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WaveTrend RBF What it does WT-RBF extracts a “wave” of momentum by subtracting a fast Gaussian-weighted smoother from a slow one, then robust-normalizes that wave with a median/MAD proxy to produce a z-score (z). A short EMA of z forms the signal line. Optional dynamic thresholds use the MAD of z itself so overbought/oversold levels adapt to volatility regimes. How it’s built: Radial (Gaussian) smoothers Causal, exponentially-decaying weights over the last radius bars using σ (sigma) to control spread. fast = rbf_smooth(src, fastR, fastSig) slow = rbf_smooth(src, slowR, slowSig) wave = fast − slow (band-pass) Robust normalization A two-stage EMA approximates the median; MAD is estimated from EMA of absolute deviations and scaled by 1.4826 to be stdev-comparable. z = (wave − center) / MAD Thresholds Dynamic OB/OS: ±2.5 × MAD(z) (or fixed levels when disabled) Reading the indicator Bull Cross: z crosses above sig → momentum turning up. Bear Cross: z crosses below sig → momentum turning down. Exits / Bias flips: zero-line crosses (below 0 → exit long bias; above 0 → exit short bias). Overbought/Oversold: z > +thrOB or z < thrOS. With dynamics on, the bands widen/narrow with recent noise; with dynamics off, static guides at ±2 / ±2.5 are shown. Core Inputs Source: Price series to analyze. Fast Radius / Fast Sigma (defaults 6 / 2.5): Shorter radius/smaller σ = snappier, higher-freq. Slow Radius / Slow Sigma (defaults 14 / 5.0): Larger radius/σ = smoother, lower-freq baseline. Normalization Robust Z-Score Window (default 200): Lookback for median/MAD proxy (stability vs responsiveness). Small ε for MAD: Floor to avoid division by zero. Signal & Thresholds Dynamic Thresholds (MAD-based) (on by default): Adaptive OB/OS; toggle off to use fixed guides. Visuals Shade OB/OS Regions: Background highlights when z is beyond thresholds. Show Zero Line: Midline reference. (“Plot Cross Markers” input is present for future use.)
Pine Script® indicator
by Cmo22
Wavetrend strategy with trading session for any time chartHello there Today I am glad to provide you a strategy based on the wave trend oscillator. If you want to use it as an indicator, just disable long and short to not make any shops. It works on all time frames. The way it works its like an RSI . We have overbought and oversold levels, and together with a channel and length we calculate the wave trend. And then like in RSI, when we cross those lines we buy or sell depending on which lines we cross. For risk management, so far its not implemented, but it can be done in many ways. The only thing I applied is to always close a trade at the end of friday day. At the same time it can be applied the rule to sell when % of equity is lost, or at the end of a trading session like london,neywork and so on. For any questions or doubts, let me know. Hope you enjoy it :)
Pine Script® strategy
by SoftKill21
1
Momentum ArrowsThis simple indicators paints the Momentum based on Stochastic, RSI or WaveTrend onto the Price Chart by showing Green or Red arrows. In the settings it can be selected which indicator is used, Stochastic is selected by default. Length of the arrows is determined by the strength of the momentum: Stochastic: Difference between D and K RSI: Difference from RSI-50 WaveTrend: Difference between the Waves (Thanks to @LazyBear for the WaveTrend inspiration) PS: If anyone has an idea how to conditionally change the color of the arrows, then please let me know - that would be the icing on the cake. Then it would be possible to indicate Overbought/Oversold levels with different colors. Unfortunately it currently seems not to be possible to dynamically change the arrow colour.
Pine Script® indicator
by wugamlo
6
TradingGroundhog - Strategy & Fractal V1#-- Public Strategy - No Repaint - Fractals -- Short term Here I come with another script, more simple than Wavetrend V1. You will love it. #-- Synopsis -- Another simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but as this script do not use Wavetrends. You should stop by your self to use the script during long lasting downtrends. I developed the strategy using BTC /EUR 3 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for short term (to a month of uptrend) and automated trading. #-- Graph reading -- And now, how to read it ? Fractals: Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy. White Flags appear when the opening price goes over a Top fractal , it means Sell. #-- Parameters -- *** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. *** Can be touch : 'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Activate is often better) Can be touch but not necessary : 'VolumeMA' : The Volume corrector used by the fractals 'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals. Not to touch : 'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy. #-- Time frame -- Should be used with the following time frames depending on the necessity: 1 MIN 3 MIN (Preferred with the parameters set) 5 MIN #-- Last words -- The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry(). Good trades ! Disclaimer (As it should always be one to any script) *** This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading. *** # Here are the results from the 20rst of September 2021 with 100% of equity on the BTC /EUR 3 Min and with a capital of 10 000 EUR. So almost, one month. # As I saw, it goes from +30% to more than +160% (the great SHIB) depending on the selected crypto. It may be negative if you spot a downtrend.
Pine Script® strategy
by UnknownUnicorn27666852
4
SB_Wavetrend_OscillatorA take on LazyBear's Wavetrend_Oscillator The idea is bit modified. Original Idea: When the oscillator is above the overbought band (red lines) and crosses down the signal (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band (green lines), it is a good BUY signal. Modified Idea: Carrying the original idea, if the oscillator crosses the overbought band (red lines) and crosses down the signal (dotted line) twice without crossing the Oversold band (green lines) and crosses above the signal (dotted line), a buy or sell signal will take place when the oscillator crosses the dotted line and the value of oscillator is >0(if sell order is to be placed) and <0(if buy order is to be placed). For the original idea you can refer to: Let me know if any refinements could improve the oscillator.
Pine Script® strategy
by SudeepBisht
2
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description What This Indicator Does: This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups. Key Features: Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot How It Works: The indicator operates on a confluence principle where multiple conditions must align: For BUY Signals (Green): WaveTrend 1 crosses above WaveTrend 2 (bullish crossover) WaveTrend is in oversold territory (below -53 or -60) Stochastic RSI K-line is below 20 (oversold) For SELL Signals (Red): WaveTrend 1 crosses below WaveTrend 2 (bearish crossover) WaveTrend is in overbought territory (above 53 or 60) Stochastic RSI K-line is above 80 (overbought) WaveTrend Component: Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals. Stochastic RSI Component: Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation. Normalization Technology: To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent. How to Use: For Trend Traders: Wait for confluence signals in the direction of the larger trend Use buy signals in uptrends as entry points during pullbacks Use sell signals in downtrends as entry points during bounces For Reversal Traders: Focus on confluence signals at major support/resistance levels Look for divergences between price and oscillators before confluence signals Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80) For Scalpers: Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70) Use on lower timeframes (5m, 15m) with strict stop losses Settings Guide: WaveTrend Parameters: Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes Stochastic RSI Parameters: K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed D-Smooth (3): Additional smoothing for the D-line signal RSI Period (14): Standard RSI calculation period Stoch Period (14): Stochastic calculation lookback Oversold (20) / Overbought (80): Classic thresholds for extreme conditions Visual Options: Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish) Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish) Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels What Makes This Original: While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in: Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance Important Considerations: This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends) Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems Always combine with price action analysis, support/resistance levels, and proper risk management Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings Best Timeframes: Intraday: 15m, 1H (with tighter parameters) Swing Trading: 4H, Daily (with default parameters) Position Trading: Daily, Weekly (with extended Channel Length 15-20) Typical Use Cases: Identifying exhaustion points in trending markets Timing entries during pullbacks in established trends Spotting potential reversal zones at key price levels Filtering out weak momentum signals during consolidation
Pine Script® indicator
by TraderDemircan_
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide Overview This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes. Key Features 1. WaveTrend Oscillator Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average Overbought/Oversold Zones: Default levels at +60/-60 Cross Signals: 🟢 Bullish: WT1 crosses above WT2 in oversold territory 🔴 Bearish: WT1 crosses below WT2 in overbought territory Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation 2. Multi-Asset Correlation Tracking Monitors relationships between: Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500 Crypto Assets: Bitcoin, Ethereum, Solana, BNB Cross-Asset Analysis: Correlation between traditional markets and crypto 3. Market Regime Detection Automatically identifies market conditions: Risk-On: High correlation + positive sentiment (🟢 Green background) Risk-Off: High correlation + negative sentiment (🔴 Red background) Crypto-Risk-On: Strong crypto correlations (🟠 Orange background) Low-Correlation: Divergent market behavior (⚪ Gray background) Neutral: Mixed signals (🟡 Yellow background) How to Use Basic Setup Add to Chart: Apply the indicator to any chart (works on all timeframes) Choose Display Mode (Display Options): All: Shows everything (recommended for comprehensive analysis) WaveTrend Only: Focus on momentum signals Correlation Only: View market relationships Heatmap Only: Simplified correlation view Enable Asset Groups: ✅ Major Assets: Traditional markets (stocks, bonds, commodities) ✅ Crypto Assets: Digital currencies Mix and match based on your trading focus Reading the Charts WaveTrend Section (Bottom Panel) Above 0 = Bullish momentum Below 0 = Bearish momentum Above +60 = Overbought (potential reversal) Below -60 = Oversold (potential bounce) Lighter lines = Higher timeframe trends Correlation Histogram (Colored Bars) Blue bars: Major asset correlations Orange bars: Crypto correlations Purple bars: Cross-asset correlations Bar height: Correlation strength (-50 to +50 scale) Background Color Intensity reflects correlation strength Color shows market regime Dashboard Elements 🎯 Market Regime Analysis (Top Left) Current Regime: Overall market condition Average Correlation: Strength of relationships (0-1 scale) Risk Sentiment: -100% (risk-off) to +100% (risk-on) HTF Alignment: Multi-timeframe trend agreement Signal Quality: Confidence level for current signals 📊 Correlation Matrix (Top Right) Shows correlation values between asset pairs: 1.00: Perfect positive correlation 0.75+: Strong correlation (🟢 Green) 0.50+: Medium correlation (🟡 Yellow) 0.25+: Weak correlation (🟠 Orange) Below 0.25: Negative/no correlation (🔴 Red) 🔥 Correlation Heatmap (Bottom Right) Visual matrix showing: Gold vs. DXY, BTC, ETH DXY vs. BTC, ETH BTC vs. ETH Color-coded strength 📈 Performance Tracker (Bottom Left) Tracks individual asset momentum: WT1 Values: Current momentum reading Status: OB (overbought) / OS (oversold) / Normal Trading Strategies 1. High-Probability Trend Following ✅ Entry Conditions: WaveTrend bullish/bearish cross HTF Alignment matches signal direction Signal Quality > 70% Correlation supports direction 2. Regime Change Trading 🎯 Watch for regime shifts: Risk-Off → Risk-On = Consider long positions High correlation → Low correlation = Reduce position size Crypto-Risk-On = Focus on crypto longs 3. Divergence Trading 🔍 Look for: Strong correlation breakdown = Potential volatility Cross-asset correlation surge = Follow the leader Volume-price correlation extremes = Trend confirmation 4. Overbought/Oversold Reversals ⚡ Trade reversals when: WT crosses in extreme zones (-60/+60) HTF alignment shows opposite trend weakening Correlation confirms mean reversion setup Customization Tips Fine-Tuning Parameters WaveTrend Core: Channel Length (10): Lower = more sensitive, Higher = smoother Average Length (21): Adjust for your timeframe Correlation Settings: Length (50): Longer = more stable, Shorter = more responsive Smoothing (5): Reduce noise in correlation readings Market Regime: Risk-On Threshold (0.6): Lower = earlier regime signals High Correlation Threshold (0.75): Adjust sensitivity Custom Asset Selection Replace default symbols with your preferred markets: Major Assets: Any forex, indices, bonds Crypto: Any digital currencies Must use correct exchange prefix (e.g., BINANCE:BTCUSDT) Alert System Enable "Advanced Alerts" to receive notifications for: ✅ Market regime changes ✅ Correlation breakdowns/surges ✅ Strong signals with high correlation ✅ Extreme volume-price correlation ✅ Complete HTF alignment Correlation Interpretation Guide ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated Best Practices Use Multiple Timeframes: Check HTF alignment before trading Confirm with Correlation: Strong signals work best with supportive correlations Watch Regime Changes: Adjust strategy based on market conditions Volume Matters: Enable volume-price correlation for confirmation Quality Over Quantity: Trade only high-quality setups (>70% signal quality) Common Patterns to Watch 🔵 Risk-On Environment: Gold-BTC positive correlation DXY negative correlation with risk assets High crypto correlations 🔴 Risk-Off Environment: Flight to safety (Gold up, stocks down) DXY strength Correlation breakdowns 🟡 Transition Periods: Low correlation across assets Mixed HTF signals Use caution, reduce position sizes Technical Notes Calculation Period: Uses HLC3 (average of high, low, close) Correlation Window: Rolling correlation over specified length HTF Data: Accurately calculated using security() function Performance: Optimized for real-time calculation on all timeframes Support For optimal performance: Use on 15-minute to daily timeframes Enable only needed asset groups Adjust correlation length based on trading style Combine with your existing strategy for confirmation Enjoy comprehensive multi-asset analysis! 🚀
Pine Script® indicator
by Able-terminal
2
MFx Radar (Money Flow x-Radar)Description: MFx Radar is a precision-built multi-timeframe analysis tool designed to identify high-probability trend shifts and accumulation/distribution events using a combination of WaveTrend dynamics, normalized money flow, RSI, BBWP, and OBV-based trend biasing. Multi-Timeframe Trend Scanner Analyze trend direction across 5 customizable timeframes using WaveTrend logic to produce a clear trend consensus. Smart Money Flow Detection Adaptive hybrid money flow combines CMF and MFI, normalized across lookback periods, to pinpoint shifts in accumulation or distribution with high sensitivity. Event-Based Labels & Alerts Minimalist "Accum" and "Distr" text labels appear at key inflection points, based on hybrid flow flips — designed to highlight smart money moves without clutter. Trigger & Pattern Recognition Built-in logic detects anchor points, trigger confirmations, and rare "Snake Eye" formations directly on WaveTrend, enhancing trade timing accuracy. Visual Dashboard Table A real-time table provides score-based insight into signal quality, trend direction, and volume behavior, giving you a full picture at a glance. MFx Radar helps streamline discretionary and system-based trading decisions by surfacing key confluences across price, volume, and momentum all while staying out of your way visually. How to Use MFx Radar MFx Radar is a multi-timeframe market intelligence tool designed to help you spot trend direction, momentum shifts, volume strength, and high-probability trade setups using confluence across price, flow, and timeframes. Where to find settings To see the full visual setup: After adding the script, open the Settings gear. Go to the Inputs tab and enable: Show Trigger Diamonds Show WT Cross Circles Show Anchor/Trigger/Snake Eye Labels Show Table Show OBV Divergence Show Multi-TF Confluence Show Signal Score Then, go to the Style tab to adjust colors and fills for the wave plots and hybrid money flow. (Use published chart as a reference.) What the Waves and Colors Mean Blue WaveTrend (WT1 / WT2). These are the main momentum waves. WT1 > WT2 = bullish momentum WT1 < WT2 = bearish momentum Above zero = bullish bias Below zero = bearish bias When WT1 crosses above WT2, it often marks the beginning of a move — these are shown as green trigger diamonds. VWAP-MACD Line The yellow fill helps spot volume-based momentum. Rising = trend acceleration Use together with BBWP (bollinger band width percentile) and hybrid money flow for confirmation. Hybrid Money Flow Combines CMF and MFI, normalized and smoothed. Green = accumulation Red = distribution Transitions are key — especially when price moves up, but money flow stays red (a divergence warning). This is useful for spotting fakeouts or confirming smart money shifts. Orange Vertical Highlights Shows when price is rising, but money flow is still red. Often a sign of hidden distribution or "exit pump" behavior. Table Dashboard (Bottom-Right) BBWP (Volatility Pulse) When BBWP is low (<20), it signals consolidation — a breakout is likely to follow. Use this with ADX and WaveTrend position to anticipate directional breakouts. Trend by ADX Shows whether the market is trending and in which direction. Combined with money flow and RSI, this gives strong confirmation on breakouts. OBV HTF Bias Gives higher timeframe pressure (bullish/bearish/neutral). Helps avoid taking counter-trend trades. Pattern Labels (WT-Based) A = Anchor Wave — WT hitting oversold T = Trigger Wave — WT turning back up after anchor 👀 = Snake Eyes — Rare pattern, usually signaling strong reversal potential These help in timing entries, especially when they align with other signals like BBWP breakouts, confluence, or smart money flow flips. Multi-Timeframe (MTF) Consensus The system checks WaveTrend on 5 different timeframes and gives: Color-coded signals on each TF A final score: “Mostly Up,” “Mostly Down,” or “Mixed” When MTFs align with wave crosses, BBWP expansion, and hybrid money flow shifts, the probability of sustained move is higher. Divergence Spotting (Advanced Tip) Watch for:Price rising while money flow is red → Possible trap / early exit Price dropping while money flow is green → Early accumulation Combine this with anchor-trigger patterns and MTF trend support for spotting bottoms or tops early. Final Tips Use WT trigger crosses as initial signal. Confirm with money flow direction + color flip Look at BBWP for breakout timing. Use table as your decision dashboard Favor trades that align with MTF consensus
Pine Script® indicator
by renderingnature1
9
GT 5.1 Strategy═════════════════════════════════════════════════════════════════════════ █ OVERVIEW People often look an indicator in their technical analysis to enter a position. We may also need to look at the signals of one or more indicators to verify the signals given by some indicators. In this context, I developed a strategy to test whether it really works by choosing some of the indicators that capture trend changes with the same characteristics. Also, since the subject is to catch the trend change, I thought it would be right to include an indicator using the heikin ashi logic. By averaging and smoothing the market noise, Heiken Ashi makes it easier to detect the direction of the trend helps to see possible reversal points on the chart. However, it should be noted that Heiken Ashi is a lagging indicator. I picked 5 different indicators (but their purpose are similar) and combined them to produce buy and sell signals based on your choice(not repaint). First of all let's get some information about our indicators. So you will understand me why i picked these indicators and what is the meaning of their signals. 1 — Coral Trend Indicator by LazyBear Coral Trend Indicator is a linear combination of moving averages, all obtained by a triple or higher order exponential smoothing. The indicator comes with a trend indication which is based on the normalized slope of the plot. the usage of this indicator is simple. When the color of the line is green that means the market is in uptrend. But when the color is red that means the market is in downtrend. As you see the original indicator it is simple to find is it in uptrend or downtrend. So i added a code to find when the color of the line change. When it turns green to red my script giving sell signals, when it turns red to green it gives buy signals. I hide the candles to show you more clearly what is happening when you choose only Coral Strategy. But sometimes it is not enough only using itself. Even if green dots turn to red it continues in uptrend. So we need a to look another indicator to approve our signal. 2 — SSL channel by ErwinBeckers Known as the SSL , the Semaphore Signal Level channel is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. This indicator creates a band by calculating the high and low values ​​according to the determined period. Simply if you decide 10 as period, it calculates a 10-period moving average on the latest 10 highs. Calculate a 10-period moving average on the latest 10 lows. If the price falls below the low band, the downtrend begins, if the price closes above the high band, the uptrend begins. Lets look the original form of indicator and learn how it using. If the red line is below and the green band is above, it means that we are in uptrend, and if it is on the opposite side, it means that we are in downtrend. Therefore, it would be logical to enter a position where the trend has changed. So i added a code to find when the crossover has occured. As you see in my strategy, it gives you signals when the trend has changed. But sometimes it is not enough only using this indicator itself. So lets look 2 indicator together in one chart. Look circle SSL is saying it is in downtrend but Coral is saying it has entered in uptrend. if we just look to coral signal it can misleads us. So it can be better to look another indicator for validating our signals. 3 — Heikin Ashi RSI Oscillator by JayRogers The Heikin-Ashi technique is used by technical traders to identify a given trend more easily. Heikin-Ashi has a smoother look because it is essentially taking an average of the movement. There is a tendency with Heikin-Ashi for the candles to stay red during a downtrend and green during an uptrend, whereas normal candlesticks alternate color even if the price is moving dominantly in one direction. This indicator actually recalculates the RSI indicator with the logic of heikin ashi. Due to smoothing, the bars are formed with a slight lag, reflecting the trend rather than the exact price movement. So lets look the original version to understand more clearly. If red bars turn to green bars it means uptrend may begin, if green bars turn to red it means downtrend may begin. As you see HARSI giving lots of signal some of them is really good but some of them are not very well. Because it gives so much signals Now i will change time period and lets look same chart again. Now results are better because of heikin ashi's logic. it is not suitable for day traders, it gives more accurate result when using the time period is longer. But it can be useful to use this indicator in short time periods using with other indicators. So you may catch the trend changes more accurately. 4 — MACD DEMA by ToFFF This indicator uses a double EMA and MACD algorithm to analyze the direction of the trend. Though it might seem a tough task to manage the trades with the help of MACD DEMA once you know how the proper way to interpret the signal lines, it will be an easy task. This indicator also smoothens the signal lines with the time series algorithm which eventually makes the higher time frame important. So, expecting better results in the lower time frame can result in big losses as the data reading from the MACD DEMA will not be accurate. In order to understand the function of this indicator, you have to know the functions of the EMA also. The exponential moving average tends to give more priority to the recent price changes. So, expecting better results when the volatility is very high is a very risky approach to trade the market. Moreover, the MACD has some lagging issues compared to the EMA, so it is super important to use a trading method that focuses on the higher time frame only. What does MACD 12 26 Close 9 mean? When the DEMA-9 crosses above the MACD(12,26), this is considered a bearish signal. It means the trend in the stock – its magnitude and/or momentum – is starting to shift course. When the MACD(12,26) crosses above the DEMA-9, this is considered a bullish signal. Lets see this indicator on Chart. When the blue line crossover red line it is good time to buy. As you see from the chart i put arrows where the crossover are appeared. When the red line crossover blue line it is good time to sell or exit from position. 5 — WaveTrend Oscillator by LazyBear This is a technical indicator that creates high and low bands between two values. It then creates a trend indicator that draws waves with highs and lows within these boundaries. WaveTrend is a widely used indicator for finding direction of an asset. Calculation period: number of candles used to calculate WaveTrend, defaults to 10. Averaging period: number of candles used to average WaveTrend, defaults to 21. As you see in chart when the lines crossover occured my strategy gives buy or sell signals. ═════════════════════════════════════════════════════════════════════════ █ HOW TO USE I hope you understand how the indicators I mentioned above work and what they are used for. Now, I will explain in detail how to use the strategy I have created. When you enter the settings section, you will see 5 types of indicators. If you want to use the signals of the indicators, simply tick the box next to the indicators. Also, under each option there is an area where you can set the "lookback". This setting is a field that will make the signals overlap when you select more than one option. If you are going to trade with only one option, you should make sure that this field is 0. Otherwise, it may continue to generate as many signals as you choose. Lets see in chart for easy understanding. As you see chart, if i chose only HARSI with lookback 0 (HARSI and CORAL should be 1 minumum because of algorithm-we looking 1 bar before, others 0 because we are looking crossovers), it will give signals only when harsı bar's color changed. But when i changed Lookback as 7 it will be like this in chart. Now i will choose 2 indicator with settings of their lookback 0. As you see it will give signals when both of them occurs same time. But HARSI is an indicator giving very early signal so we can enter position 5-6 bars after the first bar color change. So i will change HARSI Lookback settings as 7. Lets look what happens when we use lookback option. So it wil be useful to change lookback settings to find best signals in each time period and in each symbol. But it shouldnt be too high. Because you can be late to catch trend's starting. this is an image of MACD and WAVE trend used and lookback option are both 6. Now lets see an example with 3 options are chosen with lookback option 11-1-5 Now lets talk about indicators settings. After strategy options you will see each indicators settings, you can change their settings as you desired. So each indicators signal will be changed according to your adjustment. I left strategy options with default settings. You can change it manually as if you want. ═════════════════════════════════════════════════════════════════════════ █  LIMITATIONS: Don't rely on non-standard charts results. For example Heikin Ashi is a technical analysis method used with the traditional candlestick chart.Heikin Ashi vs. Candlestick Chart: The decisive visual difference between Heikin Ashi and the traditional chart is that Heikin Ashi flattens the traditional candlestick chart using a modified formula. The primary advantage of Heikin Ashi is that it makes the chart more reader-friendly and helps users identify and analyze trends . Because Heikin Ashi provides averaged price information rather than real-time price and reacts slowly to volatility — not suitable for scalpers and high-frequency traders. I added HARSI indicator as a supportive signal because it is useful with using CORAL and SSL channel indicators. If you change your candle types to Heikin Ashi , your profit will change in good way but dont rely on it. ═════════════════════════════════════════════════════════════════════════ █  THANKS: Special thanks to authors of the scripts that i used. @LazyBear and @ErwinBeckers and @JayRogers and @ToFFF ═════════════════════════════════════════════════════════════════════════ █  DISCLAIMER Any trade decisions you make are entirely your own responsibility.
Pine Script® strategy
by iori86
3
Minimal Godmode 2.1// Acknowledgments: // Original Godmode Authors: // @Legion, @LazyBear, @Ni6HTH4wK, @xSilas // Drop a line if you use or modify this code. // Godmode 3.1.4: @SNOW_CITY // Godmode 3.2: @sco77m4r7in and @oh92 // Godmode3.2+LSMA: @scilentor // Godmode 4.0.0-4.0.1: @chrysopoetics // Jurik Moving Average: @everget // Constance Brown Composite Index RSI: @LazyBear // Wavetrend Oscillator: @fskrypt // TTM Squeeze: @Greeny // True TSI/RSI: @cI8DH and @chrysopoetics // Laguerre RSI (Self-Adjusting Alpha with Fractals Energy): @everget // RSI Shaded: @mortdiggiddy // Minimal Godmode v2.0: // 6 BTC pairs/exchanges (instead of 11) to reduce loading time from the pinescript security() function // Volume Composite for engine calculation // TTM Squeeze on Wavetrend Signal // Constance Brown Composite Index RSI (CBCI) // TrueTSI (Godmode 4.0.0 implementation) // Laguerre RSI (LRSI) // Minimal Godmode v2.1: // Removed TTM Squeeze and Volume Composite // EMA for Wavetrend Signal // Multi-exchange for BTC no longer the default // mg engine toggle for CBCI, Laguerre RSI, and TTSI // Wavetrend Histogram component toggle
Pine Script® indicator
by auroagwei
8
MLExtensionsLibrary "MLExtensions" A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space. normalizeDeriv(src, quadraticMeanLength)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the first-order derivative for price).      quadraticMeanLength (int) : The length of the quadratic mean (RMS).   Returns: nDeriv The normalized derivative of the input series. normalize(src, min, max)   Rescales a source value with an unbounded range to a target range.   Parameters:      src (float) : The input series      min (float) : The minimum value of the unbounded range      max (float) : The maximum value of the unbounded range   Returns: The normalized series rescale(src, oldMin, oldMax, newMin, newMax)   Rescales a source value with a bounded range to anther bounded range   Parameters:      src (float) : The input series      oldMin (float) : The minimum value of the range to rescale from      oldMax (float) : The maximum value of the range to rescale from      newMin (float) : The minimum value of the range to rescale to      newMax (float) : The maximum value of the range to rescale to   Returns: The rescaled series getColorShades(color)   Creates an array of colors with varying shades of the input color   Parameters:      color (color) : The color to create shades of   Returns: An array of colors with varying shades of the input color getPredictionColor(prediction, neighborsCount, shadesArr)   Determines the color shade based on prediction percentile   Parameters:      prediction (float) : Value of the prediction      neighborsCount (int) : The number of neighbors used in a nearest neighbors classification      shadesArr (array) : An array of colors with varying shades of the input color   Returns: shade Color shade based on prediction percentile color_green(prediction)   Assigns varying shades of the color green based on the KNN classification   Parameters:      prediction (float) : Value (int|float) of the prediction   Returns: color color_red(prediction)   Assigns varying shades of the color red based on the KNN classification   Parameters:      prediction (float) : Value of the prediction   Returns: color tanh(src)   Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.   Parameters:      src (float) : The input series (i.e., the normalized derivative).   Returns: tanh The hyperbolic tangent of the input series. dualPoleFilter(src, lookback)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the hyperbolic tangent).      lookback (int) : The lookback window for the smoothing.   Returns: filter The smoothed hyperbolic tangent of the input series. tanhTransform(src, smoothingFrequency, quadraticMeanLength)   Returns the tanh transform of the input series.   Parameters:      src (float) : The input series (i.e., the result of the tanh calculation).      smoothingFrequency (int)      quadraticMeanLength (int)   Returns: signal The smoothed hyperbolic tangent transform of the input series. n_rsi(src, n1, n2)   Returns the normalized RSI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the RSI calculation).      n1 (simple int) : The length of the RSI.      n2 (simple int) : The smoothing length of the RSI.   Returns: signal The normalized RSI. n_cci(src, n1, n2)   Returns the normalized CCI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the CCI calculation).      n1 (simple int) : The length of the CCI.      n2 (simple int) : The smoothing length of the CCI.   Returns: signal The normalized CCI. n_wt(src, n1, n2)   Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).      n1 (simple int)      n2 (simple int)   Returns: signal The normalized WaveTrend Classic series. n_adx(highSrc, lowSrc, closeSrc, n1)   Returns the normalized ADX ideal for use in ML algorithms.   Parameters:      highSrc (float) : The input series for the high price.      lowSrc (float) : The input series for the low price.      closeSrc (float) : The input series for the close price.      n1 (simple int) : The length of the ADX. regime_filter(src, threshold, useRegimeFilter)   Parameters:      src (float)      threshold (float)      useRegimeFilter (bool) filter_adx(src, length, adxThreshold, useAdxFilter)   filter_adx   Parameters:      src (float) : The source series.      length (simple int) : The length of the ADX.      adxThreshold (int) : The ADX threshold.      useAdxFilter (bool) : Whether to use the ADX filter.   Returns: The ADX. filter_volatility(minLength, maxLength, useVolatilityFilter)   filter_volatility   Parameters:      minLength (simple int) : The minimum length of the ATR.      maxLength (simple int) : The maximum length of the ATR.      useVolatilityFilter (bool) : Whether to use the volatility filter.   Returns: Boolean indicating whether or not to let the signal pass through the filter. backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isEarlySignalFlip, maxBarsBackIndex, thisBarIndex, src, useWorstCase)   Performs a basic backtest using the specified parameters and conditions.   Parameters:      high (float) : The input series for the high price.      low (float) : The input series for the low price.      open (float) : The input series for the open price.      startLongTrade (bool) : The series of conditions that indicate the start of a long trade.      endLongTrade (bool) : The series of conditions that indicate the end of a long trade.      startShortTrade (bool) : The series of conditions that indicate the start of a short trade.      endShortTrade (bool) : The series of conditions that indicate the end of a short trade.      isEarlySignalFlip (bool) : Whether or not the signal flip is early.      maxBarsBackIndex (int) : The maximum number of bars to go back in the backtest.      thisBarIndex (int) : The current bar index.      src (float) : The source series.      useWorstCase (bool) : Whether to use the worst case scenario for the backtest.   Returns: A tuple containing backtest values init_table()   init_table()   Returns: tbl The backtest results. update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, earlySignalFlips)   update_table(tbl, tradeStats)   Parameters:      tbl (table) : The backtest results table.      tradeStatsHeader (string) : The trade stats header.      totalTrades (float) : The total number of trades.      totalWins (float) : The total number of wins.      totalLosses (float) : The total number of losses.      winLossRatio (float) : The win loss ratio.      winrate (float) : The winrate.      earlySignalFlips (float) : The total number of early signal flips.   Returns: Updated backtest results table.
Pine Script® library
by TFU_Tradewise
NEURAL FLOW INDEX — Core Energy • Momentum Stream • Pulse SyncNeural Flow Index (NFI) — Advanced Triple-Layer Reversal Framework The Neural Flow Index (NFI) is a next-generation market oscillator designed to reveal the hidden synchronization between trend energy, cyclical momentum, and internal pulse dynamics. It merges three powerful analytical layers into a single, normalized view: Core Energy Curve (based on RSO logic) — captures structural trend bias and volatility expansion. Momentum Stream (WaveTrend algorithm) — visualizes cyclical motion of price waves. Pulse Sync (Stochastic RSI adaptation) — measures short-term momentum rhythm and overextension. Each layer feeds into a unified flow model that adapts to both trend-following and reversal conditions. The goal is not to chase every fluctuation, but to sense where momentum, direction, and volatility converge into true inflection points. Conceptual Mechanics The oscillator translates complex market behavior into an elegant, multi-phase signal system: Core Energy Curve (RSO foundation): A smoothed dynamic field representing the overall strength and direction of market pressure. Green energy indicates expansion (bullish dominance); red energy reflects contraction (bearish decay). Momentum Stream (WaveTrend): The teal line functions like an electro-wave, oscillating through phases of expansion and exhaustion. It provides the heartbeat of the market — smooth, rhythmic, and beautifully cyclic. Pulse Sync (Stochastic RSI): The purple line acts as the market’s nervous pulse, reacting to micro-momentum changes before the larger trend adjusts. It identifies micro-tops and micro-bottoms that precede major trend shifts. When these three forces align, they create high-probability reversal zones known as Neural Nodes — regions where energy, momentum, and rhythm converge. Trading Logic Potential Entry Zones: When the purple Pulse Sync line crosses the green Momentum Stream near the lower or upper bounds of the oscillator, a potential turning point forms. Yet, these crossovers are only validated when the Core Energy histogram (RSO) simultaneously supports the same direction — confirming that energy and rhythm are synchronized. Histogram Confirmation: The histogram is the “voice” of the oscillator. Rising green volume within the histogram during a Pulse-Momentum crossover suggests a legitimate upward reversal. Conversely, expanding red energy during an upper-band cross indicates momentum exhaustion and an early short-side opportunity. Neutral Zones: When all three layers flatten near the zero line, the market enters an equilibrium phase — no clear trend dominance, ideal for patience and re-entry planning. | Layer | Representation | Color | Function | | --------------------- | ------------------- | ----------------- | ------------------------------ | | **Core Energy Curve** | Area / Histogram | Lime-Red gradient | Trend bias & volatility energy | | **Momentum Stream** | WaveTrend line | Teal | Cyclical flow of price | | **Pulse Sync** | Stochastic RSI line | Purple | Short-term momentum rhythm | Interpretation Summary Converging Waves: Trend, momentum, and pulse move together → strong continuation. Diverging Waves: Pulse or Momentum decouple from Core Energy → early reversal warnings. Histogram Expansion: Confirms direction and strength of the new wave. Crossovers at Extremes: Potential entries, especially when confirmed by energy alignment. 🪶 Philosophy Behind NFI The Neural Flow Index is not just a technical indicator — it’s a behavioral visualization system. Instead of focusing on lagging confirmations, it captures the neural pattern of price motion: how liquidity flows, contracts, and expands through time. It bridges the gap between pure mathematics and market intuition — giving traders a cinematic, harmonic view of energy transition inside price structure.
Pine Script® indicator
by ozgurzari
WT + Stoch RSI Reversal Combo📊MR.Z RSI : WT + Stochastic RSI Reversal Combo This custom indicator combines WaveTrend oscillator and Stochastic RSI to detect high-confidence market reversal points, filtering signals so they only appear when both indicators align. 🔍 Core Components: ✅ WaveTrend Oscillator Based on smoothed deviation from EMA (similar to TCI logic) Plots: WT1 (main line) WT2 (signal line = SMA of WT1) Uses overbought/oversold thresholds (default: ±53) to filter signals ✅ Stochastic RSI Momentum oscillator based on RSI's stochastic value Plots: %K: smoothed Stoch of RSI %D: smoothed version of %K Adjustable oversold/overbought thresholds (default: 20/80) 🔁 Combined Reversal Signal Logic: 🔼 Buy Signal WT1 crosses above WT2 below WT oversold level (e.g., -53) %K crosses above %D below Stoch RSI oversold level (e.g., 20) 🔽 Sell Signal WT1 crosses below WT2 above WT overbought level (e.g., 53) %K crosses below %D above Stoch RSI overbought level (e.g., 80) 🔔 Signals are only plotted and alerted if both conditions are true. 📌 Features: Toggle on/off: WaveTrend lines and histogram Stochastic RSI Combined Buy/Sell signals Horizontal reference lines (±100, OB/OS) Fully customizable smoothing lengths and thresholds Signal plots: ✅ Green up-triangle = Combo Buy ✅ Red down-triangle = Combo Sell Optional: Circle/cross markers for WT-only and Stoch-only signals 🔔 Built-in alerts for Buy/Sell signals 📈 Use Cases: Reversal Trading: Wait for both indicators to confirm momentum shift Entry Filter: Use in combination with trend indicators (like EMA) Scalping or Swing: Works on intraday and higher timeframes
Pine Script® indicator
by grigory84
MLExtensions_CoreLibrary "MLExtensions_Core" A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space, focused on computation. normalizeDeriv(src, quadraticMeanLength)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the first-order derivative for price).      quadraticMeanLength (int) : The length of the quadratic mean (RMS).   Returns: nDeriv The normalized derivative of the input series. normalize(src, min, max)   Rescales a source value with an unbounded range to a target range.   Parameters:      src (float) : The input series      min (float) : The minimum value of the unbounded range      max (float) : The maximum value of the unbounded range   Returns: The normalized series rescale(src, oldMin, oldMax, newMin, newMax)   Rescales a source value with a bounded range to anther bounded range   Parameters:      src (float) : The input series      oldMin (float) : The minimum value of the range to rescale from      oldMax (float) : The maximum value of the range to rescale from      newMin (float) : The minimum value of the range to rescale to      newMax (float) : The maximum value of the range to rescale to   Returns: The rescaled series getColorShades(color)   Creates an array of colors with varying shades of the input color   Parameters:      color (color) : The color to create shades of   Returns: An array of colors with varying shades of the input color getPredictionColor(prediction, neighborsCount, shadesArr)   Determines the color shade based on prediction percentile   Parameters:      prediction (float) : Value of the prediction      neighborsCount (int) : The number of neighbors used in a nearest neighbors classification      shadesArr (array) : An array of colors with varying shades of the input color   Returns: shade Color shade based on prediction percentile color_green(prediction)   Assigns varying shades of the color green based on the KNN classification   Parameters:      prediction (float) : Value (int|float) of the prediction   Returns: color color_red(prediction)   Assigns varying shades of the color red based on the KNN classification   Parameters:      prediction (float) : Value of the prediction   Returns: color tanh(src)   Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.   Parameters:      src (float) : The input series (i.e., the normalized derivative).   Returns: tanh The hyperbolic tangent of the input series. dualPoleFilter(src, lookback)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the hyperbolic tangent).      lookback (int) : The lookback window for the smoothing.   Returns: filter The smoothed hyperbolic tangent of the input series. tanhTransform(src, smoothingFrequency, quadraticMeanLength)   Returns the tanh transform of the input series.   Parameters:      src (float) : The input series (i.e., the result of the tanh calculation).      smoothingFrequency (int)      quadraticMeanLength (int)   Returns: signal The smoothed hyperbolic tangent transform of the input series. n_rsi(src, n1, n2)   Returns the normalized RSI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the RSI calculation).      n1 (simple int) : The length of the RSI.      n2 (simple int) : The smoothing length of the RSI.   Returns: signal The normalized RSI. n_cci(src, n1, n2)   Returns the normalized CCI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the CCI calculation).      n1 (simple int) : The length of the CCI.      n2 (simple int) : The smoothing length of the CCI.   Returns: signal The normalized CCI. n_wt(src, n1, n2)   Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).      n1 (simple int)      n2 (simple int)   Returns: signal The normalized WaveTrend Classic series. n_adx(highSrc, lowSrc, closeSrc, n1)   Returns the normalized ADX ideal for use in ML algorithms.   Parameters:      highSrc (float) : The input series for the high price.      lowSrc (float) : The input series for the low price.      closeSrc (float) : The input series for the close price.      n1 (simple int) : The length of the ADX. regime_filter(src, threshold, useRegimeFilter)   Parameters:      src (float)      threshold (float)      useRegimeFilter (bool) filter_adx(src, length, adxThreshold, useAdxFilter)   filter_adx   Parameters:      src (float) : The source series.      length (simple int) : The length of the ADX.      adxThreshold (int) : The ADX threshold.      useAdxFilter (bool) : Whether to use the ADX filter.   Returns: The ADX. filter_volatility(minLength, maxLength, sensitivityMultiplier, useVolatilityFilter)   filter_volatility   Parameters:      minLength (simple int) : The minimum length of the ATR.      maxLength (simple int) : The maximum length of the ATR.      sensitivityMultiplier (float) : Multiplier for the historical ATR to control sensitivity.      useVolatilityFilter (bool) : Whether to use the volatility filter.   Returns: Boolean indicating whether or not to let the signal pass through the filter.
Pine Script® library
by viorel8