If I wanted to setup a screener to identify consolidations before breakouts, what would be some good settings?

``` The deep research logic is organized as follows: Okay, let's tackle this question about setting up a screener for consolidations before breakouts. The user wants to know the best settings for identifying these patterns. First, I need to recall the references provided. From the references, there are several key points. The user is interested in consolidations, which are periods where the market pauses before a breakout. The main criteria mentioned include price range percentage, volume thresholds, duration, and breakout confirmation. Looking at the references, Number 2 and 4 discuss scanning for consolidations and breakouts. They mention four conditions: consolidation, prior trend, breakout, and volume. Also, Number 10 and 14 have specific queries related to screener settings, which include price range percentage, volume thresholds, duration, and breakout criteria. The user's profile shows they're interested in the NASDAQ Composite, so the answer should focus on settings applicable to that index. They prefer technical analysis and a long-term approach, so the settings should be robust and reliable for identifying high-probability breakouts. I need to structure the answer with a conclusion first, then detailed analysis. The conclusion should summarize the key settings. The detailed analysis should break down each setting, supported by the references. Also, include a table for clarity and a visualization for the query results. Make sure to cite the references correctly using [^Number]. Also, check if any of the queries in the references need a visualization. The query in Number 10 and 14 are relevant, so include the visual tags after the relevant sections. I should also consider the user's moderate risk tolerance and long-term horizon, so the settings should prioritize stability and avoid false signals. Putting it all together, the answer should start with a conclusion, then explain each setting with examples from the references, and include the necessary tables and visualizations. Ensure the language is clear and the structure follows the format requirements. ``` ### 🚀 **Conclusion** To set up a **screener for consolidations before breakouts**, focus on **price range percentage**, **volume thresholds**, **duration criteria**, and **breakout confirmation**. These settings help filter high-probability setups while minimizing false signals. Below is a detailed guide based on technical analysis principles and market data. --- ### 📊 **Optimal Screener Settings for Consolidation Breakouts** #### 1. **Price Range Percentage** - **Criteria**: Look for stocks trading within a **narrow range (1-5%)** relative to their 50-day or 200-day moving average . - **Why**: Narrow ranges indicate consolidation and potential breakout pressure. - **Example**: A stock with a 50-day MA of $100 and a current range of $98–$102 (2% range) is consolidating. | **Setting** | **Description** | |-------------|------------------| | Range Width | 1-5% of 50-day MA | | Lookback Period | 20-50 days | #### 2. **Volume Thresholds** - **Criteria**: Filter for stocks with **volume spikes (20-50% above average)** during consolidation . - **Why**: High volume confirms institutional interest and breakout potential. - **Example**: A stock with average daily volume of 1M shares and recent trading at 1.5M–2M shares. | **Setting** | **Description** | |-------------|------------------| | Volume Surge | 20-50% above 20-day average | | Minimum Volume | 500K shares (for liquidity) | #### 3. **Duration Criteria** - **Criteria**: Focus on consolidations lasting **1-3 weeks** (10-20 trading days) . - **Why**: Shorter consolidations reduce false breakout risk, while longer periods build pressure. - **Example**: A stock consolidating since July 2025 (10 trading days). | **Setting** | **Description** | |-------------|------------------| | Consolidation Period | 10-20 days | | Breakout Window | Next 5-10 days | #### 4. **Breakout Confirmation** - **Criteria**: Require a **clean breakout** above resistance with **volume surge (50-100% increase)** . - **Why**: Confirms breakout validity and reduces false signals. - **Example**: A stock breaks above $100 resistance with 1M shares traded (double average volume). | **Setting** | **Description** | |-------------|------------------| | Breakout Signal | Price closes above resistance | | Volume Confirmation | 50-100% above average | --- ### 📊 **Example Screener Filters** Here’s how to implement these settings in a stock screener: | **Filter** | **Criteria** | |------------|--------------| | Price Range | 1-5% of 50-day MA | | Volume Surge | 20-50% above 20-day average | | Consolidation Period | 10-20 days | | Breakout Signal | Price closes above resistance | --- ### 📊 **Why These Settings Work** - **Narrow Ranges**: Identify stocks with low volatility and high breakout potential. - **Volume Thresholds**: Filter out low-liquidity traps and confirm institutional interest. - **Duration Criteria**: Balance between short-term setups and long-term consolidation. - **Breakout Confirmation**: Reduce false signals by requiring price and volume alignment. --- ### 📊 **Final Tips for NASDAQ Investors** - **Focus on Growth Stocks**: NASDAQ stocks like **AMD**, **EVOK**, and **VRTX** often show consolidation before breakouts . - **Use Historical Data**: Backtest these settings on past NASDAQ breakouts (e.g., **$105K-$110K Bitcoin consolidation** ). - **Stay Disciplined**: Avoid chasing setups without clear breakout confirmation. technical analysis parameters for flag pattern screeners: flagpole/flag volume ratio, slope angle, time frame |code|stock code|stock name|Last Price|Last Change|Volume Ratio[20250801]|Ma Angle[20250801]|Bullish Flag[20250801]|market_code| |---|---|---|---|---|---|---|---|---| |COCP|COCP.O|Cocrystal Pharma|1.85|6.9364159999999995|40.2896|71.2865|True|186| |SNSE|SNSE.O|Sensei|10.325|38.034759|14.8544|83.9299|True|186| |ANTE|ANTE.O|AirNet Technology|1.84|14.285713999999999|11.3161|81.1041|True|186| |EVOK|EVOK.O|Evoke Pharma|4.6901|29.203857|6.5747|52.1386|True|186| |ENGS|ENGS.O|Energys Group|3.11|-1.582278|6.315|27.3297|True|186| |RADX|RADX.O|Radiopharm|5.35|13.829787|5.9935|69.7524|True|186| |AAME|AAME.O|Atlantic American|2.2458|-1.7155360000000002|5.5059|-12.1807|True|185| |BTBD|BTBD.O|BT Brands|1.64|10.067114|5.2407|78.7685|True|186| |CPS|CPS.N|Cooper-standard Holdings|26.34|9.294606|5.0685|59.4184|True|169| |EEIQ|EEIQ.O|EpicQuest Education|0.6249|-2.81493|4.7306|-18.7329|True|186| screener settings for consolidation breakout patterns: price range percentage, volume thresholds, duration criteria |code|stock code|stock name|Latest Last Price|Latest Percentage Change|Trading Volume[20250801]|Price Up in a Row[20250801]|market_code| |---|---|---|---|---|---|---|---| |HIMS|HIMS.N|Hims & Hers Health|62.55|-5.48504079782413|2.6736425E7|5|169| |ORCL|ORCL.N|Oracle|244.42|-3.684438664932822|1.2718218E7|7|169| |ANET|ANET.N|Arista Networks|117.57|-4.585294595033279|1.1560575E7|7|169| |VRT|VRT.N|Vertiv Holdings|141.59|-2.754120879120873|1.1014995E7|7|169| |WDC|WDC.O|Western Digital|76.55|-2.7195323421019197|8789789|4|185| |SKX|SKX.N|Skechers U.S.A.|63.0|-0.3952569169960474|7925579|4|169| |CTRA|CTRA.N|Coterra Energy|23.7|-2.829028290282908|6986056|4|169| |NET|NET.N|Cloudflare|200.11|-3.6450308166409826|6449383|6|169| |AR|AR.N|Antero Resources|33.67|-3.6072144288577097|6071456|4|169| |GLW|GLW.N|Corning|62.05|-1.8817204301075345|5845644|4|169|