Technical Probability MetrixTechnical Probability Metrix — Study Material (for TradingView learners)
This document explains, in plain language, what each block of the script does, how the indicators are calculated, and how to read the on-chart dashboard. Use it to learn—not to replace your own analysis or risk management.
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1) What this script is designed to do
Goal: combine multiple classic indicators (RSI, MACD, Stochastic, Volume, VWAP, EMA cross, simple Order-Block band, trend structure, pivots, and Fibonacci context) into:
• a composite trend/probability score
• a clean horizontal dashboard table (status, values, strengths, probabilities)
• alerts for major state changes
It is an overlay study (draws on price chart) and is timeframe-agnostic, with one cross-check on the 15-minute chart for EMA(9/20).
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2) Inputs & configuration
All inputs appear in TradingView’s Settings → Inputs and are grouped for clarity.
Elliott Wave (pivot scaffolding)
• Wave Detection Period (wavePeriod): bars on each side of a pivot. Higher = fewer but stronger pivots.
• Show Wave Labels/Lines (placeholders in this version): toggles for potential future labeling/lines.
• Trend Lookback (trendLookback): length for structural trend checks (HH/HL, linreg slope, bar-up/down counts).
Fibonacci
• Show Fibonacci Levels (style/color reserved here).
• Fib Calculation Lookback (fibLookback): range used to define “swing high/low” context.
Technical Indicators
• RSI Length: default 14.
• MACD Fast/Slow/Signal: 12/26/9.
• Stochastic Length: %K length (with %D = SMA(3) inside the code).
• Volume MA Length: period for volume moving average and relative volume.
• EMA 9/20 Periods: for fast/slow moving averages.
Display
• Show Summary Table: toggles the on-chart dashboard.
• Table Position & Size: choose where and how large.
Probability
• Number of Probability Levels: number of “target steps” (probability ladder).
• Adaptive Target Direction: if enabled, directs the ladder by detected trend.
Colors
Customization for bullish/bearish and Fibonacci tint.
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3) Core calculations & signals
3.1 RSI
• Formula: standard ta.rsi(close, rsiLength) (0–100).
• Interpretation in script:
o >70: Overbought (weighted negatively in score).
o <30: Oversold (weighted positively).
o Else: Neutral.
3.2 MACD
• Formula: ta.macd(close, fast, slow, signal) → returns MACD line, Signal line, Histogram.
• Signal logic:
o Bullish when MACD > Signal and Histogram rising.
o Bearish when MACD < Signal and Histogram falling.
• Use: contributes ±1.5 to the composite score; histogram value shown in table.
3.3 Stochastic (%K/%D)
• Formula: %K = ta.stoch(close, high, low, length); %D = SMA(%K, 3).
• Signal logic:
o Bullish when %K > %D and %K < 80 (up-turn within range).
o Bearish when %K < %D and %K > 20 (down-turn within range).
• Use: mild ±1 weight; value displayed and strength bar shown.
3.4 Volume analysis
• Volume MA: ta.sma(volume, volumeLength).
• Relative volume (volRatio): volume / volMA.
o High volume: volRatio > 1.5 (context for conviction).
• Use: if high volume and green candle → +1.5; if high volume and red → −1.5; else neutral.
3.5 VWAP
• Value: ta.vwap(hlc3).
• Signals:
o Above VWAP: bullish (+1.5).
o Below VWAP: bearish (−1.5).
• Distance % also computed for strength bar: |close − vwap| / close * 100.
3.6 Simple Order-Block band (context proxy)
• Window: highest high / lowest low over 20 bars.
• Midline (obMid): average of band extremes.
• Signals:
o Close > obMid: bullish (+1).
o Close < obMid: bearish (−1).
• Strength %: where current price sits within the band.
Note: This is not a full institutional order-block model—just a mid-band context.
3.7 EMA(9/20) trend & 15-minute cross-check
• On current chart: EMA(9) vs EMA(20) to get distance % (trend strength proxy).
• On 15-minute timeframe (via request.security):
o Bullish cross: EMA9_15 > EMA20_15 (+1.5).
o Bearish cross: EMA9_15 < EMA20_15 (−1.5).
• Why multi-TF: filters noise on lower TFs and adds confirmation on higher.
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4) Composite Trend Model
4.1 Structure & momentum features
• Price position within the trendLookback range.
• Linear regression slope over trendLookback.
• MA trend: SMA(20) vs SMA(50).
• Swing structure: compares recent 20-bar HH/HL vs prior 20-bar HH/HL.
• Bar dominance: counts up-bars vs down-bars across lookback.
4.2 TrendScore (cumulative)
• Adds/subtracts points for:
o Price position (top/bottom of lookback range),
o LinReg slope sign,
o MA(20/50) relationship,
o Swing structure (HH+HL or LH+LL) with double weight,
o Up-bar dominance.
• Classification:
o > +1 → Bullish trend
o < −1 → Bearish trend
o else → Neutral
This TrendScore also contributes ±1.5 into the totalScore separately (trendWeight) to reflect overall regime.
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5) Pivot detection (Elliott-style scaffolding)
• Purpose: capture recent significant highs/lows using ta.pivothigh/low with wavePeriod.
• Saves the last ~14 highs and lows (values and their bar indexes).
• Use here: not labeling Elliott waves, but used to compute wavePositionWeight:
o Finds the most recent high/low pair and locates current price within that range.
o If price sits in the lower 38.2% of that range → +2; between 38.2–61.8% → +1; above 61.8% → −1 (mean-reversion bias).
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6) Fibonacci context
• Pulls highest high / lowest low over fibLookback to understand the active swing.
• Color options are provided; actual level plotting is minimal in this version.
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7) Probability engine
7.1 TotalScore and base probability
• TotalScore = sum of all component weights:
o RSI, MACD, Stoch, Volume, VWAP, OB, EMA(15m), Wave position, and Trend regime.
• Normalization: maps TotalScore to 0–100% via a maxScore (15) to create probabilityBase.
7.2 Individual indicator probabilities (for the table)
• Each indicator also outputs its own probability (e.g., bullish MACD ≈ 70%, bearish ≈ 30%, neutral ≈ 50%).
• The last column shows the Overall Probability (probabilityBase).
7.3 Target ladder (probability steps)
• On the final bar, the script builds a ladder of numTargets probabilities that taper with distance.
• Direction:
o If Adaptive: follows the detected trend (bullish → up targets; bearish → down).
o If not: direction depends on the sign of TotalScore.
• The first target’s probability is also highlighted in the last column’s cells.
The ladder is a confidence heuristic, not a price target generator. It gives you a decaying probability as you aim further from current conditions.
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8) The on-chart horizontal dashboard
The dashboard is a table with:
• Title row
• Headers: RSI, MACD, STOCH, VOLUME, TREND, VWAP, OB, EMA, SIGNAL, PROBABILITY
• Row: STATUS
Shows categorical status (e.g., OVERBOUGHT, BULLISH). Background/text colors follow bullish/bearish/neutral logic.
• Row: VALUE
Numerical readouts: RSI, MACD histogram, %K, Relative Volume (×), TrendScore, VWAP distance %, OB strength %, EMA distance %, and TotalScore.
• Row: STRENGTH
Text-based progress bars (█░) scaled to each metric’s natural range (e.g., RSI 0–100, VWAP distance cap 5%).
• Row: PROBABILITY
Per-indicator probability (%) with color emphasis when >70 (bullish) or <30 (bearish).
The rightmost column shows the Main overall probability and a bar for the first target.
Reading tips
• Think of the STATUS row as directional state, VALUE as magnitude, STRENGTH as confidence, and PROBABILITY as a decision helper.
• Look for confluence: several green/bullish blocks + high overall probability + bullish TrendScore is stronger than one isolated signal.
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9) Alerts included
The study raises alerts when:
• Strong Buy: TotalScore > 5
• Strong Sell: TotalScore < −5
• Trend flips: transitions into bullish or bearish trend regime
• EMA(9/20) 15-min crosses: bullish or bearish
Add these in TradingView’s Alerts panel after applying the indicator to a chart.
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10) Practical usage & tips
• Timeframes: The logic works on any chart; the EMA check consults 15-minute for an extra filter. If your main chart is 15m or higher, this acts as self-confirmation; if you’re on 1–5m, it acts like a higher-TF compass.
• Markets: Works on crypto, equities, indices, FX, futures. For illiquid symbols, volume/OB context may be noisy.
• TrendLookback tuning:
o Scalpers: 50–75 to make the model more responsive.
o Swing: 100–200 for smoother regime classification.
• Volatility consideration: When VWAP distance and EMA distance bars are large, trends may be extended—this is good for trend-following but risky for late entries.
• Mean-reversion cues: RSI oversold + wavePosition in the lower third + neutralizing MACD can be an early bounce setup—but wait for confirmation (e.g., EMA cross change or TrendScore improvement).
• Confluence matters: Treat any single block as informational. Trade decisions should rely on multiple aligned signals + risk plan.
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11) Limitations & what this script does not do
• It does not mark institutional order-blocks, fair-value gaps, or full Elliott counts—only simplified contextual proxies.
• Probabilities are heuristic (feature-weighted), not calibrated win-rate forecasts.
• Repaints? Pivot functions confirm after wavePeriod bars; probabilities are computed on the last bar for the table. The EMA 15m check uses security() with default settings (no special bar merge tricks)—be mindful when mixing timeframes.
• Backtest results (if you wrap this into a strategy) will depend heavily on your entry/exit rules and risk controls.
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12) Quick checklist before using live
1. Confirm trend regime (TrendScore row + STATUS).
2. Check MACD/RSI/Stoch alignment.
3. Look at Relative Volume and VWAP location.
4. Confirm EMA(9/20) 15m bias agrees with your plan.
5. Ensure overall probability is supportive (>60% for trend plays, for example).
6. Size the trade with pre-defined stop, target, and max risk rules.
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13) Glossary (fast refresher)
• RSI: momentum oscillator; overbought/oversold zones.
• MACD: trend-momentum, line/Signal cross and histogram slope.
• Stochastic: momentum vs. recent range; %K/%D cross.
• VWAP: volume-weighted mean price; intraday fair value anchor.
• EMA: exponential MA; faster response than SMA.
• Linear Regression Slope: directional drift estimate.
• Relative Volume: current volume vs. average—conviction proxy.
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14) aiTrendview Disclaimer
This indicator and its outputs are intended solely for education and research. They do not constitute financial, investment, or trading advice. Markets involve substantial risk, including the risk of loss. Past performance and on-chart probabilities are not guarantees of future results. You are responsible for your own decisions, position sizing, and risk management. aiTrendview, its contributors, and affiliates are not liable for any losses incurred from the use of this script or the information derived from it. Always validate signals with your own analysis and consult a licensed financial professional if needed.
Macdivergence
QUANTUM MARKET ANALYZER X7QUANTUM MARKET ANALYZER X7 — Study Material (Learning & Teaching Guide)
What this tool is (and isn’t)
QUANTUM MARKET ANALYZER X7 is a multi-factor TradingView indicator that summarizes many classic signals into one dashboard. It does not predict the future or guarantee profits. It simply scores what is happening now using oscillators, moving averages, order-block behavior, trendline/channel context, Supertrend bias, and volume/flow clues—so you can make structured, risk-aware decisions.
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Quick start (for brand-new traders)
1. Add the indicator to a chart.
2. Pick an Analysis Timeframe (e.g., 60-min for day trading, 4-hour for swing).
3. Read the Summary tile first; then check Oscillators → MAs → OB/Trendline/Supertrend → Volume.
4. Take trades only when multiple sections agree, and always plan stop loss and size before entry.
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How the dashboard is built (section by section)
Below you’ll learn what each section measures, how the numbers are produced, and how to interpret them. The script converts each sub-signal into a small integer (e.g., +2, +1, 0, −1, −2). These are summed into section totals and then into a Summary score.
1) Summary (the combined score)
• What it is: The grand total of all sections (Oscillators + Moving Averages + Advanced: OB, Trendline/Channel, Supertrend, Volume).
• How it’s labeled:
o Large positive total → BUY / STRONG BUY
o Around zero → NEUTRAL
o Large negative total → SELL / STRONG SELL
• How to use: Treat it as a headline, not a trigger. Confirm with the sections below and price action.
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2) Oscillators (momentum / overbought–oversold)
Inputs used on your chosen timeframe:
• RSI(14):
o 70 → bearish pressure (−)
o <30 → bullish pressure (+)
• Stochastic (14):
o 80 overbought (−), <20 oversold (+)
• CCI(20):
o +100 (−), <−100 (+)
• Williams %R(14):
o −20 overbought (−), <−80 oversold (+)
• MACD(12,26,9):
o MACD line > Signal → (+), below → (−)
• Momentum(10): >0 → (+), <0 → (−)
• ROC(9): >+2% → (+), <−2% → (−)
• Bollinger Bands(20,2):
o Price > Upper band → (−), < Lower band → (+)
How it scores: Each item contributes between −2 and +2 (or −1/+1 for some). The Oscillator total is their sum.
How to use: Oscillators excel for timing. Favor longs when the total is clearly positive and exiting or avoiding when clearly negative.
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3) Moving Averages (trend/structure)
MAs used: SMA(10/20/50/100/200) and EMA(10/20/50).
Scoring logic: Compares price vs each MA:
• Price > MA by >2% → +2 (strongly bullish)
• Price > MA by 0–2% → +1
• Price < MA by 0–2% → −1
• Price < MA by >2% → −2
How to use: A clearly positive MA total suggests trend alignment for longs; clearly negative favors shorts or flat. Mixed readings → treat as range/transition.
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4) Order-Block (OB) breakout analysis (support/resistance from clustered reactions)
What it approximates: The script searches a lookback window for pivot-like candles and counts repeated “touches” near that level (within ±0.2%) to infer support (bullish OB) or resistance (bearish OB).
Settings you can tune
• OB Lookback Period: how far back to search.
• Min OB Touches: more touches = stronger level.
Signals produced
• BULLISH BRK: Price crosses above the most recent bearish OB (resistance → breakout).
• BEARISH BRK: Price crosses below the most recent bullish OB (support → breakdown).
• ABOVE SUP / BELOW RES: Price position relative to the latest OB levels.
How to use: Use OB with MAs and Volume. Best when a breakout comes with trend alignment and volume expansion.
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5) Trendline / Channel analysis (context envelope)
Rather than a single diagonal line, this module forms a dynamic channel:
• Finds highest high and lowest low over your Trendline Lookback.
• Builds a midline = (highest + lowest)/2.
• Creates an upper/lower channel by multiplying the range with Channel Width Multiplier.
Signals produced
• UPPER BRK: Price > upper channel (bullish expansion)
• LOWER BRK: Price < lower channel (bearish expansion)
• ABOVE MID / BELOW MID: Bias zone inside channel
How to use: Treat UPPER/LOWER breaks as momentum context. Confirm with MAs and Volume before acting.
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6) Supertrend (ATR-based bias)
• Uses ta.supertrend(ATR Multiplier, ATR Period) on your analysis timeframe.
• Signal:
o BULLISH when Supertrend flips to trend-up state
o BEARISH when it flips to trend-down
Tuning tips:
• Higher ATR Multiplier (e.g., 6) → fewer, higher-quality flips.
• Lower multiplier → more responsive, more noise.
How to use: Use Supertrend as a trend filter. Avoid fighting it unless higher-timeframe context disagrees and you have strong confluence.
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7) Volume/Flow analysis (participation & pressure)
This section combines several volume-based tools:
1. Volume Spike vs MA
o Volume MA Period (default 20)
o Volume Spike Threshold (e.g., 1.5×)
o If current volume / MA > threshold → spike.
2. OBV vs OBV-MA → Accumulation (+) / Distribution (−)
3. VPT vs VPT-MA → Price-volume trend alignment (+/−)
4. MFI(14): >70 (−), <30 (+)
5. Accumulation/Distribution vs its MA → (+/−)
Scoring:
• Big spike with up bar → +2; with down bar → −2
• Each of OBV, VPT, MFI, A/D adds +1 or −1
Interpretation labels:
• HIGH ACC / ACCUM → constructive flow
• HIGH DIST / DISTRIB → selling pressure
• NEUTRAL → no edge
How to use: Favor setups where directional signals + trend + volume point the same way.
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Putting it together — a repeatable reading order
1. Summary: What’s the combined bias?
2. Oscillators: Is momentum supportive or stretched?
3. MAs: Is price aligned with the trend structure?
4. OB & Trendline/Channel: Are we breaking key levels/zones?
5. Supertrend: Is the higher-level bias with you or against you?
6. Volume: Is there participation to confirm the move?
Only act when at least 3–4 sections agree and you can define a logical stop and position size.
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Parameter tuning (step-by-step)
1. Choose timeframe:
o 15–60m for active trading; 4h–1D for swing.
2. Oscillators:
o Keep defaults first; later tighten or loosen thresholds only if you’ve tested.
3. Moving Averages:
o The script’s built-in 0–2% bands around each MA are sensible.
o If your market is very volatile, you can consider widening the 2% threshold to reduce whipsaws (requires code edit).
4. Order Blocks:
o Start with OB Lookback ~50 and Min Touches = 2.
o Increase touches for fewer, stronger zones.
5. Trendline/Channel:
o Longer Trendline Lookback and smaller Channel Width → tighter channel (more breaks).
o Shorter lookback and larger width → fewer breaks.
6. Supertrend:
o If you get too many flips, raise ATR Multiplier.
o If it’s lagging, lower it slightly.
7. Volume:
o For quieter instruments, reduce the Threshold (e.g., 1.2×).
o For very liquid/active markets, 1.5–2.0× works well.
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Example playbooks (for practice)
A) Pro-trend long continuation
• Summary: BUY or STRONG BUY
• MAs: clearly positive
• Supertrend: BULLISH
• OB/Trendline: ABOVE MID or UPPER BRK
• Volume: ACCUM or HIGH ACC
Plan: Enter on a minor pullback; stop below recent structure; scale out at logical resistance.
B) Mean-reversion short (cautious)
• Oscillators: multiple overbought readings (RSI>70, price > BB upper)
• MAs: still positive (trend up), so this is countertrend
• Volume: no spike
Plan: If you must, take smaller size, tighter stop, faster targets. Prefer waiting for alignment instead.
C) Breakout with confirmation
• OB: BULLISH BRK of a known resistance
• Trendline/Channel: UPPER BRK
• Volume: spike with up bar
• Supertrend: recently flipped up
Plan: Enter on retest or structured continuation; define stop under breakout level.
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Common pitfalls to avoid
• Acting on one section alone. Confluence matters.
• Chasing after long candles without volume follow-through.
• Ignoring timeframe alignment. Check the next higher timeframe.
• Oversizing trades just because “Summary = Strong Buy/Sell.”
• Moving stops farther instead of accepting a planned loss.
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Practice & evaluation routine
1. Replay mode (TradingView Bar Replay) to practice reading the tiles in order.
2. Journal each trade: which sections agreed, where stop/target were, outcome.
3. Weekly review: Were losing trades missing confirmation? Did you respect size rules?
4. Iterate cautiously: Change one setting at a time and observe for a week.
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Frequently asked questions
Q: Is the Summary score weighted?
A: Each sub-signal contributes small integers; totals from Oscillators, MAs, and Advanced sections are added without fancy weighting, keeping it transparent.
Q: Can I use this as a standalone system?
A: It’s best used as a decision support layer with your own risk rules, not as a mechanical “buy/sell” machine.
Q: Which timeframe is best?
A: The one that matches your holding period. Always confirm with at least one higher timeframe.
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Suggested classroom flow (for teaching)
1. Session 1: Oscillators only → identify good vs stretched momentum.
2. Session 2: Moving Averages → trend structure and bias.
3. Session 3: OB + Trendline/Channel → location and breakouts.
4. Session 4: Supertrend + Volume → confirmation and participation.
5. Session 5: Confluence building → case studies and journaling.
6. Session 6: Risk management, sizing, and review habits.
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Disclaimer aiTrendview (please read)
This indicator and study material are provided for educational and research purposes only. They do not constitute financial advice, investment recommendations, or a promise of performance. Trading involves substantial risk and may result in losses. Past performance of any method or indicator does not guarantee future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test ideas in a demo environment before using real capital, and consider consulting a licensed financial advisor.
MA + MACD alert TrendsThis is a strategy/combination of warning indicators using 6MA+MACD.
The strategy details are as follows: This is a simple warning strategy created so that we don't have to monitor the candlestick chart too often.
Note: This isn't an entry strategy; it's a signaling strategy for upcoming trends. For maximum efficiency, we should incorporate more formulas into the command. In the case below, I use Fibonacci to enter the command.
This strategy setting works for a 15-minute time frame, but it can still work for different time frames.
It has been working well with Gold and USOIL for the last two years, as well as with currency pairs like EURUSD and many others.
Components:
EMA100 + EMA200 + MA400 + MA800
MACD (timeframe greater than 1 timeframe)
Fibonacci retreat.
Uptrend alert:
Candles on both EMAs (100-200) + 2 SMAs (400-800)
In the previous 80 candles:
EMA100 cross up to EMA200
At the same time, the MACD cross up 0.
The uptrend warning will trigger when EMA6 cuts down to MA10. That's when the price creates the top and we'll wait for the market to go back to the Fibonacci threshold of 0.618 and start buying (or wait for markets to break up the trendline to buy).
Downtrend alert:
Candles are below both EMAs ( 100-200 ) + 2 SMAs ( 400-800 )
In the previous 80 candles:
EMA100 cross down to EMA200
At the same time, the MACD cross down zero.
The downtrend warning will trigger when EMA6 cuts to MA10. That's when the price creates a bottom and we'll wait for the market to go back to the Fibonacci threshold of 0.618 and start selling (or wait for the market to break down the trendline to sell).
Recommended RR: 1:1
If you have any questions please let me know!
RSI BY Josh — Signals )RSI BY Josh – อินดิเคเตอร์ RSI อัจฉริยะ พร้อมสัญญาณ BUY / SELL ทันใจ
คุณเบื่อมั้ยกับการใช้ RSI แบบเดิม ๆ ที่สัญญาณมาช้า หรือไม่แม่นพอ?
RSI BY Josh ถูกออกแบบมาเพื่อแก้ปัญหานั้น!
นี่ไม่ใช่ RSI ธรรมดา แต่มันคือ RSI อัปเกรด ที่เพิ่มระบบแจ้งสัญญาณ BUY / SELL บนกราฟโดยตรง และให้คุณปรับความถี่การแจ้งเตือนได้ตามต้องการ
🔥 จุดเด่น
RSI พร้อมเส้นกราฟ เหมือนใน MT5 ดูง่าย สวยงาม
แจ้งสัญญาณ BUY / SELL ด้วยลูกศรและข้อความชัดเจน
ปรับโหมดได้ 3 แบบ:
Strict – เข้มงวดตามหลัก RSI ดั้งเดิม (30/70)
Loose – ยืดหยุ่น ใช้การดูแรงโมเมนตัม
Aggressive – เร็ว จับทุกการเปลี่ยนเทรนด์
ปรับคูลดาวน์ระหว่างสัญญาณได้ (ลดการแจ้งเตือนถี่เกิน)
ตั้งค่าให้แสดงหรือไม่แสดงข้อความ BUY/SELL ได้
รองรับการแจ้งเตือน (Alert) ทันทีเมื่อเกิดสัญญาณ
✅ เหมาะสำหรับใคร
เทรดเดอร์ที่ใช้ RSI ในการจับจังหวะเข้าออก
คนที่ต้องการสัญญาณชัดเจน ไม่ต้องเฝ้ากราฟตลอด
เหมาะกับทุกสินทรัพย์: Forex, ทองคำ, Crypto, หุ้น
💡 เพียงติดตั้ง RSI BY Josh คุณจะรู้จังหวะซื้อ-ขายได้ง่ายขึ้น เหมือนมีผู้ช่วยบอกสัญญาณให้ตลอดเวลา!
RSI BY Josh – Smart RSI Indicator with Instant BUY/SELL Signals
Tired of using the same old RSI that gives signals too late or lacks accuracy?
RSI BY Josh is designed to solve that problem!
This is not your ordinary RSI – it’s an upgraded RSI with built-in BUY/SELL signals directly on the chart, and you can adjust the signal frequency to your preference.
🔥 Features
RSI Line similar to MT5 – clean and easy to read
Clear BUY / SELL signals with arrows and labels
3 Signal Modes:
Strict – Classic RSI rules (30/70)
Loose – Momentum-based with recent high/low checks
Aggressive – Fast trend change detection
Adjustable cooldown between signals (avoid over-alerting)
Option to show/hide BUY/SELL text
Built-in alert conditions for instant notifications
✅ Perfect For
Traders who use RSI for entry/exit timing
Anyone who wants clear, visual trade signals without watching charts all day
Works with any market: Forex, Gold, Crypto, Stocks
💡 Install RSI BY Josh and never miss a trading opportunity again – like having a personal signal assistant by your side!
Reversal Radar
**Reversal Radar - Multi-Indicator Confirmation System**
This script combines five proven technical analysis methods into a unified reversal signal, reducing false signals through multi-indicator confirmation.
**INDICATORS USED:**
1. ADX/Directional Movement System
Determines trend direction via +DI and -DI comparison. Signal only during downtrend condition (DI- > DI+). Filters out sideways markets.
2. Custom Linear Regression Momentum
Proprietary momentum calculation based on linear regression. Measures price deviation from Keltner Channel midline. Signal on negative but rising momentum (beginning trend reversal).
3. Williams VIX Fix (WVF)
Identifies panic-selling phases. Calculates relative distance to recent high. Signal when exceeding Bollinger Bands or historical percentiles.
4. RSI Oversold Filter
Default RSI < 35 (adjustable 30-40). Filters only oversold zones for reversal setups.
5. MACD Confirmation
Signal only when MACD below zero line and below signal line. Confirms ongoing weakness before potential reversal.
**FUNCTIONALITY:**
The system generates a BUY signal only when ALL activated filters are simultaneously met. Each indicator can be individually enabled/disabled. Flexible parameter adjustment for different markets/timeframes. Reduces false signals through multi-confirmation.
**APPLICATION:**
Suitable for swing trading on higher timeframes (4H, Daily), reversal strategies in oversold markets, and combination with additional confirmation indicators.
Setup: Activate desired filters, adjust parameters to market/timeframe, check BUY signal as entry opportunity. Additional confirmation through volume/support recommended.
**INNOVATION:**
The Custom Linear Regression Momentum is a proprietary development combining Keltner Channel logic with linear regression for more precise momentum detection than standard oscillators.
**DISCLAIMER:**
This tool serves as technical analysis support. No signal should be traded without additional confirmation and risk management.
Double MACD StrategyDouble MACD Strategy (Default Settings)
This automated strategy uses two independent MACD indicators to flip between long and short positions.
How It Works
• Fast MACD (MACD 1) captures rapid micro-trends
• Slow MACD (MACD 2) confirms broader momentum
• Long Entry when both MACD lines cross above their signal lines
• Short Entry when both MACD lines cross below their signal lines
• Existing opposing trades are closed before opening new ones
Default Input Settings
• Fast MACD (MACD 1)
• Fast Length 1: 12
• Slow Length 1: 26
• Signal Length 1: 9
• MA Type 1: EMA
• Slow MACD (MACD 2)
• Fast Length 2: 24
• Slow Length 2: 52
• Signal Length 2: 9
• MA Type 2: EMA
• Position Sizing: 100 % of equity
• Pyramiding: 1 concurrent entry per direction
Usage
1. Apply to any chart on your desired timeframe.
2. Monitor background shading (green for bullish, red for bearish bias).
3. Manage risk with your own stop loss, take profit, and position-sizing rules.
Disclaimer
This script is provided for educational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. All trading involves risk, and any losses incurred are the sole responsibility of the trader.
Chebyshev-Gauss Convergence DivergenceThe Chebyshev-Gauss Convergence Divergence is a momentum indicator that leverages the Chebyshev-Gauss Moving Average (CG-MA) to provide a smoother and more responsive alternative to traditional oscillators like the MACD. For more information see the moving average script:
How it works:
It calculates a fast CG-MA and a slow CG-MA. The CG-MA uses Gauss-Chebyshev quadrature to compute a weighted average, which can offer a better trade-off between lag and smoothness compared to simple or exponential MAs.
The Oscillator line is the difference between the fast CG-MA and the slow CG-MA.
A Signal Line, which is a simple moving average of the Oscillator line, is plotted to show the average trend of the oscillator.
A Histogram is plotted, representing the difference between the Oscillator and the Signal Line. The color of the histogram bars changes to indicate whether momentum is strengthening or weakening.
How to use:
Crossovers: A buy signal can be generated when the Oscillator line crosses above the Signal line. A sell signal can be generated when it crosses below.
Zero Line: When the Oscillator crosses above the zero line, it indicates upward momentum (fast MA is above slow MA).When it crosses below zero, it indicates downward momentum.
Divergence: Like with the MACD, look for divergences between the oscillator and price action to spot potential reversals.
Histogram: The histogram provides a visual representation of the momentum. When the bars are growing, momentum is increasing. When they are shrinking, momentum is fading.
MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD.
Looking for a MACD with real customization power?
We present one of the most complete public MACD indicators available on TradingView.
It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy.
Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading.
Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style.
⯁ WHAT IS THE MACD❓
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ HOW TO USE THE MACD❓
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
______________________________________________________
🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
______________________________________________________
⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : MACD Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed✨ Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed ✨
Take your MACD analysis to the next level with the Advanced MACD Pro - T3 Themed indicator by WhiteStone_Ibrahim! This isn't just another MACD; it's a comprehensive toolkit packed with advanced features, unique T3 integration, and extensive customization options to provide deeper market insights.
Whether you're a seasoned trader or just starting, this indicator offers a versatile and powerful way to analyze momentum, identify trends, and spot potential reversals.
Key Features:
Core MACD Functionality:
Classic MACD Line: Calculated from customizable Fast and Slow EMAs using your chosen source (Close, Open, HLC3, etc.).
Standard Signal Line: EMA of the MACD line, with adjustable length.
Dynamic MACD Line Coloring: Automatically changes color based on whether it's above or below the zero line (positive/negative).
Zero Line: Clearly plotted for reference.
Enhanced MACD Histogram:
Sophisticated Color Coding: The histogram isn't just positive or negative. It intelligently colors based on momentum strength and direction:
Strong Bullish: MACD above signal, histogram increasing.
Weakening Bullish: MACD above signal, histogram decreasing.
Strong Bearish: MACD below signal, histogram decreasing.
Weakening Bearish: MACD below signal, histogram increasing.
Neutral: Default color for other conditions.
Optional Histogram Smoothing: Smooth out the histogram noise using one of five different moving average types: SMA, EMA, WMA, RMA, or the advanced T3 (Tilson T3). Customize smoothing length and T3 vFactor.
🌟 Unique T3 Integration (T3 Themed):
Extra T3 Signal Line (on MACD): An additional, fast-reacting T3 moving average calculated directly from the MACD line. This provides an alternative and often quicker signal.
Customizable T3 length and vFactor.
Dynamic Coloring: The T3 Signal Line changes color (bullish/bearish) based on its crossover with the MACD line, offering clear visual cues.
T3 is also available as a smoothing option for the main histogram (see above).
🔍 Disagreement & Divergence Detection:
Bar/Price Disagreement Markers:
Highlights instances where the price bar's direction (e.g., a bullish candle) contradicts the current MACD momentum (e.g., MACD below its signal line).
Visual markers (circles) appear above/below bars to draw attention to these potential early warnings or confirmations.
Histogram Color Change on Disagreement: Optionally, the histogram can adopt distinct alternative colors during these bar/price disagreements for even clearer visual alerts.
Classic Bullish & Bearish Divergence Detection:
Automatically identifies regular divergences between price action (Higher Highs/Lower Lows) and the MACD line (Lower Highs/Higher Lows).
Customizable pivot lookback periods (left and right bars) for divergence sensitivity.
Plots clear "Bull" and "Bear" labels on the price chart where divergences occur.
🎨 Extensive Customization & Visuals:
Multiple Color Themes: Choose from pre-set themes like 'Dark Mode', 'Light Mode', 'Neon Night', or use 'Default (Current Settings)' to fine-tune every color yourself.
Granular Control (Default Theme): Individually customize colors and thickness for:
MACD Line (positive/negative)
Standard Signal Line
Extra T3 Signal Line (bullish/bearish)
Histogram (all four momentum states + neutral)
Disagreement Markers & Histogram Alt Colors
Divergence Lines/Labels
Zero Line
Toggle Visibility: Easily show or hide the Standard Signal Line and the Extra T3 Signal Line as needed.
🔔 Comprehensive Alert System:
Stay informed of key market events with a wide array of configurable alerts:
MACD Line / Standard Signal Line Crossover
Histogram / Zero Line Crossover
MACD Line / Zero Line Crossover
Bullish Divergence Detected
Bearish Divergence Detected
Bar/Price Disagreement (Bullish & Bearish)
MACD Line / Extra T3 Signal Line Crossover
Each alert can be individually enabled or disabled.
The Advanced MACD Pro - T3 Themed indicator is designed to be your go-to tool for momentum analysis. Its rich feature set empowers you to tailor it to your specific trading style and gain a more nuanced understanding of market dynamics.
Add it to your charts today and experience the difference!
(Developed by WhiteStone_Ibrahim)
Visual ProwessVisual Prowess: Ultimate Visual of Price Action Indicator
Overview
Visual Prowess is a Pine Script indicator that integrates Trend, Momentum, Strength/Weakness, Money Flow, and Volatility into a single, intuitive interface. Scaled from 0 to 100, it provides traders with clear bullish (>50) and bearish (<50) zones. Visual Prowess is made up of several data components which will be explained below. All these components have custom thresholds that lead to Green Dot Buy Signals and Red Dot sell signals. Designed for multi-timeframe analysis, it helps traders anticipate market moves with precision seeing behind the scenes of price action.
The fundamental inputs of price action are made up of different variables -- the components of Trend Strength, Volatility, Momentum, Money Flow/Volume and Overbought/Oversold. These are very important inputs market makers use. From what I've learned in my trading journey (always still learning), this is the data I value most important. This is why I combined all these components into one indicator.....to be an ultimate visual—this extrapolation of different pieces of data is the Visual Prowess.
What It Does
Visual Prowess combines five key market factors into a unified score (0-100) to assess market conditions by examining the price action like an x-ray aka Visual Prowess:
• Trend Direction & Strength (Green and Red Wave) : Identifies bullish (green clouds) or bearish (red clouds) trend. This data is designed to illustrate the trend by the color, and its strength by the height (score).
How it is Calculated = Data is derived from price action-- comparing the current and previous price highs and lows to measure the strength of upward (+) or downward (-) price movements, smoothed over a period and expressed as a percentage of the price range.
• Momentum (Blue and White Wave): Tracks price acceleration via a custom momentum oscillator, displayed as blue (positive) or white (negative) waves.
How it is Calculated = Data is calculated by subtracting a longer-term exponential moving average from a shorter-term exponential moving average to measure momentum and trend direction. Momentum strength is measured by height on 0-100 score, and color dictates the trend-- Blue up, White down.
• Strength Index (Purple Line): Measures overbought/oversold conditions with a normalized index, derived from price deviation.
How it is Calculated = Strength Index is calculated by comparing the average of price gains to the average of price losses over a specified period, expressed as a value between 0 and 100 to measure momentum and identify overbought or oversold conditions.
• Money Flow: Monitors capital inflows and outflows using a modified Money Flow Index, shown as green (buying) or red (selling) circles.
How it is Calculated = The Money Flow is calculated by using price and volume data to measure buying and selling pressure, comparing positive and negative money flow over a specified period to produce a value between 0 and 100, indicating overbought or oversold conditions and more importantly where the money is moving, + or -.
• Volatility: Gauges market volatility, marked by colored crosses (blue for low, red for high). Blue illustrates low volatility which is key for big moves either + or -; red to illustrate when price action is extremely overheated either + or -.
How it is Calculated = The volatility is calculated by the creator of the BBWP The_Caretaker. This excellent work is calculated using the width of the iconic indicator the Bollinger Bands (the difference between the upper and lower bands divided by the middle band (the moving average), expressed as a percentage to show how volatile the price is relative to its recent average.
Originality
Unlike traditional multi-indicator dashboards, Visual Prowess uses a combination of specific open-source indicators which I believe to be the most important inputs in price action-- trend, momentum, strength, money flow, and volatility into an all-in-one visual ratioed on a 0-100 scale. This unique synthesis of data reduces noise, prioritizes signal alignment, and a look behind the scenes of price action to see deeper into the movement – This combination of indicators has custom thresholds, when these components in alignment with each other hit certain parameters; it leads to key custom price action signals -- Green Dot Buy and Red Dot Sell signals.
There is also a bonus indicator….. a Yellow Triangle. When you see this, it is rare and strong. It only prints when strength index reaches extreme lows at the same time volatility reaches extreme highs…. It then waits to print the yellow triangle upon a third condition= which is price action is back in bullish/positive zone. This Yellow triangle is meant to be strong reversals of Macro Trend lows.
How to Use the Visual Prowess Components:
• Add to Chart: Apply Visual Prowess to any timeframe (recommended: higher timeframes 12H, 1D, 2D, 3D for optimal signals).
• Interpret Zones: Values >50 indicate bullish conditions (green background); <50 signal bearish conditions (red background).
Wait for Green Dot Buy signal for buys and Red Dot Sell signals for sells. One can read each component individually to gauge the price action and predict before the buy signal prints; all of those components merged together is what leads to the buy and sell signals. The story of what’s to come can be seen at lower timeframes before the higher timeframes print, that is a key way to gauge projections of bull or bear prints to come.
HOW TO READ EACH DATA COMPONENT
TREND CLOUDS: Green/red clouds show trend direction; vivid colors tied to number/ score on the 0-100 scale indicate strength of the trend.
Bull Conditions
Green cloud illustrates the trend is bullish. The height is correlated to the trend’s strength—this height is also aligned with colors, more transparent green is weak, then it gets more opaque being medium strength, and the most vibrant is the strongest. How to ride the bull condition is by seeing this transformation of trend get from weak to strong, until it tops out and the wave points down losing strength which alludes to the bear condition.
Bear Conditions
Vice versa with the bear condition. Different shades of red tie into the strength of the bear trend. How to read when things are about to get bearish, is by seeing bull trend shift levels of strength (Example- medium to weak). This transition of bull strength getting weaker is the start, once it gets to weak bear it has commenced until bearish strength tops out before it begins to get weaker leading to the next bull phase.
MOMENTUM WAVES: Blue waves above 50 suggest bullish momentum; white waves below 50 warn of bearish shifts.
Bull Conditions
Good to look at flips of white wave to blue in bearish zones to see the tide turning= guaranteed bullish when safely gets above and holds above 50 zone.
Bear Conditions
Vice versa for Bearish side of this momentum wave being blue wave turning white in bullish zone aiming down to break below 50 zone to confirm bearish descent.
STRENGTH INDEX: Values >80 indicate overbought; <20 suggest oversold. Look for “Bull” or “Bear” labels for divergences.
Bull Conditions
Above 50 level is key, so seeing price action break from below 50 to above 50 is strong buy condition until it gets overbought.
Bear Conditions
Once conditions are too overbought and falling making lower lows (especially when price action is climbing or staying sideways) it is indicating strength is getting weaker. When this indicator fights 50 level and breaks down below 50 level bearish conditions are coming until it gets to an oversold level.
MONEYFLOW: Green circles signal buying pressure; red circles indicate selling.
Bull Conditions
Green circles show money flow is positive so that’s a good sign of upward price action to come, and again above 50 level is bullish conditions
Bear Conditions
Red circles show money flow is negative so that’s a bad sign of price action to come, pointing down and breaking below 50 level is no good. It can have corrections in bullish scenario keep in mind seeing red doesn’t mean trend is over z9could be in higher low scenario).
VOLATILITY: Blue crosses (<25% volatility) suggest breakout potential; red crosses (>75%) warn of overheated markets.
Bull Conditions
This is a very important indication. Big volatile moves can move either direction + or -. When all other components look positive/bullish and this is signalling blue crosses it means a big move is coming and will most likely be in the upward direction –If all other components align/lean bullish.
Another bullish scenario is when price action is down large and red crosses are forming. This indicates that the downward move is overheated (red x’s are rare). This extremely oversold condition can be great buying opportunities when volatility is hot printing red x’s.
Bear Conditions
When all other components look negative/bearish and this is signalling blue crosses it means a big move is coming and will most likely be in the downward direction –If all other components align/lean bearish.
Another bearish scenario is when price action is up large and red crosses are forming. This indicates that the upward move is overheated (red x’s are rare). This extremely overbought condition can be great selling opportunities when volatility is hot printing red x’s.
*****All these components in alignment of hitting each pertaining important threshold--is what prints the green dot and sell signals to trade by. It is not black and white; each component has a sweet spot fine tuned to be triggered through analysis of what is happening individually to each component and how it is reacting to the price action data.
EXAMPLE= Taking a look at the screenshot (Perfect Scenario)
Bullish Examination
- Taking a look at the 2-D timeframe on BTC
x>50
x= all components traveling to the bullish zone. Blue wave, Strength Index with bullish divergence accumulation, Money Flow Positive with Green Trend Wave starting, with teal low volatility cross→→→ leads to Green Dot Buy Signal print…. And the big rise speaks for itself with price action and the big mountain wave of the Green Trend Wave.
This rise leads to
↓↓↓↓
Bearish Examination
Strength Index gets really high at 80 scale, Red X’s showing extremely heated Volatility, Money Flow turning red and sloping down, Trend Wave peaking starting to roll over, Blue Momentum Wave transitioning to white, bearish divergence of price action related to Strength Index→→→ leads to Red Dot Sell Signal print… and the flush speaks for itself when all components fall below 50 level with Trend wave turning red
All this is forecasted in the data, showing weakness before weakness and showing strength before strength. It works because every single piece of important elements in data of price action is incorporated in this all-in-one indicator…. Which leads to the reasoning of me calling this indicator the Visual Prowess, for its unprecedent sharpness of visual observation.
****This is a passion script incorporating every piece of data I value important when reading a chart — to see current perspective of a chart and to help foresee future projection of direction Up or Down. Any community feedback is greatly appreciated. Ongoing work will be done on this script as new thoughts and fine tuning will continuously be done for infinity, as this is my personal go to model for data on the markets.
Adaptive Strength MACD [UM]Indicator Description
Adaptive Strength MACD is an adaptive variant of the classic MACD that uses a customized Strength Momentum moving average for both its oscillator and signal lines. This makes the indicator more responsive in trending conditions and more stable in sideways markets.
Key Features
1. Adaptive Strength Momentum MA
Leverages the Adaptive Momentum Oscillator to scale smoothing coefficients dynamically.
2. Trend-Validity Filters
Optional ADX filter ensures signals only fire when trend strength (ADX) exceeds a user threshold.
3. Directional Filter (DI+) confirms bullish or bearish momentum.
4. Color-Coded Histogram
5. Bars turn bright when momentum accelerates, faded when slowing.
6. Grayed out when trend filters disqualify signals.
7. Alerts
Bullish crossover (histogram from negative to positive) and bearish crossover (positive to negative) only when filters validate trend.
Comparison with Regular MACD
1. Moving Averages
Classic MACD uses fixed exponential moving averages (EMAs) for its fast and slow lines, so the smoothing factor is constant regardless of how strong or weak price momentum is.
Adaptive Strength MACD replaces those EMAs with a dynamic “Strength Momentum” MA that speeds up when momentum is strong and slows down in quiet or choppy markets.
2. Signal Line Smoothing
In the classic MACD, the signal is simply an EMA of the MACD line, with one user-selected period.
In the Adaptive Strength MACD , the signal line also uses the Strength Momentum MA on the MACD series—so both oscillator and signal adapt together to the underlying momentum strength.
3. Responsiveness to Momentum
A static EMA reacts the same way whether momentum is surging or fading; you either get too-slow entries when momentum spikes or too-fast whipsaws in noise.
The adaptive MA in your indicator automatically gives you quicker crossovers when there’s a trending burst, while damping down during low-momentum chop.
4. Trend Validation Filters
The classic MACD has no built-in mechanism to know whether price is actually trending versus ranging—you’ll see crossovers in both regimes.
Adaptive Strength MACD includes optional ADX filtering (to require a minimum trend strength) and a DI filter (to confirm bullish vs. bearish directional pressure). When those filters aren’t met, the histogram grays out to warn you.
5. Histogram Coloring & Clarity
Typical MACD histograms often use two colors (above/below zero) or a simple ramp but don’t distinguish accelerating vs. decelerating moves.
Your version employs four distinct states—accelerating bulls, decelerating bulls, accelerating bears, decelerating bears—plus a gray “no-signal” state when filters fail. This makes it easy at a glance to see not just direction but the quality of the move.
6. False-Signal Reduction
Because the classic MACD fires on every crossover, it can generate whipsaws in ranging markets.
The adaptive MA smoothing combined with ADX/DI gating in your script helps suppress those false breaks and keeps you focused on higher-quality entries.
7. Ideal Use Cases
Use the classic MACD when you need a reliable, well-understood trend-following oscillator and you’re comfortable manually filtering choppy signals.
Choose Adaptive Strength MACD \ when you want an all-in-one, automated way to speed up in strong trends, filter out noise, and receive clearer visual cues and alerts only when conditions align.
How to Use
1. Setup
- Adjust Fast and Slow Length to tune sensitivity.
- Change Signal Smoothing to smooth the histogram reaction.
- Enable ADX/DI filters and set ADX Threshold to suit your preferred trend strength (default = 20).
2. Interpretation
- Histogram > 0: Short‐term momentum above long‐term → bullish.
- Histogram < 0: Short‐term below long‐term → bearish.
- Faded greyed bars indicate a weakening move; gray bars show filter invalidation.
How to Trade
Buy Setup:
- Histogram crosses from negative to positive.
- ADX ≥ threshold and DI+ > DI–.
- Look for confirmation (bullish candlestick patterns or support zone).
Sell Setup:
- Histogram crosses from positive to negative.
- ADX ≥ threshold and DI– > DI+.
- Confirm with bearish price action (resistance test or bearish pattern).
Stop & Target
- Place stop just below recent swing low (long) or above recent swing high (short).
- Target risk–reward of at least 1:2, or trail with a shorter‐period adaptive MA.
Smart MACD Reversal Oscillator Pro [TradeDots]The TradeDots Smart MACD Reversal Oscillator Pro is an advanced technical analysis tool that combines traditional MACD functionality with multi-layered signal detection and divergence identification systems. This comprehensive oscillator helps traders identify potential market reversals, trend continuations, and extremes with greater precision than conventional indicators.
📝 HOW IT WORKS
Accumulation & Distribution Detection System
The indicator begins with a proprietary calculation that identifies potential accumulation and distribution phases:
Calculation: Processes EMA differentials with specific time constants to detect underlying accumulation/distribution pressure
Visualization: Green-filled areas indicate accumulation phases (bullish pressure building) while red-filled areas show distribution phases (bearish pressure building)
Significance: This system often identifies trend reversals before traditional indicators by detecting institutional buying/selling activity
Multi-Timeframe MACD Implementation
Unlike traditional MACD indicators that use a single timeframe, this oscillator incorporates multiple calculation methods:
1. Primary Oscillator: Uses a proprietary calculation that combines price extremes with smoothed averages:
Implements specialized moving average types (SMMA and ZLEMA)
Generates a histogram that changes color based on price position relative to these averages
Produces a signal line that identifies crossover opportunities
2. Secondary MACD: Traditional MACD implementation with customizable parameters:
User-selectable MA types (SMA/EMA) for both oscillator and signal line
Color-coded histogram for momentum visualization
Separate crossover detection system
Dynamic Band System
The indicator implements an innovative dynamic band system to identify overbought and oversold conditions:
Band Calculation: Analyzes historical oscillator values to establish statistically significant extremes
Adaptive Scaling: Automatically adjusts to different market volatility regimes using a customizable Y-axis scale factor
Signal Integration: Incorporates band levels into signal generation for higher-probability trades
Signal Generation System
Four distinct signal types are generated to identify potential trading opportunities:
Green Dots: Bullish crossover signals (primary oscillator crosses above signal line)
Red Dots: Bearish crossover signals (primary oscillator crosses below signal line)
Blue Dots: Secondary MACD bullish crossovers in oversold territory
Orange Dots: Secondary MACD bearish crossovers in overbought territory
Advanced Divergence Detection
The oscillator incorporates a sophisticated divergence detection system:
Regular Divergences: Identifies when price makes lower lows while the oscillator makes higher lows (bullish) or price makes higher highs while the oscillator makes lower highs (bearish)
Hidden Divergences: Optional detection of continuation patterns (currently disabled by default)
Visual Markers: Clear labels identifying divergence formations directly on the chart
Zero-Line Filter: Optional filtering to only detect divergences that don't cross the zero line
🛠️ HOW TO USE
Signal Interpretation
Momentum Direction
Histogram Color: Green shades indicate bullish momentum, red shades indicate bearish momentum
Oscillator Position: Above zero indicates bullish momentum, below zero indicates bearish momentum
Filled Background: Green fill shows accumulation phases, red fill shows distribution phases
Buy Signals (In Order of Strength)
Bullish Divergence + Green Dot: Highest probability reversal signal (price making lower lows while oscillator makes higher lows, followed by crossover)
Green Dot Below Short Average Line: Strong oversold reversal signal
Green Dot + Blue Dot Alignment: Multiple indicator confirmation
Green Dot During Green Fill Expansion: Trend continuation signal
Sell Signals (In Order of Strength)
Bearish Divergence + Red Dot: Highest probability reversal signal (price making higher highs while oscillator makes lower highs, followed by crossover)
Red Dot Above Long Average Line: Strong overbought reversal signal
Red Dot + Orange Dot Alignment: Multiple indicator confirmation
Red Dot During Red Fill Expansion: Trend continuation signal
Trading Strategies
Divergence Trading Strategy
Identify "Bullish" or "Bearish" divergence labels on the chart
Wait for confirming dot signal in the same direction
Enter when both divergence and dot signal align
Set stops based on recent swing points
Target the opposite band or previous significant level
Overbought/Oversold Reversal Strategy
Wait for the oscillator to reach extreme bands (Long or Short Average lines)
Look for crossover signals at these extreme levels:
Bullish Crossover (Oversold): Green dots when oscillator is below Short Average
Bearish Crossover (Overbought): Red dots when oscillator is above Long Average
Enter when price confirms the reversal
Set stops beyond the recent extreme
Target the opposite band or at least the zero line
Multi-Confirmation Strategy
For highest probability trades, look for:
Multiple signal types aligning (e.g., Green + Blue dots or Red + Orange dots)
Signals occurring at band extremes
Divergence patterns reinforcing the signal direction
Background fill color supporting the signal (green fill for buys, red fill for sells)
⚙️ CUSTOMIZATION OPTIONS
The indicator offers extensive customization to adapt to different markets and trading styles:
Y-axis scale factor: Controls the band range multiplier (default 2.5)
Parameter 1: Controls the smoothing period for main calculations (default 8)
Parameter 2: Controls the signal line calculation period (default 9)
Fast/Slow Length: Controls traditional MACD calculation periods (12/26)
Oscillator MA Type: Selection between SMA and EMA for main oscillator
Signal Line MA Type: Selection between SMA and EMA for signal line
Divergence Settings: Customizable lookback parameters and display options
Don't touch the zero line?: Toggle option for divergence filtering
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top
False Signals: Can occur during periods of high volatility or during ranging markets
Divergence Validation: Not all divergences lead to reversals; confirmation is essential
Timeframe Sensitivity: The indicator works best on intermediate timeframes (15m to 4h) for most markets
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This oscillator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
MACD Sniper [trade_lexx]📈 MACD Sniper — Improve your trading strategy with accurate signals!
Introducing the MACD Sniper , an advanced trading indicator designed for a comprehensive analysis of market conditions. This indicator combines MACD (Moving Average Convergence Divergence) with various types of moving averages (SMA, EMA, WMA, VWMA, KAMA, HMA, ZLEMA, TEMA, ALMA, DEMA), providing traders with a powerful tool for generating buy and sell signals. It is ideal for traders who need an advantage in detecting changes in trends and market conditions.
🔍 How the signals work
1. Histogram signals:
— A buy signal is generated when the MACD histogram is below zero and begins to grow after the minimum number of falling histogram columns, which are indicated in the indicator menu. This indicates that selling pressure has decreased, the market is oversold and ready for a rebound. The signals are displayed as green triangles labeled "H" under the histogram graph. On the main chart, buy signals are displayed as green triangles labeled "Buy" under candlesticks.
— A sell signal is generated when the MACD histogram is above zero and begins to fall after the minimum number of growing histogram columns, which are indicated in the indicator menu. This indicates that the buying pressure has decreased, the market is overbought and ready for correction. The signals are displayed as red triangles labeled "H" above the histogram graph. On the main chart, the sell signals are displayed as red triangles with the word "Sell" above the candlesticks.
2. Moving Average Crossing Signals (MA):
— A buy signal is generated when the Fast Moving Average (MACD) crosses the Slow Moving Average (Signal Line) from bottom to top. This indicates a possible upward reversal of the market. The signals are displayed as green triangles labeled "MA" under the MACD chart. On the main chart, buy signals are displayed as green triangles labeled "Buy" under candlesticks.
— A sell signal is generated when the Fast Moving Average (MACD) crosses the slow Moving Average (Signal Line) from top to bottom. This indicates a possible downward reversal of the market. The signals are displayed as red triangles labeled "MA" above the MACD chart. On the main chart, the sell signals are displayed as red triangles with the word "Sell" above the candlesticks.
🔧 Signal filtering
— Minimum number of bars between signals
This filter allows the user to set the minimum number of bars that must pass between the generation of two consecutive signals. This helps to avoid frequent false alarms and improves the quality of the generated signals. Setting this parameter allows you to filter out the noise in the market and make the signals more reliable. For example, if the value is set to 5, then a new signal will be generated only after 5 bars have passed since the previous signal.
— "Wait for the opposite signal" mode
In this mode, Buy and Sell signals are generated only after receiving the opposite signal. This means that a buy signal will be generated only after the previous sell signal, and vice versa. This approach adds an additional level of filtering and helps to avoid false positives. This is especially useful in conditions of high market volatility, when false signals often occur.
— RSI filter
The Relative Strength Index (RSI) is used for additional filtering of buy and sell signals. The RSI helps determine whether a market is overbought or oversold. The user can set overbought and oversold levels, and signals will be generated only when the RSI is in the specified ranges. For example, a buy signal will be generated only if the RSI is in the range between 10 and 30 (oversold), and a sell signal if the RSI is in the range between 70 and 90 (overbought). This helps to avoid false signals in extreme market conditions.
🔌 Connector Histogram, MA, Combined 🔌
These parameters allow you to connect the indicator to trading strategies and test the signals throughout the trading history. This makes the indicator an even more powerful tool for traders who want to test the effectiveness of their strategies on historical data.
Connector Histogram provides the ability to connect signals based on the MACD histogram to trading strategies.
Connector MA allows you to connect signals based on the intersection of moving averages (MA) of the MACD, which can also be used for automatic trading or strategy testing.
The combined connector combines signals based on both a histogram and the intersection of moving averages, making the analysis more comprehensive and reliable, which is especially useful for traders seeking to improve the quality of their trading decisions.
🔔 Alerts
The indicator provides the ability to set up notifications for buy and sell signals, which allows traders to keep abreast of important market events without having to constantly monitor the chart. Users can set up notifications that will alert them when buy or sell signals appear, helping them respond to market changes in a timely manner and make informed decisions. These notifications can be configured for various types of signals, such as signals based on the MACD histogram, moving average crossings, or all at once, which makes the indicator a more convenient and functional tool for active traders.
🎨 Customizable Appearance
Customize the appearance of the MACD Sniper according to your preferences to make the analysis more convenient and visually pleasing. In the indicator settings section, you can change the colors of the buy and sell signals so that they stand out on the chart and are easily visible. For example, buy signals can be green, and sell signals can be red. These settings allow traders to adapt the indicator to their individual needs, making it more flexible and user-friendly.
🔧 How it works
The MACD Sniper indicator starts by calculating the MACD values and moving averages for a specific period in order to assess market conditions. For this, fast and slow moving averages are used, as well as a signal line, which are calculated based on the set parameters. The indicator then analyzes the MACD histogram to determine whether the difference between the fast and slow moving averages is rising or falling. Based on this analysis, buy and sell signals are generated. Additionally, the indicator uses the RSI filter to filter out false signals in overbought or oversold market conditions. The user can set the minimum number of bars between the signals and the "Wait for the opposite signal" mode for additional filtering. The indicator dynamically adjusts to changes in the market, providing relevant signals in real time.
📚 Quick guide to using the MACD Sniper
— Add the indicator to your favorites by clicking on the rocket icon. Adjust the parameters such as the length of periods for fast and slow moving averages, the type of moving average (SMA, EMA, WMA, VWMA, KAMA, HMA, ZLEMA, TEMA, ALMA, DEMA) and the length of the signal line, according to your trading style, or leave all settings as default.
— Adjust the signal filters to improve their quality and avoid false alarms
— Turn on notifications so that you don't miss important trading opportunities and don't constantly sit at the chart. This will allow you to keep abreast of all key market events and respond to them in a timely manner, without being distracted from other business.
— Use signals, they will help you determine the optimal entry and exit points of positions.
— Use the Connector for deeper analysis and verification of the effectiveness of signals, connect them to your trading strategies. This will allow you to test signals throughout your trading history and evaluate their accuracy based on historical data.
— Include the indicator in your trading strategy and run testing to see how buy and sell signals have worked in the past.
— Analyze the test results to determine how reliable the signals are and how they can improve your trading strategy. This will help you make more informed decisions and increase your trading efficiency.
MACD with Holt–Winters Smoothing [AIBitcoinTrend]👽 MACD with Holt–Winters Smoothing (AIBitcoinTrend)
The MACD with Holt–Winters Smoothing is an momentum indicator that enhances traditional MACD analysis by incorporating Holt–Winters exponential smoothing. This adaptation reduces lag while maintaining trend sensitivity, making it more effective for detecting trend reversals and sustained momentum shifts. Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, helping traders manage risk dynamically.
👽 What Makes the MACD with Holt–Winters Smoothing Unique?
Unlike the standard MACD, which relies on simple exponential moving averages, this version applies Holt–Winters smoothing to better capture trends while filtering out market noise. Combined with real-time divergence detection and a trailing stop system, this indicator allows traders to:
✅ Identify trend strength with a dynamically smoothed MACD signal.
✅ Detect bullish and bearish divergences in real time.
✅Implement Crossover/Crossunder signals tied to ATR-based trailing stops for risk management
👽 The Math Behind the Indicator
👾 Holt–Winters Smoothing for MACD
Traditional MACD calculations use exponential moving averages (EMA) to identify momentum. This indicator improves upon it by applying Holt’s linear trend equations, which enhance signal accuracy by reducing lag and smoothing out fluctuations.
Key Features:
Alpha (α) - Controls the weight of the new data in smoothing.
Beta (β) - Determines how fast the trend component adapts to new changes.
The Holt–Winters Signal Line provides a refined MACD crossover system for better trade execution.
👾 Real-Time Divergence Detection
The indicator identifies bullish and bearish divergences between MACD and price action.
Bullish Divergence: Occurs when price makes a lower low, but MACD makes a higher low – signaling potential upward momentum.
Bearish Divergence: Occurs when price makes a higher high, but MACD makes a lower high – signaling potential downward momentum.
👾 Dynamic ATR-Based Trailing Stop
The indicator includes a trailing stop system based on ATR (Average True Range). This allows traders to manage positions dynamically based on volatility.
Bullish Trailing Stop: Triggers when MACD crosses above the Holt–Winters signal, with a stop placed at low - (ATR × Multiplier).
Bearish Trailing Stop: Triggers when MACD crosses below the Holt–Winters signal, with a stop placed at high + (ATR × Multiplier).
Trailing Stop Adjustments: Expands or contracts dynamically with market conditions, reducing premature exits while securing profits.
👽 How Traders Can Use This Indicator
👾 Divergence Trading
Traders can use real-time divergence detection to anticipate trend reversals before they occur.
Bullish Divergence Setup:
Look for MACD making a higher low, while price makes a lower low.
Enter long when MACD confirms upward momentum.
Bearish Divergence Setup:
Look for MACD making a lower high, while price makes a higher high.
Enter short when MACD confirms downward momentum.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ MACD crosses above the Holt–Winters signal.
✅ A bullish trailing stop is placed using low - ATR × Multiplier.
✅ Exit if the price crosses below the stop.
Bearish Setup:
✅ MACD crosses below the Holt–Winters signal.
✅ A bearish trailing stop is placed using high + ATR × Multiplier.
✅ Exit if the price crosses above the stop.
This systematic trade management approach helps traders lock in profits while reducing drawdowns.
👽 Why It’s Useful for Traders
Lag Reduction: Holt–Winters smoothing ensures faster and more reliable trend detection.
Real-Time Divergence Alerts: Identify potential reversals before they happen.
Adaptive Risk Management: ATR-based trailing stops adjust to volatility dynamically.
Works Across Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
MACD Fast & Slow Lengths: Adjust the MACD short- and long-term EMA periods.
Holt–Winters Alpha & Beta: Fine-tune the smoothing sensitivity.
Enable Divergence Detection: Toggle real-time divergence analysis.
Lookback Period for Divergences: Configure how far back pivot points are detected.
ATR Multiplier for Trailing Stops: Adjust stop-loss sensitivity to market volatility.
Trend Filtering: Enable signal filtering based on trend direction.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
TTC EMA Scalping Machine with RSI Filter and MACDTTC EMA Scalping Machine with RSI Filter and MACD
TTC EMA Scalping Machine with RSI Filter and MACD is a multi-layered technical analysis tool designed for traders looking to scalp the markets with a combination of trend-following and momentum-based indicators. This strategy leverages Exponential Moving Averages (EMAs) , Relative Strength Index (RSI) , MACD , and Volume Analysis to help traders identify high-probability entry points for short and long trades. The indicator can be used in multiple market conditions and is suited for both beginners and experienced traders looking for clear entry signals.
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Key Features :
1. EMA-Based Trend Filtering :
- The indicator uses four Exponential Moving Averages (EMAs) with different periods:
- EMA 10 (Short-Term) : The fastest-moving average for detecting quick price movements.
- EMA 20 (Medium-Term) : A central trendline for market momentum.
- EMA 30 (Long-Term) : To observe broader market trends.
- EMA 50 (Longest-Term) : To identify the overall market direction.
- These EMAs are plotted on the chart and used to create EMA bands , visually displaying potential support and resistance levels. Price action inside these bands helps identify scalping opportunities.
2. RSI Filter :
- RSI (Relative Strength Index) is used to gauge overbought and oversold conditions in the market:
- Overbought condition (RSI > 70) : The market may be overextended, signaling the possibility of a short.
- Oversold condition (RSI < 30) : The market may be undervalued, signaling the possibility of a long.
- The RSI filter ensures that trades are not taken when the market is overextended, offering a more conservative approach to trade entries.
3. MACD Momentum Analysis :
- The MACD (Moving Average Convergence Divergence) indicator is included to confirm the trend and momentum direction:
- Long Condition : The MACD line crosses above the signal line, confirming a bullish momentum.
- Short Condition : The MACD line crosses below the signal line, confirming a bearish momentum.
- This serves as an additional filter to verify if the market momentum aligns with the long or short entry criteria.
4. Long Entry (Buy Signal) :
- A long entry signal is triggered when the following conditions are met:
- The price is above EMA 20 (indicating an overall bullish market).
- The price is within the green EMA band (EMA 10 and EMA 20), suggesting short-term support.
- The RSI is below 70 (indicating the market is not overbought).
- The MACD line is above the signal line , showing bullish momentum.
- These conditions combined suggest an ideal environment for entering a long position.
5. Short Entry (Sell Signal) :
- A short entry signal is triggered when the following conditions are met:
- The price is below EMA 20 (indicating an overall bearish market).
- The price is within the green EMA band (EMA 20 and EMA 30), suggesting short-term resistance.
- The RSI is above 30 (indicating the market is not oversold).
- The MACD line is below the signal line , showing bearish momentum.
- These conditions combined suggest an ideal environment for entering a short position.
6. Signal Alerts :
- Long Alerts : Users can set alerts to notify them when a long condition is met. These alerts are triggered when all the criteria for a long entry are satisfied.
- Short Alerts : Similarly, users can set alerts for short signals, notifying them when all the conditions for a short entry are satisfied.
7. EMA Bands :
- The EMA bands are visually represented with colored fills between the EMAs, providing a visual aid to recognize potential trading zones. These zones can serve as a reference for traders to make quick decisions regarding entries and exits.
8. Volume Filter :
- The indicator also includes a volume filter , which compares the current volume to its 20-period simple moving average. Higher volumes provide confirmation of price movement, which can indicate stronger potential for the trade.
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How It Works :
- Long Trades : The indicator suggests a long position when the price is above the EMA 20, within the green EMA band, the RSI is not overbought, and MACD confirms bullish momentum (MACD line above the signal line).
- Short Trades : The indicator suggests a short position when the price is below the EMA 20, within the green EMA band, the RSI is not oversold, and MACD confirms bearish momentum (MACD line below the signal line).
- Volume Confirmation : The indicator uses a volume-based filter to ensure the trade is backed by sufficient market participation.
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Usage :
- Best for Scalping : This strategy is designed for short-term trades ( scalping ) and can be applied to any time frame, though it works best on intraday charts, such as 5-minute or 15-minute charts.
- Ideal for Trend-Following : With the use of EMAs and MACD, the strategy is best suited for markets that exhibit clear trends. It helps to avoid whipsaw trades and focuses on capturing medium-term trends.
- Risk Management : By using RSI, MACD, and volume analysis together, this strategy reduces the likelihood of entering a trade in an overextended market, which helps with risk management.
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Alerts and Signals :
- Long Signals : When all conditions are met for a long trade, a green label appears below the price bar, indicating a potential buy opportunity. An alert is also generated, notifying the user.
- Short Signals : When all conditions are met for a short trade, a red label appears above the price bar, indicating a potential sell opportunity. An alert is also generated, notifying the user.
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This combination of EMA , RSI , MACD , and volume-based filters creates a balanced approach to scalping, ensuring that traders receive clear, actionable entry signals with trend confirmation, while avoiding overbought and oversold conditions that may lead to false signals. The indicator is designed to help traders confidently identify high-probability trades while maintaining simplicity and clarity in its setup.
mr.crypto731Description:
📊 Enhanced MACD with Strong Buy/Sell Signals 🚀
This script is designed to enhance the standard MACD indicator by adding clear, strong buy and sell signals. It includes:
MACD Line: A fast-moving average that reacts quickly to price changes.
Signal Line: A slower-moving average that smooths out price fluctuations.
MACD Histogram: The difference between the MACD Line and Signal Line, helping to identify trend strength and direction.
Key Features:
Strong Buy/Sell Signals: Uses crossovers of the MACD Line and Signal Line to generate strong buy/sell signals.
Color-Coded Background: Provides visual cues with background colors to highlight strong signals.
User-Friendly Interface: Customizable settings for MACD Fast Length, Slow Length, and Signal Smoothing.
5x Volume indicator - Day Trading5x Volume Screener - Day Trading
Version: 6.0
Description:
This indicator is designed to identify significant volume spikes in crypto and stock markets,
specifically targeting instances where volume exceeds 5x the average of a 10-period Simple Moving Average (SMA) as the baseline.
Perfect for day traders and momentum traders looking for high-volume breakout opportunities.
Key Features:
Tracks real-time volume compared to 5-period moving average
Visual alerts through green histogram bars for 5x volume spikes
Dynamic volume ratio display showing exact multiple of average volume
Clear threshold line for quick reference
Optional labels showing precise volume ratios
Benefits:
Instantly spot unusual volume activity
Identify potential breakout opportunities
Validate price movements with volume confirmation
Perfect for day trading and scalping
Works across multiple timeframes
Best Used For:
Day trading setups
Breakout trading
Volume confirmation
Momentum trading
Market reversal identification
Created by: CigarSavant
Last Updated: December 2024
E9 MACD
The E9 MACD (Moving Average Convergence Divergence) indicator is a powerful tool used in technical analysis to help traders identify potential buy and sell signals based on price action. It is designed to provide clear visual cues and alerts for trading decisions. Here’s how it applies to price action and its key functionalities:
Key Features and Functionality
MACD Line and Signal Line:
MACD Line: Represents the difference between a fast and a slow moving average of the price. It helps in identifying the momentum of the price movement.
Signal Line: A smoothed average of the MACD Line, used to generate trading signals when the MACD Line crosses above or below it.
Histogram: The histogram shows the difference between the MACD Line and the Signal Line. It visually represents the strength of the trend, with positive values indicating bullish momentum and negative values indicating bearish momentum.
Trend Coloring:
Uptrend: When the MACD Line is above the Signal Line, the bars can be colored green to indicate a potential buying opportunity.
Downtrend: When the MACD Line is below the Signal Line, the bars can be colored red to signal a potential selling opportunity.
Timeframe Flexibility:
The E9 MACD can be adjusted to different timeframes, allowing traders to analyze short-term or long-term trends based on their trading strategy. This flexibility helps in tailoring the indicator’s analysis to different market conditions.
Visual Alerts and Highlights:
The indicator includes options to highlight price bars and background colors when significant crossovers occur, making it easier to spot key trading signals.
Circles can be plotted on the MACD Line to indicate cross events, enhancing visual clarity.
Customizable Appearance:
Traders can customize the appearance of the MACD Line, Signal Line, and Histogram, including color and line width, to suit their personal preferences and improve readability.
Alerts for Trading Signals:
The E9 MACD can generate alerts for crossovers of the MACD Line and Signal Line, helping traders stay informed of potential trading opportunities even when they are not actively monitoring the charts.
Application in Trading
The E9 MACD is particularly useful for:
Identifying potential entry and exit points based on the crossing of the MACD Line and Signal Line.
Gauging the strength of the current trend through the histogram.
Adjusting to different timeframes to align the indicator with various trading strategies, from day trading to long-term investing.
By providing clear visual indicators and alerts, the E9 MACD helps traders make more informed decisions and better understand the momentum and direction of price movements.
[KVA] KMACDKMACD Indicator: Advanced Market Analysis Through Central Tendency Metrics
The KMACD (KAMVIA Moving Average Convergence Divergence) indicator is an advanced, multi-dimensional tool designed to provide traders and analysts with a deeper understanding of market dynamics. By integrating the classical MACD framework with statistical measures of central tendency, KMACD offers a sophisticated approach to identifying trends, reversals, and potential trading opportunities.
Key Features of the KMACD Indicator:
1. Enhanced MACD Calculation :
- The KMACD employs dual moving averages (fast and slow) of user-defined types (SMA, EMA, WMA) to calculate the MACD line, which represents the difference between these moving averages. This traditional approach is further enhanced by customizable signal smoothing, allowing users to fine-tune the sensitivity of the indicator.
2. Central Tendency Metrics :
- The indicator integrates additional statistical measures, such as Mean, Median, Mode, Standard Deviation, and Variance, calculated over a rolling window. These metrics provide insights into the central tendencies of the MACD values, helping traders understand the overall trend direction and the dispersion of price movements around the trend.
3. RSI-Like Oscillator :
- A unique RSI-like value derived from the MACD line is included to highlight overbought and oversold conditions. This offers a dual-layered perspective, combining the power of MACD and RSI methodologies, to signal potential market extremes with greater precision.
4. Customizable Visual Elements :
- KMACD allows users to toggle the visibility of the MACD line, Signal line, and Histogram, providing flexibility in how the data is presented. The histogram dynamically changes color—green when above zero, indicating bullish momentum, and red when below zero, indicating bearish momentum.
5. Horizontal Line Customization :
- The indicator includes customizable horizontal lines for the zero level, overbought, and oversold thresholds. These lines serve as visual cues to identify key price levels and market conditions.
6. Adaptive to Various Market Conditions :
- KMACD's comprehensive features make it adaptable to various market conditions, from trending markets to sideways consolidations. Whether you're looking to capture momentum shifts or identify potential reversal points, KMACD provides the analytical power needed to make informed trading decisions.
How to Use KMACD:
- Trend Identification : Use the MACD line in conjunction with central tendency measures (Mean, Median, Mode) to gauge the overall market trend and its strength. A rising MACD line, supported by higher mean and median values, typically indicates an uptrend.
- Momentum Analysis : The histogram and RSI-like value help in identifying the momentum behind price movements. Positive histogram bars suggest increasing bullish momentum, while negative bars suggest increasing bearish momentum.
- Overbought/Oversold Conditions : Monitor the RSI-like oscillator and the overbought/oversold levels to detect when the market may be poised for a reversal.
- Divergence Detection : Look for divergences between the MACD line and price action, supported by the central tendency measures, to spot potential reversal points.
Conclusion
The KMACD indicator is more than just a traditional MACD; it’s a comprehensive tool designed to cater to both novice and experienced traders. By incorporating central tendency metrics and customizable features, KMACD stands out as a versatile and powerful indicator that enhances market analysis and trading strategies. Whether you're navigating volatile markets or steady trends, KMACD offers the precision and depth needed to stay ahead.
MACD Highlight Zones for PrimetimeUse the MACD Highlight Zones to easily spot changes in market momentum and make more informed trading decisions.
The MACD Highlight Zones script visually enhances your chart by highlighting different zones based on the MACD's relationship to the zero line and its signal line. This script helps traders quickly identify the market's momentum and potential reversal points.
Features:
🟢 Green Background: Indicates the MACD line is above 0, signaling bullish momentum.
🟡 Yellow Background: Indicates the MACD line crosses the signal line, suggesting a potential momentum shift.
🔴 Red Background: Indicates the MACD line is below 0, signaling bearish momentum.
Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction
🟣 Understanding Divergence
As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction.
Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels.
For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock.
Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis.
🟣 Types of Divergence
1.Regular Divergence
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2.Hidden Divergence
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence
Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence.
🔵 Regular Divergence/Convergence
Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal.
🟣 Positive Regular Divergence (RD+)
In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it.
Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock.
🟣 Negative Regular Divergence (RD-)
This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence.
The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock.
🔵 How to use
By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences.
Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on.
Divergence in MACD Oscillator :
Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction.
Divergence in RSI Oscillator :
If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal.
Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity.
Divergence in AO Oscillator :
The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference.
It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows.
🔵 Table
The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator."
Exist :
If divergence exists, you'll see "+" in this row.
Consecutive :
Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row.
Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong."
Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
Divergence Signal [TradingFinder] RSI & MACD Reversal On Swing🔵 Introduction
Sometimes in analyzing price charts using indicators, you may observe a discrepancy. For instance, while the price of stocks, currencies, or commodities is increasing, the indicator shows a decrease. Such a phenomenon in technical analysis is termed "divergence." Divergences are categorized into three types based on their formation and the prediction they make about the continuation of the price trend: "Regular Divergence," "Hidden Divergence," and "Time Divergence."
🟣 Important :
• This indicator exclusively identifies regular divergences since its primary function is to detect reversal points.
• This indicator identifies divergences using three indicators: "Moving Average Convergence Divergence" (MACD), "Relative Strength Index" (RSI), and "Awesome Oscillator" (AO). The user can choose each of these indicators in the settings using the "Divergence Detection Method" dropdown menu for identifying divergences. These settings are by default set to the MACD mode.
🔵Types of Divergence
Divergences, as mentioned, offer different predictions about the continuation of price trends. Hence, they have various types. We will focus on explaining regular divergences based on this indicator.
🟣 Regular Divergence(RD) :
Regular divergence is a situation arising from contradictory behavior between the indicator and the price chart at the end of a trend. By identifying regular divergences, we anticipate a change in trend direction resembling a reversal pattern.
Regular divergence has two types based on the trend and prediction:
Negative Regular Divergence (RD-) :
This type occurs between two price peaks at the end of an uptrend. Despite forming a new high, the indicator fails to recognize it, indicating a negative regular divergence. The likelihood of a subsequent downtrend is high. Negative divergence suggests strong selling pressure and weak buying power, portraying an unfavorable future for the stock.
Positive Regular Divergence (RD+) :
In contrast, positive regular divergence happens at the end of a downtrend and between two price troughs. As depicted in the chart, although the price forms a new low, the indicator doesn't acknowledge it. Positive regular divergence indicates robust buying pressure and weak selling power. Upon identifying positive divergence in the chart, we expect a price increase for the stock under review
🔵 How to Use
Information from the indicator is displayed in two ways: Table and Label.
🟣 Table : The table displays information about the latest divergence. This includes the type of divergence, existence or absence of divergence, consecutive divergences, divergence quality, and change in indicator phase.
Type Divergence : Indicates the type of divergence, which can be either "Bullish Divergence" or "Bearish Divergence."
Exist : Indicates the presence of divergence with a "+" sign and absence with a "-" sign. A green color is used for bullish divergence and red for bearish divergence.
Consecutive : Shows the number of consecutive divergences. For example, if there are 3 consecutive divergences, the number 3 is displayed.
Divergence Quality : Displays the quality of the divergence based on the number of consecutive divergences. If there is 1 divergence, the quality is "Normal"; for 2 divergences, it's "Good"; and for 3 or more divergences, it's "Strong."
Change Phase Indicator : Indicates whether a phase change in the indicator has occurred with "+" for yes and "-" for no.
🟣 Label : Unlike the table, which only shows information about the latest divergence, labels display information about each divergence at the point where it occurs. The information includes the type of divergence, detection method, divergence quality, consecutive divergences, and change in phase indicator. The selected method of detection is also displayed. For example, if the chosen method is the "AO" indicator, the label will show "Method: AO."
🔵 Settings
Fractal Period : Determines the period of swings. The minimum and default value is 2.
Divergence Detect Method : Selects the indicator (MACD, RSI, or AO) used for detecting divergences. The default indicator is MACD.
Show Fractal : Chooses whether to display fractals or not. The default is "No."
Show Table : Determines whether to display the table or not. The default is "Yes."
Show Label : Chooses whether to display labels or not. The default is "Yes."
Label Size : Adjusts the size of the labels from "Tiny" to "Large."
Bimmeresty's MACDImproved MACD with labels on histogram and color change feature on signal line.
Labels on histogram help gauge how strong the change is rather than visually comparing heights.
example: "histogram just put in its first rising candle, but its only rising by 0.01 therefore i should be suspicious of it and possibly wait for a second rising candle for further confirmation of reversal"
Color change on signal slope is better for gauging the directional bias and spotting reversals.
example: "slope is red, so negative, so i should prioritize shorts"
example: "slope just turned green, so positive, so we might be reversing bias here"
buy/sell signals with Support/Resistance (InvestYourAsset) 📣The present indicator is a MACD based buy/sell signals indicator with support and resistance, that can be used to identify potential buy and sell signals in a security's price.
📣It is based on the MACD (Moving Average Convergence Divergence) indicator, which is a momentum indicator that shows the relationship between two moving averages of a security's price.
📣 The indicator also plots support and resistance levels, which can be used to confirm buy and sell signals. The support and resistance can also be used as a stoploss for existing position.
👉 To use the indicator, simply add it to your trading chart. The indicator will plot three sections:
📈 Price and Signals: This section plots the security's price and the MACD buy and sell signals.
📈 MACD Oscillator: This section plots the MACD oscillator, which is a histogram that shows the difference between the two moving averages.
📈 Moving Averages: This section plots the two moving averages that the MACD oscillator is based on.
📈 Support and Resistance: This section plots support and resistance levels, which are calculated based on the security's recent price action.
👉 To identify buy and sell signals, you can look for the following:
📈 Buy signal: When shorter Moving Average crosses over longer Moving Average.
📈 Sell signal: When shorter moving average crosses under longer moving average.
📈 You can also look for divergences between the MACD oscillator and the security's price. A divergence occurs when the MACD oscillator is moving in one direction, but the security's price is moving in the opposite direction. Divergences can be a sign of a potential trend reversal.
👉 To confirm buy and sell signals, you can look for support and resistance levels take a look at below snapshot. If a buy signal occurs at a support level, it is a stronger signal than if it occurs at a random price level. Similarly, if a sell signal occurs at a resistance level, it is a stronger signal than if it occurs at a random price level.
⚡ Here is a example of how to use the indicator to identify buy signal:
☑ Add the indicator to your trading chart.
☑Look for a buy signal when short MA crosses over Long MA.
☑Look for the buy signal to occur at a support level.
☑Enter a long position at the next candle.
☑Place a stop loss order below the support level.
☑Take profit when the MACD line crosses below the signal line, or when the security reaches a resistance level.
⚡ Here is an example of how to use the indicator to identify a sell signal:
☑Add the indicator to your trading chart.
☑Look for a sell signal, when shorter moving average crosses under longer moving average.
☑Look for the sell signal to occur at a resistance level.
☑Enter a short position at the next candle.
☑Place a stop loss order above the resistance level.
☑Take profit when the MACD line crosses above the signal line, or when the security reaches a support level.
✅Things to consider while using the indicator:
📈Look for buy signals in an uptrend and sell signals in a downtrend. This will increase the likelihood of your trades being successful.
📈Place your stop losses below the previous swing low or support for buy signals and above the previous swing high or resistance for sell signals. This will help to limit your losses if the trade goes against you.
📈Consider taking profits at key resistance and support levels. This will help you to lock in your profits and avoid giving them back to the market.
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