SMA Vertical OffsetThis Indicator allow you to adjust the SMA offset vertically instead of horizontally
אינדיקטורים ואסטרטגיות
Bullish_Mayank_entry_Indicator with AlertsTHisis abullish indicator using EMA , RSI & Weighte mean average of RSI
Bullish_Mayank_entry_Indicator with AlertsIt is a indicator that uses EMAs , RSI and Weighted Mean Average RSI and multitimeframe analysis
Adaptive RSIFor traders who want more control, the indicator allows customization of RSI length, smoothing type, and Bollinger Band settings, making it adaptable to day trading, swing trading, and even long-term investing.
In short, this is more than just an RSI — it’s a complete momentum toolkit that combines clarity, flexibility, and advanced signal detection in one clean package.
MTF QFG (Quarter Fib Grid)The MTF QFG (Quarter Fib Grid) calculates quarter Fibonacci levels based on the previous daily, weekly, or monthly high/low. These levels act as potential support and resistance zones. Suitable for scalping, swing trading, or identifying key price reactions.
Edge Algo📈 Indicator Features:
• Provides accurate trades with up to 90% success rate
• Works on all currencies, stocks, crypto, and even futures
• Compatible with all timeframes: 1m / 5m / 15m / 30m / 1h / 1d
• Built on an AI system that detects stop-hunt zones to avoid stop-loss hits
• Gives you entry points, stop-loss (SL), and take-profit (TP) levels
Multi Straddle-Strangle ChartThis powerful indicator is designed for options traders who want to visualize and track the combined premium of multiple straddle and strangle strategies in a single, dedicated pane.
Quickly analyze and compare up to five different options strategies at a glance, directly on your chart. This tool is perfect for monitoring volatility, tracking potential profits/losses on a position, and spotting key support and resistance levels based on option premiums.
Key Features:
Plot Up to 5 Strategies: Simultaneously plot any combination of up to 5 straddles or strangles.
Real-Time Data: Fetches live data for both Call and Put options to give you an up-to-the-second view of the combined price.
Dynamic Symbol Generation: Automatically detects the underlying symbol (e.g., NIFTY, BANKNIFTY, stocks) and builds the correct option symbols based on your input.
Customizable Inputs: Easily configure the expiry date, strike prices and line colors for each of the 5 lines.
In-Chart Summary Table: A clean and clear table in the corner of your chart provides a quick summary of each enabled strategy and its current price.
Important Note on Usage:
This tool requires you to input a strike price in all fields, even if you do not plan to use all five lines. This is necessary because of a fundamental rule in the Pine Script language: every input must have a constant, non-empty default value. The indicator is optimized to only fetch data for the lines you have explicitly enabled with the "Enable Line X" checkbox.
Swing RSI Panel//@version=6
indicator("Swing RSI Panel", overlay=false)
// RSI Settings
rsiLength = input.int(14, "RSI Length")
rsiOversold = input.int(40, "RSI Oversold")
rsiOverbought = input.int(60, "RSI Overbought")
// Calculate RSI
rsiValue = ta.rsi(close, rsiLength)
// Plot RSI
plot(rsiValue, "RSI", color=color.purple, linewidth=2)
hline(50, "Midline", color=color.gray, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold", color=color.green, linestyle=hline.style_dotted)
hline(rsiOverbought, "Overbought", color=color.red, linestyle=hline.style_dotted)
// Fill zones
bgcolor(rsiValue >= rsiOverbought ? color.new(color.red, 90) :
rsiValue <= rsiOversold ? color.new(color.green, 90) : na, title="RSI Zones")
SCTR - AbsoluteIndicator for showing Absolute Value of SCTR - StockCharts Technical Rank.
Uses the calculations from Stock Charts based on the following:
Long-Term Indicators (weighting)
--------------------------------
* Percent above/below 200-day EMA (30%)
* 125-Day Rate-of-Change (30%)
Medium-Term Indicators (weighting)
----------------------------------
* Percent above/below 50-day EMA (15%)
* 20-day Rate-of-Change (15%)
Short-Term Indicators (weighting)
---------------------------------
* 3-day slope of PPO(12,26,9) Histogram/3 (5%)
* 14-day RSI (5%)
DH EMA 21/55/200 Ribbon (Scaled HTF)ema 21 / 55 /200 cập nhật thêm multiTF, chỉnh sửa màu sắc dải mây
Volatility Momentum Score | Lyro RSVolatility Momentum Score | Lyro RS
Overview
The Volatility Momentum Score (VMS) combines price movement and volatility into a single, easy-to-read signal. Using z-scores, standard deviation bands, and flexible display modes, it helps traders identify trends, overbought/oversold conditions, and potential reversals quickly and effectively.
Key Features
Price + Volatility Blend
Tracks price action and volatility with separate z-scores and merges them into a unified momentum score.
Standard Deviation Bands
Upper and lower bands highlight extreme readings.
Adjustable multipliers allow for fine-tuning sensitivity.
Two Signal Modes
Trend Mode: Plots “Long” and “Short” signals when momentum crosses bands.
Reversion Mode: Colors the chart background when the score indicates stretched conditions.
Overbought & Oversold Alerts
▲ markers indicate oversold conditions.
▼ markers indicate overbought conditions.
Custom Colors
Four preset color themes or fully customizable bullish/bearish colors.
Clear Visuals
Dynamic line coloring based on momentum.
Candles recolored at signal points.
Background shading for quick visual assessment.
How It Works
Calculates z-scores for both price and volatility.
Blends the z-scores into a single average score.
Compares the score against dynamic upper and lower bands.
Triggers signals, markers, or background shading depending on the chosen display mode.
Practical Use
Ride trends: Follow Trend Mode signals to align with momentum.
Spot reversals: Watch ▲ and ▼ markers when markets are overextended.
Stay aware: Background shading highlights potentially overheated conditions.
Customization
Set lookback lengths for price, volatility, and bands.
Adjust band multipliers for more or less sensitive signals.
Choose between Trend or Reversion mode based on trading style.
Select color themes or create custom palettes.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other methods and proper risk management. The creators are not responsible for any financial decisions based on its signals.
Shashwat Khurana's Pivot + Mean Reversion + RSI (Signals Only)Show BUY labels below bars when a bullish reversal is detected.
Show SELL labels above bars when a bearish reversal is detected.
Uses pivot levels, mean reversion, big candle, RSI, and volume filters.
First H4 Window Box with PanelThis indicator will explain in detail about the characterstics of first hour open in Gold
VCP-Minervini v2This indicator is based on the famous Volatility Contraction Pattern (VCP) developed by Mark Minervini. It is designed to detect breakout setups in stocks and indices and provides a complete framework for identifying and managing them.
VCP Detection: Uses ATR to measure contracting volatility and highlights potential setups with yellow markers.
Pivot Level: Once a VCP is detected, the script automatically fixes a pivot resistance level and plots it as a red line.
Breakout Signal: When price closes above the pivot and remains above the EMA, a green marker confirms that a breakout is active.
Exit Logic: If momentum fades (volume drops below average and True Range contracts), the green marker disappears, signaling it may be time to secure profits or adjust stops.
EMA Filter: Ensures that setups are only valid in the direction of the prevailing trend by requiring price to trade above the selected EMA.
How to use it
This tool is best suited for swing traders and position traders looking for clean breakout opportunities. It is not a simple mashup of indicators but an original combination specifically built for VCP setups.
Use primarily on daily or weekly charts of liquid stocks.
Build a watchlist from yellow markers (potential setups).
Watch for price closing above the pivot line to confirm the breakout.
Manage trades while the green marker is active, and take caution when it disappears.
Adjust the parameters to fine-tune detection sensitivity for your market or trading style.
Pivot + Mean Reversion + RSI (Signals Only) by Shashwat KhuranaShow BUY labels below bars when a bullish reversal is detected.
Show SELL labels above bars when a bearish reversal is detected.
Uses pivot levels, mean reversion, big candle, RSI, and volume filters.
Open Interest Aggregated (Lite)The Open Interest Aggregated (Lite) indicator consolidates open interest data across multiple major cryptocurrency exchanges into a single, easy-to-interpret visual. By aggregating open interest from Binance, Bybit, OKX, Bitget, and Coinbase (configurable per user preference), this indicator provides a holistic view of market positioning and trader sentiment in real time. It is designed for overlay-independent analysis, giving traders insight into derivatives market dynamics without cluttering price charts.
Key Features and Technical Details:
Aggregates open interest for USD, USDT, and USDC denominated perpetual contracts where available.
Supports configurable exchange inclusion: Binance, Bybit, OKX, Bitget, and Coinbase.
Normalizes USD-denominated open interest relative to the asset price for cross-exchange comparison.
Generates candlestick plots representing aggregated open interest: open, high, low, and close, allowing traditional technical analysis techniques (trend detection, breakouts, reversals) to be applied to derivatives positioning.
Provides optional hidden plots for each aggregated value (open, high, low, close) to support custom scripting or further analysis in Pine Script.
Color-coded candles: teal indicates an increase in open interest for the period, red indicates a decrease, highlighting shifts in trader sentiment.
Use Cases in Trading:
Trend Confirmation: Rising aggregated open interest in tandem with price increases can confirm bullish market participation, while decreasing open interest may signal weakening conviction.
Divergence Detection: Compare price action against aggregated open interest to detect potential reversals or exhaustion points.
Cross-Exchange Market Insight: By combining multiple exchanges, traders can identify shifts in global derivatives exposure rather than relying on a single market, reducing bias from localized trading anomalies.
Risk Assessment: Monitoring aggregated open interest can help anticipate periods of heightened leverage, which may correspond to increased volatility and potential liquidation events.
Why It’s Useful:
Open interest is a leading indicator of market sentiment and participation in futures markets. However, individual exchange data often provides an incomplete picture. Open Interest Aggregated (Lite) simplifies this by consolidating data across major platforms, enabling traders to make more informed decisions, assess market strength, and identify strategic entry or exit points with a clearer understanding of global positioning.
Application Notes:
Best used in combination with price analysis and volume metrics for robust trading signals.
Timeframe-independent: works on any chart interval, ensuring flexibility across intraday and longer-term strategies.
Lightweight “Lite” version ensures fast calculation while maintaining critical insights from multiple exchanges.
ALMA HẰNG DIỄM//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
EMA Order IndicatorPaints background as per the EMA order.
White when there is no order / mixed.
Red when bearish order
Green when bullish order
ALMA HẰNG DIỄM @//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
Fractal Model (TTrades)Fractal Model - Higher Timeframe Analysis with TTFM Labeling
A higher timeframe candle visualization tool enhanced with TTFM (The Fractal Model) labeling system for pivot-based price action analysis, made popular by Youtuber TTrades
What This Script Does:
This indicator displays higher timeframe candles on your current chart and identifies key pivot formations using the TTFM labeling system. It helps traders understand market structure and potential reversal points through systematic pivot analysis.
Key Features:
Higher Timeframe Visualization : Shows HTF candles without switching timeframes
TTFM Labeling System : Identifies pivot components with C2, C3, and C4 labels
T-Spot Detection : Marks areas where price is likely to form wicks based on pivot logic
Sweep Confirmation : Detects when price sweeps previous levels but closes opposite
Fair Value Gap Detection : Identifies imbalance zones between candle ranges
Alert System : Sends alerts when T-spot formations are confirmed using pivot logic
Silver T-Spot Alerts : Special alerts during specific market hours
How TTFM Labeling Works:
The TTFM system labels pivot formations based on their structure:
C2 : The candle that "sticks out" - the initial move that creates the pivot
C3 / C4 : The distribution candle that continues the reversal (standard pivots)
Alert System:
The indicator provides alerts when:
T-spot formations are created and confirmed
Price sweeps tspot levels with proper confirmation (This signal tries to alert you when a potential wick has formed in the tspot location
Silver T-spot patterns occur during specific market hours
T-spot sweep confirmations are triggered
Practical Usage:
Add the indicator to your chart
Watch for T-spot formations (highlighted zones)
Look for C2, C3, C4 labels to understand pivot structure
Use sweep confirmations for entry timing
Set up alerts for T-spot confirmations and sweeps
Technical Implementation:
Logarithmic Midpoint Calculation:
The T-spot levels are calculated using logarithmic midpoint analysis:
Log Values : log_high = ln(high), log_low = ln(low), log_open = ln(open), log_close = ln(close)
Wick Analysis : upper_wick = log_high - max(log_open, log_close), lower_wick = min(log_open, log_close) - log_low
Body Size : body_size = |log_close - log_open|
Midpoint Logic : If max(upper_wick, lower_wick) > body_size, use wick-based midpoint; otherwise use (log_high + log_low)/2
Final Level : T-spot level = exp(log_mid_level)
T-Spot Formation Conditions:
Standard Bearish : last_closed.h > prev_closed.h AND last_closed.c < prev_closed.h
Standard Bullish : last_closed.l < prev_closed.l AND last_closed.c > prev_closed.l
Expansive Bearish : prev_closed.h > prev_prev_closed.h AND last_closed.c < max(prev_closed.o, prev_closed.c)
Expansive Bullish : prev_closed.l < prev_prev_closed.l AND last_closed.c > min(prev_closed.o, prev_closed.c)
Pro-trend Bearish : last_closed.h > mid_level AND last_closed.h < prev_closed.o AND last_closed.c < prev_closed.l
Pro-trend Bullish : last_closed.l < mid_level AND last_closed.l > prev_closed.o AND last_closed.c > prev_closed.h
Sweep Confirmation Logic:
Pivot Detection : Uses ta.pivothigh(high, 1, 2) and ta.pivotlow(low, 1, 2)
Touch Detection : Price must touch T-spot level (high > level OR open > level) AND close opposite
Confirmation Requirements : Pivot must form before touch, close must break beyond pivot level
Alert Trigger : Sweep confirmed when all conditions are met
Silver T-Spot Conditions:
Special T-spots during specific market hours (4th-5th candle of day or 4th candle after 1PM ET) with additional confirmation requirements.
HTF Auto-Detection:
Automatically selects appropriate higher timeframes: 1m→15m, 3m→30m, 5m→1h, 15m→4h, 30m-1h→1D, 4h-8h→1W, 1D→1M.
Based on HTF Candles by Fadi, enhanced with T-spot detection, sweep logic, TTFM labeling system, and comprehensive alert functionality.
Note: This tool is for educational purposes and should be used in conjunction with proper risk management and market analysis.
Pre‑Market Cumulative VolumeDescription:
This indicator plots the cumulative trading volume for the pre‑market session on intraday charts. It automatically detects when a bar is part of the extended pre‑market period using TradingView’s built‑in session variables, starts a new running total at the first pre‑market bar of each day, and resets at the beginning of regular trading hours. During regular market hours or the post‑market session, the indicator does not display values.
To use this script effectively, ensure extended‑hour data is enabled on the chart, and select an intraday timeframe where pre‑market data is available. The result is a simple yet powerful tool for monitoring cumulative pre‑market activity.
How to use
Add the script to a chart and make sure you are on an intraday timeframe (e.g., 1‑min, 5‑min). Extended‑hour data must be enabled; otherwise session.ispremarket will always be false.
During each pre‑market session, the indicator will reset at the first pre‑market bar and then accumulate the volume of subsequent pre‑market bars.
Outside the pre‑market (regular trading hours and post‑market), the plot outputs na, so it does not draw on those bars.
Customization (optional)
If you want to define your own pre‑market times instead of relying on TradingView’s built‑in session, you can replace the isPreMarket line with a time‑range check. For example, isPreMarket = not na(time(timeframe.period, "0400-0930")) detects bars between 04:00 and 09:30 (U.S. Eastern time). You can parameterize the session string with input.session("0400-0930", "Pre‑Market Session") to let users adjust it.