Mulai

Osilator Terpusat / Centered Oscillators

Dual MACD📘 Dual MACD — Synopsis The Dual MACD indicator displays two separate MACD systems inside the same pane, allowing traders to compare fast and slow momentum behavior simultaneously. What It Includes Two fully adjustable MACDs MACD 1 default: 12 / 12 / 9 MACD 2 default: 8 / 20 / 6 Show/Hide Toggles so each MACD can be viewed independently or together. MACD Lines, Signal Lines, and Histograms for both systems. Clean layout with a compact panel title: “MACD x2” What It Helps You See Short-term vs. longer-term momentum shifts Faster MACD reacting to quick trend changes Slower MACD confirming or filtering signals Trend strength, momentum acceleration, and crossover behavior in a single pane Why It’s Useful The Dual MACD gives you momentum confirmation, fakeout filtering, and multi-speed trend insight—making it valuable for scalpers, intraday traders, and swing traders who want to reduce noise and improve signal quality.
Indikator Pine Script®
oleh Simon20cent
1
Patrice - GC M1 Bot (MACD EMA RSI)//@version=6 indicator("Patrice - GC M1 Bot (MACD EMA RSI)", overlay = true) //---------------------- // Inputs (optimisés GC) //---------------------- emaLenFast = input.int(9, "EMA rapide") emaLenSlow = input.int(14, "EMA lente") rsiLen = input.int(14, "RSI length") atrLen = input.int(14, "ATR length") volLen = input.int(20, "Volume moyenne") slMult = input.float(0.4, "SL = ATR x", step = 0.1) tpMult = input.float(0.7, "TP = ATR x", step = 0.1) minAtr = input.float(0.7, "ATR minimum pour trader", step = 0.1) maxDistEmaPct = input.float(0.3, "Distance max EMA9 (%)", step = 0.1) //---------------------- // Indicateurs //---------------------- ema9 = ta.ema(close, emaLenFast) ema14 = ta.ema(close, emaLenSlow) = ta.macd(close, 12, 26, 9) hist = macdLine - signalLine rsi = ta.rsi(close, rsiLen) atr = ta.atr(atrLen) volMa = ta.sma(volume, volLen) //---------------------- // Session 9:30 - 11:00 (NY) //---------------------- hourSession = hour(time, "America/New_York") minuteSession = minute(time, "America/New_York") inSession = (hourSession == 9 and minuteSession >= 30) or (hourSession > 9 and hourSession < 11) or (hourSession == 11 and minuteSession == 0) //---------------------- // Filtres vol / ATR / distance EMA //---------------------- volFilter = volume > volMa atrFilter = atr > minAtr distEmaPct = math.abs(close - ema9) / close * 100.0 distFilter = distEmaPct < maxDistEmaPct //---------------------- // Tendance //---------------------- bullTrend = close > ema9 and close > ema14 and ema9 > ema14 bearTrend = close < ema9 and close < ema14 and ema9 < ema14 //---------------------- // MACD : 2e barre //---------------------- bullSecondBar = hist > 0 and hist > 0 and hist <= 0 bearSecondBar = hist < 0 and hist < 0 and hist >= 0 //---------------------- // Filtres RSI //---------------------- rsiLongOk = rsi < 70 and rsi >= 45 and rsi <= 65 rsiShortOk = rsi > 30 and rsi >= 35 and rsi <= 55 //---------------------- // Gestion du risque (simple pour l'instant) //---------------------- canTradeRisk = true //---------------------- // Conditions d'entrée //---------------------- longCond = bullTrend and bullSecondBar and rsiLongOk and inSession and volFilter and atrFilter and distFilter and canTradeRisk shortCond = bearTrend and bearSecondBar and rsiShortOk and inSession and volFilter and atrFilter and distFilter and canTradeRisk //---------------------- // SL / TP (info seulement, pas d'ordres) //---------------------- slPoints = atr * slMult tpPoints = atr * tpMult longSL = close - slPoints longTP = close + tpPoints shortSL = close + slPoints shortTP = close - tpPoints //---------------------- // Visuels //---------------------- plot(ema9, title = "EMA 9") plot(ema14, title = "EMA 14") plotshape(longCond, title = "Signal Long", style = shape.triangleup, location = location.belowbar, size = size.tiny, text = "L") plotshape(shortCond, title = "Signal Short", style = shape.triangledown, location = location.abovebar, size = size.tiny, text = "S") //---------------------- // Conditions d'ALERTE //---------------------- alertcondition(longCond, title = "ALERTE LONG", message = "Signal LONG Patrice GC bot") alertcondition(shortCond, title = "ALERTE SHORT", message = "Signal SHORT Patrice GC bot")
Indikator Pine Script®
oleh patlarouche6
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals. It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data. Core Concepts Wick-to-Body Analysis The script evaluates the ratio of upper and lower wicks to the total candle range. Strong wicks with relatively small bodies are treated as rejections : Long upper wick → potential selling pressure / rejection of higher prices Long lower wick → potential buying pressure / rejection of lower prices Close Position Analysis The close is normalized within the candle range: Close near the high → bullish pressure Close near the low → bearish pressure Close near the middle → more neutral , context taken from wicks and volume Volume Delta Estimation Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics: Bull candles receive more “buying volume,” weighted toward closes near the high Bear candles receive more “selling volume,” weighted toward closes near the low This is an approximation of order flow, not a direct time & sales feed. Absorption Detection The script looks for candles where volume is high but price movement is relatively small . This combination often suggests: Bullish absorption → buyers absorbing aggressive selling (potential accumulation) Bearish absorption → sellers absorbing aggressive buying (potential distribution) Absorption zones are tracked over a configurable lookback and can be shaded in the background. Composite Pressure Oscillator All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score : Values > 0 → net buying pressure Values < 0 → net selling pressure The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line. Divergence Detection The indicator compares price pivots to pressure pivots: Bullish divergence : price makes a lower low while pressure makes a higher low Bearish divergence : price makes a higher high while pressure makes a lower high These conditions can help highlight potential exhaustion or hidden participation from larger players. Visual Elements Histogram showing the intensity of buying/selling pressure Color-coding for increasing vs. decreasing pressure Background shading for detected absorption zones Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time How To Use Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure. Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about. Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves. Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework. Important Notes & Limitations This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles. Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets. Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
Indikator Pine Script®
oleh kingthies
1
CSS_LFU_v0.1Overview: A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution. Core Modules: AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop. QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points. Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA. WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals. Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends. Signal Logic: Each module outputs a discrete score (+1 / 0 / -1). The rolling composite score sums all module scores over the lookback period. Long positions trigger when the rolling score meets or exceeds the long threshold. Short positions trigger when the rolling score meets or falls below the short threshold. Multi-dimensional signal aggregation reduces false positives from single indicators. Rolling lookback ensures score normalization across different volatility regimes. Highly modular: easy to adapt modules or weights to different instruments or timeframes. Fully compatible with automated execution pipelines, including custom exchange screener bots. Use Case: Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
Strategi Pine Script®
oleh losfalco-User-1f670
Momentum + Volume Percentile This advanced momentum indicator combines smoothed momentum analysis with percentile-based volume filtering to identify high-quality trading opportunities backed by significant market participation. How It Works: The indicator calculates momentum (rate of change) over a customizable period and applies multiple smoothing techniques to reduce noise. It then filters price action by highlighting only periods where volume exceeds a specified percentile threshold. The algorithm: Calculates raw momentum based on price changes over the specified period Applies customizable smoothing (SMA, EMA, WMA, or HMA) to the momentum values Computes a moving average of the smoothed momentum as a trend reference Analyzes volume over a lookback period to establish percentile rankings Highlights candles where volume exceeds the percentile threshold with color-coded backgrounds Distinguishes between bullish (green) and bearish (red) high-volume events
Indikator Pine Script®
oleh andreapsoroulas21
Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST. Key differences from the classic KST - Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag. - This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable. - ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy. - Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had. How traders actually use it in >2026 1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish). 2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly). 3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100). 4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross. Best settings I and many others run live right now (no table, just the winners) - Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals. - Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw. - Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground. - Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90. In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Indikator Pine Script®
oleh EMA34TRADER
8
Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about. This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes. How do the available alternatives differ (while some’re just worse)? Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity. The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median. Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it. Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime. How to set it up: Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256. However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16. Additionally if you wanna use all data to estimate SNR, put 0 into length input. How to use for regime detection: First we define: MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better. The study plots 3 horizontal thresholds for VSNR, just check its location: Above upper level: significant Momo bias Above 1 : Momo bias Below 1 : MR bias Below lower level: significant MR bias Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime: ^^ CBOT:ZN1! ^^ INDEX:BTCUSD How to use as automatic volatility threshold scaler Copy the code from the script, and use VSNR as a multiplier for your volatility threshold. E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive. ^^ The same logic as when MM bots widen spreads with vola goes wild. How it works: Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential. Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold. We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma. Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns. … Lightweight huh? ∞
Indikator Pine Script®
oleh gorx1
4
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets. By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones 🔶 USAGE The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales. By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret. A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals. 🔹 Unified Momentum Structure The indicator’s core strength comes from combining five Z-scored signals into one average. Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction. 🔹 Divergence Detection The tool includes fully integrated divergence detection: Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low. Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious. 🔹 Visual Extremes Two sets of upper and lower Z-score thresholds help identify: Extreme overbought surges Extreme oversold drops Reversal zones Potential exhaustion conditions Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure. 🔹 Detecting Momentum Anomalies Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history. For example: The oscillator reaching +1 or –1 after an extended trend may indicate a climax. A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move. Divergences often appear earlier due to normalization smoothing out indicator noise. This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss. 🔶 DETAILS 🔹 Composite Z-Score Framework Each momentum tool is smoothed, normalized, and transformed: RSI → EMA-smoothed, Z-scored MACD histogram → Z-scored Stochastic → EMA + SMA smoothing, then Z-scored Momentum → EMA-smoothed, Z-scored Rate of Change → EMA-smoothed, Z-scored These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions. 🔹 Fusion Trend Lines Two lines serve as the core signal: Fast Line (savg) – reacts quicker to trend changes Slow Line (savg2) – acts as a baseline filter Crossovers between these lines highlight momentum shifts, while their color reflects trend bias. 🔹 Overbought/Oversold Zones Two upper and two lower Z-score thresholds define “zones”: Upper zones highlight overheated momentum or potential bearish reversals Lower zones highlight depressed momentum or potential bullish reversals Filled regions and background colors help visually confirm extreme conditions. 🔹 Pivot-Based Divergence Engine The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven. 🔶 SETTINGS 🔹 Indicator Settings Source — Price series used for all calculations. Z-Score Length — Lookback period for Z-score normalization. Z-Score MA Length — Smoothing length for the fusion signal lines. Overbought/Oversold Levels — Four customizable threshold lines. Color Palette — Choose from preset themes or define custom colors. 🔹 RSI Length — RSI calculation period. EMA Smoothing Length — Smooths RSI before Z-score conversion. 🔹 MACD Fast Length — Fast EMA length. Slow Length — Slow EMA length. Signal Line Length — MACD signal smoothing. 🔹 Stochastic %K Length — Main stochastic length. EMA Smoothing — Smooths %K for stability. %D Length — Smoothing for the signal line. 🔹 Momentum Length — Momentum lookback. EMA Smoothing — Smooths momentum before Z-scoring. 🔹 Rate of Change Length — ROC lookback. EMA Smoothing — Smooths ROC values. 🔹 Divergence Enable/Disable Divergence Detection — Toggle divergence engine. Pivot Left/Right Lookback — Defines pivot detection sensitivity. Detection Range Limits — Controls allowable range for divergence. Bull/Bear Colors & Styling — Customize divergence visualization. 🔶 SUMMARY The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to: Identify reversals early Detect momentum exhaustion Spot bullish and bearish divergences Track overbought/oversold conditions Visualize trend strength with clarity Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
Indikator Pine Script®
oleh LyroRS
NICHI Beta (NuwenPham's Ichimoku)# **NuwenPham’s Ichimoku (NICHI)** **Version BETA.251123a.3.1.2 – Pine Script v6** **Author:** NuwenPham **Forked from:** Donovan Wall **Contributors:** Claude (Anthropic) **License:** MPL 2.0 --- # **Overview** **NICHI (Nuwen’s Ichimoku)** is a next-generation Ichimoku system that merges the classical Hosoda Ichimoku with a modular adaptive-smoothing engine, enhanced Kumo logic, directional trend counters, and multi-mode bar coloring. The indicator includes **two completely separate Ichimoku engines**: * **Standard Ichimoku** – Traditional Donchian-based Tenkan, Kijun, Senkou A/B, and Chikou * **Advanced Ichimoku** – Fully customizable Ichimoku using 15+ moving-average filters and enhanced logic NICHI is designed for modern markets—especially **futures and volatile instruments** (NG, CL, ES, NQ, crypto). --- # **Key Features** ## **1. Dual Ichimoku Systems** * **Standard Mode:** Classic Donchian Ichimoku with Tenkan, Kijun, Senkou A/B, and Chikou. Clean, faithful implementation. * **Advanced Mode:** Every Ichimoku line uses a **selected smoothing filter** (EMA, KAMA, FRAMA, Hull, McGinley, etc.). Includes directional persistence tracking, enhanced cloud logic, and adaptive bar coloring. --- ## **2. Advanced Filter Engine (15+ Smooth Types)** Use any of the following for Tenkan, Kijun, Senkou B, or Chikou: * EMA * DEMA * SMA * SMMA (RMA) * WMA * VWMA * Hull MA * ALMA * LSMA (Linear Regression) * McGinley Dynamic * KAMA * FRAMA * COVWMA * Moving Median * 50th Percentile (Nearest Rank) This transforms Ichimoku into an **adaptive trend system**. --- ## **3. Enhanced Cloud (Kumo) Modeling** * Independent forward offsets for Span A & Span B * Cloud colors adapt based on strength, direction, and filter behavior * Cloud thickness reflects volatility * Neutral cloud state available when spans disagree --- ## **4. Directional Persistence Counters** NICHI tracks the **trend streak** of each main component: * Tenkan rising/falling * Kijun rising/falling * Span A rising/falling * Span B rising/falling These counters make cloud and line colors more accurate and stable. --- ## **5. Regime-Based Bar Coloring (3 Modes)** NICHI includes three built-in trading frameworks: ### **Mode 1: Kumo-Based** Bar color reflects price relative to the cloud: * Green = Above Kumo * Red = Below Kumo * Orange = Inside Kumo Ideal for **trend-following** and **market regime detection**. --- ### **Mode 2: Tenkan/Kijun-Based** Bar color reflects momentum structure: * Green = Price above both Tenkan & Kijun * Red = Price below both Designed for **momentum entries and TK breakouts**. --- ### **Mode 3: Chikou-Based** Bars reflect historical confirmation: * Green = Chikou > price (offset period) * Red = Chikou < price Excellent for **confirmation-first strategies** where accuracy matters most. --- ## **6. Multi-MA Overlay System** Up to **four optional moving averages**: * SMA, EMA, SMMA, WMA, HMA, VWMA * Independent lengths, widths, colors * Useful for bias, confluence, trend filters Default: **SMA 200** enabled. --- ## **7. TK Cross Signals** Both systems show TK crosses: * Standard TK Cross (classic) * Advanced TK Cross (filtered version) Crosses appear with clear markers for entry/exit logic. --- # **How to Use NICHI** ## **1. Choose Your Engine** * **Standard:** Clean, classic Ichimoku * **Advanced:** Adaptive, filter-driven Ichimoku * **Both:** Comparative analysis --- ## **2. Select Your Filter Type (Advanced Mode)** Suggested filters: | Market | Filter Type | Notes | | ---------------- | ---------------- | -------------------------- | | Natural Gas (NG) | KAMA or FRAMA | Handles extreme volatility | | Crude Oil (CL) | McGinley Dynamic | Smooths spikes | | ES / NQ | SMMA or WMA | Balanced response | | Crypto | Hull or ALMA | Handles momentum bursts | | FX | EMA or SMMA | Classic, stable | --- ## **3. Choose a Bar-Color Strategy** * **Kumo-Based:** Trend following * **TK-Based:** Momentum and breakouts * **Chikou-Based:** Highest confirmation/accuracy Each strategy is valid and intentionally distinct. --- ## **4. Reading the Cloud** * **Bullish Cloud:** Span A > Span B * **Bearish Cloud:** Span A < Span B * **Neutral Cloud:** Disagreement between spans * **Thick Cloud:** High volatility / stronger structure * **Thin Cloud:** Weak trend / potential twist --- ## **5. Entry & Exit Concepts** ### **Entries** * **Momentum Entry:** TK cross with price above the cloud * **Reversal Entry:** TK cross before a cloud twist * **Confirmation Entry:** Chikou breaks cleanly above/below past price ### **Exits** * Price falling through Kijun * Re-entering the cloud * Opposite TK cross * Cloud flipping against position --- # **Recommended Trading Approaches** ## **Kumo-Based Trend Strategy** * Long above cloud, short below * Avoid signals inside cloud Best for swing/position trading. --- ## **TK-Based Momentum Strategy** * Enter on Tenkan/Kijun breakout * Bar color confirms momentum * Cloud filter optional but helps Great for high-velocity markets. --- ## **Chikou-Based Confirmation Strategy** * Enter only when Chikou confirms structure * Highest accuracy, fewest trades * Ideal for volatile markets (NG, CL) --- # **Closing Notes** NICHI is a **research-grade Ichimoku framework** designed to handle modern volatility where traditional Ichimoku often fails. It supports scalpers, swing traders, and system developers alike. Experiment with: * Filter types * Cloud offsets * Bar-color modes * MA overlays to match your strategy and market.
Indikator Pine Script®
oleh NuwenPham
Project 1 - Complete with CMF and All IndicatorsProject 1 – Multi-Indicator Suite This script combines several widely-used technical indicators into a single visual framework. It is designed to help traders track momentum, trend strength, volume behavior, and money flow without switching between multiple tools. Included components: • MACD with dynamic color changes • RSI with percentage change and directional marker • ADX with trend-strength shading and Δ% calculation • CMF (Chaikin Money Flow) with positive/negative flow tracking • Volume Oscillator for short–long volume pressure • Auto-updated labels for RSI, ADX, and CMF • Lightweight visual lines to show momentum changes Use cases: • Trend confirmation • Momentum diagnostics • Volume-based pressure analysis • Money-flow direction and strength • Multi-factor confluence without indicator stacking This tool does not generate buy/sell signals and does not imply trading outcomes. It is a visual analytics suite built for discretionary technical analysis.
Indikator Pine Script®
oleh m57000
MA200 Parallel ChannelDynamic MA100 Parallel Bands – Precision S/R Levels This indicator builds a clean, parallel channel around the 100-period moving average using a fixed ±4 offset. Because the offset mirrors the short-term MA1 fluctuations, the channel reveals highly accurate support and resistance zones that react instantly to market micro-structure. Unlike Bollinger Bands—which expand with volatility—this tool stays perfectly parallel and trend-aligned, making breakouts and pullbacks incredibly easy to spot. How it works: Centerline: 100-period moving average (MA100) Upper Band: MA100 + 4 Lower Band: MA100 – 4 MA1 used as a sensitivity reference for micro-trend behavior Parallel structure ensures stable, predictable levels Why it’s powerful: The ±4 channel creates extremely precise S/R zones Price respecting the lower band = dynamic support Price rejecting the upper band = dynamic resistance A clean break above or below the bands highlights strong momentum shifts Perfect for intraday traders needing structure without noise Perfect for: Identifying high-probability bounce levels Spotting early trend continuation Confirming MA100 breakouts Filtering weak signals and fake volatility spikes If you want razor-sharp support & resistance levels that stay consistent across all timeframes, these MA100 parallel bands deliver exceptional clarity.
Indikator Pine Script®
oleh S_P_X_500
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Indikator Pine Script®
oleh RWCS_LTD
Hash Momentum IndicatorHash Momentum Indicator Overview The Hash Momentum Indicator provides real-time momentum-based trading signals with visual entry/exit markers and automatic risk management levels. This is the indicator version of the popular Hash Momentum Strategy, designed for traders who want signal alerts without backtesting functionality. Perfect for: Live trading, automation via alerts, multi-indicator setups, and clean chart visualization. What Makes This Indicator Special 1. Pure Momentum-Based Signals Captures price acceleration in real-time - not lagging moving average crossovers. Enters when momentum exceeds a dynamic ATR-based threshold, catching moves as they begin accelerating. 2. Automatic Risk Management Visualization Every signal automatically displays: Entry level (white dashed line) Stop loss level (red line) Take profit target (green line) Partial TP levels (dotted green lines) 3. Smart Trade Management Trade Cooldown: Prevents overtrading by enforcing waiting period between signals EMA Trend Filter: Only trades with the trend (optional) Session Filters: Trade only during Tokyo/London/New York sessions (optional) Weekend Toggle: Avoid low-liquidity weekend periods (optional) 4. Clean Visual Design 🟢 Tiny green dot = Long entry signal 🔴 Tiny red dot = Short entry signal 🔵 Blue X = Long exit 🟠 Orange X = Short exit No cluttered labels or dashboard - just clean signals 5. Professional Alerts Ready Set up TradingView alerts for: Long signals Short signals Long exits Short exits How It Works Step 1: Calculate Momentum Momentum = Current Price - Price Normalized by standard deviation for consistency Must exceed ATR × Threshold to trigger Step 2: Confirm Acceleration Momentum must be increasing (positive momentum change) Price must be moving in signal direction Step 3: Apply Filters EMA Filter: Long only above EMA, short only below EMA (if enabled) Session Filter: Check if in allowed trading session (if enabled) Weekend Filter: Block signals on Sat/Sun (if enabled) Cooldown: Ensure minimum bars passed since last signal Step 4: Generate Signal All conditions met = Entry signal fires Lines automatically drawn for entry, stop, and targets Step 5: Exit Detection Opposite momentum detected = Exit signal Stop loss or take profit hit = Exit signal Lines removed from chart ⚙️ Settings Guide Core Strategy Momentum Length (Default: 13) Number of bars for momentum calculation. Higher values = stronger signals but fewer trades. Aggressive: 10 Balanced: 13 Conservative: 18-24 Momentum Threshold (Default: 2.25) ATR multiplier for signal generation. Higher values = only trade the biggest momentum moves. Aggressive: 2.0 Balanced: 2.25 Conservative: 2.5-3.0 Risk:Reward Ratio (Default: 2.5) Your target profit as a multiple of your risk. With 2.2% stop and 2.5 R:R, your target is 5.5% profit. Conservative: 3.0+ (need 25% win rate to profit) Balanced: 2.5 (need 29% win rate to profit) Aggressive: 2.0 (need 33% win rate to profit)
Indikator Pine Script®
oleh Hash_Capital
1
Hash Momentum Strategy# Hash Momentum Strategy ## 📊 Overview The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios. --- ## ⚡ What Makes This Strategy Unique ### 1. Momentum-Based Entry System Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened. ### 2. Programmable Risk-to-Reward Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations. ### 3. Smart Partial Profit Taking Lock in profits at multiple stages: - **First TP**: Take 50% off at 2R - **Second TP**: Take 40% off at 2.5R - **Final TP**: Let 10% ride to maximum target This approach locks in gains while letting winners run. ### 4. Dynamic Momentum Threshold Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold. ### 5. Trade Cooldown System Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars. ### 6. Optional Session & Weekend Filters Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods. --- ## 🎯 How It Works ### Signal Generation **STEP 1: Calculate Momentum** - Momentum = Current Price - Price - Check if Momentum > ATR × Threshold Multiplier - Momentum must be accelerating (positive change in momentum) **STEP 2: Confirm with EMA Trend Filter** - Long: Price must be above EMA - Short: Price must be below EMA **STEP 3: Check Filters** - Not in cooldown period - Valid session (if enabled) - Not weekend (if enabled) **STEP 4: ENTRY SIGNAL TRIGGERED** ### Risk Management Example **Example Long Trade:** - Entry: $100 - Stop Loss: $97.80 (2.2% risk) - Risk Amount: $2.20 **Take Profit Levels:** - TP1: $104.40 (2R = $4.40) → Close 50% - TP2: $105.50 (2.5R = $5.50) → Close 40% - Final: $105.50 (2.5R) → Close remaining 10% --- ## ⚙️ Settings Guide ### Core Strategy **Momentum Length** (Default: 13) Number of bars for momentum calculation. Higher = stronger but fewer signals. **Momentum Threshold** (Default: 2.25) ATR multiplier. Higher = only trade biggest moves. **Use EMA Trend Filter** (Default: ON) Only long above EMA, short below EMA. **EMA Length** (Default: 28) Period for trend-confirming EMA. ### Filters **Use Trading Session Filter** (Default: OFF) Restrict trading to specific sessions. **Tokyo Session** (Default: OFF) Trade during Asian hours (00:00-09:00 JST). **London Session** (Default: OFF) Trade during European hours (08:00-17:00 GMT). **New York Session** (Default: OFF) Trade during US hours (08:00-17:00 EST). **Weekend Off** (Default: OFF) Disable trading on Saturdays and Sundays. ### Risk Management **Stop Loss %** (Default: 2.2) Fixed percentage stop loss from entry. **Risk:Reward Ratio** (Default: 2.5) Your target reward as multiple of risk. **Use Partial Profit Taking** (Default: ON) Take profits in stages. **First TP R:R** (Default: 2.0) First target as multiple of risk. **First TP Size %** (Default: 50) Percentage of position to close at TP1. **Second TP R:R** (Default: 2.5) Second target as multiple of risk. **Second TP Size %** (Default: 40) Percentage of position to close at TP2. ### Trade Management **Use Trade Cooldown** (Default: ON) Prevent overtrading. **Cooldown Bars** (Default: 6) Bars to wait after closing a trade. --- ## 🎨 Visual Elements ### Chart Indicators 🟢 **Green Dot** (below bar) = Long entry signal 🔴 **Red Dot** (above bar) = Short entry signal 🔵 **Blue X** (above bar) = Long position closed 🟠 **Orange X** (below bar) = Short position closed **EMA Line** = Trend direction (green when bullish, red when bearish) **White Line** = Entry price **Red Line** = Stop loss level **Green Lines** = Take profit levels (TP1, TP2, Final) ### Dashboard When not in real-time mode, a dashboard displays: - Current position (LONG/SHORT/FLAT) - Entry price - Stop loss price - Take profit price - R:R ratio - Current momentum strength - Total trades - Win rate - Net profit % --- ## 📈 Recommended Settings by Timeframe ### 1-Hour Timeframe (Default) - Momentum Length: 13 - Momentum Threshold: 2.25 - EMA Length: 28 - Stop Loss: 2.2% - R:R Ratio: 2.5 - Cooldown: 6 bars ### 4-Hour Timeframe - Momentum Length: 24-36 - Momentum Threshold: 2.5 - EMA Length: 50 - Stop Loss: 3-4% - R:R Ratio: 2.0-2.5 - Cooldown: 6-8 bars ### 15-Minute Timeframe - Momentum Length: 8-10 - Momentum Threshold: 2.0 - EMA Length: 20 - Stop Loss: 1.5-2% - R:R Ratio: 2.0 - Cooldown: 4-6 bars --- ## 🔧 Optimization Tips ### Want More Trades? - Decrease Momentum Threshold (2.0 instead of 2.25) - Decrease Momentum Length (10 instead of 13) - Decrease Cooldown Bars (4 instead of 6) ### Want Higher Quality Trades? - Increase Momentum Threshold (2.5-3.0) - Increase Momentum Length (18-24) - Increase Cooldown Bars (8-10) ### Want Lower Drawdown? - Increase Cooldown Bars - Use tighter stop loss - Enable session filters (trade only high-liquidity sessions) - Enable Weekend Off ### Want Higher Win Rate? - Increase R:R Ratio (may reduce total profit) - Increase Momentum Threshold (fewer but stronger signals) - Use longer EMA for trend confirmation --- ## 📊 Performance Expectations Based on typical backtesting results: - **Win Rate**: 35-45% - **Profit Factor**: 1.5-2.0 - **Risk:Reward**: 1:2.5 (configurable) - **Max Drawdown**: 10-20% - **Trades/Month**: 8-15 (1H timeframe) **Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity. --- ## 🎓 Strategy Logic Explained ### Why Momentum > EMA Crossover? **EMA Crossover Problems:** - Signals lag behind price - Late entries = poor R:R - Many false signals in ranging markets **Momentum Advantages:** - Catches moves as they start accelerating - Earlier entries = better R:R - Adapts to volatility via ATR ### Why Partial Profit Taking? **Without Partial TPs:** - All-or-nothing approach - Winners often turn to losers - High stress watching open positions **With Partial TPs:** - Lock in 50% at first target - Reduce risk to breakeven - Let remainder ride for bigger gains - Lower psychological pressure ### Why Trade Cooldown? **Without Cooldown:** - Revenge trading after losses - Overtrading in choppy markets - Emotional decision-making **With Cooldown:** - Forces discipline - Waits for new setup to develop - Reduces transaction costs - Better signal quality --- ## ⚠️ Important Notes 1. **This is a momentum strategy, not an EMA strategy** The EMA only confirms trend direction. Momentum generates the actual signals. 2. **Backtest thoroughly before live trading** Past performance ≠ future results. Test on your specific asset and timeframe. 3. **Use proper position sizing** Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties). 4. **Dashboard auto-hides in real-time** Clean chart for live trading. Visible during backtesting. 5. **Customize for your trading style** All settings are fully adjustable. No single "best" configuration. --- ## 🚀 Quick Start Guide 1. **Add to Chart**: Apply to your preferred asset and timeframe 2. **Keep Defaults**: Start with default settings 3. **Backtest**: Review historical performance 4. **Paper Trade**: Test with simulated money first 5. **Go Live**: Start small and scale up --- ## 💡 Pro Tips **Tip 1: Combine Timeframes** Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries. **Tip 2: Avoid News Events** Major news can cause whipsaws. Consider manual intervention during high-impact events. **Tip 3: Monitor Momentum Strength** Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum. **Tip 4: Adjust for Volatility** In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them. **Tip 5: Review Losing Trades** Check if losses are hitting stop loss or reversing. Adjust stop accordingly. --- ## 📝 Changelog **v1.0** - Initial Release - Momentum-based signal generation - EMA trend filter - Programmable R:R ratio - Partial profit taking (3 stages) - Trade cooldown system - Session filters (Tokyo/London/New York) - Weekend off toggle - Smart dashboard (auto-hides in real-time) - Clean visual design --- ## 🙏 Credits Developed by **Hash Capital Research** If you find this strategy useful, please give it a like and share with others! --- ## ⚖️ Disclaimer This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading. --- ## 📬 Feedback Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback. --- **Happy Trading! 🚀📈**
Strategi Pine Script®
oleh Hash_Capital
Fat Tony's Composite Momentum Histogram (v01)# Fat Tony's Composite Momentum Histogram ## What It Does This indicator combines four momentum oscillators into a single composite signal that ranges approximately from -100 to +100. It identifies potential overbought and oversold conditions while weighting signals by volume activity to filter out weak moves. The histogram shows momentum strength with color-coded bars: - **Red bars** indicate extreme overbought conditions (above +100) - **Green bars** indicate extreme oversold conditions (below -100) - **Blue bars** show positive momentum in normal range - **Orange bars** show negative momentum in normal range ## Core Components The indicator blends these four momentum measures: 1. **Williams %R** - Measures where price closed relative to the high-low range 2. **Stochastic %K** - Compares closing price to the recent price range 3. **MACD Histogram** - Shows momentum changes via moving average convergence/divergence 4. **ROC (Rate of Change)** - Measures percentage price change, normalized by volatility Each component is scaled to a -50 to +50 range, then averaged together. The MACD component uses adaptive scaling based on its historical volatility to remain relevant across different market conditions. ## Volume Weighting The indicator amplifies signals when volume is elevated and dampens them when volume is low. It uses a logarithmic scaling approach to smooth extreme volume spikes. There's also a minimum volume filter that prevents signals from triggering during very low-volume periods. ## Settings Explained **Momentum Settings:** - **Length (14)** - Lookback period for Williams %R and Stochastic calculations - **MACD Fast/Slow/Signal (12/26/9)** - Standard MACD parameters - **ROC Length (10)** - Lookback for rate of change calculation - **MACD StDev Length (200)** - Historical window for normalizing MACD values **Levels:** - **Overbought Level (+100)** - Threshold for extreme upside momentum - **Oversold Level (-100)** - Threshold for extreme downside momentum **Volume Settings:** - **Enable Volume Weighting** - Toggle volume amplification on/off - **Volume Sensitivity (1.5)** - Controls how much volume impacts the signal (higher = stronger impact) - **Min Avg Volume (50,000)** - Filters out signals when 5-bar average volume is too low **Components:** - **Include ROC Component** - Toggle to add/remove ROC from the calculation - **Enable Trend Filter** - Only allows signals aligned with the 200-period EMA trend - **Show Component Plots** - Displays individual oscillator values for tuning purposes ## Trading Signals **Entry Signals:** - **Long (green triangle)** - Composite crosses above the oversold level with adequate volume - **Short (red triangle)** - Composite crosses below the overbought level with adequate volume **Exit Signals (when trend filter enabled):** - **Long Exit** - Composite crosses below zero from positive territory - **Short Exit** - Composite crosses above zero from negative territory The indicator also provides alert conditions for automated notifications on these signal events.
Indikator Pine Script®
oleh robbooker
6
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP Purpose: This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for: 15-minute chart → trend identification 1–2 minute chart → precise entries based on dynamic bands Components: SMA of Typical Price (smaTP) Smooth average of the current bar’s typical price (hlc3). Acts as a dynamic midpoint for the ±100 deviation bands. ±100 Deviation Bands Calculated using a modified CCI formula: Upper = SMA TP + 0.015 × MAD × 100 Lower = SMA TP - 0.015 × MAD × 100 Works as dynamic support/resistance and potential reversal zones. SMA of CCI length (scaled to price) Smooths the CCI momentum signal to the price scale. Acts as a confirmation filter for trade direction near bands. Optional toggle and customizable color/line width. VWAP (Volume Weighted Average Price) Optional overlay with trend-based coloring: Price above VWAP → bullish → green Price below VWAP → bearish → red Acts as primary trend filter. How to Use the Indicator Step 1: Determine Trend (15-minute chart) Check VWAP trend: Price > VWAP → bullish trend → only consider long trades Price < VWAP → bearish trend → only consider short trades Confirm with SMA TP slope: Rising SMA → bullish bias Falling SMA → bearish bias This ensures you only trade in the direction of the intraday trend.
Indikator Pine Script®
oleh Simon20cent