Rangebound — Penunjuk dan Strategi

Recent Range Detector Overview The Recent Range Detector is a specialized indicator designed to identify when an asset is currently range-bound, providing traders with clear support and resistance levels for range trading strategies. Unlike traditional indicators that focus on trend detection, this tool specifically answers the question: "Is the price range-bound right now, and what are the exact trading levels?" Key Features ✅ Smart Range Detection - Uses a multi-factor scoring system to identify legitimate ranges ✅ Dynamic Support/Resistance Levels - Automatically calculates and displays key trading levels ✅ Range Quality Scoring - Provides confidence levels (Strong/Moderate/Weak Range) ✅ Touch Validation - Counts actual price touches to confirm range reliability ✅ Breakout Detection - Alerts when price exits the established range ✅ Visual Clarity - Clean boxes, lines, and labels for easy interpretation How It Works The indicator analyses recent price action using three core metrics: Touch Quality (40%) - How many times price has respected support/resistance levels Containment Quality (40%) - What percentage of recent bars stayed within the range Recent Respect (20%) - Whether the latest price action confirms the range These combine into a Range Score (0-1) that determines range strength and reliability. Settings & Parameters Range Lookback Period (Default: 15) Number of bars to analyse for range detection Shorter periods = more responsive to recent ranges Longer periods = more stable, fewer false signals Range Tolerance (Default: 2.0%) Tolerance for price touches around exact highs/lows Lower values = stricter range requirements Higher values = more flexible range detection Minimum Touches (Default: 3) Required number of support/resistance touches for valid range Higher values = more confirmed ranges, fewer signals Lower values = more sensitive, earlier detection Visual Options Show Range Box: Displays the range boundaries Show Support/Resistance Lines: Extends levels into the future Understanding the Output Range Score (0.000 - 1.000) 0.7+ = Strong Range (Green) - High confidence range trading setup 0.5-0.7 = Moderate Range (Yellow) - Decent range with some caution 0.3-0.5 = Weak Range (Orange) - Low confidence, be careful <0.3 = Not Ranging - Avoid range trading strategies Range Status Classifications Strong Range - Perfect for range trading strategies Moderate Range - Good range with normal risk Weak Range - Marginal range, use smaller positions Not Ranging - Price is trending or too choppy for range trading Key Metrics in Info Table Range Size (%) - Size of the range relative to price level 5-15% = Ideal range size for most strategies <5% = Tight range, lower profit potential >15% = Wide range, higher profit potential but more risk Support/Resistance Levels - Exact price levels for entries/exits Use these as your key trading levels Support = potential buy zone Resistance = potential sell zone Total Touches - Number of times price respected the levels 3-5 touches = Newly formed range 6-10 touches = Well-established range 10+ touches = Very strong, reliable range Price Position (%) - Current location within the range 0-20% = Near support (potential long opportunity) 80-100% = Near resistance (potential short opportunity) 40-60% = Middle of range (wait for better entry) Visual Elements Range Box Green Box = Strong Range (Score ≥ 0.7) Yellow Box = Moderate Range (Score 0.5-0.7) Orange Box = Weak Range (Score 0.3-0.5) Support/Resistance Lines - Horizontal lines showing exact trading levels - Extend into the future for forward guidance - Colour matches the range strength Background Colouring - Subtle background tint during range periods - Helps quickly identify ranging vs trending markets Breakout Signals - 📈 RANGE BREAK UP - Price breaks above resistance - 📉 RANGE BREAK DOWN - Price breaks below support - Only appears for confirmed ranges (Score ≥ 0.5) Trading Applications Range Trading Strategy 1. Look for Range Score ≥ 0.5 2. Buy near support (Price Position 0-20%) 3. Sell near resistance (Price Position 80-100%) 4. Set stops just outside the range 5. Exit on breakout signals Breakout Strategy 1. Identify strong ranges (Score ≥ 0.7) 2. Wait for volume-confirmed breakout 3. Enter in breakout direction 4. Use previous resistance as support (or vice versa) Market Context - Strong ranges often occur after trending moves - Use higher timeframes to confirm overall market structure - Combine with volume analysis for better entries/exits Best Practices What to Look For ✅ Range Score ≥ 0.5 for trading consideration ✅ Multiple touches (5+) for confirmation ✅ Clear price rejection at levels ✅ Reasonable range size (5-15% for most assets) ✅ Recent price respect of boundaries What to Avoid ❌ Trading ranges with Score < 0.3 ❌ Very tight ranges (<3% size) - low profit potential ❌ Ranges with only 1-2 touches - not confirmed ❌ Ignoring breakout signals ❌ Trading against the higher timeframe trend Alerts Available - Range Detected - New range formation - Range Break Up - Upward breakout - Range Break Down - Downward breakout - Range Ended - Range condition ended Timeframe Recommendations - Daily Charts - Best for swing trading ranges - 4H Charts - Good for intermediate-term ranges - 1H Charts - Suitable for day trading ranges - Lower Timeframes - May produce more noise Conclusion The Recent Range Detector eliminates guesswork in range identification by providing objective, quantified range analysis. It's particularly valuable for traders who prefer range-bound strategies or need to identify when trending strategies should be avoided. Remember: No indicator is perfect. Always combine with proper risk management, volume analysis, and broader market context for best results. Disclaimer This indicator is for educational purposes only and should not be considered as financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making any trading decisions.

TNT This script just changes the background of the chart to show Trending(Green) / Range Bound(Red) Regions. The concept is very simple, al each candle we look at the size of the candle and use a moving average of these candle body size (ABS (close-open)) and compare it agains a double smoothened average, i.e. moving average of this average to find trending or not trending periods. I find it useful primarily for entry in options, a green background is more favourable for option buying and a red background is more favourable for option selling. This script tells you nothing about the direction of trade.

Range Bound Channel Index (RBCI) w/ Expanded Source Types [Loxx]Range Bound Channel Index (RBCI) w/ Expanded Source Types is a reversal and trend indicator. This version includes Bollinger bands to show trend exhaustion What is Range Bound Channel Index (RBCI)? Range Bound Channel Index (RBCI) is calculated by using a channel (bandwidth) filter (CF). Channel filter simultaneously fulfills two functions: removes low frequent trend formed by low frequent components of the spectrum; removes high frequency noise formed by the high frequent components of the spectrum. When RBCI approaches its local maximum the prices approach upper border of the trading channel and when RBCI approach its local minimum the prices approach the lower border of the trading corridor. Included: -Toggle on/off bar coloring -Loxx's Expanded Source Types

Stochastic Channels Donchain trend following system with overbought/ oversold areas inspired by stochastic. Multiplier to get non repainting HTF capability. features a smoothed price as well as moving average of the smoothed price, also inspired by the stochastic indicators %K and %D. This and slow stochastics compliment each other nicely. %D line colored by direction. Filled color areas represent overbought/oversold. Shows breakouts as well as giving targets and entries in rangebound markets.

Box Range Alert Simple Script for getting alerts on the crossing of Upper & Lower levels either way. Good for Free users as they can only use 1 alert at a time. So this indicator will be useful to get alerts on both Breakout Or Breakdowns. Just add input Price manually and set alerts.

Fractal Breakout V2 Version 2 of my fractal pattern aid ( Version 1 ). I added a bouncing line between the high and low trend lines, connecting consecutive extreme points. I also chased down a pesky bug in the slope calculation...and for now I have disabled the ability to change resolution basis for extreme detection (e.g. 30m on a 1hr chart). For fun, I added some shading to make it more apparent at a glance what is happening, but if you find it gimmicky, there's an option to turn that off. I am inexperienced with pattern recognition, so please send feedback if you have any ideas that would make this more useful. Thanks! Lemrin

Fractal Breakout First of all, huge credit to synapticEx , whose brilliant use of the security function inspired me to figure out a way to get quasi-shape boundaries automatically drawn on a chart. This study draws upper and lower trend lines, based on configurable fractal*** reversal detection, calculates slope from the last two upper or lower reversal points, and then extends a dotted line along the same slope...until the next upper (or lower) reversal occurs. If the high (or low) breaks this extension, the dotted line becomes solid to aid visibility. Reversal detection is configurable to use any number of ticks, but probably four to eight will work best. I made the inclusion of volume in the reversal logic optional (off by default) and left the existing SMA input found in synapticEx's code intact, albeit with a lower default. With the addition of trend lines, I found volume hindered identification of reversals, although I could try various other filters than the SMA included originally. I have also left intact the very nice ability to change the period and use the requested period identify reversals, courtesy of synapticEx. This could be used in a strategy, as the values plotted are actual values that are available to include in logic and do not include knowledge of the future. However , information is not available until the floor of half the number of ticks used in reversal detection (I then offset by that number to line things up visually). Having never heard of it until now, I just Googled the Bill Williams Alligator strategy, which looks interesting, so maybe I could see how this could be ported to that. ***As I typed this, I remembered that while making reversal detection configurable, I changed the detection logic simply to look for highest (or lowest) of the desired length of ticks. I don't know whether this is not strictly fractal anymore, but if desired, with a little work, I could make it require consecutive, consistent changes before and after each reversal again. Here are a few screenshots from hourly ticks, using the "current" (hourly) period, with and without volume, and playing with the number of points used to identify reversals. Not using volume Using volume

Kay_BBands v2 This is the second version of Kay_BBands. But this is infused with ADX. When +DI (Directional Index) is above -DI, then Upper band will be visible and vice-versa. This is when the ADX is above the threshold. 20 is the default but can be set to 25. When the ADX is below the specified threshold, both bands gets visible, showing no trending conditions. Use it with another band with setting 20/21, 0.6 deviation. Prices keeping above or below the 2nd bands upper or lower bounds shows trending conditions.