G.O.A.T. Scalper Diagnostics v1OVERVIEW:
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover unorthodox indicator patterns, reading price charts in unusual ways, thus gaining an edge over the majority of market participants they trade against.
CONCEPTS:
Th G.O.A.T. Scalper Diagnostics is a system that aims to satisfy the fundamental condition for successful online trading - providing an edge.
It's a battle between advantages. To take other people's money, successful traders must have an advantage over everybody else. To hope for consistent success in trading, you need to do things differently and see what almost nobody else sees. Of course then you must act on it, and that's where the G.O.A.T. Scalper Diagnostic's mandate ends.
I believe the vast majority of indicators out there show you what everybody else sees. I've always been an indicator guy, I respect and cherish most indicators and I know a good indicator when I see it.
However, although most indicators are great works of art, their practicality is in most cases doubtful. Presenting great information is one thing, but providing an edge over the people you trade against is something different.
What Everybody Else Sees
The G.O.A.T. Scalper Diagnostics is based on indicators most of you have probably heard of and used:
Moving Averages (particularly the Kaufman Moving Average, among others)
ADX and DI
Bollinger Bands
Stochastic (particularly the Stochastic RSI)
Most traders should be well familiar with these classic indicators, they've provided the basis for online indicator trading for decades. But it's also true that due to how popular online trading has become all over the world, one is more and more unable to use these indicators successfully on lower timeframes.
Usually, more noteworthy success is achieved by going up in scale and discovering the timeframe where a particular indicator produces no false signals. Often times these timeframes range from bi-weekly to multi-month scale. In other words, consistently successful low timeframe trading and scalp trading in particular are now almost impossible using indicators.
Traders that dominate the scalping arena are big professional/institutional groups of traders, who have systematic access to the order books of most exchanges. This can be achieved one way or another, but not by individuals, small groups without significant capital or simply traders who lack political/social power and influence in the trading field.
In other words - giant order book traders have an edge over everybody else, who use indicators to trade on lower timeframes.
Through a series of interventions into these classical indicators, the G.O.A.T. System brings them back into the lower timeframe competitive game. Most original formulas are preserved, but these immortal classics are applied in ways popular TA would consider unorthodox.
Ingenious Indicators Built by Creators
The G.O.A.T. Scalper Diagnostics relies on the fundamental work of others. The System is developed on the basis of:
Quadratic Kernel Regression - it uses the publicly published library of Justin Dehorty: www.tradingview.com
PMARP - Price Moving Average Ratio & Percentile, publicly published by "The_Caretaker": www.tradingview.com
These Creators deserve full credit for their fundamental work and are endorsed by the G.O.A.T. Scalper Diagnostics project.
And yet... ingenious and inspired as these tools are, in my humble opinion the general public is presented with a rather unproductive way to apply them. In my own view, these wonderful tools built by JDehorty and The_Caretaker have a massive potential should they be applied and wielded in a different direction. So I tried to bring my vision about them into flesh with the G.O.A.T. Diagnostics.
What the G.O.A.T. Scalper Diagnostics Is and How to Use It
It's a System for new pattern discovery, bringing the disciplines of pattern and indicator trading together.
By using it as a stand-alone, or mixing it with other great indicators, one is able to discover new indicator patterns. Patterns can be compared, matched together and categorized. By applying statistics to differentiated historical pattern groups, we're able to derive their meaning.
Thus, the trader is able to research their own "alphabet" to read the price charts. After categorizing and differentiating pattern groups with statistically predominant meaning, the trader is then able to read into longer scenarios - price set-ups that are harder to detect due to them being stretched in time or misshapen according to the particular situation.
The G.O.A.T. Scalper leverages and encourages group trading, as different traders will probably discover different price "alphabets" for themselves, potentially giving rise to a social economy of sharing and combining "trading languages" based on indicator patterns people have discovered via the G.O.A.T. Diagnostics.
Support/Resistance Trading
The G.O.A.T. Scalper has its own way of deriving Support/Resistance.
Unlike most existing S/R indicators, The Scalper derives Support/Resistance not by measuring price highs, lows and closes, but solely by using momentum and trend strength.
This seems like a much more versatile way to plot S/R during scalping on low timeframes where time is of essence and the trader's view is too narrow to have macro S/R levels in constant consideration.
The Scalper's way to derive S/R in real time and on the go, while staying very relative to important higher timeframe S/R zones, makes it much more desirable than any other S/R indicator I've thus far encountered.
All S/R functionality is derived from the classical ADX and DI indicator. To do this, I use the ADX and DI in an unpopular way. To generate the actual plot of S/R levels I also modify the indicator's code, not by removing functional parts from it, but adding more to it in order to filter the signals it produces.
I can metaphorically describe its action in the following way:
Imagine you're Price action itself;
You're walking through a labyrinth or corridors. You're walking through one straight corridor, and it has a crossing with another corridor ahead;
Very strong wind is blowing along that other corridor. You can't see the wind, but when you reach it and try to move past it, the force of the wind resists your moving ahead and instead pushes you sideways.
At this point, the G.O.A.T. Diagnostics already knows this can only be one thing - resistance.
Orthodox TA and trading demand retests. In my opinion, this deeply rooted tradition wastes time proving the obvious, then wastes time again double-proving the validity of recent past, while scalping opportunities go to waste. Modern successful traders are way ahead of the popular strategy of testing and retesting S/R that almost every trader uses. So-called "Stops hunting" is just one expression of this situation, where wide adoption of the S/R retesting strategy actually lures unsuccessful traders into the schemes of the successful few.
In my own way of trading, I use the G.O.A.T. Diagnostics to take action on Support/Resistance as it's plotted in real time.
But probably my biggest heresy into the DI is my opinion, that the crossings of the +DI and -DI are useless and should actually be discarded.
My research shows that the DIs often show indications of being "oversold", but don't seem to exhibit an "overbought" state. Statistically, I've had much more success basing my TA on that, rather than cross-ups and cross-downs of the DI plot lines.
Therefore I discarded these crossings by presenting the DI part of the ADX and DI as a Heatmap channel rather than crossing lines.
To further enhance the ability of the System to provide S/R analysis, I plot this Heatmap onto an adjustable price offset plots (a percentage above and below current price).
In modern times, the vast majority of trading is done by automatic machines and algorithms. To give a specific example, one can easily notice, that a 5% offset of the BTC 1h price plot leads to remarkably accurate S/R charting. Following the rule to chart a S/R line connecting highs and lows on the 5% price offset often successfully "foresees" valid S/R zones before price ever visits them. Or, the levels were visited so far back in the timeframe's history that orthodox understanding considers them "invalidated" or washed away in the noise of the relevant volume profile.
My explanation for this is simple - I think Grid bots now dominate automatic trading across the majority of exchanges.
In my understanding, by adjusting the percentage offset of current price action I can often discover relevant conglomerations of dominating Grid bot cell parameters and anticipate price reaction. By plotting the DI heatmap on these price action offsets I can use the indicator for my trading decisions.
Heatmaps
Every heatmap produces different series of data. They're not the same.
Bollinger Band heatmap depicts the percentile distance between the Band's extremes.
The price candles heatmap, and the KAMA moving average heatmap, depict the percentile distance between price and the KAMA. So, it's the same thing. However, the percentile of that distance is calculated in two different ways, hence the difference in color in every particular moment. This color discrepancy aims to visualize the "strain" between price action and KAMA, like a soft and hard "springs" that go in unison with each other in sustainable moves, and in dissonance with each other during unsustainable moves.
Price offset heatmap depicts the percentile average of the +DI (above price) and the -DI (below price). A Hot temperature above price and a Cold temperature below price would mean a strong bullish sentiment, and vise versa, while Green would mean neutrality in sentiment.
There are important interplays between different heatmaps. For example, although representing totally different things, a Teal price bar would almost always (according to historical statistics) foreshadow a change in DI's heatmap sentiment. That's just one avenue of correlation between S/R analysis and sentiment analysis using the G.O.A.T. Diagnostics.
Oscillator Chart
In terms of applying Quadratic Kernel Regression, I endorse the natural principle that no center can exist without a periphery, and no periphery can exist without a center. Therefore I try to pay attention not only to the average of the regression's values, but also to the cloud of data points itself.
Following this understanding, I attempt to depict the natural cycles of price converging/diverging towards/from its regression average. To do this, I apply the classic Stochastic formula.
Thus, the Oscillator part of the System depicts the following:
Thin heatmap line displays the cycles of price converging with its quadratic kernel regression average (moving down), and diverging with its regression average (moving up). Its heatmap depicts the percentile of this oscillation.
The wider heatmap line displays the KAMA's cycles of convergence/divergence with its own quadratic kernel regression average. The reason for this is again creating discrepancy - while KAMA is based on price action, its regression data values differ from those of price action's regression. This discrepancy produces useful historic patterns that can be studied statistically.
The thin and wide purple oscillator lines depict the change of slope of price action regression average and KAMA regression average, respectively. Very often change of slope is not detectable with the naked eye, but clearly indicated by the oscillators.
By combining all these elements into a single analysis, a trader can detect hidden trends that are yet to become visible for the rest of market participants.
For example, convergence of price with its quadratic kernel regression average while the slope of the average deteriorates down in most cases (according to statistics) means a sideways consolidation in a downtrend before downtrend continuation. Conversely, deviation of price action from its regression average while the regression average slope deteriorates down usually marks the very beginning of a downtrend.
Bollinger Bands
Bollinger Bands are not modified, but are based on quadratic kernel regression values. Thus, if Bollinger Bands themselves are indicative of volatility, then based on kernel regression values, they should indicate the volatility of change of values in the regression's window.
Again, applying it to both the price and KAMA regression data series, a discrepancy is highlighted that leads to useful historical patterns subject to analysis and categorization.
SOME EXAMPLES
Support / Resistance
Support/Resistance levels are market by White Triangles with dotted lines plotted from them, in real time. The indicator plots Ghost Triangles in anticipation of Support/Resistance, preparing the trader for the eventual confirmation of a zone of interest and signaling price is feeling Support or Resistance pressure.
Dialing the length of the S/R lines to 25 makes the indicator more useful.
Dialing the setting to 500 clearly shows macro S/R zones by conglomerating and bundling individual lines. The thicker the bundling and the confluence of lines, the more significant the zone.
Thus lower timeframe scalping and trading is made more easy, without the need to do nearly as much manual S/R charting. Support/Resistance analysis and plotting is entirely based on a modified ADX.
Heatmap
Sustainable moves are generally marked by Green price color and calm KAMA colors.
Unsustainable moves are usually marked by more extreme colors of price bars and KAMA. Red usually means price is unsustainably distanced from the KAMA, while deep Blue usually means price is undesirably close to the KAMA, foreshadowing a directional distancing.
Usually Teal color of price bars and KAMA foreshadow a change of sentiment of the outside Heatmap sentiment channel.
Red color of the outside channel always signals the direction of the desired sentimental movement, while Blue signals the extent at which the counter-element suffers. Thus, one side being Green, while the other is Blue, often means the Blue will soon evolve into a warmer color, attracting price in that direction. Outside Heatmap channel is entirely based on a modified DI.
Oscillator Chart
An example of Chart Diagnosis using the Oscillator and other elements of the G.O.A.T. Scalper:
First (far left), a Resistance is plotted. This coincides with price bars being Red (distressed state). The thin colorful Oscillator line takes an Up-turn, signifying a period of price moving away from its Quadratic Kernel Regression (pink moving average).
After Price cools down to Green sustainable colors, a Support is plotted. During this time, the thin colorful line is falling down, signifying a period when the distance between price action and its quadratic kernel regression average is decreasing.
During this phase, the thin purple Oscillator line goes up. This signifies the slope of the price regression is restoring to the upside.
Next, the thin colorful line starts going up again, signifying another period of price getting further away from its regression average. This time to the upside.
Resistance is being broken and new support is established. At this point, the thin colorful line starts falling again, signifying distance between price and its regression MA is shortening. This is clearly visible as a sideways consolidation (with a slight tilt up of slope).
A moment comes when all lines - the price and KAMA lines, and price and KAMA regression slopes, all point down. A new down period is clearly starting. This is further indicated by Teal price bars and new Resistance forming. Notice how the external heatmap channel goes into more balanced Green colors with trend enthusiasm calming down.
This analysis may appear to be overwhelming and confusing at first, as these metrics are unorthodox and unpopular. But different aspects of the indicator can be toggled ON/OFF to single them out, which makes observations much simpler for new users. After some time spent discovering personal patterns, or reviewing other users' catalogues with already published pattern libraries, it soon becomes easy to read charts in this new way.
Bollinger Bands
Bollinger Bands provide another way to produce patterns that give users specific chart information.
One noteworthy indication is when the price and KAMA Bollinger Bands separate their value zones. Since the zones of these Bands are based on the kernel regression values of the respective sources, their separation is significant and too often means violent reversals or violent continuations (which usually can be judged using the other metrics the System provides, or additional indicators of choice).
Another noteworthy Bollinger Band pattern is when price action leaves a prolonged trending move.
First phase of the end of a prolonged trending move is the BB zones expanding and doing a significant overlap.
Second stage is price getting reaccepted in the Price BB. This however doesn't mean reacceptance in the KAMA BB and if the moment isn't right, usually leads to bounces and continuations.
The KAMA needs to "make space" for price to get reaccepted into the KAMA BB. While the KAMA is outside its BB or very near to its wall, price reacceptance into it is not very probable. When KAMA withdraws from its BB wall, opening an "entrance on its membrane", that's when price is eligible to get reaccepted into the KAMA BB. That's usually the moment the long awaited consolidation starts and a long trending move is over.
Users of the G.O.A.T. Scalper Diagnostics can discover many more patterns and correlations between patterns within the System. But the System itself can multiply all possible patterns when inspected in the context of additional indicators, leading to vast possibilities of signal and pattern discovery with huge potential.
A very good idea would probably be to use the G.O.A.T. Diagnostics together with the Ichimoku.
Ichimoku has always been famous for its genius simplicity and elegant profoundness, but notorious for its total lack of accuracy, as well as general uselessness on lower timeframes. The G.O.A.T. System has the potential to enhance all of Ichimoku's strengths and cure its weaknesses.
Yet another good idea may be to pair it with kindred indicators, like the Gaussian Channel, which has a stunning performance, but suffers from too high level of generalization. The Diagnostics can provide the intricate texture of price manoeuvres the Gaussian Channel fails to register, while the GC can give the Scalper even more solid context for its patterns.
The worthwhile possibilities seem endless...
Entry Table
I've added a little Entry Table at the bottom right corner. It's designed to potentially help scalpers trade faster, and to visualize a potential trade they're thinking about before they execute it. A Stop Loss is visually plotted in real time to better visualize it's placement in the chart context.
It encourages responsible risk management in its settings:
The user enters the amount of their trading portfolio;
Then specify the percentage of their portfolio they're willing to risk at every trade;
After that the user can chose to specify a flat percentage Stop Loss.
The table will calculate the size of the entry of a market order, so the user only risks the specified percentage of their portfolio should the specified Stop Loss level is hit.
There's also the option to use automatically suggested Stop Loss, based on recent volatility. The actual Stop Loss is calculated 20% away from the actual volatility level, to better protect from unforeseen wicks.
In the current example, the user with a $1000 trading portfolio has to do a $1000 entry to lose 1% of their portfolio ($10) at a 1% Stop Loss.
But the user has to do a $2,525 entry in order to lose 1% of their portfolio (%10) at a much closer Stop Loss which is less than 1%, based on recent volatility.
The Entry Table should be considered as a cosmetic convenience and not a dedicated risk management tool.
CONCLUSION:
The G.O.A.T. Scalper Diagnostics is an indicator System, based on popular, but modified and tweaked versions of indicators like the ADX and DI, Stochastic, Bollinger Bands and MAs. It also leverages the remarkable work of inspired creators: JDehorty's Quadratic Kernel Regression library, and The_Caretaker's PMARP .
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover so-called new "indicator-pattern alphabets", reading price charts in new and unorthodox ways, thus gaining an edge over the majority of market participants they trade against.
The high degree of freedom when discovering new patterns, either within the System itself or correlating its output to external auxiliary indicators, highlights the System's potential for original discoveries leading to highly personalized trading strategies. Exchanging information about personal pattern libraries can potentially also give birth to new private trading communities.
In den Scripts nach "scalp" suchen
MM SCALP TOOLKIT v6MM SCALP TOOLKIT v6 — What This Indicator Actually Does (Explained Clearly)
The MM SCALP TOOLKIT v6 is a true Swiss-army knife for scalpers.
It combines five different tools into one clean panel, removes clutter from your chart, and automates everything that normally slows a trader down.
“MM” = Money Management
“SCALP” = Short-term precision trading
Below is the exact breakdown of what it does and why it’s valuable.
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1. Automatic Risk Calculation (True Money Management)
This is the strongest feature for both beginners and experienced traders.
The problem:
In scalping, decisions must be made in seconds.
There is no time to calculate position size manually:
• Deposit: $1000
• Risk: 1%
• Stop size: X points
→ “How many units should I open?”
The solution:
The dashboard (right side) calculates the position size for you.
You set these once:
• Account balance
• Risk percentage per trade
The indicator measures current volatility (ATR) and tells you:
“Size ≈ 453 units”
The benefit:
You simply open that size, knowing a stop-loss will cost exactly 1% of your account.
This prevents over-leveraging and account blow-ups.
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2. Session Filter (EU / US Only)
What it does:
It highlights active trading hours and dims the chart during low-volume periods.
Gray = dead zone (no trades)
Bright = London or New York session (good volatility)
The benefit:
You avoid low-volume chop and only take signals during real market activity.
The indicator won’t trigger entries outside your chosen sessions.
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3. Liquidity Sweeps / Stop-Hunts (Smart Money Logic)
What it detects:
When price breaks a previous swing high, grabs liquidity, and then snaps back — a classic stop-hunt.
On the chart you’ll see:
“SWEEP”
The benefit:
This pattern often marks where big players accumulate positions using retail stops.
Shorting after a liquidity grab is far safer than guessing tops.
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4. Trend Filter (EMA Fast / Slow)
Two EMAs act as a simple and effective directional filter.
• Fast EMA above slow → LONG ONLY
• Fast EMA below slow → SHORT ONLY
The benefit:
It prevents you from trading against momentum — the #1 reason scalpers lose money.
This is the “don’t be stupid” filter.
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5. Delta Proxy (Aggression Analysis)
The indicator estimates buy vs sell aggression inside each candle (order-flow style).
Why it’s useful:
If price sweeps liquidity upward but Delta is weak or red → buyers are not supporting the move.
This confirms a potential reversal and strengthens SCALP SHORT signals.
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How to use it (step-by-step):
1. Look at the dashboard:
• Trend: DOWN
• Session: ON
• Delta confirms sell pressure
• Stop-hunt detected above recent swing
2. Watch the chart:
When all conditions align, you will see:
SCALP SHORT (red triangle)
3. Check position size:
Dashboard shows:
“Size ≈ 0.52 BTC”
4. Enter the trade:
Your risk is fixed automatically — always consistent, always safe.
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Summary: Why This Indicator Matters
The MM SCALP TOOLKIT v6 forces you to trade systematically, not emotionally:
✔ Only during high-volume sessions
✔ Only in the direction of trend
✔ Only after liquidity events
✔ Only when Delta confirms
✔ Only with correct position sizing
It’s not “signals for entry” —
it’s a complete risk-managed scalping framework in a single tool.
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Gold Scalping Strategy with Precise EntriesThe Gold Scalping Strategy with Precise Entries is designed to take advantage of short-term price movements in the gold market (XAU/USD). This strategy uses a combination of technical indicators and chart patterns to identify precise buy and sell opportunities during times of consolidation and trend continuation.
Key Elements of the Strategy:
Exponential Moving Averages (EMAs):
50 EMA: Used as the shorter-term moving average to detect the recent price trend.
200 EMA: Used as the longer-term moving average to determine the overall market trend.
Trend Identification:
A bullish trend is identified when the 50 EMA is above the 200 EMA.
A bearish trend is identified when the 50 EMA is below the 200 EMA.
Average True Range (ATR):
ATR (14) is used to calculate the market's volatility and to set a dynamic stop loss based on recent price movements. Higher ATR values indicate higher volatility.
ATR helps define a suitable stop-loss distance from the entry point.
Relative Strength Index (RSI):
RSI (14) is used as a momentum oscillator to detect overbought or oversold conditions.
However, in this strategy, the RSI is primarily used as a consolidation filter to look for neutral zones (between 45 and 55), which may indicate a potential breakout or trend continuation after a consolidation phase.
Engulfing Patterns:
Bullish Engulfing: A bullish signal is generated when the current candle fully engulfs the previous bearish candle, indicating potential upward momentum.
Bearish Engulfing: A bearish signal is generated when the current candle fully engulfs the previous bullish candle, signaling potential downward momentum.
Precise Entry Conditions:
Long (Buy):
The 50 EMA is above the 200 EMA (bullish trend).
The RSI is between 45 and 55 (neutral/consolidation zone).
A bullish engulfing pattern occurs.
The price closes above the 50 EMA.
Short (Sell):
The 50 EMA is below the 200 EMA (bearish trend).
The RSI is between 45 and 55 (neutral/consolidation zone).
A bearish engulfing pattern occurs.
The price closes below the 50 EMA.
Take Profit and Stop Loss:
Take Profit: A fixed 20-pip target (where 1 pip = 0.10 movement in gold) is used for each trade.
Stop Loss: The stop-loss is dynamically set based on the ATR, ensuring that it adapts to current market volatility.
Visual Signals:
Buy and sell signals are visually plotted on the chart using green and red labels, indicating precise points of entry.
Advantages of This Strategy:
Trend Alignment: The strategy ensures that trades are taken in the direction of the overall trend, as indicated by the 50 and 200 EMAs.
Volatility Adaptation: The use of ATR allows the stop loss to adapt to the current market conditions, reducing the risk of premature exits in volatile markets.
Precise Entries: The combination of engulfing patterns and the neutral RSI zone provides a high-probability entry signal that captures momentum after consolidation.
Quick Scalping: With a fixed 20-pip profit target, the strategy is designed to capture small price movements quickly, which is ideal for scalping.
This strategy can be applied to lower timeframes (such as 1-minute, 5-minute, or 15-minute charts) for frequent trade opportunities in gold trading, making it suitable for day traders or scalpers. However, proper risk management should always be used due to the inherent volatility of gold.
NQ Scalping System (1-Min Optimized) — StrategyNQ Scalping System — What this does (in plain English)
You’re buying pullbacks in an uptrend and selling pullbacks in a downtrend.
Trend = EMA89. Entries lean on EMA8/EMA21 touches + a StochRSI reset & cross so you’re not chasing candles. Optional Volume and MACD filters keep you out of weak moves. A time window avoids dead markets and the first noisy minute.
Long setup
Price above EMA89 (trend up)
Price pulls back to EMA8 (or EMA21 if fallback is on) by at least your Min Pullback (NQ points)
StochRSI resets to oversold and %K crosses up %D
(Optional) Volume thrust and MACD momentum confirm
Within your session window
Short = mirror image.
Exits you control
Stop/Target: ATR-based (adaptive) or fixed scalp points
Trailing stop: only arms after price moves your way by X points, then trails by your offset
Early exit options: StochRSI fade, EMA break, trend break, or opposite divergence
Quick scalp: grab a few points or bail after X bars if nothing happens
Reality check
This is a rules → orders system. It will not match eyeballed indicator labels. Fills, gaps, and trail behavior are real. That’s the point.
How I’d run it (defaults that won’t waste your time)
Use ATR stops/targets by default
EMA21 fallback = ON (you’ll miss fewer good pullbacks)
MACD filter = ON when choppy; OFF when trends are clean
Volume multiplier: start modest, bump it up if you get chopped
Session: keep RTH (e.g., 09:30–15:45 ET) and skip the first minute
Quick presets for higher timeframes
Use these as starting points and then nudge to taste.
5-Minute (intraday swings)
OB/OS: 80 / 20
Volume Multiplier: 1.3
MACD: 8 / 21 / 5
ATR Stop× / Target×: 1.8–2.2 / 2.5–3.0
Min Pullback: 1.0–1.5 pts
Quick Scalp: 6–10 pts, Bars: 12–20
Trailing: Activation 6–8 pts, Offset 3–4 pts
Divergence: Hidden ON, MTF OFF
15-Minute (session legs)
OB/OS: 85 / 15
Volume Multiplier: 1.4
MACD: 8 / 21 / 5
ATR Stop× / Target×: 2.0–2.5 / 3.0–4.0
Min Pullback: 1.5–2.5 pts
Quick Scalp: 12–18 pts, Bars: 16–30
Trailing: Activation 10–14 pts, Offset 5–6 pts
Divergence: Hidden ON, MTF ON (LTF = 5m)
30-Minute (bigger intraday trends)
OB/OS: 88 / 12
Volume Multiplier: 1.5
MACD: 12 / 26 / 9 (or 8 / 21 / 5 if you want faster)
ATR Stop× / Target×: 2.2–2.8 / 3.5–5.0
Min Pullback: 2.5–4.0 pts
Quick Scalp: 18–28 pts, Bars: 20–40
Trailing: Activation 16–24 pts, Offset 6–8 pts
Divergence: Hidden ON, MTF ON (LTF = 5m or 15m)
1-Hour (multi-hour swings)
OB/OS: 90 / 10
Volume Multiplier: 1.6–1.8
MACD: 12 / 26 / 9
ATR Stop× / Target×: 2.5–3.5 / 4.0–6.0
Min Pullback: 4–7 pts
Quick Scalp: 30–50 pts, Bars: 24–60
Trailing: Activation 28–40 pts, Offset 10–15 pts
Divergence: Hidden ON, MTF ON (LTF = 15m)
Tuning tips (read this)
Getting chopped? Raise Min Pullback, raise Volume Multiplier, leave MACD ON, and narrow your session.
Missing moves? Turn EMA21 fallback ON, lower Volume Multiplier, relax OB/OS (e.g., 75/25 on 5m).
Flat days? Use Quick Scalp and a tighter Trail Activation to lock gains.
BladeSCALPER by MetaSignalsProBladeSCALPER
The sharpest tool to scalp M and W patterns
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✔️ Get a clear signal of the next probable reversal move
✔️ Get instantly the zone where the price will probably get attracted to
✔️ Adjust TP1/TP2/TP3 accordingly to the PowerZONES
✔️ Check the winning rate of the M & W patterns on a time period
✔️ Optimize the probability of success of the M & W patterns
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📌 For who?
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Initialy, scalping is based on small moves, supposedly more predictable than big ones and repeating this operation many times.
For that, scalping means usally daytrading and not everybody can/want to be a daytrader: managing one's emotions is just critical;
But you can also use this indicator on a bigger time frame and trade when you want the M & Ws!
So basicaly BladeSCALPER is for anybody who wants to trade succesfully M&W patterns whatever Timeframe, whatever asset!
📌 For which asset?
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BladeSCALPER is universal and works fine on all assets and all time-frames;
📌Why we made these innovations?
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"Double Tops" and "Double Bottoms", commonely called "M" and "W" as the letter explicitely shows these patterns, are some of the most predictive patterns you can find.
To exploit them, we needed to have an all in one tool:
◾ a very sharp scalping and innovative tool with embed statistics
◾ identify Risk/Reward ratio for TakeProfits
◾ and advanced Supports and Resistances information i.e the PowerZONES
📌 How to trade with BladeSCALPER ?
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🔹 ScalpUP / ScalpDOWN Signals
The signals are given when the patterns of M and W are identified, in real time and do not repaint.
☝️ Quite often the Market will test the bottoms and the tops before validating such a figure;
👉 Only enter the trade when the candle closes clearly inside the coloured zone and not immediately on the signal.
🔹 PowerZONES
We innovated on the basic Supports and Resistances concept by adding new features with:
◾ zones that correspond better to real life trading than lines
◾ zones that change color depending of their position vs price : they turn red is the price is below them and blue if they are above.
◾ strength / attractivity of these zones = how many times the Support/Resistance have been touched in the past that will magnetize the price
◾ and distance between these zones to give a clear picture
Importance of the PowerZONES
In the current version, the TPs do not adjust to the PowerZONES, precisely to be able to keep a global statistical view;
☝️ But when you plan to trade on a signal, the real relevance is to adjust them according to the PowerZONES, of course;
👉 When buying, place your TPs just below the consecutive PowerZONES that the price could test
👉 When selling, place them just above the consecutive PowerZONES
🔹 TP1/TP2/TP3
TakeProfits are set theoretically and based on 3 risk/reward ratios: 1 / 1.5 / 2 ;
But of course this is just a setting to get an overall view of the effectiveness of the pattern on the current asset;
if you change these settings, you'll see that the Stats change accordingly.
☝️ Again, when you plan to trade on a signal, the real relevance is to adjust them according to the PowerZONES, of course;
🔹 StatsPANEL
With this innovative feature you can now see immediately
◾ the probability of win, based on the past patterns
◾ the exacts number of trades that have reached the TP1/TP2/TP3
◾ and more importantly the gains made by these trades in pips
We introduce also 2 important possibilities to improve the precision and relience of BladeSCALPER
◾ the PatternFACTOR can be changed; it defines a key percentage of the M & W patterns
◾ the MoveringAverageFILTER can be activated to
◽ suppress M patterns when the price is below the selected MovingAverage
◽ suppress W patterns when the price is over the selected MovingAverage
👉 Modifying these variables will change immediately the statistics just like the position of the TP1/TP2/TP3 and HistoryMax variables.
📌 Importance of setting up a Multi TimeFrame and doing a trend analysis
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Even if you are on a scalping mode, it is crucial you set up a Multi Time Frame workspace and that you conduct a trend analysis before entering the market.
If you don't, you won't maximize your chances;
No indicator is 100% reliable, because the market cannot be modelized; anyone who tells you otherwise is lying to your face;
However, a statistical approach to the market is possible, because agents are not incoherent.
This is the meaning of stats we apply on double tops and double bottoms;
But to reinforce this point, you need to know what's happening on the next higher time unit to get a global view.
To do this, it's important to do a trend analysis or have a trend analysis tool.
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🎛️ Configuration
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◾ Buy/Sell Signals: choose if you want to see only W or only M pattern signals
◾ PowerZones: uncheck if you don't want to see them (not recommanded)
◾ RewardBoxText: uncheck if you don't want to see the words "Entry, TP1, TP2, TP3"
◾ TakeProfit1/TakeProfit2/TakeProfit3: by default correspond to the multiple of the risk zone in grey under/above "Entry" i.e it is the classic concept of Risk/Reward ratio
◾ PowerZoneTouch: sets the number of time the zone has been touched
◾ PowerZoneDensity: increase this number if you want the number of zones to increase and reversely
◾ RewardBoxLength: adjust the standard number to the length of the anticipated move in duration
◾ StopLossExtraPoints: for a W pattern (ScalpUP) will bring lower the lower border of the RewardBOX; in a M pattern (ScalpDOWN) will bring higher the higher border of the RewardBOX; it will automatically move the distance of the TP1/TP2/TP3
◾ HistoryMax: the number of units taken into account to set the PowerZONES and the past M & W patterns
◾ PatternFactor: defines a key percentage of the M & W patterns
◾ MovingAverageFilter:
◽ untick (by default) : the filter is OFF
◽ ticked : the filter is ON
◾ MovingAveragePeriod: choose the speed of the average
◾ MovingAverageType: choose among all the types of averages available
◾ Applied to: define on which available moment of the Price the average is applied (close, open, highest...)
🛠️ Calculation & Precisions
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🔹 TP1/TP2/TP3
the 3 risk/reward ratios: 1 / 1.5 / 2 are multiples of the height of the grey zone = distance between your StopLoss and the entry line;
🔹 %WIN
Note that the % of success (%WIN) must be entered correctly;
Your risk/reward ratio is key and more important than the % success of the signal; you can have a % success of 30% (%WIN) which creates more points earned than a % success of 60% depending on your risk/reward ratio = the position of your TPs;
🔹 Calculation of points/pips
These are full points and we don't calculate partial outputs.
So if you have a tp1 at 20 and a tp2 at 100, if you get to tp2 you get 100 and not 20+100.
Stoplosses are of course calculated in negative.
🔹 PowerZONES
The originality of our concept is to test how many times a zone has been touched
The more the market has touched this zone the more probable it becomes a strategic zone where the liquidity will accumulate and thus will be chased!
Prophecy Orderflow – US30 ScalperProphecy Orderflow – US30 Scalper is not a general-purpose indicator.
It was engineered specifically for New York session scalping on US30, where volatility demands precision, speed, and discipline.
🔹 Sniper Entries Only – The algorithm combines multi-timeframe bias, dynamic ATR filters, and orderflow-based band triggers to identify high-probability scalps with minimal noise.
🔹 Clean Visual Execution – Automatic plotting of SL and TP1/2/3 levels ensures you can trade with clarity and consistency, without overcomplicating your chart.
🔹 Adaptive to US30 Volatility – Optimized settings account for the unique pace and structure of the Dow Jones index, giving you signals aligned with real scalping conditions.
🔹 Exclusivity by Design – This script is not built for mass retail use. It is tuned for operators and scalpers who treat trading as execution, not experimentation.
⚠️ Disclaimer: This tool is provided for educational purposes only. Past performance does not guarantee future results. Trade responsibly and manage risk.
X-Scalp by LogicatX-Scalp by Logicat — Clean-Range MTF Scalper
Turn noisy intraday action into clear, actionable scalps. X-Scalp builds “Clean Range” zones only when three timeframes agree (default: M30/M15/M5), then waits for a single, high-quality M5 confirmation to print a BUY/SELL label. It’s fast, simple, and ruthlessly focused on precision.
What it does
Clean Range zones: Drawn from the last completed M30 candle only when M30/M15/M5 align (all green or all red).
Size filter (pips): Ignore tiny, low-value ranges with a configurable minimum height (auto-pip detection included).
Extend-until-mitigated: Zones stretch right and “freeze” on first mitigation (close inside or close beyond, your choice). Optional fade when mitigated.
Laser M5 entries (one per box):
Red M5 bar inside a green zone → SELL
Green M5 bar inside a red zone → BUY
Prints once per zone on the closed M5 candle—no spam.
Quality of life: Keep latest N zones, customizable colors, optional H4 reference lines, alert conditions for both zone creation and entries.
Why traders love it
Clarity: Filters chop; you see only aligned zones and one clean trigger.
Speed: Designed for scalpers on FX, XAU/USD, indices, and more.
Control: Tune lookback, pip threshold, mitigation logic, and visuals to fit your playbook.
Tips
Use on liquid sessions for best results.
Combine with your risk model (fixed R, partials at mid/edge, etc.).
Backtest different pip filters per symbol.
Disclaimer: No indicator guarantees profits. Trade responsibly and manage risk.
ITM EMA Scalper (9/15) + Dual Index ConfirmationITM EMA Scalper (9/15) + Dual Index Confirmation is a precision scalping tool designed for traders who want high-probability entries, tight risk, and clean momentum trades using ITM options on NIFTY & BANKNIFTY.
This indicator combines price action, EMA trend filters, momentum candle logic, and a dual-index confirmation system to eliminate fake signals and catch only high-quality moves.
🔥 Core Logic
This indicator uses:
9 EMA & 15 EMA for trend direction
EMA angle filter (≥30°) to ensure strong directional momentum
Momentum candle detection (Pin Bar, Big Body, Rejection Candle)
EMA touch/rejection logic for precision entries
Dual index alignment (NIFTY + BANKNIFTY) for institutional-level confirmation
Trades occur only when both indices agree, dramatically reducing false setups.
🎯 Entry Conditions
A BUY signal appears when:
9 EMA > 15 EMA
Both EMAs have strong upward slope
Momentum candle forms while touching/near EMAs
Candle closes bullish
Confirmation index (e.g., BankNifty) also bullish
A SELL signal is the exact opposite.
🛡 Risk Management Built-In
For every valid setup, the indicator automatically plots:
Entry level (break of candle high/low)
Stop-loss level (low/high of signal candle)
1:2 Risk–Reward Target
These lines extend until target or SL is hit (or are cleared automatically after N bars).
🧠 Why ITM Options?
Using ITM options gives:
Higher delta
Faster momentum capture
Lower time decay impact
Cleaner correlation with spot movement
Perfect for scalping.
📈 Ideal Timeframe
Designed for 5-minute charts
Works for both NIFTY and BANKNIFTY
⚡ Alerts Included
BUY Alert
SELL Alert
These alerts trigger exactly when the strategy identifies a high-probability setup.
🚫 Avoid False Signals
This indicator prevents trades if:
Trend is flat
EMAs lose angle
Opposite index contradicts the setup
Candle lacks momentum
Market is choppy or sideways
💡 Perfect For
Scalpers
Index option traders
ITM directional traders
Algo traders needing clean signal logic
Momentum strategy users
TechniTrendMasterIntroducing "TechniTrendMaster"
The TechniTrendMaster indicator is designed to bring clarity and depth to your trading strategy. This indicator combines robust trend analysis with volume insights, giving you a comprehensive view of the market’s pulse. Let's break down the features.
🔵 Analysis Mode
TechniTrendMaster's Analysis Mode provides various configurations tailored to specific market behaviors. Here are the options you can utilize:
🔹Strong Movements: Focuses on powerful market shifts, ideal for capturing major trend changes and high-momentum moves. Perfect for identifying strong breakout opportunities.
🔹Reversal: Detects potential turning points in the market, signaling when a trend might be about to change direction, allowing for well-timed entries and exits.
🔹Consolidations: Spots periods of low volatility where the market moves sideways, helping you avoid trading traps and anticipate breakout scenarios.
🔹Momentum-Driven: Prioritizes momentum in the market, identifying when the force behind price movement is accelerating or decelerating.
🔹Balanced: Offers a well-rounded view of the market by weighing both trend direction and volume equally, making it suitable for stable market conditions.
🔹Volatility Adapted: Adjusts to periods of increased or decreased volatility, providing accurate signals regardless of market conditions.
🔹Trend Confirmation: Confirms the strength and sustainability of a trend, allowing traders to enter trades with higher confidence.
🔹Short-Term Scalping: Tailored for traders who focus on Short-Term and Scalp trades, offering rapid insights for intraday or short-term trading strategies.
🔵 Trend Analysis Mode
The Trend Analysis Mode allows you to customize how trends are detected and analyzed:
🔹Default: A balanced mode for general use, offering reliable trend identification across different market conditions.
🔹Aggressive: A more sensitive setting that reacts quickly to market changes, ideal for traders looking to capitalize on smaller, quicker movements.
🔹Conservative: Takes a cautious approach, favoring long-term stability over short-term fluctuations, perfect for risk-averse traders.
🔹Volatility Aware: Focuses on adapting to volatility shifts, giving accurate trend signals even in erratic markets.
🔹Range Bound: Targets horizontal price movements and channel trades, helping traders take advantage of well-defined ranges.
🔵 Divergence
Divergence is a powerful tool within TechniTrendMaster, highlighting discrepancies between price movement and underlying volume. These differences can indicate potential reversals or trend continuations before they are visible on price charts alone.
🔵 Hidden Divergence
Hidden divergence is a subtle yet crucial signal that reveals when an existing trend might resume after a temporary correction. This mode provides early detection of trend continuity opportunities, giving traders a significant advantage in timing.
🔵 Divergence Mode
TechniTrendMaster includes different divergence detection settings to suit your analysis style:
🔹Standard: Captures typical divergence patterns for general analysis.
🔹Short-Term Focused: Concentrates on short-lived divergences, offering rapid detection of shifts for active traders.
🔹Long-Term Analysis: Highlights divergence in a broader context, which is better for understanding the overall market direction.
🔹High Sensitivity: Prioritizes capturing even the smallest shifts in the market, making it excellent for high-frequency trading or volatile environments.
🔹Low Sensitivity: Reduces market noise, only reacting to more significant changes in trend or volume. It’s perfect for traders who seek higher accuracy with fewer false signals.
🔵 Dynamic Channel
TechniTrendMaster features a Dynamic Channel, that automatically adapts to market conditions. This channel provides a visual guide to price action, adjusting in real-time based on current trends and volatility. It identifies key support and resistance zones, making it easier to spot breakouts, trend continuations, or potential reversals.
🔵 Volume Integration
Volume is a critical part of TechniTrendMaster, offering deeper insights beyond just price movement. By analyzing volume patterns alongside trends, the indicator highlights the strength and reliability of market shifts. This integration ensures that traders can distinguish between genuine movements backed by solid volume and weak trends that might not hold.
🔵 A Solution for All Trading Styles
TechniTrendMaster’s strength lies in its versatility. No matter your trading approach—be it scalping, swing trading, trend following, or range trading—this indicator adapts to your needs. Here's how it caters to different trader profiles:
🔹Scalpers get precise, quick-response insights through the Short-Term Scalping and High Sensitivity settings, helping them capture minute price movements.
🔹Swing Traders benefit from modes like Reversal, Balanced, and Momentum-Driven, which focus on identifying trends and shifts that occur over several days.
🔹Long-Term Investors will find the Conservative, Low Sensitivity, and Long-Term Analysis modes ideal for filtering noise and sticking to broader market trends.
🔹Volatility Traders can rely on the Volatility Adapted and Volatility Aware options to get accurate signals even during unpredictable periods.
🔓 Unlock Access :
Check out the Author's Instructions or Dm me to Unlock the Access.
Bayesian Order Flow Predictor📌 Bayesian Order Flow Predictor — Advanced Probability Engine for Nasdaq and Futures
This indicator is a next-generation probabilistic forecasting system designed for Nasdaq traders who rely on Order Flow, Auction Market Theory, Value Area dynamics, market structure, DOM imbalance, and Bayesian probability models.
It combines 7 professional-grade factors (DOM, CVD, RSI, EMA trend, ATR volatility, Market Structure, Value Area positioning) into a unified Bayesian probability panel that outputs a clean bullish/bearish probability curve with high-confidence reversal and trend-continuation signals.
Engineered for scalpers, day traders, futures traders, and ICT-style order flow technicians, it delivers real-time directional probability, session-aware signals, and optional news-filter exclusion.
⭐ Features
Bayesian Probability Model (0–100%)
DOM imbalance scoring across dynamic depth levels
Cumulative Volume Delta (CVD) scoring
Market structure detection (HH/LL micro-trend shifts)
RSI momentum and overbought/oversold scoring
EMA directional bias + ATR-normalized deviation
Value Area positioning (VAH / VAL / POC) with optional previous-session mode
Session filtering (only signals during active hours)
Automated news filter (exclude signals around scheduled macro events)
Bull/Bear probability zones with background coloring
Anti-repetition system (no double signals in same direction)
Designed for future scalping, futures order flow, and high-precision timing
🧠 Bayesian Probability Engine — How It Works
The model evaluates 7 independent market factors simultaneously:
DOM imbalance
CVD pressure
Market structure
RSI deviation
EMA trend
Value Area position
ATR volatility shift
Each factor is transformed into a normalized score, multiplied by its weighting parameter, and aggregated into a global score.
This score is then passed through a Bayesian logistic function to convert uncertainty into a smooth probability curve, giving traders a clean, mathematically stable, and noise-resistant forecast.
📈 Buy & Sell Signal Logic
Signals trigger when:
Bullish Probability crosses above the user threshold
Bearish Probability crosses below the opposite threshold
Session is active
No protected news event is occurring
This avoids noise, prevents over-signaling, and focuses only on high-confidence inflection points.
🎯Fully compatible with the indicator: ➡️ AI Probabilistic Orderflow scalper
Both indicators synchronize perfectly when used together:
Bayesian panel → trend probability
Scalper v1 → timing + TP/SL engine
Together they create a complete probability-driven revenue management system for scalping Future.
📘 How to Use
Add the indicator to your chart
Set your trading session (e.g., 09:30–16:00 EST)
Adjust weights depending on your style (Order Flow / Momentum / Value Area)
Watch the probability curve:
Above threshold → bullish bias
Below threshold → bearish bias
Take signals when the curve crosses thresholds, not when flat
Combine with "AI Probabilistic Orderflow scalper" indicator for execution timing
Avoid high-impact news using the News Filter
💎 Advantages
Professional-grade Bayesian model
Works in all volatility regimes
Noise-resistant and smoother than traditional oscillators
Integrates Order Flow + Auction Theory + Momentum + Volatility
Perfect for NQ scalpers seeking an AI-style probability dashboard
Reduces emotional decision-making
Compatible with any execution strategy
Optimized for high winrate scalping and sniper entries
XAUUSD 9-Grid Scalper (9-levels, 3pt TP)📈 Overview
The XAUUSD 9-Grid Scalper is a precision-based intraday strategy designed for gold scalping around key 9-based price zones. Gold (XAUUSD) often reacts strongly to levels that are multiples of 9, and this script builds a dynamic grid of 18 levels around the current price to capture short-term momentum moves.
This strategy uses 9-point take profits (TP) and configurable stop-loss levels, allowing for fast in-and-out scalps within volatile gold sessions. It’s optimized for short-term traders who focus on 1M–5M charts.
⚙️ Core Logic
Dynamic 9-Multiples Grid: Automatically plots 18 nearby levels spaced by multiples of 9.
Entry Signals:
Long when price breaks above a 9-level.
Short when price breaks below a 9-level.
Take Profit: Fixed at 9 points (configurable).
Stop Loss: Adjustable for flexible risk management.
Backtest-Ready: Uses strategy() for full performance analytics (win rate, profit factor, drawdown).
💡 Best Use Cases
Ideal for gold scalpers during London and New York sessions.
Works best on 1M–5M timeframes with high volatility.
Combine with volume or trend filters (e.g., RSI, MA slope) for improved accuracy.
🧠 Customization Options
Number of grid levels (default: 18)
Take profit & stop loss distance (default: 9pt TP)
Display toggle for 9-grid visualization
Optional filters for session time or volatility
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Past performance does not guarantee future results. Always test on demo before trading live.
24/7 Dynamic Scalper - Session + ATR Filters24/7 Dynamic Scalper — Session + ATR Filters
The only scalping strategy you’ll need for non-stop, high-precision trading — engineered for automation and hands-off profits!
Session Filtering: Trade only during the hottest market hours (Asia Open & EU Session) — fully automatic.
ATR Stability & Dynamic Risk: Filters out chop and volatility spikes for cleaner, higher-probability entries.
Momentum & Exhaustion Protection: Built-in RSI & MACD logic blocks overbought/oversold traps and weak signals.
Time-in-Trade Auto-Exit: No more stale trades — get capped exposure for every position.
Auto Alerts: Sends structured, ready-to-automate alerts (BUY/SELL/EXIT) — perfect for webhook and bot traders.
Optional Volume/TP Filters: Toggle volume spikes, dynamic ATR-based TP, and even “big candle” protection.
Fully Customizable: Fine-tune everything from leverage to max stop loss (in USDT), bar/range filters, and much more.
Best for: Fast scalpers, algo traders, automation junkies, and anyone who wants a robust, hands-off approach to perpetual futures.
👇 How it Works (Feature Breakdown):
Session Filters: Restricts signals to the highest liquidity hours (Asia/EU), or trade 24/7 — your choice!
ATR + Range Filters: Ensures every entry has real volatility and avoids dangerous chop.
Momentum Logic: Combines EMA, MACD slope, and RSI direction to hunt for real breakouts only.
Exhaustion Safeguards: Avoids classic scalp reversals by blocking overbought/oversold and exhausted MACD/RSI momentum.
Drawdown Defense: Detects “big candle” traps, ATR surges, and lets you cap stop-loss by percent or by max USDT.
Hands-Off Management: All exits (TP/SL/trailing) are managed by your backend/bot via structured alerts — the script keeps charts clean and exits only by time cap (so no backend/strategy overlap).
Ready for Webhook Automation: Clean JSON alerts for BUY, SELL, and CLOSE — drop them straight into your bot for instant auto-trading.
No repaint, no nonsense — just cold, fast, high-frequency scalping with robust, smart filters.
🚀 Plug, Play, Automate.
Copy to your chart, tweak your session/ATR/settings, and wire up your alert to your favorite webhook bot.
Perfect for Bybit, MEXC, Binance, and anywhere you can automate.
Nifty 1m EMA Pullback Scalper Signals
### **Master the Market with the Sniper Scalping Strategy for Nifty (1-Minute Timeframe)**
Unlock the power of precision trading with this expertly crafted **Sniper Scalping Strategy**, designed specifically for the Nifty index on a lightning-fast 1-minute timeframe. Perfect for traders who thrive on quick decisions and small, consistent profits, this strategy combines multiple indicators to deliver razor-sharp entries and exits—ideal for India’s dynamic market.
#### **Why This Strategy Stands Out**
- **Pinpoint Accuracy**: Harness the synergy of the **5 EMA and 10 EMA crossover** to lock onto the short-term trend, while the **Stochastic Oscillator (14,3,3)** times your entries and exits with surgical precision.
- **Fast and Effective**: Tailored for the 1-minute chart, this strategy capitalizes on Nifty’s volatility, targeting **10-point profits** with a tight **5-point stop-loss**—keeping your risk low and rewards high.
- **Trend + Momentum**: Blend trend-following (EMAs) with momentum signals (Stochastic) for a robust, multi-dimensional approach that cuts through market noise.
#### **How It Works**
- **Buy Signal**: Enter long when the 5 EMA crosses above the 10 EMA and the Stochastic rises above 20—catching the uptrend at its sweet spot.
- **Sell Signal**: Go short when the 5 EMA dips below the 10 EMA and the Stochastic falls below 80—riding the downtrend with confidence.
- **Exit Like a Pro**: Take profits at 10 points or when the Stochastic hits overbought/oversold extremes, ensuring you’re in and out before the market shifts.
#### **Perfect for Nifty Scalpers**
Built for the fast-paced world of Nifty trading, this strategy shines during high-volatility sessions like the market open or global overlaps. Whether you’re a beginner honing your skills or a seasoned trader seeking consistency, the Sniper Scalping Strategy offers a clear, actionable framework to scalp profits with discipline and precision.
#### **Get Started**
Test it in a demo account, refine it to your style, and watch your scalping game soar. Trade smart, stay focused, and let the Sniper Scalping Strategy turn Nifty’s 1-minute moves into your edge!
Higher Timeframe Price Action ScannerThis is a higher timeframe scanner that detects the price action trend on multiple timeframes and displays them all as red or green dots. You’ll be able to see the real time and historical price action trends so you can trade in the same direction of the overall trend on higher timeframes. You can also set it to scan a different ticker if you choose. If you find pairs that correlate very well, you can use two scanners and look at both of them for extra trend confluence.
CALCULATIONS
This scanner uses the same price action formula from our other indicator titled 1 Minute Scalping Indicator which can be found on our profile. It has Scalp Mode and Swing Mode. Both modes use the exact same price action parameters for signals, but Swing Mode will only give signals when the price action parameters are met AND the close is higher than the previous high for bull signals or when the close is lower than the previous low for bear signals.
HOW TO USE
The top line of the scanner shows the price action trend for the current chart timeframe and the rest are using the higher timeframe that you set in the input settings. They start with higher timeframe #1 as the second line from the top and go down from there.
When most or all of the dots are green, you should be looking for long positions and when most or all of the dots are red, you should be looking for short positions.
Since this scanner is using pure price action to identify trends, it’s a reliable way to see what multiple timeframes are doing.
PAIRINGS
Use this with the 1 Minute Scalping Indicator so you can get the signals and candles colored per the price action on your chart as well as see the higher timeframe price action trend from the scanner. Using both together will help you make better trading decisions.
MARKETS
You can use this scanner on any market.
TIMEFRAMES
This scanner will scan the current chart timeframe and display the result on the top line, then the lines below that will display the results from the higher timeframes you choose in the settings. It has timeframes from 1 minute all the way up to 1 year.
RSI Scalping & Swing Signals With AlertsThis RSI indicator shows a green or red ribbon when the smoothed RSI is bullish or bearish. It also includes a long moving average for overall trend confirmation. Wait until the ribbon holds above or below the long moving average and take positions in that direction.
To get an easier to read RSI indicator, I smoothed the RSI out and paired it next to a short term RMA. These two together form the ribbon that will show you early reversals and trend direction. The long moving average is used as an overall trend detector and confirmation for longer term trends.
***HOW TO USE***
Scalping: Enter longs when the ribbon turns green and enter shorts when the ribbon turns red. Exit positions when the ribbon turns the opposite color or crosses the long moving average.
Swing Trading: When the ribbon holds above the long moving average or breaks out and retests it, look for long positions and exit when the ribbon turns red or crosses the long moving average. When the ribbon holds below the long moving average or breaks down and retests it, look for short positions and exit when the ribbon turns green or crosses the long moving average.
***DETAILS***
This indicator gives early reversal signals very well and waiting for the RSI ribbon to cross the long moving average helps to get you into positions when the market is ready to really move while filtering out some of the noise.
The ribbon and background will change to green or red depending on whether it is currently bullish or bearish.
There is also a label that changes colors and tells you if RSI is bullish or bearish and also whether the RSI ribbon is above or below the long moving average.
Green or red circles will appear on the indicator when there is a bullish or bearish cross of the RSI ribbon and the long moving average.
It also has alerts that trigger when RSI is turning bullish/bearish or when the RSI ribbon is crossing the long moving average.
***CUSTOMIZATION***
Each piece of this indicator can be customized to suit your preferences including the RSI source, length, smoothing length, short moving average length and long moving average length. You can also turn off the labels, signals and long moving average. All of these settings can be managed within the indicator settings input tab.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This RSI Scalping & Swing Signals indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are Trend Friend Scalp & Swing Trade Signals, Volume Spike Scanner, Buy & Sell Pressure Volume Profile, and Momentum Scalper in combination with this RSI indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Momentum Scalping & Swing Signals With AlertsThis Momentum indicator shows a green or red ribbon when smoothed momentum is bullish or bearish. It also includes a long moving average for overall trend confirmation. Wait until the ribbon holds above or below the long moving average and take positions in that direction.
To get an easier to read momentum indicator, I smoothed the momentum out and paired it next to a short term RMA. These two together form the ribbon that will show you early reversals and trend direction. The long moving average is used as an overall trend detector and confirmation for longer term trends.
***HOW TO USE***
Scalping: Enter longs when the ribbon turns green and enter shorts when the ribbon turns red. Exit positions when the ribbon turns the opposite color or crosses the long moving average.
Swing Trading: When the ribbon holds above the long moving average or breaks out and retests it, look for long positions and exit when the ribbon turns red or crosses the long moving average. When the ribbon holds below the long moving average or breaks down and retests it, look for short positions and exit when the ribbon turns green or crosses the long moving average.
***DETAILS***
This indicator gives early reversal signals very well and waiting for the momentum ribbon to cross the long moving average helps to get you into positions when the market is ready to really move while filtering out some of the noise.
The ribbon and background will change to green or red depending on whether it is currently bullish or bearish.
There is also a label that changes colors and tells you if momentum is bullish or bearish and also whether the momentum ribbon is above or below the long moving average.
Green or red circles will appear on the indicator when there is a bullish or bearish cross of the momentum ribbon and the long moving average.
It includes alerts that trigger when momentum is turning bullish/bearish or when the momentum ribbon is crossing the long moving average.
***CUSTOMIZATION***
Each piece of this indicator can be customized to suit your preferences including the momentum source, length, smoothing length, short moving average length and long moving average length. You can also turn off the labels, signals and long moving average. All of these settings can be managed within the indicator settings input tab.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This Momentum Scalping & Swing Signals indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are Trend Friend Scalp & Swing Trade Signals, Volume Spike Scanner, Buy & Sell Pressure Volume Profile, and RSI Scalper in combination with this momentum indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
TrendLineScalping-BasicDear Traders,
Here is the thought which came to my mind on the trendline break scalping. sometimes during the trade we do plot trendlines and we do anticipate for the line to break and take a trade. with the same thing in mind I had created this basic script to help you and other to create based on the logic used in the script.
This is just a logic based script and doesn't do any kind of wonders. Hence you may use it as necessary.
Regards....
Faraz Perfect Structure Scalper + Long Short (Indicator Alerts)XL/XS = Swing-quality trend continuation signals
Buy/Sell Scalp = TEMA+MACD-based fast scalp entries
Designed for MNQ/NQ but can be used on any instrument.
_______
What this script does
Plots structure-based levels (support/resistance, breakout, stop levels).
Marks perfect trend entries as XL (long) and XS (short) using structure + RSI + MACD + 200 EMA trend.
Marks base Long/Short signals as earlier, more aggressive entries.
Adds scalper signals (Buy Scalp / Sell Scalp) based on a TEMA + MACD momentum engine (inspired by ITG style logic) for fast in–out trades.
________
How I use it
I trade scalps primarily from the Buy/Sell Scalp triangles.
I use XL/XS and the structure bands to understand higher-quality swing entries and where price is likely to react.
I avoid trading when price is in the orange “no-add zone” between structure and breakout.
Warning
Futures are highly leveraged. Backtest and forward-test any setup first.
Scalper signals are designed for quick execution with tight risk management.
GB · Set upUp & Confirmation (Lower Pane)The GB Set-Up & Confirmation Indicator transforms raw momentum into a clear, color-coded decision framework for intraday scalping.
It’s the heartbeat monitor of 0DTE trading — revealing when momentum quietly shifts and when it explodes into confirmation.
Milliseconds Ahead: Confirm-on-Prior mode mimics predictive confirmation, letting traders catch reversals before the lag candle.
Noise-Adaptive: Near-zero band filtering reduces false breaks from micro volatility.
Visual Precision: Dual markers and labeled confirmations remove hesitation in execution.
Configurable Latency: Sensitivity presets + fine-tune ensure adaptability from SPX 1-min charts to QQQ 5-min momentum waves.
Platform: Designed for lower-pane deployment beneath the main price chart.
Primary Use: Time-sensitive momentum confirmation for 0DTE SPX/SPY/QQQ scalps.
Typical Workflow:
Wait for Early (Set-Up) triangle near the zero band → signals momentum shift.
Enter on the Confirmed triangle (or one candle prior if using “Confirm on Prior”).
Exit when opposite signal fires or wave color fades (momentum exhaustion).
Complementary Indicators: Pairs seamlessly with GB TMA Overlay, GB ORB Shading, or Phoenix Fire Confluence for full-stack entry validation.
Adaptive Sensitivity Presets
- Aggressive: reacts early to momentum pulses (scalp mode).
- Balanced: optimized for intraday consistency.
- Strict: waits for full trend maturity (swing mode).
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
RSI Divergence Strategywhat is "RSI Divergence Strategy"?
it is a RSI strategy based this indicator:
what it does?
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss.
how it does it?
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value.
How to use it?
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use.
RSI length is length of RSİ
source is source of RSİ
RSİ Divergence lenght is length of line on the RSI
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group.
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.
NVME Hunter XNVME Hunter X is a scalping indicator designed from our NVME Oscillator X, it uses the trend confirmations to generate scalping signals and the signals can be customised in many different ways too. With our scalper, there are two scalping modes: default and legacy. Default is our new NVME Oscillator X algorithm and the legacy is our old algorithm combined with another indicator to generate the signals. With this new algorithm, we have reduced the amount of faulty signal prints by 20%, which is big. Furthermore, with the legacy mode you can customise the signal filtration system in 3 different ways: Colour-Based, Double Filter and Triple Filter. Colour-Based will only print the signal if the bar colour is the same as the signal printed so buys are green and sells are red (or whatever your colour scheme is). Double Filter will use multiple closes as a confirmation combined with a oscillator confluence to generate a signal and the triple filter will use multiple closes, the oscillator and the legacy mode to generate a signal print.
We also have an automatic support and resistance highlighter integrated into this scalping indicator to help traders find the key areas where price may reject and this works from finding confirmed pivot points and high points and low points where price has reversed and given the algorithm the confirmation it needs. The support and resistance zones can be changed by inputting different values into the lookback and forward offset period to generate different outputs.
To give you the extra confirmation, there is two plots that are accessible within the settings which is the chaser and tracer, both having a different colouring algorithm to give you an indication of the trend and whether or not it is a good time to scalp. The chaser works by using the oscillator to colour and the tracer works by using the price crossover to colour.
You can also customise the colour scheme to anything you want, there are 3 input boxes that allow you to change the colour for the bullish trend , bearish trend and unconfirmed trend and you can disable the colour overlay too, so that you can revert back to your old chart scheme.
The scalper also has predictive take profits and stop loss areas that can be printed next to every signal that shows you potential areas to look forward too, however this is done through ATR and high volatility periods can cause a massive fluctuation leaving the distance to far to get between each line.
You can also customise the dashboard's text colour, the x position and the y position and you can disable the dashboard too if you don't like it being displayed.
Our range filter removes up to 30% of faulty signals plotted on the charts giving you a noise free experience when scalping and some calls can even follow the trending market. This can be changed by toggling it on and changing the maximum and minimum range values.
Note: These results are not guaranteed in the future and each trade has risks, please consider the risks before you decide to try this indicator. Thank you for reading :)
