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Pipe Bottoms Indicator Based on Thomas Bulkowski's TheoriesPipe bottom is a great indicator of short-term bullish reversal trading. Pipe bottoms appear as 2 "spikes" on the chart after a 2 weeks price drop downtrend, which look like 2 parallel lines on the chart. Based on Bulkowski and the definition on his Patternsite, those 2 "spikes" candles can be any shape, whether doji or any other kinds, thus, wicks length or candle bodies are NOT required in this type of trends. However, a wide price range for these 2 spikes compared to other candles that appeared in 2 weeks is required, so I made sure these 2 pipe bottoms have true ranges (candle length) bigger than the average true ranges in the past 10 trading days (14 calendar days). Then, a large price overlap must be between these 2 pipe bottoms, so I made sure that the high of either candle of the 2 pipe bottoms must be bigger than 40% of the true range added from the low of another candle, which in short, means that the high of the lower candle will at least be around the middle of the higher candle, and that will ensure price overlap. You can make this 50%, 60% or even 70% of the true range to ensure even greater price overlap, but you will find out that the signal amounts will decrease quite a lot after adjusting. Bulkowski also suggested 1% variation of the bottom price (low) of those 2 candles, I put it 5% (0.05) personally to get more signals since I do not solely rely on this indicator, and I want more pipe bottoms to show up on my chart for screening purposes. So, feel free to adjust that number for the identification of this pattern. Finally, the way I ensure it has been a downtrend or price drop is by checking if the price today is below the average of the last 10 trading days (14 calendar days), the price of the pipe bottoms must be below the moving averages of the past 10 trading days. I use hl2 here, feel free to change it to close or open as fit your strategy. Also, you can do this by making sure the candle close prices are decreasing in the past 10 trading days, or any other ways to ensure it's been in a downtrend, but for me, this works fine since again, this is just one of the many patterns I use, so I want more indicators to show up. So, as you can see on the chart. Whenever the pattern fits the indicator, a small white cross will show up under the candle with "Pipe" text next to it. But do NOT rush to buy yet, because in order to satisfy the pipe bottom pattern, the current close price must be higher than the high of the pipe bottom. And you will see green arrowups when a pipe bottom occurred the last candle, and the current close price is above the high of the pipe bottoms, that would be the entry point of this indicator. Overall it's a good pattern, especially for a trading bullish reversal after a huge price drop. You can adjust many numbers as I mentioned above to fit your needs, but make sure to add this with other indicators for your strategy, using only 1 indicator or pattern along is never a wise thing, especially in trading. Thanks guys, please like and share.
Indicatore Pine Script®
di BoilderRoomColdCaller
2
Support and Resistance linesThis indicator allows you to set 5 SR lines for 8 currency pairs. The SR line variables need to be set in the pine script. It is easy to add more currency pairs or change the number of SR lines. The indicator works in the following time frames: 1D, 12H, 8H, 6H, 4H In the active time frame green and red vertical lines indiate a potential reversal. Higher time frame occurrences are indicated by e.g. 8H, 12H labels above or below the price line. So, e.g. in the 12H window you can see D labels. And in the 8H window you can see 12H and D labels. The indicator recognizes 4 long and 4 short patterns. These patterns are very simple. See the section "Conditions for PriceAction patterns" in the pine script. If you desire please go ahead and change the patterns or add new ones. This is the most difficult part. If you come up with good ones please post them here.
Indicatore Pine Script®
di DS24
4
Volume Based Price ActionThis indicator is uses volume and common candlestick patterns to suggest potential trend reversals. It is not quite meant to be used as a buy/sell signal. Instead, it should be used to evaluate market psychology based on when the buyers or sellers fully dominated the price action. In the current version, the indicators looks for engulfing and pin-bar patterns. Optionally, it also considers rising volume as further confirmation to the signal. In future, I plan on allowing it to track more candlestick patterns. Please let me know if you have any suggestions, concerns, or comments!
Indicatore Pine Script®
di Zeenobit
5
Open Interest Z-Score [BackQuant]Open Interest Z-Score A standardized pressure gauge for futures positioning that turns multi venue open interest into a Z score, so you can see how extreme current positioning is relative to its own history and where leverage is stretched, decompressing, or quietly re loading. What this is This indicator builds a single synthetic open interest series by aggregating futures OI across major derivatives venues, then standardises that aggregated OI into a rolling Z score. Instead of looking at raw OI or a simple change, you get a normalized signal that says "how many standard deviations away from normal is positioning right now", with optional smoothing, reference bands, and divergence detection against price. You can render the Z score in several plotting modes: Line for a clean, classic oscillator. Colored line that encodes both sign and momentum of OI Z. Oscillator histogram that makes impulses and compressions obvious. The script also includes: Aggregated open interest across Binance, Bybit, OKX, Bitget, Kraken, HTX, and Deribit, using multiple contract suffixes where applicable. Choice of OI units, either coin based or converted to USD notional. Standard deviation reference lines and adaptive extreme bands. A flexible smoothing layer with multiple moving average types. Automatic detection of regular and hidden divergences between price and OI Z. Alerts for zero line and ±2 sigma crosses. Aggregated open interest source At the core is the same multi venue OI aggregation engine as in the OI RSI tool, adapted from NoveltyTrade's work and extended for this use case. The indicator: Anchors on the current chart symbol and its base currency. Loops over a set of exchanges, gated by user toggles: Binance. Bybit. OKX. Bitget. Kraken. HTX. Deribit. For each exchange, loops over several contract suffixes such as USDT.P, USD.P, USDC.P, USD.PM to cover the common perp and margin styles. Requests OI candles for each exchange plus suffix pair into a small custom OI type that carries open, high, low and close of open interest. Converts each OI stream into a common unit via the sw method: In COIN mode, OI is normalized relative to the coin. In USD mode, OI is scaled by price to approximate notional. Exchange specific scaling factors are applied where needed to match contract multipliers. Accumulates all valid OI candles into a single combined OI "candle" by summing open, high, low and close across venues. The result is oiClose , a synthetic close for aggregated OI that represents cross venue positioning. If there is no valid OI data for the symbol after this process, the script throws a clear runtime error so you know the market is unsupported rather than quietly plotting nonsense. How the Z score is computed Once the aggregated OI close is available, the indicator computes a rolling Z score over a configurable lookback: Define subject as the aggregated OI close. Compute a rolling mean of this subject with EMA over Z Score Lookback Period . Compute a rolling standard deviation over the same length. Subtract the mean from the current OI and divide by the standard deviation. This gives a raw Z score: oi_z_raw = (subject − mean) ÷ stdDev . Instead of plotting this raw value directly, the script passes it through a smoothing layer: You pick a Smoothing Type and Smoothing Period . Choices include SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA, and T3. The helper ma function applies the chosen smoother to the raw Z score. The result is oi_z , a smoothed Z score of aggregated open interest. A separate EMA with EMA Period is then applied on oi_z to create a signal line ma that can be used for crossovers and trend reads. Plotting modes The Plotting Type input controls how this Z score is rendered: 1) Line In line mode: The smoothed OI Z score is plotted as a single line using Base Line Color . The EMA overlay is optionally plotted if Show EMA is enabled. This is the cleanest view when you want to treat OI Z like a standard oscillator, watching for zero line crosses, swings, and divergences. 2) Colored Line Colored line mode adds conditional color logic to the Z score: If the Z score is above zero and rising, it is bright green, representing positive and strengthening positioning pressure. If the Z score is above zero and falling, it shifts to a cooler cyan, representing positive but weakening pressure. If the Z score is below zero and falling, it is bright red, representing negative and strengthening pressure (growing net de risking or shorting). If the Z score is below zero and rising, it is dark red, representing negative but recovering pressure. This mapping makes it easy to see not only whether OI is above or below its historical mean, but also whether that deviation is intensifying or fading. 3) Oscillator Oscillator mode turns the Z score into a histogram: The smoothed Z score is plotted as vertical columns around zero. Column colors use the same conditional palette as colored line mode, based on sign and change direction. The histogram base is zero, so bars extend up into positive Z and down into negative Z. Oscillator mode is useful when you care about impulses in positioning, for example sharp jumps into positive Z that coincide with fast builds in leverage, or deep spikes into negative Z that show aggressive flushes. 4) None If you only want reference lines, extreme bands, divergences, or alerts without the base oscillator, you can set plotting to None and keep the rest of the tooling active. The EMA overlay respects plotting mode and only appears when a visible Z score line or histogram is present. Reference lines and standard deviation levels The Select Reference Lines input offers two styles: Standard Deviation Levels Plots small markers at zero. Draws thin horizontal lines at +1, +2, −1 and −2 Z. Acts like a classic Z score ladder, zero as mean, ±1 as normal band, ±2 as outer band. This mode is ideal if you want a textbook statistical framing, using ±1 and ±2 sigma as standard levels for "normal" versus "extended" positioning. Extreme Bands Extreme bands build on the same ±1 and ±2 lines, then add: Upper outer band between +3 and +4 Z. Lower outer band between −3 and −4 Z. Dynamic fill colors inside these bands: If the Z score is positive, the upper band fill turns red with an alpha that scales with the magnitude of |Z|, capped at a chosen max strength. Stronger deviations towards +4 produce more opaque red fills. If the Z score is negative, the lower band fill turns green with the same adaptive alpha logic, highlighting deep negative deviations. Opposite side bands remain a faint neutral white when not in use, so they still provide structural context without shouting. This creates a visual "danger zone" for position crowding. When the Z score enters these outer bands, open interest is many standard deviations away from its mean and you are dealing with rare but highly loaded positioning states. Z score as a positioning pressure gauge Because this is a Z score of aggregated open interest, it measures how unusual current positioning is relative to its own recent history, not just whether OI is rising or falling: Z near zero means total OI is roughly in line with normal conditions for your lookback window. Positive Z means OI is above its recent mean. The further above zero, the more "crowded" or extended positioning is. Negative Z means OI is below its recent mean. Deep negatives often mark post flush environments where leverage has been cleared and the market is under positioned. The smoothing options help control how much noise you want in the signal: Short Z score lookback and short smoothing will react quickly, suited for short term traders watching intraday positioning shocks. Longer Z score lookback with smoother MA types (EMA, RMA, T3) give a slower, more structural view of where the crowd sits over days to weeks. Divergences between price and OI Z The indicator includes automatic divergence detection on the Z score versus price, using pivot highs and lows: You configure Pivot Lookback Left and Pivot Lookback Right to control swing sensitivity. Pivots are detected on the OI Z series. For each eligible pivot, the script compares OI Z and price at the last two pivots. It looks for four patterns: Regular Bullish – price makes a lower low, OI Z makes a higher low. This can indicate selling exhaustion in positioning even as price washes out. These are marked with a line and a label "ℝ" below the oscillator, in the bullish color. Hidden Bullish – price makes a higher low, OI Z makes a lower low. This suggests continuation potential where price holds up while positioning resets. Marked with "ℍ" in the bullish color. Regular Bearish – price makes a higher high, OI Z makes a lower high. This is a classic warning sign of trend exhaustion, where price pushes higher while OI Z fails to confirm. Marked with "ℝ" in the bearish color. Hidden Bearish – price makes a lower high, OI Z makes a higher high. This is often seen in pullbacks within downtrends, where price retraces but positioning stretches again in the direction of the prevailing move. Marked with "ℍ" in the bearish color. Each divergence type can be toggled globally via Show Detected Divergences . Internally, the script restricts how far back it will connect pivots, so you do not get stray signals linking very old structures to current bars. Trading applications Crowding and squeeze risk Z scores are a natural way to talk about crowding: High positive Z in aggregated OI means the market is running high leverage compared to its own norm. If price is also extended, the risk of a squeeze or sharp unwind rises. Deep negative Z means leverage has been cleaned out. While it can be painful to sit through, this environment often sets up cleaner new trends, since there is less one sided positioning to unwind. The extreme bands at ±3 to ±4 highlight the rare states where crowding is most intense. You can treat these events as regime markers rather than day to day noise. Trend confirmation and fade selection Combine Z score with price and trend: Bull trends with positive and rising Z are supported by fresh leverage, usually more persistent. Bull trends with flat or falling Z while price keeps grinding up can be more fragile. Divergences and extreme bands can help identify which edges you do not want to fade and which you might. In downtrends, deep negative Z that stays pinned can mean persistent de risking. Once the Z score starts to mean revert back toward zero, it can mark the early stages of stabilization. Event and liquidation context Around major events, you often see: Rapid spikes in Z as traders rush to position. Reversal and overshoot as liquidations and forced de risking clear the book. A move from positive extremes through zero into negative extremes as the market transitions from crowded to under exposed. The Z score makes that path obvious, especially in oscillator mode, where you see a block of high positive bars before the crash, then a slab of deep negative bars after the flush. Settings overview Z Score group Plotting Type – None, Line, Colored Line, Oscillator. Z Score Lookback Period – window used for mean and standard deviation on aggregated OI. Smoothing Type – SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA or T3. Smoothing Period – length for the selected moving average on the raw Z score. Moving Average group Show EMA – toggle EMA overlay on Z score. EMA Period – EMA length for the signal line. EMA Color – color of the EMA line. Thresholds and Reference Lines group Select Reference Lines – None, Standard Deviation Levels, Extreme Bands. Standard deviation lines at 0, ±1, ±2 appear in both modes. Extreme bands add filled zones at ±3 to ±4 with adaptive opacity tied to |Z|. Extra Plotting and UI Base Line Color – default color for the simple line mode. Line Width – thickness of the oscillator line. Positive Color – positive or bullish condition color. Negative Color – negative or bearish condition color. Divergences group Show Detected Divergences – master toggle for divergence plotting. Pivot Lookback Left and Pivot Lookback Right – how many bars left and right to define a pivot, controlling divergence sensitivity. Open Interest Source group OI Units – COIN or USD. Exchange toggles for Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit. Internally, all enabled exchanges and contract suffixes are aggregated into one synthetic OI series. Alerts included The indicator defines alert conditions for several key events: OI Z Score Positive – Z crosses above zero, aggregated OI moves from below mean to above mean. OI Z Score Negative – Z crosses below zero, aggregated OI moves from above mean to below mean. OI Z Score Enters +2σ – Z enters the +2 band and above, marking extended positive positioning. OI Z Score Enters −2σ – Z enters the −2 band and below, marking extended negative positioning. Tie these into your strategy to be notified when leverage moves from normal to extended states. Notes This indicator does not rely on price based oscillators. It is a statistical lens on cross venue open interest, which makes it a complementary tool rather than a replacement for your existing price or volume signals. Use it to: Quantify how unusual current futures positioning is compared to recent history. Identify crowded leverage phases that can fuel squeezes. Spot structural divergences between price and positioning. Frame risk and opportunity around events and regime shifts. It is not a complete trading system. Combine it with your own entries, exits and risk rules to get the most out of what the Z score is telling you about positioning pressure under the hood of the market.
Indicatore Pine Script®
di BackQuant
4
STRAT - MTF Dashboard + FTFC + Reversals v2.7# STRAT Indicator - Complete Description ## Overview A comprehensive multi-timeframe STRAT trading system indicator that combines market structure analysis, flip levels, Full Timeframe Continuity (FTFC), and reversal pattern detection across 12 timeframes. ## Core Features ### 1. **Multi-Timeframe STRAT Dashboard** - Displays STRAT combos (1, 2u, 2d, 3) across 12 timeframes: 1m, 5m, 15m, 30m, 1H, 4H, 12H, Daily, Weekly, Monthly, Quarterly, Yearly - Color-coded directional bias (green/red/doji) - Inside bars (●) and Outside bars (●) highlighted - Current timeframe marked with ★ ### 2. **HTF Flip Levels with Smart Grouping** - Displays higher timeframe (HTF) flip levels (open prices) as labels on the right side - Automatically groups multiple timeframes at the same price level (e.g., "★ 1H/4H/D") - Current timeframe flip level always displayed with ★ marker - Color-coded: Green (above price) / Red (below price) ### 3. **Full Timeframe Continuity (FTFC)** - User-selectable 4 timeframes for FTFC analysis (default: D, W, M, Q) - Green line: FTFC Up (highest open of 4 timeframes) - Red line: FTFC Down (lowest open of 4 timeframes) - Identifies when price is above/below all 4 timeframe opens ### 4. **Hammer & Shooting Star Detection** - **Hammer Pattern**: Long lower wick (≥2x body), small upper wick, signals potential bottom reversal - **Shooting Star Pattern**: Long upper wick (≥2x body), small lower wick, signals potential top reversal - Scans last 100 bars (adjustable) and marks ALL historical patterns - Chart markers: 🔨 (Hammer) below bars, 🔻 (Shooting Star) above bars - Dashboard column shows reversal patterns for each timeframe - Adjustable wick-to-body ratio sensitivity (1.5 to 5.0) ### 5. **Debug Tables** - **FTFC Debug**: Shows close vs. 4 timeframe opens, confirms all-green/all-red conditions - **Reversal Debug**: Real-time analysis of current bar - body size, wick measurements, ratios, and pattern qualification ## Settings ### Display Settings - Dashboard position (9 options: top-left to bottom-right) - Dashboard text size (tiny to huge) - Label offset and text size - Toggle individual features on/off ### FTFC Settings - Select 4 custom timeframes for continuity analysis - Default: Daily, Weekly, Monthly, Quarterly ### Reversal Settings - **Wick to Body Ratio**: Sensitivity for pattern detection (default 2.0) - **Lookback Bars**: How many historical bars to scan (default 100, max 500) - Show/hide reversal markers on chart - Show/hide reversal debug table ## Use Cases 1. **Momentum Trading**: Identify STRAT setups (2-2, 2-1-2 reversals, 3-bar plays) across multiple timeframes 2. **Swing Trading**: Use HTF flip levels as support/resistance and FTFC for trend confirmation 3. **Reversal Trading**: Catch hammer/shooting star patterns at key levels for counter-trend entries 4. **Multi-Timeframe Analysis**: Confirm alignment across timeframes before entering trades ## How to Use ### For STRAT Traders - Look for 2-1-2 reversal setups in the dashboard - Watch for inside bars (●) at HTF flip levels for breakout trades - Use outside bars (●) to identify potential volatility expansion ### For Reversal Traders - 🔨 Hammers after downtrends = potential long entries - 🔻 Shooting stars after uptrends = potential short entries - Combine with HTF flip levels for high-probability setups ### For Trend Followers - FTFC green line above = bullish structure - FTFC red line below = bearish structure - Enter when price breaks and holds above/below FTFC levels ## Visual Elements - **Green Labels**: HTF flip levels above current price (resistance) - **Red Labels**: HTF flip levels below current price (support) - **Lime Line**: FTFC Up (highest timeframe open) - **Red Line**: FTFC Down (lowest timeframe open) - **🔨 Icon**: Hammer pattern (potential reversal up) - **🔻 Icon**: Shooting Star pattern (potential reversal down) - **★ Symbol**: Current timeframe or multiple timeframes grouped ## Performance Notes This indicator performs 12 multi-timeframe security calls and may take 15-30 seconds to calculate on initial load. This is normal for comprehensive MTF analysis. ## Version v2.7 - Simplified reversal detection, current TF labeling, optimized performance --- **Perfect for**: STRAT traders, multi-timeframe analysts, reversal pattern traders, swing traders looking for high-probability setups with confluence across timeframes.
Indicatore Pine Script®
di Borsaliz
MTF VWAP + Candlestick VWAP Reactions (Bounce + Score)It’s an intraday VWAP + candlestick confluence tool that: Draws daily, weekly, monthly, yearly VWAPs. Detects textbook candlestick patterns, classed as BuH/BuM (bullish high/moderate) and BeH/BeM (bearish high/moderate) with colored boxes. Triggers long/short arrows only when price bounces off a VWAP by at least 0.15% AND there’s a recent matching pattern. Grades every signal as A / B / C with a score 1–10: A (8–10) = high-reliability pattern (BuH/BeH) + strong 2-candle body reaction (your A+ setups). B (5–8) = moderate pattern (BuM/BeM) + one solid bounce. C (1–5) = weaker / mixed context (scalpy or gamble).
Indicatore Pine Script®
di itsCoby4
FVG HTF# FVG HTF — Higher‑Timeframe Fair Value Gaps ## Summary - Plots higher‑timeframe Fair Value Gap (FVG) zones directly on your current chart. - Tracks fill progress using four methods: Any Touch, Midpoint Reached, Wick Sweep, Body Beyond. - Shows optional labels with timeframe source and live fill percentage; label text color is configurable. - Designed for clean overlays and efficient rendering with limits on graphics and bars processed. ## What It Does - Detects bullish and bearish FVGs from a chosen timeframe (or the chart timeframe) and renders: - Zone Top/Bottom lines and a dotted midpoint line - Semi‑transparent area fill between the edges - Optional label at the midpoint with a tooltip showing zone prices - Continuously updates zones forward and removes them when the selected fill condition is met. ## Inputs - `Enable FVG` (`fvgSH2`): Toggle detection/plotting on/off. - `Timeframe` (`fvgTF2`): Choose `Chart` or HTFs (`5 Minutes`, `15 Minutes`, `1 Hour`, `4 Hours`, `1 Day`, `1 Week`, `1 Month`). - `Fill Method` (`fvgFill2`): - Any Touch — wick or body touches any part of the zone - Midpoint Reached — price reaches at least the 50% of the zone - Wick Sweep — wick fully travels past the far edge and back inside (conceptually stricter than touch) - Body Beyond — candle body closes beyond the opposite edge (strong confirmation) - `Zones` colors (`fvgCb2`, `fvgCs2`): Bullish/Bearish zone colors. - `Labels` (`fvgLB2`): Show/Hide on‑chart labels. - `Label Color` (`fvgLBc2`): Color picker for label text (default: white). - `Max Bars Back` (`maxBars2`): Limits processing to recent bars for performance. ## Timeframe Rules - The helper `htfTF` prevents selecting a timeframe lower than the chart. If an invalid lower TF is chosen, it falls back to `timeframe.period`. - Supports minute, daily, weekly, and monthly aggregations that are safe for intraday/daily/weekly charts. ## Detection Logic - Uses rolling higher‑timeframe bars constructed on the fly and checks 3‑bar displacement patterns: - Bullish FVG: current HTF low above the high two bars ago AND previous HTF close above that high, with no direct gap condition. - Bearish FVG: current HTF high below the low two bars ago AND previous HTF close below that low, with no direct gap condition. - On detection, the script creates an FVG object with: - Top/Bottom lines (`lnTop`, `lnBtm`) and midpoint line (`lnAvg`) - Midpoint label (`lbTxt`) showing source timeframe and updating fill percentage - Semi‑transparent fill (`linefill`) for visual clarity ## Fill Tracking - Fill threshold depends on selected method: - Any Touch: opposite edge - Midpoint Reached: zone’s midpoint - Wick Sweep: stricter condition conceptually (implemented as an opposite‑edge threshold) - Body Beyond: requires close beyond the opposite edge - Each bar updates label x‑position and line endpoints forward; the label text shows the best fill ratio achieved. - When the threshold is reached, the FVG (label, lines, fill) is removed from the chart. ## Best Practices - Start with `Any Touch` to visualize broad repairs; switch to `Body Beyond` for conservative confirmations. - Use `1 Hour` or `4 Hours` overlays on 5m–15m charts for context; `1 Day` on 1H charts; `1 Week` on daily charts. - Keep labels on when monitoring fills intraday; hide labels for clean higher‑level context. - Adjust `Max Bars Back` if performance is impacted by many zones. ## Repainting Notes - HTF zones are computed on `timeframe.change(tf)` and therefore confirm on HTF bar closes. - Label endpoints extend each bar; detection itself avoids lookahead bias. For strict confirmation, align entries with HTF closes. ## Limitations - “Wick Sweep” is treated as a stricter touch to the far edge; it does not enforce a separate “return inside” bar state. - Label text color applies uniformly to bull/bear labels. If you need separate colors per side, contact the author. ## Credits & Version - Pine Script v6; © rithsilanew2020 ## Quick Start 1. Enable FVG and choose your HTF (e.g., `1 Hour`). 2. Pick a Fill Method (start with `Any Touch`). 3. Select zone colors and label text color. 4. Set `Max Bars Back` as needed for performance. 5. Use labels/tooltip values (Top/Mid/Bottom) to plan entries and manage risk.
Indicatore Pine Script®
di rithsila
Tactical Holding [SwissAlgo]Tactical Holding A visual framework for managing long-term positions across market cycles -------------------------------------------------------------- Purpose Instead of holding a fixed position through all market conditions , you can use this framework to adjust your exposure tactically . By reducing positions during distribution phases and accumulating during favorable accumulation zones, you may end up holding more units of the asset over complete market cycles - even if you temporarily exit or reduce exposure during unfavorable periods. This approach aims to help you compound your holdings by taking advantage of market volatility rather than simply enduring it. -------------------------------------------------------------- Recommended Settings Timeframe : Weekly (1W) chart
 Chart Type : Standard candlesticks (select 'Bar' type Candles) This indicator is designed for higher timeframe analysis. While it can be applied to other timeframes, the logic and signal generation are optimized for weekly charts to filter out short-term noise and focus on major market cycles. -------------------------------------------------------------- Key Features ♦ Market State Classification The indicator aims to categorize potential market conditions into five color-coded states based on technical confluences: * Bull (bright green): Multiple bullish indicators align * Bull Retrace (teal): Bullish structure with temporary weakness * Bull ⇆ Bear Reversal (yellow): Transitional phase between trends * Bear (bright red): Multiple bearish indicators align * Bear Retrace (Pale Red/Maroon): Bearish structure with temporary strength ♦ Visual Elements * Candles change color based on the current market state * A 50-period EMA tracks with the same color coding, providing visual trend context * Small arrow markers appear when specific pattern conditions are met (zones for potential distribution or accumulation) * A legend table (toggle on/off) explains the color system * A label shows the current state name on the chart ♦ Pattern Recognition The system monitors for two types of potential entry/exit zones: 1. State transition patterns after periods of market regime consistency 2. RSI divergence patterns (when price and momentum move in opposite directions) ♦ Customization * Toggle the legend table visibility through settings * All calculations are transparent and use standard technical analysis methods -------------------------------------------------------------- How It Works Think of this indicator as a traffic light system for your portfolio: ♦ Green zones suggest the asset might be in an environment where long-term holders historically have remained invested Bright green (Bull) : Multiple technical indicators align in a potentially strong bullish phase Pale green (Bull Retrace) : Bullish structure remains intact, but momentum shows temporary weakness - often a pullback within an uptrend ♦ Red zones suggest conditions where long-term holders might consider reducing exposure or waiting for better entry points Dark red (Bear) : Multiple technical indicators align in a potentially strong bearish phase Pale red (Bear Retrace) : Bearish structure remains intact but shows temporary strength - often a bounce within a downtrend ♦ Yellow zones indicate the market is in transition between bull and bear regimes - a time for increased attention as the trend direction becomes uncertain The system doesn't predict future prices. Instead, it helps you understand the current technical environment by doing the heavy lifting of analyzing multiple indicators at once and presenting them in a simple visual format. Example: During the 2022 crypto bear market, the indicator would have displayed extended red periods, signaling defensive conditions for holders. When accumulation arrows appeared in late 2022-early 2023, it highlighted potential re-entry zones as the technical regime transitioned back toward green, before the 2024 recovery. -------------------------------------------------------------- Who This Is For ♦ Long-term investors who want to hold assets through cycles but prefer a systematic approach to position sizing and timing rather than buying and never selling . ♦ Portfolio managers looking for a visual tool to help determine when to increase or decrease exposure to specific assets based on technical regime changes. ♦ Swing traders on higher timeframes who want to align their positions with the broader market structure rather than fighting the trend. This is not designed for: * Day traders or scalpers * Those seeking exact entry/exit prices * Automated trading systems (this is a visual decision-support tool) -------------------------------------------------------------- Understanding the Visuals When you apply Tactical Holding to a chart, you'll see: 1. Colored candles - Instantly see what market regime the asset is in 2. Colored EMA line (thick line) - Provides a dynamic support/resistance reference that changes color with market conditions 3. Small arrows (↑ ↓) - Mark bars where specific technical patterns complete 4. State label - Shows current market classification 5. Legend table (top right) - Quick reference guide for the color system 6. Warning banner (top center) - Reminds you to use weekly charts The visual design prioritizes clarity over complexity. You should be able to glance at a chart and immediately understand the current technical environment. -------------------------------------------------------------- Important Limitations This indicator cannot: * Predict future price movements * Guarantee profitable trades * Work equally well on all assets or timeframes * Replace your own research and risk management Technical considerations: * Divergence detection has a 3-bar confirmation lag (by design, to avoid false signals) * State transitions require multiple technical confirmations, which may cause delayed reactions to rapid market changes * The system is reactive, not predictive - it responds to price action after it occurs * Performance varies significantly between trending assets (like Solana) and stable assets (like Apple) -------------------------------------------------------------- Practical Application Consider using this indicator as one component of a broader investment framework: ♦ Understanding Position Context: The color-coded states can help frame your thinking about current holdings: Bull: Technical conditions that have historically been associated with sustained uptrends Bull Retrace: Pullbacks within an overall bullish structure- these periods may offer opportunities to evaluate entry points or reassess existing positions Reversal (Yellow): Transitional phases where the trend direction is unclear - periods that may warrant closer monitoring Bear Retrace: Temporary strength within an overall bearish structure - rallies that historically have often faded Bear: Technical conditions that have historically been associated with sustained downtrends ♦ Interpreting Signal Arrows: Arrow markers indicate when specific technical pattern conditions have been met. These are observation points, not instructions: A signal appearing doesn't mean immediate action is required Treat arrows as prompts for further analysis rather than automatic triggers Consider the broader context: fundamentals, your investment timeline, risk tolerance, and overall market conditions Signals show when historical technical patterns have formed - not whether those patterns will lead to the same outcomes as in the past The framework is designed to organize information visually, not to tell you what to do. Your investment decisions should incorporate this technical perspective alongside other factors relevant to your situation. -------------------------------------------------------------- Technical Methodology For transparency, the indicator uses: * RSI (14) with a 14-period SMA to assess momentum direction * MACD (12,26,9) to confirm trend strength and histogram momentum * Stochastic RSI with K and D line crossovers for additional confirmation * 50-period EMA as the primary trend filter * Linear regression-based slope analysis to detect flat/transitional periods * Pivot-based divergence detection following standard technical analysis principles All calculations use publicly available technical analysis formulas. Nothing is hidden or proprietary beyond the specific combination and weighting of these standard tools. -------------------------------------------------------------- Disclaimer This indicator is an educational and analytical tool only. It is not financial advice. * Trading and investing involve substantial risk of loss * Past performance of any technical system does not indicate future results * No indicator can predict market movements with certainty * Always conduct your own research and consult with qualified financial professionals * Never invest more than you can afford to lose * The creators of this indicator are not responsible for any trading losses * This tool is not affiliated with, endorsed by, or connected to TradingView, 3Commas, or any other trading platform * Use of this indicator is at your own risk Risk Management: Regardless of what any indicator shows, always use proper position sizing, stop losses, and risk management appropriate to your personal financial situation. This indicator provides a framework for analysis. Your decisions, research, and risk management determine your results.
Indicatore Pine Script®
di SwissAlgo
5
Smarter Money Volume Rejection Blocks [PhenLabs]📊 Smarter Money Volume Rejection Blocks – Institutional Rejection Zone Detection The Smarter Money Volume Rejection Blocks indicator combines high-volume analysis with statistical confidence intervals to identify where institutional traders are actively defending price levels through volume spikes and rejection patterns. 🔥 Core Methodology Volume Spike Detection analyzes when current volume exceeds moving average by configurable multipliers (1.0-5.0x) to identify institutional activity Rejection Candle Analysis uses dual-ratio system measuring wick percentage (30-90%) and maximum body ratio (10-60%) to confirm genuine rejections Statistical Confidence Channels create three-level zones (upper, center, lower) based on ATR or Standard Deviation calculations Smart Invalidation Logic automatically clears zones when price significantly breaches confidence levels to maintain relevance Dynamic Channel Projection extends confidence intervals forward up to 200 bars with customizable length Support Zone Identification detects bullish rejections where smart money absorbs selling pressure with high volume and strong lower wicks Resistance Zone Mapping identifies bearish rejections where institutions defend price levels with volume spikes and pronounced upper wicks Visual Information Dashboard displays real-time status table showing volume spike conditions and active support/resistance zones ⚙️ Technical Configuration Dual Confidence Interval Methods: Choose between ATR-Based for trend-following environments or StdDev-Based for range-bound statistical precision Volume Moving Average: Configurable period (default 20) for baseline volume comparison calculations Volume Spike Multiplier: Adjustable threshold from 1.0 to 5.0 times average volume to filter institutional activity Rejection Wick Percentage: Set minimum wick size from 30% to 90% of candle range for valid rejection detection Maximum Body Ratio: Configure body-to-range ratio from 10% to 60% to ensure genuine rejection structures Confidence Multiplier: Statistical multiplier (default 1.96) for 95% confidence interval calculations Channel Projection Length: Extend confidence zones forward from 10 to 200 bars for anticipatory analysis ATR Period: Customize Average True Range lookback from 5 to 50 bars for volatility-based calculations StdDev Period: Adjust Standard Deviation period from 10 to 100 bars for statistical precision 🎯 Real-World Trading Applications Identify high-probability support zones where institutional buyers have historically defended price with significant volume Map resistance levels where smart money sellers consistently reject higher prices with volume confirmation Combine with price action analysis to confirm breakout validity when price approaches confidence channel boundaries Use invalidation signals to exit positions when smart money zones are definitively breached Monitor the real-time dashboard to quickly assess current market structure and active rejection zones Adapt strategy based on calculation method: ATR for trending markets, StdDev for ranging conditions Set alerts on confidence level breaches to catch potential trend reversals or continuation patterns 📈 Visual Interpretation Guide Green Zones indicate bullish rejection blocks where buyers defended with high volume and lower wicks Red Zones indicate bearish rejection blocks where sellers defended with high volume and upper wicks Solid Center Lines represent the core rejection price level where maximum volume activity occurred Dashed Confidence Boundaries show upper and lower statistical limits based on volatility calculations Zone Opacity decreases as channels extend forward to indicate decreasing confidence over time Dashboard Color Coding provides instant visual feedback on active volume spike and zone conditions ⚠️ Important Considerations Volume-based indicators identify historical rejection zones but cannot predict future price action with certainty Market conditions change rapidly and institutional activity patterns evolve continuously High volume does not guarantee level defense as market structure can shift without warning Confidence intervals represent statistical probabilities, not guaranteed price boundaries
Indicatore Pine Script®
di PhenLabs
Geometric Price-Time Triangle Calculator═══════════════════════════════════════════════════ GEOMETRIC PRICE-TIME TRIANGLE CALCULATOR ═══════════════════════════════════════════════════ Calculates Point C of a geometric triangle using different rotation angles from any selected price swing. Based on Bradley F. Cowan's Price-Time Vector (PTV) methods from "Four-Dimensional Stock Market Structures and Cycles." 📐 WHAT IT DOES ──────────────────────────────────────────────────── Select two points (A and B) on any swing, choose an angle, and the indicator calculates where Point C would be mathematically. It's just vector rotation applied to price charts. This shows you where Point C lands in both price AND time based on pure geometry - not a prediction, just a calculation. 🎯 FEATURES ──────────────────────────────────────────────────── ✓ 10 Different Angles • Gann ratios: 18.435° (1x3), 26.565° (1x2), 45° (1x1), 63.435° (2x1), 71.565° (3x1) • Other angles: 30°, 60°, 90°, 120°, 150° ✓ Visual Triangle • Adjustable colors and opacity for points A, B, C • Line styles: Solid, Dashed, Dotted • Extend lines: None, Left, Right, Both ✓ Crosshair at Point C • Shows where Point C is located • Vertical line = bar position • Horizontal line = price level ✓ Data Table • Shows all calculations • Price-to-Bar ratio • Point C location (price and bars from A/B) • Toggle on/off 🔧 HOW TO USE ──────────────────────────────────────────────────── 1. Pick your swing start date (Point A) 2. Pick your swing end date (Point B) - make sure these dates capture the actual high/low of your swing 3. Choose an angle from the dropdown 4. Look at Point C - that's where the geometry puts it Different angles = different Point C locations. Whether price actually goes there is up to the market. 📊 THE ANGLES ──────────────────────────────────────────────────── - 18.435° (1x3) - Shallow rotation - 26.565° (1x2) - Moderate rotation - 45° (1x1) - Gann's balanced ratio - 60° - Equilateral triangle (default) - 63.435° (2x1) - Steeper rotation - 71.565° (3x1) - Very steep rotation - 90° - Right angle - 120°-150° - Obtuse angles 💡 PRACTICAL USE ──────────────────────────────────────────────────── → See where geometric patterns would complete → Test if your market respects certain angles → Find where multiple angles converge → Compare projected Point C to actual price action → Use 90° to see symmetrical price/time relationships → Backtest historical swings to see what worked ⚙️ HOW IT WORKS ──────────────────────────────────────────────────── 1. Takes your AB swing 2. Calculates the BA vector (reverse direction) 3. Normalizes price and time using Price-to-Bar ratio 4. Rotates the vector by your selected angle 5. Converts back to chart coordinates Basic trigonometry. That's all it is. 📚 BACKGROUND ──────────────────────────────────────────────────── Based on Bradley F. Cowan's Price-Time Vector (PTV) concept from "Four-Dimensional Stock Market Structures and Cycles" and W.D. Gann's geometric angle analysis. Cowan observed that markets sometimes complete geometric patterns. This tool calculates where those patterns would complete mathematically. Whether price actually respects these geometric relationships is something you need to test yourself. ⚠️ IMPORTANT ──────────────────────────────────────────────────── - This is geometric calculation, not prediction - Point C shows where the math puts it, not where price will go - Some angles might work for your market, some won't - Test it yourself on historical data - Price-to-Bar Ratio stays constant regardless of angle - Don't trade based on this alone - Works on all timeframes and assets 🎨 CUSTOMIZATION ──────────────────────────────────────────────────── - Show/hide triangle - Individual colors for A, B, C points - Adjust opacity (0-100) - Line styles for each triangle side - Extend lines left/right/both/none - Show/hide data table - Crosshair color and width - Customizable table colors ═══════════════════════════════════════════════════
Indicatore Pine Script®
di geneclash
7
Buying Climax + Spring [Darwinian]Buying Climax + Spring Indicator Overview Advanced Wyckoff-based indicator that identifies potential market reversals through **Buying Climax** patterns (exhaustion tops) and **Spring** patterns (accumulation bottoms). Designed for traders seeking high-probability reversal signals with strict uptrend validation. --- Method 🔴 Buying Climax Detection Identifies exhaustion patterns at market tops using multi-condition analysis: **Base Buying Climax (Red Triangle)** - Volume spike > 1.8x average - Range expansion > 1.8x average - New 20-bar high reached - Close finishes in lower 30% of bar range - **Strict uptrend validation**: Price must be 30%+ above 20-day low **Enhanced Buying Climax (Maroon Triangle)** - All Base BC conditions PLUS: - Gap up from previous high - Intraday fade (close < open and below midpoint) - **Higher confidence reversal signal** 🟢 Wyckoff Spring Detection Identifies accumulation patterns at support levels: - Price breaks below recent pivot low (false breakdown) - Close recovers above pivot level (rejection) - Occurs at trading range low - Optional volume confirmation (1.5x+ average) - Limited to 3 attempts per pivot (prevents over-signaling) ✅ Uptrend Validation Filter **Four-condition composite filter** prevents false signals in sideways/downtrending markets: 1. Close-to-close rise ≥ 5% over lookback period 2. Price structure: Close > MA(10) > MA(20) 3. Swing low significantly below current price 4. **Primary requirement**: Current high ≥ 30% above 20-day low --- Input Tuning Guide Buying Climax Settings: **Volume & Range Thresholds** - `Volume Spike Threshold`: Default 1.8x - Lower (1.5x) = More signals, more noise - Higher (2.0-2.5x) = Fewer but stronger exhaustion signals - `Range Spike Threshold`: Default 1.8x - Adjust parallel to volume threshold - Higher values = extreme volatility required **Pattern Detection** - `New High Lookback`: Default 20 bars - Shorter (10-15) = Recent highs only - Longer (30-50) = Major breakout detection - `Close Off High Fraction`: Default 0.3 (30%) - Lower (0.2) = Stricter rejection requirement - Higher (0.4-0.5) = Allow weaker intraday fades - `Gap Threshold`: Default 0.002 (0.2%) - Increase (0.005-0.01) for stocks with wider spreads - Decrease (0.001) for tight-spread instruments - `Confirmation Window`: Default 5 bars - Shorter (3) = Faster confirmation, more false positives - Longer (7-10) = Wait for deeper automatic reaction Uptrend Filter Settings **Critical for Signal Quality** - `Minimum Rise from 20-day Low`: Default 0.30 (30%) - **Most important parameter** - Lower (0.20-0.25) = More signals in moderate uptrends - Higher (0.40-0.50) = Only extreme parabolic moves - `Pole Lookback`: Default 30 bars - Shorter (20) = Recent momentum focus - Longer (40-50) = Longer-term trend validation - `Minimum Rise % for Pole`: Default 0.05 (5%) - Adjust based on market volatility - Higher in strong bull markets (7-10%) Wyckoff Spring Settings - `Pivot Length`: Default 6 bars - Shorter (3-4) = More frequent pivots, more signals - Longer (8-10) = Major support/resistance only - `Volume Threshold`: Default 1.5x - Higher (1.8-2.0x) = Stronger conviction required - Disable volume requirement for low-volume stocks - `Trading Range Period`: Default 20 bars - Match to consolidation timeframe being traded - Shorter (10-15) for intraday patterns - Longer (30-40) for weekly consolidations --- Recommended Workflow 1. **Start with defaults** on daily timeframe 2. **Adjust uptrend filter** first (30% rise parameter) - Too many signals? Increase to 35-40% - Too few? Decrease to 25% 3. **Fine-tune volume/range multipliers** based on instrument volatility 4. **Enable alerts** for real-time monitoring: - Base BC → Initial warning - Enhanced BC → High-priority reversal - Confirmed BC (AR) → Strong follow-through - Spring → Accumulation opportunity --- Alert System - **Base Buying Climax**: Standard exhaustion pattern detected - **Enhanced BC (Gap+Fade)**: Higher confidence reversal setup - **Confirmed BC (AR)**: Automatic reaction validated (price drops below BC midline) - **Wyckoff Spring**: Accumulation pattern at support --- Best Practices - Combine with support/resistance analysis - Watch for BC clusters (multiple timeframes) - Spring patterns work best after Buying Climax distribution - Backtest parameters on your specific instruments - Higher timeframes (daily/weekly) = higher reliability --- Technical Notes - Built with Pine Script v6 - No repainting (signals finalize on bar close) - Minimal CPU usage (optimized calculations) - Works on all timeframes and instruments - Overlay indicator (displays on price chart) --- *Indicator follows classical Wyckoff methodology with modern volatility filters*
Indicatore Pine Script®
di DarwinDarma
5
T3 [DCAUT]█ T3 📊 INDICATOR OVERVIEW The T3 Moving Average is a smoothing indicator developed by Tim Tillson and published in Technical Analysis of Stocks & Commodities magazine (January 1998). The algorithm applies Generalized DEMA (Double Exponential Moving Average) recursively three times, creating a six-pole filtering effect that aims to balance noise reduction with responsiveness while minimizing lag relative to price changes. 📐 MATHEMATICAL FOUNDATION Generalized DEMA (GD) Function: The core building block is the Generalized DEMA function, which combines two exponential moving averages with weights controlled by the volume factor: GD(input, v) = EMA(input) × (1 + v) - EMA(EMA(input)) × v Where v is the volume factor parameter (default 0.7). This weighted combination reduces lag while maintaining smoothness by extrapolating beyond the first EMA using the double-smoothed EMA as a reference. T3 Calculation Process: T3 applies the GD function three times recursively: T3 = GD(GD(GD(Price, v), v), v) This triple nesting creates a six-pole smoothing effect (each GD applies two EMA operations, resulting in 2 × 3 = 6 total EMA calculations). The cascading refinement progressively filters noise while preserving trend information. Step-by-Step Breakdown: First GD application: GD1 = EMA(Price) × (1 + v) - EMA(EMA(Price)) × v - Creates initial smoothed series with lag reduction Second GD application: GD2 = EMA(GD1) × (1 + v) - EMA(EMA(GD1)) × v - Further refines the smoothing while maintaining responsiveness Third GD application: T3 = EMA(GD2) × (1 + v) - EMA(EMA(GD2)) × v - Final refinement produces the T3 output Volume Factor Impact: The volume factor (v) is the key parameter controlling the balance between smoothness and responsiveness. Tim Tillson recommended v = 0.7 as the optimal default value. Lower volume factors (v closer to 0.0): Increase the extrapolation effect, making T3 more responsive to price changes but potentially more sensitive to noise. Higher volume factors (v closer to 1.0): Reduce the extrapolation effect, producing smoother output with less sensitivity to short-term fluctuations but slightly more lag. The recursive application of the volume factor through three GD stages creates a nonlinear filtering effect that achieves superior lag reduction compared to traditional moving averages of equivalent smoothness. 📊 SIGNAL INTERPRETATION Trend Direction Signals: Green Line (T3 Rising): Smoothed trend line is rising, may indicate uptrend, consider bullish opportunities when confirmed by other factors Red Line (T3 Falling): Smoothed trend line is falling, may indicate downtrend, consider bearish opportunities when confirmed by other factors Gray Line (T3 Flat): Smoothed trend line is flat, indicates unclear trend or consolidation phase Price Crossover Signals: Price Crosses Above T3: Price breaks above smoothed trend line, may be bullish signal, requires confirmation from other indicators Price Crosses Below T3: Price breaks below smoothed trend line, may be bearish signal, requires confirmation from other indicators Price Position Relative to T3: Price sustained above T3 may indicate uptrend, sustained below may indicate downtrend Supporting Analysis Signals: T3 Slope Angle: Steeper slopes indicate stronger trend momentum, flatter slopes suggest weakening trends Price Deviation: Significant price separation from T3 may indicate overextension, watch for pullback or reversal Dynamic Support/Resistance: T3 line can serve as dynamic support (in uptrends) or resistance (in downtrends) reference 🎯 STRATEGIC APPLICATIONS Common Usage Patterns: The T3 Moving Average can be incorporated into trading analysis in various ways. These represent common approaches used by market participants, though effectiveness varies by market conditions and requires individual testing: Trend Filtering: T3 can be used as a trend filter by observing the relationship between price and the T3 line. The color-coded slope (green for rising, red for falling, gray for sideways) provides visual feedback about the current trend direction of the smoothed series. Price Crossover Analysis: Some traders monitor crossovers between price and the T3 line as potential indication points. When price crosses the T3 line, it may suggest a change in the relationship between current price action and the smoothed trend. Multi-Timeframe Observation: T3 can be applied to multiple timeframes simultaneously. Observing alignment or divergence between different timeframe T3 indicators may provide context about trend consistency across time scales. Dynamic Reference Level: The T3 line can serve as a dynamic reference level for price action analysis. Price distance from T3, price reactions when approaching T3, and the behavior of price relative to the T3 line can all be incorporated into market analysis frameworks. Application Considerations: Any trading application should be thoroughly tested on historical data before implementation T3 performance characteristics vary across different market conditions and asset types The indicator provides smoothed trend information but does not predict future price movements Combining T3 with other analytical tools and market context improves analysis quality Risk management practices remain essential regardless of the analytical approach used 📋 DETAILED PARAMETER CONFIGURATION Source Selection: Close Price (Default): Standard choice for end-of-period trend analysis, reduces intrabar noise HL2 (High+Low)/2: Provides balanced view of price action, considers full bar range HLC3 or OHLC4: Incorporates more price information, may provide smoother results Selection Impact: Different sources affect signal timing and smoothness characteristics Length Configuration: Shorter periods: More responsive, faster reaction, frequent signals, but higher false signal risk in choppy markets Longer periods: Smoother output, fewer signals, better for long-term trends, but slower response Default 14 periods is a common baseline, but optimal length varies by asset, timeframe, and market conditions Parameter selection should be determined through backtesting rather than general recommendations Volume Factor Configuration: Lower values (closer to 0.0): Increase responsiveness but also noise sensitivity Higher values (closer to 1.0): Increase smoothness but slightly more lag Default 0.7 (Tim Tillson's recommendation) provides good balance for most applications Optimal value depends on signal frequency versus reliability preference, test for specific use case Parameter Optimization Approach: There are no universal "best" parameter values - optimal settings depend on the specific asset, timeframe, market regime, and trading strategy Start with default values (Length: 14, Volume Factor: 0.7) and adjust based on observed performance in your target market Conduct systematic backtesting across different market conditions to evaluate parameter sensitivity Consider that parameters optimized for historical data may not perform identically in future market conditions Monitor performance and be prepared to adjust parameters as market characteristics evolve 📈 DESIGN FEATURES & MARKET ADAPTATION Algorithm Design Features: Simple Moving Average (SMA): Equal weighting across lookback period Exponential Moving Average (EMA): Exponentially decreasing weights on historical prices T3 Moving Average: Recursive Generalized DEMA with adjustable volume factor Market Condition Adaptation: Trending markets: Smoothed indicators generally align more closely with sustained directional movement Ranging markets: All moving averages may generate more crossover signals during non-trending periods Volatile conditions: Higher smoothing parameters reduce short-term sensitivity but increase lag Indicator behavior relative to market conditions should be evaluated for specific applications USAGE NOTES This indicator is designed for technical analysis and educational purposes. The T3 Moving Average has limitations and should not be used as the sole basis for trading decisions. Like all trend-following indicators, its performance varies with market conditions, and past signal characteristics do not guarantee future results. Key Points: T3 is a lagging indicator that responds to price changes rather than predicting future movements Signals should be confirmed with other technical tools and market context Parameters should be optimized for specific market and timeframe Risk management and position sizing are essential Market regime changes can affect indicator effectiveness Test strategies thoroughly on historical data before live implementation Consider broader market context and fundamental factors
Indicatore Pine Script®
di DCAUT
Ichimoku Screener [Pineify]Advanced Multi-Timeframe Ichimoku Screener - Complete Market Analysis Tool This sophisticated Ichimoku Screener represents a comprehensive approach to multi-timeframe market analysis, combining four distinct Ichimoku-based indicators into a unified screening system. Unlike traditional single-symbol indicators, this screener provides simultaneous analysis across multiple assets and timeframes, enabling traders to identify optimal trading opportunities with enhanced precision and efficiency. Key Features Multi-asset screening capability for up to 10 symbols simultaneously Four customizable timeframes per symbol for comprehensive analysis Four integrated Ichimoku-based indicators working in harmony Real-time visual feedback with color-coded signals Customizable Ichimoku parameters for personalized analysis Clean, organized table display for easy interpretation Automated signal strength assessment and timing How It Works The screener employs the traditional Ichimoku Kinko Hyo methodology, utilizing five core components: Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A (Senkou Span A), Leading Span B (Senkou Span B), and displacement calculations. Each component is mathematically calculated using specific period lengths: Conversion Line = (Highest High + Lowest Low) / 2 over conversion period Base Line = (Highest High + Lowest Low) / 2 over base period Leading Span A = (Conversion Line + Base Line) / 2 Leading Span B = (Highest High + Lowest Low) / 2 over lagging span period The screener processes these calculations across multiple securities simultaneously using TradingView's security() function, enabling real-time cross-asset analysis. The system tracks state changes using barssince() functions to provide precise timing information for each signal type. Trading Ideas and Insights This screener excels in identifying momentum convergence patterns where multiple Ichimoku components align across different timeframes. The most powerful signals occur when: Cloud color aligns with price position relative to the cloud Conversion Line crosses above/below Base Line in the same direction as cloud bias Multiple timeframes show consistent directional bias Entry signals appear with minimal bars since formation (indicating fresh momentum) For trend following strategies , focus on symbols where the cloud maintains consistent color across higher timeframes while showing recent entry signals on lower timeframes. For reversal opportunities , identify assets where cloud color changes coincide with price re-entering the cloud after extended periods above or below. The screener particularly excels in cryptocurrency and forex markets where momentum shifts can be dramatic and sustained. By monitoring multiple timeframes simultaneously, traders can identify when short-term signals align with longer-term trends, significantly improving trade success probability. How Multiple Indicators Work Together The four integrated indicators create a comprehensive analytical framework through synergistic interaction: Ichimoku Cloud (IchiCld) establishes the primary trend bias by comparing Leading Span A with Leading Span B. When Span A > Span B, the cloud displays bullish characteristics; when Span A < Span B, bearish characteristics emerge. The indicator tracks duration since the last cloud color change, providing momentum persistence insight. Ichimoku Lagging Cloud (IchiLagCld) determines price position relative to the displaced cloud formation. This indicator identifies whether current price action occurs above, below, or within the cloud structure, revealing support/resistance dynamics and trend confirmation signals. Conversion vs Base (IchiC>Base) monitors the relationship between short-term (Conversion Line) and medium-term (Base Line) momentum. Crossovers in this relationship often precede significant price movements and provide early trend change warnings. Ichimoku Entry (IchiEnt) synthesizes all components into actionable signals by requiring alignment between cloud bias, price position, and conversion/base relationship. This multi-factor confirmation approach significantly reduces false signals while maintaining sensitivity to genuine momentum shifts. The mathematical foundation ensures that each indicator contributes unique information while maintaining logical consistency. The system's strength lies in requiring multiple confirmations before generating entry signals, following Ichimoku's original philosophy of comprehensive market analysis. Unique Aspects This implementation distinguishes itself through several innovative features: Advanced State Tracking : Unlike standard Ichimoku indicators that show current values, this screener tracks duration since state changes , providing crucial timing information for signal freshness and momentum strength assessment. Multi-Asset Efficiency : The screener eliminates the need to manually check multiple charts by presenting comparative analysis across assets and timeframes in a single view, dramatically improving analytical efficiency. Customizable Visual Feedback : The color-coding system adapts to different signal types and strengths, with recent signals receiving enhanced visual prominence to draw attention to fresh opportunities. Professional Table Architecture : The organized display accommodates up to 40 symbol-timeframe combinations (10 symbols × 4 timeframes), with intelligent pagination for optimal screen utilization. Signal Correlation Analysis : By displaying multiple timeframes for each symbol, traders can quickly identify timeframe confluence and divergence patterns that would otherwise require extensive manual analysis. How to Use Symbol Configuration : Enter up to 10 symbols in the Symbol input group. Use full exchange:ticker format for optimal compatibility (e.g., "BINANCE:BTCUSDT"). Timeframe Selection : Configure four timeframes in ascending order for logical analysis progression. Recommended combinations include 1m/5m/15m/1h for intraday analysis or 1h/4h/1D/1W for swing trading. Ichimoku Parameters : Adjust the four core parameters based on your trading style: Conversion Line Length (default: 9) - Controls short-term momentum sensitivity Base Line Length (default: 26) - Determines medium-term trend identification Leading Span B Length (default: 52) - Sets long-term trend calculation period Displacement (default: 26) - Controls forward projection of cloud structure Signal Interpretation : Green backgrounds indicate bullish conditions Red backgrounds indicate bearish conditions Numerical values show bars since last state change "L:" prefix indicates long entry signals "S:" prefix indicates short entry signals "N/A" indicates neutral/transitional states Trading Workflow : Scan for symbols showing consistent signals across multiple timeframes, prioritize fresh signals (low bar counts), and use individual charts for precise entry timing and risk management. Customization The screener accommodates various trading approaches through parameter adjustment: Scalping Configuration : Use shorter periods (Conversion: 5, Base: 13, Span B: 26) with 1m/3m/5m/15m timeframes for high-frequency opportunities. Swing Trading Setup : Employ standard parameters with 4h/1D/3D/1W timeframes for position trading across days or weeks. Cryptocurrency Optimization : Given crypto's 24/7 nature, consider using 4h/8h/1D/3D combinations for optimal signal timing. Symbol selection can focus on correlated assets (e.g., major cryptocurrencies) for sector analysis or diverse assets for portfolio opportunity identification. The flexible timeframe configuration allows adaptation to any market's characteristic volatility and trading patterns. Conclusion This Advanced Multi-Timeframe Ichimoku Screener transforms traditional single-chart analysis into a comprehensive market monitoring system. By integrating multiple Ichimoku components across various timeframes and assets, it provides traders with unprecedented analytical efficiency and signal reliability. The mathematical rigor of traditional Ichimoku analysis combines with modern Pine Script capabilities to deliver a professional-grade screening tool. Whether used for identifying trend continuation opportunities, spotting potential reversals, or conducting broad market analysis, this screener offers the analytical depth and practical functionality required for serious trading applications. The system's emphasis on signal confluence across multiple timeframes and indicators significantly improves trade selection quality while reducing analysis time. For traders seeking to leverage Ichimoku's proven methodology across multiple markets simultaneously, this screener represents an essential analytical upgrade to traditional single-symbol approaches.
Indicatore Pine Script®
di Pineify
Al Brooks II.IOI.OO# Al Brooks Consecutive Bar Patterns (II/OO/IOI) ## Overview This indicator automatically identifies Al Brooks' key consecutive bar patterns that signal important market transitions. Enhanced with both **traditional (high/low)** and **body (open/close)** detection methods for more accurate signals. ## Pattern Definitions ### 📊 II Pattern - Double Inside Bars - **Signal**: Two consecutive inside bars - **Market Meaning**: Volatility contraction, breakout pending - **Trading**: Wait for breakout, trade with momentum ### 📊 OO Pattern - Double Outside Bars - **Signal**: Two consecutive outside bars - **Market Meaning**: Volatility expansion, trend acceleration or reversal - **Trading**: Watch for exhaustion at key levels ### 📊 IOI Pattern - Inside-Outside-Inside - **Signal**: Inside bar → Outside bar → Inside bar sequence - **Market Meaning**: Market indecision, complex consolidation - **Trading**: Avoid early entries, wait for clear direction ## Features ✅ **Dual Detection System** - Traditional: Uses high/low prices (catches wicks) - Body: Uses open/close prices (focuses on real trading range) - Combined: Triggers when either condition is met ✅ **Visual Markers** - Clear labels above/below bars - Color-coded backgrounds - Detection source indicators (h=high/low, b=body, +=both) ✅ **Smart Alerts** - Real-time pattern detection - Separate alerts for body-only patterns - Customizable notification settings ## Settings **Display Options** - Show/hide each pattern type - Toggle detection methods - Customize colors **Detection Modes** - High/Low Detection: Traditional wick-based - Body Detection: Open/Close based - Show Source: Display what triggered the pattern ## Trading Tips 1. **Best Timeframes**: 1H, 4H, Daily 2. **Combine with**: Volume, trend indicators, support/resistance 3. **Risk Management**: - II: Tight stops inside pattern - OO: Wider stops due to volatility - IOI: Scale in positions ## Label Meanings - `ii` / `OO` / `ioi` = Base pattern detected - `+h` suffix = High/Low triggered - `+b` suffix = Body triggered - `++` suffix = Both conditions met (strongest signal) ## Author Notes Based on Al Brooks' price action methodology from his Trading Price Action series. This enhanced version adds body detection to filter out wick-only patterns and reduce false signals. --- *For educational purposes only. Trading involves risk.* **Version 2.0** | **Pine Script v6** | **@JimmC98**
Indicatore Pine Script®
di JimmC98
Dual Channel System [Alpha Extract]A sophisticated trend-following and reversal detection system that constructs dynamic support and resistance channels using volatility-adjusted ATR calculations and EMA smoothing for optimal market structure analysis. Utilizing advanced dual-zone methodology with step-like boundary evolution, this indicator delivers institutional-grade channel analysis that adapts to varying volatility conditions while providing high-probability entry and exit signals through breakthrough and rejection detection with comprehensive visual mapping and alert integration. 🔶 Advanced Channel Construction Implements dual-zone architecture using recent price extremes as foundation points, applying EMA smoothing to reduce noise and ATR multipliers for volatility-responsive channel widths. The system creates resistance channels from highest highs and support channels from lowest lows with asymmetric multiplier ratios for optimal market reaction zones. // Core Channel Calculation Framework ATR = ta.atr(14) // Resistance Channel Construction Resistance_Basis = ta.ema(ta.highest(high, lookback), lookback) Resistance_Upper = Resistance_Basis + (ATR * resistance_mult) Resistance_Lower = Resistance_Basis - (ATR * resistance_mult * 0.3) // Support Channel Construction Support_Basis = ta.ema(ta.lowest(low, lookback), lookback) Support_Upper = Support_Basis + (ATR * support_mult * 0.4) Support_Lower = Support_Basis - (ATR * support_mult) // Smoothing Application Smoothed_Resistance_Upper = ta.ema(Resistance_Upper, smooth_periods) Smoothed_Support_Lower = ta.ema(Support_Lower, smooth_periods) 🔶 Volatility-Adaptive Zone Framework Features dynamic ATR-based width adjustment that expands channels during high-volatility periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine breakouts. The asymmetric multiplier system optimizes zone boundaries for realistic market behavior patterns. // Dynamic Volatility Adjustment Channel_Width_Resistance = ATR * resistance_mult Channel_Width_Support = ATR * support_mult // Asymmetric Zone Optimization Resistance_Zone = Resistance_Basis ± (ATR_Multiplied * ) Support_Zone = Support_Basis ± (ATR_Multiplied * ) 🔶 Step-Like Boundary Evolution Creates horizontal step boundaries that update on smoothed bound changes, providing visual history of evolving support and resistance levels with performance-optimized array management limited to 50 historical levels for clean chart presentation and efficient processing. 🔶 Comprehensive Signal Detection Generates break and bounce signals through sophisticated crossover analysis, monitoring price interaction with smoothed channel boundaries for high-probability entry and exit identification. The system distinguishes between breakthrough continuation and rejection reversal patterns with precision timing. 🔶 Enhanced Visual Architecture Provides translucent zone fills with gradient intensity scaling, step-like historical boundaries, and dynamic background highlighting that activates upon zone entry. The visual system uses institutional color coding with red resistance zones and green support zones for intuitive market structure interpretation. 🔶 Intelligent Zone Management Implements automatic zone relevance filtering, displaying channels only when price proximity warrants analysis attention. The system maintains optimal performance through smart array management and historical level tracking with configurable lookback periods for various market conditions. 🔶 Multi-Dimensional Analysis Framework Combines trend continuation analysis through breakthrough patterns with reversal detection via rejection signals, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with volatility-normalized accuracy. 🔶 Advanced Alert Integration Features comprehensive notification system covering breakouts, breakdowns, rejections, and bounces with customizable alert conditions. The system enables precise position management through real-time notifications of critical channel interaction events and zone boundary violations. 🔶 Performance Optimization Utilizes efficient EMA smoothing algorithms with configurable periods for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic historical level cleanup and performance-optimized visual rendering for smooth operation across all timeframes. Why Choose Dual Channel System ? This indicator delivers sophisticated channel-based market analysis through volatility-adaptive ATR calculations and intelligent zone construction methodology. By combining dynamic support and resistance detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade channel analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying volatility conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to breakout trading, zone reversals, and trend continuation analysis with clearly defined risk parameters and comprehensive alert integration. Also to note, this indicator is best suited for the 1D timeframe.
Indicatore Pine Script®
di AlphaExtract
Session Based Liquidity# Session Based Liquidity Indicator - Educational Open Source ## 📊 Overview The Session Based Liquidity indicator is a comprehensive educational tool designed to help traders understand and visualize liquidity concepts across major trading sessions. This indicator identifies Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) levels created during Asia, London, and New York trading sessions, providing insights into institutional order flow and potential market reversal zones. ## 🎯 Key Features ### 📈 Multi-Session Tracking - **Asia Session**: Tokyo/Sydney overlap (20:00-02:00 EST) - **London Session**: European markets (03:00-07:30 EST) - **New York Session**: US markets (09:30-16:00 EST) - Individual session toggle controls for focused analysis ### 💧 Liquidity Level Detection - **Buy-Side Liquidity (BSL)**: Identifies stop losses above swing highs where short positions get stopped out - **Sell-Side Liquidity (SSL)**: Identifies stop losses below swing lows where long positions get stopped out - Advanced filtering algorithm to identify only significant liquidity zones - Configurable pivot strength for sensitivity adjustment ### 🎨 Visual Management System - **Unclaimed Levels**: Active liquidity zones that haven't been hit (default: black lines) - **Claimed Levels**: Swept liquidity zones showing historical interaction (default: red lines) - Customizable line styles, colors, and widths for both states - Dynamic label system showing session origin and level significance - Real-time line extension and label positioning ### ⚙️ Advanced Configuration - **Pivot Strength**: Adjust sensitivity (1-20) for liquidity detection - **Max Levels Per Side**: Control number of tracked levels (1-10) per session - **Label Offset**: Customize label positioning - **Style Customization**: Full control over visual appearance ## 📚 Educational Value ### Core Concepts Explained - **Liquidity Pools**: Areas where stop losses and pending orders cluster - **Liquidity Sweeps**: When price moves through levels to trigger stops, then reverses - **Session-Based Analysis**: How different market sessions create distinct liquidity characteristics - **Institutional Order Flow**: Understanding how large players interact with retail liquidity ### Trading Applications - Identify high-probability reversal zones after liquidity sweeps - Understand where stop losses are likely clustered - Avoid trading into obvious liquidity traps - Use session context for timing entries and exits - Recognize institutional accumulation and distribution patterns ### Code Learning Opportunities - **Pine Script v6 Best Practices**: Modern syntax and efficient coding patterns - **Object-Oriented Design**: Custom types and methods for clean code organization - **Array Management**: Dynamic data structure handling for performance - **Visual Programming**: Line, label, and styling management - **Session Detection**: Time-based filtering and timezone handling ## 🔧 Technical Implementation ### Performance Optimized - Efficient memory management with automatic cleanup - Limited historical level tracking to maintain responsiveness - Optimized array operations for smooth real-time updates - Smart filtering to reduce noise and focus on significant levels ### Code Architecture - **Modular Design**: Clean separation of concerns with dedicated methods - **Type Safety**: Custom SessionLiquidity type for organized data management - **Extensible Structure**: Easy to modify and enhance for specific needs - **Educational Comments**: Comprehensive documentation throughout ## 💡 Usage Guide ### Basic Setup 1. Add indicator to chart 2. Configure session times for your timezone 3. Adjust pivot strength based on timeframe (higher for lower timeframes) 4. Enable/disable sessions based on your trading focus ### Interpretation - **Unclaimed levels**: Watch for price interaction and potential reversals - **Claimed levels**: Use as potential support/resistance after sweep - **External levels**: Beyond session range, higher significance - **Internal levels**: Within session range, may indicate ranging conditions ### Best Practices - Use higher timeframes (15m+) for cleaner signals - Combine with price action analysis for confirmation - Consider session overlap periods for increased significance - Monitor multiple sessions for comprehensive market view ## 🎓 Educational Goals This open-source project aims to: - Demystify liquidity concepts for retail traders - Provide practical coding examples in Pine Script v6 - Encourage understanding of institutional trading behavior - Foster community learning and collaboration - Bridge the gap between theory and practical application ## 📄 License & Usage Released under Mozilla Public License 2.0 - free for educational and commercial use with proper attribution. ## 🤝 Contributing As an open-source educational tool, contributions are welcome! Whether it's bug fixes, feature enhancements, or educational improvements, your input helps the trading community learn and grow. ## ⚠️ Disclaimer This indicator is for educational purposes only. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. --- *By studying and using this indicator, traders can develop a deeper understanding of market microstructure and improve their ability to read institutional order flow patterns.*
Indicatore Pine Script®
di Omarqqq
1
Script_Algo - Fibo Correction Strategy🔹 Core Concept The strategy is built on combining Fibonacci retracement levels, candlestick pattern confirmation, and trend filtering for trade selection. It performs well on the 1-hour timeframe across many cryptocurrency pairs. Particularly on LINKUSDT over the past year and a half, despite the not very optimal 1:1 risk/reward ratio. The logic is simple: after a strong impulse move, the price often retraces to key Fibonacci levels (specifically, the 61.8% level). If a confirming candlestick (pattern) appears at this moment, the strategy looks for an entry in the direction of the main trend. 🔹 Indicators Used in the Strategy ATR (Average True Range) — Used to calculate the stop-loss and take-profit levels. EMA (9 and 21) — Additional moving averages for assessing the direction of movement (not directly used in entry conditions, but the logic can be expanded to include them). SMA (Trend Filter, 20 by default) — The trend direction filter. Trades are only opened in its direction. Fibonacci Levels — The 61.8% retracement level is calculated based on the high and low of the previous candle. 🔹 Entry Conditions 🟢 Long (Buy): Previous Candle: Must be green (close higher than open). Must have a body not smaller than a specified minimum. The upper wick must not exceed 30% of the body size. → This filters out "weak" or "indecisive" candles. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes above this level. Closes above the Trend Filter (SMA) line. A position is opened only if there are no other open trades at the moment. 🔴 Short (Sell): Previous Candle: Must be red (close lower than open). Must have a body not smaller than a specified minimum. The lower wick must not exceed 30% of the body size. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes below this level. Closes below the Trend Filter (SMA) line. A trade is opened only if there are no other open positions. 🔹 Risk Management Stop-Loss = ATR × multiplier (default is 5). Take-Profit = ATR × the same multiplier. Thus, the default risk/reward ratio is 1:1, but it can be easily adjusted by changing the coefficient. Although, strangely enough, this ratio has shown the best results on some assets on the 1-hour timeframe. 🔹 Chart Visualization Fibonacci level for Long — Green line with circles. Fibonacci level for Short — Red line with circles. Trend Filter line (SMA) — Blue. 🔹 Strengths of the Strategy ✅ Utilizes a proven market pattern — retracement to the 61.8% level. ✅ Further filters entries using trend and candlestick patterns. ✅ Simple, transparent logic that is easy to expand (e.g., adding other Fib levels, an EMA filter, etc.). 🔹 Limitations ⚠️ Performs better in trending markets; can generate false signals during ranging (sideways) conditions. ⚠️ The fixed 1:1 risk/reward ratio is not always optimal and could be refined. ⚠️ Performance depends on the selected timeframe and ATR parameters. 📌 Summary: The strategy seeks corrective entries in the direction of the trend, confirmed by candlestick patterns. It is versatile and can be applied to forex pairs, cryptocurrencies, and stocks. ⚠️ Not financial advice. Pay close attention to risk management to avoid blowing your account. The strategy is not repainting — I have personally verified it through real testing — but it may not necessarily replicate the same results in the future, as the market is constantly changing. Test it, profit, and good luck to everyone!
Strategia Pine Script®
di Script_Algo
2
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System ## Strategy Overview The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities. The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences. ## Core Algorithm Architecture The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods. The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly. RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments. Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion. ## Advanced Position Management System The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications. Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments. Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications. ## Comprehensive Risk Management Framework The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades. The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions. Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations. The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders. ## Visual Customization and Interface Design The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections. Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements. Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections. ## Signal Quality Enhancement Features The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality. Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization. Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations. ## Implementation Guidelines and Optimization The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability. Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations. Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition. ## Performance Considerations and Risk Disclosure The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions. Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise. Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods. ## Technical Specifications The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions. Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework. Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision. ## Conclusion The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions. Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Strategia Pine Script®
di Mutanabby_AI
3
Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System Overview The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments. Primary Signal Generation Framework The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities. The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable. Advanced Filtering Mechanisms The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants. The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals. Cloud Filter Configuration System The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process. The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems. For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes. Specialized Assistant Functionality The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision. The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly. Dynamic Risk Management System The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions. Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management. Comprehensive Market Analysis Dashboard The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data. The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy. Enhanced Trading Assistants The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system. The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators. Advanced Alert System The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements. Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring. Technical Foundation Architecture The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration. The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments. Market State Classification The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches. The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns. Implementation Strategy Considerations Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases. The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements. Multi-Timeframe Integration The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes. Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution. Advanced Visualization Features The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously. The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation. Performance Optimization Framework The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards. The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration. Conclusion The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles. Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences. The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation.
Indicatore Pine Script®
di Mutanabby_AI
11
BTC/USD Confluence Breakout Pro – IST EditionBTC/USD Confluence Breakout Pro – IST Edition is a multi-factor breakout trading system designed for intraday and swing traders. It combines trend, momentum, price action, volume, and candlestick analysis with time-based volatility windows to deliver high-probability Buy/Sell signals. Key Features: Trend Filters: EMA 9/21 crossover + optional EMA 200 bias filter. Price Action Breakouts: Detects closes above/below the last N bars’ range. Candlestick Patterns: Bullish/Bearish engulfing, hammer, and shooting star. Momentum Indicators: RSI (14) with configurable thresholds, MACD (12/26/9). Volume Confirmation: Volume spike vs 20-period SMA. IST Breakout Windows: Highlights Early London, London–US Overlap, and US Open momentum periods (Hyderabad/IST time). Optionally restricts signals to these windows. Risk Management: ATR-based stop-loss + auto-plotted 1R, 2R, and 3R take-profit levels. Visual Aids: EMA plots, bar coloring, shaded volatility windows, and clear entry/exit labels. Alerts: Configurable alerts for both Buy and Sell signals. Best Use: Apply on 1m–15m charts for intraday trading or 1H–4H for swings. Works best during high-volatility IST windows (London–US overlap & US open). Ideal for BTC/USD but adaptable to other crypto or forex pairs.
Indicatore Pine Script®
di ranga_kesagani
BBMA OA - AI GPT-5This indicator is an AI-assisted implementation of the BBMA OA (Bollinger Bands + Moving Average) trading strategy, originally introduced by Malaysian trader Oma Ally. The code was generated and optimized using the GPT-5 AI model to ensure clean Pine Script v6 structure and compatibility. The system combines Bollinger Bands (20, 2) with EMA50, EMA200, and MA5/10 High-Low to identify the four main BBMA OA patterns: Extreme Market Hilang Volume (MHV) Candle Arah Kukuh (CSAK) Re-entry (RRE, REE, REM) Features: Multi Time Frame confirmation for higher accuracy Automatic signal detection with visual markers Trend ribbon and candle coloring Optimized Pine Script v6, free from errors/warnings ⚠ This is an adaptation of Oma Ally’s concept for educational purposes, not an official version. Past performance does not guarantee future results.
Indicatore Pine Script®
di aribanang
2