RSI 1H/4H Multi-Level (REPAINT) - Hourly LimitRSI 1H/4H Multi-Level (REPAINT) – Hourly Limit is a Pine Script v5 indicator designed to monitor RSI level crossings on two higher timeframes (1H and 4H) while controlling alert frequency to avoid spam. The script can display visual dots on the chart and trigger a single consolidated alert message when either timeframe’s RSI crosses user-defined levels—limited to once per hour.
Key features
1) Dual timeframe RSI monitoring (1H + 4H)
Calculates RSI on 1-hour (60) and 4-hour (240) timeframes independently.
Each timeframe has its own configurable settings:
RSI Length
Lower level (commonly oversold, e.g., 30)
Upper level (commonly overbought, e.g., 70)
Dot color for chart marking
2) Multi-level cross detection
The indicator tracks when RSI crosses either boundary level:
1H RSI crosses its Lower or Upper level
4H RSI crosses its Lower or Upper level
A trigger occurs if any of these crossings happens.
3) Hourly alert limiter (anti-spam)
To prevent repeated alerts, the script includes an hourly cooldown:
It stores the start time of the last hour when an alert was fired.
A new alert can only fire when the current hour start time is greater than the last recorded one.
Result: maximum 1 alert per hour, even if multiple crossings occur within the same hour.
4) Consolidated alert message
When triggered, the script builds a single message that can include:
1H RSI value if the 1H crossing occurred
4H RSI value if the 4H crossing occurred
Example message format:
1H RSI (52.34) crossed level; 4H RSI (48.10) crossed level;
5) On-chart visualization with priority coloring
If enabled, the script plots a dot below the bar on trigger:
White dot if both 1H and 4H signals fired in the same hour
1H color if only 1H fired
4H color if only 4H fired
Important note: REPAINT behavior
This indicator intentionally uses request.security(..., lookahead=barmerge.lookahead_on), meaning it can repaint because it references higher-timeframe data with lookahead enabled. As a result:
Cross signals may appear earlier than they would in a non-repainting implementation.
Signals can change as the higher timeframe candle evolves.
Typical use cases
Monitoring overbought/oversold zone transitions on higher timeframes while trading lower timeframes.
Receiving fewer, cleaner alerts thanks to the hourly limit.
Quickly identifying whether a signal came from 1H, 4H, or both using dot colors.
Indicatori e strategie
Donchian Channels (Closing Price)The original Donchian Channel uses the highs and lows to plot.
For this indicator, it's based on the closing price. Useful for those who want to identify a breakout that's based on the closing price.
Kaste HARSH [Pure]How it works:
Trend component: Measures the percentage distance between fast (12) and slow (26) EMAs
Momentum component: RSI centered at 50 (range -50 to +50)
Result: A smoothed line oscillating around zero—positive values indicate bullish momentum, negative values bearish
Reading the indicator:
Above zero: Uptrend dominance; line above orange signal = strong momentum
Below zero: Downtrend dominance; line below signal = weakening momentum
±20 dotted lines: Overbought/oversold thresholds (adjustable via background colors)
Best used for: Confirming trend direction and spotting momentum divergences without chart clutter. Pure price action alignment—no buy/sell arrows, just raw trend energy.
Altangadas Megad //@version=5
indicator("VWAP/MVWAP/EMA Precise Final", overlay = true)
// --- 1. Signal Settings ---
vwapLength = input.int(1, title="VWAP Length", minval=1)
emaLength1 = input.int(7, title="Signal EMA 1 (7)", minval=1)
emaLength2 = input.int(25, title="Signal EMA 2 (25)", minval=1)
mvwapLength = input.int(21, title="MVWAP Length", minval=1)
// --- RSI Settings ---
rsiLength = input.int(14, title="RSI Length")
rsiLimit = input.int(70, title="RSI Filter Level")
// --- 2. Trend EMA Settings ---
ema50Length = input.int(50, title="Trend EMA 50")
ema100Length = input.int(100, title="Trend EMA 100")
ema200Length = input.int(200, title="Trend EMA 200")
ema800Length = input.int(800, title="Institutional EMA 800")
// --- Calculations ---
vwapValue = ta.vwap(hlc3)
cvwap = ta.ema(vwapValue, vwapLength)
mvwap = ta.ema(vwapValue, mvwapLength)
rsiValue = ta.rsi(close, rsiLength)
ema1 = ta.ema(close, emaLength1)
ema2 = ta.ema(close, emaLength2)
ema50 = ta.ema(close, ema50Length)
ema100 = ta.ema(close, ema100Length)
ema200 = ta.ema(close, ema200Length)
ema800 = ta.ema(close, ema800Length)
// --- Plotting Lines ---
plot(cvwap, color=color.blue, linewidth=2, title="VWAP", style=plot.style_linebr)
plot(mvwap, color=color.fuchsia, linewidth=2, title="MVWAP", style=plot.style_linebr)
plot(ema1, color=color.new(color.yellow, 50), title="EMA 7")
plot(ema2, color=color.new(color.orange, 50), title="EMA 25")
plot(ema50, color=color.green, linewidth=1, title="EMA 50")
plot(ema100, color=color.blue, linewidth=1, title="EMA 100")
plot(ema200, color=color.gray, linewidth=2, title="EMA 200")
plot(ema800, color=color.yellow, linewidth=4, title="EMA 800")
// --- Signal Logic (Анхны огтлолцол дээр нэг удаа сигнал өгөх) ---
// LONG: EMA болон VWAP бүгд MVWAP-аас дээш гарахад
longCond = (ema1 > mvwap) and (ema2 > mvwap) and (cvwap > mvwap)
// SHORT: EMA болон VWAP бүгд MVWAP-аас доош ороход
shortCond = (ema1 < mvwap) and (ema2 < mvwap) and (cvwap < mvwap)
// Зөвхөн төлөв өөрчлөгдөх мөчийг барих
longTrigger = longCond and not longCond and (rsiValue < rsiLimit)
shortTrigger = shortCond and not shortCond and (rsiValue > (100 - rsiLimit))
// --- Tiny Signals ---
plotshape(longTrigger, title="L", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.tiny, text="L")
plotshape(shortTrigger, title="S", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny, text="S")
// --- Alerts ---
alertcondition(longTrigger, title="Long Alert", message="XAUUSD: LONG!")
alertcondition(shortTrigger, title="Short Alert", message="XAUUSD: SHORT!")
THAI TRENDINGVolume is the total amount of assets traded in a specific period of time. The 24-hour Volume indicator is used to measure the total volume of a symbol traded in the last 24 hours, expressed as in currency. It can be used to measure the market's interest in a particular symbol.
ES to SPX Lead (RTH Adaptive)Very simple script designed especially to trade CFD but also scalping.
Only RTH (you'll understand why)
Not a stand-alone indicator, e.g., an external event may hit the index and /ES leading nature will become meaningless. Same with a sudden crash on a Mag7 stock.
Uses Z Score to evaluate if /Es is leading SPX (or not) and /ES VWAP to establish bullish (+1) or bearish territory (-1). Histogram is the product of Z Score times VWAP status, red or green depending.
Z score goes from -2 to +2.
Zscore reading: 0.4 < |Z| < 1.2 is the trading zone.
|Z| <0.4 is sort of neutral shifting gears zone, a no-trade and may be transition moment.
Middle numbers show max. limits based on actual volatility (i.e. when to exit and when definitely not to enter a trade).
Grey stripes is NO TRADE zone.
Final number is the composite histogram value.
So:
Textbook bullish: /ES above VWAP and Z Score positive
Textbook negative: /ES below VWAP and Z score negative
If Green Histogram & negative Z Score, you may enter bearish pullback trades making sure Z score is in the sweet spot bracket.
If Red histogram & negative Z score, it's a conflict state, signals are not alined. Holds a bullish nature but it may be a warning sign.
Script produced by Chat GPT after several iterations.
Ultimate Overnight Trading Range + Levels (day, week, month) Define your Ultimate Overnight Trading Range:
~ Overnight Range Features ~
Three modes:
1. Default Mode (18:00 EST to 9:30 EST Open):
- Tracks the high and low from 18:00 EST until 9:30 EST market open
- Uses 5-minute candle data for precise boundary detection
2. Custom Time Range:
- Define your own start and end times
- Select from 14 major time zones
3. Custom Candle Selection:
- Select specific candles from 4-hour, 1-hour, or 30-minute timeframes
- Choose which candles define your overnight range - example: 22:00 and 2:00 EST 4-hr candle
- Use High/Low or Open/Close as your price source
~ Previous Period Levels ~
Automatically plots Open, Close, High, and Low from:
Previous Month
Previous Week
Previous Day
Toggle on/off whatever you want of course. Extend lines left and right etc.
Alerts:
You can set alerts on any of the plotted levels: Click on the indicator settings and select "Add Alert on..."
Configuring Overnight Range
Mode 1: Default (22:00 EST to Open)
- Simply select this mode—no additional configuration needed. The indicator will automatically track the overnight session from 22:00 EST until 9:30 EST.
Mode 2: Custom Time Range
- Select "Custom Time Range" from the Mode dropdown
- Choose your timezone from the list
- Set your desired Start Hour and Start Minute
- Set your desired End Hour and End Minute
Mode 3: Custom Candle Selection
- Select specific candles from 4-hour, 1-hour, or 30-minute timeframes
- Choose which candles define your overnight range - example: 22:00 and 2:00 EST 4-hr candle
- Use High/Low or Open/Close as your price source
Please let me know if any corrections or changes are needed. Thanks! :)
Quartile Close HighlighterThis indicator highlights price action by coloring candles based on their closing relative to their range. It paints the candle green if the close is within the top quartile (upper 25%) and red if the close is within the lower quartile (bottom 25%).
Position Size Gev_Risk ($)
The amount of money you are willing to lose if the stop-loss is hit.
Base Stop Price
The stop-loss price you set. The stop is recalculated in real time as price moves.
Fee (%) round-trip
Estimated total trading fees for opening and closing the position.
Stop Mode
With Buffer: adds extra distance to the stop, resulting in a smaller position size
No Buffer: uses the Base Stop Price exactly as entered
Stop Buffer (%)
The percentage added to the stop distance when Stop Mode is set to With Buffer.
Live adjustment behavior
The stop price updates continuously as price moves, and the position size is recalculated live to stay aligned with the selected Risk ($).
KASTE Buy & SellThis indicator works like a **MACD-based momentum tool**.
It calculates the difference between a fast and a slow moving average (MACD line) and smooths it with a signal line.
* A **Buy signal** appears when the MACD line crosses **above** the signal line, indicating rising bullish momentum.
* A **Sell signal** appears when the MACD line crosses **below** the signal line, indicating increasing bearish momentum.
The histogram visualizes momentum strength: green bars show bullish momentum and red bars show bearish momentum.
ICT Kill Zone [KTY]ICT Kill Zone Indicator
This indicator displays ICT Kill Zones, which are high-liquidity trading periods during major exchange opening hours.
Smart money tends to make significant moves during these times, resulting in increased volatility and trading volume.
Four Kill Zones
- AS KZ (Asian): Lower volatility, range formation period
- LDN KZ (London): European session start, liquidity surge
- NY KZ (New York): Europe + US overlap, strongest moves
- LDN CL KZ (London Close): London closing, position unwinding period
Market Hours Display
- Shows actual trading hours for Asian, London, and New York markets
- High/low lines for each session
Session Indicators
- Visual markers at the bottom of chart showing active kill zones
- Labels when each kill zone begins
1. Identify which kill zone is currently active
2. Signals during kill zones (CHoCH/BOS, OB, FVG) have higher significance
3. Watch for Asian range breakout in London/New York sessions
4. Be cautious of false moves outside kill zone hours
Pro Tips:
- New York kill zone typically has the strongest moves
- London open often sets the daily direction
- Asian session forms the range that gets broken later
- Combine kill zones with other ICT concepts for best results
Show Kill Zones: Toggle kill zone display on/off
Show Market Hours: Toggle market hours lines on/off
Show Latest Data Only: Display only the most recent kill zone
Daylight Saving Time: Apply DST adjustment (On/Off)
Asian Kill Zone Started
London Kill Zone Started
New York Kill Zone Started
London Close Kill Zone Started
This indicator is designed for educational purposes.
Kill zones only display on 15-minute or lower timeframes.
Always combine with proper risk management.
If you find this indicator helpful, please leave a like and follow for more ICT-based tools!
KASTE indicator 2 (for 10s Entries)This script is a **1-minute MACD-based trend filter** designed to define clear **bullish or bearish market bias**.
It uses a fast MACD configuration combined with a 50-period EMA to identify short-term trend direction and momentum strength.
A bullish state is shown when price is above the EMA and MACD momentum is rising above zero, while a bearish state is shown when price is below the EMA and momentum is falling below zero.
The background color highlights the current trend, making it easy to align **10-second entry timing** with the higher-timeframe bias and avoid trading in choppy conditions.
Emerging Shotgun StrategyThis strategy was made after watching a YouTube video on the trader named Bibiri. You need to watch the emerging markets fund (Russell, or other) and then have multiple different stocks open. If you see an arrow, take out a position with a high take profit but a really short stop loss. This will mean that a lot fail, but the ones that jump will make profits.
EMA 5 7 Ribbon You can use this to catch bi moves.
There are simple moving averages.
you can change colour in settings.
DANI _ MTF Pullback - RSI PanelMTF Pullback - RSI Panel Summary
Purpose: Companion indicator for the main strategy that displays RSI with divergence detection in a separate pane below the price chart.
Settings
ParameterDefaultDescriptionRSI Length14Lookback period for RSI calculationRSI Oversold Level30Threshold for oversold conditionRSI Overbought Level70Threshold for overbought conditionDivergence Lookback Bars10How many bars to look back for divergence detection
What It Displays
RSI Line — Changes color based on zone:
Purple = neutral (between 30-70)
Green = oversold (below 30)
Red = overbought (above 70)
Horizontal Levels:
Red dashed line at 70 (overbought)
Green dashed line at 30 (oversold)
Gray dotted line at 50 (midpoint)
Zone Fills:
Light red shading above 70
Light green shading below 30
Divergence Markers:
"DIV" label with lime circle = bullish divergence (price makes lower low, RSI makes higher low while oversold)
"DIV" label with fuchsia circle = bearish divergence (price makes higher high, RSI makes lower high while overbought)
Background Flash:
Green flash when bullish divergence detected
Red flash when bearish divergence detected
Divergence Logic
Bullish: Price makes a lower low AND RSI makes a higher low AND RSI is in oversold territory → potential reversal up
Bearish: Price makes a higher high AND RSI makes a lower high AND RSI is in overbought territory → potential reversal down
A Ordem MediasTrend indicator, to always trade in favor of the trend.
You improve your accuracy by trading in favor of the 200-period moving average, above for long positions and below the 200-period moving average for short positions. Always combine with other chart patterns.
Weekend Highs & Lows (BTC)Weekend highs and lows are generally taken, this indicator will help get stats for that
BTC - NMI: Network Metabolism IndexBTC - Network Metabolism Index (NMI) | RM
Concept & Background
The Network Metabolism Index (NMI) is a fundamental valuation model that treats Bitcoin as a biological organism. While price is the "face" of the asset, the NMI measures its "internal organs"—specifically its physical security and its social circulation.
Computational Logic: The Assembly Line
To arrive at the final NMI score, the indicator follows a rigorous four-step deterministic process:
• Step 1: Metric Selection: We ingest three high-fidelity data streams from Glassnode. Difficulty (Security), Active Addresses (Utility), and Market Cap (Price).
• Step 2: Fair Value Proxy (FVP) Computation: We calculate the network's intrinsic strength using a modified Metcalfe Law. We square the Active Addresses to account for network effect growth and multiply it by the Square Root of Difficulty to weight the value by physical security.
• Step 3: Log-Ratio Normalization: Because the FVP represents astronomical values of physical and social work, we calculate the Natural Logarithm of the Market Cap divided by the FVP . This places the data into a usable, though deep-negative, "dimensionless" territory.
• Step 4: Denoising & Banding: We apply a 14-day Least Squares Moving Average (LSMA) to the result to strip away daily volatility. Finally, we wrap the curve in 1.5 Standard Deviation bands to identify statistical "Fever" (Overvalued) and "Starvation" (Undervalued) zones.
The Y-Axis is measured in Nats (Natural Logarithmic Units). Important: Users should treat these units as dimensionless . Because the fundamental proxies for security and utility are so mathematically dominant, the resulting values reside in a negative logarithmic territory . The absolute numerical value is secondary to the morphology of the curve and its position relative to the dynamic Sigma bands.
Core Features / User Inputs
• LSMA Denoising: A linear regression filter to reveal structural trends.
• Dynamic Sigma Bands: 365-day rolling bands that adapt to Bitcoin's maturing market cycle.
• Regime Audit Dashboard: Real-time classification of the network state.
How to Read The Chart
• Metabolic Starvation (Blue Zone): Security and utility are significantly higher than price reflects. A generational value opportunity.
• Metabolic Fever (Red Zone): Price is over-extended relative to the network's biological reality.
• Neutral (Grey): Price and health are in a sustainable balance.
Data Feed Disclaimer
This indicator requires access to the Glassnode professional data feeds (Difficulty, Active Addresses, and Market Cap). Users without a valid subscription to these alternative data sets will not see the oscillator render. This script is intended for macro analysis; it is not financial advice.
General Disclaimer
This indicator is a mathematical model based on historical on-chain data. It is intended for educational purposes and macro analysis. On-chain metrics are lagging by nature and should be used in conjunction with a robust risk management strategy. This is not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, OnChain, Glassnode, FundamentalAnalysis, MetcalfeLaw, Quant, Macro, Difficulty, ActiveAddresses, ValuationModel, NetworkMetabolism
PowerGaps - Multi-Timeframe Fair Value GapsPowerGaps — Multi‑Timeframe Fair Value Gap Engine
PowerGaps is a precision‑built, multi‑timeframe Fair Value Gap (FVG) engine designed for traders who rely on clean, reliable market structure signals without noise, repainting, or clutter.
It automatically detects and plots institutional FVGs from higher timeframes directly onto your current chart, giving you a clear view of premium/discount imbalances and liquidity inefficiencies that matter most.
What PowerGaps Does
• Scans four customizable timeframes (e.g., M5, M15, H1, H4) for valid bullish and bearish FVGs
• Projects those HTF gaps onto any lower timeframe chart
• Colors and labels each gap by timeframe for instant visual recognition
• Tracks each gap until it is mitigated by wick touch, then automatically closes and removes it
• Ensures no repainting, no duplicates, and no phantom gaps
• Maintains perfect alignment across timeframes using a robust, cross‑TF‑safe architecture
Why It’s Different
PowerGaps is engineered with a strict validation and mitigation system that prevents the common issues seen in many FVG indicators:
• No repeated stacking of the same gap
• No gaps disappearing when switching timeframes
• No false mitigation signals
• No stale or corrupted objects left behind
Every plotted gap is intentional, accurate, and actionable.
Ideal For
• ICT‑style traders
• Liquidity and imbalance‑based strategies
• HTF bias mapping
• Scalpers who rely on HTF inefficiencies
• Swing traders looking for clean continuation or reversal zones
Inputs & Customization
• Enable/disable each timeframe independently
• Choose custom colors for bullish and bearish gaps
• Full control over which timeframes you want projected onto your chart
SMC: Multi-TF Bias & HTF BOS with SessionsOverview
The HTF BOS (Session) - Precision Lines is a comprehensive trading tool designed for Smart Money Concepts (SMC) and price action traders. It identifies Higher Timeframe (HTF) Break of Structure (BOS) levels while filtering them based on specific trading sessions. Additionally, it features a built-in Bias Dashboard that tracks trend alignment across three different timeframes to help you stay on the right side of the market.
Key Features
1. Precision HTF BOS Tracking
Unlike standard indicators that only mark the breakout candle, this script uses high-precision pivot detection to identify the exact origin of a structural high or low.
Tam Yapışık Çizgiler (Precise Lines): The BOS lines are drawn exactly from the pivot point to the breakout point, providing a clean and professional look on your chart.
HTF Integration: You can track structure from a higher timeframe (e.g., 4H) while trading on a lower timeframe (e.g., 15m or 5m).
2. Session Filtering (Time Sensitivity)
Structural breaks are most reliable when they happen during high-volume periods.
The script includes a Session Filter (London & New York).
If enabled, the indicator will only plot BOS levels that occur during your specified trading hours, helping you avoid "fake-outs" or noise during low-liquidity periods (Asian session/After-hours).
3. Multi-Timeframe Bias Dashboard
Stay aware of the "Big Picture" without constantly switching charts. The dashboard monitors three custom timeframes (e.g., Daily, 4H, 1H) and determines if the structure is Bullish or Bearish.
Strong Buy/Sell Signals: When all three timeframes align, the status cell highlights as "BUY" or "SELL."
Wait Status: If timeframes are in conflict, the dashboard suggests "WAIT," encouraging disciplined trading.
How to Use
Define Your Bias: Set your three Bias Timeframes in the settings to match your higher-level strategy.
Set Your BOS TF: Choose the timeframe you want structural breaks to be calculated from (usually one or two steps above your entry chart).
Adjust Sensitivity: Use the "Pivot Sensitivity" setting to filter between minor and major structural points.
Confirm with Session: Enable the session filter to ensure you are only trading breaks that occur during the NY or London sessions.
Settings
Bias Dashboard Settings: Customize the TFs and pivot sensitivity for trend analysis.
BOS & Session Settings: Set your target HTF for drawings and define your trading window (NY Timezone supported).
Visual Settings: Full control over colors (Bullish/Bearish), table positioning, and text sizes.
Darvas 52 Weeks High-Low current priceThe script in an info box has the following values:
* the price of the absolute high within the last 52 weeks and its distance in days
* the price of the absolute low within the last 52 weeks and its increase in % to date
* the current course
Variable are:
- the number of weeks
- the location of the infobox
- the font size of the info box
- the display of the current course
This script is for illustrative purposes only and does not make any trading recommendations.






















