Market Structure (Breakers) [LuxAlgo]The Market Structure (Breakers) indicator aims to detect "Breaker Market Structures", an original concept inspired by breaker blocks, and extend on the original concept of market structures by extending existing MS levels, providing supports/resistances as a result.
Various graphical elements are included that highlight the interactions between price and Breaker structures.
🔶 USAGE
Breaker structures occur when a market structure is confirmed (price breaking a previous swing level). The broken swing point is extended by a dotted line which can be used as potential support or resistance.
After a market structure, the price can eventually reverse and break one or multiple breaker structures at the same time, allowing for the detection of new trends in the price.
A market structure closer to the top/bottom of a trend can return Breaker structures breakouts more indicative of potential reversals.
Breakers MS breakouts can also be useful as exits for entries done using market market structures.
The script additionally highlights support/resistance events by highlighting candle borders, with a border using a green color indicating support events while a red color is indicative of a resistance event.
🔹 Breaker Structure Lifespan
The "lifespan" of Breaker structures, that is the amount of time the script will extend/evaluate them is determined by various user settings.
The Maximum Breaks setting determines the maximum amount of breaks a breaker structure can withstand before it is broken.
For example, a maximum amount of breaks of 3 for a bearish breaker structure would require the price to cross under that precise breaker structure level three times. Using higher values of this setting will also highlight more Breakers MS.
The Breaker Maximum Duration setting on the other hand determines how many bars a breaker structure can be evaluated without being broken. If a breaker structure is not broken after this amount of bars then it will stop being evaluated and will be removed.
🔶 SETTINGS
Swings Period: Period used for the swing detection, with higher values returning longer term markter structures.
Maximum Breaks: Amount of break required for a breaker block to be considered broken.
Breaker Maximum Duration: Maximum duration of a breaker block (in bars).
Cari dalam skrip untuk "smart"
itradesize /\ Previous HTF x OHLC Box
FYI: It is an invite-only script, if you are interested in, please scroll down to see the Author's instructions.
Introducing an indicator which inspired by ICT concepts that use a model, based on what TTrades teaches in some of his DOL videos about how to get a proper bias.
Having a daily bias can be frustrating and this script could make it easy for you besides creating a ton of opportunities for scalpers as well as not only helpful for a daily bias, it can also help you to determine the actual H4 or H1 bias or even lower.
Always keep in mind: the higher the timeframe you use, the more accurate it can be.
You can use OHLC to determine the current or higher time frame bias as it can be used on any of them and properly gain a sentiment of a drawn of liquidity.
This model integrates the previous candle's open, high, low, and close values (or open, low, high close) in addition to their equilibrium to make it easier to identify where the price should go moreover they can be used as reference points for potential trading opportunities.
The 50% also known as equilibrium creates premium and discount zones within the previous candles. Using the former higher timeframe candle’s OHLC you can simply have an external range of liquidity and where the current price should it drawn to.
With this tool, you can achieve a proper trading framework as you can easily recognize the external & internal range of liquidity, so whether you are a scalper or a day trader you are able to rely on the indicator.
A bit of a candlestick analysis:
When the price wicks below means a potential bullish reversal is incoming.
When the price wicks above, then it means a potential bearish reversal is happening.
Closing below means lower prices. (Bearish trend)
Closing above means higher prices. (Bullish trend)
This indicator is an absolute monster for the OHLC guys.
How to use it?
- Analyse the trend on the higher timeframe, bullish trend is when the price continuously takes the previous candle’s high over and over again. Bearish trend is the total opposite.
- Wait for external liquidity to be taken.
- When it's happening there should be a displacement back to the range with an actual structure shift.
- Looking for an imbalance in the displacement.
- Aiming for an imbalance that is above 50% of the former move.
- Aggressive stop: below or above the candle which has an imbalance
- Conservative stop: below or above the former swing
Classic sell setup:
Classic buy setup:
The indicator has a ton of customizable features, the power of the tool is really in there, as you can find or refine your own model with it. Once you're familiar with your setup you will be really feeling the power of the tool, I promise.
Indicator Features:
• M5/M15/H1/H4/D Time frames
• OHLC bar with an offset (you can have a look at the current HTF bar developing or you can use it as a locked previous bar)
• Current time frame OHLC / OLHC box with extended lines to the current time
• Showing the previous time frame OHLC / OLHC box with extended lines and the ability to add labels. The color of the OHLC or OLHC box is based on the candle closing. If it's a bear candle, if it's a bull candle.
• Previous high time frame open / close lines with labels, customisable colours, label sizes
• It has a lot of customisable features, the power of the tool is really in there as you can find or refine your own model with it.
• Every box and bar automatically switches its colors based on the close of the candle whether it's a bear or a bull candle.
• The color of the labels is switching automatically based on the coloring of your chart.
• You can customize each and every box color - OHLC/OLHC based on your taste, and the open and closing lines of the previous HTF.
Additional Information:
You can combine it with my own model. If you are not familiar with it, you can find here .
Or you can combine it with other frameworks for extra confluences like combining it with Daye’s QT in some simple equation:
Open → Q1 , High → Q2, Low → Q3, Close → Q4
Open → Q1, Low → Q2, High → Q3, Close → Q4
Master Pattern ScreenerMaster Pattern Screener
This is an indicator based on the concept known as the Forex Master Pattern, which contains three phases. The contraction, expansion, and trend phases This indicator, based on your current timeframe, finds out if there is a contraction on 10 symbols that you can customize to suit your needs.
How does it work?
The indicator is a table, and it finds 10 different symbols on the current timeframe that you have selected. Then it does volume and volatility calculations to determine if a contraction is occurring, which is the first phase and probably the most important phase in the FOREX MASTER PATTERN .
This indicator is meant to be used in conjunction with our contraction plotter. We would have placed this indicator in the contraction and expansion plotter, but there were memory limitation issues, so we placed it in a separate indicator.
How traders can use this indicator
The contraction phase is extremely important because once a contraction is occurring, what always happens is an expansion. Some traders will avoid placing trades in the contraction phase, while others will enter to use the momentum for their trades. This indicator just makes it more convenient to identify the contraction phases.
Examples of the indicator:
Things you should know
The symbols can be customized to whatever you want. You can choose your own stocks, cryptocurrencies, currencies, etc.
Make sure that it's exactly the same; if you use, for example, BTCUSDT Coinbase but check on BTCUSDT Binance, then it may show inaccurate results.
Since this script involves a decent amount of calculations, it may not work properly in low timeframes, like anything less than a minute.
Expansion IndexWhat is the expansion index?
The expansion index is a concept that charts the relative strength or weakness based on the comparison of recent price changes and overall prices changes for the period.
It can be used as an momentum oscillator and show overbought or oversold price conditions by measuring the relation between the sum of "strong" price changes (which can form trends).
The Expansion Index is most typically used on an 8 day timeframe. It changes on a scale from −100 to +100, with the overbought and oversold levels marked at +60 and −60, respectively.
What about this indicator?
This indicator basically shows the rate of expansion from zero, but also has other uses apart from finding over bought or over sold territory.
Scenarios:
Lets say you are identifying a contraction zone (low volume zone of candles), you can further confirm the contraction if the Index is at or near 0, in this case it might have more strength
and play out more accurately the contraction and expansion.
Once the Expansion begins and price expands from the 0 level you can determine if its overbought which would be around the 1.00 Level or Oversold which would be at around the -1.00 Levels, and a reversal can follow out.
With the rate of change line you can identify trends in market and when reversals will start.
This indicator is best used with contraction, expansion, and trend principles also known as the Forex Master Pattern, as it was for what this specific indicator was designed for.
Thanks to NNAMDERT for writing this indicator and giving full rights. :)
The Zone Seeker Supply and Demand - by Karoshi TradingThe Zone Seeker Supply and Demand - by Karoshi Trading
The Zone Seeker is based on the Supply & Demand Methodology.
Activating this indicator will mark all the zones of your chart.
Depending on your setting preferences, some zones will be showed or not.
The indicator code works as follow:
We will use the number of consecutive candles, body size compared to the wick and body length to calculate the zones.
Here is an example of the indicator.
1# Consecutive Candles
The indicator will search for minimum 2 consecutive candles of the same color. That means, that both candles has to close above the opening price of each candle (Bullish) or close below there opening prices (Bearish).
2# Body Size
After the first condition is met, the Code will now look into each candles of step #1.
Each of the candles should be equal or above 50% body, to meet the second requirement.
It will calculate the body size, compared to the full candle size to determine the percentage of the body itself.
3# Body Length
If the first two steps are positive, the code will jump into the 3rd phase of the indicator, the „Body Length“. With 2 options (ATR & MA) the code will calculate within a 14 candles period the average range of the candles. With that information, the code will now compare the average range to our candles from step #1.
The candles from step #1 has to be equal or bigger than 1.5 times the range/size of the average candle to met our last requirement.
4# Demand & Supply Zones
After all 3 requirements are met, the code will search for the last candle of the opposite color, to mark a zone. As example, if we have a demand zone with all conditions met, the indicator will search for the latest candle where the price closed below the opening price.
After finding such a candle, the indicator will mark the whole range of this candle (body + wick) and create a colored rectangle with a description in it. As example „Demand CTF“
CTF = Current Time Frame
5# Testing the Zones
As a test, we only count if the price went inside or touched the zone and left it and closed outside the zone. (You can choose by yourself if touched is on or off in the settings).
The code will not count each candle as a test, but each phase where the price went into the zone and closed outside the zone. As an example, if price went into a demand zone and closes 2 candles within the zone and the 3rd candle closes above the demand zone, that will count as one test.
Each test, will change the color of the zone, to keep in track of the freshness of the zones. After the 3rd test of a zone, the zone will be automatically deleted.
6# Flipping Zones
As a flipping zone is meant, that if the demand zone get broken to the downside by 2 or less candles it will automatically turn into a fresh supply zone. Important to know is, it will only occur if the candles closes below the demand zone. Same occurs for supply zones.
7# Multiple TimeFrames
It is possible, to choose one more time frame on top of the current time frame your are actually trading.
The code will separate both time frames, so you can choose how many zones you want to see in each time frame.
The supplementary time frame zones will be in 3 different grey colors, to destinguish the zones.
Also, overlapping zones will have a little info box, to avoid overlapping text.
On top of that, you can also show "all" time frames at once.
Current Time Frame = Colorized Zones
Supplementary Time Frames = Grey Zones
Supertrend Rally RollercoasterSupertrend indicator is a trend following indicator similar to moving averages. You can use this on any timeframe if there is enough market data.
What about the Supertrend Rally Rollercoaster?
The main objective of this indicator is to avoid fake trends as much as possible and find the best bull and bear runs.
The best timeframe is the 15 minute timeframe.
This indicator consist of 4 Supertrend periods. The most important period of this indicator is the fourth period. This is the period that determines the overall trend for the timeframe.
The rest of the bands can be used as confirmations to the trend, determine trade entries, and possible as trade exits and scalping.
The main use of this indicator is to be used with value lines and contraction zones, as showed in the picture below.
So basically the average price or the mean is the value line produced by the contraction. The expansion follows, and then you must wait for the actual trend.
If price is below the value line then you wait for a uptrend and preferably a proper entry. Then you ride it up to the value line as TP, or you can
also let it continue on riding, but your preference.
If price is above value then, you wait for a downtrend and then short to value. This is the main trading strategy behind this indicator and what it has intended for.
The indicator also comes with alerts on when the trend changes and also on the arrows which are take profit symbols.
On an uptrend you will see red take profit signals which work with RSI. They tell you when a possible trend reversal can take place.
Contraction and Expansion PlotterContraction and Expansion Plotter
Volatility , Contraction, and Expansion Plotter
This indicator is based on the contraction, expansion, and trend phases concept.
I wrote this indicator and optimized it to be user-friendly and show the best value levels in various different timeframes.
The script itself uses Average True Range , WMAs, RSI , and volatility to determine contraction zones and possible expansions.
The contraction phase is the first phase of the market. The script will automatically plot the box, which is the contraction. This is the phase that traders should avoid trading because the value line has yet to be formed. You don't know if the trade will violently go up or down since it is in the next phase.
The expansion is the next phase where high volume and volatility occur. I decided to use RSI crossovers and crossunders to help find the expansion zones since it can be pretty difficult to get a program to recognize them and also since this is the phase where accumulation by the big liquidity players, like the institutions, starts.
The trend phase isn't yet implemented into the script, but basically is when these big liquidity players start taking profits. This is the part where it tends to go back to the value line , even if it is bullish or bearish .
This concept is extremely versatile and can be used to create various different strategies, from long-term strategies to scalping strategies. You can combine this with indicators and not be lost.
To be clear, the boxes are the contraction mapped and the zones you should always avoid trading in.
On timeframes that are hourly and above, the value lines will automatically be plotted by the script.
Some Customization Features:
You can decide different line styles like dotted, solid, dashed, or arrows.
You can also customize the width of the value line but the recommended widths is either 1 or 2.
On default, the value lines retrieved by the contractions will be disabled on timeframes lower than the hourly or daily because it can become unorganized but the option
to enable lower timeframe value lines have been added now.
The value lines will automatically extend until another contraction is present
Option to choose if you want filtered contractions or unfiltered contractions.
Fibo & Gann Advanced Auto[CongTrader]🔍 Description:
"Fibo & Gann Advanced Auto by CongTrader" is a smart automatic indicator that combines Fibonacci Retracement & Extension levels with Gann Boxes and Fan lines, helping traders identify key support/resistance zones and potential turning points in the market.
This tool automatically detects recent swing highs/lows using pivots and overlays:
📏 Fibonacci Retracement & Extension (0.236 to 1.618)
🟪 Gann Box between 2 latest pivots
📐 Gann Fan Lines (1x1, 2x1, etc.)
🟢 Optional filtered Buy/Sell signals based on wave size and RSI
Designed for discretionary and technical traders who want a visual confirmation of price geometry and market structure.
📘 How to Use:
Apply to any chart & timeframe.
Adjust pivot sensitivity via “Pivot Length” input.
Look for confluence between Fib retracement/extension and Gann box edges for trade entries.
Gann fan lines help visualize trend angles or speed.
Combine with your own strategy for better confirmation (e.g., volume, candlestick pattern).
💡 Tip: Use in higher timeframes (H1, H4, D1) for cleaner and more reliable pivots.
🙏 Thanks:
Created with love and passion for the trading community by CongTrader.
If you find it helpful, please give a like or comment. Feedback is always appreciated!
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice and should not be used as a sole basis for trading decisions.
Always use proper risk management and perform your own analysis before entering any trade.
Trading involves risk, and past performance is not indicative of future results..#fibonacci #gann #gannbox #gannfan #elliottwave #marketstructure
#priceaction #autopivot #congtrader #tradingviewindicator
#technicalanalysis #tradingtools #forextrading #cryptoindicator
#tradingstrategy #tradingsetup #smartmoney #supportresistance
ZigZag Based RSIDescription
ZigZag Trend RSI (ZZ-RSI) is an advanced momentum indicator that combines ZigZag-based trend detection with a trend-adjusted RSI to deliver smarter overbought and oversold signals. Unlike traditional RSI that reacts purely to price movement, this indicator adapts its sensitivity based on the prevailing trend structure identified via the ZigZag pattern.
By dynamically adjusting RSI thresholds according to market direction, ZZ-RSI helps filter out false signals and aligns RSI readings with broader trend context—crucial for trend-following strategies, counter-trend entries, and volatility-based timing.
Core Components
ZigZag Pattern Recognition:
Identifies significant swing highs and lows based on price deviation (%) and pivot sensitivity (length). The most recent pivot determines the prevailing trend direction:
🟢 Bullish: last swing is a higher high
🔴 Bearish: last swing is a lower low
⚪ Neutral: no recent significant movement
Trend-Weighted RSI:
Modifies traditional RSI input by emphasizing price changes in the direction of the trend:
In bull trends, upside moves are magnified.
In bear trends, downside moves are emphasized.
Dynamic RSI Zones:
Overbought and Oversold thresholds adapt to the trend:
In uptrends: higher OB and slightly raised OS → tolerate stronger rallies
In downtrends: lower OS and slightly reduced OB → accommodate stronger sell-offs
In neutral: default OB/OS values apply
How to Use
✅ Entries (Reversal or Mean Reversion Traders):
Look for oversold signals (green triangle) in downtrends or neutrals to catch potential reversals.
Look for overbought signals (red triangle) in uptrends or neutrals to fade momentum.
Confirm with price action or volume for higher conviction.
📈 Trend Continuation (Momentum or Trend-Followers):
Use the trend direction label (Bullish / Bearish / Neutral) to align your trades with the broader move.
Combine with moving averages or price structure for entry timing.
Avoid counter-trend signals unless confirmed by divergence or exhaustion.
🧠 Signal Interpretation Table (top right of chart):
Trend: Indicates the current market direction.
RSI: Real-time trend-adjusted RSI value.
Signal: OB/OS/Neutral classification.
Customization Options
ZigZag Length / Deviation %:
Adjust pivot sensitivity and filter out minor noise.
RSI Length:
Controls how fast RSI responds to trend-adjusted price.
Color Settings:
Personalize visual cues for trend direction and OB/OS backgrounds.
Alerts Included
📢 Overbought/oversold conditions
🔄 Trend reversals (bullish or bearish shift)
These alerts are ideal for automated strategies, mobile notifications, or algorithmic workflows.
Ideal For
Traders seeking smarter RSI signals filtered by market structure
Trend-followers and swing traders looking for reliable reversals
Those frustrated with false OB/OS signals in volatile or trending markets
Best Practices
Use in confluence with price structure, trendlines, or S/R levels.
For intraday: consider lowering ZigZag Length and RSI Length.
For higher timeframes: use higher deviation % and smoother RSI to reduce noise.
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets.
This Supertrend is a nodd to and a more completion of the work
done by Olivier Seban ( @olivierseban )
This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves.
📏 The Multiplier Problem & Adaptive Factor Solution
Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter.
This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it.
ATR EXAMPLE
Let’s say prior session ATR = 2.00
Now suppose current ATR = 0.32
This places us in Zone 1 (Very Low Volatility)
It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means:
Lower risk | Smaller stops | Smaller opportunities (and losses)
🔁 Liquidity Zones vs. Arbitrary Pullbacks
The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate.
This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior.
⏳ Prior Session ATR vs. Live ATR
Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility.
Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved.
The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose.
It will also plot a moving average on your chart against closing prices by the smoothing function you choose.
🧭 Scalping vs. Trending Modes
The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution.
Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts.
This version solves that with a simple toggle:
Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias.
Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually.
📉 Histogram Oscillator for Move Strength
In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line.
This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic.
Histogram in Scalping Mode
Histogram in Trending Mode
📊 Visual Table for Real-Time Clarity
A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders.
This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
Simple Portfolio System | QuantumResearchStatic Allocation Engine for Smarter Crypto Exposure
The Simple Portfolio System (SPS) by QuantumResearch is a lightweight yet powerful asset allocation framework, designed for investors who want a smarter, more disciplined alternative to passive buy-and-hold. SPS allocates capital across four customizable assets — BTC, ETH, SOL, and SUI — using a volatility-adjusted momentum engine powered by the proprietary AVWO indicator.
🔍 Key Features:
✅ Adaptive Allocation Logic
Every day, the system evaluates trend strength using the AVWO oscillator. Each asset showing a bullish signal receives a fixed 25% portfolio allocation.
📉 Dynamic Cash Protection
If no asset is trending, SPS automatically shifts to 100% cash, minimizing exposure during sideways or bearish market phases.
📈 Equity Curve Overlay
Compare the strategy's performance against traditional Buy & Hold — both equity curves are plotted for clear benchmarking.
🧠 Proprietary Signal Engine
Powered by AVWO, a custom volatility-weighted oscillator developed by QuantumResearch, designed to filter noise and highlight adaptive trend signals.
📋 Live Performance Dashboard
Real-time metrics include:
Sharpe Ratio
Sortino Ratio
Omega Ratio
Max Drawdown (%)
Current Asset Allocations & Weights
⚙️ System Logic Overview:
Up to four assets analyzed: BTC, ETH, SOL, SUI
If one or more assets are detected as trending, each receives 25% allocation
If none are trending, capital remains unallocated (cash)
Allocation signals are recalculated daily
Backtest begins: 03 May 2023
📌 Use Case:
This system is ideal for:
-Investors seeking to avoid overexposure during weak or range-bound markets
-Traders who want to capture clear trend opportunities
-Portfolio builders looking to benchmark adaptive exposure vs. passive HODL strategies
Built by QuantumResearch — engineered for simplicity, clarity, and tactical trend participation.
⚠️ Important Disclaimer:
Past performance is not indicative of future results. All trading strategies carry risk.
This tool is provided for educational and research purposes only.
Not financial advice. Always conduct your own analysis and consult with a financial advisor before making investment decisions.
Entropy Bands (TechnoBlooms)Entropy Bands — A New Era of Volatility and Trend Analysis
Entropy Bands is our next indicator as a part of the Quantum Price Theory (QPT) Series of indicators.
🧠 Overview
Entropy Bands are an advanced volatility-based indicator that reimagines traditional banded systems like Bollinger Bands.
Built on entropy theory, adaptive moving averages, and dynamic volatility measurement, Entropy Bands provide deeper insights into market randomness, trend strength, and breakout potential.
Instead of only relying on price deviation (like Bollinger Bands), Entropy Bands integrate chaos theory principles to create smarter, more responsive dynamic bands that adapt to real market behavior.
🚀Why is Entropy Bands Different — and Better
Dynamic Band Width : Adjusts using both entropy and ATR, creating smarter expansion/contraction.
Multi-Moving Average Core : Choose between SMA, EMA, or WMA for optimal centerline behavior.
Noise and Breakout Filtering : Filters fake breakouts by analyzing candle body size and entropy conditions.
Visual Clarity : Background and candle coloring highlight chaotic/noisy zones, trend zones, and breakout moments.
Entropy Bands don't just react to price — they analyze the underlying market behavior, offering superior decision-making signals.
📚 Watch Band Behavior:
Bands expand during volatility spikes or chaotic conditions.
Bands contract during low volatility or tight consolidation zones.
📚 Analyze Candle Coloring:
Green = Bullish breakout (closing above upper band).
Pink = Bearish breakout (closing below lower band).
Gray = Inside bands (neutral/random noise).
✨ Key Features of Entropy Bands:
Entropy-Based Band Width Calculation: A scientific edge over pure price deviation methods.
Dynamic Background Coloring: Highlights high entropy areas where randomness dominates.
Candle Breakout Coloring: Easy-to-spot trend breakouts and strength moves.
Multi-MA Flexibility: Adapt the bands’ core to trending, ranging, or volatile markets.
Body Size Filter: Protects against fake breakouts by requiring meaningful candle body moves.
Candle Pattern Signals - Global Lowest/HighestForex Indicator – Precision Tool for Smarter Trading
Unlock the full potential of your trading strategy with this powerful Forex indicator. Designed to identify high-probability trade setups, it combines real-time price action analysis with advanced technical algorithms. Whether you're a scalper, swing trader, or trend follower, this tool provides clear entry and exit signals to boost your performance. Compatible with all major currency pairs and optimized for MetaTrader 4/5. Take your trading to the next level – trade smarter, not harder.
MA SniperThis indicator automatically finds the most effective moving average to use in a price crossover strategy—so you can focus on trading, not testing. It continuously evaluates a wide range of moving average periods, ranks them based on real-time market performance, and selects the one delivering the highest quality signals. The result? A smarter, adaptive tool that shows you exactly when price crosses its optimal moving average—bullish signals in green, bearish in red.
What makes it unique is the way it thinks.
Under the hood, the script doesn’t just pick a random MA or let you choose one manually. Instead, it backtests a large panel of moving average lengths for the current asset and timeframe. It evaluates each one by calculating its **Profit Factor**—a key performance metric used by pros to measure the quality of a strategy. Then, it assigns each MA a score and ranks them in a clean, built-in table so you can see, at a glance, which ones are currently most effective.
From that list, it picks the top-performing MA and uses it to generate live crossover signals on your chart. That MA is plotted automatically, and the signals adapt in real-time. This isn’t a static setup—it’s a dynamic system that evolves as the market evolves.
Even better: the indicator detects the type of instrument you’re trading (forex, stocks, etc.) and adjusts its internal calculations accordingly, including how many bars per day to consider. That means it remains highly accurate whether you’re trading EURUSD, SPX500, or TSLA.
You also get a real-time dashboard (via the table) that acts as a transparent scorecard. Want to see how other MAs are doing? You can. Want to understand why a certain MA was selected? The data is right there.
This tool is for traders who love crossover strategies but want something smarter, faster, and more precise—without spending hours manually testing. Whether you're scalping or swing trading, it offers a data-driven edge that’s hard to ignore.
Give it a try—you’ll quickly see how powerful it can be when your MA does the thinking for you.
This tool is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Use responsibly.
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
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Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
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How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
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Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
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💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
Automate Multi-Timeframe Period Separators - By KaVeHVersion 1.0
Overview
The Automate Multi-Timeframe Period Separators indicator automatically plots vertical separators on your chart to visually distinguish different time intervals. It helps traders quickly identify key session changes, daily transitions, and custom time references without manually drawing lines.
Unlike standard period separators, this script offers enhanced customization options, supports multiple timeframes, and adapts dynamically to different chart resolutions.
Key Features
✅ Multi-Timeframe Support – Works across all timeframes, from seconds to months.
✅ Customizable Time References – Choose between session start time or midnight (00:00) as the reference point.
✅ Time Zone Flexibility – Supports multiple exchange-based and user-defined time zones.
✅ Multiple Line Styles – Customize separator lines with solid, dashed, or dotted styles.
✅ Performance Optimized – Efficiently manages up to 500 separators without cluttering the chart.
How It Works
🔹 This script automatically detects session changes or day boundaries based on user preferences.
🔹 It dynamically adjusts separators based on the current chart timeframe to ensure clarity and relevance.
🔹 Users can modify separator colors, line styles, widths, and display preferences from the settings panel.
What Makes This Indicator Unique?
🔹 More Flexible than Built-in TradingView Separators – Allows custom time references, multiple time zones, and improved styling options.
🔹 Not a Simple Clone – Unlike existing open-source scripts, this indicator introduces dynamic MTF logic, optimized visibility conditions, and smarter separator management.
🔹 Continuously Updated – This is the first official release, and future updates will refine the logic further.
Timeframe Alignment:
M1 timeframe -> M15 separator
M3 timeframe -> M30 separator
M5 timeframe -> H1 separator
M15 timeframe -> H4 separator
H1 timeframe -> D1 separator
H4 timeframe -> W1 separator
How to Use
1️⃣ Add the indicator to your chart.
2️⃣ Configure your preferred time reference (Session Start / Midnight).
3️⃣ Choose a custom time zone if necessary.
4️⃣ Adjust separator styles, colors, and line width to fit your trading strategy.
5️⃣ Enjoy a clearer, more structured chart layout!
🔹 Important Note:
This is not a duplicate of any existing open-source indicator. It introduces unique logic for better time-based chart structuring, ensuring a clutter-free trading experience.
💡 If you have any suggestions or feature requests, feel free to share them!
🚀 Enhance Your Trading with Smarter Time Separators!
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics.
I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs.
The concept behind taking a contrarian approach:
Market Buy Order Bubbles appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts
⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA)
Market Sell Order Bubbles appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs
⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA
These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings.
1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed.
2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed.
3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed.
Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict.
Settings Overview
"Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle.
"Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar.
"Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds.
"Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA.
"Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0.
"Show POC" - Show/hide intrabar POCs displayed as "-".
"Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
Liquidation Levels - By LeviathanThis indicator generates liquidation levels of over-leveraged traders and utilizes a variety of different tools to analyze data such as Open Interest and Volume to provide an edge in your trading system and help you with valuable market insights.
The concept of this indicator is inspired by the platform Hyblock and their Liquidation Levels tool.
The script offers a lot of flexibility in settings, so please read these instructions and test out different parameters to see what works best for you. Here is a short overview of all inputs, one by one.
PRIMARY SOURCE OF DATA
This input allows you to choose the primary source of data that the script uses to calculate liquidation levels. I encourage you to test them all and see which works best for the assets and timeframes you trade. You can also regularly switch between to see confluences.
My personal favorite inputs (and also most accurate ones) are Open Interest, Open Interest + Volume (OI+VOL), and Open Interest + CVD (OI+CVD), as they utilize Open Interest in the calculations, which is the most important factor when it comes to analyzing position opening/closing and market activity in general. The other options that do not include Open Interest (Volume, CVD) were mainly added to provide the possibility to use the indicator on pairs where OI data is not available. Please note that this indicator is built on Tradingview and can only use data (e.g., Open Interest) provided by Tradingview, which is unfortunately quite limited. This is why I recommend using the script with OI-based data source inputs on Binance's perpetual futures pairs, as this is where OI data is available. The volume-based data source inputs can be used on spot pairs, forex, indices, and other markets, where Open Interest data is not provided.
To summarize the use of Primary Source of Data input:
1. Open Interest - use on Binance’s perpetual futures or anywhere else where OI data is available
2. OI + VOL - use on Binance’s perpetual futures or anywhere else where OI data is available
3. OI + CVD - use on Binance’s perpetual futures or anywhere else where OI data is available
4. CVD - use on any pair you wish
5. Volume - use on any pair you wish
DIRECTIONAL BIAS
If turned on, the Directional bias function uses volume and some other calculations to predict which side’s liquidation levels are more likely to be filled and only keep those levels on your chart.
- Directional Bias for Liquidation Levels
Turned ON: only one side’s liquidation levels are shown on the chart
Turned OFF: all liquidation levels are shown on the chart
- Directional Bias for Liquidation Level Bubbles
Turned ON: only one side’s liquidation level bubbles are shown on the chart
Turned OFF: all liquidation level bubbles are shown on the chart
I've separated directional bias options between Liquidation Levels and Liquidation Level Bubbles because sometimes it can be useful to have one of them ON and the other one OFF.
REDUCE SENSITIVITY
The Reduce Sensitivity option allows you to multiply the thresholds for "Smaller Size Liquidation," "Medium Size Liquidation," and "Large Size Liquidation" simultaneously. This is a useful feature as it enables you to easily filter larger positions and their liquidations without having to manually alter the standard deviation multipliers, which will be discussed in further detail later in the article.
The default value is 1, which means that it does nothing.
Increasing it above 1 will increase all thresholds and therefore generate fewer liquidation levels but with larger relative sizes.
Decreasing it below 1 will lower all thresholds and therefore generate more liquidation levels but with both smaller and larger relative sizes.
BASE
This input gives you the possibility to choose between four different bases, from which the liquidation levels will be generated.
CLOSE ⇒ Levels are plotted above and below the close of the candle
HALF ⇒ Levels are plotted above and below the middle of the candle ((high+low)/2)
VWAP ⇒ Levels are plotted above and below the volume-weighted average price
VWMA ⇒ Levels are plotted above and below the volume-weighted moving average
I suggest that you backtest them and see what works best for you.
LIQUIDATION LEVEL BUBBLES
If enabled, "Liquidation Level Bubbles" mark the beginning of a new liquidation level and indicate the relative size of liquidations that would occur if the price were to reach that level.
Liquidation Bubbles or Liquidation Levels in general appear when there is a large influx of new positions and logically, (significant) new positions lead to (significant) new liquidation levels. Liquidation Bubbles can be used to estimate the size and therefore significance of a given liquidation level. It could be argued that the price is more likely to be attracted to larger Liquidation Level Bubbles. While this is often true, it is not always the case as the strong momentum created by large positions can sustain for a prolonged period before reversing and filling the remaining levels Similarly to other features in this indicator, significant new positions are identified and filtered using standard deviation thresholds and their multipliers. New positions are considered significant when newly opened positions exceed the threshold for "Smaller Size Liquidation," leading to the creation of new liquidation levels and bubbles.
1. If new positions exceed the first standard deviation multiplier ("Smaller Size Liquidation Level"), but do not exceed “Medium Size Liquidation Level”, a smaller-sized bubble appears.
2. If new positions exceed the second standard deviation multiplier (”Medium Size Liquidation Level”), but do not exceed “Large Size Liquidation Level”, a medium-sized bubble appears.
3. If new positions surpass the third standard deviation multiplier (”Large Size Liquidation Level”), a large-sized bubble appears.
Significant opened positions are identified and filtered by size using three "thresholds" in the form of standard deviations, which can be modified in the indicator settings, in the section called "Standard Deviation Multipliers".
**Increasing** the standard deviation multipliers of Liquidation Level Bubbles effectively increases the threshold for a given bubble to occur, making the conditions for its appearance stricter.
⇒ Fewer Liquidation Levels - just larger positions are included
**Decreasing** the standard deviation multipliers of Liquidation Level Bubbles effectively decreases the threshold for a given bubble to occur, making the conditions for its appearance looser.
⇒ More Liquidation Levels - smaller positions are included
Keep in mind that this should always be the case:
*Smaller Size Liquidation Level < Medium Size Liquidation Level < Large Size Liquidation Level*
MARKET ORDER BUBBLES
"Market Order Bubbles" is my experimental concept used as a way to analyze large volumes and visualize the market activity at significant levels under certain conditions. It is based on my imitation of CVD which is also used in other parts of the script. The aim of this concept is to give you an idea about the real-time heavy market buying and selling, which could indicate eg. large liquidations, large entries/exits. in order to add confluence to your analysis. Please note that this concept is still in its early stages and may be confusing as it might have been poorly implemented. I recommend taking the time to thoroughly read through this section in order to fully understand it. On the other hand, early backtesting results appear very promising, as the win rate of countertrading buy and sell bubbles under certain conditions was fairly high (70%). I will continue working on this tool, so stay tuned for future updates.
**Market Buy Order Bubbles** appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- New short positions (sells) of “smarter” traders absorbing liquidated/closed shorts (buys)
⇒ Possible reversal to the downside - look for the liquidation levels of longs to get filled
**Market Sell Order Bubbles** appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- New long positions (buys) of “smarter” traders absorbing liquidated/closed longs (sells)
⇒ Possible reversal to the upside - look for the liquidation levels of shorts to get filled
significant volumes are identified and filtered using three “thresholds” in the form of standard deviations, which can be modified in indicator settings.
1. If buy/sell volume surpasses the first standard deviation (”**Smaller Size Market Orders**”), then the **smaller-sized bubble** appears.
2. If buy/sell volume surpasses the second standard deviation (”**Medium Size Market Orders**”), then the **medium-sized bubble** appears.
3. If buy/sell volume surpasses the third standard deviation (”**Large Size Market Orders**”), then the **large-sized bubble** appears.
**Increasing** the standard deviation multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
**Decreasing** the standard deviation multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Keep in mind that this should always be the case:
*Smaller Size Market Orders < Medium Size Market Orders < Large Size Market Orders*
COLOR CANDLES
The Color Candles function is a useful and interesting feature that will enhance your analysis with additional context. If enabled, the indicator will color the chart's candles based on different data. Currently, there are three options to choose from, with more to be added in future updates.
Color Candles: OI DELTA
This option will color the candles to reflect Open Interest Delta. If there is a net increase in open positions (positive Open Interest Delta), the candle will be colored green. If there is a net decrease in open positions (negative Open Interest Delta), the candle will be colored red. It is important to note that this option only functions on pairs for which Tradingview provides OI data
Color Candles: VOLUME
This option utilizes volume data to help you identify the trend and momentum, coloring the candles accordingly - upward impulses are colored green and downward impulses are colored red. This makes it easier to recognize trend reversals and adjust your directional bias accordingly.
Color Candles: STOCH
This option uses the Stochastic Oscillator and SMA to color the candles, helping you identify momentum as upward green moves transition to downward red moves and vice versa.
LEVERAGE RATIO
Leverage ratio is another experimental concept I have added to this script. If turned on, it provides a broad insight into whether the market is relatively over-leveraged or if the leverage is relatively low. The aim is to use it as a confluence in anticipating incoming volatility and possibly use it to understand other aspects of market activity. It is still in its early stages of development and needless to say, it only works on pairs where Open Interest data is provided by Tradingview.
Crosses above price = Leverage is relatively high
Crosses below price = Leverage is relatively low
MARKET INFO SCREENER, LEVEL LEGEND, HIDE FILLED LINES
The last three inputs of Basic Settings section:
”The Market Info Screener” feature will display a small panel on the right side of your chart that provides useful data about the market, including Open Interest, Volume, the aggressive side of traders, and the Leverage Ratio. More data coming in future updates.
"Level Legend" option will display a small legend on the right side of the chart, helping you or others viewing the chart to understand what the objects on the chart mean.
"Hide Filled Lines" option will hide liquidation levels that have already been filled, only displaying the active ones in order to reduce clutter on your chart.
APPEARANCE
The “Appearance” settings offer a variety of modifications for colors, styles, and visibility.
The "Line Style" input allows you to choose the style and width of the liquidation level lines. You can also select which levels to display, as well as the color of the liquidation level lines and bubbles. The "Max Number of Lines" input allows you to specify the number of level lines you want on a chart. If you feel that there is too much clutter, you can decrease this number, and old lines will be removed. Please note that Tradingview has a built-in limit of 500 lines on a given chart, so this value cannot be set above 500. The "Market Buy/Sell Bubble Style" input can be used to modify the color and style of the market order bubbles. Enabling the "Show Settings Screener" option will display a screener with a list of all your settings on the right side of the chart, making it easier to share your preferred settings with others."
STANDARD DEVIATION MULTIPLIERS
This is where you can set the standard deviation thresholds for Liquidation Levels and Market Order Bubbles. These values can be customized to your preference, as the default values may not be suitable for your needs or you may want to experiment with different values to see more or fewer liquidation levels or market order bubbles on your chart. Personally, I sometimes use this feature to increase the Large Size Market Orders or Large Size Liquidation Levels multipliers so that large-sized bubbles are only assigned to extremely large positions or volumes.
If you want to only analyze larger positions or volumes, you can increase the "Smaller Size" multipliers, which act as a minimum threshold.
If you also want to include even smaller positions or volumes in your analysis, you can decrease the values of the "Smaller Size" multipliers, which act as a minimum threshold
Please note that the "Reduce Sensitivity" option in Basic Settings affects the standard deviation multipliers of the liquidation levels. Changing the "Reduce Sensitivity" value will equally multiply all of them (the ratio between Smaller, Medium, and Large multiplier values will remain the same)
STANDARD DEVIATION LENGTH
"Standard Deviation Length" defines the length (number of bars) used in all calculations that utilize the standard deviation function in this script. Decreasing it will generate Liquidation Levels and Liquidation Bubbles based more on recent data. Increasing it will generate Liquidation Levels and Liquidation Bubbles based on more long-term data.
CVD LENGTH
"CVD Length" refers to the length used in calculating cumulative volumes. Decreasing it will generate Liquidation Levels, Market Order Bubbles, and apply Directional bias based more on recent data. Increasing it will generate those based on more long-term data."
LEVEL CALCULATION MODES
“Level Calculation Modes” enable you to switch between three modes of calculating the distance between the base and actual liquidation levels.
COPYRIGHT
"Copyright" option will add your username to the copyright section at the bottom of the chart, giving you credit for your analysis if you post it somewhere.
MacroCorrelation (Bitcoin Real Value)The best minds in the financial world think about how to determine the real value of an asset.
I constantly say that it is necessary to buy an asset only at the moment when its market price is below or equal to its fundamental value. Let's see what is the difference between these two concepts.
Fundamental value
Imagine that we decided to grow and sell, for example, strawberries. For this, we purchased the necessary equipment, tools, fertilizers, seeds, and more. Let's say that we needed $ 3000 for this purpose.
To facilitate the task, in our calculation we will not take into account all types of possible costs (electricity cost, workers' wages, necessary tax deductions, etc.).
If we had to take a loan to meet the initial needs, for example, at 10% per annum , then each borrowed $ 1000 in a year would cost us $ 1100. That is, $ 3000 would cost us $ 3300 per year.
Let's agree that our initial funds were completely enough to buy everything we needed, and we didn't need to take out a loan at a certain percentage. In this case, we exclude from the calculation the cost of the capital required to start your own business.
Suppose we managed to harvest 100 kg of strawberries. This means that the real value (fundamental value) of 1 kg of our strawberries is $ 30.
Market price
Things are a little different with the market price. The market price is determined by the volume of supply and demand for a particular product or service at a particular point in time.
By demand, we mean the intention to purchase a product or service (secured by the ability to pay a set price for it). A need that exceeds solvency is not a demand.
By offer, we mean the willingness to provide ownership (use) of the object of demand for a certain fee.
Simply put, the market price is the price at which the buyer is willing to buy (and the seller to sell) the volume of goods we need.
In our case, the price at which we sell 1 kg of our strawberries will depend on how much people really need our strawberries.
If we are the only sellers of strawberries in a certain territory and, at the same time, buyers really want to taste fresh strawberries, its market price can be as high as the last buyer is able to pay. If not, everything will depend on how high quality our product will be for its price. At the same time, the price constantly varies over a certain period of time ( seasonality and other factors). For example, if in winter we could sell 1 kg of our strawberries for $ 90, then in summer for $ 50. Strawberry prices range from $ 50 to $ 90.
Magic formula
We now understand what is the difference between fundamental value and market price. If the first is made up exclusively of a set of real metrics, the second is a variable factor that depends primarily on “human factors” (what is the maximum price the buyer is willing to pay, what is the minimum price the seller is willing to set at a particular moment in time).
You should try to buy an asset only at the moment when its market price is below or equal to its fundamental value.
However, how can you independently determine the fundamental value of an asset?
Unfortunately, there is no universal answer to this question, just as there is no universal “magic formula” in nature (my sincere respect, Joel Greenblatt) that could determine the fundamental value of any asset on the planet. The point is precisely in the criterion of universality. If we consider each asset (or at least the market) separately, we can well determine its fundamental value.
Even those things that seem free to us in everyday life (just their cost are negligible) have a fundamental value.
Three factors to assess the fundamental value of Bitcoin
Let's try to take a separate asset, for example Bitcoin , and do with it everything that we did earlier with our “strawberry business”.
When assessing the real (fundamental) value of Bitcoin , we will take into account 3 main factors.
1. The maximum possible and current supply in the Bitcoin market
The reward for mining a Bitcoin block is halved every 210,000 blocks. This fact is called halving (halving). When all blocks are mined, the total amount of existing bitcoins will be 21 million coins.
Accordingly, the maximum supply in the Bitcoin network will not exceed 21 million coins.
In reality, things are even better, since this volume also includes a certain amount of lost coins. By lost, we mean all those coins whose “private keys” the last owner no longer has access to. For example, at the time of the appearance of Bitcoin in 2009, its real value was doubtful and not obvious to most of its owners, many of whom did not pay due attention to understanding the safe storage of an asset, periodically losing access to hundreds and thousands of coins.
As a result, we understand that the total supply in the Bitcoin market will be significantly less than 21 million coins.
To evaluate the proposal, it is not enough to understand how much of the asset exists, because a certain amount of it, as we have already understood, can either be lost or be blocked for a long time. It is also important to take into account the criterion of “supply in time”. That is, the current total “liquidity” of the network.
2. Bitcoin network hashrate
The main indicator of the viability and stability of the Bitcoin network is the hash rate (computing power). Stable hashrate = network security.
3. The real value of the US dollar
When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar .
It is believed that assets such as stocks or cryptocurrencies are extremely volatile (the price can change over a wide range within a relatively short period of time). At the same time, to reduce volatility , experts advise using the so-called “currency baskets”.
A currency basket is a certain percentage of foreign currencies in which the investor's capital can be distributed. The ratio of currency units in the basket is used to reduce the potential risk of currency fluctuations.
The main problem is that, due to inflation , the purchasing power of the currencies themselves drops significantly over time.
With the $ 100 we earned in 1913, already in the 1920s we could have purchased 50% fewer goods and services than before. In the 1980s, it was 90% less, and in the 2010s it was already 98% less.
This fact must also be taken into account when assessing the real value of Bitcoin , since everything is relative, and in the Bitcoin / Dollar pair, we determine the value of Bitcoin , expressed in US dollars.
The real value of Bitcoin
After assessing the relationship of the factors described above and drawing up a mathematical formula, we can proceed to the analysis of the results. In order to cut off unnecessary noise when constructing the function, we will use the graph for 1 month.
Analyzing the resulting chart, first of all, the following is striking: the fundamental value of Bitcoin grows over time. This is due to the gradual expansion of the "user base" of the network, as well as the growth of its popularity among investors of completely different classes.
I propose to compare the graph obtained earlier with the graph of Internet users (in% of the number of adult US citizens ). Similar, don't they?
The more the number of Internet users, the higher its influence and economic potential. The more the number of users of the Bitcoin network, the higher its economic potential and fundamental value.
However, understanding the fundamental value alone is not enough. We, as investors, first of all need to understand when to buy any asset.
To do this, compare the chart of the market price of Bitcoin with the chart of its fundamental value obtained earlier.
Now that we have a complete picture of what is happening and understand both the fundamental value of the asset and its market price, the fact of the numerical prevalence of the price over the fundamental value for 116 out of 133 months becomes quite clear. Periods of Bitcoin being below its fundamental value are extremely rare and only take ~ 13% of the trading time.
For about 87% of all trading time, Bitcoin's market price is above its fundamental value. Those rare periods when traders are willing to sell bitcoin below its fundamental value are an incredible gift for a long-term investor.
Bull and Bear Markets
If you buy Bitcoin (like any other asset) below its fundamental value, this is an absolutely incredible idea in terms of potential profitability, who in their right mind would sell their assets below this mark ?!
It's all about the emotionality of people. Saying “I will not do stupid things when the time is right” is easier than actually maintaining composure. Especially when it comes to money. Your money. And sometimes even dreams.
The classical market theory usually divides the market into two main phases: A bull market is a period of time during which the price rises systematically (accordingly, the demands and expectations of traders gradually grow). A bear market is a period of time during which the price gradually falls (accordingly, traders' requests and expectations gradually fall).
There is also the concept of “correction”: A correction is a temporary change in the price of an asset, contrary to the main trend.
For the current day, there is not a single clear criterion that separates the concept of a bear / bull market from the concept of a correction. However, we can say with confidence that the market change (from bullish to bearish or from bearish to bullish ) is interconnected with the fundamental factors of the market. Corrections, on the other hand, have significantly less connection with fundamental indicators.
and are rather related to the “physiology of the market” (nothing can only rise in price every unit of time for a significantly long time, nothing can only fall in price every unit of time for a significantly long time).
In this case, the most rational would be to define a bear market as a delay in updating the absolute historical highs of the price with a preliminary touch of the fundamental value.
Buying below the fundamental value is always a smarter idea than buying above the fundamental value, since, in most cases, it is the touch of the fundamental value that globally separates a bear and a bull market.
Fun fact: If we were to buy Bitcoin every time it touched the fundamental value, the average buy price as of July 2021 would be $ 1,506.65, which is 87% less than the current fundamental value of Bitcoin .
Conclusions
1. The total amount of Bitcoins , as well as the speed of their production (mining) over time, are programmatically limited, which limits the volume of the maximum possible supply
2. Bitcoin is transported, which means that the volume of supply for the current minute will also depend on the actual volume of assets available for sale
3. The viability of the network is based on the amount of computer power supporting it (network hash rate)
4. When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar
5. Price ≠ fundamental value
6. Buying below the fundamental is always a smarter idea than buying above the fundamental.
7. Don't believe the headlines of financial news and the public words of financiers
8. Selling strawberries can make a fortune too
MarketReader[ENG] DARK THEMEMarket Reader is a very sophisticated indicator giving you:
-BUY and SELL Opportunities
-Key supports and resistances where the market will react
-Early detection of RANGE before the contact with the top or the bottom of the range, it will also give you the target of the top and the bottom of the range
-Pattern of smartmoney activities, giving you signal that smart money is moving at this level of price
You will also found my complete strategy on my Youtube Channel
Enjoy
Utilization requires subscription
Supp_Ress_V1This indicator automatically plots support and resistance levels using confirmed pivot highs and lows, then manages them smartly by merging nearby levels, extending them, and removing them once price breaks through.
It also draws trendlines by connecting valid higher-lows (uptrend) or lower-highs (downtrend), ensuring they slope correctly and have enough spacing between pivots.
In short: it gives you a clean, trader-like map of the most relevant S/R zones and trendlines, updating dynamically as price action unfolds.
Time Cycles SMT Detector📊 Overview
The Time Cycles SMT Detector is an advanced indicator designed to identify Smart Money Technique (SMT) divergences across multiple time cycles during the New York trading session. It compares price action between correlated instruments to spot institutional footprints and potential market reversals.
🎯 What is SMT (Smart Money Timing)?
SMT occurs when correlated markets fail to make matching highs or lows, indicating potential institutional manipulation or positioning. This divergence often precedes significant market moves.
⚙️ Key Features
Multi-Timeframe Cycle Analysis:
90-minute cycles (6 cycles per trading day) - Major institutional positioning
30-minute cycles (18 cycles per trading day) - Intermediate market structure
10-minute cycles (54 cycles per trading day) - Intraday momentum shifts
3-minute cycles (180 cycles per trading day) - Scalping opportunities
Intelligent Overlap Prevention
Hierarchical priority system prevents visual clutter
Higher timeframe SMTs take precedence over lower timeframes
Clean, readable charts even with multiple active signals
Dual Correlation Analysis
Compare your main chart with two different instruments simultaneously
Default setup: MES1! (S&P 500) and MYM1! (Dow Jones)
Fully customizable ticker selection
📈 Trading Signals
Bullish SMT
Main instrument makes a higher low while correlated instrument makes a lower low
Indicates potential upward movement
Displayed with customizable bullish colors (default: green for MES, aqua for MYM)
Bearish SMT
Main instrument makes a lower high while correlated instrument makes a higher high
Indicates potential downward movement
Displayed with customizable bearish colors (default: red for MES, orange for MYM)
🔧 Customization Options
Visual Settings:
Toggle individual timeframe cycles on/off
Customize colors for each ticker's bullish/bearish signals
Choose line styles (solid, dashed, dotted)
Show/hide cycle text labels
Optional SMT zones with adjustable transparency
Cycle boxes for visual time segmentation
Analysis Settings:
Compare only consecutive cycles or scan multiple cycles back
Adjust maximum cycles to compare (1-20)
Enable/disable bullish or bearish SMT detection separately
Real-time alerts for all timeframes
💡 How to use it
Add to your chart - Works best on 1-minute timeframe for maximum precision
Select your correlated instruments - Default MES/MYM for NQ traders
Monitor for divergences - Look for SMT lines connecting cycle highs/lows
Confirm with market context - Use alongside your existing strategy
Trade the convergence - Expect prices to realign after SMT divergence
🎓 Best Practices
Focus on higher timeframes first - 90m and 30m SMTs carry more weight
Look for confluence - Multiple timeframes showing same direction SMT
Time your entries - Use lower timeframe SMTs (10m, 3m) for precise entry timing
Respect the hierarchy - When overlapping signals occur, higher timeframes have priority
⏰ Trading Hours
The indicator operates during New York trading hours (7:00 AM - 4:00 PM ET), automatically resetting at the start of each trading day.
🚀 Why This Indicator?
Institutional Logic: Based on how smart money creates divergences before major moves
Multi-dimensional Analysis: Four different time cycles provide complete market perspective
Clean Visualization: Smart overlap prevention keeps your charts readable
Flexible Configuration: Adapt to any correlated market pairs
Real-time Alerts: Never miss a significant SMT formation
📝 Notes
Designed primarily for index futures (NQ, ES, YM) but works with any correlated instruments
Best results on 1-minute charts for accurate cycle detection
All cycles reset at 7:00 AM New York time
Maximum effectiveness during regular trading hours
Acknowledgement
This indicator is based on ICT (Inner Circle Trader) concepts and Smart Money techniques for identifying institutional order flow through market divergences.
ATR: Body % + Ranges and AnomaliesATR: Body % + Ranges and Anomalies
This indicator provides a dual analysis of price bars to help you better understand market dynamics and volatility. It combines two powerful concepts into one tool: a candle body percentage and a range analysis with an anomaly-excluding average.
Key Features:
1. Candle Body Percentage
This feature plots the size of the candle's body as a percentage of its total high-low range.
A high percentage (e.g., above the 50% gray line) indicates strong, directional movement. The more solid the body is relative to its wicks, the more conviction is behind that move.
The 100% red line marks "Marubozu" candles—bars with no wicks, showing absolute control by buyers or sellers.
2. Range Analysis with Anomalies
This is a unique part of the indicator that helps you identify and understand normal vs. abnormal volatility.
Custom SMA: It calculates an average range of the last N bars, but it smartly excludes "anomalous" bars (spikes or unusually small ranges) from the calculation. This gives you a more reliable baseline for normal volatility.
Anomaly Detection: Bars are colored differently based on their range:
Blue: Small anomalies (range less than 0.5 * ATR). These often occur during periods of low liquidity or indecision.
Red: Large anomalies (range greater than 1.8 * ATR). These can signal a sudden burst of volatility, breakout events, or capitulation.
ATR Range % Label: The label on the chart shows the current bar's range as a percentage of the custom SMA. This tells you how much larger or smaller the current bar's range is compared to a clean average.
How to Use:
Spotting Trends: Use the Body % to confirm the strength of a trend. A series of bars with high body percentages can indicate a strong, healthy trend.
Identifying Volatility: Use the Range Analysis to find areas of interest. A large red anomaly bar could signal a significant event, while a series of blue anomalies might suggest the market is in a tight consolidation before a breakout.
Contextual Analysis: The combination of these tools can provide powerful context. For example, a bar with a high Body % and a red anomaly color suggests a strong, volatile move that could be a turning point or the start of a major trend.
Experiment with the input settings to fine-tune the ATR and SMA periods for different timeframes and assets.
