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makemoney-hybridSo this model is little different from moneymaker model in the following : The buy system based on super trend , the sell system =S is based on the volume model of money maker in the example we set 7% take profit for both long or short . you can set it even higher since btc very volatile now in cases where it did not reach the target its made min of 3% each direction So the buy in this system will be in true uptrend . since now the btc is falling more then going up we can make more money on shorts and wait for the longs when they come :) the bullish and bear zone based on super system you need to set correctly your take profit in order to make it to work . the more volatile will be the coin the better will be the results (this is the theory )
Pine Script® indicator
by RafaelZioni
5
RSI / Stoch / SRSI / MFI / Aroon Overlay [SigmaDraconis]Combines 4 popular indicators (RSI, Stoch, SRSI, MFI) and 1 peculiar one (Aroon) in 1 for those who want to save indicators but not only. This is an evolution of my (simpler) "RSI / Stoch / Stoch RSI (SRSI) Overlay " that you can find on my scripts. Added bands for oversold/overbought areas (70/30 common for RSI and 80/20 for SRSI and MFI), as well as a middle 50 horizontal line. Neutral bands around 55-45 added as well that can be hidden for less clutter. I also recommend a more transparent coloring for these since Pine script doesn't allow default transparency for horizontal lines. By default only RSI and Stoch are activated, you can activate Aroon, MFI and SRSI on the inputs window. Some extra notes: * RSI, Stoch and MFI can help to strengthen one's decision as well as Aroon to predict a possible trend reversal, SRSI can show when RSI has high probability of being topped or bottomed when oversold/overbought but don't forget to look at volume and how the trend progresses that can keep SRSI above 80 or below 20 while RSI and price continues to trend, divergences are most helpful here to find possible reversal areas. * This chart depicts some interesting divergences, as well as Stoch tops and bottoms and confluences between RSI/MFI and Stoch on some over-extended tops and bottoms that shown being good reversal zones. RSI resistances are shown as well, failing to break above 60 or the neutral zone (this is a bearish BTC trend chart after all) or failing to gain support to break up certain levels (RSI notes a more bullish trend when consistently above 60 and more bearish below 40). If you like it and use it to profit, please tip me below :) Tip jars: BTC: 15nMBiEGVrdGcu9C1h6QRcTNRvugHkqrMQ ETH: 0xC33845946c48B61fBCbEA0367ec2238CaF2b73bc BTS: sigma-draconis
Pine Script® indicator
by SigmaDraconis
37
Relative Estimated Price REP by KIVANÇ fr3762Relative Estimated Price (REP) Indicator shows the estimated price calculated if the tickerid made the same value changes (in %) during a certain period. The default value of the lookback period is 50. In the given XRPUSD chart you can see that XRPUSD has a value of 0.26480 and the RPC indicator shows the value of 0.38099. This means that XRP would be 0.38099USD if it was fully made the same percentage moves with BTC , we can say that XRP is RELATIVELY cheap according to BTC price moves. Conversely XRP would be RELATIVELY expensive if the last value of REP was lower then current XRP price. users can choose the relative base price in calculation of REP between 1-5 which are: 1=BTCUSD, 2=ETHUSD, 3=EURTRY(Euro/Turkish Lira), 4=USDTRY (Dollar/Turkish Lira), 5=BIST100 (Istanbul Stock Exchange) I personally advise you to use this indicator for daily charts in Tradingview to have more accurate estimated prices because of the website's calculation. Developed by KIVANÇ
Pine Script® indicator
by KivancOzbilgic
7
[NG] Indicator - Altcoin Alpha - v1(Created for Client) Alpha (Unique price action of asset) indicator for ALTcoins implementation, taking `BINANCE:BTCUSDT` as the market reference. Can be improved by adding more BTC charts from more sources, so as to get a unified chart of BTC for market representation. Set `alpha period` to a value, wherein you want to see the unique price action of the asset. For short term trend, a value of 24 is good for `1H` charts (1 day), and value of 168 is good for long term trends on `1H` charts (1 week trend). Corresponding values of `beta period` should be `168` (1 week for 1 day alpha) and `720` (1 month for 1 week alpha period). You can set `alpha` and `beta` period as per your requirements. Regards,
Pine Script® indicator
by NikhilGuptab4
Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat or crypto/crypto - Good for "BTC/USD", "ETH/USD", "ETH/BTC" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto") In the new version 1.8 - The second PriceChannel is added - Profit became more - Losses became less - The unnecessary types of MA are removed
Pine Script® strategy
by ROBO_Trading
Bitcoin momentum correlation This is a pretty simple indicator, it measures the momentum of bitcoin as compared to usd,eur,eth,dash, and ltc, which you can see in all of the blue lines. If the red line is above zero then it means the overall value of btc is going up, opposite for down. The Ema_window controls how smooth the signal is. If you shorten the Ema_window parameter and open this on higher timeframe btc charts then the zero crossing gives pretty solid signals, despite being pretty choppy. A good way to interpret this is that if all the blue lines are moving in the same direction at once without disagreement, then the value of bitcoin has good momentum. Mildly more technically: Momentum is measured in the first derivative of an EMA for each ticker. To normalize the different values against each other they are all divided by their local maximums, which can be chosen in the parameter window, but shouldn't make a huge difference. All the checked values are then summed, as shown in the red line. To include a value into the red line simply keep it checked. Take a look at the script, it's kind of easy on the eyes. It's pretty handy to look at, but doesn't seem too worthwhile to pursue much further. If someone wants much more out of the script then feel free to message me. Remember rules #1 & #2 Don't lose money. Happy trading
Pine Script® indicator
by mcbw_
3
Volume Conversion IndicatorVolume Conversion Indicator The volume conversion indicator is much like the in-built volume indicator. This particular volume indicator allows you to find out how much of something has been traded in a given timeframe. This is done by multiplying volume by the average price at that point. What does this mean? Well, say, for example, you were watching DGB/BTC (DigiByte/Bitcoin). Instead of the volume being displayed in the amount of DGB traded, the amount of BTC traded is displayed instead. Feel free to comment... Hope this helps :D
Pine Script® indicator
by SquishyPea
Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :) STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD. More info: www.investopedia.com Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC). For people trading BTC: ------------------------------- Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)
Pine Script® indicator
by LazyBear
33
CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals 🎯 What It Does: This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles: Change of Character (CHOCH) – A shift in market structure signaling potential reversal Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe). ✅ Key Features: 🔹 Visual Fair Value Gaps Green shaded zones = Bullish FVGs (potential support) Red shaded zones = Bearish FVGs (potential resistance) Toggle on/off in settings 🔹 Smart CHOCH Detection Detects breaks of recent swing highs/lows with proper context Avoids false signals by confirming prior price structure 🔹 Clear Trade Signals Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence) Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence) 🔹 Customizable Filters Option to require FVG for a signal (recommended for higher accuracy) Adjust sensitivity via swing detection settings (default optimized for 30m) 🔹 Alert-Ready Built-in alert conditions for instant notifications on TradingView mobile/desktop ⚙️ How to Use: Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC) Wait for at least 50–100 bars to load (so swing points appear) Look for: A green triangle (▲) → consider long entry near FVG support A red triangle (▼) → consider short entry near FVG resistance Confirm with price action: Wait for a strong candle close or rejection at the FVG zone Use stop-loss below/above the FVG and target recent liquidity pools 💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC). 🛠️ Settings (Inputs): Show Fair Value Gaps ✅ Enabled Visualize FVG zones Max FVG History 100 bars Prevent chart clutter Require FVG for Signal? ✅ Enabled Higher-quality setups (disable to test CHOCH-only) ⚠️ Important Notes: This is a signal generator, not financial advice. Always manage risk. Works best in trending or breaking markets — avoid during low-volatility ranges. FVGs may get filled (tested) before price continues — patience improves results. Backtest on historical data before live trading. 📣 Ideal For: Retail traders learning Smart Money Concepts (SMC) Price action traders seeking institutional-level confluence Intraday scalpers & swing traders on 30m–1H timeframes
Pine Script® indicator
by Spoiltbrat
Risk-On / Risk-Off CompositeReal-time Risk-On / Risk-Off Composite from your four ratios: SPY / TLT (equities vs long bonds) HYG / LQD (high-yield vs IG credit) HG / GOLD (copper vs gold) BTC / GOLD (speculative vs defensive) It: normalizes each ratio with a z-score (so they’re comparable), lets you weight them, plots a composite line + histogram (up = risk-on, down = risk-off), shows a small heat-table for each sub-signal, and includes alert conditions for Risk-On / Risk-Off flips.
Pine Script® indicator
by elliotallan20
Puell Multiple Variants [OperationHeadLessChicken]Overview This script contains three different, but related indicators to visualise Bitcoin miner revenue. The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play: Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this: Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly. Example usage The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example. The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7. The problems: - I have to switch the Puell Multiple to a logarithmic scale - Still, I cannot use a horizontal oversold territory - 5 didn't touch the trendline, despite being a cycle top - 9 touched the trendline despite not being a cycle top Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare: Advantages: - Now you can set a constant overvalued level (12.49 in my case) - 1,3,7 are signaled correctly as cycle tops - 9 is correctly not signaled as a cycle top Caveats: - Now you don't have bottom signals anymore - 5 is still not signaled as cycle top Let's see if we can further improve this: Miner Revenue RSI (blue): On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals. Advantages: - Uses two simple and clear horizontal levels for undervalued and overvalued levels - Signaling 1,3,5,7 correctly as cycle tops - Correctly does not signal 9 as a cycle top - Signaling 4,6,8 correctly as cycle bottoms Caveats: - Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature - In the past, gave some early overvalued signals Usage Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices You can show or hide any of the three indicators individually Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued) Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI Show or hide halving events on the indicator panel All parameters and colours are adjustable
Pine Script® indicator
by OperationHeadLessChicken
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user. The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market. Key Features: Dynamic correlation calculation between Gold and Bitcoin. Adjustable offset in days (default: 107) to fine-tune the temporal shift. Automatic labels and on-chart visualization. Compatible with multiple timeframes and logarithmic scales. Interpretation: Positive correlation suggests synchronized trends between both assets. Negative correlation signals divergence or rotation of liquidity. The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin. Recommended use: For macro-financial and global liquidity cycle analysis. As a complementary tool in cross-asset momentum strategies. © 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles. This script is for educational purposes only and does not constitute financial advice.
Pine Script® indicator
by kmanus88
Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars. Concept in one paragraph Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas. What the model does Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality. Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods: Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional. Spread : price minus ref with a rolling average spread. Good when the relationship is additive. Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts. Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)). Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart. Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak. Visuals : Fair value line on price chart with sigma envelopes. Deviation as a column oscillator and optional line. Threshold shading beyond user-set upper and lower levels. Summary table with reference, deviation, status, correlation, and method. Why this is useful Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target. Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable. Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges. Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods. How to use it step by step Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX. Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero. Select a method : Start with Beta-Adjusted when the relationship is approximately linear with drift. Use Ratio if the assets usually move in proportional terms. Use Spread when they trade around a level difference. Use Z-Score when scales wander or volatility regimes shift. Tune windows : Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier. Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing. Correlation Length controls how co-movement is measured. Keep it near the fair value window. Trade the edges : Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band. Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive. Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used. Reading the display Fair value line on price chart: the model’s estimate of where price should trade given the reference, updated each bar. Sigma bands around fair value: a quick sense of residual volatility. Reversions often target inner bands first. Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance. Correlation line (optional): scale is folded to match thresholds. Higher values increase trust in deviations. Parameter tips Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50. Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers. When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference. If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother. Playbook examples Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma. Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising. Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target. Caveats The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history. Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence. Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap. Bottom line This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.
Pine Script® indicator
by BackQuant
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights. ═══════════════════════════════════════════════ WHAT MAKES THIS INDICATOR SPECIAL? ═══════════════════════════════════════════════ Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart: Exponential Gradient Technology This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength. Dynamic Momentum Intelligence Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states: - 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly) - 🔵 Blue = Weakening bullish (structure intact, but momentum fading) - 🟠 Orange = Caution zone (bearish structure forming, weak momentum) - 🔴 Deep Red = Strong bearish momentum (both MAs falling) The cloud literally tells you when trends are accelerating or losing steam. Conditional Performance Architecture Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system. Zero Repaint Guarantee All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment. Educational by Design Every single input includes comprehensive tooltips with: - Clear explanations of what each parameter does - Practical examples of when to use different settings - Recommended configurations for scalping, day trading, and swing trading - Real-world trading impact ("This affects entry timing" vs "This is visual only") You're not just getting an indicator—you're learning how to use it effectively . ═══════════════════════════════════════════════ THE GRADIENT CLOUD - TECHNICAL DETAILS ═══════════════════════════════════════════════ Architecture: 26 precision layers for silk-smooth transitions Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges 75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%) V-Gradient design - emphasizes the action zone between Fast and Medium MAs The Four Momentum States: 🟢 GREEN - Strong Bullish Fast MA above Medium MA Both MAs rising with momentum > 0.02% Action: Enter/hold LONG positions, strong uptrend confirmed 🔵 BLUE - Weak Bullish Fast MA above Medium MA Weak or flat momentum Action: Caution - bullish structure but losing strength, consider trailing stops 🟠 ORANGE - Weak Bearish Medium MA above Fast MA Weak or flat momentum Action: Warning - bearish structure developing, consider exits 🔴 RED - Strong Bearish Medium MA above Fast MA Both MAs falling with momentum < -0.02% Action: Enter/hold SHORT positions, strong downtrend confirmed Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation. ═══════════════════════════════════════════════ FLEXIBLE MOVING AVERAGE SYSTEM ═══════════════════════════════════════════════ Three Customizable MAs: Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance Six MA Types Available: EMA - Exponential; faster response, ideal for momentum and day trading SMA - Simple; smooth and stable, best for swing trading and trend following WMA - Weighted; middle ground between EMA and SMA VWMA - Volume-weighted; reflects market participation, useful for liquid markets RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters HMA - Hull; extremely responsive with minimal lag, aggressive option Recommended Settings by Trading Style: Scalping (1m-5m): Fast: EMA(5-8) Medium: EMA(10-15) Slow: Not needed or EMA(50) Day Trading (5m-1h): Fast: EMA(10-12) Medium: EMA(20-21) Slow: SMA(200) for bias Swing Trading (4h-1D): Fast: EMA(10-20) Medium: EMA(34-50) Slow: SMA(200) Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs. ═══════════════════════════════════════════════ CROSSOVER SIGNALS - CLEAN & RELIABLE ═══════════════════════════════════════════════ Golden Cross ⬆ LONG Signal Fast MA crosses above Medium MA Classic bullish reversal or trend continuation signal Most reliable when accompanied by GREEN cloud (strong momentum) Death Cross ⬇ SHORT Signal Fast MA crosses below Medium MA Classic bearish reversal or trend continuation signal Most reliable when accompanied by RED cloud (strong momentum) Signal Intelligence: Anti-spam filter - Minimum 5 bars between signals prevents noise Clean labels - Placed precisely at crossover points Alert-ready - Built-in ALERTS for automated trading systems No repainting - Signals based on confirmed bars only Signal Quality Assessment: High-Quality Entry: Golden Cross + GREEN cloud + Price above both MAs = Strong bullish setup ✓ Low-Quality Entry (skip or wait): Golden Cross + ORANGE cloud + Choppy price action = Weak bullish setup, likely whipsaw ✗ ═══════════════════════════════════════════════ REAL-TIME INFO PANEL ═══════════════════════════════════════════════ An at-a-glance dashboard showing: Trend Strength Indicator: Visual display of current momentum state Color-coded header matching cloud color Instant recognition of market bias MA Distance Table: Shows percentage distance of price from each enabled MA: Green rows : Price ABOVE MA (bullish) Red rows : Price BELOW MA (bearish) Gray rows : Price AT MA (rare, decision point) Distance Interpretation: +2% to +5%: Healthy uptrend +5% to +10%: Getting extended, caution +10%+: Overextended, expect pullback -2% to -5%: Testing support -5% to -10%: Oversold zone -10%+: Deep correction or downtrend Customization: 4 corner positions 5 font sizes (Tiny to Huge) Toggle visibility on/off ═══════════════════════════════════════════════ HOW TO USE - PRACTICAL TRADING GUIDE ═══════════════════════════════════════════════ STRATEGY 1: Trend Following Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT Hold position : While cloud maintains color Exit signals : • Cloud turns ORANGE/BLUE = momentum weakening, tighten stops • Opposite crossover = close position • Cloud turns opposite color = full reversal STRATEGY 2: Pullback Entries Confirm trend : GREEN cloud established (bullish bias) Wait for pullback : Price touches or crosses below Fast MA Enter when : Price rebounds back above Fast MA with cloud still GREEN Stop loss : Below Medium MA or recent swing low Target : Previous high or when cloud weakens STRATEGY 3: Momentum Confirmation Your setup triggers : (e.g., chart pattern, support/resistance) Check cloud color : • GREEN = proceed with LONG • RED = proceed with SHORT • BLUE/ORANGE = skip or reduce size Use gradient as confluence : Not as primary signal, but as momentum filter Risk Management Tips: Never enter against the cloud color (don't LONG in RED cloud) Reduce position size during BLUE/ORANGE (transition periods) Place stops beyond Medium MA for swing trades Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends ═══════════════════════════════════════════════ PERFORMANCE & OPTIMIZATION ═══════════════════════════════════════════════ Tested On: Crypto: BTC, ETH, major altcoins Stocks: SPY, AAPL, TSLA, QQQ Forex: EUR/USD, GBP/USD, USD/JPY Indices: S&P 500, NASDAQ, DJI ═══════════════════════════════════════════════ TRANSPARENCY & RELIABILITY ═══════════════════════════════════════════════ Educational Focus: Detailed tooltips on every input Clear documentation of methodology Practical examples in descriptions Teaches you why , not just what Open Logic: Momentum calculation: (Fast slope + Medium slope) / 2 Smoothing: 8-bar EMA to reduce noise Thresholds: ±0.02% for strong momentum classification Everything is transparent and explainable ═══════════════════════════════════════════════ COMPLETE FEATURE LIST ═══════════════════════════════════════════════ Visual Components: 26-layer exponential gradient cloud 3 customizable moving average lines Golden Cross / Death Cross labels Real-time info panel with trend strength MA distance table Calculation Features: 6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA) Momentum-based cloud coloring Smoothed trend strength scoring Conditional performance optimization Customization Options: All MA lengths adjustable All colors customizable (when gradient disabled) Panel position (4 corners) Font sizes (5 options) Toggle any feature on/off Signal Features: Anti-spam filter (configurable gap) Clean, non-overlapping labels Built-in alert conditions No repainting guarantee ═══════════════════════════════════════════════ IMPORTANT DISCLAIMERS ═══════════════════════════════════════════════ This indicator is for educational and informational purposes only Not financial advice - always do your own research Past performance does not guarantee future results Use proper risk management - never risk more than you can afford to lose Test on paper/demo accounts before using with real money Combine with other analysis methods - no single indicator is perfect Works best in trending markets; less effective in choppy/sideways conditions Signals may perform differently in different timeframes and market conditions The indicator uses historical data for MA calculations - allow sufficient lookback period ═══════════════════════════════════════════════ CREDITS & TECHNICAL INFO ═══════════════════════════════════════════════ Version: 2.0 Release: October 2025 Special Thanks: TradingView community for feedback and testing Pine Script documentation for technical reference ═══════════════════════════════════════════════ SUPPORT & UPDATES ═══════════════════════════════════════════════ Found a bug? Comment below with: Ticker symbol Timeframe Screenshot if possible Steps to reproduce Feature requests? I'm always looking to improve! Share your ideas in the comments. Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments. ═══════════════════════════════════════════════ Happy Trading! Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
Pine Script® indicator
by orenluxy
2