BTCUSD Dual Thrust (1H)BTCUSD Dual Thrust (1H) — Indicator
Overview
The Dual Thrust is a classic breakout-type strategy designed to capture strong directional moves when markets show imbalance between buyers and sellers. This indicator adapts the method specifically for BTCUSD on the 1-Hour timeframe, showing dynamic Buy/Sell trigger levels and live signals.
Origin
The Dual Thrust system was originally introduced by Michael Vitucci and has been widely used in futures and high-volatility markets. It was designed as a day-trading breakout framework, where daily high/low and close data define the range for the next session’s trade triggers.
How it Works
Each new day, the indicator calculates a “breakout range” using daily price data.
Two trigger levels are projected from the daily open:
Buy Trigger: Open + Range × KUp
Sell Trigger: Open - Range × KDn
Range can be built from either:
Classic Dual Thrust formula: max(High - Close , Close - Low) over a lookback period, or
ATR-based range: for volatility-adaptive signals.
A LONG signal fires when price crosses above the Buy Trigger.
An EXIT signal fires when price crosses below the Sell Trigger.
Buy/Sell lines step forward across each intraday bar until recalculated at the next daily open.
Practical Use
Optimized for BTCUSD 1-Hour charts (crypto’s volatility provides stronger follow-through).
Use the Buy/Sell levels as dynamic breakout lines or as confluence with your own setups.
Alerts are built in, so you can receive notifications when a LONG or EXIT condition triggers.
Designed as an indicator only (not a backtest strategy).
Key Features
✅ Daily Buy/Sell trigger lines auto-calculated and forward-filled
✅ LONG / EXIT labels on signals
✅ Optional ATR mode for volatility regimes
✅ Optional bar coloring for easy visual scanning
✅ Alerts ready for live monitoring
⚡️ Tip: While this indicator highlights breakout opportunities, effectiveness can improve when combined with trend filters (e.g., 200-SMA) or when aligned with higher timeframe supply/demand zones.
BTCUSD
RSI Trend Navigator [QuantAlgo]🟢 Overview
The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions.
🟢 How It Works
The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information:
rsiValue = ta.rsi(source, rsiPeriod)
smoothedRSI = ta.ema(rsiValue, rsiSmoothing)
normalizedRSI = (smoothedRSI - 50) / 50
It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint:
adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1)
This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions:
var float adaptiveTrend = source
adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source)
The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling:
rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity
rsiTrendValue = adaptiveTrend + rsiAdjustment
ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning:
atr = ta.atr(atrPeriod)
deviation = atr * atrMultiplier
upperBound = rsiTrendValue + deviation
lowerBound = rsiTrendValue - deviation
The trend line positioning uses these band constraints to determine its final value:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
if trendUp
isBullish := true
isBearish := false
else if trendDown
isBullish := false
isBearish := true
The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning.
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions
Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions
Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit
Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
Linear Regression Trend Navigator [QuantAlgo]🟢 Overview
The Linear Regression Trend Navigator is a trend-following indicator that combines statistical regression analysis with adaptive volatility bands to identify and track dominant market trends. It employs linear regression mathematics to establish the underlying trend direction, while dynamically adjusting trend boundaries based on standard deviation calculations to filter market noise and maintain trend continuity. The result is a straightforward visual system where green indicates bullish conditions favoring buy/long positions, and red signals bearish conditions supporting sell/short trades.
🟢 How It Works
The indicator operates through a three-phase computational process that transforms raw price data into adaptive trend signals. In the first phase, it calculates a linear regression line over the specified period, establishing the mathematical best-fit line through recent price action to determine the underlying directional bias. This regression line serves as the foundation for trend analysis by smoothing out short-term price variations while preserving the essential directional characteristics.
The second phase constructs dynamic volatility boundaries by calculating the standard deviation of price movements over the defined period and applying a user-adjustable multiplier. These upper and lower bounds create a volatility-adjusted channel around the regression line, with wider bands during volatile periods and tighter bands during stable conditions. This adaptive boundary system operates entirely behind the scenes, ensuring the trend signal remains relevant across different market volatility regimes without cluttering the visual display.
In the final phase, the system generates a simple trend line that dynamically positions itself within the volatility boundaries. When price action pushes the regression line above the upper bound, the trend line adjusts to the upper boundary level. Conversely, when the regression line falls below the lower bound, the trend line moves to the lower boundary. The result is a single colored line that transitions between green (rising trend line = buy/long) and red (declining trend line = sell/short).
🟢 How to Use
Green Trend Line: Upward momentum indicating favorable conditions for long positions, buy signals, and bullish strategies
Red Trend Line: Downward momentum signaling optimal timing for short positions, sell signals, and bearish approaches
Rising Green Line: Accelerating bullish momentum with steepening angles indicating strengthening upward pressure and potential for trend continuation
Declining Red Line: Intensifying bearish momentum with increasing negative slopes suggesting persistent downward pressure and shorting opportunities
Flattening Trend Lines: Gradual reduction in slope regardless of color may indicate approaching consolidation or momentum exhaustion requiring position review
🟢 Pro Tips for Trading and Investing
→ Entry/Exit Timing: Trade exclusively on band color transitions rather than price patterns, as each color change represents a statistically-confirmed shift that has passed through volatility filtering, providing higher probability setups than traditional technical analysis.
→ Parameter Optimization for Asset Classes: Customize the linear regression period based on your trading style. For example, use 5-10 bars for day trading to capture short-term statistical shifts, 14-20 for swing trading to balance responsiveness with stability, and 25-50 for position trading to filter out medium-term noise.
→ Volatility Calibration Strategy: Adjust the standard deviation multiplier according to market volatility. For instance, increase to 2.0+ during high-volatility periods like earnings or news events to reduce false signals, decrease to 1.0-1.5 during stable market conditions to maintain sensitivity to genuine trends.
→ Cross-Timeframe Statistical Validation: Apply the indicator across multiple timeframes simultaneously, using higher timeframes for directional bias and lower timeframes for entry timing.
→ Alert-Based Systematic Trading: Use built-in alerts to eliminate discretionary decision-making and ensure you capture every statistically-significant trend change, particularly effective for traders who cannot monitor charts continuously.
→ Risk Allocation Based on Signal Strength: Increase position sizes during periods of strong directional movement while reducing exposure during frequent band color changes that indicate statistical uncertainty or ranging conditions.
Global Index EMA QuadrantsThis indicator displays global market indices on a 2D quadrant matrix based on their percentage distance from a selected EMA length across two different timeframes.
Features
• X-axis: % distance from EMA on a higher timeframe (default Weekly)
• Y-axis: % distance from EMA on a lower timeframe (default Daily)
• Bubble colors represent quadrants
• Count labels show how many indices are in each quadrant
How to Use
Select your preferred X timeframe, Y timeframe, and EMA length from the settings panel.
Analyze which quadrant each index is currently in to assess market momentum and breadth.
The zero axes represent the EMA level on each timeframe.
Notes
• This indicator uses only built-in request.security() data from TradingView
• No external APIs, personal data, or third-party content are used
• Designed purely for educational and market breadth analysis purposes
Spiderlines BTCUSD - daily/weekly📘 Documentation – Daily and Weekly Spider Lines for Bitcoin
🔹 Purpose of the Script
This script draws dynamic “Spider Lines” in the Bitcoin chart.
The lines connect certain historical candles with a reference candle and extend to the right.
These act as guideline levels that can serve as potential support or resistance zones.
🔹 How It Works
The script operates in two modes, depending on the active chart timeframe:
Weekly Mode (timeframe.isweekly)
The reference date is July 1, 2019.
The number of weeks since that date is calculated.
This defines the connection candle (connection_candle).
Several predefined offsets (e.g., +32, +34, +36 …) are added to the reference to determine starting candles.
Lines are drawn from these candles toward the connection candle.
→ Line color: green
Daily Mode (timeframe.isdaily)
Same reference date: July 1, 2019.
The number of days since that date is calculated.
Again, a connection candle is set.
A different set of offsets (e.g., +224, +238, +252 …) defines the starting candles.
Lines are drawn accordingly.
→ Line color: red
🔹 Line Logic
Each line connects:
Start → bar_index at high
End → bar_index at close
Lines are extended indefinitely to the right (extend.right).
Appearance: dashed style, width 2.
🔹 Error Handling
If a calculated candle index does not exist in the chart history (e.g., chart data does not go back far enough),
a label is plotted in the chart showing the message:
"Daily idx out of range: 252"
This way, missing lines can be diagnosed easily.
🔹 Color Convention
Weekly Spider Lines → Green
Daily Spider Lines → Red
🔹 Use Cases
Visualization of historical cyclic line patterns.
Helps in technical chart analysis: spotting potential reaction zones in price movement.
Designed mainly for long-term traders and analysts observing Bitcoin in Daily or Weekly timeframes.
🔹 Limitations
Works only on Daily and Weekly charts.
Requires chart data going back to July 1, 2019.
Based purely on fixed offsets → not a classical indicator like Moving Averages or RSI.
Long-Term Trend & Valuation Model [Backquant]Long-Term Trend & Valuation Model
Invite-only. A universal long-term valuation strategy and trend model built to work across markets, with an emphasis on crypto where cycles and volatility are large. Intended primarily for the 1D timeframe. Inputs should be adjusted per asset to reflect its structure and volatility.
If you would like to checkout the simplified and open source valuation, check out:
What this is
A two-layer framework that answers two different questions.
• The Valuation Engine asks “how extended is price relative to its own long-term regime” and outputs a centered oscillator that moves positive in supportive conditions and negative in deteriorating conditions.
• The Trend Model asks “is the market actually trending in a sustained direction” and converts several independent subsystems into a single composite score.
The combination lets you separate “where we are in the cycle” from “what to do about it” so allocation and timing can be handled with fewer conflicts.
Design philosophy
Crypto and many risk assets move in multi-month expansions and contractions. Short tools flip often and can be misleading near regime boundaries. This model favors slower, high-confidence information, then summarizes it in simple visuals and alerts. It is not trying to catch every swing. It is built to help you participate in the meat of long uptrends, de-risk during deteriorations, and identify stretched conditions that deserve caution or patience.
Valuation Engine, high level
The Valuation Engine blends several slow signals into one measure. Exact transforms, windows, and weights are private, but the categories below describe the intent. Each input is standardized so unlike units can be combined without one dominating.
Momentum quality — favors persistent, orderly advances over erratic spikes. Helps distinguish trend continuation from noise.
Mean-reversion pressure — detects when price is far from a long anchor or when oscillators are pulling back toward equilibrium.
Risk-adjusted return — long-window reward to variability. Encourages time in market when advances are efficient rather than merely fast.
Volume imbalance — summarizes whether activity is expanding with advances or with declines, using a slow envelope to avoid day-to-day churn.
Trend distance — expresses how stretched price is from a structural baseline rather than from a short moving average.
Price normalization — a long z-score of price to keep extremes comparable across cycles and symbols.
How the Valuation Engine is shaped
Standardization — components are put on comparable scales over long windows.
Composite blend — standardized parts are combined into one reading with protective weighting. No single family can override the rest on its own.
Smoothing — optional moving average smoothing to reduce whipsaw around zero or around the bands.
Bounded scaling — the composite is compressed into a stable, interpretable range so the mid zone and extremes are visually consistent. This reduces the effect of outliers without hiding genuine stress.
Volatility-aware re-expansion — after compression, the series is allowed to swing wider in high-volatility regimes so “overbought” and “oversold” remain meaningful when conditions change.
Thresholds — fixed OB/OS levels or dynamic bands that float with recent dispersion. Dynamic bands use k times a rolling standard deviation. Fixed bands are simple and comparable across charts.
How to read the Valuation Oscillator
Above zero suggests a supportive backdrop. Rising and positive often aligns with uptrends that are gaining participation.
Below zero suggests deterioration or risk aversion. Falling and negative often aligns with distribution or with trend exhaustion.
Touches of the upper band show stretch on the optimistic side. Repeated tags without breakdown often occur late in cycles, especially in crypto.
Touches of the lower band show stretch on the pessimistic side. They are common in washouts and early bases.
Visual elements
Valuation Oscillator — colored by sign for instant context.
OB/OS guides — fixed or dynamic bands.
Background and bar colors — optional, tied to the sign of valuation for quick scans.
Summary table — optional, shows the standardized contribution of the major categories and the final composite score with a simple status icon.
Trend Model, composite scoring
The trend side aggregates several independent subsystems. Each subsystem issues a vote: long, short, or neutral. Votes are averaged into a composite score. The exact logic of each subsystem is intentionally abstracted. The families below describe roles, not formulas.
Long-horizon price state — checks where price sits relative to multiple structural baselines and whether those baselines are aligned.
Macro regime checks — favors sustained risk-on behavior and penalizes persistent deterioration in breadth or volatility structure.
Ultimate confirmation — a conservative filter that only votes when directional evidence is persistent.
Minimalist sanity checks — keep the model responsive to obvious extremes and prevent “stuck neutral” states.
Higher timeframe or overlay inputs — optional votes that consider slower contexts or relative strength to stabilize borderline periods.
You define two cutoffs for the composite: above the long threshold the state is Long , below the short threshold the state is Short , in between is Cash/Neutral . The script paints a signal line on price for an at-a-glance view and provides alerts when the composite crosses your thresholds.
How it can be used
Cycle framing in crypto — use deep negative valuation as accumulation context, then look for the composite trend to move through your long threshold. Late in cycles, extended positive valuation with weakening composite votes is a caution cue for de-risking or tighter management.
Regime-based allocation — increase risk or loosen take-profits when the composite is firmly Long and valuation is rising. Decrease risk or rotate to stable holdings when the composite is Short and valuation is falling.
Signal gating — run shorter-term entry systems only in the direction of the composite. This reduces counter-trend trades and improves holding discipline during strong uptrends.
Sizing overlay — scale position sizes by the magnitude of the valuation reading. Smaller sizes near the upper band during aging advances, larger sizes near zero after strong resets.
DCA context — for long-only accumulation, schedule heavier adds when valuation is negative and stabilizing, then lighten or pause adds when valuation is very positive and flattening.
Cross-asset rotation — compare symbols on 1D with the same fixed bands. Favor assets with positive valuation that are also in a Long composite state.
Interpreting common patterns
Early build-out — valuation rises from below zero, but the composite is still neutral. This is often the base-building phase. Patience and staged entries can make sense.
Healthy advance — valuation positive and trending up, composite firmly Long. Pullbacks that keep valuation above zero are usually opportunities rather than trend breaks.
Late-cycle stretch — valuation pinned near the upper band while the composite starts to weaken toward neutral. Consider trimming, tightening risk, or shifting to a “let the market prove it” stance.
Distribution and unwind — valuation negative and falling, composite Short. Rallies are treated as counter-trend until both turn.
Settings that matter
Timeframe
This model is intended for 1D as the primary view. It can be inspected on higher or lower frames, but the design choices assume daily bars for crypto and other risk assets.
Asset-specific tuning
Inputs should be adjusted per asset. Coins with high variability benefit from longer lookbacks and slightly wider dynamic bands. Lower-volatility instruments can use shorter windows and tighter bands.
Valuation side
Lookback lengths — longer values make the oscillator steadier and more cycle-aware. Shorter values increase sensitivity but create more mid-zone noise.
Smoothing — enable to reduce flicker around zero and around the bands. Disable if you want faster warnings of regime change.
Dynamic vs fixed thresholds — dynamic bands float with recent dispersion and keep OB/OS comparable across regimes. Fixed bands are simple and make inter-asset comparison easy.
Scaling and re-expansion — keep this enabled if you want extremes to remain interpretable when volatility rises.
Trend side
Composite thresholds — widen the neutral zone if you want fewer flips. Tighten thresholds if you want earlier signals at the cost of more transitions.
Visibility — use the price-pane signal line and bar coloring to keep the regime in view while you focus on structure.
Alerts
Valuation OB/OS enter and exit — the oscillator entering or leaving stretched zones.
Zero-line crosses — valuation turning positive or negative.
Trend flips — composite crossing your long or short threshold.
Strengths
Separates “valuation context” from “trend state,” which improves decisions about when to add, reduce, or stand aside.
Composite voting reduces reliance on any single indicator family and improves robustness across regimes.
Volatility-aware scaling keeps signals interpretable during quiet and wild markets.
Clear, configurable visuals and alerts that support long-horizon discipline rather than frequent toggling.
Final thoughts
This is a universal long-term valuation strategy and trend model that aims to keep you aligned with the dominant regime while giving transparent context for stretch and risk. For crypto on 1D, it helps map accumulation, expansion, distribution, and unwind phases with a single, consistent language. Tune lookbacks, smoothing, and thresholds to the asset you trade, let the valuation side tell you where you are in the cycle, and let the composite trend side tell you what stance to hold until the market meaningfully changes.
Sequential Pattern Strength [QuantAlgo]🟢 Overview
The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points.
🟢 How It Works
The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability:
if close > close
upSequence := upSequence + 1
downSequence := 0
else if close < close
downSequence := downSequence + 1
upSequence := 0
The system calculates sequence quality by measuring how "perfect" the consecutive moves are:
perfectMoves = math.max(upSequence, downSequence)
totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0))
sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0
First, it tracks price extension from the sequence starting point:
priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100
Then, pattern exhaustion is identified when sequences become overextended:
isExhausted = math.abs(currentSequence) >= maxSequence or
math.abs(priceExtension) > resetThreshold * math.abs(currentSequence)
Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement:
patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10)
enhancedSignal = patternStrength + momentum * 10
signal = ta.ema(enhancedSignal, smooth)
This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing.
🟢 Signal Interpretation
Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities
Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities
Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break
Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels
Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
Mean Reversion Channel [QuantAlgo]🟢 Overview
The Mean Reversion Channel indicator is a range-bound trading system that combines dynamic price channels with momentum-weighted analysis to identify optimal mean reversion opportunities. It creates adaptive upper and lower reversion zones based on recent price action and volatility, while incorporating a momentum-biased equilibrium line that shifts based on volume-weighted price momentum. This creates a three-tier system where traders and investors can identify overbought and oversold conditions within established ranges, detect momentum exhaustion points, and anticipate channel breakouts or breakdowns. This indicator is particularly valuable for strategic dollar cost averaging (DCA) strategies, as it helps identify optimal accumulation zones during oversold conditions and provides tactical risk management levels for systematic investment approaches across different market conditions and asset classes.
🟢 How It Works
The indicator employs a four-stage calculation process that transforms raw price and volume data into actionable mean reversion signals. First, it establishes the base channel by calculating the highest high and lowest low over a user-defined lookback period, creating the foundational price range for mean reversion analysis. This channel adapts continuously as new price data becomes available, ensuring the system remains relevant to current market conditions.
In the second stage, the system calculates volume-weighted momentum by combining price momentum with volume activity. The momentum calculation takes the price change over a specified period and multiplies it by the volume ratio (current volume versus 20-period average volume, for instance) and a volume factor multiplier. This creates momentum readings that are more significant during high-volume periods and less influential during low-volume conditions.
The third stage creates the dynamic reversion zones using Average True Range (ATR) calculations. The upper reversion zone is positioned below the channel high by an ATR-based distance, while the lower reversion zone is positioned above the channel low. These zones contract when momentum is negative (upper zone) or positive (lower zone), creating asymmetric reversion bands that adapt to momentum conditions.
The final stage establishes the momentum-biased equilibrium line by calculating the midpoint between the reversion zones and adjusting it based on momentum bias. When momentum is positive, the equilibrium shifts upward; when negative, it shifts downward. This creates a dynamic reference level that helps identify when price action is moving against the prevailing momentum trend, signaling potential mean reversion opportunities.
🟢 How to Use
1. Mean Reversion Signal Identification
Lower Reversion Zone Signals: When price reaches or falls below the lower reversion zone with bearish momentum, the system generates potential long/buy entry signals indicating oversold conditions within the established range.
Upper Reversion Zone Signals: When price reaches or exceeds the upper reversion zone with bullish momentum, the system generates potential short/sell entry signals indicating overbought conditions.
2. Equilibrium Line Analysis and Momentum Exhaustion
Equilibrium Breaks: The dynamic equilibrium line serves as a momentum bias indicator within the channel. Price crossing above equilibrium suggests shifting to bullish bias, while breaks below indicate bearish bias development within the mean reversion framework.
Momentum Exhaustion Signals: The system identifies momentum exhaustion when price breaks through the equilibrium line opposite to the prevailing momentum direction. Bullish exhaustion occurs when price falls below equilibrium despite positive momentum, while bearish exhaustion happens when price rises above equilibrium during negative momentum periods.
3. Channel Expansion and Breakout Detection
Channel Boundary Breaks: When price breaks above the upper reversion zone or below the lower reversion zone, it signals potential channel expansion or false breakout conditions. These events often precede significant trend changes or range expansion phases.
Range Expansion Alerts: Breaks above the channel high or below the channel low indicate potential breakout from the mean reversion range, suggesting trend continuation or new directional movement beyond the established boundaries.
🟢 Pro Tips for Trading and Investing
→ Strategic DCA Optimization: Use the lower reversion zone as primary accumulation levels for dollar cost averaging strategies. When price reaches oversold conditions with bearish momentum exhaustion signals, it often represents optimal entry points for systematic investment programs, allowing investors to accumulate positions at statistically favorable price levels within the established range.
→ DCA Pause and Acceleration Signals : Monitor equilibrium line breaks to adjust DCA frequency and amounts. When price consistently trades below equilibrium with momentum exhaustion signals, consider accelerating DCA intervals or increasing investment amounts. Conversely, when price reaches upper reversion zones, consider pausing or reducing DCA activity until more favorable conditions return.
→ Momentum Divergence Detection: Watch for divergences between price action and momentum readings within the channel. When price makes new lows but momentum shows improvement, or price makes new highs with deteriorating momentum, these signal high-probability mean reversion setups ideal for contrarian investment approaches.
→ Alert-Based Systematic Investing/Trading: Utilize the comprehensive alert system for automated DCA triggers. Set up alerts for lower reversion zone touches combined with momentum exhaustion signals to create systematic entry points that remove emotional decision-making from long-term investment strategies, particularly effective for volatile assets where timing improvements can significantly impact overall returns.
Advanced Crypto Trading Dashboard📊 Advanced Crypto Trading Dashboard
🎯 FULL DESCRIPTION FOR TRADINGVIEW POST:
🚀 WHAT IS THIS DASHBOARD?
This is an advanced multi-timeframe technical analysis dashboard designed specifically for cryptocurrency trading. Unlike basic indicators, this script combines 8 essential metrics into a single visual table, providing a 360º market overview across 4 simultaneous timeframes.
📈 ANALYZED TIMEFRAMES:
- 15M: For scalping and precise entries
- 1H: For short-term swing trades
- 4H: For intermediate analysis and confirmations
- 1D: For macro view and main trend
🎯 ADVANCED METRICS EXPLAINED:
1. 📊 MOMENTUM
- Calculation: Combines RSI (40%) + MACD (30%) + Volume (30%)
- Ratings: Bullish | Neutral ↗ | Neutral ↘ | Bearish
- Use: Identifies the strength of the current movement
2. 📈 TREND
- Calculation: Alignment of EMAs (8, 21, 55) + ADX for strength
- Signals: Strong ↗ | Strong ↘ | Trending | Ranging
- Use: Confirms trend direction and intensity
3. 💰 MONEY FLOW
- Calculation: Money Flow Index (MFI) - advanced RSI with volume
- States: Bullish | Bearish | Overbought | Oversold
- Use: Detects real buying/selling pressure (not just candle color)
4. 🎯 RSI
- Calculation: Traditional 14-period RSI
- Zones: > 70 (Overbought) | < 30 (Oversold) | Neutral
- Use: Identifies price extremes and opportunities
5. ⚡ VOLATILITY
- Calculation: ATR in percentage + state classification
- States: High | Medium | Low + exact %
- Use: Assesses risk and movement potential
6. 🔔 BB SIGNAL
- Calculation: Price position in Bollinger Bands
- Signals: Overbought | Oversold | Neutral
- Use: Confirms extremes and reversal points
7. 🎲 SCORE
- Calculation: Composite score from 0-100 based on all indicators
- Colors: Green (>75) | Yellow (40-75) | Red (<40)
- Use: Quick overall assessment of asset strength
🎨 VISUAL FEATURES:
🌈 SMART COLOR SYSTEM:
- Green: Bullish signals/buy opportunities
- Red: Bearish signals/sell opportunities
- Yellow: Neutral zones/wait for confirmation
- Blue: Neutral technical information
📍 FULL CUSTOMIZATION:
- Position: Left | Center | Right
- Size: Small | Normal | Large
- Emojis: On/Off for professional settings
- Parameters: All periods adjustable
📋 HOW TO INTERPRET:
✅ STRONG BUY SIGNAL:
- Momentum: Bullish
- Trend: Strong ↗
- Money Flow: Bullish
- RSI: 30-70 (healthy zone)
- Score: >60
❌ STRONG SELL SIGNAL:
- Momentum: Bearish
- Trend: Strong ↘
- Money Flow: Bearish
- RSI: >70 or <30 (extremes)
- Score: <40
⚠️ CAUTION ZONE:
- Conflicting signals across timeframes
- Money Flow vs. Trend divergence
- RSI at extremes with average Score
💡 USAGE STRATEGIES:
🎯 SCALPING (15M-1H):
- Check alignment between 15M and 1H
- Enter when both show the same signal
- Use Stop Loss based on volatility
📈 SWING TRADING (1H-4H):
- Confirm trend on 4H
- Enter on pullbacks in 1H
- Target based on overall Score
🏦 POSITION TRADING (4H-1D):
- Focus on 1D analysis
- Use 4H for entry timing
- Hold position until Score reverses
🔧 RECOMMENDED SETTINGS:
👨💼 FOR PROFESSIONAL TRADERS:
- Position: Center
- Size: Normal
- Emojis: Off
- Chart Timeframe: 1H
🎮 FOR BEGINNERS:
- Position: Right
- Size: Large
- Emojis: On
- Chart Timeframe: 4H
⚡ ADVANTAGES OVER OTHER DASHBOARDS:
✅ Precise Calculations: Real MFI vs. "fake buyer volume"
✅ Multi-Timeframe: 4 simultaneous analyses
✅ Composite Score: Overall view in one number
✅ Intuitive Visuals: Clear colors and symbols
✅ Fully Customizable: Adapts to any setup
✅ Zero Repaint: Reliable and stable data
✅ Optimized Performance: Doesn’t lag the chart
🎓 PRACTICAL EXAMPLE:
Asset: BTCUSDT | Timeframe: 1H
| TF | Momentum | Trend | Money Flow | RSI | Score |
|------|----------|------------|------------|-----|-------|
| 15M | Bullish | Strong ↗ | Bullish | 65 | 78 |
| 1H | Neutral↗ | Strong ↗ | Bullish | 58 | 68 |
| 4H | Neutral↘ | Trending | Bearish | 45 | 52 |
| 1D | Bearish | Strong ↘ | Bearish | 35 | 32 |
📊 Interpretation:
- Short-term: Bullish (15M-1H aligned)
- Mid-term: Conflict (4H neutral)
- Long-term: Bearish (1D negative)
- Strategy: Short-term bullish trade with tight stop
🚨 IMPORTANT NOTES:
- This indicator is a support tool, not an automated system
- Always combine with traditional chart analysis
- Test in paper trading before using real money
- Always manage risk with appropriate stop loss
- Not a holy grail - no indicator is 100% accurate
📞 SUPPORT AND FEEDBACK:
Leave your rating and comments! Your feedback helps continuously improve this tool.
Crypto Strength MatrixOverview
The "Crypto Strength Matrix" is a custom Pine Script v5 indicator designed for cryptocurrency traders to assess the relative strength of major crypto market segments against traditional markets (e.g., the U.S. Dollar Index) and Bitcoin dominance. This indicator plots the strength of Altcoins (excluding ETH and SOL), Ethereum (ETH), Solana (SOL), the Dollar Index (DXY) versus Altcoins, and Bitcoin Dominance (DOM) on a 0-100 scale, using the Relative Strength Index (RSI) methodology. It provides a visual and intuitive way to identify overbought (>70) or oversold (<30) conditions across these assets, helping traders spot potential entry or exit points in the crypto market.
How It Works
The indicator fetches real-time data from various crypto and forex symbols available on TradingView, including:
CRYPTOCAP:TOTAL2 (total altcoin market cap),
CRYPTOCAP:ETH and CRYPTOCAP:SOL (market caps of ETH and SOL),
CRYPTO:ETHUSD and CRYPTO:SOLUSD (ETH and SOL prices),
CRYPTOCAP:BTC.D (Bitcoin dominance),
TVC:DXY (U.S. Dollar Index).
Calculations:
Altcoin Strength (OTH): Measures the RSI of the normalized market cap of all altcoins excluding ETH and SOL (calculated as TOTAL2 - ETH - SOL), relative to the total altcoin market cap. This reflects the strength of smaller altcoins.
ETH Strength: Computes the RSI of ETH/USD price adjusted by the DXY, isolating ETH's performance against the dollar.
SOL Strength: Similar to ETH, calculates the RSI of SOL/USD price adjusted by the DXY, focusing on Solana's strength.
DXY vs Altcoins: Uses the RSI of the DXY divided by the normalized total altcoin market cap, indicating the dollar's strength relative to altcoins.
Bitcoin Dominance (DOM): Directly applies RSI to Bitcoin dominance data, showing BTC's market control.
Each metric is plotted as a line with a unique color (OTH in aqua, ETH in teal, SOL in purple, DXY in green, DOM in orange) and labeled at the end of the chart for easy identification. Horizontal lines at 70 (overbought), 50 (neutral), and 30 (oversold) provide reference levels.
How to Use
Add the Indicator: Apply the "Crypto Strength Matrix" to a cryptocurrency chart (e.g., BTC/USD or ETH/USD) on a daily or 4-hour timeframe for optimal results.
Interpret the Lines:
OTH (Altcoins excluding ETH and SOL): A value above 70 suggests strong momentum in smaller altcoins, while below 30 indicates weakness. Monitor for divergence with ETH and SOL.
ETH and SOL: High values (>70) signal potential overbought conditions for these assets, while low values (<30) may indicate oversold opportunities.
DXY: Rising above 70 may suggest a stronger dollar, potentially pressuring crypto prices, while below 30 could indicate a weakening dollar, favoring crypto.
DOM: A value above 70 reflects strong Bitcoin dominance, often leading to altcoin underperformance, while below 30 may signal altcoin season.
Combine with Price Action: Use the indicator alongside candlestick patterns or volume analysis to confirm trade signals.
Adjust RSI Length: The default RSI length is 14, but you can tweak this input in the indicator settings to suit your trading style (e.g., 7 for shorter-term, 21 for longer-term trends).
Monitor Trends: Look for crossovers between lines (e.g., OTH rising above DXY) or alignment with the 50 neutral line to gauge market shifts.
Tips
Timeframe Selection: Daily charts provide a broad market view, while 4-hour charts offer more frequent signals. Avoid very short timeframes (e.g., 5m) due to noise.
Contextual Awareness: Combine with macroeconomic news (e.g., U.S. dollar strength) and Bitcoin price movements for better decision-making.
Risk Management: Use the indicator as a supplementary tool, not a standalone signal, and always set stop-losses based on your risk tolerance.
This indicator is ideal for crypto traders seeking a comprehensive view of market dynamics without the complexity of multiple charts. Enjoy trading with the "Crypto Strength Matrix"!
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table.
Source: www.ccn.com
Justin's MSTR Powerlaw Price PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. The price prediction is based on the the formula published in this article:
www.ccn.com
Price Acceleration Matrix [QuantAlgo]🟢 Overview
The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods.
In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level.
The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter.
🟢 How to Use
1. Signal Interpretation and Momentum Analysis
Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions
Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions
Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation
Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings
Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution
2. Overbought/Oversold Zone Analysis
Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks
Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential
Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes
🟢 Pro Tips for Trading
→ Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal.
→ Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals.
→ Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts.
→ Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity.
→ Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches.
→ Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
BTC Power Law [Financial 6-Pack | @itsToghrul]A clean, research-grade roadmap for Bitcoin’s long-term trajectory. The script fits a power-law curve to INDEX:BTCUSD price vs. days since genesis, adds asymmetric deviation bands to reflect diminishing upside, and can project the path forward while keeping chart clutter under control. A compact stats table shows model fit quality, live deviation, and model prices for a custom future date.
What it does
- Plots a base power-law model of BTC price over time.
- Adds an upper band that decays over time to capture diminishing returns, with multiple decay options.
- Adds a lower band as a fixed multiple to frame downside risk.
- Optionally boosts cycle peaks with Gaussian “bumps” to reflect halving-cycle dynamics.
- Draws dashed forward projections for the base line and bands over a user-defined horizon.
Displays a stats table with:
- Rolling R² of model vs. price (in log space) over a user-defined lookback.
- Current % deviation from the base model.
- Model, upper, and lower prices for a custom date you set.
Key features
- Five upper-band modes: Fixed, Exponential, Power-law, Stretched Exponential (Weibull), and Logistic/Hill. Each mode has intuitive controls for steepness, midpoint, floor, and reference scales.
- Cycle peak enhancer: Optional Gaussian sum with per-cycle decay, width, and period controls, plus an optional cosine modulation.
- Future projection controls: Choose the forward horizon in days and a sampling step to balance precision vs. performance. Projections render as transparent dashed lines to avoid clutter.
- Lightweight rendering: Internal caps on line segments keep drawings responsive without losing structure.
- Custom-date pricing: Build a date/time from parts and read off model, upper, and lower prices in the table.
- Transparent fit metric: Rolling R² in log space offers a quick quality check for the current regime.
Inputs overview
- Future projection: On/off, horizon (days), and sampling step.
- Colors: Base line and band colors with separate transparency for projections.
- Upper deviation: Mode selector plus parameters for decay shape, floor, reference scale, or midpoint/steepness, depending on mode.
- Lower deviation: Single fixed multiple with color.
- Gaussian peaks (optional): Amplitude base, cycle width, period, first-peak center, per-cycle decay, number of cycles, and optional cosine modulation.
- Stats: Rolling R² lookback length.
- Custom date: Year, month, day, hour, minute for quick scenario checks.
How to read it
- Base line: Long-term fair-value trend under a power-law regime.
- Upper band: Probable cycle top envelope that compresses over time. Switching modes changes how quickly headroom fades.
- Lower band: Defensive envelope for stress scenarios.
- Deviation %: Positive values signal overvaluation vs. model; negative values signal undervaluation vs. model.
- Custom date row: Quick “what-if” prices for your chosen timestamp.
Practical tips
- Use log scale on the price chart for visual clarity.
- For conservative tops, select Logistic/Hill or Stretched Exp with a non-trivial floor.
- For aggressive tops, use Power-law upper mode with a moderate exponent, then temper with the Gaussian enhancer.
- Keep the projection step coarse on lower-power machines to maintain snappy charts.
- Treat R² as a diagnostic, not a signal. Markets drift around regime shifts.
Intended use
Research and risk framing for BTC on higher timeframes. Works best on weekly or higher with reliable BTC spot pairs.
Disclaimer
Educational content only. No financial advice. Markets carry risk. Manage exposure and test ideas before acting.
[Tuan Captain] BTC Buy & Sell SignalsLooking for high-quality trading signals for Bitcoin (BTCUSD)? Stay updated with our expertly analyzed entry points, backed by real-time market data and trend indicators to help you make smarter, more profitable decisions in the crypto market.
RSI Halving Heatmap by GUELFO
📈 **RSI Halving Heatmap Indicator**
This custom RSI indicator colors the RSI line based on the number of months remaining until the next Bitcoin halving. The closer we get to the halving, the warmer the color—ranging from deep blue (far from halving) to bright red (near halving).
✅ Includes:
- Customizable RSI length and source
- 12-color gradient scale for halving proximity
- Optional SMA overlay on RSI for trend smoothing
Ideal for visualizing market momentum in the context of Bitcoin’s halving cycle.
Reversal IndicatorWhat does this indicator do?
This indicator is designed to help traders spot potential reversal points in the market by combining multiple conditions:
✅ Multi-Timeframe RSI – Checks RSI on a lower timeframe (like 5m) to see if the market is oversold or overbought.
✅ Higher Timeframe SMA Filter – Uses a higher timeframe SMA (like 1h) as a trend filter, so signals only trigger in the direction of the bigger trend.
✅ Candle Pattern Confirmation – Looks for bullish or bearish engulfing candles to confirm price exhaustion before signaling a reversal.
When all these conditions align, the indicator plots a triangle under/above the candle to highlight a possible reversal.
Why is this useful?
Many traders struggle with false RSI signals or candle patterns that fail because they don’t respect the larger trend.
This indicator filters out weak setups by requiring alignment between:
A lower timeframe RSI oversold/overbought condition,
A higher timeframe trend filter (SMA),
And a strong candle reversal pattern.
This multi-layer approach helps avoid chasing every RSI dip and focuses only on high-probability reversal zones.
How does it work?
Bullish reversal signal → appears when RSI on the lower TF is oversold, price is still above the higher TF SMA (trend still intact), AND a bullish engulfing candle forms.
Bearish reversal signal → appears when RSI on the lower TF is overbought, price is below the higher TF SMA, AND a bearish engulfing candle forms.
When all conditions match, the indicator plots a triangle under the candle for bullish signals and above the candle for bearish signals.
How to use it?
Choose your timeframes:
A timeframe for trend filtering (e.g. 1h).
A timeframe for RSI (e.g. 4h).
NOTICE: THE RSI TIMEFRAME SHOULD BE GREATER THEN THE TIMEFRAME FOR THE SMA
Otherwise it will not generate that much signals.
Watch for signals ONLY in the direction of the higher trend.
Use the signals as potential reversal points, not as guaranteed entries. Combine with your own confluence.
Optionally set alerts for bullish or bearish reversal conditions so you never miss a setup.
Customization
✅ Choose your RSI length & overbought/oversold levels.
✅ Select which timeframes you want for SMA & RSI.
✅ Toggle the higher TF SMA display on/off.
✅ Adjust signal appearance (triangles).
Important Notes
⚠️ This is not a standalone trading system. It’s a tool to help spot possible reversal areas. Always confirm with price action, support/resistance, or your own strategy
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
HIFI BTC Daily Hashrate Momentum OscillatorThe "HIFI BTC Daily Hashrate Momentum Oscillator" indicator is an oscillator that analyzes the "health" and confidence of miners in the Bitcoin network. It measures the momentum of hashrate changes using its deviation from the 30-day and 60-day moving averages. A rising hashrate is often a leading or confirming bullish trend indicator for the price of BTC.
Main Idea
Hashrate is the total computing power involved in mining. Its growth indicates increased investment in network security and miners' confidence in future profitability.
Blue Oscillator (fast): Shows the short-term dynamics of hashrate growth.
Green Oscillator (slow): Indicates the long-term trend of hash rate changes.
Chart background: The green background signals the acceleration of the hash rate growth (short-term momentum is higher than long-term), which is a positive sign.
How to Read Signals
A Buy signal appears when two fundamental conditions coincide:
Growth acceleration: The short-term hashrate momentum becomes stronger than the long-term one (the blue line crosses the green one from bottom to top). This indicates that miners are actively building capacity.
Exit from stagnation: This acceleration occurs after a period of weak hashrate growth or decline (the green line is below the red dashed line).
This combination indicates the potential start of a new cycle of growth and confidence in the network, which historically has often preceded the rise in the price of Bitcoin itself.
Disclamer: This indicator is an analysis tool and should not be considered as a direct financial recommendation. Always do your own analysis before making trades.
Dominance Interflow DThis indicator visualizes the normalized dominance levels of key sectors in the crypto market, including Bitcoin, Ethereum, Stablecoins, and the Altcoins as grouped market segments.
All dominance values are normalized between 0 and 1 for clear visual comparison. This allows traders and analysts to:
- Track capital rotation and dominance shifts
- Identify Altseason setups or defensive market phases
- Spot Risk-On / Risk-Off sentiment based on Stablecoin dominance
- Evaluate market breadth through altcoin tracking
📊 Included Data Series:
- 🟧 Bitcoin Dominance (BTC.D)
- 🔵 Ethereum Dominance (ETH.D)
- ⚪ Stablecoin Dominance (STABLE.C.D)
- 🟥 Without Top 50 Coins (TOTALE50.D)
- 🟥 without Top 100 Coins (TOTALE100.D)
🧠 Smart Normalization:
Automatically adjusts based on timeframe
500 candles for Daily (1D)
💡 Use this tool to understand macro capital flows, identify crypto sector trends, and optimize your asset rotation strategy.
EMA 200 Monitor - Bybit CoinsEMA 200 Monitor - Bybit Coins
📊 OVERVIEW
The EMA 200 Monitor - Bybit Coins is an advanced indicator that automatically monitors 30 of the top cryptocurrencies traded on Bybit, alerting you when they are close to the 200-period Exponential Moving Average on the 4-hour timeframe.
This indicator was developed especially for traders who use the EMA 200 as a key support/resistance level in their swing trading and position trading strategies.
🎯 WHAT IT'S FOR
Multi-Asset Monitoring: Simultaneous monitoring of 30 cryptocurrencies without having to switch between charts
Opportunity Identification: Detects when coins are approaching the 200 EMA, a crucial technical level
Automated Alerts: Real-time notifications when a coin reaches the configured proximity
Time Efficiency: Eliminates the need to manually check chart collections
⚙️ HOW IT WORKS
Main Functionality
The indicator uses the request.security() function to fetch price data and calculate the 200 EMA of each monitored asset. With each new bar, the script:
Calculates the distance between the current price and the 200 EMA for each coin
Identifies proximity based on the configured percentage (default: 2%)
Displays results in a table organized on the chart
Generates automatic alerts when proximity is detected
Monitored Coins
Major : BTC, ETH, BNB, ADA, XRP, SOL, DOT, DOGE, AVAX
DeFi : UNI, LINK, ATOM, ICP, NEAR, OP, ARB, INJ
Memecoins : SHIB, PEPE, WIF, BONK, FLOKI
Emerging : SUI, TON, APT, POL (ex-MATIC)
📋 AVAILABLE SETTINGS
Adjustable Parameters
EMA Length (Default: 200): Exponential Moving Average Period
Proximity Percentage (Default: 2%): Distance in percentage to consider "close"
Show Table (Default: Active): Show/hide results table
Table Position: Position of the table on the chart (9 options available)
Color System
🔴 Red: Distance ≤ 1% (very close)
🟠 Orange: Distance ≤ 1.5% (close)
🟡 Yellow: Distance ≤ 2% (approaching)
🚀 HOW TO USE
Initial Configuration
Add the indicator to the 4-hour timeframe chart
Set the parameters according to your strategy
Position the table where there is no graphic preference
Setting Alerts
Click "Create Alert" in TradingView
Select the "EMA 200 Monitor" indicator
Set the notification frequency and method
Activate the alert to receive automatic notifications
Results Interpretation
The table shows:
Coin: Asset name (e.g. BTC, ETH)
Price: Current currency quote
EMA 200: Current value of the moving average
Distance: Percentage of proximity to the core code
💡 STRATEGIES TO USE
Reversal Trading
Entry: When price touches or approaches the EMA 200
Stop: Below/above the EMA with a safety margin
Target: Previous resistance/support levels
Breakout Trading
Monitoring: Watch for currencies consolidating near the EMA 200
Entry: When the media is finally broken
Confirmation: Volume and close above/below the EMA
Swing Trading
Identification: Use the monitor to detect setups in formation
Timing: Wait for the EMA 200 to approach for detailed analysis
Management: Use the EMA as a reference for stops dynamics
⚠️ IMPORTANT CONSIDERATIONS
Technical Limitations
Request Bybit data: Access to exchange symbols required
Specific timeframe: Optimized for 4-hour analysis
Minimum delay: Data updated with each new bar
Usage Recommendations
Combine with technical analysis: Use together with other indicators
Confirm the configuration: Check the graphic patterns before trading
Manage risk: Always use stop loss and adequate position sizing
Backtesting: Test your strategy before applying with real capital
Disclaimer
This indicator is a technical analysis tool and does not constitute investment advice. Always do your own analysis and manage detailed information about the risks of your operations.
🔧 TECHNICAL INFORMATION
Pine Script version: v6
Type: Indicator (overlay=true)
Compatibility: All TradingView plans
Resources used: request.security(), arrays, tables
Performance: Optimized for multiple simultaneous queries
📈 COMPETITIVE ADVANTAGES
✅ Simultaneous monitoring of 30 major assets ✅ Clear visual interface with intuitive core system ✅ Customizable alerts for different details ✅ Optimized code for maximum performance ✅ Flexible configuration adaptable to different strategies ✅ Real-time update without the need for manual refresh
Developed for traders who value efficiency and accuracy in identifying market opportunities based on the EMA 20
MestreDoFOMO MACD VisualMasterDoFOMO MACD Visual
Description
MasterDoFOMO MACD Visual is a custom indicator that combines a unique approach to MACD with stochastic logic and simulated Renko-based direction signals. It is designed to help traders identify entry and exit opportunities based on market momentum and trend changes, with a clear and intuitive visualization.
How It Works
Stylized MACD with Stochastic: The indicator calculates the MACD using EMAs (exponential moving averages) normalized by stochastic logic. This is done by subtracting the lowest price (lowest low) from a defined period and dividing by the range between the highest and lowest price (highest high - lowest low). The result is a MACD that is more sensitive to market conditions, magnified by a factor of 10 for better visualization.
Signal Line: An EMA of the MACD is plotted as a signal line, allowing you to identify crossovers that indicate potential trend reversals or continuations.
Histogram: The difference between the MACD and the signal line is displayed as a histogram, with distinct colors (fuchsia for positive, purple for negative) to make momentum easier to read.
Simulated Renko Direction: Uses ATR (Average True Range) to calculate the size of Renko "bricks", generating signals of change in direction (bullish or bearish). These signals are displayed as arrows on the chart, helping to identify trend reversals.
Purpose
The indicator combines the sensitivity of the Stochastic MACD with the robustness of Renko signals to provide a versatile tool. It is ideal for traders looking to capture momentum-based market movements (using the MACD and histogram) while confirming trend changes with Renko signals. This combination reduces false signals and improves accuracy in volatile markets.
Settings
Stochastic Period (45): Sets the period for calculating the Stochastic range (highest high - lowest low).
Fast EMA Period (12): Period of the fast EMA used in the MACD.
Slow EMA Period (26): Period of the slow EMA used in the MACD.
Signal Line Period (9): Period of the EMA of the signal line.
Overbought/Oversold Levels (1.0/-1.0): Thresholds for identifying extreme conditions in the MACD.
ATR Period (14): Period for calculating the Renko brick size.
ATR Multiplier (1.0): Adjusts the Renko brick size.
Show Histogram: Enables/disables the histogram.
Show Renko Markers: Enables/disables the Renko direction arrows.
How to Use
MACD Crossovers: A MACD crossover above the signal line indicates potential bullishness, while below suggests bearishness.
Histogram: Fuchsia bars indicate bullish momentum; purple bars indicate bearish momentum.
Renko Arrows: Green arrows (upward triangle) signal a change to an uptrend; red arrows (downward triangle) signal a downtrend.
Overbought/Oversold Levels: Use the levels to identify potential reversals when the MACD reaches extreme values.
Notes
The chart should be set up with this indicator in isolation for better clarity.
Adjust the periods and ATR multiplier according to the asset and timeframe used.
Use the built-in alerts ("Renko Up Signal" and "Renko Down Signal") to set up notifications of direction changes.
This indicator is ideal for day traders and swing traders who want a visually clear and functional tool for trading based on momentum and trends.
MestreDoFOMO Future Projection BoxMestreDoFOMO Future Projection Box - Description & How to Use
Description
The "MestreDoFOMO Future Projection Box" is a TradingView indicator tailored for crypto traders (e.g., BTC/USDT on 1H, 4H, or 1D timeframes). It visualizes current price ranges, projects future levels, and confirms trends using semi-transparent boxes. With labeled price levels and built-in alerts, it’s a simple yet powerful tool for identifying support, resistance, and potential price targets.
How It Works
Blue Box (Current Channel): Shows the recent price range over the last 10 bars (adjustable). The top is the highest high plus an ATR buffer, and the bottom is the lowest low minus the buffer. Labels display exact levels (e.g., "Top: 114000", "Bottom: 102600").
Green Box (Future Projection): Projects the price range 10 bars ahead (adjustable) based on the trend slope of the moving average. Labels show "Proj Top" and "Proj Bottom" for future targets.
Orange Box (Moving Average): Traces a 50-period EMA (adjustable) to confirm the trend. An upward slope signals a bullish trend; a downward slope signals a bearish trend. A label shows the current MA value (e.g., "MA: 105000").
Alerts: Triggers when the price nears the projected top or bottom, helping you catch breakouts or retracements.
How to Use
Add the Indicator: Apply "MestreDoFOMO Future Projection Box" to your chart in TradingView.
Interpret the Trend: Check the orange box’s slope—upward for bullish, downward for bearish.
Identify Key Levels: Use the blue box’s top as resistance and bottom as support. On a 4H chart, if the top is 114,000, expect resistance; if the bottom is 102,600, expect support.
Plan Targets: Use the green box for future targets—top for profit-taking (e.g., 114,000), bottom for stop-loss or buying (e.g., 102,600).
Set Alerts: Enable alerts for "Near Upper Projection" or "Near Lower Projection" to get notified when the price hits key levels.
Trade Examples:
Bullish: If the price breaks above the blue box top (e.g., 114,000), buy with a target at the green box top. Set a stop-loss below the green box bottom.
Bearish: If the price rejects at the blue box top and drops below the orange MA, short with a target at the blue box bottom.
Customize: Adjust the lookback period, projection bars, ATR multiplier, and MA length in the settings to fit your trading style.
Tips
Use on 1H for short-term trades, 4H for swing trades, or 1D for long-term trends.
Combine with volume or RSI to confirm signals.
Validate levels with market structure (e.g., candlestick patterns).
