Chartprime — Penunjuk dan Strategi

Trend Duration Forecast [ChartPrime]⯁ OVERVIEW The Trend Duration Forecast indicator is designed to estimate the probable lifespan of a bullish or bearish trend. Using a Hull Moving Average (HMA) to detect directional shifts, it tracks the duration of each historical trend and calculates an average to forecast how long the current trend is statistically likely to continue. This allows traders to visualize both real-time trend strength and potential exhaustion zones with exceptional clarity. ⯁ KEY FEATURES Dynamic Trend Detection: Utilizes the Hull Moving Average to identify when price transitions into a new uptrend or downtrend. Trend Duration Counting: Measures the number of bars in each completed bullish and bearish phase to understand trend persistence. Forecast Projection: Automatically projects an estimated trend continuation line based on the average length of recent trends. Real-Time Updates: Continuously updates the “Real Length” label as the trend develops. Historical Data Table: Displays previous trend durations for both bullish and bearish cycles, along with their averages. Adaptive Sampling: Uses a customizable sample size to smooth out volatility in the forecast and provide statistically meaningful projections. Color-Based Clarity: Highlights uptrends in green and downtrends in orange for instant visual interpretation. ⯁ USAGE Use the Trend Detection Sensitivity setting to control how fast or slow the indicator reacts to trend changes — lower values increase responsiveness, while higher values smooth out noise. Compare the Real Length of the ongoing trend with the Probable Length forecast to estimate whether the move is nearing exhaustion. Observe the historical duration table to understand the average lifespan of trends in the current market structure. Use the color-coded HMA line and projection arrows to identify when momentum strength is fading and prepare for possible reversals. Ideal for swing or trend-following strategies where trend longevity is crucial to managing entries and exits effectively. ⯁ CONCLUSION The Trend Duration Forecast gives traders a quantitative edge by combining real-time trend tracking with statistical forecasting. It helps identify not only when a new trend begins, but also how long it’s likely to persist based on past market behavior. This indicator enhances timing precision for both entries and exits, supporting smarter trend-following decisions with clear, data-driven insights.

Zone Shift [ChartPrime]⯁ OVERVIEW Zone Shift is a dynamic trend detection tool that uses EMA/HMA-based bands to determine trend shifts and plot key reaction levels. It highlights trend direction through colored candles and marks important retests with visual cues to help traders stay aligned with momentum. ⯁ KEY FEATURES Dynamic EMA-HMA Band: Creates a three-line channel using the average of an EMA and HMA for the midline, and expands it using average candle range to form upper and lower bounds. This band visually adapts to market volatility. float ema = ta.ema(close, length) float hma = ta.hma(close, length-40) float dist = ta.sma(high-low, 200) float mid = math.avg(ema, hma) float top = mid + dist float bot = mid - dist Trend Detection (Band Cross Logic): Detects an uptrend when the Low crosses above the top band. Detects a downtrend when the High crosses below the bottom band. Bars change color to lime for uptrends and blue for downtrends. Trend Initiation Level: At the start of a new trend, the indicator locks in the extreme point (low for uptrend, high for downtrend) and plots a dashed horizontal level, serving as a potential retest zone. Trend Retest Signal: If price crosses back over the Trend Initiation level in the direction of the trend, a diamond label (⯁) is plotted at the retest point — confirming that price is revisiting a key shift level. Visual Band Layout: Midline: Dashed line shows the average of EMA and HMA. Top/Bottom: Solid lines showing dynamic thresholds above/below the midline. These help visualize compression, expansion, and possible breakout zones. Color-Based Candle Plotting: Candles are recolored in real time according to the current trend, allowing instant visual alignment with the market’s directional bias. Noise-Filtered Retests: To avoid repetitive signals, retests are only marked if they occur more than 5 bars after the previous one — filtering out minor fluctuations. ⯁ USAGE Use colored candles to align trades with the dominant trend. Treat dashed trendStart levels as important support/resistance zones. Watch for ⯁ diamond labels as confirmation of retests for continuation or entry. Use band boundaries to assess trend strength and volatility expansion. Combine with your existing setups to validate momentum and zone shifts. ⯁ CONCLUSION Zone Shift helps traders visually capture trend changes and key reaction points with precision. By combining band breakouts with real-time retest signals and trend-colored candles, this tool simplifies the process of reading market structure shifts and identifying high-confluence entry areas.

RSI-Adaptive T3 + Squeeze Momentum Strategy ✅ Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy 📌 Overview The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection . It adapts in real-time to market volatility to enhance entry precision and optimize risk. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals. Designed to be intuitive and accessible for traders from beginner to advanced levels. ✨ Key Features RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release 📊 Trading Rules Long Entry: When T3 crosses upward, momentum is positive, and the squeeze has just been released. Short Entry: When T3 crosses downward, momentum is negative, and the squeeze has just been released. Exit (Reversal): When the opposite condition to the entry is triggered, the position is reversed. 💰 Risk Management Parameters Pair & Timeframe: BTC/USD (30-minute chart) Capital (simulated): $30,00 Order size: `$100` per trade (realistic, low-risk sizing) Commission: 0.02% Slippage: 2 pips Risk per Trade: 5% Number of Trades (backtest period): 181 📊 Performance Overview Symbol: BTC/USD Timeframe: 30-minute chart Date Range: January 1, 2024 – July 3, 2025 Win Rate: 47.8% Profit Factor: 2.01 Net Profit: 173.16 (units not specified) Max Drawdown: 5.77% or 24.91 (0.79%) ⚙️ Indicator Parameters Indicator Name: RSI-Adaptive T3 + Squeeze Momentum RSI Length: 14 T3 Min Length: 5 T3 Max Length: 50 T3 Volume Factor: 0.7 BB Length: 27 (Multiplier: 2.0) KC Length: 20 (Multiplier: 1.5, TrueRange enabled) 🖼 Visual Support T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart, providing high clarity for quick trend analysis and execution. 🔧 Strategy Improvements & Uniqueness Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear , this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system . Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity . ✅ Summary The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management. With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use appropriate risk management when applying it.

Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values. Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0. It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation. How It Works The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity. Core Components 1. RSI-Based Trend Detection Calculates RSI using a customizable length (default: 14). Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones. 2. Parabolic SAR Applied to RSI A custom Parabolic SAR function tracks momentum within the RSI, not price. This allows the system to capture RSI trend reversals more responsively. Configurable SAR parameters: Start, Increment, and Maximum acceleration. 3. Signal Generation Long Entry: Triggered when the SAR flips below the RSI line. Short Entry: Triggered when the SAR flips above the RSI line. Optional RSI filter ensures that: Long entries only occur above a minimum RSI (e.g. 50). Short entries only occur below a maximum RSI. Built-in logic prevents new positions from being opened against trend without prior exit. Trade Modes & Controls Choose from: Long Only Short Only Long & Short Optional setting to reverse positions on opposite signal (instead of waiting for a flat close). Visual Features 1. RSI Plotting with Thresholds RSI is displayed in a dedicated pane with overbought/oversold fill zones. Custom horizontal lines mark threshold boundaries. 2. Parabolic SAR Overlay on RSI SAR dots color-coded for trend direction. Visible only when enabled by user input. 3. Entry & Exit Markers Diamonds: Mark entry points (above for shorts, below for longs). Crosses: Mark exit points. Strategy Strengths Provides early momentum reversal entries without relying on price candles. Combines oscillator and trend logic without repainting. Works well in both trending and mean-reverting markets. Easy to configure with fine-tuned filter options. Recommended Use Cases Intraday or swing traders who want to catch RSI-based reversals early. Traders seeking smoother signals than price-based Parabolic SAR entries. Users of RSI looking to reduce false positives via trend tracking. Customization Options RSI Length and Thresholds. SAR Start, Increment, and Maximum values. Trade Direction Mode (Long, Short, Both). Optional RSI filter and reverse-on-signal settings. SAR dot color customization. Conclusion The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics. Credit to ChartPrime for the original methodology, published under MPL-2.0.

Future Trend Channel [ChartPrime]The Future Trend Channel indicator is a dynamic tool for identifying trends and projecting future prices based on channel formations. The indicator uses SMA (Simple Moving Average) and volatility calculations to plot channels that visually represent trends. It also detects moments of lower momentum, indicated by neutral color changes in the channels, and projects future price levels for up to 50 bars ahead. ⯁ KEY FEATURES AND HOW TO USE ⯌ Dynamic Trend Channels : The indicator draws channels when a trend is identified. It uses a combination of SMA and volatility to determine the direction and strength of the trend. Each channel is visualized with a specific color, where green indicates an uptrend and orange represents a downtrend. Example of channels during uptrend and downtrend: ⯌ Momentum-Based Color Shifts : The indicator adapts its channel colors based on momentum changes. When the starting point (Y1) of a channel is higher than its ending point (Y2) during an uptrend, the channel turns neutral, indicating lower momentum and a possible ranging market. The same applies in a downtrend, where the channel turns neutral if Y1 is lower than Y2. Example of neutral momentum channels: ⯌ Future Price Projection : At the end of each channel, the indicator generates a projected future price based on the midpoint of the channel. By default, this projection is made 50 bars into the future, but users can adjust the number of bars to their preference. Example of future price projection: ⯌ Diamond Signals for Valid Trends : Lime-colored diamonds appear when an uptrend channel is confirmed, while orange diamonds indicate valid downtrend channels. These signals confirm the presence of a strong trend and help identify valid entry and exit points. Neutral channels, which indicate lower momentum, do not show diamond signals. Example of trend confirmation signals: ⯌ Customizable Settings : Users can adjust the channel length (how far back the trend is analyzed) and the width (which determines the channel boundaries based on volatility). The future price projection can also be customized to forecast further or fewer bars into the future. ⯁ USER INPUTS Trend Length : Sets the number of bars used to calculate the trend channels. Channel Width : Adjusts the width of the channels, based on volatility (ATR multiplier). Up and Down Colors : Allows customization of the colors used for uptrend and downtrend channels. Future Bars : Sets the number of bars used for future price projection. ⯁ CONCLUSION The Future Trend Channel indicator is a versatile tool for identifying and trading trends. With its ability to detect momentum shifts and project future prices, it provides traders with key insights for making more informed decisions. The use of diamond signals for trend validation adds an extra layer of confirmation, helping traders act with greater confidence during volatile or trending markets.