Session HeatmapIntraday Seasonality
Overview
Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest.
Features
Multiple Metrics: TR (volatility), Volume, and Open Interest changes
Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects
Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition
Percentile Mode: Reduces outlier impact by using 5th-95th percentile range
Timezone Support: Display in UTC alongside your local time
Metrics Explained
TR: Volatility - when markets move most
Volume: Liquidity - when participation is highest
OI Increase: When new positions are opened
OI Decrease: When positions are closed
OI Net: Net open interest change
Usage
Set your timezone and preferred slot size (30min/1H)
Choose a date range (relative or custom)
Select a metric to analyze
Use "Group By" to see weekday or monthly patterns
Switch to Percentile color scale if outliers dominate
Notes
Chart timeframe should be equal to or smaller than Slot Size
OI metrics require Binance Perpetual symbols
DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
Chỉ báo và chiến lược
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy.
This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages.
1. Trend direction (EMA 200 – pink)
The 200 EMA acts as the long-term trend filter.
Price above the 200 EMA suggests a bullish market bias.
Price below the 200 EMA suggests a bearish market bias.
Many traders avoid taking trades against this higher-timeframe direction.
2. Momentum and trade bias (EMA 20 – blue)
The 20 EMA reflects short-term momentum.
When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries.
In downtrends, the 20 EMA frequently acts as dynamic resistance.
3. Entry timing (EMA 8 – yellow)
The 8 EMA is a fast reaction line used for precise timing.
Crosses of the 8 EMA over the 20 EMA can signal momentum shifts.
Strong trends often show price holding above (or below) the 8 EMA during impulse moves.
4. Confluence and trade filtering
The indicator works best when the EMAs are aligned:
Bullish alignment: EMA 8 > EMA 20 > EMA 200
Bearish alignment: EMA 8 < EMA 20 < EMA 200
Misaligned EMAs usually indicate consolidation or low-probability conditions.
5. Risk management context
EMAs can act as dynamic support and resistance:
Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon.
Loss of EMA structure is a warning sign that the trend may be weakening.
In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
CRT+ Advance Engulfing | @stefandimovCRT+ Lite implements institutional-style Candle Range Theory logic to identify displacement-driven engulfing structures with precision.
The script focuses on wick-based liquidity grabs, strict body closes, and optional higher-timeframe confirmation to highlight structurally valid bullish and bearish reversals.
Includes a Daily-only multi-market scanner and a compact dashboard for fast top-down analysis.
Designed for traders who prioritize structure, execution precision, and HTF alignment.
My RSI Fib Range Cloud//SOLO900q99This is basically the close price, optionally “stepped” if you set Bars Per Sample > 1.
2. Central Threshold Band (colored line)
• This is an EMA of the resampled price (default length 34).
• It turns:
• Green when RSI is in bullish fib zones,
• Pink when RSI is in bearish fib zones,
• Grey when RSI is in the middle/neutral area.
3. Sigma Range High (green line) and Sigma Range Low (pink line)
• These are an upper and lower band around price.
• The distance from price is based on how much price has been moving recently (average change).
Multi-Trend + Credit Risk DashboardHello This is showing 20,50,200 as well as some other useful indicators. hope you like it, its my first! D and P is discount or premium to nav
HydraBot v1.2 publicenglish description english description english description english description english description english description english description english description english description
Sustained 200 SMA Cross (Locked to Daily)For individuals looking to track trend changes against the 200 day simple moving average. We are measuring 5 consecutive days changing from the above or below the 200 day SMA as a flag for a potential shift in trend.
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Rainbow MA Width█ OVERVIEW
Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history.
█ CONCEPTS
Z-Score Normalization:
Rather than displaying raw width values (which vary by asset and timeframe),
this indicator normalizes the ribbon width using Z-Score calculation:
Z-Score = (Current Width - Average Width) / Standard Deviation
Z-Score Interpretation:
• 0 = Average width (mean)
• +1 to +2 = Expanding (above average, strong trend)
• -1 to -2 = Contracting (below average, weakening trend)
• Beyond ±2 = Extreme (statistical outlier, potential reversal)
Width Calculation Modes:
• Outer — Distance between fastest and slowest MA: |MA1 - MA8|
• Average Gap — Mean of all adjacent MA gaps
• Total Gap — Sum of all adjacent MA gaps
█ FEATURES
1 — Width Mode Selection
Three methods to calculate ribbon width.
"Outer" recommended for aligned trends.
2 — Z-Score Period
Configurable lookback for mean and standard deviation.
Default 20 bars; increase for smoother, less reactive readings.
3 — Zone Fill Coloring
Cyan fill when expanding (Z > 0).
Orange fill when contracting (Z < 0).
Yellow fill for extreme values (|Z| > 2) as warning.
4 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Synced with Rainbow MA Cloud for consistency.
5 — Reference Lines
Horizontal lines at 0 (mean), ±1σ, and ±2σ levels.
Provides clear visual boundaries for interpretation.
6 — Raw Width Display
Optional secondary line showing original width percentage.
Useful for comparing normalized vs absolute values.
█ HOW TO USE
Trend Confirmation:
• Z-Score rising above 0 confirms trend acceleration
• Z-Score staying above +1 indicates sustained strong momentum
• Use alongside alignment background for confluence
Reversal Warning:
• Z-Score exceeding +2 suggests overextension (yellow warning zone)
• Z-Score dropping below -2 indicates extreme contraction
• Extreme readings often precede trend reversals or consolidation
Entry Timing:
• Enter trends when Z-Score crosses above 0 (expansion beginning)
• Avoid entries when Z-Score is at extreme highs (potential exhaustion)
• Consider exits when Z-Score peaks and begins declining
█ LIMITATIONS
• Z-Score is relative to lookback period; different periods give different readings
• Extreme zones (±2) are statistical guides, not guarantees
• Best used in conjunction with Rainbow MA Cloud for full context
█ ALERTS
Four built-in alert conditions:
• Z-Score crosses above/below zero
• Z-Score enters extreme high/low zones (±2)
Delta Grid Delta Grid H/L/C (Approx)
Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart.
Instead of guessing what happened inside a candle, this indicator shows you:
Delta High – the maximum aggressive buying reached within the bar
Delta Low – the maximum aggressive selling reached within the bar
Delta Final – where delta closed when the candle finished
All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior.
How It Works
This indicator approximates intrabar delta by:
Aggregating lower-timeframe volume
Classifying volume direction based on price movement
Tracking the running delta inside each candle
Recording the highest, lowest, and final delta values per bar
A heat-mapped background is applied to the Final Delta column:
Green shades = net aggressive buying
Red shades = net aggressive selling
Brighter colors = stronger imbalance relative to recent bars
Key Features
Stand-alone Delta Grid panel below the chart
Per-bar Delta High / Delta Low / Delta Final
Heat-mapped Final Delta for fast visual interpretation
Optional time column for precise bar reference
Adjustable lookback and scaling settings
Clean layout designed for futures, crypto, and index trading
How Traders Use It
This tool is ideal for:
Spotting absorption at highs and lows
Identifying failed breakouts and traps
Confirming trend strength or exhaustion
Reading order-flow shifts without footprint charts
Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure
Important Notes
This is an approximate delta calculation due to TradingView data limitations.
It does not use true bid/ask volume.
For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required.
Recommended Settings
Use a lower timeframe (1s–15s if available) for better intrabar accuracy
Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
Candle Microstructure ClassifierCandle Microstructure Classifier
Public Description
The Candle Microstructure Classifier is a visual study designed to highlight meaningful single-candle behaviors based purely on price geometry. It classifies candles according to body size and wick structure, helping traders visually identify moments of aggression, commitment, failed pushes, and rejection directly on the price chart.
This script is a study only. It does not generate trade signals, entries, exits, or forecasts. Its purpose is to provide structural context that can be combined with other tools such as trend, volume, or volatility analysis.
Quantitative Description
Each candle is decomposed into its geometric components relative to its total range (high − low). All classifications are based on normalized fractions to remain scale‑independent across instruments and timeframes.
Definitions:
1. Candle Range (R):
R = High − Low
2. Body Size (B):
B = |Close − Open|
Body Fraction = B / R
3. Upper Wick (UW):
UW = High − max(Open, Close)
Upper Wick Fraction = UW / R
4. Lower Wick (LW):
LW = min(Open, Close) − Low
Lower Wick Fraction = LW / R
Candle Classifications:
• Commitment Candle:
Body Fraction ≥ Large Body Threshold
Upper Wick Fraction ≤ Tiny Wick Threshold
Lower Wick Fraction ≤ Tiny Wick Threshold
Interpretation: Strong directional acceptance with minimal intrabar rejection.
• Marubozu (Aggression):
Body Fraction ≥ Large Body Threshold
One wick effectively absent (near zero)
Interpretation: Pure directional aggression with no meaningful counter‑pressure.
• Trend Attempt Failure:
Body Fraction ≥ Large Body Threshold
One wick large, opposite wick small
Interpretation: Strong push followed by immediate rejection on one side.
• Rejection Candle:
Body Fraction ≤ Small Body Threshold
Upper Wick Fraction ≥ Large Wick Threshold
Lower Wick Fraction ≥ Large Wick Threshold
Interpretation: Two‑sided rejection indicating price discovery or balance.
• Pin Rejection (optional):
Body Fraction ≤ Small Body Threshold
Only one wick large
Interpretation: One‑sided rejection often occurring near support or resistance.
Notes and Context
This classifier intentionally avoids pattern names tied to prediction. Each classification describes observed auction behavior inside a single bar, not an expectation of future movement.
Sources and Further Reading
Candle structure and wick interpretation:
• Investopedia – Candlestick Patterns and Anatomy
www.investopedia.com
Volume and volatility context examples:
• Wyckoff Method – Effort vs Result (Volume + Price Structure)
school.stockcharts.com
• CME Group – Using Volume and Volatility Together
www.cmegroup.com
Example Applications:
1. A commitment candle occurring simultaneously with a volume spike may indicate institutional participation and acceptance at that price level.
2. A rejection candle forming during elevated volatility (ATR expansion) may signal failed price discovery and potential mean reversion zones.
VP + Fib + AVWAP + Graded Signals An indicator for the discretionary trader
Avwap, Fib and VP is all you need.
Graded signals for conviction.
HAR Volatility ATR v1.0 (Andreus Villalobos)
Indicator based on the HAR (Hyper-Realized Volatility) model.
Combines daily, weekly, and monthly ATRs to project:
– Most probable price range (90%)
– Most probable take profit (60%)
Does not generate entry signals.
Designed for use in conjunction with:
market structure, liquidity, and price action.
Works on Forex, Indices, Gold, and Cryptocurrencies.
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI
A comprehensive trend-following system with customizable filters for precise trade execution.
CORE COMPONENTS:
- SuperTrend with visual fill (trend detection)
- ADX + Directional Indicators (trend strength confirmation)
- Volume filter (optional)
- EMAs 7/21/50 (optional)
- Daily VWAP (optional)
- Previous Day High/Low levels (support/resistance)
KEY FEATURES:
✓ One entry per trend - avoids overtrading
✓ Entry: ADX crosses above threshold with SuperTrend alignment
✓ Exit: SuperTrend direction change
✓ Real-time status dashboard showing all filter conditions
✓ Clear BUY/SELL signals with EXIT markers
✓ All filters can be toggled ON/OFF for testing
✓ Customizable parameters for each indicator
DASHBOARD DISPLAY:
- Live ADX value (green >23 / red <23)
- DI+/DI- values with color coding
- Volume metrics
- Position status (IN/OUT)
- Signal status (BUY/SELL/WAIT)
IDEAL FOR:
Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation.
Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
Anchored Cumulative AverageAnchored Cumulative Price Average
Overview
The Anchored Cumulative Price Average plots the arithmetic mean of price values calculated from a user-defined start date and time.
Instead of using a fixed lookback length, the average continuously incorporates every completed candle since the anchor point, producing a stable reference level that evolves as new data becomes available.
The indicator supports custom source selection, optional higher-timeframe calculation, and an optional High / Low average mode, making it suitable for contextual market analysis across multiple time horizons.
How It Works
• A start date and time define the anchor point.
• From that moment forward, the script accumulates price values and divides them by the total number of candles included.
• The result is a cumulative (since-anchor) average, not a rolling moving average.
• When a higher timeframe is selected, calculations are performed only when a new HTF candle completes, ensuring consistent aggregation.
This approach creates an average that reflects the market’s mean price relative to a specific event, session, or structural point.
Inputs
• Calculation Timeframe
Choose the timeframe used for the calculation. Leaving this empty uses the chart timeframe.
• Start Date / Time
Defines the anchor point from which the average begins.
Source
Select the price input used for the average:
• Close, Open, High, Low
• HL2, HLC3, OHLC4
• High & Low (plots separate averages for highs and lows)
How to Use
• Anchor the indicator to a session open, swing point, news event, or structural shift.
• Observe how price interacts with the cumulative average as more data is added.
• Use the High & Low mode to visualize mean price boundaries instead of a single central line.
• Apply a higher timeframe to view broader contextual averages while remaining on a lower-timeframe chart.
Common Use Cases
• Contextual reference for mean price since a specific date or event
• Market structure and balance analysis
• Session-based or event-anchored price evaluation
• Multi-timeframe alignment and bias assessment
• Visual support tool alongside discretionary analysis
Notes
• This indicator does not predict price or generate trade signals.
• It is designed as a contextual analysis tool and should be used in conjunction with other forms of market analysis.
• The plotted values will change as new candles form after the anchor point.
Hurst ALMA Tuned Chandelier Exit Hurst × ALMA Tuned Chandelier Exit (HurstALMA-CE)
Public Description
Hurst × ALMA Tuned Chandelier Exit (HurstALMA-CE) is an adaptive trend‑following stop and exit indicator. It combines a smoothed price input (ALMA), a regime detector based on the Hurst exponent, and a dynamically tuned Chandelier Exit to automatically adjust its behavior between choppy and trending market conditions.
Instead of using a single fixed Chandelier configuration, the indicator continuously measures whether price action is behaving more like noise or a persistent trend. In choppy markets, it becomes more conservative by using shorter lookbacks and wider ATR multiples to reduce whipsaws. In trending markets, it tightens the stop and extends the lookback to better lock in gains while staying aligned with the trend.
The result is a regime‑aware trailing exit that adapts in real time, helping traders stay in strong trends longer while avoiding over‑sensitivity during sideways price action. HurstALMA‑CE can be used as a visual trailing stop, a trend confirmation overlay, or as an exit engine inside discretionary or systematic strategies.
Quantitative Description
1. Input Series
Price is optionally pre‑filtered using an Arnaud Legoux Moving Average (ALMA), defined by length, offset, and sigma parameters. This smoothed series is used as the input to the Hurst estimator to reduce high‑frequency noise.
2. Hurst Exponent Proxy
The indicator estimates the Hurst exponent using a variance‑scaling method. For fixed lags (8, 16, 32, 64), price differences are computed and their variances are measured over a rolling lookback window. A log‑log regression of variance versus lag produces a slope, which is mapped to a Hurst estimate via:
H ≈ 0.5 × slope.
The raw estimate is smoothed using an EMA to improve stability.
3. Regime Weight Mapping
The smoothed Hurst value is linearly mapped into a normalized weight w ∈ using user‑defined low‑H (choppy) and high‑H (trending) thresholds. Values below the low threshold map to w = 0, values above the high threshold map to w = 1.
4. Adaptive Chandelier Parameters
The Chandelier Exit length and ATR multiplier are interpolated between two parameter sets:
• Chop regime (shorter length, wider multiplier)
• Trend regime (longer length, tighter multiplier)
Interpolation is performed as:
CE_len = CE_len_chop + w × (CE_len_trend − CE_len_chop)
CE_mult = CE_mult_chop + w × (CE_mult_trend − CE_mult_chop)
Before sufficient data is available for the Hurst calculation, fallback Chandelier parameters are used.
5. Output
The final output consists of long and short Chandelier Exit levels computed using the dynamically tuned parameters. Optional status values expose the current Hurst estimate, regime weight, and active Chandelier settings for diagnostics and strategy development.
NQ Key Levels [EOY 2025]Key Price Levels to Watch
| Level | Type | Significance |
|---|---|---|
| 26,000 | Psychological Target | The "round number" magnet for the End of Year (EOY) close. |
| 25,835 | Major Resistance | The recent high from Dec 10. A break above this signals the Santa Rally is live. |
| 25,196 | Current Price | Friday's close. We are in "no man's land" here. |
| 25,000 | Critical Support | A psychological floor. If NQ breaks below this next week, the bullish thesis weakens. |
| 24,800 | Trend Defense | The "line in the sand." Bulls must defend this level to keep the uptrend intact. |
Projected Path for NQ (Dec 15 – Dec 31, 2025)
Dec 15–17 (Mon-Wed): Market tests support at 25,000. If it holds, buyers will step in.
Dec 18–19 (Thu-Fri): Erratic price action due to Triple Witching expiry. Avoid heavy leverage here.
Dec 22–31: Volume drops, but directional bias turns UP. The path of least resistance will be higher as sellers leave for the holidays.
Multi-TF EMA Alignment with Curvature (Buy & Sell) 2when you pick 3 times frames as a Context, Validation, and Entry, when all EMA's stack on all three time frame with curvature up or down it signals a long or short
Dynamic Pivot Point [MarkitTick]Title: Dynamic Pivot Point MarkitTick
Concept
Unlike traditional Pivot Points, which plot static horizontal levels based on the previous period's High, Low, and Close, this script introduces a dynamic element by applying an Exponential Moving Average (EMA) to the calculated pivot levels. This approach allows the Support and Resistance zones to adapt more fluidly to recent price action, reducing the jagged steps often seen in standard multi-timeframe pivot indicators.
How It Works
The script operates in two distinct phases of calculation:
1. Data Extraction and Core Math:
The indicator first requests the High, Low, and Close data from a user-defined timeframe (e.g., Daily, Weekly). Using this data, it calculates the standard Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3) using standard geometric formulas:
Pivot = (High + Low + Close) / 3
R1 = 2 * Pivot - Low
S1 = 2 * Pivot - High
(Subsequent levels follow standard Floor Pivot logic).
2. Dynamic Smoothing:
Instead of plotting these raw values directly, the script processes each calculated level (P, S1-S3, R1-R3) through an Exponential Moving Average (EMA). The length of this EMA is controlled by the Pivot Length input. This smoothing process filters out minor volatility and creates curved, dynamic trajectories for the pivot levels rather than static straight lines.
How to Use
Traders can use this tool to identify dynamic areas of interest where price may react.
The White Line represents the Central Pivot. Price action relative to this line helps determine the immediate bias (above for bullish, below for bearish).
Green Lines (Support 1, 2, 3) indicate potential demand zones where price may bounce during a downtrend.
Red Lines (Resistance 1, 2, 3) indicate potential supply zones where price may reject during an uptrend.
Because the levels are smoothed, they can also act as dynamic trend followers, similar to moving averages, but derived from pivot geometry.
Settings
Show Pivot Points: Toggles the visibility of the plot lines on the chart.
Pivot Length: Defines the lookback period for the EMA smoothing applied to the pivot levels. A higher number results in smoother, slower-reacting lines.
Timeframe: Determines the timeframe used for the underlying High/Low/Close data (e.g., selecting "D" calculates pivots based on Daily data while viewing a lower timeframe chart).
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Day Trading MA Crossover IndicatorDay Trading MA Crossover Indicator Overview The Day Trading MA Crossover Indicator is a simple yet effective tool designed for day traders to identify potential buy and sell opportunities based on moving average crossovers. It plots two customizable moving averages on your chart and generates clear visual signals when they cross, helping you spot trend reversals or continuations in fast-paced markets.This indicator is ideal for intraday trading on lower timeframes (e.g., 5-min, 15-min charts) but can be adapted for swing trading or higher timeframes. It's built with flexibility in mind, allowing you to tweak the MA lengths and types to suit your strategy.Key FeaturesMoving Average Crossovers: Generates "BUY" signals when the fast MA crosses above the slow MA (potential bullish entry) and "SELL" signals when it crosses below (potential bearish entry or exit).
Visual Signals: Green "BUY" labels below bars for long entries and red "SELL" labels above bars for short entries or exits. Optional subtle background coloring highlights signals for quick spotting.
Customizable Parameters:Fast MA Length (default: 9): Period for the shorter moving average.
Slow MA Length (default: 21): Period for the longer moving average.
MA Type (default: EMA): Choose between SMA (Simple), EMA (Exponential), or WMA (Weighted) for different smoothing behaviors.
Overlay Mode: Plots directly on your price chart without cluttering separate panes.
Lightweight and Efficient: Minimal computation for real-time performance on TradingView.
How It WorksMoving Averages Calculation: The indicator computes two MAs based on your selected type and lengths using closing prices.
Signal Detection: A buy signal triggers on an upward crossover (fast MA > slow MA), indicating potential momentum shift to the upside. A sell signal triggers on a downward crossunder (fast MA < slow MA), signaling possible downside momentum.
Visual Aids: Signals appear as labeled shapes with optional background tints to emphasize key bars.
Usage TipsFor Day Trading: Apply on volatile instruments like forex pairs, stocks, or crypto. Combine with support/resistance levels or other indicators (e.g., RSI for overbought/oversold confirmation) to filter false signals in ranging markets.
Backtesting: Test on historical data to optimize MA lengths for your asset—shorter periods for aggressive trading, longer for smoother trends.
Risk Management: Always use stop-losses and position sizing. Signals are not foolproof and work best in trending conditions.
Customization: Adjust inputs via the indicator settings panel after adding it to your chart.
Example SetupOn a 5-min EUR/USD chart: Use EMA (9/21) for quick crossovers. Look for buy signals above key support with increasing volume.
Avoid choppy markets where frequent false crossovers ("whipsaws") can occur.
This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves risk; consult a professional advisor before using any strategy. If you have feedback or suggestions for improvements, feel free to comment!
Crypto ATR Position Sizer + LeverageThis indicator is a "heads-up display" for crypto traders who need real time risk management without manually calculating position sizes. It uses Average True Range (ATR) to dynamically place Stop Losses based on current market volatility and automatically calculates the exact position size needed to respect your risk percentage.
Key Features:
Dynamic Risk Management: Stop Loss and Take Profit levels adjust automatically based on market volatility (ATR).
Auto-Position Sizing: Calculates the exact Quantity (in coins) and Position Value (in $) to ensure you never risk more than your defined percentage (e.g., 1% or 2%).
Leverage Calculator: Instantly sees the "Required Leverage" needed to execute the trade size relative to your account balance.
Crypto Precision: Displays up to 8 decimal places, making it compatible with both Bitcoin and low-sat altcoins.
Toggable Direction: Switch between Long and Short biases instantly via the settings menu.
How to Use:
Add the indicator to your chart.
Open Settings and input your Account Balance and Risk %.
Choose your direction (Long or Short) using the checkboxes.
The label will display your Entry, SL, TP, Coin Quantity, and Required Leverage in real-time.
MTF FVG 3-candleMTF FVG 3-candle is an indicator that detects Fair Value Gaps using a 3-candle pattern on the timeframe selected in the settings. It projects FVG zones onto lower timeframes, tracks the first touch and full fill of each zone, and provides alerts.
RSI WMA Crossover Momentum w/ HighlightRSI WMA Crossover Momentum
This is a momentum indicator that tracks the RSI. Its principle is to use the WMA line to determine the trend of the RSI, and from the RSI, the price trend can be determined.
