Mulakan

Multitimeframe

cd_HTF_bias_CxOverview: No matter our trading style or model, to increase our success rate, we must move in the direction of the trend and align with the Higher Time Frame (HTF). Trading "gurus" call this the HTF bias. While we small fish tend to swim in all directions, the smart way is to flow with the big wave and the current. This indicator is designed to help us anticipate that major wave. ________________________________________ Details and Usage: This indicator observes HTF price action across preferably seven different pairs, following specific rules. It confirms potential directional moves using CISD levels on a Medium Time Frame (MTF). In short, it forecasts the likely direction (HTF bias). The user can then search for trade opportunities aligned with this bias on a Lower Time Frame (LTF), using their preferred pair, entry model, and style. ________________________________________ Timeframe Alignment: The commonly accepted LTF/MTF/HTF combinations include: • 1m – 15m – H4 • 3m – H1 – Daily / 3m – 30m – Daily • 5m – H1 – Daily • 15m – H4 – Weekly • H1 – Daily – Monthly • H4 – Weekly – Quarterly Example: If you're trading with a 3m model on a 30m/3m setup, you should seek trades in the direction of the H1/Daily bias. ________________________________________ How It Works: The indicator first looks for sweeps on the selected HTF — when any of the last four candles are swept, the first condition is met. The second step is confirmation with a CISD close on the MTF — once a candle closes above/below the CISD level, the second condition is fulfilled. This suggests the price has made its directional decision. Example: If a previous HTF candle is swept and we receive a bearish CISD confirmation on H1, the HTF bias becomes bearish. After this, you may switch to a more granular setup like HTF: 30m and MTF: 3m to look for trade entries aligned with the bias (e.g., 30m sweep + 3m CISD). ________________________________________ How Is Bias Determined? • HTF Sweep + MTF CISD = SC (Sweep & CISD) • Latest Bullish SC → Bias: Bullish • Latest Bearish SC → Bias: Bearish • Price closes above the last Bearish SC → Bias: Strong Bullish • Price closes below the last Bullish SC → Bias: Strong Bearish • Strong Bullish bias + Bearish CISD (without HTF sweep) → Bias: Bullish • Strong Bearish bias + Bullish CISD (without HTF sweep) → Bias: Bearish • Bearish price violates SC high, but Bullish SC is untouched → Bias: Bullish • Bullish price violates SC low, but Bearish SC is untouched → Bias: Bearish • If neither side generates SC → Bias: No Bias The logic is built on the idea that a price overcoming resistance is stronger, and encountering resistance is weaker. This model is based on the well-known “Daily Bias” structure, but with personal refinements. ________________________________________ What’s on the Screen? • Classic HTF zones (boxes) • Potential MTF CISD levels • Confirmed MTF lines • Sweep zones when HTF sweeps occur • Result table showing current bias status ________________________________________ Usage: • Select HTF and MTF timeframes aligned with your trading timeframe. • Adjust color and position settings as needed. • Enter up to seven pairs to track via the menu. • Use the checkbox next to each pair to enable/disable them. • If “Ignore these assets” is checked, all pairs will be disabled, and only the currently open chart pair will be tracked. ________________________________________ Alerts: You can choose alerts for Bullish, Bearish, Strong Bullish, or Strong Bearish conditions. There are two types of alert sources: 1. From the indicator’s internal list 2. From TradingView’s watchlist Visual example: ________________________________________ How I Use It: • For spot trades, I use HTF: Weekly and MTF: H4 and look for Bullish or Strong Bullish pairs. • For scalping, I follow bias from HTF: Daily and MTF: H1. Example: If the indicator shows a Bearish HTF Bias, I switch to HTF: 30m and MTF: 3m and enter trades once bearish conditions are met (timeframe alignment). ________________________________________ Important Notes: • The indicator defines CISD levels only at HTF high and low levels. • If your chart is on a higher timeframe than your selected HTF/MTF, no data will appear. Example: If HTF = H1 and MTF = 5m, opening a chart on H4 will result in a blank screen. • The drawn CISD level on screen is the MTF CISD level. • Not every alert should be traded. Always confirm with personal experience and visual validation. • Receiving multiple Strong Bullish/Bearish alerts is intentional. (Trick 😊) • Please share your feedback and suggestions! ________________________________________ And Most Importantly: Don't leave street animals without water and food! Happy trading!
Penunjuk Pine Script®
oleh cdikici71
15
DeltaTrace ForecastDeltaTrace Forecast is a forward-looking projection tool that visualizes the probable directional path of price using a multi-timeframe momentum model rooted in volatility-adjusted nonlinear dynamics. Rather than relying on traditional indicators that react to price after the fact, DeltaTrace estimates future price motion by tracing the progression of momentum changes across expanding timeframes—then scaling those deltas using adaptive volatility to forecast a plausible path forward. At its core, DeltaTrace constructs a momentum vector from a series of smoothed z-scores derived from increasing multiples of the current chart's timeframe. These z-scores are normalized using a hyperbolic tangent function (tanh), which compresses extreme values and emphasizes meaningful deviations without being overly sensitive to outliers. This nonlinear normalization ensures that explosive moves are weighted with less distortion, while still preserving the shape and direction of the underlying trend. Once the z-scores are calculated for a range of 12 timeframes (from 1× the current timeframe up to 12×), the indicator computes the first difference between each adjacent pair. These differences—or deltas—represent the change in momentum from one timeframe to the next. In this structure, a strong positive delta implies momentum is strengthening as we look into higher timeframes, while a negative delta reflects waning or reversing strength. However, not all deltas are treated equally. To make the projection adaptive to market volatility and temporally meaningful, each delta is scaled by the square root of its corresponding timeframe multiple, weighted by the ATR (Average True Range) of the base timeframe. This square-root volatility scaling mirrors the behavior of Brownian motion and reflects the natural geometric diffusion of price over time. By applying this scaling, the model tempers its forecast according to recent volatility while maintaining proportional distance over longer time horizons. The result is a chain of projected price steps—11 in total—starting from the current closing price. These steps are cumulative, meaning each one builds upon the previous, forming a continuously adjusted polyline that represents the most recent forecast path of price. Each point in the forecast line is directional: if the next projected point is above the last, the segment is colored green (upward momentum); if below, it is colored red (downward momentum). This color coding gives immediate visual feedback on the nature of the projected path and allows for intuitive at-a-glance interpretation. What makes DeltaTrace unique is its combination of ideas from signal processing, time-series momentum analysis, and volatility theory. Instead of relying on static support/resistance levels or lagging moving averages, it dynamically adapts to both momentum curvature and volatility structure. This allows it to be used not just for trend confirmation, but also for top-down bias fading, reversal anticipation, and path-following strategies. Traders can use DeltaTrace in a variety of ways depending on their style: For trend traders, a consistent upward or downward curve in the forecast suggests directional continuation and can be used for position sizing or confirmation of bias. For mean-reversion traders, exaggerated divergence between the current price and the first few forecast points may indicate temporary exhaustion or overextension. For scalpers or intraday traders, the short-term bend or flattening of the initial segments can reveal early signs of weakening momentum or build-up before breakout. For swing traders, the full shape of the polyline gives an evolving map of market rhythm across time compression, allowing for context-aware decision-making. It’s important to understand that this is a path projection tool, not a precise price target predictor. The forecast does not attempt to predict exact price levels at exact bars, but rather illustrates how the market might evolve if the current multi-timeframe momentum structure persists. Like all models, it should be interpreted probabilistically and used in conjunction with other confirmation signals, risk management tools, or strategy frameworks. Inputs allow customization of the z-score calculation length and ATR window to tune the sensitivity of the model. The color scheme for up/down forecast segments can also be adjusted for personal preference. Additionally, users can toggle the polyline forecast on or off, which may be useful for pairing this indicator with others in a crowded chart layout. Because the forecast path is calculated only on the last bar, it does not repaint or shift once the candle closes—preserving historical accuracy for visual inspection and backtesting reference. However, it is also sensitive to changes in volatility and momentum structure, meaning it updates each bar as conditions evolve, making it most effective in real-time decision support. DeltaTrace Forecast is particularly well-suited for traders who want a deeper understanding of hidden momentum shifts across timeframes without relying on traditional trend-following tools. It reveals the shape of future possibility based on present dynamics, offering a compact yet powerful visualization of directional bias, transition risk, and path strength. To maximize its utility, consider pairing DeltaTrace with volume profiles, order flow tools, higher timeframe zones, or market structure indicators. Used in context, it becomes a powerful companion to both systematic and discretionary trading styles—especially for those who appreciate a blend of mathematics and intuition in their market analysis. This indicator is not based on magic or black-box logic; every component—from the z-score standardization to the volatility-adjusted deltas—is fully transparent and grounded in simple, interpretable mechanics. If you're looking for a reliable way to visualize multi-timeframe bias and momentum diffusion, DeltaTrace provides a unique lens through which to interpret future potential in an ever-shifting market landscape.
Penunjuk Pine Script®
oleh Tradenometry
1
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Strategi Pine Script®
oleh kamalverma1207
ASK Screener by AshpreetThe ASK Indicator is a custom-built breakout and trend continuation system designed for swing traders seeking high-probability entries with strong risk-reward ratios. Built using a combination of moving averages, momentum filters, volume confirmation, and price structure, this indicator helps identify stocks poised for explosive moves. It uses three key moving averages: the 44-period SMA (medium trend), 20-period DEMA (short-term strength, custom-coded), and 50-period WEMA (institutional trendline). Trades are only triggered when the price is above 50 WEMA, and the 20 DEMA is above the 44 SMA. Momentum is confirmed using RSI(14) within a healthy zone of 40–60, ensuring the stock is not overbought or oversold. To focus on breakout candidates, the stock must be trading within 10% of its 52-week high, and the weekly candle range must be under 10%, signaling compression before expansion. A valid ASK Signal occurs when these conditions are met along with a breakout above the previous day’s high and volume exceeding 1.5× the 20-day average. Once triggered, the indicator auto-plots the stop-loss (1× ATR) and two profit targets: 1:2 (TP1) and 1:4 (TP2). Additionally, the system detects a narrow range setup, where the last 3 daily candles are inside the previous 3-day range — a powerful consolidation signal. Alerts for both ASK entries and narrow ranges are included. This system is ideal for positional and short-term swing traders who want to combine structure, momentum, and volume in one powerful tool.
Penunjuk Pine Script®
oleh ashpreetkalra13
Market Energy – Trend vs Retest (with Saturation %)Market Energy – Trend vs Retest Indicator This indicator measures the bullish and bearish energy in the market based on volume-weighted price changes. It calculates two smoothed energy waves — bullish energy and bearish energy — using exponential moving averages of volume-adjusted price movements. The indicator detects trend changes and retests by comparing the relative strength of these waves. A saturation percentage quantifies the intensity of the current dominant side (bulls or bears) relative to recent highs. - High saturation (>70%) indicates strong momentum and dominance by bulls or bears. - Low saturation (<30%) suggests weak momentum and possible market indecision or consolidation. The background color highlights the current control: green for bulls, red for bears, with transparency indicating the saturation level. A label shows which side is currently in control along with the saturation percentage for quick interpretation. Use this tool to identify strong trends, possible retests, and momentum strength to support your trading decisions.
Penunjuk Pine Script®
oleh rikkeholm
1
Intra Bullish Strategy - Profit Ping v4.0ProfitPing 4.0 is a high-precision intraday swing trading strategy designed for global equity markets, including the US, South Africa, and Australia. The system identifies high-probability BUY and EXIT signals using a confluence of technical indicators and real-time volume dynamics. 🧠 Key Features: Dual EMA Crossover (7 & 14) for short-term trend confirmation Volume Spike Detection based on 20-period moving average RSI Momentum Filter (ideal zone: 55–65) to avoid overbought entries MACD Histogram & Signal Line Sync for trend momentum validation Candlestick Pattern Filtering (e.g. bullish engulfing, flags, breakout candles) Multi-Timeframe Confirmation (optional) for intraday trend alignment Dynamic Risk-to-Reward Logic built into alert framework Webhook-compatible JSON alerts for automation to Google Sheets, Power BI, and IBKR 🛠️ Alert System: BUY alert triggers when all bullish conditions align EXIT alert triggers only if a previous BUY exists for that ticker Trade status is updated live in Google Sheets and integrated with Power BI dashboards Orphaned EXITs (no matched BUY) are tracked separately for accuracy review 🔄 Ideal For: Traders seeking 1:2 to 1:5 risk/reward setups Automation-focused workflows (via TradingView → Google Sheets → Power BI) Swing traders wanting clean visual logs, automated P&L tracking, and optional IBKR execution
Strategi Pine Script®
oleh mill6soon
Advanced Liquidity & FVG Detector With Entry/Exit SignalsThe Advanced Liquidity & FVG Detector is more than just an indicator—it's a complete trading system that brings institutional-grade market analysis to individual traders. By combining liquidity detection, fair value gap analysis, sweep/grab pattern recognition, and intelligent risk management, this indicator provides everything needed for sophisticated market analysis and high-probability trading opportunities. Whether you're a day trader, swing trader, or position trader, this indicator adapts to your style and timeframe, providing the insights needed to make informed trading decisions with confidence. The Pine Script v6 compatibility ensures future-proof performance and seamless integration with the latest TradingView features. Transform your trading experience with professional-grade market structure analysis—tradable insights delivered in real-time, right on your chart.
Penunjuk Pine Script®
oleh Kikojol
High Probability Buy/Sell with SL & TP High-accuracy Buy/Sell signals with dynamic SL & Target—perfect for scalpers and swing traders,Smart trading signals with built-in risk management. Never miss a move.Auto Buy/Sell entries with real-time SL & TP levels—trade with confidence.Turn signals into strategy. Precision entries, clear exits.Your all-in-one trading assistant: entry, stop loss, and take profit—automated.Built for serious traders: Clean signals, sharp exits, and solid risk-reward.
Penunjuk Pine Script®
oleh sagarnale97
MTF EMA Pane with Diagnostics30 sec chart, 1 min EMA goes flat, I buy, 1 min EMA stays inside the group, I stay in the trade. Not financial advice. I am working on an Algo killer, stay tuned. I am dedicating the rest of my life, as short as it my be, to beating the Men behind the Algo's. Buy me some coffee. Send USDT thru ETH or Base to BYDFi 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Join BYDFi Referral Link: Spin for a possible $100 partner.bydfi.com Deposit: USDT via; ETH (ERC20) 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Tron (TRC20) TUs5u2YxtQrQfRwYK2CsMmSDGvND6Uopdj BNB/Base (BEP20) 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Solana 696LAngiQBbdk4m6k1ZBiKZrFtjTJo6dxCnVXMEePQea
Penunjuk Pine Script®
oleh Karman1320
VIX Filter/RSI/EMA Bias/Cum-TICK w/ Exhaustion Zone DashboardThis all-in-one dashboard gives intraday traders a real-time visual read of market conditions, combining volatility regime, trend bias, momentum exhaustion, and internal strength — all in a fully customizable overlay that won’t clutter your chart. 📉 VIX Market Regime Detector Identifies "Weak", "Normal", "Volatile", or "Danger" market states based on customizable VIX ranges and symbol (e.g., VXN or VIX). 📊 RSI Momentum Readout Displays real-time RSI from any selected timeframe or symbol, with adjustable length, OB/OS thresholds, and color-coded exhaustion alerts. 📈 EMA Trend Bias Scanner Compares fast and slow EMAs to define bullish or bearish bias, using your preferred timeframe, symbol, and EMA lengths — ideal for multi-timeframe setups. 🧠 Cumulative TICK Pressure & Exhaustion Engine Analyzes internal market strength using cumulative TICK data to classify conditions as: -Strong / Mild Bullish or Bearish Pressure -Choppy / No Edge -⚠️ Exhaustion Zones — when raw TICK values hit extreme highs/lows, a separate highlight box appears in the dashboard, warning of potential turning points All logic is customizable, including TICK symbol, timeframes, thresholds, and lookback periods. Scalpers and day traders who want fast, visual insight into market internals, exhaustion, and trend bias.
Penunjuk Pine Script®
oleh BKNY954RR
Internal Pivot Pattern [LuxAlgo]The Internal Pivot Pattern indicator is a novel method allowing traders to detect pivots without excessive delay on the chart timeframe, by using the lower timeframe data from a candle. It features custom colors for candles and zigzag lines to help identify trends. A dashboard showing the accuracy of the pattern is also included. 🔶 USAGE We define a pivot as the occurrence where the middle candle over a specific interval (for example, the most recent 21 bars) is the highest (pivot high) or the lowest (pivot low). This method commonly allows for identifying swing highs/lows on a trader's chart; however, this pattern can only be identified after a specific number of bars has been formed, rendering this pattern useless for real-time detection of swing highs/lows. This indicator uses a different approach, removing the need to wait for candles to form on the user chart; instead, we check the lower timeframe data of the current candle and evaluate for the presence of a pivot given the internal data, effectively providing pivot confirmation at the candle close. An internal pivot low pattern is indicative of a potential uptrend, while an internal pivot high is indicative of a potential downtrend. Candles are colored based on the last internal pivot detected, with blue candle colors indicating that the most recent internal pivot is a pivot low, indicating an uptrend, while an orange candle color indicates that the most recent internal pivot is a pivot high, indicating a downtrend. 🔹 Timeframes The timeframe setting allows controlling the amount of lower timeframe data to consider for the internal pivot detection. This setting must be lower than the user's chart timeframe. Using a timeframe significantly lower than the user chart timeframe will evaluate a larger amount of data for the pivot detection, making it less frequent, while using a timeframe closer to the chart timeframe can make the internal pivot detection more frequent, and more prone to false positives. 🔹 Accuracy Dashboard The Accuracy Dashboard allows evaluating how accurate the detected patterns are as a percentage, with a pattern being judged accurate if subsequent patterns are detected higher or lower than a previous one. For example, an internal pivot low is judged accurate if the following internal pivot is higher than it, indicating that higher highs have been made. This dashboard can be useful to determine the timeframe setting to maximize the respective internal pivot accuracy. 🔶 SETTINGS Timeframe: Timeframe for detecting internal swings Accuracy Dashboard: Enable or disable the Accuracy Dashboard. 🔹 Style Internal Pivot High: Color of the dot displayed upon the detection of an internal pivot high Internal Pivot Low: Color of the dot displayed upon the detection of an internal pivot low Zig-Zag: Color of the zig-zag segments connecting each internal pivot Candles: Enable candle coloring, with control over the color of the candles highlighting the detected trend
Penunjuk Pine Script®
oleh LuxAlgo
4
STOCK SCHOOL | SWING TRACKER Swing Tracker is a powerful tool that automatically identifies Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) directly on the chart, helping traders clearly understand market structure and trend direction. Designed for price action traders, it works seamlessly across all timeframes and instruments, offering clean visual labels for swing points to spot trend continuations or potential reversals. Whether you're following the trend or looking for structure shifts, Swing Tracker keeps you aligned with price action for smarter, more confident trading decisions.
Penunjuk Pine Script®
oleh stockschoolindia
1
Breakout Range Signal with Quality Analysis [Dova Lazarus]📌 Breakout Range Signal with Quality Analysis 🎓 Training-focused indicator for breakout logic, SL & TP behavior and signal quality assessment 🔷 PURPOSE This tool identifies breakout candles from a calculated channel range and visually simulates entries, stop losses, and take profits, providing live and historical performance metrics. ⚙️ MAIN SETTINGS 1️⃣ Channel Setup channel_length = 10 → how many candles are averaged to form channel boundaries channel_multiplier = 0.0 → adds expansion above/below the base channel channel_smoothing_type = SMA → smoothing method for high/low averaging 📊 The channel consists of two moving averages: one from highs, the other from lows. When expanded (via multiplier), it creates a buffer range for breakout validation. 2️⃣ Signal Detection Body > Channel % = 50 → a breakout candle's body must exceed 150% of the channel width Signal Mode:  • Weak → every valid breakout candle is highlighted  • Strong → only the first signal in a sequence is shown (helps reduce noise) 🟦 Bullish signals (blue):  • Candle opens inside the channel  • Closes above the channel  • Body is large enough  • Optional: confirms with trend (if enabled) 🟨 Bearish signals (yellow):  • Candle opens inside the channel  • Closes below the channel  • Body is large enough  • Optional: confirms with trend 3️⃣ Trend Filter (optional) Enabled via checkbox Uses a higher timeframe MA to filter signals Bullish signals are allowed only if price is below the trend MA Bearish signals only if price is above it ⏱️ trend_timeframe = 1D (typically set higher than the chart's timeframe) 🟢 Trend line is plotted if enabled 🎯 ENTRY, STOP LOSS & TAKE PROFIT LOGIC SL and TP are based on channel width, not fixed pip/tick size: 📍 Entry Price = close of the breakout candle 🛑 Stop Loss:  • Bullish → below the lower channel border (minus offset)  • Bearish → above the upper channel border (plus offset) 🎯 Take Profit:  • Bullish → entry + channel width × profit multiplier  • Bearish → entry − channel width × profit multiplier You can control: Profit Target Multiplier (e.g., 1.0 → TP = 1×channel width) Stop Loss Target Multiplier (e.g., 0.5 → SL = 0.5×channel width) Signals to Show = how many historical SL/TP setups to display 📈 Lines and labels ("TP", "SL") are drawn on the chart for clarity. 🧪 QUALITY ANALYSIS MODULE If enabled, the indicator will: Track each new signal (entry, SL, TP) Analyze outcomes:  • Win = TP hit before SL  • Loss = SL hit before TP  • Expired = signal unresolved after N bars Display statistics in a table (top-right corner): 📋 Table fields: ✅ Overall win rate 📈 Bullish win rate 📉 Bearish win rate 🔢 Total signals 🕓 Pending (still active trades) Maximum bars to wait for outcome is customizable (max_bars_to_analyze). 📐 VISUALIZATION TOOLS TP / SL lines per signal Labels “TP” and “SL” Optional channel lines and trendline for better context Colored bars for valid signals (blue/yellow) 📌 BEST USE CASES Understand how breakout signals are formed Learn SL/TP logic based on dynamic range Test how volatility affects trade outcomes Use as a visual simulation of trade behavior over time
Penunjuk Pine Script®
oleh DovaLazarus