TEWMA - [JTCAPITAL]Triple Exponential Weighted Moving Average is a modified way to use Weighted Triple Moving Averages for Trend-Following
The indicator works by calculating in the following steps:
1. The length gets multiplied by the multi to get the second length.
2. The Triple Exponential Moving Average gets calculated using the Weighted Moving Average as input.
3. This calculation is done over the first and the second length.
4. The average from both calculations is taken and used for buy and sell conditions.
--Buy and sell conditions--
-The buy and sell conditions are defined by the average of both indicators having a higher value than the previous bar.
-Average higher than the previous average = Long
-Average lower than the previous average = Short
--Features and Parameters--
-Allows the usage of different sources
-Allows the changing of the calculation length
-Allows the changing of the multiplier to determine the second length
-Allows the use of alerts for signal changes
--Details--
This script uses the result of the calculation of the Weighted Moving Averages as inputs for the Triple Moving averages. The usage of 2 separate calculations and using the average of them for trend determination is to allow for faster entries and exits while limiting potential false signals.
Enjoy!
อินดิเคเตอร์และกลยุทธ์
SMC by Falcon TraderInvite-Only Script
Focuses on BOS & CHoCH.
Entries confirmed by 2 consecutive Engulfing candles.
Recommended on 15m+ timeframes.
⚠️ For educational purposes only. Use proper risk management
Crypto Futures II [XAYA]Crypto Futures Indicator, by XAYA.
PART 2.
Crypto Futures Indicator it's a full build-in strategy used to trade top 200 Crypto Tokens from, in any Time Frame from 1H to 1D. The full strategy uses 5 separated indicators:
- Price Action
- 2 EMAS, 10 and 55
- Volume
- Squeeze Momentum
- ADX
PART 2 of Crypto Futures Indicator plots the Squeeze Momentum Indicator in conyunction with ADX+ Levels, to find better entry points based on TIME (squeeze momentum) and STRENGHT (ADX). Used in confluence with Crypto Futures Indicator PART 1, can unleash the reading for a full strategy based on the 5 indicators previously mentioned.
XAYA 2025
SLefebvre The Trading DeskGUS Stats
Double Top Stats and lines
Open price
Gap info
Double Top bottom alert
ORB Breakout Traffic Signal (5/15/30)ORB Breakout Traffic Signal (5/15/30)
This indicator visualizes Opening Range Breakouts (ORB) for the first 5, 15, and 30 minutes of the US regular trading session (09:30–16:00 ET).
It provides a compact, easy-to-read traffic signal table on your chart to show whether price is breaking out, breaking down, or consolidating inside the range.
🔑 Features
Auto-anchors at 09:30 ET (converted to your local time automatically).
Tracks ORB High/Low for:
5-minute window (09:30–09:34)
15-minute window (09:30–09:44)
30-minute window (09:30–09:59)
Displays results in a compact table:
↑ (green) → price has broken above the ORB high
↓ (red) → price has broken below the ORB low
• (gray) → price remains inside the ORB range (optional; can be disabled)
Customizable:
Toggle which ORBs to show (5m, 15m, 30m)
Choose table position (top/bottom left/right)
Adjustable text size
Option to plot the ORB High/Low lines on your chart
📌 Usage
Designed for intraday traders watching US equities/ETFs/futures.
Works best on 1-minute or 5-minute charts with Extended Hours turned OFF (so the session starts exactly at 09:30 ET).
Helps you quickly spot early breakouts (5m), mid-session trends (15m), or confirmed directional moves (30m).
⚠️ Notes
Signals only update during the RTH session
Outside market hours, the last locked ORB and signal remain displayed until the next open.
This tool is for analysis/visualization only; not a buy/sell signal. Always combine with your own trading strategy and risk management.
👉 Perfect for traders who want a quick visual confirmation of whether price is breaking out of the opening range or stuck inside it.
Crypto Futures I [XAYA]Crypto Futures Indicator, by XAYA.
PART 1.
Crypto Futures Indicator it's a full build-in strategy used to trade top 200 Crypto Tokens from, in any Time Frame from 1H to 1D. The full strategy uses 5 separated indicators:
- Price Action
- 2 EMAS, 10 and 55
- Volume
- Squeeze Momentum
- ADX
PART 1 of Crypto Futures Indicator plots 2 EMAs (10 and 55) and an horizontal line at the cross of them, to use as areas of future interest. This cross lines that are named "Chris Cross" in honor to my mentor, come in 2 variations:
- Dashed line indicates a cross of EMAS in the present Time Frame.
- Solid line indicates a cross of EMAs in the Higher Time Frame above the present TF.
"Chris Cross" lines are hidden by default since are not needed to execute strategy, but they are good areas or Support and Resistence that can be use in confluence with the rest of the strategy as Buy or Sell points.
XAYA 2025
Stock Scoring SystemThe EMA Scoring System is designed to help traders quickly assess market trend strength and decide portfolio allocation. It compares price vs. key EMAs (21, 50, 100) and also checks the relative strength between EMAs. Based on these conditions, it assigns a score (-6 to +6) and a corresponding allocation percentage.
+6 Score = 100% allocation (strong bullish trend)
-6 Score = 10% allocation (strong bearish trend)
Scores in between represent intermediate trend strength.
📌 Key Features
✅ Scoring Model: Evaluates price vs. EMA alignment and EMA cross relationships.
✅ Allocation % Display: Converts score into suggested portfolio allocation.
✅ Background Highlighting: Green shades for bullish conditions, red shades for bearish.
✅ Customizable Table Position: Choose between Top Right, Top Center, Bottom Right, or Bottom Center.
✅ Toggleable EMAs: Show/Hide 21 EMA, 50 EMA, and 100 EMA directly from indicator settings.
✅ Simple & Intuitive: One glance at the chart tells you trend strength and suggested allocation.
📈 How It Works
Score Calculation:
Price above an EMA = +1, below = -1
Faster EMA above slower EMA = +1, else -1
Maximum score = +6, minimum = -6
Allocation Mapping:
+6 → 100% allocation
+4 to +5 → 100% allocation
+2 to +3 → 75% allocation
0 to +1 → 50% allocation
-1 to -2 → 30% allocation
-3 to -4 → 20% allocation
-5 to -6 → 10% allocation
Visual Output:
Table shows SCORE + Allocation %
Background color shifts with score (green for bullish, red for bearish)
⚠️ Disclaimer
This indicator is for educational purposes only. It does not constitute financial advice. Always backtest and combine with your own analysis before making trading decisions.
Decision Matrix [Cnagda] — Adaptive Multi-Signal Trading SystemDecision Matrix is a cutting-edge trading ecosystem that leverages the synergy of price action, volume dynamics, and key momentum indicators to create a powerful, real-time signal engine for traders.
Key Features:
Multi-Source Signal Fusion: Buy/Sell Power score, TWAP patterns, EMA/RSI crossovers, Volume zones — 7 layers of confirmation per candle.
Adaptive Intelligence: Dynamic lookback window, label-size, and threshold are auto-adjusted based on market volatility.
Volume Secrets Decoded: Adaptive ‘Low Volume’ (LV) candle detection reveals reversal and hidden accumulation patterns.
Order Block Auto-Zoning: Detect Demand & Supply zones to highlight boxes on the chart — market structure is instantly clear.
Heikin-Ashi Inspired Trend Mapping: Candle coloring based on trend intensity — clear visual feedback on every phase of a security.
Intelligent Pattern Recognition: 4-candle TWAP & Volume structures help to quickly spot rare reversals and momentum shifts.
Live Dashboard: Live Buy/Sell power on the chart, long/short trigger levels, multiple timeframes support — decision making lightning fast!
Use Cases:
Quick Reversal Detection
Momentum Entry/Exit Confirmation
False Breakout Filtering
Volume-Driven Structural Insights
Trailing Stop Placement based on True Demand/Supply Zones
What difference will it make?
Decision Matrix analyzes every uncertain market move from a multi-angle perspective to show where the market bias is right now, where is the best entry, when is the exit alert — and what is the real volume game behind every trend or even the most subtle reversal move — in just one glance!
Every curated visual & signal will give you pure information clarity and high-confidence trading advantage.
20 EMA Slope ConfirmationWhat This Script Does:
- Calculates the current 20 EMA.
- Computes the average of the previous 20 EMAs, excluding today.
- Flags when today’s EMA is greater than the average → bullish slope.
- Highlights the chart background and adds a triangle for visual cue.
Multi-Timeframe Trend Table By HarryTradingView table that shows live trend status (Bullish/Bearish) across multiple timeframes: Monthly, Weekly, Daily, 4H, 1H.
MA Ribbon ExtendedCombines multiple moving averages (SMA, EMA, WMA, ALMA, HMA, DEMA, TEMA, SMMA, KAMA, FRAMA, McGinley) and VWAP ±σ bands into one indicator. The indicator is fully customizable based on type, period length, timeframe, visibility, and color settings.
Niveles Anuales +-5% con PreciosNiveles calculados de % de precios según el precio de apertura anual
Trend Following S/R Fibonacci StrategyTrend Following S/R Fibonacci Strategy
Trend Following S/R Fibonacci Strategy
PTM System v1.6 (Final)The PTM System Version 1.6 (Final)
Updated on 6 Sep 2025
Many Filters included Price, Trend, Momentum, Sideway, Cooldown, and Extended Candle.
Volume + RSI & MA Differential"Volume + RSI & MA Differential," integrates volume, RSI, and moving average differentials to generate trading signals. The script calculates a 14-period RSI to identify overbought or oversold conditions, with customizable thresholds for buy and sell signals. It also computes a 20-period SMA of the volume to smooth out trading activity data, helping to identify trends in market participation.
The script incorporates a fast (50-period) and a slow (200-period) SMA to analyze short-term and long-term trends, respectively. The differential between these moving averages, adjusted by the volume SMA, is used to identify potential trend changes or confirmations. Bars are colored yellow when the RSI is below the buy threshold and volume is high, indicating a potential buy signal. Conversely, bars turn red when the RSI is above the sell threshold and the fast MA is below the current close price, suggesting a potential sell signal. Neutral conditions result in grey bars.
Additionally, the script uses color-coding to plot the volume SMA and a line that changes color based on the moving average differential. A black line indicates a broadening MA cloud and a bullish trend, while a grey line suggests a narrowing MA cloud and a potential selloff. A yellow line signals the beginning of a buyback. This visual representation helps traders quickly identify potential trading opportunities and trend changes, making the script a valuable tool for technical analysis.
Simple Volume Analyzer..This is a simple yet powerful volume indicator that colors volume bars based on whether they are above or below a moving average. Useful for identifying breakouts and low-volume zones.
Wahrscheinlichkeits-OszillatorWhat the Indicator Measures (Short Version)
The indicator measures, over several different time windows (eight different historyLength values), the probability that the current indicator value (here, a 14-period SMA of the closing price) is higher than past values in that window.
These probabilities (named prob1 … prob8) are expressed as percentages (0–100). The arithmetic mean of these eight percentages is avgLine. Additionally, there are smoothings (SMMA) and a baseline (SMA of avgLine), similar to Bollinger Bands.
Step-by-Step: How the Values Are Calculated
Source:
sma_val = ta.sma(close, 14) → This is the 14-period simple moving average of the closing price. This smoothed price is used as the "current comparison value" (instead of raw close) to reduce noise.
Historical Array & Counting (Function calculateProbability)
For each probX, the function maintains an array of the most recently stored current values (up to historicalLength entries).
For the current sma_val, it counts how many entries in the historical array are smaller than current.
Then this number is divided by the total number of historical entries → result is a decimal between 0 and 1.
Multiplying by 100 gives probX in percent.
Mathematical (Pseudo):
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prob = (1 / total) * sum_{i=0}^{total-1} [ current > historical ] * 100
→ This is equivalent to the empirical percentile/rank position of the current value within the history.
Eight Windows / Ensemble:
prob1 … prob8 are calculated with different historyLength values (400, 350, 175, 130, 83, 42, 21, 15).
Longer windows measure “long-term” trend strength; shorter windows measure short-term relative strength/momentum.
avgLine:
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avgLine = (prob1 + ... + prob8) / 8
→ Ensemble average of all eight percentiles. Useful for smoothing extreme values from individual windows.
Smoothing (SMMA):
SMMA on prob1 and SMMA1 on avgLine reduce short-term fluctuations and make signals more stable.
Baseline & “Bands”:
Finally, basis = ta.sma(avgLine, length) and dev = mult * ta.stdev(avgLine, length) are calculated — this is exactly the baseline + band logic of a Bollinger-style representation, applied to avgLine.
Why It’s Meaningful
Percentiles/ranks are robust to scale changes. Instead of absolute price differences, the indicator answers: “Is the current (smoothed) price higher than usual over the last N periods?”
The ensemble of multiple window lengths captures different market regimes: short windows react quickly to momentum, long windows provide context and reduce false signals.
Smoothing (SMA/SMMA) reduces noise, making signals less sensitive to intraday jitter.
Interpretation: When Is the Market “Overheated” / “Not Overheated”?
High values (e.g., avgLine ≈ 80–100 or individual probX > 90):
The current SMA is higher than almost all previous values in the considered window → strong bullish dominance. This can indicate a strong rally (momentum), but also potential overbought conditions, especially if:
Volume growth is slowing, or
avgLine has remained very high for several periods (overextension).
Low values (e.g., avgLine ≈ 0–20):
The current SMA is below most of the historical values → market is under pressure or potentially oversold. Short-term reversal/recovery opportunities are more likely, especially if multiple windows are simultaneously low.
Values around ~50: Neutral — the current value is typical, in the middle of its historical distribution.
Concrete Rule (Your Specification): Buy / Sell
Buy Signal: When all eight lines (prob1 … prob8) are below lowerLine (e.g., lowerLine = 20).
→ Meaning: In all short- to long-term windows, the current SMA is below most historical values → strong, broadly confirmed undervaluation signal (potential rebound or end of correction).
Recommendation: Strong convergent long signal, especially if accompanied by volume increase or support confirmation.
Sell Signal: When all eight lines are above upperLine (e.g., upperLine = 90).
→ Meaning: In all windows, the current SMA is higher than almost all historical values → broadly confirmed overbought / overheating.
Recommendation: Strong convergent short/take-profit signal, especially if coinciding with divergences, weakening volume, or resistance areas.
Important Limitations & Risks (Pay Attention!)
Trend vs. Mean-Reversion: In a strong trend, all windows can stay high for a long time (trend continuation risk). An “all below lower → buy” signal can continue to fall in a strong downtrend → use stop-loss and trend filter (higher TF).
Historical Length & Sampling: Chosen historyLength values determine sensitivity. Very long windows make the indicator slower; very short windows increase noise.
Statistical Stationarity: Percentile signals assume the distribution remains comparable — in crashes/news events, distributions can break.
Smoothing / Lag: SMMA reduces false breakouts but adds delay — trade entries may occur later.
Practical Examples (Concrete)
Example Buy: prob1..prob8 = , lowerLine = 20 → all below 20 → strong long signal.
Example Sell: prob1..prob8 = , upperLine = 90 → all above 90 → take-profit / short signal.
Conclusion (Short)
Your indicator is a percentile/ranking oscillator over multiple windows — a robust ensemble measuring the relative position of the (smoothed) price to its own history.
Overheated = high, broadly confirmed prob values (e.g., all > upperLine).
Oversold = low, broadly confirmed prob values (e.g., all < lowerLine) → your rule: all below lowerLine = buy, all above upperLine = sell.
Never trade blindly — always use risk management and confirmation (volume, higher timeframes, structure).
Ripping and Dipping ReversalsWaits for price to be ripping or dipping a while based on aligned trending moving averages, then on a strong reversal bar indicates a potential buy or sell.
Universal Stochastic Fusion (Simplified) — v6What this indicator is
This indicator is called Universal Stochastic Fusion (USF).
It’s a tool that helps traders see when the market might be too high (overbought) or too low (oversold), and when it might be a good time to buy or sell.
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How it works
Think of the market like a rubber band.
• If the band stretches too far up, it usually snaps back down.
• If it stretches too far down, it usually bounces back up.
The USF indicator measures this stretch using something called the Stochastic Oscillator (just a fancy way of saying it looks at where the current price sits compared to recent highs and lows).
It shows this on a scale from 0 to 100:
• Near 100 → market is stretched upward (too hot).
• Near 0 → market is stretched downward (too cold).
• Around 50 → normal, middle ground.
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What’s special about USF
1. Two views at once
o It lets you see the market’s stretch on your current chart and on another timeframe (like a daily view).
o This way, you can see the short-term and the bigger picture together.
2. Smart levels
o Instead of always using the same “too high/too low” levels (like 80 and 20), it can adjust these lines automatically depending on how wild or calm the market is.
3. Buy and Sell signals
o When the market looks too low and starts turning up, it can mark a BUY.
o When the market looks too high and starts turning down, it can mark a SELL.
4. Extra filter (optional)
o It can also use another tool (RSI) to double-check signals, so you don’t get as many false alerts.
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How this helps traders
• It helps traders avoid buying when prices are already too high.
• It helps them spot possible bottoms where prices may bounce back.
• It combines short-term and long-term signals so traders don’t get tricked by quick moves.
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Where it works
This indicator is universal — meaning it works on almost any market:
• Stocks (like Apple, Tesla, etc.)
• Forex (currencies like EUR/USD)
• Crypto (Bitcoin, Ethereum, etc.)
• Commodities (Gold, Oil, etc.)
• Futures and Indices (S&P 500, Nasdaq, etc.)
Because all these markets share the same pattern of prices going up and down too much and then pulling back, the USF can be applied everywhere.
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👉 In short:
The Universal Stochastic Fusion is like a heat meter for the market.
It tells you when prices might be too hot (good chance to sell) or too cold (good chance to buy), and it works in all markets and timeframes.
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Pivots + EMAIndicators Pivot points and 2 EMAs combined. It can be used to find support and resistance levels and shows Exponential Moving Average lines
NeuroSwarm BTC: Мудрость Толпы vs Эксперты(RUS)
📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты».
В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram.
Толпа — агрегированные прогнозы участников (медиана и среднее).
Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков.
Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов.
Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка.
⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений.
Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами.
(ENG)
📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”.
Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities.
Crowd — aggregated forecasts from participants (median & average).
Experts — separate group of opinion leaders, traders, and analysts.
All values are fixed for each month and plotted on the chart as lines with shaded ranges.
This allows to compare expectations of different groups with actual market performance.
⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization.
The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.