Slope Rank ReversalThis tool is designed to solve the fundamental problem of "buying low and selling high" by providing objective entry/exit signals based on momentum extremes and inflection points.
The System employs three core components:
Trend Detection (PSAR): The Parabolic SAR is used as a filter to confirm that a trend reversal or transition is currently underway, isolating actionable trade setups.
Dynamic Momentum Ranking: The indicator continuously measures the slope of the price action. This slope is then ranked against historical data to objectively identify when an asset is in an extreme state (overbought or oversold).
Signal Generation (Inflection Points):
Oversold/Buy: A 🟢 Green X is generated only when the slope ranking indicates the market is steeply negative (oversold), and the slope value begins to tick upwards (the inflection point), signaling potential mean reversion.
Overbought/Sell: A 🔴 Red X is generated only when the slope ranking indicates the market is steeply positive (overbought), and the slope value begins to tick downwards, signaling momentum exhaustion.
The core philosophy is simple: Enter only when the market is exhausted and has started to turn.
Wave Analysis
ECG PRICE - mauricioofsousa📉 ECG PRICE – The Price Electrocardiogram
(explained for traders, scientists, and complete beginners)
🔍 1. WHAT IS THE ECG PRICE?
The ECG PRICE protocol is a market-reading system based on the RSI, but with a surgical twist:
👉 You don’t just calculate RSI from price.
👉 You adjust the price using the RSI, and then calculate RSI over this adjusted price.
This creates a filtered, amplified signal that behaves like a heart monitor for price, detecting micro-impulses and subtle market movements long before they show up in the standard RSI.
🧬 2. CORE IDEA
Just like a real ECG amplifies and reveals electrical rhythms hidden inside the heartbeat,
the ECG PRICE amplifies micro-deformations hidden inside the price’s momentum.
It works in three stages:
Compute the regular RSI
Use the RSI to adjust the price (creating an electrocardiographic price)
Compute a second RSI over this modified price
The result is a meta-derived oscillator—more sensitive, more precise, and better at detecting structural changes.
🧩 3. TECHNICAL BREAKDOWN
3.1. First RSI (classic)
The script calculates:
average gains
average losses
relative strength (RS)
and then the standard 0–100 RSI
This is the “normal heart rate monitor” everyone uses.
3.2. Creating the “Adjusted Price”
adjustedPrice = close * (rsi / 100)
This means:
➡️ When RSI is high (strong buying momentum), price is amplified.
➡️ When RSI is low (strong selling momentum), price is compressed.
This converts raw price into a bio-electrical signal, where the price itself is modulated by its own internal momentum.
It’s the financial equivalent of ECG gain adjustment.
3.3. RSI of the Adjusted Price
Now the script calculates a new RSI from this modified price.
That is the actual ECG PRICE.
This second-order oscillator becomes extremely sensitive to:
micro-momentum shifts
early trend fading
volatility shocks
micro-divergences
institutional pressure waves
It reads the electrical pattern behind the price rather than the superficial movement.
🟩🟥 4. Diagnostic Lines of the Protocol
35 (green dotted)
Pre-oversold fatigue zone.
65 (red dotted)
Pre-overbought exhaustion zone.
30 (white solid)
Classic oversold.
70 (white solid)
Classic overbought.
Together they create two diagnostic corridors:
1. Medical corridor (30–70):
Standard RSI clinical range.
2. Electrical corridor (35–65):
The ECG-sensitive zone where micro-shifts appear first.
🧠 5. In Engineering Language (MGO style)
The ECG PRICE is essentially:
A nonlinear second-order oscillator where the RSI feeds back into price, creating a recursive momentum-modulated signal.
It functions like a:
bioinformational modulator
feedback-driven wave processor
impulse amplifier
micro-PID sensitivity enhancer
Very similar to the informational-wave transformations inside the MGO pipeline.
👨⚕️📉 6. Explained for a Total Beginner
Imagine the price is a heart.
The normal RSI shows if the heart is beating fast or slow.
But the ECG PRICE takes that heartbeat…
feeds it back into the heart…
and then measures the new heartbeat.
This creates a much more sensitive exam that detects problems before the normal test would.
💡 7. What It Gives You in Practice
earlier reversal signals
better trend-fatigue detection
clearer micro-divergences
a clean RSI with reduced noise
a smoother momentum curve
advanced behavioral readings before breakouts
It’s an upgrade.
A second-layer RSI that “hears” the inner electrical impulses of price.
Gold 1&5 Min Trading Strategy [TradingFinder] XAU Scalper Signal🔵 Introduction
Scalping in financial markets is based on immediate price reactions and precise analysis of price action behavior. In this trading approach, the trader must identify signals that originate directly from market structure, momentum shifts, candlestick formations, and the position of price relative to key zones.
Supply and demand areas serve as the primary regions of order concentration and form the foundation of scalping analysis, since they provide the most accurate representation of balance or imbalance between buyers and sellers as well as the active flow of liquidity in the market.
In demand zones, price reactions usually begin with the formation of reversal or continuation candlestick patterns. These patterns include structures such as Pin Bar, Engulfing, Doji, Failure, Rejection, and other forms of false breakout behavior, each of which can indicate a potential short term change in direction.
Liquidity plays a central role in these reactions, because price entering a demand zone typically coincides with the absorption of sell side liquidity and the restoration of order flow. This process often leads to rapid movements that are suitable for scalping. Therefore, combining candlestick confirmation with the location of price inside a supply or demand zone is one of the most reliable methods of identifying low risk scalping signals.
Demand zones include several structural variations, each representing a different form of liquidity behavior. One of the most well known examples is the order block, which is the final bearish candle before a strong bullish movement and indicates the presence of unfilled buy side interest.
Another important structure is the Fair Value Gap, which appears when a price void forms across three consecutive candles due to a lack of liquidity during the moment of displacement. The market often returns to this area to restore balance. Imbalance structures also represent one sided pressure in order flow where the market reacts later to correct these inefficiencies.
Breaker structure is another key element in demand analysis. A breaker is formed when an order block is violated and price returns to the same level after collecting liquidity, then continues in the opposite direction. This pattern often appears near liquidity based highs or lows and reflects a shift in the strength of market participants.
Together, order blocks, Fair Value Gaps, imbalances, and breakers form the core of demand analysis in price action and are widely used in precise scalping strategies due to their strong connection with liquidity and the high predictability of price reactions within them.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This strategy is built on price action analysis, market reactions inside supply and demand zones, and confirmation through candlestick patterns. The first step is to identify key areas such as order blocks, Fair Value Gaps, imbalances, or breakers.
After these zones are located, price behavior within them is examined using candlestick structure and momentum direction. Entries are taken only when price reaches a validated zone, a clear sign of liquidity absorption or injection appears, and a confirming candlestick forms inside the zone.
This approach allows the trader to capture fast and precise entries during moments when the market is actively reacting to decision points.
🟣 Long Setup
In the buy setup, a valid demand zone must first be identified. This can be a bullish order block, an unfilled bullish Fair Value Gap, an imbalance at the lower part of structure, or a bullish breaker. When price enters this zone and shows signs of absorbing sell side liquidity, candlestick behavior must be examined.
Formation of reversal signals such as a Pin Bar with a long lower wick, bullish Engulfing, Rejection Candle, or a false breakout of the low, indicates a favorable shift in order flow. After receiving candlestick confirmation, a buy entry is taken within the same zone and the stop level is placed below the liquidity boundary. Targets are typically based on filling gaps, reaching supply zones, or returning to structural means.
🟣 Short Setup
In the sell setup, a valid supply zone must be recognized. This may include a bearish order block, a bearish Fair Value Gap, an imbalance at the upper part of structure, or a bearish breaker. When price enters this zone and liquidity accumulates above nearby highs, the probability of a fast momentum shift increases.
Confirmation occurs when a bearish reversal pattern forms such as Engulfing, Pin Bar with a long upper wick, indecisive Doji followed by rejection, or a false breakout of the high. After confirmation, the sell entry is placed and the stop level is set above the liquidity zone. Targets are selected based on filling lower Fair Value Gaps, reaching demand zones, or returning to structural midpoints.
🔵 Settings
Last Candle in Signal Direction : When On, a signal is issued only if the last candle moves in the direction required by the signal.
Signal in Nearly Zone : When enabled, the signal becomes valid even if the candle is near the zone rather than strictly inside it. When disabled, only signals formed inside the zone are allowed.
Allow Both Side Signals : When On, signals from both sides of the structure can be issued even if a limiting level exists. When disabled, only signals that do not violate the limiting level are allowed.
🔵 Conclusion
Using price action, supply and demand zones, and candlestick confirmation alongside liquidity analysis creates an effective framework for identifying fast market reactions in scalping conditions. Focusing on structures such as order blocks, Fair Value Gaps, imbalances, and breakers allows the trader to recognize shifts in momentum and changes in order flow with greater precision.
In this approach, entries are taken only when price reaches a validated zone, liquidity behavior is observable, and the confirming candle forms at the correct location. This leads to organized, low risk scalping signals that are aligned with the real time behavior of the market.
MaayaBullish_PROD_v14_Nov2025trying to analyses trend.
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trying to analyses trend.
RSI + ADX + ATR Strength GaugeThis indicator combines Relative Strength Index (RSI), Average Directional Index (ADX), and Average True Range (ATR) into a unified strength gauge that identifies high-quality trending conditions while filtering out choppy, low-volatility markets.
RSI measures momentum and overbought/oversold conditions.
ADX confirms trend strength (not direction), highlighting when price movement has strong follow-through.
ATR captures volatility expansion, filtering out flat, low-range candles where fake signals occur.
When the components diverge or show contraction, the gauge warns of market chop, suggesting it’s better to avoid entries or reduce position size.
Purpose:
To keep you out of sideways markets and confirm entries only when momentum, trend strength, and volatility all agree — reducing whipsaws and improving trade quality.
Tweak to your liking.
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
RastaRasta — Educational Strategy (Pine v5)
Momentum · Smoothing · Trend Study
Overview
The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line.
It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions.
The script displays:
A primary EMA line (the fast reactive wave).
A Smoothed line (using your chosen smoothing method).
Optional fog zones between them for quick visual context.
Optional DNA rungs connecting both lines to illustrate volatility compression and expansion.
Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment.
Core Idea
The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal.
Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed.
Smoothing Types Explained
The script lets you experiment with multiple smoothing techniques:
Type Description Use Case
SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames.
EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals.
RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response.
WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy.
None Disables smoothing; uses the EMA line alone. Raw comparison baseline.
Each smoothing method changes how early or late the strategy reacts:
Faster smoothing (EMA/WMA) = more responsive, good for scalping.
Slower smoothing (SMA/RMA) = more stable, good for trend following.
Modes of Study
🔹 Scalper Mode
Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA).
Focus on 1 min – 15 min charts.
Watch how quick crossovers appear near local tops/bottoms.
Fog and rung compression reveal volatility contraction before bursts.
Goal: study short-term rhythm and liquidity pulses.
🔹 Momentum Mode
Use moderate EMA (5–9) and RMA smoothing.
Ideal for 1 H–4 H charts.
Observe how the fog color aligns with trend shifts.
EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled.
Goal: study sustained motion between pullbacks and acceleration waves.
🔹 Trend-Follower Mode
Use longer EMA (13–21) with SMA smoothing.
Great for daily/weekly charts.
Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance.
Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility.
Goal: visualize slow-motion trend transitions and filter whipsaw conditions.
Components
EMA Line (Red): Fast-reacting short-term direction.
Smoothed Line (Yellow): Reference trend baseline.
Fog Zone: Green when EMA > Smoothed (up-momentum), red when below.
DNA Rungs: Thin connectors showing volatility structure.
EMA 8 / 21 Filter (optional):
When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21.
Use this to study higher-trend gating effects.
Educational Applications
Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline.
Trend Transitions: Compare different smoothing types to see how early or late reversals are detected.
Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability.
Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester.
How to Use
Add to Chart → “Strategy.”
Works on any timeframe and instrument.
Adjust Parameters:
Length: base EMA speed.
Smoothing Type: choose SMA, EMA, RMA, or WMA.
Smoothing Length: controls delay and smoothness.
EMA 8 / 21 Filter: toggles trend gating.
Fog & Rungs: visual study options only.
Study Behavior:
Use Strategy Tester → List of Trades for entry/exit context.
Observe how different smoothing types affect early vs. late “Enter” points.
Compare trend periods vs. ranging periods to evaluate efficiency.
Combine with External Tools:
Overlay RSI, MACD, or Volume for deeper correlation analysis.
Use replay mode to visualize crossovers in live sequence.
Interpreting the Labels
Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive).
Exit: Marks where fast EMA crosses back below.
These are purely analytical markers — they do not represent trade advice.
Educational Value
The Rasta framework helps learners explore:
Reaction time differences between moving-average algorithms.
Impact of smoothing on signal clarity.
Interaction of local and global trends.
Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones).
It’s a sandbox for studying price structure, not a promise of profit.
Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes.
Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior.
Author: Michael Culpepper (mikeyc747)
License: Educational / Open for study and modification with credit.
Philosophy:
“Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
Swing Distance Analyse + TableVisualize swing distances, cumulative supply/demand volume, and Ease of Movement in a structured table for precise market analysis.
Long Description:
This indicator detects pivot highs and lows to analyze market swings, calculating:
Swing distance between consecutive pivots
Cumulative volume for demand (highs) and supply (lows)
Ease of Movement (EMV-style) for each swing
Trend and extension flags for actionable insights
All swing data is displayed in a customizable table panel on your chart. Ideal for traders who want a clear, structured overview of recent swings, volume pressure, and market dynamics.
Features:
Configurable swing length and number of swings displayed
Table shows swing type, supply/demand trends, EMV, extension, duration, and result
Color-coded labels and table cells for quick interpretation
Works on all chart timeframes
Ichimoku Silver Bullet 2026 – Precision Cloud Signals⚡️ Ichimoku Silver Bullet 2026 – Precision Cloud Signals
Take your Ichimoku trading to the next level with Silver Bullet 2026 ⚔️
This advanced system detects Tenkan-Kijun crossovers, Kumo breakouts, and true Cloud confirmations — giving you only the cleanest, most reliable signals.
🔥 Features:
✅ Smart Bull 🟢 & Bear 🔴 alerts with Kumo validation
✅ Precision cloud logic for fewer fake signals
✅ Works on any timeframe & any market
✅ Plug-and-play Ichimoku setup — no clutter, pure signal
🎯 Trade with clarity. Enter with precision. Ride the Silver Bullet. 🌥🚀
Ultimate Ichimoku Trend Board MTF – 6× Cloud Analyzer⚡️ Ultimate Ichimoku Trend Board MTF – 6× Cloud Analyzer
Unleash the full power of Ichimoku with this multi-timeframe trend dashboard ⚙️
Quickly identify whether each timeframe is Bullish 🟢, Bearish 🔴, or Inside the Cloud 🟠, and align your trades with the dominant trend like a pro.
🔥 Features:
✅ 6 customizable timeframes (M5 → H4)
✅ Clean & minimal dashboard — no chart clutter
✅ Instantly visualize market direction across all layers
✅ Perfect for scalpers, intraday, and swing traders
💡 See the Clouds. Read the Trends. Dominate the Market. 🌥💪
Ultimate Prime Hyper Oscillator Pro [TraderCloud]추세, 변동성, 모멘텀, 평균회귀 모든 분석과 원리를 분석할 수 있는 최고의 오실레이터.
맨 상단에는 고래의 매수와 매도 시그널을 보여준다.
중간에는 rsi, mfi, rci, cci 등의 과열/과냉 지표를 로지스틱 회귀 평활화로 복합 운영하는 종합 모멘텀 오실레이터이다. 단기, 중기, 장기 이렇게 3가지의 기간별 다이버전스와 히든 다이버전스를 시각화한다.
또한 오실레이터 중간에 있는 히스토그램은 lazybear의 squeeze momentum oscillator를 기반으로 제작한 히스토그램 지표이다.
주요 변동성 오실레이터 바로 상/하단에는 히스토그램과 UPO 오실레이터의 추세가 동일하거나, 잠재성을 가질 때를 시각화해서 보여준다.
아래에는 중단기 추세를 Chop Zone 형식으로 시각화해서 보여준다.
아래 얇은 막대의 자잘 자잘한 신호들은 중단기적 평균회귀 구간을 보여준다.
마지막으로 테이블은 타임별 오실레이터의 추세를 간략화해서 정리해준다.
“The ultimate oscillator capable of analyzing all aspects of trend, volatility, momentum, and mean reversion.”
At the very top, it displays whale buy and sell signals.
In the middle, it functions as a comprehensive momentum oscillator that combines and smooths overbought/oversold indicators such as RSI, MFI, RCI, and CCI through logistic regression. It visualizes three types of divergences — short-term, mid-term, and long-term — as well as hidden divergences.
The histogram located in the center of the oscillator is based on LazyBear’s Squeeze Momentum Oscillator.
Right above and below the main volatility oscillator, it visualizes when the histogram and UPO oscillator share the same trend or show potential correlation.
At the bottom, mid- to short-term trends are visualized in a Chop Zone style.
The small thin bars below indicate short- to mid-term mean reversion zones.
Finally, the table provides a simplified summary of each oscillator’s trend by timeframe.
Binary Options 1 Minute Signals [TradingFinder] 1 Min Strategy🔵 Introduction
At first sight, price movement in binary options appears random, but behind every move lies a clear logic of liquidity and market imbalance. The market is always driven by the hunt for liquidity and the continuous rebalancing that takes place around Fair Value Gaps (FVGs) and Order Blocks (OBs). These zones are where institutional activity is concentrated and where Smart Money creates the most significant reactions.
When price approaches a key liquidity zone, it often performs a Liquidity Sweep to capture orders resting around previous highs or lows. This move usually presents itself as a False Breakout. Price briefly breaks a level to trigger stop losses and collect liquidity, then quickly reverses direction. Understanding this false breakout behavior is essential for identifying high probability reversals in binary options trading.
After the liquidity sweep, price typically retraces into a Fair Value Gap or Order Block, where the market seeks balance and new orders are introduced. This interaction between liquidity, imbalance, and institutional order flow forms the core logic of every Smart Money trading model.
By focusing on Liquidity Sweeps, False Breakouts, and the structure of FVGs and OBs, traders can read the true intention behind price movements. What seems like random volatility becomes a structured cycle of liquidity collection and reaction, offering clear opportunities for precision-based binary entries.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator works within the Smart Money framework and focuses on the connection between Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB).
It is created to help traders identify the moment when the market finishes collecting liquidity and begins to show signs of reversal.
The indicator studies how price behaves around zones where liquidity is concentrated, such as previous highs and lows or areas with visible inefficiency. When a clear reaction forms and a valid candle pattern confirms the shift in direction, the indicator generates a signal that represents the activity of Smart Money.
This tool does not respond to random volatility or noise. It waits for structure, liquidity and confirmation to align together before providing an entry. As a result, every signal has a logical base related to institutional order flow rather than ordinary price fluctuations. This approach allows traders to focus only on the movements that reflect true liquidity behavior.
🟣 Long Setup
A bullish setup takes place when the market moves downward and reaches a sell-side liquidity zone located below previous swing lows. In this area, price performs a Liquidity Sweep by moving under key levels to trigger stop losses and capture liquidity from trapped sellers.
This movement usually appears as a False Breakout because the market breaks below a level for a short moment and then quickly moves back inside the range.
Around this zone, a bullish Order Block or Fair Value Gap (FVG) often exists, showing where institutional demand is active.
When the indicator detects the presence of liquidity collection together with a valid bullish confirmation candle near an OB or FVG, it creates a Call signal.
This marks the moment when Smart Money is shifting from selling pressure to accumulation, and a strong bullish move often follows. For binary entries, the best opportunity usually comes immediately after the confirmation candle closes.
The reaction tends to happen quickly because the liquidity grab has completed and new institutional buying pressure is entering the market. This type of setup often provides a clean and precise entry with a high probability of success.
🟣 Short Setup
A bearish setup happens when the market rises and enters a buy-side liquidity area above previous highs. Here, the market performs a Liquidity Sweep to trigger stop losses placed above those highs and to absorb liquidity from trapped buyers.
This pattern forms what traders recognize as a False Breakout because the price only breaks the level temporarily before reversing in the opposite direction. A bearish Order Block or Fair Value Gap (FVG) often appears around this zone, showing where institutional selling interest exists.
Once the liquidity sweep completes and a bearish confirmation candle closes, the indicator produces a Put signal that reflects the shift from buying to selling pressure by Smart Money.
This moment often leads to a fast downward reaction as the market rebalances and fills the nearby inefficiency.
The most effective entry for binary trading is right after the confirmation candle closes, when the false breakout and liquidity collection are both completed. The price usually reacts sharply as the market transitions from liquidity hunting to a new directional move. This setup represents a structured view of how liquidity drives market cycles and how Smart Money creates precise reversals through controlled imbalance and reaction.
🔵 Settings
Time Frame : Defines the timeframe used for analysis. If left blank, the indicator automatically uses the chart’s current timeframe.
Swing Period : Determines how many candles are used to identify structural turning points such as swing highs and swing lows. Higher values increase accuracy but reduce the number of signals.
Signal Type : Specifies the type of signal generated by the indicator. The option All shows every signal, Main Signal displays only the primary one, and Alternative Signal produces a secondary signal that appears one candle after the main signal for additional confirmation.
Candle Pattern : Enables candle pattern logic for reversal confirmation. When active, the indicator issues a signal only when a valid candle formation confirms the market reaction.
Candle LookBack Check : Verifies that the last few candles move in the opposite direction of the signal to be generated. This condition acts as a confirmation filter, ensuring that the signal appears only after a clear counter-move in price.
Last Candle Direction : Considers the direction of the most recent candle in the analysis. It helps determine whether the final candle moves with or against the current trend.
Last Candle Shadow Ratio : Sets the ratio between the last candle’s wick and body to refine confirmation accuracy. Higher values require longer wicks, indicating stronger rejection and a more reliable reversal pattern.
🔵 Conclusion
Trading with Smart Money logic means understanding how liquidity moves through the market.
Each Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB) reflects the process of collecting and redistributing orders.
This indicator captures that sequence and turns it into precise, structured signals for binary entries. When liquidity is absorbed and a candle confirmation appears, the market reveals its true direction.
At that moment, traders can act with confidence, following institutional flow instead of reacting to random price moves.
Success with this system comes from patience, confirmation, and a clear reading of liquidity behavior, the core principles behind every Smart Money reversal.
GTI TrendThe GTI Trend is a trend-detection indicator that highlights potential market direction by coloring candles based on internal analysis of higher timeframe momentum and price action behavior.
Unlike simple moving average crossovers or RSI thresholds, GTI Trend uses a proprietary blend of price positioning logic and multi-timeframe validation. Specifically, it evaluates candle structures and key breakout zones from larger timeframes to determine whether short-term movements align with higher timeframe momentum — helping traders avoid false breakouts and identify real trend continuation zones.
The result is a real-time visual cue: green candles for bullish bias and red candles for bearish bias — tuned for lower timeframes like 1m, 3m, and 5m. This helps scalpers and short-term traders align entries with broader market structure.
How It Works
GTI Trend is built around the concept of directional alignment. It compares short-term price action against higher timeframe swing zones and dynamic reference levels. When price confirms breakout behavior while staying within those zones, the candle turns green or red accordingly. This avoids the lag often seen in classic indicators.
The system dynamically adapts to market volatility, making it particularly effective in fast-moving sessions like the New York Open (typically from 10:30 AM GMT -3).
Confluence Strategy
The GTI Trend is most effective when combined with a 38-period short-term moving average. If the candle is green and the price is above the MA, this confirms a bullish continuation. Conversely, a red candle below the MA may suggest a bearish reversal.
Pairing it with VWAP is also recommended, especially in index markets, as this highlights possible support/resistance zones to validate the signal.
Recommended Markets
The GTI Trend performs best on high-volatility assets such as NASDAQ, US30, SP500, Gold (XAUUSD), and the Brazilian mini index. However, it can be applied to any asset with sufficient price movement.
Sigma Trinity ModelAbstract
Sigma Trinity Model is an educational framework that studies how three layers of market behavior interact within the same trend: (1) structural momentum (Rasta), (2) internal strength (RSI), and (3) continuation/compounding structure (Pyramid). The model deliberately combines bar-close momentum logic with intrabar, wick-aware strength checks to help users see how reversals form, confirm, and extend. It is not a signal service or automation tool; it is a transparent learning instrument for chart study and backtesting.
Why this is not “just a mashup”
Many scripts merge indicators without explaining the purpose. Sigma Trinity is a coordinated, three-engine study designed for a specific learning goal:
Rasta (structure): defines when momentum actually flips using a dual-line EMA vs smoothed EMA. It gives the entry/exit framework on bar close for clean historical study.
RSI (energy): measures internal strength with wick-aware triggers. It uses RSI of LOW (for bottom touches/reclaims) and RSI of HIGH (for top touches/exhaustion) so users can see intrabar strength/weakness that the close can hide.
Pyramid (progression): demonstrates how continuation behaves once momentum and strength align. It shows the logic of adds (compounding) as a didactic layer, also on bar close to keep historical alignment consistent.
These three roles are complementary, not redundant: structure → strength → progression.
Architecture Overview
Execution model
Rasta & Pyramid: bar close only by default (historically stable, easy to audit).
RSI: per tick (realtime) with bar-close backup by default, using RSI of LOW for entries and RSI of HIGH for exits. This makes the module sensitive to intra-bar wicks while still giving a close-based safety net for backtests.
Stops (optional in strategy builds): wick-accurate: trail arms/ratchets on HIGH; stop hit checks with LOW (or Close if selected) with a small undershoot buffer to avoid micro-noise hits.
Visual model
Dual lines (EMA vs smoothed EMA) for Rasta + color fog to see direction and compression/expansion.
Rungs (small vertical lines) drawn between the two Rasta lines to visualize wave spacing and rhythm.
Clean labels for Entry/Exit/Pyramid Add/RSI events. Everything is state-locked to avoid spamming.
Module 1 — Rasta (Structural Momentum Layer)
Goal: Identify structural momentum reversals and maintain a consistent, replayable backbone for study.
Method:
Compute an EMA of a chosen price source (default Close), and a smoothed version (SMA/EMA/RMA/WMA/None selectable).
Flip points occur when the EMA line crosses the smoothed line.
Optional EMA 8/21 trend filter can gate entries (long-bias when EMA8 > EMA21). A small “adaptive on flip” option lets an entry fire when the filter itself flips to ON and the EMA is already above the smoothed line—useful for trend resumption.
Why bar close only?
Bar-close Rasta gives a stable, auditable timeline for the structure of the trend. It teaches users to separate “structure” (close-resolved) from “energy” (intrabar, via RSI).
Visuals:
Fog between the lines (green/red) to show regime.
Rungs between lines to show spread (compression vs expansion).
Optional plotting of EMA8/EMA21 so users can see the gating effect.
Module 2 — RSI (Internal Strength / Energy Layer)
Goal: Reveal the intrabar strength/weakness that often precedes or confirms structural flips.
Method:
Standard RSI with adjustable length and signal smoothing for the panel view.
Logic uses wick-aware sources:
Entry trigger: RSI of LOW (same RSI length) touching or below a lower band (default 15). Think of it as intraband reactivation from the bottom, using the candle’s deepest excursion.
Exit trigger: RSI of HIGH touching or above an upper band (default 85). Think of it as exhaustion at the top, using the candle’s highest excursion.
Realtime + Close Backup: fires intrabar on tick, but if the realtime event was missed, the close backup will note it at bar end.
Cooldown control: optional bars-between-signals to avoid rapid re-triggers on choppy sequences.
Why wick-aware RSI?
A close-only RSI can miss the true micro-extremes that cause reversals. Using LOW/HIGH for triggers captures the behavior that traders actually react to during the bar, while the bar-close backup preserves historical reproducibility.
Module 3 — Pyramid (Continuation / Compounding Layer)
Goal: Teach how continuation behaves once a trend is underway, and how adds can be structured.
Method:
Same dual-line logic as Rasta (EMA vs smoothed EMA), but only fires when already in a position (or after prior entry conditions).
Supports the same EMA 8/21 filter and optional adaptive-on-flip behavior.
Bar close only to maintain historical cohesion.
What it teaches:
Adds tend to cluster when momentum persists.
Students can experiment with add spacing and compare “one-shot entries” vs “laddered adds” during strong regimes.
How the Pieces Work Together
Rasta establishes the structural frame (when the wave flip is real enough to record at close).
RSI validates or challenges that structure by tracking intrabar energy at the extremes (low/high touches).
Pyramid shows what sustained continuation looks like once (1) and (2) align.
This produces a layered view: Structure → Energy → Progression. Users can see when all three line up (strongest phases) and when they diverge (riskier phases or transitions).
How to Use It (Step-by-Step)
Quick Start
Apply script to any symbol/timeframe.
In Strategy/Indicator Properties:
Enable On every tick (recommended).
If available, enable Using bar magnifier and choose a lower resolution (e.g., 1m) to simulate intrabar fills more realistically.
Keep On bar close unchecked if you want to observe realtime logic in live charts (strategies still place orders on close by platform design).
Default behavior: Rasta & Pyramid = bar close; RSI = per tick with close backup.
Reading the Chart
Watch for Rasta Entry/Exit labels: they define clean structural turns on close.
Watch RSI Entry (LOW touch at/below lower band) and RSI Exit (HIGH touch at/above upper band) to gauge internal energy extremes.
Pyramid Add labels reveal continuation phases once a move is already in progress.
Tuning
Rasta smoothing: choose SMA/EMA/RMA/WMA or None. Higher smoothing → later but cleaner flips; lower smoothing → earlier but choppier.
RSI bands: a common educational setting is 15/85 for strong extremes; 20/80 is a bit looser.
Cooldown: increase if you see too many RSI re-fires in chop.
EMA 8/21 filter: toggle ON to study “trend-gated” entries, OFF to study raw momentum flips.
Backtesting Notes (for Strategy Builds)
Stops (optional): trail is armed when price advances by a trigger (default D–F₀), ratchets only upward from HIGH, and hits from LOW (or Close if chosen) with a tiny undershoot buffer to avoid micro-wicks.
Order sequencing per bar (mirrors the script’s code comments):
Trail ratchet via HIGH
Intrabar stop hit via LOW/CLOSE → immediate close
If still in position at bar close: process exits (Rasta/RSI)
If still in position at bar close: process Pyramid Add
If flat at bar close: process entries (Rasta/RSI)
Platform reality: strategies place orders at bar close in historical testing; the intrabar logic improves realism for stops and event marking but final order timestamps are still close-resolved.
Inputs Reference (common)
Modules: enable/disable RSI and Pyramid learning layers.
Rasta: EMA length, smoothing type/length, EMA8/21 filter & adaptive flip, fog opacity, rungs on/off & limit.
RSI: RSI length, signal MA length (panel), Entry band (LOW), Exit band (HIGH), cooldown bars, labels.
Pyramid: EMA length, smoothing, EMA8/21 filter & adaptive adds.
Execution: toggle Bar Close Only for Rasta/Pyramid; toggle Realtime + Close Backup for RSI.
Stops (strategy): Fixed Stop % (first), Fixed Stop % (add), Trail Distance %, Trigger rule (auto D–F₀ or custom), undershoot buffer %, and hit source (LOW/CLOSE).
What to Study With It
Convergence: how often RSI-LOW entry touches precede the next Rasta flip.
Divergence: cases where RSI screams exhaustion (HIGH >= upper band) but Rasta hasn’t flipped yet—often transition zones.
Continuation: how Pyramid adds cluster in strong moves; how spacing changes with smoothing/filter choices.
Regime changes: use EMA8/21 filter toggles to see what happens at macro turns vs chop.
Limitations & Scope
This is a learning tool, not a trade copier. It does not provide financial advice or automated execution.
Intrabar results depend on data granularity; bar magnifier (when available) can help simulate lower-resolution ticks, but true tick-by-tick fills are a platform-level feature and not guaranteed across all symbols.
Suggested Publication Settings (Strategy)
Initial capital: 100
Order size: 100 USD (cash)
Pyramiding: 10
Commission: 0.25%
Slippage: 3 ticks
Recalculate: ✓ On every tick
Fill orders: ✓ Using bar magnifier (choose 1m or similar); leave On bar close unchecked for live viewing.
Educational License
Released under the Michael Culpepper Gratitude License (2025).
Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
VMMA Wave Edges [MTF]The VMMA Wave Edges is a multi-timeframe (MTF) overlay indicator that plots dynamic upper and lower edges formed by a band of Volume-Weighted Moving Averages (VWMAs) of varying lengths. It computes N VWMAs with lengths increasing arithmetically from start_len by incr, then plots:The maximum of all VWMAs → Upper Edge
The minimum of all VWMAs → Lower Edge
These edges are calculated on a higher timeframe (mtf_tf) and projected onto the current chart, creating a smooth, volume-sensitive envelope that adapts to volatility and trend strength.Use & InterpretationFeature
Purpose
Upper Edge
Dynamic resistance zone; price often reacts when approaching or breaking above.
Lower Edge
Dynamic support zone; price tends to bounce or consolidate near it.
Edge Contraction
Low volatility → potential breakout setup.
Edge Expansion
High volatility → trend continuation or exhaustion.
MTF Projection
Avoids repainting & noise by using cleaner higher-timeframe data.
Trading ApplicationsMean ReversionBuy near Lower Edge, sell near Upper Edge (especially in ranging markets).
Breakout ConfirmationPrice closing above Upper Edge on MTF → bullish breakout.
Below Lower Edge → bearish.
Trend FilterIn uptrend: price above Upper Edge → strong momentum.
In downtrend: price below Lower Edge → strong bearish control.
Support/Resistance FlipBroken Upper Edge → becomes future support (and vice versa).
The Machine – Session Map PRO (final)The Machine – Session Map
Overview
The Machine – Session Map is a session-based analytical indicator that divides the trading day into the three main global sessions — Asia, London, and New York — and maps their price behavior using structured logic. It’s designed for traders who study intraday cycles, session liquidity behavior, and inter-session relationships.
Core Logic
The indicator identifies the start and end times of each major trading session based on user-defined session times. For every session, it:
Captures session range by recording the high, low, and close between session start and end.
Stores previous session data and projects key levels (previous session high, low, and midpoint) into the next day as reference support/resistance zones.
Computes pip range and volatility metrics per session to measure strength and expansion.
Determines directional bias by comparing the session’s close relative to its open and prior session range (expansion above or below prior structure defines bias).
Detects accumulation and distribution zones using session overlap logic and range compression/expansion criteria.
Labels session structures with automatic annotations such as “Expansion,” “Retracement,” or “Reversal” when volatility or bias conditions are met.
Visual Elements
Session Boxes: Colored regions that visually segment the chart into the three sessions.
High/Low Lines: Dynamic lines showing real-time session highs and lows as price develops.
Previous Session Levels: Optional projection of previous highs/lows/midpoints as structural zones.
Bias Labels: Text markers summarizing session direction and volatility conditions.
Dashboard Panel: Displays current session time, range in pips, and directional bias summary.
Use Case
This tool is useful for identifying intraday structure shifts, comparing session volatility, and observing how price behaves relative to prior session levels. It can support strategies involving session-based liquidity cycles, accumulation/manipulation/distribution behavior, or time-based confluence.
Disclaimer
This indicator is designed for technical and educational analysis. It does not generate buy/sell signals or provide financial advice.
Quantum Leap by GSK-Vizag-AP-IndiaQuantum Leap by GSK-Vizag-AP-India
This indicator detects strong impulse price movements, also known as "quantum leaps," in bullish and bearish directions. Using the Average True Range (ATR) to measure market volatility, it identifies candles with body sizes significantly larger than recent average ranges, suggesting strong momentum surges.
The script groups consecutive impulse candles into blocks, highlighting zones of sustained bullish or bearish strength on the chart. These visual blocks aid traders in quickly spotting powerful price moves that may indicate key market shifts or reversals. Additionally, this tool can be effectively used to identify Fair Value Gaps (FVG) in price action, making FVG detection easier and more intuitive for users.
Inputs allow customization for ATR length, impulse strength threshold, and minimum consecutive candles, enabling adaptation to different markets or timeframes.
Important Disclaimer:
This indicator is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Users should conduct their own research and seek professional guidance before making any trading decisions. Trading involves risk, including the potential loss of capital.
Market Profit X (MPX)Hi Traders,
Welcome to Market Profit X (MPX)
Keep
It
Simple
Stupid
I have created MPX to give a main screen visual with simple easy Buy/Sell signals based on your favorite wave trend oscillators.
Traders' learners through to advanced will and I say will PROFIT using MPX easy to follow system.
The 12: Tema and 56: Tema are utilized umm yeah that's right the same ones you are paying thousands for 56 Tema giving you your baseline or zero line on the common Wave Trend Oscillator and the 12 Tema giving you that momentum where all chasing.
One thing after years of studying what really is the bread and butter? Money money money that's what matters money flowing in money flowing out Long/Short yeah. So that's what your BUY/SELL signals are based on and they work.
I have added ATR for stops and have found after extensive trials setting multiplier to 2.5 you are going to have a high % of winning trades which you can thank me with i will send my BTC wallet Addy.
I have added the 8 EMA for another extremely rewarding swing system that i may share with my crew or people I like. I hear you already 8 EMA yeah right that's old worth nothing well it's what I do with this is the magic.
So how do I use? i can see the DM box filling up now because i have been reluctant to release this simple little indicator because i trialed it put in hard yards and know it's a banger.
first one i share and if i get no donations i take down because i know you will be hitting home runs.
Top-down analysis first are we bull or bear? then i drop to the 30m or 15m and wait for BUY/SELL signal go to your favorite wave trend oscillator i have mine over at Marketspy.com and take a good look at your money flow. I will wait for candle to close and confirm then buy next candles open or drop down to the 5m for slight pullback for entry.
Tip one: I like to buy 60 or -60 levels with confidence what will catch you reg bear divs.
like everything not every signal a home run that's why as soon as you take the trade you are looking at your stop and setting it in stone if you get hit o well onto the next. What's your number one? protecting your bank.
Now like i said the 8EMA system is a special spice i may share with special people as it requires training.
Enjoy tell me i suck i don't care i know it works and makes consistent money and my trading group guys will vouch for me.
Thank you, Trader (IKN) I Know Nothing out.
Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction
In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated.
When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies.
In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies.
After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades.
By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading.
Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete.
Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals.
🟣 Long Position
A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point.
When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal.
In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles.
In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup.
🟣 Short Position
A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal.
This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed.
In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive.
In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win.
🔵 Settings
Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe.
Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals.
Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals.
🔵 Conclusion
A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market.
This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal.
Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes.
Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
BUY LOW, BUY MORE, SELL HIGH -BUFFET STRATEGY LITE__________________________________________________________________________
Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI)
__________________________________________________________________________
Category: Quantitative Momentum & Liquidity Flow
Author: JTMarketAI
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
__________________________________________________________________________
Core Features
__________________________________________________________________________
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
__________________________________________________________________________
Why It Does Not Repaint
__________________________________________________________________________
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
__________________________________________________________________________
Lite Edition Notes
__________________________________________________________________________
Manual trading focused
Buffett Meter enabled
Up to 20 trades per session
Visual dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
__________________________________________________________________________
Limitations
__________________________________________________________________________
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
__________________________________________________________________________
Warnings
__________________________________________________________________________
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
__________________________________________________________________________
Disclaimer
__________________________________________________________________________
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
__________________________________________________________________________
Hashtags
__________________________________________________________________________
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE
TV Description - Buffett Meter Lite
body{font-family:Arial,Helvetica,sans-serif;max-width:900px;margin:32px auto;line-height:1.4} h1,h2{margin:16px 0 8px}
Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM)
Category: Quantitative Momentum & Liquidity Flow
Author: JTM
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
Core Features
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
Why It Does Not Repaint
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
Lite Edition Notes
Manual trading focused
Buffett Meter enabled
Limit of 20 trades per session
Buffet Meter dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
Limitations
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
Warnings
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
This is edge-based, not “trade every wiggle” logic
“Be fearful when others are greedy, and greedy when others are fearful.” — Buffett
“The stock market transfers money from the impatient to the patient.” — Buffett
Disclaimer
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
Hashtags
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
RTPL(lite)RTPL(lite) — Free
Simple, powerful, no cost.
• Auto-detects Wave 5
• Shows TP target
• 400D EMA line
• Golden Cross alert
• Gaussian channel
Works on any chart. No subscription needed.
Full version ($109) → rtpl.gumroad.com/l/rtpl-plus
brrr on $ indicator 𐤀it is an indicator that brrr's too but this one only brrr's on $.
ppl want know more about $ but thats all. it just brrr's $
sometimes it brrr's $ sometimes it wont. but wen it brrr's $ it really brrr's $.
brrr
