Intermarket Swing Projection [LuxAlgo]The Intermarket Swing Projection allows traders to plot price movement swings from any user-selected asset directly onto the chart in the form of zigzags and/or horizontal support and resistance levels.
This tool rescale the external asset price on the user chart, enabling traders to make direct comparisons.
It answers the question of how different the price behavior is between two assets, accounting for each asset's volatility.
🔶 USAGE
This tool is based on swing detection of two different assets: the chart and a user-selected asset. It allows traders to compare two assets on an equal footing while accounting for volatility and price behavior.
Traders can customize the detection by selecting a custom ticker, timeframe, the number of swings and length for swing detection. This makes the tool a Swiss army knife for asset comparison.
As we can see in the image below, the Show Last, Pivot Length, and Spread parameters are key to defining the final output of the tool.
"Show Last" defines how many pivots are displayed. "Pivot Length" is used for pivot detection; a larger value will detect larger market structures. "Spread" defines how far apart the horizontal levels will be from their original location in terms of volatility.
🔹 Comparing different assets
This image shows the Nasdaq 100 futures contract compared to four other futures contracts: S&P 500, gold, bitcoin, and euro/U.S. dollar.
Plotting all of these assets in Nasdaq 100 terms makes it easy to compare and analyze price behaviors and identify key levels.
In the top left chart, we have NQ vs. ES. It's no surprise that they are practically an exact match; a large portion of the S&P 500 is technology.
In the top right chart, NQ vs. GC, we see totally different behaviors. We can clearly see the summer consolidation in gold and the resumption of the uptrend, which took gold above 29,200 NQ points, up from 21,200.
In the bottom right chart, we see bitcoin making new highs, way above the Nasdaq in May, July, and October. However, the last high was way below the Nasdaq prices on October 27—the first lower high in a while. Sellers are pushing down.
Finally, the bottom left chart is NQ vs. 6E. We can see large volatility in the uptrend since February, with NQ unable to catch up until now. The last swing low was almost a match, and 6E is in a range.
As we can see, this tool allows us to perform intermarket analysis properly by accounting for each asset's volatility and price behavior. Then, we plot them on the same scale on equal terms, which makes performing this kind of analysis easy.
As we can see in the chart above, the assets are the same as in the previous image, but the timeframe is 1H with different settings.
Note the horizontal levels acting as support and resistance, as well as how NQ prices react to the zones marked with white circles. These levels are derived from custom assets selected by the user.
🔹 Displaying Elements
Zig-zag allows traders to clearly see the path that the selected asset's price took, as well as its turning points.
Horizontal levels are displayed from those turning points to the present and can be used as support or resistance. Traders can adjust the spread parameter in the settings panel to expand or contract those levels' volatility.
There are two color modes for the levels: average and pivots. In the first mode, green is used for levels below the average and red for levels above the average. The second uses green for swing lows and red for swing highs.
The backpaint feature is enabled by default and allows the swings to be displayed in the correct location. With this feature disabled, the swings will be displayed in the current location when a new swing is detected.
🔶 DETAILS
On a more technical note, the rescaling is formed by calculating three main elements from all the swings detected on the custom and chart assets:
The chart asset's average of all swing points
The chart asset's standard deviation of all swing points
The custom asset's z-score for each swing point
Then, the re-scaled swing point is calculated as the average plus the z-score multiplied by the standard deviation. This makes it possible to plot AAPL swings on an NQ chart, for example.
Thanks to re-scaling, we can directly compare the price behavior of two assets with different price ranges and volatility on the same chart.
🔶 SETTINGS
🔹 Trendlines
Ticker: Select the custom ticker.
Timeframe: Select a custom timeframe.
Show Last: Select how many swing points to display.
Pivot Length: Select the size for swing point detection.
Spread: Volatility multiplier for horizontal levels. Larger values mean the levels are farther apart.
Backpaint: Enable or disable the backpaint feature. When enabled, the drawings will be displayed where they were detected. When disabled, the drawings will be displayed at the moment of detection.
🔹 Style
Show ZigZag: Enable or disable the ZigZag display and choose a line style.
Show Levels: Enable or disable the levels display and choose a line style.
Color Mode: Choose between Average Mode, which colors all levels below the average bullish and all levels above bearish, and Pivot Mode, which colors swing highs bearish and swing lows bullish.
Bullish: Select a bullish color.
Bearish: Select a bearish color.
ZigZag: Select the ZigZag color.
อินดิเคเตอร์และกลยุทธ์
2026 CHRISTMAS PRESENT CHRISTMAS PRESENT
Overview
The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems.
Strategy Background
The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation:
Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control.
Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action.
By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction.
Key Features
Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern
RSI Filter: Optional overbought/oversold filter to avoid extreme conditions
Built-in Risk Management: Configurable stop loss and take profit levels
Performance Dashboard: Real-time ROI metrics displayed on chart
Full Backtesting: Strategy mode allows historical performance analysis
Trading Rules
LONG ENTRY BUY
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses above signal line bullish crossover
2. Price Action Confirmation:
Bullish engulfing pattern forms:
Current close greater than previous open
Current open less than previous close
Current close greater than current open
3. RSI Filter Optional:
RSI less than 70 not overbought
Visual Signal: Green LONG label appears below the candle
SHORT ENTRY SELL
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses below signal line bearish crossover
2. Price Action Confirmation:
Bearish engulfing pattern forms:
Current close less than previous open
Current open greater than previous close
Current close less than current open
3. RSI Filter Optional:
RSI greater than 30 not oversold
Visual Signal: Red SHORT label appears above the candle
Exit Rules
Stop Loss Default 2 percent
Long: Exit if price drops 2 percent below entry
Short: Exit if price rises 2 percent above entry
Take Profit Default 4 percent
Long: Exit if price rises 4 percent above entry
Short: Exit if price drops 4 percent below entry
Input Parameters
Indicator Settings
MACD Fast Length: 12 default
MACD Slow Length: 26 default
RSI Length: 14 default
Risk Management
Use Stop Loss: Enable or disable stop loss
Stop Loss percent: Percentage risk per trade default 2 percent
Use Take Profit: Enable or disable take profit
Take Profit percent: Target profit per trade default 4 percent
Filters
Use RSI Filter: Enable or disable RSI overbought oversold filter
RSI Overbought: Upper threshold default 70
RSI Oversold: Lower threshold default 30
Performance Metrics
The built-in dashboard displays:
Net Profit: Total profit loss in currency and percentage
Total Trades: Number of completed trades
Win Rate: Percentage of profitable trades
Profit Factor: Ratio of gross profit to gross loss
Average Win Loss: Mean profit per winning losing trade
Max Drawdown: Largest peak to trough decline
Best Practices
1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily
2. Market Conditions: Most effective in trending markets with clear momentum
3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting
4. Combine with Context: Consider overall market trend and support resistance levels
5. Backtest First: Always backtest on your specific instrument and timeframe before live trading
Risk Disclaimer
This strategy is for educational purposes. Past performance does not guarantee future results. Always:
Backtest thoroughly on historical data
Paper trade before using real capital
Use proper position sizing and risk management
Never risk more than you can afford to lose
Customization Tips
Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent
Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent
Ranging markets: Enable RSI filter to avoid false breakouts
Strong trends: Disable RSI filter to catch all momentum shifts
Technical Details
Indicators Used:
Moving Average Convergence Divergence MACD
Relative Strength Index RSI
Candlestick Pattern Recognition
Strategy Type: Trend following with momentum confirmation
Best Suited For: Stocks Forex Crypto Indices
Version 1.0
Compatible with Pine Script v5
Multi-Distribution Volume Profile (Zeiierman)█ Overview
Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more.
Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity.
On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map.
Highlights
Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.)
Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout
Value Area / Center Band computed from volume quantiles around the POC.
Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids
Separate bullish vs bearish volume at each price row for directional structure insights
█ How It Works
⚪ Profile Construction
The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows).
For each historical bar within the window:
It measures the candle’s price range, body, and wicks.
It assigns volume to rows according to the selected Profile Build Mode, for example:
* Range Uniform – volume spread evenly across the full high–low range.
* Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only.
* Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling).
HL2 / Body Center Weighted – center weights around the middle of the range/body.
Recent-Weighted Volume – amplify newer bars using exponential time decay.
Volume Squared (Hard) – aggressively boost bars with large volume.
Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars.
For more advanced shapes, the script uses continuous distributions across the bar’s span:
Linear, Triangular, Exponential to High
Cosine Centered, PERT
Gaussian, Lognormal, Cauchy, Laplace
Pareto, Weibull, Logistic, Gumbel
Gamma, Beta, Chi-Square, Student-t, F-Shape
Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes.
⚪ POC & Center Band (Value Area)
Once all rows are accumulated:
The row with the highest total volume becomes the Point of Control (POC)
The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution.
This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading.
⚪ Gradient Fade Engine
Each row also gets a fade metric, chosen in Fade Metric:
Volume – opacity based on relative volume.
Price Hits – how frequently that row was touched.
Blended (Vol+Hits) – average of volume & hits.
Freshness – emphasizes recent activity, controlled by Decay.
Volatility Impact – rows that saw larger ranges contribute more.
Dwell Time – where price “camped” the longest.
Reversal Density – where direction changes cluster.
Compression – tight-range compression zones.
Liquidity Void – inverse of volume (thin liquidity zones).
When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property.
█ How to Use
⚪ Explore Different Distribution Assumptions
Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure:
Use Range Uniform for classical profile reading.
Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering.
Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity.
Use Recent-Weighted Volume to prioritize the most recent structural behavior.
This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest.
⚪ Identify Value, Acceptance & Rejection Zones
Use the POC and Center of Profile (%) band to distinguish:
High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas
Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density
These regions can be used as:
Targets and origin zones for mean reversion
Context for breakout validation (leaving value)
Bias reference for intraday rotations or swing rotations
⚪ Read Directional Structure Within the Profile
Because each row is split into bullish vs bearish contributions, you can visually read:
Where buyers dominated a price region (large bullish slice)
Where sellers absorbed or defended (large bearish slice)
Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data.
⚪ Use Fade Metrics for Contextual Heatmaps
Each Fade Metric can be used for a different analytical lens:
Volume / Blended – emphasize where volume and activity are concentrated.
Freshness – highlight the most recently active zones that still matter.
Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges.
Reversal Density – locate micro turning points and battle zones.
Liquidity Void – visually pop out thin regions that may act as speedways or magnets.
█ Settings
Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families).
Bars Included – Number of bars used to build the profile from the current bar backward.
Price Levels – Vertical resolution of the profile: more levels = smoother but heavier.
Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top.
Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes.
Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric.
Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void).
Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer).
Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window.
Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction
The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels.
The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement.
Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation :
High Potential : 78 to 85 & 22 to 15
Mid Potential : 70 to 78 & 30 to 22
Low Potential : 58 to 62 & 42 to 38
These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds.
In summary, the logic behind the signals follows three principles :
Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome.
Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases.
Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses.
🔵 How to Use
This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement.
🟣 Trend continuation after entering the High Potential zone
When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high.
🟣 Reversal or slowdown after exiting the High Potential zone
If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause.
🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections
Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave.
🟣 Range structure and repetitive reactions inside the Mid Potential zone
When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates.
🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10)
Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation.
🔵 Settings
RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart.
Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum.
Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones.
🔵 Conclusion
Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate.
Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
Open Interest Z-Score [BackQuant]Open Interest Z-Score
A standardized pressure gauge for futures positioning that turns multi venue open interest into a Z score, so you can see how extreme current positioning is relative to its own history and where leverage is stretched, decompressing, or quietly re loading.
What this is
This indicator builds a single synthetic open interest series by aggregating futures OI across major derivatives venues, then standardises that aggregated OI into a rolling Z score. Instead of looking at raw OI or a simple change, you get a normalized signal that says "how many standard deviations away from normal is positioning right now", with optional smoothing, reference bands, and divergence detection against price.
You can render the Z score in several plotting modes:
Line for a clean, classic oscillator.
Colored line that encodes both sign and momentum of OI Z.
Oscillator histogram that makes impulses and compressions obvious.
The script also includes:
Aggregated open interest across Binance, Bybit, OKX, Bitget, Kraken, HTX, and Deribit, using multiple contract suffixes where applicable.
Choice of OI units, either coin based or converted to USD notional.
Standard deviation reference lines and adaptive extreme bands.
A flexible smoothing layer with multiple moving average types.
Automatic detection of regular and hidden divergences between price and OI Z.
Alerts for zero line and ±2 sigma crosses.
Aggregated open interest source
At the core is the same multi venue OI aggregation engine as in the OI RSI tool, adapted from NoveltyTrade's work and extended for this use case. The indicator:
Anchors on the current chart symbol and its base currency.
Loops over a set of exchanges, gated by user toggles:
Binance.
Bybit.
OKX.
Bitget.
Kraken.
HTX.
Deribit.
For each exchange, loops over several contract suffixes such as USDT.P, USD.P, USDC.P, USD.PM to cover the common perp and margin styles.
Requests OI candles for each exchange plus suffix pair into a small custom OI type that carries open, high, low and close of open interest.
Converts each OI stream into a common unit via the sw method:
In COIN mode, OI is normalized relative to the coin.
In USD mode, OI is scaled by price to approximate notional.
Exchange specific scaling factors are applied where needed to match contract multipliers.
Accumulates all valid OI candles into a single combined OI "candle" by summing open, high, low and close across venues.
The result is oiClose , a synthetic close for aggregated OI that represents cross venue positioning. If there is no valid OI data for the symbol after this process, the script throws a clear runtime error so you know the market is unsupported rather than quietly plotting nonsense.
How the Z score is computed
Once the aggregated OI close is available, the indicator computes a rolling Z score over a configurable lookback:
Define subject as the aggregated OI close.
Compute a rolling mean of this subject with EMA over Z Score Lookback Period .
Compute a rolling standard deviation over the same length.
Subtract the mean from the current OI and divide by the standard deviation.
This gives a raw Z score:
oi_z_raw = (subject − mean) ÷ stdDev .
Instead of plotting this raw value directly, the script passes it through a smoothing layer:
You pick a Smoothing Type and Smoothing Period .
Choices include SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA, and T3.
The helper ma function applies the chosen smoother to the raw Z score.
The result is oi_z , a smoothed Z score of aggregated open interest. A separate EMA with EMA Period is then applied on oi_z to create a signal line ma that can be used for crossovers and trend reads.
Plotting modes
The Plotting Type input controls how this Z score is rendered:
1) Line
In line mode:
The smoothed OI Z score is plotted as a single line using Base Line Color .
The EMA overlay is optionally plotted if Show EMA is enabled.
This is the cleanest view when you want to treat OI Z like a standard oscillator, watching for zero line crosses, swings, and divergences.
2) Colored Line
Colored line mode adds conditional color logic to the Z score:
If the Z score is above zero and rising, it is bright green, representing positive and strengthening positioning pressure.
If the Z score is above zero and falling, it shifts to a cooler cyan, representing positive but weakening pressure.
If the Z score is below zero and falling, it is bright red, representing negative and strengthening pressure (growing net de risking or shorting).
If the Z score is below zero and rising, it is dark red, representing negative but recovering pressure.
This mapping makes it easy to see not only whether OI is above or below its historical mean, but also whether that deviation is intensifying or fading.
3) Oscillator
Oscillator mode turns the Z score into a histogram:
The smoothed Z score is plotted as vertical columns around zero.
Column colors use the same conditional palette as colored line mode, based on sign and change direction.
The histogram base is zero, so bars extend up into positive Z and down into negative Z.
Oscillator mode is useful when you care about impulses in positioning, for example sharp jumps into positive Z that coincide with fast builds in leverage, or deep spikes into negative Z that show aggressive flushes.
4) None
If you only want reference lines, extreme bands, divergences, or alerts without the base oscillator, you can set plotting to None and keep the rest of the tooling active.
The EMA overlay respects plotting mode and only appears when a visible Z score line or histogram is present.
Reference lines and standard deviation levels
The Select Reference Lines input offers two styles:
Standard Deviation Levels
Plots small markers at zero.
Draws thin horizontal lines at +1, +2, −1 and −2 Z.
Acts like a classic Z score ladder, zero as mean, ±1 as normal band, ±2 as outer band.
This mode is ideal if you want a textbook statistical framing, using ±1 and ±2 sigma as standard levels for "normal" versus "extended" positioning.
Extreme Bands
Extreme bands build on the same ±1 and ±2 lines, then add:
Upper outer band between +3 and +4 Z.
Lower outer band between −3 and −4 Z.
Dynamic fill colors inside these bands:
If the Z score is positive, the upper band fill turns red with an alpha that scales with the magnitude of |Z|, capped at a chosen max strength. Stronger deviations towards +4 produce more opaque red fills.
If the Z score is negative, the lower band fill turns green with the same adaptive alpha logic, highlighting deep negative deviations.
Opposite side bands remain a faint neutral white when not in use, so they still provide structural context without shouting.
This creates a visual "danger zone" for position crowding. When the Z score enters these outer bands, open interest is many standard deviations away from its mean and you are dealing with rare but highly loaded positioning states.
Z score as a positioning pressure gauge
Because this is a Z score of aggregated open interest, it measures how unusual current positioning is relative to its own recent history, not just whether OI is rising or falling:
Z near zero means total OI is roughly in line with normal conditions for your lookback window.
Positive Z means OI is above its recent mean. The further above zero, the more "crowded" or extended positioning is.
Negative Z means OI is below its recent mean. Deep negatives often mark post flush environments where leverage has been cleared and the market is under positioned.
The smoothing options help control how much noise you want in the signal:
Short Z score lookback and short smoothing will react quickly, suited for short term traders watching intraday positioning shocks.
Longer Z score lookback with smoother MA types (EMA, RMA, T3) give a slower, more structural view of where the crowd sits over days to weeks.
Divergences between price and OI Z
The indicator includes automatic divergence detection on the Z score versus price, using pivot highs and lows:
You configure Pivot Lookback Left and Pivot Lookback Right to control swing sensitivity.
Pivots are detected on the OI Z series.
For each eligible pivot, the script compares OI Z and price at the last two pivots.
It looks for four patterns:
Regular Bullish – price makes a lower low, OI Z makes a higher low. This can indicate selling exhaustion in positioning even as price washes out. These are marked with a line and a label "ℝ" below the oscillator, in the bullish color.
Hidden Bullish – price makes a higher low, OI Z makes a lower low. This suggests continuation potential where price holds up while positioning resets. Marked with "ℍ" in the bullish color.
Regular Bearish – price makes a higher high, OI Z makes a lower high. This is a classic warning sign of trend exhaustion, where price pushes higher while OI Z fails to confirm. Marked with "ℝ" in the bearish color.
Hidden Bearish – price makes a lower high, OI Z makes a higher high. This is often seen in pullbacks within downtrends, where price retraces but positioning stretches again in the direction of the prevailing move. Marked with "ℍ" in the bearish color.
Each divergence type can be toggled globally via Show Detected Divergences . Internally, the script restricts how far back it will connect pivots, so you do not get stray signals linking very old structures to current bars.
Trading applications
Crowding and squeeze risk
Z scores are a natural way to talk about crowding:
High positive Z in aggregated OI means the market is running high leverage compared to its own norm. If price is also extended, the risk of a squeeze or sharp unwind rises.
Deep negative Z means leverage has been cleaned out. While it can be painful to sit through, this environment often sets up cleaner new trends, since there is less one sided positioning to unwind.
The extreme bands at ±3 to ±4 highlight the rare states where crowding is most intense. You can treat these events as regime markers rather than day to day noise.
Trend confirmation and fade selection
Combine Z score with price and trend:
Bull trends with positive and rising Z are supported by fresh leverage, usually more persistent.
Bull trends with flat or falling Z while price keeps grinding up can be more fragile. Divergences and extreme bands can help identify which edges you do not want to fade and which you might.
In downtrends, deep negative Z that stays pinned can mean persistent de risking. Once the Z score starts to mean revert back toward zero, it can mark the early stages of stabilization.
Event and liquidation context
Around major events, you often see:
Rapid spikes in Z as traders rush to position.
Reversal and overshoot as liquidations and forced de risking clear the book.
A move from positive extremes through zero into negative extremes as the market transitions from crowded to under exposed.
The Z score makes that path obvious, especially in oscillator mode, where you see a block of high positive bars before the crash, then a slab of deep negative bars after the flush.
Settings overview
Z Score group
Plotting Type – None, Line, Colored Line, Oscillator.
Z Score Lookback Period – window used for mean and standard deviation on aggregated OI.
Smoothing Type – SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA or T3.
Smoothing Period – length for the selected moving average on the raw Z score.
Moving Average group
Show EMA – toggle EMA overlay on Z score.
EMA Period – EMA length for the signal line.
EMA Color – color of the EMA line.
Thresholds and Reference Lines group
Select Reference Lines – None, Standard Deviation Levels, Extreme Bands.
Standard deviation lines at 0, ±1, ±2 appear in both modes.
Extreme bands add filled zones at ±3 to ±4 with adaptive opacity tied to |Z|.
Extra Plotting and UI
Base Line Color – default color for the simple line mode.
Line Width – thickness of the oscillator line.
Positive Color – positive or bullish condition color.
Negative Color – negative or bearish condition color.
Divergences group
Show Detected Divergences – master toggle for divergence plotting.
Pivot Lookback Left and Pivot Lookback Right – how many bars left and right to define a pivot, controlling divergence sensitivity.
Open Interest Source group
OI Units – COIN or USD.
Exchange toggles for Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Internally, all enabled exchanges and contract suffixes are aggregated into one synthetic OI series.
Alerts included
The indicator defines alert conditions for several key events:
OI Z Score Positive – Z crosses above zero, aggregated OI moves from below mean to above mean.
OI Z Score Negative – Z crosses below zero, aggregated OI moves from above mean to below mean.
OI Z Score Enters +2σ – Z enters the +2 band and above, marking extended positive positioning.
OI Z Score Enters −2σ – Z enters the −2 band and below, marking extended negative positioning.
Tie these into your strategy to be notified when leverage moves from normal to extended states.
Notes
This indicator does not rely on price based oscillators. It is a statistical lens on cross venue open interest, which makes it a complementary tool rather than a replacement for your existing price or volume signals. Use it to:
Quantify how unusual current futures positioning is compared to recent history.
Identify crowded leverage phases that can fuel squeezes.
Spot structural divergences between price and positioning.
Frame risk and opportunity around events and regime shifts.
It is not a complete trading system. Combine it with your own entries, exits and risk rules to get the most out of what the Z score is telling you about positioning pressure under the hood of the market.
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY.
Full Description:
Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure.
How It Works (Technical Overview):
The indicator combines three sophisticated mathematical approaches:
Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics
Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory
Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory
Signal Generation Process:
Step 1: Market Regime Detection
Chaotic Regime: High fractal complexity + rising entropy (avoid trading)
Trending Regime: Low fractal complexity + high phase space distance (fade breakouts)
Mean-Reverting Regime: Very low fractal complexity (fade extremes)
Step 2: Reverse Signal Logic
When traditional indicators would give:
BUY signal (breakout, oversold bounce, volatility spike) → QFCI shows SELL
SELL signal (breakdown, overbought rejection, volatility crash) → QFCI shows BUY
Step 3: Smart Signal Filtering
No consecutive same-direction signals
Adjustable minimum bars between signals
Multiple confirmation layers required
Unique Features:
1. Mathematical Innovation:
Original fractal dimension algorithm (not standard indicators)
Market entropy calculation from information theory
Phase space reconstruction from chaos theory
Multi-regime adaptive logic
2. Trading Psychology Advantage:
Contrarian by design - profits from market overreactions
Fades retail trader mistakes - enters when others are exiting
Reduces overtrading - strict signal frequency controls
3. Clean Visual Interface:
Only BUY/SELL labels - no chart clutter
Clear directional arrows - immediate signal recognition
Built-in alerts - never miss a trade
Recommended Settings:
Default (Balanced Approach):
Fractal Depth: 20
Entropy Period: 200
Min Bars Between Signals: 100
Aggressive Trading:
Fractal Depth: 10-15
Entropy Period: 100-150
Min Bars Between Signals: 50-75
Conservative Trading:
Fractal Depth: 30-40
Entropy Period: 300-400
Min Bars Between Signals: 150-200
Optimal Timeframes:
Primary: Daily, Weekly (best performance)
Secondary: 4-Hour, 12-Hour
Can work on: 1-Hour (with adjusted parameters)
How to Use:
For Beginners:
Apply indicator to chart
Use default settings
Wait for BUY/SELL labels
Enter on next candle open
Use 2:1 risk/reward ratio
Always use stop losses
For Advanced Traders:
Adjust parameters for your trading style
Combine with support/resistance levels
Use volume confirmation
Scale in/out of positions
Track performance by regime
Risk Management Guidelines:
Position Sizing:
Conservative: 1-2% risk per trade
Moderate: 2-3% risk per trade
Aggressive: 3-5% risk per trade (not recommended)
Stop Loss Placement:
BUY signals: Below recent swing low or -2x ATR
SELL signals: Above recent swing high or +2x ATR
Take Profit Targets:
Primary: 2x risk (minimum)
Secondary: Previous support/resistance
Tertiary: Trailing stops after 1.5x risk
IMPORTANT RISK DISCLOSURE
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
Trinity ATR Real Move DetectorTrinity ATR Real Move Detector
This ATR Energy Table indicator is one of the simplest yet most powerful filters you can have on a chart when trading short-dated or 0DTE options or swing trades on any timeframe from 1-minute up to 4-hour. Its entire job is to answer the single most important question in intraday and swing trading: “Does the underlying actually have enough short-term explosive energy right now to make a directional position worth the theta and the spread, or is this just pretty candles that will die in ten minutes?”
Most losing 0DTE and short-dated option trades happen because people buy or sell direction on a “nice-looking” breakout or pullback while the underlying is actually in low-energy grind mode. The premium decays faster than the move develops, and you lose even when you’re “right” on direction. This little table stops that from ever happening again.
Here’s what it does in plain English:
Every bar it measures two things:
- The current ATR on whatever timeframe you are using (1 min, 3 min, 5 min, 10 min, etc.). This tells you how big the average true range of the last 14 bars has been — in other words, how violently the stock or index is actually moving right now.
- The daily ATR (14-period on the daily chart). This is your benchmark for “normal” daily movement over the last two–three weeks.
It then multiplies the daily ATR by a small number (the multiplier you set) and compares the two. If the short-term ATR is bigger than that percentage of the daily ATR, the table turns bright green and says “ENOUGH ENERGY”. If not, it stays red and says “NOT ENOUGH”.
Why this works so well:
- Real explosive moves that carry for 0DTE and 1–3 DTE options almost always show a short-term ATR spike well above the recent daily average. Quiet grind moves never do.
- The comparison is completely adaptive — on a high-vol day the threshold automatically rises, on a low-vol day it automatically drops. You never have to guess if “2 points on SPY is big today”.
- It removes emotion completely. You simply wait for green before you even think about clicking buy or sell on an option.
Key settings and what to do with them:
- Energy Multiplier — this is the only number you ever touch. It is expressed as a decimal (0.15 = 15 % of the daily ATR). Lower = more signals, higher = stricter and higher win rate. The tooltip gives you the exact sweet-spot numbers for every popular timeframe (0.09 for 1-minute scalping, 0.13 for 3-minute, 0.14–0.16 for 5-minute, 0.15–0.19 for 10-minute, etc.). Just pick your timeframe once and type the number — done forever.
- ATR Length — leave it at 14. That’s the standard and works perfectly.
- Table Position — move the table to wherever you want on the chart (top-right, bottom-right, bottom-left, top-left).
- Table Size — make the text Tiny, Small, Normal or Large depending on how much screen space you have.
How this helps you make money and stop losing it:
- On most days you will see red 80–90 % of the time — that’s good! It is forcing you to sit on your hands instead of overtrading low-energy chop that eats premium.
- When it finally flips green you know institutions are actually pushing size right now — follow-through probability jumps from ~40 % to 65–75 % depending on the stock and timeframe.
- You stop buying calls on every green candle and puts on every red candle. You only strike when the market is genuinely “awake”.
- Over a week you take dramatically fewer trades, but your win rate and average winner size go way up — which is exactly how consistent intraday option profits are made.
In short, this tiny table is the closest thing to an “edge on/off switch” that exists for short-dated options. Red = preserve capital and go do something else. Green = pull the trigger with confidence. Use it religiously and you’ll immediately feel the difference in your P&L.
LL-HL PivotThis indicator scans for the bullish structure known as a Higher Low (HL) across multiple lengths simultaneously, automatically selects the most suitable pattern, and plots it on the chart.
Below is a detailed explanation of how it works.
1. Basic Calculation Method (Definition of LL and HL)
This indicator is built on TradingView’s ta.pivotlow function.
Detecting Pivot Lows
For a given length, a Pivot Low is identified as the lowest point among the candles within the specified range to the left and right.
LL and HL Determination
LL (Lowest Low): The most recent Pivot Low is treated as the previous low.
HL (Higher Low): When a new Pivot Low forms above the previous LL, it is recognized as an HL, and the setup is considered “complete.”
Identifying the Pivot Line
During the LL–HL structure, the highest high between them is identified and used as the breakout level (Pivot Line / resistance), where a horizontal line is drawn.
2. Multi-Length Scanning
Unlike standard indicators that use only one length (e.g., Length = 5), this indicator evaluates a full range of lengths.
Min Length to Max Length
Example: Min = 2, Max = 10
Internally, it functions as if nine separate indicators (Length 2, 3, 4 … 10) are running simultaneously.
This allows the indicator to capture:
Small waves (short-term pullbacks)
Larger waves (broader structural moves)
3. Priority Mode System
Because multiple lengths are calculated at the same time, different LL–HL patterns may appear simultaneously.Priority Mode determines which setup is selected and displayed.
A. Lowest LH
Selects the pattern with the lowest pivot line (intermediate high).
Advantages:
Produces the lowest possible entry price
B. Longest Length
Selects the pattern with the longest length.
Advantages:
Focuses on larger structures and broader waves
Filters out noise
C. Shortest Length
Selects the pattern with the shortest length.
Advantages:
Reacts quickly to small moves
Useful for scalping or fast trend-following
Captures very short-term pullbacks
4. Additional Behavior and Features
Real-Time Invalidation
If price breaks below the confirmed HL, the structure is immediately considered invalid.
All previously drawn lines and labels are removed instantly, preventing outdated structures from remaining on the chart.
Pivot Line Extension
As long as the HL remains intact, the Pivot Line (breakout level) continues extending to the right.
Alerts
An alert can be triggered the moment price breaks above the Pivot Line on a closing basis.
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
EMA21 Pullback BuyEMA21 Pullback Buy is a tool designed to identify constructive pullbacks to the 21-period EMA in strong uptrends.
It highlights candles where:
• The previous close was above EMA21
• The current low touches or dips below EMA21
• The candle closes back above EMA21
These candles are considered potential “support tests” in a trending stock.
You can configure a maximum number of valid tests to avoid late-stage entries.
The script:
• Colors the test candles (optional)
• Marks them with a small circle
• Triggers a buy signal (green triangle) on the first bullish candle that breaks above the test candle’s high
Optional alerts are included for both:
• New EMA21 test
• Buy trigger after valid test
The goal is to help traders find low-risk entries in clean, trending stocks — without chasing breakouts or reacting emotionally. Best used with strong RS names and proper trend context.
Liquidity Heatmap [Eˣ]💧 Liquidity Heatmap - Free Indicator
Overview
The Liquidity Heatmap reveals where stop losses are clustered in the market - the hidden liquidity zones that smart money targets. This indicator automatically identifies Buy-Side Liquidity (BSL) above price and Sell-Side Liquidity (SSL) below price, showing you exactly where institutional traders are likely to hunt for stops before major moves.
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🎯 What This Indicator Does
Identifies Liquidity Zones:
• Buy-Side Liquidity (BSL) - Stop losses from SHORT positions clustered above price
• Sell-Side Liquidity (SSL) - Stop losses from LONG positions clustered below price
• Automatically clusters nearby levels into high-probability zones
• Shows liquidity strength (1-5+) - higher numbers = more stops = bigger target
• Removes swept liquidity in real-time as price takes out stops
Visual Display:
• 🔴 Red Zones Above Price = Buy-Side Liquidity (shorts' stops)
• 🟢 Green Zones Below Price = Sell-Side Liquidity (longs' stops)
• Thicker/Darker Zones = Higher liquidity concentration
• BSL/SSL Labels = Show exact strength count
• Triangle Markers = Liquidity sweep alerts (when price takes stops)
Smart Features:
• Auto-removes old liquidity (customizable lookback period)
• Clusters nearby levels to reduce noise
• Tracks liquidity strength and age
• Updates in real-time as new swing points form
• Alerts when major liquidity zones are swept
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📊 How To Use This Indicator
Understanding Liquidity Concepts
What is Liquidity?
Liquidity refers to clusters of stop loss orders sitting in the market. These stops represent:
• Long traders' stop losses (below support) = Sell-Side Liquidity
• Short traders' stop losses (above resistance) = Buy-Side Liquidity
Why Does This Matter?
• Institutions NEED liquidity to fill large orders
• Price often "sweeps" liquidity zones before reversing
• Major liquidity = major target for smart money
• Understanding liquidity = understanding market maker behavior
The Liquidity Cycle:
1. Retail traders place stops at obvious levels (swing highs/lows)
2. Smart money identifies these clusters
3. Price is pushed to sweep the stops (liquidity grab)
4. Institutions fill their orders with this liquidity
5. Price reverses in the opposite direction
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💡 Trading Strategies
Strategy 1: Liquidity Sweep Reversals
Best For: Swing trading, catching reversals
Timeframes: 15min, 1H, 4H, Daily
Entry Setup:
1. Identify strong Sell-Side Liquidity (SSL) zone below price
2. Wait for price to sweep down into the SSL zone
3. Look for rejection/reversal candle pattern (pin bar, engulfing)
4. Enter LONG after sweep and reversal confirmation
5. Stop loss: Below the swept liquidity zone
6. Target: Opposite liquidity zone or key resistance
Why It Works: Smart money sweeps stops to fill buy orders, then pushes price higher
Example:
• SSL zone at $45,000 with strength 3
• Price drops to $44,950, sweeps the SSL
• Strong bullish reversal candle forms
• Enter long at $45,100
• Target: BSL zone at $47,000
Strategy 2: Liquidity-to-Liquidity Runs
Best For: Day trading, scalping
Timeframes: 5min, 15min, 1H
Entry Setup:
1. Price sweeps Sell-Side Liquidity below and reverses up
2. Identify Buy-Side Liquidity zone above
3. Enter LONG targeting the BSL zone above
4. Exit near/at the BSL zone (don't wait for sweep)
5. Stop loss: Below recent swing low
Why It Works: Price moves from liquidity pool to liquidity pool
Variation - Reverse for Shorts:
• BSL sweep above → Look for SSL zone below
• Enter short targeting lower liquidity
Strategy 3: Liquidity Avoidance (Stop Placement)
Best For: Improving win rate on existing strategies
Timeframes: All
Rules:
1. NEVER place stops exactly at obvious liquidity zones
2. Place stops beyond the liquidity zone with buffer
3. Or place stops before the liquidity zone (tighter, riskier)
4. Monitor liquidity strength - avoid zones with strength 3+
Why It Works: Market makers hunt obvious stop clusters
Example:
• Trading long, swing low at $100 (SSL zone, strength 4)
• Bad: Stop at $99.50 (will get swept)
• Better: Stop at $98.50 (beyond the liquidity)
• Alternative: Stop at $100.50 (tighter, before sweep zone)
Strategy 4: Confluence Trading
Best For: High probability setups
Timeframes: 1H, 4H, Daily
Entry Setup:
1. Find liquidity zone that aligns with:
• Major support/resistance level
• Fibonacci retracement (0.618, 0.786)
• Trendline
• Round psychological number ($50,000, $2,000, etc)
2. Wait for sweep of this high-confluence zone
3. Enter on reversal with multiple confirmations
4. Larger position size justified by confluence
Why It Works: Multiple factors = institutional interest = higher probability
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⚙️ Settings Explained
Core Settings
Swing Detection Length (Default: 10)
• Number of bars left/right to identify swing highs and lows
• Lower values (5-8): More sensitive, more liquidity zones, more noise
• Higher values (12-20): Less sensitive, only major swings, cleaner chart
• Recommended: 8-10 for intraday, 10-15 for swing trading
Liquidity Lookback Bars (Default: 100)
• How many historical bars to track liquidity zones
• Lower values (50-75): Shows only recent liquidity
• Higher values (100-200): Shows longer-term liquidity clusters
• Zones older than this are automatically removed
• Recommended: 100-150 for most timeframes
Zone Proximity % (Default: 0.5)
• Percentage threshold to group nearby levels into single zone
• Lower values (0.2-0.4): Keeps levels separate, more zones
• Higher values (0.6-1.0): Aggressive clustering, fewer zones
• Recommended: 0.4-0.6 for crypto, 0.3-0.5 for forex, 0.5-0.8 for stocks
Visualization Settings
Show Buy-Side Liquidity
• Toggle ON/OFF red zones above price
• Turn OFF if only interested in downside liquidity
Show Sell-Side Liquidity
• Toggle ON/OFF green zones below price
• Turn OFF if only interested in upside liquidity
Show Liquidity Labels
• Toggle BSL/SSL labels with strength numbers
• Turn OFF for cleaner chart appearance
• Keep ON to see exact liquidity strength
Display Style
• Boxes: Filled rectangular zones (best for visualizing strength)
• Lines: Horizontal dashed lines (minimal, clean look)
• Both: Boxes + Lines (maximum visibility)
Color Intensity
• Low: 85% transparency (subtle, less distracting)
• Medium: 75% transparency (balanced visibility)
• High: 65% transparency (bold, maximum visibility)
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📱 Info Panel Guide
Located in the top-right corner, the info panel provides real-time liquidity statistics:
Buy-Side Zones
• Count of active BSL zones above current price
• Higher number = More upside targets for price
Sell-Side Zones
• Count of active SSL zones below current price
• Higher number = More downside targets for price
Total Zones
• Combined count of all active liquidity
• Useful for gauging overall market structure
Nearest BSL
• Distance in % to closest Buy-Side Liquidity above
• Example: +2.5% means BSL is 2.5% above current price
• Quick reference for next upside target
Nearest SSL
• Distance in % to closest Sell-Side Liquidity below
• Example: -1.8% means SSL is 1.8% below current price
• Quick reference for next downside target
Liquidity Bias
• ⬆️ Bullish : More BSL than SSL (upside targets dominate)
• ⬇️ Bearish : More SSL than BSL (downside targets dominate)
• ↔️ Balanced: Equal liquidity on both sides (range-bound)
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🎓 Understanding Liquidity Strength
What Do The Numbers Mean?
Strength 1 : Single swing point
• Light liquidity, minor target
• Can be ignored in trending markets
• Useful in ranging/choppy conditions
Strength 2-3 : Moderate liquidity cluster
• Multiple nearby swing points merged
• Decent target for intraday moves
• Watch for potential sweeps
Strength 4-5 : Strong liquidity cluster
• Major cluster of stops
• High-probability target for institutions
• Expect reactions when swept
Strength 6+ : Extreme liquidity pool
• Massive stop cluster (rare)
• Critical zone - high probability of sweep
• Often marks major support/resistance
• Ideal for confluence setups
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📱 Alert Setup
This indicator includes 2 powerful alert types:
1. Buy-Side Liquidity Sweep
• Triggers when price sweeps BSL zone above
• Shows potential bullish reversal opportunity
• Often precedes upward continuation after sweep
2. Sell-Side Liquidity Sweep
• Triggers when price sweeps SSL zone below
• Shows potential bearish reversal opportunity
• Often precedes downward continuation after sweep
To Set Up Alerts:
1. Click the "Alert" button (clock icon) in TradingView
2. Condition: Select "Liquidity Heatmap"
3. Choose alert type: BSL Sweep or SSL Sweep
4. Configure notification method (push, email, webhook)
5. Click "Create"
Pro Tip: Set alerts for both BSL and SSL sweeps to catch opportunities in both directions
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💎 Pro Tips & Best Practices
✅ DO:
• Wait for confirmation - Don't enter immediately on sweep, wait for reversal pattern
• Combine with trend - SSL sweeps in uptrends = higher probability longs
• Check multiple timeframes - 1H liquidity + 4H liquidity = strongest zones
• Monitor strength - Focus on zones with strength 3+
• Use proper risk management - Liquidity sweeps can go further than expected
• Watch for re-sweeps - Sometimes liquidity zones get swept multiple times
• Consider volume - High volume sweeps = stronger reversal potential
⚠️ DON'T:
• Don't fade strong trends - In strong trends, sweeps often continue rather than reverse
• Don't overtrade - Not every sweep is a tradeable setup
• Don't ignore context - Check broader market conditions and news
• Don't use alone - Combine with price action, support/resistance, and other analysis
• Don't place stops at liquidity - Your stops will be hunted
• Don't expect perfection - Some sweeps fail, some zones never get hit
🎯 Best Timeframes:
• Scalping: 5min, 15min (fast moves, frequent sweeps)
• Day Trading: 15min, 1H (balanced view)
• Swing Trading: 1H, 4H, Daily (major liquidity zones)
• Position Trading: 4H, Daily, Weekly (institutional liquidity)
🔥 Best Markets:
• Crypto (high volatility, frequent liquidity grabs)
• Forex (EUR/USD, GBP/USD - liquid pairs)
• Futures (ES, NQ, CL - high liquidity contracts)
• Stocks (large caps with high volume)
⏰ Best Times:
• Market opens (high volatility = liquidity hunting)
• Before/after major news events
• Session overlaps (London/NY for forex)
• First hour and last hour of trading
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🚀 What Makes This Different?
Unlike basic pivot indicators, the Liquidity Heatmap:
• Institutional Perspective - Shows where smart money hunts stops
• Dynamic Clustering - Automatically groups nearby levels for clarity
• Strength Tracking - Not just where, but HOW MUCH liquidity exists
• Auto-Cleanup - Removes swept and old liquidity automatically
• Visual Clarity - Instant understanding of market structure
• Actionable - Clear targets and reversal zones for trading
• Real-Time Updates - Adapts as market structure evolves
Based On Professional Concepts:
• Order flow analysis
• Market maker behavior
• Institutional trading techniques
• Liquidity engineering principles
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📈 Common Liquidity Patterns
Pattern 1: The Double Sweep
• Price sweeps SSL below, reverses up
• Price sweeps BSL above, reverses down
• Back to original range
• Trading: Fade the second sweep for mean reversion
Pattern 2: The Cascade
• Multiple SSL zones stacked below
• Price sweeps first zone, continues to next
• Chain reaction of stop losses triggering
• Trading: Ride the momentum to lowest zone
Pattern 3: The Fake-Out
• Price approaches liquidity but doesn't quite sweep
• Reverses before hitting the zone
• "Scared money" didn't wait for full sweep
• Trading: Wait for actual sweep, don't anticipate
Pattern 4: The Absorption
• Price sweeps major liquidity zone (strength 5+)
• No reversal, just consolidation
• Institutions absorbed all liquidity
• Trading: Wait for breakout direction, likely continuation
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📈 Upgrade Your Trading Arsenal
This free indicator gives you institutional-level liquidity analysis. Want more?
🔥 Check out my premium scripts for:
• Automated entry signals with liquidity confirmation
• Multi-timeframe liquidity analysis
• Advanced stop loss management that avoids liquidity zones
• Backtested strategies with performance tracking
• Custom alerts for high-probability setups
• And much more...
👉 Visit my profile to see all available tools!
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📝 Important Notes
• Liquidity analysis is one piece of the puzzle - use with other analysis methods
• Not all liquidity zones get swept - some remain untouched
• Market conditions change - adapt your strategy accordingly
• Always use proper position sizing and risk management
• Liquidity sweeps can be violent - use appropriate stop losses
• Practice on demo accounts before trading with real capital
• Past liquidity patterns don't guarantee future price action
Disclaimer: This indicator is for educational purposes. Trading involves risk. Always do your own research and never risk more than you can afford to lose.
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🙏 Support This Work
If you find this indicator valuable:
• ⭐ Give it a thumbs up
• 💬 Share your best liquidity sweep trades in the comments
• 🔔 Follow for more free professional-grade tools
• 🚀 Share with traders who need to understand liquidity
Got questions? Drop a comment and I'll help you master liquidity trading!
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Developed with ❤️ for traders who want to think like institutions
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Version History
• v1.0 - Initial release with dynamic liquidity detection and clustering
Fibonacci Volume Profile [Auto-Anchored & Dynamic]The Concept: Structure Meets Participation Traders often treat Market Structure (Fibonacci Retracements) and Market Participation (Volume) as separate tools. This indicator merges them into a single, cohesive system.
Standard Volume Profiles are often static or require manual placement. Standard Fibonacci tools show where price might reverse, but not how much effort was spent there. This script solves that by automatically anchoring a high-definition Volume Profile to your most recent market swing, giving you a dynamic view of volume distribution relative to Fibonacci structural zones.
How It Works This is not a simple "tick" volume profile. It is a custom-built, array-based engine that:
Identifies the Swing: Automatically scans the last X bars (user-defined) to find the absolute Swing High and Swing Low.
Anchors the Profile: Draws the Volume Profile precisely covering the time duration of that swing.
Calculates Distribution: Using a "Smart Fill" algorithm, it distributes volume across price rows without gaps, ensuring a solid, institutional-grade look even on steep trends.
Dynamic Scaling: The width of the profile is responsive. It occupies a percentage of the swing's duration, meaning it scales perfectly whether you are zooming in, zooming out, or dragging chart margins.
Key Features
Auto-Anchored: No need to manually draw "Fixed Range" tools. The script adapts as new highs/lows are made.
Smart Fill Technology: Eliminates the "barcode" effect seen in basic scripts. Price rows are filled continuously for a solid distribution curve.
Split Volume Analysis: Bars are dual-colored (Teal/Red by default) to visualize Buy (Up Candle) vs. Sell (Down Candle) volume composition at every price level.
Point of Control (POC): Automatically highlights the price level with the highest volume (The "King" line) in Red.
Responsive Geometry: The profile width is defined as a percentage of the swing itself. It breathes with the chart.
Garbage Collection: Optimized for performance. Old drawings are cleared instantly when the chart moves, preventing "ghost" drawings or lag.
Settings Guide
Lookback Length: How far back the script scans for the High/Low (Default: 200). Increase this for higher timeframes or longer trends.
Resolution: The number of rows in the profile. (Default: 100). Higher = smoother definition.
Width (% of Swing): Controls how wide the profile is relative to the trend duration. (Default: 40%).
Colors: Fully customizable Buy, Sell, and POC colors to match your dark/light theme.
Disclaimer This script is for informational and analytical purposes only. It visualizes past market data and does not constitute financial advice or a signal to trade.
CRR HUT NEON TARGET You look for this combo:
Trend up
White EMA 20 above red EMA 200.
Price above EMA 20 and EMA 30.
HUD BUY status
Row says:
“COMPRA MICRO 10-20p” (aggressive scalp) or
“COMPRA SCALPING” or
“COMPRA NORMAL”
Green / teal text and green “●” on the left.
Micro engine conditions
Multi-TF bullish (1m–5m–15m–30m agree, multiTfBull = true).
RSI > 50 and MACD bullish on 1m.
ATR filter OK (sufAtrBuy = true) → volatility is not dead.
If aggressive mode ON: it accepts big bullish candle (pump) + at least not bearish on 15m.
Fibo Long Zone (extra confluence, not mandatory)
Last big up move detected.
Green 0–25% band (long zone).
Best: price pulls back into that 0–25% long zone and HUD gives BUY (green bar / triangle).
Execution (Block A – Fibo Targets)
When longSignal triggers, script draws:
ENTRY LONG line at entryPrice.
SL below low – ATR * SLmult.
TP1 / TP2 / TP3 = +1R / +2R / +3R.
Stop moves to break-even and then trails as TP1/TP2/TP3 are hit.
👉 Summary BUY sentence:
Buy when trend is UP, HUD shows green BUY (COMPRA MICRO/SCALPING/NORMAL), volatility is enough, and (ideally) price is in the green 0–25% pullback zone of the last strong up move.
3. WHEN TO SELL (SHORT)
Mirror logic:
Trend down
White EMA 20 below red EMA 200.
Price below EMA 20 and EMA 30.
HUD SELL status
Row says:
“VENTA MICRO 10-20p” (aggressive scalp) or
“VENTA SCALPING” or
“VENTA NORMAL”
Red / orange text and red “●” on the right.
Micro engine conditions
Multi-TF bearish (1m–5m–15m–30m agree, multiTfBear = true).
RSI < 50 and MACD bearish on 1m.
ATR filter OK (sufAtrSell = true).
If aggressive mode ON: it accepts big bearish candle (drop) + at least not bullish on 15m.
Fibo Short Zone (extra confluence)
Last big down move detected.
Red 0–25% band (short zone).
Best: price pulls back into that 0–25% short zone and HUD gives SELL.
Execution (Block A – Fibo Targets)
When shortSignal triggers, script draws:
ENTRY SHORT line at entryPrice.
SL above high + ATR * SLmult.
TP1 / TP2 / TP3 = –1R / –2R / –3R.
Stop moves to break-even and then trails as TP1/TP2/TP3 are hit.
👉 Summary SELL sentence:
Sell when trend is DOWN, HUD shows red SELL (VENTA MICRO/SCALPING/NORMAL), volatility is enough, and (ideally) price is in the red 0–25% pullback zone of the last strong down move.
4. EXTRA FILTERS / CONFIRMATIONS
Use these only as extra confluence, not as the main trigger:
SMC (BOS + Liquidity) filter
Optional: useSMCfilter = true.
Longs: recent BOS UP + liquidity sweep low (SWEEP LOW).
Shorts: recent BOS DOWN + liquidity sweep high (SWEEP HIGH).
Trendline Breakouts (ChartPrime block)
Long: green “Target” label above price + breakout arrow below bar → extra confirmation to follow an up breakout.
Short: red “Target” label below price + breakout arrow above bar.
Angle Market Structure (BigBeluga)
Green counts 1–2–3 above highs → bullish strength zones.
Pink counts 1–2–3 below lows → bearish strength zones.
Buy closer to +1/+2 after demand; sell closer to –1/–2 after supply.
Target Trend (TT)
TT candles green → bullish bias, TT Up triangles below price.
TT candles brown → bearish bias, TT Down triangles above price.
Best: BUY when HUD BUY + TT is green/up; SELL when HUD SELL + TT is brown/down.
5. WHEN TO STAY OUT
Don’t trade when:
HUD shows “NEUTRO (NO COMPRA)” and “NEUTRO (NO VENTA)”.
ATR filters fail (low volatility) → sufAtrBuy or sufAtrSell false.
Multi-TF is mixed (no clear bull or bear alignment).
Price is far from Fibo zones and far from EMAs (chasing extended move).
RSI Pivot Breaks█ OVERVIEW
RSI Pivot Breaks is an RSI-based indicator that detects breakout events on oscillator-based pivot levels (RSI or MA RSI).
The tool automatically plots pivot levels, tracks their breakouts, highlights momentum shifts, and generates alerts for key events (pivot breaks and OB/OS crosses).
The indicator is designed primarily for momentum strategies — pivot breakouts often precede directional price moves, making RSI Pivot Breaks a powerful tool for identifying accelerations and changes in strength.
█ CONCEPTS
The indicator analyzes local RSI extremes and transforms them into dynamic support/resistance levels.
When RSI or MA RSI breaks the last pivot, it signals a shift in momentum balance, often leading to an impulse move.
Key concepts:
- pivot highs/lows detected on RSI or MA RSI,
- pivot lines extend forward until broken,
- pivot filters restrict pivot detection to specific RSI zones,
- OB/OS levels provide contextual momentum thresholds.
█ FEATURES
Pivot Detection & Breakouts
- Detection of pivot highs and lows on RSI or MA RSI.
- Pivot filters allow you to limit pivot detection to specific RSI ranges (e.g., only bullish pivots below 50 or bearish pivots above 50).
- Pivot lines update automatically after breakout.
Background highlights:
- green on pivot-high breakouts,
- red on pivot-low breakouts.
RSI & MA RSI
- Dynamic RSI colors based on momentum direction.
- Optional MA RSI line (SMA/EMA/RMA/WMA) usable as a smoother pivot source.
OB / OS Zones
- Fully adjustable overbought/oversold levels.
- Dedicated OB/OS colors.
- Optional gradient backgrounds.
Highlights
- Instant identification of moments when RSI breaks a key pivot level.
Alerts:
- pivot high breakouts.
- pivot low breakouts.
- OB crosses.
- OS crosses.
█ HOW TO USE
Add the indicator:
Indicators → RSI Pivot Breaks.
RSI Settings
- RSI Length – core RSI period.
- RSI MA Length & Type – MA RSI smoothing parameters.
Pivot Settings
- Pivot Left / Pivot Right – number of bars required to form a pivot and also the number of bars of delay before the pivot becomes confirmed.
(Higher values produce more reliable but slower pivots.)
Pivot Filters
- Minimum/maximum allowed RSI levels for pivot Highs and Lows.
- Examples:
- detect only pivot Highs at low RSI values.
- ignore pivots during extreme momentum.
- allow only mid-range pivot detection depending on strategy.
Visualization
- Toggles for RSI and MA RSI visibility.
- Optional gradients.
- Full color and transparency customization.
OB/OS Levels
- Adjustable thresholds depending on instrument volatility and strategy style.
█ SIGNAL INTERPRETATION
BUY
- RSI breaks the latest pivot high.
- RSI crosses upward out of OS.
- Context example: pivot lows forming a rising sequence.
SELL
- RSI breaks the latest pivot low.
- RSI drops downward from OB.
- Context example: pivot highs forming a declining sequence.
Trend / Momentum
- Pivot breakouts indicate acceleration or continuation of momentum.
- MA-based pivots provide smoother and more stable momentum structure.
█ APPLICATIONS
- Momentum Trading – pivot breaks as early acceleration signals.
- Scalping & Intraday – fast RSI pivots react quickly to short-term shifts.
- Swing Trading – smoother pivots using MA RSI for higher-timeframe structure.
- Divergence Detection – pivot behavior helps reveal divergence patterns, e.g.:
- RSI pivots rising while price is falling → potential early momentum reversal.
- Custom Filtering – pivot filters allow, for example:
- blocking bullish signals near OB.
- blocking bearish signals near OS.
- detecting pivots only above/below mid-range during strong trends,
depending entirely on strategy design.
█ NOTES
- Pivot detection includes natural delay equal to the Left/Right parameters.
- Pivot filters significantly change the character of signals, allowing fine-tuning of aggressiveness for any strategy.
RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values.
This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true).
The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets.
Underlying Concepts and Calculations
Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10).
Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks)
→ dynamic, outlier-resistant centerline.
Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost))
→ bands = median ± 1σ / 2σ.
Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context.
Trend Bias Coloring
Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals.
Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85).
Originality and Development Rationale
The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies:
(BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more),
the Magnificent 7 stocks,, QQQ, SPX, and gold.
Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe.
How to Use It
Ideal for swing / position trading on the 1h to daily charts (the same defaults work).
Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42
→ green background
→ enter long, exit the first bar the condition disappears.
Overbought (high-probability short): RSI crosses above upper 2σ band
→ magenta background
→ enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea)
Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum.
Always confirm with price action and manage risk appropriately.
This indicator is not a standalone trading system.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Ultra Optimized + Strong S/R + Sure-Shot Signals + Screen PanelUltra Optimized + Strong S/R + Sure-Shot Signals + Screen Panel
SNIPER ORB# 🎯 SNIPER ORB TRADING CHEAT SHEET
## Quick Reference Guide for Live Trading
---
## 📊 VISUAL IDENTIFICATION GUIDE
```
═══════════════════════════════════════════════════════════════════
YOUR CHART AT A GLANCE
═══════════════════════════════════════════════════════════════════
🔵 BRIGHT BLUE BOX (5min) → Fastest ORB, early warning signals
🔷 CYAN BOX (15min) → Mid-term institutional reference
🟣 PURPLE BOX (30min) → PRIMARY TRADING RANGE (your base)
🟢 GREEN DASHED LINES → Upside profit targets (long)
🔴 RED DASHED LINES → Downside profit targets (short)
🟡 GOLD LINE (VWAP) → Institutional fair value anchor
═══════════════════════════════════════════════════════════════════
```
---
## ⏰ SESSION TIMING MATRIX
| Session | Start Time | ORB Complete | Breakout Window | End Time |
|---------|-----------|--------------|-----------------|----------|
| **London Open** | 3:00 AM ET | 3:30 AM ET | 3:30-5:00 AM | 9:30 AM ET |
| **New York Open** | 9:30 AM ET | 10:00 AM ET | 10:00-11:30 AM | 5:00 PM ET |
**💡 GOLDEN RULE**: Wait for 30min ORB to **complete** before taking breakout trades!
---
## 🎯 THE 5 HIGH-PROBABILITY SETUPS
### **SETUP #1: CLEAN BREAKOUT** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB complete (10:00 AM for NY / 3:30 AM for London)
✅ Price breaks ABOVE purple high (bullish) or BELOW purple low (bearish)
✅ VWAP confirms direction:
• Long: VWAP below price
• Short: VWAP above price
✅ Volume spike on breakout candle
ENTRY: Breakout candle close
STOP: Inside 30min ORB (opposite side)
TARGET 1: First green/red target (0.5x range)
TARGET 2: Second target (1x range)
TARGET 3: Third target (1.5x range)
WIN RATE: 65-75% | R:R = 1:2 minimum
```
---
### **SETUP #2: FALSE BREAKOUT REVERSAL** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks purple high/low initially
✅ Fails to hold (wick reversal or immediate rejection)
✅ Re-enters 30min ORB zone
✅ VWAP acts as rejection point
✅ Breaks opposite side of 30min ORB
ENTRY: When price breaks opposite ORB boundary
STOP: Original false breakout high/low
TARGET 1: VWAP (quick scalp)
TARGET 2: First opposite target line
WIN RATE: 70-80% | R:R = 1:3+ (trapped traders exit)
NOTES: Most profitable setup - institutions hunting stops
```
---
### **SETUP #3: TRIPLE ORB COMPRESSION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ All 3 ORBs tightly aligned (5min, 15min, 30min overlap)
✅ Range < 0.5% of price (very tight)
✅ VWAP sitting in middle of compression
✅ Multiple candles consolidating inside
ENTRY: Simultaneous break of ALL 3 ORBs
STOP: Middle of compression zone
TARGET: 2x-3x normal targets (explosive move)
WIN RATE: 60-70% | R:R = 1:4+ (volatility expansion)
NOTES: Low volume → high volume shift = institutional play
```
---
### **SETUP #4: VWAP RETEST CONTINUATION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB already broken (trend established)
✅ Price pulls back to VWAP
✅ VWAP acts as dynamic support/resistance
✅ Rejection candle forms at VWAP
ENTRY: Candle closes back in trend direction from VWAP
STOP: 10-15 points beyond VWAP
TARGET: Next target line (1x, 1.5x, 2x)
WIN RATE: 70-75% | R:R = 1:2
NOTES: Safest continuation entry, institutions defending VWAP
```
---
### **SETUP #5: OPENING RANGE FADE** ⭐⭐⭐
```
CONDITIONS:
✅ Price stuck inside 30min ORB for 1+ hours post-formation
✅ Multiple failed attempts to break high or low
✅ VWAP in dead center (neutral)
✅ Decreasing volume
ENTRY: Sell at purple high, buy at purple low (range bound)
STOP: Outside ORB by 20 points
TARGET: Opposite ORB boundary + VWAP
WIN RATE: 55-65% | R:R = 1:1.5
NOTES: Use on slow/choppy days only, exit if breakout starts
```
---
## 🛡️ RISK MANAGEMENT RULES
### **Position Sizing Matrix**
```
Account Size: $50,000 example
Risk Per Trade: 1-2% max
ORB Range | Stop Distance | Position Size (1% risk) | YM Contracts
-------------|---------------|-------------------------|-------------
50 points | 50 points | $500 risk | 1 contract
100 points | 100 points | $500 risk | 1 contract
150 points | 150 points | $500 risk | 1 contract
200 points | 200 points | $500 risk | 1 contract
Formula: Risk $ ÷ (Stop Distance × $5 per point) = Contracts
```
### **The 3-Strike Rule**
```
✅ Strike 1: Full position size
❌ Stop hit → Strike 2: Half position size
❌ Stop hit → Strike 3: 1/4 position size
❌ Stop hit → DONE for the session
```
### **Profit Taking Strategy**
```
TARGET 1 (0.5x): Take 50% off, move stop to breakeven
TARGET 2 (1x): Take 30% off, trail stop 20 points
TARGET 3 (1.5x): Take 15% off, let 5% run to 2x-3x
```
---
## ⚠️ DO NOT TRADE IF...
```
🚫 30min ORB incomplete (wait until 10:00 AM NY / 3:30 AM London)
🚫 ORB range < 30 points YM (too tight, likely fake breakout)
🚫 ORB range > 300 points YM (too wide, unpredictable)
🚫 Major news release within 30 minutes
🚫 You've hit 3 losses in the session (walk away)
🚫 Price whipsawing violently (wait for structure)
🚫 You're tired, emotional, or distracted
```
---
## 🔍 PRE-MARKET CHECKLIST
**Every Morning Before Trading:**
```
□ Check economic calendar (avoid high-impact news)
□ Identify previous day's high/low (macro context)
□ Note overnight price action (gap up/down?)
□ Load SNIPER ORB on 1min or 5min chart
□ Select active session (London or New York)
□ Set TradingView alerts for ORB breakouts
□ Prepare stop/target orders in advance
□ Review yesterday's ORB ranges (context)
```
---
## 🎨 INDICATOR SETTINGS QUICK REFERENCE
### **Default Configuration (Recommended)**
```
Session: New York
Number of Targets: 3
Target % Increment: 50% (gives 0.5x, 1x, 1.5x)
Show VWAP: ON
VWAP Line Width: 2
ORB Line Width: 2
Target Line Width: 1
```
### **Aggressive Day Trading Setup**
```
Session: New York
Number of Targets: 5
Target % Increment: 30% (tighter targets)
Show VWAP: ON
```
### **Conservative Swing Setup**
```
Session: New York
Number of Targets: 2
Target % Increment: 75% (wider targets)
Show VWAP: ON
```
---
## 📈 OPTIMAL TIMEFRAME BY STYLE
| Trading Style | Recommended TF | Why? |
|--------------|----------------|------|
| **Scalper** | 1-minute | See every tick, 5-15 min holds |
| **Day Trader** | 5-minute | Balanced view, 30-90 min holds |
| **Swing Trader** | 15-minute | Less noise, 2-4 hour holds |
**💡 PRO TIP**: Use 5min chart for entries, but watch 1min for precise timing!
---
## 🧠 PATTERN RECOGNITION QUICK GUIDE
### **Bullish ORB Patterns**
```
1. "Staircase" → Price respects each target as new support
2. "Rocket Launch" → Clean break through all targets no pullback
3. "VWAP Bounce" → Pullback to VWAP, then continuation higher
4. "Triple Compression" → All ORBs converge then explosive breakout
```
### **Bearish ORB Patterns**
```
1. "Waterfall" → Price cascades through all downside targets
2. "Failed High" → Breaks top, immediately reverses to bottom
3. "VWAP Rejection" → Hits VWAP from above, hard rejection down
4. "Slow Bleed" → Gradual drift lower, respecting each target
```
### **Neutral/Chop Patterns**
```
1. "Ping Pong" → Price bouncing between ORB high/low repeatedly
2. "Flat VWAP" → VWAP horizontal, price hugging it (no trade)
3. "Wide Range" → ORB > 300 points, too much uncertainty
4. "Gap Confusion" → Opens far outside all ORBs, wait for reset
```
---
## 📊 CONFLUENCE SCORING SYSTEM
**Rate Each Trade 1-10 Before Entry:**
```
Breakout confirmed (30min ORB): +2 points
VWAP alignment: +2 points
Volume spike on breakout: +1 point
All 3 ORBs align: +1 point
Clean candle close beyond ORB: +1 point
Your YM SNIPER GOD MODE signal: +2 points
Time: 10:00-11:30 AM ET window: +1 point
SCORING:
9-10 points = SNIPER SETUP (maximum size)
7-8 points = GOOD TRADE (standard size)
5-6 points = MARGINAL (half size or skip)
< 5 points = NO TRADE (wait for better)
```
---
## 🎯 INTEGRATION WITH YM ULTIMATE SNIPER v8.1
**The Perfect Confluence:**
```
STEP 1: SNIPER ORB identifies the STRUCTURE
→ 30min ORB defines "Zones That Matter"
→ VWAP shows institutional bias
→ Targets define profit zones
STEP 2: YM ULTIMATE SNIPER triggers the ENTRY
→ Wait for GOD MODE signal at ORB boundary
→ 6-gate system confirms institutional pressure
→ Score ≥9.0, fat body ≥70%, delta dominance ≥70%
STEP 3: Execute with PRECISION
→ ORB break + GOD MODE = highest probability
→ Enter only when BOTH systems align
→ This is TRUE "sniper" trading
```
---
## 💡 COMMON MISTAKES TO AVOID
```
❌ Entering BEFORE 30min ORB completes
✅ Wait until 10:00 AM (NY) or 3:30 AM (London)
❌ Ignoring VWAP position
✅ Always check: is VWAP confirming your directional bias?
❌ Chasing breakouts after 50+ point move
✅ Wait for pullback to VWAP or first target
❌ Trading during lunch (12-1 PM ET)
✅ Volume dies, false signals increase
❌ Using same target % in all conditions
✅ Adjust: 30-40% in chop, 50-75% in trends
❌ Forgetting to move stop to breakeven at Target 1
✅ NEVER give back a winning trade
❌ Overtrading on slow days
✅ Some days only have 1-2 clean setups, that's okay!
❌ Not respecting the 3-strike rule
✅ 3 losses = done, come back tomorrow
```
---
## 📱 MOBILE TRADING SETUP
**TradingView Mobile App:**
```
1. Save SNIPER ORB as "Default Layout"
2. Enable push notifications for alerts
3. Set bracket orders (stop + targets) in advance
4. Keep phone charged during trading hours
5. Have broker app ready for quick execution
```
---
## 🔔 ALERT CONFIGURATION
**Essential Alerts to Set:**
```
1. "30min ORB Complete"
→ Time-based: 10:00 AM ET (NY) / 3:30 AM ET (London)
2. "ORB Breakout Up"
→ Built-in: Price > 30min ORB high
3. "ORB Breakout Down"
→ Built-in: Price < 30min ORB low
4. "VWAP Touch"
→ Custom: Price crosses VWAP line
5. "Target 1 Hit"
→ Price level: First green/red target line
```
---
## 🎓 DAILY REVIEW TEMPLATE
**After Each Trading Session:**
```
Date: __________ Session: London / New York
Total Setups Identified: ____
Trades Taken: ____
Win Rate: ____%
P&L: $______
Best Trade:
- Setup type: _________________
- Entry: ______ Exit: ______
- What went right: _________________
Worst Trade:
- Setup type: _________________
- Entry: ______ Exit: ______
- What went wrong: _________________
Tomorrow's Adjustments:
□ _________________________________
□ _________________________________
□ _________________________________
```
---
## 🚀 QUICK START: YOUR FIRST TRADE
**5-Minute Walkthrough:**
```
1. ADD TO CHART (9:25 AM ET)
→ Load SNIPER ORB indicator
→ Select "New York" session
→ Set targets: 3 levels, 50%
2. WAIT (9:30-10:00 AM)
→ Watch 30min ORB form (purple box)
→ Note VWAP position
→ Identify if price trending or ranging
3. PREPARE (10:00 AM)
→ 30min ORB complete!
→ Measure range (info table shows points)
→ Set alerts for breakout
4. EXECUTE (10:00-11:30 AM)
→ Breakout signal fires
→ Check VWAP alignment
→ Check YM SNIPER confluence
→ Enter trade if 7+ confluence points
5. MANAGE
→ Target 1: Take 50%, move stop to BE
→ Target 2: Take 30%, trail stop
→ Target 3: Let remainder run
6. REPEAT
→ Maximum 3 trades per session
→ Stop after 3 losses
```
---
## 🏆 WINNING TRADER MINDSET
```
"I don't need to trade every ORB breakout.
I only need the HIGH-PROBABILITY setups.
3-5 trades per day is enough.
90%+ win rate on those 3-5 trades = success.
Patience + Precision = Profitability"
```
---
## 📞 TROUBLESHOOTING
**Indicator Not Showing?**
- Check max_boxes/max_lines limits in code
- Verify you're on 1min-30min timeframe
- Ensure TradingView session is 9:30-17:00 ET
**ORBs Look Wrong?**
- Verify timezone: should be "America/New_York"
- Check if market has DST adjustment today
- Confirm broker chart time matches indicator
**VWAP Disappeared?**
- Toggle "Show Anchored VWAP" in settings
- Check if session ended (auto-disappears at 5 PM)
- Verify you're not in pre-market hours
**Targets Too Close/Far?**
- Adjust "Target % Increment" setting
- 30% = tighter, 75% = wider
- Default 50% works for most conditions
---
## 🎯 FINAL CHECKLIST BEFORE GOING LIVE
```
□ Backtested on replay mode for 2+ weeks
□ Understand all 5 setup types
□ Risk management rules memorized
□ YM Ultimate SNIPER v8.1 loaded on same chart
□ TradingView alerts configured
□ Stop/target calculator ready
□ Trading journal template prepared
□ Emotional state: calm and focused
□ Sufficient account size (minimum $10k recommended)
□ Broker platform tested and ready
IF ALL CHECKED → YOU'RE READY TO SNIPE! 🎯
```
---
## 📚 ADVANCED RESOURCES
**Combine SNIPER ORB with:**
- Cumulative Volume Delta (CVD) for confirmation
- Footprint charts for order flow at ORB boundaries
- Market profile for volume-at-price context
- Options flow for institutional positioning
- Economic calendar for high-volatility avoidance
**Study Material:**
- Mark Fisher "The Logical Trader" (ORB bible)
- SMB Capital YouTube (institutional ORB strategies)
- Your own YM Ultimate SNIPER documentation
- Price action at previous session ORBs (historical analysis)
---
**💎 REMEMBER: Quality over quantity. Sniper precision over shotgun spray.**
**🎯 Good luck, and happy sniping! 🎯**
═══════════════════════════════════════════════════════════════════
END OF SNIPER ORB TRADING CHEAT SHEET
═══════════════════════════════════════════════════════════════════
Continuation Model by XausThis report summarizes the historical performance of the Institutional Daily Bias Probability Model on
EURUSD daily data for the 2025 calendar year. The model combines three components: 1.
Continuation bias around the previous day's high/low (PDH/PDL). 2. Reversal bias based on failed
continuation, failed breakouts, and exhaustion. 3. Neutral bias to identify liquidity-building days when no
directional trades should be taken. A fixed 25-pip stop loss (0.0025) is assumed for R-multiple
calculations. Trades are only taken when Neutral score < 50 and either Continuation or Reversal score
is at least 70, with Neutral overriding, then Reversal, then Continuation.
Raja's SMC Order Blocks Display [PRO]Raja's SMC Order Blocks Display - Complete Description
🌟 A Message from Raja Saien
This indicator has been crafted with dedication, countless hours of research, and deep passion for trading excellence. Raja Saien has poured his heart and soul into creating this powerful tool to help YOU succeed in the markets.
For Everyone Starting Their Trading Journey:
If you're new to trading, remember - every expert was once a beginner. This indicator is your gateway to understanding how institutional money moves in the markets. Raja Saien believes in YOUR potential to learn, grow, and achieve financial freedom through smart trading.
The path to success requires:
✨ Dedication to learning the craft
💪 Patience during the learning curve
🎯 Consistent practice with the right tools
🚀 Belief in your ability to master the markets
This isn't just an indicator - it's a mentor on your chart, showing you where the smart money is positioned. With hard work and this tool in your arsenal, you can transform your trading and your life.
Remember: The markets reward those who prepare, practice, and persist. Raja Saien has given you the tool - now it's your turn to commit to the journey!
Overview
This is an advanced TradingView indicator that identifies and displays Smart Money Concepts (SMC) and Order Blocks. It's designed for professional traders who want to understand institutional trading patterns and market structure.
Main Features
1. Smart Money Concepts (SMC) Detection
ZigZag Pattern Recognition: Identifies market structure using pivot highs and lows
Break of Structure (BOS): Detects when price breaks through important structural levels
Change of Character (CHoCH): Identifies trend reversals and shifts in market sentiment
Configurable Length: Adjustable ZigZag sensitivity (default: 5 bars)
2. Order Blocks (OB)
Order blocks are zones where institutional investors have placed large orders. The indicator identifies two types:
Bullish Order Blocks:
Created when market shifts from bearish to bullish
Marks the last bearish candle before the structure break
Displayed in green/teal color
Represents potential support zones where price may bounce
Looks back 10 bars to find the lowest bearish candle
Bearish Order Blocks:
Created when market shifts from bullish to bearish
Marks the last bullish candle before the structure break
Displayed in red color
Represents potential resistance zones where price may reject
Looks back 10 bars to find the highest bullish candle
3. Order Block Management
Dynamic Extension: Active order blocks extend forward on the chart
Mitigation Detection: Automatically detects when price fully breaks through an order block
Bullish OB mitigated when close drops below the bottom
Bearish OB mitigated when close rises above the top
Visual Feedback: Mitigated blocks turn gray and are labeled "Mitigated"
Auto-cleanup: Removes mitigated order blocks from active tracking
4. Moving Averages Suite
Includes multiple trend indicators for comprehensive analysis:
Fast EMA (default 9): Yellow line - captures short-term momentum
Slow EMA (default 21): Purple line - identifies medium-term trends
EMA 50: Orange line - major trend filter
SMA 200: Blue line - long-term trend and institutional reference point
All EMAs support multiple source options: Open, High, Low, Close, HL2, HLC3, OHLC4
Customization Options
SMC Settings
ZigZag Length: Control sensitivity of structure detection (2-100)
Show Order Blocks: Toggle order block display on/off
Visual Settings
Bullish Color: Customize color for bullish order blocks (default: teal #089981)
Bearish Color: Customize color for bearish order blocks (default: red #f23645)
Transparency: Order blocks displayed with 80% transparency for better chart visibility
EMA Settings
Fast EMA Length: Adjustable period (default: 9)
Slow EMA Length: Adjustable period (default: 21)
Source Selection: Choose calculation source for each EMA
Toggle EMA 50: Show/hide the 50-period EMA
Toggle SMA 200: Show/hide the 200-period SMA
How It Works
Structure Detection Process
Identifies pivot highs and lows based on specified length
Creates ZigZag lines connecting significant swing points
Tracks current trend direction (bullish/bearish/neutral)
Monitors for structural breaks that signal trend changes
Order Block Creation
When price breaks above a previous high (bullish BOS):
Scans last 10 bars for the lowest bearish candle
Creates bullish order block at that candle's range
Marks it as active support zone
When price breaks below a previous low (bearish BOS):
Scans last 10 bars for the highest bullish candle
Creates bearish order block at that candle's range
Marks it as active resistance zone
Order Block Lifecycle
Active: Box extends forward with colored border and background
Tested: Price can interact with the zone multiple times
Mitigated: Once price closes through the zone, marked as invalidated
Removed: Automatically cleaned up after mitigation
Trading Applications
Entry Strategies
Pullback Entries: Wait for price to return to an active order block
Confirmation: Look for bullish price action at bullish OBs, bearish at bearish OBs
EMA Confluence: Stronger setups when OBs align with EMA levels
Risk Management
Stop Loss: Place stops just beyond the order block boundary
Invalidation: Exit if order block gets mitigated
Multiple Timeframes: Check OBs on higher timeframes for stronger zones
Trend Analysis
EMA Alignment: All EMAs pointing same direction = strong trend
EMA 50 Test: Key level for trend continuation/reversal
SMA 200: Major institutional reference point
Technical Specifications
Max Boxes: 500 (sufficient for most chart timeframes)
Max Lines: 500
Max Labels: 500
Overlay: True (draws directly on price chart)
Version: Pine Script v5
Best Practices
Use on liquid markets (forex, major stocks, crypto)
Combine with volume analysis for confirmation
Higher timeframes produce more reliable order blocks
Wait for clear structure breaks before trusting new OBs
Don't trade against the major trend (SMA 200 direction)
Use multiple confirmations before entering trades
Limitations
Works best in trending markets with clear structure
May produce false signals in ranging/choppy conditions
Requires understanding of Smart Money Concepts
Not a standalone trading system - use with proper risk management
Historical order blocks don't guarantee future reactions
Estrategia Visual PRO: Momentum EditionIndicador con estrategia propia basado en cruce de emas editables son sombreado de tendencia del precio y niveles de soporte y resistencias donde el precio tiene reaccion, tambien cuenta con filtro de rsi donde colorea las velas segun la fuerza del rsi, colores editables y cuando el precio pierde fuerza
This indicator, with its own strategy based on editable EMA crossovers, features price trend shading and support and resistance levels where the price reacts. It also includes an RSI filter that colors the candles according to the strength of the RSI, with editable colors, and alerts you when the price loses strength.
