Price Action Strategy Screener 1&5 Min [TradingFinder]🔵 Introduction
Price action is the study of how price moves, reacts, and leaves information behind through structure, swings, and liquidity behavior. Instead of relying on indicator signals or mathematical outputs, price action focuses on reading market intent directly from price movement, especially around key swing highs and lows where liquidity is often targeted. Understanding repeated reactions, failed continuations, and stop hunts is essential for identifying high quality trading opportunities.
In this price action strategy, signals are not generated from a single breakout or liquidity grab. Price must sweep a swing level multiple times, form a new structural reference, and return again to hunt liquidity. This repeated sweep and reaction process filters out random volatility and highlights deliberate market behavior. When this sequence occurs near the upper band or lower band of a price band, the signal gains additional context by aligning with premium and discount zones.
Correlation plays a critical role in validating price action signals. Symbol pairs are first selected based on historically high correlation on the daily timeframe so that divergence becomes meaningful. When correlation weakens on the execution timeframe, situations emerge where one asset continues to make higher highs or lower lows while the correlated asset fails to confirm and remains near a key swing level. This correlation breakdown exposes inter market divergence and relative strength or weakness, reinforcing the price action narrative.
An RSI component is provided only as an optional confirmation tool. It does not participate in signal generation and does not influence the strategy logic. Traders may use RSI to evaluate momentum exhaustion divergence or overbought and oversold conditions, or ignore it entirely. The foundation of this approach remains price action driven, built on liquidity sweeps, structural interaction, correlation dynamics, and contextual price band positioning rather than indicator dependency.
⚠️ Note: This product works only on the 1m and 5m timeframes. Please switch your chart to one of these timeframes to use the indicator properly.
🔵 How to Use
A central pillar of this methodology is the emphasis on historically high correlation as a prerequisite for meaningful analysis. Correlation is not treated as a signal by itself, but as a contextual foundation that gives weight to divergence and disagreement. When two markets have demonstrated strong alignment over time, especially on higher timeframes such as the daily chart, any deviation from that relationship becomes informative. The strategy assumes that without prior correlation, divergence has little analytical value and may simply reflect unrelated market behavior.
By filtering symbol pairs based on strong long term correlation, the tool focuses only on situations where market alignment is expected. When that alignment weakens on the execution timeframe, price behavior gains additional significance. One symbol may continue to expand, break structure, or print new extremes, while the correlated symbol stalls, compresses, or fails to confirm. This breakdown highlights emerging relative strength or weakness and often precedes rotation, rebalancing, or corrective price action rather than clean continuation.
The practical application of this concept relies on selecting logically related markets. Examples include precious metals such as OANDA:XAUUSD and OANDA:XAGUSD , closely linked equity indices like CAPITALCOM:US100 and CAPITALCOM:US500 , highly correlated currency pairs within the same economic group such as OANDA:EURUSD and OANDA:GBPUSD , or crypto assets like COINBASE:BTCUSD and COINBASE:ETHUSD that often move in tandem. By anchoring analysis to these correlated pairs, the strategy avoids random comparisons and instead isolates moments where market disagreement reflects a genuine shift in participation, intent, or liquidity distribution.
🟣 Buy Setup
Buy scenarios are evaluated when price is positioned near the lower band and begins to show signs of downside fatigue. The market should demonstrate repeated probing below a reference low without sustained follow through, indicating sell side absorption. After several failed attempts to push lower, price often compresses, forms a reaction base, and starts to defend that area.
Confirmation comes from relative performance between correlated markets. While the primary symbol holds its ground, the secondary symbol may begin to stabilize or recover, showing that downside pressure is no longer synchronized. This decoupling suggests that bearish participation is weakening. Buy setups gain higher quality when price starts to rotate upward from the lower band while downside extensions continue to fail.
🟣 Sell Setup
Sell scenarios develop when price trades near the upper band and shows signs of upside exhaustion. Multiple extensions above a reference high followed by weak continuation often signal buy side consumption. Price may repeatedly spike higher but struggle to maintain acceptance, leaving behind rejection and compression near the same zone.
Cross market behavior plays a key role in validation. When one correlated asset continues to advance while the primary symbol fails to sustain new highs, the imbalance becomes visible. This lack of confirmation reflects diminishing demand and distribution rather than healthy expansion. Sell setups become higher probability when price stalls near the upper band, fails to hold premium levels, and correlated markets no longer move in alignment.
🔵 Setting
Signal Source Pair : This option defines which pair’s signals are displayed on the chart. The script calculates signals for six different symbol pairs simultaneously, but only one pair can be visualized on the chart at a time. By selecting Pair 1 through Pair 6, the user chooses which pair’s signal output is shown on the active symbol. For example, if Pair 4 is selected, only signals generated by Pair 4 will appear on the chart.
Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay.
Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference.
Table Size: This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously.
Table Mode : This setting offers two layout styles for the signal table.
Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability.
Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout.
Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators.
Symbol 1 and Symbol 2 : These options define the two symbols that are evaluated together as a pair. Users should select symbols that have historically shown high correlation so that divergence and correlation breakdowns carry meaningful analytical value.
Signals are generated based on relative strength and weakness, behavioral divergence, and confirmation failure between the two symbols. For each pair, signals are displayed only for the symbol defined as the active output in the screener.
Confirmation Period : This setting controls the initial swing confirmation window. It defines how many bars are required for a swing structure to be considered valid before liquidity sweeps and reactions are evaluated. Higher values tend to produce stronger and more reliable swing structures while reducing signal frequency. Lower values respond faster but may include shorter term or less significant movements. This logic is applied identically across all six pairs, with each pair calculated independently.
RSI Setting : The RSI section is completely optional and is provided only for visual confirmation. It has no influence on signal generation or strategy logic.
Short RSI, Mid RSI, Long RSI : These options allow different RSI lengths to be displayed simultaneously. Short RSI reacts quickly to momentum changes, while Mid and Long RSI provide smoother and broader context. Each RSI length can be enabled or disabled independently.
Show RSI Levels : This option toggles the visibility of RSI reference levels.
Low Potential Zone : Highlights areas where momentum potential is relatively low.
Mid Potential Zone : Marks neutral or transitional momentum environments.
High Potential Zone : Highlights areas with higher momentum potential, often associated with expansion or exhaustion phases.
All RSI zones are purely visual and do not affect signal logic or calculations.
🔵 Conclusion
This price action strategy is built to highlight moments where market behavior shifts from participation to hesitation. By observing repeated tests of key areas, failed continuation, and loss of alignment between related markets, the approach helps traders focus on areas where risk becomes more defined and directional follow through becomes more selective. The combination of band location, multi stage interaction, and cross market confirmation allows users to filter noise and concentrate on scenarios where price is more likely reacting than accelerating.
Rather than offering fixed entries or automated decisions, this framework encourages discretion, contextual reading, and structured execution. It is most effective when used by traders who understand market phases, rotation, and imbalance, and who are willing to wait for price to reveal intent through behavior rather than speed. When applied with patience and proper risk management, the strategy provides a consistent way to evaluate quality over quantity in evolving market conditions.
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