Fractal High/Low/Mid MTF (3 Timeframes)Multi Time Frame Fractal High/Low/Midlines
Note:
No guarantee or warranty. Use at your own risk. Happy trading.
Indicadores e estratégias
Relative Strength Heat [InvestorUnknown]The Relative Strength Heat (RSH) indicator is a relative strength of an asset across multiple RSI periods through a dynamic heatmap and provides smoothed signals for overbought and oversold conditions. The indicator is highly customizable, allowing traders to adjust RSI periods, smoothing methods, and visual settings to suit their trading strategies.
The RSH indicator is particularly useful for identifying momentum shifts and potential reversal points by aggregating RSI data across a range of periods. It presents this data in a visually intuitive heatmap, with color-coded bands indicating overbought (red), oversold (green), or neutral (gray) conditions. Additionally, it includes signal lines for overbought and oversold indices, which can be smoothed using RAW, SMA, or EMA methods, and a table displaying the current index values.
Features
Dynamic RSI Periods: Calculates RSI across 31 periods, starting from a user-defined base period and incrementing by a specified step.
Heatmap Visualization: Displays RSI strength as a color-coded heatmap, with red for overbought, green for oversold, and gray for neutral zones.
Customizable Smoothing: Offers RAW, SMA, or EMA smoothing for overbought and oversold signals.
Signal Lines: Plots scaled overbought (purple) and oversold (yellow) signal lines with a midline for reference.
Information Table: Displays real-time overbought and oversold index values in a table at the top-right of the chart.
User-Friendly Inputs: Allows customization of RSI source, period ranges, smoothing length, and colors.
How It Works
The RSH indicator aggregates RSI calculations across 31 periods, starting from the user-defined Starting Period and incrementing by the Period Increment. For each period, it computes the RSI and determines whether the asset is overbought (RSI > threshold_ob) or oversold (RSI < threshold_os). These states are stored in arrays (ob_array for overbought, os_array for oversold) and used to generate the following outputs:
Heatmap: The indicator plots 31 horizontal bands, each representing an RSI period. The color of each band is determined by the f_col function:
Red if the RSI for that period is overbought (>threshold_ob).
Green if the RSI is oversold (
Primitive Delta DivergencePrimitive Delta Divergence
This indicator detects volume-price divergences by analyzing the relationship between price direction and volume bias over a rolling lookback period, revealing potential momentum shifts before they become apparent in price action alone.
Instead of relying solely on price movements, you can identify moments when volume sentiment contradicts price direction — a core concept borrowed from footprint chart analysis, adapted for traditional bar charts.
For example, when price moves higher but volume is predominantly bearish, or when price declines while volume shows bullish accumulation.
🔹 How it works
Lookback Period (n) → defines the rolling window for analyzing price and volume relationships
Creates a "meta-candle" from the lookback period, comparing its open vs. close for price bias
Volume classification → separates each bar's volume into bullish (green candles), bearish (red candles), or neutral (doji candles)
Volume bias calculation → generates a continuous score (-1 to +1) representing the directional volume pressure
Plots divergence signals when price direction and volume bias disagree
🔹 Use cases
Spot early momentum exhaustion when price and volume move in opposite directions
Identify potential reversal zones where volume suggests underlying weakness or strength
Enhance entry/exit timing by incorporating volume-based confirmation alongside price action
Apply footprint-style analysis to any timeframe without specialized charting tools
✨ Primitive Delta Divergence reveals the hidden story volume tells about price, uncovering divergences that traditional indicators might miss.
PINAKI__RSI M/W/D/H/15 (Top Right, Padding)display monthly, weekly, daily, 1Hr, 15Min RSI in single frame
Traders Reality MT4 Sessions V2Bigger project for near future
Added option to adjust table size.
visit tradersreality.com for all information
original creators is mentioned in code
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow.
🟩🟥 Imbalance boxes: “Crowd rushed, gaps left”
What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited.
Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops.
⏩How to use:
Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points.
↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?”
What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias.
Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns.
⏩How to use:
Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering.
🧱Order blocks: “Where big players remember”
What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines.
Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase.
⏩ How to use:
Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry.
📊Volume coloring: “How Volume is move?”
What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.”
Why it helps: Patterns without volume often fade; volume validates strength and intent of moves.
⏩ How to use:
Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip.
🧲 BSL/SSL liquidity pools: “Fishing for stops”
What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”).
Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location.
⏩ How to use:
Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on.
🟢🔴 Advanced liquidity grab: “Catch fakeout”
What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically.
Why it helps: It exposes trap moves (stop hunts) and often precedes true direction.
⏩ How to use:
Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick.
🧠 Smart candlestick patterns (only in right place)
What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees.
Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal.
⏩ How to use:
Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean.
🧭 Dashboard: “Context in a glance”
⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning.
⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction.
⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there.
🧩Step-by-step trading flow (with mindset)
⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation.
⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time.
⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO.
⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume.
⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2.
Bearish: mirror above.
⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion.
🎛️ Parameter tuning (to reduce human error)
⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live.
⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%.
⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools.
❌Common mistakes → ✅ Better habits
⏩Chasing every breakout → Wait for sweep/rejection, then confirm.
⏩Ignoring volume → Validate strength; cut size or skip on weak volume.
⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded).
⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance.
📝 checklist (before entry)
⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there?
⏩ Is there a close imbalance/OB that price can retest?
⏩ Do we have an effective pattern plus supportive volume?
⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5?
•?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Dips & Rips — OVERLAY (Triangles on Price Only, size fixed)This script calculates extreme dips (blue triangle) or rips (yellow triangle) as likely reversal points, with confirmation long (green triangles) and short (red triangles) triggers occurring on subsequent RSI divergences.
Momentum Signals – Real-time (Repainting)This indicator generates real-time BUY/SELL signals using a confluence of VWMA trend, 3-bar momentum, and volume, then filters them by a strength score.
⚠️ **WARNING:** This version **repaints**; signals can appear and disappear before the bar closes.
Momentum Signals – Real-time (Repainting)This indicator generates real-time BUY/SELL signals using a confluence of VWMA trend, 3-bar momentum, and volume, then filters them by a strength score.
⚠️ WARNING: This version repaints; signals can appear and disappear before the bar closes.
Indian market session on Gift Nifty chartsGift Nifty Market Session Highlighter
This indicator highlights the official Indian market session on Gift Nifty charts — from 9:15 AM to 3:30 PM IST. It shades the background during this time window so traders can instantly identify when the local market is open.
Features:
Marks 9:15 AM to 3:30 PM (IST) session on intraday charts.
Adjustable highlight color and transparency.
Works seamlessly across lower timeframes (1m, 5m, 15m, etc.).
Helps traders align Gift Nifty activity with NSE market hours.
Use Cases:
Quickly distinguish active market hours from overnight or global sessions.
Backtest trading strategies specific to Indian session volatility.
Improv
e focus on expiry-day setups and intraday opportunities.
Disclaimer:
This tool is provided for educational and informational purposes only. It is not financial advice, nor does it guarantee trading success. Always do your own research and consult a licensed financial professional before making investment decisions.
Candle Range Theory 4H Blocks (New York Time)This is a script to those who mess up the CRT, Candle Range Theory, times to trade Forex and CFDs. It is simple and effective.
Ribbon — multi-MA trend bandsRibbon paints five translucent bands between six moving averages to visualize trend structure and regime at a glance. You can choose the MA type (EMA/SMA/WMA), customize lengths, and switch the coloring logic between an anchor-based mode and strict alignment.
What it shows
Six MAs on the current timeframe (defaults: 5 / 34 / 55 / 89 / 144 / 233).
Five bands filled between consecutive MAs:
5–34, 34–55, 55–89, 89–144, 144–233.
Optional plotting of MA lines (hidden by default to keep the chart clean).
Coloring modes
1. By EMA233 (Anchor mode)
Each band is colored Up or Down by comparing its upper MA to the anchor (the 6th MA in inputs, default length 233).
If MA > anchor → Up color (supportive regime).
If MA < anchor → Down color (resistive regime).
2. By Alignment
All bands share one color depending on strict ordering:
Up if MA1 > MA2 > MA3 > MA4 > MA5 > MA6
Down if MA1 < MA2 < MA3 < MA4 < MA5 < MA6
Gray otherwise (no clean alignment).
Inputs (key)
MA Type : EMA / SMA / WMA (applies to all six MAs).
MA 1…MA 6 (anchor) : lengths for each average (defaults form a classic ribbon up to 233).
Up/Down colors : band palette.
Base transparency / step : controls band opacity gradient (top band uses Base, each next band adds Step).
Show MA lines + Lines transparency : optionally draw the six MA curves.
How to read it
Directional bias : when most bands are green (anchor mode) or the whole ribbon is green (alignment mode), momentum favors the upside; red implies downside pressure.
Quality of trend : a persistent alignment (all ordered) signals a cleaner trend. Mixed/gray suggests chop or transition.
Pullback zones : price returning toward inner bands can mark areas to watch for continuation vs. failure.
Implementation notes
No higher-timeframe data, no lookahead — this is a non-repainting, current-TF visualization.
Bands still render even when MA lines are hidden (the script uses hidden plot anchors under the hood).
This is an indicator , not a strategy — it does not open/close trades or calculate P&L.
Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Always test on historical data and manage risk appropriately.
CALL/PUT: Arranque Seguro (MACD + EMA35) + Toggles.sugindicador usado para trabajar con opciones calls y puts
BornInvestor MA CloudsBornInvestor MA Clouds
The BornInvestor MA Clouds script is a powerful, multi-layered moving average cloud system designed to help traders visualize market trends, momentum shifts, and crossover signals in a clear, intuitive way.
🔑 Features
Up to 5 customizable MA Clouds
Choose between SMA or EMA for each moving average.
Flexible input sources (Close, Open, High, Low, etc.).
Adjustable lengths for full control over short-, medium-, and long-term trend analysis.
Dynamic Cloud Coloring
Clouds automatically change color to reflect bullish or bearish momentum.
Customizable transparency and color schemes for each cloud.
Crossover Signals
Visual triangle markers appear when faster MAs cross above/below slower MAs.
Bullish crossovers are shown below bars, bearish crossovers above bars.
Alerts Ready 🚨
Built-in alert conditions for bullish and bearish crossovers (Cloud 1).
Alerts trigger once per bar for cleaner signals.
Clean Visuals
Option to show/hide individual MA lines.
Lightweight design optimized for clarity on any chart.
📊 How to Use
Clouds act as dynamic support/resistance zones. Price above the cloud signals bullish momentum, while price below the cloud signals bearish conditions.
Crossover signals help identify potential trend reversals or entry points.
Use multiple clouds (short, medium, long-term) for multi-timeframe confluence.
⚠️ Disclaimer
This script is for educational purposes only and not financial advice. Always combine with your own research and risk management before trading.
Average Daily Range TrackerAverage Daily Range Tracker
This indicator helps you measure volatility in real time by tracking the Average Daily Range (ADR) and comparing it to the current day’s price action.
🔑 Features
Calculates the ADR over a user-defined lookback period (default = 14 days).
Displays today’s developing range (High–Low) as the session unfolds.
Shows what % of the ADR has already been consumed intraday.
Visual progress bar makes it easy to see how close today is to its historical average range.
Optional ADR plot available in a separate pane.
📈 How traders use it
Spot when a market has already made its “typical” daily move.
Adjust intraday trade expectations: avoid chasing after the bulk of the move is done.
Use % of ADR consumed as a volatility filter for setups.
Combine with support/resistance to identify exhaustion zones.
⚙️ Customization
Lookback length for ADR calculation.
Progress bar size and color.
Optional toggle to plot ADR in its own panel.
MTF Last Closed Highs & LowsThis indicator plots the most recent closed high and low levels from multiple timeframes (4H, Daily, Weekly, Monthly, etc.) directly on your chart. It helps traders quickly spot key support and resistance zones, track market structure across different timeframes, and identify breakout or reversal opportunities.
EMA–VWAP Strategy (Confirmed crosses, 1 trade/cross)Wait for 10 and 20 ema to cross
Buy between 10 and 20
wait for 20 and 50 to cross
buy at vwap
10/20/50 ema and vwap is plotted
Whale Fractal Levels (V1.0)What it does
This indicator plots Fractal Levels (Bill Williams pivots) as horizontal lines and prints clean signals for:
BO+ / BO− → Breakouts through the latest fractal high/low
SW↑ / SW↓ → Liquidity sweeps (wick pierces, close rejects)
RE+ / RE− → Retests of the broken level after a confirmed breakout
Cyan = support (fractal lows).
Lilac = resistance (fractal highs).
How it works
Detects fractals with Left/Right = lr. A pivot is confirmed after lr bars on the right → the level itself doesn’t repaint.
Each confirmed fractal spawns a horizontal line extended to the right. You can limit how many lines stay on chart and auto-expire old ones.
Signals reference the most recent fractal high/low only and are edge-triggered (crossover/crossunder) with a cooldown so you don’t get a marker on every bar near the level.
A small state machine remembers the last breakout to validate the next retest.
Inputs (Settings)
Fractals
Left/Right (BW fractal) — Sensitivity of pivots (lower = more reactive, higher = cleaner).
MAX number of levels to display — Keep only the most recent N lines.
Level lifetime (bars) — Auto-delete lines after N bars to declutter.
Signals
Cooldown between signals (bars) — Minimum spacing between markers (anti-spam).
Show Breakouts (BO±) — Toggle breakout markers.
Show Sweeps (SW↑/SW↓) — Toggle sweep markers.
Show Retests (RE±) — Toggle retest markers.
Display
Show fractal lines / Line width / Line transparency (0..100)
Alerts (ready to use)
BO+ (Fractal), BO- (Fractal)
SW↑ (Fractal), SW↓ (Fractal)
RE+ (Fractal), RE- (Fractal)
Pullback Entry Alert (8ema/21ema/50ma/200ma)8ema, 21ema, 50MA, and 200MA alert for pullback buy entries
KCandle/Boost con Filtro EMA e 75%- Engulfing candle filtered with a custom EMA.
- 75% of the candle is plotted on the right.
Price vs SMAThis indicator displays the current price in percentage terms, indicating whether it is above or below a selected simple moving average (SMA). It’s designed to be clean and minimal, with the option to display a brief sentence on the chart for added clarity.
The script calculates the distance between the current price and a chosen simple moving average (SMA) and expresses that distance as a percentage. By default, it uses the 200-period SMA, but you can adjust the length to any value, such as 50 or 100, depending on your trading style. A positive percentage means price is trading above the SMA, while a negative percentage means it is below.
The percentage difference is rounded to whole numbers and can be displayed directly in the chart legend if the “Indicator values” box is checked in the TradingView settings. This keeps the chart clean while still providing at-a-glance information about the price relative to your selected moving average.
For extra clarity, the script also includes an option to display a short sentence on the chart itself. This sentence will read “Price is x% above SMA” in green when price is above the SMA, or “Price is x% below SMA” in red when price is below. This visual cue makes it easy to interpret the relationship between price and the moving average without adding clutter.
Scalping, Swing Pro: Urban Towers + Bollinger(0.5)+ WMA by KidevThis indicator combines narrow Bollinger Bands (σ = 0.5) with a Weighted Moving Average (WMA-96) to provide traders with a reliable framework for identifying both short-term scalps and medium-term swing setups.
Bollinger Bands (0.5σ):
Traditional Bollinger Bands at 2σ cover ~95% of price movement, while 0.5σ bands narrow the focus to ~50% of price activity. This tighter structure makes them ideal for detecting volatility contractions, consolidations, and early breakout signals.
WMA-96 as Trend Reference:
The 96-period WMA acts as a slower, more stable directional guide. Unlike shorter WMAs, this longer setting filters noise and serves as a reference line for the dominant trend. Traders can use it as an anchor for intraday or swing positions.
Scalping & Swing Benefits:
Price holding above the WMA-96 while staying near the upper 0.5σ band often signals strength.
Contractions (squeezes) in the 0.5σ band followed by expansion frequently mark breakout zones.
Pullbacks toward the WMA-96 combined with band signals can act as re-entry or risk-defined trade areas.
This script provides a balanced view of momentum and stability — the 0.5σ bands reveal short-term volatility shifts, while the WMA-96 grounds the trader in the prevailing trend.