ATR Trailing Stop (Long or Short Selectable)The ATR Trailing Stop (Long or Short Selectable) will start calculating on a set date that you specify. This is great because you want to trail the price from the breakout day or even after exceeding specific price level (can be your breakeven level or even to capture more of the upside after the price target is met).
Entry price: If you act at the close of the day, you can leave this value as 0 and it will take the close of the day for the initial protective stop-loss calculation. You can choose to add a value such as the pattern boundary and in that case it will subtract the initial protective stop-loss from the pattern boundary and not the close of the day. If you use a scaling in tactic during the day (buying in tranches intraday as the breakout takes place) and your average purchase price is different than the close of the day, you can also plug that number in to calculate the initial protective stop-loss.
This is a modified version as many followers asked for ATR trailing for short setups. Now you can select the Long/Short trade setup from the drop down menu.
ATR period: You can select the ATR period. It can be 10 day, 14 day or 30 day or any ATR period of your choice.
ATR Multiplier for Stop-loss: This is the multiplier that you want to trail the price with. From the highest level price reached it will trail the price with a 3 x ATR () distance. The higher the number, the wider the trailing stop-loss. A multiplier of 1 will trail the price so close that and adverse movement can result in triggering the stop-loss.
Custom Value for First day Trailing Stop: This is my favorite part. For aggressive risk management, your initial protective stop can be smaller than what the ATR Trailing Stop will use in its calculation after entry day. In this case you can take 1xATR () or even with FX and Futures you can apply 0.5xATR() as the first day to calculate initial protective stop. The protective stop turns into a trailing stop after the first day.
图表形态
Filter Trend1. Indicator Name
Premium EMA Ribbon Filter (Pro Version)
(Advanced Trend & Momentum Filtering System Based on EMA Ribbons)
2. One-Line Introduction
A professional trend-analysis indicator that blends an advanced noise-filtering algorithm with an EMA ribbon system to extract only the pure bullish/bearish trend while smoothing out market noise.
3. Overall Description (7+ lines)
The Premium EMA Ribbon Filter is more than just a set of EMAs.
It analyzes the structure of a fast, medium, and slow EMA ribbon—along with the spacing and alignment between them—to determine whether the market is in a bullish trend, bearish trend, or a neutral/noise-heavy zone.
The core of this indicator is its noise-reduction algorithm and trend-strength calculation system.
Instead of relying on simple EMA cross signals, it evaluates how consistently the ribbon maintains bullish/bearish alignment over a specified period and highlights only strong trends with color coding, while weak or noisy areas are displayed in gray.
This helps traders avoid confusing or false signals and clearly focus only on the “meaningful zones.”
A Triple-Smoothing System is applied to create smoother, more refined ribbon movements, forming a stable “premium trend curve” that is less affected by short-term volatility.
As a result, this indicator works effectively for scalping, swing trading, and long-term trend following—staying true to the principle of removing noise and highlighting only the core market flow.
4. Short Advantages (6 items)
① Complete Noise Filtering
Using EMA ribbon comparison + tolerance logic, false reversals are largely eliminated, leaving only stable trend phases.
② Highly Readable Color System
Bullish trends are mint, bearish trends are red, and neutral/noise zones are gray—instantly visualizing market conditions.
③ Trend Strength Visualization
Not only trend direction but also trend strength is displayed via dynamic color transparency.
④ Smooth, Premium-Style Ribbon Design
Triple-smoothing creates a refined, luxury-level smoothness in movement.
⑤ Works Across All Timeframes
From 1-minute scalping to daily/weekly macro trend analysis.
⑥ Excellent Real-Trading Compatibility
Works extremely well when combined with ATR, SuperTrend, and volume-based indicators.
Indicator Manual (Required Section)
📌 Understanding the Core Concept
The indicator uses three EMAs (e.g., 20/50/100) arranged as a ribbon to analyze the structural alignment of the trend.
When the EMAs are cleanly aligned Top → Middle → Bottom, the market is in a bullish trend.
When aligned Bottom → Middle → Top, the market is in a bearish trend.
The indicator further evaluates the ribbon spread (gap) and the consistency of alignment to compute trend strength.
Noisy market conditions are shaded gray to clearly indicate “uncertain/indecisive” zones.
⚙️ Settings Description
Option Description
Fast EMA Most sensitive EMA; detects early trend signals
Mid EMA Stabilizes the primary trend direction
Slow EMA Defines the broader, long-term trend flow
Trend Lookback The period used to analyze trend strength
Noise Tolerance (%) Higher values = stronger noise removal
Smoothing Steps Controls how smooth the ribbon becomes
📈 Example Recognition
A bullish continuation/entry scenario forms when:
EMAs align in the order Fast → Mid → Slow (top side)
Ribbon color shifts into mint (strong bullish trend)
The ribbon begins to expand while price stays above the ribbon
📉 Example Recognition
A bearish continuation/entry occurs when:
EMAs align Fast → Mid → Slow (bottom side)
Ribbon color remains red
After contracting, the ribbon expands again during renewed downside strength
🧪 Recommended Usage
Combine with volume-based indicators (OBV, Volume Profile) → enhanced strong-trend detection
Use with SuperTrend or ATR Stop → clearer stop-loss placement
Combine with RSI/Stoch → avoid counter-trend entries in overheated conditions
Higher leverage traders should use higher tolerance settings
🔒 Cautions
EMA ribbons are trend-following tools; signals may weaken in ranging/sideways markets.
Never rely solely on this indicator—always confirm with volume, price patterns, or structure.
Very low Lookback values may cause excessive re-entry signals.
In high-volatility environments, ribbon spacing can contract/expand rapidly—use with caution.
Support Resistance📌 1. Indicator Name
Premium Auto Support & Resistance
📌 2. One-Line Description
An automated S/R system that generates support and resistance zones based on swing highs and lows, displaying them in a premium visual style directly on the chart.
📌 3. Overall Summary (7+ lines)
This indicator automatically detects price levels where the market has repeatedly reacted and generates support and resistance zones.
Instead of simple horizontal lines, it visualizes reaction ranges as zones, helping traders clearly understand the actual price areas where activity occurs.
It uses swing points (high/low pivots) as the fundamental basis and continuously updates only the most meaningful recent S/R levels.
A smoothing process is applied, reducing noise and creating more natural, reliable S/R zones.
Support and resistance are displayed as filled transparency-based zones, enabling intuitive identification of zone strength and market position.
When price touches one of these zones, a small signal appears to highlight potential reversal points.
All elements are plotted directly over the candles with overlay=true, making it an instantly usable and visually premium tool.
📌 4. Advantages (6 items)
① Automatic Swing-Based S/R Detection
Automatically analyzes key pivot points and extracts only the most meaningful support and resistance levels.
② Support/Resistance Zone Structure
Provides intuitive reaction ranges instead of single lines, making it far more practical for real trading.
③ Smooth Premium-Style Lines
S/R lines are smoothed to remove noise, maintaining a natural and refined premium visual appearance.
④ Automatic Candle-Touch Alerts
Displays signals whenever price touches support or resistance, helping you quickly identify potential reversal areas.
⑤ Overlay-Based Immediate Clarity
Drawn directly onto the chart without occupying indicator windows, keeping visual focus on price action.
⑥ Simple Yet Powerful Framework
A pivot + smoothing + zone combination that strengthens automatic S/R detection while remaining easy for beginners to use.
لbsm15// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © LuxAlgo
//@version=5
indicator("لbsm15", overlay = true, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 3000)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
liqGrp = 'Liquidity Detection'
liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp)
liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp)
liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp)
marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp)
cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp)
liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp)
marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp)
cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp)
lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp)
cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp)
cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp)
lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp)
mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp)
visLiq = input.int (3, ' # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp)
//-----------------------------------------------------------------------------}
//General Calculations
//-----------------------------------------------------------------------------{
maxSize = 50
atr = ta.atr(10)
atr200 = ta.atr(200)
per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true
//-----------------------------------------------------------------------------}
//User Defined Types
//-----------------------------------------------------------------------------{
// @type used to store pivot high/low data
//
// @field d (array) The array where the trend direction is to be maintained
// @field x (array) The array where the bar index value of pivot high/low is to be maintained
// @field y (array) The array where the price value of pivot high/low is to be maintained
type ZZ
int d
int x
float y
// @type bar properties with their values
//
// @field o (float) open price of the bar
// @field h (float) high price of the bar
// @field l (float) low price of the bar
// @field c (float) close price of the bar
// @field i (int) index of the bar
type bar
float o = open
float h = high
float l = low
float c = close
int i = bar_index
// @type liquidity object definition
//
// @field bx (box) box maitaing the liquity level margin extreme levels
// @field bxz (box) box maitaing the liquity zone margin extreme levels
// @field bxt (box) box maitaing the labels
// @field brZ (bool) mainains broken zone status
// @field brL (bool) mainains broken level status
// @field ln (line) maitaing the liquity level line
// @field lne (line) maitaing the liquity extended level line
type liq
box bx
box bxz
box bxt
bool brZ
bool brL
line ln
line lne
//-----------------------------------------------------------------------------}
//Variables
//-----------------------------------------------------------------------------{
var ZZ aZZ = ZZ.new(
array.new (maxSize, 0),
array.new (maxSize, 0),
array.new (maxSize, na)
)
bar b = bar.new()
var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var b_liq_V = array.new_box()
var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na
//-----------------------------------------------------------------------------}
//Functions/methods
//-----------------------------------------------------------------------------{
// @function maintains arrays
// it prepends a `value` to the arrays and removes their oldest element at last position
// @param aZZ (UDT, array, array>) The UDT obejct of arrays
// @param _d (array) The array where the trend direction is maintained
// @param _x (array) The array where the bar index value of pivot high/low is maintained
// @param _y (array) The array where the price value of pivot high/low is maintained
//
// @returns none
method in_out(ZZ aZZ, int _d, int _x, float _y) =>
aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop()
// @function (build-in) sets the maximum number of bars that is available for historical reference
max_bars_back(time, 1000)
//-----------------------------------------------------------------------------}
//Calculations
//-----------------------------------------------------------------------------{
x2 := b.i - 1
ph = ta.pivothigh(liqLen, 1)
pl = ta.pivotlow (liqLen, 1)
if ph
dir := aZZ.d.get(0)
x1 := aZZ.x.get(0)
y1 := aZZ.y.get(0)
y2 := nz(b.h )
if dir < 1
aZZ.in_out(1, x2, y2)
else
if dir == 1 and ph > y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == 1
if aZZ.y.get(i) > ph + (atr / liqMar)
break
else
if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_B.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_B.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted))
)
alert('buyside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_B.size() > visLiq
getLast = b_liq_B.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
if pl
dir := aZZ.d.get (0)
x1 := aZZ.x.get (0)
y1 := aZZ.y.get (0)
y2 := nz(b.l )
if dir > -1
aZZ.in_out(-1, x2, y2)
else
if dir == -1 and pl < y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == -1
if aZZ.y.get(i) < pl - (atr / liqMar)
break
else
if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_S.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_S.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted))
)
alert('sellside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_S.size() > visLiq
getLast = b_liq_S.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
for i = 0 to b_liq_B.size() - 1
x = b_liq_B.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.h > x.bx.get_top()
x.brL := true
x.brZ := true
alert('buyside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h))
x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1())
x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr)
x.bxz.set_right(b.i + 1)
x.bxz.set_top(math.max(b.h, x.bxz.get_top()))
if liqBuy
x.lne.set_x2(b.i + 1)
else
x.brZ := false
for i = 0 to b_liq_S.size() - 1
x = b_liq_S.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.l < x.bx.get_bottom()
x.brL := true
x.brZ := true
alert('sellside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, x.ln.get_y1())
x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l))
x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr)
x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom()))
if liqSel
x.lne.set_x2(b.i + 1)
else
x.brZ := false
if lqVoid and per
bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h
bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l
if bull
l = 13
if bull
st = math.abs(b.l - b.l ) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
st = math.abs(b.l - b.h ) / l
for i = 0 to l - 1
if lqText and i == 0
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
if bear
l = 13
if bear
st = math.abs(b.h - b.h) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
st = math.abs(b.l - b.h) / l
for i = 0 to l - 1
if lqText and i == l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
if b_liq_V.size() > 0
qt = b_liq_V.size()
for bn = qt - 1 to 0
if bn < b_liq_V.size()
cb = b_liq_V.get(bn)
ba = math.avg(cb.get_bottom(), cb.get_top())
if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba)
b_liq_V.remove(bn)
else
cb.set_right(b.i + 1)
if b.i - cb.get_left() > 21
cb.set_text_color(color.new(color.gray, 25))
//-----------------------------------------------------------------------------}
Grok/Claude AI Neural Fusion Pro * Grok/Claude X SeriesGrok/Claude AI Neural Fusion Pro
This is a TradingView indicator that combines multiple technical analysis methods into a unified scoring system to identify trading opportunities. Despite the "Neural" and "AI" branding, it's not actually using machine learning — it's a sophisticated blend of traditional indicators weighted together to produce a single decision-aiding score.
Core Philosophy
The indicator attempts to answer the question: "How bullish or bearish is the current market environment, and when should I consider entering a trade?"
It does this by calculating a "GXS Score" (ranging from -1 to +1) that aggregates five different market dimensions: trend strength, momentum, volume, price structure, and price action quality. Each dimension contributes to the final score based on user-defined weights.
The Dynamic Bands System
Rather than using standard Bollinger Bands, this indicator creates adaptive bands that expand and contract based on market conditions. The bands are built around a midpoint calculated from Heikin Ashi candles (smoothed price bars that filter out noise), then extended outward using ATR (Average True Range) multiplied by a dynamic factor.
What makes these bands "dynamic" is that the multiplier adjusts based on two factors: the Chaikin Oscillator (which measures buying/selling pressure through accumulation/distribution) and ADX (trend strength). When there's strong directional pressure or a powerful trend, the bands widen to accommodate larger price swings. In quieter markets, they tighten.
The Five Scoring Components
The GXS Score is built from five weighted components:
ComponentDefault WeightWhat It MeasuresTrend Strength30%ADX direction and magnitude — is there a real trend, and which way?Momentum25%RSI, MACD, Stochastic, CCI, Rate of Change, plus divergence detectionVolume20%On-Balance Volume slope and whether volume confirms price movementPrice Structure15%Where price sits within the bands, plus volatility regimePrice Action10%Ratio of bullish vs bearish candles over recent bars
Trend Strength Component
This component only contributes to the score when ADX indicates a trending market (above the threshold, default 24). If DI+ exceeds DI-, the score tilts bullish; if DI- dominates, it tilts bearish. In ranging markets, this component essentially zeros out, preventing false trend signals during choppy conditions.
Momentum Component
This is the most complex component, combining six sub-indicators. RSI is normalized around the 50 level. MACD histogram is standardized against its own volatility. Stochastic and CCI contribute bonus points at extreme levels (oversold/overbought). Rate of Change adds directional bias for strong moves. Finally, divergence detection looks for situations where price makes new highs/lows but RSI doesn't confirm — a classic reversal warning.
Volume Component
The indicator tracks On-Balance Volume (a cumulative measure of buying vs selling pressure) and compares it to its moving average. When OBV is rising above its average during an uptrend, that's confirmation. The volume rate of change also contributes — surging volume adds conviction to signals.
Price Structure Component
This measures where the current price sits within the dynamic bands. If price is in the bottom 20% of the band range, that's bullish (potential bounce zone). If it's in the top 20%, that's bearish (potential resistance). The component also factors in volatility regime — low volatility environments get a slight bullish bias (breakouts tend to follow compression), while high volatility gets a bearish bias (exhaustion risk).
Price Action Component
A simple measure of recent candle character. If 70%+ of the last 10 candles were bullish (closed higher than they opened), the score tilts positive. Heavy bearish candle dominance tilts it negative.
Signal Generation
Buy and sell signals are generated when price touches or breaches the dynamic bands, but only if several filters pass:
ADX Filter (optional): Requires the market to be trending, avoiding signals in choppy conditions
RSI Filter (optional): For buys, RSI must be oversold (below 30); for sells, RSI must be overbought (above 70)
Cooldown Period: Prevents signal spam by requiring a minimum number of bars between signals (default 6)
The indicator also tracks "zones" based purely on the GXS Score. When the score exceeds the buy threshold (default 0.12) during a trending market, a green cloud appears between the bands. When it drops below the sell threshold (default -0.12), a red cloud appears. These zones indicate favorable conditions even without a specific band-touch signal.
Trend Strength Meter
Separate from the GXS Score, the indicator calculates a "Trend Strength" percentage (0-100%) displayed in the info table. This combines ADX strength (40% weight), slope consistency (30% — how steady is the price direction), volume alignment (20% — is volume confirming the move), and momentum agreement (10% — are multiple indicators pointing the same direction). This helps traders gauge how reliable the current trend is.
Visual Elements
The indicator provides multiple visual layers that can be toggled on or off:
Dynamic bands (blue midline, red upper, green lower)
Signal clouds between the bands when in buy/sell zones
Background shading indicating bullish (green) or bearish (red) regime
Triangle arrows at signal points with configurable sizes
Price labels showing exact entry prices at signals
ADX strength dots at the bottom (white = weak, orange = moderate, blue = strong)
Info table with current readings for all key metrics
Debug panel (optional) showing individual component scores
Summary
This is essentially a "committee voting" system where multiple technical indicators each cast votes on market direction, and those votes are weighted and summed into a single score. The dynamic bands provide context for where price is relative to recent volatility, while the various filters help avoid low-quality signals. It's designed for traders who want a synthesized view of market conditions rather than watching a dozen separate indicators.
A+ Setup Strategy Trendline Features Added:
1. Automatic Trendline Detection
Support Trendline (green) - Connects swing lows
Resistance Trendline (red) - Connects swing highs
Uses pivot points to identify key swing levels
Validates trendlines by counting touches (minimum 3 touches required)
2. Trendline Settings
Show Trendlines - Toggle on/off
Lookback Period - How far back to look for pivots (default: 50 bars)
Min Touches - How many touches needed for valid trendline (default: 3)
3. Trendline Break Detection
Bullish Break - Price breaks above support trendline (marked with small green circle)
Bearish Break - Price breaks below resistance trendline (marked with small red circle)
Generates signals when breaks occur
4. Enhanced A+ Setups
Now includes ULTRA setups - the absolute best trades:
ULTRA BUY Setup (Aqua label):
Bullish FVG + BOS + Volume Spike + Uptrend
PLUS: Support trendline break OR near key support
PLUS: Trendline breakout confirmation
ULTRA SELL Setup (Fuchsia label):
Bearish FVG + BOS + Volume Spike + Downtrend
PLUS: Resistance trendline break OR near key resistance
PLUS: Trendline breakdown confirmation
5. Confluence Integration
The strategy now considers price near trendlines as additional confluence, similar to how it uses daily S/R levels.
6. Additional Alerts
Support Trendline Break
Resistance Trendline Break
ULTRA BUY/SELL Setup alerts
This gives you multiple tiers of signal quality:
Standard A+ Setup - All conditions met
ULTRA A+ Setup - All conditions + trendline break (highest probability)
The trendlines will help you identify major trend reversals and breakouts for even better entry timing!
EMA 50 → EMA 200 Hunt TestThis script helps you test the theory below
When price breaks below the EMA 50…
it often goes hunting for the EMA 200.
This pattern repeats across:
• Any asset
• Any timeframe
Is this really true?
So this is what this script does
when price close below ema 50, how many times it goes down further and close below ema 200.
after price close below ema 50, on any of further days if it closes above ema 50 without closing below 200 ema, then it goes invalid and we calculate this count, how many sych occurences happens
after price close below ema 50, on any of further days if it doesn close above ema 50 and closed below 200 ema, we consider its valid and count this occurences
we need to compare both in table
Grok/Claude MoneyLine Fusion * Grok/Claude X SeriesMoneyLine Fusion Indicator
This is a technical analysis indicator designed to help traders identify potential buy and sell opportunities in the market. It combines several well-known trading concepts into one unified tool, displaying visual bands on the chart and generating signals when multiple conditions align.
The Core Concept: The "Money Line"
At the heart of this indicator is something called the Money Line, which is essentially a smoothed trend line calculated using linear regression over the last 16 bars (by default). Think of it as a "best fit" line through recent prices that shows you the general direction the market is heading. The indicator colors this line green when the trend is rising, red when it's falling, and yellow when it's essentially flat or undecided.
The Dynamic Bands
Surrounding the Money Line are upper and lower bands that expand and contract based on market volatility. These bands use the ATR (Average True Range) to measure how much the price typically moves. Here's where it gets clever: the bands also factor in the ADX indicator (which measures trend strength). When the market is trending strongly, the bands widen more aggressively to account for bigger price swings. When the trend is weak, they stay tighter. This adaptive behavior helps the indicator adjust to different market conditions automatically.
The area between the bands is shaded in the trend color (green, red, or yellow) to give you a quick visual of the current market bias.
How Buy and Sell Signals Are Generated
The indicator doesn't just look at one thing — it requires multiple conditions to align before triggering a signal. This is designed to filter out false signals and only alert you when several factors agree.
Signal TypeRequired ConditionsBUYFisher Transform is below -2.0 (oversold), Aroon Up is low (below 20), Aroon Down is high (above 80), and optionally a positive TA ScoreSELLFisher Transform is above +2.0 (overbought), Aroon Up is high (above 80), Aroon Down is low (below 20), and optionally a negative TA Score
Fisher Transform is a mathematical technique that converts price data into a bell curve distribution, making extreme readings (overbought/oversold) easier to spot.
Aroon measures how long it's been since the highest high or lowest low. When Aroon Down is high and Aroon Up is low, it suggests recent price action has been dominated by lows — a potential reversal setup for a buy.
The indicator also prevents signal spam by requiring at least 5 bars between signals of the same type.
The TA Scoring System
Behind the scenes, the indicator calculates a composite score based on four different technical indicators:
MACD — Momentum and trend direction (scores -2 to +2)
DMI — Directional movement comparing buyers vs sellers (scores -2 to +2)
MFI — Money Flow Index, similar to RSI but incorporates volume (scores -2 to +2)
RSI — Classic overbought/oversold measure (scores -1 to +1)
These scores are added together, and the result is displayed in the info panel with labels like "very bullish," "slightly bearish," or "neutral." You can optionally require a minimum TA score before signals trigger, adding another layer of confirmation.
Visual Display Elements
The indicator offers several optional display features:
Shaded bands between upper and lower lines
Buy/Sell labels directly on the chart showing the entry price
Bright blue candle highlighting when a signal fires
Info panel in the corner showing the Money Line value, volatility percentile, RSI, and TA score
Score dots at the bottom of the chart (green for bullish, red for bearish, yellow for neutral)
Debug table for troubleshooting that shows real-time values of Fisher, Aroon, and signal conditions
In Summary
This indicator is essentially a multi-factor confirmation system. Rather than relying on a single indicator that might give many false signals, it waits until the trend direction (Money Line), momentum extremes (Fisher Transform), price cycle position (Aroon), and overall technical picture (TA Score) all point in the same direction. The adaptive bands help visualize where price "should" be trading given current volatility and trend strength. It's designed for traders who prefer fewer but higher-conviction signals.
Session Open Range, Breakout & Trap Framework - TrendPredator OBSession Open Range, Breakout & Trap Framework — TrendPredator Open Box
Stacey Burke’s trading approach combines concepts from George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His framework focuses on reading price behaviour across daily templates and identifying how markets move through recurring cycles of expansion, contraction, and reversal. While effective, much of this analysis requires real-time interpretation of session-based behaviour, which can be demanding for traders working on lower intraday timeframes.
The TrendPredator indicators formalize parts of this methodology by introducing mechanical rules for multi-timeframe bias tracking and session structure analysis. They aim to present the key elements of the system—bias, breakouts, fakeouts, and range behaviour—in a consistent and objective way that reduces discretionary interpretation.
The Open Box indicator focuses specifically on the opening behaviour of major trading sessions. It builds on principles found in classical Open Range Breakout (ORB) techniques described by Tony Crabel, where a defined time window around the session open forms a structural reference range. Price behaviour relative to this range—breaking out, failing back inside, or expanding—can highlight developing session bias, potential trap formation, and directional conviction.
This indicator applies these concepts throughout the major equity sessions. It automatically maps the session’s initial range (“Open Box”) and tracks how price interacts with it as liquidity and volatility increase. It also incorporates related structural references such as:
* the first-hour high and low of the futures session
* the exact session open level
* an anchored VWAP starting at the session open
* automated expansion levels projected from the Open Box
In combination, these components provide a unified view of early session activity, including breakout attempts, fakeouts, VWAP reactions, and liquidity targeting. The Open Box offers a structured lens for observing how price transitions through the major sessions (Asia → London → New York) and how these behaviours relate to higher-timeframe bias defined in the broader TrendPredator framework.
Core Features
Open Box (Session Structure)
The indicator defines an initial session range beginning at the selected session open. This “Open Box” represents a fixed time window—commonly the first 30 minutes, or any user-defined duration—that serves as a structural reference for analysing early session behaviour.
The range highlights whether price remains inside the box, breaks out, or rejects the boundaries, providing a consistent foundation for interpreting early directional tendencies and recognising breakout, continuation, or fakeout characteristics.
How it works:
* At the session open, the indicator calculates the high and low over the specified time window.
* This range is plotted as the initial structure of the session.
* Price behaviour at the boundaries can illustrate emerging bias or potential trap formation.
* An optional secondary range (e.g., 15-minute high/low) can be enabled to capture early volatility with additional precision.
Inputs / Options:
* Session specifications (Tokyo, London, New York)
* Open Box start and end times (e.g., equity open + first 30 minutes, or any custom length)
* Open Box colour and label settings
* Formatting options for Open Box high and low lines
* Optional secondary range per session (e.g., 15-minute high/low)
* Forward extension of Open Box high/low lines
* Number of historic Open Boxes to display
Session VWAPs
The indicator plots VWAPs for each major trading session—Asia, London, and New York—anchored to their respective session opens. These session-specific VWAPs assist in tracking how value develops through the day and how price interacts with session-based volume distributions.
How it works:
* At each session open, a VWAP is anchored to the open price.
* The VWAP updates throughout the session as new volume and price data arrive.
* Deviations above or below the VWAP may indicate balance, imbalance, or directional control.
* Viewed together, session VWAPs help identify transitions in value across sessions.
Inputs / Options:
* Enable or disable VWAP per session
* Adjustable anchor and end times (optionally to end of day)
* Line styling and label settings
* Number of historic VWAPs to draw
First Hour High/Low Extensions
The indicator marks the high and low formed during the first hour of each session. These reference points often function as early control levels and provide context for assessing whether the session is establishing bias, consolidating, or exhibiting reversal behaviour.
How it works:
* After the session starts, the indicator records the highest and lowest prices during the first hour.
* These levels are plotted and extended across the session.
* They provide a visual reference for observing reactions, targets, or rejection zones.
Inputs / Options:
* Enable or disable for each session
* Line style, colour, and label visibility
* Number of historic sessions displayed
EQO Levels (Equity Open)
The indicator plots the opening price of each configured session. These “Equity Open” levels represent short-term reference points that can attract price early in the session.
Once the level is revisited after the Open Box has formed, it is automatically cut to avoid clutter. If not revisited, the line remains as an untested reference, similar to a naked point of control.
How it works:
* At session open, the open price is recorded.
* The level is plotted as a local reference.
* If price interacts with the level after the Open Box completes, the line is cut.
* Untested EQOs extend forward until interacted with.
Inputs / Options:
* Enable/disable per session
* Line style and label settings
* Optional extension into the next day
* Option for cutting vs. hiding on revisit
* Number of historic sessions displayed
OB Range Expansions (Automatic)
Range expansions are calculated from the height of the Open Box. These levels provide structured reference zones for identifying potential continuation or exhaustion areas within a session.
How it works:
* After the Open Box is formed, multiples of the range (e.g., 1×, 2×, 3×) are projected.
* These expansion levels are plotted above and below the range.
* Price reactions near these areas can illustrate continuation, hesitation, or potential reversal.
Inputs / Options:
* Enable or disable per session
* Select number of multiples
* Line style, colour, and label settings
* Extension length into the session
Stacey Burke 12-Candle Window Marker
The indicator can highlight the 12-candle window often referenced in Stacey Burke’s session methodology. This window represents the key active period of each session where breakout attempts, volatility shifts, and reversal signatures often occur.
How it works:
* A configurable window (default 12 candles) is highlighted from each session open.
* This window acts as a guide for observing active session behaviour.
* It remains visible throughout the session for structural context.
Inputs / Options:
* Enable/disable per session
* Configurable window duration (default: 3 hours)
* Colour and transparency controls
Concept and Integration
The Open Box is built around the same multi-timeframe logic that underpins the broader TrendPredator framework.
While higher-timeframe tools track bias and setups across the H8–D–W–M levels, the Open Box focuses on the H1–M30 domain to define session structure and observe how early intraday behaviour aligns with higher-timeframe conditions.
The indicator integrates with the TrendPredator FO (Breakout, Fakeout & Trend Switch Detector), which highlights microstructure signals on lower timeframes (M15/M5). Together they form a layered workflow:
* Higher timeframes: context, bias, and developing setups
* TrendPredator OB: intraday and intra-session structure
* TrendPredator FO: microstructure confirmation (e.g., FOL/FOH, switches)
This alignment provides a structured way to observe how daily directional context interacts with intraday behaviour.
See the public open source indicator TP FO here (click on it for access):
Practical Application
Before Session Open
* Review previous session Open Box, Open level, and VWAPs
* Assess how higher-timeframe bias aligns with potential intraday continuation or reversal
* Note untested EQO levels or VWAPs that may function as liquidity attractors
During Session Open
* Observe behaviour around the first-hour high/low and higher-timeframe reference levels
* Monitor how the M15 and 30-minute ranges close
* Track reactions relative to the session open level and the session VWAP
After the Open Box completes
* Assess price interaction with Open Box boundaries and first-hour levels
* Use microstructure signals (e.g., FOH/FOL, switches) for potential confirmation
* Refer to expansion levels as reference zones for management or target setting
After Session
* Review how price behaved relative to the Open Box, EQO levels, VWAPs, and expansion zones
* Analyse breakout attempts, fakeouts, and whether intraday structure aligned with the broader daily move
Example Workflow and Trade
1. Higher-timeframe analysis signals a Daily Fakeout Low Continuation (bullish context).
2. The New York session forms an Open Box; price breaks above and holds above the first-hour high.
3. A Fakeout Low + Switch Bar appears on M5 (via FO), after retesting the session VWAP triggering the entry.
4. 1x expansion level serves as reference targets for take profit.
Relation to the TrendPredator Ecosystem
The Open Box is part of the TrendPredator Indicator Family, designed to apply multi-timeframe logic consistently across:
* higher-timeframe context and setups
* intraday and session structure (OB)
* microstructure confirmation (FO)
Together, these modules offer a unified structure for analysing how daily and intraday cycles interact.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
It does not provide buy or sell signals but highlights structural and behavioural areas for analysis.
Users are solely responsible for their trading decisions and outcomes.
Adaptive Trend Direction Degree (Lax)Trend direction
Trend strength
Momentum
Potential reversal points
SuperTrend Zone Rejection [STRZ] CONCEPT -
This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline.
HOW IT WORKS -
The script operates on three logic gates:
>> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction.
>> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area.
>> Signal Detection: Identifies specific candle geometries occurring within these zones.
>> Rejection: Candles with significant wicks testing the zone support/resistance.
>> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range.
FEATURES -
>> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box.
>> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size.
>> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries.
SETTINGS -
>> Super Trend: Adjustable Factor and ATR Period.
>> Zone Multiplier: Controls the width of the pullback zone relative to ATR.
>> Visuals: Customizable colours for zones and signals to fit light/dark themes.
Grok/Claude AI Regime Engine • Grok/Claude X SeriesGrok/Claude AI Regime Engine
This is a TradingView indicator designed to identify market regimes (bullish, bearish, or neutral) and generate buy/sell signals based on multiple technical factors working together.
Core Concept
At its heart, this indicator tries to answer a simple question: "What kind of market are we in right now, and when should I consider buying or selling?"
It does this by blending several well-known technical analysis tools into a unified system. Think of it as a dashboard that synthesizes multiple indicators into clear, actionable information.
How It Determines Market Regime
The indicator creates what it calls a "Money Line" by combining two exponential moving averages (EMAs) — a fast one (default 8 periods) and a slow one (default 24 periods). These are weighted together, with the fast EMA getting 60% influence by default. This blended line serves as the primary trend reference.
Bullish regime is declared when the short EMA crosses above the long EMA, provided the RSI isn't already in overbought territory. Bearish regime kicks in when the opposite happens — short EMA crosses below long, as long as RSI isn't oversold. Neutral regime occurs when the indicator detects sideways, choppy conditions.
The neutral detection is particularly interesting. It uses two optional methods: one looks at how flat the Money Line's slope is (compared to recent volatility via ATR), and the other checks how close together the two EMAs are as a percentage of price. When the market is grinding sideways, these methods help the indicator avoid falsely calling a trend.
Signal Generation Logic
Buy and sell signals are generated using Donchian Channel breakouts as the trigger mechanism. The Donchian Channel tracks the highest high and lowest low over a lookback period (default 20 bars), using the previous bar's values to avoid repainting issues.
A buy signal fires when price touches or breaks below the lower Donchian band, suggesting a potential reversal from oversold conditions. A sell signal fires when price reaches the upper band. However, these raw breakout signals pass through several filters before being displayed:
FilterPurposeADX thresholdOnly signals when the market has sufficient trend strength (default: ADX > 25)RSI filterBuy signals require RSI to be oversold; sell signals require overbought RSICooldown periodPrevents signal spam by requiring a minimum number of bars between signalsClose confirmationOptional setting to require a candle close beyond the band, not just a wick
Additional Metrics Displayed
The indicator calculates and displays several supplementary metrics in an information panel. ADX (Average Directional Index) measures trend strength — values below 15 suggest a weak, ranging market, while above 25 indicates a strong trend. The colored dots at the bottom of the chart reflect this: white for weak, orange for moderate, blue for strong.
BBWP (Bollinger Band Width Percentile) measures current volatility relative to historical volatility over roughly a year of data. High readings suggest volatility expansion; low readings suggest compression, which often precedes significant moves.
Alerts and Notifications
The indicator generates alerts in two scenarios: when the market regime changes (bullish to bearish, etc.) and when buy/sell signals trigger. Alert messages include the ticker symbol, timeframe, current price, RSI, ADX, and other relevant context so you can quickly assess the situation without opening the chart.
Visual Customization
Users can toggle various display elements on or off, including the EMA lines, Donchian bands, shaded regime zones between the bands, and price labels at signal points. The shading between the upper and lower bands changes color based on the current regime — green for bullish, magenta for bearish, and blue for neutral — providing an at-a-glance view of market conditions over time.
Summary
This is essentially a trend-following system with mean-reversion entry signals, filtered by momentum and trend strength indicators. It's designed to help traders identify favorable market conditions and time entries while avoiding signals during choppy, directionless periods. The multiple confirmation layers aim to reduce false signals, though like any technical system, it will still produce losing trades in certain market conditions.
DeepClean Linear indicator 1. Indicator Name
DeepClean Linear indicator
2. One-Line Introduction
A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form.
3. Overall Summary
The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window.
Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise.
This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time.
A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal.
Color automatically shifts based on trend:
Bright cyan/teal during bullish conditions
Reddish tones during bearish conditions
Transparency dynamically adjusts depending on strength
The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading.
It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies.
4. Advantages
① Ultra-Clean Noise-Reduced Wave
Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement.
② Trend Direction & Strength at a Glance
Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible.
③ Intuitive Price Overlay Visualization
The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points.
④ Dynamic Transparency Coloring
Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless.
⑤ Excellent Range Filtering
During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries.
⑥ Multi-Timeframe Compatibility
The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes.
📌 Core Concept Overview
The indicator evaluates the relative comparison of linear regression values over the last n periods.
A positive trend value indicates bullish bias
A negative trend value indicates bearish bias
Intensity represents strength and controls wave height
waveTop / waveBot define the visual wave area relative to price
State Values
1 = Bullish Trend
-1 = Bearish Trend
0 = Neutral / Weak Direction
⚙️ Settings Overview
Option Description
Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus.
Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative.
Source Price source for regression calculations.
Linear Reg Length Length of the linear regression.
Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave.
Wave Amplitude (amp) Adjusts the height/thickness of the wave.
Bull/Bear Color Colors for bullish/bearish waves.
Base Transparency Base opacity level; modified dynamically by trend strength.
📈 Bullish Timing Recognition Examples
Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure.
waveTop expands above price, signaling early trend expansion.
State flips to 1, often marking a trend restart or early reversal phase.
A steadily rising wave height suggests sustained bullish momentum.
📉 Bearish Timing Recognition Examples
Wave shifts into red tones, showing bearish dominance.
waveBot expands below price, indicating rising downside volatility.
State stays at -1 while intensity increases, signaling entry into strong downtrend conditions.
A shift from weak → strong bearish intensity can provide short-entry timing cues.
🧪 Recommended Usage
Use as a core component in trend-following systems
Adjust position size based on wave thickness (trend strength)
Combine with RSI/MACD to reduce false signals during overbought/oversold zones
Sudden wave expansion during volatility increases helps detect trend acceleration
In sideways markets, frequent state = 0 readings help avoid low-probability trades
🔒 Important Notes
As a trend-based indicator, it may misread choppy/ranging markets
Because of smoothing, signals may appear slightly delayed
Extreme news volatility can temporarily distort trend clarity
CSP Institutional Filter PRO This indicator evaluates whether a ticker qualifies for a high-probability Cash-Secured Put (CSP) based on an institutional options-selling framework. It checks RSI, momentum, support levels, ATR-based risk, IVR, DTE, and earnings timing to determine if the setup meets either the Standard CSP Module (30–45 DTE) or the Pre-Earnings CSP Module (7–21 days before earnings). The script visually marks valid setups, highlights risk zones, and provides an on-chart diagnostic summary.
Kai GoNoGo 2mKai GoNoGo 2m is a multi-factor trend confirmation system designed for fast intraday trading on the 2-minute chart.
It combines EMAs, MACD, RSI and ADX through a weighted scoring model to generate clear Go / NoGo conditions for both CALL (long) and PUT (short) setups.
The indicator paints the candles with pure colors to show the current strength of the trend:
Strong Go (Bright Blue): Full bullish alignment across EMAs, momentum and trend strength.
Weak Go (Light Blue): Bullish structure but with softer momentum.
Weak NoGo (Light Pink): Bearish structure starting to develop.
Strong NoGo (Bright Pink): Full bearish alignment across all components.
Neutral (Gray): No trend, compression or transition phase.
Components included:
EMA Trend Structure (9/21/50/100/200)
MACD Momentum (12-26-9)
RSI Confirmation (14)
ADX Trend Strength Filter via DMI (14,14)
Scoring system inspired by the original GoNoGo concept, improved for speed-based trading.
Designed for:
Scalping, 0DTE options, FAST trend continuation entries, and momentum confirmation on QQQ, SPY, NQ, ES and high-beta names.
This version uses pure colors (no gradients) for maximum clarity when trading fast charts.
Grok/Claude Quantum Signal Pro * Grok/Claude X Series*Grok/Claude Quantum Signal Pro
This is a TradingView indicator focused on catching momentum reversals at price extremes, with a sophisticated divergence detection system as its standout feature. The "Quantum" branding is marketing flair — under the hood, it's a well-structured combination of momentum oscillators, volatility bands, and divergence analysis working together to identify high-probability turning points.
Core Philosophy
The indicator asks: "Is price at an extreme level where momentum is exhausted, and is there evidence that a reversal or continuation is likely?"
It approaches this by requiring multiple confirming factors before generating a signal. Price must be at a band extreme, momentum indicators must be at extreme readings, and the market must be trending (not choppy). Optionally, it can also require RSI divergence and volume confirmation.
The Dynamic Envelope Bands
The foundation is an adaptive channel built around a moving average (EMA or SMA, user's choice). The bands extend above and below this centerline using ATR (Average True Range) multiplied by a dynamic factor.
What makes these bands "adaptive" is that the multiplier adjusts based on ADX — when trends are stronger, the bands widen to accommodate larger directional moves. In weaker trend environments, the bands stay tighter. This helps the bands stay relevant across different market conditions rather than being too loose in quiet markets or too tight during volatile trends.
The centerline itself is color-coded based on its slope: green when rising, red when falling, yellow when flat. This gives immediate visual feedback on short-term directional bias.
The Multi-Layer Filter System
Signals must pass through several filters before being displayed. Here's what each filter does:
FilterWhat It ChecksDefault StateADX TrendingIs ADX above threshold (20)? Avoids signals in choppy, directionless marketsRequired (always on)RSI ExtremesIs RSI oversold (<30) for buys, overbought (>70) for sells?Required (always on)Fisher TransformIs Fisher below -2.0 for buys, above +2.0 for sells? Confirms momentum exhaustionRequired (always on)Trend AlignmentIs price above/below the trend EMA in the right direction?Optional (off by default)Volume SurgeIs current volume significantly above average?Optional (off by default)DivergenceIs there an active RSI divergence pattern?Optional (off by default)
The Fisher Transform
The Fisher Transform is a lesser-known oscillator that converts price into a Gaussian normal distribution, making extreme values much more pronounced. When Fisher readings hit +2.0 or -2.0, it indicates statistically significant momentum exhaustion. By requiring both RSI and Fisher to be at extremes simultaneously, the indicator filters out many false signals that would occur using just one oscillator.
The Detrended Price Oscillator (DPO)
The indicator also calculates DPO, which removes the trend component from price to show where current price sits relative to a historical average. This is displayed in the info panel as a percentage — positive values mean price is extended above its typical level, negative values mean it's extended below. This helps gauge how "stretched" price is from its mean.
RSI Divergence Detection — The Core Feature
This is where the indicator really shines. It detects both regular divergences (reversal signals) and hidden divergences (continuation signals).
Regular Divergences
Regular divergences suggest potential reversals:
Regular Bullish Divergence: Price makes a lower low, but RSI makes a higher low. This indicates that despite price falling further, selling momentum is actually weakening — a potential bottom signal. These are marked with cyan/light blue solid lines on the chart.
Regular Bearish Divergence: Price makes a higher high, but RSI makes a lower high. Despite price rising further, buying momentum is weakening — a potential top signal. Also marked with cyan solid lines.
Hidden Divergences
Hidden divergences suggest trend continuation (often overlooked by traders):
Hidden Bullish Divergence: Price makes a higher low, but RSI makes a lower low. The uptrend is healthy (higher lows in price), but RSI dipped lower, creating a "hidden" bullish setup that often precedes another leg up. Marked with purple dashed lines.
Hidden Bearish Divergence: Price makes a lower high, but RSI makes a higher high. The downtrend structure is intact, but RSI bounced higher, suggesting another leg down is coming. Also marked with purple dashed lines.
The divergence detection uses pivot points (local highs and lows) to identify the comparison points. Users can adjust the pivot lookback (how many bars to use for pivot identification) and the maximum lookback window for finding divergence pairs.
Signal Generation Logic
A buy signal fires when all these conditions align:
Market is trending (ADX above threshold)
RSI is in oversold territory (below 30)
Fisher Transform is oversold (below -2.0)
Plus any optional filters that are enabled
A sell signal requires the mirror conditions: trending market, overbought RSI (above 70), and overbought Fisher (above +2.0).
There's also a cooldown mechanism requiring at least 5 bars between signals to prevent clustering.
Visual Elements
The indicator provides layered visual information:
Adaptive bands with color-coded centerline (green/red/yellow based on slope)
Cloud fill between bands, colored by trend direction
Signal arrows (triangles) at entry points
Price labels showing exact entry price at each signal
Divergence lines connecting the pivot points that form the divergence pattern
Divergence labels ("REG BULL", "HID BEAR", etc.) with tooltips explaining what each pattern means
Info panel showing current status of all indicators and any active divergences
The Info Panel
The top-right panel displays real-time status for all the indicator components. Each row is color-coded to show whether that factor is currently bullish, bearish, or neutral. The last two rows specifically track whether regular and hidden divergences are currently active, making it easy to see at a glance if a divergence pattern has recently formed.
Alert System
The indicator includes a comprehensive alert system covering not just buy/sell signals, but also "setup building" conditions (when RSI and Fisher are at extremes but ADX hasn't confirmed yet), market regime changes (trending to ranging and vice versa), and individual divergence detections for all four types.
Summary
This indicator is designed for traders who want to catch reversals at price extremes with multiple layers of confirmation. Its strength lies in the divergence detection system, which identifies both potential reversals and trend continuation setups. The modular filter system lets users dial in their preferred level of strictness — from the default configuration that requires just the core filters, to a highly selective mode requiring trend alignment, volume confirmation, and divergence all at once. It's best suited for swing trading or identifying key turning points on higher timeframes.
HD Trades📊 ICT Confluence Toolkit (FVG, OB, SMT)
This All-in-One indicator is designed for Smart Money Concepts (SMC) traders, providing visual confirmation and signaling for three critical Inner Circle Trader (ICT) tools directly on your chart: Fair Value Gaps (FVG), Order Blocks (OB), and Smart Money Technique (SMT) Divergence.
It eliminates the need to load multiple indicators, streamlining your analysis for high-probability setups.
🔑 Key Features
1. Fair Value Gaps (FVG)
Automatic Detection: Instantly highlights bullish (buy-side) and bearish (sell-side) imbalances using the standard three-candle pattern.
Real-Time Mitigation: Gaps are drawn until price trades into the FVG zone, at which point the indicator automatically "mitigates" and removes the box, ensuring your chart stays clean.
2. Order Blocks (OB)
Impulse-Based Logic: Identifies valid Order Blocks (the last opposing candle) confirmed by a strong, structure-breaking impulse move, quantified using an Average True Range (ATR) multiplier for dynamic sensitivity.
Mitigation Tracking: Bullish OBs are tracked until broken below the low, and Bearish OBs until broken above the high, distinguishing between active supply/demand zones.
3. SMT Divergence (Smart Money Technique)
Multi-Asset Comparison: Utilizes the Pine Script request.security() function to compare the swing structure of the current chart against a correlated asset (e.g., EURUSD vs. GBPUSD, or ES vs. NQ).
Signal Labels: Plots clear 🐂 SMT (Bullish) or 🐻 SMT (Bearish) labels directly on the chart when a divergence in market extremes is detected, signaling a potential reversal or continuation based on internal market weakness.
⚙️ Customization
All three components are toggleable and feature customizable colors and lookback periods, allowing you to fine-tune the indicator to your specific trading strategy and preferred timeframes.
Crucial Setup: For SMT Divergence to function, you must enter a correlated symbol (e.g., NQ1!, ES1!, or a related Forex pair) in the indicator settings.
EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy
## 📊 Overview
**Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols.
The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions.
## 🎯 Core Algorithm
### Triple EMA System
The strategy employs a three-layer EMA system to identify trend direction and strength:
- **Fast EMA (12)**: Quick response to price changes
- **Slow EMA (26)**: Confirmation of trend direction
- **Trend EMA (100)**: Overall market bias filter
Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend.
### Multi-Signal Confirmation (8 Signal Types)
The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position:
1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal)
2. **MACD Cross** - MACD line crossing signal line (momentum confirmation)
3. **RSI Reversal** - RSI bouncing from oversold/overbought zones
4. **Price Action** - Strong bullish/bearish candles (>60% of range)
5. **Volume Spike** - Above-average volume confirmation
6. **Breakout** - Price breaking 20-period high/low with volume
7. **Pullback to EMA** - Trend continuation after healthy retracement
8. **Bollinger Bounce** - Price bouncing from BB bands
This multi-signal approach significantly reduces false signals and improves win rate.
## 💰 Risk Management
### Position Sizing
- Default: 20-25% of equity per trade
- Adjustable based on risk tolerance
- Smaller positions recommended for leveraged trading
### Stop Loss & Take Profit
- **Stop Loss**: 2.0% (tight control of risk)
- **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio)
- Both levels are fixed at entry to avoid emotional decisions
### Trailing Stop System
- Activates after 1.8% profit
- Trails at 1.3% below current price
- Locks in profits during extended trends
- Automatically adjusts as price moves in your favor
### Maximum Hold Time
- 36-48 hours maximum (configurable)
- Designed to minimize funding rate costs on futures
- Forces position closure to avoid excessive exposure
- Helps maintain capital velocity
## 📈 Key Features
### Trend Filters
- **ADX Filter**: Ensures sufficient trend strength (threshold: 20)
- **EMA Alignment**: All three EMAs must confirm trend direction
- **RSI Boundaries**: Avoids extreme overbought/oversold entries
### Volume Analysis
- Volume must exceed 20-period moving average
- Configurable multiplier (default: 1.0x)
- Helps identify institutional participation
### Automatic Exit Conditions
1. Take Profit target reached
2. Stop Loss triggered
3. Trailing stop activated
4. Trend reversal (EMA cross in opposite direction)
5. Maximum hold time exceeded
## 🎮 Recommended Settings
### For Spot Trading (Conservative)
```
Position Size: 15-20%
Stop Loss: 2.5%
Take Profit: 6.0%
Max Hold: 72 hours
Leverage: 1x
```
### For Futures 3-5x Leverage (Balanced)
```
Position Size: 12-15%
Stop Loss: 2.0%
Take Profit: 5.5%
Max Hold: 36 hours
Trailing: Active
```
### For Aggressive Trading 5-10x (High Risk)
```
Position Size: 8-12%
Stop Loss: 1.5%
Take Profit: 4.5%
Max Hold: 24 hours
ADX Filter: Disabled
```
## 📊 Performance Metrics
### Backtested Results (BTC/USDT 1H, 2 years)
- **Total Return**: ~19% (spot) / ~75% (5x leverage)*
- **Total Trades**: 240-300
- **Win Rate**: 49-52%
- **Profit Factor**: 1.25-1.50
- **Max Drawdown**: ~18-22%
- **Average Trade**: 0.5-3 days
*Leverage results exclude funding rates and real-world slippage
### Optimal Timeframes
- **1 Hour**: Best for active trading (recommended)
- **4 Hour**: More stable, fewer signals
- **15 Min**: High frequency (requires monitoring)
### Best Performing Assets
- BTC/USDT (most tested)
- ETH/USDT
- Major altcoins with good liquidity
- Not recommended for low-cap or illiquid pairs
## ⚙️ How to Use
1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart
2. **Adjust Settings**: Configure risk parameters based on your preference
3. **Review Signals**: Green = Long, Red = Short, labels show signal count
4. **Monitor Performance**: Check strategy tester for detailed statistics
5. **Optimize**: Use strategy optimization to find best parameters for your market
## 🎨 Visual Indicators
The strategy provides clear visual feedback:
- **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend)
- **BUY/SELL Labels**: Show entry points with signal count
- **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades
- **Background Color**: Light green (long), light red (short) when in position
- **Info Panel**: Shows current trend, RSI, ADX, and volume status
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational purposes only
- Past performance does not guarantee future results
- Cryptocurrency trading involves substantial risk
- Only trade with capital you can afford to lose
- Always use proper position sizing and risk management
### Limitations
- Performs poorly in sideways/choppy markets
- Requires sufficient liquidity for best execution
- Backtests do not include:
- Real-world slippage (especially during volatility)
- Funding rates (for perpetual futures)
- Exchange downtime or connection issues
- Emotional trading decisions
### For Futures Trading
If using this strategy on futures with leverage:
- Reduce position size proportionally to leverage
- Account for funding rates (~0.01% per 8h)
- Set max hold time to minimize funding costs
- Use lower leverage (3-5x max recommended)
- Monitor liquidation price carefully
## 🔧 Customization
All parameters are fully customizable:
- EMA periods (fast/slow/trend)
- MACD settings (12/26/9)
- RSI levels (30/70)
- Stop Loss / Take Profit percentages
- Trailing stop activation and offset
- Volume multiplier
- ADX threshold
- Maximum hold time
## 📚 Strategy Logic
The strategy follows this decision tree:
```
1. Check Trend Direction (EMA alignment)
↓
2. Scan for Entry Signals (8 types)
↓
3. Confirm with Filters (ADX, Volume, RSI)
↓
4. Enter Position with Fixed SL/TP
↓
5. Monitor for Exit Conditions:
- TP Hit → Close with profit
- SL Hit → Close with loss
- Trailing Active → Follow price
- Trend Reversal → Close position
- Max Time → Force close
```
## 🎓 Best Practices
1. **Start Conservative**: Use smaller position sizes initially
2. **Track Performance**: Monitor actual vs backtested results
3. **Optimize Regularly**: Market conditions change, adapt parameters
4. **Combine with Analysis**: Don't rely solely on automated signals
5. **Manage Emotions**: Stick to the system, avoid manual overrides
6. **Paper Trade First**: Test on demo before risking real capital
## 📞 Support & Updates
This strategy is actively maintained and updated based on:
- Market condition changes
- User feedback and suggestions
- Performance optimization
- Bug fixes and improvements
## 🏆 Conclusion
Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends.
The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach.
**Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions.
---
*Version: 1.0*
*Last Updated: November 2025*
*Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)*
*Recommended Capital: $5,000+ for optimal position sizing*
Distance Dashboard (50DMA / 52W High / 20DMA)Distance Dashboard – Summary
The Distance Dashboard indicator provides a quick snapshot of where price is positioned relative to three key reference points:
Distance of current HIGH from the 50-day moving average (50DMA)
Helps gauge how extended price is above or below medium-term trend support.
Distance of current LOW from the 52-week HIGH
Shows how far price has pulled back from long-term highs.
Distance of current HIGH from the 20-day moving average (20DMA)
Measures short-term extension and potential overbought/overextended behaviour.
The indicator displays these values in a clean, movable table directly on the price chart.
It does not affect chart scaling and is designed for quick visual assessment of trend extension and relative strength.
TheStrat Failed 2 + 2 Continuation FTFC AlignmentTheStrat “Failed 2 + FTFC Alignment” spots a specific reversal/continuation pattern and layers on higher-timeframe confirmation so newer traders can focus on clean, high-probability setups.
WHAT IT LOOKS FOR
- A Failed 2 bar (price breaks the prior high/low but closes back through its open).
• Failed 2D (bullish): price takes out the previous low but finishes green.
• Failed 2U (bearish): price takes out the previous high but finishes red.
- The very next bar must be a true “2” continuation in the opposite direction (2U after a Failed 2D or 2D after a Failed 2U). This is the classic “2-2 reversal/continuation” from TheStrat playbook.
WHY IT MATTERS
When a failed 2 immediately resolves into a clean 2, it signals that buyers or sellers have seized control. These moves often become momentum pushes, especially if the broader timeframes agree.
HIGHER-TIMEFRAME FILTER
- Checks Monthly, Weekly, and 3-Day opens in real time.
- Bull signals only pass when all three are above their opens (full timeframe continuity up).
- Bear signals only pass when all three are below their opens (full timeframe continuity down).
WHAT YOU GET
- Optional labels that mark Failed 2 bars and the confirmed 2-2 signals.
- A compact “FTFC” icon on the exact bar where the continuation qualifies.
- Toggleable intrabar and bar-close alerts (select “Any alert() function call” for real-time alerts).
- A mini panel showing Monthly/Weekly/3-Day arrows so you can verify FTFC at a glance.
- Settings to require the continuation candle to be the same color as the failed bar for extra confirmation.
HOW TO USE
1. Add the script to your chart and confirm the panel arrows are aligned when icons appear.
2. Turn on the bar-close alert conditions for confirmed signals, or enable intrabar alerts for early warnings.
3. Combine the signal with your entry/stop rules (e.g., trigger on break of the signal bar and use the prior swing for risk).
This script serves as training wheels for traders learning TheStrat by automatically filtering for high-quality Failed-2 → 2 reversals that align across multiple timeframes.
Fair Value Gaps (FVG)This indicator automatically detects Fair Value Gaps (FVGs) using the classic 3-candle structure (ICT-style).
It is designed for traders who want clean charts and relevant FVGs only, without the usual clutter from past sessions or tiny, meaningless gaps.
Key Features
• Bullish & Bearish FVG detection
Identifies imbalances where price fails to trade efficiently between candles.
• Automatic FVG removal when filled
As soon as price trades back into the gap, the box is deleted in real time – no more outdated zones on the chart.
• Only shows FVGs from the current session
At the start of each new session, all previous FVGs are cleared.
Perfect for intraday traders who only care about today’s liquidity map.
• Flexible minimum gap size filter
Avoid noise by filtering FVGs using one of three modes:
Ticks (based on market tick size)
Percent (relative to current price)
Points (absolute price distance)
• Right-extension option
Keep gaps extended forward in time or limit them to the candles that created them.
Why This Indicator?
Many FVG indicators overwhelm the chart with zones from previous days or tiny imbalances that don’t matter.
This version keeps things clean, meaningful, and real-time accurate, ideal for day traders who rely on market structure and liquidity.
Micha Stokes Buyers Breakout Alert v2I added comments starts with EE , where code modifications are needed
