Danny's Quarter Zones - CompleteThis is a very good indicator which can make anybody profitable even me. so that's why im sharing it with you all . it was made specifically for NQ. to use it on ES I would have to mess around and see what works best. as it is it is good for NQ.
المؤشرات والاستراتيجيات
XAUUSD 240m Pivot PointsThis Indicator helps you to automatically find pivot point S1 S2 S3 R1 R2 and R3 for each and every candle that occurs in 4 hr tf
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses.
● Originality and Utility
Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence.
● Methodology
The core mechanism drives a custom Liquidity Engine that performs the following steps:
Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation.
Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data.
Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean.
Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal.
● How to Use
The indicator plots labels on the chart when specific High Stress conditions are met during a trend:
SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point.
BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback.
● Inputs
Trend Filter Length: The period for the EMA used to determine the baseline trend direction.
Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score.
Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
GOLD Dashboard: Realzins + DXY Filter (US10Y/T10YIE)The dashboard isn't a "signal generator," but a macro regime filter. It answers a single, core question:
Which direction do I currently have a structural advantage in gold—long, short, or neither?
I'll explain it to you clearly, practically, and without any theoretical baggage.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]//@version=5
indicator("SMC Ultra-Fast: ALL-IN & Auto-Signal ", overlay=true, max_bars_back=5000)
// ================= Settings =================
group_fast = "Fast Entry Settings"
rr_ratio = input.float(2.0, "Risk:Reward Ratio", group=group_fast)
atr_mult = input.float(1.0, "Tight SL (ATR)", group=group_fast)
line_len = input.int(35, "Line Extension", group=group_fast)
group_vol = "High Volume Accumulation"
vol_look = input.int(100, "Volume Lookback", group=group_vol)
// ================= State Management =================
var float cur_tp = na
var float cur_sl = na
var bool in_trade = false
var line entL = na, var line tpL = na, var line slL = na
var label entLb = na, var label tpLb = na, var label slLb = na
var box res_box = na, var box sup_box = na
var label res_lbl = na, var label sup_lbl = na
// ================= Calculations =================
emaFast = ta.ema(close, 8)
emaSlow = ta.ema(close, 21)
atr = ta.atr(10)
vol_ma = ta.sma(volume, 20)
// --- 1. กล่องแนวรับ-แนวต้าน (High Volume Zones) พร้อมราคา ---
hi_v = ta.highest(high, vol_look)
lo_v = ta.lowest(low, vol_look)
if ta.change(hi_v)
box.delete(res_box), label.delete(res_lbl)
res_box := box.new(bar_index , hi_v, bar_index + 15, hi_v - (atr * 0.3), bgcolor=color.new(color.red, 80), border_color=color.red)
res_lbl := label.new(bar_index + 15, hi_v, "แนวต้าน: " + str.tostring(hi_v, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white, size=size.small)
if ta.change(lo_v)
box.delete(sup_box), label.delete(sup_lbl)
sup_box := box.new(bar_index , lo_v, bar_index + 15, lo_v + (atr * 0.3), bgcolor=color.new(color.green, 80), border_color=color.green)
sup_lbl := label.new(bar_index + 15, lo_v, "แนวรับ: " + str.tostring(lo_v, "#.#####"), color=color.green, style=label.style_label_left, textcolor=color.white, size=size.small)
// --- 2. ระบบสีแท่งเทียนแยกเทรนด์ ---
is_bull = close > emaFast and close > emaSlow
is_bear = close < emaFast and close < emaSlow
barcolor(is_bull ? color.green : is_bear ? color.red : color.orange)
// --- 3. สัญญาณ ALL-IN & Extra Buy/Sell (Fast & Precise) ---
ph = ta.pivothigh(high, 2, 2)
pl = ta.pivotlow(low, 2, 2)
var float last_h = na
var float last_l = na
if not na(ph)
last_h := ph
if not na(pl)
last_l := pl
// จุด ALL-IN: เบรค Pivot + เทรนด์ชัด + โวลุ่มสูง
all_in_buy = ta.crossover(close, last_h) and is_bull and volume > vol_ma * 1.2 and not in_trade
all_in_sell = ta.crossunder(close, last_l) and is_bear and volume > vol_ma * 1.2 and not in_trade
// สัญญาณ Buy/Sell เพิ่มเติม (Fast Signals)
fast_buy = ta.crossover(emaFast, emaSlow) and not all_in_buy
fast_sell = ta.crossunder(emaFast, emaSlow) and not all_in_sell
plotshape(fast_buy, "Fast Buy", shape.triangleup, location.belowbar, color.lime, size=size.tiny, title="Fast Buy Signal")
plotshape(fast_sell, "Fast Sell", shape.triangledown, location.abovebar, color.orange, size=size.tiny, title="Fast Sell Signal")
// ================= 4. การจัดการ TP/SL/Entry (Auto-Reset) =================
if all_in_buy or all_in_sell
line.delete(entL), line.delete(tpL), line.delete(slL)
label.delete(entLb), label.delete(tpLb), label.delete(slLb)
float ep = close
cur_sl := all_in_buy ? (low - (atr * atr_mult)) : (high + (atr * atr_mult))
cur_tp := all_in_buy ? (ep + (math.abs(ep-cur_sl) * rr_ratio)) : (ep - (math.abs(ep-cur_sl) * rr_ratio))
in_trade := true
entL := line.new(bar_index, ep, bar_index + line_len, ep, color=color.gray, style=line.style_dashed, width=2)
tpL := line.new(bar_index, cur_tp, bar_index + line_len, cur_tp, color=color.blue, width=2)
slL := line.new(bar_index, cur_sl, bar_index + line_len, cur_sl, color=color.red, width=2)
entLb := label.new(bar_index + line_len, ep, "ENTRY: " + str.tostring(ep, "#.#####"), color=color.gray, style=label.style_label_left, textcolor=color.white)
tpLb := label.new(bar_index + line_len, cur_tp, "TP: " + str.tostring(cur_tp, "#.#####"), color=color.blue, style=label.style_label_left, textcolor=color.white)
slLb := label.new(bar_index + line_len, cur_sl, "SL: " + str.tostring(cur_sl, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white)
label.new(bar_index, all_in_buy ? low : high, all_in_buy ? "🔥 ALL-IN BUY" : "🔥 ALL-IN SELL", color=all_in_buy ? color.green : color.red, style=all_in_buy ? label.style_label_up : label.style_label_down, textcolor=color.white)
// ระบบล้างสถานะอัตโนมัติเมื่อชนเป้าหมาย
if in_trade
hit = (high >= cur_tp and cur_tp > cur_sl) or (low <= cur_tp and cur_tp < cur_sl) or (low <= cur_sl and cur_tp > cur_sl) or (high >= cur_sl and cur_tp < cur_sl)
if hit
label.new(bar_index, close, "X", color=color.white, style=label.style_label_center, size=size.small)
in_trade := false
Reverse RSI//@version=6
indicator("Reverse RSI", overlay=false)
rsi_length = input.int(14, title="RSI Length", minval=1)
ob_level = input.int(75, title="Overbought Level")
os_level = input.int(25, title="Oversold Level")
invRSI(target, length) =>
target_rs = target / (100 - target)
up = math.max(close-close , 0)
down = math.max(close -close, 0)
prev_avg_up = ta.rma(up, length)
prev_avg_down = ta.rma(down, length)
price_up = target_rs * (prev_avg_down * (length - 1)) - (prev_avg_up * (length - 1)) + close
price_down = (prev_avg_down * (length - 1) - (prev_avg_up * (length - 1)) / target_rs) + close
current_rsi = ta.rsi(close, length)
price = target > current_rsi ? price_up : price_down
price
price_ob = invRSI(ob_level, rsi_length)
price_mid = invRSI(50, rsi_length)
price_os = invRSI(os_level, rsi_length)
upside = (price_ob-close)/close*100
downside = (close-price_os)/close*100
net = upside-downside
plot(upside, title="Upside Line", color=color.green)
plot(downside, title="Downside Line", color=color.red)
plot(net, title="Net Line", color=net>0?color.new(color.green, 30):color.new(color.red, 30), style=plot.style_columns)
hline(0, "Zero Line")
SNIPER Trend Continuation V1TC SNIPER (Trend Continuation)
### When to Use
- Market is **OUT OF BALANCE** (trending, momentum)
- Clear **displacement** away from prior value
- **New York session** (AVOID London open fakeouts!)
- Strong directional moves with follow-through
### The Setup Sequence
```
1. IMPULSE DETECTED
└── Strong directional move (2× ATR+)
└── Multiple momentum bars
└── Price above/below fast EMA
2. LVN ZONE IDENTIFIED
└── 23.6% - 61.8% Fibonacci retracement
└── Low volume pullback area
3. PRICE PULLS BACK TO LVN
└── Retraces into the zone
└── Volume decreases (exhaustion)
4. AGGRESSION CONFIRMATION
└── Entry candle in trend direction
└── Volume spikes (1.3×+ average)
└── Fat body, minimal adverse wick
└── EMA alignment confirms trend
5. ENTRY → TARGET: PREV POC
```
Macro Stress Monitor (USDJPY + JGB + Yield Curve)
# **Note‑Style Description**
This indicator provides a consolidated framework for monitoring two of the most systemically important channels of global USD liquidity transmission: **offshore USD funding conditions in Japan** and **front‑end U.S. rates stress linked to repo and collateral dynamics**. While TradingView does not supply direct access to cross‑currency basis swaps or repo benchmarks, the script employs market‑validated proxies that closely track the same underlying pressures observed in dealer balance‑sheet constraints, FX‑hedged flows, and Treasury funding markets.
### **1. USD/JPY Funding Pressure (Basis‑Swap Proxy)**
The USD/JPY cross‑currency basis is a primary indicator of offshore USD funding premia for Japanese banks, insurers, and real‑money accounts. Basis widening typically reflects elevated USD demand, reduced hedge ratios, and impaired FX swap market liquidity.
To approximate this behavior in real time, the indicator combines:
- **USDJPY spot**, which tends to accelerate higher during USD funding stress, FX swap dislocations, or shifts in BOJ/Fed policy differentials.
- **JP10Y (Japan 10‑year yield)**, which captures JGB‑market stress, duration‑hedging flows, and the impact of FX‑hedged UST carry dynamics on domestic rates.
The joint behavior of these two series provides a high‑signal proxy for USD/JPY basis conditions, particularly around quarter‑end, fiscal year‑end, and BOJ policy events.
### **2. U.S. Front‑End Curve Stress (Repo/Collateral Proxy)**
Stress in the U.S. repo market often manifests first in the front end of the Treasury curve, where funding volatility, collateral scarcity, and dealer balance‑sheet compression drive rapid curve distortions.
The indicator tracks:
- **US02Y – US10Y (2s10s spread)** as a public‑market proxy for repo tightness, GC specialness, and leveraged Treasury basis‑trade unwind risk.
A deeper inversion or accelerated flattening of the 2s10s curve frequently coincides with rising funding premia, increased margin requirements, and deleveraging across rates‑sensitive strategies.
### **3. Stress Diagnostics**
The script highlights three conditions that historically align with elevated cross‑asset fragility:
- **USDJPY > 20‑day SMA** — proxy for USD funding stress / basis widening
- **JP10Y < 20‑day SMA** — proxy for JGB‑market stress or hedging‑related duration flows
- **2s10s < –0.50** — proxy for front‑end funding pressure and repo‑related curve distortions
These are not directional trading signals. They are **liquidity‑risk diagnostics** intended to identify periods when global funding markets become more vulnerable to synchronized deleveraging.
### **4. Intended Use Case**
This tool is designed for macro practitioners, cross‑asset strategists, and risk managers who monitor:
- USD funding premia and cross‑currency basis dynamics
- FX‑hedged UST flows and Japanese institutional positioning
- Treasury basis‑trade leverage and repo‑driven volatility
- BOJ/Fed policy interactions and quarter‑end balance‑sheet effects
- Systemic liquidity conditions across FX, rates, and credit
The indicator provides a real‑time dashboard for identifying early‑stage liquidity stress that may precede broader cross‑asset volatility.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]How to Use the SMC Pro Indicator: ALL-IN & Dynamic S/R is designed to help you trade following the "Smart Money" quickly and accurately. The usage steps are as follows:
1. Reading Entry Signals
🔥 ALL-IN BUY/SELL: This is the most accurate signal, generated by a breakout of a key support level (Pivot) combined with unusually high trading volume (1.5 times higher) and confirmation from the EMA trend.
Fast Buy/Sell (Small Triangle): This is a supplementary signal when the EMA Fast line crosses the EMA Slow line. It's suitable for finding opportunities to "Follow the Trend" or add to positions when the trend strengthens.
2. Managing Targets (TP/SL/Entry)
When the ALL-IN signal appears, the system will immediately draw three lines to the right of the graph:
Gray line (ENTRY): The price point where you should open an order.
Blue line (TP): Profit target. Calculated using a Risk:Reward Ratio of 2.0 (adjustable).
Red line (SL): Stop-loss point calculated from the ATR value for safety.
3. Using Support and Resistance Boxes (Dynamic Zones)
Green box (Support): Zone with strong buying pressure. If the price tests this level and doesn't break below, there's a high chance of a rebound.
Red box (Resistance): Zone with accumulated selling pressure. If the price tests this level and fails to break through, there's a chance of a pullback.
Disappearance of boxes: When the price "breaks through" the bar, these boxes automatically disappear to indicate that the zone has been broken, and the system will immediately start looking for a new, stronger zone.
4. Auto-Reset System (Completion of Trade)
When the price hits the TP or SL line, the system will mark an "X" on the screen.
The old target line will be immediately deleted to clear the position, making the chart look clean and ready for a new ALL-IN signal.
💡 Additional Tip:
Candlestick color: Trade Buy when the candlestick is green, and trade Sell when the candlestick is red.
If the candlestick is orange, it means the market is sideways. It is recommended to wait for a clear ALL-IN signal before entering a trade.
วิธีใช้งานอินดิเคเตอร์ SMC Pro: ALL-IN & Dynamic S/R นี้ออกแบบมาเพื่อให้คุณเทรดตามรอย "เจ้ามือ" (Smart Money) ได้อย่างรวดเร็วและแม่นยำที่สุด โดยมีขั้นตอนการใช้งานดังนี้ครับ:
1. การอ่านสัญญาณจุดเข้า (Entry Signals)
🔥 ALL-IN BUY/SELL: เป็นสัญญาณที่มีความแม่นยำสูงสุด เกิดจากการเบรคเอาท์แนวสำคัญ (Pivot) ร่วมกับมีแรงซื้อขาย (Volume) สูงกว่าปกติ 1.5 เท่า และเทรนด์ของ EMA ยืนยัน
Fast Buy/Sell (สามเหลี่ยมเล็ก): เป็นสัญญาณเสริมเมื่อเส้น EMA Fast ตัดกับ EMA Slow เหมาะสำหรับใช้หาจังหวะ "Follow Trend" หรือเข้าเพิ่มไม้เมื่อเทรนด์เริ่มแข็งแกร่ง
2. การจัดการเป้าหมาย (TP/SL/Entry)
เมื่อสัญญาณ ALL-IN ปรากฏ ระบบจะวาดเส้น 3 เส้นไปทางด้านขวาของกราฟทันที:
เส้นสีเทา (ENTRY): จุดราคาที่คุณควรเปิดออเดอร์
เส้นสีน้ำเงิน (TP): เป้าหมายทำกำไร ซึ่งคำนวณจากค่า Risk:Reward Ratio ที่ 2.0 เท่า (ตั้งค่าได้)
เส้นสีแดง (SL): จุดตัดขาดทุนที่คำนวณจากค่า ATR เพื่อความปลอดภัย
3. การใช้งานกล่องแนวรับ-แนวต้าน (Dynamic Zones)
กล่องสีเขียว (Support): โซนที่มีแรงซื้อหนาแน่น หากราคาลงมาทดสอบแล้วไม่หลุด มีโอกาสเด้งกลับสูง
กล่องสีแดง (Resistance): โซนที่มีแรงขายสะสม หากราคาวิ่งขึ้นไปทดสอบแล้วไม่ผ่าน มีโอกาสย่อตัวลง
การหายไปของกล่อง: เมื่อราคา "ปิดแท่งทะลุ" กล่องเหล่านี้จะหายไปโดยอัตโนมัติ เพื่อบอกว่าโซนนั้นถูกทำลายแล้ว และระบบจะเริ่มหาโซนใหม่ที่แข็งแกร่งกว่าให้ทันที
4. ระบบ Auto-Reset (จบงาน)
เมื่อราคาเคลื่อนที่ไปชนเส้น TP หรือ SL ระบบจะทำเครื่องหมาย "X" บนหน้าจอ
เส้นเป้าหมายเก่าจะถูกลบออกทันที เพื่อล้างสถานะให้กราฟดูสะอาดและพร้อมสำหรับสัญญาณ ALL-IN รอบใหม่ครับ
💡 เคล็ดลับเพิ่มเติม:
สีแท่งเทียน: เทรดหน้า Buy เมื่อแท่งเทียนสีเขียว และเทรดหน้า Sell เมื่อแท่งเทียนสีแดง
หากแท่งเทียนเป็น สีส้ม หมายถึงตลาดกำลังเลือกทาง (Sideway) แนะนำให้รอสัญญาณ ALL-IN ที่ชัดเจนก่อนเข้าเทรดครับ
Buy / Sell Volume HeaderBuy / Sell Volume Header
Description
- Buy / Sell Volume Header displays real-time buying and selling volume with percentages in a clean dashboard at the top or bottom of your chart. The indicator calculates buying pressure as volume weighted toward the close relative to the bar's range, and selling pressure as volume weighted toward the high.
- Perfect for day traders and scalpers who need instant visual confirmation of buying vs selling pressure without cluttering their chart with additional panes.
Key Features:
- Real-time buy/sell volume split with percentages
- Customizable lookback period (1 bar for current, or sum multiple bars)
- Adjustable table position (top/bottom, left/center/right)
- Five size options (Tiny to Huge)
- Color-coded: Green (buying volume), Red (selling volume)
- Clean, minimal design that doesn't obstruct price action
Calculation Method:
- Buying Volume = Total Volume × (Close - Low) / (High - Low)
- Selling Volume = Total Volume × (High - Close) / (High - Low)
How to Use:
- Select header location (default: Top Right) and table size (default: Normal). Set lookback period to 1 for current bar only, or higher values to see cumulative volume over multiple bars.
Reading the Display:
- Green Box (Left): Buying volume and percentage of total
- Red Box (Right): Selling volume and percentage of total
- Numbers update in real-time on every tick
Trading Applications:
- Trend Confirmation:
- In uptrends, buying volume should consistently be >60%.
- In downtrends, selling volume should be >60%. Divergences warn of potential reversals.
Breakout Validation:
- Valid breakouts show 70%+ volume in breakout direction.
- Breakouts with <55% directional volume often fail.
Reversal Signals:
- When price makes new high but buying volume drops below 50%, watch for reversal. When price makes new low but selling volume drops below 50%, watch for bounce.
Scalping Entry:
- Enter long when buying volume spikes above 65-70% with price momentum. Enter short when selling volume spikes above 65-70% with price momentum.
Best Practices:
- Use lookback=1 for intraday scalping. Use lookback=3-5 for swing context. Combine with price action for confirmation. Volume percentages work best on liquid instruments (MNQ, MES, stocks with high volume).
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Volume vs Range Imbalance DetectorDescription :-
Concept :-
This indicator is designed to identify "Effort vs. Result" anomalies in the market using Volume Spread Analysis (VSA) concepts. It highlights specific candles where high trading activity (Volume) is occurring, but the price movement (Range) is restricted. This behavior often signals the presence of heavy absorption by buyers or sellers ("Smart Money" activity) before a potential reversal or continuation.
How It Works :-
The script combines two distinct methods of volume analysis into a single view
1. Structural Imbalance (Lime & Red Signals)
This logic detects major market anomalies by comparing the current candle against a 50-period average context.
The Logic: A signal is generated if the Volume is significantly higher than the average (default 1.618x the 50 SMA) AND the Price Range is significantly smaller than the average (default 1.272x the 50 ATR).
Lime Candle/Dot (Bullish Absorption): Massive volume with small range, closing in the upper 50% of the bar. This suggests sellers are dumping, but buyers are absorbing all orders, preventing the price from dropping.
Red Candle/Dot (Bearish Blockade): Massive volume with small range, closing in the lower 50% of the bar. This suggests buyers are pushing, but sellers are absorbing the demand, preventing the price from rising.
2. Hidden Activity (Orange Signals)
This logic is more sensitive and compares the current candle only to the previous candle.
The Logic: A signal is generated if the current Volume is higher than the previous bar's volume, but the current Range is smaller than the previous bar's range.
Orange Candle/Dot: This indicates "Churn." Effort is increasing, but the result (movement) is decreasing. It is often an early warning sign of congestion or a pending breakout.
Visual Guide
Lime Dot (Below Bar): Strong Buying Pressure (Bullish Imbalance).
Red Dot (Above Bar): Strong Selling Pressure (Bearish Imbalance).
Orange Dot (Above Bar): Hidden Activity / Churn (Warning).
Settings
Context Length: The lookback period for the moving averages (Default: 50).
Volume/Range Multipliers: Determine how strict the "Imbalance" signals are. Higher numbers result in fewer, more significant signals.
Show Hidden Activity: Toggle the orange signals on or off.
Disclaimer
This tool is for educational purposes only. Volume analysis is subjective and should be used in conjunction with other form
Volatility RadarThis script will display a status overview of volatility as measured by VIX. It requires real-time OPRA data for full functionality.
Estrategia Timing SMA 10 de Faber Introduction This strategy is based on the classic trend-following logic popularized by Meb Faber in his white papers (such as "A Quantitative Approach to Tactical Asset Allocation") and frequently discussed by financial analyst José Luis Cárpatos. The core philosophy is simple but effective: stay in the market during uptrends to capture growth, and move to cash during downtrends to protect capital from major drawdowns.
This is a long-term "Timing" strategy designed for investors who want to filter out market noise and focus on the primary macro trend.
How it Works The strategy utilizes a specific Moving Average on a Monthly timeframe to determine the trend direction.
The Indicator: A 10-period Simple Moving Average (SMA) calculated on the Monthly timeframe (1M).
Long Condition: When the Monthly Close price is above the 10-Month SMA, the strategy enters a Long position (Risk On).
Exit Condition (Cash): When the Monthly Close price falls below the 10-Month SMA, the strategy closes the position and stays in Cash (Risk Off). It does not open short positions; it simply exits the market to preserve capital.
Key Features (Multi-Timeframe) This script has been coded using request.security to force the calculation on Monthly data (1M), regardless of the chart timeframe you are currently viewing.
This allows you to view the strategy on a Daily or Weekly chart while ensuring the mathematical logic remains strictly bound to the Monthly moving average.
The SMA line will appear "stepped" on lower timeframes (e.g., Daily), representing the constant value of the SMA for that specific month.
Settings
Length: Default is 10 (representing 10 Months), but this can be adjusted if you wish to test other periods (e.g., 12 months).
Source: Defaults to close.
Visuals
Blue Line: Represents the 10-Month SMA.
Background Color:
Green: Indicates the strategy is currently Long (Price > SMA).
Red/Grey: Indicates the strategy is in Cash (Price < SMA).
Important Note on Backtesting & Repainting Because this strategy requests Monthly data on lower timeframes (like Daily), please be aware that the current month's data is dynamic. The signal is technically confirmed only at the close of the monthly bar. When viewing on a Daily chart, the script evaluates the relationship between the current price and the current monthly SMA.
Disclaimer This script is for educational and research purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Liquidity Sweep Pro [Whale Edition]Liquidity Sweep Pro is a next-generation trading tool that bridges the gap between Smart Money Concepts (SMC) and Quantitative Volume Analysis.
Traditional "Liquidity Sweep" indicators often generate false signals by marking every wick crossover as a trade setup. This indicator solves that problem by filtering setups through a Quant VSA Engine. It asks not just "Did price sweep a level?" but "Was there institutional money behind this move?"
🔬 How It Works
The indicator operates on three synchronized layers:
1. Market Structure (Liquidity Pools) It automatically identifies key pivot points where retail Stop Losses are likely clustered:
Buy Side Liquidity (BSL): Areas above swing highs.
Sell Side Liquidity (SSL): Areas below swing lows.
2. The Quant Engine (Whale Detection) Instead of using simple volume averages, we apply statistical modeling to detect anomalies:
Log-Normal Z-Score: Normalizes volume data to detect statistically significant outliers (Sigma > 2.5). This adapts to market volatility, filtering out noise.
Kaufman Efficiency Ratio (KER): Analyzes the quality of price movement to classify the "Whale" type:
❄️ Absorption (Iceberg): High Volume + Low Price Movement. Signals a potential reversal.
🚀 Propulsion (Drive): High Volume + High Price Efficiency. Signals an aggressive breakout.
3. The Trigger (Smart Entry) A trade signal is generated ONLY when:
Price sweeps a liquidity level (wicking below/above).
Price closes back within the range.
Institutional Activity is confirmed (High Z-Score Volume).
Trend (EMA 200) and Momentum (RSI) filters are aligned.
🛡️ Features
Intrabar Analysis: Uses request.security_lower_tf to analyze the internal volume delta of the candle for maximum precision.
Automated Risk Management: Plots Entry, Take Profit, and Stop Loss levels directly on the chart based on ATR (Average True Range) and your preferred Risk:Reward ratio.
Unified Alerts: Includes a single "ANY SWEEP" alert condition, allowing you to monitor both Long and Short setups with just one TradingView alert.
Visual Classification: Candles with institutional activity are marked with a 🐋 symbol, even if no sweep occurs, helping you read the narrative.
⚙️ Best Settings & Usage
Timeframes: Works best on 15m, 1h, and 4h charts.
LTF Interval (Input): This is crucial.
If trading on the 1h chart, set LTF to 1 minute.
If trading on the 4h chart, set LTF to 5 minutes.
Whale Threshold: Default is 2.5 Sigma. Increase to 3.0 for fewer, higher-confidence signals, or decrease to 2.0 for more frequency.
⚠️ Disclaimer
This tool is for educational purposes only. It identifies statistical probabilities, not certainties. Always manage your risk and do not rely solely on one indicator.
Options Liquidity Meter (OLM)❓ The question behind this indicator
When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated.
This typically happens when one or more of the following conditions is missing:
Insufficient liquidity participation
Lack of volatility expansion
Weak or passive order flow
Options Liquidity Meter (OLM) was created to address this specific question:
“If price moves from here, are there conditions for option premiums to actually expand?”
🎯 What this indicator does
Options Liquidity Meter is a context tool, not a trading system.
It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines:
Liquidity (Relative Volume)
Measures whether price movement is supported by meaningful participation.
Volatility State
Identifies compression, release, and expansion phases, where options tend to respond differently.
Order Flow Activity (OBV-based)
Acts as a proxy for active vs. passive participation, helping filter hollow moves.
These components are combined into a single, easy-to-read options context.
🟢🟡🔴 Options Context Output
The indicator displays one consolidated state:
RED — NO EXPANSION
Price may move, but option premiums often do not respond.
YELLOW — BUILDING
Liquidity or volatility is developing. Conditions are improving but not fully aligned.
GREEN — EXPANSION LIKELY
Liquidity, volatility expansion, and active flow are aligned.
This is a favorable environment for option premium expansion.
The same logic is reflected visually through the background color and summarized in the dashboard.
📊 How to read the dashboard
The dashboard shows:
Liquidity: LOW / OK / HIGH
Volatility: COMPRESSED / RELEASED / EXPANDING
Order Flow: FLAT / ACTIVE
Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY
Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational.
📍 Where to apply this indicator
Options Liquidity Meter must be applied to the underlying asset chart, such as:
Indices (SPY, SPX, QQQ, etc.)
Stocks
Futures
ETFs
It is not designed to be applied to option contracts themselves.
The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior.
Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility.
🧠 How to use it
Use your own methodology to define:
Direction
Structure
Entries and exits
Use Options Liquidity Meter to evaluate:
Whether the current environment supports option premium expansion
If the context is RED, be cautious — price may move without rewarding options.
If the context is GREEN, the environment is statistically more favorable for options responsiveness.
🔗 Complementary tools
Options Liquidity Meter is designed to complement, not replace, other tools.
It works well alongside:
Opening Path Selector (EMA200 Context Tool)
For deciding which asset offers the cleanest directional context.
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels
For in-chart structure, bias, and reference levels.
Each tool addresses a different stage of the decision process and can be used independently.
⚠️ Important notes
This indicator provides context only
It does not generate trading signals
No indicator guarantees results
Use at your own risk.
Vegas Double ChannelThe indicator utilizes the 144 and 169 channels as the minor level, and the 576 and 676 channels as the major level. The EMA12 serves as a filter.
Translation for the complete definition of the “Vegas Double Channel” indicator:
The “Vegas Double Channel” indicator is designed to analyze market trends and identify potential trading opportunities. It employs the following parameters:
Minor Level: The indicator considers the 144 and 169 channels as the minor level, which are used to identify short-term market movements.
Major Level: The 576 and 676 channels are classified as the major level, indicating longer-term market trends.
Filter: The EMA12 (Exponential Moving Average with a period of 12) acts as a filter to smooth out short-term noise and provide a clearer picture of the overall market trend.
Market Sessions V2🔄 MAJOR UPDATE v2.0
✨ NEW FEATURES:
- Live Info Panel with session status, timer, range & change%
- Average range statistics (based on history period)
- Weekend mode highlighting (Fri US Close → Mon Asia Open)
- Pre-market & Post-market tracking for US session (table only)
- Auto/Manual session times with validation
🔧 IMPROVEMENTS:
- Accurate official exchange hours (TSE 09:00-15:30, LSE 08:00-16:30, NYSE 09:30-16:00, ASX 10:00-16:00)
- Automatic DST handling via native timezones
- Tokyo Lunch Break indicator (11:30-12:30 JST)
- Works on all timeframes with smart adaptation (boxes ≤4H, table always)
- Bar Replay compatible
🛡️ RELIABILITY:
- Input validation for manual time entries
- Graceful handling of higher timeframes
- Optimized memory management
📖 For Forex/Crypto traders: Sessions show continuous trading hours.
Tokyo lunch (11:30-12:30 JST) is indicated in table only.
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities.
Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features:
Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands
🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum).
🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal).
Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones
Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones
Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history)
Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination
Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles
Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Institutional Bias [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요
* 블로거 'SOXL연구원님의 SCR을 지표화했습니다.
(지표설명)
1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다.
2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다.
3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다.
(시그널)
세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시
Overview
SCR is a combined signal system built from Stochastic, CCI, and RSI.
For convenience, I call this indicator SCR.
This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원).
Indicator Settings
Stochastic
Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3
Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20
All values can be changed in the settings.
CCI
Default length: 20
Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100
All values can be changed in the settings.
RSI
Default length: 14
Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30
All values can be changed in the settings.
Signals (Plotted on the Main Price Chart)
Signals are generated when the indicators trigger their conditions on the same bar (simultaneously).
Overbought Resolution Signals (S) — plotted above candles
S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar
S2: Exactly 2 indicators resolve overbought on the same bar
S3: All 3 indicators resolve overbought on the same bar
Oversold Entry Signals (B) — plotted below candles
B1: Exactly 1 of the three indicators enters oversold on the same bar
B2: Exactly 2 indicators enter oversold on the same bar
B3: All 3 indicators enter oversold on the same bar
London Session + EMA 200 + UT BotCombined trading indicator featuring three powerful tools:🔵 London Session Box - Highlights the London trading session (0700-1600) with a customizable colored box to identify high-volume trading periods📈 EMA 200 - Exponential Moving Average for trend identification and dynamic support/resistance levels🎯 UT Bot - ATR-based trailing stop indicator with buy/sell signals and bar coloring for trend following
Multi-Indicator DashboardMulti-timeframe trading dashboard overlay on your chart. Analyzes Trend, Momentum, Swing, Strength, Direction, Volatility, and delivers a final VIEW (Bullish/Bearish/Flat) across 5 key timeframes. Perfect for quick multi-TF alignment checks! W → D → 2H → 1H → 15M
Features
Color-Coded Cells: Green (Bullish), Red (Bearish), Gray (Neutral).
Historical Mode: Toggle "Enable Historical View" → Slider picks N bars back (chart TF-aware: e.g., 10 bars = 2.5H on 15M).
Yellow vertical line + date label marks the exact bar
Quick Setup
Add to chart → Customize inputs.
Historical: Enable + slide "Bars Back" for past data snapshots.
Views Update Live: Real-time on current/historical bars.






















