Tradewind EMAs + ConditionsTradewind EMAs + Conditions
Overview
The Tradewind EMAs + Conditions indicator is a powerful tool designed for traders who want to monitor key price levels and trend signals on a single chart. It combines a Trading Conditions monitor that identifies significant price breakouts based on prior day and premarket levels with an EMA Ribbons system that visualizes multiple Exponential Moving Averages (EMAs) for trend analysis.This indicator is tailored for day traders, particularly those using fast-paced setups to capitalize on short-term trends and breakouts, with customizable visual elements to suit individual preferences.
Features
1. Trading Conditions Monitor
Purpose: Identifies when the price breaks out of key levels on a 15-minute chart, considering the prior day's high/low (PDH/PDL) and the premarket high/low (PMH/PML), aligning with @team2trading's focus on key levels for trend identification.
Logic:
Monitors the most recent closed 15-minute bar to detect crosses above PDH/PMH (bullish) or below PDL/PML (bearish).
Ensures the price is outside the premarket band (above PMH or below PML) at the 15-minute close.
Optionally requires the current day's premarket session to be complete for stricter signal validation.
Display: Shows a customizable banner with the text "Trading Conditions Met" (green background) or "Trading Conditions Not Met" (gray background).
Alerts: Includes an alert condition that triggers when trading conditions are met, allowing notifications for breakouts.
2. EMA Ribbons
Purpose: Visualizes multiple EMAs to confirm trend direction and strength, directly supporting use of the primary 13, 48, and 200 EMAs for trend analysis and pullback entries.
Components:
Fast EMAs (EMA1 and EMA2): Default lengths of 8 and 13, with dynamic coloring (green for bullish when EMA1 > EMA2, red for bearish when EMA1 < EMA2).
Intermediate EMA (EMA3): Default length of 48, with a user-defined color.
Slow EMAs (EMA4 and EMA5): Default lengths of 200 and 220, with a user-defined color.
Cloud Fills: Displays editable cloud fills between EMA1/EMA2 and EMA4/EMA5 to highlight trend strength and crossovers.
Visualization: Each EMA is plotted as a line, with customizable colors and lengths, and clouds provide a clear visual of trend direction.
3. Customization Options
Premarket Session: Define the premarket session time (default: 04:00–09:30, exchange time) to calculate PMH/PML.
Premarket Strictness: Toggle to require the current day's premarket to be complete for signal validation.
Banner Position: Choose from five positions (Top Right, Bottom Right, Middle Right, Bottom Center, Middle Left) to place the trading conditions banner.
Banner Size: Select Small (1x1), Medium (2x1), or Large (3x2) for the banner's dimensions.
EMA Settings: Adjust the lengths and colors of all five EMAs and their respective cloud fills to match your trading style.
4. 2-Minute Trading Strategy Support
Purpose: Enhances the indicator for 2-minute trading strategy, which focuses on identifying trends, entering on pullbacks to EMAs, and using key levels for high-probability trades on a 2-minute chart.
How It Works:
Objective: The strategy aims to identify trending stocks and enter trades on pullbacks to the 13 or 48 EMA, using the 2-minute timeframe for entries and exits. The indicator's EMAs (default 8, 13, 48, 200, 220)
Trend Identification:
EMA Alignment: The indicator's EMA ribbons confirm trend direction. A bullish trend is signaled when the price is above the 200 EMA and the 13 EMA crosses above the 48 EMA (green cloud for EMA1/EMA2). A bearish trend occurs when the price is below the 200 EMA and the 13 EMA crosses below the 48 EMA (red cloud). Flat EMAs indicate choppy conditions, where no trades are taken.
Key Levels: The indicator plots PDH/PDL and PMH/PML, which uses to gauge trend strength. Breakouts or retests of these levels (shown by the "Trading Conditions Met" banner) confirm momentum for trade entries.
Entry Rules: On a 2-minute chart, enter trades on pullbacks to the 13 or 48 EMA when the "Trading Conditions Met" banner confirms a breakout above PDH/PMH (long) or below PDL/PML (short). Use candlestick patterns (e.g., bull/bear flags, top/bottom wicks) or level retests for additional confirmation.
Trade Management: Trail stops using the 13 EMA to lock in profits, scaling out when the price extends far from the 13 EMA to protect gains. The slow EMAs (200, 220) help identify potential reversal zones or longer-term trend context.
Risk Management: The indicator's breakout logic provides clear risk levels (e.g., a candle close below the entry EMA for longs or above for shorts), aligning with @team2trading's low-risk, high-reward approach.
Best Practices: Apply the indicator on a 2-minute chart for stocks like AMEX:SPY , NASDAQ:QQQ , or $IWM. Set alerts for "Trading Conditions Met" to catch breakouts in real-time. Adjust EMA lengths (e.g., set EMA1 to 13 and EMA2 to 48) to match the strategy exactly if preferred.
How to Use
Add to Chart: Apply the indicator to a 2-minute or 15-minute TradingView chart for optimal use with 2-minute strategy or breakout monitoring.
Configure Settings:
Adjust the premarket session, EMA lengths, colors, banner position, and size in the settings panel.
Enable the "Only consider today's premarket" option for stricter breakout signals.
Monitor Signals:
Watch the banner for "Trading Conditions Met" to identify breakout opportunities on the 2-minute chart.
Use the EMA ribbons and clouds to confirm trend direction and enter on pullbacks to the 13 or 48 EMA.
Set Alerts: Create alerts for the "Trading Conditions Met" condition to receive notifications for potential trade setups.
Settings
Trading Conditions:
Premarket Session: Set the time range for premarket data.
Only consider today's premarket: Enable for stricter signal logic.
Banner Settings:
Table Position: Select the banner's chart location.
Table Size: Choose the banner's size.
Fast EMAs: Set lengths and colors for EMA1, EMA2, and their cloud.
Intermediate EMA: Set length and color for EMA3.
Slow EMAs: Set lengths and colors for EMA4, EMA5, and their cloud.
Notes
The indicator is overlay-based, ensuring seamless integration with your price chart.
While the trading conditions logic uses 15-minute bar data, it can be monitored on a 2-minute chart for faster execution.
EMA Ribbons, with clouds highlighting crossover zones, are ideal for confirming trends and pullbacks in the 2-minute strategy.
Use the customizable banner to avoid chart clutter and position it for optimal visibility.
Credits
Developed by Tradewind Group. Combining breakout logic with EMA-based trend visualization, with direct inspiration from @team2trading's 2-minute trading strategy for identifying trends and low-risk entries.
Cari skrip untuk "breakout"
Daily/Weekly Wick (Shadow) Range📈 Detailed Guide to the Daily/Weekly Wick (Shadow) Range Indicator
This indicator is a powerful visualization tool designed to map the key price levels established during the previous trading period (either the previous day or the previous week). Instead of just showing a single line for the high and low, it highlights the entire range of the upper and lower wicks (shadows), representing the "battleground" where buyers and sellers were most active.
How It Works
The Wick (Shadow) Range indicator fetches the Open, High, Low, and Close data from the last completed daily or weekly candle and projects those levels onto your current chart. This creates two distinct colored zones.
Upper Wick (Green Zone): This area spans from the Previous High down to the top of the Previous Candle's Body. It visually represents the territory where sellers successfully pushed the price down from its peak. This entire zone can be considered a resistance area.
Lower Wick (Red Zone): This area spans from the bottom of the Previous Candle's Body down to the Previous Low. It shows where buyers stepped in to defend a price level and push it back up. This entire zone can be considered a support area.
How to Use It in Your Trading
This indicator isn't meant to give direct buy or sell signals on its own. Instead, it provides crucial context about market structure. Here are several ways to incorporate it into your strategy:
1. Identifying Key Support & Resistance
This is the indicator's primary function. The most significant levels are:
Key Resistance: The top edge of the green zone (the previous period's high).
Key Support: The bottom edge of the red zone (the previous period's low).
Look for the current price to react when it approaches these boundaries. These are high-probability areas for price to pause or reverse.
2. Watching for Price Rejection (Reversal Trading)
The colored zones are perfect for spotting rejection signals.
Bearish Rejection 📉: If the current price enters the green zone but fails to stay there, closing back below it (often forming a new wick), it's a strong sign that sellers are still in control at that level. This can be an excellent entry signal for a short position.
Bullish Rejection 📈: If the current price dips into the red zone and is quickly bought back up, it shows that buyers are actively defending that area. This can be a great entry signal for a long position.
3. Confirming Breakouts (Trend Trading)
The zones also help validate breakouts.
Bullish Breakout: If the price pushes decisively through the entire green zone and closes above the previous high, it signals that the previous resistance has been broken and the trend may continue upward.
Bearish Breakdown: If the price falls decisively through the entire red zone and closes below the previous low, it confirms that support has failed and the price may continue downward.
4. Setting Context with Timeframes
Weekly Setting: Use the "Weekly" option to identify major, significant support and resistance levels that can influence the market for the entire week. These are powerful levels for swing trading.
Daily Setting: Use the "Daily" option for intraday trading. The previous day's high and low are critical pivot points that many day traders watch.
⚙️ Indicator Settings
The indicator has one simple setting, which you can access by clicking the gear icon ⚙️ next to its name on the chart.
Select Wick Timeframe: This dropdown menu allows you to switch the indicator's calculation between the Daily and Weekly timeframe instantly.
Intraday Buy/Sell/Average Zones by Chaitu50cIntraday Buy/Sell/Average Zones by chaitu50c
Timeframe:
Tested on the 5-minute chart.
Recommended timeframe: 5-minute
What it does
This indicator marks intraday Buy (green) and Sell (red) zones made by strong close-confirmed breakouts. These zones act as support/resistance. If price later closes through a zone, the zone changes color from that bar forward (support ↔ resistance). It can flip more than once.
How zones form
Single breakout: an opposite-type candle closes beyond the previous candle’s high/low.
Double breakout: a base candle, then two opposite-type candles, and the second one closes beyond the base high/low.
Zone size
Buy zone: from the combo lowest low up to the nearest open/close of the combo.
Sell zone: from the combo highest high down to the nearest open/close of the combo.
Color shift (optional)
If price closes through a zone, it flips color at that bar and behaves as the other side (support ↔ resistance). Flips can happen again later.
Overlap control
When a new zone overlaps an existing same-color zone in the same session, choose:
Merge (combine), or
Suppress (ignore the new one).
Flipped zones use their current color for this.
Right edge & session
All zones extend to the right (your offset). Detection is limited to your chosen session, and you can show only the last N sessions.
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How to trade (simple)
A) Initial breakout trade
When a new zone forms, that breakout itself can be a trade idea in the breakout direction, The stoploss will be the zone.
B) Zone breakout trade (flip)
If price later closes out of a zone and it changes color, that breakout is another trade opportunity in the new direction.
C) Retrace & average trade
When price retests a zone, wait for a confirmation candle in the zone’s favor
— bullish close for a green zone, bearish close for a red zone — then average entries inside/near the zone.
Place stops just beyond the opposite edge of the zone.
If the zone flips color, stop averaging; bias changed.
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Key settings
Breakout type: Single and/or Double
Confirm on Close: strict mode (no intrabar preview) or allow intrabar preview that auto-removes if fail
Color Shift on Breaks: on/off
Same-Type Overlap: Merge/Suppress
Session, Sessions to Display, Right Offset, Colors, Max Zones
Reminder: Best results on the 5-minute timeframe (tested and recommended).
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
Third Eye ORB Pro (0915-0930 IST, no-plot)Third Eye ORB Pro (Opening Range Breakout + Range Mode)
This indicator is designed specifically for Indian stocks and indices (NIFTY, BANKNIFTY, FINNIFTY, MIDCAP, etc.) to track the Opening Range (09:15–09:30 IST) and generate actionable intraday trade signals. It combines two key modes — Range Mode (mean reversion inside the opening range) and Breakout Mode (momentum trading beyond the range).
1. Opening Range Framework (09:15–09:30 IST)
The indicator automatically plots the Opening Range High (ORH) and Opening Range Low (ORL) after the first 15 minutes of market open.
The area between ORH and ORL acts as the intraday battlefield where most price action occurs (historically ~70–80% of the day is spent inside this zone).
A shaded box and horizontal lines mark this range, serving as a visual reference for support and resistance throughout the day.
2. Range Mode (Mean Reversion Inside OR)
When price trades inside the Opening Range, the indicator looks for edge rejections to capture range-bound trades.
Range BUY (RB): Triggered near ORL when a bullish rejection candle forms (strong body + long lower wick).
Range SELL (RS): Triggered near ORH when a bearish rejection candle forms (strong body + long upper wick).
Optional filters (toggleable in settings):
RSI Filter: Only allow range buys if RSI is oversold (≤45) and range sells if RSI is overbought (≥55).
VWAP Filter: Only allow range trades if price is not too far from VWAP (distance ≤ X% of OR size).
Labels show suggested Stop Loss (just outside the OR band) and Target (midline/VWAP).
Cooldown logic prevents consecutive whipsaw signals.
3. Breakout Mode (Directional Moves Beyond OR)
When price closes strongly outside the ORH/ORL with momentum, the indicator confirms a breakout/breakdown trade.
Buffers are applied to avoid false breakouts:
ATR Buffer: Price must extend at least ATR × multiplier beyond the range edge.
% Buffer: Price must extend at least a percentage of OR size (default 10%).
Confirmation Filters:
Candle must have a strong body (≥60% of total bar range).
Optional “two closes” rule: price must close outside the range for 2 consecutive candles.
BUY BO: Trigger when price closes above ORH + buffer with momentum.
SELL BD: Trigger when price closes below ORL – buffer with momentum.
Labels and alerts are plotted for quick action.
4. Practical Usage
Works best on 5-minute charts for intraday trading.
Designed to help traders capture both:
Range-bound moves during the day (mean reversion plays).
Strong directional breakouts when institutions push price beyond the opening range.
Particularly effective on expiry days, trending sessions, and major news days when breakouts are more likely.
On sideways days, Range Mode provides reliable scalp opportunities at the OR edges.
5. Features
Auto-plots Opening Range High, Low, Midline.
Box + line visuals (no repainting).
Buy/Sell labels for both Range Mode and Breakout Mode.
Customizable buffers (ATR, % of range) to suit volatility.
Alerts for all signals (breakouts and range plays).
Built with risk management in mind (suggested SL and TP shown on chart).
Buy/Sell Volume BalanceDESCRIPTION
Buy/Sell Volume Balance is a simple yet powerful indicator designed to measure and visualize the balance between buying and selling volume over a customizable number of recent candles. It helps traders quickly assess market pressure during consolidation phases or ranges, in order to anticipate the most likely breakout direction.
How it works
The indicator analyzes the last N candles (default = 100, user-editable).
Each candle’s total volume is classified as:
Bullish volume (Buy volume): if the candle closes above or equal to its open.
Bearish volume (Sell volume): if the candle closes below its open.
The volumes are summed separately to calculate:
Total Buy Volume
Total Sell Volume
The percentage of each side relative to the total is also displayed.
All results are shown in a fixed table at the top of the chart for quick interpretation.
Purpose
This tool is specifically designed to help traders evaluate the internal battle between buyers and sellers during a range or sideways market. By understanding which side is accumulating more volume within the range, traders can anticipate which direction is more likely when the price breaks out.
If Buy volume dominates → potential bullish breakout.
If Sell volume dominates → potential bearish breakout.
If both sides are nearly balanced, it signals indecision and a higher chance of false breakouts.
Imbalance Threshold
In practice, traders often consider a clear imbalance when one side reaches at least 55–60% of the total volume.
Above this threshold, the dominant side is more likely to dictate the breakout direction.
Below this threshold, the market is usually in indecision and further confirmation is needed before acting.
How to use it
Add the indicator to your chart and choose the lookback period (number of candles).
Focus on ranges or consolidation zones where price is moving sideways.
Observe the balance of Buy vs Sell volume in the top-right box:
A clear imbalance (>55–60%) suggests the stronger side is more likely to push the breakout.
A balanced ratio (<55–60%) indicates indecision and possible false breakouts.
Use it in combination with support/resistance zones, breakout patterns, or volume spikes for best results.
✅ In summary: This indicator does not give direct buy/sell signals, but it provides valuable context about market pressure, helping you to align your trades with the most probable breakout direction.
Qabas HPC ProQabas HPC Pro - Ultimate (Turbo)
Advanced Market Compression & Breakout Detection
The Qabas HPC Pro - Ultimate (Turbo) indicator is a powerful market analysis tool designed to identify High-Precision Compression (HPC) zones, true breakout candles, and volume-based warning signals. Built with performance and adaptability in mind, this indicator helps traders detect key price levels where momentum builds up before explosive moves.
🔍 Key Features:
• HPC Zone Detection: Automatically identifies compressed price ranges with low volatility and balanced volume—ideal zones for potential breakouts.
• Smart Breakout Alerts: Highlights real breakout candles with strong price action and high volume, filtering out noise and false signals.
• Warning Candles: Semi-strong candles are marked as early signs of volatility shifts.
• Adaptive Settings: Automatically adjusts sensitivity based on chart timeframe for optimal signal quality.
• Dynamic Coloring: Candles are color-coded for easy visual recognition:
• 🟧 True Explosion – High volume + breakout movement (Orange)
• 🟣 Warning Candle – Medium strength signals (Purple)
• 🔵 HPC Candles – Optional coloring for standard compression zones (Blue)
• 🔴 Breakouts – Marked level lines turn red upon confirmation
• Smart Line Management: Efficient line handling ensures clean visuals and fast performance, even on lower timeframes.
• Customizable: Fine-tune levels, colors, and intensity to fit your trading strategy.
✅ Best For:
• Scalpers and day traders on lower timeframes
• Swing traders identifying breakout zones
• Volume and volatility-based trading strategies
Developed with a smart adaptive algorithm, Qabas HPC Pro offers an edge for traders looking to time entries around periods of market compression and breakout.
JXMJXRS - Retest Entry ZonesThis indicator identifies directional breakout retest zones based on structural price levels. It is built for traders who look for secondary entry opportunities after breakouts—often referred to as "retest entries." It is particularly suited to crypto markets and other volatile assets where breakout-retest behavior is frequent and tradable.
The indicator monitors recent price structure and identifies breakouts above or below key levels using a configurable lookback window. When a breakout occurs, it automatically plots a colored zone in the direction of the move:
Green zones are plotted after bullish breakouts (potential long retest areas).
Red zones are plotted after bearish breakouts (potential short retest areas).
Each zone persists on the chart for a defined number of bars before being removed to maintain visual clarity.
Settings
Range Lookback:
Defines how many bars are used to determine recent highs and lows. This controls the structural levels the script uses to detect a breakout. Higher values filter out minor breakouts and only react to more significant price moves.
Zone Height (%):
Sets the vertical size of the retest zone as a percentage of the breakout candle's close. A larger value produces wider zones and increases the chance of price re-entering the zone.
Zone Duration (bars):
Determines how long each zone remains visible after the breakout. After the specified number of bars, the zone is automatically removed. This helps prevent clutter and keeps focus on recent, actionable retest opportunities.
The indicator works across all timeframes and does not repaint. It is best used in trending environments or during volatile market phases where breakouts are likely to lead to continuation.
Pristine Market Analysis DashboardThe Pristine Market Analysis indicator enables users to perform comprehensive top-down analysis of global risk assets in a fraction of the time! 🏆
Top-down analysis is important because the overall market environment has a significant impact on the success of individual trading setups.
💠 Market Analysis Insights
▪ Identify if money is flowing into equities, or equity alternatives like bonds,gold,and bitcoin
▪ Perform relative strength analysis of US vs International equities
▪ Identify rotation into risk-on or risk-off assets to determine overall market health
▪ Detect leading sectors to enable targeted stock screening, or to trade the ETFs themselves
💠 Market Analysis Metrics to Improve Your Situational Awareness!
▪ %Δ - 1-day percent change
▪ ATR Δ - 1-day percent change/ ATR %
▪ DCR - Daily closing range
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low
▪ MAx - Measures how extended price is from a key moving average of your choosing in ATR% multiple terms
▪ ST ↑↓ (Short- Term Stage) - Measures the short-term trend using key moving averages of your choosing
▪ LT ↑↓ (Long-Term Stage) - Measures the long-term trend using key moving averages of your choosing
The indicator automatically sorts from greatest to least based on the %Δ column 👇
What is ATR?
The average true range (ATR) is a technical analysis indicator introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems that measures security volatility by decomposing the entire range of an asset price for a time period.
Why do we use it?
Because converting price moves into ATR terms better contextualizes them relative to the asset's historical volatility!
Example: If the ATR is $2.50, it means the average price range each day is roughly $2.50.
We use an ATR length of 20 days in our calculation, and convert the 20D ATR into a 20D ATR %. The formula for ATR % is as follows:
ATR % = (ATR/Current Price) * 100
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average.The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
Why does 52WR matter?
Historical analysis conducted by market legends like William O’Neill and Mark Minervini indicates that stocks trading at or near 52wk highs tend to outperform over time, and vice versa for stocks trading close to 52wk lows. Avoiding stocks trading with a low 52WR metric can help traders avoid buying stocks in downtrends. Likewise, focusing on stocks trading with a high 52WR provides a technical edge.
💠 Stage Analysis Guide
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
💠 Historical Analysis
Users can leverage the Replay feature in TradingView to perform historical analysis and see how the overall configuration of global risk assets looked at key turning points in the market!
To perform historical analysis:
1) Show the chart if previously hidden (see Tips and Tricks).
2) Click the Replay button on the toolbar at the top of the chart.
3) Use the slider on the chart to select the bar to begin the analysis.
💠 Comprehensive Tooltips
Hover over header labels to get detailed information about the data and relevant calculations.
For stage analysis (Short Term and Long Term), the tooltips provide a complete key of all the relevant stages.
💠 Settings and Preferences
▪ Customize this script by setting preferred colors and thresholds.
▪ There are two tables that can be customized, one on each side of the chart. For each table you can configure the location and show/hide each table. You can also specify colors for header and row data, including your preferred text size.
▪ You can customize the moving averages that are used in stage analysis. Specify your preferred fast and slow moving averages for both short-term and long-term analysis.
▪ For the ATR extension, the default moving average is 50D SMA. You can choose the length and type (SMA or EMA) to align with your trading preferences.
💠 Tips and Tricks
▪ Hide/Show Chart:
To provide a clean backdrop for the tables, it can be helpful to hide the chart. Hover your mouse over the symbol information in the upper right. Select the "..." option and choose "Hide" option. Choose the option "Show" to see the chart details if hidden.
▪ Futures Outside Regular Trading Hours (RTH):
In order for the data in the “%Δ” column of the the “Equity Alternatives” table to populate correctly when outside of regular trading hours, you must have your chart displaying a futures contract. Examples: ES, NQ, RTY, GC.
Mariam Ichimoku DashboardPurpose
The Mariam Ichimoku Dashboard is designed to simplify the Ichimoku trading system for both beginners and experienced traders. It provides a complete view of trend direction, strength, momentum, and key signals all in one compact dashboard on your chart. This tool helps traders make faster and more confident decisions without having to interpret every Ichimoku element manually.
How It Works
1. Trend Strength Score
Calculates a score from -5 to +5 based on Ichimoku components.
A high positive score means strong bullish momentum.
A low negative score shows strong bearish conditions.
A near-zero score indicates a sideways or unclear market.
2. Future Cloud Bias
Looks 26 candles ahead to determine if the future cloud is bullish or bearish.
This helps identify the longer-term directional bias of the market.
3. Flat Kijun / Flat Senkou B
Detects flat zones in the Kijun or Senkou B lines.
These flat areas act as strong support or resistance and can attract price.
4. TK Cross
Identifies Tenkan-Kijun crosses:
Bullish Cross means Tenkan crosses above Kijun
Bearish Cross means Tenkan crosses below Kijun
5. Last TK Cross Info
Shows whether the last TK cross was bullish or bearish and how many candles ago it happened.
Helps track trend development and timing.
6. Chikou Span Position
Checks if the Chikou Span is above, below, or inside past price.
Above means bullish momentum
Below means bearish momentum
Inside means mixed or indecisive
7. Near-Term Forecast (Breakout)
Warns when price is near the edge of the cloud, preparing for a potential breakout.
Useful for anticipating price moves.
8. Price Breakout
Shows if price has recently broken above or below the cloud.
This can confirm the start of a new trend.
9. Future Kumo Twist
Detects upcoming twists in the cloud, which often signal potential trend reversals.
10. Ichimoku Confluence
Measures how many key Ichimoku signals are in agreement.
The more signals align, the stronger the trend confirmation.
11. Price in or Near the Cloud
Displays if the price is inside the cloud, which often indicates low clarity or a choppy market.
12. Cloud Thickness
Shows whether the cloud is thin or thick.
Thick clouds provide stronger support or resistance.
Thin clouds may allow easier breakouts.
13. Recommendation
Gives a simple trading suggestion based on all major signals.
Strong Buy, Strong Sell, or Hold.
Helps simplify decision-making at a glance.
Features
All major Ichimoku signals summarized in one panel
Real-time trend strength scoring
Detects flat zones, crosses, cloud twists, and breakouts
Visual alerts for trend alignment and signal confluence
Compact, clean design
Built with simplicity in mind for beginner traders
Tips
Best used on 15-minute to 1-hour charts for short-term trading
Avoid entering trades when price is inside the cloud because the market is often indecisive
Wait for alignment between trend score, TK cross, cloud bias, and confluence
Use the dashboard to support your trading strategy, not replace it
Enable alerts for major confluence or upcoming Kumo twists
Volume Candle Color (Continuous)Volume-Based Candle Color Indicator (Continuous Gradient)
Overview
Transform your charts with this advanced volume visualization tool that colors candles based on relative volume intensity using a smooth, continuous gradient . Unlike traditional step-based volume indicators, this script provides nuanced color transitions that make volume anomalies instantly visible.
Key Features
Continuous Color Gradient
Smooth transitions - No more discrete color steps
High volume = Bright, opaque colors that demand attention
Low volume = Faded, transparent colors that blend into background
Real-time adaptation to market conditions
Full Customization Control
Volume Range Settings: Define min/max volume ratios for optimal sensitivity
Transparency Control: Adjust brightness levels from 0-95%
Custom Colors: Choose your preferred bullish/bearish base colors
Moving Average Period: Customize the volume comparison timeframe (default: 30)
Enhanced Visualization
Optional Info Panel: Real-time display of volume metrics
Volume Ratio Plot: Additional pane showing volume ratio trends
Clean Interface: Non-intrusive overlay that enhances price action
How It Works
The indicator calculates relative volume by comparing current volume to a Simple Moving Average (SMA) of volume over your chosen period. This ratio is then mapped to a continuous color scale:
Volume Ratio > 2.0: Maximum intensity (brightest colors)
Volume Ratio 1.0: Average volume (medium intensity)
Volume Ratio < 0.5: Below average (most transparent)
Bullish Candles (Close > Open): Green gradient
Bearish Candles (Close < Open): Red gradient
Trading Applications
Volume Spread Analysis (VSA)
Perfect companion for VSA traders who need to quickly identify:
Climactic volume at key support/resistance levels
No demand situations with low volume
Professional money accumulation/distribution patterns
Breakout Confirmation
High volume breakouts: Immediately visible with bright colors
False breakouts: Revealed by low volume (faded colors)
Volume divergences: Spotted instantly through color intensity changes
Market Structure Analysis
Support/Resistance tests: Volume validation through color brightness
Trend strength: Continuous color feedback on volume participation
Market phases: Easy identification of accumulation vs distribution
Why Choose This Indicator?
Advantages Over Traditional Volume Indicators:
Instant Visual Feedback: No need to look at separate volume bars
Continuous Scale: More precise than discrete level systems
Customizable Sensitivity: Adapt to any market or timeframe
Clean Charts: Maintains focus on price action while adding volume context
Universal Application: Works on all instruments and timeframes
Settings Guide
Essential Settings:
Volume MA Period (30): Longer periods = smoother baseline, shorter = more sensitive
Min Volume Ratio (0.2): Lower values = more sensitivity to low volume
Max Volume Ratio (3.0): Higher values = accommodate extreme volume spikes
Transparency Range (10-85%): Adjust visual contrast to your preference
Pro Tips:
Day Trading: Use 10-20 period MA for quick volume changes
Swing Trading: Use 30-50 period MA for broader volume context
Lower transparency range (0-70%) for subtle effects
Higher transparency range (20-90%) for dramatic contrasts
Best Practices
Combine with Price Action: Use volume colors to confirm price patterns
Multiple Timeframes: Apply on different timeframes for comprehensive analysis
Market Context: Adjust sensitivity based on market volatility periods
Backtesting: Test settings on historical data before live trading
Perfect For:
Volume Spread Analysis practitioners
Breakout traders seeking confirmation
Market structure analysts
Anyone wanting cleaner, more intuitive volume visualization
Technical Specifications
Pine Script v6 - Latest version compatibility
Overlay Indicator - Works directly on price charts
Minimal Performance Impact - Optimized calculations
All Market Types - Stocks, Forex, Crypto, Futures
Transform your volume analysis today! Experience the difference continuous color gradients make in identifying high-probability trading opportunities.
Like and follow for more innovative trading tools!
Key Levels (4H and Daily)Key Levels (4H and Daily)
This indicator highlights important key price levels derived from the 4-hour (4H) and daily (D) timeframes, providing traders with critical support and resistance areas. The levels are calculated using the highest highs and lowest lows over a customizable lookback period, offering a dynamic view of significant price points that could influence market movement.
Key Features:
Key Levels for 4H and Daily Timeframes:
The indicator calculates and displays the highest high and lowest low over a user-defined period for both the 4-hour and daily timeframes. This helps traders identify key support and resistance levels that could dictate the market's behavior.
Customizable Lookback Period:
Traders can adjust the lookback period (in days) for both the 4-hour and daily timeframes to reflect different market conditions. This flexibility ensures the levels are tailored to your preferred trading style and market conditions.
Horizontal Lines:
The indicator plots horizontal lines at the high and low levels for both timeframes. These levels serve as dynamic support and resistance areas and help traders monitor price action near these critical points.
Real-Time Updates:
The lines adjust automatically with each new bar, providing up-to-date key levels based on the most recent price action and trading session.
Alert Conditions:
Alerts are built-in to notify traders when the price breaks above or below these key levels. Traders can set up notifications to stay informed when significant market moves occur.
How to Use:
Support and Resistance: Use the levels as potential support and resistance areas where price could reverse. Price often reacts at these levels, providing potential trading opportunities.
Breakouts: Pay attention to breakouts above the high or below the low of these levels. A break above the 4H or daily high could indicate bullish momentum, while a break below could signal bearish trends.
Trend Confirmation: Combine these levels with other technical analysis tools to confirm the overall market trend and enhance your trading strategy.
Perfect for:
Day Traders: Use the 4-hour levels for intraday trading setups, such as potential reversals or breakouts.
Swing Traders: The daily levels provide longer-term insights, helping to identify key zones where price might pause, reverse, or break out.
Market Context: Ideal for those who want to contextualize their trades within broader timeframes, helping to understand the market’s structure at multiple time scales.
This description conveys the utility and functionality of the indicator, focusing on how it helps traders identify and monitor key levels that influence market action.
JOYZONE.04JOYZONE signal for TradingView
The JOYZONE Breakout Indicator is a sophisticated tool designed for traders seeking to identify potential trend reversals and breakouts in financial markets. Built for TradingView’s Pine Script v6, this indicator leverages pivot points to detect significant price levels, offering a clear visual representation of bullish and bearish market shifts. By focusing on key price action patterns, it aims to provide traders with actionable insights for both trend-following and reversal strategies.
Core Functionality
The JOYZONE Breakout Indicator identifies critical pivot highs and lows using a fixed 5-period lookback, which simplifies the detection of potential reversal zones without requiring user adjustments. These pivot points are used to establish "JOYZONE" levels—price thresholds that, when broken with confirmation, signal a change in market trend. The indicator employs a robust confirmation mechanism within fixed bar window, reducing false signals and enhancing reliability.
Upon detecting a breakout, the indicator plots horizontal lines at the JOYZONE levels, extending until a new signal emerges or the trend shifts. Labels accompany these lines, marking bullish (+JOYZONE) and bearish (-JOYZONE) breakouts with customizable colors (default: green for bullish, red for bearish) and sizes (tiny to large). This visual clarity helps traders quickly assess market direction and key price levels.
Key Features
Simplified Inputs: The indicator minimizes user configuration by hardcoding critical parameters like the fixed-period directional detection system. Traders can toggle JOYZONE level visibility, adjust label sizes, and customize colors, ensuring flexibility without overwhelming complexity.
Efficient Signal Management: With a default cap of 86 signals, the indicator prevents chart clutter by automatically removing older lines and labels when the limit is exceeded. This feature is particularly useful for long-term chart analysis.
Dynamic Alerts: The script includes alert triggers for bullish and bearish JOYZONE breakouts, delivering real-time notifications with price details. This enables traders to act swiftly on confirmed signals, whether trading manually or integrating with automated systems.
ATR-Based Label Positioning: Labels are offset using the 50-period Average True Range (ATR), ensuring they remain visible and uncluttered regardless of market volatility.
How It Works
The indicator tracks pivot highs and lows to establish JOYZONE levels during uptrends (bearish levels) and downtrends (bullish levels). When the price crosses a JOYZONE level and satisfies the confirmation criteria, the trend updates, and a breakout signal is plotted. For example, a bullish JOYZONE breakout occurs when the price crosses above a pivot high during a downtrend, confirmed by a close above the threshold. The script then draws a green line and a “+JOYZONE” label, alerting the trader to a potential uptrend.
Use Cases
This indicator is versatile, catering to various trading styles:
Swing Traders: Use JOYZONE breakouts to enter trades at the onset of new trends, with clear entry and stop-loss levels based on plotted lines.
Day Traders: Leverage real-time alerts to capitalize on intraday reversals in volatile markets.
Position Traders: Monitor higher timeframes to identify long-term trend shifts with high-probability setups.
Customization and Performance
Traders can adjust the visibility of JOYZONE levels, label sizes, and colors to suit their chart preferences. The hardcoded 5-period lookback and 0.015% confirmation ensure consistency across assets, but users may need to test performance on specific markets (e.g., forex, stocks, crypto) to align with their strategies. The indicator’s reliance on ATR for label placement adapts to varying volatility, making it effective across different instruments.
Limitations and Considerations
While the JOYZONE Breakout Indicator excels in trending markets, it may produce delayed signals in choppy or sideways conditions due to its confirmation mechanism. Traders should combine it with other tools, such as moving averages or volume indicators, to filter signals. Additionally, the fixed period may not suit all timeframes, so testing on historical data is recommended.
Conclusion
The JOYZONE Breakout Indicator offers a streamlined, visually intuitive approach to detecting trend reversals and breakouts. Its automated signal management, dynamic alerts, and customizable display make it a valuable addition to any trader’s toolkit. By focusing on confirmed price action, it empowers traders to make informed decisions with confidence. Whether you’re a novice or seasoned trader, this indicator provides a reliable framework for navigating dynamic markets.
Disclaimer: This code does not guarantee of profit/return, please analyze with other factors, it is shared only for knowledge and educational purpose.
Dynamic Volume Profile PoC SwiftedgeOverview
The Dynamic Volume Profile PoC is a powerful and visually intuitive indicator designed to help traders identify key support and resistance levels using a unique combination of pivot points, volume analysis, and dynamic Point of Control (PoC) levels. This script overlays directly on your chart, providing clear visual cues for potential breakout and rejection zones, making it easier to spot high-probability trading opportunities.
What It Does
This indicator combines three core components to deliver actionable insights:
Pivot Points: Identifies significant swing highs and lows to establish potential support and resistance levels.
Volume Oscillator: Measures volume momentum to confirm the strength of price movements, ensuring that breakouts or rejections are backed by significant volume.
Dynamic Point of Control (PoC): Calculates the midpoint between consecutive pivot points to create dynamic PoC levels, which act as key areas where price is likely to either break through (breakout) or reverse (rejection).
These components work together to highlight critical price levels where the market is likely to react, giving traders a clear framework for decision-making.
How It Works
Pivot Detection: The script uses pivot highs and lows (based on user-defined Left Bars and Right Bars) to identify significant price levels. These pivots form the foundation for calculating PoC levels.
PoC Calculation: Each time a new pivot is detected, the script calculates the midpoint between the current pivot and the previous pivot, creating a dynamic PoC level. These levels are plotted as horizontal lines on the chart, with a maximum of Max PoC Lines to Show (default: 2) visible at any time.
Volume Confirmation: A volume oscillator (short EMA of volume minus long EMA of volume) is used to filter breakouts and rejections. Breakouts or rejections are only signaled if the volume oscillator exceeds the Volume Threshold (default: 20), ensuring that price movements are supported by strong volume.
Visual Cues:
PoC levels are drawn as cyan lines with optional semi-transparent zones (controlled by Show PoC Zones). These zones are colored green for potential breakouts (price above PoC) and red for potential rejections (price below PoC).
Labels above and below each PoC level indicate trading opportunities: "Long if breakout"/"Long if rejected" (green) and "Short if breakout"/"Short if rejected" (red), depending on the price's direction relative to the PoC.
Break signals ("B") are plotted above or below bars when price crosses a pivot level with sufficient volume, colored red for downward breaks and green for upward breaks.
How to Use
Add the Indicator: Add the "Dynamic Volume Profile PoC " to your chart in TradingView.
Adjust Settings:
Left Bars and Right Bars (default: 15): Control the sensitivity of pivot detection. Lower values make the script more sensitive to smaller price swings.
Volume Threshold (default: 20): Set the minimum volume oscillator value required to confirm breakouts or rejections. Increase this for stricter confirmation.
Max PoC Lines to Show (default: 2): Define how many PoC levels are displayed at once.
Show PoC Zones (default: true): Toggle semi-transparent zones around PoC levels for better visualization.
Label Spacing Factor (default: 0.5): Adjust the vertical spacing between labels and the PoC box. Increase this value (e.g., to 1.0 or 2.0) for more spacing, or decrease it (e.g., to 0.3) for less.
Interpret the Signals:
Look for PoC levels (cyan lines) as key areas of interest.
Use the labels to identify potential trades: "Long if breakout" indicates a buy opportunity if price breaks above the PoC, while "Short if rejected" suggests a sell if price fails to break through.
Watch for "B" signals to confirm breakouts or rejections with volume support.
Combine with Your Strategy: Use the PoC levels and break signals as part of your broader trading strategy, such as trend-following or mean-reversion setups.
Why This Script is Unique
The Dynamic Volume Profile PoC stands out by combining pivot points, volume analysis, and dynamic PoC levels into a single, cohesive tool. Unlike traditional volume profile indicators that require a fixed range, this script dynamically updates PoC levels based on recent price action, making it more responsive to current market conditions. The addition of volume confirmation ensures that signals are backed by market participation, reducing false breakouts. The visually appealing design, with customizable spacing and semi-transparent zones, makes it easy to interpret key levels at a glance, even for traders unfamiliar with Pine Script.
Notes
This script works best on timeframes where pivot points are meaningful (e.g., 1H, 4H, or daily charts).
Adjust the Label Spacing Factor to ensure labels are well-spaced for your chart's zoom level and instrument.
For instruments with high volatility, you may need to increase the Volume Threshold to filter out noise.
Open Range Candle [TradeWithRon]This Open Range Break indicator is a tool designed to help traders identify and visualize key price levels using the Opening Range Breakout (ORB) strategy. This indicator dynamically plots critical levels such as the high, low, and middle of a predefined range, along with Fibonacci retracement levels for further analysis. It also features several customization options to fit various trading styles.
Key Features:
Session Setup: Allows the user to set the time offset in GMT - or + to adjust the ORB session to their local time zone.
The default ORB session is set at 9:45 AM but can be adjusted based on user preferences.
Warning: Only supports 5-minute and 15-minute timeframes.
Visual Customization:
Line Styles: Users can choose from Solid, Dotted, or Dashed lines to represent key price levels.
Color Adjustments: Customizable colors for the high, middle, and low levels of the range, as well as Fibonacci levels and vertical lines.
Labeling Options: The labels can be customized in terms of size and color, helping to keep the chart clean and clear.
Fibonacci Retracement Levels: Fibonacci retracement levels are automatically drawn between the high and low of the range. Users can toggle these on or off and customize the offset to suit different trading instruments.
Time-Based Visuals: A vertical line is drawn at the start of the ORB session, providing a clear visual marker of where the breakout starts. This is useful for pinpointing key trade setups.
The indicator supports both 5-minute and 15-minute timeframes.
EMA Integration: The user can enable an Exponential Moving Average (EMA) on any chosen timeframe with adjustable parameters such as the length and color, providing additional trend context.
Dynamic Labeling: The indicator labels the high, middle, and low points of the ORB with custom text. These labels are updated in real-time as new data becomes available.
Limit on Lines and Labels: The indicator allows for a limit on the number of lines and labels drawn to maintain a clean chart, preventing unnecessary clutter as more ORB levels are plotted.
Daily Bias Information: The indicator assesses the daily trend bias (bullish or bearish) based on the relationship between the open and close prices for the last three daily candles, providing context for the current trading session.
Countdown Timer: The remaining time until the end of the current session is displayed in a countdown format, which helps traders to time their entries and exits more precisely.
How To Use:,
- Set the Timeframe to 15 minutes.
- Adjust the Time Zone Offset if needed, based on your local time zone.
- Enable the Show ORB feature for the first 15-minute candle to be drawn as the opening range. - The indicator will automatically mark the high, middle, and low points of the range.
Identify Breakout Points:
Bullish Breakout: If the price breaks above the high of the 15-minute opening range, this indicates a potential bullish breakout. The indicator will plot a vertical line marking the breakout point for further confirmation.
Bearish Breakout: If the price breaks below the low of the 15-minute opening range, this signals a potential bearish breakout. Again, the indicator will plot the breakout point with a vertical line for easy identification.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future
15 Minute TouchlinesThe 15 Minute Touchlines indicator is designed to identify potential breakout levels on a 15-minute timeframe, providing visual and alert-based signals for traders. This indicator overlays on the price chart and helps traders spot key levels where price may react, offering both buy and sell signals.
Key Features:
Breakout Levels:
The indicator calculates breakout levels based on recent price action, identifying potential support and resistance zones.
Up Deviation and Down Deviation parameters allow for customization of these levels.
Trend Filter:
An optional trend filter using a Simple Moving Average (SMA) can be enabled to filter out signals that do not align with the overall trend.
The trend filter helps in reducing false signals by ensuring that breakouts occur in the direction of the prevailing trend.
Visual Signals:
Lines: The indicator plots horizontal lines at identified breakout levels, which can be extended to the right.
Arrows: Optional arrows can be displayed to indicate buy or sell signals, enhancing visual clarity.
Colors: Customizable colors for buy and sell lines and arrows.
Touch Counts:
The indicator tracks the number of times price touches the plotted lines.
Users can set the number of touches required to remove a line or trigger an alert, providing flexibility in managing active levels.
Alerts:
Alerts can be configured to notify traders when price touches a line a specified number of times, aiding in timely decision-making.
Low Pass Bands:
The indicator incorporates low pass bands to smooth out price fluctuations, helping to identify more reliable breakout levels.
Customizable parameters for the low pass bands allow traders to fine-tune the indicator's sensitivity.
Input Parameters:
History Lines to Show: Number of historical lines to display.
Show Lines: Toggle to display or hide the breakout lines.
Touches to Remove Line: Number of touches required to remove a line.
Touch Number for Alert: Number of touches required to trigger an alert.
Buy/Sell Line Color: Custom colors for buy and sell lines.
Up/Down Deviation: Deviation factors for calculating breakout levels.
Extend Lines to Right: Option to extend lines to the right edge of the chart.
Line Thickness: Thickness of the plotted lines.
Use Trend SMA Filter: Toggle to enable or disable the trend filter.
Trend SMA Period: Period for the trend SMA filter.
Usage:
Identify Breakouts: Use the plotted lines and arrows to identify potential breakout levels and direction.
Trend Confirmation: Enable the trend filter to ensure that breakouts align with the overall trend.
Alert Management: Set up alerts to be notified of price interactions with key levels, aiding in active trading strategies.
The 15 Minute Touchlines indicator is a versatile tool for traders looking to capitalize on short-term price movements, offering a blend of visual signals and customizable alerts to enhance trading decisions.
Support & Resistance + EMA + Swing SL (3 Min)### **📌 Brief Description of the Script**
This **Pine Script indicator** for TradingView displays **Support & Resistance levels, EMAs (21 & 26), and Swing High/Low-based Stop-Loss (SL) points** on a **3-minute timeframe**.
---
### **🔹 Key Features & Functionality**
1️⃣ **🟥 Support & Resistance Calculation:**
- Finds the **highest & lowest price over the last 50 candles**
- Plots **Resistance (Red) & Support (Green) levels**
2️⃣ **📈 EMA (Exponential Moving Averages):**
- **21 EMA (Blue)** and **26 EMA (Orange)** for trend direction
- Helps in identifying bullish or bearish momentum
3️⃣ **📊 Swing High & Swing Low Detection:**
- Identifies **Swing Highs (Higher than last 5 candles) as SL for Short trades**
- Identifies **Swing Lows (Lower than last 5 candles) as SL for Long trades**
- Plots these levels as **Purple (Swing High SL) & Yellow (Swing Low SL) dotted lines**
4️⃣ **📌 Labels on Swing Points:**
- **"HH SL"** is placed on Swing Highs
- **"LL SL"** is placed on Swing Lows
5️⃣ **⚡ Breakout Detection:**
- Detects if **price crosses above Resistance** (Bullish Breakout)
- Detects if **price crosses below Support** (Bearish Breakout)
- Background color changes to **Green (Bullish)** or **Red (Bearish)**
6️⃣ **🚨 Alerts for Breakouts:**
- Sends alerts when **price breaks above Resistance or below Support**
---
### **🎯 How to Use This Indicator?**
- **Trade with Trend:** Follow **EMA crossovers** and Support/Resistance levels
- **Set Stop-Loss:** Use **Swing High as SL for Shorts** & **Swing Low as SL for Longs**
- **Look for Breakouts:** Enter trades when price **crosses Resistance or Support**
This script is **ideal for scalping & intraday trading** in a **3-minute timeframe** 🚀🔥
Let me know if you need **any modifications or improvements!** 📊💹
Highest Volume Candle Analysis @MaxMaserati# Highest Volume Candle Analysis Indicator - Trading View Publication Summary
## What is the HVC Indicator?
The "Highest Volume Candle Analysis" indicator by MaxMaserati helps traders identify significant volume events and their subsequent breakouts. This tool detects high-volume candles that exceed a customizable threshold above the average volume and tracks how price interacts with these levels.
## Core Principle: Volume-Based Support & Resistance
The fundamental concept behind this indicator is that the highest volume candles represent significant market participation and create powerful support and resistance zones. These high-volume candles should be able to push price up or down, and price should not be able to close above (bearish HVC) or below (bullish HVC) these levels.
While price may temporarily breach these levels with a wick to take liquidity, it should not be able to close beyond them if the original volume-based level is truly significant. When price does close beyond these levels, it signals a violation of supply and demand principles and indicates a significant shift in market strength - a key trading opportunity.
EXAMPLE
## Key Features
- **High Volume Detection**: Automatically identifies candles with volume exceeding your specified threshold
- **Support & Resistance Levels**: Creates dynamic support (bullish HVC) and resistance (bearish HVC) levels
- **Breakout Detection**: Tracks and visualizes when price breaks through established HVC levels
- **Volume Comparison**: Shows volume ratios between breakout candles and their corresponding HVC levels
- **VWAP Integration**: Uses Volume Weighted Average Price to filter for more significant volume events
## Customizable Parameters
- **Trend Length**: Period for EMA calculation (default: 20)
- **Volume Threshold Multiplier**: Minimum volume multiplier above average (default: 1.5)
- **VWAP Length**: Period for VWAP calculation (default: 20)
## Visual Elements
- Green lines mark bullish HVC levels (high volume bullish candles)
- Red lines mark bearish HVC levels (high volume bearish candles)
- Blue lines indicate bullish breakouts of bearish HVC levels
- Red lines indicate bearish breakouts of bullish HVC levels
- Triangle markers highlight high-volume candles
- Labels display volume information in a clean, easy-to-read format
# How to Use the HVC Indicator
## Trading with HVC Levels
- **Support & Resistance**: Green lines mark bullish HVC support levels; red lines mark bearish HVC resistance levels.
- **Respect the Close**: While price may wick through HVC levels to grab liquidity, the key signal is whether it can close beyond these levels.
- **Bounce Trades**: When price approaches but respects an HVC level on close, consider trading in the direction of the rejection.
- **Breakout Trades**: When price closes beyond an HVC level, it indicates a significant shift in market strength - a potential trend change or continuation.
- **Volume Validation**: Check the volume ratio on breakouts; higher relative volume suggests a more reliable signal.
## Quick Tips
1. Use tight stops beyond HVC levels for bounce trades.
2. Look for false breakouts (wicks beyond but closes respecting the level) for counter-trend opportunities.
3. Combine with trend analysis - HVC breakouts in the direction of the larger trend offer higher probability setups.
4. Pay attention to how aggressively price approaches HVC levels - hesitation often indicates the level will hold.
5. The most powerful signals occur when price respects multiple HVC levels or when breakouts happen with exceptional volume.
SigmaTrend Prime | QuantEdgeBIntroducing SigmaTrend Prime (STP) by QuantEdgeB
🛠️ Overview
SigmaTrend Prime (STP) is an advanced trend-following indicator that combines double exponential moving averages (DEMA) with a volatility-adjusted SuperTrend framework.
Unlike traditional ATR-based SuperTrends, STP dynamically adjusts trend thresholds using a standard deviation filter derived from price percentiles. This ensures that the trend signals remain highly adaptive, filtering out short-term noise while maintaining robustness across different market conditions.
By leveraging a DEMA core, STP minimizes lag while preserving strong trend identification, making it a powerful tool for traders looking to capture directional moves with enhanced precision.
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✨ Key Features
🔹 DEMA-Driven Trend Filtering
SigmaTrend Prime minimizes lag and enhances responsiveness using a double exponential moving average (DEMA) core.
🔹 Volatility-Adaptive SuperTrend
STP applies a percentile-based price smoothing technique, ensuring that the trend filter dynamically adjusts to market conditions.
🔹 Standard Deviation (SD) Filtering for Noise Reduction
By applying a rolling standard deviation derived from smoothed price action, STP eliminates false breakouts and enhances trend clarity.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, backtest metrics, and signal labels, making it highly adaptable for different trading styles.
📊 How It Works
1️⃣ DEMA-Based Trend Smoothing
SigmaTrend Prime uses DEMA (Double Exponential Moving Average) as its trend foundation, offering a smoother and more responsive trend structure:
🔹 Why DEMA?
✔ Minimizes lag compared to standard EMA.
✔ Maintains trend sensitivity while reducing market noise.
✔ Stronger confirmation of directional moves in volatile environments.
2️⃣ Adaptive Volatility Filtering with Standard Deviation (SD)
Unlike conventional SuperTrend indicators that rely on ATR for trend filtering, SigmaTrend Prime applies an SD-based smoothing mechanism.
📌 How it Works?
✔ Price Percentile Calculation → Uses percentile price ranking for better trend representation.
✔ Rolling Standard Deviation Calculation → Applies a volatility-adjusted filter to prevent false signals.
✔ Dynamic Trend Band Expansion → Factors (Factor1 & Factor2) multipliers to adjust trend sensitivity based on current price behavior.
🔹 Why SD-Based Filtering?
✔ More adaptive to different volatility regimes.
✔ Improves trend accuracy in both trending and ranging markets.
✔ Avoids excessive whipsaws common with ATR-based models.
3️⃣ Signal Generation & Trend Confirmation
SigmaTrend Prime detects trend shifts based on SD-filtered breakouts:
✅ Long Signal → Triggered when price crosses above the SuperTrend upper band.
❌ Short Signal → Triggered when price crosses below the SuperTrend lower band.
📌 Additional Features:
✔ Adaptive Signal Labels → Shows "Long" or "Short" trade signals dynamically.
✔ Trend-Following Mode → Stays in position until a confirmed reversal signal occurs.
✔ Customizable Sensitivity → Traders can adjust Factor1 & Factor2 multipliers and other settings to refine signal responsiveness.
👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Identify strong directional trends with greater accuracy.
✅ Swing & Position Traders → Gain precise trend confirmation signals for optimized entries/exits.
✅ Volatility-Aware Traders → Benefit from adaptive trend filtering based on real-time market conditions.
✅ Systematic & Quant Traders → Implement STP within automated trading systems for improved trend detection.
⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
• DEMA Source (Default: HLC3) → Defines the price input for DEMA calculations.
• DEMA Length (Default: 30) → Controls the smoothing period for trend calculation.
• Percentile SD Length (Default: 10) → Determines historical percentile ranking for volatility
assessment.
• Volatility SD Length (Default: 30) → Defines rolling SD length for dynamic filtering.
• Trend Sensitivity Factors:
🔹 Factor1 (Default: 25) → Adjusts lower SD band responsiveness.
🔹 Factor2 (Default: 40) → Controls upper SD band expansion.
• Visual Customizations → Multiple color modes, backtest metrics, and trend labels available.
🚀 By default, STP is optimized for adaptive trend-following while remaining flexible for customization.
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📌 How to Use SigmaTrend Prime in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when STP confirms a bullish trend shift above its upper trend band.
✔ Enter short positions when STP confirms a bearish trend shift below its lower trend band.
✔ Stay in trades as long as STP maintains trend direction, filtering out false reversals.
2️⃣ Volatility-Adaptive Strategy (Dynamic Trend Adjustments)
✔ Use Factor1 & Factor2 adjustments to fine-tune STP’s sensitivity to price movements.
✔ Increase Factor1 for slower trend shifts and reduce Factor2 for more aggressive trend detection.
📌 Why?
• In high-volatility conditions, adjust trend bands wider to prevent whipsaws.
• In low-volatility conditions, tighten trend bands for faster signal responsiveness.
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📊 Backtest Mode
SigmaTrend Prime includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess STP’s historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different STP settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
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📌 Conclusion
SigmaTrend Prime (STP) is an advanced trend-following solution that merges DEMA-based trend smoothing with standard deviation-adaptive filtering. By utilizing percentile-based price smoothing, STP enhances trend accuracy while ensuring that signals remain adaptive to different market environments.
🔹 Key Takeaways:
1️⃣ Lag-Minimized Trend Filtering – DEMA enhances trend responsiveness while reducing noise.
2️⃣ SD-Based Volatility Adaptation – More reliable than ATR-based trend models, reducing false breakouts.
3️⃣ Customizable & Dynamic – Easily fine-tune sensitivity settings for various market conditions.
📌 Master the market with precision and confidence | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
IB & Hammer at SMA(20,50|200)IB & Hammer at SMA (20, 50, 200) Breakout/Breakdown Indicator
Overview:
The IB (Inside Bar) & Hammer at SMA Breakout/Breakdown Indicator is designed to identify breakout and breakdown opportunities using Inside Bars (IB) in combination with Simple Moving Averages (SMA 20, 50, 200) as key trend filters. This indicator is useful for traders looking to catch momentum moves after consolidation phases, confirming the trend direction with moving averages.
Indicator Logic:
Inside Bar (IB) Detection:
An Inside Bar is a candlestick that is completely within the range of the previous candle (i.e., lower high and higher low).
Inside Bars indicate consolidation, suggesting a potential breakout.
SMA Trend Confirmation:
The script uses three moving averages (SMA 20, 50, 200) to determine the trend direction.
Bullish trend: Price is above the 50 & 200 SMAs.
Bearish trend: Price is below the 50 & 200 SMAs.
The 20 SMA is used as a dynamic short-term momentum filter.
Breakout & Breakdown Conditions:
Breakout: When price breaks above the Inside Bar’s high, and the trend is bullish (above key SMAs).
Breakdown: When price breaks below the Inside Bar’s low, and the trend is bearish (below key SMAs).
Alerts can be set to notify traders of potential trade opportunities.
Features:
✅ Identifies Inside Bars (consolidation zones).
✅ Uses SMA (20, 50, 200) for trend confirmation.
✅ Breakout/Breakdown signals based on Inside Bar structure.
✅ Customizable Moving Averages & Alerts.
✅ Visual markers for easy trade identification.
How to Use:
Confirm Trend Direction:
If the price is above SMA 50 & 200, look for breakout trades.
If the price is below SMA 50 & 200, look for breakdown trades.
Watch for Inside Bars:
The script highlights Inside Bars with a specific color (configurable).
These bars indicate a low-volatility phase, preparing for a breakout.
Trade on Breakout/Breakdown:
Breakout: Enter long when the price breaks above the Inside Bar’s high (bullish trend).
Breakdown: Enter short when the price breaks below the Inside Bar’s low (bearish trend).
Enhanced VIP-like IndicatorSettings Breakdown Tutorial: Optimizing a Trading Strategy
This guide explains the key trading strategy settings and how to customize them based on your trading style and goals. Each parameter is essential for tailoring the strategy to market conditions and your risk appetite.
1. Short Moving Average Length (Default: 9)
• Purpose: Tracks short-term trends using a small number of candles.
• Settings Tips:
• Smaller Values (e.g., 9): Quickly react to price changes, useful for fast-moving markets.
• Larger Values (e.g., 12-15): Generate smoother signals for less volatile trades.
2. Long Moving Average Length (Default: 21)
• Purpose: Identifies long-term trends.
• Settings Tips:
• Higher Values (e.g., 50): Spot broader trends at the expense of slower signals.
• Trend Analysis: The interaction of short and long MAs helps determine bullish or bearish trends (e.g., bullish when short MA crosses above long MA).
3. Higher Timeframe MA Length (Default: 200)
• Purpose: Filters long-term trends on a higher timeframe (e.g., daily).
• Settings Tips:
• 200 Periods: Standard for defining bullish (price above) or bearish (price below) markets.
• Adjustable: Use 100 for faster responses or stick with 200 for reliability.
4. Higher Timeframe (Default: 1 Day)
• Purpose: Defines the timeframe for the higher moving average.
• Settings Tips:
• Shorter Timeframes (e.g., 4 Hours): More frequent trading signals.
• Daily Timeframe: Best for swing trading and identifying macro trends.
5. RSI Length (Default: 14)
• Purpose: Measures momentum over a specific number of candles.
• Settings Tips:
• Lower Values (e.g., 7): More sensitive to price changes, ideal for quick trades.
• Higher Values (e.g., 20): Smooth signals for more stable markets.
6. RSI Overbought (70) and Oversold (30) Levels
• Purpose: Marks thresholds for overbought and oversold conditions.
• Settings Tips:
• Stricter Levels (e.g., 80/20): Fewer, higher-quality signals.
• Looser Levels (e.g., 65/35): More frequent signals, suitable for active trading.
7. Pivot Left Bars (5) and Pivot Right Bars (5)
• Purpose: Confirms pivot points (support/resistance) based on surrounding candles.
• Settings Tips:
• Higher Values (e.g., 10): Stronger but less frequent pivot points.
• Lower Values: More responsive, for traders seeking quick pivots.
8. Take Profit Percentage (Default: 2%)
• Purpose: Defines the profit level to exit trades.
• Settings Tips:
• Higher Values (e.g., 5%): For swing traders holding positions longer.
• Lower Values (e.g., 1%): For scalpers focusing on quick trades.
9. Minimum Volume (Default: 1,000,000)
• Purpose: Ensures sufficient liquidity for trading.
• Settings Tips:
• Lower Values: For lower-volume markets.
• Higher Values: Reduces risk in high-liquidity assets.
10. Stop Loss Percentage (Default: 1%)
• Purpose: Sets the maximum acceptable loss per trade.
• Settings Tips:
• Lower Values (e.g., 0.5%): Reduces risk, suited for conservative trading.
• Higher Values (e.g., 2%): Allows more price fluctuation, ideal for volatile markets.
11. Entry Conditions
• Options:
• MA Crossover & RSI: Combines trend-following and momentum for well-rounded signals.
• Pivot Breakout: Focuses on support/resistance breakouts for high-impact trades.
• Settings Tips:
• Trend-Following Traders: Use MA Crossover & RSI.
12. Exit Conditions
• Options:
• Opposite Signal: Exits when the trade’s opposite condition occurs (e.g., bullish to bearish).
• Fixed Take Profit/Stop Loss: Exits based on predefined profit/loss thresholds.
• Settings Tips:
• Opposite Signal: Ideal for trend-following strategies.
Summary
Customizing these settings aligns the strategy with your trading goals. Test configurations in a demo environment before live trading to refine the approach and optimize results. Always balance profit potential with risk management.
• Fixed Levels: Better for strict risk management.
• Breakout Traders: Opt for Pivot Breakout.
Trend Heuristics (+Signals)Trend Heuristics - Enhanced Rolling VWAP with Smart Signals
This indicator is an enhanced version of the Rolling VWAP (RVWAP) concept, originally based on PineCoders' ConditionalAverages library. It combines volume-weighted average price analysis with advanced signal detection for both sweeps and breakouts.
Core Features
1. Rolling VWAP System
- Implements a dynamic rolling VWAP that adapts to different timeframes
- Includes standard deviation bands for volatility measurement
- Offers flexible time period settings (fixed or auto-adjusting)
- Provides customizable visual elements including bands and fills
2. Dual Signal System
Sweep Signals
Detects high-probability reversal points with these conditions:
- Bullish Sweep:
- Opens above upper band
- Tests below upper band (low)
- Closes above upper band
- Shows stronger lower wick
- Closes above previous high
- Has favorable close position (upper 50% of candle)
- Bearish Sweep:
- Opens below lower band
- Tests above lower band (high)
- Closes below lower band
- Shows stronger upper wick
- Closes below previous low
- Has favorable close position (lower 50% of candle)
Breakout Signals
Identifies potential trend changes with these conditions:
- Bullish Breakout:
- Opens below VWAP
- Closes above upper band
- Indicates strong momentum shift upward
- Bearish Breakout:
- Opens above VWAP
- Closes below lower band
- Indicates strong momentum shift downward
Technical Details
Base Components
- Built upon PineCoders' ConditionalAverages library
- Incorporates custom alert system via CustomAlertLib
- Uses standard deviation for band calculations
Customization Options
- Adjustable standard deviation multiplier
- Flexible time period settings
- Independent controls for sweep and breakout signals
- Customizable visual elements (colors, sizes, positions)
- Custom alert message formatting
Use Cases
1. Trend Following:
- Use VWAP as dynamic support/resistance
- Monitor breakout signals for trend changes
2. Mean Reversion:
- Use sweep signals for counter-trend opportunities
- Standard deviation bands for range identification
3. Volume Analysis:
- VWAP provides volume-weighted price levels
- Helps identify significant price levels
Notes
- Best performed on liquid instruments with consistent volume
- Most effective on timeframes from 1hours to 4 hours and 1D, anything greater isn't very good
- Recommended to use in conjunction with other technical analysis tools
- Signals can be filtered based on higher timeframe trends
Credits
- Original Rolling VWAP concept by PineCoders
Flat Market Range Pro [CHE]Flat Market Range Pro Indicator
Introduction
Hey there! 👋
Welcome to our overview of the Flat Market Range Pro indicator. Whether you're new to trading or a seasoned pro, this tool is designed to help you spot those flat market conditions where prices are chilling within a certain range. By highlighting these consolidation zones and potential breakout points, it offers some pretty neat insights to boost your trading strategies. Let’s dive in and explore how this indicator can make your trading journey smoother and more informed!
How It Works
The Flat Market Range Pro indicator is all about understanding the ebb and flow of the market. Here's a simple breakdown:
Range Detection:
Range Period (range_period): This sets the number of bars (think of them as time slices) the indicator looks back to find the highest highs and lowest lows. It’s like setting the scope for your search.
Minimum Candles in Range (min_candles_in_range): Ensures that there are enough candles (price bars) within the range to make the detection meaningful. No point in highlighting a range if it’s too short, right?
Adaptive Moving Average (AMA):
Think of AMA as the indicator’s way of staying flexible. It smooths out the price data to better spot trends within those flat ranges. Don’t worry, it’s working behind the scenes and won’t clutter your chart.
Breakout Detection:
When the price decides to break free from its cozy range, the indicator flags it. It waits for confirmation to make sure it’s not just a fleeting move, adding a layer of reliability to your signals.
Visualization:
Flat Market Zones: These are shaded areas that highlight where the price has been consolidating.
Support and Resistance Lines: Automatically drawn lines that mark key price levels, helping you see where the price might bounce or break through.
Trade Signals: Arrows popping up to show potential buy or sell opportunities when breakouts occur.
Breaking It Down
1. Detecting the Range
The indicator scans through the past range_period bars to find the highest and lowest prices. This creates a dynamic range that adjusts as new data comes in. It’s like having a smart assistant keeping an eye on where the action is happening.
2. The Role of AMA
Even though you won’t see AMA on your chart, it plays a crucial role. It helps the indicator adapt to changing market conditions by smoothing out the data, making sure the breakout signals are spot-on and not just random noise.
3. Spotting Breakouts
A breakout happens when the price moves beyond the established range. The indicator marks these moments with clear arrows, so you know when it might be a good time to jump in or out of a trade. Plus, it waits for confirmation to ensure these signals are solid.
4. Visualizing Flat Markets
Shaded boxes highlight the areas where the price has been consolidating, making it easy to see when the market is flat. Support and resistance lines are drawn automatically, and you can even customize how they look to match your personal style.
Customize It Your Way
One of the best things about the Flat Market Range Pro indicator is how customizable it is. Here’s what you can tweak:
Range Settings:
Adjust the range_period to fit different timeframes.
Set the min_candles_in_range to ensure the ranges you see are meaningful.
Moving Average Settings:
Change the ma_length and ma_lookback to fine-tune how the AMA responds to price movements.
Visual Tweaks:
Pick your favorite colors and transparency levels for the shaded zones.
Choose whether to display support and resistance lines and extend them indefinitely if you like.
Toggle trade arrows and labels on or off based on what you find most helpful.
Organizing these settings into logical groups makes it super easy to customize the indicator just the way you like it.
Real-World Examples
1. Spotting Consolidation: Imagine you’re watching a stock that’s been moving sideways for a while. The indicator highlights this consolidation with shaded boxes and support/resistance lines, giving you a clear picture of where the price is hanging out.
2. Trading Breakouts: When the price finally decides to break free from the range, the indicator pops up buy or sell arrows. This helps you catch the move early, whether you’re looking to enter a new trade or exit an existing one.
3. Making Informed Decisions: With clear visual cues and reliable signals, you can make smarter trading decisions without getting overwhelmed by too much information.
Behind the Scenes: Technical Insights
For those curious about the nuts and bolts, here’s a peek into how the Flat Market Range Pro indicator is built:
Efficient Range Calculation:
Uses loops to scan through the specified range_period, ensuring accurate detection of high and low points.
Adaptive Logic with AMA:
Incorporates the Simple Moving Average (SMA) to create a threshold coefficient, making the indicator responsive to market changes.
Clear Visualization:
Utilizes box.new and label.new for intuitive visual representations of flat markets.
Employs plotshape and plot to display breakout signals clearly on your chart.
Optimized Performance:
Avoids plotting unnecessary elements like AMA, keeping your chart clean and focused on what matters.
Why You’ll Love It
The Flat Market Range Pro indicator brings a lot to the table:
Accurate Range Detection:
Pinpoints consolidation zones by analyzing historical highs and lows.
Flexible and Adaptive:
AMA ensures the indicator stays responsive to different market conditions.
User-Friendly Visuals:
Shaded zones, support/resistance lines, and clear trade signals make your chart easy to understand at a glance.
Highly Customizable:
Tailor the settings to match your trading style and preferences.
Reliable Signals:
Confirmation mechanisms help reduce false signals, giving you more confidence in your trades.
Wrapping It Up
The Flat Market Range Pro indicator is a fantastic tool for anyone looking to navigate flat or consolidating markets with ease. By combining precise range detection, adaptive logic, and clear visual cues, it helps you identify consolidation phases and seize breakout opportunities effectively. Its customizable features ensure that it fits seamlessly into your trading strategy, whether you’re just starting out or have years of experience under your belt.
For more details, a step-by-step guide on using the indicator, and access to the full Pine Script code, check out the accompanying documentation or reach out for support. Happy trading! 🌟
Questions and Further Information
Got questions or need a hand with the Flat Market Range Pro indicator? Feel free to reach out! Whether you’re curious about how it works or need tips on customizing it for your trading style, we’re here to help. Also, give the indicator a try on different charts to see how it performs in various market conditions. Let’s make your trading experience better together!
Best regards
Chervolino
This script was inspired by: Trend Regularity Adaptive Moving Average
and
Range Detection by HasanRifat
