MTF MomentumUniqueness:
MTF Momentum is designed to provide true multiple-timeframe information at once on a single screen with as little clutter as possible. What makes MTF Momentum unique is the way it condenses the perspectives of our other internal models into a single bullish or bearish slope near the current candle, then automatically draws the same bullish or bearish momentum slopes of the next higher timeframes. The structure is engineered to highlight shifts in momentum as they happen on the current candle (angled lines), marking potential reversal points as they build (red and green diamonds), and provides a numerical Q-Score that draws a horizontal marker for elevated Q-Score exhaustion. The design avoids telling you when to buy or sell. Instead, it structures the raw inputs in a way that makes interpretation easier. That makes it useful whether you’re trading actively or simply learning to recognize how momentum flows across layers.
Usefulness:
This indicator is designed to work across multiple timeframes. Instead of juggling the same indicator on 3 different screens, you can see a unified picture that captures both the local momentum and higher timeframes that provide time-dimensional context. When short-term and higher-timeframe angles point in the same direction, MTF Momentum makes that visible in a straightforward way and may help highlight when momentum is consistent across multiple timeframes. When short-term layers push against a stronger higher timeframe, it signals that momentum may be shifting or exhausting. This indicator provides an efficient workflow and helps reduce clutter.
How It Works:
At its core, MTF Momentum is a blend of momentum readings from multiple sources — RSI slopes, EMA stacks, Gaussian smoothing, Fisher-style transforms, and MACD widening analysis built from the same shared core mathematical engines as our other indicators. The uniqueness of this indicator is not tied to any single formula as each component is well-known, but it is in the way they are layered, smoothed, and consolidated that entirely new readings are created.
The process begins with multiple RSI calculations, offset and averaged to reduce jitter. These are smoothed through EMA stacks of varying lengths, then run through Gaussian-style filters that emphasize directional change while filtering noise. The slope differences across these layers form the foundation of the momentum calculation. This momentum reading is then checked against MACD widening conditions. MACD gap expansion is treated as a momentum confirmation — widening gaps with price in agreement add weight, while narrowing gaps or misaligned candles reduce confidence. Additional derivative logic, including Fisher-style transforms, is applied to normalize the outputs and make them more stable across different assets.
Multi-timeframe integration comes from using request.security to pull higher timeframe versions of the same structures that are on the base chart. For example, you can see a one-minute chart overlaid with five-minute and fifteen-minute context. The blending is seamless — higher timeframe momentum is displayed alongside lower timeframe signals that help the user see where current timeframe momentum is in relation to higher timeframes.
How to Use the MTF Momentum Indicator:
Applying the MTF Momentum indicator is straightforward, but interpretation depends on your process.
To use, load the indicator on your preferred base timeframe. Use this general guideline to setup your indicators:
Base timeframe -> 1st HTF -> 2nd HTF
1min -> 5min -> 15min
5min -> 15min -> 1hr
15min -> 1hr -> 4hr
1hr -> 4hr -> 1day
4hr -> 1day -> Weekly
1day -> Weekly -> Monthly
Weekly -> Monthly -> Yearly
When used at base timeframes at 1 hour or lower, higher timeframe lines ARE drawn automatically.
When using a base timeframe above 1 hour (e.g., 4h, Daily), higher-timeframe slopes are NOT drawn automatically. To view them, switch to the higher-timeframe chart itself (for example, Daily or Weekly) and draw an arrow along the slope using TradingView’s drawing tools. Once placed, the arrow will remain visible when you return to your lower base timeframe chart, giving you the higher-timeframe context alongside your current view. This step is optional, purely for visual reference, and does not affect the indicator’s calculations.
These are your higher timeframe momentum angles that can help provide context to the automatically drawn angle on your current timeframe. You can even practice drawing these lines on the lower timeframes such as using a 5min base and 15min and 1hr HTF charts. You can compare your manually drawn angles with the automatic HTF lines by enabling them in the INPUTS tab of the MTF Momentum settings menu.
Q-SCORE:
The Q-Score label presents two values ranging from 0 to 100. These values are a numerical translation of the same momentum conditions our other indicators display visually. Higher values indicate stronger readings of exhaustion within the current trend model, while lower values indicate less. You can think of this as similar to a distribution curve, where some states occur less frequently at the extreme ends of the range and more frequently near the middle. Q-Score values are provided as contextual information only and do not predict reversals or guarantee outcomes.
Blue Dotted & Solid Horizontal line:
The aqua blue horizontal line is a visual representation of the Q-Score values. When one or both numerical values is below 85 the line stays dotted -- it is only when both numerical values exceed 85 that the line changes from dotted to solid.
Green & Red Diamonds:
Diamonds mark areas where the underlying model detects counter-trend behavior. They may flicker on the current candle during intrabar calculations but are locked in at candle close and never get altered or repainted.
Red diamonds highlight points where the model detects counter-trend pressure during a bullish phase. Green diamonds highlight counter-trend pressure during a bearish phase. These markers reflect where momentum conditions have shifted relative to the prevailing trend. They appear where short-term dynamics differ from the broader trend. Traders can interpret these areas in their own context; the diamonds themselves do not predict reversals or guarantee outcomes.
Example ways to use the MTF Momentum indicator:
Look for agreement -- when both your base timeframe and higher timeframe momentums are pointing in the same direction, it reflects stronger alignment. This may help identify areas of trend continuation.
Watch for divergence -- if your short-term momentum pushes opposite to the higher timeframe, it flags a potential transition.
Disclaimer:
This tool does not generate buy or sell signals. It is a framework for visualizing momentum across layers, allowing you to incorporate that information into your own decision-making. How you apply it depends entirely on your goals, timeframe, and risk tolerance. This indicator is provided for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment recommendations. Trading involves risk, and you may lose some or all of your capital. Past performance is not a guarantee of future results. You are solely responsible for any decisions you make — always trade to the best of your own abilities and within your own risk tolerance.
Release Notes:
v1.0 (Initial Release)
趨勢分析
Friday/Monday & Wednesday/Thursday Pattern DashboardMade this indicator off the below.
If the high during the FRIDAY is not as high as the high on THURSDAY, then the odds are overwhelmingly high that whatever low you made on FRIDAY will be visited on MONDAY during the REGULAR TRADING SESSION.
Also, if Wednesday's high is lower than Monday's high, then you will see the lows of Wednesday being visited on Thursday.
15m FVG Inversion + Order BlockThe indicator finds the inversion of the FVG 15 minutes and the order block, after which it gives an entry signal.
NQ Scalping System (1-Min Optimized) — StrategyNQ Scalping System — What this does (in plain English)
You’re buying pullbacks in an uptrend and selling pullbacks in a downtrend.
Trend = EMA89. Entries lean on EMA8/EMA21 touches + a StochRSI reset & cross so you’re not chasing candles. Optional Volume and MACD filters keep you out of weak moves. A time window avoids dead markets and the first noisy minute.
Long setup
Price above EMA89 (trend up)
Price pulls back to EMA8 (or EMA21 if fallback is on) by at least your Min Pullback (NQ points)
StochRSI resets to oversold and %K crosses up %D
(Optional) Volume thrust and MACD momentum confirm
Within your session window
Short = mirror image.
Exits you control
Stop/Target: ATR-based (adaptive) or fixed scalp points
Trailing stop: only arms after price moves your way by X points, then trails by your offset
Early exit options: StochRSI fade, EMA break, trend break, or opposite divergence
Quick scalp: grab a few points or bail after X bars if nothing happens
Reality check
This is a rules → orders system. It will not match eyeballed indicator labels. Fills, gaps, and trail behavior are real. That’s the point.
How I’d run it (defaults that won’t waste your time)
Use ATR stops/targets by default
EMA21 fallback = ON (you’ll miss fewer good pullbacks)
MACD filter = ON when choppy; OFF when trends are clean
Volume multiplier: start modest, bump it up if you get chopped
Session: keep RTH (e.g., 09:30–15:45 ET) and skip the first minute
Quick presets for higher timeframes
Use these as starting points and then nudge to taste.
5-Minute (intraday swings)
OB/OS: 80 / 20
Volume Multiplier: 1.3
MACD: 8 / 21 / 5
ATR Stop× / Target×: 1.8–2.2 / 2.5–3.0
Min Pullback: 1.0–1.5 pts
Quick Scalp: 6–10 pts, Bars: 12–20
Trailing: Activation 6–8 pts, Offset 3–4 pts
Divergence: Hidden ON, MTF OFF
15-Minute (session legs)
OB/OS: 85 / 15
Volume Multiplier: 1.4
MACD: 8 / 21 / 5
ATR Stop× / Target×: 2.0–2.5 / 3.0–4.0
Min Pullback: 1.5–2.5 pts
Quick Scalp: 12–18 pts, Bars: 16–30
Trailing: Activation 10–14 pts, Offset 5–6 pts
Divergence: Hidden ON, MTF ON (LTF = 5m)
30-Minute (bigger intraday trends)
OB/OS: 88 / 12
Volume Multiplier: 1.5
MACD: 12 / 26 / 9 (or 8 / 21 / 5 if you want faster)
ATR Stop× / Target×: 2.2–2.8 / 3.5–5.0
Min Pullback: 2.5–4.0 pts
Quick Scalp: 18–28 pts, Bars: 20–40
Trailing: Activation 16–24 pts, Offset 6–8 pts
Divergence: Hidden ON, MTF ON (LTF = 5m or 15m)
1-Hour (multi-hour swings)
OB/OS: 90 / 10
Volume Multiplier: 1.6–1.8
MACD: 12 / 26 / 9
ATR Stop× / Target×: 2.5–3.5 / 4.0–6.0
Min Pullback: 4–7 pts
Quick Scalp: 30–50 pts, Bars: 24–60
Trailing: Activation 28–40 pts, Offset 10–15 pts
Divergence: Hidden ON, MTF ON (LTF = 15m)
Tuning tips (read this)
Getting chopped? Raise Min Pullback, raise Volume Multiplier, leave MACD ON, and narrow your session.
Missing moves? Turn EMA21 fallback ON, lower Volume Multiplier, relax OB/OS (e.g., 75/25 on 5m).
Flat days? Use Quick Scalp and a tighter Trail Activation to lock gains.
SatoshiFrame Elliott WaveAuto Elliott Wave Counter – Automatically detects and labels Elliott Waves on your chart. Simple, fast, and customizable for smarter market analysis.
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders
What it is
BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change.
Use it to:
• Detect emerging trends sooner without overreacting to noise.
• Filter mean-reversion vs continuation opportunities.
• Gate entries with a confidence score that reflects both strength and persistence of the move.
• Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself.
⸻
Why it’s different
• Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade.
• Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter.
• Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each.
• No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references.
• Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed.
⸻
What you see on the chart
• Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious.
• Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise.
• Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence.
• Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45).
• Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics.
⸻
How it works (under the hood)
1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules).
2. Per-bin features (computed every bar):
• RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1.
• Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift).
3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0.
4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies.
5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA.
Why it doesn’t repaint:
• No future references, no MTF resampling, fitness updates only on confirmed bars.
• All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally.
⸻
Signals & confidence
• Bullish bias: consensus ≥ bullThr (e.g., 55).
• Bearish bias: consensus ≤ bearThr (e.g., 45).
• Confidence (0–100):
• Distance score: how far consensus is from 50.
• Momentum score: how strong the recent change is versus its recent average.
• Combined into a single gate; start filtering entries at ≥60 for higher quality.
Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45.
⸻
Inputs you’ll actually tune
• Agents & horizons:
• N_agents (e.g., 64–128)
• lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing)
• numBins (e.g., 12–24)
• Weights & smoothing:
• wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto)
• deadBand (0.03–0.08)
• consSmooth (3–8)
• Thresholds & hygiene:
• bullThr/bearThr (55/45 default)
• cooldownBars to avoid signal spam
⸻
Playbooks (ready-to-use)
1) Breakout / Trend continuation
• Timeframe: 15m–1h for day/swing.
• Filter: Take longs only when consensus > 55 and confidence ≥ 60.
• Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints.
2) Mean reversion (fade)
• When: Sideways days or low-volatility clusters.
• Setup: Increase deadBand and consSmooth.
• Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50.
• Targets: The neutral zone (~50) as the first take-profit.
3) Multi-TF alignment
• Keep BioSwarm on 1H for bias, execute on 5–15m:
• Only take entries in the direction of the 1H consensus.
• Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan).
⸻
Integrations that work
• DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree.
• ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short).
• Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers.
⸻
Quick start
1. Drop the indicator on a 1H chart.
2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45.
3. Trade only when confidence ≥ 60.
4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits.
⸻
Non-repainting & safety notes
• No request.security(); no hidden lookahead.
• Bar-close confirmation for fitness and signals.
• All TA calls are unconditional (no “sometimes called” warnings).
• No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin.
⸻
Known limits & tips
• Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40.
• Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47.
• Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96).
• Compute load: Large N_agents × numBins is heavier; scale to your device.
⸻
Example recipes
EURUSD 1H (swing):
lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45
Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level.
SPY 15m (US session):
lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05
On trend days, stay with longs as long as consensus >55; add on shallow pullbacks.
BTC 1H (24/7):
Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals.
⸻
Final word
BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Slingshot System By Dusty InvestmentsSlingshot System by Dusty Investments
What it is
A trend-following pullback system designed to time entries inside an established trend using a two-EMA “cloud” plus a Stochastic-RSI K oscillator.
It's the improved version of this script:
It plots:
An EMA cloud (trend and pullback filter)
Long/Short setup markers
“TAKE PROFIT” markers based on the oscillator
Core building blocks
Trend filter (EMA Cloud)
Fast EMA vs Slow EMA
Uptrend: Fast EMA > Slow EMA
Downtrend: Fast EMA < Slow EMA
The area between the two EMAs is filled (the “cloud”).
Cloud touch
The system requires price to touch/pierce the cloud with a small tolerance (configurable) to qualify a pullback.
Oscillator
K is a smoothed Stochastic of RSI (StochRSI K).
Oversold/Overbought levels default to 20/80, with a small tolerance kTol to avoid edge flicker.
Long logic (pullbacks within uptrend)
Purpose: Catch a second, “higher” dip during an uptrend.
Steps:
Candidate V1: While in uptrend, if K ≤ Oversold and price touches the EMA cloud, a V1 candidate is stored (the first dip).
Deal lock: When K later reaches ≥ Overbought in uptrend, the last V1 candidate is “locked in” as V1 for this cycle.
V2 search: After the lock, if another pullback appears (still in uptrend, K ≤ Oversold, price touching the cloud) and the low stays strictly above V1’s low, the script starts searching for the best V2 low (the lowest low of this second dip that remains above V1’s low).
Long signal: When K exits the oversold area, if a valid V2 was found above V1’s low, the indicator places a LONG label at that V2 low.
Take profit for Long: The “TAKE PROFIT” marker is shown when K crosses up through the Overbought level (≥ 80 by default).
Short logic (pullbacks within downtrend)
Purpose: Catch lower‑high pullbacks during a downtrend. The workflow is explicit and labeled:
D1 (first anchor): In downtrend, when price touches the cloud and K ≥ Overbought, mark D1 (the first high).
Valley: The first time K reaches ≤ Oversold after D1.
D2 (setup high): After the valley, the first bar that again touches the cloud with K ≥ Overbought and makes a strict Lower High vs D1 becomes D2. This opens a “window.”
Signal (live): From D2 until confirmation, the Signal marker follows the most recent swing high that forms on downtrend bars. It never tracks uptrend bars.
Confirmation: The first time K reaches ≤ Oversold after D2, the Signal is fixed at the last tracked high. From here the system waits for TP.
Take profit for Short: The “TAKE PROFIT” marker is shown when K crosses back above the Overbought level (≥ 80 by default).
Chaining (New D1): At TP, the prior D2 is promoted to “New D1,” allowing the next cycle to form if conditions repeat (D1 → Valley → D2).
What the labels mean
LONG: A validated long setup at the V2 low (second dip above the first dip’s low) within an uptrend.
SHORT: The live Short entry marker that moves to the latest downtrend swing high between D2 and confirmation; it gets fixed when K hits ≤ Oversold.
TAKE PROFIT: Suggestive exit markers tied to the K oscillator (Long TP when K crosses up 80; Short TP when K crosses up 80 after a Short confirmation).
Strict constraints baked in
No signals against the trend
Fast EMA / Slow EMA periods (trend and cloud)
RSI period for the StochRSI, Stochastic period, and K smoothing
Oversold/Overbought levels (defaults 20/80)
Cloud touch tolerance (percent)
kTol: tolerance around 20/80 thresholds for K
How to use it
Pick your market and use the 4H timeframe since you get the best results this way.
Trade with the trend:
Uptrend: Watch for LONG markers (V1 then V2 higher‑low behavior).
Downtrend: Watch the D1 → Valley → D2 sequence. The Signal marker appears after D2 and is fixed at confirmation; TP comes on K > 80.
Calibrate touchTolPct and kTol per symbol/timeframe to match how tightly you want to require cloud touches and K thresholds.
Risk management is up to you. The indicator outputs entries and TP suggestions; it does not set stops.
Notes
Signals confirm at bar close. During a Short window, the live Signal may move to newer downtrend highs; once confirmed, it becomes fixed.
The LONG side is symmetrical in spirit (pullback‑then‑higher‑low in uptrend), but naming uses V1/V2 instead of D1/D2.
Golden Cross Master Filter by Carlos ChavezForget noisy Golden/Death Cross signals.
This is the **Golden Cross Master Filter** – built for traders who demand institutional-level confirmation.
✅ Exact EMA cross points with circle markers
✅ ATR / ADX / DI+ / DI- / Volume filters
✅ Gap% detection
✅ Visual OK/X dashboard
✅ Instant BUY/SELL labels & ready-to-use alerts
Cut the noise. Trade only the strongest crosses. 🚀
Golden Cross Master Filter is a professional tool to detect Golden and Death Crosses with institutional-grade filtering.
🚀 Features:
- ✅ ATR / ADX / DI+/DI- / Volume conditions
- ✅ Gap% detection (daily gap between yesterday’s close and today’s open)
- ✅ Visual dashboard with OK/X status
- ✅ Exact circle markers at EMA cross points
- ✅ Ready-to-use BUY/SELL labels when filters are confirmed
- ✅ Built-in alerts for easy automation
This indicator is designed for intraday and swing traders who rely on EMA crosses but want to eliminate false signals.
It works across multiple timeframes (10m, 1h, 4h, Daily) and adapts to different trading styles.
Whether you trade CALLs/PUTs or just want stronger confirmation for Golden/Death Crosses, this filter helps you focus only on high-probability setups.
MTF EMA Smooth Indicator By : KaizenotradingPHThis indicator script can display three different timeframe MTF EMA indicators simultaneously. The special thing of this script is that it has smoothing feature that can smooth the MTF EMA but only in minutes and hours timeframe (script limitation). You can enable the anti repainting as well which reference the previous bar. These features are useful for customize strategies scripts to avoid repainting. Additionally, this script have customizable length for the three MTF EMA indicators.
البوصلة الملونة — Trend Compassبوصلة الاتجاه — النسخة الملونة
مؤشر يساعد المتداول على التعرف بسرعة على قوة الاتجاه ومن المسيطر (المشترون أم البائعون).
✨ المميزات:
تلوين المنطقة بين الخطين حسب الغلبة (أخضر للمشترين، أحمر للبائعين).
خط قوة الاتجاه يتغير لونه حسب لون الشمعة (أخضر عند الصعود، أحمر عند الهبوط).
فلتر للاتجاه: يتم تجاهل الإشارات الضعيفة إذا كانت قوة الاتجاه أقل من الحد المطلوب.
تصميم نظيف وألوان واضحة لسهولة القراءة.
⚠️ تنويه:
هذا المؤشر أداة مساعدة وليست توصية بيع أو شراء. يفضل استخدامه مع أدوات أخرى مثل الدعوم والمقاومات أو مؤشرات الزخم للحصول على قرارات أدق.
Trend Compass — Colored Version
This indicator helps traders quickly identify the strength of the trend and who is in control (buyers or sellers).
✨ Features:
Colored area between the two lines depending on dominance (green for buyers, red for sellers).
The trend strength line changes its color according to candle direction (green for bullish, red for bearish).
Built-in filter: weak signals are ignored when the trend strength is below the chosen threshold.
Clean design with clear visuals for easy interpretation.
⚠️ Disclaimer:
This indicator is a supportive tool, not a buy/sell recommendation. For better accuracy, combine it with other tools such as support/resistance or momentum indicators.
Ichimoku x SMA by withearthIt shows a signal when the price passes through the Ichimoku Cloud and crosses the 120-day moving average.
It was designed with the expectation that it would be effective on the daily chart.
GQT - Weekly MAs on Any TFPlot the weekly 200SMA, 50SMA, 20SMA, and 21EMA on lower timeframes like 5m, 1h, 4h, etc.
Auto Levels & Smart Money [ #Algo ] Pro : Smart Levels is Smart Trades 🏆
"Auto Levels & Smart Money Pro" indicator is specially designed for day traders, pull-back / reverse trend traders / scalpers & trend analysts. This indicator plots the key smart levels , which will be automatically drawn at the session's start or during the session, if specific input is selected.
🔶 Usage and Settings :
A :
⇓ ( *refer 📷 image ) ⇓
B :
⇓ ( *refer 📷 images ) ⇓
🔷 Features :
a : automated smart levels with #algo compatibility.
b : plots auto SHADOW candle levels Zones ( smart money concept ).
c : ▄▀ RENKO Emulator engine ( plots Non-repaintable #renko data as a line chart ).
d : session 1st candle's High, Low & 50% levels ( irrespective of chart time-frame ).
e : 1-hour High & Low levels of specific candle, ( from the drop-down menu ), for any global market symbols or crypto.
f : previous Day / Week / Month, chart High & Low.
g : pivot point levels of the Daily, Weekly & Monthly charts.
h : 2 class types of ⏰ alerts ( only signals or algo execution ).
i : auto RENKO box size (ATR-based) table for 30 symbols.
j : auto processes " daylight saving time 🌓" data and plots accordingly.
💠Note: "For key smart levels, it processes data from a customized time frame, which is not available for the *free Trading View subscription users , and requires a premium plan." By this indicator, you have an edge over the paid subscription plan users and can automatically plot the shadow candle levels and Non-repaintable RENKO emulator for the current chart on the free Trading View Plan at any time frame .
⬇ Take a deep dive 👁️🗨️ into the Smart levels trading Basic Demonstration ⬇
▄▀ 1: "RENKO Emulator Engine" ⭐ , plots a noiseless chart for easy Top/Bottom set-up analysis. 10 types of 💼 asset classes options available in the drop-down menu.
LTP is tagged to current RSI ➕ volatility color change for instant decisions.
⇓ ( *refer 📷 image ) ⇓
🟣 2: "Shadow Candle Levels and Zones" will be drawn at the start of the session (which will project shadow candle levels of the previous day), and it comes with a zone. which specifies the Supply and Demand Zone area. *Shadow levels can be drawn for the NSE & BSE: Index/Futures/Options/Equity and MCX: Commodity/FNO market only.
⇓ ( *refer 📷 image ) ⇓https://www.tradingview.com/x/SIskBm77/
🟠 3: plots "Session first candle High, low, and 50%" levels ( irrespective of chart time-frame ), which a very important levels for an intraday trader with add-on levels of Previous Day, Week & Month High and Low levels.
⇓ ( *refer 📷 image ) ⇓
🔵 4: plots "Hourly chart candle" High & Low levels for the specific candles, selected from the drop-down menu with Pivot Points levels of Daily, Weekly, Monthly chart.
Note: The drop-down menu gives a manual selection of the hour candles for all "🌐 Crypto / XAU-USD / Forex / USA".
ex: "2nd hr" will give the session's First hour candle "High & Low" level.
⇓ ( *refer 📷 image ) ⇓
🔲 5: "Auto RENKO box size" ( ATR based ) : This indicator is specially designed for 'Renko' trading enthusiasts, where the Box size of the ' Renko chart ' for intraday or swing trading, ( ATR based ) , automatically calculated for the selected ( editable ) symbols in the table.
⇓ ( *refer 📷 image ) ⇓
*NOTE :
Table symbols are for NSE/BSE/USA.
Symbols are Non-editable (fixed).
Table Symbols for MCX only.
Table Symbols for XAU & 🌐CRYTO.
⏰ 6: "Alert functions."
⇓ ( *refer 📷 image ) ⇓
◻ : Total 8 signal alerts can be possible in a Single alert.
◻ : Total 12 #algo alerts , ( must ✔ tick the Consent check box for algo and alerts execution/trigger ).
💹 Modified moving average line. Includes data from both the exponential and simple moving average.
This Indicator will work like a Trading System . It is different from other indicators, which give Signals only. This script is designed to be tailored to your personal trading style by combining components to create your own comprehensive strategy . The synergy between the components is key to its usefulness.
It focuses on the key Smart Levels and gives you an Extra edge over others.
✅ HOW TO GET ACCESS :
You can see the Author's instructions to get instant access to this indicator & our premium suite. If you like any of my Invite-Only indicators, let me know!
⚠ RISK DISCLAIMER :
All content provided by "TradeWithKeshhav" is for informational & educational purposes only.
It does not constitute any financial advice or a solicitation to buy or sell any securities of any type. All investments / trading involve risks. Past performance does not guarantee future results / returns.
Regards :
TradeWithKeshhav & team
Happy trading and investing!
StockAlgo | Alpha v1.1Stock Algo Alpha provides Buy Sell indicators along with automated trading ability.
Momentum Moving Averages | MisinkoMasterThe Momentum Moving Averages (MMA) indicator blends multiple moving averages into a single momentum-scoring framework, helping traders identify whether market conditions are favoring upside momentum or downside momentum.
By comparing faster, more adaptive moving averages (DEMA, TEMA, ALMA, HMA) against a baseline EMA, the MMA produces a cumulative score that reflects the prevailing strength and direction of the trend.
🔎 Methodology
Moving Averages Used
EMA (Exponential Moving Average) → Baseline reference.
DEMA (Double Exponential Moving Average) → Reacts faster than EMA.
TEMA (Triple Exponential Moving Average) → Even faster, reduces lag further.
ALMA (Arnaud Legoux Moving Average) → Smooth but adaptive, with adjustable σ and offset.
HMA (Hull Moving Average) → Very responsive, reduces lag, ideal for momentum shifts.
Scoring System
Each comparison is made against the EMA baseline:
If another MA is above EMA → +1 point.
If another MA is below EMA → -1 point.
The total score reflects overall momentum:
Positive score → Bullish bias.
Negative score → Bearish bias.
Trend Logic
Bullish Signal → When the score crosses above 0.1.
Bearish Signal → When the score crosses below -0.1.
Neutral or sideways trends are identified when the score remains between thresholds.
📈 Visualization
All five moving averages are plotted on the chart.
Colors adapt to the current score:
Cyan (Bullish bias) → Positive momentum.
Magenta (Bearish bias) → Negative momentum.
Overlapping fills between MAs highlight zones of convergence/divergence, making momentum shifts visually clear.
⚡ Features
Adjustable length parameter for all MAs.
Adjustable ALMA parameters (sigma and offset).
Cumulative momentum score system to filter false signals.
Works across all markets (crypto, forex, stocks, indices).
Overlay design for direct chart integration.
✅ Use Cases
Trend Confirmation → Ensure alignment with market momentum.
Momentum Shifts → Spot when faster MAs consistently outperform the baseline EMA.
Entry & Exit Filter → Avoid trades when the score is neutral or indecisive.
Divergence Visualizer → Filled zones make it easier to see when MAs begin separating or converging.
Low History Required → Unlike most For Loops, this script does not require that much history, making it less lagging and more responsive
⚠️ Limitations
Works best in trending conditions; performance decreases in sideways/choppy ranges.
Sensitivity of signals depends on chosen length and ALMA settings.
Should not be used as a standalone buy/sell system—combine with volume, structure, or higher timeframe analysis.
52WH/last52WHbefore3Months/ATHThis indicator calculates and displays three values:
First, it calculates the current 52-week high and displays it as a line and in a table at the top right with the name, date, and price.
Corresponding color markings are also displayed on the price scale.
Next, the 52-week high that is at least three months ago is determined.
The corresponding candle is also labeled with a date. This past high is also displayed as a line, on the price scale, and in the table.
Finally, the current all-time high is determined and also displayed as a line, in the price scale, and in the table.
All display values can be turned on or off in the view, and the corresponding colors of the displays can also be freely selected.
(This script was developed by J. Heina, jochen.heina(at)gmail, in collaboration with the ChatGPT tool).
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SMC BOS - Structure Breaks & Median Continuation ProjectionsThis tool shows what usually happens after a Break of Structure (BOS).
It scans past BOS events on your chart, finds the ones most similar to the latest break (using ATR to filter by volatility), and then plots the median continuation path.
Optional percentile bands (P10–P90) display the possible range of outcomes around the median.
Key features:
• Automatic detection of bullish and bearish BOS events
• Library of past BOS with adjustable size and spacing
• ATR-based similarity and recency weighting
• Median continuation projections with optional percentile bands
• Customizable colors, signals, and stats table
• Works on any market and timeframe
Use cases:
• See how price typically behaves after a BOS
• Support SMC analysis with data-driven projections
• Improve trade planning by visualizing likely continuations
• Apply across crypto, forex, stocks, and futures
Originality:
Instead of only marking BOS, this script learns from history and projects forward the median path of the most similar past cases, adjusted for volatility. It turns BOS signals into practical continuation scenarios.
Instructions:
Add the indicator to your chart. When a BOS is detected, the projection is drawn automatically.
Use the settings to adjust the library, ATR weighting, projection style, percentile bands, and the display of signals or stats.
For questions or customization, contact Julien Eche (Julien_Eche) on TradingView.
Advanced Trend & Volatility Indicator (VWAP & EMA360)Bollinger band with adjustable NO TRADE tool. green buy and red sell signals for 20 moving average added 360 moving average for micro trading. Has VWAP and additional EMA defaulted to 9 (adjust to your style). For confluence use this along with an RSI over bought and over sold WMA with similar green buy and red sell signals.
Fear Greed zones and Money Waves FusedThis indicator, named "Fear Greed zones and Money Waves" combines a smoothed Money Flow Index (MFI)-based wave and the Relative Strength Index (RSI) to visualize market sentiment through fear and greed zones and generate buy/sell signals.
Core Functions
- It calculates a zero-centered and smoothed version of the MFI (MoneyWave) using configurable smoothing methods (SMA, EMA, RMA) with parameters for length and smoothing intensity.
- It uses RSI to define fear and greed zones based on user-defined thresholds (e.g., RSI below 30 indicates fear, above 70 indicates greed).
- The MoneyWave area is color-coded based on these fear/greed RSI zones: dark green for fear, dark red for greed, and yellow neutral.
- The edge line of the MoneyWave shows bullish (lime) when above zero and bearish (red) when below zero.
Visual Elements
- Plots the MoneyWave as a colored area with an edge line.
- Displays horizontal lines representing the zero line and upper/lower bounds derived from MFI thresholds.
- Optionally shows direction change arrows when the MoneyWave sign changes and labels indicating BUY or SELL signals based on MoneyWave crossing zero combined with fear/greed conditions.
Trading Signals and Alerts
- Buy signal triggers when MoneyWave crosses upward through zero while in the fear zone (RSI low).
- Sell signal triggers when MoneyWave crosses downward through zero while in the greed zone (RSI high).
- Alerts can be generated for these buy/sell events.
In summary, this indicator provides a combined measure of money flow momentum (MoneyWave) with market sentiment zones (fear and greed from RSI), helping identify potential market entry and exit points with visual markers and alerts .
Multi-Timeframe High/Low/Close Levels (H1–H4–D–W–M)This indicator plots multi-timeframe levels (High, Low, Close) for the following periods:
H1 (1-Hour)
H4 (4-Hour)
Daily (1-Day)
Weekly (1-Week)
Monthly (1-Month)
Key Features:
Draws High, Low, and Close levels for each timeframe.
Each level starts from its own candle and extends to the right.
Levels are filtered to stay close to the current price, keeping the chart clean.
Automatic line management ensures that the total number of levels never exceeds the user-defined limit (default: 300, adjustable up to 400).
Customizable colors, widths, and visibility for each timeframe in the Style tab.
Usage:
Use these levels as dynamic support and resistance zones.
Higher-timeframe levels are drawn with stronger colors and thicker lines, giving visual priority over lower-timeframe levels.
Consecutive Close ScannerOverview
Continuous Close Scanner (CCS) highlights and quantifies runs of consecutive bullish or bearish closes. The indicator draws boxes around qualifying runs (configurable minimum consecutive closes), optionally displays the percent move for each run, counts run starts inside a configurable lookback window, and can show the immediate reverse move until two confirming bars on the opposite side.
Key features
• Detects runs of N consecutive closes (input Consecutive bars).
• Shades active runs with colored boxes and optionally prints percent move.
• Counts how many qualifying runs started within the lookback window (table).
• Optional reverse-move tracker: shows live and final reverse move after a run ends (stops when two confirming opposite closes occur).
• Configurable colors, transparency, table position, and lookback.
• Built in safeguards for TradingView limits (box/label caps configured).
How it works (brief)
When the number of consecutive bullish (close>open) or bearish (close
Tomorrow's Pivot Points [SMH]這個TradingView指標不同於內置的Pivot Point指標,因為它能夠提前顯示明天的Pivot Point。透過預測下一交易日的支撐與阻力位置,交易員可以更早部署策略,為隔日的市場波動做好準備。
This TradingView indicator is different from the built-in Pivot Point tool because it can display tomorrow’s Pivot Points in advance. By forecasting support and resistance levels for the next trading day, traders can position their strategies earlier and be well-prepared for upcoming market movements.