High/Low Liquidation LevelsThe Visible High/Low Liquidation Levels indicator is designed to help traders better understand potential liquidation zones within a visible range on the chart. It does this by identifying dynamic high and low median price levels and plotting corresponding liquidation levels based on various leverage ratios.
This tool visually marks these critical zones, offering insight into areas where over-leveraged positions (such as x1, x2, x5, up to x100) are more likely to get liquidated, either above the recent low or below the recent high. This can support risk management and decision-making, especially in volatile markets.
Features:
Displays median high and low levels based on a configurable number of visible bars.
Plots liquidation levels above the low median and below the high median for multiple leverage tiers: x1, x2, x3, x5, x10, x25, x50, x75, x100.
Full customization over which leverage levels to show.
Color-coded lines for easy visual distinction.
Configurable bar range for calculating highs and lows separately.
Built-in legend table for clear reference to level color mappings.
Indicatori e strategie
Moving Average Price Deviation Spread
**Moving Average Price Deviation Spread (MA Dev)**
This indicator visualizes the deviation of price from its exponential moving average (EMA) and scales it within dynamic upper and lower bounds. The core logic measures the smoothed spread between price and EMA, then calculates standard deviation over a rolling window to define statistical thresholds.
* **Spread**: EMA of (Close - EMA), highlighting directional bias.
* **Upper/Lower Bounds**: EMA of ±1.96 \* standard deviation of the spread, framing high/low deviation zones.
* **Use Case**: Spot overextended conditions, mean reversion setups, or volatility-driven breakouts. Ideal for timing entries and exits around price extremes.
volume ADEL This script visually enhances candlestick charts by coloring both the candles and volume bars based on the relative strength of volume
EMA9/21 + Filtreler — SinyallerSignals after conditions confirmed
- EMA 9/21 cross
- EMA cross angle checking with ATR
- EMA 50 position check
- ADX > 25
- ATR checking
JUST ONE signal after cross
works with 1H and 4H periods
ORB-5Min with VWAP & EMAFirst 5-min ORB: Accurately captured from 09:15–09:20.
VWAP: Plotted live for the session, colored green.
EMA: Customizable period, plotted as a separate signal line.
Fill: Visual white fill between high and low range.
Elder Envelope V2Based on the public script by idu. (Elder Impulse System with AutoEnvelope combined by idu)
I enhanced it by adding:
- second set of envelope bands
-alerts for Short and Center EMAs cross
- fill between EMAs
I find this strategy good for swing trading on daily timeframes to determine overbought/oversold conditions. When stock is near 2nd upper band - take profits/short, when near lower -2nd band cover short/buy longs. Bull bear trend is determined by the short and long(center) emas cross. In rangebound flat trends gives false signals. Best edge is when near extremes of the bands.
Forex Algo-Trade ~ Ano_Jokamp354Forex Algo-Trade ~ Ano_Jokamp354
is a tool designed to assist traders around the world in analyzing the foreign exchange market, and even metals. By identifying the potential direction of future price movements, it helps you make more accurate trading decisions.
The developer of this tool is a young Indonesian trader known by the nickname Ano_Jokamp354 , who has been involved in the capital market since his school days.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
Stoch Quad Oscillator📘 Stoch Quad Oscillator – User Guide
✅ Purpose
The Stoch Quad Oscillator is a multi-timeframe stochastic oscillator tool that helps traders detect oversold and overbought conditions, momentum shifts, and quad rotation signals using four distinct stochastic configurations. It includes visual cues, customizable parameters, and background highlights to improve decision-making during trend reversals or momentum surges.
🛠️ Inputs & Parameters
⏱ Timeframe
Timeframe for Stochastic Calculation: Defines which chart timeframe to use for stochastic calculations (default is "1" minute). This enables multi-timeframe analysis while on a lower timeframe chart.
📈 Stochastic Parameters
Four different stochastic configurations are used:
Label %K Length %D Smoothing Notes
K9 D3 9 3 Fastest, short-term view
K14 D3 14 3 Moderately short-term
K40 D4 40 4 Medium-term trend view
K60 D10 60 10 Long-term strength
Smoothing Type: Choose between SMA or EMA to control how smoothed the %D line is.
🎯 Levels
Overbought Level: Default 80
Oversold Level: Default 20
These are used to indicate overextended price conditions on any of the stochastic plots.
🔄 Quad Rotation Detection Settings
When enabled, the script detects synchronized oversold/overbought conditions with strong momentum using all 4 stochastic readings.
Enable Quad Rotation: Toggles detection on or off
Slope Calculation Bars: Number of bars used to calculate slope of %D lines
Slope Threshold: Minimum slope strength for signal (higher = stronger confirmation)
Oversold Quad Level: Total of all four stochastic values that define a quad oversold zone
Overbought Quad Level: Total of all four stochastic values that define a quad overbought zone
Oversold Quad Highlight Color: Background color when oversold quad is triggered
Overbought Quad Highlight Color: Background color when overbought quad is triggered
Slope Averaging Method: Either Simple Average or Weighted Average (puts more weight on higher timeframes)
Max Signal Bar Window: Defines how recent the signal must be to be considered valid
📊 Plots & Visual Elements
📉 Stochastic %D Lines
Each stochastic is plotted separately:
K9 D3 – Red
K14 D3 – Orange
K40 D4 – Fuchsia
K60 D10 – Silver
These help visualize short to long-term momentum simultaneously.
📏 Horizontal Reference Lines
Overbought Line (80) – Red
Oversold Line (20) – Green
These help you identify threshold breaches visually.
🌈 Background Highlighting
The indicator provides background highlights to mark potential signal zones:
✅ All Oversold or Overbought Conditions
When all four stochastics are either above overbought or below oversold:
Bright Red if all are overbought
Bright Green if all are oversold
🚨 Quad Rotation Signal Zones (if enabled)
Triggered when:
The combined sum of all four stochastic levels is extremely low/high (below/above oversoldQuadLevel or overboughtQuadLevel)
The average slope of the 4 %D lines is sharply positive (> slopeThreshold)
Highlights:
Custom Red Tint = Strong overbought quad signal
Custom Green Tint = Strong oversold quad signal
These zones can indicate momentum shifts or reversal potential when used with price action or other tools.
⚠️ Limitations & Considerations
This indicator does not provide trade signals. It visualizes conditions and potential setups.
It is best used in confluence with price action, support/resistance levels, and other indicators.
False positives may occur in ranging markets. Reduce reliance on slope thresholds during low volatility.
Quad signals rely on slope strength, which may lag slightly behind sudden reversals.
🧠 Tips for Use
Combine with volume, MACD, or PSAR to confirm direction before entry.
Watch for divergences between price and any of the stochastics.
Use on higher timeframes (e.g., 5m–30m) to filter for swing trading setups; use shorter TFs (1m–5m) for scalping signals.
Adjust oversoldQuadLevel and overboughtQuadLevel based on market conditions (e.g., in trending vs ranging markets).
VWMA/EMA Crossover with Volume SignalVWMA Cross over EMA with buy sell signals and Strong buy sell signals. Works well with short term charts.
Vector Candles [v6 Optimized + EMA]
Vector Candles represent an innovative technical analysis approach that transforms traditional candlestick charting by integrating volume dynamics, color-coded momentum, and multi-dimensional market insights. Unlike standard candlesticks that merely display price movement, Vector Candles encode additional market information through sophisticated color and volume algorithms.
Key Features:
-Dynamic Volume-Based Coloring: Candles change color based on trading volume intensity
-Volume Categories:
High Volume (Lime/Red): Significant market activity (200%+- Vol of Previous 10 Candles)
Above Average Volume (Blue/Fuchsia): Moderate market momentum (150%+- Vol of Previous 10 Candles).
Normal Volume (Gray Scales): Standard market conditions.
Stopping Volume Candles - Typically Pinbar/Doji candles. Stops volume in the current direction of delivery & can help forecast impending reversals or end to the current trend.
-Integrated EMA (Exponential Moving Average) Option:
-Customizable EMA Length (Default: 50 periods) (I use 33)
Configurable EMA Source (e.g., close price)
Optional EMA Overlay for Trend Confirmation
Relative Performance Spread**Relative Performance Spread Indicator – Overview**
This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**.
### **How It Works**
* **Input**: Select a second stock (`ticker2`) and a moving average window.
* **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`.
* **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming.
* **AUC**: Cumulative spread over time shows prolonged dominance or underperformance.
* **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes.
### **Usage**
* **Plot Type Options**:
* `"Spread"`: Spot outperformance; crossing bands may signal rotation.
* `"AUC"`: Track long-term relative trend dominance.
* `"Normalized"`: Directly compare scaled price movements.
Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
OrderFlow Sentiment SwiftEdgeOrderFlow Sentiment SwiftEdge
Overview
OrderFlow Sentiment SwiftEdge is a visual indicator designed to help traders analyze market dynamics through a simulated orderbook and market sentiment display. It breaks down the current candlestick into 10 price bins, estimating buy and sell volumes, and presents this data in an orderbook table alongside a sentiment row showing the buy vs. sell bias. This tool provides a quick and intuitive way to assess orderflow activity and market sentiment directly on your chart.
How It Works
The indicator consists of two main components: an Orderbook Table and a Market Sentiment Row.
Orderbook Table:
Simulates buy and sell volumes for the current candlestick by distributing total volume into 10 price bins based on price movement and proximity to open/close levels.
Displays the price bins in a table with columns for Price, Buy Volume, and Sell Volume, sorted from highest to lowest price.
Highlights the current price level in orange for easy identification, while buy and sell dominance is indicated with green (buy) or red (sell) backgrounds.
Market Sentiment Row:
Calculates the overall buy and sell sentiment (as a percentage) for the current candlestick based on the simulated orderflow data.
Displays the sentiment above the orderbook table, with the background colored green if buyers dominate or red if sellers dominate.
Features
Customizable Colors: Choose colors for buy (default: green), sell (default: red), and current price (default: orange) levels.
Lot Scaling Factor: Adjust the volume scaling factor (default: 0.1 lots per volume unit) to simulate realistic lot sizes.
Table Position: Select the table position on the chart (Top, Middle, or Bottom; default: Middle).
Default Properties
Positive Color: Green
Negative Color: Red
Current Price Color: Orange
Lot Scaling Factor: 0.1
Table Position: Middle
Usage
This indicator is ideal for traders who want to visualize orderflow dynamics and market sentiment in real-time. The orderbook table provides a snapshot of buy and sell activity at different price levels within the current candlestick, helping you identify areas of high buying or selling pressure. The sentiment row offers a quick overview of market bias, allowing you to gauge whether buyers or sellers are currently dominating. Use this information to complement your trading decisions, such as identifying potential breakout levels or confirming trend direction.
Limitations
This indicator simulates orderflow data based on candlestick price movement and volume, as TradingView does not provide tick-by-tick data. The volume distribution is an approximation and should be used as a visual aid rather than a definitive measure of market activity.
The indicator operates on the chart's current timeframe and does not incorporate higher timeframe data.
The simulated volumes are scaled using a user-defined lot scaling factor, which may not reflect actual market lot sizes.
Disclaimer
This indicator is for informational purposes only and does not guarantee trading results. Always conduct your own analysis and manage risk appropriately. The simulated orderflow data is an estimation and may not reflect real market conditions.
Cumulative Volume: Today vs YesterdayCumulative Volume: Today vs Yesterday. It is useful for intraday trades in stocks.
Mirrored Buy/Sell Volume + Cumulative DeltaUser Guide: Mirrored Buy/Sell Volume (Histogram)
🔍 What It Does
Displays green bars above zero for estimated buy volume
Displays red bars below zero for estimated sell volume
Adds a blue line showing Cumulative Delta (buy − sell over time)
Optional threshold lines help spot when net momentum builds up
📊 How Volume is Estimated
Same estimation method as the table version:
Buy Volume is proportion of volume estimated using (close - low) / (high - low)
Sell Volume is remainder of the total volume
Cumulative Delta = running total of (Buy − Sell) volume
This gives you:
A real-time sense of which side is gradually gaining control
More context than looking at candles or volume bars alone
✅ Best For
Visual trade decision support: who’s winning the tug-of-war?
Spotting trend initiation or momentum shifts
Combining with oscillator/trend tools for confirmation
⚠️ Limitations
Still an approximation — not based on actual trade aggressor data
Cannot separate passive vs. aggressive orders
Cumulative Delta does not reset unless specifically coded to do so
May mislead if the bar has long wicks or closes near midpoint
Multi-VP POC Divergence AlertThis is a very effective POC divergence alert system I've used—hope it helps you too.
Float & Daily % Change (Open vs Now)This will provide a label (default is bottom left of chart) and show float from the TradingView key stats, % change from previous day and on open.
Crazy LayoutA text box with the ticker, date, and timeframe appears in the bottom right corner of the chart.
There are two text lines in the top right corner of the chart that can be customized.
Color and size can be changed.
Momentum (80) + ATR (14)his indicator combines two essential technical analysis tools in a single panel for enhanced market insight:
🔹 Momentum (80 periods): Measures the difference between the current price and the price 80 bars ago. Displayed as a semi-transparent filled area, it helps to visually identify shifts in price momentum over a longer timeframe.
🔸 ATR (Average True Range, 14 periods): Shown as a fine orange line, the ATR represents average market volatility over 14 periods, highlighting phases of calm or increased price fluctuations.
By viewing both momentum and volatility simultaneously, traders can better assess trend strength and market conditions, improving decision-making across assets such as stocks, forex, and cryptocurrencies.
✅ Suitable for all asset types
✅ Complements other indicators like RSI, MACD, and Bollinger Bands
✅ Categorized under Momentum & Volatility indicators
My script//@version=5
strategy("15-Min EMA + RSI Pullback Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === INPUTS ===
emaShort = input.int(9, title="EMA Short")
emaLong = input.int(21, title="EMA Long")
rsiPeriod = input.int(14, title="RSI Period")
rsiBuyThresh = input.int(40, title="RSI Buy Threshold")
rsiSellThresh = input.int(60, title="RSI Sell Threshold")
sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1)
tp_pct = input.float(2.0, title="Take Profit %", minval=0.1)
// === CALCULATIONS ===
emaFast = ta.ema(close, emaShort)
emaSlow = ta.ema(close, emaLong)
rsi = ta.rsi(close, rsiPeriod)
// === CONDITIONS ===
// Long setup
bullTrend = emaFast > emaSlow
pullbackLong = close > emaSlow and close < emaFast
rsiLongCond = rsi > rsiBuyThresh
bullSignal = bullTrend and pullbackLong and rsiLongCond
// Short setup
bearTrend = emaFast < emaSlow
pullbackShort = close < emaSlow and close > emaFast
rsiShortCond = rsi < rsiSellThresh
bearSignal = bearTrend and pullbackShort and rsiShortCond
// === ENTRIES ===
if bullSignal
strategy.entry("Long", strategy.long)
strategy.exit("TP/SL Long", from_entry="Long", stop=close * (1 - sl_pct / 100), limit=close * (1 + tp_pct / 100))
if bearSignal
strategy.entry("Short", strategy.short)
strategy.exit("TP/SL Short", from_entry="Short", stop=close * (1 + sl_pct / 100), limit=close * (1 - tp_pct / 100))
// === PLOT INDICATORS ===
plot(emaFast, color=color.orange, title="EMA 9")
plot(emaSlow, color=color.blue, title="EMA 21")