Range Strategy – Technical Bounce with Stochastic Crossover

1. Definition and Objective

The “Technical Bounce with Stochastic Crossover” strategy follows a structured horizontal range logic, characterized by the absence of directional dynamics on higher timeframes and by a regular alternation between support and resistance. Within this lateral framework, the objective is to capture the internal back-and-forth movements of the range using an oscillatory indicator, the Stochastic, whose behavior in extreme zones allows the anticipation of short-term momentum reversals.

Unlike strategies based on rejection wicks or RSI-type divergences, this approach relies on the analysis of a cyclical and recurring signal. The crossover of the Stochastic in an extreme zone, below 20 in oversold or above 80 in overbought, indicates a potential imbalance in momentum when approaching a key horizontal level. This signal, when it coincides with a clean test of a clearly identified support or resistance, forms a technical entry point to exploit toward the opposite boundary of the range.

The effectiveness of this strategy rests on three fundamental elements a neutral environment, with no directional impulse, confirmed by the flattening of long moving averages and the absence of recent structural breaks an identifiable range structure, with at least two touches on each boundary, ensuring the readability of levels a Stochastic crossover in an extreme zone, indicating the beginning of a momentum shift within a context of unstable equilibrium

This approach is particularly suited to consolidating market phases, on short to medium time frames, where internal range oscillations are frequent and technically exploitable. Thanks to the regularity of the signal and its simplicity of detection, it lends itself well to disciplined manual execution as well as partial automation through conditional alerts.

2. Entry Conditions and Required Tools

Technical context prior to entry

Before taking any position, it is essential to verify that the market is evolving within a stable lateral environment, without an active trend or recent directional impulse. The strategy relies on the cyclical behavior specific to the Stochastic, which only retains its relevance in a coherent horizontal context, observable both on the signal timeframe (M15 to H1) and confirmed on the context timeframe (H1 to H4).

Price must move within a regular horizontal range, clearly identifiable on the signal timeframe. This range must be framed by two well-defined horizontal levels that have been tested multiple times. At least two valid bounces on each boundary are required to confirm the structure.

No candle should close beyond these levels for an extended period. Wicks may temporarily exceed them but must not undermine the integrity of the structure.On the context timeframe, the environment must remain neutral and compressed. Concretely, the long moving averages (EMA 50 and EMA 200) should be flat or interlaced without any dominant trend. There must be no clear sequence of higher lows and higher highs or lower lows and lower highs, and price should generally remain between the two EMAs in a median zone with no established direction.This neutral context is reinforced by the absence of major external events. No macroeconomic announcement, regulatory decision or sensitive publication should be expected on the concerned asset. An up-to-date economic calendar must always be consulted before any position is taken. The strategy loses its validity if a directional breakout occurs in the hours preceding the signal.

Entry signal

Once the context is validated on both timeframes, the entry relies exclusively on the behavior of the Stochastic and its position in the extreme zones, directly related to the boundaries of the range. The crossover must be clear and readable and must occur in contact with a well-defined horizontal level.

Long entry from support

The Stochastic (14, 3, 3) must have dipped below the 20 level, then produce a clear bullish crossover where the %K line moves above the %D line. This crossover must occur while the price is in immediate contact with the lower boundary of the range without any structural break.The crossover candle must close above the horizontal support level even if a wick temporarily pierced the level. This closing invalidates any immediate breakout attempt and confirms that the support is holding on the signal timeframe.The volume on this candle must remain stable or show moderate increase. No sudden spike in volume should appear as it would indicate an abnormal imbalance. Maintaining regular volume reinforces the notion of cyclical behavior rather than an impulsive reversal.A bullish follow-up candle may appear immediately after the crossover. This is typically a full-bodied upward candle visually confirming the return of buying pressure. This signal remains optional but serves as additional confirmation for conservative profiles.

Short entry from resistance

The Stochastic must cross above the 80 level and then produce a clear bearish crossover where %K crosses back below %D. This crossover must occur when price is testing the upper boundary of the range without a confirmed breakout.The crossover candle must close below the horizontal resistance level even if a wick temporarily breached the boundary. This closing confirms that the level has resisted the bullish attempt.The volume must remain contained. The absence of a volume spike confirms that the movement is more likely a typical oscillation rather than the beginning of a breakout. Excessive activity on the signal candle may indicate an imbalance or a phase shift that would be undesirable within the framework of this strategy.Again, an immediate rejection candle may reinforce the setup. It often takes the form of a bearish engulfing candle or a high-wick candlestick. This visual confirmation remains secondary but allows the entry to be delayed to maximize the probability of success.

Recommended tools

To apply this strategy under optimal technical conditions, several tools must be used. They serve to identify favorable contexts, monitor signals in extreme zones, and secure the validation of horizontal levels.

Tool type	Recommended use
Stochastic (14, 3, 3)	Main indicator. Monitor crossovers of %K and %D below 20 or above 80.
EMA 50 / EMA 200	Analyze context neutrality on H1 or H4. Both curves must remain flat or interlaced horizontally.
Horizontal Ray Tool	Manually draw supports and resistances of the range based on at least two valid bounces.
Volume with SMA 20	Check for stable activity at the time of crossover. No anomaly should be detected.
TradingView Screener	Pre-filter non-trending pairs. The “Neutral” or “Non trending” filter is recommended on H1 and H4.
Custom alerts	Create TradingView alerts to detect Stochastic crossovers in extreme zones, combined with proximity to range boundaries.

3. Exit Conditions

Exit management is a central pillar of this strategy as it determines both the actual performance of the trade and the quality of risk control. It relies on two inseparable elements : a measured profit target (Take Profit) and effective protection against scenario invalidation (Stop Loss).

These parameters must be adjusted according to the timeframe used for the signal (M15 to H1) as well as the specific characteristics of the observed range structure.

In a stable environment where the range boundaries are well respected, the exit can be executed directly at the resistance.

However, in a slightly more irregular context or when the stochastic crossover occurs near a less precise support with several recent wicks or frequent closing gaps, a two-step management approach allows for quick partial gain securing while leaving room for trade development.

Take Profit : two recommended approaches

Fixed TP at the range resistance

The most direct option is to set the profit target at the upper boundary of the range, as identified on the signal timeframe (M15 or H1). This placement aims to capture the full internal bounce from the support validated by the stochastic crossover up to the horizontal resistance that has previously acted as a reversal point.

This method is particularly effective in clean ranges with limited amplitude and no frequent overshoots. It offers perfect readability and is well suited for both rapid manual execution and partial automation via alert or bot.

Partial TP followed by dynamic trailing

For traders seeking to combine initial safety with flexible management, a two-step approach can be implemented.

TP1 is placed at the visual midpoint of the range. Once this level is reached, the Stop Loss is immediately moved to break-even, eliminating all remaining risk.

TP2 is then left open until resistance. To support this target, a trailing stop is activated once the position exceeds a gain of 1 percent. This trailing can be based on :

an EMA 9 applied to the signal timeframe, serving as a dynamic guide for price movement

or a multiple of the ATR, typically 1.5 × ATR(14), to adjust the stop distance to actual market volatility

This method optimizes trades when the rebound continues without immediate resistance while securing a portion of the gains as soon as half the range is covered.

Stop Loss : two possible placements

Tight SL below the validated support

When the lower boundary of the range is well defined and the stochastic crossover is clean and clear, the Stop Loss can be placed a few points below the support level or slightly below the low wick that preceded the crossover.

This technical placement allows for an excellent risk to reward ratio, especially in low-volatility environments. It is suitable for narrow ranges and highly readable signals with minimal noise. However, it does not tolerate any short-term volatility spikes.

Wider SL below the support structure

If the lower boundary has been tested multiple times with irregular wicks or if the support spans a broader zone, the Stop Loss must be widened below the entire structure.

This placement allows previous excesses to be absorbed and avoids premature exits due to false signals. It is recommended for slightly irregular ranges or when the entry was triggered in response to a crossover occurring within a more diffuse technical congestion zone.

Practical guidance based on timeframe

Signal timeframe	Recommended Stop Loss	Suggested Take Profit
M15	Tight SL under support or under the crossover wick	Fixed TP at resistance or two-step management with trailing from +1 percent
H1	Wide SL under the entire support structure	Progressive TP recommended with trailing based on EMA 9 or ATR × 1.5 after TP1

This graduated approach makes it possible to adapt the strategy to market dynamics while preserving the coherence of the technical framework. On shorter timeframes, placement precision is essential. On longer units, the robustness of the level and tolerance for price deviation become a priority.

4. Recommended Indicators and TradingView Tools

The success of this strategy relies on the ability to accurately detect stochastic crossovers within a clean and stable range context. The working environment must support the identification of key horizontal levels, the confirmation of market neutrality, and the capacity to act quickly at the moment the signal appears. TradingView provides all the tools required to implement this strategy, whether for manual trading or semi-automated monitoring.

Stochastic (14, 3, 3)

This is the core indicator of the strategy. It must be set with the standard parameters (14, 3, 3) and analyzed exclusively on the signal timeframe (M15 to H1).The crossover of the %K line above %D below the level 20 constitutes the primary entry signal. Conversely, any bullish crossover occurring outside this extreme zone should be ignored. Stochastic analysis does not require complex interpretation, but special attention must be paid to the clarity of the crossover and its proximity to the horizontal support.For improved clarity, it is advisable to display only the oversold zone (below 20) and to hide unnecessary areas. This visual simplification facilitates signal detection and enhances the triggering of custom alerts.

EMA 50 and EMA 200

These two exponential moving averages are used exclusively on the context timeframe (H1 or H4). They help confirm that the market is not in an active trend.When the EMAs are flat or crossing horizontally, this indicates lateral compression conducive to forming a tradable range. Conversely, if both curves are parallel and strongly sloped, this signals a directional momentum incompatible with the strategy. In such cases, the setup must be invalidated even if a stochastic crossover appears.

Volume with 20-period Moving Average

Volume is a complementary indicator used to confirm market stability at the time of the crossover. It is analyzed solely on the signal timeframe.The goal is not to detect a spike in activity but rather to ensure the absence of abnormal volume that could indicate the beginning of a breakout or a disruptive influx. A stable or slightly increasing activity, close to the 20-period average, is generally favorable.The native histogram on TradingView, combined with a simple volume moving average (SMA 20), provides quick readability. The signal candle should not display a volume bar significantly above this average.

Horizontal Ray Tool

This graphical tool is essential for drawing the range boundaries on the signal timeframe. It marks the support and resistance zones visually based on at least two confirmed points of contact for each level.The drawings must be precise, stable, and part of a consistent oscillation logic. They are used not only to detect bounce zones but also to frame the Take Profit and Stop Loss levels.Automatic tools like LuxAlgo SR Levels may be used as a supplement, but their output must always be manually validated to avoid false levels created by market noise.

TradingView Screener

The screener helps filter out assets evolving in a lateral environment even before monitoring technical signals. On TradingView, the filters “Sideways”, “Neutral” or “Non Trending” applied to H1 and H4 timeframes help exclude actively trending markets .It is also useful to observe secondary oscillators like MACD or Supertrend to further confirm neutrality. This pre-filtering significantly enhances the quality of detected setups.

Custom Alerts

Setting up alerts allows monitoring of multiple pairs simultaneously without having to analyze each chart in real time.An effective alert combines two elements :a touch with a manually drawn horizontal support level a bullish stochastic crossover within the oversold zone.

This configuration can be programmed in TradingView using crossed conditions or simulated by combining two separate alerts. This system enables semi-automated monitoring, which is particularly useful in the context of manual copy trading or multi-asset tracking.

Recommended Procedure

Manually draw the range boundaries using the Horizontal Ray Tool Confirm market neutrality using EMA 50 and EMA 200 on H1 or H4 Filter active pairs with the TradingView screener set to “Sideways”Monitor the support zone with a price alert Confirm the setup only if a bullish stochastic crossover appears below level 20 Check for the absence of abnormal volume before entering the position Optionally wait for a bullish follow-up candle to strengthen the signal

5. Selection of Suitable Pairs and Filtering Criteria

Not all pairs are equally suited to a technical bounce strategy based on a Stochastic crossover. The effectiveness of the setup relies on three pillars : a clearly identifiable range structure, a smooth internal dynamic between the boundaries, and a consistent oscillator behavior in the extreme zones. To maximize signal relevance and reduce false alerts, it is essential to target assets that are both stable, visually clean, and technically neutral on higher timeframes.

Stable ranging assets with regular alternation

The strategy performs best in neutral contexts where the price oscillates between two clearly defined horizontal levels without dominant directional bias. These lateral phases are often visible on M15 or H1 and should be validated on H1 or H4. Regular alternations between support bounces and resistance rejections are required, without clean breakouts or impulsive moves.The most favorable consolidations occur in equilibrium zones following a previous trend or during waiting phases between two fundamental impulses. This type of market favors clean readings of the Stochastic oscillations, with localized and low-noise signals.

Clearly identified horizontal boundaries

Selected assets must present clean technical boundaries on the signal timeframe, confirmed by at least three recent points of contact. These levels must be flat or nearly flat, and separated by a sufficient amplitude to allow for a viable entry and a balanced risk-to-reward ratio. The consistency of past reactions on these levels increases the reliability of upcoming signals.

Consistent Stochastic responsiveness

The Stochastic oscillator must not produce constant or erratic triggers. It should evolve in a cyclical pattern, reacting clearly at the range boundaries. On well-suited assets, %K and %D crossovers in extreme zones (below 20 or above 80) appear precisely near support or resistance, with consistent behavior. The signals should remain spaced out, visually clear, and minimally sensitive to internal noise.

Recommended filtering criteria

To further strengthen the selection of compatible pairs, several simple filters can be applied beforehand, especially in semi-automated setups.

CoinMarketCap Ranking : between ranks 20 and 100

This filter helps target sufficiently liquid assets while avoiding extremes. Top 10 pairs such as BTC, ETH, or BNB often show excessive dominance or inertia that limits the effectiveness of technical oscillations. Conversely, pairs beyond rank 100 are generally too volatile, illiquid, or prone to erratic and unusable signals.Assets ranked between 20 and 100 generally offer cleaner structure, moderate volatility, and proper responsiveness when price approaches technical levels.

Stable or moderately high 24-hour volume

Very low volume makes Stochastic oscillations unstable, while abnormally high volume may indicate an ongoing regime shift. It is recommended to select pairs whose daily volume remains consistent with their recent history, without sharp spikes or collapses. This criterion can be assessed using a 7-day average and by comparing observed levels to other assets in a similar CoinMarket Cap range.This filtering excludes pre-breakout assets or those likely to exit a range due to a sudden surge in liquidity.

Clean chart structure

On M15 to H1 timeframes, the chart must show a technically readable construction : clean candles, well-defined support and resistance zones, and regular alternation between bounce and rejection phases. Structures must be visually stable, with no chaotic overlaps between candles or frequent gaps disrupting interpretation. This graphical clarity is essential to reliably validate Stochastic crossover signals and reduce the risk of misreading during market breath phases.

Neutral EMA 50 and EMA 200 on H1 or H4

On the context timeframe, the absence of a clear trend must be confirmed by flat or laterally crossing long EMAs (50 and 200). Any clear slope in the curves indicates directional momentum potentially incompatible with a lateral oscillation scenario. This simple visual criterion helps quickly exclude assets entering new trends even when a false range seems visible on the signal timeframe.

To avoid

Certain asset profiles are fundamentally incompatible with a Stochastic crossover strategy in a range context. They must be excluded from any serious selection, especially in automated environments.

Highly volatile or low liquidity assets

These pairs are subject to unpredictable price movements often marked by long wicks, sudden breakouts, and incoherent internal oscillations. Stochastic crossover signals become too frequent or are immediately invalidated by unanticipated directional bursts. The risk-to-reward ratio collapses and the strategy loses all effectiveness.

Memecoins and ultra-speculative tokens

These assets often react to external events such as announcements, tweets, or rumors that override any technical logic. Even in a seemingly valid range, they can trigger violent breakouts without prior signal or cause false positives on the Stochastic due to extreme sensitivity to volume. Their unpredictability cancels out the logic of controlled rebounds and makes them unusable within a rigorous framework.

6. Case Study – MATIC/USDC

To illustrate this strategy, we present a fictional case based on the MATIC/USDC pair, an asset ranked around 25 on CoinMarketCap, known for its solid technical responsiveness and moderate volatility. This profile provides ideal conditions for exploiting internal oscillation signals via Stochastic crossovers within a stable horizontal framework.

Technical selection context

This pair was chosen based on several elements that align with the defined criteria Well-defined range structure on the signal timeframe (M15), with several confirmed oscillations between two horizontal boundaries Neutral EMA 50 and EMA 200 on the context timeframe (H1), with no active trend Moderate 24-hour volume, above the market median, ensuring consistent buying flow and smooth execution Absence of macroeconomic catalysts or major fundamental news for the asset, allowing for a clean technical setup These combined conditions create an ideal environment for activating the strategy

Setup parameters

Asset : MATIC/USDC Signal timeframe : M15Context timeframe : H1 Identified range : between 0.686 USDC (support) and 0.726 USDC (resistance)For over 40 M15 candles, the price has remained within a clear horizontal structure, with at least three validated bounces on each level. The boundaries are stable, the candles remain contained, and no breakout attempt has been confirmed. On H1, the EMA 50 and EMA 200 remain flat and crossed, confirming the absence of a dominant direction on the context unit

Signal trigger

The entry signal is based on a bullish crossover of the Stochastic (14, 3, 3) in the lower extreme zone (below 20), observed at the immediate contact with the horizontal support Stochastic : %K and %D cross upward around zone 16 to 17 with a clear slope Price at crossover moment : 0.689 USDC, or 0.3 percent above the identified support Signal candle close : 0.691 USDC Volume : stable with a slight increase compared to the 20-period moving average on M15 Next candle : bullish with a full body, closing at 0.697 USDC This sequence validates all entry criteria of the strategy : support bounce, clean technical crossover, proper volume behavior, and no breakout

Trade execution

Entry : 0.697 USDC Executed at the close of the bullish candle following the crossover on M15 Stop Loss (SL) : 0.683 USDC Positioned just below the lower zone of the structure, encompassing the wicks from previous support tests Take Profit 1 (TP1) : 0.706 USDC Placed at the mid-range zone for a secured partial exit Take Profit 2 (TP2) : 0.724 USDCSet just below the resistance, with a trailing stop using EMA 9 activated after a gain of more than 1 percent

Simulated result

TP1 reached after 40 minutes of slow upward movement, SL moved to break-even TP2 triggered at 0.721 USDC after a continuous rise over 90 minutes followed by consolidation SL was never threatened after trailing was activated Estimated total gain : approximately 1.8 percent in two stages Risk to reward ratio (R:R) : approximately 2.1 to 1 This fictional case perfectly illustrates the clean implementation of the strategy in a stable range environment, with a clear stochastic signal, readable structure, and disciplined risk management

7. Adaptation to Copy Trading

The Stochastic Crossover Technical Bounce strategy is particularly well suited to copy trading environments, whether manual, semi-automated or driven by webhook alerts. It relies on a clear technical signal, triggered in stable conditions, with execution at candle close that allows for slight delays without loss of effectiveness. Its visual clarity, objectivity and reproducibility make it an ideal candidate for duplication across multiple accounts or shared management platforms.

Clear and automatable indicator-based signal

The core of the strategy lies in a bullish crossover of the Stochastic oscillator (14, 3, 3) within an extreme zone below 20, combined with immediate proximity to a confirmed horizontal support. This combination is easily detectable by an algorithm or via a custom TradingView alert. The signal requires no subjective interpretation. It is based on precise numerical thresholds and well-defined graphical levels This technical reproducibility makes the setup suitable for all forms of trade copying, from simple visual following to automated execution via webhook

Timeframe suited to delayed execution

Entry takes place at the close of the crossover candle, which allows a delay of several seconds to a few minutes between signal detection and order execution. This tolerance is essential in copy trading, especially when a lead trader issues a signal manually or via alert and followers then replicate the action on their own accounts. Even in asynchronous environments, the entry remains close to the original level without significant impact on the risk to reward ratio

Stable SL and TP levels that are easy to replicate

The placement of the Stop Loss below the extended support zone and Take Profits at mid-range and upper resistance relies on objective and visible horizontal zones. These levels are fixed, identifiable in advance, and reproducible from one account to another. They can be embedded into alert scripts or configured manually without the need for real-time adjustment. This facilitates their use in DCA systems, bots or copy trading platforms based on fixed or semi-parameterized models

Automation via combined alerts on TradingView

The strategy naturally lends itself to semi-automated execution using a combination of price level alerts and indicator crossovers.

For example

TradingView alert : Stochastic %K crosses above %D in a zone below 20

Additional condition : Price is within 0.5 percent of an identified horizontal support

This configuration can be converted into a webhook signal, triggering automated execution on a third-party bot or DCA order handler. The system remains lightweight, modular and easily duplicable, making it compatible with many technical copy trading workflows

Compatible with

DCA bots : Entry conditioned by a stochastic crossover and price within a technical rebound zone. Suitable for scalping or intraday botsWebhook signals : Automated order execution via combined alerts from TradingView to systems such as 3Commas, Wunderbit or other integrators

Assisted manual copying : Thanks to the visual clarity of the setup, human copiers can act manually with quick visual confirmation even in the case of slight delays

This multi-format compatibility makes the strategy a robust and accessible tool across all copy trading contexts. It combines technical precision, ease of detection and execution flexibility, allowing it to fit seamlessly into both beginner environments and advanced delegated management systems

8. Advantages and Limitations

As with any approach based on a repetitive technical configuration, the Stochastic Crossover Technical Bounce strategy presents both solid operational strengths and structural limitations to be considered. It is built on a simple and identifiable indicator-based signal combined with a stable horizontal price structure. However, its effectiveness is closely tied to the quality of the context, the regularity of the range boundaries and the precision of the crossover in extreme zones. Below are the main advantages and limitations to integrate before adopting it in a manual trading or copy trading environment

Advantages

Clear numerical signal : crossover in extreme zone easily detectable

The core of the strategy lies in a bullish crossover of the Stochastic oscillator (14, 3, 3) below the threshold of 20 in conjunction with a test of a confirmed horizontal support. This type of signal is easy to spot visually but also programmable through script or alert, which makes it particularly compatible with assisted or automated trading. Its ease of interpretation reduces the risk of confusion or execution errors

Stable technical structure and predictable levels

The strategy relies on clearly defined horizontal boundaries support and resistance and operates within clean range contexts. This structure allows for precise placement of the Stop Loss and Take Profit and makes both entry and exit scenarios reproducible. This stability supports both manual tracking and integration into a DCA bot or copy trading platform

Compatible with semi-automated execution via alerts

Thanks to the combination of two codifiable elements Stochastic and horizontal level the strategy can be converted into a custom alert on TradingView. This logic makes it possible to automatically trigger signals via webhook or receive notifications for manual validation. This compatibility makes it a straightforward strategy to implement in a hybrid or modular system

Performs effectively in calm markets

The strategy yields the best results during consolidation phases where the market oscillates between fixed boundaries with no prevailing trend. In such contexts the Stochastic crossover within a compression zone allows for anticipating internal range rotations. Support levels tend to hold better which increases the success rate of signals

Suitable for intraday timeframes M15 to H1

The strategy is designed to operate on intermediate time units such as M15 M30 or H1. These timeframes offer frequent setups without excessive noise while maintaining flexibility in trade management. It is suitable for both moderate scalping and day trading approaches

Limitations

Signal becomes invalid upon structural support break

If the horizontal level is clearly breached either by a close below support or a volume acceleration the Stochastic crossover signal becomes invalid. In this scenario the environment turns directional and the range rebound logic no longer applies. A confirmed break immediately cancels the entry and any ongoing trade must be closed

Risk of false positives on highly volatile assets

Pairs with excessive volatility or messy structure often generate Stochastic crossovers without technical coherence. In such cases the signal may be triggered by a noisy oscillation without a true support rejection. This leads to quickly invalidated entries. A strict selection of pairs is essential

Sensitivity to SL placement in uncertain conditions

The success of the trade depends on a properly sized Stop Loss. If placed too tight it is triggered by a minor spike. If too wide it deteriorates the risk to reward ratio. This requirement demands a rigorous reading of the recent support structure which can be difficult in irregular chart environments. An imprecise approach leads to increased losses

Less effective during transitions or external catalysts

If the market enters a transition phase toward a trend or during major events macro data regulation sector announcements the range levels become obsolete. The Stochastic may cross during a false bottom and a breakout can follow shortly after. In such contexts the strategy becomes irrelevant and should be temporarily suspended

Not suitable for irregular or poorly formed ranges

When the boundaries are unclear reactions are weak or rotations are incomplete the strategy loses its clarity. Disorganized ranges or those with low graphical coherence lead to frequent crossovers without a clear structure. In such cases it is better to wait for a new stable consolidation before considering another entry

9. Conclusion

The Stochastic Crossover Technical Bounce strategy stands out as a rigorous and actionable method for exploiting internal movements within range-bound markets. Based on a simple and repetitive oscillating indicator, it allows traders to intervene at probable turning points within a well-defined horizontal price structure

Its effectiveness relies on three key elements

A clear technical signal generated by the crossover of %K and %D in an extreme zone without the need for complex visual interpretation

An entry timing validated at candle close allowing for slight delays that are compatible with copy trading

A fixed level structure with precise horizontal boundaries that enable objective placement of Stop Loss and Take Profit

Particularly effective on intermediate timeframes M15 to H1 the strategy adapts to various execution styles from moderate scalping to structured day trading. It performs best in neutral contexts where market oscillations repeat consistently around well-established support and resistance levels

Its ease of detection compatibility with TradingView alerts and seamless integration into semi-automated systems make it especially suitable for copy trading whether manual bot assisted or webhook triggered

When used with discipline this approach provides a readable reproducible and technically controlled solution for taking advantage of consolidation phases without relying on directional momentum or complex market conditions