Rolling Midpoints of Price vs 50% FibThis script overlays two complementary midpoint lines on your chart to reveal evolving bias, structural imbalances, and zones of mean reversion:
🔸 The Price Midpoint tracks a dynamic center based on the raw price range over a user-defined lookback.
🔸 The Fib Midpoint is calculated from the most recent confirmed swing high and low, forming a live 50% Fibonacci retracement — then smoothed for trend stability.
📘 What Is Mean Reversion, and Why Midpoints Matter?
Markets often oscillate between periods of trend and consolidation. Mean reversion refers to the tendency of price to return to a “fair value” after stretching too far in one direction. The Price Midpoint captures this range-based balance, while the Fib Midpoint anchors to structural swing levels. When price strays far from both, it may be overextended — setting the stage for pullbacks or reversion. When price hovers between or tests both midlines, it reflects balance or indecision. EquiZone helps visualize this dynamic, offering traders real-time insight into whether price is moving with strength, fading, or snapping back to equilibrium.
🔍 Concept Breakdown
➖Price Midpoint – A rolling midpoint between the highest high and lowest low over a user-defined lookback. Think of it as a range-weighted equilibrium.
➖Fib Midpoint – A dynamic 50% Fibonacci retracement between the most recent confirmed swing high and swing low (based on pivot logic), smoothed over time for stability.
➖Color-coded Fills & Bar Colors – Highlight confluence and divergence between the two midpoints, offering intuitive visual cues on trend alignment or structural disagreement.
🎯 Why It’s Useful
➖Spot consolidation zones and structural inflection points
➖Detect hidden divergence between price action and swing structure
➖Use midpoint alignment as a trend confirmation filter
➖Identify mean reversion setups when price strays too far from both midlines
➖Visualize market equilibrium across two complementary perspectives
⚙️ Customizable Features
➖Independent lookbacks for both midpoints
➖Toggle fill shading and adjust color schemes
➖Choose from multiple bar color modes (Close, HL2, OHLC3, OHLC4)
➖Control pivot sensitivity via left/right bar windows
➖Select pivot source: high, low, or close
🧠 How to Use
➖When Price Mid > Fib Mid, momentum may be outrunning structure → bullish extension
➖When Fib Mid > Price Mid, structure leads but price lags → bearish potential or fading momentum
➖When the two lines converge, it signals a zone of balance or potential breakout setup
➖Use bar colors to confirm whether price is leading or following structure
🔧 This isn’t just a visual overlay — it’s a structure-aware bias engine.
Best For:
📈 Trend-followers seeking confirmation between price action and structure
🔄 Reversal traders watching for midpoint divergence
📊 Range traders identifying dynamic fair-value zones
🔍 Price-action analysts who want a clean, non-lagging context layer
➡️ Built for clarity and speed, EquiZone adds zero clutter and works seamlessly across all timeframes and asset types. It pairs especially well with support/resistance zones, trendlines, Fibonacci ladders, and price action patterns.
📌 Final Note:
While Rolling Midpoints provides insight into market balance and directional bias, no single indicator should be traded in isolation. For best results, combine it with contextual tools such as trend structure, volume analysis, higher-timeframe mapping, and clear entry/exit frameworks. Use this as a bias confirmation tool, not a trigger by itself.
Indicateurs et stratégies
NY Anchored VWAP and Auto SMANY Anchored VWAP and Auto SMA
This script is a versatile trading indicator for the TradingView platform that combines two powerful components: a New York-anchored Volume-Weighted Average Price (VWAP) and a dynamic Simple Moving Average (SMA). Designed for traders who utilize VWAP for intraday trend analysis, this tool provides a clear visual representation of average price and volatility-adjusted moving averages, generating automated alerts for key crossover signals.
Indicator Components
1. NY Anchored VWAP
The VWAP is a crucial tool that represents the average price of a security adjusted for volume. This version is "anchored" to the start of the New York trading session, resetting at the beginning of each new session. This provides a clean, session-specific anchor point to gauge market sentiment and trend. The VWAP line changes color to reflect its slope:
Green: When the VWAP is trending upwards, indicating a bullish bias.
Red: When the VWAP is trending downwards, indicating a bearish bias.
2. Auto SMA
The Auto SMA is a moving average with a unique twist: its lookback period is not fixed. Instead, it dynamically adjusts based on market volatility. The script measures volatility using the Average True Range (ATR) and a Z-Score calculation.
When volatility is expanding, the SMA's length shortens, making it more sensitive to recent price changes.
When volatility is contracting, the SMA's length lengthens, smoothing out the price action to filter out noise.
This adaptive approach allows the SMA to react appropriately to different market conditions.
Suggested Trading Strategy
This indicator is particularly effective when used on a one-minute chart for identifying high-probability trade entries. The core of the strategy is to trade the crossover between the VWAP and the Auto SMA, with confirmation from a candle close.
The strategy works best when the entry signal aligns with the overall bias of the higher timeframe market structure. For example, if the daily or 4-hour chart is in an uptrend, you would look for bullish signals on the one-minute chart.
Bullish Entry Signal: A potential entry is signaled when the VWAP crosses above the Auto SMA, and is confirmed when the one-minute candle closes above both the VWAP and the SMA. This indicates a potential continuation of the bullish momentum.
Bearish Entry Signal: A potential entry is signaled when the VWAP crosses below the Auto SMA, and is confirmed when the one-minute candle closes below both the VWAP and the SMA. This indicates a potential continuation of the bearish momentum.
The built-in alerts for these crossovers allow you to receive notifications without having to constantly monitor the charts, ensuring you don't miss a potential setup.
RS Alpha by The Noiseless TraderRS Alpha by The Noiseless Trader plots a clean, benchmark‑relative strength line for any symbol and (optionally) a mean line to assess trend and momentum in relative performance. It’s designed for uncluttered, professional RS analysis and works across any timeframe.
Compare any symbol vs a benchmark (default: NSE:NIFTY).
Optional log‑normalized RS for return‑aware comparisons.
Optional RS Mean with trend coloring (rising/falling).
Optional RS Trend zero‑line coloring based on short‑range slope.
Lightweight alerts for rising/falling RS mean.
Tip: Use RS to identify leaders (RS > 0 with rising mean) and laggards (RS < 0 with falling mean), then align setups with your price action rules.
Reading the indicator
Leadership: RS > 0 and RS Mean rising → outperformance vs benchmark.
Weakness: RS < 0 and RS Mean falling → underperformance vs benchmark.
Inflections: Watch RS crossing above/below its Mean for early shifts.
Zero‑line context: With RS Trend on, the zero line subtly reflects short‑term slope (green for positive, maroon for negative).
Alerts
Rising Strength – RS Mean turning/remaining upward.
Declining Strength – RS Mean turning/remaining downward.
(Use these as context; execute entries on your price‑action rules.)
Best practices
Pair RS with your trend/structure rules (e.g., higher highs + RS leadership).
For sectors/baskets, keep the Comparative Symbol consistent to rank peers.
Log‑normalized RS helps when comparing assets with very different volatilities or large base effects.
Test multiple length and Mean settings; 60 is a balanced default for swing/positional work.
Credits
Original concept & code: © bharatTrader
Modifications & refinements: The Noiseless Trader
Market Structures by The Noiseless TraderMarket Structure by The Noiseless Trader is an indicator that highlights simple candle-based market structure patterns: Market Structure Low (MSL) and Market Structure High (MSH) . It is designed to make these shifts visible directly on the chart.
Pattern Logic
MSL (Market Structure Low)
Candle 2: Bearish
Candle 1: Bearish, closing below Candle 2’s close
Candle 0: Bullish, closing above Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
MSH (Market Structure High)
Candle 2: Bullish
Candle 1: Bullish, closing above Candle 2’s close
Candle 0: Bearish, closing below Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
Features
Label plotting: When a pattern forms, the script places an “MSL” or “MSH” label slightly offset from Candle 0 so that the signal is visible but does not overlap the bar.
Bar coloring: Optionally, the script colors the signal candles for faster visual recognition (green for MSL, red for MSH).
Repaint protection : A setting allows the user to confirm signals only on bar close. This ensures the label does not disappear once plotted, though it delays the signal until the candle closes.
Customizable inputs: Users can set the minimum body size threshold (in % of price) and adjust the label offset distance to their preference.
Alerts: TradingView alerts can be created for both MSL and MSH events, making it possible to receive notifications when patterns appear.
How to Use
MSL labels mark potential swing lows where bearish pressure is followed by a bullish reversal.
MSH labels mark potential swing highs where bullish pressure is followed by a bearish reversal.
These patterns are most useful for studying shifts in short-term trend structure. Traders can monitor them as potential areas of interest, but they are not standalone entry or exit signals.
This indicator should be used as part of a broader trading framework. For example, some traders may combine MSL/MSH with trend filters, higher-timeframe analysis, or support/resistance zones or even classical pattern clubbed with MSL/MSH.
Notes
This tool highlights specific three-candle formations. It does not generate buy/sell recommendations.
It is intended for educational and analytical purposes only.
Past appearances of MSL or MSH patterns do not guarantee future performance.
Always confirm with your own market analysis before taking trading decisions.
Developed by The Noiseless Trader .
50% of Previous 1H Candle (Color Logic)📌 Script Title: 50% Midpoint of Previous 1H Candle (Color Coded)
📝 Description:
This indicator draws a horizontal line at the 50% (midpoint) of the most recently closed 1-hour candle, helping traders visualize intraday support/resistance and sentiment bias.
🔹 Key Features:
Plots the midpoint of the last 1H candle as a horizontal line.
Color-coded line and label:
🟢 Green: Previous candle was bullish
🔴 Red: Previous candle was bearish
⚪ Gray: Neutral (doji or equal open/close)
Displays the exact price level with a floating label.
Works on any lower timeframe chart (e.g., 5m, 15m, 30m).
Automatically updates every hour after the 1H candle closes.
📈 Use Cases:
Trade around the 1H midpoint as a dynamic pivot zone.
Confirm or fade price breakouts/rejections at this level.
Use it with trendlines, supply/demand zones, or VWAP.
🔍 Technical Notes:
The midpoint is calculated using:
Midpoint = (High + Low) / 2
from the most recent closed 1H candle.
Color logic is based on whether the 1H candle closed above or below its open.
🚀 Enhancement Ideas (future updates):
Add optional alerts on cross of the midpoint.
Show multiple historical midpoint levels.
Input toggle to enable/disable color coding.
Whether you’re scalping intraday or watching for reaction zones, this tool gives you a clean, real-time level to anchor your trades around.
Happy trading! 💹
— Built with ❤️ in Pine Script v6
Triple Tap Sniper Triple Tap Sniper v3 – EMA Retest Precision System
Triple Tap Sniper is a precision trading tool built around the 21, 34, and 55 EMAs, designed to capture high-probability retests after EMA crosses. Instead of chasing the first breakout candle, the system waits for the first pullback into the EMA21 after a trend-confirming cross — the spot where professional traders often enter.
🔑 Core Logic
EMA Alignment → Trend defined by EMA21 > EMA34 > EMA55 (bullish) or EMA21 < EMA34 < EMA55 (bearish).
Cross Detection → Signals are only armed after a fresh EMA cross.
Retest Entry → Buy/Sell signals fire only on the first retest of EMA21, with trend still intact.
Pro Filters →
📊 Higher Timeframe Confirmation: Aligns signals with larger trend.
📈 ATR Volatility Filter: Blocks weak signals in low-vol chop.
📏 EMA Spread Filter: Ignores tiny “fake crosses.”
🕯️ Price Action Filter: Requires a proper wick rejection for valid entries.
🚀 Why Use Triple Tap Sniper?
✅ Filters out most false signals from sideways markets.
✅ Focuses only on clean trend continuations after pullbacks.
✅ Beginner-friendly visuals (Buy/Sell labels) + alert-ready for automation.
✅ Flexible: works across multiple timeframes & asset classes (stocks, crypto, forex).
⚠️ Notes
This is a signal indicator, not a full strategy. For backtesting and optimization, convert to a strategy and adjust filters per market/timeframe.
No indicator guarantees profits — use with sound risk management.
MA Median Crossover | MisinkoMasterThe MA Median Crossover is a new trend analysis tool designed to help traders catch trends with less noisy, more accuracy and speed.
While simple, this effective indicator can improve your strategy more than you might think.
How does it work?
1. Get user defined input
=> set up your indicator to your likings, and make it capture what you want it to
2. Calculate the Moving Average and Median Base
=> this is the foundation of the indicator
3. Smooth the median
=> less noise, more accuracy, just like that!
4. Compare the MA to the smoothed Median
=> If the MA > smoothed Median, it signals an uptrend, if the MA < smoothed Median,
it signals a downtrend.
Yep, that is how simple it is.
Final note:
Changing the MA type is very influencial, so watch out when changing them.
Enjoy G´s!
Volume by Time [LuxAlgo]The Volume by Time indicator collects volume data for every point in time over the day and displays the average volume of the specific dataset collected at each respective bar.
The indicator overlays the current volume and the historical average to allow for better comparisons.
🔶 USAGE
Throughout the day, the volume of every bar is stored in groups organized by the time when each bar occurred.
Over time, the datasets accumulate, and from that, we can simply determine the average value at each specific time of the day.
The display is a histogram style, which consists of hollow bars and solid filled columns.
-Hollow bars represent the average volume at that time of the day.
-Solid columns display the current volume from the current bar.
By default, the entire history of data is used, but if desired, the number of days under analysis can be specified to provide a more relevant point of view.
A readout of the number of days being analyzed can be seen in the status bar at any time.
Note: Due to partial sessions, it is typical to see this value change throughout the day; this is simply due to the fact that not every trading session has the exact same schedule 100% of the time.
The analysis type can also be specified; these can be either Average (Default) or Median.
Additionally, a Bi-directional can be toggled for a distinct difference between upwards volume and downwards volume.
🔶 SETTINGS
Analysis Type: Choose between Average or Median analysis modes.
Length (Days): Set the number of days to use for analysis. Set to 0 for full data (Default 0).
Bi-Directional Toggle: Toggle between one-sided or two-sided display.
RSI Crossover AlertRSI Crossover Alert Indicator - User Guide
The RSI Crossover Alert Indicator is a comprehensive technical analysis tool that detects multiple types of RSI crossovers and generates real-time alerts. It combines traditional RSI analysis with signal lines, divergence detection, and multi-level crossing alerts.
1. Multiple Crossover Detection
- RSI/Signal Line Cross: Signals a primary trend change.
- RSI/Second Signal Cross: Confirmation signals for stronger trends.
- Level Crossings: Crosses of Overbought 70, Oversold 30, and Midline 50.
- Divergence Detection: Hidden and regular divergences for reversal signals.
2. Alert Types
- Alert: RSI > Signal
Description: Bullish momentum is building.
Signal: Consider long positions.
- Alert: RSI < Signal
Description: Bearish momentum is building.
Signal: Consider short positions.
- Alert: RSI > 70
Description: Entering the overbought zone.
Signal: Prepare for a potential reversal.
- Alert: RSI < 30
Description: Entering the oversold zone.
Signal: Watch for a bounce opportunity.
- Alert: RSI crosses 50
Description: A shift in momentum.
Signal: Trend confirmation.
3. Visual Components
- Lines: RSI blue, Signal orange, Second Signal purple
- Histogram: Visualizes momentum by showing the difference between RSI and the Signal line.
- Background Zones: Red overbought, Green oversold
- Markers: Up/down triangles to indicate crossovers.
- Info Table: Real-time RSI values and status.
Strategy 1: Classic Crossover
- Entry Long: RSI crosses above the Signal Line AND RSI is below 50.
- Entry Short: RSI crosses below the Signal Line AND RSI is above 50.
- Take Profit: On the opposite signal.
- Stop Loss: At the recent swing high/low.
Strategy 2: Extreme Zone Reversal
- Entry Long: RSI is below 30 and crosses above the Signal Line.
- Entry Short: RSI is above 70 and crosses below the Signal Line.
- Risk Management: Higher win rate but fewer signals. Use a minimum 2:1 risk-reward ratio.
Strategy 3: Divergence Trading
- Setup: Enable divergence alerts and look for price/RSI divergence. Wait for an RSI crossover for confirmation.
- Entry: Enter on the crossover after the divergence appears. Place the stop loss beyond the starting point of the divergence.
Strategy 4: Multi-Timeframe Confirmation
1. Check the higher timeframe e.g. Daily to identify the main trend.
2. Use the current timeframe e.g. 4H/1H for your entry.
3. Only enter in the direction of the main trend.
4. Use the RSI crossover as the entry trigger.
Optimal Settings by Market
- Forex Major Pairs
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 70/30
- Crypto High Volatility
RSI Length: 10-12, Signal Length: 6-8, Overbought/Oversold: 75/25
- Stocks Trending
RSI Length: 14-21, Signal Length: 9-12, Overbought/Oversold: 70/30
- Commodities
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 80/20
Risk Management Rules
1. Position Sizing: Never risk more than 1-2% on a single trade. Reduce size in ranging markets.
2. Stop Loss Placement: Place stops beyond the recent swing high/low for crossovers. Using an ATR-based stop is also effective.
3. Profit Taking: Take partial profits at a 1:1 risk-reward ratio. Switch to a trailing stop after reaching 2:1.
1. Filtering Signals
- Combine with volume indicators.
- Confirm the trend on a higher timeframe.
- Wait for candlestick pattern confirmation.
2. Avoid Common Mistakes
- Don't trade every single crossover.
- Avoid taking signals against a strong trend.
- Do not ignore risk management.
3. Market Conditions
- Trending Market: Focus on midline 50 crosses.
- Ranging Market: Look for reversals from overbought/oversold levels.
- Volatile Market: Widen the overbought/oversold levels.
- If you get too many false signals:
Increase the signal line period, add other confirmation indicators, or use a higher timeframe.
- If you are missing major moves:
Decrease the RSI length, shorten the signal line period, or check your alert settings.
Recommended Combinations
1. RSI + MACD: For dual momentum confirmation.
2. RSI + Bollinger Bands: For volatility-adjusted signals.
3. RSI + Volume: To confirm the strength of a signal.
4. RSI + Moving Averages: To use as a trend filter.
This indicator provides a comprehensive RSI analysis. Success depends on proper configuration, risk management, and combining signals with the overall market context. Start with the default settings, then optimize based on your trading style and market conditions.
Perfect Price-Anchored % Fib Grid This indicator generates support and resistance levels anchored to a fixed price of your choice.
You can also specify a percentage for the indicator to calculate potential highs and lows.
Commonly used values are 3.5% or 7%, as well as smaller decimal versions like 0.35% or 0.7%, depending on the volatility you expect.
In addition, the indicator can highlight potential stop-run levels in multiples of 27 — ranging from 0 up to 243. This automatically places the 243 GB range directly onto your chart.
The tool is versatile and can be applied not only to equities, but also to ES futures and Forex markets.
ADX MTF mura visionOverview
ADX MTF — mura vision measures trend strength and visualizes a higher-timeframe (HTF) ADX on any chart. The current-TF ADX is drawn as a line; the HTF ADX is rendered as “step” segments to reflect closed HTF bars without repainting. Optional soft fills highlight the 20–25 (trend forming) and 40–50 (strong trend) zones.
How it works
ADX (current TF) : Classic Wilder formulation using DI components and RMA smoothing.
HTF ADX : Requested via request.security(..., lookahead_off, gaps_off).
When a new HTF bar opens, the previous value is frozen as a horizontal segment.
The current HTF bar is shown as a live moving segment.
This staircase look is expected on lower timeframes.
Auto timeframe mapping
If “Auto” is selected, the HTF is derived from the chart TF:
<30m → 60m, 30–<240m → 240m, 240m–<1D → 1D, 1D → 1W, 1W/2W → 1M, ≥1M → same.
Inputs
DI Length and ADX Smoothing — core ADX parameters.
Higher Time Frame — Auto or a fixed TF.
Line colors/widths for current ADX and HTF ADX.
Fill zone 20–25 and Fill zone 40–50 — optional light background fills.
Number of HTF ADX Bars — limits stored HTF segments to control chart load.
Reading the indicator
ADX < 20: typically range-bound conditions; trend setups require extra caution.
20–25: trend emergence; breakouts and continuation structures gain validity.
40–50: strong trend; favor continuation and manage with trailing stops.
>60 and turning down: possible trend exhaustion or transition toward range.
Note: ADX measures strength, not direction. Combine with your directional filter (e.g., price vs. MA, +DI/−DI, structure/levels).
Non-repainting behavior
HTF values use lookahead_off; closed HTF bars are never revised.
The only moving piece is the live segment for the current HTF bar.
Best practices
Use HTF ADX as a regime filter; time entries with the current-TF ADX rising through your threshold.
Pair with ATR-based stops and a MA/structure filter for direction.
Consider higher thresholds on highly volatile altcoins.
Performance notes
The script draws line segments for HTF bars. If your chart becomes heavy, reduce “Number of HTF ADX Bars.”
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk.
Sentinel 5 — OHL daybreak signals [KedArc Quant]Overview
Sentinel 5 plots the first-bar high/low of each trading session and gives clean, rules-based signals in two ways:
1) OHL Setups at the close of the first bar (Open equals/near High for potential short; Open equals/near Low for potential long).
2) Breakout Signals later in the session when price breaks the first-bar High/Low, with optional body/penetration filters.
Basic workflow
1. Wait for the first session bar to finish.
*If O≈H (optionally by proximity) → short setup. •
*If O≈L → long setup. • If neither happens, optionally allow later breakouts.
2. Optional: Act only on breakouts that penetrate a minimum % of that bar’s range/body.
3. Skip the day automatically if the first bar is abnormally large (marubozu-like / extreme ATR / outsized vs yesterday).
Signals & Markers
Markers on the chart:
▲ O=L (exact) / O near L (proximity) – long setup at first-bar close.
▼ O=H (exact) / O near H (proximity) – short setup at first-bar close.
▲ Breakout Long – later bar breaks above first-bar High meeting your penetration rule.
▼ Breakout Short – later bar breaks below first-bar Low meeting your penetration rule.
MA Availability ETA (SMA100/EMA200)This tool helps traders understand when long-term moving averages become available on any chosen timeframe.
Many new symbols, pairs, or timeframes don’t have enough price history to immediately plot long moving averages like SMA(100) and EMA(200). This script calculates and displays:
✅ Bars Remaining – how many bars are still needed before each moving average can be plotted reliably.
✅ ETA Duration – an estimate of how long (in chart time units) it will take until each MA is available.
✅ Status Table & Label – compact visual summary on the chart and in a table at the top-right corner.
✅ Vertical Marker – a dotted line showing exactly where both SMA(100) & EMA(200) first appear together.
✅ Alerts – optional alerts notify you the moment SMA(100) or EMA(200) become available.
🔑 Features
Works on any timeframe and instrument.
Highlights SMA(100) and EMA(200) on the chart for reference.
Lets you choose whether EMA(200) should be considered ready immediately, or only after a full 200-bar history.
Useful for traders who rely on long-term MA signals (golden cross, dynamic support/resistance, trend confirmation) and want to know when these tools will be ready on fresh charts.
🎯 Use Cases
New listings / low-history assets → See when SMA100 & EMA200 become usable.
Backtesting or forward-testing → Anticipate when long-term signals will first appear.
Trend-following strategies → Prepare in advance for crossovers or key support/resistance confluence zones.
⚠️ Note: ETAs are based on chart resolution and assume continuous data; real-world session gaps, weekends, or illiquid trading can make availability slightly later.
👉 Add this to your chart and you’ll always know when the big moving averages arrive — a critical moment for many upside moves and long-term strategies.
ORB with Fib Levels - TradingbrockOpening Range (OR) Indicator Overview
This TradingView indicator analyzes and displays the Opening Range - a popular day trading concept that tracks price movement during the first 30-60 minutes of the trading session.
Core Functionality:
Opening Range Detection: By default, it monitors the 9:30-10:00 AM ET period and tracks the highest high and lowest low during this time frame, creating upper and lower boundaries.
Fibonacci Retracement Levels: Inside the opening range, it displays five key Fibonacci levels:
0.236 (23.6% - shallow retracement)
0.382 (38.2% - standard retracement)
0.500 (50% - halfway point)
0.618 (61.8% - golden ratio)
0.786 (78.6% - deep retracement)
Extension Levels: The indicator projects additional levels beyond the opening range:
1x extension above/below the range
2x extension levels that only appear when price breaks the first extension
Trading Applications:
Support & Resistance: The opening range high/low often act as key levels throughout the trading day
Breakout Trading: Many traders watch for price to break above or below the opening range
Mean Reversion: The Fibonacci levels within the range can serve as potential reversal points
Risk Management: Helps define clear levels for stop losses and profit targets
The indicator essentially gives traders a framework to understand how price is behaving relative to the early session's established range, which often sets the tone for the entire trading day.
Elliott Wave Rule EngineWhat this tool does
The indicator scans price for two concurrent swing structures—a Small (shorter-degree) and a Large (higher-degree) set—then applies an Elliott/NeoWave rule engine to the most recent 5-swing motive (1-2-3-4-5) or 3-swing corrective (A-B-C). It produces:
Blue lines for Small swings and Orange lines for Large swings.
A rule dashboard (optional) showing PASS/FAIL/WARN for core rules & guidelines.
Buy/Sell labels when (a) a valid motive completes and (b) loop “consensus,” alignment, and scoring gates are satisfied.
Reading the chart
Small swings: thin blue segments, built from your Small settings.
Large swings: thicker orange segments, from your Large settings.
Background tint: faint green when a motive (impulse/diagonal) is valid right now on Small.
Labels (if enabled):
“1…5” or “A-B-C” markers on the latest detected structure.
Buy/Sell label at the last pivot when all gates pass; text may include a score %.
How it works
For both Small and Large degrees the script:
- Loops over all (left, right) combinations you specify (e.g., Small Left = 3..6, Right = 0..0) and calls ta.pivothigh/low.
- Aggregates the results:
- Keeps the most extreme pivot found in the loop (highest high or lowest low) that’s newer than the last accepted swing.
- Gates acceptance by minimum % change versus the last opposite swing (inside the loop) and a post-aggregation filter (Small Minimum swing %, Large Minimum swing %).
- Merges back-to-back same-type swings (HH or LL) by keeping only the more extreme one.
- Keeps only the last N=lookbackWaves swings (default 100).
- Consensus (used for signals) comes from the loop counts:
- sBuyConsensus = small L-count / total-combos (bullish bias)
- sSellConsensus = small H-count / total-combos (bearish bias)
(and the same for Large). This is a data-driven “how many combos agreed” measure.
2) Rule engine (Impulse/Diagonal vs. Corrective)
When there are at least 6 Small swings, the engine tests 1-2-3-4-5:
Hard rules (must pass for an Impulse):
- Wave-2 not > 100% of Wave-1 (no retrace beyond start of W1).
- Wave-3 not the shortest among 1,3,5.
- Wave-4 doesn’t overlap Wave-1 (if it does, structure may be a Diagonal).
- Diagonal eligibility: Rules 1 & 2 pass but Rule 3 fails ⇒ eligible as a Diagonal (
Guidelines (7 checks, count toward a threshold you set):
- W2 retraces a Fib level (within ±fibTol).
- W4 retraces a Fib level (within ±fibTol).
- W3 strongest momentum (speed = |Δprice| / bars).
- Alternation: W2 vs W4 have meaningfully different “sharpness” (price per bar), threshold altSlopeThr.
- Proportion (Price): |W1| and |W3| within propTolP× each other.
- Proportion (Time): W1W3 and W2W4 durations within propTolT×.
- W5 weaker than W3 (momentum divergence proxy).
A Motive is valid if:
- Impulse: all 3 hard rules pass and guideline passes ≥ Min guideline passes.
- Diagonal: diagonal-eligible and guideline passes ≥ Min guideline passes.
- if motive fails, the engine still evaluates ABC as Zigzag and Flat to populate the table:
- Zigzag: B shallower than ~0.618A; C ≈ A or 1.618A (±fibTol).
- Flat: B ≥ ~0.9A; expanded flat if B > 1.0A and C in *A; “running” note if C < A.
3) Signal logic (consensus-gated & scored)
Signals fire only on new Small pivots and only if a Small motive just validated:Direction comes from the motive’s W1 (up = bull, down = bear).
Consensus checks (from the loop):
Use Sell consensus if the last pivot is a High, or Buy consensus if it’s a Low.Require it ≥ Min SMALL loop consensus and ahead of the opposite side by at least Min consensus margin.If you also require Large quality: check the corresponding Large consensus ≥ Min LARGE loop consensus.
Alignment: If Require small/large directional alignment is ON, Small and Large directions must match (or the Large motive must be complete).
Score:
- If Large not required: finalScore = smallConsensus × smallQuality.
- If Large required: finalScore = smallConsensus × smallQuality × largeQuality.
- Need finalScore ≥ Min final score.
When all gates pass, you’ll see “Buy xx%” or “Sell xx%” at the pivot.
Inputs (explained):
- Smaller Wave Swing Detection (Looped)
- Small Left Min / Max (default 3..6): ta.pivot* left widths to scan.
- Small Right Min / Max (default 0..0): right widths to scan (0 = earliest confirmation).
- Small Minimum swing % (post-aggregation) (0.3%): filters out tiny swings after the loop.
- Larger Wave Swing Detection (Looped)
- Large Left Min / Max (100..200) and Right Min/Max (0..0): higher-degree scan (defaults are big; adjust for intraday).
- Large Minimum swing % (post-aggregation) (1.5%).
- Loop Filters (inside the loop)
- Small loop min % change (0.20%): a candidate pivot counts only if move vs. last opposite Small swing ≥ this.
- Large loop min % change (1.50%): same idea for Large.
Rule Engine Tolerances
- Fibonacci tolerance (±%) (0.05 = 5%): closeness to Fib levels.
-Same-degree TIME proportion max (x) (2.00×) and PRICE proportion max (x) (3.00×).
- Alternation slope ratio threshold (0.10): higher = stricter alternation.
- Min guideline passes (0–7) (5): threshold for motive validity.
- Signal Probability (Loop Consensus)
- Min SMALL loop consensus (0.60).
- Min LARGE loop consensus (0.50) (used only if Large validation matters).
- Min consensus margin vs opposite (0.10): e.g., 0.60 vs 0.45 fails (margin 0.15 passes).
Require LARGE 1–5 valid (or diagonal) for signal (off by default).
Min final score (0.20): gate on the composite score.
Annotate label with score % (on).
WARN (orange): guideline not met—pattern can still be valid if total passes ≥ Min guideline passes.
FAQ
Q: Why did I get a diagonal instead of an impulse?
A: Wave-4 overlapped Wave-1 (Rule 3). If Rules 1 & 2 pass and guidelines meet your minimum, it’s eligible as a Diagonal.
Q: Where do Buy/Sell labels come from?
A: Only after a valid Small motive at a new pivot, and only if consensus, alignment, and final score gates pass (per your settings).
Q: It “missed” a wave in hindsight.
A: Pivots require right bars to confirm; extremely tight settings can filter that swing; adjust Small min % or ranges.
Q: Are there repaints?
A: No, It uses standard pivot confirmation; until a pivot is confirmed, recent swings can evolve. After confirmation, lines/labels are stable.
Limitations & disclaimers
Elliott/NeoWave rules are heuristics; markets are messy. Treat outputs as structured context, not certainty.
Consensus is pattern-scan agreement, not probability of profit Not investment advice; always couple with risk management.
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator
Purpose
This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns.
What a martingale is
A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged:
Lose one leg → increase next position size
Lose again → increase again
Win → reset to the base size
The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops.
What it plots
Equity – simulated portfolio equity including compounding
Buy & Hold – equity from holding the chart symbol for context
Optional helpers – last trade outcome, current streak length, current allocation fraction
Optional diagnostics – daily portfolio return, rolling drawdown, metrics table
Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands
Model assumptions
Bar-close execution with no slippage or commissions
Shorting allowed and frictionless
No margin interest, borrow fees, or position limits
No intrabar moves or gaps within a bar (returns are close-to-close)
Sizing applies to equity fraction only and is capped by your setting
All results are hypothetical and for education only.
How the simulator applies it
1) Directional signal
You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts.
2) Sizing after losses and wins
Position size is a fraction of equity:
Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity
Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double
Reset after win – return to the initial allocation
Max allocation cap – hard ceiling to prevent runaway growth
At a high level the size after k consecutive losses is
alloc(k) = min( cap , base × factor^k ) .
In practice the simulator changes size only when a leg ends and its PnL is known.
3) Equity update
Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds:
eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) .
This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled.
Why traders experiment with martingale sizing
Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn
Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests
Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live
Why martingale is dangerous
Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic:
Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N.
Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible.
No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels.
Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest.
Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs.
Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected.
The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty.
Interpreting losing streaks with numbers
A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check:
If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare.
If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap.
This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions
Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests..
Using the simulator productively
Parameter studies
Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond.
Initial allocation – lower base reduces volatility and drawdowns across the board
Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive
Max cap – the most important brake; many users keep it between 20 and 50 percent
Signal selection
Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each.
Diagnostics to watch
Use the built-in metrics to quantify risk:
Max Drawdown – worst peak-to-trough equity loss
Sharpe and Sortino – volatility and downside-adjusted return
VaR 95 percent and CVaR – tail risk measures from the realized distribution
Alpha and Beta – relationship to your chosen benchmark
If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see
Monte Carlo exploration
When enabled, the forecast draws many synthetic paths from your realized daily returns:
Choose a horizon and a number of runs
Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path
Use the table to read the expected return over the horizon and the tail outcomes
Remember it is a sketch based on your recent distribution, not a predictor
Concrete examples
Example A: Modest martingale
Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing.
Example B: Aggressive martingale
Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk.
Strengths
Bar-by-bar, transparent computation of equity from stance and size
Explicit handling of wins, losses, streaks, and caps
Portable signal inputs so you can A–B test ideas quickly
Risk diagnostics and forward uncertainty visualization in one place
Example, Rolling Max Drawdown
Limitations and important notes
Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs.
No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled.
Signals are evaluated on closes. Real execution and fills will differ.
Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes.
All results are hypothetical. Use this as an educational tool, not a production risk engine.
Practical tips
Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples.
Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg.
Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear.
Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off.
If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop.
Settings recap
Backtest start date and initial capital
Initial allocation, increase-after-loss factor, max allocation cap
Signal source selector
Trading days per year and risk-free rate
Benchmark symbol for Alpha and Beta
UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown
Monte Carlo controls for enable, runs, horizon, and result table
Final thoughts
A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
XAU 0/5 GridThis indicator draws horizontal price grids for XAUUSD. It anchors the grid to a base price that ends with 0 or 5, then plots equally spaced levels every 5 price units above and below that base. It’s a clean way to eyeball fixed-interval structure for rough support/resistance zones and simple TP/SL planning.
How it works
Base (0/5):
base = floor(close / 5) × 5 → forces the base to always end with 0/5.
Grid levels:
level_i = base + i × 5, where i is any integer (positive/negative).
The script updates positions only when the base changes to avoid flicker and reduce chart load.
It uses a persistent line array to manage the line objects efficiently.
Usage
Add the indicator to an XAUUSD chart on any timeframe.
Configure in the panel:
Show Lines – toggle visibility
Lines each side – number of lines above/below the base
Line Color / Line Width – appearance
Use the grid as fixed reference levels (e.g., 3490, 3495, 3500, 3505, …) for planning TP/SL or observing grid breaks.
Highlights
Strict 0/5 anchoring keeps levels evenly spaced and easy to read on gold.
Auto-reanchors when price moves to a new 0/5 zone, maintaining a steady view.
Lightweight design: lines are created once and then updated, minimizing overhead.
Limitations
Visualization only — not a buy/sell signal.
Spacing is fixed at 5 price units, optimized for XAUUSD. If used on other symbols/brokers with different tick scales, adjust the logic accordingly.
Grid lines do not guarantee support/resistance; always combine with broader market context.
RSI Multi Time FrameWhat it is
A clean, two-layer RSI that shows your chart-timeframe RSI together with a higher-timeframe (HTF) RSI on the same pane. The HTF line is drawn as a live segment plus frozen “steps” for each completed HTF bar, so you can see where the higher timeframe momentum held during your lower-timeframe bars.
How it works
Auto HTF mapping (when “Auto” is selected):
Intraday < 30m → uses 60m (1-hour) RSI
30m ≤ tf < 240m (4h) → uses 240m (4-hour) RSI
240m ≤ tf < 1D → uses 1D RSI
1D → uses 1W RSI
1W or 2W → uses 1M RSI
≥ 1M → keeps the same timeframe
The HTF series is requested with request.security(..., gaps_off, lookahead_off), so values are confirmed bar-by-bar. When a new HTF bar begins, the previous value is “frozen” as a horizontal segment; the current HTF value is shown by a short moving segment and a small dot (so you can read the last value easily).
Visuals
Current RSI (chart TF): solid line (color/width configurable).
HTF RSI: same-pane line + tiny circle for the latest value; historical step segments show completed HTF bars.
Guides: dashed 70 / 30 bands, dotted 60/40 helpers, dashed 50 midline.
Inputs
Higher Time Frame: Auto or a fixed TF (1, 3, 5, 10, 15, 30, 45, 60, 120, 180, 240, 360, 480, 720, D, W, 2W, M, 3M, 6M, 12M).
Length: RSI period (default 14).
Source: price source for RSI.
RSI / HTF RSI colors & widths.
Number of HTF RSI Bars: how many frozen HTF segments to keep.
Reading it
Alignment: When RSI (current TF) and HTF RSI both push in the same direction, momentum is aligned across frames.
Divergence across frames: Current RSI failing to confirm HTF direction can warn about chops or early slowdowns.
Zones: 70/30 boundaries for classic overbought/oversold; 60/40 can be used as trend bias rails; 50 is the balance line.
This is a context indicator, not a signal generator. Combine with your entry/exit rules.
Notes & limitations
HTF values do not repaint after their bar closes (lookahead is off). The short “live” segment will evolve until the HTF bar closes — this is expected.
Very small panels or extremely long histories may impact performance if you keep a large number of HTF segments.
Credits
Original concept by LonesomeTheBlue; Pine v6 refactor and auto-mapping rules by trading_mura.
Suggested use
Day traders: run the indicator on 5–15m and keep HTF on Auto to see 1h/4h momentum.
Swing traders: run it on 1h–4h and watch the daily HTF.
Position traders: run on daily and watch the weekly HTF.
If you find it useful, a ⭐ helps others discover it.
X-Scalp by LogicatX-Scalp by Logicat — Clean-Range MTF Scalper
Turn noisy intraday action into clear, actionable scalps. X-Scalp builds “Clean Range” zones only when three timeframes agree (default: M30/M15/M5), then waits for a single, high-quality M5 confirmation to print a BUY/SELL label. It’s fast, simple, and ruthlessly focused on precision.
What it does
Clean Range zones: Drawn from the last completed M30 candle only when M30/M15/M5 align (all green or all red).
Size filter (pips): Ignore tiny, low-value ranges with a configurable minimum height (auto-pip detection included).
Extend-until-mitigated: Zones stretch right and “freeze” on first mitigation (close inside or close beyond, your choice). Optional fade when mitigated.
Laser M5 entries (one per box):
Red M5 bar inside a green zone → SELL
Green M5 bar inside a red zone → BUY
Prints once per zone on the closed M5 candle—no spam.
Quality of life: Keep latest N zones, customizable colors, optional H4 reference lines, alert conditions for both zone creation and entries.
Why traders love it
Clarity: Filters chop; you see only aligned zones and one clean trigger.
Speed: Designed for scalpers on FX, XAU/USD, indices, and more.
Control: Tune lookback, pip threshold, mitigation logic, and visuals to fit your playbook.
Tips
Use on liquid sessions for best results.
Combine with your risk model (fixed R, partials at mid/edge, etc.).
Backtest different pip filters per symbol.
Disclaimer: No indicator guarantees profits. Trade responsibly and manage risk.
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework
Overview
ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength.
Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes.
How It Works
The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states:
Calm Tide : Low ADX values indicate sideways or consolidating conditions.
Rising Tide : ADX increases past a threshold, signaling momentum building.
Strong Tide : ADX remains elevated, confirming robust and sustained trend strength.
Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups.
These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action.
Interpretation
Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions.
Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively.
Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation.
Strategy Integration
ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks:
Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum.
Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases.
Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals.
Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals.
Advanced Techniques
For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods:
Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through.
Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend.
Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading.
Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide.
Inputs & Customization
ADX Length : Define the lookback period for ADX calculation.
Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides.
Zone Visualization : Choose between bar coloring, background shading, or overlays.
Color Customization : Configure bullish, bearish, neutral, and tide-specific colors.
Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation.
Why Use ADX Tide Zones
ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can:
Anticipate breakouts before volatility expands.
Confirm the strength behind price trends.
Spot exhaustion phases early to secure profits or prepare for reversals.
Adapt strategies seamlessly between scalping, intraday, and swing trading.
With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Live Market - Performance MonitorLive Market — Performance Monitor
Study material (no code) — step-by-step training guide for learners
________________________________________
1) What this tool is — short overview
This indicator is a live market performance monitor designed for learning. It scans price, volume and volatility, detects order blocks and trendline events, applies filters (volume & ATR), generates trade signals (BUY/SELL), creates simple TP/SL trade management, and renders a compact dashboard summarizing market state, risk and performance metrics.
Use it to learn how multi-factor signals are constructed, how Greeks-style sensitivity is replaced by volatility/ATR reasoning, and how a live dashboard helps monitor trade quality.
________________________________________
2) Quick start — how a learner uses it (step-by-step)
1. Add the indicator to a chart (any ticker / timeframe).
2. Open inputs and review the main groups: Order Block, Trendline, Signal Filters, Display.
3. Start with defaults (OB periods ≈ 7, ATR multiplier 0.5, volume threshold 1.2) and observe the dashboard on the last bar.
4. Walk the chart back in time (use the last-bar update behavior) and watch how signals, order blocks, trendlines, and the performance counters change.
5. Run the hands-on labs below to build intuition.
________________________________________
3) Main configurable inputs (what you can tweak)
• Order Block Relevant Periods (default ~7): number of consecutive candles used to define an order block.
• Min. Percent Move for Valid OB (threshold): minimum percent move required for a valid order block.
• Number of OB Channels: how many past order block lines to keep visible.
• Trendline Period (tl_period): pivot lookback for detecting highs/lows used to draw trendlines.
• Use Wicks for Trendlines: whether pivot uses wicks or body.
• Extension Bars: how far trendlines are projected forward.
• Use Volume Filter + Volume Threshold Multiplier (e.g., 1.2): requires volume to be greater than multiplier × average volume.
• Use ATR Filter + ATR Multiplier: require bar range > ATR × multiplier to filter noise.
• Show Targets / Table settings / Colors for visualization.
________________________________________
4) Core building blocks — what the script computes (plain language)
Price & trend:
• Spot / LTP: current close price.
• EMA 9 / 21 / 50: fast, medium, slow moving averages to define short/medium trend.
o trend_bullish: EMA9 > EMA21 > EMA50
o trend_bearish: EMA9 < EMA21 < EMA50
o trend_neutral: otherwise
Volatility & noise:
• ATR (14): average true range used for dynamic target and filter sizing.
• dynamic_zone = ATR × atr_multiplier: minimum bar range required for meaningful move.
• Annualized volatility: stdev of price changes × sqrt(252) × 100 — used to classify volatility (HIGH/MEDIUM/LOW).
Momentum & oscillators:
• RSI 14: overbought/oversold indicator (thresholds 70/30).
• MACD: EMA(12)-EMA(26) and a 9-period signal line; histogram used for momentum direction and strength.
• Momentum (ta.mom 10): raw momentum over 10 bars.
Mean reversion / band context:
• Bollinger Bands (20, 2σ): upper, mid, lower.
o price_position measures where price sits inside the band range as 0–100.
Volume metrics:
• avg_volume = SMA(volume, 20) and volume_spike = volume > avg_volume × volume_threshold
o volume_ratio = volume / avg_volume
Support & Resistance:
• support_level = lowest low over 20 bars
• resistance_level = highest high over 20 bars
• current_position = percent of price between support & resistance (0–100)
________________________________________
5) Order Block detection — concept & logic
What it tries to find: a bar (the base) followed by N candles in the opposite direction (a classical order block setup), with a minimum % move to qualify. The script records the high/low of the base candle, averages them, and plots those levels as OB channels.
How learners should think about it (conceptual):
1. An order block is a signature area where institutions (theory) left liquidity — often seen as a large bar followed by a sequence of directional candles.
2. This indicator uses a configurable number of subsequent candles to confirm that the pattern exists.
3. When found, it stores and displays the base candle’s high/low area so students can see how price later reacts to those zones.
Implementation note for learners: the tool keeps a limited history of OB lines (ob_channels). When new OBs exceed the count, the oldest lines are removed — good practice to avoid clutter.
________________________________________
6) Trendline detection — idea & interpretation
• The script finds pivot highs and lows using a symmetric lookback (tl_period and half that as right/left).
• It then computes a trendline slope from successive pivots and projects the line forward (extension_bars).
• Break detection: Resistance break = close crosses above the projected resistance line; Support break = close crosses below projected support.
Learning tip: trendlines here are computed from pivot points and time. Watch how changing tl_period (bigger = smoother, fewer pivots) alters the trendlines and break signals.
________________________________________
7) Signal generation & filters — step-by-step
1. Primary triggers:
o Bullish trigger: order block bullish OR resistance trendline break.
o Bearish trigger: bearish order block OR support trendline break.
2. Filters applied (both must pass unless disabled):
o Volume filter: volume must be > avg_volume × volume_threshold.
o ATR filter: bar range (high-low) must exceed ATR × atr_multiplier.
o Not in an existing trade: new trades only start if trade_active is false.
3. Trend confirmation:
o The primary trigger is only confirmed if trend is bullish/neutral for buys or bearish/neutral for sells (EMA alignment).
4. Result:
o When confirmed, a long or short trade is activated with TP/SL calculated from ATR multiples.
________________________________________
8) Trade management — what the tool does after a signal
• Entry management: the script marks a trade as trade_active and sets long_trade or short_trade flags.
• TP & SL rules:
o Long: TP = high + 2×ATR ; SL = low − 1×ATR
o Short: TP = low − 2×ATR ; SL = high + 1×ATR
• Monitoring & exit:
o A trade closes when price reaches TP or SL.
o When TP/SL hit, the indicator updates win_count and total_pnl using a very simple calculation (difference between TP/SL and previous close).
o Visual lines/labels are drawn for TP and updated as the trade runs.
Important learner notes:
• The script does not store a true entry price (it uses close in its P&L math), so PnL is an approximation — treat this as a learning proxy, not a position accounting system.
• There’s no sizing, slippage, or fee accounted — students must manually factor these when translating to real trades.
• This indicator is not a backtesting strategy; strategy.* functions would be needed for rigorous backtest results.
________________________________________
9) Signal strength & helper utilities
• Signal strength is a composite score (0–100) made up of four signals worth 25 points each:
1. RSI extreme (overbought/oversold) → 25
2. Volume spike → 25
3. MACD histogram magnitude increasing → 25
4. Trend existence (bull or bear) → 25
• Progress bars (text glyphs) are used to visually show RSI and signal strength on the table.
Learning point: composite scoring is a way to combine orthogonal signals — study how changing weights changes outcomes.
________________________________________
10) Dashboard — how to read each section (walkthrough)
The dashboard is split into sections; here's how to interpret them:
1. Market Overview
o LTP / Change%: immediate price & daily % change.
2. RSI & MACD
o RSI value plus progress bar (overbought 70 / oversold 30).
o MACD histogram sign indicates bullish/bearish momentum.
3. Volume Analysis
o Volume ratio (current / average) and whether there’s a spike.
4. Order Block Status
o Buy OB / Sell OB: the average base price of detected order blocks or “No Signal.”
5. Signal Status
o 🔼 BUY or 🔽 SELL if confirmed, or ⚪ WAIT.
o No-trade vs Active indicator summarizing market readiness.
6. Trend Analysis
o Trend direction (from EMAs), market sentiment score (composite), volatility level and band/position metrics.
7. Performance
o Win Rate = wins / signals (percentage)
o Total PnL = cumulative PnL (approximate)
o Bull / Bear Volume = accumulated volumes attributable to signals
8. Support & Resistance
o 20-bar highest/lowest — use as nearby reference points.
9. Risk & R:R
o Risk Level from ATR/price as a percent.
o R:R Ratio computed from TP/SL if a trade is active.
10. Signal Strength & Active Trade Status
• Numeric strength + progress bar and whether a trade is currently active with TP/SL display.
________________________________________
11) Alerts — what will notify you
The indicator includes pre-built alert triggers for:
• Bullish confirmed signal
• Bearish confirmed signal
• TP hit (long/short)
• SL hit (long/short)
• No-trade zone
• High signal strength (score > 75%)
Training use: enable alerts during a replay session to be notified when the indicator would have signalled.
________________________________________
12) Labs — hands-on exercises for learners (step-by-step)
Lab A — Order Block recognition
1. Pick a 15–30 minute timeframe on a liquid ticker.
2. Use default OB periods (7). Mark each time the dashboard shows a Buy/Sell OB.
3. Manually inspect the chart at the base candle and the following sequence — draw the OB zone by hand and watch later price reactions to it.
4. Repeat with OB periods 5 and 10; note stability vs noise.
Lab B — Trendline break confirmation
1. Increase trendline period (e.g., 20), watch trendlines form from pivots.
2. When a resistance break is flagged, compare with MACD & volume: was momentum aligned?
3. Note false breaks vs confirmed moves — change extension_bars to see projection effects.
Lab C — Filter sensitivity
1. Toggle Use Volume Filter off, and record the number and quality of signals in a 2-day window.
2. Re-enable volume filter and change threshold from 1.2 → 1.6; note how many low-quality signals are filtered out.
Lab D — Trade management simulation
1. For each signalled trade, record the time, close entry approximation, TP, SL, and eventual hit/miss.
2. Compute actual PnL if you had entered at the open of the next bar to compare with the script’s PnL math.
3. Tabulate win rate and average R:R.
Lab E — Performance review & improvement
1. Build a spreadsheet of signals over 30–90 periods with columns: Date, Signal type, Entry price (real), TP, SL, Exit, PnL, Notes.
2. Analyze which filters or indicators contributed most to winners vs losers and adjust weights.
________________________________________
13) Common pitfalls, assumptions & implementation notes (things to watch)
• P&L simplification: total_pnl uses close as a proxy entry price. Real entry/exit prices and slippage are not recorded — so PnL is approximate.
• No position sizing or money management: the script doesn’t compute position size from equity or risk percent.
• Signal confirmation logic: composite "signal_strength" is a simple 4×25 point scheme — explore different weights or additional signals.
• Order block detection nuance: the script defines the base candle and checks the subsequent sequence. Be sure to verify whether the intended candle direction (base being bullish vs bearish) aligns with academic/your trading definition — read the code carefully and test.
• Trendline slope over time: slope is computed using timestamps; small differences may make lines sensitive on very short timeframes — using bar_index differences is usually more stable.
• Not a true backtester: to evaluate performance statistically you must transform the logic into a strategy script that places hypothetical orders and records exact entry/exit prices.
________________________________________
14) Suggested improvements for advanced learners
• Record true entry price & timestamp for accurate PnL.
• Add position sizing: risk % per trade using SL distance and account size.
• Convert to strategy. (Pine Strategy)* to run formal backtests with equity curves, drawdowns, and metrics (Sharpe, Sortino).
• Log trades to an external spreadsheet (via alerts + webhook) for offline analysis.
• Add statistics: average win/loss, expectancy, max drawdown.
• Add additional filters: news time blackout, market session filters, multi-timeframe confirmation.
• Improve OB detection: combine wick/body, volume spike at base bar, and liquidity sweep detection.
________________________________________
15) Glossary — quick definitions
• ATR (Average True Range): measure of typical range; used to size targets and stops.
• EMA (Exponential Moving Average): trend smoothing giving more weight to recent prices.
• RSI (Relative Strength Index): momentum oscillator; >70 overbought, <30 oversold.
• MACD: momentum oscillator using difference of two EMAs.
• Bollinger Bands: volatility bands around SMA.
• Order Block: a base candle area with subsequent confirmation candles; a zone of institutional interest (learning model).
• Pivot High/Low: local turning point defined by candles on both sides.
• Signal Strength: combined score from multiple indicators.
• Win Rate: proportion of signals that hit TP vs total signals.
• R:R (Risk:Reward): ratio of potential reward (TP distance) to risk (entry to SL).
________________________________________
16) Limitations & assumptions (be explicit)
• This is an indicator for learning — not a trading robot or broker connection.
• No slippage, fees, commissions or tie-in to real orders are considered.
• The logic is heuristic (rule-of-thumb), not a guarantee of performance.
• Results are sensitive to timeframe, market liquidity, and parameter choices.
________________________________________
17) Practical classroom / study plan (4 sessions)
• Session 1 — Foundations: Understand EMAs, ATR, RSI, MACD, Bollinger Bands. Run the indicator and watch how these numbers change on a single day.
• Session 2 — Zones & Filters: Study order blocks and trendlines. Test volume & ATR filters and note changes in false signals.
• Session 3 — Simulated trading: Manually track 20 signals, compute real PnL and compare to the dashboard.
• Session 4 — Improvement plan: Propose changes (e.g., better PnL accounting, alternative OB rule) and test their impact.
________________________________________
18) Quick reference checklist for each signal
1. Was an order block or trendline break detected? (primary trigger)
2. Did volume meet threshold? (filter)
3. Did ATR filter (bar size) show a real move? (filter)
4. Was trend aligned (EMA 9/21/50)? (confirmation)
5. Signal confirmed → mark entry approximation, TP, SL.
6. Monitor dashboard (Signal Strength, Volatility, No-trade zone, R:R).
7. After exit, log real entry/exit, compute actual PnL, update spreadsheet.
________________________________________
19) Educational caveat & final note
This tool is built for training and analysis: it helps you see how common technical building blocks combine into trade ideas, but it is not a trading recommendation. Use it to develop judgment, to test hypotheses, and to design robust systems with proper backtesting and risk control before risking capital.
________________________________________
20) Disclaimer (must include)
Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full backtesting and risk management, and consider seeking advice from a qualified financial professional before trading with real capital.
________________________________________
How to Reposition A Table CellOVERVIEW
Using table functions in Pine Script is one of the most effective methods for reporting and interpreting data in a readable manner. However, the built-in capabilities for dynamically repositioning table location are limited. To extend these limitations, a small intervention to the script may be required. This indicator exemplifies how such intervention can be modeled.
CONCEPTS
This indicator provides comprehensive control over table positioning through several user-defined parameters that work together to create flexible display options.
Text Parameters : These five string inputs allow users to define the content displayed in the table. Each parameter accepts custom text that will be displayed as separate rows within the table cell. (The relevant parameters are designed as examples. When implementing the code into your own scripts, you can use series string variables instead of the those inputs.)
Horizontal Offset : This integer parameter controls the horizontal positioning of the table content. Negative values shift the table content to the left, while positive values move it to the right. The offset is multiplied by a spacing factor (currently set to 4) to provide more noticeable movement. This parameter is particularly useful when you need to avoid overlapping with other chart elements or align multiple indicators.
Vertical Offset : This integer parameter manages the vertical positioning by adding line breaks above or below the content. Negative values push the content downward by adding line breaks at the beginning, while positive values elevate the content by adding line breaks at the end. This creates effective vertical spacing without affecting the table's base position.
Table Position : This parameter accepts values from 1 to 9, corresponding to the standard TradingView table positions arranged in a 3x3 grid format (1-3: top row, 4-6: middle row, 7-9: bottom row). This serves as the base positioning before any offset adjustments are applied, providing users with familiar reference points for initial placement.
FUNCTION
The core functionality centers on the custom f_position() function, which processes text positioning based on horizontal and vertical offset values. For vertical positioning, it adds line breaks before or after content depending on the offset direction. For horizontal positioning, it splits the text by rows and adds calculated spaces to each row, maintaining proper alignment across multi-line content. The spacing uses a fixed multiplier of 4, providing good balance between precision and visible movement.
ORIGINALITY & NOTES
Tihs indicator,
introduces a novel approach to table positioning that goes beyond TradingView's standard 9-position limitation by implementing custom offset calculations that allow pixel-level control over table placement.
serves as an educational resource, demonstrating advanced Pine Script techniques for UI manipulation that can be adapted for various custom indicator developments.
is particularly valuable for developers creating complex dashboard layouts or educational materials where precise positioning is crucial. The modular design of the positioning function makes it easily adaptable for other projects requiring similar functionality.
I hope it helps everyone, Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Natal & Transit Planetary Aspect Table📐 Natal & Transit Planetary Aspect Table
This open-source TradingView indicator displays a customizable table of astrological aspects between natal (first trade or custom date) planetary positions and current/live transits. Built in Pine Script v6, it leverages the AstroLib library for accurate geocentric or heliocentric longitude calculations, supporting a range of financial assets and historical events. Ideal for astro-finance enthusiasts, it highlights major and minor aspects with orbs, applying/separating status, and color-coded visuals. Supports 10 planetary bodies in geocentric mode (Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) or 11 in heliocentric mode (adds Earth).
Why Use This Indicator?
Astrology offers a unique lens for market analysis by examining planetary alignments relative to an asset's "birth" date (e.g., first trade), potentially revealing cycles, trends, and timing insights that complement technical and fundamental strategies. This tool empowers traders to integrate astro-finance principles, visualizing cosmic influences that may correlate with price movements, reversals, or volatility—backed by historical presets and customizable options for personalized research.
Key Features:
- 23 preset natal dates for assets like BTC, ETH, NYSE, and more (e.g., BTC genesis block on 2009-01-03), with credits to Susan Abbott Gidel for most of the first trade dates from her book " Trading In Sync With Commodities: Introducing Astrology To Your Technical Toolbox ."
- Manual natal and transit timestamp inputs for flexibility.
- Supports geocentric (default) or heliocentric views (displayed as 𝒢 or ℋ in the table), with adjustable observer location (latitude, longitude, timezone).
- Configurable aspects: Conjunction (☌), Opposition (☍), Trine (△), Square (□), Sextile (⚹), and minors like Semi-Sextile (⚺), Quincunx (⚻), etc., with user-defined orbs and colors.
- Applying (a) or separating (s) status is determined by comparing the orb on the current bar to the previous one—if decreasing, applying; if increasing, separating. This simplified approach may differ from traditional astrological methods that consider planetary speeds, directions (direct/retrograde), and which body is faster/slower.
- Table displays planet symbols or names, degrees/signs with tooltips showing exact longitude (e.g., hovering over a planet symbol reveals its precise degree), and aspect symbols/tags (e.g., ⚹a for applying sextile).
- Tooltip on the dates cell to view the exact transit and natal dates for easy tracking.
- Live mode updates with chart timeframe; test mode allows the user to move the transit date historically or to the future via a custom timestamp.
- Customizable table position, text size, colors, and visibility.
How to Use:
1. Add the indicator to your TradingView chart.
2. Select a preset or manual natal date in settings.
3. Choose live transits or test mode with a custom timestamp.
4. Enable/disable aspects and adjust orbs/colors as needed.
5. Hover over cells for detailed tooltips (e.g., exact orb and applying/separating status).
Powered by @BarefootJoey AstroLib for ephemeris data. For best accuracy, verify positions against external sources.
