Volumatic Fair Value Gaps [BigBeluga]🔵 OVERVIEW
The Volumatic Fair Value Gaps indicator detects and plots size-filtered Fair Value Gaps (FVGs) and immediately analyzes the bullish vs. bearish volume composition inside each gap. When an FVG forms, the tool samples volume from a 10× lower timeframe , splits it into Buy and Sell components, and overlays two compact bars whose percentages always sum to 100%. Each gap also shows its total traded volume . A live dashboard (top-right) summarizes how many bullish and bearish FVGs are currently active and their cumulative volumes—offering a quick read on directional participation and trend pressure.
🔵 CONCEPTS
FVGs (Fair Value Gaps) : Imbalance zones between three consecutive candles where price “skips” trading. The script plots bullish and bearish gaps and extends them until mitigated.
Size Filtering : Only significant gaps (by relative size percentile) are drawn, reducing noise and emphasizing meaningful imbalances.
// Gap Filters
float diff = close > open ? (low - high ) / low * 100 : (low - high) / high *100
float sizeFVG = diff / ta.percentile_nearest_rank(diff, 1000, 100) * 100
bool filterFVG = sizeFVG > 15
Volume Decomposition : For each FVG, the indicator inspects a 10× lower timeframe and aggregates volume of bullish vs. bearish candles inside the gap’s span.
100% Split Bars : Two inline bars per FVG display the % Bull and % Bear shares; their total is always 100%.
Total Gap Volume : A numeric label at the right edge of the FVG shows the total traded volume associated with that gap.
Mitigation Logic : Gaps are removed when price closes through (or touches via high/low—user-selectable) the opposite boundary.
Dashboard Summary : Counts and sums the active bullish/bearish FVGs and their total volumes to gauge directional dominance.
🔵 FEATURES
Bullish & Bearish FVG plotting with independent color controls and visibility toggles.
Adaptive size filter (percentile-based) to keep only impactful gaps.
Lower-TF volume sampling at 10× faster resolution for more granular Buy/Sell breakdown.
Per-FVG volume bars : two horizontal bars showing Bull % and Bear % (sum = 100%).
Per-FVG total volume label displayed at the right end of the gap’s body.
Mitigation source option : choose close or high/low for removing/invalidating gaps.
Overlap control : older overlapped gaps are cleaned to avoid clutter.
Auto-extension : active gaps extend right until mitigated.
Dashboard : shows count of bullish/bearish gaps on chart and cumulative volume totals for each side.
Performance safeguards : caps the number of active FVG boxes to maintain responsiveness.
🔵 HOW TO USE
Turn on/off FVG types : Enable Bullish FVG and/or Bearish FVG depending on your focus.
Tune the filter : The script already filters by relative size; if you need fewer (stronger) signals, increase the percentile threshold in code or reduce the number of displayed boxes.
Choose mitigation source :
close — stricter; gap is removed when a closing price crosses the boundary.
high/low — more sensitive; a wick through the boundary mitigates the gap.
Read the per-FVG bars :
A higher Bull % inside a bullish gap suggests constructive demand backing the imbalance.
A higher Bear % inside a bearish gap suggests supply is enforcing the imbalance.
Use total gap volume : Larger totals imply more meaningful interest at that imbalance; confluence with structure/HTF levels increases relevance.
Watch the dashboard : If bullish counts and cumulative volume exceed bearish, market pressure is likely skewed upward (and vice versa). Combine with trend tools or market structure for entries/exits.
Optional: hide volume bars : Disable Volume Bars when you want a cleaner FVG map while keeping total volume labels and the dashboard.
🔵 CONCLUSION
Volumatic Fair Value Gaps blends precise FVG detection with lower-timeframe volume analytics to show not only where imbalances exist but also who powers them. The per-gap Bull/Bear % bars, total volume labels, and the cumulative dashboard together provide a fast, high-signal read on directional participation. Use the tool to prioritize higher-quality gaps, align with trend bias, and time mitigations or continuations with greater confidence.
Multitimeframe
CQ_Historical Candle Color Changer🎯 Purpose
This indicator visually distinguishes candles based on how old they are—specifically within a user-defined range (e.g., 1 to 7 days old). It helps traders quickly isolate recent price action from older data, making it easier to interpret overlays like moving averages, volume profiles, or momentum indicators.
⚙️ Key Features
- User-Defined Age Range: Set minimum and maximum age in days (e.g., highlight candles that are 1–7 days old).
- Custom Colors: Choose highlight colors for candles within the range.
- Timeframe Awareness: Works across any chart timeframe (1m, 1h, 1D, etc.), calculating candle age based on actual time elapsed.
- Non-Intrusive Display: Candles outside the range retain their default appearance, preserving overall chart readability.
📐 How It Works
- The script calculates the age of each candle by comparing its timestamp to the current time.
- If the candle falls within the user-defined age range, it’s recolored using the selected style.
- Candles older or newer than the range are left untouched.
🧠 Use Cases
- Trend Isolation: Focus on recent price action without losing sight of broader context.
Confluence Engine Confluence Engine is a practical, non-repainting decision aid that scores market conditions from −100…+100 by combining six proven modules: Trend, Momentum, Volatility, Volume, Structure, and an HTF confirmation. It’s designed for crypto, forex, indices, and stocks, and it fires entries only on confirmed bar closes.
What’s inside
Trend: EMA 20/50/200 alignment plus a Supertrend/KAMA toggle (you choose the baseline).
Momentum: RSI + MACD with confirmed-pivot divergence detection.
Volatility: ATR% and Bollinger Band width vs its average to favor expansion over chop.
Volume: OBV-style cumulative flow slope + volume surge vs SMA×multiplier.
Market Structure: Confirmed pivots, BOS (break of structure) and CHOCH (change of character).
HTF Filter: Closed higher-timeframe context via request.security(..., barmerge.gaps_on, barmerge.lookahead_off).
Why it does not repaint
Signals are computed and plotted on closed bars only.
Pivots/divergences use confirmed pivot points (no forward look).
HTF series are fetched with lookahead_off and use the last closed HTF bar in realtime.
No future bar references are used for entries or alerts.
How to use (3 steps)
Pick a timeframe pair: use a 4–6× HTF multiplier (5m→30m, 15m→1h, 1h→4h, 4h→1D, 1D→1W).
Trade with the HTF: take longs only when the HTF filter is bullish; shorts only when bearish.
Prefer expansion: act when BB width > its average and ATR% is elevated; skip most signals in compression.
Suggested presets (start here)
Crypto (BTC/ETH): 15m→1h, 1h→4h. stLen=10, stMult=3.0, bbLen=20, surgeMul=1.8–2.2, thresholds +40 / −40 (intraday can try +35 / −35).
Forex majors: 15m→1h, 1h→4h. stLen=10–14, stMult=2.5–3.0, surgeMul=1.5–1.8, thresholds +35 / −35 (swing: +45 / −45).
US equities (liquid): 5m→30m/1h, 15m→1h/2h. stMult=3.0–3.5, surgeMul=1.6–2.0, thresholds +45 / −45 to reduce chop.
Indices (ES/NQ): 5m→30m, 15m→1h. Defaults are fine; start at +40 / −40.
Gold/Oil: 15m→1h, 1h→4h. Thresholds +35 / −35, surgeMul=1.6–1.9.
Inputs (plain English)
Use Supertrend (off = KAMA): choose the trend baseline.
EMA Fast/Mid/Slow: 20/50/200 by default for classic stack.
RSI/MACD + divergence pivots: momentum and exhaustion context.
ATR Length & BB Length: volatility regime detection.
Volume SMA & Surge Multiplier: defines “meaningful” volume spikes.
Pivot left/right & “Confirm BOS/CHOCH on Close”: structure strictness.
Enable HTF & Higher Timeframe: confirms the lower timeframe direction.
Thresholds (+long / −short): when the score crosses these, you get signals.
Signals & alerts (IDs preserved)
Entry shapes plot at bar close when the score crosses thresholds.
Alerts you can enable:
CONFLUENCE LONG — long entry signal
CONFLUENCE SHORT — short entry signal
BULLISH BIAS — score turned positive
BEARISH BIAS — score turned negative
Best practices
Focus on signals with HTF agreement and volatility expansion; require volume participation (surge or rising OBV slope) for higher quality.
Raise thresholds (+45/−45 or +50/−50) to reduce whipsaws in choppy sessions.
Lower thresholds (+35/−35) only if you also require volatility/volume filters.
Performance & scope
Works across crypto/FX/equities/indices; no broker data or special feeds required.
No repainting by design; signals/alerts are computed on closed bars.
As with any tool, results vary by regime; always combine with risk management.
Disclosure
This script is for educational purposes only and is not financial advice. Trading involves risk. Test on historical data and paper trade before using live.
ICC Indicator V6An adjustable Pine Script v6 “ICC” indicator that detects Indication → Correction → Continuation market structure across timeframes with optional volume confirmation, plots swing levels and zones, shows editable labels and toggleable yellow buy/sell triangle signals, and includes debug tools for tuning.
FVG Inversion + Improved Order Block (15/30/60) — by samoedlooking for ifvg + ob 15/30/60m
gives short and long signals
APC – Anti-Analysis-Paralysis Kompass APC – Anti-Analysis-Paralysis Compass (Pine v5).
Research/education indicator that compresses trend from 5 timeframes into one compass with Direction, Score, and Coherence (TF agreement). Non-repainting with a high-contrast breakdown table and in-chart help. No financial advice.
What it is
APC is a research/education tool that condenses trend information from five timeframes into a single compass. It shows Direction (↑/↓/→), a weighted Score, and Coherence (how strongly timeframes agree). The script is non-repainting (security(..., lookahead=off)) and includes a readable breakdown panel and example alerts.
How it works
• For each timeframe APC fits a linear regression to price, measures the slope change over k bars, optionally normalizes by ATR%, then maps it to +1 / 0 / −1 using a Deadzone (small slopes → neutral).
• A (weighted) sum of the five signs forms the Score.
• Coherence = |Score| / maxScore (0–100%), i.e., degree of TF alignment.
Quick start (suggested defaults)
• Timeframes: 15m · 1h · 4h · 1D · 1W • Weights: 1, 1, 1, 1.5, 2
• LinReg length: 100 • Slope Δ window: 10
• ATR normalization: ON • Deadzone: 0.03–0.05
• Coherence lock (for example alerts): 60%
Example research filters (non-advisory)
Many users test: Bullish bias when Score ≥ +3 and Coherence ≥ 60%; bearish bias when Score ≤ −3 and Coherence ≥ 60%. These are illustrative defaults only—configure and test your own thresholds.
Optional: pair with Kagi
Use APC for bias/conviction and Kagi turns for timing. Typical Kagi (swing): base 15m–1h, reversal ATR(14) × 1.5–2.5 or 1–3%.
Notes
Raise Deadzone in choppy markets; lower it for earlier flips. On very illiquid or young symbols, lengthen lenLR.
Disclaimer
APC is a research & educational indicator. It does not provide financial advice or recommendations. Use at your own risk. License: MIT.
Smart Liquidity Switch, Try now!!!Allmost perfect. This is a liquidity switch, is not bad,maybe it help's you. Good luck and Jesus may be with us.
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1)
Indicator — Dual Histogram with Buy/Sell Labels
This indicator is designed to provide a probabilistic bias for bullish or bearish conditions by combining three different analytical components across multiple timeframes. The goal is to reduce noise from single-indicator signals and instead highlight confluence where trend, momentum, and strength agree.
Why this combination is useful
- EMA(200) Trend Filter: Identifies whether price is trading above or below a widely used long-term moving average.
- MACD Momentum: Detects short-term directional momentum through line crossovers.
- ADX Strength: Measures how strong the trend is, preventing signals in weak or flat markets.
By combining these, the indicator avoids situations where one tool signals a trade but others do not, helping to filter out low-probability setups.
How it works
- Each timeframe (M5, M15, H1, H4, D1) generates its own trend, momentum, and strength score.
- Scores are weighted according to user-defined importance and then aggregated into a single probability.
- Proximity to recent support and resistance levels can adjust the final score, accounting for nearby barriers.
- The final probability is displayed as:
- Histogram (subwindow): Green bars for bullish probability >50%, red bars for bearish <50%.
- On-chart labels: Showing exact buy/sell percentages on the last bar for quick reference.
Inputs
- EMA length (default 200), MACD settings, ADX period.
- Weights for each timeframe and component (trend, momentum, strength).
- Optional boost for the chart’s current timeframe.
- Smoothing length for probability values.
- Lookback period for support/resistance adjustment.
How to use it
- A green histogram above zero indicates bullish probability >50%.
- A red histogram below zero indicates bearish probability >50%.
- Neutral readings near 50% show low confluence and may be best avoided.
- Users can adjust weights to emphasize higher or lower timeframes, depending on their trading style.
Notes
- This script does not guarantee profitable trades.
- Best used together with price action, volume, or additional confirmation tools.
- Signals are calculated only on closed bars to avoid repainting.
- For testing and learning purposes — not financial advice.
MatrixScalper Tablo + 3 Bant Osilatör
MatrixScalper “Table + 3-Band Oscillator” is a lightweight, multi-timeframe trend-momentum filter that stacks three histograms (TF1/TF2/TF3—default 5m/15m/1h) and a compact table showing EMA trend, Supertrend, RSI and MACD direction for each timeframe. Green bars/✓ mean bullish alignment, red bars/✗ bearish; mixed or gray implies neutrality. Use it to trade with the higher-timeframe bias (e.g., look for longs when 15m & 60m are bullish and the 5m band flips back to green after a pullback). It’s a filter—not a standalone signal—so combine with price action/S&R/volume; optional alerts can be added for “all-bull” or “all-bear” alignment.
Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)"
Instructions for use (Professional Manual)
1. a basic concept
By vertical axis (price), shows the cumulative trading volume traded in the segment.
The longer the block, the more transactions took place in that price range.
Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage).
2. Key components
POC (Point of Control)
→ Longest block (most traded price segment, "key selling point").
VAH / VAL (Value Area High/Low)
→ Top/bottom segments where approximately 70% of the total volume is formed.
→ Role of "Major Support/Resistance".
High Capacity Node (HVN)
→ Significantly higher trading volumes → strong support/resistance.
Low Volume Node (LVN)
→ Low volume section → areas where prices are easily passed.
3. practical application
Find Support/Resistance
The thickest block (POC) is used as a place where prices often rebound/resist.
a trading entry/liquidation strategy
Buy if the price is supported near HVN,
When breaking through the LVN, fast movement (gap movement) can be expected.
break/goal setting
Finger = Under the LVN,
Target = Next HVN.
Judgment of trends
When the block distribution is concentrated above, "Increase to Collection Section"
If you're driven below, you're "in a downtrend to a variance section."
4. Precautions
The volume distribution is "past data based" and is not an indicator of the future.
Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns.
In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall.
In summary, this block indicator is "a map showing the most market participants at any price point".
In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
EMA-RSI-MACD-Volume-Candle Combo HÂN HÂN//@version=5
indicator("EMA-RSI-MACD-Volume-Candle Combo", overlay=true)
// === EMA 20 & 50 ===
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
goldenCross = ta.crossover(ema20, ema50) // EMA20 cắt lên EMA50
plot(ema20, color=color.yellow, title="EMA 20")
plot(ema50, color=color.orange, title="EMA 50")
// === RSI (14) ===
rsi = ta.rsi(close, 14)
rsiCondition = rsi <= 30
// === MACD ===
macd = ta.ema(close, 12) - ta.ema(close, 26)
signal = ta.ema(macd, 9)
macdCondition = macd > 0
// === Volume breakout ===
volMA = ta.sma(volume, 20)
volCondition = volume > volMA * 1.5 // Volume > 150% so với MA20
// === Candlestick reversal patterns ===
// Bullish Engulfing
bullEngulf = close < open and close > open and close >= open and open <= close
// Hammer
hammer = (close > open) and ((high - low) > 3 * (open - close)) and ((close - low) / (0.001 + high - low) > 0.6)
candleCondition = bullEngulf or hammer
// === Combined Signal ===
buySignal = goldenCross and rsiCondition and macdCondition and volCondition and candleCondition
// Plot signals on chart
plotshape(buySignal, title="BUY Signal", style=shape.labelup, color=color.green, text="BUY", location=location.belowbar, size=size.large)
// Alerts
alertcondition(buySignal, title="BUY Signal Alert", message="EMA20>EMA50 + RSI≤30 + MACD>0 + Volume Breakout + Reversal Candle")
Alpha Trend ProThe Alpha Trend Pro indicator is a trend-following tool designed to capture market direction using ATR-based dynamic thresholds and smoothing.
✨ Key Features:
ATR-based calculation: Uses Average True Range (ATR) with a multiplier to define bullish and bearish zones.
Adaptive trend line: Plots a dynamic line that shifts according to price movement, turning green for bullish trends and red for bearish trends.
Buy & Sell signals: Generates signals when the trend direction changes (from bearish to bullish or vice versa).
Background highlighting: Optionally colors the chart background to quickly visualize bullish (green) or bearish (red) conditions.
Customizable inputs: Traders can adjust ATR period, multiplier, smoothing factor, and source (close, hl2, etc.).
Alerts ready: Includes built-in alerts for buy signals, sell signals, and trend continuation (bullish or bearish).
📊 How to use it:
Look for BUY signals when the indicator flips from bearish to bullish.
Look for SELL signals when the indicator flips from bullish to bearish.
Use background shading and the trend line color for confirmation of ongoing market direction.
This makes Alpha Trend Pro a powerful yet simple tool for spotting trend reversals and managing trades with confidence.
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6
// Multi-Indicator Alerts
// --------------------------------------------
// This script combines technical indicators and basic analyst data
// to produce composite buy and sell signals. Each block is heavily
// commented so future modifications are straightforward.
indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500)
//// === Daily momentum indicators ===
// Relative Strength Index measures price momentum.
rsiLength = input.int(14, "RSI Length")
rsi = ta.rsi(close, rsiLength)
// Money Flow Index incorporates volume to track capital movement.
// In Pine Script v6 the function only requires a price source and length;
// volume is taken from the built-in `volume` series automatically.
mfLength = input.int(14, "Money Flow Length")
mf = ta.mfi(hlc3, mfLength)
// `mfUp`/`mfDown` flag a turn in money flow over the last two bars.
mfUp = ta.rising(mf, 2)
mfDown = ta.falling(mf, 2)
//// === WaveTrend oscillator ===
// A simplified WaveTrend model produces "dots" indicating potential
// exhaustion points. Values beyond +/-53 are treated as oversold/overbought.
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Average Length")
ap = hlc3 // typical price
esa = ta.ema(ap, n1) // smoothed price
d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation
ci = (ap - esa) / (0.015 * d) // channel index
tci = ta.ema(ci, n2) // trend channel index
wt1 = tci // main line
wt2 = ta.sma(wt1, 4) // signal line
greenDot = ta.crossover(wt1, wt2) and wt1 < -53
redDot = ta.crossunder(wt1, wt2) and wt1 > 53
plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny)
plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny)
//// === Analyst fundamentals ===
// Fundamental values from TradingView's database. If a ticker lacks data
// these will return `na` and the related conditions simply evaluate false.
rating = request.financial(syminfo.tickerid, "rating", period="FY")
targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY")
targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY")
upsidePct = (targetHigh - close) / close * 100
downsidePct = (close - targetLow) / close * 100
// `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use
// thresholds instead of string comparisons so the script compiles even when
// the broker only supplies numeric ratings.
ratingBuy = rating >= 4 // buy or strong buy
ratingNeutralOrBuy = rating >= 3 // neutral or better
upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside
downsideCondition = downsidePct >= upsidePct // downside greater or equal
//// === Daily moving-average context ===
// 50 EMA represents short-term trend; 200 EMA long-term bias.
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
longBias = close > ema200 // price above 200-day = long bias
momentumFavorable = close > ema50 // price above 50-day = positive momentum
//// === Weekly trend filter ===
// Higher timeframe confirmation to reduce noise.
weeklyClose = request.security(syminfo.tickerid, "W", close)
weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20))
weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength))
// Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`.
weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength))
weeklyFilter = weeklyClose > weeklyEMA20
//// === Buy evaluation ===
// Each true condition contributes one point to `buyScore`.
c1_buy = rsi < 50 // RSI below midpoint
c2_buy = mfUp // Money Flow turning up
c3_buy = greenDot // WaveTrend oversold bounce
c4_buy = ratingBuy // Analyst rating Buy/Strong Buy
c5_buy = upsideCondition // Forecast upside twice downside
buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0)
// Require all five conditions plus trend filters and persistence for two bars.
buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50
buySignal = buyCond and buyCond
//// === Sell evaluation ===
// Similar logic as buy side but inverted.
c1_sell = rsi > 70 // RSI above overbought threshold
c2_sell = mfDown // Money Flow turning down
c3_sell = redDot // WaveTrend overbought reversal
c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy
c5_sell = downsideCondition // Downside at least equal to upside
sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0)
// For exits require weekly filters to fail or long bias lost.
sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50)
sellSignal = sellCond and sellCond
// Plot composite scores for quick reference.
plot(buyScore, "Buy Score", color=color.green)
plot(sellScore, "Sell Score", color=color.red)
//// === Confidence table ===
// Shows which of the five buy/sell checks are currently met.
var table status = table.new(position.top_right, 5, 2, border_width=1)
if barstate.islast
table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0))
//// === Alert text ===
// Include key metrics in alerts so the chart doesn't need to be opened.
buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
// Alert conditions use static messages; dynamic data is sent via `alert()`
alertcondition(buySignal, title="Buy Signal", message="Buy conditions met")
alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met")
if buySignal
alert(buyMsg, alert.freq_once_per_bar_close)
if sellSignal
alert(sellMsg, alert.freq_once_per_bar_close)
//// === Watch-out flags ===
// Gentle warnings when trends weaken but before full sell signals.
warnRSI = rsi > 65 and rsi <= 65
warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct
alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65")
alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking")
if warnRSI
alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close)
if warnAnalyst
alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close)
//// === Plot bias moving averages ===
plot(ema50, color=color.orange, title="EMA50")
plot(ema200, color=color.blue, title="EMA200")
//// === Cross alerts for context ===
goldenCross = ta.crossover(ema50, ema200)
deathCross = ta.crossunder(ema50, ema200)
alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA")
alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
Super Signals (High Accuracy)Test it and you will juge it by yourself..a high winrate +90%
NO REPAINTING, NO LAGGING
Aslan | Price Action Toolkit [6.5]A high-precision suite of tools designed for traders who rely on market structure, liquidity, and smart money concepts. Each component is engineered to provide deeper insight into price behavior across multiple timeframes, helping you make more informed decisions with greater confidence.
🚀| Market Structure (BOS, CHoCH, CHoCH+, EQH/L – Internal & Swing | Multi-Timeframe)
This feature automatically detects critical structural shifts in price, including:
Break of Structure (BOS): Indicates continuation of a trend after surpassing a key swing high or low.
Change of Character (CHoCH): Marks the potential beginning of a reversal in market direction.
CHoCH+: A more aggressive variant of CHoCH with additional confirmation logic.
Equal Highs/Lows (EQH/EQL): Highlights areas of engineered liquidity and potential sweep zones.
The system distinguishes between internal and swing structure and supports multi-timeframe mapping, giving you a complete picture of short-term and long-term market behavior.
📈| Volumetric Order Blocks & Mitigation Methods (Bullish & Bearish)
Order Blocks represent zones where institutional orders are likely placed.
This tool identifies bullish and bearish order blocks with volumetric validation, increasing confidence in their strength.
It includes multiple mitigation techniques—such as close-based or wick-based validation—to help determine whether an order block remains valid or has been absorbed.
💸| Liquidity Concepts
A robust framework for identifying where liquidity is building and how it may be exploited:
Highlights areas where traders are trapped or clustered.
Supports both internal and external liquidity mapping.
Helps traders anticipate stop hunts and engineered price moves.
💰| Trend Line Liquidity Zones
Trendlines often act as liquidity traps. This tool automatically detects zones where price may sweep liquidity resting along diagonal support/resistance levels—commonly used in smart money and stop-hunting strategies.
💎| Imbalance Concepts (MTF) with Multiple Mitigation Methods
Maps out price imbalances (Fair Value Gaps) across multiple timeframes, which often act as magnets for price.
Includes several mitigation techniques to assess whether an imbalance has been filled or still holds relevance—ideal for refining entry and exit zones.
✨| Fair Value Gaps (FVGs)
These represent areas where price moved too aggressively, leaving inefficiencies in the market. The toolkit identifies FVGs in real time, often aligning with institutional re-entry zones for trend continuation or reversals.
🪙| Strong/Weak Highs & Lows
Automatically differentiates between strong and weak highs/lows based on how price interacts with them.
Strong levels suggest continuation.
Weak levels signal vulnerability and potential for being swept.
This provides critical confluence when combined with structure and liquidity analysis.
💹| Premium & Discount Zones
Defines whether price is trading in a premium (overvalued) or discount (undervalued) zone relative to a key range (often based on swing structure). These zones help you frame entries in alignment with institutional pricing models.
💷|Previous Highs/Lows
Tracks and plots important historical levels, including:
Daily High/Low, Monday’s High/Low, Weekly, Monthly, and Quarterly Highs/Lows
These levels are frequently used as targets or reversal zones due to their psychological and algorithmic importance in institutional trading.
Our Price Action Toolkit offers a powerful, data-driven edge for traders who rely on structure, liquidity, and institutional-level insights. By combining advanced market logic with real-time automation, it equips you to read the market with greater clarity, precision, and confidence—across any timeframe or asset. Whether you're trading breakouts, reversals, or liquidity sweeps, this toolkit adapts to your style and sharpens your edge in every market condition.
3CRGANG - CANDLE CLOSE TIMER3CRGANG - CANDLE CLOSE TIMER
This indicator displays a timer for the current candle’s close and a multi-timeframe (MTF) timer table, showing the time remaining for various timeframes. It supports customizable timezones, visualization settings, and alerts for new candle openings and pre-close notifications, with filters for trading sessions and holidays.
Features:
Candle Timer: Displays the time remaining until the current candle closes, with color-coded visuals based on candle direction (green for up, red for down, gold when nearing close).
MTF Timer Table: Shows time remaining for multiple timeframes (M5, M15, M30, H1, H4, D, W, M, Q, Y) with a gradient-colored progress bar (green to red as time decreases).
Timezone Support: Choose from a wide range of timezones to align timer and alerts with your local time.
Visualization Options: Select device template (Desktop, Tablet, Mobile) and color theme (Light or Dark) for optimal display.
Alerts: Configurable alerts for new candle openings and pre-close thresholds across multiple timeframes, with session and holiday filters.
Session and Holiday Filters: Supports major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE) with holiday schedules and half-day considerations.
Do Not Disturb (DND): Set DND periods to suppress alerts during specific hours.
Time Settings:
Timezone: Select from a list of global timezones (e.g., UTC+3 Jerusalem, UTC-4 New York).
Time Format: Choose between Standard (12-hour with AM/PM) or Military (24-hour) time.
Visualization Setup:
Device: Select Desktop, Tablet, or Mobile template to adjust table sizes.
Color Theme: Choose Light or Dark theme for visual elements.
Timer Dashboard:
Timer Table Position: Set the position of the main timer table (e.g., top-right, bottom-center).
MTF Timer Dashboard:
Hide MTF Timer Table: Toggle visibility (off by default on Mobile template).
MTF Timer Table Position: Set position for the MTF timer table.
Offset Table Position: Adjust the Y-axis offset for the MTF table.
Notifications Settings:
Enable Alerts: Toggle alerts for Yearly, Quarterly, Monthly, Weekly, Daily, H4, H1, M30, and M15 timeframes.
Pre-Alert Threshold: Set the percentage of candle duration remaining for pre-close alerts (0–100%).
DND Settings:
Weekend Alerts: Enable/disable alerts during weekends.
DND Mode: Set start and end times for suppressing alerts.
Session Alerts Filter:
Holiday Alerts: Enable/disable alerts on exchange holidays.
Exchange Alerts: Toggle alerts for NYSE, LSE, FSE, SSX, TSE, and HKSE sessions.
Notes:
The indicator supports various asset types (stocks, forex, futures, crypto, commodities, indices) with tailored session detection.
The MTF timer table is hidden on Mobile template by default to optimize screen space.
Alerts respect user-defined session filters, holiday schedules, and DND settings for major exchanges.
Ensure sufficient chart history for accurate timeframe calculations.
Use the settings to customize timer display, alert behavior, and session filters to match your trading strategy.
Crypto Auto Trading Bot by MudraMinerOverview
The Crypto Auto Trading Bot is a powerful TradingView indicator tailored for cryptocurrency day trading. It combines Heikin Ashi candles, Exponential Moving Averages (EMAs), volume analysis, and an optional Supertrend filter to generate reliable buy, sell, and exit signals. This indicator is designed to help traders identify high-probability entry and exit points in volatile crypto markets while minimizing false signals through trend and volume confirmation.
Key Features
Heikin Ashi Smoothing : Utilizes Heikin Ashi close prices on a 15-minute timeframe to smooth price action and enhance trend identification.
Dual EMA System: Employs a fast moving and slow moving EMA to confirm short-term momentum and long-term trends.
Volume Filter : Ensures signals occur during higher-than-average volume to avoid low-liquidity traps.
Supertrend Confluence : Optional toggle to require Supertrend confirmation for stronger buy/sell signals.
Position Management : Prevents multiple entries without exits, ensuring disciplined trading.
Visuals & Alerts : Clear "BUY," "SELL," and exit ("E") labels with customizable alerts for seamless TradingView integration.
How to Use
Apply the Indicator: Add the "Crypto Auto Trading Bot" to your TradingView chart (e.g., SOL/USDT or other crypto pairs).
Supertrend Filter : Toggle on/off via the "Use Supertrend Filter" input to require Supertrend confirmation.
Interpret Signals:
BUY (Green label below bar): Signals a potential long entry.
SELL (Red label above bar): Signals a potential short entry.
Exit Long/Short (Green/Red "E"): Indicates when to close existing positions.
Trading Application : Use signals for manual trading, backtesting with TradingView’s strategy tester, or set up alerts for automated trading.
Chart Compatibility : Works on any chart timeframe, with MAs and Heikin Ashi calculated on a fixed 15-minute timeframe for consistency. Suitable more for the day traders.
Trading Logic
The indicator uses a combination of trend detection, momentum, volume, and optional Supertrend confirmation to generate signals. Below is the trading logic for taking and exiting positions:
Trend Detection:
Uptrend: When the Heikin Ashi close price is above the slow moving EMA, indicating bullish market conditions.
Downtrend: When the Heikin Ashi close price is below the slow moving EMA, indicating bearish market conditions.
Position Management ;
The indicator uses a one-time gating mechanism to track whether you are in a long or short position.
Only one position (long or short) can be active at a time, preventing multiple entries without an exit.
A new buy signal closes any existing short position and opens a long position, and vice versa for sell signals.
Notes for Traders
Customization: The only user-adjustable settings are the timeframe (default: 15 minutes) and the Supertrend filter toggle. Other parameters are fixed for simplicity but can be modified in the code if needed.
Market Suitability: Optimized for cryptocurrency markets (e.g., BTC/USDT, ETH/USDT) but can be tested on other volatile assets.
Risk Management: Always use proper position sizing, stop-losses, and risk-reward ratios. Backtest the indicator thoroughly to understand its performance in different market conditions.
Performance: The indicator combines trend, momentum, and volume filters to generate high-probability signals, with the optional Supertrend adding further confirmation. However, no indicator guarantees profits—combine with your own market analysis.
Disclaimer
This indicator is provided for educational and informational purposes only. Trading cryptocurrencies carries significant risk, and past performance does not guarantee future results. Always conduct thorough testing and consult with a financial advisor before trading.
[HTF Entry Model+] @shulktrades [Free Trial]“Stop overanalyzing. Wait for the signal”
created by @shulktrades
from 9/10 00:00 to 9/13 23:59
Timeframe alignment has never been easier. Identify the algorithmic signature on any timeframe. Futures, Stocks, Crypto.
-Plots Entry Model Display after HTF confirmation so you can be confident in the direction of price.
-Allows to choose from Auto/Fixed HTF selection so you can do HTF or current timeframe.
-Allows specific proprietary algorithmic time based sessions to be ON/OFF
-Allows to choose HTF Bull/Bear Colors
-Allows to change the length of the Display Lines
Adaptive Nadaraya-Watson Envelope with Multi-Timeframe Analysis# Adaptive Nadaraya-Watson Envelope with Multi-Timeframe Analysis
This indicator implements kernel regression analysis using Nadaraya-Watson estimation with comprehensive multi-timeframe capabilities and dual rendering modes for enhanced market analysis.
### Core Features
**Dual Mode Operation**: Offers both repainting and non-repainting envelope calculations with independent display controls. Users can view either mode individually or both simultaneously for comparative analysis.
**Multi-Timeframe Integration**: Supports up to 5 configurable timeframes with proportional scaling capabilities and harmonic relationship maintenance. Each timeframe can be independently enabled with individual display controls.
**Adaptive Kernel Regression**: Utilizes Gaussian kernel weighting with adjustable bandwidth parameters to create dynamic support and resistance zones that adapt to market conditions.
**Smart Color System**: Features multiple color themes including Electric Pulse, Ocean Depth, Fire Gradient, Cyberpunk, Forest Zen, Sunset Vibes, and Ice Crystal for timeframe hierarchy visualization.
### Configuration Options
The indicator provides extensive customization including bandwidth adjustment, multiplier scaling, timeframe selection with proportional multipliers, authentication mode toggle for gap handling, center line display controls, and comprehensive color scheme selection.
**Performance Optimization**: Multiple rendering approaches including polyline drawing for smooth curves and optimized line management for system performance balance.
### Technical Implementation
Built using advanced Pine Script techniques with optimized multi-timeframe data handling, efficient memory management, and intelligent label positioning. The system employs Gaussian window functions for statistical accuracy in envelope calculations.
### Practical Applications
Suitable for trend analysis, dynamic support/resistance identification, multi-timeframe alignment assessment, and kernel regression-based market structure analysis. The envelope boundaries provide adaptive price levels while multi-timeframe analysis offers broader market context.
### Usage Considerations
Multi-timeframe calculations may experience data delays during low-liquidity periods. Performance features allow users to balance visual quality with system responsiveness. The indicator works across all timeframes with adequate historical data for kernel calculations.
**Disclaimer**: This indicator is for educational and analytical purposes only. Kernel regression analysis and multi-timeframe envelope calculations are based on historical data and mathematical models that do not guarantee future price movements. Users should conduct thorough testing before incorporating this tool into their analysis framework.
Multi-Timeframe EMA Suite with Nadaraya-Watson Envelope# Multi-Timeframe EMA Suite with Nadaraya-Watson Envelope
This indicator combines multi-timeframe moving average analysis with adaptive envelope calculations for comprehensive trend assessment across multiple time horizons.
## Core Features
**Multi-Timeframe Moving Average Analysis**: Displays multiple exponential moving averages (EMA), weighted moving averages (WMA), and simple moving averages (SMA) across 5 configurable timeframes.
Users can select from common periods including short-term, medium-term, and long-term averages with individual enable/disable controls for each timeframe and average type.
**Nadaraya-Watson Adaptive Envelope**: Implements kernel regression-based envelope calculations with both repainting and non-repainting modes. The envelope uses Gaussian weighting functions to create dynamic upper and lower boundaries that adapt to price movement patterns. Users can adjust bandwidth and multiplier parameters to control envelope sensitivity.
**Dynamic Price Labeling**: Automatic price display system with intelligent positioning algorithms to prevent label overlaps across different timeframes. Labels show current moving average values for enabled timeframes with customizable spacing and offset controls.
**Multi-Timeframe Trend Assessment**: Systematic evaluation of market direction using the relationship between price position and moving average alignment across all enabled timeframes. The assessment considers moving average ordering and price positioning relative to key levels.
**Comprehensive Data Table**: Organized display showing all moving average values across timeframes in a compact table format with color-coded values and adjustable sizing options.
## Configuration Options
The indicator offers timeframe selection (hourly, daily, weekly, monthly periods), individual moving average length customization, envelope parameter adjustment, label positioning controls, table sizing options, and complete visual customization. Users can enable any combination of moving averages and timeframes based on their analysis requirements.
## Technical Implementation
Built using Pine Script v6 with optimized multi-timeframe security requests and efficient rendering systems. The indicator uses tuple-based data retrieval for performance optimization and dynamic table management to balance comprehensive analysis with chart loading speed.
## Practical Applications
Suitable for trend confirmation across multiple timeframes, identification of dynamic support and resistance levels through envelope boundaries, multi-timeframe market structure analysis, and systematic trend direction evaluation. The combination of traditional moving averages with adaptive envelope technology provides both classical technical analysis and modern algorithmic boundary detection.
## Usage Considerations
Multi-timeframe analysis may experience data delays during low-liquidity periods. The envelope repainting mode provides current analysis but values may change with new data, while non-repainting mode offers consistent historical values. Performance optimization features allow users to balance analysis detail with system responsiveness.
**Disclaimer**: This indicator is for educational and analytical purposes only. Multi-timeframe moving average analysis and envelope calculations do not guarantee future price movements. Users should conduct thorough testing and validation before incorporating this tool into trading decisions. Past performance of trend patterns and envelope boundaries does not predict future results.
[LTS] LHAMA Consolidation Detector ProLHAMA Consolidation Detector Pro
The LHAMA (Low-High Adaptive Moving Average) Consolidation Detector Pro is an advanced technical analysis tool that displays up to 6 adaptive moving averages with automatic slope detection and visual consolidation identification. This indicator helps traders identify trending versus sideways market conditions across multiple timeframes simultaneously.
What is LHAMA?
LHAMA (pronounced "llama" 🦙) is an adaptive moving average that responds dynamically to market conditions by monitoring when price breaks above recent highs or below recent lows. Unlike traditional moving averages that use fixed smoothing factors, LHAMA increases its responsiveness during trending periods and becomes more stable during consolidation phases.
Key Features:
Up to 6 independent LHAMA lines with customizable parameters
Multi-timeframe analysis - each line can use different timeframes
Automatic slope detection and normalization (works across all instruments without manual adjustment)
Dynamic color coding: bullish (uptrend), bearish (downtrend), and flat (consolidation) states
Optional volume weighting for increased responsiveness during high-volume periods
Daily reset functionality to handle overnight gaps (useful for futures markets)
Optional cloud display around each LHAMA line for enhanced visual clarity
Optimized performance - disabled lines consume zero computational resources
How to Use:
Trend Identification: Easily identify when a move is significant by checking the color of the LHAMA line
Consolidation Detection: Even if price seems to be moving in a trend, the LHAMA line can help you determine if it is meaningful movement or just noise.
Multiple Timeframe Analysis: Enable multiple LHAMA lines with different lengths and timeframes to see trend alignment
Support/Resistance: LHAMA lines often act as dynamic support and resistance levels
Settings Explanation:
Length: Period for LHAMA calculation (shorter = more responsive, longer = smoother)
Volume Weight: Makes LHAMA more responsive during high volume periods
Color Sensitivity: Global setting that determines how quickly colors change based on slope angle. This lets you choose just how flat a "flat" line actually is.
Daily Reset: Optionally resets LHAMA to current price at specified time to avoid drift during session gaps.
Cloud Display: Shows volatility-based bands around LHAMA lines using ATR or Standard Deviation
Timeframe: Each LHAMA line can analyze a different timeframe independently.
Colors: Each LHAMA line can be customized with its own distinct colors for clean, easy visuals.
Technical Details:
The indicator uses a proprietary adaptive algorithm that:
Monitors price breakouts
Applies volume weighting when enabled
Uses slope normalization for consistent performance across all instruments
Implements efficient conditional processing to minimize computational overhead
Color Logic:
The slope detection system calculates a normalized angle of the LHAMA line. This ensures consistent color behavior whether trading stocks, forex, crypto, or futures without requiring the manual sensitivity adjustments of the basic version of this indicator.
Angles less than 5 degrees (default) are considered "flat" (consolidation)
Steeper angles transition smoothly between flat and trend colors
The Sensitivity and Length settings allow fine-tuning for different trading styles
Best Practices:
Start with LHAMA 1 enabled using default settings to understand the indicator
Enable volatility bands to help determine possible TP/SL placement
Use multiple LHAMA lines with different lengths (e.g., 14, 34, 89) or time frames for comprehensive analysis
Combine with other technical analysis tools for confirmation
Adjust the Color Sensitivity setting based on your preferred responsiveness
Enable Daily Reset for instruments with significant overnight gaps
This indicator is suitable for all markets and timeframes, providing traders with a sophisticated tool for identifying market structure and potential trading opportunities through advanced adaptive moving average technology.
