8/21 EMA Direction + SignalsA simple directional bias script using 8/21 EMA and a few internals in options.
Indicator
Moving Averages
EMA Pro+ Suite# EMA Pro+ Suite
**A multi-layer EMA confluence framework for reading market state at a glance.**
---
## What It Is
EMA Pro+ Suite is an overlay indicator built around three exponential moving averages — a Fast (10), Mid (20), and Slow (50) EMA — organized into a structured three-layer state engine that tells you the current market regime, momentum direction, and whether price is in or out of alignment with that regime. Rather than treating each EMA in isolation, the suite reads them together as a system and surfaces a single, coherent market state at all times.
A corner dashboard table updates in real time, giving you an instant read on bias, momentum, alignment, EMA slopes, and price extension — without having to scan the chart manually.
---
## How It Works
The indicator evaluates three distinct layers on every bar:
**Layer 1 — Bias (Trend Regime)**
Defined by price relative to the 50 EMA. Price above = bullish bias. Price below = bearish bias. This is the macro filter — it determines which direction setups should be taken in.
**Layer 2 — Momentum**
Defined by the 10 EMA relative to the 20 EMA. When the fast EMA is above the mid EMA, momentum is bullish. When below, momentum is bearish. Momentum alignment with bias is the confirmation layer.
**Layer 3 — Price vs Fast EMA**
When bias and momentum are aligned but price is on the wrong side of the 10 EMA, the indicator flags a potential pullback or exhaustion condition. In a full bull regime, price dipping below the 10 EMA may represent a high-quality entry opportunity — or an early warning of trend exhaustion. Context determines which.
**Slope Engine**
Each EMA is evaluated for slope using a configurable lookback. RISING / FLAT / FALLING is displayed per EMA in the dashboard. A momentum flip on flat EMAs carries significantly less weight than one on rising or falling EMAs — this is critical for filtering out noise in ranging conditions.
**Price Distance from 50 EMA**
Tracks how extended price is from the slow EMA as a percentage. Large positive or negative readings flag mean reversion risk.
**Bar & Background Coloring**
- Green background + green bars = full bull alignment
- Red background + red bars = full bear alignment
- Yellow bars = conflicting bias and momentum (mixed / transitional state)
- Aqua bars = bull regime, price pulling back below 10 EMA
- Fuchsia bars = bear regime, price popping above 10 EMA
**Cross Signals**
- `M↑` (green) — 10 EMA crossed above 20 EMA in bull zone. Aligned, higher conviction.
- `M↓` (red) — 10 EMA crossed below 20 EMA in bear zone. Aligned, higher conviction.
- `M↑ 🐻` (orange) — Bullish momentum flip firing in bear zone. Counter-trend, lower conviction.
- `M↓ 🐂` (orange) — Bearish momentum flip firing in bull zone. Counter-trend, lower conviction.
**Multi-Timeframe Support**
All three EMAs can be calculated on a higher timeframe and plotted on the current chart. Use this to anchor your bias to the HTF structure while reading entries on a lower timeframe.
---
## Possible Ways to Use It
**Trend Following**
Wait for full alignment — green background, green bars, all three slopes RISING. Only look for long entries. Use the 10 EMA pullback (aqua bars) as a potential entry trigger. Reverse logic for shorts.
**Momentum Flip Entries**
Use aligned `M↑` / `M↓` signals (green/red) as entry triggers when bias and slope confirm. Discard or fade counter-trend orange signals unless you have a specific reason to trade against the regime.
**Regime Filter for Other Systems**
Use the bias layer (price vs 50 EMA) as a filter for another strategy. Only take long signals from your primary system when EMA Pro+ shows bull bias, and vice versa.
**HTF Confluence**
Set the EMA Timeframe to a higher timeframe (e.g. 4H or Daily) while trading on a 15m or 1H chart. The dashboard will show the HTF regime, giving you a structural anchor for your intraday reads.
**Avoiding Chop**
When all three slopes read FLAT and bars are yellow (mixed alignment), the market is in a transitional or ranging state. Consider standing aside or reducing position size until a clear regime re-establishes.
**Mean Reversion Awareness**
When Dist 50 shows a large positive or negative reading, price is extended from the slow EMA. In trending markets this can persist — but it raises the bar for adding to positions and flags potential snapback risk.
---
## Settings
| Setting | Description |
|---|---|
| EMA Timeframe | Blank = current chart timeframe. Enter any TF (e.g. 60, 240, D) for MTF mode. |
| Fast / Mid / Slow EMA Length | Default 10 / 20 / 50. Fully adjustable. |
| Slope Lookback | Number of bars used to calculate EMA slope. Increase on lower timeframes to reduce flat readings. |
| Show EMA Lines | Toggle the three EMA plots. |
| Show Bias Background | Toggle the green/red background tint. |
| Color Bars by State | Toggle bar coloring. |
| Show Cross Signals | Toggle M↑ / M↓ labels on chart. |
| Show Dashboard Table | Toggle the corner HUD. |
| Table Position | Top Right / Top Left / Bottom Right / Bottom Left. |
| Bar Close Reminder Alert | Fires a reminder alert on every bar close to check the setup. |
---
## Alerts
- Momentum Flip Bullish — Bull Zone (aligned)
- Momentum Flip Bullish — Bear Zone (counter-trend)
- Momentum Flip Bearish — Bear Zone (aligned)
- Momentum Flip Bearish — Bull Zone (counter-trend)
- Price Reclaimed 50 EMA (bias flipped bullish)
- Price Lost 50 EMA (bias flipped bearish)
- Bull Pullback Signal (bull regime, price below 10 EMA)
- Bear Pullback Signal (bear regime, price above 10 EMA)
- Bar Close Reminder
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. All trading involves substantial risk of loss. Past performance of any signal, strategy, or system is not indicative of future results.
EMA Pro+ Suite is a tool to assist with technical analysis — it does not predict price, guarantee accuracy, or remove the inherent uncertainty of financial markets. No indicator eliminates risk. You are solely responsible for your own trading decisions.
Always conduct your own research, apply proper risk management, and consider consulting a licensed financial professional before making any trading decisions. Only trade with capital you can afford to lose.
Indicator
Universal Scalper SystemThe Universal Scalper System is a powerful technical indicator designed specifically for intraday scalping on lower timeframes like 1-minute and 5-minute charts. It provides a streamlined approach to trading by combining trend identification with essential market data.
Key Features:
9 EMA Crossover: Generates clear, actionable Buy and Sell signals the moment the price crosses and closes beyond the 9-period Exponential Moving Average (EMA).
Live Market Dashboard: Includes a fully customizable dashboard that displays:
Current Chart Timer: Countdown until the current candle closes.
15-Minute Timeframe Timer: Tracks the closure of the 15-minute candle for higher-timeframe context.
Real-time Candle Info: Shows if the current candle is Bullish or Bearish along with live volume data.
Highly Customizable: Traders can easily adjust EMA settings, dashboard colors, text sizes, and dashboard positioning directly through the settings panel to fit their unique workspace.
Built-in Alerts: Features integrated alert conditions for both Buy and Sell signals, ensuring you never miss a trading opportunity.
This system is perfect for traders who prioritize speed, clean visuals, and real-time data at their fingertips.
Tags: Scalping, EMA, CrossOver, Dashboard, TradingSystem, PriceAction, TechnicalAnalysis, Indicator, Scalper, LiveTimer
Indicator
SMB Fashionably Late Scalp (9EMA x VWAP)SMB "Fashionably Late Scalp" (9 EMA × VWAP) — backtest & study tool
WHAT THIS IS
An open, fully tunable Pine v5 strategy implementation of the "Fashionably Late
Scalp," a 9-EMA-crosses-VWAP intraday setup published by SMB Capital. It is built
for honest backtesting and study of the setup's mechanics — not as a turnkey
profitable system (see "Honest notes on performance" below).
THE SETUP (long; short is the mirror)
1. Divergence — a sustained move separates the 9 EMA from the session VWAP.
2. The Turn — price puts in a distinct low of the day, then starts back up.
3. Convergence — the 9 EMA rises back and crosses VWAP. That cross is the trigger.
Entry: an up-sloping 9 EMA crossing a flat-to-downsloping VWAP (mirror for shorts).
Stop: 1/3 of the distance from VWAP to the low of day.
Target: a measured move — low-of-day to the cross, projected the same distance
beyond the cross.
TWO ENTRY MODES
• Anticipate cross (stop order) : PulseWire can normally only act on the
bar AFTER a cross. Because the EMA's next value is deterministic in price
(EMA_next = α·P + (1−α)·EMA_now), the script solves for the exact price P that
makes the 9 EMA meet VWAP and rests a stop order there — so it fills AT the cross,
intrabar. Non-repainting: the trigger is fixed on the closed bar and refreshed
each bar.
• React next bar open (market): conventional market entry on the confirmed cross
(fills one candle late). Kept for A/B comparison.
Note: the anticipatory trigger sits above VWAP by ~4× the EMA-to-VWAP gap (9-EMA
algebra), so the further the EMA lags VWAP at entry, the higher the fill and the
lower the realized reward:risk. A "Minimum reward:risk" input — measured from the
actual fill, not from VWAP — bounds this.
KEY INPUTS
• EMA length; separate EMA & VWAP slope lookbacks/thresholds (VWAP uses a longer
lookback so "flat-to-downsloping" reflects the day's posture, not a 1-bar wiggle)
• Stop fraction, stop-anchor mode, cross-price mode, minimum reward:risk
• "The turn" requirement, re-entry cooldown, long/short toggles
• Optional filters: ideal EST session windows (10:00–10:45 / 10:46–13:30), a
>15-minute EMA-flat veto, and a volume-confirmation filter
• A signal-funnel table (top-right) showing how many crosses survive each gate, so
you can see exactly what is or isn't triggering
REQUIREMENTS & BEHAVIOR
• Needs a volume-bearing instrument (stocks/futures). On symbols without real
volume the session VWAP is undefined and the script stops with a message.
• Session VWAP and the low/high of day share one daily anchor, so they reset
together across RTH/ETH/24h charts.
• Signals evaluate on closed bars; no lookahead. Set realistic commission and
slippage in the Strategy Properties before drawing any conclusions.
HONEST NOTES ON PERFORMANCE
The source cites roughly a 60% win rate at ~3:1 reward:risk. Those numbers come
from a discretionary playbook, and in my own testing this mechanical version does
NOT reproduce them — it is not reliably profitable out of the box. That is
expected: the original depends on trader judgment this code cannot encode
(selecting "in-play" names, reading the speed/quality of the turn, position sizing,
skipping messy tape), and scalping costs erode a thin edge quickly. Treat this as a
faithful study/backtest harness for the mechanics and a base to experiment on — not
a signal to trade live. Nothing here is financial advice; test and manage your own
risk.
CREDITS
Setup concept: SMB Capital ("The Fashionably Late Scalp," public cheat sheet).
Pine v5 implementation, the anticipatory-cross entry, and the diagnostics are mine.
Strategy
All Time Trend, BB and RSItüm zaman dilimlerinde tek ekranda BB RSI yüzdeliklerini gösteren bir indikatör
Indicator
[Quadapt] Machine Learning Trader Machine Learning Trader
A multi-component Pine Script v6 trading assistant combining a kernel-regression MLMA trend model, dual-length signal envelopes, order block context, retest scoring, adaptive Fibonacci targets, stop loss projection, signal quality filtering, and optional webhook automation.
## Description
Machine Learning Trader is a full-featured market structure and signal confluence indicator built around a Machine Learning Moving Average (MLMA) trend model. It is designed to help traders analyze trend direction, signal quality, order block context, potential retest areas, and adaptive take-profit / stop-loss levels from one chart overlay.
The script is not a black-box strategy or a guaranteed signal generator. It is a discretionary analysis tool that combines several independent market-context modules into one workflow so traders can compare trend, volatility, structure, momentum, and risk levels before making a decision.
### What Makes This Script Different
The core of the indicator is a kernel-regression MLMA engine. Instead of using only a classic moving average, the script builds a regression-style trend estimate using configurable kernel functions and regression modes. This produces a smoothed adaptive trend line and cloud that can be used as a directional context filter.
The MLMA is combined with:
- dual-length nonlinear signal envelopes,
- market structure and order block detection,
- intelligent retest scoring,
- adaptive Fibonacci take-profit projection,
- stop-loss projection,
- multi-timeframe MLMA trend alignment,
- signal quality filtering,
- clustering prevention,
- market regime adaptation,
- optional webhook payload generation.
The result is a confluence-focused indicator: a buy or sell marker is not treated as useful by itself. It is evaluated against the MLMA trend, recent order blocks, volatility regime, momentum, volume, cloud position, and multi-timeframe alignment.
### MLMA Trend Engine
The MLMA module calculates a machine-learning-inspired moving average using kernel methods. The script supports several kernel types, including:
- RBF,
- Linear,
- Polynomial,
- Sigmoid,
- Laplacian,
- Matern,
- Periodic,
- Trigo.
The regression mode can be configured as:
- GPR,
- KRR,
- KPCR,
- SVR,
- Kernel Smoothing,
- Adaptive RQ.
The MLMA output forms the main trend reference. The script also builds upper and lower MLMA bands using an error envelope derived from average absolute deviation around the MLMA output. These bands are used for the cloud, trend state, signal validation, and context scoring.
When the MLMA state is bullish, the script treats price behavior above or near the bullish support side of the cloud as more constructive. When the MLMA state is bearish, the script treats price behavior below or near the resistance side of the cloud as more defensive.
### Instrument-Agnostic Envelope Logic
The signal envelope section is designed to work across instruments with very different price scales, including forex pairs, JPY pairs, metals, oil, gas, indices, and crypto. The nonlinear envelope transform keeps the original algorithmic shape, but price distance is normalized relative to the instrument's local price level before the transform and restored back into price units afterward.
This matters because a raw price move on EURUSD, GBPJPY, XAUUSD, or XNGUSD has a very different numerical size. Normalizing the envelope distance helps the signal engine behave more consistently across instruments instead of being tuned only for one price scale.
### Dual-Length Signal Engine
The script calculates two separate signal envelopes:
- Primary Length: the slower, broader signal model.
- Secondary Length: the faster signal model.
The dual-length system can run in three modes:
- Independent: either length can produce a signal.
- Consensus: both lengths must agree.
- Primary Priority: only the primary length drives the final signal.
This allows traders to choose between sensitivity and confirmation. Independent mode produces more signals, consensus mode is stricter, and primary priority keeps the chart focused on the slower model.
Signal labels can show regular and stronger buy/sell conditions. When both lengths align in Independent mode, the script can also mark BOTH signals.
### Order Block Detection
The order block module searches for volatility-based bullish and bearish blocks using candle direction, volatility expansion, momentum, optional volume confirmation, and trend alignment. Blocks can be displayed as chart boxes with volume and quality information.
Order block detection includes configurable controls for:
- volatility method,
- volatility length,
- smoothing length,
- minimum separation between blocks,
- maximum blocks per direction,
- consolidation filtering,
- trend filtering,
- volume filtering,
- momentum filtering,
- block display style.
The script assigns order block quality using factors such as block size, directional pressure, displacement, market structure, MLMA trend context, and volume. Higher-quality blocks can be emphasized while weaker blocks can be faded.
### Retest Detection
The retest engine evaluates whether price has returned to a recent order block in a meaningful way. Retests can be scored using:
- block strength,
- clean movement away from the block,
- volume confirmation,
- MLMA trend alignment,
- volatility regime,
- reaction quality near the block.
Retest labels can be displayed as simple `R` markers. Strong and weak retests can be controlled separately, and optional percentage display can show the retest confidence score.
### Adaptive Fibonacci Take Profit Levels
The script can project take-profit levels after valid buy or sell signals. The TP engine supports several methods:
- Dynamic ATR,
- Swing-Based,
- Adaptive Swing,
- Heuristic.
It can display multiple Fibonacci extension targets, optional confluence zones, and TP hit status. The TP table shows the current trade direction, entry reference, target levels, stop loss, and active status.
The TP logic is filtered through MLMA and order block context. For example, a buy signal is considered valid when MLMA context supports the buy, or when price is near a supportive bullish order block. This helps reduce target plotting during low-quality or conflicting conditions.
### Stop Loss Projection
The stop-loss module supports:
- ATR-based stops,
- swing-based stops,
- order-block-based stops,
- percentage-based stops.
Stop levels are plotted only after a valid trade setup is detected. The script also tracks whether price has reached the projected stop or take-profit levels.
### Signal Quality Engine
The signal quality engine scores buy and sell setups before final display. The quality score considers:
- MLMA trend context,
- price position relative to the MLMA,
- multi-timeframe alignment,
- order block support or opposition,
- volume quality,
- volatility regime,
- candle body behavior,
- momentum,
- choppy or no-trade conditions,
- cloud width and MLMA slope,
- recent loss-streak penalty logic.
Signals below the configured minimum score can be filtered out. If desired, rejected signals can also be displayed for research and tuning.
### Advanced Signal Filtering
The script includes adaptive clustering prevention and regime-aware filtering.
Clustering prevention reduces repeated signals in the same area by using a time window, ATR-based price window, decay factor, and maximum cluster count.
Regime-aware filtering adjusts confidence behavior using recent market context, including price movement, volatility trend, and volume trend. This helps the script respond differently in ranging, trending, quiet, and volatile periods.
### Multi-Timeframe Trend Table
The MLMA trend table summarizes the current trend state and several higher/lower timeframe states:
- current chart,
- 15m,
- 30m,
- 1H,
- 4H,
- 1D,
- 1W.
This table is useful for quickly checking whether the current signal is aligned with broader market direction.
### Market Exhaustion
The exhaustion module uses RSI, price extension, momentum change, and volume behavior to identify possible bullish or bearish exhaustion. Exhaustion markers are intended as context warnings, not standalone reversal signals.
### Webhook Automation
Optional webhook alerts can send structured payloads for external automation or journaling. The payload can include:
- symbol,
- ticker ID,
- timeframe,
- event type,
- action,
- account tag,
- risk percent,
- order type,
- entry,
- stop loss,
- TP levels,
- quality score,
- MLMA trend,
- bar time.
Webhook use is optional and should be tested privately before live use.
### Alerts Included
The script includes alert conditions for:
- ML Strong Buy Signal,
- ML Strong Sell Signal,
- ML Buy Signal,
- ML Sell Signal,
- rejected quality signals,
- wedge pattern,
- BOTH length signal,
- bullish order block,
- bearish order block,
- bullish exhaustion,
- bearish exhaustion,
- valid enhanced Fibonacci buy/sell signals,
- invalid buy/sell signals,
- Fibonacci TP hit,
- TP/SL levels set,
- order block retest,
- signal clustering,
- market regime change,
- advanced filtering active.
### How To Use
1. Add the indicator to a clean chart.
2. Start with the default settings.
3. Use the MLMA cloud and trend table to understand directional context.
4. Watch for buy/sell labels only when they align with trend, order block, and quality context.
5. Use order block boxes and retest markers to identify possible reaction zones.
6. Use TP/SL projections as planning references, not as automatic trade instructions.
7. Tune Primary Length, Secondary Length, Signal Mode, and Signal Quality settings for the instrument and timeframe you trade.
8. If using alerts or webhooks, test them on paper or in a private environment first.
### Practical Notes
- Lower lengths are more responsive but can produce more noise.
- Higher lengths are smoother but react later.
- Consensus mode is stricter than Independent mode.
- The Signal Quality Engine can remove many low-context signals.
- The Order Block module is most useful when combined with MLMA trend context.
- TP and SL levels are projections based on the selected method; they are not guarantees that price will reach those levels.
- Exhaustion markers are context warnings and should be confirmed with structure, trend, and volatility.
### Limitations
This indicator does not predict the future. It organizes market context using mathematical filters, kernel regression, volatility logic, order block heuristics, and signal-quality rules. It can still produce false signals, especially during news events, illiquid periods, low-volume sessions, strong trend exhaustion, sudden reversals, or choppy markets.
No indicator should be used alone. Traders should combine this tool with their own risk management, market understanding, and independent confirmation. Past chart behavior does not guarantee future results.
Indicator
Smart Trend Confirmation (STC)🚀 Introducing Smart Trend Confirmation (STC)
Tired of taking trades against the trend? The Smart Trend Confirmation (STC) indicator is designed to help traders identify high-probability setups by combining trend, momentum, and volume into one simple system.
🔍 How It Works
✅ Trend Filter (EMA 200)
- Price above the 200 EMA = Only look for Buy opportunities.
- Price below the 200 EMA = Only look for Sell opportunities.
✅ Pullback Detection (EMA 20)
Instead of chasing price, STC waits for a healthy pullback toward the 20 EMA before looking for an entry.
✅ Momentum Confirmation (RSI)
- RSI above 55 confirms bullish momentum.
- RSI below 45 confirms bearish momentum.
✅ Volume Confirmation
Signals are generated only when trading volume is above its average, helping filter out weak market moves.
✅ ATR-Based Risk Management
The indicator automatically calculates dynamic Stop Loss and Take Profit levels using ATR, adapting to current market volatility.
📈 Buy Conditions
• Price above the 200 EMA
• Pullback near the 20 EMA
• RSI above 55
• Volume above average
• Bullish candle closes
📉 Sell Conditions
• Price below the 200 EMA
• Pullback near the 20 EMA
• RSI below 45
• Volume above average
• Bearish candle closes
⭐ Key Features
✔ Trend-following strategy
✔ Non-repainting signals (generated after candle close)
✔ Dynamic Stop Loss & Take Profit
✔ Buy/Sell alerts
✔ Works on Forex, Crypto, Stocks, and Indices
Best Timeframes: 15M, 1H, and 4H.
⚠️ No indicator is 100% accurate. Always use proper risk management and combine signals with your own market analysis before entering a trade.
Indicator
Adaptive Momentum Exhaustion (AME)Adaptive Momentum Exhaustion (AME) is a trend-following indicator designed to identify high-probability continuation trades while filtering out weak and overextended price movements.
Unlike traditional momentum indicators, AME normalizes momentum using the Average True Range (ATR), making it adaptive to changing market volatility. It combines four key market factors:
- Momentum: Measures the strength of price movement relative to volatility.
- Trend: Uses the 20 EMA and 50 EMA to determine the prevailing market direction.
- Volume: Confirms that price movement is supported by above-average trading activity.
- Exhaustion: Uses RSI and Bollinger Bands to avoid entering trades after the market has become overbought or oversold.
A Buy signal is generated only when bullish momentum is strong, the market is in an uptrend, trading volume is above average, and price is not showing signs of exhaustion.
A Sell signal is generated only when bearish momentum is strong, the market is in a downtrend, trading volume is above average, and price is not showing signs of exhaustion.
The objective of AME is to reduce false signals, avoid late entries, and improve trade quality by waiting for strong, healthy trends instead of chasing exhausted price moves. It is best suited for trending markets and can be applied across stocks, forex, cryptocurrencies, and commodities on multiple timeframes.
Indicator
AUTOFIB KRIPTOBORSA TVAutoFib KriptoBorsa Tv is an advanced, dynamic Fibonacci channel indicator designed for trend followers. Instead of static lines, it creates breathing Fibonacci clouds that wrap around price action, helping you identify strong support, resistance, and breakout zones.
To eliminate market noise and fakeouts, this indicator uses a strict Triple-Confirmation System before generating any signals:
Trend Alignment (EMA 50): Price must be above the EMA 50 for BUYs, and below for SELLs.
Trend Confirmation (SuperTrend): Signal must align with the current SuperTrend direction.
Momentum (Volume): Breakouts must occur with above-average volume (Volume SMA 20).
Key Features:
Dynamic Fib Clouds: Visual, color-coded bands tracing highs and lows over a set period.
Clear BUY/SELL Signals: Prints labels on the chart only when all filters perfectly align.
Trend Zones: The chart background automatically colors light green (Uptrend) or red (Downtrend) based on the current market climate.
Fully Customizable: Adjust the channel period and toggle individual filters on/off in the settings.
Designed to keep you on the right side of the trend while protecting your capital from choppy, ranging markets.
Indicator
Market Structure + CHoCH/MSS/BOS | Xcelerate TradeMarket Structure + CHoCH / MSS / BOS | Xcelerate Trade
A precise market-structure mapper from the Xcelerate Trade team. It auto-detects swing highs / lows, classifies every break of structure as CHoCH (Change of Character), MSS (Market Structure Shift) or BOS (Break of Structure), and labels each pivot as HH / HL / LH / LL. Designed for SMC and price-action traders who want a clean, repaint-aware structural read of the chart.
What you get on the chart
Swing labels: HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low) — auto-placed on every detected pivot.
Break lines: every confirmed break is drawn as a horizontal segment from the swing bar to the breaking bar.
Break tags: each break line gets a label — CHoCH, MSS or BOS — so you can read structure at a glance.
Info table (top-right): current settings (Auto / Manual, TF, L/R, detection method, MSS definition, break validation) and an optional debug panel with trend state, flags, pre-CHoCH levels, last-break details.
Pattern alerts: ready-to-use alertcondition for HH-HL-HH and LL-LH-LL sequences.
Pivot detection — two modes
Williams Fractals (default): classic ta.pivothigh / ta.pivotlow with separate left and right lengths. Configurable in Manual Settings (defaults L = 6, R = 4) or selected automatically per timeframe via Auto Timeframe Settings:
Timeframe L / R
1m
4 / 4
5m
4 / 3
15m
5 / 4
30m+, daily, weekly, monthly
6 / 4
Simple Fractals: SMC-style, symmetric — current bar is a pivot if it's the highest / lowest within simpleFractalPeriod bars on each side. Faster but more frequent than Williams.
You can also force Wait for bar close (default ON) to confirm pivots only on closed bars.
Break validation — 4 modes
Choose how a level is considered "broken":
Close — close beyond the swing level (cleanest, default).
High/Low (wick) — wick beyond the level (most aggressive).
Close beyond buffer (ticks) — close beyond level ± N × mintick.
Close beyond buffer (%) — close beyond level ± X%.
Buffer fields appear conditionally so you can tune the strictness of structure breaks per instrument (forex, indices, crypto, etc.).
Structure classification — CHoCH / MSS / BOS
Trend state is tracked internally (Bullish, Bearish, Neutral). Every confirmed break is then classified:
CHoCH — first break that reverses the trend (bullish CHoCH on a close above the last swing high while bearish; bearish CHoCH on a close below the last swing low while bullish), or the very first break when the trend is still neutral. CHoCH flips the trend and starts a fresh leg.
MSS — first qualifying break in the direction of the new trend after CHoCH, per the MSS definition setting:
First break after CHoCH — any first break in trend direction = MSS, then BOS.
First break >= pre-CHoCH level — MSS only when the broken swing is at or beyond the swing level that existed before the CHoCH. Stricter — protects against premature MSS calls.
HL + >= pre-CHoCH (legacy) — same as above, plus a confirming HL (bull) / LH (bear) is required after CHoCH before MSS can fire.
BOS — every subsequent break in the trend direction after MSS — until the opposite CHoCH occurs and the cycle restarts.
This rule set keeps only one MSS per trend leg, with everything before it being CHoCH and everything after being BOS — exactly how SMC traders read it.
Pre-CHoCH levels (transparent reasoning)
When CHoCH fires, the script captures the swing-high / swing-low that existed before the trend flip (pre_choch_swing_high / pre_choch_swing_low). These are used by the stricter MSS modes and shown in the debug rows of the info table, so you can verify exactly why a break was classified as MSS or BOS.
Last broken swing tracking
For every confirmed break the indicator stores:
lastBreakSwingBarIndex — the bar where the broken swing originally formed (its ID).
lastBreakSwingPrice — the level that was broken.
lastBreakClassification — CHoCH / MSS / BOS.
lastBreakDirection — above swing high / below swing low.
lastBreakDetectBarIndex — the bar where the break passed your validation filter.
These are visible in the debug rows when Show debug rows (table) is on — useful for forensic / journal-style review.
Drawing budget (FIFO)
The indicator caps the number of CHoCH / MSS / BOS line + label pairs at Max CHoCH/MSS/BOS lines + labels (default 400, max ~80% of PulseWire's 500 limit). Older drawings are removed first (FIFO), so you never hit the line cap on long histories.
Alerts
Two ready-to-use alert conditions:
HH-HL-HH Alert — fires when an HH-HL-HH pattern completes.
LL-LH-LL Alert — fires when an LL-LH-LL pattern completes.
Use PulseWire's alert dialog → choose the alert condition by name. Messages include {{ticker}} and {{interval}} placeholders.
Suggested settings (from the Xcelerate Trade team)
Default for most traders: Auto settings ON, Williams Fractals, Wait for bar close ON, Break validation = Close, MSS definition = First break after CHoCH.
Strict structural read (low noise): Break validation = Close beyond buffer (%) with 0.05–0.10%, MSS definition = First break >= pre-CHoCH level.
Aggressive / fast feedback: Simple Fractals with period 2, Break validation = High/Low (wick), Wait for bar close = OFF.
Forensic review: turn ON Show debug rows (table) to see trend state, CHoCH / MSS flags, pre-CHoCH levels and the last-break summary.
Notes & disclaimers
Williams Fractals confirm with a delay equal to the right-length (R bars). This is intentional — pivots are not repainted after confirmation.
Simple Fractals confirm with a delay equal to simpleFractalPeriod bars.
This is an analytical tool — no automated buy / sell labels. Pair with your own execution rules.
Pine Script v6.
Built and maintained by the Xcelerate Trade team. A complete CHoCH / MSS / BOS market-structure read with HH / HL / LH / LL labels, four break-validation modes, three MSS definition modes, an info / debug table and ready alert conditions.
Indicator
EMA Ribbon Pro by DrAndreyСетка скользящих средних EMA с периодом от 20 до 55. Цвет меняется в зависимости от направления движения рынка. Для подтверждения тренда добавлены EMA 140 и 200.
Indicator
xKen-t Williams %R + EMA w/COT Bias GateWhat's original here
This isn't a Williams %R repaint. Standard %R gives a level; this script converts it into a filtered, context-aware timing engine through four combined mechanisms: (1) exit-from-extreme triggers that fire when %R crosses back out of −80/−20 rather than when it reaches them, so signals mark the reversal instead of the ongoing move; (2) EMA-side confirmation that validates the exit against the 13-EMA; (3) a −50 regime filter that blocks counter-regime signals; and (4) a directional-bias gate that normalizes any external series you feed it (e.g. a COT commercial-net line) to a 0–100 position-in-range index and suppresses every signal that disagrees with that bias. The gate is the core idea — it makes the oscillator time entries only in a separately chosen direction, turning a reversal oscillator into a with-context pullback tool. A status table surfaces %R, its EMA, the regime, the active bias, the higher-timeframe read, and the last signal in one place.
Overview
A Williams %R momentum tool rebuilt around three ideas: it signals on the exit from an extreme rather than the touch, confirms that exit with the %R/EMA relationship, and can gate every signal by an external directional bias (such as Commitments of Traders positioning) so only signals agreeing with that bias are shown. This targets the two classic Williams %R weaknesses — catching falling knives at the band, and firing endless counter-trend reversals during strong trends.
What it calculates
- Williams %R (default 21): the standard oscillator (0 to −100) measuring where the close sits within the lookback's high-low range.
- 13-EMA of %R: a smoothing/confirmation line.
- Triggers: in "Band exit" mode a long fires when %R crosses back up through −80 (leaving oversold) and a short when it crosses back down through −20 (leaving overbought). In "EMA cross in zone" mode the trigger is %R crossing its EMA while in the lower/upper half. Either way, it marks the turn, not the extreme reading itself.
- EMA confirmation (optional): requires %R on the trigger side of its EMA at signal time.
Regime filter (optional): longs only when the %R EMA is above the −50 midline, shorts only when below.
- COT Bias Gate: point the "COT source" input at any external series on the chart — e.g. a Commitments of Traders commercial-net or COT-index line. The script converts it to a 0–100 position-in-range index over a lookback; ≥80 is treated as bullish bias, ≤20 as bearish. With the gate on, longs show only in a bullish bias and shorts only in a bearish one; opposite-bias signals are suppressed. You can also set the bias manually or turn the gate off for standalone %R.
- Divergence (optional): regular bull/bear divergence between price pivots and %R pivots.
Higher-timeframe read (optional): shows a higher-timeframe %R value in the table for top-down context.
How to use it
1. Add it on your entry timeframe (defaults: %R 21, EMA 13, band-exit, EMA confirmation on).
2. Set the bias — manually (Bullish/Bearish), or "Auto" pointed at a COT/context line, or Off.
3. Trade the markers: green up-triangle = confirmed long trigger, red down-triangle = confirmed short. Combine with your own levels and risk management.
Notes and limitations
- Divergence markers are drawn back at the confirmed pivot using an offset — they plot in the past and can repaint until the pivot forms. Treat them as context, not a standalone trigger.
- The gate reads whatever series feeds the source input; on the default (Close) the "bias" is computed from price, not COT — point it at a real COT/context line for it to be meaningful.
- The higher-timeframe read uses non-lookahead requests (no future data).
- Analysis tool for timing within a chosen bias. It does not predict outcomes and is not financial advice.
Indicator
SOL 200W MA Valuation Bands (v6 stable)This indicator maps SOL’s long-term valuation using the weekly 200-period moving average as the core anchor. It highlights key zones such as Very Cheap, Cheap, Fair Value, Expensive, and Very Expensive, helping traders assess whether SOL is trading at a discount or premium relative to its long-term trend. Designed for crypto market cycles, this tool is especially useful for identifying major accumulation and euphoria phases, supporting macro-driven entries, and putting price action into a broader valuation context. The transparent background bands and optional zone labels make it easy to visualize market extremes at a glance.
Indicator
GOLD 200W MA Valuation Bands (v6 stable)A comprehensive valuation tool that visualizes GOLD price levels relative to its 200-week moving average. This indicator helps traders identify overbought and oversold conditions across six distinct valuation zones.
KEY FEATURES:
• 200-Week Moving Average – The baseline for long-term trend analysis
• Six Valuation Zones – Color-coded bands showing relative value levels
Fire Sale (Below MA)
Very Cheap (0-25% above MA)
Cheap (25-50% above MA)
Fair Value (50-75% above MA)
Expensive (75-100% above MA)
Very Expensive (100%+ above MA)
• Adjustable Transparency – Customize zone opacity for better chart visibility
• Zone Labels – Toggle on/off for cleaner charts
• Price Labels – Right-aligned labels displaying exact price levels
USE CASES:
• Identify cyclical buying and selling opportunities
• Gauge whether GOLD is historically overvalued or undervalued
• Support long-term trading and investment decisions
• Establish risk management levels based on valuation zones
Perfect for swing traders, position traders, and investors analyzing GOLD's long-term value dynamics.
Indicator
GreenStar ATR & Trend Strength ScreenerGreenStar ATR & Trend Strength Screener
Pine Screener filter script. No chart plots.
Sorting a watchlist often mixes three different checks:
1) Daily trend structure (Minervini-style template rules)
2) ATR-normalized stretch from the 50-day MA
3) Session pace and distance from the low
This script puts those in one scan. MM and xFrom50 come from a single daily data pull per symbol. RVAT and %from LoD run on the screener chart interval. Chg % and Chg Open % round out the daily bar.
Why one script
These seven columns are the ones I check every day before touching a name.
One script puts all seven on the same row. Daily columns share one request.security call to stay inside Pine Screener's five-call limit.
Columns
MM (0 to 8)
Minervini trend template score. One point per rule when true:
1) Close above 150 SMA and 200 SMA
2) 150 SMA above 200 SMA
3) 200 SMA rising vs 22 bars ago
4) 50 SMA above 150 and 200
5) Close above 50 SMA
6) At least 25% above 260-bar low
7) Within 25% of 260-bar high
8) Weighted price momentum composite above 70
Rule 8 uses a price-momentum composite, not an IBD RS rating.
xFrom50 (signed decimal)
Extension from the 50-day SMA in ATR multiples:
% gain from 50 SMA = (close - 50 SMA) / 50 SMA x 100
ATR % = 14-day ATR / close x 100
xFrom50 = % gain / ATR %
Positive = above the MA. Negative = below.
ATR %
14-day ATR as percent of price. Denominator for xFrom50; also useful on its own for quiet vs volatile names.
RVAT
Relative Volume at Time (10 sessions, daily anchor). 1.0 = average pace for this clock time. Needs a 5-minute screener interval for intraday session math.
%from LoD (integer)
(close - session low) / 14-day ATR x 100
0.6 ATR above the low prints as 60. Filter less than 60 to stay near the low.
Chg % : change vs prior daily close (forming bar on intraday runs).
Chg Open % : change from today's open to current price.
Pine Screener setup
1. Favorite the script in Indicators (required for the screener picker).
2. Open Pine Screener, pick a watchlist.
3. Add this script as a filter source.
4. Set interval to 5 minutes for RVAT and %from LoD.
5. Enable columns in the column picker, then sort or filter.
Only columns from added filter scripts appear. Built-in screener filters cannot run in the same pass.
When publishing, use a clean chart with no other scripts on it. This script will not show plots on the chart.
Limitations
No visible plots on a normal chart. RVAT and %from LoD need a 5-minute screener interval and an active session. Built-in screener filters cannot run in the same pass. Daily columns follow the forming daily bar on intraday runs.
Filter examples
MM ≥ 6
xFrom50 between 2 and 6
ATR % between 4 and 10
RVAT > 1.2
%from LoD < 60
Daily columns use the forming daily bar on intraday runs (lookahead_off, no repainting). If a column is missing, check the column picker first.
Credits
MM column: eight trend-template criteria adapted from Minervini Trend Template by yogy.frestarahmawan (Mozilla Public License 2.0).
RVAT: PulseWire ta.relativeVolume built-in library.
Disclaimer
Screening tool only. Not a signal, not financial advice. No entry or exit triggers. Past scan results do not predict future price action.
Indicator
GreenStar ATR% Extension MonitorGreenStar ATR% Extension Monitor
The GreenStar ATR% Extension Monitor answers two questions in one window:
1) How volatile is the name? (14-period ATR as a percent of price)
2) How far has price stretched from a moving average, in relation to historical data?
Some names routinely stretch to 10-12x before mean-reverting. Others rarely clear 5x.
Scroll back on a daily chart to see extension habits for that symbol.
Why extension matters
Dollar distance from a 50-day MA does not compare a $15 name to a $400 name.
Dividing percent gain from the MA by ATR% provides a multiple of normal daily range.
That is the blue xFromMA line.
The green ATR% stepline shows the denominator: typical range relative to price.
These are separate formulas on the same pane and timeline to show correlation.
(It does not draw on the price chart.)
Two plots with independent calculations
ATR% (green stepline): 14-period ATR as a percent of price. Typical daily range relative to price level.
xFromMA (blue line): how many ATR% units price sits above or below the MA.
ATR% = ATR(14) / close x 100
xFromMA = ((close - MA) / MA x 100) / ATR%
Zero on xFromMA means price is at the MA.
A negative value indicates price is currently below the MA level.
Reading the pane
Both lines declining together often means the name is compressing toward the MA. Volatility and stretch easing at the same time.
Both rising means it's expanding.
Diverging slopes happen too.
xFromMA climbing while ATR% falls can mean price drifting from the MA while day-to-day volatility cools.
Read each line first, then note whether they agree.
Note: The lines share a pane for context, not because they combine into a signal.
A green/blue touch or cross is not a buy or sell event.
Visible-range markers (optional)
High, low, and mean for xFromMA are calculated from the visible bars on the chart.
There is no fixed lookback period.
They update on scroll or zoom, comparing current stretch to recent visible history.
The mean is the average xFromMA over those visible bars, not the midpoint between high and low.
Visible-range mean requires high/low lines enabled in the same settings group.
Optional zero line (dotted): xFromMA = 0, full width of the pane.
ATR% high/low bands exist too, off by default.
Settings
MA period (default 50)
MA type (default SMA)
ATR period (default 14)
Line colors and widths (default: dark green ATR%, blue xFromMA)
Zero line (default on)
High/low bands, xFromMA (default on)
Visible-range mean (default on)
ATR% high/low bands (default off)
Disclaimer
Context tool only. Not a signal, not financial advice. No entry or exit triggers. Past extension habits do not predict future price action.
Indicator
Moving Average Standard Deviation | NickJoanMoving Average Standard Deviation is a trend-following indicator built around a moving average and dynamic standard deviation bands. It identifies bullish and bearish conditions by comparing price against adaptive upper and lower bounds.
How it works
A moving average is calculated using the selected MA type and length.
Standard deviation is applied to the moving average to create adaptive upper and lower bounds.
When price closes above the upper bound, the script switches to bullish state.
When price closes below the lower bound, the script switches to bearish state.
If neither condition is met, the current state remains unchanged.
Visual output
The moving average is plotted directly on the chart.
Upper and lower bounds define the current volatility range.
Candle colors change according to the active bullish or bearish state.
Alerts
Long Signal triggers when the state turns bullish.
Short Signal triggers when the state turns bearish.
Indicator
Multi Talent Tool ProThis Multi Talent Tool Pro
Is a comprehensive, all-in-one PulseWire indicator designed to streamline your technical analysis by centralizing three critical trading components into one clean, professional interface.
Key Features
Multi-EMA Suite: Includes eight customizable Exponential Moving Averages (9, 15, 20, 25, 50, 100, 200, 400). You can toggle each one on/off, change colors, and adjust line thickness directly from the settings.
Higher Timeframe (HTF) Dashboard: Provides a "Heads-Up" view of market structure by drawing the last three candles of a higher timeframe directly onto your current chart. It features a smart-tinted background that changes color based on the HTF trend (Bullish vs. Bearish) and includes a live countdown timer until the next HTF candle closes.
Automated Pattern Recognition: Identifies high-probability reversal and indecision signals, specifically Bullish/Inverted Hammers, Dojis, and Engulfing Patterns. These are plotted as clean, professional labels directly on the chart for quick visual reference.
Server-Side Alerts: Every feature is alert-enabled. You can set custom triggers for EMA crossovers, pattern detection, and HTF candle closures, ensuring you never miss a trade setup even when you aren't looking at the screen.
Why It's a "Pro" Tool
Instead of cluttering your chart with multiple indicators, this tool uses garbage collection logic to ensure your screen remains clean. The HTF drawings and pattern labels are calculated to be unobtrusive, allowing you to maintain focus on your primary trading strategy while having all necessary context at your fingertips.
Quick Setup Guide
Right Margin: For the HTF candles to display clearly, right-click your price scale > Settings > Canvas > set your Right Margin to 25 or more.
Alerts: Access these by clicking the clock icon on the right sidebar. Select Multi Talent Tool Pro as the condition, and choose your preferred signal from the dropdown list.
This tool is optimized for traders who demand high-level situational awareness without the distraction of a "busy" chart.
Indicator
Smart Ichimoku | GainzAlgoOverview
Most Ichimoku indicators give you the same signal everyone else gets, a raw cloud cross with no filter, no context, and no target. This indicator rethinks the system from the ground up by combining a smoothed Ichimoku cloud with an inline logistic regression classifier that scores every cloud break in real time, then projects statistically-derived price targets the moment a confirmed signal fires.
The result is a cleaner, higher conviction version of one of the most respected trend frameworks in technical analysis.
The Foundation: Why Smooth the Ichimoku?
Traditional Ichimoku uses simple high-low midpoints (Donchian midlines) for its Tenkan, Kijun, and Senkou components. This makes the cloud visually choppy and prone to false crosses on noisy, volatile instruments like crypto or high-beta equities.
This indicator replaces all three components with Hull Moving Averages (HMA), which are designed to be simultaneously smooth and responsive, reducing lag without the whipsaw of standard smoothing. The cloud body itself becomes cleaner, the baseline is less noisy, and the cross events that trigger signals are more structurally meaningful.
All default periods match classic Ichimoku settings (9 / 26 / 52 / 26 displacement) so the logic stays true to the original system, it's just rendered with better math underneath.
The Signal: Logistic Regression Cloud Break Classifier
Here's where this indicator separates itself. A cloud cross alone is not a signal, it's a candidate. What actually matters is whether the market conditions at the moment of the cross are consistent with a real, sustained breakout or breakdown.
The classifier answers that question with a probability score.
How it works
At the exact bar where price exits the cloud body, four normalized features are computed and fed into a logistic regression model:
1. RSI (centered at 50, scaled by 25)
Measures momentum. On a bearish break, is RSI already extended to the downside? On a bullish break, is it pointing up? RSI near 50 adds little conviction; RSI at 30 on a bear break adds a lot.
2. Stochastic Oscillator (centered at 50, scaled by 25)
Short-term overbought/oversold confirmation. Works similarly to RSI but captures faster-cycle momentum, giving the model a second read on the same question.
3. Z-Score (price vs 20-bar mean, normalized by standard deviation)
Measures how statistically extended price is relative to recent history. A cloud break accompanied by a Z-Score of -2 is much more meaningful than one at Z = -0.2. This feature effectively asks: "Is this break happening from an already-stretched position?"
4. Cloud Break Depth (normalized by ATR)
How far did price close through the cloud boundary, relative to recent volatility? A close that barely clips the edge is very different from one that punches through by a full ATR. This is the most direct measure of breakout conviction.
The Math
Each feature is multiplied by a weight and summed into a single score (z). That score is passed through the sigmoid function:
P = 1 / (1 + e^(-z))
This compresses the output to a probability between 0 and 1. If the probability clears the threshold (default 0.60), the break is confirmed and a signal fires. Below threshold, the cross is rejected — instead of being ignored, it's labeled with a risk tier so you can see exactly how close (or far) it came to confirming.
The probability score is displayed as a small percentage label directly on the signal bar so you always know how strong the classifier rated that particular break.
Self-Calibrating Weights — No Manual Tuning
Unlike a typical multi-feature model, none of the four weights are set by hand. Each one is derived automatically from that feature's own rolling correlation with next-bar returns, recalculated continuously over a user-set lookback window (the "Self-Calibration Window," default 100 bars).
In practice this means: if RSI has been a genuinely useful predictor of direction on this instrument and timeframe recently, its weight rises on its own. If Z-Score has been mostly noise in the current regime, its weight shrinks toward zero — automatically, without anyone touching a slider.
This was a deliberate design choice. Letting people hand-tune regression weights invites a lot of well-intentioned guesswork that usually overfits to a handful of recent candles. By having the model score its own features based on demonstrated, rolling predictive power, the classifier adapts to changing market conditions instead of running on opinions baked in at setup time.
Rejected Crosses: Risk-Tiered Labels
Not every cloud cross clears the threshold, and that's the point. Rather than silently discarding rejected crosses, this indicator labels every one of them with a risk tier so you know exactly what the model saw and how close it came to confirming:
Low Risk: Probability fell just short of the threshold (within 10 points below). A near-miss — the break had real conviction behind it, it simply didn't clear the bar.
Moderate Risk: Probability landed meaningfully below threshold (10–25 points). A weaker break with mixed signals underneath it.
High Risk: Probability came in far below threshold (25+ points). A break with little to no underlying conviction — most consistent with chop or noise.
Each label shows its tier and the actual probability (e.g. "Low Risk ▼ 54%"), so nothing is a black box. A cluster of Low/Moderate Risk labels in one zone often signals a contested area that's likely to resolve into a real breakout once it's worked through — useful context even though no trade signal fired. These labels can be toggled off entirely in settings if you'd rather only see confirmed signals.
The Targets: Mean, Median, Mode
Once a confirmed break fires, three dashed horizontal target lines project from the signal bar. These are not arbitrary multiples, they are derived from the actual statistical distribution of bar-to-bar price moves over the lookback window.
Mean (Yellow): The average absolute bar move over the lookback period, scaled by the target multiplier. This is the "expected" target under normal conditions.
Median (Cyan): The 50th percentile of historical moves. Because move distributions are right-skewed (a few large moves pull the mean up), the median is typically more conservative than the mean and often a more realistic first target.
Mode (Hot Pink): The most frequently occurring move size, derived by bucketing historical moves into ATR-width bins and finding the most populated bin. This represents what the market most commonly does — not what it averages, not the middle value, but the single most likely outcome based on observed frequency.
Together, the three targets give you a realistic range rather than a single arbitrary level — grounded in what this instrument has actually done over the recent past. Bull and bear target sets are tracked independently, so a new bearish break won't erase an active bullish target set still in play, and vice versa.
The Target Multiplier (default 3×) scales all three targets proportionally. Lower it for tighter, shorter-term targets; raise it for swing trades or higher-volatility instruments.
Reading the Chart
Green triangle (▲) below bar: Confirmed bullish cloud break. Price has exited the top of the cloud with sufficient classifier probability. Three upward target lines appear.
Pink triangle (▼) above bar: Confirmed bearish cloud break. Price has exited the bottom of the cloud with sufficient classifier probability. Three downward target lines appear.
Percentage label: The LR probability score for that break (e.g. "73%"). Higher is stronger.
Risk-tiered label (amber/orange/red): A cloud cross that was rejected, with its tier and probability shown.
Yellow dashed line: Mean target
Cyan dashed line: Median target
Hot pink dashed line: Mode target (thicker, as it represents the highest-frequency outcome)
Settings Guide
Smooth Ichimoku
Tenkan / Kijun / Senkou Period: Standard Ichimoku periods. Default 9/26/52 follows the classic system. Shorter periods = more sensitive, more signals. Longer = slower, fewer but stronger signals.
Displacement: How far forward the cloud is projected. Default 26.
Break Classifier
Self-Calibration Window: How many past bars the model uses to learn each feature's weight from its recent correlation with price moves. Shorter windows adapt faster to regime changes but can be noisier; longer windows are more stable but slower to react. Default 100.
Break Probability Threshold: The minimum probability required to confirm a signal. Default 0.60. Raise toward 0.75+ for fewer, higher-conviction signals. Lower toward 0.50 to see more cloud breaks confirmed (effectively turns the filter off at 0.50).
Targets
Lookback (bars): How many bars of historical move data to use for the distribution calculation. Default 60. Longer lookback = more stable targets based on longer-term behavior. Shorter = more reactive to recent volatility.
Target Multiplier: Scales all three target lines proportionally from the signal close. Default 3×. Adjust based on your timeframe and typical holding period.
Risk Labels
Show Risk Labels on Rejected Crosses: Toggles the Low/Moderate/High Risk labels on rejected cloud crosses. Off by default for a cleaner chart; turn on to see every cross the model evaluated, not just the confirmed ones.
How to Use It
As a trend confirmation tool: Use the cloud direction (cyan dominant = bullish structure, pink dominant = bearish) as your bias filter, and only trade signals that align with the cloud color. Bull signals below a cyan cloud, bear signals above a pink cloud.
As a breakout entry trigger: Wait for price to consolidate inside or near the cloud, then take the confirmed break as an entry signal. The probability label tells you how much conviction the model has at that moment.
Using rejected crosses as context: A string of Low Risk labels in a zone suggests the cloud is being tested seriously without quite breaking — often a precursor to a real move once the level finally gives.
For target setting: Use the median as a conservative first target, the mean as a mid-range objective, and the mode as a guide to where the most "normal" move tends to land. The hot pink mode line is often the most useful for setting realistic profit expectations.
For alerts — Four alert conditions are built in: "Confirmed Bull Break," "Confirmed Bear Break," "Rejected Bull Cross," and "Rejected Bear Cross." Set them on your preferred timeframe and let the classifier notify you rather than watching the chart.
Timeframe Notes
This indicator works across all timeframes but behaves differently depending on context:
1H–4H: Good balance of signal frequency and reliability. Recommended starting point.
Daily: Fewer signals, higher structural significance. Best for swing traders.
15m and below: More signals, more noise. Consider raising the threshold to 0.65–0.70 and reducing the lookback to 30. Watch the risk-tiered labels here in particular — they're most useful for filtering chop on fast timeframes.
Example on the Daily with SPY ETF:
Example on the 4 Hour with BTCUSD;
Example on the 15 Minute with QQQ:
A Note on the Model
The logistic regression here is not trained on historical data in the machine learning sense, and it no longer relies on manually-set weights either. Each feature's weight is derived from its own rolling correlation with subsequent price action, recalculated continuously. Think of it less as a black-box ML model and more as a structured, self-adjusting way to combine four momentum and positioning indicators into a single probability score, similar to our Directional Logistic Oscillator.
The advantage over a traditional multi-condition filter (RSI < 40 AND stoch < 30 AND...) is that the sigmoid function produces a continuous probability rather than a binary pass/fail, which means the model degrades gracefully, a break with three strong features and one neutral one still scores well, rather than getting blocked by an arbitrary threshold on the weak feature. And because every rejected cross is shown with its tier and score rather than discarded silently, nothing the model does is hidden from you.
We hope you enjoy!
Indicator
Indicator
The 50 SMA Strategy ChecklistThe 50SMA Strategy Checklist
A minimal checklist for the 50 SMA setup.
It is a clean visual filter for traders who want a fast read on whether a stock aligns with the basic structure of the 50 SMA setup.
It shows four conditions: strong volume, price above the daily 50 SMA, a green daily candle, and a green weekly candle. Green means the condition is met; red means it is not.
I hope this indicator helps you simplify your process and quickly identify stocks that match your 50 SMA checklist.
Indicator
DCC-GoldDCC-Diamonds Indicator Description
Overview:
The DCC-Diamonds is a comprehensive multi-indicator trading indicator that combines several technical analysis tools to generate high-confidence trading signals. The name "DCC" likely stands for "Diamonds, Candles, and Confirmation" - reflecting its three core components.
Indicator
STRYK Market BiasMulti-timeframe EMA-alignment dashboard: short-term, long-term, and overall bias boxes, plus an optional two-line color band.
# STRYK Market Bias
A multi-timeframe EMA-alignment dashboard. It reads one moving average across several timeframes at once and summarizes how those timeframes line up into two composite readings — a short-term read and a long-term read — plus a combined overall read. It can also draw a two-line band on the chart. This is a descriptive context tool for discretionary analysis. It does not generate buy or sell signals.
## What it does
For each of several timeframes, it checks whether price is above or below that timeframe's EMA. Above reads bull, below reads bear. Those individual reads are combined into a weighted score for each group and shown as simple BULL / BEAR / NEUTRAL boxes, so you can see multi-timeframe alignment at a glance instead of loading the same moving average on seven separate charts.
## How it works
**One EMA, many timeframes.** A single EMA length (default 233) is applied to each timeframe: fast frames (5m / 15m / 30m, with an optional 1m) and slow frames (1h / 2h / 4h). All higher-timeframe values are taken from the last closed bar by default, so they do not repaint.
**Each frame votes.** Price above its EMA = +1 (bull), below = −1 (bear).
**Two composites, weighted differently on purpose:**
- **Short-term** emphasizes *freshness*. A fast frame that has just flipped receives a temporary extra weight that decays back to normal over a set number of bars, so recent changes on the fast frames carry more emphasis than stale ones.
- **Long-term** emphasizes *persistence*. The longer a slow frame has held its side, the more its vote weighs (up to a cap), so a slow frame that has stayed on one side for a long time carries more of the read.
Each group's score runs from −100 to +100 and is mapped to BULL / BEAR / NEUTRAL with an adjustable threshold. The **Overall** box is a blend of the two (default 60% long-term / 40% short-term, adjustable). A **fresh flag** lights when a fast frame flips within the fresh window in the same direction as the short-term read.
**Per-frame grid (optional).** Expand it to see every timeframe's own arrow and its own bars-since-flip, so you can tell which timeframe is driving or breaking the score.
## The band (optional)
Pick any two timeframes (default 1m and 4h). The EMA of each is drawn as a line and the area between them is filled. The band and lines are colored by where price sits relative to the two lines: above both, between them, or below both. A **fade** option holds the current color until price stays in a new zone for a set number of bars, so a brief poke into the band does not immediately change the color.
## How to use it
Treat it as context, not instructions. When all the boxes agree and sit at their extremes, the timeframes are simply aligned. The more informative moments are when the short-term and long-term reads diverge, or when a fresh flip appears against the current read. Use the per-frame grid to see exactly which timeframe is responsible.
Everything is adjustable: the EMA length and source, which timeframes are used, the weighting mode per group, the fresh and persistence settings, the threshold and overall blend, and the band and its colors, transparency and fade.
## Notes
- With non-repaint on (default), higher-timeframe reads are delayed by one bar of that timeframe in exchange for values that do not change after the fact. Turn it off for live intrabar values, which repaint.
- Timeframes smaller than your chart timeframe are sampled at chart resolution.
- Alerts are provided for short-term, long-term, and overall state changes.
## Disclaimer
This script is for informational and educational purposes only. It does not produce buy or sell signals and makes no claim about future results. Do your own analysis and manage your own risk.
Indicator
