market phases - JDThis indicator shows the relation of price against different period ma's.
When put in daily Timeframe it gives the 1400 Day (= 200 Weekly) and the 200 ,100 an 50 Daily.
The lines show the 200,100 and 50 ma in relation to the 1400 ma.
JD.
#NotTradingAdvice #DYOR
Pesquisar nos scripts por "entry"
Market SCALPER v0.1This is my personnal script and rules for scalping Cryptocurrencies (on bitmex) and SP500 (or DAX or DJI) on 1 minute timeframe
Advantages:
-Simple to use with clear rules
-High success rate (if you follow the rules)
-cheap Stoploss
- Mean risk-reward ratio>2.2
-Possibility to catch and stay in big move
Rules:
1) Use heinkin ashi candles (remove noise)
2)Long entry:
- Price above SMA50 (SMA 50 rising is better)
-White line = entry long if RSI is not red
-Stop loss few ticks below the recent low
-Take profit when red line or dots appear above bars
3) Short entry
- Price belowSMA50 (SMA 50 fallingis better)
-redline = entry short if RSI is not green
-Stop loss few ticks above the recent low
-Take profit when white line or dots appear below bars
Contact by MP for access rules
Sim-Wave-DNA A nice script that helps finding tradable market conditions.
The Sim-Wave-DNA consist of 3 parts.
Volume
Money Flow
Advisor
Volumen bars > 0 show the Normalized Volume where the volume exceeding the pink line (exceeding the average of vol) is plotted in solide color
Money Flow bars < 0 show the amount of capital flowing in and out of the market, red is negative and green positive moneyflow.
The advisory (arrows) shows areas of caution, this are likely reversal areas.
Happy Trading
Shadow MACDThis Script is basically made by looking this video (watch it for more informations)
-> www.youtube.com
For me MACD is one of the best indicators out there so with a faster macd it can help me find my entrys easier in the market
So i added the 4C MACD ( by vkno422) with a histogram MACD
Those are the best settings that i found for this strategy. if you find better just let me know ;)
VFilterAlthough this script is inspired by the design of Elder Impulse script created by LazyBear, the engine is not the same.
The goal of this indicator is to filter price movement, establish direction, and manage risk. This indicator is not be used on its own, its only to be used to help establish entrys and exits.
The signals are created using a privately developed moving average on multiple time frames.
HOW TO
15, 60, 120, or 240 min chart
Green = Buy signal
Red = Sell signal
Blue = Bullish consolidation, or an aggressive/riskier buy signal
Yellow = Bearish consolidation. or an aggressive/riskier sell signal
Adjustment value is high due to the nature of the moving averages. Try using 400, 700, 900, or 950 for best results.
I suggest using this indicator with MACD and a levels indicator for price targets.
Looney's Forex Buy SignalsI created this Forex buy signal indicator to save myself some time when looking for buy opportunities. The signals are generated from a combination of several indicators such as the RSI, MACD, Wave Oscillator etc. I spent alot of time tweaking all the values to give me reliable signals. I trade one hour candles and generally get 50+ pips per signal.
If price goes down after the first signal and I get another signal, I buy again which means I get a average buy price (dollar cost average) and then sell when it reaches my profit level.
Alerts are built-in as well. The indicator does repaint at the moment so set the alert to "on candle close" to ensure that you get a valid signal. Longer timeframes works better and as mentioned I use 1 hour candle.
I will release the back-test of this indicator shortly where you can then enter your capital amount and set profit & stop loss levels to see how you would have performed based on historical data.
The current version is free and I will grant access on request.
Comments & suggestions welcome.
NG [Wave Period Oscillator]The WPO is a short-term oscillator that measures the buying and selling period of price cycles over a certain time interval.
The leading oscillator indicates a rise in buying period when it moves above the zero line and a rise in selling period when it moves below the zero line.
Trading Tactics
Center line Crossover: a bullish center line crossover occurs when the WPO line moves above the zero level to turn positive.
A bearish center line crossover occurs when the WPO line moves below the zero level to turn negative.
When bulls are in control, the price rally begins and the average of the bull’s period T increases to drive the WPO line above the center line.
A buy signal is subsequently triggered.
When the bulls start to loose power, prices move sideways and the average period decreases. In this case, the WPO line may fl utter near the center line and cause false signals, whipsaws.
To avoid the whipsaws occurring on the center line, the following trading tactics are proposed:
Uptrend Tactic:
During an ideal uptrend, the WPO does not reach the lower boundary -2 and usually rebounds from a higher level than -2.
This means that the bulls have taken control earlier. Hence, a zero line crossover generates a buy signal. The WPO crosses the upper boundary at +2 then pulls back again below +2 to generate a sell signal.
Sideways Tactic:
During sideways, the WPO fluctuates between the lower and upper boundaries -2 and 2. This tactic is also used in an uptrend where corrections are strong enough to drive the WPO line below the lower boundary.
Downtrend Tactic:
During downtrends, the WPO fails to reach the upper boundary and oscillates between the 0 and -2 levels. The bears enter early indicating an obvious weakness in the market. Therefore, crossing the zero level generates a sell signal.
Exit at Weakness:
During uptrend reversals and downtrends, the WPO oscillates between the center line and the lower boundary -2. The bears are controlling the market and move in wide cycle periods while the bull’s strength is almost absent.
An exit signal is triggered once the WPO crosses -2. When prices decline, the WPO may cross its extreme lower boundary at -2.7. Therefore, a swift exit signal is triggered once the WPO crosses -2.
Re-Entry:
During uptrend, the WPO crosses down the upper boundary level at +2 to generate a sell signal. Yet, it does not reach the zero line and the oscillator moves back toward the upper boundary.
This case is considered as strength while a re-entry signal occurs at the +2 level crossover. The sell signal is generated when the WPO line crosses down the upper boundary.
EurUsd Momentum Heiken AshiEURUSD Monthly and Weekly indicator that measures the slope between open and close.
***Works best on Heiken Ashi-as it smooths out the lines.
-In essence, it is the same thing as Heiken Ashi but gives a better visual for entry beside "the candle is red so I should sell"
-Method For Entry:
**Look for a Higher Low to --->buy at indicator >=0
**Look for Lower High to ----->sell at indicator <=0
**Look at Heiken Ashi candle with support and resistance zones
**Draw trend-lines such as channels, pennants, etc..
Daily ATR%If You are using a percentage of the Daily Average True Range in determining your stop placement,
this quick indicator is for You.
excerpt from investopedia.com/articles/trading/06/stopplacement.asp
ATR % Stop Method
The ATR% stop method can be used by any type of trader because the width of the stop is determined by the percentage of average true range (ATR). ATR is a measure of volatility over a specified period of time. The most common length is 14, which is also a common length for oscillators such as the relative strength index (RSI) and stochastics. A higher ATR indicates a more volatile market, while a lower ATR indicates a less volatile market. By using a certain percentage of ATR, you ensure that your stop is dynamic and changes appropriately with market conditions.
For example, for the first four months of 2006, the GBP/USD average daily range was around 110 to 140 pips. A day trader may want to use a 10% ATR stop - meaning that the stop is placed 10% x ATR pips from the entry price.In this instance, the stop would be anywhere from 11 to 14 pips from your entry price. A swing trader might use 50% or 100% of ATR as a stop. In May and June of 2006, daily ATR was anywhere from 150 to 180 pips. As such, the day trader with the 10% stop would have stops from entry of 15 to 18 pips while the swing trader with 50% stops would have stops of 75 to 90 pips from entry.
[RS]Linear Regression Bands V1experiment with linear regression, the purpose was to catch break outs early, but it creates to much visual noise
same as version 0 but with added margin filter and signal to mark entrys
Deadband Hysteresis Supertrend [BackQuant]Deadband Hysteresis Supertrend
A two-stage trend tool that first filters price with a deadband baseline, then runs a Supertrend around that baseline with optional flip hysteresis and ATR-based adverse exits.
What this is
A hybrid of two ideas:
Deadband Hysteresis Baseline that only advances when price pulls far enough from the baseline to matter. This suppresses micro noise and gives you a stable centerline.
Supertrend bands wrapped around that baseline instead of raw price. Flips are further gated by an extra margin so side changes are more deliberate.
The goal is fewer whipsaws in chop and clearer regime identification during trends.
How it works (high level)
Deadband step — compute a per-bar “deadband” size from one of four modes: ATR, Percent of price, Ticks, or Points. If price deviates from the baseline by more than this amount, move the baseline forward by a fraction of the excess. If not, hold the line.
Centered Supertrend — build upper and lower bands around the baseline using ATR and a user factor. Track the usual trailing logic that tightens a band while price moves in its favor.
Flip hysteresis — require price to exceed the active band by an extra flip offset × ATR before switching sides. This adds stickiness at the boundary.
Adverse exit — once a side is taken, trigger an exit if price moves against the entry by K × ATR .
If you would like to check out the filter by itself:
What it plots
DBHF baseline (optional) as a smooth centerline.
DBHF Supertrend as the active trailing band.
Candle coloring by trend side for quick read.
Signal markers 𝕃 and 𝕊 at flips plus ✖ on adverse exits.
Inputs that matter
Price Source — series being filtered. Close is typical. HL2 or HLC3 can be steadier.
Deadband mode — ATR, Percent, Ticks, or Points. This defines the “it’s big enough to matter” zone.
ATR Length / Mult (DBHF) — only used when mode = ATR. Larger values widen the do-nothing zone.
Percent / Ticks / Points — alternatives to ATR; pick what fits your market’s convention.
Enter Mult — scales the deadband you must clear before the baseline moves. Increase to filter more noise.
Response — fraction of the excess applied to baseline movement. Higher responds faster; lower is smoother.
Supertrend ATR Period & Factor — traditional band size controls; higher factor widens and flips less often.
Flip Offset ATR — extra ATR buffer required to flip. Useful in choppy regimes.
Adverse Stop K·ATR — per-trade danger brake that forces an exit if price moves K×ATR against entry.
UI — toggle baseline, supertrend, signals, and bar painting; choose long and short colors.
How to read it
Green regime — candles painted long and the Supertrend running below price. Pullbacks toward the baseline that fail to breach the opposite band often resume higher.
Red regime — candles painted short and the Supertrend running above price. Rallies that cannot reclaim the band may roll over.
Frequent side swaps — reduce sensitivity by increasing Enter Mult, using ATR mode, raising the Supertrend factor, or adding Flip Offset ATR.
Use cases
Bias filter — allow entries only in the direction of the current side. Use your preferred triggers inside that bias.
Trailing logic — treat the active band as a dynamic stop. If the side flips or an adverse K·ATR exit prints, reduce or close exposure.
Regime map — on higher timeframes, the combination baseline + band produces a clean up vs down template for allocation decisions.
Tuning guidance
Fast markets — ATR deadband, modest Enter Mult (0.8–1.2), response 0.2–0.35, Supertrend factor 1.7–2.2, small Flip Offset (0.2–0.5 ATR).
Choppy ranges — widen deadband or raise Enter Mult, lower response, and add more Flip Offset so flips require stronger evidence.
Slow trends — longer ATR periods and higher Supertrend factor to keep you on side longer; use a conservative adverse K.
Included alerts
DBHF ST Long — side flips to long.
DBHF ST Short — side flips to short.
Adverse Exit Long / Short — K·ATR stop triggers against the current side.
Strengths
Deadbanded baseline reduces micro whipsaws before Supertrend logic even begins.
Flip hysteresis adds a second layer of confirmation at the boundary.
Optional adverse ATR stop provides a uniform risk cut across assets and regimes.
Clear visuals and minimal parameters to adjust for symbol behavior.
Putting it together
Think of this tool as two decisions layered into one view. The deadband baseline answers “does this move even count,” then the Supertrend wrapped around that baseline answers “if it counts, which side should I be on and where do I flip.” When both parts agree you tend to stay on the correct side of a trend for longer, and when they disagree you get an early warning that conditions are changing.
When the baseline bends and price cannot reclaim the opposite band , momentum is usually continuing. Pullbacks into the baseline that stall before the far band often resolve in trend.
When the baseline flattens and the bands compress , expect indecision. Use the Flip Offset ATR to avoid reacting to the first feint. Wait for a clean band breach with follow through.
When an adverse K·ATR exit prints while the side has not flipped , treat it as a risk event rather than a full regime change. Many users cut size, re-enter only if the side reasserts, and let the next flip confirm a new trend.
Final thoughts
Deadband Hysteresis Supertrend is best read as a regime lens. The baseline defines your tolerance for noise, the bands define your trailing structure, and the flip offset plus adverse ATR stop define how forgiving or strict you want to be at the boundary. On strong trends it helps you hold through shallow shakeouts. In choppy conditions it encourages patience until price does something meaningful. Start with settings that reflect the cadence of your market, observe how often flips occur, then nudge the deadband and flip offset until the tool spends most of its time describing the move you care about rather than the noise in between.
Chermane's ATM Modelhh & ll after 7a till 930
12a and 830 as premium discount
take out one side with the judas target the other
entry: rb, vi, ob, ifvg, fvg, bb at or below .5 of the dealing range
the indicator annotates the highest high and lowest low from 07:00 till 09:29, once one side is broken at/after 9:30 it indicates with the line style change, starts drawing the dealing range, once we create fvgs or ifvgs to the opposing direction it annotates them
HTF Power of Three+ Limitless by Supreme
HTF Power of Three+ Limitless by Supreme
This indicator provides a high fidelity lens into the market's fundamental fractal rhythm.
For the professional trader who understands every candle is a story of accumulation manipulation and distribution this tool transcends the limitations of linear time analysis.
It offers an institutional grade panoramic dashboard of the Power of Three archetype operating seamlessly across any timeframe without constraint.
The core limitation of standard chart analysis is the boundary between timeframes.
This tool dissolves these walls presenting a fluid four dimensional view of market dynamics directly on your chart.
It transforms your perception by offering a continuous unbroken context of the higher timeframe narrative that governs all lower timeframe price action.
This is not merely another visualization tool.
It is a complete solution to the problem of temporal dissonance that plagues most traders.
The standard chart presents a flat fragmented reality.
You are forced to switch between timeframes losing your place and breaking your cognitive flow.
This constant friction degrades the quality of analysis and leads to missed opportunities or flawed execution.
The market is a fractal an infinitely repeating pattern across all scales of time.
Lower timeframe price movements are not random events.
They are the direct consequence of the objectives being pursued on higher timeframes.
To trade without this higher timeframe context is to navigate a storm without a compass guided only by the immediate chaotic waves.
This indicator provides that compass.
The Power of Three is the narrative structure embedded within every candle.
This concept posits that smart money engineers price through a deliberate three phase process.
First is the accumulation phase.
This is a period of relative equilibrium typically around the opening price where large institutions quietly build their positions.
It is the balance before the imbalance the coiling of a spring.
Second is the manipulation phase.
This is the critical judas swing or stop hunt designed to engineer liquidity.
Price is intentionally driven against the true intended direction to trip stop loss orders from breakout traders and induce uninformed participants to take the wrong side of the market.
Their selling becomes the liquidity for institutions to buy at better prices and vice versa.
Third is the distribution phase.
This is the true expansion move where price travels rapidly in the direction of institutional intent.
This is the clean efficient price leg that most trend following systems attempt to capture often after the most advantageous entry point has passed.
Understanding this three part structure is the key to aligning your trades with smart money flow.
This tool makes that entire process visible.
The current live higher timeframe candle is projected onto your chart as it forms.
This is not a static snapshot but a living representation of the ongoing campaign.
Every tick on your lower timeframe chart now has context.
You can see precisely if price is in the initial accumulation phase giving you time to prepare.
You can identify the manipulation phase as it happens allowing you to avoid being trapped or to position yourself for the reversal.
You can confirm the beginning of the distribution phase providing the confidence to engage with the true market move.
The indicator also displays the three previously completed higher timeframe candles.
This is not just historical data.
It is the immediate narrative context.
These three candles reveal the established order flow and the key price levels that matter.
The highs and lows of these candles are not arbitrary points.
They are institutional reference points magnets for liquidity and critical levels for targeting or invalidation.
A manipulation move will often seek the high or low of the previous candle before reversing.
The expansion move will often target the liquidity resting beyond a high or low from two candles prior.
This four candle panoramic view allows for sophisticated narrative construction.
You can build a high probability thesis for the trading session based on the interrelationship of these candles.
For example after a series of strong bullish higher timeframe closes a brief manipulative dip below the prior candle's open becomes a very high probability long entry.
Conversely a failure to expand above the previous candle's high after a strong run may signal exhaustion and an impending reversal.
The tool's architecture is built on a state of the art non redrawing framework.
All visual elements are created once and only their parameters are updated.
This eliminates redraw lag entirely ensuring a fluid instantaneous and seamless experience.
Your analytical environment will remain sharp responsive and completely unburdened even during extreme market volatility.
The engine is unbound by time.
Its logic is perfectly fractal.
A scalper on a one minute chart using a fifteen minute context gains the same clarity and follows the same principles as a swing trader on a daily chart using a weekly context.
The pattern is universal.
This tool makes its application universally accessible.
This is for the trader who is no longer satisfied with looking at the market through a keyhole.
It is for the analyst who demands a complete limitless and flawlessly performing view of the price delivery process.
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By installing this indicator you move from a fragmented view of price to a holistic four dimensional understanding of the market.
You achieve temporal coherence seeing the cause on the higher timeframe and the effect on the lower timeframe as a single unified process.
You begin to operate without the constraints of conventional charting.
BTCUSD Weekly Sell Signal – Visual Trade SetupThis indicator highlights a long-term SELL signal on BTCUSD (Bitcoin vs US Dollar) based on weekly chart structure.
Levels included:
— Entry: 11080
— Stop Loss: 11160
— Take Profits: 11040, 11000, 10960
A visual aid for swing traders to monitor bearish momentum on higher timeframes.
🟢 For educational use only.
❗ Always combine with your personal analysis and manage risk responsibly.
P/B Ratio (Per Share) vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Book (P/B) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/B ratio drops below the lower Bollinger Band, which is calculated directly from the P/B ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
P/E Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Earnings (P/E) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/E ratio drops below the lower Bollinger Band, which is calculated directly from the P/E ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
P/S Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Sales (P/S) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/S ratio drops below the lower Bollinger Band, which is calculated directly from the P/S ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by @haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
Liquidity Pulse Revealer (LPR) — by Qabas_algoLiquidity Pulse Revealer (LPR) — by Qabas_algo
The Liquidity Pulse Revealer (LPR) is a technical framework designed to uncover hidden phases of institutional activity by combining volatility (ATR Z-Score) and liquidity (Volume Z-Score) into a dual-condition detection model. Instead of relying on price action alone, LPR measures how volatility and traded volume behave relative to their historical distributions, revealing when the market is either “compressed” or “expanding with force.”
⸻
🔹 Core Mechanics
1. ATR Z-Score (Volatility Normalization)
• LPR calculates the Average True Range (ATR) on a higher timeframe (HTF).
• It applies a Z-Score transformation across a configurable lookback period to determine if volatility is statistically compressed (below mean) or expanded (above mean).
2. Volume Z-Score (Liquidity Normalization)
• Simultaneously, traded volume is normalized using the same Z-Score method.
• Elevated Volume Z-Scores signal the presence of institutional activity (accumulation/distribution or aggressive breakout participation).
3. Dual Conditions → Regimes
• 🧊 Iceberg Volume = Low ATR Z-Score + High Volume Z-Score.
→ Indicates a “hidden liquidity build-up” phase where price compresses but big players are positioning.
• ⚡ Revealed Momentum = High ATR Z-Score + High Volume Z-Score.
→ Marks explosive volatility phases where institutional activity is fully expressed in directional moves.
⸻
🔹 Visualization
• Iceberg Zones (blue shaded boxes):
Drawn automatically around periods of statistical compression + elevated volume. These zones act as launchpads; once broken, they often precede strong directional expansions.
• Revealed Zones (green shaded boxes):
Highlight expansionary phases with both volatility and volume spiking. They often align with trend acceleration or terminal exhaustion zones.
• Midline Tracking:
Each zone maintains a dynamic average (mid-price), updated as the session evolves, providing reference for breakout confirmation and invalidation levels.
⸻
🔹 Practical Use Cases
• Accumulation/Distribution Detection:
Spot where “smart money” is quietly building or unloading positions before large moves.
• Breakout Confirmation:
A breakout occurring after an Iceberg zone carries higher conviction than random volatility.
• Profit Management:
If a Revealed Momentum zone appears after a strong uptrend, it often signals distribution or exhaustion — useful for partial profit taking.
• Multi-Timeframe Adaptability:
With Auto, Multiplier, and Manual higher-timeframe modes, LPR adapts seamlessly to intraday scalping or swing trading contexts.
⸻
🔹 Alerts
• Instant alerts for the start of new Iceberg or Revealed zones.
• Optional alerts for breakouts above/below the last Iceberg zone boundaries.
⸻
🔹 Example Trading Scenario
1. Detection: An 🧊 Iceberg Volume zone forms around support (low volatility + high volume).
2. Trigger: Price closes above the upper boundary of this Iceberg zone.
3. Entry: Go long on the breakout.
4. Stop Loss: Place stop just below the Iceberg zone’s low (where the liquidity build-up started).
5. Target: Hold until a ⚡ Revealed Momentum zone forms — then start scaling out as the expansion matures.
This simple framework transforms hidden institutional behavior into actionable trade setups with clear risk management.
⸻
⚠️ Disclaimer: The LPR is a research and educational tool. It does not provide financial advice. Always apply proper risk management and use in combination with your own trading framework.
Trend Strength Confidence Gauge LiteMost traders don’t fail from bad charts — they fail from bad timing. Jumping in too early, bailing too soon, or freezing when the move finally comes.
The Trend Strength Confidence Meter strips away the noise and highlights the three factors that matter most:
Trend → The confirmed direction of the market
Confidence → Concise tool clarity providing quick entries
Strength → Strength Score shows the underlying battle between buyers and sellers
How to Use It:
Watch the Moving Average Ribbon (Hull MA) for a flip: green = uptrend, red = downtrend.
Act only when ribbon color matches the Confidence thumbs-up.
Confirm with Strength 3+ before entry.
When trend, confidence, and strength align, you reduce risk and step in at tighter entry points — giving clarity for entries and conviction to hold through stronger moves.
Advanced Indicators Made Simple — Provided by The AI Trading Desk
BayesCore AI Golden BarsTrade what matters. See trend + timing at a glance.
Golden Bars turns raw price action into an ultra-clear visual playbook. It paints bars gold exactly when a high-quality buy/sell context is present, overlays 8/20/200 SMAs for structure, and marks prior swing levels so you can read momentum, pullbacks, and breaks without second-guessing.
Why traders love it
Immediate clarity: Gold bars highlight actionable moments. No more “is this a pullback or a trap?” hesitation.
Trend + timing in one view: The 8/20/200 SMAs anchor bias; the bar logic times entries.
Price-action first: Wicks through the 8, context filters, prior tops/bottoms, and “elephant bars” (large, decisive candles) keep it practical.
Calm, rules-based decisions: Color + lines reduce noise and overtrading—so you trade fewer, better setups.
How to use (quick start)
Bias with SMAs:
Only Buy when SMA(8) > SMA(20) (green watermark on chart).
Only Sell when SMA(8) < SMA(20) (red watermark).
No Action when flat/sideways (gray watermark).
Wait for a Golden Bar:
A bar turns gold when price behavior matches strong buy/sell conditions (context + bar rules, including wick tests of the 8 and decisive “elephant” expansion).
Entry idea:
Long: first golden bar in buy context (8>20). Conservative users wait for a small continuation beyond its high.
Short: first golden bar in sell context (8<20). Conservative users wait for continuation below its low.
Protect & manage:
Place stops beyond the recent swing (white lines for the latest confirmed pivot, yellow/cyan lines for prior swings) or beyond SMA(20).
Trail with SMA(8) or last swing.
Reduce risk if watermark shifts to No Action.
Take profits:
Partial at prior swing lines or at SMA(200) (major dynamic S/R).
What the colors & lines mean
Gold bar: Actionable buy/sell behavior detected under the current trend context.
SMAs:
8 (lime): immediate momentum / trailing guide
20 (blue): pullback mean / structural line in trend
200 (red): regime boundary / bigger S/R
Swing lines:
White: most recent confirmed top/bottom (+/– 3 ticks offset)
Yellow/Cyan: previous swing levels for break/target logic
“Elephant” diamonds: bars with strong range/body structure—decisive interest.
Settings that matter (and why)
SMA lengths (8/20/200): Default is classic trend + pullback structure. Short-term traders can try (5/13/200); swing traders often like (10/30/200).
Elephant sensitivity (ATR/body/wicks): Higher thresholds = fewer but stronger momentum bars.
Pivot lookback: Controls how fast swing lines update—smaller values react quicker; larger values reduce noise.
Trading tips
Stack factors: Golden bar + 8/20 trend + clear swing break beats a single signal.
Respect “No Action”: Sideways regimes are drawdown traps; treat the watermark as a brake pedal.
One market, one plan: Forward-test parameters on your symbol/timeframe; don’t curve-fit daily.
Risk first: Fixed fractional risk per trade and consistent stop logic matter more than any entry.
Why “basic” tools win here
This indicator intentionally leans on simple, proven primitives—moving averages and price-action behaviors—because they’re:
Robust: Fewer moving parts, fewer failure modes.
Interpretable: You see why a bar is golden; trust builds, execution improves.
Portable: Work the same across assets/timeframes with light calibration.
The “AI” in BayesCore is a design philosophy: filter signals by context like a Bayesian would (only act when evidence aligns with your prior—trend), surface high-information bars (elephants, wick tests), and continuously update with new price evidence. It’s practical intelligence—not black-box magic.
Why it’s worth it
Cleaner chart, clearer plan: Colors and lines that teach your eyes what matters.
Fewer forced trades: The watermark + context filter keep you patient.
Process you can repeat: Rules you can explain, backtest, and execute—day after day.
Advanced Swing Trading Suite(Mastersinnifty)🔹 Core Logic
The Advanced Swing Trading Suite is a complete framework for analyzing and trading market swings.
It combines:
A modified QQE momentum engine (adapted from the original QQE by © Peter_O under MPL 2.0).
RSI-based trend strength filter for validation.
Zigzag-driven swing structure detection (higher highs, higher lows, lower highs, lower lows).
Dynamic trade and risk management modules for practical execution.
By merging momentum, structure, and risk control, this tool goes beyond standalone indicators and provides a structured decision-support system for swing traders.
🔹 Uniqueness
While the QQE concept is freely available, this script builds an integrated swing trading ecosystem that adds multiple layers of functionality:
Swing structure analyzer that maps price action into HH, HL, LH, LL patterns in real time.
Dynamic percentage-based trade table that automatically logs entries, exits, P&L %, and timestamps.
Lot size calculator that converts account capital into position size per trade.
Swing extensions and retracement projections for planning targets.
Momentum confirmation via a tuned QQE + RSI engine.
This makes it not just an indicator, but a complete swing trading suite.
🔹 Key Features
✔ Modified QQE + RSI Momentum Filter → Early trend confirmation.
✔ Real-Time Swing Structure Labels (HH, HL, LH, LL) → Clear market context.
✔ Trade Performance Table → Tracks signals with percentage P&L and timing.
✔ Lot Size Calculator → Position sizing based on account capital.
✔ Dynamic Stops & Targets → Swing highs/lows as stops, extensions for projections.
✔ Alerts Ready → Configurable buy/sell alerts.
✔ Visual Labels → Background highlighting and trade markers.
🔹 How to Use
Entries: Green background = Long entry, Red background = Short entry.
Structure: HH/HL/LH/LL labels mark evolving swing structure.
Trade Table: Displays performance stats of past signals.
Risk Control: Use lot size calculator for instant position sizing.
Targets: Refer to swing extensions for profit zones.
Alerts: Set alerts for buy/sell triggers to receive notifications.
🔹 Disclaimer
This script integrates a modified version of QQE by © Peter_O (MPL 2.0 License).
Original QQE source: mozilla.org
All additional modules (swing analyzer, trade table, lot calculator, extensions) are original contributions by Mastersinnifty.
⚠️ Trading Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own research, test thoroughly, and trade with proper risk management.
Bullish 1st Breakaway FVG Stop Loss
This indicator provides a defined 3-tier stop loss placement when you want to trade the 1st Bullish Breakaway FVG strategy. The Bullish Breakaway Dual Session FVG indicator is an independent indicator that track all bullish breakaway candles, however this one only tracks the very 1st breakaway candle with a stop loss visual cue.
Introduction of Bullish Breakaway Consolidated FVG:
Inspired by the FVG Concept:
This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00).
Bullish consolidated FVG & Bullish breakaway candle
Begins when a new intraday low is printed. After that, the indicator searches for the 1st bullish breakaway candle, which must have its low above the high of the intraday low candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low).
Session Reset: Occurs at session close.
Choose your own session: use 930 to 1615 for RTH, 1800 to 1615 for ETH. (New York Time Zone)
Repaint Behavior:
If a new intraday (or intra-session) low forms, earlier breakaway patterns are wiped, and the system restarts from the new low.
Product Optimization:
This indicator is designed for CME future product with New York time zone. If you want to trade other products, please adjust your own time session.
Entry:
Long after the 1st Bullish Breakaway Candle in your active session.
However, best position of long is executed by your own trading skill and edge.
Stop Loss: ξ
ξ: This is the 1st stop loss, it is 1 equal size of the breakaway candle below the low.
ξξ: This is the 2nd stop loss, it is 2 equal sizes of the breakaway candle below the low.
L: This is the 3rd stop loss, it is the intraday session low.
Stop loss calculation:
Assuming you enter at the high of the breakaway candle, the SL number is shown as the high minus the stop loss placement.
Last Mention:
If you don't see anything in the indicator, adjust your session to an active session only, and use Tradingview replay function. This indicator is a live indicator with repainting mechanism.
🐋 Whale CareWhale Care 🐋
Indicator for detecting short signals based on the activity of large players ("whales"). Specifically designed for 5 to 15-minute timeframes.
Key Features
🎯 Clear visual signals - orange labels on the chart
📊 Signal strength histogram - measures the power of each signal
⚡ Instant alerts - notifications about large player activity
🏦 Dual filter - analyzes both banking and speculative capital
Optimal Usage
Timeframes: 5M, 10M, 15M
Markets: Stocks, forex, cryptocurrencies
Strategy: Short positions on signal appearance
Signal System
Entry: Orange "WHALE CARE" labels at price peaks
Confirmation: High histogram columns
Filter: Increased market volatility
Default Settings
Optimized for short-term trading:
Banker RSI: period 50
Hot Money: period 40
Volatility threshold: 4.0
Trader Advantages
Fast detection of large orders
Minimal signal delay
Simple visual interpretation
Customizable for individual trading style
A tool for trading decisions, not investment advice
