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Bill Williams Indicators

SUPER RENKOthis strategy based on trend following system we are use this indicator in renko for batter result best result will come in BTCUSD ,do use at after US market open ( mon-fri) key -features BUY SELL ENTRY SIGNALS : ( buy once background green , sell once background red) EXIT : ( exit from buy once background become red , and exit from sell once background become green ) ( you can use as algo also ) BEST FEATURES : ( buying and selling area will be same , you will never get bog loss ) TIPS ; do exit from trade once you will get 400-500 points
Pine Script® indicator
by Shyamkar
Simple EMA Trend Strategy (No Filters)The Simple EMA Trend Indicator identifies bullish and bearish market trends using two exponential moving averages (EMAs) and a confirmation period. When a bullish trend is detected, it highlights candles in blue and prints a "BUY" signal. When the trend reverses to bearish, candles turn purple and a "SELL" signal is printed. The trend direction remains active until a confirmed reversal is detected, helping traders stay in position during extended moves while reducing noise from short-term fluctuations. It’s optimized for clarity and simplicity—ideal for trend-following strategies. ⚙️ Key Features: EMA Crossover Trend Detection Buy/Sell Signals on Trend Reversals Color-coded Candles: Blue for bullish, purple for bearish Signal Persistence: Buy/sell remains active until trend reverses Adjustable settings for EMAs and trend confirmation sensitivity
Pine Script® strategy
by ConorMCgr110
9 EMA & 15 EMA Crossover Arrows//@version=5 indicator("9 EMA & 15 EMA Crossover Arrows", overlay=true) // EMA calculations ema9 = ta.ema(close, 9) ema15 = ta.ema(close, 15) // Detect crossovers (on previous candle) bullishCross = ta.crossover(ema9 , ema15 ) bearishCross = ta.crossunder(ema9 , ema15 ) // Plot arrows on previous candle plotshape(bullishCross, title="Bullish Cross", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small, offset=-1) plotshape(bearishCross, title="Bearish Cross", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small, offset=-1) // Plot EMAs (optional for visual) plot(ema9, color=color.green, title="9 EMA") plot(ema15, color=color.orange, title="15 EMA")
Pine Script® indicator
by thought_eng
Satyam: Custom IndicatorThis script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI. EMAs EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA). This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader. RSI Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend. If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength. Combination The EMAs indicate when trend shifts (bullish or bearish). The RSI indicates when the trend is losing momentum. The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal. Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to
Pine Script® indicator
by babu_satyam
1
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.
Pine Script® strategy
by Skyrexio
Bar Color2. indicator("Bar Color", overlay=true) "Bar Color" is the name of the script that will appear on your chart. overlay=true means this script will be drawn directly on the price chart (not in a separate pane). 3. ma = ta.sma(close, 10) This calculates a Simple Moving Average (SMA) of the closing prices over the last 10 bars (candles). ta.sma() is the built-in function for SMA in Pine Script v5. 4. barcolor(close > ma ? color.green : color.red) This line colors each candle/bar: Green if the current close is above the 10-period moving average. Red if the close is below or equal to the moving average. barcolor() changes the bar color but doesn’t plot anything visually on top of the candles — it only recolors them.
Pine Script® indicator
by MrAlex_17
MTF Zones | مناطق الفريمات المتعددة✅ Indicator Overview: MTF Zones | Multi-Timeframe Zones 🔍 What does this indicator offer? A comprehensive tool that displays the most important price zones from higher timeframes — Daily, Weekly, and Monthly — highlighting: ✅ High ✅ Low ✅ Midpoint (50% level) For each of the previous time periods. This gives you a clear view of key: Support / Resistance / Equilibrium zones across multiple timeframes — dynamically plotted directly on your chart. 📊 Key Features: Displays previous Day, Week, and Month levels with clean visual lines. Optional labels to show exact level names and prices. Projection lines to extend past levels into the future. Includes multiple moving average types: EMA, SMA, WMA, etc. Adds static price levels like 29 and 71 for strategic confluence. Calculates Stop Loss and 3 Take Profit levels based on ATR. Shows Buy/Sell signals visually using the AlphaTrend indicator. Displays TP, SL, and buyer/seller strength in a clean, dynamic table. Supports Order Blocks (Demand/Supply zones) based on structure and volume. 🎯 Who is this for? Perfect for traders who use: Multi-timeframe analysis Smart support/resistance levels Price action + indicator confluence Scalping, intraday, or swing strategies 💡 Benefits: Helps you spot strong potential reversal/reaction zones Reduces chart noise by organizing market structure clearly Automatically shows entry and exit points with logic-based visuals
Pine Script® indicator
by HyperAlgo_manager
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.
Pine Script® indicator
by DutchCryptoDad
Edukasi Bar & MFI Profitmore🎯 Profitmore Trade Indicator: Combination of Market Facilitation Index (MFI) & Bill Williams Bar Rules This script is a visual aid designed for Profitmore Trade traders. It combines the Market Facilitation Index (MFI) by Bill Williams with his unique bar classification system. The main objective is to reveal the starting point of a new wave and the ending of the previous one , as emphasized in the Profitmore method. 🔍 Key Components: MFI (Market Facilitation Index) An indicator by Bill Williams that measures the efficiency of price movement relative to volume. It’s calculated as (High - Low) ÷ Volume, and categorized based on the combination of MFI movement and volume: Green , Fade , Fake , and Squat . Bar Classification (Bill Williams): Categorizes price bars into psychological market signals: bullish bar, bearish bar, inside bar, reversal bar, etc. Useful for detecting subtle shifts in market sentiment. 🎯 Use Cases: ✅ Identifies the zero point of a trend shift. ✅ Filters out false signals. ✅ Visualizes the market's driving forces. ✅ Suitable for multiple timeframes (D1, H4, H1). 📌 This script is intended for Profitmore Trade education participants, but is freely available as an open learning tool.
Pine Script® indicator
by erbe