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.
Multitimeframe
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.
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.
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")
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.
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.
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.
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")
Monthly Background (custom month-start)Monthly Background (custom month-start) create by CHATGPT FREE ver.
TPO Levels [VAH/POC/VAL]Poor H/L, Single Prints& Naked POCs
🎯 Key Features
📊 Multi-Timeframe Market Profile
Daily, Weekly, and Monthly session analysis
Automatic session detection and profile calculation
Historical session preservation up to 20 sessions
📈 Value Area Analysis
Value Area High (VAH) - Upper boundary of 70% activity
Point of Control (POC) - Most traded price level
Value Area Low (VAL) - Lower boundary of 70% activity
Visual Value Area box with customizable transparency
🎯 Naked Points of Control (nPOC)
Daily nPOC tracking with orange lines
Weekly nPOC (WnPOC) visible on all timeframes
Monthly nPOC (MnPOC) visible on all timeframes
Smart POC combining for nearby levels (reduces clutter)
Auto-removal when price touches naked POC
🟪 Single Print Detection
Daily single prints - Purple boxes
Weekly single prints - Blue boxes (persist on daily charts)
Monthly single prints - Teal boxes (persist on daily charts)
Automatic removal upon price touch
Extend right for active monitoring
⚠️ Poor Structure Identification
Poor Highs - Weak resistance (2+ TPOs at high)
Poor Lows - Weak support (2+ TPOs at low)
Pink dashed lines for easy identification
Historical poor structure tracking
Auto-removal when price breaks structure
🔥 Market Generated Information
Buying/Selling tail detection (disabled by default)
Previous session VAH/POC/VAL levels
Clean professional appearance
Minimal chart clutter design
*Default settings were set for BINANCE:BTCUSDT.P
My kind regards to those who sell this indicator for a monthly subscription 😊
Multi-Timeframe EMA Analysis SuiteThis comprehensive multi-timeframe moving average analysis tool provides systematic trend evaluation across five configurable timeframes with advanced kernel regression envelope technology for dynamic boundary detection.
Core Innovation - Multi-Timeframe EMA System:
The primary functionality displays multiple exponential moving averages (9, 21, 30, 50, 100, 200), weighted moving average (14), and simple moving average (200) across customizable timeframes including 1H, 4H, Daily, Weekly, and Monthly periods. Each timeframe and moving average can be individually enabled or disabled based on analysis requirements.
Advanced Features:
Intelligent label positioning algorithms with automatic overlap prevention across multiple timeframes
Dynamic offset calculation maintaining readability when price levels converge
Comprehensive data table displaying all moving average values with color-coded formatting
Real-time market status evaluation categorizing conditions from "Strong Bullish" to "Strong Bearish"
Performance-optimized rendering with adjustable detail controls
Technical Implementation:
Built using Pine Script v6 with optimized multi-timeframe security requests through tuple-based data retrieval
The system implements efficient memory management and dynamic table systems for responsive chart performance during complex multi-timeframe calculations
Original developments include intelligent label spacing algorithms, dynamic offset management across timeframes, and comprehensive market status evaluation logic using moving average alignment principles
Enhanced Envelope System:
Incorporates and significantly extends the kernel regression envelope concept originally developed by LuxAlgo in their Nadaraya-Watson Envelope indicator. The mathematical foundation uses Gaussian weighting functions with substantial implementation improvements:
Complete redesign using optimized polyline rendering system for superior performance
Addition of center line calculation and visualization not present in the original
Performance optimization controls with adjustable detail levels
Enhanced label management with real-time value displays
Seamless integration with multi-timeframe analysis capabilities
Configuration Options:
Complete customization including timeframe selection, moving average lengths, envelope parameters, label positioning, table sizing, and visual styling. Users can create personalized analysis setups tailored to specific trading timeframes and analytical preferences.
Practical Applications:
Suitable for trend confirmation across multiple timeframes, identification of dynamic support and resistance levels, multi-timeframe market structure analysis, and systematic market direction evaluation
The combination of traditional moving averages with adaptive envelope boundaries provides both classical technical analysis and modern algorithmic boundary detection
Usage Instructions:
Enable desired timeframes and moving averages based on your analysis period
The envelope provides dynamic support/resistance levels while moving averages indicate directional bias. Use repainting mode for current analysis or non-repainting mode for consistent historical signals. Adjust performance settings based on system requirements and analysis detail needs
Educational Purpose:
This indicator is designed for educational and analytical purposes. Users should conduct thorough testing and validation before incorporating this tool into trading decisions.
Multi-Timeframe Crypto Market Trend Detector — Bull, Bear, or NeThis indicator is designed to help traders quickly identify whether the crypto market is in a Bullish, Bearish, or Neutral phase by combining trend analysis across multiple timeframes.
📊 How it works:
Uses 200-period SMA as the primary trend reference.
Evaluates Weekly (1W) and Daily (1D) trends separately.
Confirms the trend direction with RSI and an optional Fear & Greed Index value.
Shows a color-coded table on the chart for quick visual identification of the market phase.
✅ Trend logic:
Bullish = Price above SMA200 + RSI > 50 or Fear & Greed > 50
Bearish = Price below SMA200 + RSI < 50 or Fear & Greed < 50
Otherwise → Neutral
🛠 Features:
Dual timeframe analysis (1W macro trend + 1D current trend)
Clean visual table in the top-right corner
Supports manual input of the Fear & Greed Index (update daily from alternative.me)
Works on any crypto pair, including BTC, ETH, and altcoins
⚡ Use case: Align your trades with the macro and daily trends. If both timeframes point in the same direction, signals have higher probability.
Tip: Use this tool alongside volume analysis and support/resistance levels for better accuracy.
👌 If you find this script useful, don’t forget to give it a 👍 and add it to your favorites!
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.
