BT LigmaThe BT Ligma indicator combines momentum-based signals with volatility filters to identify potential trend reversals and high-probability entry points.
It uses a set of Exponential Moving Averages (EMAs) – typically a fast EMA (e.g., 9-period) crossing over a slower one (e.g., 21-period) – to generate baseline buy/sell signals. These are enhanced by a proprietary "Ligma Spread" filter, which measures the dynamic spread between short-term price action and a volatility envelope (similar to Bollinger Bands but customized with ATR multipliers). This filter helps weed out false signals in choppy markets by requiring a minimum spread threshold before confirming a trade alert.
BT Ligma allows a user to select up to 3 EMAs, the MA calculation method, and signal individual candles that cross EMA 1 & 2, or all 3 bands in the same bar.
Version 1.4, includes refined alert logic, including audio/visual notifications and optional trailing stops based on EMA alignments.
To use it effectively for trade entries:
Long (Buy) Entries: Look for a bullish EMA crossover (fast EMA above slow) combined with a positive Ligma Spread expansion (indicating increasing momentum). Enter when the signal fires on a close above the recent swing high, ideally on a timeframe like 15m or 1h for scalping/day trading. Pair this with volume confirmation or RSI above 50 to avoid overbought traps.
Short (Sell) Entries: Wait for a bearish EMA crossover (fast below slow) with a contracting or negative Ligma Spread (signaling potential downside volatility). Enter on a close below the recent swing low, using higher timeframes (e.g., 4h) for swing trades to capture larger moves.
General Tips: Always apply risk management – set stops below/above the slow EMA, target 2-3x risk-reward ratios, and avoid trading during low-liquidity periods. Backtest on historical data to tweak parameters, and combine with fundamentals like news events for better context.
Penunjuk dan strategi
Delta Magnet Zone Extended – Selective HideLiquidity Zone Reversal — Description 🔍📊
This indicator automatically identifies liquidity zones where price previously grabbed orders, swept highs/lows, or created strong reaction points. Instead of plotting thin lines, this version converts those levels into zones, giving traders a clearer view of where the market has unfinished business and where future reactions are likely to occur.
These zones act as institutional magnets — areas where liquidity providers, algos, and larger players commonly enter or exit positions.
How It Works ⚙️💡
The script scans recent price action and detects local swing highs and lows. It then builds rectangular liquidity zones around these levels, extending them forward so you can see:
🟥 Bearish liquidity sweep zones
🟩 Bullish liquidity sweep zones
🔁 Areas where price previously failed, rejected, or consolidated
🎯 Potential reversal targets on both sides of the market
These zones update automatically as new structure forms, giving you an always-current map of market memory.
Why the 9-Day Look-Back Is Powerful (My Default) 📅✨
I personally keep the look-back set to 9 days by default because:
✔️ It captures the entire previous trading week
✔️ It maps out where SPY/QQQ/ES has already tapped liquidity
✔️ It shows the true zones institutions defended
✔️ It reveals where price is most likely to react again moving forward
Using a 9-day window gives you a clean, high-signal map of:
Last week’s highs & lows
Prior liquidity sweeps
Rejection zones
Imbalance cleanup levels
This keeps the chart minimal, powerful, and hyper-relevant to current order flow.
How Traders Use These Zones 🎯📈
Here are the most common ways traders use these liquidity zones:
1️⃣ Identify High-Probability Reversal Areas 🔄
Price often reacts strongly when returning to a past liquidity zone — especially if it previously swept stops there.
2️⃣ Confirm Breakouts or Failures 🚪➡️
Break above a bearish zone?
Momentum continuation is likely.
Reject inside a zone?
Reversal or range expansion often follows.
3️⃣ Set Targets & Stop Placement 🎯🛡️
Zones give logical:
Profit targets
Trend exhaustion points
Areas to avoid entering new trades
4️⃣ Time 0DTE Scalps With Precision ⚡
Liquidity zones tighten your expectations for:
Where SPY/QQQ will bounce
Where reversals start
Where liquidity magnets pull price by end of day
Why This Indicator Matters 🧠🔥
Liquidity drives markets.
Not indicators.
Not moving averages.
Not random levels.
This tool shows you where actual orders exist, where they were previously swept, and where institutions are most likely to step in again.
It gives you:
Cleaner charts
Higher confidence
Better strike selection
More precise entries
Stronger exits
All without noise.
Eurovision - EURUSD Market SpecialistProfessional EURUSD trading signals with adaptive parameters
Performance Expectations
Win Rate || 60-70% || Adaptive parameters
Risk/Reward || 1:2.0 || Session optimization
Max Drawdown || <15% || News filter protection
Sharpe Ratio || >1.5 || Multi-timeframe confluence
Signals per Day || 3-8 || EURUSD-specific filtering
Tip: The indicator works best as an overlay on EURUSD M5 charts!
SPY Daily Expected Move • Manual VIXSPY Daily Expected Move • Manual VIX — Description 📈🔥
This indicator calculates the daily expected move (EM) for SPY using a manual VIX input, then draws the projected high and low boundaries for the trading session.
It automatically retrieves the previous day’s closing price (or today’s open if you choose), then applies a volatility-based formula to estimate the range SPY is statistically likely to remain within. 📊
How the Expected Move Is Calculated 🧮
This indicator uses a simplified institutional volatility model:
\text{Expected % Move} = \frac{\text{VIX}}{\sqrt{252}}
This daily percentage is multiplied by your chosen baseline price:
📘 Previous Close (recommended — most accurate)
🌅 Today’s Open
✏️ Custom Price
And the script automatically plots:
🔼 Expected High
🔽 Expected Low
🏷️ Optional labels + info panel
Choosing the Correct Baseline 🎯
The baseline is one of the most important components of the expected move calculation.
Previous Day’s Close (Strongly Recommended) ✔️
Used by:
🏦 Market makers
🎛️ Options market makers
📐 Institutional volatility models
Expected move represents full-day implied volatility, making the previous close the mathematically correct anchor for SPY.
Using the VIX Input 🌡️
Enter the current VIX, taken from /VX futures or the ^VIX index.
⬆️ Higher VIX = larger expected move
⬇️ Lower VIX = tighter expected move
This lets you align SPY’s session range with real-time volatility conditions.
Recommended VIX-Based Multiplier Adjustments 🔧
The multiplier input allows you to fine-tune the expected move in different volatility regimes.
VIX Level Market Condition Recommended Multiplier
🟦 < 13 Very low volatility 0.9 — tight EM
🟩 13–18 Normal conditions 1.0 (default)
🟨 18–25 Elevated volatility 1.05 – 1.1
🟧 25–35 High volatility 1.2 – 1.3
🟥 > 35 Extreme volatility 1.4 – 1.6
These adjustments reflect how SPY’s actual intraday range stretches during higher volatility periods.
Why This Indicator Matters for SPY Traders 🚀
SPY is the most heavily traded ETF in the world, and market makers heavily rely on expected move to price options.
Because of that:
🧲 EM levels often act as dynamic support/resistance
📛 Breaks above/below EM can trigger gamma-driven trend days
🔄 Sweeps around EM frequently produce high-probability reversal zones
This indicator provides a statistically grounded framework that helps traders anticipate where SPY is most likely to:
move
stall
reverse
expand beyond expected range
All with clean, auto-updating levels that adjust daily based on your input of previous close price and the current VIX opening price.⚡📘
AlphaRank Fear & Greed Ultimate DashboardYour charts are messy. Your signals shouldn't be.
Most traders clog their screens with RSI, Stochastic, and Volume indicators that all contradict each other. The
AlphaRank Fear & Greed Dashboard acts as your "Market Lie Detector." It synthesizes the market's vital signs into a single, crystal-clear metric (0-100), functioning like a Heads-Up Display (HUD) for market psychology.
This isn't just an indicator; it is a noise filter. It helps you separate meaningless price fluctuation from significant emotional extremes: Capitulation (Fear) and Euphoria (Greed).
✨ Clean by Default (The HUD Experience)
We designed this for the Modern Minimalist. By default, this tool keeps your price action 100% pristine. It overlays a compact, data-rich Dashboard that gives you macro context without obscuring your candles.
💡 Pro Tip:
Overlay on Price Want the dashboard floating right on your main chart?
Hover over the indicator name AlphaRank F&G.
Click the More (three dots ...) menu.
Select "Move to" → "Existing pane above".
Result: A professional HUD overlaid perfectly on your price action.
🧠 The Logic (Why it works)
Single indicators often produce false signals. This script utilizes a Weighted Composite Engine that cross-references four distinct market forces to build a high-probability consensus score:
Momentum: Measures the velocity of price (RSI).
Volume Flow: Validates if "Smart Money" supports the move (MFI).
Volatility: Detects statistical over-extension (Bollinger Bands).
Trend Cycle: Identifies cyclical turning points (CCI).
The Result: A smoothed, robust signal that filters out the "fake-outs" common in lower timeframes.
📚 Visual Features & Configuration
1. The Dashboard (Your Cockpit)
Live Score: Instant 0-100 reading with Emoji status.
Historical Context: The footer displays "Prev" (Yesterday), "R7" (7-bar avg), and "R30" (30-bar avg).
Strategy: If the Current Score is dropping while R7 remains high, momentum is cooling off.
2. Visual Modes (Graph)
Want to see the data visually? Go to settings and enable "Show Historical Graph".
Pro Bars: Color-coded zones (Green for Greed, Red for Fear).
Area Cloud: A modern, filled visual for trend spotting.
Classic Line: Standard oscillator view.
3. Smart Signals
Signal Icons: Enable this to plot directional labels (Greed/Fear) on the chart exactly when sentiment hits an extreme.
Dynamic Backgrounds: The chart background subtly glows Red or Green when hitting extremes—giving you peripheral awareness without needing to read numbers.
🎯 How to Trade the Score
0 - 25 (EXTREME FEAR 😱): The market is likely oversold. Investors are capitulating. Historically, this is a zone to look for Value / Long entries.
75 - 100 (EXTREME GREED 🤑): The market is euphoric. Prices are likely stretched. Historically, this is a zone to Take Profits or tighten stops.
Timeframe Guide:
Macro View: Use on Daily (1D) for the most accurate "Official" sentiment.
Scalping: The engine is Dynamic. Load it on a 15m chart to see "Intraday Fear & Greed" for precision scalping.
Follow my work and more indicators at: www.tradingview.com
⚠️ Disclaimer
For Educational Purposes Only. This script and the data it provides do not constitute financial advice, investment recommendations, or trading signals. The "Fear & Greed" score is a technical derivative of price and volume data. Always perform your own due diligence and risk management before making any trading decisions. Past performance is not indicative of future results.
Follow me for more quality high value content
Pristine Adaptive Alpha ScreenerThe Pristine Adaptive Alpha Screener allows users to screen for all of the trading signals embedded in our premium suite of TradingView tools🏆
▪ Pristine Value Areas & MGI - enables users to perform comprehensive technical analysis through the lens of the market profile in a fraction of the time!
▪ Pristine Fundamental Analysis - enables users to perform comprehensive fundamental stock analysis in a fraction of the time!
▪ Pristine Volume Analysis - organizes volume, liquidity, and share structure data, allowing users to quickly gauge the relative volume a security is trading on, and whether it is liquid enough to trade
💠 How is this Screener Original?
▪ The screener allows users to screen for breakouts, breakdowns, bullish and bearish trend reversals, and allows users to narrow a universe of stocks based purely on fundamentals, or purely on technicals. One screening tool to support an entire technofundamental workflow!
💠 Signals Overview
Each of the below signals serves one of two purposes:
1) A pivot point to be used as a long or short entry
2) A tool for narrowing a universe of stocks to a shorter list of stocks that have a higher potential for superperformance
▪ HVY(highest volume in a year) -> Featured in Pristine Volume Analysis -> Entry signal
▪ Trend Template -> Inspired by Mark Minervini's famous trend filters -> Tool for narrowing a universe of stocks to a shorter list with a higher potential for superperformance
▪ Rule of 100 -> Metrics from Pristine Fundamental Analysis -> Tool for narrowing a universe of stocks to a shorter list with a higher potential for superperformance
▪ Bullish 80% Rule -> Featured in Pristine Value Areas & MGI -> Long entry signal -> Trend Reversal
▪ Bearish 80% Rule -> Featured in Pristine Value Areas & MGI -> Short entry signal -> Trend Reversal
▪ Break Above VAH -> Featured in Pristine Value Areas & MGI -> Long entry signal -> Trend Continuation
▪ Break Below VAL -> Featured in Pristine Value Areas & MGI -> Short entry signal -> Trend Continuation
💠 Signals Decoded
▪ HVY(highest volume in a year)
Volume is an important metric to track when trading, because abnormally high volume tends to occur when a new trend is kicking off, or when an established trend is hitting a climax. Screen for HVY to quickly curate every stock that meets this condition.
▪ Trend Template
Mark Minervini's gift to the trading world. Via his book "Think and Trade Like a Stock Market Wizard". Stocks tend to make their biggest moves when they are already in uptrends, and the Minervini Trend template provides criteria to assess whether a stock is in a clearly defined uptrend. Filter for trend template stocks using our tool.
▪ Rule of 100
Pristine Capital's gift to the trading world. The rule of 100 filters for stocks that meet the following condition: YoY EPS Growth + YoY Sales Growth >= 100%. Stocks that meet this criteria tend to attract institutional investors, making them strong candidates for swing trading to the long side.
💠 Market Profile Introduction
A Market Profile is a charting technique devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), in the 1980's. He created it to gain a deeper understanding of market behavior and to analyze the auction process in financial markets. A market profile is used to analyze an auction using price, volume, and time to create a distribution-based view of trading activity. It organizes market data into a bell-curve-like structure, which reveals areas of value, balance, and imbalance.
💠 How is a Value Area Calculated?
A value area is a distribution of 68%-70% of the trading volume over a specific time interval, which represents one standard deviation above and below the point of control, which is the most highly traded level over that period.
The key reference points are as follows:
Value area low (VAL) - The lower boundary of a value area
Value area high (VAH) - The upper boundary of a value area
Point of Control (POC) - The price level at which the highest amount of a trading period's volume occurred
If we take the probability distribution of trading activity and flip it 90 degrees, the result is our Pristine Value Area!
Market Profile is our preferred method of technical analysis at Pristine Capital because it provides an objective and repeatable assessment of whether an asset is being accumulated or distributed by institutional investors. Market Profile levels work remarkably well for identifying areas of interest, because so many institutional trading algorithms have been programmed to use these levels since the 1980's!
The benefits of using Market Profile include better trade location, improved risk management, and enhanced market context. It helps traders differentiate between trending and consolidating markets, identify high-probability trade setups, and adjust their strategies based on whether the market is in balance (consolidation) or imbalance (trending). Unlike traditional indicators that rely on past price movements, Market Profile provides real-time insights into trader behavior, giving an edge to those who can interpret its nuances effectively.
▪ Bullish 80% Rule
If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
▪ Bearish 80% Rule
If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
▪ Break Above VAH
When a security is inside value, the auction is in balance. When it breaks above a value area, it could be entering a period of upward price discovery. One can trade these breakouts with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
▪ Break Below VAL
When a security is inside value, the auction is in balance. When it breaks below a value area, it could be entering a period of downward price discovery. One can trade these breakdowns with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
CHWY broke below the monthly value area on 7/20/23👇
CHWY proceeded to decline -53.11% in the following 64 trading sessions following the monthly VAL breakdown!
💠 Metric Columns
▪ %𝚫 - 1-day percent change in price
▪ YTD %𝚫 - Year-to-date percent change in price
▪ MTD %𝚫 - Month-to-date percent change in price
▪ MAx Moving average extension - ATR % multiple from the 50D SMA -Inspired by Jeff Sun
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low. Readings near 100% indicate close proximity to a 52wk high and readings near 0% indicate close proximity to a 52wk low
▪ Avg $Vol - Average volume (50 candles) * Price
▪ Vol RR - Candle volume/ Avg candle volume
💠 Best Practices
Monday -> Friday Post-market Analysis
1) Begin with a universe of stocks. I use the following linked universe screen as a starting point: www.tradingview.com
2) Screen for the HVY signal -> Add those stocks to a separate flagged (colored) watchlist
3) Screen for the Bullish 80% Rule signal -> Add those stocks to a separate flagged (colored) watchlist
4) Screen for the Break Above VAH Signal -> Add those stocks to a separate flagged (colored) watchlist
5) Screen for the Break Below VAL Signal -> Add those stocks to a separate flagged (colored) watchlist
6) Screen for the Bearish 80% Rule Signal -> Add those stocks to a separate flagged (colored) watchlist
7) Screen for the Bearish 80% Rule Signal -> Add those stocks to a separate flagged (colored) watchlist
8) Screen for the Trend Template Signal -> Add those stocks to a separate flagged (colored) watchlist
9) Toggle through each list and analyze each stock chart using the Supercharts tool in TradingView
10)Record the number of stocks in each list as a way of analyzing market conditions
Weekend Analysis
1) Begin with a universe of stocks. I use the following linked universe screen as a starting point: www.tradingview.com
2) Screen for the Rule of 100 Signal. Use this as a starting point for deeper fundamental and/or thematic and/or technical research
3) Screen for stocks that meet specific performance thresholds, such as YTD %𝚫 > 100% etc
💠 Get Creative
▪Users have the ability to layer signals on top of each other when screening. To do so, filter for a signal, and then filter your new list by another signal! Play around with the screener, and find what works best for you!
1xin 買賣buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
QQQ Daily Expected Move • Manual VIXQQQ Daily Expected Move • Manual VIX — Description 📈⚡
This indicator calculates the daily expected move (EM) for QQQ using a manual VIX input, then draws the projected high and low boundaries for the session.
It automatically pulls the previous day’s closing price (or today’s open if selected) and applies a volatility-based formula to estimate the range QQQ is statistically likely to stay within. 📊
How the Expected Move Is Calculated 🧮
The formula uses a simplified volatility model:
\text{Expected % Move} = \frac{\text{VIX}}{\sqrt{252}}
This percentage is then applied to your selected baseline price:
📘 Previous Close (recommended — most accurate)
🌅 Today’s Open
✏️ Custom Price
The indicator automatically plots:
🔼 Expected High
🔽 Expected Low
🏷️ Optional labels + info panel for quick reference
Choosing the Correct Baseline 🎯
The baseline matters — a lot. Using the correct anchor improves accuracy dramatically.
Previous Day’s Close (Best Practice) ✔️
This is the institutional standard used by:
🏦 Market makers
📉 Options desks
📚 Professional volatility models
Because EM reflects full-day volatility, the prior close is mathematically the most accurate anchor.
Using the VIX Input 🌡️
Enter the current VIX manually (from /VX or ^VIX).
⬆️ When VIX rises → EM widens
⬇️ When VIX falls → EM tightens
Suggested VIX-Based Adjustments 🔧
Use the multiplier to fine-tune the expected move.
VIX Level Market Condition Recommended Multiplier
🟦 < 13 Very low volatility 0.9 – slightly tighter EM
🟩 13–18 Normal conditions 1.0 (default)
🟨 18–25 Elevated volatility 1.05 – 1.1
🟧 25–35 High volatility 1.2 – 1.3
🟥 > 35 Extreme volatility 1.4 – 1.6
Multipliers help the EM adapt to different volatility regimes so the ranges remain realistic.
Why This Indicator Matters 🚀
Market makers price daily options around the expected move.
Because of this:
🧲 EM boundaries often behave like dynamic support & resistance
📛 Breaks of EM commonly trigger gamma-driven trend days
🔄 Sweeps around EM often create high-probability reversals
This tool gives traders a statistically grounded framework to anticipate where QQQ is most likely to move, stall, reverse, or expand, with clean auto-updating levels every trading day.
Adjusting the previous day’s close, opening price, and VIX input lets you model the market like a volatility desk — but in a simple, transparent format. 📘✨
CandleMapTF — Automatic Position ToolDescription:
This Pine Script code creates an "Automatic Position Tool" for TradingView that visually
manages a trade's entry, stop-loss, and take-profit levels based on user-defined parameters.
Features:
- Entry Price & Time: Manually set when and at what price the trade begins.
- Side: Choose "Long" or "Short".
- Risk %: Determines how far the stop-loss is from the entry.
- RR Ratio: Multiplies the distance to the SL to calculate TP.
- SL/TP Prices: Dynamically computed based on trade direction.
Disclaimer:
This script is for educational and informational purposes only and does not
constitute financial advice, investment advice, or a trading recommendation.
Use at your own risk.
TrapMap Basic — Saël LabTrapMap — Saël Lab (Basic Edition)
Short Description (Final English Version)
TrapMap — Saël Lab
A structural imbalance detector that identifies two opposite forms of mismatch between internal movement energy and the actual price result.
When impulse strength and price displacement do not align, a trap is formed.
Why there are two types of traps
Imbalance can appear in both directions.
1) EnergyTrap — high energy, low price movement
The market shows strong internal activity:
– many trades but small in size,
– growing impulse, acceleration, local pressure,
– overall flow that normally should push the market.
Yet the price barely moves.
This often indicates:
• absorbed liquidity,
• fake strength,
• failed breakout attempts,
• resistance from a larger participant.
2) PriceTrap — strong price move, weak underlying energy
Price moves an unusually large distance relative to ATR:
– a sharp push,
– fast displacement over several bars.
But the internal structure is weak:
– few trades, but with larger size,
– low impulse acceleration,
– insufficient pressure to justify the move.
This behavior suggests:
• exhaustion of the current move,
• manipulative spikes,
• stop-runs,
• false momentum without supporting flow.
Core Logic
TrapMap analyzes:
• normalized impulse energy (speed × strength),
• trade structure (many small vs few large trades),
• ATR-based displacement,
• comparison of energy vs result across a multi-bar window,
• directional context of the attempted move.
A trap forms when the outcome is inconsistent with the effort,
or the move is not supported by internal energy.
Use Cases
• detecting false breakouts,
• filtering weak impulses,
• identifying manipulation zones,
• spotting trend exhaustion,
• analyzing uncertainty around local highs and lows.
Works on all markets and timeframes.
© Saël Lab
Created through the dialogue of analysis and intelligence.
The Morning Map Out- V1.0The Morning Map Out (MMO) delivers the complete blueprint to your chart, automatically.
Every level is generated by our proprietary engine and then meticulously reviewed and curated by our team of professional traders each morning. This unique fusion of automation and expert oversight is our secret sauce.
Now, you have an on-demand map for every asset that matters. If TSLA is moving, you have its levels. If SPY is at a critical juncture, you have the blueprint. You will never fly blind again.
Core Coverage: SPY, QQQ, ES, NQ, NVDA, TSLA, AAPL, MSFT, AMZN & more.
This is your new daily edge.
FDL Horizontal Levels + EMAs (US30 & YM1)What this indicator does
This tool automatically plots institutional horizontal levels so traders don’t need to draw them manually. These levels are commonly used in the FIPS Don’t Lie methodology and frequently act as areas of respect or reaction, especially on lower timeframes.
Along with the levels, the indicator includes the 100 EMA and 200 EMA, which serve as higher-probability trend and confluence references. Using institutional levels together with EMAs allows traders to quickly identify trend direction, potential high-probability reaction zones, and areas where price may seek liquidity or show reversals.
Why this is original / useful
• The indicator removes the manual process of drawing institutional levels on every session or chart.
• The levels are calculated programmatically and updated automatically.
• All tools used in the FIPS Don’t Lie methodology (institutional levels + 100/200 EMAs) are combined into one place for convenience and price-action clarity.
• Helps traders speed up charting, maintain consistency, and focus on reading market structure.
How to use
• Best performance is on lower timeframes: 3-minute, 5-minute, or 30-minute charts.
• The institutional levels act as potential reaction zones, liquidity areas, or targets based on how price interacts with them.
• The 100 EMA and 200 EMA help identify overall trend direction.
• When price aligns with both EMAs and institutional levels, this forms a clean confluence setup within the FIPS Don’t Lie strategy.
Recommended timeframes
✔ 3m
✔ 5m
✔ 30m
Not recommended
✘ Daily
✘ 4H
✘ 3H
Higher timeframes do not reflect the intended intraday institutional behavior used in this methodology.
Notes
• This indicator was created by a Fibs Don’t Lie student, for the Fibs Don’t Lie community and for anyone who wants to apply the same confluence-based approach without manually drawing the levels.
• The goal is to provide an all-in-one price-action tool so traders can focus on reading structure without constantly re-adding EMAs or redrawing levels.
• The script does not generate signals or entries, it is strictly a price-action and confluence tool.
1xin buy sell 2buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
buy and sell
3x EMA Strategy (Weekly)Based on certain conditions between multiple Exponential Moving Averages on a weekly timeframe, the chart is highlighted in either red/green.
Multi-TimeCycle SMT Live DetectorThis indicator is a multi-asset, multi-timeframe SMT Live detector designed to work on any symbol (indices, futures, FX, crypto, stocks).
It compares your chart symbol against up to two custom comparison symbols and automatically detects bullish and bearish SMT divergences across:
90-minute session blocks (Asia, London, NY – with internal 90m sessions)
60-minute (hourly) cycles
30-minute cycles
10-minute cycles
3-minute cycles
Each SMT is plotted as a line between the reference high/low and the current high/low, with a clear text label showing:
Timecycle (90m / 60m / 30m / 10m / 3m)
Which comparison asset(s) created the divergence (e.g., ES, YM, ES/YM or your custom labels)
The 90-minute SMT module is session-aware using New York time:
Asia: 18:00 – 02:29 NY time
London A/M/D
NY AM A/M/D
NY PM A/M/D
Crypto Alert Swing Master A comprehensive all-in-one indicator that combines the most powerful professional trading tools in a single system. It provides:
Volume Profile to identify high-volume areas and market activity zones.
Order Blocks & Breaker Blocks with clear distinction between Supply and Demand zones.
Market Structure tools (MSB – BOS – CHOCH) to detect trend shifts and structural breaks.
Support & Resistance automatically detected from higher timeframes.
Range Detection with 0.25 / 0.50 / 0.75 mid-range levels.
A complete TP System with 4 automated Take-Profit levels.
Trend Filter + GG Shot to identify accurate LONG and SHORT entry conditions.
This indicator gives you a full market map:
trend direction, reversal zones, volume strength, market structure, and smart entry/exit points.
NYC Session Candle AnalysisCandle Analysis is a volatility-measurement tool that calculates average candle movements starting from a selected reference point, such as a fixed number of candles, a specific time and timezone, or a major trading session like New York, London, or Tokyo. It measures multiple candle ranges including High–Low, Open–Low, Open–Close, and others, then displays the averages in both points and ticks. The indicator helps evaluate market behavior during session opens, analyze open-range volatility, and understand typical candle movement patterns across different markets and timeframes.
SMAs (10,50,100,200) by BenderDescription:
Multi-timeframe Simple Moving Average indicator displaying four popular SMAs (10, 50, 100, 200) commonly used for trend analysis and support/resistance levels. Each SMA is fully customizable with individual settings for period length, data source, timeframe, and color. Perfect for traders who want to view higher timeframe SMAs on lower timeframe charts or combine multiple timeframe analyses in one view.
Key Features:
Four independent SMAs with default periods of 10, 50, 100, and 200
Multi-timeframe capability - view daily SMAs on any chart timeframe
Fully customizable: length, source (close, open, high, low, etc.), timeframe, and color
Toggle each SMA on/off individually
Clean, organized settings menu with grouped parameters
Semi-transparent lines for better chart visibility
Daily Anchored VWAPAnchors VWAP to whatever time you want instead of the usual start of session. I use it for BTC so that I can anchor around NY open instead of the night before.
daily median 00:00-14:00 This indicator calculates the daily median price from all candle closes between 22:00 of the previous day and 15:00 of the current day, using the selected European timezone. The median is only computed after the 15:00 candle has closed and is plotted as a single horizontal line for the remainder of the day. Both the 22:00 and 15:00 closes are included in the calculation. The indicator resets at the start of each new day and remains hidden until the session completes, providing a clean, stable daily reference level.
Traffic Trading [Larry Jones]This indicator is based around traffic as a trader, if you can drive you can trade.
The Traffic Trader Indicator works very well for scalp options trading, mid term swing trades, and long term investing.
Multi-TimeCycles SMT Live DetectorThis indicator is a multi-asset, multi-timeframe SMT Live detector designed to work on any symbol (indices, futures, FX, crypto, stocks).
It compares your chart symbol against up to two custom comparison symbols and automatically detects bullish and bearish SMT divergences across:
90-minute session blocks (Asia, London, NY – with internal 90m sessions)
60-minute (hourly) cycles
30-minute cycles
10-minute cycles
3-minute cycles
Each SMT is plotted as a line between the reference high/low and the current high/low, with a clear text label showing:
Timecycle (90m / 60m / 30m / 10m / 3m)
Which comparison asset(s) created the divergence (e.g., ES, YM, ES/YM or your custom labels)
The 90-minute SMT module is session-aware using New York time:
Asia: 18:00 – 02:29 NY time
London A/M/D
NY AM A/M/D
NY PM A/M/D
BETradez HTF Order Blocks BETradez HTF Order Blocks identifies and displays order blocks from higher timeframes on your chart. It detects Break of Structure (BOS) events, when price breaks above the highest high or below the lowest low—then scans back up to 200 bars to find the last opposing candle, which becomes the order block zone. The indicator displays up to 5 active order blocks per side (bullish in green, bearish in red), automatically extends them forward in time, and can hide invalidated blocks when price violates them. You can customize the timeframe (use chart or a custom higher timeframe), adjust forward extension, show optional wick lines and center lines, and control label text size. Order blocks often act as support/resistance zones where institutional activity occurred, making them useful for identifying potential entry areas, support/resistance levels, and risk management points in multi-timeframe analysis.
