8.2 PRO @Mavrick8.2 PRO @Mavrick is a professional-grade predictive momentum indicator designed for traders who want early, high-confidence entries.
It intelligently combines trend structure, volume behavior, RSI, MACD, and price velocity to anticipate market moves before they fully develop. The indicator features auto-adaptive targets for BTC, ETH, SOL, and altcoins, advanced fake pump/dump detection, and an early momentum warning system to stay ahead of reversals.
A clean smart signal table displays real-time market strength, confidence levels, and actionable BUY/SELL readiness.
Best performance in strong trends and high-volume environments.
指標和策略
KOBK KILLSHOT PRO V 1.0KOBK KILLSHOT PRO is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
## 📝 **TradingView Publication Description**
---
### **Title:**
**KOBK KILLSHOT PRO - Advanced Multi-Timeframe Signal System**
---
### **Short Description:**
Professional-grade trading indicator combining multiple proprietary confirmation layers for high-probability entries and exits. Features intelligent signal quality rating, real-time dashboard, and adaptive exit strategies. Designed for serious traders who demand precision.
---
### **Full Description:**
**KOBK KILLSHOT PRO** is an advanced trading system that combines multiple layers of technical analysis into one powerful, easy-to-use indicator. Whether you're scalping on lower timeframes or swing trading, this indicator provides crystal-clear entry and exit signals backed by comprehensive market analysis.
---
## 🎯 **KEY FEATURES:**
**Smart Signal System:**
- Clear BUY and SELL labels appear directly on your chart
- Quality rating system (★★★★★) shows signal strength
- Early warning dots alert you to potential setups before they trigger
- Color-coded bars show trend direction at a glance
**Real-Time Dashboard:**
- Live ENTRY SIGNAL status (🟢 BUY NOW / 🔴 SELL NOW / ⏳ WAIT)
- Live EXIT SIGNAL status (🟠 EXIT NOW / ✋ HOLD)
- Current position tracking (LONG/SHORT/FLAT)
- Multiple confirmation indicators displayed in real-time
- Trend, momentum, and strength metrics updated every candle
**Flexible Exit Strategies:**
Choose from three exit modes:
- **Flip Mode:** Exit when opposite signal fires (simplest)
- **Momentum Shift:** Exit when momentum changes (faster)
- **Trail Lock:** Trailing stop that locks in profits (let winners run)
**Professional Visuals:**
- Clean, uncluttered chart interface
- Customizable colors and display options
- Toggle individual components on/off
- Works on any timeframe from seconds to daily
---
## 📊 **HOW TO USE IT:**
### **FOR BEGINNERS:**
**Step 1: Add to Chart**
- Apply KOBK KILLSHOT PRO to your chart
- Default settings work great for most traders
- Recommended timeframes: 15-second to 15-minute for active trading
**Step 2: Watch for Signals**
- **GREEN "BUY" label** = Enter LONG position
- **RED "SELL" label** = Enter SHORT position
- **Orange "EXIT" X** = Close your position
- Check the dashboard in top-right corner for confirmation
**Step 3: Follow the Quality Rating**
- **★★★★★ (5 stars)** = Highest probability setup - take these!
- **★★★★☆ (4 stars)** = Strong setup - good to trade
- **★★★☆☆ (3 stars)** = Decent setup - use caution
- **Lower ratings** = Skip unless very experienced
**Step 4: Use the Dashboard**
The live HUD tells you everything you need:
- **Entry Signal:** Shows when to enter (BUY NOW / SELL NOW / WAIT)
- **Exit Signal:** Shows when to exit (EXIT NOW / HOLD)
- **Position:** Tracks if you're LONG, SHORT, or FLAT
- **Quality:** Current signal strength rating
---
### **FOR ADVANCED TRADERS:**
**Customization Options:**
- Adjust signal sensitivity via Key Value parameter
- Control ATR period for different market conditions
- Enable/disable individual filter components
- Choose signal quality threshold (Maximum/High/Medium/Standard)
- Select preferred exit strategy based on trading style
**Filter System:**
The indicator includes multiple proprietary filters that can be toggled individually:
- Trend alignment filters
- Momentum confirmation filters
- Volatility filters
- Flow strength analysis
- Key zone detection
**Signal Quality Control:**
Set minimum quality requirements:
- **Maximum:** Only 5-star signals (very selective)
- **High:** 4-star minimum (recommended for most)
- **Medium:** 3-star minimum (more opportunities)
- **Standard:** 2-star minimum (active trading)
- **All Signals:** Every signal (experienced only)
---
## ⚙️ **RECOMMENDED SETTINGS:**
**For Scalping (15-second to 1-minute charts):**
- Key Value: 1.0
- ATR Period: 10
- Signal Quality: High (4-star minimum)
- Exit Mode: Flip or Momentum Shift
**For Day Trading (5-minute to 15-minute charts):**
- Key Value: 1.0 to 1.5
- ATR Period: 14
- Signal Quality: High
- Exit Mode: Trail Lock
**For Swing Trading (1-hour+ charts):**
- Key Value: 1.5 to 2.0
- ATR Period: 14-20
- Signal Quality: Maximum (5-star only)
- Exit Mode: Trail Lock
---
## 🎮 **SIMPLE TRADING RULES:**
1. **Wait for the signal** - Don't predict, let the indicator tell you
2. **Check the stars** - Higher quality = higher probability
3. **Verify the dashboard** - Make sure Entry Signal shows BUY NOW or SELL NOW
4. **Enter immediately** - When signal fires, don't hesitate
5. **Follow the exit** - When EXIT NOW appears, close the position
6. **Be disciplined** - Trust the system, don't override it
---
## ⚠️ **IMPORTANT NOTES:**
- **Not a holy grail:** No indicator is perfect. Use proper risk management.
- **Backtest first:** Test on demo/paper account before using real money.
- **Position sizing matters:** Never risk more than 1-2% per trade.
- **Market conditions vary:** Some days are better than others.
- **Combine with fundamentals:** Technical signals work best with good market context.
---
## 🔧 **DISPLAY OPTIONS:**
Toggle on/off as needed:
- Live Dashboard (HUD)
- Signal Quality Stars
- Early Warning Signals
- Key Zone Markers
- Trend Lines
- Additional confirmation indicators
---
## 📈 **BEST MARKETS TO USE:**
Works on any liquid market:
- Futures (NQ, ES, YM, etc.)
- Forex pairs (major and minor)
- Crypto (BTC, ETH, etc.)
- Stocks (high volume)
- Indices
---
## 💡 **PRO TIPS:**
1. **Start with higher quality settings** (4-5 stars only) until you're comfortable
2. **Use the early warning dots** to prepare for entries (get your finger ready)
3. **Pay attention to the dashboard trend indicator** - trade with the trend
4. **Don't trade during major news events** - wait for clear market direction
5. **Keep a trading journal** - track which star ratings work best for your style
6. **Adjust Key Value if needed** - higher = fewer signals, lower = more signals
---
## 🎯 **WHAT MAKES THIS DIFFERENT:**
Unlike simple indicators that just draw lines or show one metric, KOBK KILLSHOT PRO combines multiple proprietary analysis layers into one cohesive system. The intelligent filtering ensures you only see high-probability setups, while the real-time dashboard keeps you informed of market conditions every step of the way.
The star rating system is particularly powerful - it instantly tells you how many confirmation factors are aligned, so you can make quick decisions about which signals to take and which to skip.
---
## 📞 **SUPPORT:**
For questions, setup help, or optimization tips, feel free to reach out via TradingView messages. I'm here to help you succeed with this system!
---
**Disclaimer:** This indicator is for educational and informational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always use proper risk management and never trade with money you can't afford to lose.
---
## 🏆 **START TRADING SMARTER TODAY**
new takesi_2Step_Screener_MOU_KAKU_FIXED4 (Visible)//@version=5
indicator("MNO_2Step_Screener_MOU_KAKU_FIXED4 (Visible)", overlay=true, max_labels_count=500)
// =========================
// Inputs
// =========================
emaSLen = input.int(5, "EMA Short (5)")
emaMLen = input.int(13, "EMA Mid (13)")
emaLLen = input.int(26, "EMA Long (26)")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05)
volLookback = input.int(5, "Volume MA days", minval=1)
volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1)
volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1)
volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1)
wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1)
pivotLen = input.int(20, "Resistance lookback", minval=5)
pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1)
pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1)
breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1)
// --- Breakout route (押し目なし初動ブレイク) ---
useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)")
breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1)
bigBodyLookback = input.int(20, "Break candle body MA length", minval=5)
bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1)
requireCloseNearHigh = input.bool(true, "Break candle: close near high")
closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0)
allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead")
// 表示
showEMA = input.bool(true, "Plot EMAs")
showMou = input.bool(true, "Show MOU label")
showKaku = input.bool(true, "Show KAKU label")
// ★ここを改善：デバッグ表はデフォルトON
showDebugTbl = input.bool(true, "Show debug table (last bar)")
// ★稼働確認ラベル（最終足に必ず出す）
showStatusLbl = input.bool(true, "Show status label (last bar always)")
locChoice = input.string("Below Bar", "Label location", options= )
lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar
// =========================
// EMA
// =========================
emaS = ta.ema(close, emaSLen)
emaM = ta.ema(close, emaMLen)
emaL = ta.ema(close, emaLLen)
plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5")
plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13")
plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26")
emaUpS = emaS > emaS
emaUpM = emaM > emaM
emaUpL = emaL > emaL
goldenOrder = emaS > emaM and emaM > emaL
above26_2days = close > emaL and close > emaL
// 勝率維持の土台（緩めない）
baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days
// =========================
// MACD
// =========================
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdGC = ta.crossover(macdLine, macdSig)
macdUp = macdLine > macdLine
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0
macdMouOK = macdGC and macdNearZero and macdUp
macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK
// =========================
// Volume
// =========================
volMA = ta.sma(volume, volLookback)
volRatio = volMA > 0 ? (volume / volMA) : na
volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio
volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio
// =========================
// Candle patterns
// =========================
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open)
bullEngulf =
close > open and close < open and
close >= open and open <= close
bigBull =
close > open and
open < emaM and close > emaS and
(body > ta.sma(body, 20))
candleOK = pinbar or bullEngulf or bigBull
// =========================
// Resistance / Pullback route
// =========================
res = ta.highest(high, pivotLen)
pullbackPct = res > 0 ? (res - close) / res * 100.0 : na
pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct
brokeRes = ta.crossover(close, res )
barsSinceBreak = ta.barssince(brokeRes)
afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars)
pullbackRouteOK = afterBreakZone and pullbackOK
// =========================
// Breakout route (押し目なし初動ブレイク)
// =========================
breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0)
bullBreak = close > open
bodyMA = ta.sma(body, bigBodyLookback)
bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false
rng = math.max(high - low, syminfo.mintick)
closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct)
mou_breakout =
useBreakoutRoute and
baseTrendOK and
breakConfirm and
bullBreak and
bigBodyOK and
closeNearHighOK and
volumeStrongOK and
macdBreakOK
mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK
mou = mou_pullback or mou_breakout
// =========================
// KAKU (Strict): 8条件 + 最終三点
// =========================
cond1 = emaUpS and emaUpM and emaUpL
cond2 = goldenOrder
cond3 = above26_2days
cond4 = macdGCAboveZero
cond5 = volumeMouOK
cond6 = candleOK
cond7 = pullbackOK
cond8 = pullbackRouteOK
all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8
final3 = pinbar and macdGCAboveZero and volumeStrongOK
kaku = all8_strict and final3
// =========================
// Display (猛 / 猛B / 確)
// =========================
showKakuNow = showKaku and kaku
showMouPull = showMou and mou_pullback and not kaku
showMouBrk = showMou and mou_breakout and not kaku
plotshape(showMouPull, title="MOU_PULLBACK", style=shape.labelup, text="猛",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showMouBrk, title="MOU_BREAKOUT", style=shape.labelup, text="猛B",
color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny)
plotshape(showKakuNow, title="KAKU", style=shape.labelup, text="確",
color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small)
// =========================
// ★稼働確認：最終足に必ず出すステータスラベル
// =========================
var label status = na
if showStatusLbl and barstate.islast
label.delete(status)
statusTxt =
"MNO RUNNING " +
"MOU: " + (mou ? "YES" : "no") + " (pull=" + (mou_pullback ? "Y" : "n") + " / brk=" + (mou_breakout ? "Y" : "n") + ") " +
"KAKU: " + (kaku ? "YES" : "no") + " " +
"BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " +
"MACD(mou): " + (macdMouOK ? "OK" : "NO") + " / MACD(zeroGC): " + (macdGCAboveZero ? "OK" : "NO") + " " +
"Vol: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " +
"Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick))
status := label.new(bar_index, high, statusTxt, style=label.style_label_left,
textcolor=color.white, color=color.new(color.black, 0))
// =========================
// Alerts
// =========================
alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered")
alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered")
alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered")
alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered")
// =========================
// Debug table (optional)
// =========================
var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60))
fRow(_name, _cond, _r) =>
bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80)
tx = _cond ? "OK" : "NO"
table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg)
if showDebugTbl and barstate.islast
table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0))
fRow("BaseTrend", baseTrendOK, 1)
fRow("MOU Pullback", mou_pullback, 2)
fRow("MOU Breakout", mou_breakout, 3)
fRow("Break confirm", breakConfirm, 4)
fRow("Break big body", bigBodyOK, 5)
fRow("Break close high", closeNearHighOK, 6)
fRow("Break vol strong", volumeStrongOK, 7)
fRow("Break MACD", macdBreakOK, 8)
fRow("KAKU all8", all8_strict, 9)
fRow("KAKU final3", final3, 10)
fRow("MOU any", mou, 11)
fRow("KAKU", kaku, 12)
Daily Upper Wick 0.5 (Date Range)Appearance settings modified: Extend lines OFF, level color, Date Range filter, line thickness, Prices labeled and resized tiny, plot lines OFF.
Daily Lower Wick 0.5 (Date Range)Appearance settings modified: Extend lines OFF, level color, Date Range filter, line thickness, Prices labeled and resized tiny, plot lines OFF.
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe)
Local timeframe (your chart TF):
Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable).
Each cloud is:
One short EMA and one long EMA.
A filled band between them.
Color logic:
Cloud is bullish when short EMA > long EMA (green/blue-ish tone).
Bearish when short EMA < long EMA (red/orange/pink tone).
You can choose:
EMA vs SMA,
Whether to show the lines,
Per-cloud toggles.
MTF Clouds:
Two higher-timeframe EMA clouds:
Cloud 1: 50/55
Cloud 2: 20/21
Computed on a higher TF (default D, but configurable).
Show as thin lines + transparent bands.
Used for:
Visual higher-TF trend,
Optional signal filter (MTF must agree for trades).
2. Saty Pivot Ribbon (time-warped EMAs)
This is basically your Saty Pivot Ribbon integrated:
Uses a “Time Warp” setting to overlay EMAs from another timeframe.
EMAs:
Fast, Pivot, Slow (defaults 8 / 21 / 34).
Clouds:
Fast cloud between fast & pivot EMAs.
Slow cloud between pivot & slow EMAs.
Bullish/bearish colors are distinct from Ripster colors.
Optional highlights:
Can highlight fast/pivot/slow lines separately.
Conviction EMAs:
13 and 48 EMAs (configurable).
When fast conviction EMA crosses over/under slow:
You get triangle arrows (bullish/bearish conviction).
Bias candles:
If enabled, candles are recolored based on:
Price vs Bias EMA,
Candle up/down/doji,
So you see bullish/bearish “bias” directly in candle colors.
3. DTR vs ATR panel (range vs average)
In a small table panel (bottom-center by default):
Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable).
Measures current range (high–low) on that TF.
Displays:
DTR: X vs ATR: Y Z% (+/-Δ% vs prev)
Where:
Z% = current range / ATR * 100.
Δ% = change vs previous bar’s Z%.
Background color:
Greenish for low move (<≈70%),
Red for high move (≥≈90%),
Yellow in between,
Slightly dimmed when price is below bias EMA.
This tells you: “Is today an average, quiet, or explosive day compared to normal?”
4. SMA Divergence panel
Separate histogram & line panel:
Fast and slow SMAs (default 14 & 30).
Computes price divergence vs SMA in %:
% above/below slow SMA,
% above/below fast SMA.
Shows:
Slow SMA divergence as a semi-transparent column,
Fast SMA divergence as a solid column on top,
EMA of the slow divergence (trend line) colored:
Blue when rising,
Orange/red when falling.
Static upper/lower bands with fill, plus optional zero line.
This gives you a feel for how stretched price is vs its anchors.
5. RVOL table (relative volume)
Small 3×2 table (bottom-right by default):
Inputs:
Average length (default 50 bars),
Optionally show previous candle RVOL.
Calculates:
RVOL now = volume / avg(volume N bars) * 100,
RVOL prev,
RVOL momentum (now – prev) for data window only.
Table columns:
Candle Vol,
RVOL (Now),
RVOL (Prev).
Colors:
200% → “high RVOL” color,
100–200% → “medium RVOL” color,
<100% → “low RVOL” color,
Slightly dimmer if price is below bias EMA.
This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold).
6. Trend Dashboard (Price + 34/50 + 5/12)
Top-right trend box with 3 rows:
Price Action row:
Uses either Bias EMA or custom EMA on close to say:
Bullish (close > trend EMA),
Bearish (close < trend EMA),
Flat.
Ripster 34/50 Cloud row:
Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50.
Ripster 5/12 Cloud row:
Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12.
Then it does a vote:
Counts bullish votes (Price, 34/50, 5/12),
Counts bearish votes,
Depending on mode:
Majority (2 of 3) or Strict (3 of 3).
Output:
Overall Bullish / Bearish / Sideways.
You also get an optional label on the chart like
Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear).
7. VWAP + Buy/Sell Signals
VWAP is plotted as a white line.
Fast “trend” cloud mid: average of 5 & 12 EMAs.
Slow “trend” cloud mid: average of 34 & 50 EMAs.
Buy condition:
5/12 crosses above 34/50 (bullish cloud flip),
Price > VWAP,
Optional filter: MTF Cloud 1 bullish (50/55 on higher TF),
Optional filter: RVOL >= threshold.
Sell condition:
5/12 crosses below 34/50,
Price < VWAP,
Optional same filters but bearish.
When conditions are met:
Plots BUY triangle up below price (distinct teal/green tone).
Plots SELL triangle down above price (distinct magenta/orange tone).
Alert conditions are defined for:
BUY / SELL signals,
Overall Bullish / Bearish / Sideways change,
MTF Cloud 1 trend flips.
8. Data Window metrics
For easy backtesting / inspection via TradingView’s data window, it exposes:
DTR% (Current) and DTR% Momentum,
RVOL% (Now), RVOL% (Prev), RVOL% Momentum.
TL;DR – What does this script do for you?
It turns your chart into a multi-framework trend and momentum dashboard:
Ripster EMA clouds for short/medium trend & S/R.
Saty Ribbon for higher-TF pivot structure and conviction.
RVOL + DTR/ATR for context (is this a big and well-participated move?).
SMA divergence panel for overextension/stretch.
A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance.
Buy/Sell markers + alerts when:
short-term Ripster trend (5/12) flips over/under medium (34/50),
price agrees with VWAP,
plus optional filters (MTF trend and / or RVOL).
Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
BullTrading Regime FilterBullTrading Regime Filter is an ATR-based volatility regime tool that turns market conditions into a simple color system: Compression/Choppy, Normal, Trend/Vol Open, and Extreme Volatility. It helps you trade when conditions are favorable and stay disciplined when they aren’t—trade less in compression, focus on trend setups, and reduce risk in extremes. Includes background coloring, a live regime label, and an on-chart legend—built for 3m/5m/15m intraday workflows.
BullTrading Regime Filter 是一款基于 ATR 波动比值的市场环境识别工具，用颜色一眼区分「压缩垃圾 / 正常 / 趋势打开 / 极端高波动」。它帮助你在该打的时候出手、在不该打的时候克制：压缩少做，趋势重点做，极端降杠杆控风险。支持背景着色、当前环境标签与固定颜色图例，适配 3m/5m/15m 日内节奏。
Disparity Offset [WizardTrendsInc]Disparity Offset
Description
Disparity Offset measures how far price is offset from a selected moving average, expressed as a percentage. It shows whether price is trading above or below its average and by how much, helping visualize price extension, balance, and deviation from the mean. The indicator oscillates around a zero line, where zero represents price being aligned with the moving average.
How to Use Disparity Offset
Zero Line (0%)
When the Disparity Offset is near zero, price is close to the moving average, suggesting equilibrium.
Positive Values
Values above zero indicate price is above the moving average. Larger positive readings show stronger upward offset from the average.
Negative Values
Values below zero indicate price is below the moving average. Larger negative readings show stronger downward offset
Upper & Lower Offset Zones
The configurable upper and lower percentage levels highlight when price is relatively far from the moving average. Movement back toward the zero line can be used to study mean-reversion behavior.
Visual Aids
Histogram bars show direction and intensity of the offset
Shaded zones emphasize overextended conditions
Optional markers display crossings of offset levels and the zero line for observation and learning
"Disclaimer: This indicator is intended for educational purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own research and consult with a licensed financial advisor before making any trading decisions.
Market + Direction + Entry + Hold + Exit v1.5 FINALIndicator Description
Market + Direction + Entry + Hold + Exit is a rule-based intraday trading indicator designed to identify high-quality trend opportunities while filtering out low-probability market conditions.
Instead of relying on a single signal, this indicator combines market activity, trend direction, momentum, structure, and pullback logic into one unified framework. It is built to support disciplined, rule-driven trading rather than discretionary or predictive approaches.
Core Logic
The indicator operates through a multi-layer confirmation process.
First, it evaluates whether the market is active enough to trade. Market activity is determined by volatility expansion, volume participation, and price displacement from VWAP. When sufficient activity is detected, the indicator allows trades to be considered.
Next, directional bias is defined using exponential moving averages and price positioning. This creates a clear long-only or short-only environment and helps avoid counter-trend trades.
Entry Structure
Entries are based on pullbacks within an established trend rather than breakout chasing.
The first valid pullback is marked as the initial entry. If the trend continues and additional controlled pullbacks occur, re-entry opportunities are identified and labeled sequentially. This structure helps traders scale into trends in a systematic and measured way.
Hold Confirmation
While a position is active, the indicator provides hold confirmation using momentum alignment and candle behavior. This is designed to help traders remain in strong trends and reduce premature exits during normal pullbacks.
Exit Logic
Exit signals appear only when two conditions align: market structure failure and clear trend weakening. This approach avoids exits based on minor price noise and focuses on objective trend invalidation.
Intended Use
This indicator is designed for intraday trading and scalping on indices, futures, and cryptocurrency markets. It performs best on lower to mid timeframes such as 3-minute, 5-minute, and 15-minute charts, where trend continuation and pullback behavior are most visible.
Asset Presets
Built-in presets are provided for NQ, Gold, and BTC. Each preset automatically adjusts internal parameters such as volatility thresholds, structure sensitivity, and trend strength filtering.
Important Notes
This indicator does not predict future price movements. It is a decision-support tool designed to help traders align with market conditions, manage entries systematically, and maintain consistency. Risk management, position sizing, and execution remain the responsibility of the user.
지표 설명
Market + Direction + Entry + Hold + Exit는 시장의 흐름이 명확한 구간에서만 거래 기회를 포착하도록 설계된 규칙 기반 인트라데이 트레이딩 지표입니다.
이 지표는 단일 신호에 의존하지 않고, 시장 활성도, 추세 방향, 모멘텀, 가격 구조, 되돌림 조건을 단계적으로 결합하여 낮은 확률의 구간을 걸러내는 데 초점을 둡니다. 예측보다는 정렬과 필터링을 통해 일관된 의사결정을 돕는 것이 목적입니다.
핵심 개념
지표는 여러 단계의 조건을 순차적으로 통과해야 신호를 생성하는 구조로 설계되어 있습니다.
먼저, 현재 시장이 거래하기에 충분히 활성화되어 있는지를 판단합니다. 변동성, 거래량, VWAP 대비 가격 이탈 정도를 기준으로 시장 상태를 평가하며, 일정 기준 이상일 때만 거래를 고려합니다.
이후, 이동평균과 가격 위치를 기반으로 추세 방향을 정의하여 롱 또는 숏 한 방향만 허용합니다. 이를 통해 역추세 진입을 자연스럽게 차단합니다.
진입 구조
진입은 돌파가 아닌 추세 내 되돌림을 기준으로 설계되어 있습니다.
첫 번째 유효한 되돌림 구간을 초기 진입으로 표시하며, 추세가 유지되는 동안 추가적인 되돌림이 발생할 경우 재진입 기회를 순차적으로 제공합니다. 이러한 구조는 감정적인 물타기가 아닌, 규칙 기반의 분할 진입을 가능하게 합니다.
홀드 신호
포지션 보유 중에는 모멘텀 정렬과 캔들 흐름을 통해 추세 지속 여부를 확인할 수 있습니다. 이를 통해 정상적인 조정 구간에서는 성급한 청산을 줄이고, 추세가 유지되는 동안 포지션을 안정적으로 관리할 수 있도록 돕습니다.
청산 로직
청산 신호는 가격 구조 붕괴와 추세 약화가 동시에 확인될 때만 발생합니다. 단기적인 노이즈에 의한 잦은 청산을 피하고, 추세가 객관적으로 무너지는 구간에 집중하도록 설계되었습니다.
활용 대상
이 지표는 인트라데이 트레이딩과 스캘핑에 적합하며, 지수, 선물, 암호화폐 시장에서 활용할 수 있습니다. 특히 3분, 5분, 15분 차트에서 추세와 되돌림 구조가 명확하게 나타나는 환경에서 효과적입니다.
자산 프리셋
NQ, Gold, BTC에 대해 사전 설정된 프리셋이 제공되며, 각 자산의 변동성과 특성에 맞게 내부 파라미터가 자동으로 조정됩니다.
유의 사항
본 지표는 가격의 미래를 예측하지 않습니다. 시장 환경을 정리하고 거래 판단을 보조하는 도구로서 사용되며, 손절 기준과 포지션 사이즈 관리는 사용자 책임입니다.
Ultimate Trading System - DMA/EMA + Volume + Chart PatternsOVERVIEW
Ultimate Trading System (UTS) is a comprehensive technical analysis tool that combines multiple analysis methods into one powerful
indicator. It detects market structure, identifies chart patterns, analyzes volume, and provides actionable trade recommendations.
FEATURES
17 MOVING AVERAGES
• 6 DMAs (Simple): 5, 10, 20, 50, 100, 200
• 11 EMAs (Exponential): 5, 8, 9, 12, 20, 21, 34, 50, 100, 180, 200
• Smart labels with price values
• Golden Cross / Death Cross detection
CHART PATTERN DETECTION
• Triangles: Ascending, Descending, Symmetrical
• Reversals: Head & Shoulders, Double Top, Double Bottom
• Continuation: Bull Flag, Bear Flag
• Confidence scores for each pattern
VOLUME ANALYSIS
• Relative volume vs 20-period average
• Volume trend detection (rising/falling)
• Bullish/Bearish divergence alerts
• Volume confirmation for signals
SMART ANALYSIS TABLE
• Real-time pattern detection
• Probability-based confidence scores
• Clear trade recommendations
• Volume status and divergence warnings
MARKET STRUCTURE DETECTION
• ACCUMULATION - Strong bullish setup
• DISTRIBUTION - Strong bearish setup
• BULL SETUP - Favorable long conditions
• BEAR SETUP - Favorable short conditions
• TRANSITION - Market changing direction
• CHOPPY - Avoid trading
HOW TO USE
1. Check the analysis table for current market bias
2. Look for pattern confirmations (Triangle, H&S, Double Top/Bottom)
3. Verify volume is confirming the move (not diverging)
4. Follow the ACTION recommendation
5. Use MA levels for support/resistance and stop placement
RECOMMENDATIONS
• 80%+ Confidence = Strong signal, consider entry
• 60-80% Confidence = Look for entries on pullbacks
• 40-60% Confidence = Wait for confirmation
• <40% Confidence = Avoid trading
SETTINGS
• Toggle individual MAs on/off
• Customize colors for each MA
• Adjust label offsets
• Set alert sensitivity (Conservative/Medium/Aggressive)
• Show/hide background colors and analysis table
ALERTS
Set alerts for:
• Strong Buy/Sell signals
• Chart pattern detection
• Volume divergences
• Golden/Death crosses
BEST USED ON
• Stocks, Forex, Crypto, Indices
• Timeframes: 5min to Daily
• Works on all markets
ARDO - Adaptive Regression Deviation Oscillator (v2.4.6)ARDO – Adaptive Regression Deviation Oscillator (v2.4.6)
ARDO (Adaptive Regression Deviation Oscillator) quantifies deviation of price structure from a regression-based equilibrium baseline using adaptive moving-average spreads. It combines percentile-normalized distance, linear-regression slope, and dynamic gradient scaling to reveal trend extension, exhaustion, and regime shifts—offering a structural view of trend integrity and mean-reversion timing beyond traditional momentum oscillators. It is designed to help you answer two questions:
Where are we in the regime? (extended, neutral, or reversal-prone)
Is this a “trade” environment or a “stand aside” environment? (Gate PASS vs Gate BLOCK / drift)
ARDO is best used as a context + timing framework , not a standalone entry/exit system.
What you see in the ARDO pane
1) Spread A (% vs baseline)
Primary “timing” spread (default: stepline). Spread A is colored by a 4-state maColor model:
GREEN : above baseline and strengthening
ORANGE : above baseline but weakening
RED : below baseline and weakening
GRAY : below baseline but improving
2) Spread B (% vs baseline)
Secondary “context” spread (default: columns). Same 4-state color model as above, often used to confirm or filter Spread A behavior.
3) LinReg (slope-gradient)
A LinReg line fit to a selected source (Spread A / Spread B / Spread A+B). ARDO applies a slope-magnitude gradient (opacity/intensity) to visualize regime:
Stronger slope magnitude = stronger directional regime
Fading / low slope magnitude = drift / dead-zone (lower edge, choppy conditions, or end-of-move)
4) Tier zones (Q0–Q2, H2–H4)
ARDO classifies LinReg values into percentile tiers (extremes and mid-tiers). These tiers can be rendered as:
Background regions, or
Zero-line marker circles (“MK …” plots)
Important: Background colors do not export . The “MK Q0 … MK H4” series are emitted so you can reconstruct tier membership in CSV/backtests.
5) Gate PASS / Gate BLOCK
A compact “permission layer” that can require:
Spread A > LinReg
EMA Fast > EMA Slow
Minimum Spread A threshold
Minimum absolute LinReg slope
Use Gate PASS to focus on higher-quality conditions; use Gate BLOCK as a “do nothing / reduce size” warning.
Key settings (what they change)
Tier Mode
Standard: symmetric cut structure (general purpose)
Asymmetric: separate tuning for highs vs lows (often better when upside and downside behavior are not symmetric)
Tier Population
All Bars (LinReg): tiers represent the full LinReg distribution
Pivots Only: tiers are computed from pivot events only (can tighten “extreme” definition and change how frequently zones appear)
Render Mode
Background: easiest to read visually
Zero-line Markers: best for export/backtesting workflows (MK series)
Gating options
Turn on/off each rule independently; adjust thresholds to match symbol volatility and timeframe.
Color overrides
Optional per-state color customization for Spread A, Spread B, and LinReg (4-state).
Alerts included (v2.4.6)
ARDO exposes named alerts you can use for automation or review, including:
Gradient / regime alerts (HIGH vs LOW slope-magnitude regimes; regime shift transitions)
Color-state changes (Spread B → GREEN/ORANGE/RED/GRAY; LinReg state changes)
Tier entry alert s (LinReg entering key tiers such as Q0/Q1/H3/H4)
Structural primitives (Bullish A > B, Bearish A < B, Gate PASS/BLOCK, crosses of 0, etc.)
How to use (practical workflow)
Anchor timeframe (65m or Daily): identify regime (tiers + gradient) and whether you should be aggressive or defensive.
Execution timeframe (5m/1m): time entries using Spread A/B structure and Gate PASS, aligned with the anchor regime.
Avoid forcing trades in drift: fading gradient + mid/low-edge tiers often marks “dead-zone” conditions.
Notes / limitations
ARDO is a context engine: it describes regime and location, not guaranteed direction.
Tier thresholds are distribution-based and will vary by window/timeframe.
Always apply your own risk management; this script is not financial advice.
FVG DUAL HTF ALERTS FINAL DG FVG Dual HTF - Advanced Fair Value Gap Detector with Confluence & Strength Analysis
Professional-grade Fair Value Gap (FVG) detection system designed for precision trading on Gold and other instruments.
🎯 Key Features
Dual Higher Timeframe Analysis
HTF1 & HTF2 Detection: Simultaneously monitors two higher timeframes (default: 15min & 60min) for Fair Value Gaps
Multi-timeframe Confluence: Automatically detects when FVGs align across multiple timeframes for high-probability setups
Customizable Timeframes: Choose from 5min, 15min, 60min, 4H, or Daily for each HTF
Intelligent Strength Scoring System (0-11 Scale)
Our proprietary algorithm rates each FVG based on:
Gap size relative to ATR
Volume analysis vs. average
Current timeframe confluence (★ symbol indicates FVG exists on your chart timeframe)
Session timing (London & New York priority)
HTF confluence bonus
Color-Coded Ratings:
🟢 Lime (8-11): Premium strength - highest probability setups
🟡 Yellow (5-7): Good strength - solid opportunities
⚪ Gray (0-4): Weak strength - proceed with caution
Sweet Spot Entry Zones
Inner Box Technology: Highlights the optimal 10% entry zone within each FVG
BUY/SELL Labels: Clear visual cues for directional bias
Automatic Entry/Stop/Target Lines: Shows precise risk-reward setups on the 3 nearest FVGs
Position Sizing Calculator: Displays dollar values based on your lot size
Advanced Fill Methods
Choose how FVGs are invalidated:
Wick Sweep: Most conservative - requires price to sweep through the gap
Any Touch: Price touches the FVG boundary
Midpoint Reached: 50% fill required
Body Beyond: Strictest - candle body must close through the gap
Comprehensive Market Intelligence Table
Real-time monitoring of:
Gold Daily & Hourly Bias (with pip movement)
BTC Daily & Hourly Bias (optional)
Distance to nearest Bull/Bear FVGs
IN ZONE Indicator: 🔥 Alerts when price enters premium sweet spots
Shows strength rating and HTF source
Color-coded: Premium / Good / Weak / Out
Professional Alert System
HTF1 & HTF2 Zone Entry Alerts
Sweet Spot Entry Alerts (BUY/SELL)
High-Strength FVG Alerts (8+ rating)
Combined "ANY HTF" alerts for maximum flexibility
📊 Default Configuration
Optimized for Gold (XAU/USD) on 3-minute charts
Session Focus: London (8am-12pm GMT) & New York (1:30pm-4pm GMT)
Risk Management: Built-in R:R calculator with customizable stops and targets
🎨 Customization Options
Multiple color schemes for bull/bear zones
Adjustable inner box percentage
Confluence highlighting (bright colors when HTF1 & HTF2 align)
Show/hide individual components
BTC correlation tracking (optional)
⚙️ Technical Specifications
Maximum Display: Up to 50 FVGs per type (HTF1 Bull/Bear, HTF2 Bull/Bear)
Fill Tracking: Monitors touched vs. untouched zones
Lookback Period: Configurable (default: 100 bars for current TF confluence)
Body Close Requirement: Optional strict mode for cleaner signals
📈 Best Used For
Gold (XAU/USD) day trading
Institutional order flow analysis
High-probability reversal setups
Multi-timeframe confirmation strategies
Risk-reward optimization
🔒 Access & Support
This is a private indicator. Contact the owner for details about access and usage.
Disclaimer: This indicator is a tool for technical analysis. Past performance does not guarantee future results. Always use proper risk management and trade responsibly.
Short Version (if space is limited):
FVG Dual HTF - Professional Fair Value Gap System
Advanced FVG detector with dual higher timeframe analysis, intelligent strength scoring (0-11), and multi-timeframe confluence detection. Features sweet spot entry zones, automatic R:R lines, real-time IN ZONE alerts, and comprehensive market intelligence table.
Highlights:
🎯 Dual HTF monitoring (15m/60m default)
⭐ Strength scoring with current TF confluence (★)
📊 Color-coded ratings: Lime (8+) / Yellow (5-7) / Gray (<5)
🎨 Sweet spot inner boxes with BUY/SELL signals
🔔 Professional alert system
💰 Built-in position sizing calculator
📈 Gold Daily/Hourly + BTC bias tracking
Optimized for Gold and BTC. Multiple fill methods, customizable colors, and extensive settings.
Contact owner for access details.
Visible Range / POC / Volume / SNR Detector PROVisible Range POC & Volume SNR Detector PRO
Visible Range POC & Volume SNR Detector PRO is a professional-grade volume-based market structure tool designed to identify institutional Support & Resistance zones, Point of Control (POC), and Value Areas directly from the visible chart range.
This indicator goes beyond traditional swing highs and lows by analyzing real traded volume, revealing where large players are active, where price finds fair value, and where high-probability reactions are most likely to occur.
🔍 Core Features
📊 Visible Range Volume Profile
🔹Builds a full Volume Profile using only the visible chart range
🔹Splits price into configurable precision bins for maximum accuracy
🔹Detects true volume clusters instead of subjective price levels
🎯 Point of Control (POC)
🔹 Automatically identifies the highest-volume price level
🔹Acts as a magnet price where market participants agree on value
🔹Fully customizable line style, width, and color
🔹 Optional label with timeframe + price + volume (K / M / B)
📦 Value Area (VAH / VAL)
* Calculates Value Area High & Low around the POC
* Default **70% volume range** (institutional standard)
* Optional Value Area fill for clear fair-value visualization
* Helps distinguish **range conditions vs trending moves**
🧱 Volume-Based Support & Resistance Zones
🔹Automatically detects high-impact S&R zones from volume behavior
🔹Zones are visually classified by strength:
🔹 🟢 Strong
🔹 🟡 Medium
🔹 🔴 Weak
🔹Clean box rendering with customizable borders:
🔹 Solid / Dashed / Dotted
🔹 Zones extend dynamically into the future for planning trades
🔄 Dynamic Flip Logic (PRO Standard)
🔹 Advanced Dynamic Flip system:
🔹 Support ➜ Resistance after a breakdown
🔹Resistance ➜ Support after a breakout
🔹 Reflects real market structure shifts
🔹Eliminates outdated static levels
🔁 True Retest & Zone Intelligence
🔹Each zone includes detailed contextual data:
🔹🔄 True Retest Count (price leaves zone and comes back)
🔹⏳ Zone Age (minutes / hours / days)
🔹💪 Strength Classification
🔹🔁 Flip Status
🔹⏱️ Timeframe
🔹💲 Exact price level
🔹All information is displayed in a single clean label.
🔔 Smart Alerts System
🔹Never miss key interactions:
🔹🟢 Touch Alert — price enters a zone
🔹⬇️⬆️ Break Alert — zone failure or breakout
🔹🔄 Retest Alert — classic break & retest setup
Alerts trigger on confirmed bars to reduce noise and false signals.
📋 Professional Dashboard
🔹At-a-glance market overview:
🔹Total Support & Resistance zones
🔹🎯 POC level
🔹📦 VA High / VA Low
🔹💪 Strong / Medium / Weak zone distribution
🔹📍 Nearest Support & Resistance
🔹📏 Distance to key levels
🔹 🎨 Auto / Dark / Light theme support
🔹 📐 Adjustable size & position
ADAPTIVE ICT MULTI-ZONEAdaptive ICT Multi-Zone
Why Another ICT Script?
Most public ICT zone scripts flood your chart with dozens of noisy, overlapping boxes that never get cleaned up, use fixed lookbacks that work on one asset and fail on another, and mark every tiny gap as “FVG” — turning the chart into a rainbow mess that’s impossible to trade.
ADAPTIVE ICT MULTI-ZONE is built differently:
Only the strongest, most recent zones pass the adaptive filter (default 3 bullish OB + 3 bearish OB + 3 FVG). No more chart clutter.
Fair Value Gaps are filtered by ATR (default ≥ 0.7 × ATR) and optional high-volume confirmation so you only see gaps that actually matter.
Order Blocks are true swing-based (pivot high/low).
Every zone automatically extends far to the right until price closes through it — you never miss a mitigation.
Zero repainting. Zero lag. Zero memory leaks. Runs perfectly on every time frame.
In short: while many ICT scripts are noisy toys, this one is a surgical tool that shows exactly what institutional desks are up to.
How to Trade It Best (Simple & Effective)
Wait for price to return to a freshly drawn zone (watch the newest ones — they have the highest probability).
Look for confluence:
Price inside a Bullish Order Block + bullish engulfing or strong volume → aggressive long.
Price inside a Bearish Order Block + bearish engulfing or strong volume → aggressive short.
Price sweeping into an FVG and instantly rejecting → high-probability reversal (especially if the FVG had high volume when created).
Use higher-timeframe bias: if the daily/4H zone aligns with your 15-min or 5-min zone → stack size.
Take partials at the opposite-side order block or next FVG. Let runners go to next liquidity zone.
That’s it.
This script doesn’t try to do everything. It does one thing — show you the exact institutional zones that actually get respected — and it does it cleaner and smarter.
Add it, delete every other OB/FVG script you own, and catch more accurate reversals.
Smart Money Concepts [Kodexius]Smart Money Concepts is a price action framework designed to integrate market structure, liquidity behavior, and inefficiencies into a single, readable view. Rather than acting as a signal generator, it serves as a live market map highlighting where price has displaced, where liquidity may be resting, which zones remain valid, and how that context updates as new candles print.
What separates this script from typical “SMC bundles” is not the presence of familiar concepts like swings, order blocks, FVGs or liquidity sweeps. The value is in the engine design and how the components are maintained together as a consistent state, with automatic pruning and prioritization so the chart stays usable over time. Many tools can draw boxes, but fewer tools manage the lifecycle of those zones, reduce overlap, rank relevance, and keep the display focused on what still matters near current price.
At the core is a structure model that tracks directional state and labels structural transitions as they happen. CHoCH and BoS are not just printed whenever price crosses a line. Each event is anchored to a swing reference and handled in a way that reduces repeated triggers from the same context, helping you see genuine transitions versus minor noise. This gives structure a “narrative” across time instead of a cluttered sequence of identical labels.
Order blocks are built from the most relevant candle within the post break window and displayed as true zones that extend forward while they remain valid. Beyond the zone itself, the script adds context that is usually missing in basic OB implementations: a volumetric pressure visualization and a displacement strength score that is normalized and ranked over a rolling window. In practice, this creates an information hierarchy. You can quickly see which zones carried more participation, whether the internal push was dominated by buying or selling pressure, and whether the move that created the zone had meaningful displacement relative to recent history. This is designed to help prioritization, not to claim prediction.
Imbalances are handled as a dedicated module with multiple detection modes (FVG, VI, OG, IFVG) and optional MTF logic so you can map inefficiencies from a higher timeframe while executing on a lower timeframe. Each imbalance is displayed as a zone with a midline reference, and mitigation behavior can be tuned (wick or close). IFVG adds lifecycle depth by tracking inversion behavior rather than simply deleting the zone, which can be useful for monitoring how price rebalances and flips inefficiencies over time. An optional sentiment style internal fill is available for visual context, but it is intentionally framed as informational rather than a “buy/sell meter.”
Liquidity is treated as an event driven layer. Pivot highs and lows are tracked as potential liquidity pools, then monitored for sweeps and rejection behavior. If you enable EQH/EQL logic, the script can label equal highs and lows during the sweep process to highlight common resting liquidity formations. A volume filter is available to reduce low quality levels, aiming to keep the liquidity map focused on swings that occurred with meaningful participation rather than every small fluctuation.
Swing Failure Patterns (SFP) are included as a separate confirmation style tool that focuses on rejection after liquidity is taken. The module supports optional volume validation using lower timeframe volume distribution outside the swing level, which helps filter some low quality SFPs on noisy instruments. The output is a cleaner set of events intended to complement structure, liquidity and zones, not replace discretionary decision making.
For higher timeframe context, the HTF candle projection panel can display a compact set of higher timeframe candles to the right of current price, with classic or Heikin Ashi style and configurable sizing, spacing and labels. This allows you to maintain HTF awareness without switching charts, which is especially helpful when structure and zones are being interpreted across multiple timeframes.
Finally, the alert framework is designed around well defined structural and zone states. Alerts cover structural shifts (CHoCH, BoS), liquidity sweeps, new and broken order blocks, breaker behavior (if enabled), new and approached imbalances, premium and discount entries, trendline events, and SFP detection. These alerts are intended as monitoring prompts so you can review context, not as automated trade execution signals.
Every major component is modular and configurable. You can run a minimal structure only layout or enable a full framework with zones, imbalances, liquidity, SFP and HTF projection. The guiding principle is chart clarity and relevance: keep the most important information visible, reduce overlap and stale objects, and maintain a consistent view of how price is interacting with liquidity and value over time.
🔹 Features
🔸 Market Structure Engine (CHoCH and BoS)
This script automatically tracks zigzag based market structure and differentiates between:
CHoCH (Change of Character) : the first meaningful structural shift that suggests the prior directional leg is weakening.
BoS (Break of Structure) : continuation breaks that confirm structure extension in the active direction.
Instead of relying on plain pivot dots, our market structure swings are built with a lightweight zigzag style engine that tracks direction and “locks in” the true leg extreme only when the leg flips. This produces cleaner, more consistent swing highs/lows for BOS/CHoCH than simple left/right pivot checks.
Bullish CHoCH:
Bearish CHoCH:
Bullish BoS:
Bearish BoS:
🔸 Order Blocks with Volumetric and Displacement Insight
The script identifies recent bullish and bearish order block zones around meaningful structural reactions and keeps the display focused on the most relevant areas. Instead of drawing a static rectangle and leaving it there forever, each zone is maintained as an active region on the chart and can be limited by a user defined visibility depth to avoid clutter. When enabled, the overlay also adds compact volume based context inside the block so you can quickly compare relative participation between recent zones and see whether the origin move showed strong follow through versus a softer transition. The intention is to provide structured context and cleaner prioritization on the chart, not to present a trade call or a guaranteed reaction level.
Bullish Order Block:
Bearish Order Block:
Order blocks are derived from the structure shifts, marking the institutional “origin zone” behind a decisive move and projecting it forward as a live area of interest. In practice, it highlights the candle cluster where price last rebalanced before expanding away, so you can track potential retests with context instead of guessing.
Inside each order block, the internal bars act as a compact strength meter green vs red summarizes the relative bullish vs bearish participation, while the blue segment reflects the “departure force” (displacement/momentum) away from the zone. It’s meant to help you scan which blocks left clean and strong versus those that moved out more slowly or with mixed pressure.
🔸 Breaker Blocks & Mitigation Tracking
Tracks when previously identified order blocks fail and converts them into breaker blocks, visually marking a change in how price is interacting with that zone.
Bullish Breaker Block :
Bearish Breaker Block :
Separate handling of bullish and bearish breakers with clear color differentiation.
Includes optional “mitigation” logic using either wick or close to determine when a block is considered broken or mitigated.
Breaker blocks are updated and removed dynamically as price trades through them, keeping the chart focused on current, active zones.
🔸 Imbalances
The imbalance module maps common price inefficiencies as zones, with support for multiple detection styles such as Fair Value Gaps, volume style imbalances, opening gaps, and an inverted gap mode. Each imbalance is drawn as a practical area on the chart with a midpoint reference, so you can quickly see where price may be revisiting unbalanced movement. You can also choose how mitigation is evaluated (wick or close) and optionally run imbalance detection on a separate timeframe for cleaner higher timeframe context while staying on your execution chart.
Fair Value Gaps:
Inverse Fair Value Gaps:
Opening Gaps:
🔸 Liquidity Sweeps, EQH/EQL, and Optional Volume Filter
Liquidity levels are derived from swing highs and lows and then monitored for sweep behavior, where price trades beyond a prior level and rejects back. If you enable EQH/EQL marking, the script can highlight equal highs and equal lows behavior around those liquidity areas to make common pool formations easier to spot. An optional volume filter can be used to reduce tracking of low participation swings, helping keep the liquidity layer focused and less noisy on instruments that produce frequent small pivots.
Sellside Liquidity Sweep Definition:
Buyside Liquidity Sweep Definition:
Highlights equal highs (EQH) and equal lows (EQL) when sweeps occur, marking where price probed above/below prior liquidity and then rejected.
Optional volume filter to ignore low volume swings and focus on more meaningful liquidity zones.
🔸 Premium, Discount, and Equilibrium
The premium and discount view provides a simple contextual map of where price is trading within a measured range, alongside an optional equilibrium line as a midpoint reference. This is intended as a higher level framing tool to help you avoid treating every price location the same, especially when combining structure with reaction zones. Price labels can be enabled for quick orientation, and the display updates as the underlying range evolves.
Projects premium and discount bands based on a dynamically measured range, offering a simple view of where price is trading relative to that range.
Draws separate Premium and Discount boxes with optional price labels for quick orientation.
Optional mid line (equilibrium) to visualize the “50%” of the current range, often used as a reference for balanced versus extended price.
Zones auto update as the underlying range evolves, with logic to prevent stale levels from cluttering the chart.
🔸 Trend Channels
When enabled, the trend module draws swing based diagonal structure using trendlines and a channel style visualization. You can tune sensitivity and choose whether the source should be depending on how you prefer to read trend behavior. The channel is maintained dynamically so you can keep directional context without manually drawing and constantly adjusting diagonal lines, and the script can highlight basic break behavior when price pushes beyond the active diagonal reference.
🔸 Swing Failure Pattern (SFP) Detector
The SFP module highlights common swing failure behavior, where price briefly trades beyond a swing level and then reclaims it, often reflecting a liquidity grab followed by rejection. Bullish and bearish SFPs can be enabled independently, and the display is designed to keep the key level and the rejection visible without excessive clutter. Optional volume validation can be used as a filter, so you can choose whether you want the detector to be more permissive or more selective based on participation characteristics.
🔸 HTF Candle Projection Panel
The HTF panel projects a compact set of higher timeframe candles to the right of price, giving you higher timeframe context without switching charts. You can select classic candles or Heikin Ashi style, adjust the scale and spacing, and optionally display reference lines and labels for OHLC values. This is a visual context tool intended to support multi timeframe reading, not a replacement for your own higher timeframe analysis.
In addition to projecting higher timeframe candles, the HTF panel can also detect and visualize higher timeframe liquidity sweeps directly within the projected candle set. The script monitors each completed HTF candle’s high and low and evaluates subsequent HTF candles for sweep behavior i.e., when price briefly trades beyond a prior HTF extreme but fails to hold acceptance beyond it (filtered using the later candle’s body positioning). When a sweep is detected, the panel draws a dotted sweep line and marks the event, allowing you to spot HTF stop runs and failed breaks without switching timeframes. Sweeps are dynamically invalidated if a later HTF candle shows genuine acceptance beyond that level, ensuring the display stays context relevant and avoids stale markings. This turns the HTF projection from a passive visualization into an actionable context layer for identifying HTF liquidity events while executing on lower timeframes.
🔸 Alerts
Alerts are included for the most practical events produced by the overlay, such as structure shifts (CHoCH and BoS), liquidity sweeps, new and invalidated zones, price approaching recent zones, imbalance creation and mitigation, premium or discount entries, trendline events, and SFP detections. The alerts are designed to function as a monitoring layer so you can be notified when something changes in your mapped context, rather than acting as standalone trade instructions.
🔸 Originality & Usefulness
This script is not a collection of separate SMC drawings layered on top of price. It is built as a unified price action engine where market structure, order blocks, inefficiencies, and liquidity are produced from the same evolving state. That matters because most SMC indicators treat these concepts as independent overlays, which often leads to contradictory markings and excessive clutter. Here, the design priority is consistency and readability: modules update in sync, older elements are managed, and the chart stays usable during live conditions.
A key differentiator is the internal swing logic, which functions like a compact zigzag style structure engine. Instead of reacting to every minor fluctuation, it aims to focus on meaningful swing decisions and treat structure as a sequence. This reduces repetitive labeling and makes structural transitions easier to follow. Structure events are anchored to the swing that defined them and are designed to trigger in a clean, non spammy way, which is critical for anyone who uses structure as a workflow backbone.
The structure layer is intentionally narrative oriented. It separates a transition event from continuation events, so CHoCH is used to highlight the first meaningful shift after an established leg, while BoS is used to mark follow through in the same direction. This is not a prediction claim. It is a clarity feature that helps users read “phase changes” versus “continuation” without constantly second guessing whether the script is just printing noise.
Order blocks are where this script becomes especially distinctive compared to typical SMC tools. Instead of drawing identical rectangles, each block is rendered with an internal gauge that communicates participation and directional dominance at a glance. The zone is visually segmented to reflect bullish and bearish pressure components, and it also carries a volume readout plus a relative weight compared to other recent blocks. This creates a ranked view of blocks rather than an unfiltered pile. In practice, you can prioritize zones faster because the script surfaces which blocks had more meaningful participation and whether the internal push looked one sided or mixed. The result is less subjective filtering and a cleaner chart.
Imbalances are handled as structured inefficiency zones with clear references and optional context. Beyond drawing the zone and midpoint, the script can overlay a sentiment style gauge that divides the imbalance into bullish and bearish portions and updates as new data comes in. The practical value is that you can see whether an inefficiency remains strongly one sided or is gradually being balanced. This turns imbalances from static boxes into a living context layer, which is particularly useful when you monitor reactions over time instead of treating every touch the same.
Liquidity is treated as an event driven tracking system rather than simple pivot plotting. Liquidity pools are identified from swing behavior and can be gated through a participation filter so the script focuses on levels that formed with meaningful activity rather than low quality noise. Once tracked, levels are monitored for outcomes like sweeps and equal high/low behavior, and then updated or retired when they are decisively resolved. This prevents the display from accumulating stale levels and keeps the liquidity layer focused on what is still relevant now.
Swing failure patterns are integrated as selective events rather than continuous spam. The intent is to produce fewer but more structurally meaningful SFPs, aligned with the liquidity narrative, instead of printing clusters around the same price area. This keeps the pattern readable and reinforces the “event based” design philosophy across the script.
Higher timeframe context is supported through a compact HTF projection panel that provides quick orientation without forcing constant timeframe switching. It lets you see where current price action sits inside a larger timeframe candle and range, which helps maintain consistency when you are executing on a lower timeframe but respecting higher timeframe structure.
Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice, and it does not guarantee results.
🔹 How to Use
This tool is designed to support multiple trading styles, but it is most effective when you treat it as a top down mapping and decision support tool. A practical workflow looks like this.
1) Establish higher timeframe bias and context
Start on your reference timeframe such as H4 or Daily and read the market’s dominant story first. Use the Market Structure Engine to identify whether the market is in continuation mode or transition mode. The goal is to avoid executing lower timeframe ideas that conflict with the larger structure narrative.
Use the HTF Candle Projection Panel as a fast orientation aid. It helps you judge whether current price is building acceptance near the highs of the larger candle, rotating back toward its open, or rejecting from its extremes. This is especially useful when you execute on lower timeframes but want to stay aligned with higher timeframe positioning.
Add Premium and Discount framing to understand location. When price is trading in premium, continuation longs are often more selective and require stronger confirmation, while shorts may have better location if structure supports it. When price is in discount, the opposite applies. Treat this as location context, not a rule.
2) Map your key reaction zones with prioritization
Next, build your map of where reactions are most likely to occur. Enable Order Blocks with Volumetric Insight to highlight the most relevant origin zones that form after important structure events. Keep your focus on the most recent blocks and adjust the visible depth so the chart stays clean.
Use the internal gauge and participation readouts to prioritize. Instead of treating every zone as equal, treat higher participation blocks as primary candidates and lower participation blocks as secondary. The bullish and bearish split inside the gauge helps you quickly judge whether the zone formed from a clearly one sided push or a more mixed move, which can inform how strict you want to be with confirmation on a retest.
If you use Breaker Blocks, treat them as role shift zones. They are especially useful when the market has clearly transitioned and you want to track where a previously defended origin area may become a meaningful retest level later.
3) Layer in inefficiencies only where they add clarity
If your workflow includes imbalances, add them selectively to avoid visual overload. Use Fair Value Gaps, Volume Imbalances, or Opening Gaps as secondary reaction areas that often sit inside, near, or between larger zones.
If you enable the internal sentiment gauge, read it as context rather than a signal. It is meant to help you see whether the imbalance remains one sided or has started to balance out as price develops. A strongly one sided presentation can support the idea of continuation through the zone, while a more balanced presentation can support the idea of deeper mitigation or chop. Use it to refine expectations, not to force entries.
4) Track liquidity as events, not as static levels
Enable Liquidity Sweeps and EQH/EQL tagging to highlight where resting liquidity is likely concentrated and when it gets taken. The main value here is narrative: you can see when price runs obvious highs or lows and whether it immediately rejects back into structure or accepts beyond the level.
If you use the volume filter, treat it as a quality gate. The point is to ignore small, low participation swings and keep the liquidity layer focused on levels that formed with meaningful activity. This tends to reduce noise and makes sweeps and equal level behavior more relevant.
Combine the liquidity layer with the Swing Failure Pattern detector to isolate moments where liquidity is taken and then rejected. The cleanest use is when SFPs occur at or near your pre mapped reaction zones, after a sweep, and in alignment with your higher timeframe bias.
5) Refine execution timing on your entry timeframe
Drop to your execution timeframe and use local structure shifts as timing tools. CHoCH and BoS on the lower timeframe can help you see when micro structure is flipping in your intended direction after price interacts with your mapped zone.
If you use the Trend Channel framework, treat it as diagonal context rather than strict support and resistance. A channel helps you see where price is riding the trend and where it is deviating. This can help you time entries by waiting for price to re enter the corridor, show rejection near a boundary, or confirm a shift by building structure outside the channel.
A common practical sequence is: price reaches a mapped OB or imbalance area, liquidity gets taken, price rejects, micro structure begins to flip, and then you execute with your own confirmation and risk rules. The tool helps you see each step clearly, but your plan determines what is sufficient confirmation.
6) Use alerts as monitoring, not as standalone signals
Set alerts only for events that are meaningful to your workflow, such as:
-fresh CHoCH or BoS in your preferred direction
-new or invalidated order blocks and breaker blocks
-price approaching the most recent priority zones
-liquidity sweeps and EQH/EQL interactions
-new SFP events
-entry into premium or discount and interaction with HTF projection levels
-imbalance creation, mitigation, or approach
Treat alerts as prompts to check the chart, not as automatic entries or exits. This script is designed as a mapping and decision support tool. Trade execution, confirmation, and risk management remain entirely dependent on your own strategy and discretion.
🔴 Price Action Practical Notes
💠 Market structure
Market structure is the framework used to describe how price organizes itself into swings. It is built from successive swing highs and swing lows, and it is used to decide whether the market is expanding upward, expanding downward, or transitioning. A practical structure model focuses on “meaningful” turning points rather than every minor fluctuation, because the goal is to capture intent and flow, not noise.
💠 Swing highs and swing lows
A swing high is a local peak where price stops advancing and begins to rotate lower, while a swing low is a local trough where selling pressure pauses and price rotates higher. Swings matter because many traders anchor risk, liquidity, and entries around them. The stronger the reaction away from a swing, the more likely it is to be referenced again as a decision point.
💠 Break of structure
A break of structure is the event where price decisively exceeds a prior swing in the direction of the prevailing move. In practice, it is used as confirmation that a directional leg is still active and that liquidity resting beyond the swing has been taken. This concept is less about predicting and more about validating continuation.
💠 Change of character
A change of character is a structural break that signals transition rather than continuation. Instead of breaking a swing in the same direction as the recent trend, price breaks a key swing in the opposite direction, suggesting that control may be shifting. It is often treated as an early warning that the market may be moving from continuation into reversal or deeper pullback conditions.
💠 Order blocks
An order block is commonly described as the last opposing candle or consolidation zone that precedes a strong directional expansion. The idea is that this area represents a footprint of aggressive execution and unfilled interest. When price revisits it later, it can act as a reaction zone because participants who missed the move may defend it, or because remaining orders may still exist there.
💠 Mitigation and invalidation of a zone
Mitigation describes the process of price returning to a zone and “consuming” the remaining interest there. A zone is typically considered invalidated when price trades through it in a way that implies the resting orders were absorbed and the area no longer has protective value. Some approaches treat a wick through the boundary as enough to invalidate, while others require a candle close beyond the boundary to confirm that the level has truly failed.
💠 Breaker blocks
A breaker block is an order block concept that changes role after being invalidated. When a previously respected zone fails, it can later become a reaction area in the opposite direction because trapped participants may use the retest to exit, or because the market may recognize it as a new supply or demand reference. Breakers are often treated as “failed zones that become liquidity magnets” and are closely watched on retests.
💠 Liquidity and liquidity pools
Liquidity is the availability of resting orders that allow large transactions to execute with minimal slippage. In chart terms, liquidity pools often form around obvious swing highs and lows, equal highs and lows, and clear ranges. These areas attract price because they contain clustered stops and entries that can be used to fuel continuation or trigger reversals through rapid order flow shifts.
💠 Liquidity sweeps
A liquidity sweep is a move where price briefly trades beyond a known liquidity pool and then returns back inside, often closing back within the prior range. The concept implies that stops were triggered and liquidity was captured, but that continuation beyond the swept level did not sustain. Sweeps are frequently used as context for reversals or for confirming that a “cleanout” occurred before a directional move.
💠 Equal highs and equal lows
Equal highs and equal lows describe repeated swing levels that form a flat or nearly flat top or bottom. They matter because they concentrate liquidity. Many traders place stops just beyond these repeated levels, and many breakout traders place entries around them. The result is a dense cluster of orders that can be targeted efficiently by price.
💠Imbalances and inefficiencies
Imbalances represent zones where price moved so quickly that it left behind inefficient trading, meaning fewer transactions occurred in that region compared to surrounding areas. The underlying idea is that markets often revisit these areas to rebalance, fill gaps, or complete unfinished business. Imbalances are treated as areas of interest for pullback entries, targets, or reaction zones.
💠 Fair value gap
A fair value gap is a specific form of imbalance commonly framed as a three candle displacement that leaves a gap between candles, indicating rapid repricing. Traders use it as a proxy for inefficiency: if price returns, it may partially or fully fill the gap before continuing. The midpoint of the gap is often treated as a particularly relevant reference, but whether price respects it depends on context.
💠 Inverted fair value gap
An inverted fair value gap is the idea that once an imbalance is “broken” in a meaningful way, the zone can flip its behavior. Instead of acting like a supportive zone, it may become resistive (or vice versa) on a later retest. Conceptually, this is similar to role reversal: what once behaved as a continuation aid can become a rejection zone after failure.
💠 Premium, discount, and equilibrium
Premium and discount describe where price sits relative to a defined recent range. Premium is the upper portion of that range and discount is the lower portion. Equilibrium is the midpoint. The concept is mainly used to align trade direction with location: buying is generally more attractive in discount and selling is generally more attractive in premium, assuming you are trading mean reversion within a range or seeking favorable risk placement within a broader trend.
💠 Swing failure pattern
A swing failure pattern is a reversal archetype where price breaks a known swing level, fails to hold beyond it, and returns back through the level. The logic is that the breakout attempt attracted orders and triggered stops, but the market rejected the extension. SFPs are often considered higher quality when the failure is followed by a decisive move away and when it aligns with a broader liquidity narrative.
💠 Higher timeframe context
Higher timeframe context means framing intraday or lower timeframe signals within the structure of a larger timeframe. This can include aligning trades with higher timeframe swings, using higher timeframe candles as reference for open/high/low behavior, and avoiding taking counter trend signals when the larger timeframe is strongly directional. The purpose is to improve signal quality by ensuring the smaller timeframe idea is not fighting a dominant larger flow.
💠 Trend channels
A trend channel is a structured way to visualize a market’s directional “lane” by framing price between two roughly parallel boundaries. The central idea is that trending price action often oscillates in a repeatable corridor: pullbacks tend to stall around one side of the lane, while impulses tend to extend toward the opposite side. Instead of treating trend as a single line, a channel treats trend as an area, which better reflects real market behavior where reactions occur in zones rather than at perfect prices.
A channel typically has three functional references: a guiding line that represents the prevailing slope, an upper boundary that approximates where bullish expansions tend to stretch before mean reversion, and a lower boundary that approximates where bearish pullbacks tend to terminate before continuation. The space between boundaries represents the market’s accepted path. When price stays inside this corridor, the trend is considered healthy. When price repeatedly fails to progress within it, the trend is weakening.
Channels are commonly used for timing and location. In an uptrend channel, pullbacks into the lower portion of the corridor are often treated as higher quality “location” for continuation attempts, while pushes into the upper portion are treated as extension territory where risk of a pause or retracement increases. In a downtrend channel, the logic is mirrored: rallies into the upper portion are often treated as sell side location, and moves into the lower portion are treated as extension territory. The channel does not predict direction by itself; it provides a disciplined map for where continuation is more likely versus where momentum is more likely to cool.
A key concept is acceptance versus deviation. If price briefly pierces a boundary and snaps back inside, that is often interpreted as a deviation, meaning the market tested outside the lane but did not accept it. If price holds outside the corridor and begins to build new swings there, that suggests acceptance and a potential regime change: either a new channel with a different slope, a shift into range, or a broader reversal context. This is why channels are most useful when you treat them as a framework for evaluating behavior, not as rigid support and resistance.
ENIGMA PROENIGMA PRO: Multi-Strategy & Signal Verification System (Smart Signal Panel)
Description: Transform market chaos into clarity. Enigma combines 12 independent and powerful algorithms (based on Trend, Momentum, Volume, Reversal, and Squeeze) running in the background into a single control panel.
Instead of relying on a single indicator, rely on the "Consensus of Strategies". Enigma doesn't just say "BUY"; it shows exactly how many different strategies support this decision simultaneously.
Key Features:
🧩 12 Hidden Algorithms (T1-T12): HMA, Ichimoku, RSI, Volume, EMA, Stochastic, and more are constantly scanning in the background.
🎛 Signal Confirmation Mechanism: You decide the minimum number of strategies required to trigger an alarm. (e.g., "Notify me only if at least 3 strategies signal BUY").
📊 Live Control Panel: Instantly monitor which strategies are active via the dashboard in the top-right corner.
🎯 Precise Filtering: Pinpoint opportunities with Common Volume Threshold (RVol), Date Range, and Day-Based Scanning (e.g., Only Fridays) options.
🛡 Risk Management: Visualize automatic TP (Take Profit) and SL (Stop Loss) levels directly on the chart.
The only tool you need to decode the market cipher.
Turn off the noise, turn on Enigma.
DAX-30 ATRXVersion 1 of DAX-30 ATRX algo.
Revised versions may be available in future.
To be used on the 45 minute timeframe only.
Algorithm is also profitable on the NAS100 - but use with caution.
Optimized Settings:
Higher-TF for trend bias - 4 hours
HTF EMA length - 5
Min HA body size (pts) - 0.5
RSI length - 14
RSI threshold for longs - 40
Fisher length - 11
Volume MA length - 20
Volume spike multiplier - 1.2
ATR length - 14
ATR-mean length - 80
Min ATR / ATR_mean multiplier - 0.8
Max ATR / ATR_mean multiplier - 2.5
SL = ATR x - 0.9
TP = ATR x - 2.1
NY Session ON
Max trades per day - 1
GIX-Treid-2Timeframes: M15 – H1 (and higher)
An advanced SuperTrend, more stable and more intelligent, based on statistical calculations, not market noise.
It calculates a statistical moving average, significantly smoother than EMA or SMA.
It builds an adaptive channel around this average, using fixed pip/tick steps (not a classic ATR).
The trend changes only when price breaks the channel, not on minor fluctuations.
The main line moves in discrete steps, not continuously → no repaint and no whipsawing.
Line color indicates direction:
Green = bullish trend
Red = bearish trend
MA 50 / 100 Crossover Candle OnlyTitle:
MA 50 / 100 Crossover Candle Only — Clean Trend Shift Signals
Short Title:
MA50_100Crossover
Tags:
moving-average, crossover, trend, buy-sell, momentum, trend-following, signal, entry
Short Description:
A clean moving average crossover indicator that highlights BUY and SELL signals only on the crossover candle.
Full Description:
The MA 50 / 100 Crossover Candle Only indicator is a classic trend-following tool designed to detect major market direction changes using the crossover between two widely followed moving averages.
It focuses exclusively on the exact crossover candle, helping traders clearly identify trend shifts without cluttering the chart.
By highlighting only the crossover bar, the indicator provides a precise visual cue for potential entry points while maintaining a clean and readable chart layout.
How It Works
The indicator monitors the relationship between a fast and a slow moving average representing medium- and longer-term market behavior.
A BUY signal is generated when the faster average crosses above the slower average.
A SELL signal is generated when the faster average crosses below the slower average.
Only the candle where the crossover occurs is colored and labeled, ensuring clarity and avoiding repetitive signals.
Key Features
Classic MA crossover logic using fixed medium/long-term periods
BUY and SELL signals displayed only on the crossover candle
Clean candle coloring for immediate visual confirmation
Supports multiple MA calculation types (SMA, EMA, WMA, RMA)
Optional on-chart MA labels for clarity
Built-in alerts for both BUY and SELL signals
Compatible with all markets and timeframes
Non-repainting logic
Use Cases
Identifying medium- to long-term trend reversals
Trend-following entry confirmation
Filtering trades in trending markets
Supporting swing and position trading strategies
Confluence tool with price action or support/resistance analysis
Notes
Signals appear only at confirmed crossovers.
The indicator does not attempt to predict price; it reacts to confirmed trend shifts.
Best results are achieved when combined with proper risk management.
Disclaimer
This script is for educational and analytical purposes only and does not constitute financial advice.
Trading involves risk; always confirm signals before executing trades.
Developer
Developed by Abdulrahman Alotaibi — ATA Scripts
One Candle 5min Retest Strategy🚀 One Candle 5min Retest Strategy (OCRS) – Your Morning on Autopilot
Less drawing, more trading.
Sick of drawing the opening range manually every single morning? Or catching yourself FOMOing into trades before the candle even closes? The OCRS Indicator automates the heavy lifting for the "First Candle" / "One Candle Retest" strategy (Scarface Trades style).
It’s basically a tool to keep you honest and save you time.
🧠 Why use it?
Forced Patience: The range lines stay PURPLE while the first 5 minutes are playing out. That’s your sign to chill and wait. No early entries.
Instant Levels: Once the range closes, the lines snap to BLUE (High) and ORANGE (Low) . You see the levels immediately.
The "Zone" Finder: If price breaks out, the script finds the specific Order Block for you (the last contrary candle before the move) and draws the retest box.
Bullish Breakout? Catches the last red candle.
Bearish Breakout? Catches the last green candle.
No Confusion: Markets are messy. If price fakes a pump and then dumps, the indicator keeps the old zone and draws the new one. You see exactly what's happening.
🛠️ The Good Stuff:
Set and Forget: Auto-syncs to NY Open (09:30 EST). Works on any timeframe.
Clean Charts: Lines only run for 90 minutes. No clutter for the rest of the day.
Day Separator: A simple vertical line marks the next session. Perfect for backtesting —you know exactly when to hit pause before the next open.
No Wicks: Boxes only paint when the candle actually closes outside the range. Zero fakeouts.
Your Style: Turn boxes on/off or change colors to match your vibe.
🎯 How to trade it:
Chill for the first 5 minutes (09:30 - 09:35 NY). Purple lines = hands off.
Watch for the break.
Candle CLOSES above Blue? Wait for the Blue Box .
Candle CLOSES below Orange? Wait for the Orange Box .
The Setup: Wait for price to tap back into the box.
Entry: Find your confirmation inside that zone and take the trade.
Keep your morning simple. Install OCRS and trade with clarity.
Note: This is just a tool to help with the strategy. Risk management is still on you.
Triple MA Candle Alert - FINALTitle:
Triple MA Candle Alert — Trend Shift Buy & Sell Signals
Short Title:
Triple - MA - Alert
Tags:
moving-average, trend, crossover, buy-sell, momentum, market-structure, signal, entry
Short Description:
A triple moving average trend indicator that highlights BUY and SELL signals at confirmed trend shifts.
Full Description:
The Triple MA Candle Alert indicator is a trend-following tool designed to detect clear bullish and bearish market transitions using a three–moving-average alignment system.
It focuses on identifying moments when short-term momentum aligns decisively with the broader trend, signaling potential entry opportunities.
The indicator highlights only the initial candle of a new trend phase, helping traders avoid late entries and excessive chart noise.
How It Works
The script monitors the relationship between three moving averages representing short-, mid-, and longer-term market behavior.
A signal is triggered when these averages align in a consistent directional order, indicating a confirmed trend shift.
BUY signal: when bullish alignment begins
SELL signal: when bearish alignment begins
Only the first candle of the new alignment is highlighted to mark the transition point clearly.
Key Features
Triple moving average trend confirmation
Clear BUY and SELL signals at trend transitions
Candle coloring only on the signal bar (no repainting)
Supports multiple MA calculation types (SMA, EMA, WMA, RMA)
Optional on-chart MA labels for clarity
Built-in alerts for BUY and SELL signals
Compatible with all markets and timeframes
Use Cases
Identifying early trend reversals
Trend-following entry confirmation
Filtering trades in trending markets
Supporting swing and intraday trading strategies
Confluence tool with price action or support/resistance
Notes
Signals are generated only at confirmed trend changes.
The indicator does not repaint.
Best results are achieved when used with proper risk management and higher-timeframe trend analysis.
Disclaimer
This script is for educational and analytical purposes only and does not constitute financial advice.
Trading involves risk; always confirm signals before executing trades.
Developer
Developed by Abdulrahman Alotaibi ..
Adaptive Signal IndicatorAdaptive Signal Indicator
Overview
The Adaptive Signal Indicator is a multi-timeframe confirmation system designed to help traders and investors identify potential entry and exit points. It automatically adjusts its analysis timeframes based on your chart's timeframe, providing consistent signal logic whether you're viewing 15-minute or weekly charts.
How It Works
This indicator combines multiple technical components that must align before generating a signal. However, the signal has a heavier weighting on price action because real investors know that "Only Price Pays." Additionally, rather than relying on a single indicator, it requires confirmation across several dimensions:
Trend Analysis — Evaluates short-term price structure using dual exponential moving averages
Wave Detection — Monitors momentum shifts using smoothed momentum calculations
Flow Tracking — Analyzes volume dynamics to confirm price movements have participation
Pulse Filter — Ensures signals align with the current directional bias of oscillator momentum
Macro Alignment — Checks higher-timeframe trend agreement before triggering signals
Drift Gate — Requires short-term trend confirmation on the daily timeframe
Cross Detection — Identifies key moving average crossovers on the daily timeframe
Range Position — Uses volatility bands to filter signals at extreme price levels
Signal Logic
Buy signals require:
Multiple bullish confirmations across different analysis methods
Macro trend not in bearish alignment
Pulse filter confirming upward momentum
Drift gate showing bullish daily bias
Sell signals require:
Bearish momentum confirmation
Macro trend not in bullish alignment
Pulse filter confirming downward momentum
Dashboard
Two real-time tables display:
Status Panel (Top Right)
Current state of all 8 analysis components
Color-coded for quick visual assessment
Shows conditions count and last signal status with % change since signal
Statistics Panel (Bottom Right)
Total signals generated
Success rate with win/loss breakdown
Average return per signal
Average winning and losing trade percentages
Profit factor
Maximum win and loss percentages
Key Features
✓ Adaptive Timeframes — Automatically selects appropriate analysis timeframes based on your chart
✓ Multiple Confirmations — Reduces false signals by requiring agreement across different analysis methods
✓ Clear Signals — Distinct BUY/SELL markers with no ambiguity
✓ Built-in Statistics — Track historical performance directly on chart
✓ Works on Any Market — Stocks, crypto, forex, indices, commodities
✓ Clean Visual Design — Overlay design keeps your chart readable
Best Practices
Use this indicator as one component of your overall trading plan
Consider your own risk management rules for position sizing and stop losses
Backtest on your preferred markets and timeframes before live trading
Signals work best in trending market conditions (the indicator filters for trend strength)
Who This Is For
Traders who prefer a systematic approach with clearly defined entry conditions. Suitable for swing trading and position trading timeframes. The multi-confirmation requirement means fewer signals, but each signal has passed multiple filters.
Note: Past performance shown in the statistics panel is based on historical data and does not guarantee future results. This indicator provides analysis tools to support your trading decisions—it is not financial advice. Always use proper risk management
KIMATIX Silver Bullet 2.0KIMATIX Silver Bullet 2.0 is a precision-based intraday trading tool built around the most reliable market behaviors during the ICT Silver Bullet windows.
The indicator automatically identifies high-probability price delivery zones by combining time-based session logic, displacement, fair value gaps, and liquidity dynamics — without clutter or subjective interpretation.
What the indicator does
Automatically marks the three core Silver Bullet windows (New York time)
Tracks session highs and lows to define contextual liquidity
Detects displacement moves using adaptive volatility logic
Highlights valid Silver Bullet Fair Value Gaps (FVGs) only when structural conditions are met
Filters weak setups by minimum size, age, and directional confirmation
Projects FVG zones forward to monitor clean retracements
Plots liquidity levels (highs & lows) with optional mitigation handling
All calculations are done fully automatically — no manual drawing, no guessing.
Designed for
Scalper and Intraday traders (especially 1–5 minute charts)
Futures, indices, forex, and crypto
Traders who want clear execution zones, not lagging signals
Anyone using liquidity-based or ICT-style frameworks
Key advantages
No signals, no repainting logic — context first
Strict filtering to reduce noise and over-marking
Clean visual layout focused on price delivery
Works seamlessly alongside higher-timeframe bias and volume tools
This indicator does not tell you when to trade —
it shows you where the market is most likely to react.
Important note
KIMATIX Silver Bullet 2.0 is a context and execution tool, not a standalone strategy.
Best results are achieved when combined with proper risk management and directional bias.
More Infos and Premium Indicators: kimatixtrading.com
