USDD (daily closing values). BUSD Market Cap (Glassnode data). • Total Stablecoin Supply: Sum of the listed stablecoins' market caps. Stablecoin Supply Ratio (SSR) • Formula: SSR = Bitcoin Market Cap / Total Stablecoin Supply • Normalized SSR: Normalized by dividing SSR by its 200-day SMA. Bollinger Bands • Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations. Example Calculation: ssr = btcmc / stablecoin_liq ratio = ssr / ta.sma(ssr, 200) basis = ta.sma(ratio, 200) dev = 2 * ta.stdev(ratio, 200) upper = basis + dev lower = basis - dev 🔶 DETAILS Visual Features: • Normalized SSR: Plotted as a light green line. • Upper Band: Red line indicating SSR overbought zone. • Lower Band: Green line signaling SSR oversold zone. Interpretation: • High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power. • Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure. • Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes. 🔶 EXAMPLES Market insights include: • Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain. • Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand. 🔶 SETTINGS Customization Options: • MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation. • Period: Adjust the 200-day smoothing period. • Deviation Multiplier: Modify the standard deviation multiplier (default: 2). The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
Indicador Pine Script®
por AlphaExtract
Prezzo + Velocità + AccelerazionePrice + Velocity + Acceleration (Cycle Centered Analysis) Description: 🔥 This indicator provides an advanced analysis of the cyclical behavior of the market through the calculation of: 📈 Centered Moving Average (150 periods, equivalent to a 450-period cycle on the 15m timeframe, adapted to 45m), 🏎️ Velocity: the difference between two consecutive centered moving averages (measuring immediate movement strength), ⚡ Acceleration: the difference between moving averages of the velocity (measuring the change in force, i.e., cyclic acceleration), 🌟 Smoothed Acceleration Moving Average (amplified ×100 for better visualization). ✅ All calculations respect the exact centering of data (offset -length/2). ✅ No subjective interpretations: pure mathematical cycle analysis. How to read it: The green/red line = Instantaneous velocity. The smoothed green/red line = Instantaneous acceleration. The yellow line = Smoothed acceleration moving average ×100, showing important phase inversions. Operational use: Velocity color changes → possible short-term cycle turning points. Acceleration reversals → confirmations of cycle trend changes. 📊 Best suited for intraday and swing trading (45-minute and daily timeframes). 📚 A powerful tool to study and forecast market cycles based on pure mathematics without subjective biases.
Indicador Pine Script®
por Skitla13TM
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0 This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom. The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy. This is an entry strategy that tries to find entries close to "the dip". A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals. This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions. Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries. Happy trading!
Indicador Pine Script®
por infoq1suh
Quad Rotation StochasticQuad Rotation Stochastic The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators. Why this indicator is useful: Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals. Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early. Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues. ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups. Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities. Why this indicator is unique: Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic. Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association. Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs. Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset. Example Usage: Trading Bitcoin with Quad Rotation Stochastic When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color. If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade. Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs. By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Indicador Pine Script®
por SaveWithCrypto
Kalman Filtered RSI | [DeV]The Kalman Filtered RSI indicator is an advanced tool designed for traders who want precise, noise-free market insights. By enhancing the classic Relative Strength Index (RSI) with a Kalman filter, this indicator delivers a smoother, more reliable view of market momentum, helping you identify trends, reversals, and overbought/oversold conditions with greater accuracy. It’s an ideal choice for traders seeking clear signals amidst market volatility, giving you a competitive edge across any trading environment. The RSI measures momentum by analyzing price movements over a set period, typically 14 bars. It calculates the average of price gains on up days and the average of price losses on down days, then compares these to produce a value between 0 and 100. An RSI above 70 often indicates an overbought market that may reverse downward, while below 30 suggests an oversold market that could reverse upward. RSI is great for spotting momentum shifts, potential reversals, and trend strength, but it can be noisy in choppy markets, leading to misleading signals. That's where the Kalman filter comes in; it enhances the RSI by applying a sophisticated smoothing process that predicts the RSI’s next value based on its historical trend, then updates this prediction with the actual RSI reading. It operates in two phases: prediction and correction. In the prediction phase, it uses the previous filtered RSI and adds uncertainty from process noise (Q), which is derived from the historical variance of RSI changes, reflecting how much the RSI might unexpectedly shift. In the correction phase, it calculates a Kalman gain based on the ratio of prediction uncertainty to measurement noise (R), which is determined from the variance between raw RSI and a smoothed version, indicating the raw data’s noisiness. This gain weights how much the filter trusts the new RSI versus the prediction, blending them to produce a smoothed RSI that reduces noise while staying responsive to real trends, outperforming simpler methods like moving averages that often lag or oversmooth. With the Kalman Filtered RSI, you get a refined view of momentum, making it easier to spot trends and reversals with clarity. This indicator’s ability to dynamically adapt to market changes delivers timely, reliable signals, making it a powerful addition to your trading strategy for any market or timeframe.
Indicador Pine Script®
por DeVrizii
Pi Cycle | AlchimistOfCrypto Pi Cycle Top Indicator - A Powerful Market Phase Detector Developed by AlchimistOfCrypto 🧪 The Pi Cycle uses mathematical harmony to identify Bitcoin market cycle tops with remarkable precision. Just as elements react at specific temperatures, Bitcoin price behaves predictably when these two moving averages converge! 🧬 ⚗️ The formula measures when the 111-day SMA crosses below the 350-day SMA × 2, creating a perfect alchemical reaction that has successfully identified the major cycle tops in 2013, 2017, and 2021. 🔬 Like the Golden Ratio in nature, this indicator reveals the hidden mathematical structure within Bitcoin's chaotic price movements. 🧮 When the reaction occurs, prepare for molecular breakdown! 🔥
Indicador Pine Script®
por AlchimistOfCrypto
Rate of Change HistogramExplanation of Modifications Converting ROC to Histogram: Original ROC: The ROC is calculated as roc = 100 * (source - source ) / source , plotted as a line oscillating around zero. Modification: Instead of plotting roc as a line, it’s now plotted as a histogram using style=plot.style_columns. This makes the ROC values visually resemble the MACD histogram, with bars extending above or below the zero line based on momentum. Applying MACD’s Four-Color Scheme: Logic: The histogram’s color is determined by: Above Zero (roc >= 0): Bright green (#26A69A) if ROC is rising (roc > roc ), light green (#B2DFDB) if falling (roc < roc ). Below Zero (roc < 0): Bright red (#FF5252) if ROC is falling (roc < roc ), light red (#FFCDD2) if rising (roc > roc ). Implementation: Used the exact color logic and hex codes from the MACD code, applied to the ROC histogram. This highlights momentum ebbs (falling ROC, fading waves) and flows (rising ROC, strengthening waves). Removing Signal Line: Unlike the previous attempt, no signal line is added. The histogram is purely the ROC value, ensuring it directly reflects price change momentum without additional smoothing, making it faster and more responsive to pulse waves, as you indicated ROC performs better than other oscillators. Alert Conditions: Added alerts to match the MACD’s logic, triggering when the ROC histogram crosses the zero line: Rising to Falling: When roc >= 0 and roc < 0, signaling a potential wave peak (e.g., end of Wave 3 or C). Falling to Rising: When roc <= 0 and roc > 0, indicating a potential wave bottom (e.g., start of Wave 1 or rebound). These alerts help identify transitions in 3-4 wave pulse patterns. Plotting: Histogram: Plotted as columns (plot.style_columns) with the four-color scheme, directly representing ROC momentum. Zero Line: Kept the gray zero line (#787B86) for reference, consistent with the MACD. Removed ROC Line/Signal Line: Since you want the ROC to act as the histogram itself, no additional lines are plotted. Inputs: Retained the original length (default 9) and source (default close) inputs for consistency. Removed signal-related inputs (e.g., signal_length, sma_signal) as they’re not needed for a pure ROC histogram. How This ROC Histogram Works for Wave Pulses Wave Alignment: Above Zero (Bullish Momentum): Positive ROC bars indicate flows (e.g., impulse Waves 1, 3, or rebounds in Wave B/C). Bright green bars show accelerating momentum (strong pulses), while light green bars suggest fading momentum (potential wave tops). Below Zero (Bearish Momentum): Negative ROC bars indicate ebbs (e.g., corrective Waves 2, 4, A, or C). Bright red bars show increasing bearish momentum (strong pullbacks), while light red bars suggest slowing declines (potential wave bottoms). 3-4 Wave Pulses: In a 3-wave A-B-C correction: Wave A (down) shows bright red bars (falling ROC), Wave B (up) shows bright/light green bars (rising ROC), and Wave C (down) shifts back to red bars. In a 4-wave consolidation: Alternating green/red bars highlight the rhythmic ebbs and flows as momentum oscillates. Timing: Zero-line crossovers mark wave transitions (e.g., from Wave 2 to Wave 3). Color changes (e.g., bright to light green) signal momentum shifts within waves, helping identify pulse peaks/troughs. Advantages Over MACD: The ROC histogram is more responsive than the MACD histogram because ROC directly measures price change percentage, while MACD relies on moving average differences, which introduce lag. This makes the ROC histogram better for capturing rapid 3-4 wave pulses, as you noted. Example Usage For a stock with 3-4 wave pulses on a 5-minute chart: Wave 1 (Flow): ROC rises above zero, histogram turns bright green (rising momentum), indicating a strong bullish pulse. Wave 2 (Ebb): ROC falls below zero, histogram shifts to bright red (falling momentum), signaling a corrective pullback. Wave 3 (Flow): ROC crosses back above zero, histogram becomes bright green again, confirming a powerful pulse. Wave 4 (Ebb): ROC dips slightly, histogram turns light green (falling momentum above zero) or light red (rising momentum below zero), indicating consolidation. Alerts trigger on zero-line crosses (e.g., from Wave 2 to Wave 3), helping time trades. Settings Recommendations Default (length=9): Works well for most time frames, balancing sensitivity and smoothness. Intraday Pulses: Use length=5 or length=7 for faster signals on 5-minute or 15-minute charts. Daily Charts: Try length=12 or length=14 for broader wave cycles. Testing: Apply to a stock with clear wave patterns (e.g., tech stocks like AAPL or TSLA) and adjust length to match the pulse frequency you observe. Notes Confirmation: Pair the ROC histogram with price action (e.g., Fibonacci retracements, support/resistance) to validate wave counts, as momentum oscillators can be noisy in choppy markets. Divergences: Watch for divergences (e.g., price makes a higher high, but ROC histogram bars are lower) to spot wave reversals, especially at Wave 3 or C ends. Comparison to MACD: The ROC histogram is faster and more direct, making it ideal for short-term pulse waves, but it may be more volatile, so use with technical levels for precision.
Indicador Pine Script®
por Coulisnosaj
Gold/Silver RatioOverview This indicator displays the Gold/Silver Ratio by dividing the price of gold (XAUUSD) by the price of silver (XAGUSD) on the same timeframe. It is a widely used tool in macroeconomic and precious metals analysis, helping traders and investors evaluate the relative value of gold compared to silver. 📈 What it does Plots the ratio between gold and silver prices as a line on the chart. Displays two key horizontal levels: Overbought level at 90 (dashed red line). Oversold level at 70 (dashed green line). Highlights the chart background to show extreme conditions: Red shading when the ratio exceeds 90 (gold is likely overvalued relative to silver). Green shading when the ratio drops below 70 (silver is likely overvalued relative to gold). 🧠 How to Use When the ratio exceeds 90, it suggests that gold may be overbought or silver may be undervalued. Historically, these have been good times to consider shifting exposure from gold to silver. When the ratio falls below 70, it may indicate silver is overbought or gold is undervalued. This tool is best used in conjunction with technical analysis, macroeconomic trends, or RSI/Bollinger Bands applied to the ratio. ⚙️ Inputs This version of the script uses OANDA's XAUUSD and XAGUSD pairs for spot gold and silver prices. You may edit the request.security() calls to change data sources (e.g., FXCM, FOREXCOM, or CFD tickers from your broker). ✅ Best For: Macro traders Commodity investors Ratio and spread traders Long-term portfolio reallocators
Indicador Pine Script®
por Slavtrad
Amazone VMC Stratégie1. Core Oscillator (“Hyper Wave”) Calculates an oscillator from price’s position in its recent high/low range, smoothed by a user-selectable SMA or EMA. Plotted on the chart, with customizable colors and transparency. 2. Divergence Detection Identifies bullish/bearish divergences between price and the oscillator when the oscillator makes a lower low/higher high that isn’t confirmed by price. Draws trendlines on the chart and flags confirmed divergences for extra conviction. 3. Smart Money Flow (SMF) Computes a modified Money Flow Index (MFI) to gauge “smart” buying or selling pressure. Shows positive or negative SMF readings, with custom colors, and tracks recent extreme values for confluence. 4. Confluence & Reversal Signals Highlights zones where oscillator and SMF agree (both bullish or both bearish). Generates special “reversal” markers when volume surges and short-term RSI conditions align, for high-quality turn signals. 5. Advanced Filters Optional volume filter: requires current volume to exceed a multiple of its 20-bar average. Trend filter: only take signals in the direction of a fast EMA vs. a longer EMA. ATR/volume filter: ensures volatility (ATR) is sufficient relative to its 14-bar average. 6. Entry & Exit Logic Multiple entry modes: any signal, crossovers only, threshold rebounds, or fully validated signals. Exit either on an opposite signal, reaching upper/lower oscillator thresholds, or both. Supports fixed Stop Loss, Take Profit, and optional trailing stops. 7. Visuals & History Table Draws buy/sell levels, stop-loss/take-profit markers, and entry/exit icons on the chart. At each bar’s close, an on-chart table summarizes the last signals, current position, P/L, trend, oscillator/MFI values, and confluence score.
Estratégia Pine Script®
por Amazonecrypto
V-TrendV-Trend — Core Edition Overview V-Trend is a lightweight trend-following study that plots a single, zero-lag (yes zero lag) baseline and—optionally—colors candles to match the prevailing direction. The script focuses on clarity and responsiveness rather than heavy-weight signal generation, making it a practical companion to existing strategies or discretionary analysis. How it works Component Purpose Notes Core Smoother Calculates a phase-adjustable moving average designed to minimise lag while retaining smoothness. • Fixed length or simple autocorrelation-driven length • Phase control (-100 to +100) lets you bias the line forward/backward for earlier or more conservative transitions Neon Layers (optional) Adds up to ten semi-transparent “glow” layers around the baseline for improved visual separation on dark or busy charts. Zero impact on calculations – purely cosmetic Candle Modes 1. Trend Only – leaves native candles unchanged Colored Candles – fills candles with the current trend colour Hollow Outline – keeps candle bodies transparent while tinting outlines | Intended for quick chart-wide context without hiding price action | Inputs Group Key Settings Default Core Smoother - Calculation Type (Fixed / Autocorrelation) Trend Length (2–200) Phase Shift (-100 … +100) Price Source | Fixed, 30, 0, Close | | Visuals / Neon | Enable Glow, Glow Layers (1–10), Line Width, Long / Short Colors | Glow on, 5 layers, 3px | | Candles | Candle Mode (Trend Only / Colored / Hollow) | Colored Candles | Reading the indicator Trend Direction: Green baseline = bullish bias; red = bearish bias. Crossovers: A simple way to define a regime change is when the baseline flips colour (core > core implies bullish). Phase Shift: Positive values move the line forward for faster—but less filtered—signals; negative values delay confirmation. Adaptive Length (Autocorrelation mode): Length adjusts between 8 and 48 bars based on short-term price rhythm, providing a dynamic balance between noise suppression and reactivity. Typical use-cases Primary trend filter – Combine with momentum or oscillator entries; only trade in the direction of the baseline. Discretionary confirmation – Overlay on higher-timeframe charts to validate lower-timeframe signals. Visual dashboard – Activate neon layers or candle coloring for at-a-glance market bias during fast markets. Limitations & good practice The script does not generate trade signals or manage risk. Treat the baseline as contextual information, then apply your own entry/exit rules and position sizing. As with any trend filter, effectiveness varies across instruments and market conditions. Validate parameters with walk-forward or out-of-sample testing before live deployment. Past performance is not indicative of future results; use in conjunction with robust risk management. Version: 2025-04-27 (Pine v6) Author: Sage © 2025 This indicator is provided “as-is” for educational purposes only and does not constitute financial advice.
Indicador Pine Script®
por Sageideas
Future Candle Reversal Projection (Mastersinnifty)Overview This tool identifies potential future market reversal zones by dynamically projecting pivot-based swing patterns forward in time. Unlike traditional ZigZag indicators that only reflect past movements, this indicator anticipates probable future turning points based on historical swing periodicity. --- Key Features - Forward Projections: Calculates and projects future swing zones based on detected pivot distances. - Customizable Detection: Adjust the ZigZag depth for different trading styles (scalping, swing, position). - Dynamic Updates: Real-time recalibration as new pivots form. - Clean Visual Markers: Projects reversal estimates as intuitive labels and dotted lines. --- How it Works The indicator identifies significant swing highs and lows using a user-defined ZigZag depth setting. It measures the time (bars) and price characteristics of the latest swing movement. Using this pattern, it projects forward estimated reversal points at consistent intervals. Midpoint price levels between the last high and low are used for each future projection. --- Who Can Benefit - Intraday and swing traders seeking advanced planning zones. - Technical analysts relying on pattern periodicity. - Traders who wish to combine projected reversal markers with their own risk management strategies. --- Disclaimer This tool is an analytical and educational utility. It does not predict markets with certainty. Always combine it with your own analysis and risk management. Past behavior does not guarantee future results.
Indicador Pine Script®
por Mastersinnifty
Trend_Oscillator This indicator is a custom oscillator designed for trend identification and potential trade signals. Here's a breakdown of its functionality and potential trading applications: Key Components Overbought/Oversold Levels: Default at +100 and -100 Signal Line: Smoothed version (14-period SMA) of the oscillator Visual Aids: Background coloring in overbought/oversold zones (Alert Conditions: For zone entries/exits and signal line crosses) Trading Applications Potential Entry Signals Oversold Zone Entry and Bounce: When oscillatorValue crosses below -100 (oversold level), then turns back up This suggests a potential long entry as the oversold condition may be reversing Overbought Zone Entry and Reversal: When oscillatorValue crosses above +100 (overbought level), then turns back down This suggests a potential short entry as the overbought condition may be reversing Signal Line Crossovers: When oscillatorValue crosses above signal line = bullish signal (potential long) When oscillatorValue crosses below signal line = bearish signal (potential short) Zero Line Crosses: When oscillatorValue crosses above zero = trend turning bullish When oscillatorValue crosses below zero = trend turning bearish
Indicador Pine Script®
por SanttoshPDani
Atlas Trend RsiAtlas Trend RSI – User Guide 1. Indicator Purpose Atlas Trend RSI combines a classic RSI oscillator on the average price with optional smoothing, color-coded zones, and automatic pivot signals. It highlights overbought/oversold extremes, neutral ranges, and divergence-based profit-taking points. 2. Inputs & Configuration Timeframe: Select a higher or lower timeframe RSI to overlay on your chart. Leave blank to match the chart’s timeframe. Period: The length of the RSI calculation (default 14). Shorter values increase sensitivity; longer values smooth the line. MA Type (SMA/EMA/RMA/WMA/VWMA): When “Average” is enabled, this applies a moving average to the RSI to filter noise. Show Average: Toggle on to plot the smoothed RSI line. Use in ranging markets to reduce false signals. Show Divergence Line: Toggles drawing of a line connecting RSI pivot highs/lows to help you spot hidden or regular divergence. 3. Colored Zones & Interpretation 10–40 (Oversold Zone): Shade in red. Watch for bullish reversals when RSI turns up from this area. 40–60 (Neutral Zone): Light gray. Indicates consolidation—no strong trend. 60–90 (Overbought Zone): Shade in green. Watch for bearish reversals when RSI turns down from this area. Mid-zone (50 line): A break above/below 50 can confirm a shift from bearish to bullish momentum or vice versa. 4. Signal Tables & Emojis Top-right: Bull 🐂, Bear 🐻 or Scale ⚖️ emoji appears when RSI pivot conditions trigger: 🐂 when a profitable long-exit (RSI peaked and turned down above overbought). 🐻 when a profitable short-exit (RSI troughed and turned up below oversold). ⚖️ when no clear pivot. Bottom-right: Displays the current RSI value in parentheses for at-a-glance monitoring. 5. Alert Conditions Two built-in alerts are available: Long Profit-Take: Fires when RSI turns down after reaching your overbought threshold. Short Profit-Take: Fires when RSI turns up after reaching your oversold threshold. To enable, open the Alerts dialog, select “Atlas Trend RSI,” then choose “Long Profit-Take” or “Short Profit-Take.” 6. Recommended Usage Trend Confirmation: In a strong uptrend, use dips into the 40–60 zone as buy opportunities; exits when you see the 🐂 alert. Range Trading: In sideways markets, buy near the 10–20 level and sell near the 80–90 level, using the average line to filter noise. Divergence Spotting: Enable “Divergence Line” to draw lines between price swings and RSI swings—look for hidden divergence (supports trend) or regular divergence (signals reversal). Multi-TF Analysis: Apply a 4-hour RSI on a 1-hour chart to see the higher-TF momentum context. 7. Disclaimers For educational purposes only; not financial advice. Past performance does not guarantee future results. Use these explanations in your TradingView publish dialog under “How to use” or “Usage.” Traders will immediately understand what each colored zone, emoji, and alert means and how to apply Atlas Trend RSI in their strategies.
Indicador Pine Script®
por AtlasTrend
Smart Money WaveTrendSmart Money WaveTrend 🚀 Unlock the power of momentum with Smart Money WaveTrend — a next-generation oscillator crafted for precision entries and exits. This enhanced WaveTrend tool blends classic market structure with modern smart money concepts, giving traders a powerful edge. 🔹 Key Features: WaveTrend Oscillator with customizable sensitivity for any market condition. Dynamic Signal Coloring — instantly spot shifts with vibrant blue (bullish) and yellow (bearish) signal lines. Emoji Signals 🚀🚨 — get visual alerts right on the chart for bullish and bearish setups. Volume Spike Detection — confirm entries with smart volume analysis. Overbought / Oversold Zones — clean static reference lines for better decision-making. Optimized for Speed — no clutter, no distractions — just high-probability signals. 🎯 Designed For: Traders who want early reversal signals. Smart money strategies focusing on momentum shifts. Anyone who values clarity, speed, and accuracy in their trading toolkit. Trust the waves. Follow the smart money. Ride the momentum. 🌊
Indicador Pine Script®
por choppingpips_
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Indicador Pine Script®
por Raisontgh