NQ × ES SMT Panel — Ace v3.5NQ × ES SMT Panel — Ace v3.5 (6-Year Model)
This panel reads the 10:45 → 11:00 ET window on NQ and checks for sweeps of the 10:45 candle with SMT confirmation from ES.
It then shows you direction, quality of the signal, and 6-year follow-through stats.
🕒 Recommended Use
Chart: NQ / MNQ
Timeframe: 15-minute
Session: New York (focus on 10:45 and 11:00 ET)
ES symbol input: default ES1! (can be changed in settings)
The script only “makes decisions” on the 11:00 candle close.
🔍 What the Model Looks For
1. NQ Sweep of 10:45 Candle
Bull Sweep (Long bias)
11:00 low < 10:45 low
11:00 close > 10:45 low
Bear Sweep (Short bias)
11:00 high > 10:45 high
11:00 close < 10:45 high
This means: price took liquidity beyond 10:45, then closed back inside.
2. ES SMT Filter (Confirmation)
Bullish SMT
NQ does a bull sweep (takes the low)
ES does NOT make a lower low vs its own 10:45 low
Bearish SMT
NQ does a bear sweep (takes the high)
ES does NOT make a higher high vs its own 10:45 high
If NQ sweeps but ES doesn’t follow, you have SMT and a stronger signal.
📋 Panel Fields (What You See)
The panel is 4 rows, 1 column:
Header
NQ × ES SMT — Ace v3.5 | | Score:
Status can be:
BULLISH SMT
BEARISH SMT
Bull Sweep
Bear Sweep
No Signal
Sweep Direction
Sweep Direction: LONG ↑
Sweep Direction: SHORT ↓
- when no signal
Follow-Through Text
For SMT:
Bullish → High Odds 60-100 Handle Move
Bearish → High Odds 40-80 Handle Move
For pure sweeps:
Normal Follow-through
For no signal: blank
6-Year Stats Line
Shows how often the move reached 40/60/80 handles in the modeled direction:
Example (Bullish SMT):
SMT Stats (6y): 40h=64%, 60h=51%, 80h=41%
Example (Bearish SMT):
SMT Stats (6y): 40h=58%, 60h=42%, 80h=29%
Sweeps without SMT show Sweep Stats (6y): …
No signal: Stats: n/a
⭐ Score Meaning
5★ → SMT present (A+ setup)
3★ → Clean sweep, no SMT (B setup)
0★ → No valid sweep (NO-GO)
Use the score + stats line to decide if the idea deserves risk today.
📈 How to Trade It (Conceptual)
Wait for 11:00 candle to close.
Check panel:
If BULLISH SMT, 5★ → bias long.
If BEARISH SMT, 5★ → bias short.
If Bull/Bear Sweep, 3★ → optional, lower priority.
If No Signal, 0★ → stand aside.
Use your own execution model for entries:
Look for FVG/OB setups in the direction the panel confirms.
Targets can be based on your handle objectives (e.g., 40–80 handles) and intraday structure.
⚠️ Important Notes
Panel is a bias and stats tool, not an auto-entry system.
Works best on regular trading days (avoid major news spikes if you choose).
All stats are based on a 6-year historical lookback on NQ vs ES in this exact 10:45→11:00 structure.
Cicli
BAY_PIVOT S/R(4 Full Lines + ALL Labels)//@version=5
indicator("BAY_PIVOT S/R(4 Full Lines + ALL Labels)", overlay=true, max_labels_count=500, max_lines_count=500)
// ────────────────────── TOGGLES ──────────────────────
showPivot = input.bool(true, "Show Pivot (Full Line + Label)")
showTarget = input.bool(true, "Show Target (Full Line + Label)")
showLast = input.bool(true, "Show Last Close (Full Line + Label)")
showPrevClose = input.bool(true, "Show Previous Close (Full Line + Label)")
useBarchartLast = input.bool(true, "Use Barchart 'Last' (Settlement Price)")
showR1R2R3 = input.bool(true, "Show R1 • R2 • R3")
showS1S2S3 = input.bool(true, "Show S1 • S2 • S3")
showStdDev = input.bool(true, "Show ±1σ ±2σ ±3σ")
showFib4W = input.bool(true, "Show 4-Week Fibs")
showFib13W = input.bool(true, "Show 13-Week Fibs")
showMonthHL = input.bool(true, "Show 1M High / Low")
showEntry1 = input.bool(false, "Show Manual Entry 1")
showEntry2 = input.bool(false, "Show Manual Entry 2")
entry1 = input.float(0.0, "Manual Entry 1", step=0.25)
entry2 = input.float(0.0, "Manual Entry 2", step=0.25)
stdLen = input.int(20, "StdDev Length", minval=1)
fib4wBars = input.int(20, "4W Fib Lookback")
fib13wBars = input.int(65, "13W Fib Lookback")
// ────────────────────── DAILY CALCULATIONS ──────────────────────
high_y = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
low_y = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
close_y = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on)
pivot = (high_y + low_y + close_y) / 3
r1 = pivot + 0.382 * (high_y - low_y)
r2 = pivot + 0.618 * (high_y - low_y)
r3 = pivot + (high_y - low_y)
s1 = pivot - 0.382 * (high_y - low_y)
s2 = pivot - 0.618 * (high_y - low_y)
s3 = pivot - (high_y - low_y)
prevClose = close_y
last = useBarchartLast ? request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_off) : close
target = pivot + (pivot - prevClose)
// StdDev + Fibs + Monthly (unchanged)
basis = ta.sma(close, stdLen)
dev = ta.stdev(close, stdLen)
stdRes1 = basis + dev
stdRes2 = basis + dev*2
stdRes3 = basis + dev*3
stdSup1 = basis - dev
stdSup2 = basis - dev*2
stdSup3 = basis - dev*3
high4w = ta.highest(high, fib4wBars)
low4w = ta.lowest(low, fib4wBars)
fib382_4w = high4w - (high4w - low4w) * 0.382
fib50_4w = high4w - (high4w - low4w) * 0.500
high13w = ta.highest(high, fib13wBars)
low13w = ta.lowest(low, fib13wBars)
fib382_13w_high = high13w - (high13w - low13w) * 0.382
fib50_13w = high13w - (high13w - low13w) * 0.500
fib382_13w_low = low13w + (high13w - low13w) * 0.382
monthHigh = ta.highest(high, 30)
monthLow = ta.lowest(low, 30)
// ────────────────────── COLORS ──────────────────────
colRed = color.rgb(255,0,0)
colLime = color.rgb(0,255,0)
colYellow = color.rgb(255,255,0)
colOrange = color.rgb(255,165,0)
colWhite = color.rgb(255,255,255)
colGray = color.rgb(128,128,128)
colMagenta = color.rgb(255,0,255)
colPink = color.rgb(233,30,99)
colCyan = color.rgb(0,188,212)
colBlue = color.rgb(0,122,255)
colPurple = color.rgb(128,0,128)
colRed50 = color.new(colRed,50)
colGreen50 = color.new(colLime,50)
// ────────────────────── 4 KEY FULL LINES ──────────────────────
plot(showPivot ? pivot : na, title="PIVOT", color=colYellow, linewidth=3, style=plot.style_linebr)
plot(showTarget ? target : na, title="TARGET", color=colOrange, linewidth=2, style=plot.style_linebr)
plot(showLast ? last : na, title="LAST", color=colWhite, linewidth=2, style=plot.style_linebr)
plot(showPrevClose ? prevClose : na, title="PREV CLOSE",color=colGray, linewidth=1, style=plot.style_linebr)
// ────────────────────── LABELS FOR ALL 4 KEY LEVELS (SAME STYLE AS OTHERS) ──────────────────────
f_label(price, txt, bgColor, txtColor) =>
if barstate.islast and not na(price)
label.new(bar_index, price, txt, style=label.style_label_left, color=bgColor, textcolor=txtColor, size=size.small)
if barstate.islast
showPivot ? f_label(pivot, "PIVOT " + str.tostring(pivot, "#.##"), colYellow, color.black) : na
showTarget ? f_label(target, "TARGET " + str.tostring(target, "#.##"), colOrange, color.white) : na
showLast ? f_label(last, "LAST " + str.tostring(last, "#.##"), colWhite, color.black) : na
showPrevClose ? f_label(prevClose, "PREV CLOSE "+ str.tostring(prevClose, "#.##"), colGray, color.white) : na
// ────────────────────── OTHER LEVELS – line stops at label ──────────────────────
f_level(p, txt, tc, lc, w=1) =>
if barstate.islast and not na(p)
lbl = label.new(bar_index, p, txt, style=label.style_label_left, color=lc, textcolor=tc, size=size.small)
line.new(bar_index-400, p, label.get_x(lbl), p, extend=extend.none, color=lc, width=w)
if barstate.islast
if showR1R2R3
f_level(r1, "R1 " + str.tostring(r1, "#.##"), color.white, colRed)
f_level(r2, "R2 " + str.tostring(r2, "#.##"), color.white, colRed)
f_level(r3, "R3 " + str.tostring(r3, "#.##"), color.white, colRed, 2)
if showS1S2S3
f_level(s1, "S1 " + str.tostring(s1, "#.##"), color.black, colLime)
f_level(s2, "S2 " + str.tostring(s2, "#.##"), color.black, colLime)
f_level(s3, "S3 " + str.tostring(s3, "#.##"), color.black, colLime, 2)
if showStdDev
f_level(stdRes1, "+1σ " + str.tostring(stdRes1, "#.##"), color.white, colPink)
f_level(stdRes2, "+2σ " + str.tostring(stdRes2, "#.##"), color.white, colPink)
f_level(stdRes3, "+3σ " + str.tostring(stdRes3, "#.##"), color.white, colPink, 2)
f_level(stdSup1, "-1σ " + str.tostring(stdSup1, "#.##"), color.white, colCyan)
f_level(stdSup2, "-2σ " + str.tostring(stdSup2, "#.##"), color.white, colCyan)
f_level(stdSup3, "-3σ " + str.tostring(stdSup3, "#.##"), color.white, colCyan, 2)
if showFib4W
f_level(fib382_4w, "38.2% 4W " + str.tostring(fib382_4w, "#.##"), color.white, colMagenta)
f_level(fib50_4w, "50% 4W " + str.tostring(fib50_4w, "#.##"), color.white, colMagenta)
if showFib13W
f_level(fib382_13w_high, "38.2% 13W High " + str.tostring(fib382_13w_high, "#.##"), color.white, colMagenta)
f_level(fib50_13w, "50% 13W " + str.tostring(fib50_13w, "#.##"), color.white, colMagenta)
f_level(fib382_13w_low, "38.2% 13W Low " + str.tostring(fib382_13w_low, "#.##"), color.white, colMagenta)
if showMonthHL
f_level(monthHigh, "1M HIGH " + str.tostring(monthHigh, "#.##"), color.white, colRed50, 2)
f_level(monthLow, "1M LOW " + str.tostring(monthLow, "#.##"), color.white, colGreen50, 2)
// Manual entries
plot(showEntry1 and entry1 > 0 ? entry1 : na, "Entry 1", color=colBlue, linewidth=2, style=plot.style_linebr)
plot(showEntry2 and entry2 > 0 ? entry2 : na, "Entry 2", color=colPurple, linewidth=2, style=plot.style_linebr)
// Background
bgcolor(close > pivot ? color.new(color.blue, 95) : color.new(color.red, 95))
MAX TRADEMAX TRADE is an advanced intraday trading indicator designed for gold and forex pairs. It uses a dynamic Fibonacci-based trend line, multi-timeframe EMA, RSI and ATR filters to avoid bad entries. Every signal comes with automatic TP/SL levels, break-even logic and a live stats panel showing win rate, profit, number of trades and streaks.
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI)
The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through.
How to Use the Indicator (Practical Workflow)
1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles)
This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk.
Yellow Candle — Entry Bias
Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold.
Operational signal: instrument enters “monitor for entry” state.
Green Candle — Accumulation State
Fund-trend > bullbearline.
Operational signal: trend integrity improving; pullbacks are generally buyable.
White Candle — Distribution / Cooling
Fund-trend weakening but not broken.
Operational signal: tighten stops; momentum deteriorating.
Red Candle — Exit / Trend Failure
Fund-trend < bullbearline.
Operational signal: momentum regime invalidated; avoid long risk.
Blue Candle — Weak Rebound
A temporary uptick within broader weakness.
Operational signal: do not mistake this for a durable reversal.
2. Validate alignment with Flow Chips (Retail / Trader / Institutional)
These three flow columns (MCDX layers) answer: who is actually participating?
Retailer Flow (Locked Chips – Green)
High values imply retail conviction, often late-cycle.
Good for confirming trend strength, not timing entries.
Trader Zone Flow (Float Chips – Yellow)
When this spikes, volatility and tactical positioning increase.
Signal: strong short-term engagement, supports breakout/trend continuation.
Institutional Flow (Profitable Chips – Red/Pink)
This is the “true north” of momentum.
Rising values = institutions controlling price discovery.
Signal: long setups have statistical tailwind.
The operational guidance is straightforward:
Institutional Flow > Trader Flow > Retail Flow
is the healthiest configuration for sustainable upside momentum.
3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns
The vertical Donchian stack illustrates trend regime in a time-compressed format.
Bright Blue/Cyan
Structure expanding upward (breakout cluster).
Dark Purple/Red
Structure breaking downward (breakdown cluster).
Mixed Columns
Transitional or indecisive conditions.
Interpret it as a “momentum backdrop”:
If Donchian columns and Banker Flow candles disagree, avoid entries.
4. Consult the Chop Zone Strip Before Committing Capital
The Chop Zone uses EMA angle to determine whether the market is trending or congested.
Greens/Blues → Trend phase (favorable environment for continuation trades).
Yellows/Oranges/Reds → High noise probability; expect false signals.
Operationally:
Never enter breakout setups during yellow/orange/red chop.
5. Final Decision Framework (Checklist)
A long setup typically requires:
Green or Yellow Banker Flow Candle
Institutional Flow rising
Donchian columns in bullish regime colors
Chop Zone in a trend color (not red/yellow/orange)
A short setup is the exact inverse.
Recommended Use Cases
Momentum trading
Swing position building
Institutional-flow confirmation
Trend-filtering before deploying breakout systems
Screening for strong/weak symbols in multi-asset rotation strategies
MAX TRADE ZONA)A simple session level indicator for XAUUSD on the M5 timeframe. It takes the high and low of the 00:45 candle (Asia/Tashkent time), draws infinite horizontal lines from that candle, and keeps only the most recent 7 days. Useful for intraday support and resistance levels.
Kịch bản của tôi//@version=6
indicator(title="Relative Strength Index", shorttitle="Gấu Trọc RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand1 = hline(98, "RSI Upper Band1", color=#787B86)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
rsiLowerBand2 = hline(14, "RSI Lower Band2", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish",
linewidth = 2,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish Label",
text = " Bull ",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish",
linewidth = 2,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish Label",
text = " Bear ",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
FPT - DCA ModelFPT - DCA Model is a simple but powerful tool to backtest a weekly “buy the dip” DCA plan with dynamic position sizing and partial profit-taking.
🔹 Core Idea
- Invest a fixed amount every week (on Friday closes)
- Buy more aggressively when price trades at a discount from its 52-week high
- Take partial profits when price stretches too far above the daily EMA50
- Track the performance of your DCA plan vs a simple buy-and-hold from the same start date
⚙ How it works
1. Weekly DCA (on Daily timeframe)
- On each Friday after the Start Date:
- Add the “Weekly contribution” to the cash pool.
- If the close is below the “Discount from 52W high” level:
→ FULL DCA: use the full weekly contribution + an extra booster from your stash (up to “Max extra stash used on dip”).
→ Marked on the chart with a small green triangle under the bar.
- Otherwise:
→ HALF DCA: invest only 50% of the weekly contribution and keep the other 50% as stash (uninvested cash).
→ Marked with a small blue triangle under the bar.
2. 52-Week High Discount Logic
- The script computes the 52-week high as the highest daily high of the last 252 trading days.
- The “discount level” is: 52W high × (1 – Discount%).
- When price is at or below this level, dips are treated as buying opportunities and the model allocates more.
3. Selling Logic (Partial Take Profit)
- When the close is above the daily EMA50 by the selected percentage:
→ Sell the given “Sell portion of qty (%)” of your current holdings.
→ Marked with a small red triangle above the bar.
- This behaves like a gradual profit-taking system: if price stays extended above EMA50, multiple partial sells can occur over time.
📊 Panel (top-right)
The panel summarizes the state of your DCA plan:
- Weeks: number of DCA weeks since Start Date
- Total deposit: total money contributed (sum of all weekly contributions)
- Shares qty: total number of shares accumulated
- Avg price: volume-weighted average entry price
- Shares value: current market value of all shares (qty × close)
- Cash: uninvested cash (including saved stash)
- Total equity: Shares value + Cash
- DCA % PnL: performance of the DCA plan vs total deposits
- Stock % since start: performance of the underlying asset since the Start Date
✅ Recommended Use
- Timeframe: Daily (the DCA engine is designed to run on daily bars and Friday closes).
- Works best on stocks, ETFs or indices where a 52-week high is a meaningful reference.
- You can tune:
- Weekly contribution
- Discount from 52W high
- Booster amount
- EMA50 extension threshold and sell portion
⚠ Notes & Disclaimer
- This script is a backtesting and educational tool. It does not place real orders.
- Past performance does not guarantee future results.
- Always combine DCA and risk management with your own research and judgment.
Built by FPT (Funded Pips Trading) for long-term, rules-based DCA planning.
📊 Volume Tension & Net Imbalance📊 Volume Tension & Net Imbalance (With Table + MultiLang + Alerts)
//
This indicator measures bullish vs. bearish pressure using volume-based tension and net imbalance.
It identifies accumulation zones, displays real-time market strength, trend direction, and triggers alerts on buildup entries.
Fully customizable table size, colors, and bilingual support (English/Russian).
PyTai Top/Bottom Finder v0.1When the average StochRSI line rises high (near or above 80), it often signals the asset's price is approaching the peak or end of an uptrend, as momentum becomes overextended across multiple timeframes—aligning with your view on run endings. Conversely, a low average (near or below 20) suggests exhaustion in a downtrend, hinting at potential bottoms. The cluster columns amplify this: wide green bars (high positive netScore) show broad oversold agreement for bullish reversals, while red bars indicate overbought consensus for bearish turns. However, StochRSI can remain extreme in strong trends, so combine with price action or volume to avoid false signals; backtest on your assets to refine thresholds, as shorter smoothing (e.g., 1-3) increases sensitivity but noise.
Trend Follow Line Point📌 Trend Follow Line Point
The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools.
It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator.
This tool is designed for:
Trend Following
Swing Structure Analysis
Volatility-Based Entry & Exit
Market Strength Evaluation
📊 Component Explanation
🔹 1. Swing High / Swing Low Detection
Based on the user-defined sensitivity (swgLen):
A Swing High forms when the current high exceeds the previous swgLen highs.
A Swing Low forms when the current low falls below the previous swgLen lows.
🔹 2. Swing-Based Structure Lines
Connect Swing Highs → Structural visualization
Connect Swing Lows → Structural visualization
These lines reveal the underlying market structure without repainting or disappearing unexpectedly.
🔹 3. Dynamic ATR + Volume Weighting
ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure.
🔹 4. Enhanced SuperTrend Calculation
Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity.
🔹 5. Trend Color Mapping
Up Trend → User-selected color
Down Trend → User-selected color
Visual trend direction and strength can be identified immediately.
🧭 How to Use
When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings.
Use these lines to evaluate support/resistance breaks and overall structural direction.
Manage risk with volatility guidance:
Higher ATR (volume-weighted) → wider trend spacing → increased risk
Lower ATR → tighter spacing → reduced risk
This helps with position sizing, entry timing, and exit decisions.
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Santo Graal RápidoSanto Graal Lento — Indicator Description (English)
Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries.
The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads.
Use Santo Graal Lento to:
Identify trend direction with improved stability
Spot high-probability pullback entries
Filter out short-term noise
Support decision-making in trending markets
Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
Santo Graal LentoSanto Graal Lento — Indicator Description (English)
Santo Graal Lento is a trend-following indicator designed to identify high-probability market movements by combining price structure, volatility behavior, and dynamic support/resistance zones. Instead of reacting quickly to short-term noise, this tool focuses on slower, more reliable signals, helping traders stay aligned with the dominant trend while avoiding premature entries.
The indicator highlights optimal “Holy Grail–style” setups by detecting pullbacks within strong trends, offering visual cues for potential continuation points. It also adapts to market conditions by smoothing signals and reducing false alerts, making it suitable for swing traders and position traders looking for cleaner, more consistent market reads.
Use Santo Graal Lento to:
Identify trend direction with improved stability
Spot high-probability pullback entries
Filter out short-term noise
Support decision-making in trending markets
Whether you’re trading Forex, crypto, indices, or stocks, Santo Graal Lento helps you focus on quality setups and maintain discipline through clearer trend visualization.
Santo Graal Tendência🌟 Holy Grail Trend – Clarity in the Flow of the Market
Introducing Holy Grail Trend, a smart trend-following indicator designed for traders who want to ride strong moves while avoiding noise and false breakouts. By blending adaptive cycle analysis, smoothed momentum, and dynamic support/resistance logic, this tool highlights the true underlying trend—not just price noise.
Whether you're a swing trader, position trader, or intraday momentum seeker, Holy Grail Trend helps you stay aligned with the market’s dominant direction while filtering out choppy, sideways phases.
🔍 Key Features:
✅ Clean, color-coded trend visualization (bullish / bearish)
✅ Adaptive sensitivity based on current market cycle length
✅ Dynamic trend bands that adjust to volatility and price structure
✅ Minimal lag and no repainting — reliable in real-time
✅ Works across all assets and timeframes (forex, stocks, crypto, indices)
✅ Lightweight and chart-friendly
💡 How to Use:
Go long when the trend turns green and price is above the dynamic band
Go short when the trend turns red and price is below the band
Stay flat or reduce exposure during neutral (gray) or conflicting phases
The “Holy Grail” isn’t about chasing every move—it’s about trading with the tide, not against it. Combine this indicator with your risk management rules, and you’ll have a powerful ally in your trading journey.
Volume detection trigger📌 Indicator Overview ** Capture a Moment of Market Attention **
This indicator combines abnormal volume (volume explosion) and price reversal patterns to capture a “signal-flare moment.”
In other words, it is designed to detect moments when strong activity enters the market and a trend reversal or the start of a major uptrend/downtrend becomes likely.
✅ Strengths (Short Summary)
Detects meaningful volume spikes rather than random volume increases
Includes bottoming patterns such as long lower wicks & liquidity sweep lows
Filters with EMA alignment / RSI / Stochastic to avoid overheated signals → catches early entries rather than tops
4H/Daily timing filter to detect signals only during high-liquidity market windows
Designed as a rare-signal model for high reliability, not a noisy alert tool
➡ Summary: “The indicator fires only when volume, price structure, momentum, and timing align perfectly at the same moment.”
🎯 How to Use
A signal does not mean you should instantly buy or sell.
Treat it as a sign that “the market’s attention is now concentrated here.”
After a signal appears, check:
Whether price stays above EMA21
Whether there is room to the previous high (upside space)
Whether a minor pullback or retest finds support
🔍 Practical Applications
Use Case Description
Swing Trading Detecting early-stage trend reversals
Day Trading Spotting volume-driven shift points
🧠 Core Summary
📌 “A signal-flare indicator that automatically detects the exact moment when real volume hits the market.”
→ Not a tool to predict direction
→ A tool to recognize timing and concentration zones where major movement is likely to form
⚠ Important Note
A surge in volume or a positive delta does NOT necessarily mean institutions are buying.
The “institution/whale inflow” in the indicator is a model-based estimation, and it cannot identify buyers and sellers with 100% certainty.
Volume, delta, cumulative flow, and VWAP breakout may all imply “strong participation,”
but in some cases, the dominant side may still be sellers, such as:
High volume at a peak (distribution)
Heavy selling into strength
Long upper wick after high delta
Price failing to advance despite massive orders
Santo Graal SinaisHoly Grail Signals – The Balance Between Precision and Simplicity
Welcome to Holy Grail Signals, an indicator crafted for traders seeking clarity amid market volatility. Inspired by principles of cyclic analysis, adaptive relative strength, and intelligent noise filtering, this script merges robust logic with intuitive visualization to deliver highly reliable entry and exit signals.
🔍 Key Features:
✅ Clear visual signals (buy and sell) based on cycle inflection points and momentum
✅ Dynamic bands that adapt to volatility and recent price behavior
✅ Anti-noise filters that reduce false triggers in ranging markets
✅ Compatible with multiple assets and timeframes — from scalping to swing trading
✅ Lightweight and optimized to avoid overloading your chart
The “Holy Grail” isn’t a promise of easy profits—it’s the result of rigorous testing, sound market logic, and the understanding that the best strategy is the one you truly comprehend and can execute with discipline.
Santo Graal Força RelativaThe RSI Indicator (RSI) represents a qualitative leap in the evolution of classic oscillators. While the traditional RSI has already been established for decades as one of the most reliable tools...
LJ Parsons Adjustable expanding MRT Fibpapers.ssrn.com
Market Resonance Theory (MRT) reinterprets financial markets as structured multiplicative, recursive systems rather than linear, dollar-based constructs. By mapping price growth as a logarithmic lattice of intervals, MRT identifies the deep structural cycles underlying long-term market behaviour. The model draws inspiration from the proportional relationships found in musical resonance, specifically the equal temperament system, revealing that markets expand through recurring octaves of compounded growth. This framework reframes volatility, not as noise, but as part of a larger self-organising structure.
VB Finviz-style MTF Screener📊 VB Multi-Timeframe Stock Screener (Daily + 4H + 1H)
A structured, high-signal stock screener that blends Daily fundamentals, 4H trend confirmation, and 1H entry timing to surface strong trading opportunities with institutional discipline.
🟦 1. Daily Screener — Core Stock Selection
All fundamental and structural filters run strictly on Daily data for maximum stability and signal quality.
Daily filters include:
📈 Average Volume & Relative Volume
💲 Minimum Price Threshold
📊 Beta vs SPY
🏢 Market Cap (Billions)
🔥 ATR Liquidity Filter
🧱 Float Requirements
📘 Price Above Daily SMA50
🚀 Minimum Gap-Up Condition
This layer acts like a Finviz-style engine, identifying stocks worth trading before momentum or timing is considered.
🟩 2. 4H Trend Confirmation — Momentum Check
Once a stock passes the Daily screen, the 4-hour timeframe validates trend strength:
🔼 Price above 4H MA
📈 MA pointing upward
This removes structurally good stocks that are not in a healthy trend.
🟧 3. 1H Entry Alignment — Timing Layer
The Hourly timeframe refines near-term timing:
🔼 Price above 1H MA
📉 Short-term upward movement detected
This step ensures the stock isn’t just good on paper—it’s moving now.
🧪 MTF Debug Table (Your Transparency Engine)
A live diagnostic table shows:
All Daily values
All 4H checks
All 1H checks
Exact PASS/FAIL per condition
Perfect for tuning thresholds or understanding why a ticker qualifies or fails.
🎯 Who This Screener Is For
Swing traders
Momentum/trend traders
Systematic and rules-based traders
Traders who want clean, multi-timeframe alignment
By combining Daily fundamentals, 4H trend structure, and 1H momentum, this screener filters the market down to the stocks that are strong, aligned, and ready.
LJ Parsons Harmonic Time StampsPurpose of the Script
This script is designed to divide a specific time period on a market chart (from startDate to endDate) into fractional segments based on mathematically significant ratios. It then plots vertical lines at the first candle that occurs at or after each of these fractional timestamps. Each line is labeled according to an interval scheme, as outlined by LJ Parsons
"Structured Multiplicative, Recursive Systems in Financial Markets"
papers.ssrn.com
Providing a symbolic mapping of time fractions
zenodo.org
Start (00) and End (00): Marks the beginning and end of the period.
Intermediate labels (m2, M2, m3, M3, …): Represent divisions of the time period that correspond to specific fractions of the whole.
This creates a visual “resonance map” along the price chart, where the timing of price movements can be compared to mathematically significant points.
Parsons Market Resonance Theory proposes that markets move in patterns that are not random but resonate with underlying mathematical structures, analogous to logarithmic relationships. The key ideas reflected in this script are:
Temporal Fractional Resonance
By marking fractional points of a defined time period, the script highlights potential moments when market activity might “resonate” due to cyclical patterns. These points are analogous to overtones in music—certain times may have stronger market reactions.
Mapping Market Movements to "Just Intonation" Intervals
Assigning Interval labels to fractional timestamps provides a symbolic framework for understanding market behaviour. For example, the midpoint (P5) may correspond to strong market turning points, while minor or major intervals (m3, M6) might correspond to subtler movements.
Identifying Potentially Significant Points in Time
The plotted lines do not predict price direction but rather identify temporal markers where price movements may be more likely to display structured behaviour. Traders or researchers can then study price reactions around these lines for correlations with market resonance patterns.
In essence, the script turns a period of time into a harmonic structure, with each line and label acting like a “note” in the market’s temporal symphony. It’s a tool to visualize and test whether price behaviour aligns with the resonant fractions hypothesized in MRT.
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend.
Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals.
Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate.
VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
RRE OB/LiqSymbol Selection: Added SymbolSelect() to ensure the symbol is available in Market Watch
Lot Size Validation: Checks minimum/maximum lot sizes and step
Fixed TP/SL Calculation: Corrected the formula using tick_size
Order Filling Type: Added ORDER_FILLING_IOC (may need FOK depending on broker)
Price Normalization: Added NormalizeDouble() for proper price formatting
Slippage: Added req.deviation = 10 for market execution
Detailed Logging: Prints all order details and specific error codes
Common Issues to Check:
Check the Expert Log for error messages and retcodes
AutoTrading must be enabled (button in toolbar)
Allow live trading in EA settings
Broker restrictions: Some brokers block EA trading on certain accounts
Market hours: Ensure market is open for the symbol
Order filling mode: Try changing ORDER_FILLING_IOC to
Focus On Work time (Tehran)If you only want to analyze the market during specific working hours and ignore the rest, this indicator is for you. It lets you hide or highlight non-working times on your chart, so you can focus only on the sessions that matter to you.
Just set your start time and end time for the work session.
By default, the time is set to UTC+3:30 (Tehran time), but you can change it to any timezone you like.
