S&R Detector by Rakesh SharmaSupport & Resistance Auto-Detector
Automatically identifies key Support and Resistance levels with strength ratings
✨ Key Features:
🎯 Intelligent S/R Detection
Automatically finds Support and Resistance levels based on swing highs/lows
Shows strength rating (Very Strong, Strong, Medium, Weak)
Displays number of touches at each level
📅 Key Time-Based Levels
Previous Day High/Low (PDH/PDL) - Blue lines
Previous Week High/Low (PWH/PWL) - Purple lines
Optional Round Numbers for psychological levels
⚙️ Fully Customizable
Adjust sensitivity (5-20 pivot length)
Filter by minimum touches (1-10)
Control maximum levels displayed (3-20)
Optional S/R zones (shaded areas)
📊 Live Dashboard
Shows nearest Support/Resistance
Distance to key levels
Total S/R levels detected
🔔 Smart Alerts
PDH/PDL breakout signals
Visual markers on chart
Perfect for: Intraday traders, Swing traders, Price action analysis
Indikatoren und Strategien
Ahmed Gold Signals - 5M LIVE (Frequent)📈 Gold (XAUUSD) Trading Signals – Precision-Based Strategy
Our Gold signals are built on pure price action, not random indicators or guesswork.
🔍 How our signals are generated
We focus on:
🧲 Liquidity Sweeps
Identifying when price grabs stop-losses above highs or below lows and then reverses
📊 Clear trend direction using EMA 50 & EMA 200
✅ Strong confirmation candles after the sweep
🎯 Entries only in the direction of the trend to increase accuracy
🔵 BUY Signals
Bullish market structure
Price sweeps liquidity below recent lows
Strong bullish confirmation candle closes
➡️ High-probability BUY setup
🔴 SELL Signals
Bearish market structure
Price sweeps liquidity above recent highs
Strong bearish confirmation candle closes
➡️ High-probability SELL setup
⏱️ Timeframe
5-minute chart (5M)
Fast, precise signals ideal for scalping Gold
🛡️ Risk Management
Stop loss placed beyond the liquidity sweep
Clear take-profit targets
Risk-to-reward typically 1:2 or better
⚠️ Important Notes
We do not trade every move
We wait for confirmation
Quality over quantity — always
Realtime Position CalculatorRisk management is the single most important factor in trading success. This indicator automates the process of position sizing in real-time based on your account risk and a dynamic technical Stop Loss. It eliminates the need for manual calculations and helps you execute trades faster while adhering to strict risk management rules.
How it Works
The indicator visually places a Stop Loss line based on recent market structure (Highs/Lows) and instantly calculates the required position size (Contracts/Lots) to match your defined monetary risk.
1. Dynamic Stop Loss : It identifies the highest high (for Shorts) or lowest low (for Longs) over a user-defined lookback period.
2. Position Calculation : It calculates the distance between the current price and the Stop Loss level.
3. Formula : Contract Size = Risk Amount / (Distance * Point Value)
4. Actual vs. Target Risk : Because of the rounding, the script calculates and displays the Actual Risk (e.g., $95) alongside your Target Risk (e.g., $100), so you know exactly what is at stake.
Key Features
Real-time Calculation : Updates instantly as price moves.
Copy Trading Support : Includes an "Account Multiplier" setting. If you trade 10 accounts via a copy trader, set the multiplier to 10. The indicator will show the total contract size needed across all accounts.
Point Value Support : Works for Stocks/Crypto (Point Value = 1) and Futures (e.g., ES = 50, NQ = 20).
Customizable UI : Toggle specific data on/off in the label (e.g., hide price, show only contracts). Adjustable label offset to keep the chart clean.
Settings Guide
Trade Direction : Toggle between Long and Short setups. Add the indicator two times and set another for Longs and another for Shorts so you can see both direction at the same time.
Risk Amount : Your max risk in currency (e.g., $100).
Lookback : How many bars back to look for the SL pivot (e.g., 10 bars).
Point Value : Crucial for Futures. Use 1.0 for Crypto/Stocks. Use tick value/point value for futures (e.g., 50 for ES).
Account Multiplier : Multiply the position size for multiple accounts.
Label Offset : Move the information label to the right to avoid overlapping with price action.
Disclaimer
This tool is for informational and educational purposes only. Always verify calculations manually before executing trades. Past performance is not indicative of future results.
DeMarker (DeM)The DeMarker (DeM) indicator is a momentum oscillator designed to identify overbought and oversold conditions by comparing the most recent price extremes (highs and lows) to those of the previous candle. It moves between 0 and 1 and is especially useful for spotting potential trend reversals, exhaustion, and better-timed entries within larger trends.
How the DeMarker works
The DeMarker focuses on the relationship between today’s highs and lows and those of the previous bar:
• When price is pushing to new highs but not making significantly lower lows, DeM tends to rise toward 1, reflecting buying pressure and potential overbought conditions.
• When price is making lower lows but not significantly higher highs, DeM falls toward 0, reflecting selling pressure and potential oversold conditions.
Internally, the indicator measures the positive difference between the current high and the previous high (up-move strength) and the positive difference between the previous low and the current low (down-move strength). These values are smoothed over a user-defined period and combined into a ratio that keeps the output bounded between 0 and 1, making it easy to interpret visually.
Default settings and parameters
Typical default settings are aimed at providing a balance between responsiveness and noise reduction:
• Length: 14
• Overbought level: 0.7
• Oversold level: 0.3
With these settings, readings above 0.7 suggest that the market may be overheated to the upside, while readings below 0.3 suggest potential exhaustion on the downside. Traders can adjust these parameters depending on their style and the volatility of the asset.
Example configurations
Here are a few practical configurations that can be suggested to users:
• Swing trading setup:
• Length: 14–21
• Overbought: 0.7–0.75
• Oversold: 0.25–0.3
This works well on 4H and daily charts for spotting potential swing highs and lows.
• Short-term intraday setup:
• Length: 7–10
• Overbought: 0.8
• Oversold: 0.2
A shorter length increases sensitivity, better for 5–15 minute charts, but also increases the number of signals.
• Trend-following filter:
• Length: 20–30
• Overbought: 0.65–0.7
• Oversold: 0.3–0.35
This smoother configuration can be used together with moving averages to filter trades in the direction of the main trend.
Basic trading usage
Traders commonly use DeMarker in three main ways:
• Mean-reversion entries:
• Look for DeM below the oversold level (for example, 0.3 or 0.25) while price is approaching a support zone.
• Consider long entries when DeM turns back up and crosses above the oversold level, ideally confirmed by a bullish candle pattern or break of minor resistance.
• Taking profits or trimming positions:
• When DeM moves above the overbought level (for example, 0.7–0.8) near a known resistance level, traders may choose to take partial profits or tighten stops.
• A downward turn from overbought after a strong rally often signals momentum exhaustion.
• Divergence signals:
• Bullish divergence: price makes a lower low while DeM makes a higher low. This can hint at weakening downside momentum and a possible reversal upward.
• Bearish divergence: price makes a higher high while DeM makes a lower high. This can warn of weakening upside momentum before a pullback.
Combining with other tools
DeMarker often performs best as part of a confluence-based approach rather than as a standalone signal generator:
• Combine with trend filters:
• Use a moving average (for example, 50 or 200 EMA) to define trend direction and take DeM oversold entries only in uptrends, or overbought entries only in downtrends.
• Use with support/resistance and price action:
• Prioritize DeM signals that occur near well-defined horizontal levels, trendlines, or supply/demand zones.
• Add volume or volatility tools:
• Strong signals tend to appear when DeM reverses from extreme zones in sync with a volume spike or volatility contraction/expansion.
Daily Levels ImporterUser Guide: Daily Levels Importer
What This Indicator Does
This tool allows you to instantly draw multiple support and resistance lines on your TradingView chart by pasting a list of data. It avoids the need to manually draw lines one by one. It also features a dashboard to identify the ticker and filters to toggle specific line colors on or off.
1. The Data Format
The indicator reads text in a specific 3-column format (Comma Separated).
Format: \, \, \
* Ticker: The symbol name (used for the dashboard display).
* Price: The price level where the line will be drawn.
* Color Code:
r = Red
g = Green
y = Yellow
Example:
ES, 4150.25, r
ES, 4200.00, g
ES, 4175.50, y
2. How to Use It
3. Copy Your Data: Select your list of levels (from Excel, a text file, or a website) and copy them to your clipboard.
4. Open Settings: On your TradingView chart, hover over the indicator name and click the Settings (Gear Icon).
5. Paste Data:
* Find the "Paste Data Here" text box in the Inputs tab.
* Delete any existing text.
* Paste your new list.
6. Save: Click OK. The lines will instantly render on your chart.
7. Controls & Filters
You can customize the view without deleting data by using the checkboxes in the Settings menu:
* Line Filters:
* Show Red Levels: Uncheck to hide all red lines.
* Show Green Levels: Uncheck to hide all green lines.
* Show Yellow Levels: Uncheck to hide all yellow lines.
* Dashboard Location:
* Use the dropdowns to move the Ticker ID box to any corner of the screen (e.g., Top Right, Bottom Left) or change its size.
8. Troubleshooting
Lines aren't showing up?
* Ensure the prices match the asset you are viewing (e.g., don't paste SPX prices on an AAPL chart).
* Check if you accidentally unchecked the "Show " box in the settings.
"No Data" in Dashboard?
* The script reads the ticker name from the first row of your pasted data. Ensure the first row is not blank.
Is there a limit?
* Yes. TradingView allows approximately 4,000 characters in the text box. This is roughly 250 lines of price levels. If you need more, add a second instance of the indicator to the chart.
Relative Strength IndexRSI for indian market buy low and sell high.
rsi 3 low belo 15 buy and rsi high above 85 sell
Neosha Concept V4 (NY Time)
Imagine the financial market as a huge ocean. Millions of traders throw orders into it every second. But beneath all the noise, there is a powerful current that quietly controls where the waves move. That current is not a person, not a trader, and not random—it is an algorithm.
This algorithm is called the Interbank Price Delivery Algorithm (IPDA).
Think of it as the “navigation system” that guides price through the market.
IPDA has one job:
to move prices in a way that keeps the market efficient and liquid.
To do this, it constantly looks for two things:
1. Where liquidity is hiding
Liquidity is usually found above highs and below lows—where traders place stop losses. The algorithm moves price there first to collect that liquidity.
2. Where price became unbalanced
Sometimes price moves too fast and creates gaps or imbalances. IPDA returns to those areas later to “fix” the missing orders.
Once you start looking at the charts with this idea in mind, everything makes more sense:
Why price suddenly spikes above a high and crashes down
Why big moves leave gaps that price later fills
Why the market reverses right after taking stops
Why trends begin only after certain levels are hit
These are not accidents.
They are the algorithm doing its job.
Price moves in a repeating cycle:
Gather liquidity
Make a strong move (displacement)
Return to fix inefficiency
Deliver to the next target
Most beginners only see the candles.
But once you understand IPDA, you see the intention behind the candles.
Instead of guessing where price might go, you begin to understand why it moves there.
And once you understand the “why,” your trading becomes clearer, calmer, and far more accurate.
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.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description
Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution.
This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions.
System Philosophy
The core idea of this system is simple:
trade only when trend, price location, volume, and volatility are aligned.
Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias.
Component Breakdown
Ichimoku Cloud
Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases.
VWAP
Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean.
OBV (On-Balance Volume)
Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals.
ATR (Average True Range)
Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement.
Trade Logic Overview
The system is designed around trend-following pullbacks, not prediction or counter-trend trading.
When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists.
Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity.
Intended Use
This indicator is built for:
NQ intraday and day trading
Trend continuation and pullback strategies
Traders who prefer structured, confirmation-based systems
Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts
Important Notes
This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Trinity Real Move Detector DashboardRelease Notes (critical)
1. This code "will" require tweaks for different timeframes to the multiplier, do not assume the data in the table is accurate, cross check it with the Trinity Real Move Detector or another ATR tool, to validate the values in the table and ensure you have set the correct values.
2. I mention this below. But please understand that pine code has a limitation in the number of security calls (40 request.security() calls per script). This code is on the limit of that threshold and I would encourage developers to see if they can find a way around this to improve the script and release further updates.
What do we have...
The Trinity Real Move Detector Dashboard is a powerful TradingView indicator designed to scan multiple assets at once and show when each one has genuine short-term volatility "energy" — the kind that makes directional options trades (especially 0DTE or short-dated) have a high probability of follow-through, and can be used for swing trading as well. It combines a simple ATR-based volatility filter with a SuperTrend-style bias to tell you not only if the market is "awake" but also in which direction the momentum is leaning.
At its core, the indicator calculates the current ATR on your chosen timeframe and compares it to a user-defined percentage of the asset's daily ATR. When the short-term ATR spikes above that threshold, it signals "enough energy" — meaning the underlying is moving with real force rather than choppy noise. The SuperTrend logic then determines bullish or bearish bias, so the status shows "BULLISH ENERGY" (green) or "BEARISH ENERGY" (red) when energy is on, or "WAIT" when it's not. It also counts how many bars the energy has been active and shows the current ATR vs threshold for quick visual confirmation.
The dashboard displays all this in a clean table with columns for Symbol, Multiplier, Current ATR, Threshold, Status, Bars Active, and Bias (UP/DOWN). It's perfect for 3-minute charts but works on any timeframe — just adjust the multiplier based on the hints in the settings.
Editing symbols and multipliers is straightforward and user-friendly. In the indicator settings, you'll see numbered inputs like "1. Symbol - NVDA" and "1. Multiplier". To change an asset, simply type the new ticker in the symbol field (e.g., replace "NVDA" with "TSLA", "AVGO", or "ADAUSD"). You can also adjust the multiplier for each asset individually in the corresponding "Multiplier" field to make it more or less sensitive — lower numbers give more signals, higher numbers give stricter, higher-quality ones. This lets you customize the dashboard to your watchlist without any coding. For example, if you switch to a 4-hour chart or a slower-moving stock like AVGO, you may need to raise the multiplier (e.g., to 0.3–0.4) to avoid false "bullish" signals during minor bounces in a larger downtrend.
One important note about the multiplier and timeframes: the default values are optimized for fast intraday charts (like 3-minute or 5-minute). On higher timeframes (15-minute, 1-hour, 4-hour, or daily), the SuperTrend bias can be too sensitive with low multipliers (1.0 default in the code), leading to situations like the AVGO 4-hour example — where price is clearly downtrending, but the dashboard shows "BULLISH ENERGY" because the tight bands flip on small bounces. To fix this, you need to manually increase the multiplier for that asset (or all assets) in the settings. For 4-hour or daily charts, 0.25–0.35 is often better to match smoother SuperTrend indicators like Trinity. Always test on your timeframe and asset — crypto usually needs slightly lower multipliers than stocks due to higher volatility.
TradingView has a hard limit of 40 request.security() calls per script. Each asset in the dashboard requires several calls (current ATR, daily ATR, SuperTrend components, etc.), so with the full ATR-based bias, you can safely monitor about 6–8 assets before hitting the limit. Adding more symbols increases the number of calls and will trigger the "too many securities" error. This is a platform restriction to prevent excessive server load, and there's no official way around it in a single script. Some advanced coders use tricks like caching or lower-timeframe requests to squeeze in a few more, but for reliability, sticking to 6–8 assets is recommended. If you need more, the common workaround is to create two separate indicators (e.g., one for stocks, one for crypto) and add both to the same chart.
Overall, this dashboard gives you a professional-grade multi-asset scanner that filters out low-energy noise and highlights real momentum opportunities across stocks and crypto — all in one glance. It's especially valuable for options traders who want to avoid theta decay on weak moves and only strike when the market has true fuel. By tweaking the per-symbol multipliers in the settings, you can perfectly adapt it to any timeframe or asset behavior, avoiding issues like the AVGO false bullish signal on higher timeframes.
Global M2 YoY % Change (USD) 10W-12W LEADthe base script is from @dylanleclair I modified it slightly according to the views on liquidity by professionals — average estimated lead time to price of btc, leading 10-12 weeks. liquidity and bitcoin’s price performance track pretty close and so it’s a cool tool for phase recognition, forward guidance and expectation management.
Previous Day Week Month Highs & Lows [MHA Finverse]Previous Day Week Month Highs & Lows is a comprehensive multi-timeframe indicator that automatically plots previous period highs and lows across Daily, Weekly, Monthly, 4-Hour, and 8-Hour timeframes. Perfect for identifying key support and resistance levels that often act as magnets for price action.
How It Works
The indicator retrieves the highest high and lowest low from the previous completed period for each selected timeframe. Lines extend forward into current price action, allowing you to see when price approaches or breaks these critical levels in real-time. The indicator tracks the exact bar where each high and low occurred, ensuring accurate historical placement.
---
Key Features
Multi-Timeframe Levels:
• Current Daily, Previous Daily, 4H, 8H, Weekly, and Monthly highs/lows
• Fully customizable colors and line styles (Solid, Dashed, Dotted)
• Adjustable line width and extension length
Visual Enhancements:
• Price labels showing exact level values
• Range position percentage (distance from high/low)
• Optional period boxes highlighting timeframe ranges
• Day and date labels for reference
Trading Tools:
• Breakout markers when price crosses key levels
• Touch count tracking (how many times price tested each level)
• Time at level display (consolidation detection)
• Customizable thresholds for touch and time analysis
Alert System:
• Individual alerts for each timeframe: Daily High/Low Break, 4H High/Low Break, 8H High/Low Break, Weekly High/Low Break, Monthly High/Low Break
• Toggle switches to enable/disable alerts per timeframe
• Clear messages showing which level was broken and at what price
---
How to Use
Setup:
1. Enable your preferred timeframes in "Highs & Lows MTF" settings
2. Customize colors and styles to match your chart
3. Turn on visual features like price labels and range percentages
4. Set up alerts by creating specific alert conditions or using toggle switches
Trading Applications:
Breakout Trading: Watch for strong momentum when price breaks above previous highs or below previous lows
Support/Resistance: Use these levels as potential reversal points for entry/exit signals
Range Trading: Trade between previous highs and lows using the range position indicator
Stop Loss Placement: Place stops just beyond previous highs (shorts) or lows (longs)
Multiple Timeframe Confirmation: Combine timeframes for stronger signals (e.g., Daily near Weekly support)
---
Best Practices
• Use Weekly/Monthly for swing trading, Daily/4H/8H for day trading
• Combine with volume or momentum indicators for confirmation
• Multiple timeframe levels clustering together create high-probability zones
• The more touches a level has, the more significant it becomes
---
Disclaimer
This indicator is a technical analysis tool for identifying price levels based on historical data. It does not guarantee profits or predict future movements. Trading involves substantial risk. Always use proper risk management and never risk more than you can afford to lose.
Directional Movement Index (SHADED)Shaded red in between DMI lines when DMI- > DMI+
Shaded blue in between DMI lines when DMI+ > DMI-
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals.
In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions.
This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
RSI Dip Reversal Pro ScannerRSI Upside Reversal Scanner (High Accuracy)
This indicator is designed to detect early-stage upside reversals by identifying when RSI crosses upward from oversold levels while the price remains positioned in the lower portion of its recent range. It combines momentum shift with price location analysis to produce highly reliable reversal signals.
It uses 3 primary filters:
RSI Oversold Cross:
RSI must cross upward from the oversold threshold (default 30).
Price in Bottom Range:
Price must be located within the lower 40% of the last 20-bar range, indicating a discount zone.
Overbought Protection:
RSI must stay below the ceiling level (default 75) to prevent signals near top exhaustion.
When all criteria are met, the indicator plots a “GİRİŞ” (ENTRY) label below the candle.
This tool is ideal for:
Identifying accurate dip-buy zones
Capturing trend reversals early
Optimizing swing and scalp entries
Feeding systematic trading models or bots
It performs well on short- and mid-term timeframes.
Multiple Horizontal Lines_SanHorizontal lines can be drawn with given coordinates with defined intervals
Friday-Monday Pattern Backtest (Market Rebellion)Tests the "Friday-Monday Pattern" popularized by Tom Hougaard / Market Rebellion.
PATTERN LOGIC:
• When Friday's high is LOWER than Thursday's high (setup condition)
• Then Friday's low is often revisited on the following Monday
WHAT THIS INDICATOR SHOWS:
• Orange background highlights valid setup bars (Thu-Fri-Mon)
• Red horizontal line marks Friday's low (the target level)
• Green "SUCCESS" label = Monday hit Friday's low
• Red "FAIL" label = Monday did not reach Friday's low
• Stats table (top-right) shows total setups, successes, and success rate
USE THIS TO:
• Backtest the pattern on any daily chart (works best on indices, forex, futures)
• Verify the claimed "overwhelming" tendency statistically
• Identify which markets/timeframes show the highest success rate
CREDITS:
Pattern idea from Tom Hougaard / Market Rebellion: x.com
Indicator by BacktestBay for transparent pattern verification.
USAGE NOTES:
• Must be applied to DAILY charts
• Uses time_close("D") for accurate day-of-week detection on forex pairs
• No trading signals - purely for statistical backtesting
EMA Cross Color Buy/Sell//@version=5
indicator("EMA Color Cross + Trend Arrows V6", overlay=true, max_bars_back=500)
// === Inputs ===
fastLen = input.int(9, "Hızlı EMA")
slowLen = input.int(21, "Yavaş EMA")
// === EMA Hesapları ===
emaFast = ta.ema(close, fastLen)
emaSlow = ta.ema(close, slowLen)
// Trend Yönü
trendUp = emaFast > emaSlow
trendDown = emaFast < emaSlow
// === Çizgi Renkleri ===
lineColor = trendUp ? color.new(color.green, 0) : color.new(color.red, 0)
// === EMA Çizgileri (agresif kalın) ===
plot(emaFast, "Hızlı EMA", lineColor, 4)
plot(emaSlow, "Yavaş EMA", color.new(color.gray, 70), 2)
// === Ok Sinyalleri ===
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// Büyük Oklar
plotshape(buySignal, title="AL", style=shape.triangleup, color=color.green, size=size.large, location=location.belowbar)
plotshape(sellSignal, title="SAT", style=shape.triangledown, color=color.red, size=size.large, location=location.abovebar)
// === Trend Bar Color ===
barcolor(trendUp ? color.green : color.red)
EMA Color Cross + Trend Bars//@version=5
indicator("EMA Color Cross + Trend Bars", overlay=true)
// EMA ayarları
shortEMA = input.int(9, "Short EMA")
longEMA = input.int(21, "Long EMA")
emaShort = ta.ema(close, shortEMA)
emaLong = ta.ema(close, longEMA)
// Trend yönü
trendUp = emaShort > emaLong
trendDown = emaShort < emaLong
// EMA çizgileri trend yönüne göre renk değiştirsin
plot(emaShort, color=trendUp ? color.green : color.red, linewidth=2)
plot(emaLong, color=trendUp ? color.green : color.red, linewidth=2)
// Barları trend yönüne göre renklendir
barcolor(trendUp ? color.green : color.red)
// Kesişim sinyalleri ve oklar
longSignal = ta.crossover(emaShort, emaLong)
shortSignal = ta.crossunder(emaShort, emaLong)
plotshape(longSignal, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(shortSignal, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
EMA Cross BUY SELL
ema1Length = input.int(10, "EMA1 Periyodu")
ema2Length = input.int(20, "EMA2 Periyodu")
emaLineWidth = input.int(3, "EMA Çizgi Kalınlığı", minval=1, maxval=10)
bgTransparency = input.int(85, "Arka Plan Saydamlığı", minval=0, maxval=100)
ema1 = ta.ema(close, ema1Length)
ema2 = ta.ema(close, ema2Length)
longSignal = ta.crossover(ema1, ema2)
shortSignal = ta.crossunder(ema1, ema2)
var int trend = 0
trend := longSignal ? 1 : shortSignal ? -1 : trend
barcolor(trend == 1 ? color.green : trend == -1 ? color.red : na)
bgcolor(trend == 1 ? color.new(color.green, bgTransparency) : trend == -1 ? color.new(color.red, bgTransparency) : na)
plot(ema1, color=trend == 1 ? color.green : trend == -1 ? color.red : color.gray, linewidth=emaLineWidth, title="EMA1")
plot(ema2, color=trend == 1 ? color.green : trend == -1 ? color.red : color.gray, linewidth=emaLineWidth, title="EMA2")
plotshape(longSignal, title="Al Ok", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(shortSignal, title="Sat Ok", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
EMA COLOR BUY SELL
indicator("EMA Tabanlı Renkli İndikatör", overlay=true)
emaLength = input.int(21, "EMA Periyodu")
fastEMA = ta.ema(close, emaLength)
slowEMA = ta.ema(close, emaLength * 2)
trendUp = fastEMA > slowEMA
trendDown = fastEMA < slowEMA
barcolor(trendUp ? color.new(color.green, 0) : trendDown ? color.new(color.red, 0) : color.gray)
plot(fastEMA, color=trendUp ? color.green : color.red, title="Fast EMA", linewidth=2)
plot(slowEMA, color=color.blue, title="Slow EMA", linewidth=2)
Bassi MA Entry Helper MTF EMA , VWMA Swing , ADX , SMA200 , TPBassi MA Entry Helper is an advanced multi-timeframe confluence system designed to identify high-probability entries using trend, volume, market structure, and volatility filters.
It is built for traders who want cleaner signals, fewer false entries, and strong multi-confirmation setups.
Key Features
Multi-Timeframe EMA Crossovers – HTF signal engine
SMA200 Trend Filter – prevents counter-trend trades
VWMA Swing Confirmation – volume-validated micro-swings
ADX Filter – only trade when the trend has strength
Fractal Structure Mapping – identifies swing highs/lows
Retracement Filter – confirms pullbacks before entries
TP/SL Automation – ATR or percentage based
Clean Entry Labels – main & additional entry signals
Highly Customizable – mode, timeframe, filters, visuals
This script is ideal for:
Scalping • Intraday • Swing • Trend continuation • Volume-based setups • Multi-timeframe alignment
How It Works
Main Buy/Sell Signals
Triggered when:
✔ Fast EMA crosses Slow EMA (HTF)
✔ Price aligned with trend
✔ SMA200 filter valid
✔ VWMA confirmation (optional)
✔ ADX strong
✔ Retracement valid (optional)
Additional Buy/Sell Signals
Triggered when VWMA crosses Slow EMA during trend continuation.
TP/SL System
You can choose between:
%-based take-profit & stop-loss
ATR-based dynamic levels
Automatically projects clean visual levels on your chart.
Notes
This indicator does not repaint and is suitable for both real-time and historical analysis.
Always combine signals with proper risk management.
Initial Release – v1.0
Added multi-timeframe EMA engine
Added SMA200 trend filter
Added VWMA swing entries
Added ADX strength filter
Added retracement filter
Added fractal swing detection
Added TP/SL auto plotting
Added main & additional entry labels
Performance optimized
Zee's A+ MOMO BreakThis just shows an indicator when you have a 5 minute momentum candle that breaks PMH under specific parameters, i.e candle size, wick size, relative volume, time of day, etc. It will plot the PMH with a gold line automatically. Entry would be at the close of the MOMO break. I highly encourage you to back test your results and see how strong this setup is. Any questions feel free to comment or reach out, thanks.






















