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Komut dosyalarını "ichimoku" için ara

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.
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satoshisteps tarafından
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)
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crypto_pumpppp tarafından
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.
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Bootcamp0 tarafından
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()
Pine Script® kütüphanesi
blackcat1402 tarafından
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.
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AkmTradingTV tarafından
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
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lmatl tarafından
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
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AGold54 tarafından
6
[blackcat] L3 Cloud PioneerOVERVIEW The L3 Cloud Pioneer indicator combines elements of the Ichimoku Kinko Hyo system with Donchian Channels to provide a robust trend-following tool. This enhanced version includes detailed trade signal labels and alerts, helping traders identify potential entry and exit points more clearly. By plotting dynamic cloud areas and providing visual cues, this indicator aids in making informed trading decisions 📊📉↗️. FEATURES Calculates key Ichimoku components using custom Donchian Channel logic: Conversion Line (based on highest/highest values over specified periods). Base Line. Leading Spans. Lagging Span 2. Plots a dynamic cloud area between Leading Span 1 and Leading Span 2, colored based on trend direction 🎨. Identifies trend changes and provides clear entry/exit signals: LE: Long Entry (when trend turns bullish). SE: Short Entry (when trend turns bearish). XL: Exit Long (price crosses below Leading Span 1 during an uptrend). RL: Re-enter Long (price crosses above Leading Span 1 during an uptrend). XS: Exit Short (price crosses above Leading Span 1 during a downtrend). RS: Re-enter Short (price crosses below Leading Span 1 during a downtrend). Displays corresponding labels on the chart for easy visualization, complete with tooltips for additional information 🏷️. Generates alerts for each signal event to keep users informed about potential trades 🔔. Supports customizable input parameters for conversion line, base line, and lagging span periods ⚙️. HOW TO USE Add the indicator to your TradingView chart by selecting it from the indicators list. Adjust the input parameters (Conversion Line Periods, Base Line Periods, Lagging Span 2 Periods) to fit your preferences. Observe the plotted cloud and labels for trend direction and potential trade opportunities. Set up alerts based on the generated signals to receive notifications when conditions are met 📲. Combine this indicator with other tools for confirmation before making trading decisions. DETAILED SIGNAL LOGIC Trend Determination: The script determines the trend direction by comparing leading_line1 and leading_line2. If leading_line1 is above leading_line2, the trend is considered bullish (isBullish). Otherwise, it's bearish (isBearish). Signal Conditions: Long Entry (LE): Triggered when the trend turns bullish from bearish. Short Entry (SE): Triggered when the trend turns bearish from bullish. Exit Long (XL): Triggered when the price crosses below leading_line1 during an uptrend. Re-enter Long (RL): Triggered when the price crosses above leading_line1 during an uptrend. Exit Short (XS): Triggered when the price crosses above leading_line1 during a downtrend. Re-enter Short (RS): Triggered when the price crosses below leading_line1 during a downtrend. Label Styling: Labels are color-coded for quick identification: Green for long entries and re-entries. Red for short entries and exits. Blue for exiting long positions. Orange for re-entering short positions. Tooltips provide additional context for each label. Alert Configuration: Alerts are generated for each signal condition, ensuring traders are notified promptly. Users can set up these alerts within TradingView by creating new alerts and selecting the appropriate conditions. LIMITATIONS The indicator may lag behind price action due to its use of moving averages and channel calculations 🕒. False signals can occur in choppy or sideways markets 🌪️. Users should always confirm signals with other forms of analysis. NOTES Ensure that you have sufficient historical data available for accurate calculations. Test the indicator thoroughly on demo accounts before applying it to live trading 🔍. Customize the appearance and parameters as needed to fit your trading strategy. For better risk management, consider integrating stop-loss and take-profit levels into your trading plan. To optimize performance, manage old labels by deleting them after a certain period to avoid clutter on the chart.
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blackcat1402 tarafından
Hosoda Time Cycles (Forward + Backward)Hosoda Time Cycles Market Timing Projection Tool The Hosoda Time Cycles indicator is inspired by the legendary Japanese trader Ichimoku Hosoda, who emphasized the power of time in forecasting market behavior. This tool visualizes forward and backward time cycles based on significant price pivots, enabling traders to anticipate potential trend shifts, consolidations, or continuations with high precision. Key Features: Forward & Backward Cycles: Projects future and past time intervals based on selected pivots to reveal cyclical patterns. Manual & Auto Pivot Selection: Choose between automatic detection or manually selected swing highs/lows. Cycle Ratios: Includes traditional Hosoda counts such as 9, 17, 26, 33, 42, and 65 — key numbers in Ichimoku time theory. Multi-Timeframe Utility: Effective across intraday, swing, and long-term charts. Minimalist Overlay: Clean design to avoid clutter while providing powerful cycle insights. Customizable Visuals: Adjustable line styles, colors, and cycle projection lengths for clarity and personalization. Ideal For: Traders focused on time-based confluence, cycle forecasting, and market rhythm detection, especially those who blend price action with Japanese trading techniques.
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idrisskonf06 tarafından
1
TrendMasterPro_FekonomiTrend Change and Start Signals with Weighted Conditions The Trend Change and Start Signals with Weighted Conditions indicator leverages various technical analysis tools to generate reliable buy and sell signals. This indicator helps investors more accurately identify trend changes and start signals in the market. Features: Utilizes popular technical analysis tools such as MACD, RSI, EMA, and Ichimoku Cloud. Enhances signal accuracy with additional indicators like ADX and Volume Increase. Allows users to adjust the weights of each condition to set their importance. The Confidence Level parameter lets you adjust the accuracy rate of the signals. Visual Signals make it easy to track buy and sell points directly on the chart. How It Works: Condition Weights: Users assign weights to indicators like MACD, RSI, EMA, and Ichimoku Cloud. If you have no idea, use default settings. Condition Fulfillment: Checks if the conditions for each indicator are met. Confidence Level: The total weight of the fulfilled conditions must exceed the user-defined confidence level. Signal Generation: When these conditions are met, a buy or sell signal is generated and visually displayed on the chart. Customization: Personalize Signals: By adjusting the weights of the indicators used, you can personalize the signals to match your trading strategy and preferences. Use Cases: Short-Term Investments: Identify quick trend changes for short-term trading decisions. Long-Term Investments: Detect long-term trend starts and changes for strategic investment decisions. Technical Analysis: Combine different technical analysis tools for more comprehensive and reliable analyses. With this indicator, you can better understand market movements and make more informed investment decisions. Try it now and enhance your trading strategy! by Fekonomi
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fekonomi tarafından
Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals. Key Features: - Signal Generation: The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators: - MACD - RSI - SMA - EMA - WMA - Hull MA Additional Analytical Tools: - ATR is used to assess volatility and helps to understand the risk of the current market situation. - SMA Ichimoku does not generate signals but is used to assess their accuracy. - If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement. - If the price is below the SMA, "Buy" signals require additional confirmations. Dashboard: Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are. Advantages of Using: 1. Signal Filtering: The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades. 2. Volatility Analysis: ATR provides additional information about risks and market fluctuations. 3. Comprehensive Approach: Signal generation is based on a combination of key indicators, offering a multifaceted view of the market. Explanation of Percent Calculation in the Table: - The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum. - Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values. Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
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PuffPusher tarafından
1
S&R Precision Cloud by Dr. Abiram Sivprasad -4 directional biasDescription of the Script **Script Name:** S&R Precision Cloud by Dr. Abhiram Sivprasad **Overview:** This script is designed to identify key support and resistance levels using the Central Pivot Range (CPR) methodology along with daily, weekly, and monthly pivots. It incorporates the Lagging Span from the Ichimoku Cloud to enhance decision-making in trading strategies for intraday, swing, and long-term positions mainly for directional bias. --- ### Key Components: 1. **Central Pivot Range (CPR):** - **Central Pivot (CP):** Calculated as the average of the high, low, and close prices. This serves as a reference point for price action. - **Below Central Pivot (BC) and Top Central Pivot (TC):** Derived to create a range that aids in identifying support and resistance levels. 2. **Support and Resistance Levels:** - The script computes three support (S1, S2, S3) and resistance (R1, R2, R3) levels based on the Central Pivot. - These levels are plotted for daily, weekly, and monthly time frames, providing traders with multiple reference points. 3. **Lagging Span:** - The Lagging Span is plotted as the closing price shifted backward by 26 periods (as per Ichimoku settings). - This serves as a filter for trade entries, where positions should only be taken in the direction opposite to where the price is relative to this line. 4. **User Inputs:** - The script allows customization through checkboxes to plot daily, weekly, and monthly support and resistance levels as needed. - Users can choose whether to display CPR and various support/resistance levels for better visual clarity. 5. **Color Coding:** - The support and resistance lines are color-coded to distinguish between different levels (green for support, red for resistance, and blue for pivots). --- ### Trading Strategies: - **Intraday Trading:** - Utilize price movements around the Lagging Span and support/resistance levels for quick trades. - **Swing Trading:** - Identify potential reversal points at S2 and R2 levels, confirmed by divergences in price movement. - **Long-Term Trading:** - Monitor price behavior against the Lagging Span and significant pivot levels to capture longer trends. --- ### Summary: This script equips traders with essential tools for technical analysis by clearly defining critical price levels and incorporating the Lagging Span for directional bias. It is suitable for various trading styles, including intraday, swing, and long-term strategies, making it a versatile addition to any trader’s toolkit.
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abiramsivprasad tarafından
Swiss Knife [MERT]Introduction The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format. --- Key Features Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes. Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection. Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score. Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart. Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots. --- Explanation of Each Indicator Moving Average Convergence Divergence (MACD) - Purpose : Measures the relationship between two moving averages of price. - Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum. Awesome Oscillator (AO) - Purpose : Gauges market momentum by comparing recent market movements to historic ones. - Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum. Parabolic SAR (SAR) - Purpose : Identifies potential reversal points in price direction. - Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend. SuperTrend - Purpose : Determines the prevailing market trend. - Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line. Detrended Price Oscillator (DPO) - Purpose : Removes trend from price to identify cycles. - Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below. Relative Strength Index (RSI) - Purpose : Measures the speed and change of price movements. - Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum. Stochastic Oscillator - Purpose : Compares a particular closing price to a range of its prices over a certain period. - Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions. Bollinger Bands (BB) - Purpose : Measures market volatility and provides relative price levels. - Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness. Ichimoku Cloud - Purpose : Provides support and resistance levels, trend direction, and momentum. - Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud. Chande Momentum Oscillator (CMO) - Purpose : Measures momentum on both up and down days. - Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum. Donchian Channels - Purpose : Identifies volatility and potential breakouts. - Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout. Average Directional Index (ADX) - Purpose : Measures the strength of a trend. - Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend. Volume Momentum Indicators (VolMom, CumVolMom, POCMom) - Purpose : Analyze volume to assess buying and selling pressure. - Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum. Fractals - Purpose : Identify potential reversal points in the market. - Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend. Divergence Detection - Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line). - Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal. - Note : This functionality utilizes the library from Divergence Indicator . --- Coloring Scheme Background Color - Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes. - Interpretation : - Green Shades : Indicate bullish market sentiment. - Red Shades : Indicate bearish market sentiment. - Intensity : The strength of the color corresponds to the strength of the sentiment score. Sentiment Table - Purpose : Displays the status of each indicator across different timeframes. - Interpretation : - Green Cell : The indicator suggests a bullish signal. - Red Cell : The indicator suggests a bearish signal. - Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe. Exponential Moving Averages (EMAs) - Purpose : Provide dynamic support and resistance levels. - Colors : - EMA 10 : Lime - EMA 20 : Yellow - EMA 50 : Orange - EMA 100 : Red - EMA 200 : Purple Trendlines - Purpose : Visual representation of support and resistance levels based on pivot points. - Interpretation : - Upward Trendlines : Colored green , indicating support levels. - Downward Trendlines : Colored red , indicating resistance levels. - Note : Trendlines are drawn using the library from Simple Trendlines . --- Utility of Market Sentiment The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by: Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend. Identifying Reversals : Divergences and fractals can signal potential turning points. Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades. --- Divergences Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal. - Bullish Divergence : Price makes a lower low, but the indicator makes a higher low. - Bearish Divergence : Price makes a higher high, but the indicator makes a lower high. The indicator detects divergences for: RSI MACD Stochastic Oscillator On-Balance Volume (OBV) Money Flow Index (MFI) Accumulation/Distribution Line (A/D Line) By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly. --- Trendlines Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points: - Upward Trendlines (Support) : Connect higher lows, indicating an uptrend. - Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend. These trendlines help traders visualize the trend direction and potential breakout or reversal points. --- Super Trend Reversals (ST Reversal) The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders: Engage Early : Enter the market as reversal momentum builds up. Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes. By capturing these reversal points, traders can enhance their trading performance. --- Conclusion The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions. --- Citations - Divergence Detection Library : Divergence Indicator by DevLucem - Trendline Drawing Library : Simple Trendlines by HoanGhetti --- Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions. ---
Pine Script® göstergesi
mertenes3 tarafından
10
MyLibraryLibrary "MyLibrary" This library contains various trading strategies and utility functions for Pine Script. simple_moving_average(src, length)   simple_moving_average @description Calculates the Simple Moving Average (SMA) of a given series.   Parameters:      src (float) : (series float) The input series (e.g., close prices).      length (int) : (int) The number of periods to use for the SMA calculation.   Returns: (series float) The calculated SMA series. exponential_moving_average(src, length)   exponential_moving_average @description Calculates the Exponential Moving Average (EMA) of a given series.   Parameters:      src (float) : (series float) The input series (e.g., close prices).      length (simple int) : (int) The number of periods to use for the EMA calculation.   Returns: (series float) The calculated EMA series. safe_division(numerator, denominator)   safe_division @description Performs division with error handling for division by zero.   Parameters:      numerator (float) : (float) The numerator for the division.      denominator (float) : (float) The denominator for the division.   Returns: (float) The result of the division, or na if the denominator is zero. strategy_moving_average_crossover(shortLength, longLength)   strategy_moving_average_crossover @description Implements a Moving Average Crossover strategy.   Parameters:      shortLength (int) : (int) The length for the short period SMA.      longLength (int) : (int) The length for the long period SMA.   Returns: (series float, series float, series bool, series bool) The short SMA, long SMA, crossover signals, and crossunder signals. strategy_rsi(rsiLength, overbought, oversold)   strategy_rsi @description Implements an RSI-based trading strategy.   Parameters:      rsiLength (simple int) : (int) The length for the RSI calculation.      overbought (float) : (float) The overbought threshold.      oversold (float) : (float) The oversold threshold.   Returns: (series float, series bool, series bool) The RSI values, long signals, and short signals. ichimoku_cloud(convPeriod, basePeriod, spanBPeriod, laggingSpanPeriod)   ichimoku_cloud @description Computes Ichimoku Cloud components.   Parameters:      convPeriod (int) : (int) The conversion line period.      basePeriod (int) : (int) The base line period.      spanBPeriod (int)      laggingSpanPeriod (int)   Returns: (series float, series float, series float, series float, series float) The conversion line, base line, leading span A, leading span B, and lagging span. strategy_ichimoku_conversion_baseline()   strategy_ichimoku_conversion_baseline @description Implements an Ichimoku Conversion Line and Baseline strategy.   Returns: (series float, series float, series bool, series bool) The conversion line, baseline, crossover signals, and crossunder signals. debug_print(labelText, value, barIndex)   debug_print @description Prints values to the chart for debugging purposes.   Parameters:      labelText (string) : (string) The label text.      value (float) : (float) The value to display.      barIndex (int) : (int) The bar index where the label should be displayed.
Pine Script® kütüphanesi
A_KiTTY tarafından
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.
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BreezeTrades808 tarafından
5
X48 - Strategy | BreakOut & Consecutive (11in1) + Alert | V.1.2================== Read This First Before Use This Strategy ============== *********** Please be aware that this strategy is not a guarantee of success and may lead to losses. *********** Trading involves risk and you should always do your own research before making any decisions. ================= Thanks Source Script and Explain This Strategy =================== ► Description Write a detailed and meaningful description that allows users to understand how your script is original, what it does, how it does it and how to use it This Strategy Are Combine Strategy and Indicators Alert Function For Systematic Trading User. Strategy List, Thanks For Original Source Script , From Tradingview Build-in Script From fmzquant Github // Channel BreakOut Strategy : Calculate BreakOut Zone For Buy and Sell. // Consecutive Bars UP/Down Strategy : The consecutive bars up/down strategy is a trading strategy used to identify potential buy and sell signals in the stock market. This strategy involves looking for a series of bars (or candles) that are either all increasing or all decreasing in price. If the bars are all increasing, it can be a signal to buy, and if the bars are all decreasing, it can be a signal to sell. This strategy can be used on any timeframe, from a daily chart to an intraday chart. // 15m Range Length SD : Range Of High and Low Candle Price and Lookback For Calculate Buy and Sell. Indicators Are Simple Source Script (Almost I'm Chating With CHAT-GPT and Convert pinescript V4 to V5 again for complete almost script and combine after) // SwingHigh and SwingLow Plot For SL (StopLoss by Last Swing). // Engulfing and 3 Candle Engulfing Plot. // Stochastic RSI for Plot and Fill Background Paint and Plot TEXT For BULL and BEAR TREND. // MA TYPE MODE are plot 2 line of MA Type (EMA, SMA, HMA, WMA, VWMA) for Crossover and Crossunder. // Donchian Fans MODE are Plot Dot Line With Triangle Degree Bull Trend is Green Plot and Bear Trend is Red Plot. // Ichimoku Cloud Are Plot Cloud A-B For Bull and Bear Trend. // RSI OB and OS for TEXT PLOT 'OB' , 'OS' you will know after OB and OS, you can combo with other indicators that's make you know what's the similar trend look like? // MACD for Plot Diamond when MACD > 0 and MACD < 0, you can combo with other indicators that's make you know what's the similar trend look like? Alert Can Alert Sent When Buy and Sell or TP and SL, you can adjust text to alert sent by your self or use default setting. ========== Let'e Me Explain How To Use This Strategy ============= ========== Properties Setting ========== // Capital : Default : 1,000 USDT For Alot Of People Are Beginner Investor = It's Capital Your Cash For Investment // Ordersize : Default Are Setting 5% / Order We Call Compounded ========== INPUT Setting ========== // First Part Use Must Choose Checkbox For Use of Strategy and Choose TP/SL by Swing or % (can choose both) // In Detail Of Setting Are Not Too Much, Please Read The Header Of Setting Before Change The Value // For The Indicator In List You Want To Add Just Check ✅ From MODE Setting, It's Show On Your Chart // You Can Custom TP/SL % You Want ========== ##### No trading strategy is guaranteed to be 100% successful. ###### ========= For Example In My Systematic Trading Select 1/3 Strategy Setting TP/SL % Match With Timeframe TP Long Are Not Set It's Can 161.8 - 423.6% but Short Position Are Not Than 100% Just Fine From Your Aset Choose Indicators For Make Sure Trend and Strategy are the same way like Strategy are Long Position but MACD and Sto background is bear. that's mean this time not open position. Donchian Fans is Simple Support and Ressistant If You Don't Know How To Plot That's, This indicator plot a simple for you ><. Make Sure With Engulfing and 3 Candle Engulfing If You Don't Know, What's The Engulfing, This Indicator are plot for you too ><. For a Big Trend You can use Ichimoku Cloud For Check Trend, Candle Upper Than Cloud or Lower Than Cloud for Bull and Bear Trend.
Pine Script® stratejisi
X4815162342 tarafından
11
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.
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BarefootJoey tarafından
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.
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Yatagarasu_ tarafından
19
Playing the crossFor this script i used Kijun-sen from Ichimoku Cloud and Moving Average. Kijun-sen is the base line of the Ichimoku Cloud or the midpoint price of the last 26 period. Moving Average is a constantly updated average price of a given range. In this script i used the standard Kijun-sen settings and the Moving Average, 55 length. You will get an red or green signal when the lines cross each other. Try the indicator yourself to see, why it could be useful. A special thanks to @norok and @happyCloud1537 for teaching me! This will lead to more scripts from my side, since i really like to code and trade.
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Glenn234 tarafından
Momentum CloudThis is a modified Ichimoku Cloud: -The default Lookback-Length and Displacement settings have been modified to operate optimally on 24/7 markets - which is popular among Crypto analysts. -The Lagging Span, Base Line, and Conversion Line have been removed - leaving just the bare cloud. -Additionally, the Cloud's color will shift blue when it is compressed. (More specifically - when Leading Span A retreats to Leading Span B, the color changes.) This allows the user to easily identify when the Cloud is "thinning", either to the upside, or the downside. Being that the "spread" or "width" of an Ichimoku Cloud generally gauges it's efficacy as potential Support or Resistance, this tool is particularly useful for highlighting when momentum is weakening. *This script will be updated in the future to allow the user to view the Momentum Cloud of alternate time-frames! (e.g, Viewing the 1D Momentum Cloud on the 1H timeframe)
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TheRiskChair tarafından
1 Indicator to rule them allThe best combination indicator consisting of 4 SMA's, 4 EMA's, Donchian Channels, Parabolic SAR, Bollinger Bands, Ichimoku Cloud, a trend strength highlight for the bollinger bands background according to the ADX, labels on the chart to draw in when the Directional Index plus and minus cross, and a background highlight for low and high volatility according to the Historical Volatility Percentile. The Indicators and placed and group intentionally, with the SMA and EMA's next to the Donchian Channels to draw in areas of support and resistance, with the parabolic SAR afterwards for confirmation on entries and exits. Next are the Bollinger Bands and the Ichimoku cloud, which when used in combination by an experienced trader allows one to see the trend and spot any developing opportunities at a glance. These can be used in combination with the ADX background in the bolls to point out when trends start and end. The Directional Indexes crossing implies a equilibrium point has been reached between the buy and selling pressure. Finally the background highlight according to low and high periods of volatility does well to ensure you're entering into the best trades at the best times. These indicators used together in combo with momentum oscillators will lead to a full and complete picture of the trend and the most likely places for future price to come, allowing a holistic view and confluence between different, noncollinear indicators to paint occam's razor onto the charts.
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Mr_Minnor tarafından
3
Moving Avareges CrossIn this script I have combined 3 indicators Ichimoku, Heiken Ashi and Moving Average Exponential. In this strategy, you should first look for the current market trend in low time frames. Then look at the higher time frames to decide if you are in the right place to enter the trade. For example, in 1 minute time frame, we first look at whether the two averages 21 and 233 had a cross or not. If the moving average of 21 crosses the moving average of 233 from the bottom up and the end of the line moves the moving average of 233 upwards, it can be concluded The market trend in time frame has changed for 1 minute and is up. Then we refer to the time frames of 3, 5 and 15 minutes and check the same conditions there. If 3 of the 4 time frames have the same conditions, we use Heiken Ashi to check the strength of the wave that is formed. And also by looking at Ichimoku we will see where this Kumo cloud formed this wave. If these conditions are met, a serious decision can be made to enter the position. Higher time frames such as 30 minutes or 1 hour and 4 hours can also be used to find important resistance and support pivots. In this way, the average of 233 and 21 and the formation of the current candlestick give us an acceptable range for fluctuation.
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ShahramAbaei tarafından