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Fractales

Smart Daily Levels Pro (PDH/PDL) + FractalsSmart Daily Levels Pro (PDH/PDL) + Fractals is a professional-grade technical analysis tool designed to automatically plot key liquidity levels and market structure. This indicator is a perfect fit for traders utilizing Smart Money Concepts (SMC), Price Action, or intraday breakout strategies. Key Features: - Historical PDH/PDL Levels: Automatically draws Previous Day Highs and Lows. You can customize the lookback period (up to 20 days). - Smart Line Termination: Level lines extend precisely until they are touched or crossed by the price, clearly showing where liquidity has been swept. - Visual Touch Markers: Clean circles appear at the exact bar where the price first hits a level, allowing for instant analysis of price reaction. - Integrated Fractals: Built-in fractal detection (3 or 5-bar) to identify local pivot points, featuring visual offsets to keep your charts clutter-free. - Day Separators: Subtle vertical lines to provide a clear visual boundary between trading sessions. - Full Customization: Total control over colors, line styles (solid, dashed, dotted), and transparency to match any chart theme. Описание (Russian) Smart Daily Levels Pro (PDH/PDL) + Fractals — это профессиональный инструмент для технического анализа, который автоматически отрисовывает ключевые уровни ликвидности и структуру рынка. Индикатор идеально подходит для трейдеров, работающих по стратегиям Smart Money (SMC), Price Action или внутридневным пробоям. Основные возможности: - Исторические уровни PDH/PDL: Автоматическое построение максимумов (High) и минимумов (Low) предыдущих дней. Вы сами выбираете глубину истории (до 20 дней). - Умная остановка линий: Линия уровня тянется ровно до того момента, пока цена не коснется её. Это позволяет наглядно видеть снятую ликвидность. - Визуальные маркеры касаний: В местах первого касания уровня (пробоя) появляются аккуратные круги, что помогает быстро анализировать реакцию цены. - Настраиваемые Фракталы: Встроенная система фракталов (3 или 5 баров) для определения локальных разворотных точек с визуальным смещением для чистоты графика. - Разделители дней: Тонкие вертикальные линии для четкого визуального отделения одной торговой сессии от другой. - Гибкая кастомизация: Полный контроль над цветами, стилями линий (сплошная, пунктир, точки) и прозрачностью.
Penunjuk Pine Script®
oleh kuts
1
FractalMod for TV with breakout alertsFractalsMod (MT4 → Pine) is a TradingView indicator converted from a custom MT4 (MQL4) fractal indicator. This script replicates the behavior of the original MT4 version as closely as possible, including: Confirmation-based fractals using left/right bar logic Persistent horizontal levels derived from confirmed fractals MT4-style “buffer-like” behavior using segmented horizontal lines Key Features MT4-compatible fractal logic Uses leftbars and rightbars to confirm fractal highs/lows, equivalent to MT4 custom fractal indicators. Segmented horizontal lines (MT4 buffer style) Each confirmed fractal starts a new horizontal line segment from the original pivot bar. When a new fractal is confirmed, the previous segment is stopped at the new pivot point, closely mimicking MT4 indicator buffers. Latest fractal tracking The most recently confirmed Up/Down fractal levels are tracked internally and used for breakout detection. Breakout alerts (not confirmation alerts) Alerts are triggered when the current price breaks above the latest Up fractal or below the latest Down fractal. Breakout detection can be configured to use: Close price only (confirmation-based), or High/Low including wicks. Clean visual control Single arrow per confirmed fractal (no duplicate markers) Optional display of fractal markers and horizontal lines Custom colors and line width for Up/Down fractals Typical Use Cases Fractal-based support / resistance visualization Breakout trading using the most recent confirmed fractal levels MT4 → TradingView workflow migration while preserving indicator behavior This script is designed for traders familiar with MT4 fractal indicators who want a faithful and practical TradingView equivalent without repainting on confirmed signals. FractalsMod (MT4 → Pine) は、 MT4（MQL4）で使用されていた カスタム Fractal インジケーターを TradingView（Pine Script）へ移植したものです。 元の MT4 インジケーターの挙動を可能な限り忠実に再現することを目的としており、以下の特徴を持ちます。 主な特徴 MT4互換のフラクタル判定ロジック leftbars / rightbars を用いたフラクタル確定方式で、 MT4 のカスタム Fractal インジケーターと同等の確定条件を再現しています。 MT4のバッファ挙動を再現した水平ライン フラクタルが確定すると、その ピボット位置から水平ラインを開始します。 新しいフラクタルが確定した場合、それまでのラインは新しいピボット位置で停止し、 区間ごとのライン構造で MT4 のバッファ表示に近い見た目を実現しています。 最新フラクタル価格の内部保持 直近で確定した Up / Down フラクタル価格を保持し、 ブレイク判定やアラートに利用します。 ブレイク専用アラート（確定時アラートなし） フラクタル確定時ではなく、 価格が最新の Up フラクタルを上抜けたとき 価格が最新の Down フラクタルを下抜けたとき にアラートを出す設計です。 ブレイク判定は 終値ベース（ダマシを減らす） ヒゲ込み（高値 / 安値） を設定で切り替えられます。 視認性と制御性を重視した設計 フラクタル矢印は 確定時に1本のみ表示（重複なし） Up / Down で色分けされたラインと矢印 ライン表示・矢印表示の ON / OFF 切り替え可能 想定される用途 フラクタルを用いた サポート / レジスタンスの可視化 直近フラクタルを基準とした ブレイクアウト戦略 MT4 から TradingView への移行時に、 ロジックと見た目をできるだけ変えずに使いたい場合 本スクリプトは、 MT4のフラクタル系インジケーターに慣れたトレーダーが、 TradingViewでも違和感なく使えることを重視して設計されています。
Penunjuk Pine Script®
oleh tarotaro_n
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY. Full Description: Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure. How It Works (Technical Overview): The indicator combines three sophisticated mathematical approaches: Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory Signal Generation Process: Step 1: Market Regime Detection Chaotic Regime: High fractal complexity + rising entropy (avoid trading) Trending Regime: Low fractal complexity + high phase space distance (fade breakouts) Mean-Reverting Regime: Very low fractal complexity (fade extremes) Step 2: Reverse Signal Logic When traditional indicators would give: BUY signal (breakout, oversold bounce, volatility spike) → QFCI shows SELL SELL signal (breakdown, overbought rejection, volatility crash) → QFCI shows BUY Step 3: Smart Signal Filtering No consecutive same-direction signals Adjustable minimum bars between signals Multiple confirmation layers required Unique Features: 1. Mathematical Innovation: Original fractal dimension algorithm (not standard indicators) Market entropy calculation from information theory Phase space reconstruction from chaos theory Multi-regime adaptive logic 2. Trading Psychology Advantage: Contrarian by design - profits from market overreactions Fades retail trader mistakes - enters when others are exiting Reduces overtrading - strict signal frequency controls 3. Clean Visual Interface: Only BUY/SELL labels - no chart clutter Clear directional arrows - immediate signal recognition Built-in alerts - never miss a trade Recommended Settings: Default (Balanced Approach): Fractal Depth: 20 Entropy Period: 200 Min Bars Between Signals: 100 Aggressive Trading: Fractal Depth: 10-15 Entropy Period: 100-150 Min Bars Between Signals: 50-75 Conservative Trading: Fractal Depth: 30-40 Entropy Period: 300-400 Min Bars Between Signals: 150-200 Optimal Timeframes: Primary: Daily, Weekly (best performance) Secondary: 4-Hour, 12-Hour Can work on: 1-Hour (with adjusted parameters) How to Use: For Beginners: Apply indicator to chart Use default settings Wait for BUY/SELL labels Enter on next candle open Use 2:1 risk/reward ratio Always use stop losses For Advanced Traders: Adjust parameters for your trading style Combine with support/resistance levels Use volume confirmation Scale in/out of positions Track performance by regime Risk Management Guidelines: Position Sizing: Conservative: 1-2% risk per trade Moderate: 2-3% risk per trade Aggressive: 3-5% risk per trade (not recommended) Stop Loss Placement: BUY signals: Below recent swing low or -2x ATR SELL signals: Above recent swing high or +2x ATR Take Profit Targets: Primary: 2x risk (minimum) Secondary: Previous support/resistance Tertiary: Trailing stops after 1.5x risk IMPORTANT RISK DISCLOSURE This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
Penunjuk Pine Script®
oleh ChandraBose2002
(QUANTLABS) Fractal God Mode: 25-Timeframe Scanner The indicator aggregates data into three distinct metric columns: 1. STRUCT (Market Structure) This analyzes price action relative to Fractal Pivots (Highs and Lows) to determine market direction. HH (Breakout): Price has closed above the previous Pivot High. (Bullish Structure) LL (Breakdown): Price has closed below the previous Pivot Low. (Bearish Structure) TRAPPED: Price is trading between the last Pivot High and Low. This indicates a ranging market where trend trades should be avoided. 2. VELOCITY (Thrust) This measures the specific strength of the current candle on that timeframe. The Math: It calculates the ratio of the body (Close - Open) relative to the total candle range (High - Low). The Signal: High positive numbers (Green) indicate buyers are closing near highs. High negative numbers (Red) indicate sellers are dominating the range. 3. QUALITY (Efficiency Ratio) This acts as a "Noise Filter." It determines if the trend is moving in a straight line or whipping back and forth. The Math: It divides the Net Price Movement (Distance from 5 bars ago) by the Total Path Traveled (Sum of the ranges of the last 5 bars). PRISTINE (Values > 0.6): The market is moving efficiently in one direction. CHOPPY (Values < 0.4): The market is volatile and non-directional (High Noise). 1. The Matrix (Dashboard) Located in the bottom right, this table gives you an instant read on Short-Term (3m-9m), Medium-Term (10m-45m), and Long-Term (1H-Daily) trends. 2. Coherence Flow At the bottom of the table, the script sums up the structural score of all 25 timeframes. COHERENT BULL: When the Short, Medium, and Long terms align green. COHERENT BEAR: When the Short, Medium, and Long terms align red. 3. God Mode (Global S/R) The indicator can plot Support and Resistance levels from higher timeframes onto your current chart. For example, while trading the 5m chart, you can see the 4H and Daily pivot levels plotted automatically as dotted lines, ensuring you never trade blindly into a higher-timeframe wall. Trend Following: Wait for the "Coherent Bull/Bear" signal at the bottom of the dashboard. This confirms that momentum is aligned from the 3m chart up to the Daily. Scalping: Focus on the Quality column. Only take trades when the Quality is "CLEAN" or "PRISTINE." Avoid entries when the dashboard warns of "High Noise" (Choppy). Risk Management: If the dashboard shows "TRAPPED" on the Long Term (1H+), reduce position size or wait for a breakout. Pivot Lookback: Adjusts the sensitivity of the Fractal Structure (Default: 5). Show Fractal DNA Matrix: Toggles the dashboard table. Show ALL Timeframe S/R: Enables "God Mode" to see supports/resistances from all 25 timeframes (Heavy visual processing, use carefully).
Penunjuk Pine Script®
oleh CustomQuantLabs
Fractals Trend [BigBeluga]🔵 OVERVIEW Fractals Trend is a trend-following overlay that leverages fractal swing points to define dynamic support and resistance zones. By storing and averaging recent high and low fractals, it determines trend direction and plots a smooth band that flips depending on market bias—displaying support during uptrends and resistance during downtrends . 🔵 CONCEPTS Fractal Swings: Fractals are identified using a customizable length. A high fractal forms when the current high is the highest in a range; a low fractal when the current low is the lowest. Fractal Memory: The indicator keeps a rolling window of recent high and low fractals inside arrays, limited by the user-defined storage quantity. switch upperF => FracrtalsUpper.push(high ) lowerF => FracrtalsLower.push(low ) FracrtalsUpper.size() > fCount => FracrtalsUpper.shift() FracrtalsLower.size() > fCount => FracrtalsLower.shift() Trend Detection: Price crossing above the average, min/max or median high fractals signals an uptrend; crossing below average, min/max or median low fractals signals a downtrend. Dynamic Band Plotting: Depending on the trend, the script plots the average of either the upper or lower fractals as a trailing support or resistance line. Visual Confirmation: Fractal labels appear as triangle markers at highs and lows, providing additional structural context. 🔵 FEATURES Automatically detects high and low fractals using customizable length. Stores a defined number of fractals to smooth out noise and reduce false signals. Flips trend bias dynamically with colored band and smooth transitions. Plots fractal-based support in bullish trends, resistance in bearish trends. Triangle markers show real-time fractal highs and lows. Fully configurable visuals, color themes, and fractal detection logic. Clean, non-intrusive overlay that works on any market or timeframe. 🔵 HOW TO USE Use the colored band as a directional filter: green = uptrend (support), orange = downtrend (resistance). Combine with entry signals or break/retest strategies when price approaches the band. Use triangle markers to confirm structural swing points. Adjust Fractals Length to tune sensitivity—shorter values detect quicker shifts, longer values reduce noise. Change the fractal bands type to adapt trend detection to different market conditions. Use in conjunction with momentum or volume tools for confluence. 🔵 CONCLUSION Fractals Trend offers a lightweight, intuitive way to track market bias using price structure alone. Its smart switching logic and clean visuals make it a powerful tool for trend traders seeking structure-based dynamic S/R—without laggy moving averages or overcomplicated signals.
Penunjuk Pine Script®
oleh BigBeluga
3
Williams Fractals Ultimate (Donchian Adjusted)Williams Fractals Ultimate (Donchian Adjusted) Understanding Williams Fractals Williams Fractals are a simple yet powerful tool used to identify potential turning points in the market. They highlight local highs (up fractals) and local lows (down fractals) based on a set period. An up fractal appears when a price peak is higher than the surrounding prices. A down fractal appears when a price low is lower than the surrounding prices. Fractals help traders spot support and resistance levels, potential trend reversals, and price breakout zones. Why Adjust Fractals with the Donchian Channel? The standard Williams Fractals method identifies local highs and lows without considering broader market context. This script enhances fractal accuracy by integrating the Donchian Channel, which tracks the highest highs and lowest lows over a set period. - The Donchian Baseline is calculated as the average of the highest high and lowest low over a selected period. - Fractals are filtered based on this baseline: Up Fractals are only shown if they are above the Donchian baseline. Down Fractals are only shown if they are below the Donchian baseline. This filtering method removes weak signals and ensures that only relevant fractals aligned with market structure are displayed. Key Features of the Script Customizable Fractal & Donchian Periods – Allows traders to fine-tune fractal sensitivity. Donchian-Based Filtering – Reduces noise and highlights meaningful fractals. Fractal ZigZag Line (Optional) – Helps visualize price swings more clearly. Why Is This So Effective? Stronger trend signals – Filtering with the Donchian baseline eliminates unreliable fractals. Clearer price action – The optional ZigZag line visually connects significant highs and lows. Easy trend identification – Helps traders confirm breakout zones and key price levels. This script is a technical analysis tool and does not guarantee profitable trades. Always combine it with other indicators and risk management strategies before making trading decisions.
Penunjuk Pine Script®
oleh Julien_Exe
14
Fractals with Flexible Visuals and Auto HTFPurpose: This indicator displays fractals, including significant ones, with enhanced visual flexibility and new visualization modes. Functionality: - Regular Fractals of Current Timeframe: ** Displays standard fractals based on the current chart timeframe. - Significant Fractals: ** Recognizes significant fractals through a combination of apexes from the current timeframe and a higher timeframe (HTF). - Fractal Filtering: ** - Please note that this option makes some fractals dissapear, but someone finds this to be useful. - Fractal filtering has been made separate for Regular and Significant fractals. - HH/LL Labels: ** HH/LL and LH/HL labels are now available separately for Regular and Significant fractals. - Automatic HTF Switching for Significant Fractals: Added automatic HTF thresholds, removing the need to set HTF manually when changing the chart's timeframe. - Marker Relocation Modes: - Mode 0:0 The fractal appears on the bar when it is recognized, not where it forms. This mode assists traders who want to observe recognition in real-time when developing strategies with fractals. - Mode 1:1 The fractal appears on the previous bar when it is recognized, not where it forms. - Mode 2:2 (General) The fractal appears two bars back, where it is recognized, not when. - Other additional Modes for Significant Fractals: May be good for experimenting with Significant fractals. The first number indicates bars back for the current timeframe; the second number indicates bars back for the higher timeframe. Other modes may assist with additional filtering or be suitable for specific pairs or timeframes. - Visual Adjustments: Added user settings to customize visuals according to preferences. Acknowledgment: This indicator's functionality has been refactored from Fractals V9 by Ricardo Santos (with gratitude to him): () 'RSFractals' is not used as a name prefix, reflecting that this version lacks the Zigzag and Pattern functionalities present in 'RSFractals'. If the original author prefers a different naming convention, they may contact me, and I will gladly make the adjustment.
Penunjuk Pine Script®
oleh X2Lab
2
Machine Learning: Optimal RSI [YinYangAlgorithms]This Indicator, will rate multiple different lengths of RSIs to determine which RSI to RSI MA cross produced the highest profit within the lookback span. This ‘Optimal RSI’ is then passed back, and if toggled will then be thrown into a Machine Learning calculation. You have the option to Filter RSI and RSI MA’s within the Machine Learning calculation. What this does is, only other Optimal RSI’s which are in the same bullish or bearish direction (is the RSI above or below the RSI MA) will be added to the calculation. You can either (by default) use a Simple Average; which is essentially just a Mean of all the Optimal RSI’s with a length of Machine Learning. Or, you can opt to use a k-Nearest Neighbour (KNN) calculation which takes a Fast and Slow Speed. We essentially turn the Optimal RSI into a MA with different lengths and then compare the distance between the two within our KNN Function. RSI may very well be one of the most used Indicators for identifying crucial Overbought and Oversold locations. Not only that but when it crosses its Moving Average (MA) line it may also indicate good locations to Buy and Sell. Many traders simply use the RSI with the standard length (14), however, does that mean this is the best length? By using the length of the top performing RSI and then applying some Machine Learning logic to it, we hope to create what may be a more accurate, smooth, optimal, RSI. Tutorial: This is a pretty zoomed out Perspective of what the Indicator looks like with its default settings (except with Bollinger Bands and Signals disabled). If you look at the Tables above, you’ll notice, currently the Top Performing RSI Length is 13 with an Optimal Profit % of: 1.00054973. On its default settings, what it does is Scan X amount of RSI Lengths and checks for when the RSI and RSI MA cross each other. It then records the profitability of each cross to identify which length produced the overall highest crossing profitability. Whichever length produces the highest profit is then the RSI length that is used in the plots, until another length takes its place. This may result in what we deem to be the ‘Optimal RSI’ as it is an adaptive RSI which changes based on performance. In our next example, we changed the ‘Optimal RSI Type’ from ‘All Crossings’ to ‘Extremity Crossings’. If you compare the last two examples to each other, you’ll notice some similarities, but overall they’re quite different. The reason why is, the Optimal RSI is calculated differently. When using ‘All Crossings’ everytime the RSI and RSI MA cross, we evaluate it for profit (short and long). However, with ‘Extremity Crossings’, we only evaluate it when the RSI crosses over the RSI MA and RSI <= 40 or RSI crosses under the RSI MA and RSI >= 60. We conclude the crossing when it crosses back on its opposite of the extremity, and that is how it finds its Optimal RSI. The way we determine the Optimal RSI is crucial to calculating which length is currently optimal. In this next example we have zoomed in a bit, and have the full default settings on. Now we have signals (which you can set alerts for), for when the RSI and RSI MA cross (green is bullish and red is bearish). We also have our Optimal RSI Bollinger Bands enabled here too. These bands allow you to see where there may be Support and Resistance within the RSI at levels that aren’t static; such as 30 and 70. The length the RSI Bollinger Bands use is the Optimal RSI Length, allowing it to likewise change in correlation to the Optimal RSI. In the example above, we’ve zoomed out as far as the Optimal RSI Bollinger Bands go. You’ll notice, the Bollinger Bands may act as Support and Resistance locations within and outside of the RSI Mid zone (30-70). In the next example we will highlight these areas so they may be easier to see. Circled above, you may see how many times the Optimal RSI faced Support and Resistance locations on the Bollinger Bands. These Bollinger Bands may give a second location for Support and Resistance. The key Support and Resistance may still be the 30/50/70, however the Bollinger Bands allows us to have a more adaptive, moving form of Support and Resistance. This helps to show where it may ‘bounce’ if it surpasses any of the static levels (30/50/70). Due to the fact that this Indicator may take a long time to execute and it can throw errors for such, we have added a Setting called: Adjust Optimal RSI Lookback and RSI Count. This settings will automatically modify the Optimal RSI Lookback Length and the RSI Count based on the Time Frame you are on and the Bar Indexes that are within. For instance, if we switch to the 1 Hour Time Frame, it will adjust the length from 200->90 and RSI Count from 30->20. If this wasn’t adjusted, the Indicator would Timeout. You may however, change the Setting ‘Adjust Optimal RSI Lookback and RSI Count’ to ‘Manual’ from ‘Auto’. This will give you control over the ‘Optimal RSI Lookback Length’ and ‘RSI Count’ within the Settings. Please note, it will likely take some “fine tuning” to find working settings without the Indicator timing out, but there are definitely times you can find better settings than our ‘Auto’ will create; especially on higher Time Frames. The Minimum our ‘Auto’ will create is: Optimal RSI Lookback Length: 90 RSI Count: 20 The Maximum it will create is: Optimal RSI Lookback Length: 200 RSI Count: 30 If there isn’t much bar index history, for instance, if you’re on the 1 Day and the pair is BTC/USDT you’ll get < 4000 Bar Indexes worth of data. For this reason it is possible to manually increase the settings to say: Optimal RSI Lookback Length: 500 RSI Count: 50 But, please note, if you make it too high, it may also lead to inaccuracies. We will conclude our Tutorial here, hopefully this has given you some insight as to how calculating our Optimal RSI and then using it within Machine Learning may create a more adaptive RSI. Settings: Optimal RSI: Show Crossing Signals: Display signals where the RSI and RSI Cross. Show Tables: Display Information Tables to show information like, Optimal RSI Length, Best Profit, New Optimal RSI Lookback Length and New RSI Count. Show Bollinger Bands: Show RSI Bollinger Bands. These bands work like the TDI Indicator, except its length changes as it uses the current RSI Optimal Length. Optimal RSI Type: This is how we calculate our Optimal RSI. Do we use all RSI and RSI MA Crossings or just when it crosses within the Extremities. Adjust Optimal RSI Lookback and RSI Count: Auto means the script will automatically adjust the Optimal RSI Lookback Length and RSI Count based on the current Time Frame and Bar Index's on chart. This will attempt to stop the script from 'Taking too long to Execute'. Manual means you have full control of the Optimal RSI Lookback Length and RSI Count. Optimal RSI Lookback Length: How far back are we looking to see which RSI length is optimal? Please note the more bars the lower this needs to be. For instance with BTC/USDT you can use 500 here on 1D but only 200 for 15 Minutes; otherwise it will timeout. RSI Count: How many lengths are we checking? For instance, if our 'RSI Minimum Length' is 4 and this is 30, the valid RSI lengths we check is 4-34. RSI Minimum Length: What is the RSI length we start our scans at? We are capped with RSI Count otherwise it will cause the Indicator to timeout, so we don't want to waste any processing power on irrelevant lengths. RSI MA Length: What length are we using to calculate the optimal RSI cross' and likewise plot our RSI MA with? Extremity Crossings RSI Backup Length: When there is no Optimal RSI (if using Extremity Crossings), which RSI should we use instead? Machine Learning: Use Rational Quadratics: Rationalizing our Close may be beneficial for usage within ML calculations. Filter RSI and RSI MA: Should we filter the RSI's before usage in ML calculations? Essentially should we only use RSI data that are of the same type as our Optimal RSI? For instance if our Optimal RSI is Bullish (RSI > RSI MA), should we only use ML RSI's that are likewise bullish? Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None? KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using. Machine Learning Length: How far back is our Machine Learning going to keep data for. k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for? Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance. Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance. If you have any questions, comments, ideas or concerns please don't hesitate to contact us. HAPPY TRADING!
Penunjuk Pine Script®
oleh YinYangAlgorithms
24
@tk · fractal emas█  OVERVIEW This script is an indicator that plots short, medium and long moving averages for multiple fractals. This script was based on sharks EMAs by rlvs indicator, that plots multiple rays for each fractals into the chart. The main feature of this indicator is the customizability. The calculation itself is simple as moving average. █  MOTIVATION The trader can customize all aspects of the plotted data. The text size, extended line length, the moving average type — exponential, simple, etc... — the length of fractal rays, line style, line width and visibility. To keep minimalist, this indicator simplifies the logic of line colors based on the purpose of each moving averages. To prevent overnoise the chart with multiple lines with multiple colors for each fractal timefraes, the trader needs to keep in mind that the all lines with the "short" moving average color for example, will represents the short moving averages lines for all fractals. This logic is applied for medium and long moving averages either. █  CONCEPT The trading concept to use this indicator is to make entries on uptrend or downtrend pullbacks when the asset price reaches the short, medium or long moving averages price levels. But this strategy don't works alone. It needs to be aligned together with others indicators like RSI, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis. █  CUSTOMIZATION This indicator allows the trader to customize the following settings: GENERAL Text size Changes the font size of the labels to improve accessibility. Type: string Options: `tiny`, `small`, `normal`, `large`. Default: `small` SHORT Type Select the Short Moving Average calculation type. Type: string Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`. Default: `EMA` Length Changes the base length for the Short Moving Average calculation. Type: int Default: 12 Source Changes the base source for the Short Moving Average calculation. Type: float Default: close Color The base color that will represent the Short Moving Average. Type: color Default: color.rgb(255, 235, 59) (yellow) Fractal Style The fractal ray line style. Type: string Options: `dotted`, `dashed`, `solid`. Default: `dotted` Fractal Width The fractal ray line width. Type: string Options: `1px`, `2px`, `3px`, `4px`. Default: `1px` Fractal Ray Length The fractal ray line length. Type: int Default: 12 MEDIUM Type Select the Medium Moving Average calculation type. Type: string Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`. Default: `EMA` Length Changes the base length for the Medium Moving Average calculation. Type: int Default: 26 Source Changes the base source for the Medium Moving Average calculation. Type: float Default: close Color The base color that will represent the Short Moving Average. Type: color Default: color.rgb(0, 230, 118) (lime) Fractal Style The fractal ray line style. Type: string Options: `dotted`, `dashed`, `solid`. Default: `dotted` Fractal Width The fractal ray line width. Type: string Options: `1px`, `2px`, `3px`, `4px`. Default: `1px` Fractal Ray Length The fractal ray line length. Type: int Default: 12 LONG Type Select the Long Moving Average calculation type. Type: string Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`. Default: `EMA` Length Changes the base length for the Long Moving Average calculation. Type: int Default: 200 Source Changes the base source for the Long Moving Average calculation. Type: float Default: close Color The base color that will represent the Short Moving Average. Type: color Default: color.rgb(255, 82, 82) (red) Fractal Style The fractal ray line style. Type: string Options: `dotted`, `dashed`, `solid`. Default: `dotted` Fractal Width The fractal ray line width. Type: string Options: `1px`, `2px`, `3px`, `4px`. Default: `1px` Fractal Ray Length The fractal ray line length. Type: int Default: 12 VISIBILITY Show Fractal Rays · (Short) Shows short moving average fractal rays. Type: bool Default: true Show Fractal Rays · (Medium) Shows short moving average fractal rays. Type: bool Default: true Show Fractal Rays · (Long) Shows short moving average fractal rays. Type: bool Default: true █  FUNCTIONS The script contains the following functions: `fn_labelizeTimeFrame` Labelize timeframe period in minutes and hours. Parameters: tf: (string) Timeframe period to be labelized. Returns: (string) Labelized timeframe string. `fn_builtInLineStyle` Converts simple string to built-in line style variable value. Parameters: lineStyle: (string) The line style simple string. Returns: (string) Built-in line style string value. `fn_builtInLineWidth` Converts simple pixel string to line width number value. Parameters: lineWidth: (string) The line width pixel simple string. Returns: (string) Built-in line width number value. `fn_requestFractal` Requests fractal data based on `period` given an expression. Parameters: period: (string) The period timeframe of fractal. expression: (series float) The expression to retrieve data from fractal. Returns: (mixed) A result determined by `expression`. `fn_plotRay` Plots line after chart bars. Parameters: y: (float) Y axis line position. label: (string) Label to be ploted after line. color: (color) Line and label color. length: (int) Line length. show: (bool) Flag to display the line. (default: `true`) lineStyle: (string) Line style to be applied. (default: `line.style_dotted`) lineWidth: (int) Line width. (default: `1`) Returns: void `fn_plotEmaRay` Plots moving average line for a specific period. Parameters: period: (simple string) Period of fractal to retrieve expression: (series float) The expression to retrieve data from fractal. color: (color) Line and label color. length: (int) Line length. (default: `12`) show: (bool) Flag to display the line. (default: `true`) lineStyle: (string) Line style to be applied. (default: `line.style_dotted`) lineWidth: (string) Line width. (default: `1px`) Returns: void `fn_plotExtendedEmaRay` Draws extended line for current timeframe moving average. Parameters: coordY: (float) Extended line Y axis position. textValue: (simple string) Extended line label text. textColor: (color) Extended line text color. length: (int) Extended length. (default: `5`) Returns: void
Penunjuk Pine Script®
oleh gabrielrtakeda
@tk · fractal rsi levels█  OVERVIEW This script is an indicator that helps traders to identify the RSI Levels for multiple fractals wherever the current timeframe is. This script was based on RSI Levels, 20-30 & 70-80 by abdomi indicator, that calculates the Relative Strenght Index levels based on the asset's price and plots it into the chart, creating a "wave" style indicator. The core feature of this indicator is the fractal rays, so trader can visualize each of the oversold and overbought levels of multiple timeframe on the current timeframe that he is on. The indicator will plots multiple rays after the chart bars. indicating where is the oversold and overbought levels for others fractals. █  MOTIVATION Since the RSI Levels, 20-30 & 70-80 by abdomi indicator helps a lot to identify the possible price levels when the asset is oversold or overbought, I saw myself drawing multiple horizontal lines on these levels in lower timeframes so, in an uptrend or downtrend, I can try to get a pullback of these trends when the asset reaches oversold or overboght levels. So, I get the idea to make those lines visible in multiple timeframes so I don't need to draw it myself manually anymore. █  CONCEPT The trading concept to use this indicator is the concept to make entries on uptrend or downtrend pullbacks when the asset price reaches oversold or overbought levels. But this strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis. █  CUSTOMIZATION This indicator allows the trader to customize the following settings: GENERAL Text size   Changes the font size of the labels to improve accessibility.   Type: string   Options: `tiny`, `small`, `normal`, `large`.   Default: `small` RSI LEVELS · SETTINGS Pre-oversold Level   Changes the RSI Level to calculate the "pre-oversold" price level on the chart.   Type: int   Min: 1   Max: 49   Default: 33 Pre-overbought Level   Changes the RSI Level to calculate the "pre-overbought" price level on the chart.   Type: int   Min: 51   Max: 100   Default: 67 Show "Pre-over" Levels   Enables / Disables the pre-oversold and pre-overbought levels on the chart.   Type: bool   Default: true FRACTAL RAYS · SETTINGS Length   Changes the base length for the RSI calculation.   Type: int   Min: 1   Default: 14 Source   Changes the base source for the RSI calculation.   Type: float   Default: close FRACTAL RAYS · STYLE Ray Color   Changes the color of all fractal rays and its label.   Type: color   Default: color.rgb(187, 74, 207) Ray Style   Changes the style of all fractal rays.   Type: string   Options: `line.style_solid`, `line.style_dashed`, `line.style_dotted`   Default: line.style_dotted Ray Length   Changes the length of all fractal rays.   Type: int   Default: 15 FRACTAL RAYS · OVERSOLD Oversold Level   Changes the base RSI Level for fractal rays calculation.   Type: int   Min: 1   Default: 30 Oversold Prefix   Customizes the fractal ray label with a prefix text.   Type: string   Default: 🚀 Oversold Suffix   Customizes the fractal ray label with a suffix text.   Type: string   Default: (empty) FRACTAL RAYS · OVERBOUGHT Overbought Level   Changes the base RSI Level for fractal rays calculation.   Type: int   Min: 1   Default: 70 Overbought Prefix   Customizes the fractal ray label with a prefix text.   Type: string   Default: 🐻 Overbought Suffix   Customizes the fractal ray label with a suffix text.   Type: string   Default: (empty) FRACTAL RAYS · VISIBILITY RULES These rules are applied for each of fractal rays so, the traders can choose what timeframes they wants to show the fractal rays for each of it. The rule will be applied as the following condition: `if timeframe != CURRENT_TIMEFRAME and timeframe <= CHOSEN_OPTION`. Actually, the fractal rays are on the chart but, isn't visible because it was applied a transparent color, so it is visually not on the chart to prevent chart's over polution. LABELS Show Labels on Price Scale   Shows labels on price scale.   Type: bool   Default: false Show Price on Fractal Rays   Shows the RSI Level price on each of fractal rays respectively.   Type: bool   Default: false █  EXTERNAL LIBRARIES This script uses the `tk` library to calculate RSI Levels. It is a library that contains various functions that helps pine script developers to calculate RSI Levels. █  FUNCTIONS The library contains the following functions: fn_fractalVisibilityRule(string visibilityRule)   Converts the fractal rays timeframe visibility rule label to timestamp int.   Parameters:     visibilityRule: (string) Fractal ray visibility rule label.   Returns: (int) Fractal ray visibility rule timestamp. fn_requestFractal(string period, expression)   Converts the fractal rays timeframe visibility rule label to timestamp int.   Parameters:     period: (string) Timeframe period for the desired fractal.     expression: (mixed) Security expression that will be applied for calculation.   Returns: (mixed) A result determined by expression. fn_plotRay(float y, string label, color color, int length)   Plots ray after chart bars for the current time.   Parameters:     period: (string) Timeframe period for the desired fractal.     expression: (mixed) Security expression that will be applied for calculation.   Returns: (void) This function only plots the elements into the chart fn_plotRsiLevelRay(simple string period, simple int level, color color)   Plots RSI Levels ray after chart bars for the current time.   Parameters:     period: (simple string) Timeframe period.     level: (simple int) Relative Strength Index level.     color: (color) The color of both, ray and label text.   Returns: (void) This function only plots the elements into the chart
Penunjuk Pine Script®
oleh gabrielrtakeda
PivotThis library was designed to create three different datasets using Bill Williams fractals. The goal is to spot trends in reversal data and ultimately use these datasets to help predict future price reversals. First, the pivot() function is used to initialize and populate three separate arrays (high pivot , low pivot , all pivots ). Since each high/low price depends on the bar_index, the bar_index, pivot direction(high/low), and high/low values are compressed into a string to maintain the data's integrity ("__"). Once each string array is populated and organized by bar_index, all three are returned inside a tuple. The return value must be deconstructed H,L,A =pivot() for each array's values to be accessed using getPivot() . This boilerplate allows for data to be accessed more efficiently in a recursive environment. getPivot() was designed to be used inside of a for or while block to populate matrices for further analyses. Again, getPivot() return values must be exposed through deconstruction. x,d,y =getPivot(). See code for more details. pivot(int XLR) initializes and populates arrays Parameters XLR - number of bars to the left and right that must be lower for a high to be considered a pivotHigh, or vice versa. This number will drastically change the size and scope of the returned datasets. smaller values will produce much larger datasets, which might model short term price activity well. In contrast, larger values will produce smaller datasets which might model longer term price activity well. Returns - tuple [string ] getPivot(string arrayID, int index) accesses array data Parameters arrayID - the variable name for one of the three arrays returned by pivot(). index - the index of the provided array, with 0 being the most recent pivot point. can be set to " i " in a loop to access values recursively Returns - tuple
Perpustakaan Pine Script®
oleh NeoDaNomad