Candle-pattern — Indicators and Strategies

by AGProLabs

AG Pro Inside Bar Breakout Quality [AGPro Series]AG Pro Inside Bar Breakout Quality Overview / What it does AG Pro Inside Bar Breakout Quality is an overlay tool built to study one of the market’s most familiar compression structures: the inside bar. Instead of stopping at simple detection, the script evaluates what happens after the pattern forms and grades the breakout attempt with a structured quality model. The result is a workflow-oriented view of inside bar compression, breakout strength, and failed continuation behavior. The script first identifies a strict inside bar condition, where the current bar remains fully contained within the previous bar’s range. That parent range becomes the active reference zone. From there, the script monitors whether price resolves above or below the structure, whether the move is confirmed by close, whether volume supports the breakout, and whether the breakout later fails and re-enters the range within a user-defined window. This is not designed as a generic “any breakout” marker. Its purpose is narrower and more specific: it focuses on a compact volatility contraction event, then measures how decisively price leaves that compression. In practical chart work, this helps separate a low-commitment range poke from a more convincing expansion move. The visual presentation is intentionally structured. Inside bar zones are boxed, breakout direction is marked, quality is scored, and fakeouts are labeled when the breakout reverses back into the monitored range. This makes the script suitable for traders who want a cleaner way to inspect inside bar behavior without manually drawing every structure. Unique Edge The main difference here is that the script does not treat every inside bar break as equally meaningful. Many tools stop at “pattern detected” or “level broken.” This script adds a second layer: breakout quality. That layer is derived from close position, volume context, candle body participation, and alignment with the parent candle’s directional bias. A second differentiator is the built-in fakeout logic. After a breakout is detected, the script continues to watch price for a limited number of bars. If the move quickly returns back through the breakout boundary, the event is tagged as a fakeout. This adds post-event context instead of only marking the first directional move. Another distinction is that the methodology is deterministic and chart-native. The logic is rule-based, visible, and reproducible from bar to bar. Users can decide whether to require close confirmation beyond the inside bar range, whether to require volume confirmation, and how strict they want the displayed threshold to be through the minimum score filter. In short, this script is not only about finding compression. It is about ranking the quality of the expansion attempt that follows the compression, while also acknowledging that some breakouts fail quickly and should be read differently. Methodology 1) Inside Bar Detection An inside bar is identified when the current bar’s high is lower than the previous bar’s high and the current bar’s low is higher than the previous bar’s low. This creates a strict containment definition based on the previous candle’s full range. 2) Reference Zone Once an inside bar is detected, the prior candle becomes the parent reference bar. Its high and low define the active breakout boundaries. That range can be visualized as a box, with an optional midpoint line to make the compression zone easier to read on chart. 3) Breakout Confirmation A bullish breakout occurs when price moves above the parent high. A bearish breakout occurs when price moves below the parent low. Users can choose whether breakout confirmation should be based on close beyond the range or on a less restrictive intrabar break condition. 4) Quality Score Each breakout can be scored on a 0–10 scale. The score is built from multiple components: - close position relative to the inside bar boundary - volume ratio versus the selected moving average - body participation within the breakout candle’s total range - directional alignment between the breakout and the parent candle bias This scoring model is designed to estimate how committed the breakout candle appears, rather than assuming all breaks have equal informational value. 5) Fakeout Detection If enabled, the script monitors a user-defined number of bars after breakout. A bullish breakout that returns back below the upper boundary within that window is labeled as a bull trap / fakeout. A bearish breakout that returns back above the lower boundary within that window is labeled as a bear trap / fakeout. 6) Visual Layer The script can display the inside bar zone, midpoint, breakout arrows, score labels, and fakeout markers. A summary panel tracks aggregate statistics such as total inside bars, total breakouts, breakout direction counts, fakeouts, and the latest breakout score. Signals & Alerts The script can provide alert conditions for: - bullish inside bar breakout - bearish inside bar breakout - fakeout detection - high-quality breakout events - any breakout event These alerts are intended to help users monitor the pattern and its resolution more efficiently. They do not replace trade planning, confirmation from broader market context, or independent risk management. Key Inputs Min Score to Show Breakout Filters displayed breakout labels by quality threshold. This can be useful for reducing low-quality visual noise. Volume Confirmation Required When enabled, breakout evaluation requires volume to be above its moving average threshold. This can help remove low-participation breaks. Volume MA Period Defines the lookback length for average volume comparison. Require Close Beyond IB When enabled, breakout confirmation depends on bar close beyond the parent range. This creates a more conservative and more stable breakout definition. Max IBs to Display Controls how many recent structures and related objects remain visible on chart. Show IB Box / Midline / Breakout Arrow / Score Label Lets users decide how much visual detail they want to keep on screen. Glow Effect on High Score Adds emphasis to stronger breakout events without changing the underlying logic. Fakeout Window Defines how many bars after breakout the script should continue monitoring for a return back through the breakout boundary. Limitations & Transparency This script studies inside bar compression and subsequent breakout behavior. It does not claim to identify all meaningful consolidations, and it does not attempt to classify every market regime. The methodology is intentionally focused on one structure. The score is a rule-based quality model, not an objective measure of future outcome. A high score does not guarantee continuation, and a lower score does not guarantee failure. It simply reflects how the breakout candle and its context behave according to the script’s internal criteria. Volume-based interpretation may vary across symbols and markets. On some instruments, especially those with inconsistent or synthetic volume data, volume confirmation may be less informative than on others. Users should evaluate whether volume filtering is appropriate for the asset they are studying. Fakeout detection is also definition-dependent. The script labels a fakeout when price returns through the breakout boundary within the selected lookback window. Different traders may prefer a different timing window or a different failure definition. As with any overlay, chart readability depends on market volatility, timeframe, and user settings. On lower timeframes or during highly active periods, more visual events may appear. The built-in filters and display controls are there to help manage that density. Risk Disclosure This script is an analytical tool for chart study. It is not financial advice, not a trade recommendation, and not a promise of future results. Inside bar breakouts can behave differently across timeframes, instruments, and market regimes. Users should not rely on a single pattern, score, or alert in isolation. Context still matters, including trend condition, liquidity environment, nearby structure, volatility regime, and execution discipline. Before using this script in any live decision process, it should be reviewed in the specific market and timeframe relevant to the user’s own approach. Testing, observation, and risk controls remain essential.

by AGProLabs

AG Pro Pin Bar Quality Filter [AGPro Series]AG Pro Pin Bar Quality Filter Overview / What it does AG Pro Pin Bar Quality Filter is a price-action overlay built to detect pin bar candles and then separate higher-quality rejection candles from weaker or noisier ones. The script does not treat every long-wick candle as equally meaningful. Instead, it evaluates the internal candle structure first, then applies a compact quality framework around volume, recent momentum, and local support/resistance context. The result is a filtered pin bar workflow designed for traders who want cleaner chart annotation rather than a raw pattern dump. This tool focuses on one specific job: identifying rejection candles with a measurable structure and presenting them with a readable quality label directly on the chart. It is intended to help users inspect potential reaction points, not to replace broader market context or execution rules. The visual design is intentionally simple at the core: pin bar body highlighting, wick emphasis, directional markers, and compact quality labels. This makes the script suitable for traders who want candle-based context without converting the chart into a full market-structure dashboard. Unique Edge The distinctive feature of this script is that it does not stop at pattern detection. A standard pin bar script often marks candles only because they have a long wick. This script goes further by checking whether the wick is large enough relative to the body, whether the body itself is small enough relative to the full candle range, and whether one wick clearly dominates the other. That combination helps reduce ambiguous candles that visually resemble pin bars but do not express clean rejection. After the structural test, the script applies a three-part quality model: - volume confirmation - momentum context - support/resistance proximity This creates a practical quality hierarchy rather than a binary pattern label. In other words, the script is not only asking “Is this a pin bar?” but also “How much contextual support does this pin bar have?” An optional piercing check is also available for users who want stricter validation. This adds another layer of selectivity by requiring the candle body to show stronger positional behavior relative to the prior bar. Methodology The script starts by measuring the current candle: - candle body size - full candle range - upper wick length - lower wick length - dominant wick versus body ratio A raw pin bar candidate requires: - a minimum wick/body ratio - a maximum body percentage of full range - directional wick dominance This helps define whether the candle is a legitimate bullish or bearish rejection structure. Bullish pin logic is based on lower-wick dominance. Bearish pin logic is based on upper-wick dominance. Once a raw pin bar is detected, the script evaluates three contextual filters. 1) Volume filter The current volume can be compared against a moving average of volume. This helps identify candles that form with relatively stronger participation. 2) Momentum confirmation The script can check whether recent candles were moving in the opposite direction of the current pin bar. For example, a bullish pin bar becomes more meaningful when it forms after short-term downward pressure, while a bearish pin bar becomes more meaningful after short-term upward pressure. 3) Support / resistance proximity The script tracks pivot-based reference levels and checks whether the pin bar forms close to a recent local support or resistance area, using an ATR-based distance threshold. Each passed filter contributes to the final quality score. This produces a compact tiered output instead of a single undifferentiated signal stream. Signals & Alerts The script can identify: - bullish pin bars - bearish pin bars - higher-quality pin bars based on the selected minimum score Visual elements may include: - body highlighting on detected pin bars - wick emphasis - directional arrow markers - quality labels with contextual details - an information panel summarizing the active state The quality label can display the signal tier and relevant confirmations such as: - wick/body ratio - volume confirmation - momentum confirmation - support/resistance proximity Alert conditions are available for: - bullish pin bars - bearish pin bars - prime-quality pin bars - any valid pin bar that meets the selected score threshold This allows users to align alerts with their own strictness settings rather than monitoring every possible candle manually. Key Inputs Important user controls include: - minimum wick/body ratio - maximum body percentage of full range - wick dominance threshold - optional piercing requirement - volume filter enable/disable - momentum filter enable/disable - support/resistance filter enable/disable - minimum quality score - label size - panel display - maximum number of displayed signals These settings make the script adaptable across different instruments and chart styles. Users who prefer a broader scan can lower the strictness, while users who want fewer but cleaner signals can raise the thresholds. Limitations & Transparency This script is a rule-based candle-quality filter. It is not a market prediction engine, and it does not attempt to classify broader trend structure, liquidity behavior, or macro regime by itself. A pin bar can still fail even when all filters pass. A visually strong rejection candle is not automatically a durable reversal. Context such as higher-timeframe structure, trend state, volatility regime, session behavior, and instrument-specific character still matters. Support and resistance detection in this script is pivot-based and proximity-based. It is designed as a practical contextual filter, not as a complete structural mapping model. Volume behavior also varies by asset and market type. On some instruments, especially where centralized volume data is limited or interpreted differently, the volume filter should be treated as a supplementary input rather than a universal truth test. The momentum check is intentionally compact and local. It is meant to improve candle context, not to replace broader directional analysis. For these reasons, the script is best used as a chart-reading assistant within a larger process, not as a standalone decision framework. Risk Disclosure This script is provided for technical analysis and chart annotation purposes only. It highlights selected pin bar conditions based on user-defined structural and contextual rules. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend continuation can invalidate rejection candles, and false positives can occur in all timeframes and asset classes. Users should validate the script on their own instruments, timeframes, and risk models before relying on it in live conditions. Position sizing, stop placement, execution discipline, and overall trade management remain the responsibility of the user. In summary, AG Pro Pin Bar Quality Filter is designed to help traders study rejection candles with more structure, more selectivity, and cleaner on-chart presentation than a basic pin bar marker, while remaining transparent about what the script does and does not do.

by AGProLabs

Sequential Filter - An Original Filtering Approach Removing irregular variations in the closing price remain a major task in technical analysis, indicators used to this end mostly include moving averages and other kind of low-pass filters. Understanding what kind of variations we want to remove is important, irregular (noisy) variations have mostly a short term period, fully removing them can be complicated if the filter is not properly selected, for example we might want to fully remove variations with a period of 2 bars and lower, if we select an arithmetic moving average the filter output might still contain such variations because of the ripples in the frequency response passband, all it would take is a variation of high amplitude for that variation to be clearly visible. Although all it would take for better filtering is a filter with better performance in the frequency domain (gaussian, Butterworth, Bessel...) we can design innovative approaches that does not rely on the model of classical moving averages, today a new technical indicator is proposed, the technical indicator fully remove variations lower than the selected period. The Indicator Approach In order for the indicator output to change the closing price need to produce length consecutive up's/down's, length control the variation threshold of the indicator, variations lower than length are fully removed. Lets see a visual example : Here length = 3, the closing price need to make 3 consecutive up's/down's, when the sequence happen the indicator output is equal to src , here the closing price, else the indicator is equal to its precedent value, hence removing other variations. The value of 3 is the value by default, this is because i have seen in the past that the average smallest variations period where in general of 3 bars. Because the indicator focus only on the variation sign, it totally ignore the amplitude of the movement, this provide an effective way to filter short term retracement in a fluctuation as show'n below : The candle option of the indicator allow the indicator to only focus on the body color of a candle, thus ignoring potential gaps, below is an example with the candle option off : If we activate the "candle" option we end up with : Note that the candle option is based on the closing and opening price, if you use the indicator on another indicator output make sure to have the candle option off. Length and Indicator Color The closing price is infected by noise, and will rarely make a large sequence of consecutive up's/down's, the indicator can therefore be useful to detect consecutive sequence of length period, here 6 is selected on BTCUSD : A consecutive up's/down's of period 6 can be considered a relatively rare event. It is important to note that the color of the indicator used by default has nothing to do with the consecutive sequence detected, that is the indicator turning red doesn't necessarily mean that a consecutive down's sequence has occurred, but only that this sequence has occurred at a lower value than the precedent detected sequence. This is show'n below : In order to make the indicator color based on the detected sequence check the "Color Based On Detected Sequence" option. Conclusion An original approach on filtering price variations has been proposed, i believe the indicator code is elegant as well as relatively efficient, and since high values of length can't really be used the indicator execution speed will remain relatively fast. Thanks for reading !

by alexgrover

High Performance Candlestick Patterns //Candle Patterns Ranked by Performance THOMAS N. BULKOWSKI //1. Bearish Three Line Strike +Up 67.38% //2. Bullish Three Line Strike -Down 65.23% //3. Bearish Three Black Crows -Down 59.83% //4. Bearish Evening Star -Down 55.85% //5. Bullish Upside Tasuki Gap +Up 54.44% //6. Bullish Inverted Hammer -Down 51.73% //7. Bullish Matching Low -Down 50.00% //8. Bullish Abandone Baby +Up 49.73% //9. Bearish Two Black Gapping -Down 49.64% //10. Brearish Breakaway -Down 49.24% //11. Bullish Morning Star +Up 49.05% //12. Bullish Piercing Line +Up 48.37% //13. Bullish Stick Sandwich +Up 48.20% //14. Bearish Thrusting Line During Dowtrend +Up 48.10% //15. Bearish Meeting Line +Up 48.07% //Down=Yellow Bar Color and Black Text //Up=Blue Bar Color and Blue Text //High Performance Candlestick Patterns Top 15

by ceyhun