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SatoshiSteps Swing StrategyCore Components: The indicator combines three popular technical analysis tools: Ichimoku Cloud: This helps identify the trend, support, and resistance levels. RSI (Relative Strength Index): This momentum oscillator identifies overbought and oversold conditions. MACD (Moving Average Convergence Divergence): This trend-following momentum indicator shows the relationship between two moving averages1 of prices. Logic: The strategy aims to identify potential swing trading opportunities by combining signals from these three components. It essentially looks for: Trend Confirmation (Ichimoku): Price should be above the Ichimoku cloud for buy signals. Price should be below the Ichimoku cloud for sell signals. The Tenkan-sen (conversion line) should cross above the Kijun-sen (base line) for buy signals. The Tenkan-sen should cross below the Kijun-sen for sell signals. Overbought/Oversold Conditions (RSI): RSI should be below the overbought level for buy signals (avoiding buying when the market is potentially overextended). RSI should be above the oversold level for sell signals (avoiding selling when the market is potentially oversold). Momentum Confirmation (MACD): The MACD line should be above the signal line for buy signals (indicating upward momentum). The MACD line should be below the signal line for sell signals (indicating downward momentum). Buy Signal: A buy signal is generated when all the following conditions are met: The Tenkan-sen crosses above the Kijun-sen. The price is above both the Senkou Span A and Senkou Span B (the cloud). The RSI is below the overbought level. The MACD line is above the signal line. Sell Signal: A sell signal is generated when all the following conditions are met: The Tenkan-sen crosses below the Kijun-sen. The price is below both the Senkou Span A and Senkou Span B (the cloud). The RSI is above the oversold level. The MACD line is below the signal line. Key Considerations: Time Frame: The indicator has built-in adjustments for 1-hour and 4-hour timeframes, optimizing the parameters for each. Customization: You can customize the overbought/oversold RSI levels and the styles of the buy/sell signals (triangle, label, arrow, circle) through the indicator's settings. Accuracy: While the strategy combines multiple indicators to improve accuracy, remember that no trading indicator is perfect. Market conditions can change rapidly, and false signals can occur. Risk Management: Always use proper risk management techniques, such as stop-loss orders, and never risk more than you can afford to lose.
Indicatore Pine Script®
di satoshisteps
DeepSignalFilterHelpersLibrary "DeepSignalFilterHelpers" filter_intraday_intensity(useIiiFilter)   Parameters:      useIiiFilter (bool) filter_vwma(src, length, useVwmaFilter)   Parameters:      src (float)      length (int)      useVwmaFilter (bool) filter_nvi(useNviFilter)   Parameters:      useNviFilter (bool) filter_emv(length, emvThreshold, useEmvFilter, useMovingAvg)   EMV filter for filtering signals based on Ease of Movement   Parameters:      length (int) : The length of the EMV calculation      emvThreshold (float) : The EMV threshold      useEmvFilter (bool) : Whether to apply the EMV filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_adi(length, threshold, useAdiFilter, useMovingAvg)   ADI filter for filtering signals based on Accumulation/Distribution Index   Parameters:      length (int) : The length of the ADI moving average calculation      threshold (float) : The ADI threshold      useAdiFilter (bool) : Whether to apply the ADI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_mfi(length, mfiThreshold, useMfiFilter, useMovingAvg)   MFI filter for filtering signals based on Money Flow Index   Parameters:      length (int) : The length of the MFI calculation      mfiThreshold (float) : The MFI threshold      useMfiFilter (bool) : Whether to apply the MFI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used detect_obv_states(obvThresholdStrong, obvThresholdModerate, lookbackPeriod, obvMode)   detect_obv_states: Identify OBV states with three levels (Strong, Moderate, Weak) over a configurable period   Parameters:      obvThresholdStrong (float) : Threshold for strong OBV movements      obvThresholdModerate (float) : Threshold for moderate OBV movements      lookbackPeriod (int) : Number of periods to analyze OBV trends      obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")   Returns: OBV state ("Strong Up", "Moderate Up", "Weak Up", "Positive Divergence", "Negative Divergence", "Consolidation", "Weak Down", "Moderate Down", "Strong Down") filter_obv(src, length, obvMode, threshold, useObvFilter, useMovingAvg)   filter_obv: Filter signals based on OBV states   Parameters:      src (float) : The source series (default: close)      length (int) : The length of the OBV moving average calculation      obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")      threshold (float) : Optional threshold for additional filtering      useObvFilter (bool) : Whether to apply the OBV filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_cmf(length, cmfThreshold, useCmfFilter, useMovingAvg)   CMF filter for filtering signals based on Chaikin Money Flow   Parameters:      length (int) : The length of the CMF calculation      cmfThreshold (float) : The CMF threshold      useCmfFilter (bool) : Whether to apply the CMF filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_vwap(useVwapFilter)   VWAP filter for filtering signals based on Volume-Weighted Average Price   Parameters:      useVwapFilter (bool) : Whether to apply the VWAP filter   Returns: Filtered result indicating whether the signal should be used filter_pvt(length, pvtThreshold, usePvtFilter, useMovingAvg)   PVT filter for filtering signals based on Price Volume Trend   Parameters:      length (int) : The length of the PVT moving average calculation      pvtThreshold (float) : The PVT threshold      usePvtFilter (bool) : Whether to apply the PVT filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_vo(shortLength, longLength, voThreshold, useVoFilter, useMovingAvg)   VO filter for filtering signals based on Volume Oscillator   Parameters:      shortLength (int) : The length of the short-term volume moving average      longLength (int) : The length of the long-term volume moving average      voThreshold (float) : The Volume Oscillator threshold      useVoFilter (bool) : Whether to apply the VO filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_cho(shortLength, longLength, choThreshold, useChoFilter, useMovingAvg)   CHO filter for filtering signals based on Chaikin Oscillator   Parameters:      shortLength (int) : The length of the short-term ADI moving average      longLength (int) : The length of the long-term ADI moving average      choThreshold (float) : The Chaikin Oscillator threshold      useChoFilter (bool) : Whether to apply the CHO filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_fi(length, fiThreshold, useFiFilter, useMovingAvg)   FI filter for filtering signals based on Force Index   Parameters:      length (int) : The length of the FI calculation      fiThreshold (float) : The Force Index threshold      useFiFilter (bool) : Whether to apply the FI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_garman_klass_volatility(length, useGkFilter)   Parameters:      length (int)      useGkFilter (bool) filter_frama(src, length, useFramaFilter)   Parameters:      src (float)      length (int)      useFramaFilter (bool) filter_bollinger_bands(src, length, stdDev, useBollingerFilter)   Parameters:      src (float)      length (int)      stdDev (float)      useBollingerFilter (bool) filter_keltner_channel(src, length, atrMult, useKeltnerFilter)   Parameters:      src (float)      length (simple int)      atrMult (float)      useKeltnerFilter (bool) regime_filter(src, threshold, useRegimeFilter)   Regime filter for filtering signals based on trend strength   Parameters:      src (float) : The source series      threshold (float) : The threshold for the filter      useRegimeFilter (bool) : Whether to apply the regime filter   Returns: Filtered result indicating whether the signal should be used regime_filter_v2(src, threshold, useRegimeFilter)   Regime filter for filtering signals based on trend strength   Parameters:      src (float) : The source series      threshold (float) : The threshold for the filter      useRegimeFilter (bool) : Whether to apply the regime filter   Returns: Filtered result indicating whether the signal should be used filter_adx(src, length, adxThreshold, useAdxFilter)   ADX filter for filtering signals based on ADX strength   Parameters:      src (float) : The source series      length (simple int) : The length of the ADX calculation      adxThreshold (int) : The ADX threshold      useAdxFilter (bool) : Whether to apply the ADX filter   Returns: Filtered result indicating whether the signal should be used filter_volatility(minLength, maxLength, useVolatilityFilter)   Volatility filter for filtering signals based on volatility   Parameters:      minLength (simple int) : The minimum length for ATR calculation      maxLength (simple int) : The maximum length for ATR calculation      useVolatilityFilter (bool) : Whether to apply the volatility filter   Returns: Filtered result indicating whether the signal should be used filter_ulcer(src, length, ulcerThreshold, useUlcerFilter)   Ulcer Index filter for filtering signals based on Ulcer Index   Parameters:      src (float) : The source series      length (int) : The length of the Ulcer Index calculation      ulcerThreshold (float) : The Ulcer Index threshold (default: average Ulcer Index)      useUlcerFilter (bool) : Whether to apply the Ulcer Index filter   Returns: Filtered result indicating whether the signal should be used filter_stddev(src, length, stdDevThreshold, useStdDevFilter)   Standard Deviation filter for filtering signals based on Standard Deviation   Parameters:      src (float) : The source series      length (int) : The length of the Standard Deviation calculation      stdDevThreshold (float) : The Standard Deviation threshold (default: average Standard Deviation)      useStdDevFilter (bool) : Whether to apply the Standard Deviation filter   Returns: Filtered result indicating whether the signal should be used filter_macdv(src, shortLength, longLength, signalSmoothing, macdVThreshold, useMacdVFilter)   MACD-V filter for filtering signals based on MACD-V   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      macdVThreshold (float) : The MACD-V threshold (default: average MACD-V)      useMacdVFilter (bool) : Whether to apply the MACD-V filter   Returns: Filtered result indicating whether the signal should be used filter_atr(length, atrThreshold, useAtrFilter)   ATR filter for filtering signals based on Average True Range (ATR)   Parameters:      length (simple int) : The length of the ATR calculation      atrThreshold (float) : The ATR threshold (default: average ATR)      useAtrFilter (bool) : Whether to apply the ATR filter   Returns: Filtered result indicating whether the signal should be used filter_candle_body_and_atr(length, bodyThreshold, atrThreshold, useFilter)   Candle Body and ATR filter for filtering signals   Parameters:      length (simple int) : The length of the ATR calculation      bodyThreshold (float) : The threshold for candle body size (relative to ATR)      atrThreshold (float) : The ATR threshold (default: average ATR)      useFilter (bool) : Whether to apply the candle body and ATR filter   Returns: Filtered result indicating whether the signal should be used filter_atrp(length, atrpThreshold, useAtrpFilter)   ATRP filter for filtering signals based on ATR Percentage (ATRP)   Parameters:      length (simple int) : The length of the ATR calculation      atrpThreshold (float) : The ATRP threshold (default: average ATRP)      useAtrpFilter (bool) : Whether to apply the ATRP filter   Returns: Filtered result indicating whether the signal should be used filter_jma(src, length, phase, useJmaFilter)   Parameters:      src (float)      length (simple int)      phase (float)      useJmaFilter (bool) filter_cidi(src, rsiLength, shortMaLength, longMaLength, useCidiFilter)   Parameters:      src (float)      rsiLength (simple int)      shortMaLength (int)      longMaLength (int)      useCidiFilter (bool) filter_rsi(src, length, rsiThreshold, useRsiFilter)   Parameters:      src (float)      length (simple int)      rsiThreshold (float)      useRsiFilter (bool) filter_ichimoku_oscillator(length, threshold, useFilter)   Ichimoku Oscillator filter for filtering signals based on Ichimoku Oscillator   Parameters:      length (int) : The length of the Ichimoku Oscillator calculation      threshold (float) : The threshold for the filter (default: average Ichimoku Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_cmb_composite_index(src, shortLength, longLength, threshold, useFilter)   CMB Composite Index filter for filtering signals based on CMB Composite Index   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for CMB calculation      longLength (simple int) : The long length for CMB calculation      threshold (float) : The threshold for the filter (default: average CMB Composite Index)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_connors_rsi(src, rsiLength, rocLength, streakLength, threshold, useFilter)   Connors RSI filter for filtering signals based on Connors RSI   Parameters:      src (float) : The source series      rsiLength (simple int) : The length for RSI calculation      rocLength (int) : The length for ROC calculation      streakLength (simple int) : The length for streak calculation      threshold (float) : The threshold for the filter (default: average Connors RSI)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_coppock_curve(src, roc1Length, roc2Length, wmaLength, threshold, useFilter)   Coppock Curve filter for filtering signals based on Coppock Curve   Parameters:      src (float) : The source series      roc1Length (int) : The length for the first ROC calculation      roc2Length (int) : The length for the second ROC calculation      wmaLength (int) : The length for the WMA calculation      threshold (float) : The threshold for the filter (default: average Coppock Curve)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_pmo(src, pmoLength, smoothingLength, threshold, useFilter)   DecisionPoint Price Momentum Oscillator filter for filtering signals based on PMO   Parameters:      src (float) : The source series      pmoLength (simple int) : The length for PMO calculation      smoothingLength (simple int) : The smoothing length for PMO      threshold (float) : The threshold for the filter (default: average PMO Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_macd(src, shortLength, longLength, signalSmoothing, threshold, useFilter)   MACD filter for filtering signals based on MACD   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      threshold (float) : The threshold for the filter (default: average MACD)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_macd_histogram(src, shortLength, longLength, signalSmoothing, threshold, useFilter)   MACD-Histogram filter for filtering signals based on MACD-Histogram   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      threshold (float) : The threshold for the filter (default: average MACD-Histogram)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_kst(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, signalLength, threshold, useFilter)   Pring's Know Sure Thing filter for filtering signals based on KST   Parameters:      src (float) : The source series      r1 (int) : The first ROC length      r2 (int) : The second ROC length      r3 (int) : The third ROC length      r4 (int) : The fourth ROC length      sm1 (int) : The first smoothing length      sm2 (int) : The second smoothing length      sm3 (int) : The third smoothing length      sm4 (int) : The fourth smoothing length      signalLength (int) : The signal line smoothing length      threshold (float) : The threshold for the filter (default: average KST Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_special_k(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, threshold, useFilter)   Pring's Special K filter for filtering signals based on Special K   Parameters:      src (float) : The source series      r1 (int) : The first ROC length      r2 (int) : The second ROC length      r3 (int) : The third ROC length      r4 (int) : The fourth ROC length      sm1 (int) : The first smoothing length      sm2 (int) : The second smoothing length      sm3 (int) : The third smoothing length      sm4 (int) : The fourth smoothing length      threshold (float) : The threshold for the filter (default: average Special K)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_roc_momentum(src, rocLength, momentumLength, threshold, useFilter)   ROC and Momentum filter for filtering signals based on ROC and Momentum   Parameters:      src (float) : The source series      rocLength (int) : The length for ROC calculation      momentumLength (int) : The length for Momentum calculation      threshold (float) : The threshold for the filter (default: average ROC and Momentum)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_rrg_relative_strength(src, length, threshold, useFilter)   RRG Relative Strength filter for filtering signals based on RRG Relative Strength   Parameters:      src (float) : The source series      length (int) : The length for RRG Relative Strength calculation      threshold (float) : The threshold for the filter (default: average RRG Relative Strength)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_alligator(useFilter)   Parameters:      useFilter (bool) filter_wyckoff(useFilter)   Parameters:      useFilter (bool) filter_squeeze_momentum(bbLength, bbStdDev, kcLength, kcMult, useFilter)   Parameters:      bbLength (int)      bbStdDev (float)      kcLength (simple int)      kcMult (float)      useFilter (bool) filter_atr_compression(length, atrThreshold, useFilter)   Parameters:      length (simple int)      atrThreshold (float)      useFilter (bool) filter_low_volume(length, useFilter)   Parameters:      length (int)      useFilter (bool) filter_nvi_accumulation(useFilter)   Parameters:      useFilter (bool) filter_ma_slope(src, length, slopeThreshold, useFilter)   Parameters:      src (float)      length (int)      slopeThreshold (float)      useFilter (bool) filter_adx_low(len, lensig, adxThreshold, useFilter)   Parameters:      len (simple int)      lensig (simple int)      adxThreshold (int)      useFilter (bool) filter_choppiness_index(length, chopThreshold, useFilter)   Parameters:      length (int)      chopThreshold (float)      useFilter (bool) filter_range_detection(length, useFilter)   Parameters:      length (int)      useFilter (bool)
Libreria Pine Script®
di crypto_pumpppp
ZERO LAG TRADE SIGNALS by BootcampZeroThe ZERO LAG TRADE SIGNALS by BootcampZero indicator is a versatile tool designed to help traders identify optimal entry and exit points for both short-term scalping and long-term trading across multiple time frames. It combines several well-known technical analysis methods, including moving averages, trend analysis, directional indicators, and adaptive trend calculations, to deliver reliable buy and sell signals. Short-Term Scalping (Under 5-Minute Time Frames) For short-term traders who prefer quick trades on lower time frames, such as under 5 minutes, this indicator uses a combination of the EMA (Exponential Moving Average) and SMA (Simple Moving Average) to spot fast trend reversals. The indicator is particularly useful for scalpers because it focuses on detecting short-term price momentum by comparing the faster-moving averages with slower ones, triggering signals based on their crossover. Buy Signals are generated when a fast-moving EMA crosses above a slower-moving SMA, indicating upward momentum. Sell Signals are triggered when the fast-moving EMA crosses below the slower-moving SMA, signaling potential downward price movement. In addition, the Adaptive Trend Finder feature dynamically adjusts to recent price deviations and volatility, making it easier for scalpers to spot the prevailing short-term trend with high confidence. The indicator also uses ADX (Average Directional Index) for momentum confirmation, ensuring that signals are only generated during strong price trends, reducing false positives in sideways markets. Long-Term Trading (Above 1-Day Charts) When applied to higher time frames such as daily charts or above, this indicator excels in generating reliable long-term buy and sell signals, perfect for swing traders and long-term investors. The Kaufman Adaptive Moving Average (KAMA) and the Ichimoku Cloud are used to assess long-term trends by filtering out market noise and focusing on sustainable price direction. KAMA helps to adapt the moving average based on market volatility, providing smoother signals that minimize whipsawing in longer-term trades. Ichimoku Cloud provides additional trend confirmation by identifying whether the market is bullish or bearish based on the relationship between key lines like the Tenkan-Sen (Conversion Line) and Kijun-Sen (Base Line), and how the current price interacts with the Ichimoku Cloud itself. The indicator also integrates PPO (Percentage Price Oscillator) to capture divergences between price and momentum, further supporting traders in holding positions for extended periods when the signal strength is robust. Key Technical Values and Factors for Signals EMA and SMA Crossover: Fast EMA vs. Slow SMA to detect short-term trend reversals. ADX: Helps gauge the strength of the trend; signals are only generated in trending markets. KAMA: Filters noise in long-term trends, providing smooth signals based on market volatility. Ichimoku Cloud: Offers insight into long-term trends and momentum by analyzing price relative to the cloud. PPO: Detects divergences between price and momentum for trend continuation or reversal signals. How It Works Buy signals are generated when bullish conditions are met, and the indicator confirms momentum with ADX, crossover of the EMAs, or a bullish breakout from the Ichimoku Cloud. Sell signals are triggered when bearish conditions prevail, confirmed by the same factors in reverse, such as a bearish EMA crossover or weakness in ADX. By combining these powerful tools, ZERO LAG TRADE SIGNALS by BootcampZero offers traders a comprehensive system for both quick scalping trades and more conservative long-term positioning, providing reliable and adaptive signals across different market conditions.
Indicatore Pine Script®
di Bootcamp0
pandas_taLibrary "pandas_ta" Level: 3 Background Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft. Function Library "pandas_ta" PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful! I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well. Function Brief Descriptions (Pls find details in script comments) bton --> Binary to number wcp --> Weighted Closing Price (WCP) counter --> Condition counter xbt --> Between ebsw --> Even Better SineWave (EBSW) ao --> Awesome Oscillator (AO) apo --> Absolute Price Oscillator (APO) xrf --> Dynamic shifted values bias --> Bias (BIAS) bop --> Balance of Power (BOP) brar --> BRAR (BRAR) cci --> Commodity Channel Index (CCI) cfo --> Chande Forcast Oscillator (CFO) cg --> Center of Gravity (CG) cmo --> Chande Momentum Oscillator (CMO) coppock --> Coppock Curve (COPC) cti --> Correlation Trend Indicator (CTI) dmi --> Directional Movement Index(DMI) er --> Efficiency Ratio (ER) eri --> Elder Ray Index (ERI) fisher --> Fisher Transform (FISHT) inertia --> Inertia (INERTIA) kdj --> KDJ (KDJ) kst --> 'Know Sure Thing' (KST) macd --> Moving Average Convergence Divergence (MACD) mom --> Momentum (MOM) pgo --> Pretty Good Oscillator (PGO) ppo --> Percentage Price Oscillator (PPO) psl --> Psychological Line (PSL) pvo --> Percentage Volume Oscillator (PVO) qqe --> Quantitative Qualitative Estimation (QQE) roc --> Rate of Change (ROC) rsi --> Relative Strength Index (RSI) rsx --> Relative Strength Xtra (rsx) rvgi --> Relative Vigor Index (RVGI) slope --> Slope smi --> SMI Ergodic Indicator (SMI) sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented. sqz_pro --> Squeeze PRO(SQZPRO) xfl --> Condition filter stc --> Schaff Trend Cycle (STC) stoch --> Stochastic (STOCH) stochrsi --> Stochastic RSI (STOCH RSI) trix --> Trix (TRIX) tsi --> True Strength Index (TSI) uo --> Ultimate Oscillator (UO) willr --> William's Percent R (WILLR) alma --> Arnaud Legoux Moving Average (ALMA) xll --> Dynamic rolling lowest values dema --> Double Exponential Moving Average (DEMA) ema --> Exponential Moving Average (EMA) fwma --> Fibonacci's Weighted Moving Average (FWMA) hilo --> Gann HiLo Activator(HiLo) hma --> Hull Moving Average (HMA) hwma --> HWMA (Holt-Winter Moving Average) ichimoku --> Ichimoku Kinkō Hyō (ichimoku) jma --> Jurik Moving Average Average (JMA) kama --> Kaufman's Adaptive Moving Average (KAMA) linreg --> Linear Regression Moving Average (linreg) mgcd --> McGinley Dynamic Indicator rma --> wildeR's Moving Average (RMA) sinwma --> Sine Weighted Moving Average (SWMA) ssf --> Ehler's Super Smoother Filter (SSF) © 2013 supertrend --> Supertrend (supertrend) xsa --> X simple moving average swma --> Symmetric Weighted Moving Average (SWMA) t3 --> Tim Tillson's T3 Moving Average (T3) tema --> Triple Exponential Moving Average (TEMA) trima --> Triangular Moving Average (TRIMA) vidya --> Variable Index Dynamic Average (VIDYA) vwap --> Volume Weighted Average Price (VWAP) vwma --> Volume Weighted Moving Average (VWMA) wma --> Weighted Moving Average (WMA) zlma --> Zero Lag Moving Average (ZLMA) entropy --> Entropy (ENTP) kurtosis --> Rolling Kurtosis skew --> Rolling Skew xev --> Condition all zscore --> Rolling Z Score adx --> Average Directional Movement (ADX) aroon --> Aroon & Aroon Oscillator (AROON) chop --> Choppiness Index (CHOP) xex --> Condition any cksp --> Chande Kroll Stop (CKSP) dpo --> Detrend Price Oscillator (DPO) long_run --> Long Run psar --> Parabolic Stop and Reverse (psar) short_run --> Short Run vhf --> Vertical Horizontal Filter (VHF) vortex --> Vortex accbands --> Acceleration Bands (ACCBANDS) atr --> Average True Range (ATR) bbands --> Bollinger Bands (BBANDS) donchian --> Donchian Channels (DC) kc --> Keltner Channels (KC) massi --> Mass Index (MASSI) natr --> Normalized Average True Range (NATR) pdist --> Price Distance (PDIST) rvi --> Relative Volatility Index (RVI) thermo --> Elders Thermometer (THERMO) ui --> Ulcer Index (UI) ad --> Accumulation/Distribution (AD) cmf --> Chaikin Money Flow (CMF) efi --> Elder's Force Index (EFI) ecm --> Ease of Movement (EOM) kvo --> Klinger Volume Oscillator (KVO) mfi --> Money Flow Index (MFI) nvi --> Negative Volume Index (NVI) obv --> On Balance Volume (OBV) pvi --> Positive Volume Index (PVI) dvdi --> Dual Volume Divergence Index (DVDI) xhh --> Dynamic rolling highest values pvt --> Price-Volume Trend (PVT) Remarks I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish. This is a Level 3 free and open source indicator library. Feedbacks are appreciated. This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators. Function Name List: bton() wcp() count() xbt() ebsw() ao() apo() xrf() bias() bop() brar() cci() cfo() cg() cmo() coppock() cti() dmi() er() eri() fisher() inertia() kdj() kst() macd() mom() pgo() ppo() psl() pvo() qqe() roc() rsi() rsx() rvgi() slope() smi() sqz_pro() xfl() stc() stoch() stochrsi() trix() tsi() uo() willr() alma() wcx() xll() dema() ema() fwma() hilo() hma() hwma() ichimoku() jma() kama() linreg() mgcd() rma() sinwma() ssf() supertrend() xsa() swma() t3() tema() trima() vidya() vwap() vwma() wma() zlma() entropy() kurtosis() skew() xev() zscore() adx() aroon() chop() xex() cksp() dpo() long_run() psar() short_run() vhf() vortex() accbands() atr() bbands() donchian() kc() massi() natr() pdist() rvi() thermo() ui() ad() cmf() efi() ecm() kvo() mfi() nvi() obv() pvi() dvdi() xhh() pvt()
Libreria Pine Script®
di blackcat1402
20
1CH1M0KU 8UY 53LL description: green triangles: baseline up = buy, red triangles : below baseline = down: sell, red arrows: below conversion line =half sell, green arrows: institutional buy = addon ,blue labels: big volume = addon. This Indicator is based on ichimoku but in modified manner. to understand ichimoku entry exit very easily. don't have to look & analyze complex ichimoku lines, untick all ichimoku components, only activate shapes to ease out entry exit signal. use Base Line as Stoploss. This provide nice Risk to Reward ratio more than 1:3.
Indicatore Pine Script®
di AkmTradingTV
Trend Quality cross [LM]Hi Guys, I would like to introduce you Trend quality cross indicator. The idea orginallybcomes from @kruskakli and his indicator "Trend Quality" so shout-out to him I have modified the indicator to display just binary option buy/sell and display diff percentage from previous cross. Also there is a difference that I have double smoothed tq indicator results to give less false signals. and also added for the same reason like in my other indicator vpci ma cross base line and conversion line from ichimoku. Any suggestions are welcomed
Indicatore Pine Script®
di lmatl
2
Currency Strength Gold MethodolgyThis script was written by, and used with the express permission of, Eduardo Andrade. The purpose of the script is easily determine respective currencies strength and weakness as utilized in The Gold Methodology - Ichimoku. Tradingview members can use this script to see how each currency pair performed the day before as the reading is based is based upon the 11:00 p.m. GMT 60 minute candle (just before the Tokyo open). Each currency is ranked in order of descending Strength and are designated by the following colors: Orange = AUD Green = CAD Aqua = CHF Purple = EUR Red = GBP Yellow = JPY Black = NZD Blue = USD I hope you find he script beneficial and if you have any questions, please comment or send me a message. have a great weekend!! Allen
Indicatore Pine Script®
di AGold54
6
st 47Усредненный Ишимоку (Custom: 9/48/96) [V6]st47 — Volume in Clouds This indicator is a custom Ichimoku Cloud modification that dynamically reacts to market volume. The color intensity of the Kumo (cloud) changes depending on the current trading volume — brighter clouds indicate stronger activity, while dimmer ones reflect low participation. Key Features: • Based on the Ichimoku Cloud system (8/48/96 settings) • Volume-sensitive cloud visualization • Works on any timeframe and pair • Supports multi-ticker averaging (BTCUSDT, BTCUSDT.P, etc.) • Displays additional volume histogram below the chart Purpose: Helps visualize both trend structure and the strength behind it by combining Ichimoku logic with real-time volume dynamics.
Indicatore Pine Script®
di sathabodn22
OBV Cloud v1.0 [PriceBlance]🌐 English OBV Cloud v1.0 – Free & Open-Source OBV Cloud v1.0 integrates On-Balance Volume (OBV) with a Cloud model and enhanced trend filters. It helps traders quickly identify: Money Flow Trend: OBV Cloud acts as a dynamic support/resistance zone. Trend Filters: EMA9 (short-term) and WMA45 (medium-term) directly applied on OBV. OBV–Price Divergence: Detects both regular and hidden bullish/bearish divergences. Trend Strength: Measured with ADX calculated on OBV. OBV Cloud is suitable for both swing and day trading, allowing traders to spot breakouts, reversals, or sustained trends through volume-based analysis.
Indicatore Pine Script®
di priceblancetrading
Kumo no Nami Trend Strength Identifier T2[T69]🧠 Overview Kumo no Nami is a custom trend strength indicator that combines Ichimoku cloud dynamics (Kumo) with wave momentum (Nami) to identify trend direction, reversals, squeezes, and breakouts using Z-Score analysis. It adapts to different modes (Ichimoku, MA, EMA) for a flexible interpretation of price structure tension vs. movement strength. 🔍 Core Logic Kumo Width (Cloud Pressure): Measures the normalized spread (Z-Score) between two dynamic price levels (e.g., Senkou A-B or Base-Tenkan). Nami Strength (Wave Energy): Measures how far current price dislocates from a recent range using Z-Score of the difference between close and Donchian/MA. Z-Score Normalization: Ensures both metrics are statistically comparable, regardless of volatility regime. Squeeze Detection: Identifies compression before potential volatility expansion. Breakout/False Break: Detects whether movement is legitimate or noise. Final Top/Bottom: Highlights a strong burst post-squeeze, often signaling exhaustion or trend climax. ⚙️ Features 🌀 Multiple Kumo Modes: Kijun-Tenkan Senkou A - B SMA Fast - Slow EMA Fast - Slow 🟨 Z-Score Based Squeeze Monitoring 🟥 Final Burst Alerts 🟩 Trend Continuation or Fake-out Detection 🎨 Dynamic Background Coloring for visual signal clarity 🔧 Configuration 📊 Inputs Kumo Mode (kt, sab, sfs, efs) – Choose method to compute Kumo (Cloud) width. Kumo Lookback – Lookback period for cloud Z-Score analysis. Nami Lookback – Lookback period for wave dislocation measurement. Squeeze Threshold – How low Z-Kumo must fall to signal potential squeeze. Burst Thresholds: Burst Kumo → Z-Kumo must rise above this to be considered bursting. Burst Nami → Nami Strength threshold for final trend climax. Ichimoku Config – Tenkan, Kijun, Senkou B, and displacement. MA Config – For Fast/Slow variants, SMA/EMA lengths. 🧪 How It Works Compute the Kumo Width depending on selected mode. E.g., |Tenkan - Kijun| or |Senkou A - Senkou B| Normalize this width with its Z-Score to get Z-Kumo Width. Compute Nami Strength: Z-Score of how far close deviates from a Donchian channel or moving average. Evaluate signal logic based on the two: 📈 Behavior & Signals Trend Range (Sideways Consolidation) =>Z-Kumo < 0 and |Nami Strength| > 2 False Break (No meaningful price movement) =>Z-Kumo < 1 and |Nami Strength| < 1 Squeeze Watch (Potential breakout loading) =>Z-Kumo < Squeeze Threshold Final Burst / Climax =>Z-Kumo > 2.5 and |Nami Strength| > 3 Bullish Breakout =>Z-Kumo > 1 and Nami Strength > 2 and not false break Bearish Breakout =>Z-Kumo > 1 and Nami Strength < -2 and not false break Reversal Detection Crossovers of Nami Strength across 0 (bull/bear) while not in squeeze 🧠 Advanced Concepts Used Z-Score: =>(value - mean) / standard deviation for detecting statistically significant moves. Squeeze Principle: =>Low volatility → potential buildup → expansion. Price Dislocation (Wave Strength): =>Measures how far current price is from its mean range. =>Cloud Tension (Kumo Z-Score): =>Reflects pressure or neutrality in the price structure. Trend Confirmation: =>Only if both metrics agree and no false break conditions are met.
Indicatore Pine Script®
di Teyo69
IKH Cloud V1.0 (nextSignals)The IKH Cloud V1.0 (nextSignals) is an Ichomoku-type indicator that can be used for various trading strategies. It's based on a ThinkScript study from @stephenharlinmd (aka nextSignals) that uses an instantaneous moving average as the base MA, and a custom trailing stop. Both of these components form the cloud. Indicator Components and Calculation The indicator comprises two key components: Instantaneous Moving Average (IMA) : This is a type of moving average that places a greater weight on the most recent data points, and is based on Ehler's book "Rocket Science for Traders". This is slightly different from the Doc's original, but is very approximate. Trailing Stop : This component helps determine the stop loss level that moves along with the price. The trailing stop is based on the highest high and the lowest low of the last 5 bars, as well as the simple moving averages of the low and high of the previous bar. The trailing stop is calculated separately for each condition: when the bar index is greater than 1 and when the previous 'a' variable is either 1 or 0. These two components are used to create a filled area on the chart, also known as the 'cloud'. The color of the cloud and the candlesticks change based on the relative positions of the IMA and the trailing stop. How to Use the Indicator The following are just ideas on how to use this indicator, and is not financial advice in any form: Trend Identification: When the IMA is above the trailing stop (cloud), it indicates an uptrend, and when it's below, it indicates a downtrend. Entry/Exit Signals: Traders can consider going long when the candlesticks move above the cloud and short when they move below the cloud. Stop Loss Level: The trailing stop line (the cloud's edge) can serve as a dynamic stop loss level. Please don't use just this indicator on its own. Please use this in conjunction with other analysis tools, indicators, and systems you already have in place. Always consider the overall market context and use appropriate risk management strategies.
Indicatore Pine Script®
di BreezeTrades808
5
Gamification IndicatorDo you want your charts to look like a video game? Look no further! Would you rather be an alien racing through a lava tube, a surfer with great white sharks, an airplane flying through the clouds, or some other custom emoji setup of your choice? Traders can choose their own custom player emoji, trend indicator, obstacle emoji, and celestial emoji. This indicator is just for fun and is not intended to be used when making trading decisions. Enjoy! This indicator also contains a live sun/moon emoji that should accurately reflect day/night and can give information about the current moon phases. Shoutout to @citlacom for the public Moon Ephemeris and calculations. Building this indicator was a useful & fun introduction to financial astrology in Pinescript.
Indicatore Pine Script®
di BarefootJoey
2
RSI + MA, LinReg, ZZ (HH HL LH LL), Div, Ichi, MACD and TSI HistRelative Strength Index with Moving Average, Linear Regression, Zig Zag (Highs and Lows), Divergence, Ichimoku Cloud, Moving Average Convergence Divergence and True Strength Index Histogram This script is based on zdmre's RSI script, I revamped a lot of things and added a few indicators from ParkF's RSI script. Disable Labels in the Style tab and the histogram if you don't enlarge the indicator and it seems too small. Look to buy in the oversold area and bounce of the support of the linear regression. Look to sell in the overbought area and bounce of the resistance of the linear regression. Look for retracement to the moving average or horizontal lines, and divergences for potential reversal. RSI The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Moving Average Moving Average (MA) is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Linear Regression The Linear Regression indicator visualizes the general price trend of a specific part of the chart based on the Linear Regression calculation. Zig Zag (Highs and Lows) The Zig Zag indicator is used to identify price trends, and in doing so plots points on the chart to mark whenever prices reverse by a larger percentage point than a predetermined variable or marker. Divergence The divergence indicator warns traders and technical analysts of changes in a price trend, oftentimes that it is weakening or changing direction. Ichimoku Cloud The Ichimoku Cloud is a package of multiple technical indicators that signal support, resistance, market trend, and market momentum. MACD and TSI Histogram MACD can be used to identify aspects of a security's overall trend. The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend.
Indicatore Pine Script®
di Yatagarasu_
20
Confluence TradingThis indicator makes use of the Kumo Cloud, 3EMA and ADX/DI+/DI- indicators. While these can be used separately (green bars show where to long and red bars show where to short), this indicator also shows how their use together can create a more precise estimate on when to enter and exit the market. It is interesting to note that while each of the three indicators individually can predict movements and trend reversals early, having their signals converge into one makes a slower prediction but also a more accurate one. It is a great visual representation of why combining multiple trading techniques or analysis increases odds of winning trades (confluence trading). Do feel free to message me if you wish for me to add any other indicator to the mix or to fix any bugs. The ADX indicator makes use of robertkowalski's code.
Indicatore Pine Script®
di antondmt
2
MA DerivativesMA Derivatives basicly using Ichimoku Cloud and some additional moving averages for traders. A. ICHIMOKU Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2 On a daily chart , this line is the midpoint of the 9-day high-low range, which is almost two weeks. Kijun-sen (Base Line): (26-period high + 26-period low)/2 On a daily chart , this line is the midpoint of the 26-day high-low range, which is almost one month. Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2 This is the midpoint between the Conversion Line and the Base Line. The Leading Span A forms one of the two Cloud boundaries. It is referred to as “Leading” because it is plotted 26 periods in the future and forms the faster Cloud boundary. Senkou Span B (Leading Span B): (52-period high + 52-period low)/2 On the daily chart , this line is the midpoint of the 52-day high-low range, which is a little less than 3 months. The default calculation setting is 52 periods, but it can be adjusted. This value is plotted 26 periods in the future and forms the slower Cloud boundary. Chikou Span: Represents the closing price and is plotted 26 days back. Kumo Cloud: Kumo cloud between Senkuo Span A and Senkou Span B lines. It can be green or red. Color can be change with the trend. You can use Ichimoku for buy&sell strategy For Buying Strategy - Tenkansen (Conversion Line) should crossover Kijunsen (Base line) above the highest line of cloud - Price should be above the highest line of cloud - Chikouspan should be above the cloud For Selling Strategy - Kijunsen (Base Line) should crossover Tenkansen (Conversion Line) below the lowest line of cloud - Price should be below the lowest line of cloud - Chikouspan should be below the cloud B. SIMPLE MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Simple Moving Average 50 -Simple Moving Average 100 -Simple Moving Average 200 C. EXPONENTIAL MOVING AVERAGES The indicator has some of Simple Moving Averages It includes: -Exponential Moving Average 9 -Exponential Moving Average 21 -Exponential Moving Average 50 D. BOLLINGER BAND Bollinger Bands are a type of price envelope developed by John BollingerOpens in a new window. (Price envelopes define upper and lower price range levels.) Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price. Bollinger Bands use 2 parameters, Period and Standard Deviations, StdDev. The default values are 20 for period, and 2 for standard deviations, although you may customize the combinations. Bollinger bands help determine whether prices are high or low on a relative basis. They are used in pairs, both upper and lower bands and in conjunction with a moving average. Further, the pair of bands is not intended to be used on its own. Use the pair to confirm signals given with other indicators. How this indicator works When the bands tighten during a period of low volatility, it raises the likelihood of a sharp price move in either direction. This may begin a trending move. Watch out for a false move in opposite direction which reverses before the proper trend begins. When the bands separate by an unusual large amount, volatility increases and any existing trend may be ending. Prices have a tendency to bounce within the bands' envelope, touching one band then moving to the other band. You can use these swings to help identify potential profit targets. For example, if a price bounces off the lower band and then crosses above the moving average, the upper band then becomes the profit target. Price can exceed or hug a band envelope for prolonged periods during strong trends. On divergence with a momentum oscillator, you may want to do additional research to determine if taking additional profits is appropriate for you. A strong trend continuation can be expected when the price moves out of the bands. However, if prices move immediately back inside the band, then the suggested strength is negated. Calculation First, calculate a simple moving average. Next, calculate the standard deviation over the same number of periods as the simple moving average. For the upper band, add the standard deviation to the moving average. For the lower band, subtract the standard deviation from the moving average. Typical values used: Short term: 10 day moving average, bands at 1.5 standard deviations. (1.5 times the standard dev. +/- the SMA) Medium term: 20 day moving average, bands at 2 standard deviations. Long term: 50 day moving average, bands at 2.5 standard deviations. E. ADJUSTABLE MOVING AVERAGES And this script has also 2 adjustable moving average - 1 Adjustable Simple Moving Average - 1 Adjustable Exponential Moving Average You can just change the length for using this tool.
Indicatore Pine Script®
di ErdemDemir
4
IKH Signals v2Hi, I'm happy to release this new update after few weeks working. Fixes Fix kumo break-out of Chiku span and close price Fix buy trigger and strong buy trigger Improvement Signals take now the kumo thickness and kumo angle Signals does not trigger on doji candles Multi time frame validation is now available I hope this fixes and new features will improve the signals for you too. Let me know if you find strange behavior or possible improvments.
Indicatore Pine Script®
di teixeiraperso
4
【Super Bollinger】The market consists of three phases: an uptrend phase, a downtrend phase, and a range-bound phase.Furthermore, if we include a trend phase and a correction phase, the market has five phases. In other words, the market is classified into the “five phases” as below: 1) Uptrend market (trend phase, upward bias) 2) Downtrend market (trend phase, downward bias) 3) Upward correction phase (correction phase, upward bias) 4) Downward correction phase (correction phase, downward bias) 5) Range-bound phase, sideways (correction phase, basically not biased) For your judgment of the above market trends, Super Bollinger is extremely useful and effective. And Super Bollinger has advantage in judging market price level. そもそも、相場は、5つの局面に分けることができます。 すなわち、 １）上昇トレンド局面（上昇バイアス） ２）下降トレンド局面（下降バイアス） ３）調整の反騰局面（上昇バイアス） ４）調整の反落局面（下降バイアス） ５）レンジ局面（バイアスなし） そして、スーパーボリンジャー、これら5つの局面の判断を下す際にきわめて有効なツールです。また、とりわけ、価格分析に優れたチャートです。 With regard to Chikou Span,this span gives very useful information about (1) the direction of the market (being in an upward bias by buying pressure or in a downward bias by selling pressure) , (2) the timing of buying on the dip or selling on the rally, (3) the market’s temporal rhythm etc.. 遅行スパンに関しては、基本的に、 （1）相場の方向性（買い優勢か売り優勢か） （２）押し目買いや戻り売りのタイミング （３）相場の時間的リズム 等々に関して実に有効な情報を与えてくれます。
Indicatore Pine Script®
di Murphy_FPnet
2
【SpanModel】The Span Model is a very unique chart which shows us especially when to buy and when to sell. And the Span Model has advantage in judging the trade timing. スパンモデルとは、いつ買うか、いつ売るかを教えてくれるとてもユニークなチャートです。とりわけ、トレードのタイミングを判断する上で優れています。 The Span Model is composed of only three lines (spans). They are the Blue Span, the Red Span and the Chikou Span. And a major characteristic of the Span Model is the signals (Span Model Signals) of the two types explained below: 1) Buy signal The buy signal is lit when the Blue Span sits above, and the Red Span sits below. 2) Sell signal The sell signal is lit when the Red Span sits above, and the Blue Span sits below. スパンモデルには、構成要素（３つのスパン）として、青色スパン、赤色スパン、そして、遅行スパンがあります。 スパンモデルの大きな特長として、シグナル（スパンモデルシグナル）があります。そして、２種類のシグナルがあります。 １）買いシグナル 青色スパンが上方、赤色スパンが下方に位置するときに点灯します。 ２）売りシグナル 赤色スパンが上方、青色スパンが下方に位置するときに点灯します。
Indicatore Pine Script®
di Murphy_FPnet
1
InariN CloudSInariN CloudS (INCS) is my custom model of InariN. I usually use INCS in 300 ticks (other software) and 5 minutes charts for day trading. Please read script "InariN simple" for basic usage. I share background and fundamental ideas of day trading and INCS here. I start with the practical conclusion and then explain INCS. Maybe you'll notice that most indicators are unnecessary at the end of this text. Anyway I compile fundamental ideas that I wanted to know as a beginner. (I'll update to finish this text, please wait for some time.) ///Premise of trading/// Market's purpose...facilitating trading Trader's purpose...making money Market is stronger than trader and trader need adjust to market. However trader have controllable side. Market's control...Trend, Volatility Trader's control...Money management, Making Risk:Reward, Choosing and exercising trading strategy ///Simple rule (Conclusion)/// I made simple rule "Just Do It Now" to check essential ideas on every trade. Traders can use thousands of indicators but only use three choices "Buy, Sell and No trade". If you have bad result, you had better suspect not your indicators but your three choices at first. (This is one of the best advice I have ever heard by N jijii.)
Indicatore Pine Script®
di akutsusho
4
Sto RSI and kijun-sen line to determine and follow the trend This script uses 25-75 treshold of stochastic RSI with the help of kijun-sen as confirmation, to find entry points to any trend either newly developed or an established one. I just realized it on the 1 hour SPX chart. Sure it can be used on other symbols. Crossing above/below 25/75 line of sto RSI is considered as buy/sell signal. Signals are evaluated whether price be above/below kijun-sen line. If a sell signal below kijun-sen is generated it is a continuation signal for downtrend, otherwise it is a countertrend signal (maybe a signal for a new downtrend). A countertrend signal must be evaluated carefully and only accepted in the right side of kijun-sen. e.g entering a sell signal generated above kijun-sen should be accepted only below the kijun-sen, vice-versa.
Indicatore Pine Script®
di GurselKona
3
Rainbow Gator - EMAs strategy for Binary OptionThis is an EMAs indicator for Binary Option or Scalping Alert designed for lower Time Frame Trend (2-5minutes). Although you will find it a useful tool for higher time frames as well. The Alerts are generated when the fast EMA cross over/under other slower EMAs, you then have the chance to wait for the pullback during the new trend then enter for trend momentum (follow the trend). Beware when the trend is close to EMA200. You must draw your SRT (Support-Resistance-Trendline) before looking for setups. Good luck.
Indicatore Pine Script®
di MrTuanDoan
5