TTM Squeeze v5.1 [JopAlgo]TTM Squeeze v5.1 — compression → expansion, with a directional read
Core idea
This blends Bollinger Bands and Keltner Channels to detect volatility compression (a “squeeze”), then uses a momentum histogram to suggest which way the release may travel.
Squeeze On → BB is inside KC → quiet, pressure building
Squeeze Off → BB exits KC → expansion likely starting
Momentum histogram → direction and pace of the expansion
Read it as: compression → expansion and let momentum tell you up or down.
What you’ll see
Momentum histogram (centered at 0):
Above 0 → bullish tilt
Below 0 → bearish tilt
Rising vs falling bars → acceleration vs deceleration
Zero-line dots colored by squeeze state:
Red at 0 → Squeeze On (BB inside KC)
Green at 0 → Squeeze Off (no compression)
Quick scan → Is the dot red or green? Is the histogram above or below 0? Are the bars growing or shrinking?
How to use it (simple playbook)
1) Detect the setup
Dot turns red → Squeeze On → build your plan at key levels (no trade by itself).
While red, map entry levels and invalidations using your price tools.
2) Trade the release
First green after a red run → Squeeze Off → look for entry with momentum direction:
Histogram above 0 and rising → long bias
Histogram below 0 and falling → short bias
3) Location first (always)
Execute at objective references:
Volume Profile v3.2 → VAH / VAL / POC / LVNs
Anchored VWAP → session / weekly / event anchors
No level → no trade. A squeeze release into a level is better than one mid-range.
4) Confirmation stack (optional but strong)
If you also use CVDv1 → prefer Alignment OK and avoid entries where Absorption is against your side.
Entries, exits, risk
Break + retest (trend release)
Condition → Dot flips green, histogram crosses/expands on the same side of 0, price breaks a mapped level.
Entry → On the first retest/hold of that level after the flip.
Stop → Beyond the level or last swing.
Targets → Next VP node (POC/HVNs) → then trail.
Range edge release (rotation to value)
Condition → Dot flips green at a range boundary (e.g., VAL/VAH), histogram aligns with the break.
Entry → On reclaim/reject confirmation at that boundary.
Invalidation → Quick loss of the boundary and histogram roll against you.
Stand down
Dot green but histogram flat near 0 → noisy release, skip or size down.
Green release into a major opposite level with shrinking bars → take partials early.
Settings that matter (and how to tune)
BB/KC Length (default 21) → the lookback for both envelopes.
Shorter → faster squeezes, more signals. Longer → fewer, larger moves.
BB Multiplier (default 1.0 here)
Higher (e.g., 2.0) → fewer, cleaner squeezes (classic TTM style).
Lower (e.g., 1.0–1.5) → more frequent “tight” squeezes.
KC Multiplier (default 1.5)
Higher → wider KC → easier for BB to sit inside → more squeeze-on periods.
Lower → fewer squeeze-on periods.
Momentum Length (default 20) for the histogram (linreg on close − KC mid):
Shorter → earlier but noisier direction reads.
Longer → steadier but slower.
Practical combos
Classic feel → BB 2.0, KC 1.5, Length 20–21, Momentum 20
Intraday fast → BB 1.5, KC 1.5, Length 14–20, Momentum 14–18
Swing calm → BB 2.0, KC 1.5–1.8, Length 21–34, Momentum 20–30
Pattern cheat sheet
Red cluster → Green + histogram expansion above 0 → upside release → buy the retest of the breakout level → trail.
Red cluster → Green + histogram expansion below 0 → downside release → sell the retest → trail.
Green but histogram crosses back toward 0 quickly → failed release → avoid or scratch.
Multiple red↔green flips near 0 → volatility churn → wait for a clear level break with follow-through.
Best combos (kept simple)
Volume Profile v3.2 → Plan the squeeze while red; trigger on green at VAH/VAL/LVN/POC.
Anchored VWAP → A release that reclaims/rejects an AVWAP with histogram expansion is higher quality.
CVDv1 (optional) → Prefer releases with taker flow; skip if Absorption fights your side.
Common mistakes this helps you avoid
Entering during the red squeeze with no price trigger.
Chasing a green flip mid-range, far from levels.
Ignoring direction when the histogram is below 0 for longs (or above 0 for shorts).
Holding when the histogram shrinks back toward 0 into your target—take profits.
Disclaimer
This indicator and write-up are for education only, not financial advice. Trading carries risk; results vary by market, venue, and settings. Test first, act at defined levels, and manage risk. No guarantees or warranties are provided.
Bande e canali
Midpoint Levels day/week/month/high/low /close//@version=5
indicator("Midpoint Levels + Previous Week Close", overlay=true)
// === Inputs for Day Midpoint ===
showDay = input.bool(true, "Show Day Midpoint")
dayColor = input.color(color.orange, "Day Midpoint Color")
dayWidth = input.int(1, "Day Line Thickness", minval=1, maxval=5)
dayStyleOpt = input.string("Solid", "Day Line Style", options= )
dayStyle = dayStyleOpt == "Dashed" ? line.style_dashed : dayStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
// === Inputs for Week Midpoint ===
showWeek = input.bool(true, "Show Week Midpoint")
weekColor = input.color(color.blue, "Week Midpoint Color")
weekWidth = input.int(1, "Week Line Thickness", minval=1, maxval=5)
weekStyleOpt = input.string("Solid", "Week Line Style", options= )
weekStyle = weekStyleOpt == "Dashed" ? line.style_dashed : weekStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
// === Inputs for Month Midpoint ===
showMonth = input.bool(true, "Show Month Midpoint")
monthColor = input.color(color.purple, "Month Midpoint Color")
monthWidth = input.int(1, "Month Line Thickness", minval=1, maxval=5)
monthStyleOpt = input.string("Solid", "Month Line Style", options= )
monthStyle = monthStyleOpt == "Dashed" ? line.style_dashed : monthStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
// === Inputs for Previous Week Close ===
showWeekClose = input.bool(true, "Show Previous Week Close")
prevWeekCloseColor = input.color(color.red, "Previous Week Close Color")
prevWeekCloseWidth = input.int(1, "Week Close Line Thickness", minval=1, maxval=5)
weekCloseStyleOpt = input.string("Solid", "Week Close Line Style", options= )
weekCloseStyle = weekCloseStyleOpt == "Dashed" ? line.style_dashed : weekCloseStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
// === Fetch Previous Highs, Lows, Closes
prevDayHigh = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
prevDayLow = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
prevWeekHigh = request.security(syminfo.tickerid, "W", high , lookahead=barmerge.lookahead_on)
prevWeekLow = request.security(syminfo.tickerid, "W", low , lookahead=barmerge.lookahead_on)
prevMonthHigh = request.security(syminfo.tickerid, "M", high , lookahead=barmerge.lookahead_on)
prevMonthLow = request.security(syminfo.tickerid, "M", low , lookahead=barmerge.lookahead_on)
prevWeekClose = request.security(syminfo.tickerid, "W", close , lookahead=barmerge.lookahead_on)
// === Calculate Midpoints
dayMid = (prevDayHigh + prevDayLow) / 2
weekMid = (prevWeekHigh + prevWeekLow) / 2
monthMid = (prevMonthHigh + prevMonthLow) / 2
// === Detect new time periods
newDay = ta.change(time("D"))
newWeek = ta.change(time("W"))
newMonth = ta.change(time("M"))
// === Line variables
var line dayLine = na
var line weekLine = na
var line monthLine = na
var line weekCloseLine = na
// === Create/Update Lines Conditionally
if newDay and showDay
if not na(dayLine)
line.delete(dayLine)
dayLine := line.new(bar_index, dayMid, bar_index + 1, dayMid,color=dayColor, width=dayWidth, style=dayStyle, extend=extend.right)
if newWeek
if not na(weekLine)
line.delete(weekLine)
if showWeek
weekLine := line.new(bar_index, weekMid, bar_index + 1, weekMid,color=weekColor, width=weekWidth, style=weekStyle, extend=extend.right)
if not na(weekCloseLine)
line.delete(weekCloseLine)
if showWeekClose
weekCloseLine := line.new(bar_index, prevWeekClose, bar_index + 1, prevWeekClose,color=prevWeekCloseColor, width=prevWeekCloseWidth, style=weekCloseStyle, extend=extend.right)
if newMonth and showMonth
if not na(monthLine)
line.delete(monthLine)
monthLine := line.new(bar_index, monthMid, bar_index + 1, monthMid,color=monthColor, width=monthWidth, style=monthStyle, extend=extend.right)
// okkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
// === Inputs: Previous Day High/Low/Close
showPrevHigh = input.bool(true, "Show Previous Day High")
prevHighColor = input.color(color.green, "Prev Day High Color")
prevHighWidth = input.int(1, "Prev Day High Thickness", minval=1, maxval=5)
prevHighStyleOpt = input.string("Solid", "Prev Day High Style", options= )
prevHighStyle = prevHighStyleOpt == "Dashed" ? line.style_dashed : prevHighStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
showPrevLow = input.bool(true, "Show Previous Day Low")
prevLowColor = input.color(color.maroon, "Prev Day Low Color")
prevLowWidth = input.int(1, "Prev Day Low Thickness", minval=1, maxval=5)
prevLowStyleOpt = input.string("Solid", "Prev Day Low Style", options= )
prevLowStyle = prevLowStyleOpt == "Dashed" ? line.style_dashed : prevLowStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
showPrevClose = input.bool(true, "Show Previous Day Close")
prevCloseColor = input.color(color.navy, "Prev Day Close Color")
prevCloseWidth = input.int(1, "Prev Day Close Thickness", minval=1, maxval=5)
prevCloseStyleOpt = input.string("Solid", "Prev Day Close Style", options= )
prevCloseStyle = prevCloseStyleOpt == "Dashed" ? line.style_dashed : prevCloseStyleOpt == "Dotted" ? line.style_dotted : line.style_solid
prevDayClose = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on)
var line prevHighLine = na
var line prevLowLine = na
var line prevCloseLine = na
// === Previous Day High
if not na(prevHighLine)
line.delete(prevHighLine)
if showPrevHigh
prevHighLine := line.new(bar_index, prevDayHigh, bar_index + 1, prevDayHigh, color=prevHighColor, width=prevHighWidth, style=prevHighStyle, extend=extend.right)
// === Previous Day Low
if not na(prevLowLine)
line.delete(prevLowLine)
if showPrevLow
prevLowLine := line.new(bar_index, prevDayLow, bar_index + 1, prevDayLow,color=prevLowColor, width=prevLowWidth, style=prevLowStyle, extend=extend.right)
// === Previous Day Close
if not na(prevCloseLine)
line.delete(prevCloseLine)
if showPrevClose
prevCloseLine := line.new(bar_index, prevDayClose, bar_index + 1, prevDayClose, color=prevCloseColor, width=prevCloseWidth, style=prevCloseStyle, extend=extend.right)
HM2 - Murrey Math Levels# Murrey Math Indicator - Comprehensive Description
## **What is Murrey Math?**
Murrey Math is a trading system developed by T.H. Murrey that divides price action into 8 equal segments (octaves) based on Gann and geometry principles. It automatically identifies key support and resistance levels where price is likely to react, making it a powerful tool for determining entry/exit points and price targets.
## **How It Works**
The indicator:
1. **Analyzes price history** over a lookback period (default 64-200 bars)
2. **Finds the highest high and lowest low** in that period
3. **Calculates a "fractal"** - a geometric scaling factor based on price magnitude
4. **Creates 8 equal divisions** between key levels, plus 4 overshoot levels (total 13 levels)
5. **Labels each level** from -2/8 to +2/8 with their trading significance
## **The 13 Murrey Math Levels**
### **Core Levels (0/8 to 8/8):**
- ** - Ultimate Support** (Blue)
- Extreme oversold condition
- Strong buying opportunity
- Price rarely breaks below this
- ** - Weak, Stall & Reverse** (Orange)
- Weak support level
- Price often stalls and reverses here
- ** - Pivot/Reverse Level** (Red)
- Major support that can become resistance
- Important reversal zone
- ** - Bottom of Trading Range - BUY Zone** (Green)
- Bottom boundary of normal trading
- **Premium BUY zone** - 40% of trading happens between 3/8 and 5/8
- ** - Major Support/Resistance** (Blue)
- **THE MOST IMPORTANT LEVEL**
- The midpoint - best entry/exit level
- Strong pivot point that price respects
- ** - Top of Trading Range - SELL Zone** (Green)
- Top boundary of normal trading
- **Premium SELL zone**
- ** - Pivot/Reverse Level** (Red)
- Major resistance that can become support
- Important reversal zone
- ** - Weak, Stall & Reverse** (Orange)
- Weak resistance level
- Price often stalls and reverses here
- ** - Ultimate Resistance** (Blue)
- Extreme overbought condition
- Strong selling opportunity
- Price rarely breaks above this
### **Overshoot Levels:**
- ** & ** (Gray) - Extreme downside overshoot zones
- ** & ** (Gray) - Extreme upside overshoot zones
- These indicate extreme moves beyond normal trading ranges
## **Trading Zones (from your diagram)**
1. **Consolidation Trading Area** (0/8 to 3/8)
- Price is in a bearish zone
- Look for BUY opportunities near support levels
2. **Normal Trading Area** (3/8 to 5/8)
- **40% of trading occurs here**
- Price oscillates between these boundaries
- Range-bound trading strategies work best
3. **Premium Trading Area** (5/8 to 8/8)
- Price is in a bullish zone
- Look for SELL opportunities near resistance levels
## **Trading Strategies**
### **Buy Signals:**
- Price bounces off 0/8 (ultimate support)
- Price pulls back to 3/8 in an uptrend
- Price breaks above 4/8 after consolidation
### **Sell Signals:**
- Price rejects at 8/8 (ultimate resistance)
- Price rallies to 5/8 in a downtrend
- Price breaks below 4/8 after consolidation
### **Range Trading:**
- Buy near 3/8, sell near 5/8 when price is ranging
- Use 4/8 as the pivot to determine trend direction
## **Key Advantages**
✅ **Objective levels** - No subjective placement
✅ **Self-adjusting** - Automatically recalculates based on recent price action
✅ **Clear trading zones** - Easy to identify support/resistance
✅ **Works on all timeframes** - From 1-minute to monthly charts
✅ **Combines with other indicators** - Works well with RSI, MACD, etc.
## **Important Notes**
- The indicator is **dynamic** - levels update as new highs/lows form
- **4/8 is the most critical level** - price above = bullish, below = bearish
- When price reaches overshoot levels (±1/8, ±2/8), expect strong reversals
- Works best in trending markets; can give false signals in choppy conditions
This geometric approach to support/resistance has been used by traders for decades and remains popular due to its objective, mathematical nature!
Mitigation Blocks — Lite (ICT) + Arrows + Stats📌 Mitigation Blocks — Lite (ICT-Based) + Arrows
This indicator detects mitigation blocks based on price structure shifts, inspired by ICT (Inner Circle Trader) concepts. It works by identifying strong impulses and highlighting the last opposite candle, forming a mitigation block zone for potential reversal or continuation trades.
🔍 Features:
✅ Automatic detection of bullish and bearish mitigation blocks
🟩 Box visualization with border color change on mitigation (first touch)
📉 ATR-based impulse filtering
📌 Entry arrows on first mitigation (touch)
📊 Autoscale anchors for better chart readability
📈 Real-time HUD info panel
📉 Backtest-friendly design (stable, deterministic logic)
🛠️ How it works:
Detects swing highs/lows using pivot points.
Confirms impulse candles breaking recent structure.
Locates the last opposite candle as the mitigation block.
Displays a block box until price revisits the zone.
On the first touch (mitigation), the block is marked and arrows are drawn.
💡 Ideal Use Case:
Apply this on higher timeframes (e.g., 4H) to identify potential limit order zones.
Use the blocks as entry zones and combine with confluence: FVGs, imbalance, S&D, or liquidity levels.
🧠 Extra Tip:
You can extend this script to include:
Win-rate tracking
Auto TP/SL levels based on ATR
Confluence detection (e.g., FVG, order blocks)
10MA Crosses Above 20MA//@version=5
indicator("10MA Crosses Above 20MA", overlay=true)
ma10 = ta.sma(close, 10)
ma20 = ta.sma(close, 20)
plot(ma10, color=color.orange, title="10MA")
plot(ma20, color=color.blue, title="20MA")
crossUp = ta.crossover(ma10, ma20)
alertcondition(crossUp, title="10MA Crosses Above 20MA", message="10MA升穿20MA，可能是買入訊號！")
✨ Astonishing Smooth Double Keltner Channels ✨This indicator brings a fresh, ultra-smooth take on the classic Keltner Channels, designed to help you better visualize volatility and trend with minimal lag and maximum clarity.
Key Features:
Hull Moving Average (HMA) as the middle line for superior smoothness and responsiveness compared to traditional EMA.
Double Keltner Channels with customizable multipliers (default 4 and 8) to capture different volatility zones.
Adaptive ATR smoothing using RMA for stable yet responsive channel width.
Dynamic coloring of channel bands and background based on price position relative to the middle line — green for bullish, red for bearish.
Visual fills between channel bands for easy zone identification.
Price crossover signals plotted as arrows to highlight potential breakout or breakdown points.
Why use this indicator?
Keltner Channels are a powerful tool for identifying trend direction, volatility expansion, and potential reversal zones. This version enhances the classic formula by applying advanced smoothing techniques and visual cues, making it easier to interpret price action and make informed trading decisions.
How to use:
Adjust the length and multipliers to fit your trading style and the instrument’s volatility.
Watch the smooth middle line (HMA) to identify trend direction.
Use the channel bands as dynamic support/resistance and volatility boundaries.
Pay attention to the crossover signals for potential entry or exit points.
The background color helps quickly gauge market bias at a glance.
Feel free to customize the inputs and experiment with different settings to suit your strategy. This indicator works well on all timeframes and instruments.
If you find it useful, please leave a like and comment! Happy trading! 🚀📈
JNGO - Moving Average Convergence DivergenceMACD Script Im testing out among friends for Moving Average Convergence Divergence
Advanced Market Trend Analyzer//@version=5
indicator("Advanced Market Trend Analyzer", shorttitle="AMT Analyzer", overlay=true)
// Input parameters
rsi_length = input.int(14, "RSI Length")
ema_fast = input.int(9, "Fast EMA")
ema_slow = input.int(21, "Slow EMA")
volume_ma_length = input.int(20, "Volume MA Length")
overbought = input.int(70, "Overbought Level")
oversold = input.int(30, "Oversold Level")
BIF ASK WITH TREND Price Trend with PercentageBID ASK WITH TREND Price Trend with Percentage SHOW MARKET TREND AND MARKET VOLLUME
FRAMA Channel [JopAlgo]FRAMA Channel — let the market tell you how fast to move
Most moving averages make you pick a speed and hope it fits every regime. FRAMA (Fractal Adaptive Moving Average, popularized by John Ehlers) does the opposite: it adapts its smoothing to market structure. When price action is “trendy” (more directional, less jagged), FRAMA speeds up; when it’s choppy (more fractal noise), FRAMA slows down and filters the rubble.
FRAMA Channel wraps that adaptive core with a volatility channel and clean color logic so you can read trend, mean-reversion windows, and breakouts in one glance—on any timeframe.
What you’re seeing (plain-English tour)
FRAMA midline (Filt): the adaptive average. It’s computed from a fractal dimension of price over Length (N).
Trendy tape → lower fractal dimension → FRAMA tracks price tighter.
Choppy tape → higher fractal dimension → FRAMA smooths harder.
Channel bands (Filt ± distance × volatility): the “breathing room.” Volatility here is a long lookback average of (high − low).
Upper band = potential resistance in down/neutral or trend-walk path in uptrends.
Lower band = mirror logic for shorts.
Color logic (simple and strict):
Green when price breaks above the upper band → bullish regime (momentum present).
Red when price breaks below the lower band → bearish regime.
White when price crosses the FRAMA midline → neutral/reset.
Optional candle coloring: toggle Color Candles to tint the chart itself with the regime color—handy for quick reads.
(When you add screenshots: image #1 should label FRAMA, bands, and the three colors in a small trend + pullback. Image #2 can show a “squeeze → expansion” sequence: channel tightens, then price breaks and walks the band.)
How it’s built (without the jargon)
The script measures three ranges over your Length (N): two half-windows and the full window.
It converts those into a fractal dimension (Dimen). That number says “how zig-zaggy” price is right now.
It turns Dimen into an alpha (smoothing factor): alpha = exp(−4.6 × (Dimen − 1)), clamped so it never explodes or flatlines.
It updates FRAMA each bar using that alpha.
It builds bands using a long average of (high − low) multiplied by your Bands Distance setting.
It changes color only on confirmed bar events:
hlc3 crosses above the upper band → green
hlc3 crosses below the lower band → red
close crosses the midline → white
Result: a channel that tightens in balance, widens in trend, and doesn’t flicker on partial bars.
How to use FRAMA Channel on any timeframe
Same framework everywhere. Your job is to choose where to act (objective levels) and let FRAMA tell you trend/mean-reversion context and breakout quality.
Scalping (1–5m)
Pullback-to-midline (trend): When color is green, buy pullbacks that hold at/above the midline; when red, short pullbacks that fail at/below it.
Invalidation: a white flip (midline cross back) right after entry → tighten or bail.
Squeeze → break: A narrowing channel often precedes a move. Only chase the break if color flips to green/red and the first pullback holds the band/midline.
Intraday (15m–1H)
Trend rides: In green/red, expect price to walk the outer band. Entries on midline kisses are cleaner than chasing the band itself.
Balance fades: In white (neutral) with a tight channel, fade outer band → midline—but only at a real level (see “Pairing” below).
Swing (2H–4H)
Regime compass: Color changes that stick (several bars) often mark swing regime shifts. Combine with Weekly/Event AVWAP and composite VP levels.
Add/Trim: In an uptrend, add on midline holds; trim as the channel widens and price spikes beyond the upper band into HVNs.
Position (1D–1W)
Context first: A persistent green weekly channel is constructive; a persistent red is distributive.
Patience: Wait for midline retests at higher-TF levels rather than chasing outer-band prints.
Entries, exits, and risk (keep it simple)
Continuation entry (trend):
Color already green/red.
Price pulls back to FRAMA midline (or shallowly toward it) and holds.
Take the trend side.
Stop: beyond the opposite side of the midline or behind local structure.
Targets: your Volume Profile HVN/POC or prior swing, not the band alone.
Breakout entry:
Channel had tightened; price breaks a key level.
Color flips green/red and the first retest holds.
Enter with the break.
Avoid: breaks that flip color but immediately white-flip on the next bar.
Mean-reversion entry (balance):
Color white and channel tight.
At a VP edge (VAL/VAH), fade outer band → midline.
Stop: just outside the band; Exit: at midline/POC.
Settings that actually matter (and how to tune them)
Length (N) — default 26
Controls how FRAMA “reads” structure.
Shorter (14–20): faster, more responsive (good for scalps/intraday), more flips in chop.
Longer (30–40): steadier (good for swings/position), slower to acknowledge new trends.
Bands Distance — default 1.5
Scales the channel width.
If you’re constantly tagging bands, increase slightly (1.7–2.0).
If nothing ever reaches the band, decrease (1.2–1.4) to make context meaningful.
Color Candles — on/off
Great for quick regime reads. If your chart feels too busy, leave bands colored and turn candle coloring off.
Warm-up note: FRAMA references N bars. Right after switching timeframes or symbols, give it N–2N bars to settle before you judge the current state.
(You may see an input named “Signals Data” in this version; it’s reserved for future enhancements.)
What to look for (pattern cheat sheet)
Walk-the-band: After a green/red flip, price hugs the outer band while the midline slopes. Ride pullbacks to the midline, don’t fade the band.
Squeeze → Expansion: Channel pinches, then color flips and bands widen—that’s the move. The first midline retest is your best entry.
False break tell: Brief color flip to green/red that immediately reverts to white on the next bar—skip chasing; plan for a reclaim.
Midline reclaims: In chop, repeated white↔green/white↔red flips say “mean reversion”; stay tactical and target the midline/POC.
Pairing FRAMA Channel with other tools
Cumulative Volume Delta v1 (CVDv1):
FRAMA tells you trend/mean-reversion context; CVDv1 tells you flow quality.
Breakout quality: FRAMA flips green and CVDv1 ALIGN = OK, Imbalance strong, Absorption ≠ red → higher odds the break sticks.
If Absorption is red on a FRAMA green flip, do not chase—wait for retest or look for a fail/reclaim.
Volume Profile v3.2:
Use VAH/VAL/LVNs/POC for where.
Green + VAL retest → rotate toward POC/HVN.
Red + VAH rejection → rotate back to POC.
LVN + green flip → expect fast travel toward the next HVN; set targets there.
Anchored VWAP :
Treat AVWAP as fair-value rails.
AVWAP reclaim + FRAMA green → excellent trend-resume entry.
AVWAP rejection + FRAMA red → high-quality short; use midline as your risk guide.
Common pitfalls this helps you avoid
Chasing every poke: FRAMA’s white → green/red state change helps you wait for confirmation (or a retest) instead of reacting to the first wick.
Fading a real trend: A sloped midline with price walking the band is telling you not to fight it.
Stops too tight: In expansion, give the trade room to the midline or local structure, not just inside the channel.
Practical defaults to start with
Length: 26
Bands Distance: 1.5
Color Candles: on (turn off if your chart is busy)
Timeframes: works out of the box on 15m–4H; for 1–5m try Length=20; for daily swings try Length=34–40.
Open source & disclaimer
This indicator is published open source so traders can learn, tweak, and build rules they trust. No tool guarantees outcomes; risk management is essential.
Disclaimer — Not Financial Advice.
The “FRAMA Channel ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Use FRAMA Channel for context (trend vs balance, squeeze vs expansion), Volume Profile v3.2 and Anchored VWAP for locations, and CVDv1 for flow quality. That trio keeps your trades selective and your rules consistent on any timeframe.
Keltner Channels v1 [JopAlgo]Keltner Channels v1 — a clean volatility envelope for timing pullbacks, breakouts, and risk
Keltner Channels are a moving-average centerline with volatility-based bands above and below. They give you a live “speed limit” for price: when the market is calm, bands are tight (expect mean reversion); when volatility expands, bands widen (trend moves can breathe). KC v1 keeps the classic idea but adds a small twist that traders appreciate in crypto: an adaptive centerline that switches between EMA and SMA based on trendiness, plus a choice of how you measure volatility for the bands.
This makes KC v1 useful for any timeframe—from fast scalps to multi-day swings—because it answers three practical questions on every chart:
Where’s the “middle” of price right now? (the centerline)
How far is “far” for current volatility? (the bands)
Should I fade back to the middle or ride with the expansion? (context from band width + slope)
If you attach screenshots to your script page, show one image labeling Upper / Middle / Lower bands with a classic pullback-to-middle entry, and another showing a band expansion where price hugs the outer band in trend.
What you’re seeing (and how it’s computed)
Middle band (MA):
KC v5 computes both an EMA and an SMA of your source (default close) with the same length, then auto-selects the middle band:
If ATR > SMA(ATR) over length, KC marks the market as trending and uses the EMA (faster, responsive).
Otherwise, it uses the SMA (steadier) in balance.
Result: you get a centerline that’s calm in chop and snappier in trend, without touching settings.
Upper / Lower bands:
upper = middle + (mult × volatility)
lower = middle - (mult × volatility)
You choose the volatility measure via Bands Style:
Average True Range (default): smooth, robust; uses ATR(atrlength). Best all-around choice.
True Range: raw TR each bar (more jumpy; reacts to gaps and spikes quickly).
Range: RMA of (high - low) over length (gentler; good for tight mean-reversion regimes).
Colors & fill:
Upper = red, Lower = green, Middle = white, with muted fill between bands so you can still read candles.
How to use Keltner Channels on any timeframe
Same framework everywhere: trade with the envelope when expanding, fade back to the middle when contracting—but only at objective locations and with healthy flow.
Scalping (1–5m)
Pullback-to-middle entry: In a micro-trend, wait for price to retrace to the middle band and print a hold. Enter with the trend, stop just beyond the opposite side of the middle or below minor structure; first target is the near band.
Band tap fades (only in contraction): When bands are tightening and the middle is flat, quick fades from upper → middle or lower → middle are high-probability if your volume/flow read doesn’t show aggressive pressure against you.
Avoid: Fading when bands expand and middle slopes—expect continuation instead.
Intraday (15m–1H)
Continuation rides: When bands open up (volatility expansion) and the middle slopes, price often walks the outer band. Enter on minor pullbacks that hold above the middle (for longs) and trail using the middle band or a structure stop.
Squeeze to break: A period of narrowing bands often precedes a move. Let price close outside the channel with good flow, then buy the retest toward the middle that holds.
Swing (2H–4H)
Trend participation: In established trends, treat pullbacks to the middle band as your primary entry. The upper/lower band is not a take-profit by itself—use it with Volume Profile targets (POC/HVNs) or key swing levels.
Mean reversion in balance: When the middle is flat and bands are tight over many bars, fade outer band → middle at Volume Profile edges, provided your flow read isn’t showing absorption against your idea.
Position (1D–1W)
Context: Use KC to judge regime (wide bands + slope = trend; tight/flat = balance). Position entries come from pullbacks to middle that coincide with Weekly AVWAP / VP value edges.
Entries, exits, and risk (simple rules)
Trend entry (with expansion):
Wait for band expansion + sloping middle in your direction. Enter on the first clean pullback to middle (or shallow pullback that can’t even tag middle).
Stop: below the middle band or just beyond local swing.
Trail: by the middle band in trend, or step-trail under pivots.
Targets: next Volume Profile HVN/POC or structural levels; the far Keltner band is a context line, not a hard TP.
Mean-reversion entry (in contraction):
Bands tight + flat middle → fade outer band back to middle at a Volume Profile VA edge.
Stop: just beyond the band.
Target: middle band (first), opposite band if flow remains weak.
Breakout confirmation:
A strong close outside the band by itself can be a trap. Treat it as signal only when your flow read confirms (see “Combining with other tools”).
Settings that actually matter (and how to tune them)
MA Length (default 20): controls both middle smoothness and the trending test (ATR vs SMA(ATR)).
Shorter (10–14) reacts faster, more whips in chop.
Longer (30–50) steadier middle, better for swings/position.
Multiplier (default 2.0): scales band distance.
Crypto majors: 1.8–2.2 is a good starting range on 15m–4H.
Volatile alts: 2.2–2.6 to avoid over-triggering.
If you keep getting faked out on fades: increase the multiplier.
If the channel rarely contains price for long stretches: decrease slightly.
Bands Style:
ATR for most use cases;
TR when you want maximum responsiveness to spikes;
Range for calmer envelopes in slow, balanced markets.
ATR Length (default 10): only applies if you choose ATR for band style.
Shorter = quicker band changes, good for scalps;
Longer = steadier bands for swings.
Note: KC v1 auto-selects EMA vs SMA for the middle band using the ATR trend test. That’s intentional, so you don’t have to toggle it manually.
What to look for (pattern cheatsheet)
Walk-the-band: In expansion, price hugs the outer band and barely returns to the middle—ride, don’t fade.
First touch of middle in trend: Often the cleanest add or first entry after a breakout.
Band pinch (“squeeze”): A long, narrow channel with flat middle sets up a breakout. Wait for acceptance (close outside + hold on retest).
False break tell: Price pokes outside band but closes back inside quickly—watch for reversion to middle, especially if your flow read shows Absorption against the poke.
Combining KC v1 with other tools
like the Cumulative Volume Delta v1 (CVDv1):
Do not chase an outside-band move if CVDv1 shows Absorption—that’s a classic failed break.
Prefer pullbacks to the middle band when Alignment = OK and Imbalance % is strong in your direction.
Reclaim setups: after a poke outside the band, a CVD divergence on the return through the middle often precedes a mean-reversion run.
Volume Profile v3.2 :
Use VAH/VAL/LVNs for location. A pullback-to-middle that coincides with VA boundary is A-tier.
Breakouts through LVNs with expanding bands tend to travel fast toward the next HVN/POC—good for continuation targets.
(A great screenshot: KC middle kiss at VAL with CVDv1 Efficient, then a move to POC.)
Common pitfalls KC v1 helps you avoid
Fading expansion: Trying to short the upper band when bands are widening and middle slopes up is how you get steamrolled. KC tells you it’s not that kind of day.
Chasing inside contraction: Buying every tiny outside poke while bands are pinched leads to whips. Let acceptance form; buy the retest to middle that holds.
Stops too tight: In trend, volatility is elevated; stops need to live beyond the middle or behind structure, not right at the band.
Practical defaults to start with
Length: 20
Multiplier: 2.0 (adjust ±0.2–0.4 per asset)
Bands Style: ATR
ATR Length: 10
Timeframes: works out of the box on 15m–4H; for 1–5m scalps, consider length=14; for daily swings, length=30.
Open source & disclaimer
This indicator is provided open source so traders can study, test, and adapt it to their workflow. No tool guarantees outcomes; risk management is essential.
Disclaimer — Not Financial Advice.
The “Keltner Channels v1 ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
DTM 444 BANDS 🚀DTM 444 BANDS 🚀:
The DTM 444 BANDS 🚀 is a powerful, multi-purpose trading indicator combining Supertrend, Dynamic Band Levels, Breakout Signals, and Volume Confirmation to help traders identify high-probability trade setups across different timeframes.
🔧 Key Features
✅ Multi-Timeframe Support
Analyze price action across any timeframe using the Timeframe input.
All band calculations (High, Low, Midline, and Supertrend) are pulled from a higher timeframe for clearer context.
✅ Dynamic Bands Based on Supertrend
High Band: Rolling highest of Supertrend over hiLen period.
Low Band: Rolling lowest of Supertrend over loLen period.
Midline: Midpoint of the above.
Acts like dynamic support/resistance, ideal for trend-following and breakout strategies.
✅ Dual Signal System
Breakout Signals (Buy and Sell): Triggered when price breaks the bands with volume confirmation.
Supertrend Crossover Signals (Buy1 and Sell1): Classic momentum entries with a confirmation twist.
Exit Signals: Optional take-profit/neutral indicators when price reverses.
✅ Volume Confirmation Filter (Optional)
Only triggers signals if the volume exceeds its 20-period SMA.
Helps filter out false breakouts and weak trends in low-liquidity periods.
✅ Visual Enhancements
Color-coded candles based on band positioning (e.g., red = weak, green = strong, etc.)
On-chart labels for each signal for quick reference.
Real-time Signal Dashboard using Pine Script tables showing:
Current signal
Volume filter status
Live volume vs volume SMA
🧪 Practical Use Cases
Trend Traders: Use the Supertrend cross and band breakouts to ride trends early.
Breakout Traders: Catch high-probability moves outside established ranges.
Swing Traders: Time entries and exits using color-coded bars and exit labels.
Volume-Sensitive Traders: Focus on trades with strong volume backing.
📊 Backtest Snapshot
Based on the example chart for Reliance Industries (RELIANCE.NS) on the weekly timeframe:
Several profitable buy and breakout signals during uptrends.
Timely exits and breakdown alerts before reversals.
Volume filter keeps trades clean and avoids noise.
⚙️ Customizable Parameters
High Length and Low Length (default: 19)
Supertrend Multiplier and ATR Length
Volume Filter: Toggle ON/OFF
Volume SMA Length: Default 20
Custom Timeframe: Choose any higher timeframe for multi-timeframe analysis
📢 Alerts Ready
Fully integrated with TradingView alerts:
Breakout & Breakdown
Supertrend crossovers
All alerts respect the volume filter setting
🏁 Final Thoughts
DTM 444 BANDS 🚀 is a versatile and adaptive trading system that blends trend analysis, volatility bands, and volume validation. Whether you're a trend trader, breakout hunter, or swing trader — this tool gives you a structured edge with clear visual cues and real-time alerts.
Needle XRThe Didi Index with Full Validation is a technical indicator developed for the TradingView platform, based on the concept of the Didi Index, created by Odir Aguiar (Didi). It uses the relationship between three exponential moving averages (EMAs) of different periods to identify trend reversal or continuation points, known as "needle points." To increase signal reliability, the indicator incorporates validations from four widely used technical indicators: MACD, TRIX, DMI/ADX, and Stochastic. Buy and sell signals are displayed only when all validation conditions are met, ensuring greater accuracy.
The indicator is plotted in a separate panel below the price chart, displaying the Didi Index lines (positive and negative), a central reference line, and clear buy (green triangles) and sell (red triangles) signals.
Trendline Breakouts With Targets [ omerprıme ]Indicator Explanation (English)
This indicator is designed to detect trendline breakouts and provide early trading signals when the price breaks key support or resistance levels.
Trendline Detection
The indicator identifies recent swing highs and lows to construct dynamic trendlines.
These trendlines act as support in an uptrend and resistance in a downtrend.
Breakout Confirmation
When the price closes above a resistance trendline, the indicator generates a bullish breakout signal.
When the price closes below a support trendline, it generates a bearish breakout signal.
Filtering False Signals
To reduce false breakouts, additional conditions (such as candle confirmation, volume filters, or price momentum) can be applied.
Only significant and confirmed breakouts are highlighted.
Trading Logic
Buy signals are triggered when the price breaks upward through resistance with confirmation.
Sell signals are triggered when the price breaks downward through support with confirmation.
Predictive Pivot Matrix OHLC data, integrates volume profile for POC/Value Area tracking (including virgin POC), applies rule-based "ML" scoring to evaluate pivot strength via factors like proximity, volume, touches, trend, and confluence, monitors adaptive success rates, projects 5-day future pivots using trend/volatility, detects overlapping confluence zones, and generates visuals (lines, labels, table), alerts, and buy/sell signals on key crossings.
RSI: chart overlay
This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30.
By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window.
The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms.
Key components and calculation breakdown:
Wilder’s EMA
Used as the anchor point for measuring price position.
myEMA = ta.rma(close, Length)
Volatility Unit
Derived from the EMA of absolute close-to-close price changes.
CC_vol = ta.rma(math.abs(close - close ), Length)
Normalization Factor
Scales the volatility unit to align with the RSI formula’s structure.
normalization_factor = 1 / (Length - 1)
Upper and Lower Boundaries
Defines price bands corresponding to selected RSI threshold values.
up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor)
down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor)
Inputs
RSI length
Upper boundary – RSI level above 50
Lower boundary – RSI level below 50
ON/OFF toggle for 50-point line (EMA of close prices)
ON/OFF toggle for overbought/oversold coloring (use with line chart)
Interpretation:
Each band on the chart represents a chosen RSI level.
When price touches a band, RSI is at that threshold.
The distance between moving average and bands adjusts automatically with volatility and your selected RSI length.
All calculations remain fully consistent with standard RSI values.
Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
Jarass regression linesDouble Linear Regression Ultimate + MA Ribbon (DLRC + MA)
The DLRC + MA indicator is an advanced technical analysis tool that combines double linear regression channels with a moving average ribbon (MA Ribbon). Designed for traders who want to simultaneously track trend, volatility, and potential support/resistance levels.
Key Features:
1. Double Linear Regression Channels:
• Inner Channel – shorter period, more sensitive to recent price movements.
• Outer Channel – longer period, reflects the long-term trend.
• Both channels display upper and lower boundaries and a midline.
• Optional logarithmic scale for price adjustment.
• Real-time R² values to assess regression accuracy.
2. MA Ribbon:
• Up to 4 different moving averages simultaneously.
• Supports SMA, EMA, SMMA (RMA), WMA, VWMA.
• Each MA can be individually enabled/disabled, with customizable period, source, and color.
• Helps identify trend direction and dynamic support/resistance levels.
3. Visualization:
• Channels are filled with semi-transparent colors for clarity.
• Midline for quick trend direction assessment.
• Label displays R² values of the channels in real time.
4. Suitable For:
• Short-term and long-term traders seeking a combination of linear regression analysis and classic trend-following tools.
• Useful for identifying overbought/oversold zones and potential trend reversal points.
Summary:
DLRC + MA combines statistical precision of linear regression with intuitive trend visualization via a MA ribbon. It provides quick insight into market direction, volatility, and potential turning points, all in one chart overlay.
John Bollinger's Bollinger BandsJapanese below / 日本語説明は下記
This indicator replicates how John Bollinger, the inventor of Bollinger Bands, uses Bollinger Bands, displaying Bollinger Bands, %B and Bandwidth in one indicator with alerts and signals.
Bollinger Bands is created by John Bollinger in 1980s who is an American financial trader and analyst. He introduced %B and Bandwidth 30 years later.
🟦 What's different from other Bollinger Bands indicator?
Unlike the default Bollinger Bands or other custom Bollinger Bands indicators on TradingView, this indicator enables to display three Bollinger Bands tools into a single indicator with signals and alerts capability.
You can plot the classic Bollinger Bands together with either %B or Bandwidth or three tools altogether which requires the specific setting(see below settings).
This makes it easy to quantitatively monitor volatility changes and price position in relation to Bollinger Bands in one place.
🟦 Features:
Plots Bollinger Bands (Upper, Basis, Lower) with fill between bands.
Option to display %B or Bandwidth with Bollinger Bands.
Plots highest and lowest Bandwidth levels over a customizable lookback period.
Adds visual markers when Bandwidth reaches its highest (Bulge) or lowest (Squeeze) value.
Includes ready-to-use alert conditions for Bulge and Squeeze events.
📈Chart
Green triangles and red triangles in the bottom chart mark Bulges and Squeezes respectively.
🟦 Settings:
Length: Number of bars used for Bollinger Band middleline calculation.
Basis MA Type: Choose SMA, EMA, SMMA (RMA), WMA, or VWMA for the midline.
StdDev: Standard deviation multiplier (default = 2.0).
Option: Select "Bandwidth" or "%B" (add the indicator twice if you want to display both).
Period for Squeeze and Bulge: Lookback period for detecting the highest and lowest Bandwidth levels.(default = 125 as specified by John Bollinger )
Style Settings: Colors, line thickness, and transparency can be customized.
📈Chart
The chart below shows an example of three Bollinger Bands tools: Bollinger Band, %B and Bandwidth are in display.
To do this, you need to add this indicator TWICE where you select %B from Option in the first addition of this indicator and Bandwidth from Option in the second addition.
🟦 Usage:
🟠Monitor Volatility:
Watch Bandwidth values to spot volatility contractions (Squeeze) and expansions (Bulge) that often precede strong price moves.
John Bollinger defines Squeeze and Bulge as follows;
Squeeze:
The lowest bandwidth in the past 125 period, where trend is born.
Bulge:
The highest bandwidth in the past 125 period where trend is going to die.
According to John Bollinger, this 125 period can be used in any timeframe.
📈Chart1
Example of Squeeze
You can see uptrends start after squeeze(red triangles)
📈Chart2
Example of Bulge
You can see the trend reversal from downtrend to uptrends at the bulge(green triangles)
📈Chart3
Bulge DOES NOT NECESSARILY mean the beginning of a trend in opposite direction.
For example, you can see a bulge happening in the right side of the chart where green triangles are marked. Nevertheless, uptrend still continues after the bulge.
In this case, the bulge marks the beginning of a consolidation which lead to the continuation of the trend. It means that a phase of the trend highlighted in the light blue box came to an end.
Note: light blue box is not drawn by the indicator.
Like other technical analysis methods or tools, these setups do not guarantee birth of new trends and trend reversals. Traders should be carefully observing these setups along with other factors for making decisions.
🟠Track Price Position:
Use %B to see where price is located in relation to the Bollinger Bands.
If %B is close to 1, the price is near upper band while %B is close to 0, the price is near lower band.
🟠Set Alerts:
Receive alerts when Bandwidth hits highest and lowest values of bandwidth, helping you prepare for potential breakout, ending of trends and trend reversal opportunities.
🟠Combine with Other Tools:
This indicator would work best when combined with price action, trend analysis, or
market environmental analysis.
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このインジケーターはボリンジャーバンドの考案者であるジョン・ボリンジャー氏が提唱するボリンジャーバンドの使い方を再現するために、ボリンジャーバンド、%B、バンドウィズ(Bandwidth) の3つを1つのインジケーターで表示可能にしたものです。シグナルやアラートにも対応しています。
ボリンジャーバンドは1980年代にアメリカ人トレーダー兼アナリストのジョン・ボリンジャー氏によって開発されました。彼はその30年後に%Bとバンドウィズを導入しました。
🟦 他のボリンジャーバンドとの違い
TradingView標準のボリンジャーバンドや他のボリンジャーバンドとは異なり、このインジケーターでは3つのボリンジャーバンドツールを1つのインジケーターで表示し、シグナルやアラート機能も利用できるようになっています。
一般的に知られている通常のボリンジャーバンドに加え、%Bやバンドウィズを組み合わせて表示でき、設定次第では3つすべてを同時にモニターすることも可能です。これにより、価格とボリンジャーバンドの位置関係とボラティリティ変化をひと目で、かつ定量的に把握することができます。
🟦 機能:
ボリンジャーバンド（アッパーバンド・基準線・ロワーバンド）を描画し、バンド間を塗りつぶし表示。
オプションで%Bまたはバンドウィズを追加表示可能。
バンドウィズの最高値・最安値を、任意の期間で検出して表示。
バンドウィズが指定期間の最高値（バルジ※）または最安値（スクイーズ）に達した際にシグナルを表示。
※バルジは一般的にボリンジャーバンドで用いられるエクスパンションとほぼ同じ意味ですが、定義が異なります。(下記参照)
バルジおよびスクイーズ発生時のアラート設定が可能。
📈 チャート例
下記チャートの緑の三角と赤の三角は、それぞれバルジとスクイーズを示しています。
🟦 設定:
Length: ボリンジャーバンドの基準線計算に使う期間。
Basis MA Type: SMA, EMA, SMMA (RMA), WMA, VWMAから選択可能。
StdDev: 標準偏差の乗数（デフォルト2.0）。
Option: 「Bandwidth」または「%B」を選択（両方表示するにはこのインジケーターを2回追加）。
Period for Squeeze and Bulge: Bandwidthの最高値・最安値を検出する期間（デフォルトはジョン・ボリンジャー氏が推奨する125）。
Style Settings: 色、線の太さ、透明度などをカスタマイズ可能。
📈 チャート例
下のチャートは「ボリンジャーバンド」「%B」「バンドウィズ」の3つを同時に表示した例です。
この場合、インジケーターを2回追加し、最初に追加した方ではOptionを「%B」に、次に追加した方では「Bandwidth」を選択します。
🟦 使い方:
🟠 ボラティリティを監視する:
バンドウィズの値を見ることで、価格変動の収縮（スクイーズ）や拡大（バルジ）を確認できます。
これらはしばしば強い値動きの前兆となります。
ジョン・ボリンジャー氏はスクイーズとバルジを次のように定義しています：
スクイーズ: 過去125期間の中で最も低いバンドウィズ→ 新しいトレンドが生まれる場所。
バルジ: 過去125期間の中で最も高いバンドウィズ → トレンドが終わりを迎える場所。
この「125期間」はどのタイムフレームでも利用可能とされています。
📈 チャート1
スクイーズの例
赤い三角のスクイーズの後に上昇トレンドが始まっているのが確認できます。
📈 チャート2
バルジの例
緑の三角のバルジの箇所で下降トレンドから上昇トレンドへの反転が見られます。
📈 チャート3
バルジが必ずしも反転を意味しない例
下記のチャート右側の緑の三角で示されたバルジの後も、上昇トレンドが継続しています。
この場合、バルジは反転ではなく「トレンド一時的な調整（レンジ入り）」を示しており、結果的に上昇トレンドが継続しています。
この場合、バルジは水色のボックスで示されたトレンドのフェーズの終わりを示しています。
※水色のボックスはインジケーターが描画したものではありません。
また、他のテクニカル分析と同様に、これらのセットアップは必ず新しいトレンドの発生やトレンド転換を保証するものではありません。トレーダーは他の要素も考慮し、慎重に意思決定する必要があります。
🟠 価格とボリンジャーバンドの位置関係を確認する:
%Bを利用すれば、価格がバンドのどこに位置しているかを簡単に把握できます。
%Bが1に近ければ価格はアッパーバンド付近、0に近ければロワーバンド付近にあります。
🟠 アラートを設定する:
バンドウィズが一定期間の最高値または最安値に到達した際にアラートを設定することで、ブレイクアウトやトレンド終了、反転の可能性に備えることができます。
🟠 他のツールと組み合わせる:
このインジケーターは、プライスアクション、トレンド分析、環境認識などと組み合わせて活用すると最も効果的です。
Natural Gas Intraday Strategy [15m] with Partial Profit & TrailBuy when:
1. Close > EMA 100 and EMA 20 > EMA 100
2. MACD (8,21,5) > Signal and histogram rising
3. RSI > 60
4. ATR > threshold (avoid flat market)
Sell when:
1. Close < EMA 100 and EMA 20 < EMA 100
2. MACD (8,21,5) < Signal and histogram falling
3. RSI < 40
4. ATR > threshold
Exit:
• SL = recent swing ± 0.5 ATR
• TP1 = 1 ATR, trail rest with EMA 20
CCI + MACD Signal MTF (2nd-cross)This custom indicator combines the Commodity Channel Index (CCI) and the MACD to generate trading signals.
Basic signals (dots):
A green dot is plotted when CCI is above +100 and MACD is positive.
A red dot is plotted when CCI is below –100 and MACD is negative.
These dots help visualize momentum alignment between the two indicators.
Second-cross signals (text + alert):
The indicator also tracks cycles of the CCI.
When CCI first moves above +100 and later falls back below +100, this is counted as one completed cycle.
The next time CCI crosses back above +100 (the second cross), if MACD is still positive, a “BUY” label is plotted and a buy alert is triggered.
Conversely, when CCI first moves below –100 and later rises back above –100, that is one completed cycle.
The next time CCI crosses back below –100 (the second cross), if MACD is negative, a “SELL” label is plotted and a sell alert is triggered.
Alerts:
Alerts are only fired on the second-cross events (BUY or SELL), making them rarer but potentially more reliable than the basic dot conditions.
Timeframe flexibility:
Both the CCI and the MACD can be calculated on custom timeframes independently of the chart’s timeframe.
