Session Highs and Lows🔑 Key Levels: Session Liquidity & Structure Mapper
The Key Levels indicator is an essential tool for traders as it automatically plots and projects critical Highs and Lows established during key trading sessions. These levels represent major liquidity pools and define the current market structure, serving as high-probability targets, support, or resistance for the remainder of the trading day.
⚙️ Core Functionality
The indicator operates in two distinct modes, tailored for different asset classes:
1. Asset Class Mode (Toggle)
You can switch between two predefined setups depending on the asset you are trading:
Stock Mode (RTH/ETH): Designed for US stocks and futures (e.g., NQ, ES, YM). It tracks and projects levels for Regular Trading Hours (RTH) (09:30-16:00) and Extended Hours (ETH) (16:00-09:30).
Forex/Default Mode (Asia/London/NY): Designed for global markets (e.g., currency pairs). It tracks and projects levels for the three major liquidity sessions: Asia (19:00-03:00), London (03:00-09:30), and New York (09:30-16:00).
🗺️ Key Levels Mapped
The script continuously tracks and plots the most significant structural levels:
Current Session High/Low: The running high and low of the currently active session.
Previous Session High/Low: The confirmed high and low from the most recently completed session. These are often targeted by market makers.
Previous Day High/Low (PDH/PDL): The high and low of the prior 24-hour day, acting as major structural boundaries and a crucial macro market filter.
🎛️ Advanced Liquidity Management
The indicator is built with specific controls for high-level liquidity analysis:
Extend Through Sweeps (Critical Setting):
OFF (Recommended): The projected line is automatically stopped or deleted the moment the price candle wicks or closes past it. This visually confirms that the liquidity at that level has been "swept" or "mitigated."
ON: The line extends indefinitely, treating the level as simple support/resistance, regardless of interaction.
Previous vs. Current View: You can select a checkbox (e.g., Use PREVIOUS London Level) to hide the current session's running levels and only display the static, confirmed high/low from the prior completed session. This helps declutter the chart and focus only on the confirmed structural levels.
Show Older History: Toggle to keep lines from prior days visible, allowing you to track multi-day structural context.
🎯 Trading Application
The lines plotted by the Key Levels indicator provide immediate, actionable information:
Bias Filter: Use the PDH/PDL to determine the overall market context. Trading above the PDH suggests a bullish bias, while trading below the PDL suggests a bearish bias.
Manipulation/Entry: Wait for price to aggressively sweep a Previous Session High/Low (line stops extending). This often signals a liquidity grab or "manipulation" phase. Look for entries in the opposite direction for the main move (Distribution).
Targets: Key levels (especially unmitigated ones) serve as excellent, objective take-profit targets for active trades.
อินดิเคเตอร์และกลยุทธ์
XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)//@version=6
strategy("XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)",
overlay = true,
initial_capital = 10000,
pyramiding = 10,
process_orders_on_close = true)
//━━━━━━━━━━━━━━━━━━━
// 1. INPUTS
//━━━━━━━━━━━━━━━━━━━
// TP / SL
tp1Pips = input.int(10, "TP1 (pips)", minval = 1)
fixedSLpips = input.int(50, "Fixed SL (pips)", minval = 5)
runnerRR = input.float(3.0, "Runner RR (TP2 = SL * RR)", step = 0.1, minval = 1.0)
// Daily risk
maxDailyLossPct = input.float(5.0, "Max daily loss % (stop trading)", step = 0.5)
maxDailyProfitPct = input.float(20.0, "Max daily profit % (stop trading)", step = 1.0)
// HTF S/R (1H)
htfTF = input.string("60", "HTF timeframe (minutes) for S/R block")
// Profit strategy (Option C)
profitStrategy = input.string("Minimal Risk | Full BE after TP1", "Profit Strategy", options = )
// Runner stop mode (your option 4)
runnerStopMode = input.string( "BE only", "Runner Stop Mode", options = )
// ATR trail settings (only used if ATR mode selected)
atrTrailLen = input.int(14, "ATR Length (trail)", minval = 1)
atrTrailMult = input.float(1.0, "ATR Multiplier (trail)", step = 0.1, minval = 0.1)
// Pip size (for XAUUSD: 1 pip = 0.10 if tick = 0.01)
pipSize = syminfo.mintick * 10.0
tp1Points = tp1Pips * pipSize
slPoints = fixedSLpips * pipSize
baseQty = input.float (1.0, "Base order size" , step = 0.01, minval = 0.01)
//━━━━━━━━━━━━━━━━━━━
// 2. DAILY RISK MANAGEMENT
//━━━━━━━━━━━━━━━━━━━
isNewDay = ta.change(time("D")) != 0
var float dayStartEquity = na
var bool dailyStopped = false
equityNow = strategy.initial_capital + strategy.netprofit
if isNewDay or na(dayStartEquity)
dayStartEquity := equityNow
dailyStopped := false
dailyPnL = equityNow - dayStartEquity
dailyPnLPct = dayStartEquity != 0 ? (dailyPnL / dayStartEquity) * 100.0 : 0.0
if not dailyStopped
if dailyPnLPct <= -maxDailyLossPct
dailyStopped := true
if dailyPnLPct >= maxDailyProfitPct
dailyStopped := true
canTradeToday = not dailyStopped
//━━━━━━━━━━━━━━━━━━━
// 3. 1H S/R ZONES (for direction block)
//━━━━━━━━━━━━━━━━━━━
htOpen = request.security(syminfo.tickerid, htfTF, open)
htHigh = request.security(syminfo.tickerid, htfTF, high)
htLow = request.security(syminfo.tickerid, htfTF, low)
htClose = request.security(syminfo.tickerid, htfTF, close)
// Engulf logic on HTF
htBullPrev = htClose > htOpen
htBearPrev = htClose < htOpen
htBearEngulf = htClose < htOpen and htBullPrev and htOpen >= htClose and htClose <= htOpen
htBullEngulf = htClose > htOpen and htBearPrev and htOpen <= htClose and htClose >= htOpen
// Liquidity sweep on HTF previous candle
htSweepHigh = htHigh > ta.highest(htHigh, 5)
htSweepLow = htLow < ta.lowest(htLow, 5)
// Store last HTF zones
var float htResHigh = na
var float htResLow = na
var float htSupHigh = na
var float htSupLow = na
if htBearEngulf and htSweepHigh
htResHigh := htHigh
htResLow := htLow
if htBullEngulf and htSweepLow
htSupHigh := htHigh
htSupLow := htLow
// Are we inside HTF zones?
inHtfRes = not na(htResHigh) and close <= htResHigh and close >= htResLow
inHtfSup = not na(htSupLow) and close >= htSupLow and close <= htSupHigh
// Block direction against HTF zones
longBlockedByZone = inHtfRes // no buys in HTF resistance
shortBlockedByZone = inHtfSup // no sells in HTF support
//━━━━━━━━━━━━━━━━━━━
// 4. 1m LOCAL ZONES (LIQUIDITY SWEEP + ENGULF + QUALITY SCORE)
//━━━━━━━━━━━━━━━━━━━
// 1m engulf patterns
bullPrev1 = close > open
bearPrev1 = close < open
bearEngulfNow = close < open and bullPrev1 and open >= close and close <= open
bullEngulfNow = close > open and bearPrev1 and open <= close and close >= open
// Liquidity sweep by previous candle on 1m
sweepHighPrev = high > ta.highest(high, 5)
sweepLowPrev = low < ta.lowest(low, 5)
// Local zone storage (one active support + one active resistance)
// Quality score: 1 = engulf only, 2 = engulf + sweep (we only trade ≥2)
var float supLow = na
var float supHigh = na
var int supQ = 0
var bool supUsed = false
var float resLow = na
var float resHigh = na
var int resQ = 0
var bool resUsed = false
// New resistance zone: previous bullish candle -> bear engulf
if bearEngulfNow
resLow := low
resHigh := high
resQ := sweepHighPrev ? 2 : 1
resUsed := false
// New support zone: previous bearish candle -> bull engulf
if bullEngulfNow
supLow := low
supHigh := high
supQ := sweepLowPrev ? 2 : 1
supUsed := false
// Raw "inside zone" detection
inSupRaw = not na(supLow) and close >= supLow and close <= supHigh
inResRaw = not na(resHigh) and close <= resHigh and close >= resLow
// QUALITY FILTER: only trade zones with quality ≥ 2 (engulf + sweep)
highQualitySup = supQ >= 2
highQualityRes = resQ >= 2
inSupZone = inSupRaw and highQualitySup and not supUsed
inResZone = inResRaw and highQualityRes and not resUsed
// Plot zones
plot(supLow, "Sup Low", color = color.new(color.lime, 60), style = plot.style_linebr)
plot(supHigh, "Sup High", color = color.new(color.lime, 60), style = plot.style_linebr)
plot(resLow, "Res Low", color = color.new(color.red, 60), style = plot.style_linebr)
plot(resHigh, "Res High", color = color.new(color.red, 60), style = plot.style_linebr)
//━━━━━━━━━━━━━━━━━━━
// 5. MODERATE BOS (3-BAR FRACTAL STRUCTURE)
//━━━━━━━━━━━━━━━━━━━
// 3-bar swing highs/lows
swHigh = high > high and high > high
swLow = low < low and low < low
var float lastSwingHigh = na
var float lastSwingLow = na
if swHigh
lastSwingHigh := high
if swLow
lastSwingLow := low
// BOS conditions
bosUp = not na(lastSwingHigh) and close > lastSwingHigh
bosDown = not na(lastSwingLow) and close < lastSwingLow
// Zone “arming” and BOS validation
var bool supArmed = false
var bool resArmed = false
var bool supBosOK = false
var bool resBosOK = false
// Arm zones when first touched
if inSupZone
supArmed := true
if inResZone
resArmed := true
// BOS after arming → zone becomes valid for entries
if supArmed and bosUp
supBosOK := true
if resArmed and bosDown
resBosOK := true
// Reset BOS flags when new zones are created
if bullEngulfNow
supArmed := false
supBosOK := false
if bearEngulfNow
resArmed := false
resBosOK := false
//━━━━━━━━━━━━━━━━━━━
// 6. ENTRY CONDITIONS (ZONE + BOS + RISK STATE)
//━━━━━━━━━━━━━━━━━━━
flatOrShort = strategy.position_size <= 0
flatOrLong = strategy.position_size >= 0
longSignal = canTradeToday and not longBlockedByZone and inSupZone and supBosOK and flatOrShort
shortSignal = canTradeToday and not shortBlockedByZone and inResZone and resBosOK and flatOrLong
//━━━━━━━━━━━━━━━━━━━
// 7. ORDER LOGIC – TWO PROFIT STRATEGIES
//━━━━━━━━━━━━━━━━━━━
// Common metrics
atrTrail = ta.atr(atrTrailLen)
// MINIMAL MODE: single trade, BE after TP1, optional trailing
// HYBRID MODE: two trades (Scalp @ TP1, Runner @ TP2)
// Persistent tracking
var float longEntry = na
var float longTP1 = na
var float longTP2 = na
var float longSL = na
var bool longBE = false
var float longRunEntry = na
var float longRunTP1 = na
var float longRunTP2 = na
var float longRunSL = na
var bool longRunBE = false
var float shortEntry = na
var float shortTP1 = na
var float shortTP2 = na
var float shortSL = na
var bool shortBE = false
var float shortRunEntry = na
var float shortRunTP1 = na
var float shortRunTP2 = na
var float shortRunSL = na
var bool shortRunBE = false
isMinimal = profitStrategy == "Minimal Risk | Full BE after TP1"
isHybrid = profitStrategy == "Hybrid | Scalp TP + Runner TP"
//━━━━━━━━━━ LONG ENTRIES ━━━━━━━━━━
if longSignal
if isMinimal
longEntry := close
longSL := longEntry - slPoints
longTP1 := longEntry + tp1Points
longTP2 := longEntry + slPoints * runnerRR
longBE := false
strategy.entry("Long", strategy.long)
supUsed := true
supArmed := false
supBosOK := false
else if isHybrid
longRunEntry := close
longRunSL := longRunEntry - slPoints
longRunTP1 := longRunEntry + tp1Points
longRunTP2 := longRunEntry + slPoints * runnerRR
longRunBE := false
// Two separate entries, each 50% of baseQty (for backtest)
strategy.entry("LongScalp", strategy.long, qty = baseQty * 0.5)
strategy.entry("LongRun", strategy.long, qty = baseQty * 0.5)
supUsed := true
supArmed := false
supBosOK := false
//━━━━━━━━━━ SHORT ENTRIES ━━━━━━━━━━
if shortSignal
if isMinimal
shortEntry := close
shortSL := shortEntry + slPoints
shortTP1 := shortEntry - tp1Points
shortTP2 := shortEntry - slPoints * runnerRR
shortBE := false
strategy.entry("Short", strategy.short)
resUsed := true
resArmed := false
resBosOK := false
else if isHybrid
shortRunEntry := close
shortRunSL := shortRunEntry + slPoints
shortRunTP1 := shortRunEntry - tp1Points
shortRunTP2 := shortRunEntry - slPoints * runnerRR
shortRunBE := false
strategy.entry("ShortScalp", strategy.short, qty = baseQty * 50)
strategy.entry("ShortRun", strategy.short, qty = baseQty * 50)
resUsed := true
resArmed := false
resBosOK := false
//━━━━━━━━━━━━━━━━━━━
// 8. EXIT LOGIC – MINIMAL MODE
//━━━━━━━━━━━━━━━━━━━
// LONG – Minimal Risk: 1 trade, BE after TP1, runner to TP2
if isMinimal and strategy.position_size > 0 and not na(longEntry)
// Move to BE once TP1 is touched
if not longBE and high >= longTP1
longBE := true
// Base SL: BE or initial SL
float dynLongSL = longBE ? longEntry : longSL
// Optional trailing after BE
if longBE
if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longEntry
dynLongSL := math.max(dynLongSL, lastSwingLow)
if runnerStopMode == "ATR trail"
trailSL = close - atrTrailMult * atrTrail
dynLongSL := math.max(dynLongSL, trailSL)
strategy.exit("Long Exit", "Long", stop = dynLongSL, limit = longTP2)
// SHORT – Minimal Risk: 1 trade, BE after TP1, runner to TP2
if isMinimal and strategy.position_size < 0 and not na(shortEntry)
if not shortBE and low <= shortTP1
shortBE := true
float dynShortSL = shortBE ? shortEntry : shortSL
if shortBE
if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortEntry
dynShortSL := math.min(dynShortSL, lastSwingHigh)
if runnerStopMode == "ATR trail"
trailSLs = close + atrTrailMult * atrTrail
dynShortSL := math.min(dynShortSL, trailSLs)
strategy.exit("Short Exit", "Short", stop = dynShortSL, limit = shortTP2)
//━━━━━━━━━━━━━━━━━━━
// 9. EXIT LOGIC – HYBRID MODE
//━━━━━━━━━━━━━━━━━━━
// LONG – Hybrid: Scalp + Runner
if isHybrid
// Scalp leg: full TP at TP1
if strategy.opentrades > 0
strategy.exit("LScalp TP", "LongScalp", stop = longRunSL, limit = longRunTP1)
// Runner leg
if strategy.position_size > 0 and not na(longRunEntry)
if not longRunBE and high >= longRunTP1
longRunBE := true
float dynLongRunSL = longRunBE ? longRunEntry : longRunSL
if longRunBE
if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longRunEntry
dynLongRunSL := math.max(dynLongRunSL, lastSwingLow)
if runnerStopMode == "ATR trail"
trailRunSL = close - atrTrailMult * atrTrail
dynLongRunSL := math.max(dynLongRunSL, trailRunSL)
strategy.exit("LRun TP", "LongRun", stop = dynLongRunSL, limit = longRunTP2)
// SHORT – Hybrid: Scalp + Runner
if isHybrid
if strategy.opentrades > 0
strategy.exit("SScalp TP", "ShortScalp", stop = shortRunSL, limit = shortRunTP1)
if strategy.position_size < 0 and not na(shortRunEntry)
if not shortRunBE and low <= shortRunTP1
shortRunBE := true
float dynShortRunSL = shortRunBE ? shortRunEntry : shortRunSL
if shortRunBE
if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortRunEntry
dynShortRunSL := math.min(dynShortRunSL, lastSwingHigh)
if runnerStopMode == "ATR trail"
trailRunSLs = close + atrTrailMult * atrTrail
dynShortRunSL := math.min(dynShortRunSL, trailRunSLs)
strategy.exit("SRun TP", "ShortRun", stop = dynShortRunSL, limit = shortRunTP2)
//━━━━━━━━━━━━━━━━━━━
// 10. RESET STATE WHEN FLAT
//━━━━━━━━━━━━━━━━━━━
if strategy.position_size == 0
longEntry := na
shortEntry := na
longBE := false
shortBE := false
longRunEntry := na
shortRunEntry := na
longRunBE := false
shortRunBE := false
//━━━━━━━━━━━━━━━━━━━
// 11. VISUAL ENTRY MARKERS
//━━━━━━━━━━━━━━━━━━━
plotshape(longSignal, title = "Long Signal", style = shape.triangleup,
location = location.belowbar, color = color.lime, size = size.tiny, text = "L")
plotshape(shortSignal, title = "Short Signal", style = shape.triangledown,
location = location.abovebar, color = color.red, size = size.tiny, text = "S")
Absorption RatioThe Hidden Connections Between Markets
Financial markets are not isolated islands. When panic spreads, seemingly unrelated assets suddenly begin moving in lockstep. Stocks, bonds, commodities, and currencies that normally provide diversification benefits start falling together. This phenomenon, where correlations spike during crises, has devastated portfolios throughout history. The Absorption Ratio provides a quantitative measure of this hidden fragility.
The concept emerged from research at State Street Associates, where Mark Kritzman, Yuanzhen Li, Sebastien Page, and Roberto Rigobon developed a novel application of principal component analysis to measure systemic risk. Their 2011 paper in the Journal of Portfolio Management demonstrated that when markets become tightly coupled, the variance explained by the first few principal components increases dramatically. This concentration of variance signals elevated systemic risk.
What the Absorption Ratio Measures
Principal component analysis, or PCA, is a statistical technique that identifies the underlying factors driving a set of variables. When applied to asset returns, the first principal component typically captures broad market movements. The second might capture sector rotations or risk-on/risk-off dynamics. Additional components capture increasingly idiosyncratic patterns.
The Absorption Ratio measures the fraction of total variance absorbed or explained by a fixed number of principal components. In the original research, Kritzman and colleagues used the first fifth of the eigenvectors. When this fraction is high, it means a small number of factors are driving most of the market movements. Assets are moving together, and diversification provides less protection than usual.
Consider an analogy: imagine a room full of people having independent conversations. Each person speaks at different times about different topics. The total "variance" of sound in the room comes from many independent sources. Now imagine a fire alarm goes off. Suddenly everyone is talking about the same thing, moving in the same direction. The variance is now dominated by a single factor. The Absorption Ratio captures this transition from diverse, independent behavior to unified, correlated movement.
The Implementation Approach
TradingView does not support matrix algebra required for true principal component analysis. This implementation uses a closely related proxy: the average absolute correlation across a universe of major asset classes. This approach captures the same underlying phenomenon because when assets are highly correlated, the first principal component explains more variance by mathematical necessity.
The asset universe includes eight ETFs representing major investable categories: SPY and QQQ for large cap US equities, IWM for small caps, EFA for developed international markets, EEM for emerging markets, TLT for long-term treasuries, GLD for gold, and USO for oil. This selection provides exposure to equities across geographies and market caps, plus traditional diversifying assets.
From eight assets, there are twenty-eight unique pairwise correlations. The indicator calculates each using a rolling window, takes the absolute value to measure coupling strength regardless of direction, and averages across all pairs. This average correlation is then transformed to match the typical range of published Absorption Ratio values.
The transformation maps zero average correlation to an AR of 0.50 and perfect correlation to an AR of 1.00. This scaling aligns with empirical observations that the AR typically fluctuates between 0.60 and 0.95 in practice.
Interpreting the Regimes
The indicator classifies systemic risk into four regimes based on AR levels.
The Extreme regime occurs when the AR exceeds 0.90. At this level, nearly all asset classes are moving together. Diversification has largely failed. Historically, this regime has coincided with major market dislocations: the 2008 financial crisis, the 2020 COVID crash, and significant correction periods. Portfolios constructed under normal correlation assumptions will experience larger drawdowns than expected.
The High regime, between 0.80 and 0.90, indicates elevated systemic risk. Correlations across asset classes are above normal. This often occurs during the build-up to stress events or during volatile periods where fear is spreading but has not reached panic levels. Risk management should be more conservative.
The Normal regime covers AR values between 0.60 and 0.80. This represents typical market conditions where some correlation exists between assets but diversification still provides meaningful benefits. Standard portfolio construction assumptions are reasonable.
The Low regime, below 0.60, indicates that assets are behaving relatively independently. Diversification is working well. Idiosyncratic factors dominate returns rather than systematic risk. This environment is favorable for active management and security selection strategies.
The Relationship to Portfolio Construction
The implications for portfolio management are significant. Modern portfolio theory assumes correlations are stable and uses historical estimates to construct efficient portfolios. The Absorption Ratio reveals that this assumption is violated precisely when it matters most.
When AR is elevated, the effective number of independent bets in a diversified portfolio shrinks. A portfolio holding stocks, bonds, commodities, and real estate might behave as if it holds only one or two positions during high AR periods. Position sizing based on normal correlation estimates will underestimate portfolio risk.
Conversely, when AR is low, true diversification opportunities expand. The same nominal portfolio provides more independent return streams. Risk can be deployed more aggressively while maintaining the same effective exposure.
Component Analysis
The indicator separately tracks equity correlations and cross-asset correlations. These components tell different stories about market structure.
Equity correlations measure coupling within the stock market. High equity correlation indicates broad risk-on or risk-off behavior where all stocks move together. This is common during both rallies and selloffs driven by macroeconomic factors. Stock pickers face headwinds when equity correlations are elevated because individual company fundamentals matter less than market beta.
Cross-asset correlations measure coupling between different asset classes. When stocks, bonds, and commodities start moving together, traditional hedges fail. The classic 60/40 stock/bond portfolio, for example, assumes negative or low correlation between equities and treasuries. When cross-asset correlation spikes, this assumption breaks down.
During the 2022 market environment, for instance, both stocks and bonds fell significantly as inflation and rate hikes affected all assets simultaneously. High cross-asset correlation warned that the usual defensive allocations would not provide their expected protection.
Mean Reversion Characteristics
Like most risk metrics, the Absorption Ratio tends to mean-revert over time. Extremely high AR readings eventually normalize as panic subsides and assets return to more independent behavior. Extremely low readings tend to rise as some level of systematic risk always reasserts itself.
The indicator tracks AR in statistical terms by calculating its Z-score relative to the trailing distribution. When AR reaches extreme Z-scores, the probability of normalization increases. This creates potential opportunities for strategies that bet on mean reversion in systemic risk.
A buy signal triggers when AR recovers from extremely elevated levels, suggesting the worst of the correlation spike may be over. A sell signal triggers when AR rises from unusually low levels, warning that complacency about diversification benefits may be excessive.
Momentum and Trend
The rate of change in AR carries information beyond the absolute level. Rapidly rising AR suggests correlations are increasing and systemic risk is building. Even if AR has not yet reached the high regime, acceleration in coupling should prompt increased vigilance.
Falling AR momentum indicates normalizing conditions. Correlations are decreasing and assets are returning to more independent behavior. This often occurs in the recovery phase following stress events.
Practical Application
For asset allocators, the AR provides guidance on how much diversification benefit to expect from a given allocation. During high AR periods, reducing overall portfolio risk makes sense because the usual diversifiers provide less protection. During low AR periods, standard or even aggressive allocations are more appropriate.
For risk managers, the AR serves as an early warning indicator. Rising AR often precedes large market moves and volatility spikes. Tightening risk limits before correlations reach extreme levels can protect capital.
For systematic traders, the AR provides a regime filter. Mean reversion strategies may work better during high AR periods when panics create overshooting. Momentum strategies may work better during low AR periods when trends can develop independently across assets.
Limitations and Considerations
The proxy methodology introduces some approximation error relative to true PCA-based AR calculations. The asset universe, while representative, does not include all possible diversifiers. Correlation estimates are inherently backward-looking and can change rapidly.
The transformation from average correlation to AR scale is calibrated to match typical published ranges but is not mathematically equivalent to the eigenvalue ratio. Users should interpret levels directionally rather than as precise measurements.
Correlation regimes can persist longer than expected. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. High AR can remain elevated throughout extended crisis periods.
References
Kritzman, M., Li, Y., Page, S., and Rigobon, R. (2011). Principal Components as a Measure of Systemic Risk. Journal of Portfolio Management, 37(4), 112-126.
Kritzman, M., and Li, Y. (2010). Skulls, Financial Turbulence, and Risk Management. Financial Analysts Journal, 66(5), 30-41.
Billio, M., Getmansky, M., Lo, A., and Pelizzon, L. (2012). Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors. Journal of Financial Economics, 104(3), 535-559.
Setup Keltner Banda 3 e 5 - MMS + RSI + Distância Tabela
📊 Indicator Overview: Keltner Bands + RSI + Distance Table
This custom TradingView indicator combines three powerful tools into a single, visually intuitive setup:
Keltner Channels (Bands 3x and 5x ATR)
Relative Strength Index (RSI)
Dynamic Table Displaying RSI and Price Distance from Moving Average (MMS)
🔧 Components and Functions
1. Keltner Channels (3x and 5x ATR)
Based on a Simple Moving Average (MMS) and Average True Range (ATR).
Two sets of bands are plotted:
3x ATR Bands: Used for moderate volatility signals.
5x ATR Bands: Used for high volatility extremes.
Visual fills between bands help identify overextended price zones.
2. RSI (Relative Strength Index)
Measures momentum and potential reversal zones.
Customizable overbought (default 70) and oversold (default 30) levels.
RSI values are color-coded in the table:
Green for RSI ≤ 30 (oversold)
Blue for 30 < RSI ≤ 70 (neutral)
Red for RSI > 70 (overbought)
3. Distance Table (Price vs. MMS)
Displays the real-time distance between the current price and the MMS:
In points (absolute difference)
In percentage (relative to MMS)
Helps traders assess how far price has deviated from its mean.
📈 How to Use
Trend Reversal Signals
Look for price crossing back inside the 3x or 5x Keltner Bands.
Confirm with RSI:
RSI > 70 + price re-entering from above = potential short
RSI < 30 + price re-entering from below = potential long
Volatility Zones
Price outside the 5x band indicates extreme movement.
Use this to anticipate mean reversion or breakout continuation.
Table Insights
Monitor RSI and price distance in real time.
Use color cues to quickly assess momentum and stretch.
⚙️ Customization
Adjustable parameters for:
MMS period
ATR multipliers
RSI period and thresholds
Table position on chart
Fill colors between bands
This indicator is ideal for traders who want a clean, data-rich visual tool to track volatility, momentum, and price deviation in one place.
Buy vs Sell Volume EMA + Smart Momentum Shift (Crypto)This is a volume-based momentum indicator for crypto that:
Splits total volume into buy vs. sell volume based on candle direction.
Applies EMAs to buy/sell volume and tracks slope and acceleration of those EMAs.
Looks for moments where buyer volume momentum is improving and seller momentum is fading.
Optionally requires RSI and/or MACD confirmation, a “near recent low” location filter, and a score threshold based on several micro-conditions.
Outputs:
Colored background depending on whether buy or sell volume dominates.
EMA crossover arrows (“Buy” and “Sell”) for simpler regime shifts.
Green dots (“Strong Buy Momentum Shift”) when all filters are satisfied.
Alert conditions for the above signals.
It runs in a separate pane (overlay=false) and is explicitly designed for crypto, but works on any symbol/interval.
5-Bar BreakoutThis indicator shows if the price is breaking out above the high or the low of the previous 5 bars
**MACD + RSI + MFI by IspatialResources – Multi-Tool Indicator**
This indicator is a **multi-functional technical analysis tool** that combines the following professional oscillators into a single panel:
* ✅ **Customizable MACD**
* ✅ **Advanced RSI with Moving Average and Bollinger Bands**
* ✅ **Money Flow Index (MFI)**
* ✅ **Module-based enable/disable system**
* ✅ **Fully configurable alerts**
It is designed to help identify **overbought and oversold conditions, trend strength, and momentum shifts**, improving market reading across multiple assets.
---
### 🔹 INCLUDED MODULES
**1️⃣ MACD**
* Fast and slow moving average settings
* Selectable MA type (SMA / EMA)
* Dynamic histogram
* Momentum change alerts
**2️⃣ Advanced RSI**
* Classic RSI with dynamic levels
* Moving average applied to RSI
* Optional **Bollinger Bands on RSI**
* Visual overbought and oversold signals
* Extreme condition alerts
**3️⃣ MFI (Money Flow Index)**
* Buying and selling pressure detection
* Overbought and oversold zones
* Ideal for volume and strength analysis
---
### 🔹 SUPPORTED MARKETS
This indicator can be used on:
* 📈 Cryptocurrencies
* 📊 Stock Indices
* 💱 Forex
* 📉 Stocks
It works on **all timeframes**: intraday, swing trading, and long-term analysis.
---
### 🔹 HOW TO USE IT
* Enable or disable each module from the settings panel.
* Use the **RSI with bands** to detect extreme zones.
* Confirm potential entries with the **MACD**.
* Filter false signals with the **MFI**.
* Combine it with market structure, support, and resistance.
---
### ⚠️ RISK DISCLAIMER
This indicator is **for educational and technical analysis purposes only**.
**It does not constitute financial advice and does not guarantee results.**
Trading involves risk, and each user is responsible for their own decisions.
---
### 👤 AUTHOR
Created by **Ismael** as a personal tool for market analysis and study.
---
🚀 If you find this indicator useful, feel free to support it with a “like” for future updates.
Opening Range ICT 3-Bar FVG + Engulfing Signals (Overlay)Beta testing
open range break out and retest of FVG.
Still working on making it accurate so bear with me
Liquidations (TV Source / Manual / Proxy) Cruz Pro Stack + Liquidations (TV Source / Manual / Proxy) is a high-confluence crypto trading indicator built to merge reversal detection, volatility timing, structure confirmation, and liquidation pressure into one clean decision engine.
This script combines five pro-grade components:
1) RSI Divergence (Regular + Hidden)
Detects early momentum shifts at tops and bottoms to anticipate reversals before price fully reacts.
2) BBWP (Bollinger Band Width Percentile)
Identifies volatility compression and expansion cycles to time breakout conditions and avoid low-quality chop.
3) Market Structure (BOS / CHOCH proxy)
Confirms trend continuation or change-of-character using swing breaks for more reliable directional bias.
4) Liquidations Layer (3 Modes)
Adds liquidation-driven context for where price is likely to squeeze or flush next:
TV Source: Use TradingView’s built-in Liquidations plot when available.
Manual Totals: Paste 12h/24h/48h long/short totals for higher-level regime bias.
Proxy (Volume Shock): A fallback approximation for spot charts using volume + candle direction.
The script automatically converts your chart timeframe into rolling 12/24/48-hour windows, then computes a weighted liquidation bias and a spike detector to flag potential exhaustion moves.
5) Confluence Score + Signals
A simple scoring engine highlights high-probability setups when multiple factors align.
Signals are printed only when divergence + structure + volatility context agree with liquidation pressure.
How to use
Best on BTC/ETH perps across 15m–4H.
For maximum accuracy:
Add TradingView’s Liquidations indicator (if your exchange/symbol supports it).
Set Liquidations Mode = TV Source.
Select the Liquidations plot as the source.
If that plot can’t be selected, switch to Proxy or Manual Totals.
What this indicator is designed to improve
Earlier reversal recognition
Cleaner breakout timing
Structure-confirmed entries
Better risk management around liquidation-driven moves
Fewer low-quality trades during dead volatility
Renko Scalp ScannerThis scanner is optimized for short term bursts for Renko.
DESCRIPTION: This indicator scans the 7 major forex pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) on 1-pip Renko charts. It ranks them from BEST (#1, top row) to WORST (#7, bottom row) based on a predictive score (0-100) that combines LIVE momentum (current run length, whipsaws, brick timing) + 24-HOUR HISTORICAL consistency (clean long runs, stability).
Higher score = longer, cleaner, more predictable runs ahead (backtested 74% hit rate for 5+ brick continuations).
HOW TO USE THE TABLE:
1. Add to a 1-second Renko chart (Traditional, Box Size: 0.0001 for non-JPY; 0.01 for JPY pairs).
2. RANK: Position 1–7 (green highlight on #1 = switch to this pair NOW).
3. PAIR: Symbol + direction arrow (↑=buy bias, ↓=sell bias).
4. SCORE: 0–100 total (≥85=monster run; ≥75=strong; ≥60=decent; <60=avoid).
5. RUN │ HIST% │ SEC: Current live run length │ % of 24h runs that were clean 8+ bricks │ Live avg seconds per brick (ideal 5–12s).
6. Trade the #1 pair in the arrow direction until whipsaw or score drops <75. Set alerts for score ≥83.
Backtested on 1-year data: Catches 84% of 10+ brick runners. Refreshes every second.
EMA750 & VWAP Cross IndicatorA trend-following indicator that identifies high-probability entry signals based on EMA750 and VWAP crossovers.
How it works:
Monitors price position relative to EMA750 (trend filter)
Generates LONG signals when price crosses above VWAP while above EMA750
Generates SHORT signals when price crosses below VWAP while below EMA750
Highlights the FIRST signal after each EMA cross (yellow markers)
Automatically calculates targets based on recent swing highs/lows
Stop loss set at EMA750 level
Features:
✓ Visual target and stop loss levels
✓ Customizable alerts for first and all signals
✓ Real-time status dashboard
✓ Swing point detection for target calculation
✓ Signal tracking until opposite VWAP cross
Best for: Swing trading and trend-following strategies on higher timeframes.
5-Min Range Breakout (09:30 NY on MNQ)This is a 5 - min orb strat that a youtuber mentioned and i had a manual look for a while and thought it was actually pretty good but my results are bad. Feel free to look yourself with this code.
Basically this strat is using the 5min orb then go down to 1min timeframe and wait for a breakout with FVG confirmation. So candle after breaking candle is our entry only if FVG is formed.
However i do notice if you dump this code onto 5min timefraem and above you start consistently making money but it is a very small amount for me so you all can have it. Good starter strat on 5min or 10min timeframe
Trade Setup A+ [v.8 Fixed Lines]🚀 Trade Setup A+ : Liquidity Hunter System (XAUUSD)
This indicator is an "All-in-One" trading system designed specifically for XAUUSD (Gold) Scalping and Swing trading. It combines Smart Money Concepts (SMC) with Price Action to identify high-probability setups by tracking liquidity pools and institutional order blocks.
💎 Key Features (v.8 Updated):
Auto Order Blocks (Clean View):
Automatically detects and draws Bullish (Green) and Bearish (Red) Order Blocks based on swing points.
Clean Look: Limits display to the last 5 active zones to keep the chart clutter-free.
Liquidity Levels (Fixed Lines):
D-High / D-Low: Thin lines representing Previous Day’s High & Low.
W-High / W-Low: Thick lines representing Previous Week’s High & Low (Strong Support/Resistance).
Dual Entry Signals:
Method 1 (Sniper): Shows a Diamond Icon (💎) when price touches an Order Block zone (Reversal setup).
Method 2 (Follow): Shows a Triangle Arrow (🔼/🔽) when price crosses EMA 14 with trend confirmation from EMA 49.
Macro Time Zones:
Highlights high-volume trading sessions (Asia, London, NY) on the background to identify "Killzones".
📈 How to Trade:
BUY Signal: Look for a Green Diamond (Touch OB) or Green Triangle (Price > EMA 14 & 49).
SELL Signal: Look for a Red Diamond (Touch OB) or Orange Triangle (Price < EMA 14).
Best Time: Trade when signals align with highlighted Macro Time zones.
⚠️ Disclaimer: This tool is for educational purposes only. Always use proper risk management.
🚀 Trade Setup A+ : ระบบเทรดล่าสภาพคล่อง (สำหรับทองคำ)
อินดิเคเตอร์ชุดนี้ออกแบบมาเพื่อเทรด XAUUSD (ทองคำ) โดยเฉพาะ ผสมผสานเทคนิค SMC (Smart Money Concepts) และ Price Action เพื่อหาจุดเข้าที่มีความแม่นยำสูง (High Probability) โดยเน้นการดักจับสภาพคล่องของรายใหญ่ค่ะ
💎 ฟีเจอร์หลัก (อัปเดตล่าสุด v.8):
Auto Order Blocks (แบบคลีน):
สร้างกล่องโซนซื้อขาย (Supply/Demand) ให้อัตโนมัติ (สีเขียว = โซน Buy, สีแดง = โซน Sell)
Clean Look: ระบบจะโชว์เฉพาะ 5 กล่องล่าสุดเท่านั้น เพื่อไม่ให้กราฟรกสายตา
Liquidity Levels (เส้นแนวรับต้าน):
D-High / D-Low: เส้นบาง แสดงราคาสูงสุด/ต่ำสุดของ "เมื่อวาน" (Day)
W-High / W-Low: เส้นหนา แสดงราคาสูงสุด/ต่ำสุดของ "สัปดาห์ที่แล้ว" (Week) ซึ่งเป็นแนวรับต้านที่แข็งแกร่ง
สัญญาณเข้าเทรด 2 แบบ (Dual Signals):
วิธีที่ 1 (Sniper): แสดงรูป เพชร (💎) เมื่อราคาวิ่งชนขอบกล่อง Order Block (ดักจุดกลับตัวปลายไส้)
วิธีที่ 2 (Follow Trend): แสดงรูป ลูกศรสามเหลี่ยม (🔼/🔽) เมื่อราคาตัดเส้น EMA ตามเงื่อนไข (Buy ต้องยืนเหนือ EMA 14 และ 49)
Macro Time (ช่วงเวลาทำเงิน):
ระบายสีพื้นหลังบอกช่วงเวลาที่ตลาดวิ่งแรง (Asia, London, NY) เพื่อให้โฟกัสถูกจุด
📈 วิธีใช้งาน:
ขา BUY: รอสัญญาณ เพชรสีเขียว (ชนกล่องรับ) หรือ ลูกศรเขียว (ตามเทรนด์)
ขา SELL: รอสัญญาณ เพชรสีแดง (ชนกล่องต้าน) หรือ ลูกศรส้ม (ตามเทรนด์)
คำแนะนำ: ประสิทธิภาพสูงสุดเมื่อสัญญาณเกิดในช่วงเวลา Macro Time (แถบสีพื้นหลัง)
Regime Filter [BigBeluga] Modified by Claude to move tableThis is a copy of Regime Filter that has been modified by Anthropic's Claude to move the overlay table to different positions.
MTF OB & FVG detector w/ Alerts v2# MTF Order Blocks & Fair Value Gaps Detector with Alerts v2
## Overview
This indicator combines **Multi-Timeframe Order Blocks (OB)** and **Fair Value Gaps (FVG)** detection with integrated bounce alerts. It displays Order Blocks and Fair Value Gaps across multiple timeframes simultaneously and generates real-time alerts when price bounces from these critical zones.
## Key Features
### 🎯 Multi-Timeframe Order Blocks Detection
- **Volumetric Analysis**: Each Order Block displays total volume and dominant side percentage
- **Multiple Timeframes**: Supports 1min, 3min, 5min, 15min, and 60min timeframes
- **Smart Combining**: Automatically merges overlapping Order Blocks from different timeframes into powerful confluence zones
- **Dynamic Extension**: Order Blocks extend until broken, providing clear visual guidance
- **Volume Distribution**: Shows bullish vs bearish volume breakdown with percentage
### 📊 Fair Value Gaps (FVG) Detection
- **Lightweight Processing**: Works on current chart timeframe only for optimal performance
- **Volume Metrics**: Displays FVG volume and dominant side percentage
- **Mitigation Tracking**: Automatically tracks when FVGs are filled or broken
- **Customizable Mitigation Source**: Choose between close price or high/low wicks
### 🔔 Comprehensive Alert System
- **Bounce Alerts**: Get notified when price bounces from OB or FVG zones
- **New Formation Alerts**: Alerts when new Order Blocks or Fair Value Gaps form
- **Combined Zone Alerts**: Special alerts when multiple Order Blocks merge into strong confluence zones
- **Customizable Thresholds**: Set minimum number of combined OBs required for strong zone alerts
### 🎨 Visual Customization
- **Inverted Color Schemes**: Optional inverted colors for both OB and FVG
- OB: Choose between traditional (Bullish=Blue, Bearish=Red) or inverted (Bullish=Red, Bearish=Blue)
- FVG: Choose between Bullish=Orange/Bearish=Aqua or inverted
- **Clean Labels**: Shows timeframe, zone type, volume, and dominant percentage
- **Combined Tags**: Optional labels for merged zones
- **Adjustable Extension**: Control how far zones extend into the future
## How It Works
### Order Blocks
Order Blocks identify institutional trading zones where large players have placed significant orders. The indicator:
1. Detects swing highs/lows using configurable swing length
2. Identifies the last opposing candle before a strong move
3. Analyzes volume distribution (bullish vs bearish)
4. Tracks zone validity until price breaks through
5. Combines overlapping zones from multiple timeframes
### Fair Value Gaps
Fair Value Gaps represent price imbalances that often get filled. The indicator:
1. Identifies 3-candle patterns with gaps between candles
2. Filters gaps by size percentile to show only significant ones
3. Calculates volume distribution within the gap
4. Tracks mitigation when price returns to fill the gap
5. Extends gaps dynamically until filled
### Bounce Detection
The indicator detects bounces using a two-step process:
1. **Touch Phase**: Tracks when price enters a zone (touchedInside flag)
2. **Bounce Phase**: Confirms bounce when price exits the zone in the expected direction
- Bullish zones: Price closes above top after touching inside
- Bearish zones: Price closes below bottom after touching inside
## Settings Guide
### General Configuration
- **Show Historic Zones**: Display invalidated/broken zones
- **Zone Invalidation**: Choose between wick or close for break detection
- **Combine Overlapping Order Blocks**: Merge OBs from different timeframes
- **Swing Length**: Controls sensitivity (smaller = more OBs, larger = fewer OBs)
- **Zone Count**: Choose from High/Medium/Low/One per timeframe
- **Invert Colors OB**: Swap bullish/bearish color scheme
### Alert Settings
- **Enable Alerts**: Master switch for all alerts
- **Alert on Bullish/Bearish Bounce**: Choose which bounce directions to monitor
- **Alert on New OB Formation**: Get notified when new Order Blocks form
- **Alert on Combined OBs**: Alerts for strong confluence zones
- **Min OBs for Strong Zone Alert**: Threshold for combined zone alerts (default: 2)
### Fair Value Gaps
- **Show Fair Value Gaps**: Toggle FVG display
- **FVG Mitigation Source**: Choose close or high/low for mitigation detection
- **Bullish/Bearish FVG**: Enable/disable each type
- **Invert FVG Colors**: Swap FVG color scheme
### Multi-Timeframe
- **Show Lower Timeframes**: Display OBs from timeframes lower than chart
- **Individual Timeframe Toggles**: Enable/disable 1min, 3min, 5min, 15min, 60min
### Style
- **Text Color**: Customize label text color
- **Extend Zones**: Set extension length in bars (default: 40)
- **Show Tag**: Display combined indicator in merged zone labels
## Usage Tips
### For Day Trading
- Enable 1min, 3min, and 5min timeframes
- Use "High" zone count for more trading opportunities
- Watch for bounces from combined zones (highest probability)
### For Swing Trading
- Enable 15min, 60min, and higher timeframes
- Use "Medium" or "Low" zone count for major zones only
- Focus on combined zones with 3+ timeframes
### For Scalping
- Use current timeframe only (disable MTF)
- Enable both OB and FVG
- Set up alerts for quick bounce notifications
### Alert Setup
1. Click "Create Alert" in TradingView
2. Choose from available alert conditions:
- **Bullish Bounce (OB/FVG)**: Long entry opportunities
- **Bearish Bounce (OB/FVG)**: Short entry opportunities
- **New OB Formation**: Early zone identification
- **Strong Combined Zone**: High-probability confluence areas
3. Set alert frequency to "Once Per Bar Close" to avoid false signals
## Technical Details
### Performance Optimizations
- Maximum 100 boxes/labels for efficient rendering
- Lightweight FVG processing on current timeframe only
- Dynamic memory management with array size limits
- Selective rendering of active zones only
### Calculations
- **ATR Multiplier**: Zones exceeding 3.5x ATR are filtered out
- **Volume Percentage**: `max(bullVol, bearVol) / totalVolume × 100`
- **FVG Size Filter**: Uses 100th percentile of last 1000 gaps
- **Overlap Detection**: Uses intersection/union ratio for combining zones
## Credits & License
This indicator combines and enhances concepts from:
- "Volumized Order Blocks" methodology
- "Volumatic Fair Value Gaps" approach
**License**: Mozilla Public License 2.0 (MPL-2.0)
## Disclaimer
This indicator is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
## Version History
**v2 (Current)**
- Combined OB and FVG into single indicator
- Added comprehensive alert system
- Improved performance with lightweight FVG processing
- Enhanced bounce detection with touch-inside logic
- Added volume metrics to zone labels
- Implemented dynamic zone extension until broken
- Added combined zone detection with configurable thresholds
---
### Chart Examples
The indicator displays:
- **Red Zones** (Inverted): Bullish Order Blocks / Bearish FVGs
- **Blue Zones** (Inverted): Bearish Order Blocks / Bullish FVGs
- **Orange Zones** (Inverted): Bullish Fair Value Gaps
- **Aqua Zones** (Inverted): Bearish Fair Value Gaps
Each zone shows:
- Timeframe label (e.g., "5m", "15m", "1H")
- Zone type (OB or FVG)
- Total volume in millions (e.g., "12.5M")
- Dominant side percentage (e.g., "85%")
**Example Label**: ` 5m & 15m OB 45.2M (78%)`
- Combined zone from 5min and 15min timeframes
- Order Block type
- 45.2 million total volume
- 78% volume on dominant side
---
## Support & Updates
For issues, suggestions, or questions, please leave a comment on the indicator page.
**Author**: © rasukaru666
**Compatible with**: TradingView Pine Script v6
六脉齐发多空策略六脉齐发多空策略
# Six Meridians Unified Long/Short Strategy
## Overview
The "Six Meridians Unified Long/Short Strategy" is a comprehensive quantitative trading strategy built on TradingView Pine Script v6, designed for cross-asset long/short trading (stocks, cryptocurrencies, futures, forex, etc.). It leverages the resonance of **6 classic technical indicators** to filter high-confidence trading signals, reducing false signals caused by single-indicator bias and improving the reliability of entry/exit decisions.
## Core Indicators (6 "Meridians")
The strategy evaluates bullish/bearish trends by calculating 6 key technical indicators, with a "bullish count" system to quantify trend strength:
| Indicator | Calculation Parameters | Bullish Condition | Bearish Condition |
|-------------------------|------------------------------|--------------------------------------------|--------------------------------------------|
| MACD | Fast=12, Slow=26, Signal=9 | MACD line crosses above Signal line | MACD line crosses below Signal line |
| KDJ (Stochastic Oscillator) | Length=14, SmoothK=3, SmoothD=3 | K line > D line | K line < D line |
| RSI (Relative Strength Index) | Short=6, Long=12 | Short-period RSI (6) > Long-period RSI (12) | Short-period RSI (6) < Long-period RSI (12) |
| LWR (Modified Williams %R) | Length=14, Smooth=6 | LWR1 (WMA-smooth) > LWR2 (6-period WMA) | LWR1 < LWR2 |
| BBI (Bollinger Band Index) | EMA(3)+EMA(6)+EMA(12)+EMA(24) /4 | Close price > BBI line | Close price < BBI line |
| MTM (Momentum) | Period=12, MMS=6, MMM=14 | Short momentum line (MMS) > Long momentum line (MMM) | Short momentum line (MMS) < Long momentum line (MMM) |
## Trading Logic
The strategy uses a "count-based" trigger mechanism to execute position management (no pyramiding allowed):
### Long Position Rules
1. **Entry**: Open long position only when all 6 indicators show bullish signals (`bullCount = 6`).
2. **Partial Exit**: Reduce 50% of long position when 4 indicators remain bullish (`bullCount = 4`).
3. **Full Exit**: Close all long positions when ≤3 indicators are bullish (`bullCount ≤ 3`).
### Short Position Rules
1. **Entry**: Open short position only when all 6 indicators show bearish signals (`bearCount = 6`).
2. **Partial Exit**: Cover 50% of short position when 4 indicators remain bearish (`bearCount = 4`).
3. **Full Exit**: Close all short positions when ≤3 indicators are bearish (`bearCount ≤ 3`).
## Strategy Parameters (Risk & Capital Management)
| Parameter | Value | Description |
|--------------------------|----------------|----------------------------------------------|
| Initial Capital | $100,000 | Starting equity for backtesting |
| Default Order Size | $10,000 (cash) | Fixed cash amount per trade (instead of lots) |
| Commission | 0.1% per trade | Realistic transaction cost (percent-based) |
| Margin Requirement | 100% | No leverage (1:1 trading) |
| Pyramiding | 0 | No additional positions on existing trades |
## Key Features
1. **Multi-Indicator Resonance**: Eliminates noise from single-indicator false signals by requiring consensus across 6 diverse technical metrics.
2. **Gradual Position Management**: Partial exit (50%) before full closure to lock in profits and reduce downside risk.
3. **Full Automation**: Automatically executes entry/exit/position adjustment without manual intervention.
4. **Visualization Tools**: Plots BBI line, long/short signal labels, and bullish indicator count for easy strategy monitoring.
5. **Versatility**: Adaptable to multiple timeframes (15min, 1H, 4H, daily) and asset classes.
## Notes
- The strategy is optimized for trend-following markets and may underperform in choppy/range-bound conditions.
- Backtest results should be validated across different market cycles (bull, bear, sideways) before live trading.
- Parameters (e.g., indicator periods, order size) can be adjusted based on specific asset volatility and trading style.
Time-based levelsScript to plot time-based levels such as yearly/quarterly/monthly/Monday open, Monday range, previous month/week/day range.
This script does NOT handle sessions, therefore it's better suited for crypto which is 24/7.
There are various display options.
- Monday open is displayed immediately, but Monday High / Low / Mid 50% are displayed from Tuesday (i.e. when Monday closes and H/L are set for good)
This behaviour can be overridden using the appropriate option within the indicator's inputs parameters
- Levels are time-frame dependant (for instance, a daily level such as "Monday open" only shows on D1 TF and lower TF)
- To avoid redundancies:
* Yearly open is not displayed on January (redundant with monthly open)
* Quarterly open is not displayed on January, April, July and October (redundant with monthly open), neither on Feb. and March (redundant with yearly open)
* Previous day High / Low / Mid 50% are not displayed on Tuesday (redundant with Monday open / High / Low / Mid 50%)
* Daily open is not displayed on Monday (redundant with Monday open)
- Alerts can be created when prices crosses levels such as yearly/quarterly/monthly/Monday open, Monday range, previous month/week/day range
Known issue (TradingView ticket opened as issue is on their side):
On the W1 TF, if the current week spans over 2 months, the monthly open will be incorrect and still use the previous month open instead.
Once the week closes, the monthly open will be displayed correctly. This issue is not present on other TF.
Example: on Feb. 2nd 2023, when W1 TF is selected, monthly open shows January open instead of February open.
Setup Keltner BandS MMS + RSI SIGNALS
📊 Keltner Bands with RSI Confirmation – TradingView Script
Introduction
This script combines Keltner Channel logic with Relative Strength Index (RSI) confirmation to provide traders with visual signals and alerts for potential reversals. It is designed for scalping and short-term trading strategies, where precision and quick decision-making are essential.
🔧 How It Works
• Keltner Bands (ATR-based):
• Two sets of bands are plotted around a moving average:
• Band 3 (ATR × 3) – more sensitive, suitable for aggressive entries.
• Band 5 (ATR × 5) – wider, used as a filter or confirmation zone.
• Signals are generated when the price crosses back inside the bands from outside.
• RSI Confirmation:
• RSI is calculated with a customizable period (default: 14).
• Overbought and oversold levels (default: 70/30) are used to filter signals.
• A bearish reversal is confirmed only if RSI is above the overbought level.
• A bullish reversal is confirmed only if RSI is below the oversold level.
📌 Functions and Features
• Visual Signals:
• Triangles plotted above/below candles for Keltner-only signals.
• Additional colored triangles for Keltner + RSI confirmed signals.
• Alerts:
• Configurable alerts for both Keltner-only and RSI-confirmed conditions.
• Messages include the type of reversal and the band level.
• Customizable Parameters:
• Moving average length.
• ATR multipliers (3 and 5).
• RSI length and thresholds.
• Colors for band fills and signals.
🎯 Usage
1. Apply the script to your chart in TradingView.
2. Adjust parameters to fit your trading style (scalping, intraday, swing).
3. Watch for signals:
• Red/green/orange/teal triangles → Keltner-only reversals.
• Maroon/lime/purple/blue triangles → RSI-confirmed reversals.
4. Set alerts to receive notifications when conditions are met.
5. Use RSI confirmation to filter out false signals and increase accuracy.
✅ Benefits
• Clear visualization of reversal zones.
• Dual-layer confirmation (Keltner + RSI).
• Flexible for different timeframes and trading styles.
• Ready-to-use alerts for automation or manual trading.
Borna's ZonesBorna's Zones marks two important time-based zones on the chart: the 08:00 zone and the 09:00 zone.
The 08:00 zone identifies initial liquidity. This zone sets the range where early market participants create significant activity.
The 09:00 zone serves as a reference for confirmation. After 09:00, the indicator helps you identify whether the 08:00 zone should be considered cleared.
Both zones are automatically extended until 11:00, providing clear visual references for potential market reactions.
No trading is recommended after 11:00, as the early morning zones lose relevance.
This indicator is useful for traders who focus on pre-market and early session liquidity, helping to visualize key levels where price may react.
Fed Rate ProbabilityFed Rate Probability – Simple & Clean v2.0
Real-time composite score (0–100) for the next Fed move: Rate Cut, Hike or Hold
Overview
A clean, all-in-one indicator that combines the most reliable market signals into two easy-to-read lines:
• Red line → Probability of RATE CUT
• Blue line → Probability of RATE HIKE
• Hold score = 100 – max(cut, hike)
The dominant signal (CUT / HOLD / HIKE) is highlighted in the information table.
Key Features
Automatic daily data from FRED (DFF, 3M/1M/2Y/10Y yields)
Smart fallback to TradingView native symbols (US01MY, US03MY, US02Y, US10Y) when FRED is unavailable
Manual CME FedWatch probability override (perfect for weekends/holidays)
Historical Fed rate cut/hike markers with background shading and labels
Colored probability zones + customizable threshold lines
Threshold-crossing labels and full alert suite
Special alert on 2Y-10Y yield curve un-inversion (strong historical precursor to rate cuts)
Detailed summary table with current spreads, scores and dominant signal
Fully customizable: enable/disable each component, adjust weights indirectly via toggles, change smoothing, thresholds, colors, etc.
Score Composition (0–100 points)
T-bills vs Fed Funds spread – max 50 pts (with persistence & 1M confirmation bonus)
2-Year Treasury vs Fed Funds spread – max 30 pts (or direct CME probability input)
2Y-10Y yield curve behavior – max 20 pts (inversion depth + large bonus on steepening after un-inversion)
Interpretation
0–40 → Low probability
40–60 → Moderate
60–75 → High
75–100 → Very High / Almost certain
Why this indicator?
Instead of checking FRED, CME FedWatch, yield curves and T-bill spreads separately, get everything in one pane with a clear, smoothed composite score and instant alerts when the market starts pricing a Fed move aggressively.
Disclaimer
This is a decision-support tool based on historical relationships and current market pricing. It is not financial advice and past performance is no guarantee of future results.
Enjoy and trade safe! 🚀
Luxy VWAP Magic - MTF Projection EngineThis indicator transforms the classic VWAP into a comprehensive trading system. Instead of switching between multiple indicators, you get everything in one place: multi-timeframe analysis, statistical bands, momentum detection, volume profiling, session tracking, and divergence signals.
What Makes This Different
Traditional VWAP indicators show a single line. This tool treats VWAP as a foundation for complete market analysis. The indicator automatically detects your asset type (stocks, crypto, forex, futures) and adjusts its behavior accordingly. Crypto traders get 24/7 session tracking. Stock traders get proper market hours handling. Everyone gets institutional-grade analytics.
Anchor Period Options
The anchor period determines when VWAP resets and recalculates. You have three categories of options:
Time-Based Anchors:
Session - Resets at market open. Best for intraday stock trading where you want fresh VWAP each day.
Day - Resets at midnight UTC. Standard option for most traders.
Week / Month / Quarter / Year - Longer reset periods for swing traders and position traders who want broader context.
Rolling Window Anchors:
Rolling 5D - A sliding 5-day window that never resets. Solves the Monday problem where weekly VWAP equals daily VWAP on first day of week.
Rolling 21D - Approximately one month of trading data in continuous calculation. Excellent for crypto and forex markets that trade 24/7 without clear session breaks.
Event-Based Anchors:
Dividends - Resets on ex-dividend dates. Track institutional cost basis from dividend events.
Splits - Resets on stock split dates. Useful for analyzing post-split trading behavior.
Earnings - Resets on earnings report dates. See where volume-weighted trading occurred since last quarterly report.
Standard Deviation Bands
Three sets of bands surround the main VWAP line:
Band 1 (Aqua) - Plus and minus one standard deviation. Approximately 68% of price action occurs within this range under normal distribution. Touches suggest minor extension.
Band 2 (Fuchsia) - Plus and minus two standard deviations. Only 5% of trading should occur outside this range statistically. Touches here indicate significant overextension and high probability of mean reversion.
Band 3 (Purple) - Plus and minus three standard deviations. Touches are rare (0.3% probability) and represent extreme conditions. Often marks climax moves or panic selling/buying.
Each band can be toggled independently. Most traders show Band 1 by default and add Band 2 and 3 for specific setups or volatile instruments.
Multi-Timeframe VWAP System
The MTF section plots previous period VWAPs as horizontal support and resistance levels:
Daily VWAP - Previous day's final VWAP value. Key intraday reference level.
Weekly VWAP - Previous week's final VWAP. Important for swing traders.
Monthly VWAP - Previous month's final VWAP. Institutional benchmark level.
Quarterly VWAP - Previous quarter's final VWAP. Major support/resistance for position traders.
Previous Day VWAP - Yesterday's closing VWAP specifically, separate from current daily calculation.
The Confluence Zone percentage setting determines how close multiple VWAPs must be to trigger a confluence alert. When two or more timeframe VWAPs converge within this threshold, you get a high-probability support/resistance zone.
Session VWAPs for Global Markets
For forex, crypto, and futures traders who operate in 24/7 markets, the indicator tracks three major global sessions:
Asia Session - UTC 21:00 to 08:00. Gold colored line. Typically lower volatility, range-bound action that sets overnight levels.
London Session - UTC 08:00 to 17:00. Orange colored line. Often determines daily direction with high volume European participation.
New York Session - UTC 13:00 to 22:00. Blue colored line. Highest volume session globally. Sharp directional moves common.
Previous session VWAP values display as horizontal lines when each session closes, acting as intraday support and resistance. The table shows which sessions are currently active with checkmarks.
On-Chart Labels and Signals
The indicator plots several types of labels directly on price action when significant events occur:
Volume Spike Labels
Fire when current bar volume exceeds configurable thresholds relative to both the previous bar and the 20-bar average. Default settings require 300% of previous bar AND 200% of average volume. Green labels indicate bullish candles. Red labels indicate bearish candles. These spikes often mark institutional entry points.
Momentum Shift Labels
Appear when VWAP acceleration changes direction. The Slowing label warns when an active trend loses steam, often preceding reversal. The Accelerating label confirms trend continuation or potential bottom during downtrends. Filters available to show only reversal signals in existing trends.
VWAP Squeeze Labels
Detect when standard deviation bands contract relative to ATR (Average True Range). Low volatility compression often precedes explosive breakout moves. When the squeeze fires (releases), a label appears with directional prediction based on VWAP slope.
Divergence Labels
Mark price/volume divergences using CVD (Cumulative Volume Delta) analysis:
Bullish divergence: Price makes lower low, but CVD makes higher low. Hidden accumulation despite price weakness.
Bearish divergence: Price makes higher high, but CVD makes lower high. Hidden distribution despite price strength.
Dynamic VWAP Coloring
The main VWAP line changes color based on its slope direction:
Green - VWAP is rising. Institutional buying pressure. Volume-weighted price increasing.
Red - VWAP is falling. Institutional selling pressure. Volume-weighted price decreasing.
Gray - VWAP is flat. Consolidation or balance between buyers and sellers.
This coloring can be disabled for a static blue line if you prefer cleaner visuals. The VWAP label next to the line shows the current trend direction and delta percentage.
Calculated Projection Cone
One of the most powerful features is the Calculated Projection Cone. Unlike traditional extrapolation methods that simply extend a trend line forward, this system analyzes what actually happened in similar market conditions throughout the chart's history.
How It Works:
The system classifies each bar into one of 27 unique market states:
Z-Score Level - LOW (oversold), MID (fair value), or HIGH (overbought) based on configurable thresholds
Trend Direction - DOWN, FLAT, or UP based on VWAP slope
Volume Profile - LOW (below 80%), NORMAL (80-150%), or HIGH (above 150%) relative volume
When you look at the current bar, the indicator:
1. Identifies the current market state (e.g., LOW Z-Score + UP Trend + HIGH Volume)
2. Searches through all historical bars on the chart that had the same state
3. Calculates what happened in those bars X bars later (where X is your projection horizon)
4. Shows you the probability of up/down and the average move size
Visual Elements:
Probability Cone - Colored green (bullish probability above 55%), red (bearish below 45%), or gold (neutral). The cone width represents the historical range of outcomes (roughly the 20th to 80th percentile).
Center Line - Shows the average expected price based on historical outcomes in similar conditions.
Probability Label - Displays direction probability and average move. Example: "67% UP (+0.8%)" means 67% of similar past cases moved up, averaging 0.8% gain.
Fallback System:
When the exact 27-state match has insufficient historical data:
First fallback: Uses Z-Score plus Trend only (9 broader states, ignoring volume)
Second fallback: Uses Z-Score only (3 states)
When fallback is active, confidence automatically adjusts
Settings:
Projection Horizon - How many bars forward to analyze outcomes (5, 10, 15, or 20 bars, default 10)
Lookback Period - Historical data window in days (30-252, default 60)
Minimum Samples - Cases needed before using fallback (5-30, default 10)
Z-Score Threshold - Bucket boundary for LOW/MID/HIGH classification (1.0, 1.5, or 2.0 sigma)
Cloud Transparency - Adjust visibility (50-95%)
Colors - Customize bullish, bearish, and neutral cone colors
Confidence Levels:
HIGH - 30 or more similar historical cases found
MEDIUM - 15-29 similar cases
LOW - Fewer than 15 cases (more uncertainty)
IMPORTANT DISCLAIMER:
The Calculated Projection is based on past patterns only. It is NOT a price prediction or financial advice. Similar market states in the past do not guarantee similar outcomes in the future. The probability shown is historical frequency, not a guarantee. Always combine with other analysis and never rely solely on projections for trading decisions.
Alert Conditions
The indicator includes over 20 pre-built alert conditions:
Price vs VWAP:
Price crosses above VWAP
Price crosses below VWAP
Band Touches:
Price touches plus or minus one sigma band
Price touches plus or minus two sigma band (extreme)
Price touches plus or minus three sigma band (very extreme)
Z-Score Extremes:
Z-Score crosses above plus two (overbought extreme)
Z-Score crosses below minus two (oversold extreme)
Momentum and Trend:
Momentum slowing
Momentum accelerating
Trend turns bullish/bearish/neutral
Volume:
Volume spike detected
CVD Direction:
Buyers take control
Sellers take control
High Probability Signals:
Bullish reversal signal (oversold plus accelerating momentum)
Bearish reversal signal (overbought plus slowing momentum)
MTF and Special:
MTF confluence zone entry
VWAP squeeze fired
Bullish/Bearish divergence detected
Any significant signal (catch-all)
All signals use confirmed bar data to prevent false alerts from incomplete candles.
Settings Overview
Settings are organized into logical groups:
VWAP Settings
Anchor Period selection
Show/Hide VWAP line
Dynamic coloring toggle
VWAP label visibility
Bands Visibility
Toggle each of three bands independently
Info Table
Show/Hide table
Table position (9 options)
Text size
Volume spike label settings with adjustable thresholds
Momentum label settings with filters
Signal labels limited to 5 most recent (auto-managed)
Probability engine lookback period
Multi-Timeframe VWAP
Enable/Disable MTF system
Show MTF in table
Show MTF lines on chart
Individual timeframe toggles
Confluence zone threshold
Squeeze detection toggle
Session VWAPs
Enable/Disable session tracking
Apply to all assets option
Show session labels
Divergence Detection
Enable/Disable divergence
Pivot lookback period
Show divergence labels
Calculated Projection
Enable/Disable projection cone
Projection horizon (5, 10, 15, or 20 bars)
Lookback period in days (30-252)
Minimum samples threshold
Z-Score classification threshold (1.0, 1.5, or 2.0 sigma)
Cloud transparency adjustment
Bullish, bearish, and neutral colors
The Info Table - Your Trading Dashboard
The right side of your chart displays a compact table with up to twelve metrics.
Row-by-Row Breakdown:
Asset and Period - Shows what the indicator detected (US Stock, Crypto, Forex, etc.) and your selected anchor period. The detection happens automatically based on exchange data, so VWAP resets and calculations match your actual trading instrument.
Delta Percentage - How far current price sits from VWAP, expressed as a percentage. Positive means price trades above fair value. Negative means below. Large delta values (beyond 1-2%) often precede mean reversion moves. Day traders watch this for overextension.
Z-Score - Statistical deviation from VWAP measured in standard deviations. Unlike raw delta, Z-Score accounts for volatility. A 2% move in a volatile biotech stock differs from 2% in a stable utility. Z-Score normalizes this. Values beyond plus or minus two sigma occur only 5% of the time statistically.
Trend Direction - Whether VWAP itself is rising, falling, or flat. Rising VWAP means the volume-weighted average price is increasing, which indicates institutional accumulation. Falling VWAP suggests distribution. This differs from price trend since it weights by volume.
Momentum State - Is the trend accelerating or slowing down? This measures the rate of change in VWAP slope. When an uptrend shows slowing momentum, it often precedes reversal. Accelerating momentum in a downtrend can signal capitulation and potential bottom.
Relative Volume - Current bar volume compared to the 20-bar average, shown as percentage. Values above 150% indicate above-average activity. Spikes above 200-300% often mark institutional involvement. Low volume (below 80%) warns of potential fake moves.
MTF Bias - Four checkmarks or X marks showing whether price sits above or below Daily, Weekly, Monthly, and Quarterly VWAP. Four checkmarks means strong bullish alignment across all timeframes. Four X marks indicates bearish alignment. Mixed readings suggest consolidation or transition.
Band Probabilities - Historical statistics showing how often price touched each standard deviation band over your lookback period. This helps you understand if mean reversion or trend following works better for your specific instrument.
Session Status - Which global trading sessions are currently active (Asia, London, New York). Shows checkmarks for active sessions. Important for forex and crypto traders who need to know when major liquidity windows open and close.
Divergence State - Whether the indicator detects bullish or bearish divergence between price and cumulative volume delta. Bullish divergence occurs when price makes lower lows but buying pressure (CVD) makes higher lows, suggesting hidden accumulation.
Confidence Score - A weighted composite of all factors displayed as a progress bar and percentage. Combines MTF alignment, Z-Score, trend direction, volume delta, momentum, and relative volume into a single 0-100 score. Higher scores indicate stronger conviction setups.
Calculated Projection - When the Projection Cone is enabled, shows the historical probability of price direction and expected move. For example: "▲ 67% (+0.8%)" means in similar market states historically, price moved up 67% of the time with an average gain of 0.8%. The system analyzes 27 unique market states based on Z-Score, Trend, and Volume conditions.
Recommended Use Cases
Day Trading Stocks:
Use Session anchor with Band 1 visible. Watch for price returning to VWAP after morning move. Volume spikes near VWAP often mark institutional accumulation zones.
Swing Trading:
Use Weekly or Rolling 21D anchor. Enable MTF lines for Daily and Weekly levels. Trade pullbacks to these levels in direction of MTF bias.
Crypto and Forex:
Enable Session VWAPs. Use Rolling anchors to avoid artificial resets. Monitor session transitions for breakout opportunities.
Mean Reversion:
Focus on Z-Score reaching plus or minus two. Add Band 2 visibility. Combine with slowing momentum for highest probability reversals.
Trend Following:
Watch MTF bias alignment. Four checkmarks plus accelerating momentum plus high volume confirms trend continuation setups.
Projection Planning:
Enable the Calculated Projection to see what happened historically in similar market conditions. Use 5-10 bars for intraday setups, 15-20 bars for swing trade planning. Focus on high probability readings (above 60%) with HIGH confidence (30 or more samples). The cone shows the probable range of outcomes based on actual historical data. Combine with other factors like MTF alignment and volume for higher conviction setups.
Important Notes
The indicator does not repaint. MTF values use previous period's confirmed data.
Rolling VWAP works best on 15-minute timeframes and above due to bar lookback requirements.
Session VWAPs apply to global markets by default (forex, crypto, futures). Enable the all-assets option for stocks if desired.
Volume data for forex represents tick volume, not actual traded volume.
All alert conditions fire only on confirmed (closed) bars to prevent false signals.
The Calculated Projection updates each bar as market state changes. This is expected behavior. The projection shows probabilities based on similar past conditions, not a fixed prediction.
Q AND A
Q: Does this indicator repaint?
A: No. The main VWAP calculation uses standard TradingView VWAP methodology. Multi-timeframe values use previous period's confirmed data with appropriate lookahead settings. All alert signals require bar confirmation.
Q: Why does my Rolling VWAP look different on 1-minute versus 15-minute charts?
A: Rolling VWAP calculates across a fixed number of trading days. On very short timeframes, the bar lookback may hit TradingView limits. For best Rolling VWAP accuracy, use 15-minute or higher timeframes.
Q: Can I use this on any instrument?
A: Yes. The indicator automatically detects asset type and adjusts behavior. Stocks use standard market hours. Crypto uses 24/7 calculations. Forex uses tick volume. Everything adapts automatically.
Q: What does the Confidence Score actually measure?
A: The score combines six weighted factors: MTF alignment (25%), Z-Score position (20%), Trend direction (20%), CVD pressure (15%), Momentum state (10%), and Relative volume (10%). Higher scores indicate more factors aligned in one direction.
Q: Why are Session VWAPs not showing on my stock chart?
A: Session VWAPs apply to 24-hour markets by default (forex, crypto, futures). For stocks, enable the Use for All Assets option in Session VWAP settings.
Q: The Divergence labels appear delayed. Is this a bug?
A: Divergence detection requires pivot confirmation, which needs bars on both sides of the pivot point. The label appears at the actual pivot location (several bars back) once confirmed. This is intentional and prevents false signals.
Q: Can I change the band colors?
A: Yes. Each of the three bands has its own color input setting. You can customize Band 1, Band 2, and Band 3 colors to match your preferences. The defaults are Aqua, Fuchsia, and Purple. The main VWAP line color adapts dynamically based on slope direction or can be set to static blue.
Q: How do I set up alerts?
A: Right-click on the chart, select Add Alert, choose this indicator, and select your desired condition from the dropdown. All conditions include descriptive alert messages with relevant data.
Q: What is the Probability Engine lookback period?
A: This setting determines how many trading days the indicator analyzes to calculate band touch rates and mean reversion statistics. Default is 60 days (approximately 3 months). Longer periods provide more stable statistics but may miss recent behavior changes.
Q: Why do I see fewer labels than expected?
A: Signal labels (Volume, Momentum, Squeeze, Divergence) are limited to 5 most recent labels on the chart to keep it clean. When a new label appears, the oldest one is automatically removed. Additionally, momentum labels have several filters: check the slope multiplier setting (higher values require stronger trends) and the Only Reversal Signals option (when enabled, labels only appear for potential reversals, not trend confirmations).
Q: What is the Calculated Projection and how accurate is it?
A: The Calculated Projection analyzes what happened in past market conditions similar to the current state. It classifies each bar by Z-Score level, Trend direction, and Volume profile (27 unique states), then shows the historical probability of up vs down and the average move size. It is NOT a price prediction or guarantee. The probability shown is how often similar conditions led to up/down moves historically, not a future guarantee. Always use it as one input among many.
Q: Why does the Projection probability change?
A: The projection updates on each bar as market state changes. If Z-Score moves from LOW to MID, or trend shifts from UP to FLAT, the system looks up a different historical category. This is expected behavior. The projection shows what happened in similar past conditions to the current bar's state.
Q: The Projection shows LOW confidence. What does that mean?
A: Confidence levels indicate sample size: HIGH means 30 or more historical cases found, MEDIUM means 15-29 cases, LOW means fewer than 15 cases. When sample size is low, the system uses a fallback: first aggregating by Z-Score plus Trend only (ignoring volume), then by Z-Score only. LOW confidence means less statistical reliability, so weight other factors more heavily in your decision.
Q: Why does the cone sometimes show 50/50 probability?
A: A 50/50 reading means that in similar past market states, price moved up roughly half the time and down half the time. This indicates a neutral or balanced condition where historical patterns provide no directional edge. Consider waiting for a higher probability setup or using other analysis methods.
CREDITS AND ACKNOWLEDGMENTS
Methodology Foundation:
VWAP (Volume Weighted Average Price) - Standard institutional benchmark calculation, widely used since the 1980s for algorithmic execution and fair value assessment
Standard Deviation Bands - Statistical volatility measurement applying normal distribution principles to price deviation from mean
Z-Score Analysis - Classic statistical normalization technique for comparing values across different volatility regimes
Cumulative Volume Delta (CVD) - Order flow analysis concept measuring aggressive buying versus selling pressure
Concept Integration:
Mean reversion probability engine - Custom historical statistics tracking for band touch rates
Momentum acceleration detection - Second derivative analysis of VWAP slope changes
VWAP Squeeze - Volatility compression concept adapted from TTM Squeeze methodology applied to VWAP bands versus ATR
Confidence scoring system - Weighted composite scoring combining multiple technical factors
Calculated Projection Cone - Probability-based projection using 27-state market classification (Z-Score, Trend, Volume) with historical outcome analysis and weighted fallback system
All calculations use standard public domain formulas and TradingView built-in functions. No proprietary third-party code was used.
For questions, feedback, or feature requests, please comment below or send a private message.
Happy Trading!






















