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Penunjuk Bill Williams

IB Breakout Strategy with Fib, CVD, and DivergenceEntry rules and signals- I wait for the 5min IB(initial balance) to form every session for eg-(first 5min candle of london session or ny session, marking top wick to bottom wick of first 5 min candle with a midpoint in that zone.Then look for CVD(cumulative volume delta) if it's alining with my analysis.I also mark previous session fib levels for scalp entries on .618 or .78 level.Also i do mark previous day VAH(value area high),VAL(value area low) and POC(point of control) for better understanding of direction. Initial stop loss and take profit values-Initial stop loss varies from 200$ to 500$ and take profit varies from 250$ to 500$. Number of contracts you plan to trade based on system stats and risk management-I plan to trade 1-2 contracts until i reach the safety net.Once safety net is achieved based on my entry level i decide the contract size which varies from 1-4 contracts. Trade management and any trailing stop methods-I trail the stop once i feel like there's enough room for the trade.I manage the trade on the basis of strength of a candle, if its taking much time without strength i exit the trade.
Penunjuk Pine Script®
oleh sohamk1919
1
上涨动能This indicator calculates and visualizes the difference between the 20-period EMA and the 120-period EMA, helping traders identify medium-term momentum shifts in price action. What It Does: ✅ Calculates the difference: Diff=EMA20 − EMA120 ✅ Plots a line representing this difference for clear trend tracking. ✅ Plots a histogram (colored bars): Green bars indicate the EMA20 is above EMA120, suggesting bullish momentum. Red bars indicate the EMA20 is below EMA120, suggesting bearish momentum. ✅ Includes a zero baseline for easy reference: When the value crosses above zero, it indicates a potential bullish shift. When it crosses below zero, it indicates a potential bearish shift. How to Use: ✅Use this indicator to visualize trend momentum in your crypto, forex, or stock trading. ✅Combine with your entry/exit signals (e.g., RSI, volume spikes, price action levels) to refine your strategy. ✅A rising Diff suggests strengthening bullish momentum, while a falling Diff suggests strengthening bearish momentum. Why It’s Useful: ✅ Filters noise by using EMA smoothing on both short and long periods. ✅ Helps identify momentum shifts early without being overly sensitive to short-term volatility. ✅ Easy to integrate into trend-following or pullback strategies.
Penunjuk Pine Script®
oleh JiananL
Smart Volatility Squeeze + Trend Filter Smart Volatility Squeeze + Trend Filter This advanced indicator detects low-volatility squeeze conditions and plots breakout signals, helping you spot strong price moves before they happen. How it works This script combines Bollinger Bands (BB) and the Keltner Channel (KC) — two popular volatility tools — to identify squeeze setups: A squeeze occurs when the Bollinger Bands contract and move completely inside the Keltner Channel. This means the market is quiet and volatility is low — often right before a significant breakout. When the squeeze condition is active, the background highlights the chart area with a soft color that gradually intensifies the longer the squeeze lasts. This gives a clear visual cue that pressure is building. A breakout signal triggers when price crosses above the upper Bollinger Band (bullish) or below the lower Bollinger Band (bearish) — confirming that the squeeze has ended and a new impulse is likely starting. To reduce false breakouts, you can enable the built-in trend filter. By default, it uses a simple EMA: breakouts are confirmed only if the price action aligns with the overall trend direction. Key features 🔹 Bollinger Bands + Keltner Channel squeeze detection 🔹 Automatic squeeze marker and background shading 🔹 Breakout arrows for up and down signals 🔹 Optional trend filter with adjustable EMA length 🔹 Works on any market: crypto, stocks, forex, indices 🔹 Fully adjustable inputs for BB, KC and trend filter 🔹 Built-in ready-to-use alerts for breakouts How to use Watch for areas where the squeeze condition appears — the background will highlight them. Wait for a breakout arrow to appear outside the bands. Use the trend filter to focus only on breakouts in the dominant trend direction. Combine with your existing risk management and confirmation tools. Inputs BB Length & StdDev: Control the Bollinger Bands settings. KC EMA Length & ATR Multiplier: Control the Keltner Channel width. Trend Filter Length: Adjust how smooth or sensitive the trend filter is. Use Trend Filter: Enable or disable confirmation by trend direction. Disclaimer ⚠️ This script is for educational purposes only and does not constitute financial advice. Always test any strategy thoroughly and trade at your own risk.
Penunjuk Pine Script®
oleh artemka3091
Smart Deviation Trend Bands PRO + MTF Filter Smart Deviation Trend Bands PRO + MTF Filter This advanced version of Smart Deviation Bands gives you everything you need to catch cleaner trend bounces and avoid fake signals. 🔹 Classic deviation bands with 1, 2 and 3 standard deviations 🔹 Dynamic SMA line with clear trend coloring 🔹 Built-in multi-timeframe trend filter (MTF) 🔹 Signals only appear when they align with the higher timeframe trend 🔹 Ready-to-use alerts for bullish and bearish bounces How it works The script plots classic standard deviation bands around a dynamic Simple Moving Average (SMA). The three bands (1, 2 and 3 standard deviations) help you spot different levels of pullbacks or extensions relative to the trend. A built-in multi-timeframe filter checks the trend on a higher timeframe (HTF). A signal appears only when a bounce aligns with the bigger trend: Bullish bounce: Price crosses up from the lower deviation band while the HTF trend is up. Bearish bounce: Price crosses down from the upper deviation band while the HTF trend is down. Signal markers 🟢 Green circle: Bullish bounce — price crossing up from lower band with HTF uptrend 🔴 Red circle: Bearish bounce — price crossing down from upper band with HTF downtrend How to use Works on any market (crypto, stocks, forex). Works on any timeframe — the filter can use any higher timeframe you choose (for example, H4, 1D, 1W). Fully adjustable settings: SMA length, standard deviation multipliers, and filter timeframe. Combine this with your strategy to filter out fake breakouts and trade in line with the bigger trend. ⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always test any strategy thoroughly and trade at your own risk.
Penunjuk Pine Script®
oleh artemka3091
3
MP AMS (100 bars)Indicator Name: ICT Nested Pivots: Advanced Structure with Color Control Description: This indicator identifies and labels nested pivot points across three levels of market structure: Short-Term Pivots (STH/STL) Intermediate-Term Pivots (ITH/ITL) Long-Term Pivots (LTH/LTL) It detects local highs and lows using a user-defined lookback period and categorizes them into short, intermediate, and long-term pivots based on their relative strength compared to surrounding pivots. Key Features: Multi-level pivot detection: Nested identification of short, intermediate, and long-term highs and lows. Customizable display: Toggle visibility of each pivot level independently for both highs and lows. Color control: Customize colors for high and low pivot labels and text for enhanced chart readability. Clear labeling: Each pivot is marked with intuitive labels ("STH", "ITH", "LTH" for highs and "STL", "ITL", "LTL" for lows) placed above or below bars accordingly. Safe plotting: Avoids errors by validating data and only plotting labels within the lookback range. This tool helps traders visually analyze market structure and identify key turning points at different time scales directly on their price charts.
Penunjuk Pine Script®
oleh markoparkhomenko
Hybrid Cumulative DeltaWhat does this indicator show? This script displays two types of CVD (Cumulative Volume Delta): 1. Simple Cumulative Delta Volume: This is the basic method: pinescript Kopiraj Uredi deltaVolume = volume * (close > close ? 1 : close < close ? -1 : 0) ➡️ It increases cumulative volume if the candle closes higher, and decreases it if it closes lower. It's a simple assumption: If the candle is bullish → more buying. If bearish → more selling. Then it's accumulated with: pinescript Kopiraj Uredi cumulativeDeltaVolume = ta.cum(deltaVolume) It's plotted as candlesticks, rising or falling based on delta volume. 2. Monster Cumulative Delta (advanced method): Uses a more complex formula, taking into account: Candle range (high - low), Relationship between open, close, and wicks, Distribution of volume inside the candle. pinescript Kopiraj Uredi U1 = (close >= open ...) ? ... D1 = (close < open ...) ? ... Delta = close >= open ? U1 : -D1 cumDelta := nz(cumDelta ) + Delta ➡️ Purpose: to more realistically estimate aggressive buyers/sellers. This is a refined CVD, ideal for markets without real order book data (like forex). 📍 What does the indicator tell us? ➕ If cumulative delta is rising: Buyers are in control (more aggressive market buys). ➖ If cumulative delta is falling: Sellers dominate (more aggressive market sells). 📈 How to read it on the chart: You’ll see 2 candlestick plots: One for the simple delta (green/red delta volume candles), One for the monster delta, which is often smoother. 👉 The key is to watch for divergence between price and CVD: If price goes up but CVD goes down → buyers are weak = potential reversal. If price drops and CVD rises → selling pressure is weak = potential bounce. 🕐 Best timeframe (interval) for forex? Timeframe Purpose Recommendation 1m–15m Scalping / short-term flow ✅ Works well, but needs high-volume pairs (e.g., EUR/USD, GBP/USD) 1H–4H Swing trading / intraday ✅ Best balance – reveals smart money movements 1D Macro overview, long-term volume Usable, but less granular info 🔹 Recommendation for forex: 4H interval Enough volume data to detect shifts in real pressure. Less noise than lower timeframes. Great for spotting swing setups (e.g., divergences at support/resistance).
Penunjuk Pine Script®
oleh Patrik_Firer
Short Only | EMA100 + MACD + Bearish Candle | Risk 3:1 This strategy is designed for short trades only on any market (crypto, forex, stocks). It combines three simple but effective conditions: Price below EMA100 – confirms downtrend. MACD Line crosses below Signal Line and is bearish – momentum confirmation. Bearish candle pattern – confirms entry timing. Risk/Reward is set to 1:3, using ATR-based dynamic take profit and stop loss. Works well on 30m to 1h timeframes. Suitable for crypto pairs and volatile instruments.
Strategi Pine Script®
oleh J-Abraham
Sniper TP & SLStrong indicators combine that show Tp ans SL An indicator that build from greece with many tries and attempts and this is the final results The indicator plan was to adapt it in an AI (ML) brain who can make autotrades and also sending signals This is the indicator our AI model is based on the only difrence is our AI adjust TP and SL with market needs DONT TRUST this indicator 100% we havent add Support and Resistance yet so use them in combine to see good entries and kill the market
Penunjuk Pine Script®
oleh aggeloszela
Fair Value Gap [Custom]📌 FVG Indicator – Smart Money Concepts Tool This script is based on Smart Money Concepts (SMC) and automatically detects and marks Fair Value Gaps (FVG) on the chart, helping traders identify unbalanced price areas left behind by institutional moves. 🧠 What is an FVG? An FVG (Fair Value Gap) is the price gap formed when the market moves rapidly, leaving behind a candle range where no trading occurred — typically between Candle 1’s high and Candle 3’s low (in a three-candle pattern). These gaps often signal imbalance, created during structural breaks or liquidity grabs, and may act as retrace zones or entry points. 🛠 Features: ✅ Automatically detects and highlights FVG zones (high-low range) ✅ Differentiates between open (unfilled) and closed (filled) FVGs ✅ Adjustable timeframe settings (works best on 1H–4H charts) ✅ Option to toggle display of filled FVGs ✅ Great for identifying pullback entries, continuation zones, or reversal setups 💡 Recommended Use: After BOS/CHoCH, watch for price to return to the FVG for entry Combine with Order Blocks and liquidity zones for higher accuracy Best used as part of an ICT or SMC-based trading system
Penunjuk Pine Script®
oleh ace12313112
KST Strategy [Skyrexio]Overview KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades. Unique Features ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation. Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions. Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold. Methodology The strategy opens long trade when the following price met the conditions: Close price is above the Alligator's jaw line Close price is above the filtering Moving average KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology) If the Choppiness Index filter is enabled its value shall be less than user defined threshold When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level) ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level) Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA) Filter MA Length (by default = 200, length for filter MA calculation) Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index) Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution) Choppiness Index Length (by default = 14, length used in Choppiness index calculation) KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index. The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago. ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value: KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4 ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1, ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2, ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3, ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4 Also for this indicator the signal line is calculated: Signal = SMA(KST, KST Signal Line Length) When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it. The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA. Key Features: It reacts faster to price changes than most moving averages. It is smoother and less noisy than short-term EMAs. It can be used to identify trend direction, momentum, and potential reversal points. ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction. To calculate it first of all we need to get True Range (TR), this is the greatest value among: High - Low abs(High - Previous Close) abs(Low - Previous Close) ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14. ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market. The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend. Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n) where: ΣATR(n) = sum of the Average True Range over n periods MaxHigh(n) = highest high over n periods MinLow(n) = lowest low over n periods log10 = base-10 logarithm Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning. Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value. When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 60% Maximum Single Position Loss: -5.53% Maximum Single Profit: +8.35% Net Profit: +5175.20 USDT (+51.75%) Total Trades: 120 (56.67% win rate) Profit Factor: 1.747 Maximum Accumulated Loss: 1039.89 USDT (-9.1%) Average Profit per Trade: 43.13 USDT (+0.6%) Average Trade Duration: 27 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Strategi Pine Script®
oleh Skyrexio
Williams VIX For Bottoms [DCD]Williams VIX Original - Authentic Volatility Fear Gauge What This Indicator Does The Williams VIX Fix measures market fear by calculating how far current lows deviate from recent highs, identifying potential market bottoms during high volatility periods. This implementation provides Larry Williams' original formula in its purest form. How It Works Core Formula: VIX Fix = ((Highest High over 22 periods - Current Low) / Highest High over 22 periods) × 100 The calculation process: Measures Relative Distance: Compares current low to highest high over lookback period Converts to Percentage: Normalizes values for cross-market comparison Applies Statistical Analysis: Uses Bollinger Bands (2 std dev) around VIX Fix values Filters with Percentiles: 85th percentile threshold removes noise Signal Generation Green Flash Signals trigger when either condition is met: VIX Fix exceeds upper Bollinger Band (2 standard deviations above 20-period MA) VIX Fix exceeds Range High (85th percentile of recent values) This dual-condition approach reduces false signals while capturing genuine volatility spikes. What Makes This Original Pure Formula Implementation: Uses Williams' exact original calculation without modifications Dual Confirmation System: Combines Bollinger Bands with percentile analysis Professional Visualization: Histogram display, background highlighting, and live value table Comprehensive Alerts: Signal start/end notifications plus Green Flash alerts How to Use Primary Purpose: Spot high-probability reversal zones during market fear climaxes Signal Interpretation: Green triangle + background highlight = High volatility reversal zone Higher VIX Fix values = Stronger fear/better reversal potential Use with price action confirmation for best results Optimal Settings: Timeframes: 4H, Daily, Weekly Markets: All (stocks, crypto, forex, commodities) Combine with support levels and candlestick patterns Key Parameters: VIX Fix Length (22): Lookback period for highest high Std Dev Multiplier (2.0): Bollinger Band sensitivity Percentile High (0.85): Only top 15% of readings trigger signals The VIX Fix excels at identifying market fear climaxes that coincide with significant price bottoms, making it valuable for swing traders seeking high-probability entries during market stress.
Penunjuk Pine Script®
oleh DutchCryptoDad
Stephis Supply & Demand Zones v3 📉 Support Definition: Support is a price level where a downtrend can be expected to pause or reverse due to a concentration of buying interest. Why it matters: When the price of an asset falls to a support level, traders expect buyers to step in, preventing the price from falling further. Visual clue: On a chart, support often appears as a horizontal line where the price has bounced up multiple times. 📈 Demand Definition: Demand refers to the willingness and ability of buyers to purchase an asset at a given price. In trading context: High demand typically pushes prices up, while low demand can lead to price drops. Relation to support: A support level exists because of demand—buyers are willing to buy at that price, creating a floor. 🧠 How They Work Together When price approaches a support level, traders watch to see if demand increases—if it does, the price may bounce. If the support level is broken, it may signal that demand has weakened, and the price could fall further. 🔁 Opposite Concept: Resistance & Supply Resistance is the opposite of support—it's a level where selling pressure (supply) may stop a price from rising. Just like demand creates support, supply creates resistance.
Penunjuk Pine Script®
oleh behreste