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M-oscillator

Dual-Phase Trend Regime Oscillator (Zeiierman)█ Overview Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility. By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in —Bullish or Bearish —and how that regime reacts to market volatility. █ Its Uniqueness Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases. Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time. █ How It Works ⚪ Volatility State Engine Calculates returns-based volatility using standard deviation of price change Smooths the current volatility with a moving average Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones Dynamically assigns the chart to one of two internal volatility regimes: Low or High ⚪ Dual Oscillators In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother) In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive) Both oscillators use price-time correlation as a measure of directional strength The output is normalized between 0 and 1, allowing for consistent interpretation ⚪ Trend Regime Classification The active oscillator is compared to a neutral threshold (0.5) If above: Bullish Regime, if below: Bearish Regime, else: Neutral The background and markers update to reflect regime changes visually Triangle markers highlight bullish/bearish regime shifts █ How to Use ⚪ Identify Current Trend Regime Use the background color and chart table to immediately recognize whether the market is trending up or down. ⚪ Trade Regime Shifts Use triangle markers (▲ / ▼) to spot fresh regime entries, which are ideal for confirming breakouts within trends. ⚪ Pullback Trading Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it — this often signals a potential pullback entry in the direction of the prevailing trend. █ Settings Explained Length (Slow Trend Oscillator) – Used in calm conditions. Longer = smoother signals Length (Fast Trend Oscillator) – Used in volatile conditions. Shorter = more responsive Volatility Refit Interval – Controls how often the system recalculates Low/High volatility levels Current Volatility Period – Lookback used for immediate volatility measurement Volatility Smoothing Length – Applies an SMA to the raw volatility to reduce noise ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® göstergesi
Zeiierman tarafından
6
Trend Following Bundle [ActiveQuants]The Trend Following Bundle indicator is a comprehensive toolkit designed to equip traders with a suite of essential technical analysis tools focused on identifying , confirming , and capitalizing on market trends . By bundling popular indicators like Moving Averages , MACD , Supertrend , ADX , ATR , OBV , and the Choppiness Index into a single script, it streamlines chart analysis and enhances strategy development. This bundle operates on the principle that combining signals from multiple, complementary indicators provides a more robust view of market trends than relying on a single tool. It integrates: Trend Direction: Moving Averages, Supertrend. Momentum: MACD. Trend Strength: ADX. Volume Pressure: On Balance Volume (OBV). Volatility: Average True Range (ATR). Market Condition Filter: Choppiness Index (Trend vs. Range). By allowing users to selectively enable, customize, and view these indicators (potentially across different timeframes), the bundle facilitates nuanced and layered trend analysis. █ KEY FEATURES All-in-One Convenience: Access multiple core trend-following indicators within a single TradingView script slot. Modular Design: Easily toggle each individual indicator (MAs, MACD, Supertrend, etc.) On or Off via the settings menu to customize your chart view. Extensive Customization: Fine-tune parameters (lengths, sources, MA types, colors, etc.) for every included indicator to match your trading style and the specific asset. Multi-Timeframe (MTF) Capability: Configure each indicator component to analyze data from a different timeframe than the chart's, allowing for higher-level trend context. Integrated Alerts: Pre-built alert conditions for key events like Moving Average crossovers , MACD signals , Supertrend flips , and Choppiness Index threshold crosses . Easily set up alerts through TradingView's alert system. When configuring your alerts in TradingView, pay close attention to the trigger option: - Setting it to " Only Once " will trigger the alert the first time the condition is met, which might happen during an unclosed bar (intra-bar). This alert instance will then cease. - Setting it to " Once Per Bar Close " will trigger the alert only after a bar closes if the condition was met on that finalized bar. This ensures signals are based on confirmed data and allows the alert to potentially trigger again on subsequent closing bars if the condition persists or reoccurs. Use this option for signals based on confirmed, closed-bar data. MA Smoothing & Bands (Optional): Apply secondary smoothing or Bollinger Bands directly to the Fast and Slow Moving Averages for advanced analysis. █ USER INPUTS Fast MA: On/Off: Enables/Disables the Fast Moving Average plot and related smoothing/bands. Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA. Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close. Length: Lookback period for the primary MA calculation. Default: 9. Color: Sets the color of the primary Fast MA line. Default: Yellow. Line Width: Sets the thickness of the primary Fast MA line. Default: 2. Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None. Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10. BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0. Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true. Slow MA: On/Off: Enables/Disables the Slow Moving Average plot and related smoothing/bands. Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA. Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close. Length: Lookback period for the primary MA calculation. Default: 9. Color: Sets the color of the primary Slow MA line. Default: Yellow. Line Width: Sets the thickness of the primary Slow MA line. Default: 2. Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None. Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10. BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0. Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true. MACD: On/Off: Enables/Disables the MACD plots (MACD line, Signal line, Histogram). Fast Length: Lookback period for the fast MA in MACD calculation. Default: 12. Slow Length: Lookback period for the slow MA in MACD calculation. Default: 26. Source: Input data for the MACD MAs. Default: close. Signal Smoothing: Lookback period for the Signal Line MA. Default: 9. Oscillator MA Type: Calculation type for Fast and Slow MAs (SMA, EMA). Default: EMA. Signal Line MA Type: Calculation type for Signal Line MA (SMA, EMA). Default: EMA. MACD Color: Color of the MACD line. Default: #2962FF. MACD Signal Color: Color of the Signal line. Default: #FF6D00. Timeframe: Sets a specific timeframe for the MACD calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. On Balance Volume (OBV): On/Off: Enables/Disables the OBV plot and its related MAs/Bands. Type (MA Smoothing): Selects MA type for smoothing OBV (None, SMA, EMA, etc.) or SMA + Bollinger Bands. Default: None. Length (MA Smoothing): Lookback period for the OBV smoothing MA. Default: 14. BB StdDev: Standard deviation multiplier for Bollinger Bands if selected. Default: 2.0. Color: Color of the main OBV line. Default: #2962FF. Timeframe: Sets a specific timeframe for the OBV calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. ADX: On/Off: Enables/Disables the ADX plot. ADX Smoothing: Lookback period for the ADX smoothing component. Default: 14. DI Length: Lookback period for the Directional Movement (+DI/-DI) calculation. Default: 14. Color: Color of the ADX line. Default: Red. Timeframe: Sets a specific timeframe for the ADX calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. ATR: On/Off: Enables/Disables the ATR plot. Length: Lookback period for the ATR calculation. Default: 14. Smoothing: Selects the calculation type for ATR (SMMA (RMA), SMA, EMA, WMA). Default: SMMA (RMA). Color: Color of the ATR line. Default: #B71C1C. Timeframe: Sets a specific timeframe for the ATR calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. Supertrend: On/Off: Enables/Disables the Supertrend plot and background fill. ATR Length: Lookback period for the ATR calculation within Supertrend. Default: 10. Factor: Multiplier for the ATR value used to calculate the Supertrend bands. Default: 3.0. Up Trend Color: Color for the Supertrend line and background during an uptrend. Default: Green. Down Trend Color: Color for the Supertrend line and background during a downtrend. Default: Red. Timeframe: Sets a specific timeframe for the Supertrend calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. Choppiness Index: On/Off: Enables/Disables the Choppiness Index plot and bands. Length: Lookback period for the Choppiness Index calculation. Default: 14. Offset: Shifts the plot left or right. Default: 0. Color: Color of the Choppiness Index line. Default: #2962FF. Timeframe: Sets a specific timeframe for the CI calculation. Default: Chart. Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true. █ STRATEGY EXAMPLES The following strategy examples are provided for illustrative and educational purposes only to demonstrate how indicators within this bundle could be combined. They do not constitute financial advice or trading recommendations. Always conduct your own thorough research and backtesting before implementing any trading strategy. Here are a few ways the indicators in this bundle can be combined: 1. MA Crossover with Multi-Factor Confirmation Goal: Enter trends early with confirmation from momentum and trend strength, while filtering out choppy conditions. Setup: Enable Fast MA (e.g., 9 EMA), Slow MA (e.g., 50 EMA), MACD, ADX, and Choppiness Index. Entry (Long): - Price > Slow MA (Establishes broader uptrend context). - Fast MA crosses above Slow MA OR Price crosses above Fast MA. - MACD Histogram > 0 (Confirms bullish momentum). - ADX > 20 or 25 (Indicates sufficient trend strength). - Choppiness Index < 61.8 (Filters out excessively choppy markets). Entry (Short): Reverse logic (except for ADX and Choppiness Index). Management: Consider using the Supertrend or an ATR multiple for stop-loss placement. Image showing a chart with 2:1 long and short trades, highlighting a candle disqualified for a long entry due to ADX below 20. 2. Supertrend Breakout Strategy Goal: Use Supertrend for primary signals and stops, confirming with volume and trend strength. Setup: Enable Supertrend, Slow MA, ADX, and OBV. Entry (Long): - Supertrend line turns green and price closes above it. - Price > Slow MA (Optional filter for alignment with larger trend). - ADX is rising or above 20 (Confirms trending conditions). - OBV is generally rising or breaks a recent resistance level (Confirms volume supporting the move). Entry (Short): Reverse logic (except for ADX and OBV). Management: Initial stop-loss placed just below the green Supertrend line (for longs) or above the red line (for shorts). Trail stop as Supertrend moves. Image showing a chart with a 2:1 long trade, one candle disqualified for a short entry, and another disqualified for a long entry. 3. Trend Continuation Pullbacks Goal: Enter established trends during pullbacks to value areas defined by MAs or Supertrend. Setup: Enable Slow MA, Fast MA (or Supertrend), MACD, and ADX. Entry (Long): - Price is consistently above the Slow MA (Strong uptrend established). - ADX > 25 (Confirms strong trend). - Price pulls back towards the Fast MA or the green Supertrend line. - MACD Histogram was decreasing during the pullback but turns positive again OR MACD line crosses above Signal line near the MA/Supertrend level (Indicates momentum resuming). Entry (Short): Reverse logic (except for ADX) during a confirmed downtrend. Management: Stop-loss below the recent swing low or the Slow MA/Supertrend level. Image showing a chart with 2:1 long and short trades, where price pulls back to the fast MA and the MACD histogram changes color, indicating shifts in momentum during the pullbacks. █ CONCLUSION The Trend Following Bundle offers a powerful and flexible solution for traders focused on trend-based strategies. By consolidating essential indicators into one script with deep customization, multi-timeframe analysis, and built-in alerts, it simplifies the analytical workflow and allows for the development of robust, multi-conditional trading systems. Whether used for confirming entries, identifying trend strength, managing risk, or filtering market conditions, this bundle provides a versatile foundation for technical analysis. █ IMPORTANT NOTES ⚠ Parameter Tuning: Indicator settings (lengths, factors, thresholds) are not one-size-fits-all. Adjust them based on the asset being traded, its typical volatility, and the timeframe you are analyzing for optimal performance. Backtesting is crucial . ⚠ Multi-Timeframe Use: Using the Timeframe input allows for powerful analysis but be mindful of potential lag, especially if Wait TF Close is disabled. Signals based on higher timeframes will update only when that higher timeframe bar closes (if Wait TF Close is enabled). ⚠ Confirmation is Key: While the bundle provides many tools, avoid relying on a single indicator's signal. Use combinations to build confluence and increase the probability of successful trades. ⚠ Chart Clarity: With many indicators available, only enable those relevant to your current strategy to avoid overwhelming your chart. Use the On/Off toggles frequently. ⚠ Confirmed Bars Only: Like most TradingView indicators, signals and plots are finalized on the close of the bar. Be cautious acting on intra-bar signals which may change before the bar closes. █ RISK DISCLAIMER Trading involves substantial risk of loss and is not suitable for every investor. The Trend Following Bundle indicator provides technical analysis tools for educational and informational purposes only; it does not constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough analysis, use multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results. 📊 Happy trading! 🚀
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ActiveQuants tarafından
COT3 - Flip Strength Index - Invincible3This indicator uses the TradingView COT library to visualize institutional positioning and potential sentiment or trend shifts. It compares the long% vs short% of commercial and non-commercial traders for both Pair A and Pair B, helping traders identify trend strength, market overextension, and early reversal signals. 🔷 COT RSI The COT RSI normalizes the net positioning difference between non-commercial and commercial traders over (N=13, 26, and 52)-week periods. It ranges from 0 to 100, highlighting when sentiment is at bullish or bearish extremes. COT RSI (N)= ((NC - C)−min)/(max-min) x100 🟡 COT Index The COT Index tracks where the current non-commercial net position lies within its 1-year and 3-year historical range. It reflects institutional accumulation or distribution phases. Strength represents the magnitude of that positioning bias, visualized through normalized RSI-style metrics. COT Index (N)= (NC net)/(max-min) x100 🔁 Flip Detection Flip refers to the crossovers between long% and short%, indicating a change in directional bias among trader groups. When long positions exceed shorts (or vice versa), it signals a possible market flip in sentiment or trend. For example, Pair B commercial flip is calculated as: Long% = (Long/Open Interest)×100 Short% = (Short/Open Interest)×100 Flip = Long%−Short% A bullish flip occurs when long% overtakes short%, and vice versa for a bearish flip. These flips often precede price trend changes or confirm sentiment breakouts. Flip captures how far current positioning deviates from historical norms — highlighting periods of institutional overconfidence or exhaustion, often leading to significant market turns. This combination offers a multi-layered edge for identifying when smart money is flipping direction, and whether that flip has strong conviction or is likely to fade. ..........................................................................................................................................................
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invincible3 tarafından
2
Schaff Trend Cycle (STC) - t0rdn3Schaff Trend Cycle (STC) By t0rdn3 (original STC by , now with more descriptive naming) Description The Schaff Trend Cycle (STC) is a momentum-based oscillator that combines the speed of a fast EMA crossover with cyclical normalization. Developed by Doug Schaff, it identifies market turning points more responsively than MACD or RSI. How It Works 1. EMA Difference : Calculates the difference between two EMAs of the source series (default: close). 2. Cycle Percentage : Normalizes that difference to a 0–100 range over the cycle period. 3. Smoothing : Applies exponential smoothing twice—first to the cycle percentage, then to its normalized cycles—to reduce noise. 4. Final STC Line : Produces a smoothed oscillator oscillating between 0 and 100. Alerts - "STC turned down above 75" : Fires once when STC makes a local peak above the upper threshold ( 75 ). - "STC turned up below 25" : Fires once when STC makes a local trough below the lower threshold ( 25 ). Inputs Cycle Period : 12 — Lookback in bars for normalization Fast EMA Length : 26 — Period of the fast EMA Slow EMA Length : 50 — Period of the slow EMA Smoothing Factor : 0.5 — Exponential smoothing coefficient (0–1) Usage Readings above 75 indicate an overbought cycle; readings below 25 indicate an oversold cycle. Crossings of the 50 midline can confirm trend direction: - STC rising through 50 → bullish shift - STC falling through 50 → bearish shift Combine STC with price action or other trend filters to improve signal quality. You can adjust the cycle period and EMA lengths to match different timeframes or instruments.
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t0rdn3 tarafından
Hippo Battlefield - Bulls VS Bears 20 bars## Hippo Battlefield – Bulls VS Bears (20 Bars) **What it is** A multi-dimensional momentum-and-sentiment oscillator that combines classic Bull/Bear Power with ATR- or peak-normalization, then layers on RSI and MACD-derived metrics into: 1. **A colored bar series** showing net Bull+Bear Power strength over the last 20 bars, 2. **A dynamic table** of each of those 20 BBP values (grouped into four 5-bar “quartals”), with symbols, per-bar change, and rolling averages, and 3. **A composite “Weighted BBP” histogram** blending normalized RSI, MACD, and BBP into a single view. --- ### Key Inputs - **Length (EMA)** – look-back for the underlying EMA (default 60) - **Normalization Length** – look-back window for peak-normalization (default 60) - **Use ATR for Norm.** – toggle ATR-based normalization vs. highest-abs(BBP) - **Show Tables** – toggle the bottom-right 21×11 grid of raw and average BBP values --- ### What You See #### 1. Colored Bars (Overlay = false) - Bars are colored by normalized BBP intensity: - Extreme Bull (≥+10): deep blue - Strong Bull (+5 to +10): green/yellow - Weak Bull (+0 to +5): dark green - Weak Bear (–0 to –5): dark red - Strong Bear (–5 to –10): pink/red - Extreme Bear (<–10): magenta #### 2. Bottom-Right Table (20 Bars of Data) - Divided into four columns (0–4, 5–9, 10–14, 15–19 bars ago) and one “average” row. - Each cell shows: 1. Bar index (1–20), 2. Normalized BBP value (to four decimals), 3. Direction symbol (↑/↓/=), 4. Bar-to-bar change (± value), 5. A separator “|”. - At the very bottom, each column’s 5-bar average is displayed as “Avg: X.XXXX” with a dot marker. #### 3. Top-Center Mini-Table - When ≥20 bars have elapsed, shows the date at 20 bars ago and the average BBP across the full 20-bar window. #### 4. Normalized RSI Line - Rescales the classic 14-period RSI into a –20…+20 band to align with BBP. #### 5. MACD Lines (Hidden) & Composite Histogram - MACD and signal lines are calculated but not plotted by default. - A “Weighted BBP” histogram combines: - 20% normalized RSI, - 20% average of (MACD + signal + normalized BBP), - 60% normalized BBP - Plotted as columns, color-coded by strength using the same palette as the main bars. #### 6. Middle Reference Line - A horizontal zero line to anchor over/under-zero readings. --- ### How to Use It - **Trend confirmation**: Strong blue/green bars alongside a rising histogram suggest bull conviction; strong reds/magentas signal bear dominance. - **Divergence spotting**: Watch for price making new highs/lows while BBP or the histogram fails to follow. - **Quartal analysis**: The 5-bar group averages can reveal whether recent momentum is accelerating or waning. - **Cross-indicator weighting**: Because RSI, MACD, and raw BBP all feed into the final histogram, you get a smoothed, blended view of momentum shifts. --- **Tip:** Tweak the EMA and normalization length to suit your preferred timeframe (e.g. shorter for intraday scalps, longer for swing trades). Enable/disable the table if you prefer a cleaner pane.
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The_Real_Hippopotamus tarafından
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.
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Coulisnosaj tarafından
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
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Slavtrad tarafından
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
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Titans_Invest tarafından
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.
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Mastersinnifty tarafından
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.
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AlphaExtract tarafından
Paul_BDT Osc. CHOPOverview: This indicator is an advanced multi-timeframe Choppiness Index tool, designed to help assess market conditions across various timeframes simultaneously. It assists in identifying whether the market is in a trending or ranging (choppy) phase, enhancing decision-making for both scalping and intraday strategies. This script integrates: • Choppiness Index computation (with EMA smoothing and Bollinger Bands). • Multi-timeframe analysis (preset scalping/intraday setups or manual selection). • Visual aids (color-coded plots, labels, and background highlights). • Alert mechanisms for key conditions (choppy breakouts and trends). ⸻ Key Features & Functionalities: 1. Choppiness Index Calculation: • The Choppiness Index (CHOP) quantifies market volatility—whether price action is consolidating (high CHOP values) or trending (low CHOP values). • Formula: \text{CHOP} = 100 \times \frac{\log\left(\frac{\sum \text{True Range}}{\text{High}{\text{max}} - \text{Low}{\text{min}}}\right)}{\log(\text{Period})} • It is smoothed with an Exponential Moving Average (EMA) for stability. • Bollinger Bands are applied to the CHOP for dynamic range visualization. ⸻ 2. Multi-Timeframe Support: • Preset Modes: • Scalping Setups: 1min, 3min, 5min, 15min. • Intraday Setups: 15min, 30min, 1H, 4H. • Manual Configuration: Three customizable timeframes (e.g., daily, 3-day, weekly). • Dynamic Display: Traders can choose which timeframes to visualize and whether to display labels with timeframe identifiers. ⸻ 3. Visualization Aids: • Plots: • Primary CHOP with Bollinger Bands on the current chart’s timeframe (UT). • Additional CHOP plots across selected timeframes, color-coded for easy differentiation. • Labels: • Labels are displayed on the chart for each timeframe, showing the CHOP value and its corresponding timeframe. • These labels refresh every bar for clarity. • Background Highlights: • Signals choppy breakouts with a yellow overlay when the CHOP crosses below both its EMA and a set threshold (default: 50). ⸻ 4. Alert System: Two main alert types are built-in: • Choppy Trend Alerts: Triggered when the CHOP crosses below the threshold (e.g., 50), signaling a potential shift toward a trending market. • Choppy Spike Alerts: Activated when CHOP crosses below both its EMA and the threshold within a single candle—indicative of sudden shifts in market conditions. • Alerts include: • Directional bias (Long or Short based on candle close). • Open/close levels. • Stop-loss reference (previous bar’s high/low). • Timestamp in the chosen time zone. ⸻ Strategic Application: • Ranging Markets: • CHOP values above threshold indicate high choppiness (consolidation). • Suitable for range-bound strategies (mean reversion, scalping inside ranges). • Trending Markets: • CHOP values below threshold signal trending phases. • Optimal for momentum or breakout strategies. • Multi-Timeframe Edge: • Cross-referencing CHOP conditions across multiple timeframes helps confirm higher probability setups. • E.g., alignment between intraday and higher timeframes enhances confidence in trend continuations or reversals. • Choppy Spikes: • The spike detection (cross below both EMA and threshold within one candle) flags rapid transitions—potential breakout or breakdown scenarios. ⸻ Customization : • Adapt CHOP period length and threshold based on asset volatility. • Configure specific timeframes matching your strategy (scalping, intraday, swing). • Enable or disable visual components (labels, background highlights, alerts) for a cleaner interface. ⸻ Conclusion: This indicator provides a comprehensive and adaptable tool to monitor market structure dynamics across multiple timeframes. It’s particularly effective in discerning the right trading environment—whether to engage in trend-following or range-bound strategies. The integration of visual cues and proactive alerts ensures being informed of critical market transitions, enhancing timing and risk management.
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Paul_BDT tarafından
[blackcat] L1 Bollinger Bands Width WatcherOVERVIEW The Bollinger Bands Width Watcher is an advanced tool designed to monitor the width of Bollinger Bands, providing insights into market volatility and potential trend reversals. This indicator calculates both absolute and relative widths of the bands, plotting them on the chart for easy visualization. It also generates buy and sell signals based on crossover events, helping traders make informed decisions 📊✅. Today, this article introduces the final member of the Bollinger Bands trio—Bollinger Bands Width (BBW). Derived from the renowned Bollinger Bands, this indicator measures price volatility and identifies trading signals. First, let’s delve into what Bollinger Bands are. They consist of three lines associated with the price of a security: The middle line is typically a 20-day Simple Moving Average (SMA). The upper and lower bands represent two standard deviations above and below the middle band. The Bollinger Bands Width measures the distance between these upper and lower bands. Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band Calculating BBW involves subtracting the lower band from the upper band and dividing by the middle band to obtain the BBW value. However, interpreting BBW values alone isn't enough to determine if they're narrow or wide. Different instruments or timeframes might define narrowness differently. To gauge the significance of band narrowing accurately, analyzing past BBW fluctuations alongside price movements is essential. One prominent theory involving Bollinger Bands is the "squeeze." A squeeze setup comprises two phases: Low volatility, where bands narrow, and prices move sideways. Increased volatility, where prices breach either the upper or lower band, initiating a new trend. During a bullish squeeze, BBW diminishes, and breaking above the upper band signals a new uptrend. Conversely, in a bearish squeeze, BBW declines, and falling below the lower band indicates a new downtrend. While BBW excels at spotting squeezes, traders must exercise caution. Even with a squeeze setup, a robust market trend might not materialize. Validating breakouts necessitates personal judgment and additional confirmation techniques. Now, let's explore key parameters and settings: Length: Defines the period for computing the base SMA, defaulting to 20 days. Source: Specifies the data source per candle, defaulting to the closing price. Standard Deviation: Sets the number of standard deviations from the SMA for the upper and lower bands, defaulting to 2. FEATURES Calculates Bollinger Bands Width using customizable parameters: Smoothing Length: Number of bars used for calculating the moving average and standard deviation. Source Price: Defaults to closing prices but can be adjusted. Standard Deviation Multiplier: Controls the width of the bands. Plots two types of Bollinger Bands Width: Absolute width relative to the basis (Yellow Line). Relative width compared to the close price (Fuchsia Line). Fills the area between the two plotted lines for better visual context 🌈 Generates buy ('Buy') and sell ('Sell') labels based on crossover events 🏷️ Provides alerts for crossover signals to notify users of potential trade opportunities 🔔 HOW TO USE Add the indicator to your TradingView chart by selecting it from the indicators list. Adjust the Smoothing Length, Source Price, and Standard Deviation Multiplier as needed ⚙️. Observe the plotted Bollinger Bands Width lines and filled areas for insights into market volatility. Monitor the chart for buy and sell labels indicating potential trade opportunities. Set up alerts based on the generated signals to receive notifications when conditions are met 📲. LIMITATIONS The indicator may generate false signals in highly volatile or ranging markets 🌪️. Users should combine this indicator with other forms of analysis for more reliable trading decisions. The effectiveness of the indicator may vary depending on the asset and timeframe being analyzed. NOTES Ensure that you have sufficient historical data available for accurate calculations. Test the indicator thoroughly on demo accounts before applying it to live trading 🔍. Customize the appearance and parameters as needed to fit your trading strategy.
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blackcat1402 tarafından
RSI Strength & Consolidation Zones (Zeiierman)█ Overview RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement. Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities. █ Its uniqueness Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation. This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move. █ How It Works ⚪ Enhanced RSI Combines traditional RSI and a custom RSI implementation Smooths both through a Kalman filter for trend direction Final RSI line reflects smoothed consensus between manual and built-in RSI Adds an RSI + Strength overlay to show when the directional conviction is increasing ⚪ ADX-Driven Strength Layer Directional Movement Index (DMI) is calculated both manually and with built-in smoothing The average ADX value is used to calculate a strength modifier When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions ⚪ Consolidation Zone Detection When ADX falls below 20, the indicator enters a consolidation zone state Boxes are drawn dynamically to contain the price within these low-volatility structures Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼) ⚪ Breakouts Breakout markers are placed at the first close outside the consolidation box These signals serve as early indicators for potential trend continuation or reversal █ How to Use ⚪ Confirm Momentum Strength Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation. ⚪ Consolidations Zones When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout. ⚪ Use Breakout Signals for Entry Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks. █ Settings Explained RSI Length – Number of bars used for RSI. Shorter = more sensitive. DMI Length – Used in both custom and built-in ADX/DI calculations. ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection. Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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Zeiierman tarafından
9
Stochastics + CM Williams VixFix (Simple Buy Signal)📈 Stochastics + CM Williams VixFix (Simple Buy Signal) This indicator combines two powerful tools to detect potential bottoming opportunities: ✅ Stochastics: Looks for momentum reversals. A signal is triggered when both %K and %D are below the oversold threshold (default: 20), suggesting the asset is deeply oversold. ✅ CM Williams Vix Fix: A volatility-based fear detector. When it spikes above its dynamic threshold, it indicates potential panic selling — often preceding a market bounce. 💡 Buy Signal is generated when: %K and %D are both below 20 VixFix shows a volatility spike (green condition) Use this script to identify high-probability reversal setups, especially during market corrections or panic phases.
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aldofg tarafından
Dual Momentum OSCOverview: Momentum OSC is a dual-layered momentum oscillator that blends multi-timeframe momentum readings with moving average crossovers for deeper insight into trend acceleration and exhaustion. Perfect for confirming trend strength or spotting early shifts in momentum. Features: ✅ Two separate momentum streams with customizable timeframes ✅ Smoothing via moving averages for both momenta ✅ Cross-timeframe momentum structure for confirmation and divergence ✅ Color-coded areas for intuitive visual interpretation ✅ Optional crossover markers to signal bullish/bearish momentum shifts How It Works: The script calculates two momentum values by comparing current price sources against lagged values across separate timeframes. Each is smoothed with a moving average to filter noise. The difference between momentum and its moving average forms a core component of trend strength confirmation. Optional visual circles mark bullish or bearish crossovers. Customizable Inputs: Timeframes, sources, lengths, and MA periods for both momentum streams Toggle to display momentum cross signals (circles) Works on any asset or timeframe
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adamples01 tarafından
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy. Key Features Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime. Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations. 3-State Entropy: Assesses market uncertainty across up, down, and neutral states. Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC. Multi-Timeframe Alignment: Syncs with higher timeframe trends for context. Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling. How to Use and Interpret Histogram Interpretation Positive (Above Zero): Bullish momentum; color intensity shows trend strength. Negative (Below Zero): Bearish momentum; gradients indicate weakness. Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points. Regime Visualization Green Background: Trending market; prioritize momentum signals. Red Background: Mean-reverting market; focus on reversion signals. Blue Background: Neutral state; balance both signal types. Trading Signals Buy: Histogram crosses above zero or shows positive divergence between histograms. Sell: Histogram crosses below zero or exhibits negative divergence. Confirmation: Match signals with regime background—green for trends, red for ranges. Customization Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity. Adjust color themes and transparency to suit your charts. Tips for Optimal Use Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries. Pairing: Combine with RSI, MACD, or volume indicators for confirmation. Backtesting: Test settings on historical data for asset-specific optimization. Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals. Simulated Performance Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries. Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes. Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise. Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Pine Script® göstergesi
insidermike tarafından
SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator Version: PineScript™ v5 📌 Description The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100. This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities. Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions. 🚀 Points of Innovation Triple-timeframe synchronization in a single view eliminates chart switching Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets Dynamic color intensity that automatically increases with signal strength Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation Customizable signal thresholds to match your risk tolerance and trading style Visual alerts when markets reach full synchronization states 🔧 Core Components Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide Threshold System: Provides customizable levels for identifying potentially significant trading opportunities 🔥 Key Features Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states 🎨 Visualization Oscillator Line: The main line showing the synchronized trend value from -100 to +100 Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference Color Coding: Green for bullish synchronization, red for bearish synchronization 📖 Usage Guidelines Timeframe Settings Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition Trend Calculation Settings Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe MA Type: Default: EMA - Moving Average type when using MA vs Price method MA Length: Default: 21 - Moving Average period when using MA vs Price method RSI Length: Default: 14 - RSI period when using RSI method RSI Source: Default: close - Price data source for RSI calculation Oscillator Settings Smoothing Type: Default: SMA - Applies smoothing to the final oscillator Smoothing Length: Default: 5 - Period for the smoothing function Visual & Threshold Settings Up/Down Colors: Customize colors for bullish and bearish signals Transparency Range: Control how transparency changes with signal strength Line Width: Adjust oscillator line thickness Buy/Sell Thresholds: Set levels for potential entry/exit signals ✅ Best Use Cases Trend confirmation across multiple timeframes Finding high-probability entry points when all timeframes align Early detection of potential trend reversals Filtering trade signals from other indicators Market structure analysis Identifying potential divergences between timeframes ⚠️ Limitations Like all indicators, can produce false signals during choppy or ranging markets Works best in trending market conditions Should not be used in isolation for trading decisions Past performance is not indicative of future results May require different settings for different markets or instruments 💡 What Makes This Unique Combines three timeframes in a single visualization without requiring multiple chart windows Dynamic transparency feature that automatically emphasizes stronger signals Flexible trend definition methods suitable for different market conditions Visual system that makes multi-timeframe analysis intuitive and accessible 🔬 How It Works 1. Trend Evaluation: For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either: MA vs Price: Comparing close price to a moving average RSI: Determining if RSI is above or below 50 2. Score Aggregation: The three trend scores are combined and then scaled to a range of -100 to +100 A value of +100 indicates all timeframes show bullish conditions A value of -100 indicates all timeframes show bearish conditions Values in between indicate varying degrees of alignment 3. Signal Processing: The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed The final value determines line color, fill color, and transparency settings Threshold levels are applied to identify potential trading opportunities 💡 Note: The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
Pine Script® göstergesi
PhenLabs tarafından
Jinsu RSI 14### 🔍 **Jinsu RSI 14 – EMA 9 & WMA 45** **Description:** This custom indicator combines the classic RSI (Relative Strength Index) with two moving averages — EMA (Exponential Moving Average) and WMA (Weighted Moving Average) — applied directly to the RSI value to provide more nuanced momentum signals. ### 📊 **How It Works** - **RSI 14** measures market momentum and identifies overbought (above 70) or oversold (below 30) conditions. - **EMA 9 on RSI** responds quickly to short-term changes, signaling momentum shifts. - **WMA 45 on RSI** captures long-term sentiment, while placing more emphasis on recent data. ### 🧠 **Signal Interpretation** - **RSI crosses above EMA 9** → Possible bullish momentum shift. - **RSI falls below EMA 9** → Possible bearish momentum shift. - **EMA 9 crosses above WMA 45** → Strong bullish momentum. - **EMA 9 falls below WMA 45** → Strong bearish momentum. - **RSI is between EMA 9 & WMA 45** → Market may be consolidating or oscillating. ### 🎨 **Visual Enhancement** - The neutral zone (RSI between 30–70) is lightly shaded purple to reduce visual noise. - When **RSI > 70**, a green color appears and intensifies with higher RSI values, highlighting strong buying pressure. - All values are displayed with two decimal precision for clarity. This tool is ideal for trend-following traders and momentum-based strategies, helping you recognize early shifts in market sentiment with visual cues and cross confirmations.
Pine Script® göstergesi
JinsuReal tarafından
Mongoose Capital: FlowWave + Conviction Strip🟩 Indicator Name Mongoose Capital: FlowWave + Conviction Strip 📜 Short Description Smoothed Money Flow Oscillator with conviction scoring columns to assess flow strength. 🧠 Description (Long Form) The Mongoose Capital: FlowWave + Conviction Strip is a refined visualization of money flow dynamics designed to identify shifts in volume pressure and trend strength. This dual-panel indicator includes: • FlowWave Line — A smoothed momentum curve built from normalized money flow data, filtered through dual EMAs. Green (positive) and purple (negative) segments help traders quickly assess bias shifts. • Conviction Score Columns — A histogram below the zero line shows strength of flow deltas (momentum of volume pressure). Green/red bars appear when strength exceeds a critical threshold, while gray bars indicate low conviction. • Background Zone Coloring — Optional dark red/green gradient to enhance visibility of positive/negative phases. ✅ Designed for traders who value clarity and minimal noise ✅ Pairs well with macro trend filters or breakout strategies ✅ Built and published by Mongoose Capital 🔧 Default Settings Money Flow Length: 14 Signal Cooldown: 5 bars Source: HLC3 EMA Wave Filter: 3 Strength Threshold: 20 🧪 Suggested Use Confirm entries/exits in trend continuation setups Identify divergences between price and money flow Filter low-conviction trades using the histogram's gray zone Spot early accumulation or distribution through wave crossovers 📢 Author Published by: TheRealMongoose Powered by: Mongoose Capital Feel free to tag us in your setups.
Pine Script® göstergesi
TheRealMongoose tarafından
Scalp Strategy by Trade Journey📘 Trading Strategy: "Delta Flow Scalper" Author: @Trad_journey Type: Scalping / Intraday Timeframes: - Context: 1H - Entry Points: 15m --- 🎯 Core Idea We use a powerful tool — the Delta-RSI Oscillator (D-RSI), which calculates the derivative of RSI using polynomial regression. This oscillator doesn't just show the strength of price movement but reveals how that strength changes over time. By combining this with order flow analysis on the 1H timeframe, we can spot reversals and momentum bursts within a prevailing trend, where the D-RSI is most accurate. --- 🔍 Strategy Logic 1. Context (1H) Before entering a trade on the 15m chart, we determine: - The trend on 1H using candle structure, levels, EMAs, volume, VSA, and other methods. - Example: If 1H shows a series of higher highs/lows and rising volume — it indicates an uptrend. 2. Entry Signals (15m) Entry is based on the D-RSI, configured with manually optimized settings: - RSI Length: 14 - Polynomial Order: 2 - Window Length: 14 - Signal EMA: 7 - RMSE Filtering: Enabled, e.g., with a 10% threshold Entry Conditions (any of the following): - Zero-Crossing: Oscillator crosses above zero (long) or below zero (short) - Signal Line Cross: D-RSI crosses the signal EMA - Direction Change: Oscillator was below zero and starts rising (long), or vice versa 3. Trade Filter To improve accuracy: - Polynomial Approximation Error Filter (RMSE) is used — this eliminates noisy signals. - Ideally, confirm entries with a candlestick pattern or key level as well. --- 📈 Example of Entry Logic 1. On 1H: Clear uptrend, candles with long lower wicks, volume increasing 2. On 15m: D-RSI was below zero, sharply started rising and crossed the signal line from below 3. RMSE < 10% → signal confirmed 4. Enter long, place stop below local low + spread 5. Exit: - On opposite D-RSI signal - Or at a take profit (e.g., 1.5R or a key level) --- ⚙️ Settings () --- 📊 Why It Works - D-RSI captures momentum shifts and trend acceleration — these often occur before price changes. - RMSE filtering removes false signals during chop or weak movement. - Using a higher timeframe gives directional context — entries are made in the trend's direction, drastically increasing win probability. --- 🔔 Recommendations - Don’t use without higher timeframe context — countertrend signals can be unprofitable. - Best entries are after small pullbacks within a trend. - You can add an ATR/volatility filter — to avoid signals in tight ranges. --- ✅ Conclusion Delta Flow Scalper is a plug-and-play strategy for traders looking for precise intraday entries within larger moves. It's great for those wanting to reduce noise and trade smartly with momentum. Try it on demo, tweak it to fit your style — and go for it!
Pine Script® göstergesi
Trad_journey tarafından
MTF Stoch RSI Confluence + Combined AlertMTF STOCH RSI CONFLUENCE INDICATOR 1m/5m/15m ( Scalping Indicator added on SRSI 1H) IF all three Stoch are overbought(above 80) the indicator creates a red vertical line. If all Stoch are oversold(below 20) the indicator creates a green vertical line. RULES!!!! NEVER TRADE AGAINST THE TREND!!! This is super important!!!! If 1H SRSI is above 80 with MTF overbouht and ZC is red (Downtrend) then we open a MR Short- (Prefered at PA Spikes) The same for opposites MR Longs. If 1H SRSI is above 80 with the MTF oversold and ZC green then we can open a Long position. Prefered Momo Long. The same applies for opposite, hence momo short.
Pine Script® göstergesi
John_Kal tarafından