Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
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## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
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## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
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## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
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## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
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## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
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## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
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## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
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## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
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## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
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## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
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## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
Cari dalam skrip untuk "breakout"
RY-Parabolic Stop and ReverseParabolic Stop and Reverse with Support Resistance (PSAR-SR)
Identify dynamic support and resistance levels based on price movements.
Reduce false signals often generated by the regular PSAR.
Provide more accurate trading decisions by considering previous reversal points as support and resistance.
How Does PSAR-SR Work?
PSAR Reversal Points:
When the regular PSAR generates a reversal signal, the price at that reversal point is used as support (in an uptrend) or resistance (in a downtrend).
Support and Resistance Lines:
Support: A line drawn from the previous PSAR reversal point in an uptrend.
Resistance: A line drawn from the previous PSAR reversal point in a downtrend.
Price often moves sideways between these support and resistance levels before a breakout occurs.
Breakout Above/Below Support and Resistance:
A Buy signal is generated when the price breaks above resistance with a new candle closing above it.
A Sell signal is generated when the price breaks below support with a new candle closing below it.
Strategy Using PSAR-SR
Wait for the Breakout:
Avoid buying or selling immediately when the PSAR gives a signal.
Confirm that the price breaks past the support or resistance levels and forms a new candle outside those lines.
Use Alongside Other Indicators:
PSAR-SR is not recommended as a standalone tool. Use additional confirmation indicators such as:
Moving Average: To identify long-term trends.
RSI or MACD: To confirm momentum or overbought/oversold conditions.
Advantages of PSAR-SR
Reduces False Signals:
By focusing on previous support and resistance levels, PSAR-SR avoids invalid signals.
Helps Identify Breakouts:
It provides better insight for traders to enter the market during valid breakouts.
Limitations of PSAR-SR
Not Suitable for Sideways Markets:
If the price moves sideways for an extended period, the signals may become less effective.
Requires Additional Confirmation:
Should be used in combination with other indicators to improve accuracy.
Conclusion
PSAR-SR is a helpful tool for identifying dynamic support and resistance levels and generating buy/sell signals based on price breakouts. However, it should always be used with additional indicators for confirmation to avoid false trades.
Disclaimer:
Use this indicator at your own risk, and always perform additional analysis before making any trading decisions.
If you'd like further clarification or examples of how to apply this to a chart, feel free to ask! 😊
Composite Indicator (Donchian + OBV)Composite Indicator (Donchian + OBV)
The Composite Indicator (Donchian + OBV) is a powerful tool designed to evaluate the strength of market breakouts and momentum trends , offering traders a comprehensive perspective on price action. This indicator combines the Donchian Channel with On-Balance Volume (OBV) to create a dynamic and easy-to-interpret metric scaled between -1 and 1 .
Key Features
Breakout Strength Analysis:
- The indicator assesses the strength of price breakouts relative to the upper and lower bounds of the Donchian Channel.
- Positive values close to 1 indicate a strong bullish breakout.
- Negative values close to -1 indicate a strong bearish breakout.
Momentum Detection with OBV:
- On-Balance Volume (OBV) tracks the cumulative buying and selling volume to gauge market momentum.
- The smoothed OBV trend ensures the momentum component aligns with price action, reducing noise.
Integrated Composite Value:
- Combines breakout strength and OBV momentum into a single metric for enhanced clarity.
- The final composite value highlights whether the market is bullish, bearish, or neutral.
Divergence Detection:
- Spot bullish divergences when the indicator rises while price falls, suggesting a potential upward reversal.
- Identify bearish divergences when the indicator falls while price rises, hinting at a potential downward reversal.
How It Works
Donchian Channel Analysis:
- Calculates the highest high and lowest low over a user-defined period to establish the upper and lower channels .
- Breakouts beyond these channels contribute to the breakout strength component.
OBV Momentum:
- Measures cumulative volume trends to validate price movements.
- Momentum is derived from the rate of change in smoothed OBV values.
Composite Calculation:
- Combines breakout strength and OBV momentum, normalized and scaled to -1 to 1 for clarity.
How to Use
Bullish Breakout:
- When the indicator value approaches 1 , it signals a strong upward breakout supported by positive OBV momentum.
- Example Action: Consider a Buy if price breaks the upper Donchian Channel with increasing OBV.
Bearish Breakout:
- When the indicator value approaches -1 , it indicates a strong downward breakout supported by negative OBV momentum.
- Example Action: Consider a Sell if price breaks the lower Donchian Channel with decreasing OBV.
Neutral Market:
- When the value is near 0 , the market is likely balanced with no significant breakout or momentum detected.
Divergence Opportunities:
- Bullish Divergence: Price makes lower lows, but the indicator trends upward → Potential upward reversal.
- Bearish Divergence: Price makes higher highs, but the indicator trends downward → Potential downward reversal.
Customization Options
Donchian Channel Length: Adjust the period for the upper and lower bounds.
OBV Smoothing Length: Modify the smoothing period for OBV to fine-tune momentum detection.
Scaling Adjustments: The composite value is automatically normalized for consistency across timeframes.
Ideal Use Cases
Breakout Trading: Identify and confirm strong breakouts in volatile markets.
Momentum Confirmation: Validate price movements with volume-based momentum.
Reversal Detection: Leverage divergences to spot potential market reversals.
Example Applications
Strong Bullish Signal:
- Price breaks the upper channel , and OBV shows increasing volume → Composite value near 1 .
- Action: Enter a Buy position and set a Stop Loss below the upper channel.
Strong Bearish Signal:
- Price breaks the lower channel , and OBV shows decreasing volume → Composite value near -1 .
- Action: Enter a Sell position and set a Stop Loss above the lower channel.
Neutral Market:
- Composite value near 0 suggests indecision or consolidation. Wait for a breakout.
Limitations
Best used alongside additional tools like RSI or MACD for filtering noise and improving decision-making.
Requires careful parameter tuning based on the asset and timeframe.
Final Thoughts
The Composite Indicator (Donchian + OBV) offers traders a versatile tool to navigate complex markets. By blending breakout analysis with volume-based momentum, this indicator provides an actionable edge for identifying high-probability opportunities and potential reversals.
BRT Cluster VolumeTitle and Purpose
BRT Cluster Volume is a powerful market analysis tool designed to identify key support and resistance levels, cluster volumes, and breakout signals. This script is highly beneficial for traders who aim to gain deeper insights into market trends and pinpoint zones of interest for buyers and sellers.
Key Features
1. Support and Resistance Levels:
- The script automatically detects chart extremums by analyzing a specified number of bars on the left and right to form levels. This approach effectively identifies local highs and lows.
- The uniqueness of this implementation lies in its dynamic data processing. For each extremum, the "channel width" is calculated, allowing insignificant levels to be filtered out based on a user-defined minimum width. This method eliminates noise and ensures focus on critical levels.
- Extremum lines can be extended to the right (when enabled), allowing traders to track current price movements relative to historical levels.
2. Cluster Volume:
- The cluster analysis is based on lower timeframe data, providing precise identification of key zones of market participant activity. The script dynamically requests close prices and volumes from lower timeframes, calculates the average volume, and identifies levels where volumes exceed a defined threshold.
- The visualization of cluster volumes is unique: volumes exceeding the threshold are displayed as candles with customizable colors and markers. These indicators help traders identify zones of significant interest.
- Cluster volume is only displayed when it interacts with support or resistance levels, ensuring that the visualization remains precise and relevant for market analysis.
3. Breakout Signals:
- The script evaluates "breakout strength" for each breakout of support or resistance levels by comparing the current price with the level. This helps filter false breakouts and focus on significant price movements.
- Traders can select the source for breakout signals (close price or high/low), offering flexibility for various trading styles and strategies.
- By incorporating the concept of "maximum breakout strength," the script highlights only meaningful breakouts, ignoring minor fluctuations.
4. Integration of Trading Sessions:
- Extremum levels for major trading sessions (Asia, Europe, USA) are identified and labeled on the chart. This allows traders to see when significant price levels were formed during the day.
- The script uses timestamps to automatically detect session times, ensuring accuracy and minimizing manual adjustments.
5. Dynamic Data Updates:
- The script dynamically updates support and resistance levels in real time as new data becomes available. This feature is crucial for traders working in fast-moving markets.
- Outdated information (such as obsolete levels) is automatically removed to keep the chart clean and focused on relevant data.
6. Visualization of Activity Zones:
- Trend direction is visualized using color-coded candles based on cluster volumes. For instance, candles with volumes exceeding the average are highlighted with specific colors, helping traders quickly identify areas of heightened activity.
- The unique aspect of this visualization is that cluster volumes appear only in zones where they interact with breakout levels, providing an intuitive and streamlined presentation of critical data.
Usage
- Support and Resistance: Adjust the "Left Bars" and "Right Bars" settings to determine extremums. Use the "Channel Min Width" setting to filter out insignificant levels.
- Cluster Volume: Customize the analysis period and volume threshold to identify high-activity zones. Enable breakout clusters to see how volumes interact with breakouts.
- Session Extremums: Highlight significant levels for Asia, Europe, and US trading sessions to gain insights into market dynamics across different time zones.
- Breakout Signals: Configure the breakout strength and source (close or high/low) for precise signal detection.
Parameter Details
1. Support & Resistance:
- `Left Bars` / `Right Bars`: Number of bars to consider for determining extremums.
- `# of Lines`: Maximum number of support/resistance lines to display.
- `Channel Min Width`: Minimum channel width to filter insignificant levels.
2. Breakout:
- `Show Breakouts`: Toggle breakout signal display.
- `Max breakout strength`: Maximum strength for valid breakouts.
- `Breakout source`: Data source for breakouts (close or high/low).
3. Cluster Volume:
- `Lookback`: Number of bars to analyze for cluster volumes.
- `Threshold`: Volume threshold (percentage above the average).
- `Cluster Volume Timeframe`: Timeframe for cluster volume analysis.
- `Breakout Cluster`: Display cluster volumes only for breakout-related zones.
4. Visual Settings:
- `Extend extremum lines to the right`: Extend support/resistance lines to the right.
- `Show ASIA/EU/US Session Extremums`: Display extremums for trading sessions.
Features and Benefits
- The script provides flexible parameter customization, allowing it to adapt to different trading styles and timeframes.
- The visualization is designed to be clean and intuitive, ensuring users can easily interpret the data.
- Suitable for all timeframes, making it ideal for both intraday and long-term market analysis.
Limitations
- The script is not suitable for analysis on non-standard chart types (e.g., Heikin Ashi, Renko, Kagi).
- To ensure accurate performance, realistic data for commission and slippage should be used.
Warnings
- The script relies on historical data for calculations, which may cause discrepancies in real-time conditions.
- Users should fully understand the functionality of cluster analysis and breakout signals before using the script in live trading.
This script combines advanced data processing logic, dynamic level adjustments, and unique visualization approaches, making it an indispensable tool for market analysis and trading decision-making.
E9 Shark-32 PatternUnderstanding the Shark-32 Pattern and its Trading Applications
The Shark-32 Pattern is a bearish technical trading formation used to predict market reversals or trend continuations. It highlights a downward move followed by a corrective rally, signaling a potential resumption of the downtrend. Here’s a breakdown of how it works:
What is the Shark-32 Pattern?
The Shark-32 pattern is a five-wave structure typically observed in bearish markets:
Wave 0 to X: A significant price decline starts the pattern.
Wave X to A: A correction pushes the price slightly upward.
Wave A to B: The price drops again but doesn’t reach the initial low.
Wave B to C: A final sharp decline concludes the pattern.
Once Wave C is formed, it suggests that the market will continue to move downward, presenting a potential selling or shorting opportunity.
Using the Pattern in Trading
This pattern is valuable for traders seeking high-probability bearish setups. The goal is to capitalize on the continuation of a downtrend following the corrective rally (X to A). Identifying the Shark-32 pattern helps anticipate the next wave of selling pressure.
Trading Setup
Identify a Shark-32 pattern.
If the price closes above the pattern's high, buy at the open the next day.
If the price closes below the pattern's low, short at the open the next day.
Sell/cover when the price moves 7% in the direction of the breakout.
Close the trade for a loss if the price moves 7% in the opposite direction.
For example, in a bull market after an upward breakout from a Shark-32, the net gain was $69.55. The method won 56% of the time with 5,218 winning trades and an average gain of $714.07. Conversely, 44% of trades were losers, with an average loss of $747.33. The average holding period was 26 calendar days.
The gains and losses were closely aligned with the 7% threshold set for this test.
Key Target Levels
To enhance the strategy, use dotted projection lines as target levels:
Upper Target: Drawn above the high of the corrective rally (Wave A). If the price breaks above this line, it may signal further upward movement, indicating a potentially weaker downtrend.
Lower Target: Positioned below the low of Wave C, providing a target for bearish trades.
These lines help determine future price targets and assist in setting take-profit or stop-loss levels.
Trading the Breakout
Look for breakouts once the Shark-32 pattern is identified:
Upward Breakout: If the price closes above the green line (high from two bars ago), it indicates a potential reversal to the upside.
Downward Breakout: If the price breaks below the red line (low from two bars ago), it confirms the bearish continuation.
Breakouts allow traders to adjust their positions based on market shifts.
Trading Tips
Continuation: The Shark-32 pattern acts as a continuation 60% of the time, confirming the ongoing trend.
Breakout Confirmation: Wait for the price to close above or below the pattern’s key levels before entering a trade.
Trade with the Trend: Since the Shark-32 is a continuation pattern, expect the breakout to align with the inbound price trend.
Symmetry: Patterns with symmetry often perform better. For more insights, refer to detailed trading literature.
Half-Staff: The Shark-32 can form midway in a trend, similar to flags and pennants.
Shark-32: Trading Performance
Based on an analysis of 23,369 trades, the following performance metrics were observed:
Bull Market with Upward Breakout: The average net profit was $69.55. This method won 56% of the time, with winning trades averaging $714.07. Losing trades, which constituted 44% of the total, had an average loss of $747.33. The average holding period was 26 calendar days.
Bull Market with Downward Breakout: The average net loss was $(76.36). This method won 43% of the time, with winning trades averaging $753.56. Losing trades, which constituted 57% of the total, had an average loss of $706.32. The average holding period was 23 calendar days.
Bear Market with Upward Breakout: The average net loss was $(89.13). This method won 46% of the time, with winning trades averaging $710.77. Losing trades, which constituted 54% of the total, had an average loss of $756.97. The average holding period was 16 calendar days.
Bear Market with Downward Breakout: The average net profit was $65.17. This method won 52% of the time, with winning trades averaging $781.62. Losing trades, which constituted 48% of the total, had an average loss of $722.41. The average holding period was 13 calendar days.
Opening Range v3 (Dynamic)Opening Range Signals v3 (Dynamic) - Indicator Guide
Created by: MecarderoAurum
Why This Indicator Exists: An Overview
The "Opening Range Signals" indicator is a sophisticated tool designed for day traders who focus their strategy on the price action that unfolds during the Regular Trading Hours (RTH) of the New York session (09:30 - 16:00 ET). The opening period of the market, often called the "initial balance," is a critical time where institutions and traders establish the early high and low for the day. Trading the breakout of this range is a classic and effective strategy, but it's often plagued by false moves and "head fakes."
This indicator was built to solve that problem. It not only identifies the initial range but also incorporates a powerful dynamic expansion feature. This allows the indicator to intelligently adapt to early session volatility, filter out false breakouts, and establish more reliable support and resistance levels for the rest of the trading day. It provides a clear, visual framework for executing opening range strategies with more confidence.
Key Features & How to Use Them
1. Customizable Opening Range
This is the foundation of the indicator. It draws the high and low of the initial trading period on your chart.
What it does: Establishes the initial support and resistance levels for the day.
How to use it: In the settings under "Time Settings," you can set the "Opening Range Duration" from 1 to 30 minutes. A shorter duration (e.g., 5 minutes) will be more sensitive and give earlier signals, while a longer duration (e.g., 30 minutes) will establish a wider, more robust range.
2. Dynamic Range Expansion
This is the indicator's most powerful and unique feature. It helps you avoid getting trapped in false breakouts.
What it does: If the price breaks out of the initial range but then quickly closes back inside, the indicator will automatically expand the range to include the full wick of the failed breakout. This tells you the market is still establishing its true range.
How to use it: In the settings under "Dynamic Range," you can:
"Enable Dynamic Range Expansion": This is on by default.
"Expansion Time Limit (Min)": Set how long the indicator should look for these failed breakouts. After this time, the range will be locked for the day.
3. Clear Visual Trading Signals
The indicator provides three distinct signals to help you interpret the price action around the opening range.
Breakout Body (Yellow plotshape):
What it means: The first confirmation that the price has decisively moved outside the established range. It appears when a candle's body closes entirely above the high or below the low.
How to use it: This is your alert that a potential breakout is underway. Do not enter yet; wait for confirmation.
Continuation (Green plotshape):
What it means: This signal appears on the candle immediately following a breakout if it shows momentum in the same direction. It confirms that the breakout has strength.
How to use it: This is a potential entry trigger. A continuation signal suggests the breakout is valid and may continue.
Failure (Red plotshape):
What it means: This signal appears if, after a breakout and continuation, the price quickly reverses and closes back inside the range. It's a strong indication of a false breakout.
How to use it: If you are in a breakout trade, a failure signal is a clear sign to exit. It can also be used as a setup for a reversal trade in the opposite direction.
Sample Strategy: The Breakout-Continuation Trade
This strategy uses the indicator's signals to trade a classic opening range breakout with added confirmation.
Setup:
Set the "Opening Range Duration" to your preferred time (e.g., 5 or 15 minutes).
Ensure the "Dynamic Range Expansion" is enabled to filter out early noise.
Entry Trigger:
Wait for a Breakout signal (yellow) to appear. This puts you on high alert.
Wait for a Continuation signal (green) on the very next candle. This is your entry trigger. Enter a long trade on a bullish continuation or a short trade on a bearish continuation.
Stop-Loss:
For a bullish (long) trade, a common stop-loss placement is just below the low of the continuation candle or, for a more conservative stop, just inside the opening range high.
For a bearish (short) trade, place your stop-loss just above the high of the continuation candle or just inside the opening range low.
Trade Management:
If a Failure signal (red) appears after you've entered, it indicates the breakout has failed. This is a strong signal to exit your trade immediately to protect your capital.
If the trade moves in your favor, you can manage it by taking profits at key levels or using a trailing stop.
Double Inside Body Candles with Box & Alert + 5-Bar LinesThis indicator identifies Double Inside Body Candle patterns, where:
Candle 1 is completely inside Candle 2,
Candle 2 is completely inside Candle 3 (the parent candle),
Candle 3 has a real body (not a doji or negligible body size).
Once the pattern is detected:
A label appears below the current candle.
A highlight box is drawn around Candle 3 (the parent candle) body range.
Horizontal lines are drawn from the top and bottom of Candle 3’s body and extend forward for exactly 5 bars to visualize potential breakout levels.
The script also detects and highlights breakouts:
🔼 Bullish breakout: if price closes above Candle 3's body high.
🔽 Bearish breakout: if price closes below Candle 3's body low.
Alerts are available for:
Double Inside Body pattern detection
Bullish breakout
Bearish breakout
Traders can use this script to identify consolidation periods (double inside bars), then monitor for breakout opportunities in either direction, using the 5-bar lines as short-term breakout levels.
Opening Range and Market BoundariesOpening Range and Market Boundaries
This versatile and insightful indicator combines two powerful concepts frequently used by professional traders: Opening Range Analysis and Market Boundaries derived from previous high/low levels. It is specifically designed to support intraday trading strategies and helps you identify key price zones for entries, exits, and breakout confirmations.
🔍 Features & Utility
1. Opening Range Box
What it does:
Highlights the high and low of the first candle after market open (9:15 AM IST) with a shaded box. This box spans the full trading session, from 9:15 AM to 3:30 PM, representing the key price range where the initial balance is formed.
Timeframe Compatibility:
The Opening Range box is optimized for 1-minute to 1-hour charts. It is most effective on lower timeframes (1m, 5m, 15m, 30m) where intraday price movements and breakout patterns can be clearly observed.
Usage Tips:
Breakouts above or below the Opening Range box can signal potential directional bias for the rest of the trading day.
Price consolidating within the range may indicate a choppy or range-bound session.
Works well with volume and momentum indicators for confirmation.
2. Market Boundaries
What it does:
Plots horizontal lines at:
Previous Day High/Low
Previous Week High/Low
Previous Month High/Low
Why it matters:
These levels act as natural support and resistance zones, and are commonly watched by institutional traders, making them crucial for:
Spotting reversals or breakouts
Planning stop-loss and target zones
Avoiding trades around high-rejection areas
Customization Options:
Toggle ON/OFF for Daily, Weekly, and Monthly levels.
Independent colors and line thickness for each level, enabling you to distinguish between different timeframes easily.
🛠️ How to Use Effectively
Use during market open:
Switch to a 5-minute or 15-minute chart during the first few candles of the session. Observe the Opening Range box formation and plan trades based on breakout direction.
Confluence Trading:
Look for price action near previous session highs/lows in confluence with the Opening Range box edges. These intersections often become high-probability zones for breakouts or reversals.
Session Preparation:
Before the market opens, analyze where the price is relative to past high/low boundaries. If it's near a weekly/monthly level, be cautious — those areas can cause whipsaws or false breakouts.
Avoid low-volume breakouts:
Use this indicator in conjunction with volume tools or price action confirmation to validate the strength of a move outside the Opening Range or Market Boundaries.
📌 Summary
This indicator is designed for intraday traders, scalpers, and swing traders who want a reliable structure to guide their decisions. It visually marks the opening balance of the market and essential higher timeframe boundaries, helping you trade with discipline and precision.
Volume Status by BobRivera990This indicator is a tool that shows a relative view of the trading volume and classifies the volume into 5 different levels and makes it easy to compare it in different periods.
It is also specifically designed for detecting failed (fake) breakouts.
How it works?
This tool uses something similar to Bollinger Bands , but with more bands.
I used two standard deviations (positive and negative) on either side of a simple moving average ( SMA ) of the trading volume .
I also used twice the standard deviation (negative and positive) on either side of the SMA to create more bands.
The classification is made as follows:
Usage:
This indicator is a tool to compare the volume , relatively and in different periods. It is also a good tool for detecting failed (fake) breakouts.
Fake Breakouts Occurs when a support or resistance is broken but the market does not accept and support these price changes. This lack of support will cause trading volume to decrease during or after the breakout.
So, if the indicator shows Low-Volume or Minor-Volume status at the time of the breakout or right after that, it may be a fake breakout.
The truth is you cannot avoid false breakouts completely as long as you trade breakouts but you can minimize the risk and the loss.
Thank you all for forming this unique community.
Parameters:
" Volume SMA Length " => The length of the simple moving average of the Volume
NY HIGH LOW BREAKNY HIGH LOW BREAK: A New York Session Breakout Strategy
The "NY HIGH LOW BREAK" indicator is a powerful TradingView script designed to identify and capitalize on breakout opportunities during the New York trading session. This strategy focuses on the initial price action of the New York market open, looking for clear breaches of the high or low established within the first 30 minutes. It's particularly suited for intraday traders who seek to capture momentum-driven moves.
Strategy Logic
The core of the "NY HIGH LOW BREAK" strategy revolves around these key components:
New York Session Opening Range Identification:
The script first identifies the opening range of the New York session. This is defined by the high and low prices established during the first 30 minutes of the New York trading session (from 7:01 AM GMT-4 to 7:31 AM GMT-4).
These crucial levels are then extended forward on the chart as horizontal lines, serving as potential support and resistance zones.
Breakout Signal Generation:
Long Signal: A buy signal is generated when the price breaks above the high of the New York opening range. Specifically, it looks for a candle whose open and close are both above the highLinePrice, and importantly, the previous candle's open was below and close was above the highLinePrice. This indicates a strong upward momentum confirming the breakout.
Short Signal: Conversely, a sell signal is generated when the price breaks below the low of the New York opening range. It looks for a candle whose open and close are both below the lowLinePrice, and the previous candle's open was above and close was below the lowLinePrice. This suggests strong downward momentum confirming the breakdown.
Supertrend Filter (Implicit/Future Enhancement):
While the supertrend and direction variables are present in the code, they are not actively used in the current signal generation logic. This suggests a potential future enhancement where the Supertrend indicator could be incorporated as a trend filter to confirm breakout directions, adding an extra layer of confluence to the signals. For example, only taking long breakouts when Supertrend indicates an uptrend, and short breakouts when Supertrend indicates a downtrend.
Second Candle Confirmation (Possible Future Enhancement):
The close_sec_candle function and openSEC, closeSEC variables indicate an attempt to capture the open and close of a "second candle" (30 minutes after the initial New York open). Currently, closeSEC is used in a specific condition for signal_way but not directly in the primary longSignal or shortSignal logic. This also suggests a potential future refinement where the price action of this second candle could be used for further confirmation or specific entry criteria.
Time-Based Filtering:
Signals are only considered valid within a specific trading window from 8:00 AM GMT-4 to 8:00 AM GMT-4 + 16 * 30 minutes (which is 480 minutes, or 8 hours) on 1-minute and 5-minute timeframes. This ensures that trades are taken during the most active and volatile periods of the New York session, avoiding late-session chop.
The script also highlights the New York session and lunch hours using background colors, providing visual context to the trading day.
Key Features
Automated New York Open Range Detection: The script automatically identifies and plots the high and low of the first 30 minutes of the New York trading session.
Clear Breakout Signals: Visually distinct "BUY" and "SELL" labels appear on the chart when a breakout occurs, making it easy to spot trading opportunities.
Timeframe Adaptability: While optimized for 1-minute and 5-minute timeframes for signal generation, the opening range lines can be displayed on various timeframes.
Customizable Risk-to-Reward (RR): The rr input allows users to define their preferred risk-to-reward ratio for potential trades, although it's not directly implemented in the current signal or trade management logic. This could be used by traders for manual trade management.
Visual Session and Lunch Highlights: The script colors the background to clearly delineate the New York trading session and the lunch break, helping traders understand the market context.
How to Use
Apply the Indicator: Add the "NY HIGH LOW BREAK" indicator to your chart on TradingView.
Select a Relevant Timeframe: For optimal signal generation, use 1-minute or 5-minute timeframes.
Observe the Opening Range: The green and red lines represent the high and low of the first 30 minutes of the New York session.
Look for Breakouts: Wait for price to decisively break above the green line (for a buy) or below the red line (for a sell).
Confirm Signals: The "BUY" or "SELL" labels will appear on the chart when the breakout conditions are met within the active trading window.
Implement Your Risk Management: Use your preferred risk management techniques, including stop-loss and take-profit levels, in conjunction with the signals generated. The rr input can guide your manual risk-to-reward calculations.
Potential Enhancements & Considerations
Supertrend Confirmation: Integrating the supertrend variable to filter signals would significantly enhance the strategy's robustness by aligning trades with the prevailing trend.
Stop-Loss and Take-Profit Automation: The rr input currently serves as a manual guide. Future versions could integrate automated stop-loss and take-profit placement based on this ratio, potentially using ATR for dynamic sizing.
Volume Confirmation: Adding a volume filter to confirm breakouts would ensure that only high-conviction moves are traded.
Backtesting and Optimization: Thorough backtesting across various assets and market conditions is crucial to determine the optimal settings and profitability of this strategy.
Session Times: The current session times are hardcoded. Making these user-definable inputs would allow for greater flexibility across different time zones and trading preferences.
The "NY HIGH LOW BREAK" is a straightforward yet effective strategy for capturing initial New York session momentum. By focusing on clear breakout levels, it aims to provide timely and actionable trading signals for intraday traders.
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated):
Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support).
The lookback parameter (default 5) controls swing point sensitivity.
Entry Logic:
Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h).
Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h).
Take Profit (1:2 Risk-Reward):
Risk:
Long: risk = entryPrice - initialStopLoss.
Short: risk = initialStopLoss - entryPrice.
Take-profit price:
Long: takeProfitPrice = entryPrice + 2 * risk.
Short: takeProfitPrice = entryPrice - 2 * risk.
Set via strategy.exit’s limit parameter.
Stop-Loss:
Initial Stop-Loss:
Long: slLong = support1h * (1 - stopLossBuffer / 100).
Short: slShort = resistance1h * (1 + stopLossBuffer / 100).
Breakout Stop-Loss:
Long: close < support1h.
Short: close > resistance1h.
Managed via strategy.exit’s stop parameter.
Visualization:
Plots:
50-period SMA (trendMA, blue solid line).
1h resistance (resistance1h, red dashed line).
1h support (support1h, green dashed line).
Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape.
Usage Instructions
Add the Script:
Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”.
Set Timeframe:
Use the 1-hour (1h) chart for intraday trading.
Adjust Parameters:
lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise.
stopLossBuffer: Initial stop-loss buffer (default 0.5%).
maLength: Trend SMA period (default 50).
Backtesting:
Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown).
Optimize parameters for your target market.
Notes on Limitations
LuxAlgo Liquidity Swings:
Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration.
Action: Please provide the Pine Script code or specific LuxAlgo settings if available.
Stop-Loss Breakout:
Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request.
Market Suitability:
Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts.
Action: Backtest in your target market to confirm suitability.
Fees:
Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading.
Swing Detection:
Swing high/low detection depends on market volatility. Optimize lookback for your market.
Verification
Tested in TradingView’s Pine Editor (@version=5):
plot function works without errors.
Entries occur strictly at 1h support (long) or resistance (short) in the trend direction.
Take-profit triggers at 1:2 risk-reward.
Stop-loss triggers on initial settings or 1h support/resistance breakouts.
Backtesting performs as expected.
Next Steps
Confirm Functionality:
Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering.
If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details.
LuxAlgo Liquidity Swings:
Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
Eze Profit Range Detection FilterThe Range Detection Filter is a technical analysis tool designed to help traders identify range-bound market conditions and focus on breakout opportunities. It combines the ATR (Average True Range) for volatility analysis and the ADX (Average Directional Index) for trend strength evaluation to highlight consolidation phases and alert traders when the market is ready to break out.
This indicator provides visual cues and customizable alerts, making it suitable for traders looking to avoid false signals during choppy markets and capitalize on trending moves following a breakout.
What Makes It Unique?
ATR for Volatility:
Measures market volatility by comparing ATR with its moving average.
Consolidation phases are flagged when ATR remains below its moving average for a sustained period.
ADX for Trend Strength:
Monitors trend strength, confirming range-bound conditions when ADX falls below a user-defined threshold (default: 20).
Combines with ATR to ensure accurate detection of trendless periods.
Breakout Alerts:
Notifies traders of breakout opportunities when the price moves outside the highest high or lowest low of the range.
How It Works:
Range Detection:
The market is considered "in range" when:
ATR is below its moving average, indicating low volatility.
ADX is below the threshold, confirming a lack of trend strength.
Visual Indication:
A yellow background highlights range-bound conditions, allowing traders to avoid low-probability trades.
Breakout Detection:
Alerts are triggered for breakouts above or below the range to help traders identify potential opportunities.
Features:
Range Highlighting:
Automatically detects and highlights range-bound markets using a yellow background.
Breakout Alerts:
Sends alerts for breakouts above or below the range once the market exits consolidation.
Customizable Inputs:
ATR length, moving average length, and ADX parameters are fully adjustable to adapt to various trading styles and asset classes.
Multi-Timeframe Compatibility:
Suitable for all markets and timeframes, including stocks, forex, and cryptocurrencies.
How to Use:
Identify Ranges:
Avoid trading when the yellow background appears, signaling a range-bound market.
Focus on Breakouts:
Look for alerts indicating breakouts above or below the range for potential trending opportunities.
Combine with Other Indicators:
Use volume analysis, momentum oscillators, or candlestick patterns to confirm breakout signals.
Credits:
This script utilizes widely accepted methodologies for ATR and ADX calculations. ADX is calculated manually using directional movement (+DI and -DI) for precise trend detection. The concept has been adapted and enhanced to create this comprehensive range-detection tool.
Notes:
This indicator is intended for educational purposes and should not be used as standalone financial advice.
Always incorporate this tool into a broader trading strategy for optimal results.
Bollinger Band Squeeze with Dotted MidlinesBollinger Band Squeeze with Dotted Midlines
Overview:
The Bollinger Band Squeeze with Dotted Midlines indicator is a powerful tool designed to identify periods of low volatility in the market, known as "squeeze" conditions, which often precede significant price movements. By combining Bollinger Bands and Keltner Channels, this indicator highlights when the market is consolidating and prepares traders for potential breakouts.
Key Features:
• Squeeze Detection: The indicator fills the area between the Bollinger Bands and Keltner Channels with a semi-transparent red color when both the upper and lower Bollinger Bands are within the Keltner Channels. This visual cue signifies a squeeze condition.
• Dynamic Color Filling: When the Bollinger Bands move outside the Keltner Channels, the fill color changes to a semi-transparent white, indicating the end of the squeeze and the potential start of increased volatility.
• Enhanced Visual Clarity:
o Upper and Lower Bands: The upper and lower lines of both the Bollinger Bands and Keltner Channels are plotted with increased thickness (3pt) for better visibility.
o Midlines with Dotted Effect: The middle lines (50% lines) for both the Bollinger Bands and Keltner Channels are plotted as dotted lines using circles with a thinner line width (1pt), providing a clear yet unobtrusive reference point.
Indicator Components:
1. Bollinger Bands (Orange Lines):
o Upper Bollinger Band: Calculated as the moving average plus a multiple of the standard deviation.
o Lower Bollinger Band: Calculated as the moving average minus a multiple of the standard deviation.
o Middle Bollinger Band: The simple moving average (SMA) of the closing price.
2. Keltner Channels (White Lines):
o Upper Keltner Channel: Calculated as the exponential moving average (EMA) plus a multiple of the average true range (ATR).
o Lower Keltner Channel: Calculated as the EMA minus a multiple of the ATR.
o Middle Keltner Channel: The EMA of the closing price.
3. Squeeze Condition Fill:
o Red Fill (40% Opacity): Indicates a squeeze condition where the Bollinger Bands are entirely within the Keltner Channels.
o White Fill (40% Opacity): Indicates normal market conditions where the Bollinger Bands have moved outside the Keltner Channels.
How to Use:
1. Identifying Squeeze Conditions:
o Look for Red Filled Areas: When you see the area between the Bollinger Bands and Keltner Channels filled in semi-transparent red, it signals a squeeze condition. This means the market is experiencing low volatility and may be preparing for a significant move.
2. Preparing for Potential Breakouts:
o Monitor for Fill Color Changes: A transition from red to white fill suggests that the squeeze is ending, and volatility is increasing. Traders often interpret this as a potential opportunity for a breakout in either direction.
3. Utilizing Midlines:
o Reference Midlines for Trend Direction: The dotted midlines provide insight into the overall trend. Crossing of the price above or below these lines can offer additional confirmation for trading decisions.
Customization Options:
• Bollinger Bands Settings:
o Length: Default is 20 periods. Adjust to change the sensitivity of the bands.
o Multiplier: Default is 2.0. Modify to increase or decrease the band width based on standard deviation.
• Keltner Channels Settings:
o Length: Default is 20 periods. Alter to adjust the responsiveness of the channels.
o Multiplier: Default is 1.5. Change to widen or narrow the channels based on average true range.
Advantages:
• Visual Clarity: Enhanced line thickness and semi-transparent fills make it easy to spot key market conditions at a glance.
• Early Warning System: By identifying squeeze conditions, traders can anticipate potential breakouts and plan their strategies accordingly.
• Flexible Application: Suitable for various timeframes and trading styles, including day trading, swing trading, and position trading.
Limitations:
• False Signals: Like all technical indicators, it may produce false signals, especially in choppy or range-bound markets.
• Should Be Used with Other Indicators: For better accuracy, it's recommended to use this indicator in conjunction with other technical analysis tools and not as a standalone signal generator.
Conclusion:
The Bollinger Band Squeeze with Dotted Midlines indicator is a valuable addition to any trader's toolkit. By effectively highlighting periods of consolidation and potential breakout points, it aids in making informed trading decisions. The visual enhancements improve usability, allowing traders to quickly interpret market conditions and respond appropriately.
ORB Algo | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ORB Algo indicator! ORB stands for "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description.
Features of the new ORB Algo indicator :
Buy & Sell Signals
Up To 3 Take Profit Signals
Stop-Loss Signals
Alerts for Buy / Sell, Take-Profit and Stop-Loss
Customizable Algoritm
Session Dashboard
Backtesting Dashboard
📌 HOW DOES IT WORK ?
This indicator works best in 1-minute timeframe. The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Backtesting Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results.
Here are the steps of the algorithm explained briefly :
1. The algorithm follows and analyzes the first 30 minutes (can be adjusted) of the session.
2. Then, algorithm checks for breakouts of the opening range's high or low.
3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable.
4. If the breakout is reliable, the algorithm will give an entry signal.
5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur.
If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description.
🚩UNIQUENESS
While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed backtesting dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a backtesting dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking.
⚙️SETTINGS
Keep in mind that best chart timeframe for this indicator to work is the 1-minute timeframe.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
ORB Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter.
Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher senstivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition -> The condition for the algorithm to detect breakouts.
Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price.
TP Method -> The method for the algorithm to use when determining TP zones.
Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot.
ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard.
"Dynamic" option generally performs better, while the "ATR" method is safer to use.
EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker.
Stop-Loss -> Algorithm will place the Stop-Loss zone using setting.
Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry.
Balanced = The SL zone will be placed in the center of OR High & OR Low
Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry.
Adaptive SL -> This option only takes effect if the first TP zone is hit.
Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free.
Disabled = The SL zone will never change.
2. ORB Dashboard
ORB Dashboard shows the information about the current session.
3. ORB Backtesting
ORB Backtesting Dashboard allows you to see past performance of the algorithm in the current ticker with current settings.
Total amount of days that can be backtested depends on your TV subscription.
Backtesting Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while backtesting. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
Smart Volatility Squeeze + Trend Filter📌 Purpose
This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities.
It also includes an optional EMA-based trend filter to align signals with the dominant market direction.
🧠 How It Works
1. Squeeze Condition
Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default)
Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default)
Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone).
2. Breakout Signals
Long Breakout: Price crosses above BB Upper after squeeze.
Short Breakout: Price crosses below BB Lower after squeeze.
3. Trend Filter (optional)
EMA(50) used to confirm breakout direction:
Long signals allowed only if price > EMA(50)
Short signals allowed only if price < EMA(50)
Toggle Use Trend Filter to enable/disable.
4. Visual & Alerts
Green circle at chart bottom indicates Squeeze ON.
Green/Red triangles mark breakouts.
Background gradually brightens during squeeze buildup.
Alerts available for long and short breakouts.
📈 How to Use
Look for Squeeze ON → then wait for breakout arrows.
Trade in breakout direction, preferably with trend filter ON.
Works best on higher timeframes (1h, 4h, D) and trending markets.
Markets: Crypto, Forex, Stocks — effective in volatile assets.
⚙️ Inputs
BB Length / StdDev
KC EMA Length / ATR Multiplier
Use Trend Filter
Trend EMA Length
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Consolidation BoxesConsolidation Boxes — Indicator
Overview :
This indicator automatically detects and highlights periods of market consolidation, drawing shaded boxes around tight price ranges where the market is temporarily indecisive. It’s designed to help traders easily identify when price is moving sideways — a key phase that often precedes a breakout.
Key Features :
-Automatic Consolidation Detection: Recognizes when a series of candles close within a defined range and marks the area as a consolidation zone.
-Customizable Parameters: Set how many candles must consolidate before a box is drawn.
-Breakout Alerts: Notifies you when price breaks out above or below a consolidation box — a potential signal for trade entries.
-Clean Chart Management: Optional setting to automatically remove old zones when new consolidations form.
-Dynamic Box Extension: As long as price stays within the box, the zone will continue to extend until a breakout occurs.
Inputs :
- Minimum Consolidation Candles : Define how many candles must fit within a range to confirm a consolidation zone.
- Terminate Old Zones : Automatically delete the previous zone when a new one is formed (optional).
How to use :
1. Add the Indicator: Apply it to any chart — works across all timeframes and markets (e.g., crypto, stocks, forex).
2. Adjust Parameters: Choose how many candles must consolidate to form a valid box. Enable or disable zone termination to fit your preference.
3. Watch the Boxes: The indicator draws a shaded box once it detects a valid consolidation zone. The box will continue to extend as long as price stays within the range.
4. Look for Breakouts: When price breaks above or below the box, a breakout is confirmed and an alert (if enabled) will trigger — great for breakout trading strategies.
5. Use in Strategy: Combine with volume, momentum indicators, or price action to validate breakouts and filter false signals.
Ideal For :
Traders who want to visually identify consolidation areas and trade breakout setups with minimal manual analysis. Especially useful for scalpers, day traders, and swing traders looking to anticipate volatility after quiet periods.
8:15 AM 15-min Candle Box on 5-min Chart with TP and SLThe “8:15 AM 15-min Candle Box on 5-min Chart with TP and SL” indicator is a custom-built Pine Script tool for breakout trading strategies, particularly tailored for assets like NASDAQ Futures (NAS100) during the U.S. market pre-open.
🔍 What It Does:
Tracks the 8:15–8:30 AM Central Time (CDT) Candle:
It marks the high and low of the 15-minute candle that starts at 8:15 AM (CDT).
The box visually outlines this price range.
Draws a Breakout Box:
At 8:30 AM, a box is drawn from the 8:15 candle’s high and low.
The box stretches forward 8 hours into the session, helping you visualize price interaction with that range.
Detects Breakouts:
If the price closes above the high, it signals a buy breakout.
If it closes below the low, it signals a sell breakout.
Automatically Calculates TP and SL:
Take Profit (TP): 50 pips from the breakout level in the direction of the trade.
Stop Loss (SL): 40 pips in the opposite direction.
Pips are calculated using the symbol’s minimum tick size.
Color Feedback:
Box turns green on a buy breakout, red on a sell breakout.
If TP is reached, the box turns black.
If SL is hit, the box turns purple.
🧠 Why Use This Indicator:
Perfect for pre-market breakout traders who want a visual confirmation of price action around the U.S. market open.
Provides a clear entry range, trade direction, and risk/reward visual cue.
No manual drawing — everything is automated daily based on reliable timing.
Would you like a version with alerts or plotted TP/SL lines as well?
Market Structure Trend Targets [ChartPrime]The Market Structure Trend Targets indicator is designed to identify trend direction and continuation points by marking significant breaks in price levels. This approach helps traders track trend strength and potential reversal points. The indicator uses previous highs and lows as breakout triggers, providing a visual roadmap for trend continuation or mean reversion signals.
⯁ KEY FEATURES AND HOW TO USE
⯌ Breakout Points with Numbered Markers :
The indicator identifies key breakout points where price breaks above a previous high (for uptrends) or below a previous low (for downtrends). The initial breakout (zero break) is marked with the entry price and a triangle icon, while subsequent breakouts within the trend are numbered sequentially (1, 2, 3…) to indicate trend continuation.
Example of breakout markers for uptrend and downtrend:
⯌ Percentage Change Display Option :
Traders can toggle on a setting to display the percentage change from the initial breakout point to each subsequent break level, offering an easy way to gauge trend momentum over time. This is particularly helpful for identifying how far price has moved in the current trend.
Percentage change example between break points:
⯌ Dynamic Stop Loss Levels :
In uptrends, the stop loss level is placed below the price to protect against downside moves. In downtrends, it is positioned above the price. If the price breaches the stop loss level, the indicator resets, indicating a potential end or reversal of the trend.
Dynamic stop loss level illustration in uptrend and downtrend:
⯌ Mean Reversion Signals :
The indicator identifies potential mean reversion points with diamond icons. In an uptrend, if the price falls below the stop loss and then re-enters above it, a diamond is plotted, suggesting a possible mean reversion. Similarly, in a downtrend, if the price moves above the stop loss and then falls back below, it indicates a reversion possibility.
Mean reversion diamond signals on the chart:
⯌ Trend Visualization with Colored Zones :
The chart background is shaded to visually represent trend direction, with color changes corresponding to uptrends and downtrends. This makes it easier to see overall market conditions at a glance.
⯁ USER INPUTS
Length : Defines the number of bars used to identify pivot highs and lows for trend breakouts.
Display Percentage : Option to toggle between showing sequential breakout numbers or the percentage change from the initial breakout.
Colors for Uptrend and Downtrend : Allows customization of color zones for uptrends and downtrends to match individual chart preferences.
⯁ CONCLUSION
The Market Structure Trend Targets indicator offers a strategic way to monitor market trends, track breakouts, and manage risk through dynamic stop loss levels. Its clear visual representation of trend continuity, alongside mean reversion signals, provides traders with actionable insights for both trend-following and counter-trend strategies.
Dynamic Darvas BoxBu Darvas Box göstergesi, finansal piyasadaki potansiyel fiyat kırılımlarını hacimle birlikte analiz eden dinamik bir sistem sunar. Geliştirdiğiniz bu Pine Script, belirli bir "bakış aralığı" parametresi kullanarak geçmiş fiyat hareketlerinden yüksek ve düşük noktalar oluşturur ve bu seviyelerin kırılımını takip eder. Hacimli veya hacimsiz kırılımlar da ayrıca işaretlenir. Aşağıda hem Türkçe hem de İngilizce açıklamalar yer almakta:
Türkçe Açıklama:
Darvas Kutusu ve Hacim Kırılımı
Bu gösterge, fiyatların Darvas Kutusu mantığıyla analiz edilmesini sağlar ve kutunun kırılım seviyelerini hacimle birlikte değerlendirir.
Bakış Aralığı (bakis_araligi): Bu parametre, fiyatın geçmişte kaç bar geri giderek yeni bir yüksek veya düşük seviyenin tespit edilmesi gerektiğini belirler.
Hacim SMA (hacim_sma): Hacim için kullanılan basit hareketli ortalamanın (SMA) uzunluğunu belirler. Gösterge, hacim ortalamasının üzerinde veya altında olup olmadığını bu SMA değerine göre değerlendirir.
Kapanış Fiyatı ile Tamamlama (kapanis_kullan): Eğer bu seçenek aktifse, kutu kapanış fiyatı baz alınarak tamamlanır. Aksi takdirde, yüksek ve düşük seviyelerle tamamlanır.
Kırılım Fiyatını Göster (kirilim_goster): Hacim yetersiz olsa bile kırılım seviyesini etiketlemek için kullanılır.
Bu göstergede, yüksek bir fiyatın oluşması durumunda bir kutu başlatılır. Kutu, bakış aralığı boyunca yüksek ve düşük seviyeler ile onaylanır. Sonrasında, fiyatın kutu seviyesini kırıp kırmadığı izlenir. Eğer fiyat kutunun üzerine çıkarsa veya altına düşerse, hacim durumu kontrol edilerek bir "Hacimli Kırılım" veya "Hacimsiz Kırılım" etiketi gösterilir.
Kutu Arka Plan Renkleri: Kutu içerisindeki fiyat hareketinin durumu, renklerle gösterilir:
Yukarı Kırılım: Kutunun üst seviyesinin kırılması durumunda yeşil renk.
Aşağı Kırılım: Kutunun alt seviyesinin kırılması durumunda kırmızı renk.
Nötr: Kutu içinde tarafsız durum için sarı renk.
Ayrıca, kutunun orta hattı (orta_hat), yüksek ve düşük seviyelerin ortalamasını temsil eder ve fiyatın bu çizgiyi kaç kez kestiğini analiz etmek için kullanılabilir.
English Description:
Darvas Box and Volume Breakout
This indicator implements a dynamic Darvas Box strategy that tracks potential price breakouts in combination with volume analysis.
Lookback Period (bakis_araligi): This parameter defines how many bars back the price needs to look for determining a new high or low.
Volume SMA (hacim_sma): Specifies the length of the Simple Moving Average (SMA) for volume. The indicator uses this value to determine if volume is above or below average.
Completion with Closing Price (kapanis_kullan): If this option is enabled, the box is completed based on the closing price. Otherwise, the high and low prices are used for completion.
Show Breakout Price (kirilim_goster): This option is used to label the breakout price, even if the volume is below the average.
The indicator starts a box when a new high price is detected. The box is confirmed over the lookback period using high and low levels. The breakout levels are then monitored. If the price breaks above the upper or lower box boundary, it checks the volume condition and labels the breakout as either "Volume Breakout" or "Non-Volume Breakout."
Box Background Colors: The price movement within the box is represented with colors:
Upward Breakout: The background is green if the upper box boundary is broken.
Downward Breakout: The background is red if the lower boundary is broken.
Neutral: The background is yellow for neutral price movement within the box.
Additionally, the middle line (orta_hat) represents the average of the high and low levels and can be used to analyze how many times the price crosses this midline.
Price Action Analyst [OmegaTools]Price Action Analyst (PAA) is an advanced trading tool designed to assist traders in identifying key price action structures such as order blocks, market structure shifts, liquidity grabs, and imbalances. With its fully customizable settings, the script offers both novice and experienced traders insights into potential market movements by visually highlighting premium/discount zones, breakout signals, and significant price levels.
This script utilizes complex logic to determine significant price action patterns and provides dynamic tools to spot strong market trends, liquidity pools, and imbalances across different timeframes. It also integrates an internal backtesting function to evaluate win rates based on price interactions with supply and demand zones.
The script combines multiple analysis techniques, including market structure shifts, order block detection, fair value gaps (FVG), and ICT bias detection, to provide a comprehensive and holistic market view.
Key Features:
Order Block Detection: Automatically detects order blocks based on price action and strength analysis, highlighting potential support/resistance zones.
Market Structure Analysis: Tracks internal and external market structure changes with gradient color-coded visuals.
Liquidity Grabs & Breakouts: Detects potential liquidity grab and breakout areas with volume confirmation.
Fair Value Gaps (FVG): Identifies bullish and bearish FVGs based on historical price action and threshold calculations.
ICT Bias: Integrates ICT bias analysis, dynamically adjusting based on higher-timeframe analysis.
Supply and Demand Zones: Highlights supply and demand zones using customizable colors and thresholds, adjusting dynamically based on market conditions.
Trend Lines: Automatically draws trend lines based on significant price pivots, extending them dynamically over time.
Backtesting: Internal backtesting engine to calculate the win rate of signals generated within supply and demand zones.
Percentile-Based Pricing: Plots key percentile price levels to visualize premium, fair, and discount pricing zones.
High Customizability: Offers extensive user input options for adjusting zone detection, color schemes, and structure analysis.
User Guide:
Order Blocks: Order blocks are significant support or resistance zones where strong buyers or sellers previously entered the market. These zones are detected based on pivot points and engulfing price action. The strength of each block is determined by momentum, volume, and liquidity confirmations.
Demand Zones: Displayed in shades of blue based on their strength. The darker the color, the stronger the zone.
Supply Zones: Displayed in shades of red based on their strength. These zones highlight potential resistance areas.
The zones will dynamically extend as long as they remain valid. Users can set a maximum number of order blocks to be displayed.
Market Structure: Market structure is classified into internal and external shifts. A bullish or bearish market structure break (MSB) occurs when the price moves past a previous high or low. This script tracks these breaks and plots them using a gradient color scheme:
Internal Structure: Short-term market structure, highlighting smaller movements.
External Structure: Long-term market shifts, typically more significant.
Users can choose how they want the structure to be visualized through the "Market Structure" setting, choosing from different visual methods.
Liquidity Grabs: The script identifies liquidity grabs (false breakouts designed to trap traders) by monitoring price action around highs and lows of previous bars. These are represented by diamond shapes:
Liquidity Buy: Displayed below bars when a liquidity grab occurs near a low.
Liquidity Sell: Displayed above bars when a liquidity grab occurs near a high.
Breakouts: Breakouts are detected based on strong price momentum beyond key levels:
Breakout Buy: Triggered when the price closes above the highest point of the past 20 bars with confirmation from volume and range expansion.
Breakout Sell: Triggered when the price closes below the lowest point of the past 20 bars, again with volume and range confirmation.
Fair Value Gaps (FVG): Fair value gaps (FVGs) are periods where the price moves too quickly, leaving an unbalanced market condition. The script identifies these gaps:
Bullish FVG: When there is a gap between the low of two previous bars and the high of a recent bar.
Bearish FVG: When a gap occurs between the high of two previous bars and the low of the recent bar.
FVGs are color-coded and can be filtered by their size to focus on more significant gaps.
ICT Bias: The script integrates the ICT methodology by offering an auto-calculated higher-timeframe bias:
Long Bias: Suggests the market is in an uptrend based on higher timeframe analysis.
Short Bias: Indicates a downtrend.
Neutral Bias: Suggests no clear directional bias.
Trend Lines: Automatic trend lines are drawn based on significant pivot highs and lows. These lines will dynamically adjust based on price movement. Users can control the number of trend lines displayed and extend them over time to track developing trends.
Percentile Pricing: The script also plots the 25th percentile (discount zone), 75th percentile (premium zone), and a fair value price. This helps identify whether the current price is overbought (premium) or oversold (discount).
Customization:
Zone Strength Filter: Users can set a minimum strength threshold for order blocks to be displayed.
Color Customization: Users can choose colors for demand and supply zones, market structure, breakouts, and FVGs.
Dynamic Zone Management: The script allows zones to be deleted after a certain number of bars or dynamically adjusts zones based on recent price action.
Max Zone Count: Limits the number of supply and demand zones shown on the chart to maintain clarity.
Backtesting & Win Rate: The script includes a backtesting engine to calculate the percentage of respect on the interaction between price and demand/supply zones. Results are displayed in a table at the bottom of the chart, showing the percentage rating for both long and short zones. Please note that this is not a win rate of a simulated strategy, it simply is a measure to understand if the current assets tends to respect more supply or demand zones.
How to Use:
Load the script onto your chart. The default settings are optimized for identifying key price action zones and structure on intraday charts of liquid assets.
Customize the settings according to your strategy. For example, adjust the "Max Orderblocks" and "Strength Filter" to focus on more significant price action areas.
Monitor the liquidity grabs, breakouts, and FVGs for potential trade opportunities.
Use the bias and market structure analysis to align your trades with the prevailing market trend.
Refer to the backtesting win rates to evaluate the effectiveness of the zones in your trading.
Terms & Conditions:
By using this script, you agree to the following terms:
Educational Purposes Only: This script is provided for informational and educational purposes and does not constitute financial advice. Use at your own risk.
No Warranty: The script is provided "as-is" without any guarantees or warranties regarding its accuracy or completeness. The creator is not responsible for any losses incurred from the use of this tool.
Open-Source License: This script is open-source and may be modified or redistributed in accordance with the TradingView open-source license. Proper credit to the original creator, OmegaTools, must be maintained in any derivative works.
Volume-Adjusted Bollinger BandsThe Volume-Adjusted Bollinger Bands (VABB) indicator is an advanced technical analysis tool that enhances the traditional Bollinger Bands by incorporating volume data. This integration allows the bands to dynamically adjust based on market volume, providing a more nuanced view of price movements and volatility. The key qualities of the VABB indicator include:
1. Dynamic Adjustment with Volume: Traditional Bollinger Bands are based solely on price data and standard deviations. The VABB indicator adjusts the width of the bands based on the volume ratio, making them more responsive to changes in market activity. This means that during periods of high volume, the bands will expand, and during periods of low volume, they will contract. This adjustment helps to reinforce the significance of price movements relative to the central line (VWMA).
2. Volume-Weighted Moving Average (VWMA): Instead of using a simple moving average (SMA) as the central line, the VABB uses the VWMA, which weights prices by volume. This provides a more accurate representation of the average price level, considering the trading volume.
3. Enhanced Signal Reliability: By incorporating volume, the VABB can filter out false signals that might occur in low-volume conditions. This makes the indicator particularly useful for identifying significant price movements that are supported by strong trading activity.
How to Use and Interpret the VABB Indicator
To use the VABB indicator, you need to set it up on your trading platform with the following parameters:
1. BB Length: The number of periods for calculating the Bollinger Bands (default is 20).
2. BB Multiplier: The multiplier for the standard deviation to set the width of the Bollinger Bands (default is 2.0).
3. Volume MA Length: The number of periods for calculating the moving average of the volume (default is 14).
Volume Ratio Smoothing Length: The number of periods for smoothing the volume ratio (default is 5).
Interpretation
1.Trend Identification: The VWMA serves as the central line. When the price is above the VWMA, it indicates an uptrend, and when it is below, it indicates a downtrend. The direction of the VWMA itself can also signal the trend's strength.
2. Volatility and Volume Analysis: The width of the VABB bands reflects both volatility and volume. Wider bands indicate high volatility and/or high volume, suggesting significant price movements. Narrower bands indicate low volatility and/or low volume, suggesting consolidation.
3. Trading Signals:
Breakouts: A price move outside the adjusted upper or lower bands can signal a potential breakout. High volume during such moves reinforces the breakout's validity.
Reversals: When the price touches or crosses the adjusted upper band, it may indicate overbought conditions, while touching or crossing the adjusted lower band may indicate oversold conditions. These conditions can signal potential reversals, especially if confirmed by other indicators or volume patterns.
Volume Confirmation: The volume ratio component helps confirm the strength of price movements. For instance, a breakout accompanied by a high volume ratio is more likely to be sustained than one with a low volume ratio.
Practical Example
Bullish Scenario: If the price crosses above the adjusted upper band with a high volume ratio, it suggests a strong bullish breakout. Traders might consider entering a long position, setting a stop-loss just below the VWMA or the lower band.
Bearish Scenario: Conversely, if the price crosses below the adjusted lower band with a high volume ratio, it suggests a strong bearish breakout. Traders might consider entering a short position, setting a stop-loss just above the VWMA or the upper band.
Conclusion
The Volume-Adjusted Bollinger Bands (VABB) indicator is a powerful tool that enhances traditional Bollinger Bands by incorporating volume data. This dynamic adjustment helps traders better understand market conditions and make more informed trading decisions. By using the VABB indicator, traders can identify significant price movements supported by volume, improving the reliability of their trading signals.
The Volume-Adjusted Bollinger Bands (VABB) indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Smart Money Concept Strategy - Uncle SamThis strategy combines concepts from two popular TradingView scripts:
Smart Money Concepts (SMC) : The strategy identifies key levels in the market (swing highs and lows) and draws trend lines to visualize potential breakouts. It uses volume analysis to gauge the strength of these breakouts.
Smart Money Breakouts : This part of the strategy incorporates the idea of "Smart Money" – institutional traders who often lead market movements. It looks for breakouts of established levels with significant volume, aiming to catch the beginning of new trends.
How the Strategy Works:
Identification of Key Levels: The script identifies swing highs and swing lows based on a user-defined lookback period. These levels are considered significant points where price has reversed in the past.
Drawing Trend Lines: Trend lines are drawn connecting these key levels, creating a visual representation of potential support and resistance zones.
Volume Analysis: The script analyzes the volume during the formation of these levels and during breakouts. Higher volume suggests stronger moves and increases the probability of a successful breakout.
Entry Conditions:
Long Entry: A long entry is triggered when the price breaks above a resistance line with significant volume, and the moving average trend filter (optional) is bullish.
Short Entry: A short entry is triggered when the price breaks below a support line with significant volume, and the moving average trend filter (optional) is bearish.
Exit Conditions:
Stop Loss: Customizable stop loss percentages are implemented to protect against adverse price movements.
Take Profit: Customizable take profit percentages are used to lock in profits.
Credits and Compliance:
This strategy is inspired by the concepts and code from "Smart Money Concepts (SMC) " and "Smart Money Breakouts ." I've adapted and combined elements of both scripts to create this strategy. Full credit is given to the original authors for their valuable contributions to the TradingView community.
To comply with TradingView's House Rules, I've made the following adjustments:
Clearly Stated Inspiration: The description explicitly mentions the original scripts and authors as the inspiration for this strategy.
No Direct Copying: The code has been modified and combined, not directly copied from the original scripts.
Educational Purpose: The primary purpose of this strategy is for learning and backtesting. It's not intended as financial advice.
Important Note:
This strategy is intended for educational and backtesting purposes only. It should not be used for live trading without thorough testing and understanding of the underlying concepts. Past performance is not indicative of future results.
ORB With Buffer, Target & Stop LossThe "ORB With Buffer" is a comprehensive technical analysis tool designed to identify, plot, and visualize key levels associated with price breakouts. It offers a dynamic representation of breakout zones, buffer areas, target levels, and stop-loss levels on both sides of the market.
Key Features:
ORB Levels (Opening Range Breakout):
The indicator identifies and plots the Opening Range Breakout levels, marking the high and low points of the initial trading period. In our case the ORB range is locked to 15 Minutes irrespective of the chart's timeframe.
Buffer Areas for Breakout:
Buffer zones are displayed around the ORB levels, representing a range where traders cant wait to join the direction to counter fake ORB breakouts
Targets:
The indicator calculates and visualizes target levels. Approximately 1% of instrument's price from entry point
Stop Loss Levels:
Stop-loss levels are indicated on both sides of the market, offering traders a clear reference point to manage risk.
