אינדיקטורים ואסטרטגיות
Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)//@version=5
indicator("Day Trading Signals - Ultimate Pro (Dark Neon + Strong BB Cloud)", overlay=true, max_lines_count=500, max_labels_count=500)
// ===== INPUTS =====
ema_fast_len = input.int(9, "Fast EMA Length")
ema_slow_len = input.int(21, "Slow EMA Length")
rsi_len = input.int(12, "RSI Length")
rsi_overbought = input.int(70, "RSI Overbought Level")
rsi_oversold = input.int(30, "RSI Oversold Level")
bb_len = input.int(20, "Bollinger Bands Length")
bb_mult = input.float(2.0, "Bollinger Bands Multiplier")
sr_len = input.int(15, "Pivot Lookback for Support/Resistance")
min_ema_gap = input.float(0.0, "Minimum EMA Gap to Define Trend", step=0.1)
sr_lifespan = input.int(200, "Bars to Keep S/R Lines")
// Display options
show_bb = input.bool(true, "Show Bollinger Bands?")
show_ema = input.bool(true, "Show EMA Lines?")
show_sr = input.bool(true, "Show Support/Resistance Lines?")
show_bg = input.bool(true, "Show Background Trend Color?")
// ===== COLORS (Dark Neon Theme) =====
neon_teal = color.rgb(0, 255, 200)
neon_purple = color.rgb(180, 95, 255)
neon_orange = color.rgb(255, 160, 60)
neon_yellow = color.rgb(255, 235, 90)
neon_red = color.rgb(255, 70, 110)
neon_gray = color.rgb(140, 140, 160)
sr_support_col = color.rgb(0, 190, 140)
sr_resist_col = color.rgb(255, 90, 120)
// ===== INDICATORS =====
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
ema_gap = math.abs(ema_fast - ema_slow)
trend_up = (ema_fast > ema_slow) and (ema_gap > min_ema_gap)
trend_down = (ema_fast < ema_slow) and (ema_gap > min_ema_gap)
trend_flat = ema_gap <= min_ema_gap
rsi = ta.rsi(close, rsi_len)
bb_mid = ta.sma(close, bb_len)
bb_upper = bb_mid + bb_mult * ta.stdev(close, bb_len)
bb_lower = bb_mid - bb_mult * ta.stdev(close, bb_len)
// ===== SUPPORT / RESISTANCE =====
pivot_high = ta.pivothigh(high, sr_len, sr_len)
pivot_low = ta.pivotlow(low, sr_len, sr_len)
var line sup_lines = array.new_line()
var line res_lines = array.new_line()
if show_sr and not na(pivot_low)
l = line.new(bar_index - sr_len, pivot_low, bar_index, pivot_low, color=sr_support_col, width=2, extend=extend.right)
array.push(sup_lines, l)
if show_sr and not na(pivot_high)
l = line.new(bar_index - sr_len, pivot_high, bar_index, pivot_high, color=sr_resist_col, width=2, extend=extend.right)
array.push(res_lines, l)
// Delete old S/R lines
if array.size(sup_lines) > 0
for i = 0 to array.size(sup_lines) - 1
l = array.get(sup_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(sup_lines, i)
break
if array.size(res_lines) > 0
for i = 0 to array.size(res_lines) - 1
l = array.get(res_lines, i)
if bar_index - line.get_x2(l) > sr_lifespan
line.delete(l)
array.remove(res_lines, i)
break
// ===== BUY / SELL CONDITIONS =====
buy_cond = trend_up and not trend_flat and ta.crossover(ema_fast, ema_slow) and rsi < rsi_oversold and close < bb_lower
sell_cond = trend_down and not trend_flat and ta.crossunder(ema_fast, ema_slow) and rsi > rsi_overbought and close > bb_upper
// ===== SIGNAL PLOTS =====
plotshape(buy_cond, title="Buy Signal", location=location.belowbar, color=neon_teal, style=shape.labelup, text="BUY", size=size.small)
plotshape(sell_cond, title="Sell Signal", location=location.abovebar, color=neon_red, style=shape.labeldown, text="SELL", size=size.small)
// ===== EMA LINES =====
plot(show_ema ? ema_fast : na, color=neon_orange, title="EMA Fast", linewidth=2)
plot(show_ema ? ema_slow : na, color=neon_purple, title="EMA Slow", linewidth=2)
// ===== STRONG BOLLINGER BAND CLOUD =====
plot_bb_upper = plot(show_bb ? bb_upper : na, color=color.new(neon_yellow, 20), title="BB Upper")
plot_bb_lower = plot(show_bb ? bb_lower : na, color=color.new(neon_gray, 20), title="BB Lower")
plot(bb_mid, color=color.new(neon_gray, 50), title="BB Mid")
// More visible BB cloud (stronger contrast)
bb_cloud_color = trend_up ? color.new(neon_teal, 40) : trend_down ? color.new(neon_red, 40) : color.new(neon_gray, 70)
fill(plot_bb_upper, plot_bb_lower, color=show_bb ? bb_cloud_color : na, title="BB Cloud")
// ===== BACKGROUND COLOR (TREND ZONES) =====
bgcolor(show_bg ? (trend_up ? color.new(neon_teal, 92) : trend_down ? color.new(neon_red, 92) : color.new(neon_gray, 94)) : na)
// ===== ALERTS =====
alertcondition(buy_cond, title="Buy Signal", message="Buy signal triggered. Check chart.")
alertcondition(sell_cond, title="Sell Signal", message="Sell signal triggered. Check chart.")
45 Seconds SMA Using multi-second, multi-timeframe Simple Moving Averages (SMA) — from 5 seconds up to 45 seconds with periods ranging from 30 to 900 candles — allows for an ultra-granular view of market microstructure.
This setup helps to:
Capture momentum shifts and micro-trends that occur before they appear on standard 1-minute or higher charts.
Identify accumulation and distribution zones in near real-time, as each second-based timeframe smooths out only its own volatility pocket.
Observe SMA alignment and divergence patterns to detect the earliest trend confirmations or exhaustion points.
Build a hierarchical structure of market flow, where short SMAs show reaction speed and longer SMAs show sustained intent.
Essentially, this template acts as a microscopic trend-tracking system, bridging the gap between tick data and minute-based analysis — invaluable for scalpers and high-frequency decision models.
MOMO Exhaustion Short Signal Strategy v6 alexh1166Prints Short Signals for Exhausted Momentum stocks primed for reversals
Adaptive Trend Compression (Arjo)Adaptive Trend Mapper (ATM) is a multi-purpose trend and momentum tool designed to help traders study trend strength, identify compression phases, and observe shifts in buying and selling pressure. It helps identify emerging breakouts early
The script combines RSI-based momentum, ADX strength, bull/bear pressure indices, and a squeeze-style compression model. It also includes a smoothed trend line based on a SuperSmoother filter and an optional EMA-50 overlay for trend context.
Key Features
Bull & Bear Pressure Index
Derived using ADX and an inverse-RSI approach to highlight directional strength in a normalized scale.
Squeeze & Compression Detection
Detects periods where directional pressure converges while ADX remains weak, often marking low-volatility phases.
Adaptive Smoothing Engine
Bull/Bear indices can be smoothed using SMA/EMA/WMA/RMA, allowing traders to reduce noise when required.
SuperSmoother Trend Line
A filtered trend curve helps highlight short-term directional bias.
Includes color-coding based on trend slope and a wide underlying band for visual clarity.
EMA-50 Option
Standard trend context tool for higher-level direction.
Step-Based Scaling (Optional)
Bull and Bear indices can be rounded to custom step intervals, making them easier to visualize on smaller charts.
How to Use
Rising Bull Index indicates increasing upward pressure .
Rising Bear Index indicates increasing downward pressure .
A squeeze zone marks compression phases where directional conviction is low.
A breakout from a squeeze often aligns with the start of new strong directional movement.
The SuperSmoother trend line helps track micro-trend shifts, while EMA-50 provides macro context.
Disclaimer
This tool is intended for educational and analytical purposes.
It is not a buy/sell signal generator and doesn’t make predictions.
All trading decisions should be based on your own judgment and risk management.
Happy Trading (Arjo)
FVG – (auto close + age) GR V1.0FVG – Fair Value Gaps (auto close + age counter)
Short Description
Automatically detects Fair Value Gaps (FVGs) on the current timeframe, keeps them open until price fully fills the gap or a maximum bar age is reached, and shows how many candles have passed since each FVG was created.
Full Description
This indicator automatically finds and visualizes Fair Value Gaps (FVGs) using the classic 3-candle ICT logic on any timeframe.
It works on whatever timeframe you apply it to (M1, M5, H1, H4, etc.) and adapts to the current chart.
FVG detection logic
The script uses a 3-candle pattern:
Bullish FVG
Condition:
low > high
Gap zone:
Lower boundary: high
Upper boundary: low
Bearish FVG
Condition:
high < low
Gap zone:
Lower boundary: high
Upper boundary: low
Each detected FVG is drawn as a colored box (green for bullish, red for bearish in this version, but you can adjust colors in the inputs).
Auto-close rules
An FVG remains on the chart until one of the following happens:
Full fill / mitigation
A bullish FVG closes when any candle’s low goes down to or below the lower boundary of the gap.
A bearish FVG closes when any candle’s high goes up to or above the upper boundary of the gap.
Maximum bar age reached
Each FVG has a maximum lifetime measured in candles.
When the number of candles since its creation reaches the configured maximum (default: 200 bars), the FVG is automatically removed even if it has not been fully filled.
This keeps the chart cleaner and prevents very old gaps from cluttering the view.
Age counter (labels inside the boxes)
Inside every FVG box there is a small label that:
Shows how many bars have passed since the FVG was created.
Moves together with the right edge of the box and stays vertically centered in the gap.
This makes it easy to distinguish fresh gaps from older ones and prioritize which zones you want to pay attention to.
Inputs
FVG color – Main fill color for all FVG boxes.
Show bullish FVGs – Turn bullish gaps on/off.
Show bearish FVGs – Turn bearish gaps on/off.
Max bar age – Maximum number of candles an FVG is allowed to stay on the chart before it is removed.
Usage
Works on any symbol and any timeframe.
Can be combined with your own ICT / SMC concepts, order blocks, session ranges, market structure, etc.
You can also choose to only display bullish or only bearish FVGs depending on your directional bias.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Always do your own research and use proper risk management when trading.
3 Fib Strategy – Automatic Trend Fib Extension ConfluenceWhat This Script Does
✔ Auto-detects swing highs and lows
Using pivot detection, adjustable by the user.
✔ Builds 3 independent trend-based Fib extension projections
Measures:
Wave 1 → Wave 2 → Wave 3
Wave 2 → Wave 3 → Wave 4
Wave 3 → Wave 4 → Wave 5
✔ Calculates the exact fib levels:
1.0 (1:1 extension)
1.236 extension
1.382 extension
✔ Detects confluence zones
When all 3 fib measurement sets overlap at the same target:
Green label = 1:1 confluence
Orange label = 1.236–1.382 confluence
✔ Draws long dotted lines across the chart
So you can visually track confluence zones.
SMC BOS/CHoCH + Auto Fib (5m/any TF) durane//@version=6
indicator('SMC BOS/CHoCH + Auto Fib (5m/any TF)', overlay = true, max_lines_count = 200, max_labels_count = 200)
// --------- Inputs ----------
left = input.int(3, 'Pivot Left', minval = 1)
right = input.int(3, 'Pivot Right', minval = 1)
minSwingSize = input.float(0.0, 'Min swing size (price units, 0 = disabled)', step = 0.1)
fib_levels = input.string('0.0,0.236,0.382,0.5,0.618,0.786,1.0', 'Fibonacci levels (comma separated)')
show_labels = input.bool(true, 'Show BOS/CHoCH labels')
lookbackHighLow = input.int(200, 'Lookback for structure (bars)')
// Parse fib levels
strs = str.split(fib_levels, ',')
var array fibs = array.new_float()
if barstate.isfirst
for s in strs
array.push(fibs, str.tonumber(str.trim(s)))
// --------- Find pivot highs / lows ----------
pHigh = ta.pivothigh(high, left, right)
pLow = ta.pivotlow(low, left, right)
// store last confirmed swings
var float lastSwingHighPrice = na
var int lastSwingHighBar = na
var float lastSwingLowPrice = na
var int lastSwingLowBar = na
if not na(pHigh)
// check min size
if minSwingSize == 0 or pHigh - nz(lastSwingLowPrice, pHigh) >= minSwingSize
lastSwingHighPrice := pHigh
lastSwingHighBar := bar_index - right
lastSwingHighBar
if not na(pLow)
if minSwingSize == 0 or nz(lastSwingHighPrice, pLow) - pLow >= minSwingSize
lastSwingLowPrice := pLow
lastSwingLowBar := bar_index - right
lastSwingLowBar
// --------- Detect BOS & CHoCH (simple robust logic) ----------
var int lastBOSdir = 0 // 1 = bullish BOS (price broke above), -1 = bearish BOS
var int lastBOSbar = na
var float lastBOSprice = na
// Look for price closes beyond last structural swings within lookback
// Bullish BOS: close > recent swing high
condBullBOS = not na(lastSwingHighPrice) and close > lastSwingHighPrice and bar_index - lastSwingHighBar <= lookbackHighLow
// Bearish BOS: close < recent swing low
condBearBOS = not na(lastSwingLowPrice) and close < lastSwingLowPrice and bar_index - lastSwingLowBar <= lookbackHighLow
bosTriggered = false
chochTriggered = false
if condBullBOS
bosTriggered := true
if lastBOSdir != 1
// if previous BOS direction was -1, this is CHoCH (change of character)
chochTriggered := lastBOSdir == -1
chochTriggered
lastBOSdir := 1
lastBOSbar := bar_index
lastBOSprice := close
lastBOSprice
if condBearBOS
bosTriggered := true
if lastBOSdir != -1
chochTriggered := lastBOSdir == 1
chochTriggered
lastBOSdir := -1
lastBOSbar := bar_index
lastBOSprice := close
lastBOSprice
// --------- Plot labels for BOS / CHoCH ----------
if bosTriggered and show_labels
if chochTriggered
label.new(bar_index, high, text = lastBOSdir == 1 ? 'CHoCH ↑' : 'CHoCH ↓', style = label.style_label_up, color = color.new(color.orange, 0), textcolor = color.white, yloc = yloc.abovebar)
else
label.new(bar_index, high, text = lastBOSdir == 1 ? 'BOS ↑' : 'BOS ↓', style = label.style_label_left, color = lastBOSdir == 1 ? color.green : color.red, textcolor = color.white, yloc = yloc.abovebar)
// --------- Auto Fibonacci drawing ----------
var array fib_lines = array.new_line()
var array fib_labels = array.new_label()
var int lastFibId = na
// Function to clear previous fibs
f_clear() =>
if array.size(fib_lines) > 0
for i = 0 to array.size(fib_lines) - 1
line.delete(array.get(fib_lines, i))
if array.size(fib_labels) > 0
for i = 0 to array.size(fib_labels) - 1
label.delete(array.get(fib_labels, i))
array.clear(fib_lines)
array.clear(fib_labels)
// Decide anchors for fib: if lastBOSdir==1 (bullish) anchor from lastSwingLow -> lastSwingHigh
// if lastBOSdir==-1 (bearish) anchor from lastSwingHigh -> lastSwingLow
if lastBOSdir == 1 and not na(lastSwingLowPrice) and not na(lastSwingHighPrice)
// bullish fib: low -> high
startPrice = lastSwingLowPrice
endPrice = lastSwingHighPrice
// draw
f_clear()
for i = 0 to array.size(fibs) - 1 by 1
lvl = array.get(fibs, i)
priceLevel = startPrice + (endPrice - startPrice) * lvl
ln = line.new(x1 = lastSwingLowBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.green, 60), width = 1, style = line.style_solid)
array.push(fib_lines, ln)
lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.green, 80), textcolor = color.white, yloc = yloc.price)
array.push(fib_labels, lab)
if lastBOSdir == -1 and not na(lastSwingHighPrice) and not na(lastSwingLowPrice)
// bearish fib: high -> low
startPrice = lastSwingHighPrice
endPrice = lastSwingLowPrice
f_clear()
for i = 0 to array.size(fibs) - 1 by 1
lvl = array.get(fibs, i)
priceLevel = startPrice + (endPrice - startPrice) * lvl
ln = line.new(x1 = lastSwingHighBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.red, 60), width = 1, style = line.style_solid)
array.push(fib_lines, ln)
lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.red, 80), textcolor = color.white, yloc = yloc.price)
array.push(fib_labels, lab)
// --------- Optional: plot lastSwing points ----------
plotshape(not na(lastSwingHighPrice) ? lastSwingHighPrice : na, title = 'LastSwingHigh', location = location.absolute, style = shape.triangledown, size = size.tiny, color = color.red, offset = 0)
plotshape(not na(lastSwingLowPrice) ? lastSwingLowPrice : na, title = 'LastSwingLow', location = location.absolute, style = shape.triangleup, size = size.tiny, color = color.green, offset = 0)
// --------- Alerts ----------
alertcondition(bosTriggered and lastBOSdir == 1, title = 'Bullish BOS', message = 'Bullish BOS detected on {{ticker}} @ {{close}}')
alertcondition(bosTriggered and lastBOSdir == -1, title = 'Bearish BOS', message = 'Bearish BOS detected on {{ticker}} @ {{close}}')
alertcondition(chochTriggered, title = 'CHoCH Detected', message = 'CHoCH detected on {{ticker}} @ {{close}}')
// End
Daily vs Monthly VWAP CrossoverDaily vs Monthly VWAP Crossover Strategy
Description:
Overview This indicator is a trend-following tool designed to identify significant shifts in market sentiment by comparing short-term institutional value against the longer-term trend. It utilizes Anchored VWAP (Volume Weighted Average Price) logic to track the average price paid by traders for the current Day versus the current Month.
How It Works Unlike standard Moving Averages which lag significantly, VWAP factors in volume, making it a preferred benchmark for institutional traders.
Daily VWAP (Fast Line): Anchors at the start of the current trading day. It represents the intraday equilibrium price.
Monthly VWAP (Slow Line): Anchors at the start of the current month. It represents the broader value consensus for the month.
The indicator calculates these values cumulatively on every tick/bar, regardless of the chart timeframe selected (e.g., 30m, 1h).
Trading Logic & Signals The strategy is based on the concept of value migration:
BUY Signal (Bullish Reversal): Triggers when the Daily VWAP crosses ABOVE the Monthly VWAP. This suggests that short-term buying pressure and volume are pushing the price higher than the monthly average cost basis, indicating a potential breakout or trend continuation.
SELL Signal (Bearish Reversal): Triggers when the Daily VWAP crosses BELOW the Monthly VWAP. This indicates that intraday weakness has dragged the price below the month's average value, signaling potential downside momentum.
Features
Visual Crossovers: Clearly marked "B" (Buy) and "S" (Sell) labels on the chart.
Trend Background: The background color changes subtly (Green/Red) to indicate the current dominance of the Daily vs. Monthly trend.
Alerts: Fully compatible with TradingView alerts for real-time notifications on crossovers.
Best Practices
Timeframe: Designed optimally for intraday charts such as 30-minute or 1-hour timeframes.
Confirmation: As with any VWAP strategy, this works best when combined with price action analysis (e.g., breakout of key resistance) rather than used blindly in choppy, sideways markets.
Rotation SentinelROTATION SENTINEL v1.1 — OVERVIEW
Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins.
Each row outputs Green / Yellow / Red, and the system produces a 0–10 Rotation Score plus a final regime:
🔴 NO ROTATION (0–4)
🟡 ROTATION STARTING (5–6)
🟢 ALTSEASON (7–10)
Use on Daily timeframe for best accuracy.
KEY SIGNALS
1️⃣ BTC.D ex-stables
Shows true BTC vs alt strength.
🟢 Falling = capital rotating into alts.
🔴 Rising = alts bleeding. (Master switch.)
2️⃣ OTHERS.D
Broad altcoin dominance.
🟢 Rising = early alt strength.
🔴 Falling = weak participation.
3️⃣ ETH/BTC
Rotation ignition.
🟢 ETH outperforming = rotation can start.
🔴 ETH lagging = altseason impossible.
4️⃣ STABLE.C.D
Crypto “fear index.”
🟢 Falling = risk-on environment.
🔴 Rising = capital hiding in stables.
5️⃣ USDT.D
Real-time risk positioning.
🟢 Falling = capital deploying.
🔴 Rising = defensive.
6️⃣ TOTAL3 (HTF Trend)
Structural alt market health.
🟢 Above SMA + rising = bullish structure.
🔴 Below SMA + falling = systematic weakness.
7️⃣ TOTAL3 / TOTAL2
Depth of rotation.
🟢 Mid/small caps outperforming = deep rotation.
🔴 Only large caps moving = shallow cycle.
8️⃣ Risk Ratio (OTHERS.D / STABLE.C.D)
Pure risk appetite.
🟢 Alts gaining on stables = risk-on.
9️⃣ OTHERS/BTC
Alt value vs BTC.
🟢 Rising = alts outperforming BTC.
🔟 Liquidation Heatmap (Manual)
Update from Hyblock/Coinalyze.
🟢 Liquidity above = upside easier.
ALTSEASON TRIGGER
Fires only when all 6 core conditions turn GREEN:
BTC.D ex-stables
OTHERS.D
ETH/BTC
STABLE.C.D
TOTAL3 structure
Rotation Score ≥ threshold (default 7)
BEST PRACTICES
Use Daily timeframe (macro rotation, not intraday noise)
Score < 5 → defensive / selective trades
Score 5–6 → early rotation window
Score ≥ 7 → confirmed altseason regime
Let alerts notify you; no need to manually monitor
INCLUDED ALERTS
🚨 ALTSEASON TRIGGERED
⚠️ Rotation Score Crossed Threshold
📈 ETH/BTC Rotation Clock Activated
🔥 OTHERS.D Breaking Higher
BTC Macro Heatmap (Fed Cuts & Hikes)🔴 1. Red line – Fed Funds Rate (policy trend)
This line tells you what stage of the monetary cycle we’re in.
Rising red line = the Fed is hiking → liquidity is tightening → money leaves risk assets like BTC.
Flat = pause → markets start pricing in the next move (often sideways BTC).
Falling = easing / cutting → liquidity returns → bullish environment builds.
The rate of change matters more than the level. When the slope turns down, capital starts seeking yield again — BTC benefits first because it’s the most volatile asset.
💚 2. Dim green zones – detected cuts
These are data-based easing events pulled directly from FRED.
They show when the actual effective rate began moving down, not necessarily the exact meeting day.
Think of them as the Fed’s “foot off the brake” — that’s when risk markets begin responding.
🟩 3. Bright green lines – official FOMC cuts
These are the real policy shifts — the Fed formally changed direction.
After these appear, BTC historically transitions from accumulation → markup phase.
Look at 2020: the bright green lines came right before BTC’s full reversal.
You’re seeing the same thing now with the 2025 lines — early-stage liquidity return.
🟠 4. Orange line – DXY (US Dollar Index)
DXY is your “risk-off” gauge.
When DXY rises, global investors flock to dollars → BTC usually weakens.
When DXY peaks and starts dropping, it means risk appetite is coming back → BTC rallies.
BTC and DXY are inversely correlated about 70–80% of the time.
Watch for DXY lower highs after rate cuts — that’s your macro confirmation of a BTC-friendly environment.
🟦 5. Aqua line – BTC (normalized)
You’re not looking for the price itself here, but its shape relative to DXY and the Fed line.
When BTC curls up as the red line flattens and DXY rolls over → that’s historically the start of a major bull phase.
BTC tends to bottom before the first cut and explode once DXY decisively breaks down.
🧠 Putting it together
Here’s the rhythm this chart shows over and over:
Fed hikes (red line rising) → BTC weakens, DXY climbs.
Fed pauses (red line flat) → BTC stops falling, DXY tops.
Fed cuts (dim + bright green) → DXY turns down → BTC begins long recovery → bull cycle starts.
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE v3)💪 How to Actually Use This (The MMXM Way)
1️⃣ Check the Status Before ANY trade
If it says NO TRADE → Do not fight it.
Your psychology stays clean.
2️⃣ If TRADE (1M NO TRADE – 15M CHOP)
Avoid:
1M SIBI/OB
1M BOS/CHOCH
1M SMT
1M Silver Bullet windows
Use only higher-timeframe breaks.
3️⃣ If ALL THREE are NORMAL → Full Go Mode
Every tool is unlocked:
1M microstructure
1M FVG snipes
Killzones
Silver Bullet
SMT timing
MMXM purge setups
This is where your best trades come from.
4️⃣ If 30M is CHOP
Sit tight.
It’s a trap day or compression box.
This one filter alone will save you:
FOMO losses
False expansion traps
Microstructure whipsaws
News fakeouts
Reversal cliffs
Algo snapbacks
🧠 Why This Indicator Works
No indicators.
No RSI.
No Bollinger.
No volume bullshit.
Just structure, time, and compression — exactly how the algorithm trades volatility.
When this tool says NO TRADE, it is telling you:
“This is NOT the moment the algorithm will expand.”
And that’s the whole game.
🔥 Summary
Condition Meaning Action
30M = CHOP 30M box active No trading at all
2+ TF CHOP HTF compression No trading
15M CHOP Micro compression No 1M entries
All NORMAL Expansion conditions Full Go Mode
flotschgee gorge PDH/LBased on "PDHL Sweep + C123 (by Veronica)" but it shows the respective PDH/L for every day of the last week
VOSC+RSI Pro-Trend V22 (Bollinger Integration) [PersianDev]this is an extention of andicator volume osc and rsi
Turtle System 1 (20/10) + N-Stop + MTF Table V7.2🐢 Description: Turtle System 1 (20/10) IndicatorThis indicator implements the original trading signals of the Turtle Trading System 1 based on the classic Donchian Channels. It incorporates a historically correct, volatility-based Trailing Stop (N-Stop) and a Multi-Timeframe (MTF) status dashboard. The script is written in Pine Script v6, optimized for performance and reliability.📊 Core Logic and ParametersThe system is a pure trend-following model, utilizing the more widely known, conservative parameters of the Turtle System 1:FunctionParameterValueDescriptionEntry$\text{Donchian Breakout}$$\mathbf{20}$Buy/Sell upon breaking the 20-day High/Low.Exit (Turtle)$\text{Donchian Breakout}$$\mathbf{10}$Close the position upon breaking the 10-day Low/High.Volatility$\mathbf{N}$ (ATR Period)$\mathbf{20}$Calculation of market volatility using the Average True Range (ATR).Stop-LossMultiplier$\mathbf{2.0} BER:SETS the initial and Trailing Stop at $\mathbf{2N}$.🛠️ Key Technical Features1. Original Turtle Trailing Stop (Section 4)The stop-loss mechanism is implemented with the historically accurate Turtle Trailing Logic. The stop is not aggressively tied to the current candle's low/high, which often causes premature exits. Instead, the stop only trails in the direction of the trend, maximizing the previous stop price against the new calculated $\text{Close} \pm 2N$:$$\text{New Trailing Stop} = \text{max}(\text{Previous Stop}, \text{Close} \pm (2 \times N))$$2. Reliable Multi-Timeframe (MTF) Status (Section 6)The indicator features a robust MTF status table.Purpose: It calculates and persistently stores the Turtle System 1 status (LONG=1, SHORT=-1, FLAT=0) for various timeframes (1H, 4H, 8H, 1D, and 1W).Method: It uses global var int variables combined with request.security(), ensuring the status is accurately maintained and updated across different bars and timeframes, providing a reliable higher-timeframe context.3. VisualizationsChannels: The 20-period (Entry) and 10-period (Exit) Donchian Channels are plotted.Stop Line: The dynamic $\mathbf{2N}$ Trailing Stop is visible as a distinct line.Signals: plotshape markers indicate Entry and Exit.MTF Table: A clean, color-coded status summary is displayed in the upper right corner.
SWUltimate Sniper: SMT + AO + Money Flow
Overview This indicator is a comprehensive trading system designed to identify high-probability reversal points by combining three powerful concepts: Smart Money Techniques (SMT), Awesome Oscillator (AO) Momentum Divergences, and Macro Money Flow Analysis. It aims to filter out false signals by requiring confirmation from multiple technical factors before generating a signal.
Key Features & Logic
1. SMT Divergence (Smart Money Tool) The core of this indicator compares the current asset's price structure (Highs and Lows) against a benchmark symbol (Default: BTCUSDT).
Bullish SMT: When Bitcoin makes a Lower Low (LL), but the Altcoin makes a Higher Low (HL). This suggests underlying strength and accumulation in the Altcoin despite BTC's weakness.
Bearish SMT: When Bitcoin makes a Higher High (HH), but the Altcoin makes a Lower High (LH). This suggests weakness and distribution in the Altcoin despite BTC's strength.
2. Awesome Oscillator (AO) Confirmation To prevent premature entries based solely on price action, the indicator checks for momentum divergence on the Awesome Oscillator.
If the "AO Filter" option is enabled in settings, a signal (triangle) will only appear if both SMT Divergence and AO Divergence occur simultaneously (or within the same pivot window). This significantly increases the reliability of the setup.
3. Money Flow Dashboard A dashboard in the top-right corner provides real-time macro context to ensure you are trading with the trend.
USDT.D (Tether Dominance): Monitors whether capital is entering (Bullish) or leaving (Bearish) the crypto market.
BTC.D (Bitcoin Dominance): Monitors whether capital is flowing into Bitcoin or rotating into Altcoins (Altcoin Season).
How to Use
Buy Signal (Green Triangle): Look for a Green Triangle below the bar. Ideally, confirm this with the Dashboard showing "Money Flow: Entering" (Green) and "Trend: Flowing to Alts" (Green).
Sell Signal (Red Triangle): Look for a Red Triangle above the bar.
Dashboard: Use the dashboard as a trend filter. Do not long an Altcoin if USDT.D is spiking (Market Bearish).
Settings
Comparison Symbol: Select the benchmark asset (Default: BTCUSDT).
Pivot Period: Adjust the sensitivity of the divergence detection.
Use AO Filter: Toggle ON/OFF to require Awesome Oscillator confirmation for signals.
Dashboard: Toggle the visibility of the Money Flow panel.
Whale Activity Detector (V20 - Candle-Relative Diamonds)This indicator is to visualize the "footprints" of large institutional traders, often referred to as "whales." By monitoring spikes in trading volume relative to a long-term average, the indicator flags moments when significant capital is entering or exiting the market.
How the Indicator Works (The Logic)
Volume Threshold : It calculates a Moving Average (MA) of the recent volume (default 20 bars). This average is then multiplied by a Spike Multiplier (default 3.0x) to create a dynamic threshold.
Spike Detection : Any price bar whose total volume exceeds this threshold is flagged as a potential "Whale Activity" bar.
Direction Confirmation : The color of the signal is determined by the price action of that bar (close > open for buying/accumulation, or close < open for selling/distribution).
Day Separators Description:
This script visually separates the trading chart by days of the week. Each day is highlighted with a distinct background color or vertical line, making it easier to analyze daily price patterns and trading activity. Useful for spotting trends, comparing daily performance, or planning strategies based on weekday behavior.
Features:
Divides the chart by weekdays (Monday to Sunday).
Optional background shading or vertical lines for each day.
Customizable colors and line styles for better visibility.
Works on any timeframe.
Use Cases:
Identify patterns or anomalies on specific weekdays.
Track performance trends across the week.
Simplify intraday and daily analysis for more informed trading decisions.
S&P 500 Offense vs. Defense RatioS&P 500 Offense vs. Defense Ratio
Formula: (XLK+XLY+XLC+XLF+XLI) / (XLP+XLU+XLRE+XLV+XLE)
change of offensive sectors vs defensive sectors
