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rainbow ema갤럭시님 이평선 토대로 JB가 에디트한 지수이평선 모음입니다. 편집하시면 일반 이평선으로도 사용이 가능합니다. 하나의 지표 추가 만으로 여러개의 지수이평선을 사용하실 수 있고, 제가 자주 사용하는 7,14,21,28,40,60,120,200,300선 넣어 놨습니다. "Galaxy" made, JB edited EMA script. Editing is free for use if you swap ema to ma as a base setting. You can use several ema lines by adding one indicator only, and I put 7,14,21,28,40,60,120,200,300 as a threshold which I frequently use. It is made as an open source at any time possible, so that you are free for playing with it. Gazua!!!!
Indicador Pine Script®
por JB_signal
2
ADX +- DiThis Adx +-Di is just a complete version of what the ADX is supposed to signal. So you have: 15 (contraction), 20 (threshold), 30 (expansion), 40 (resistance) levels. Below 20 the price is not trending Above 30 the price is trending Below 15 price has been in contraction for too long Between 20 and 30 price is in a "transition zone". I finally added a "Resistance" level (40), which has to be adapted to best represent the historical levels where price usually encounters resistance, and where the price can be declared "overtrending", which means a return to lower levels is likely to happen. I've chosen mild colors, and set the Adx Color to White, because I use black background, you can easily change that. Enjoy -Maurice
Indicador Pine Script®
por MauriceEverthin
RSI|The Wave PrincipleThe Wave Principle | Modified RSI 30 green | 70 red = Strong Movement (Possible Impulse) 20 cyan | 80 Yellow = Strongest Movement Support and Resistance Level (Trend Continuation) Uptrend= 40 Downtrend = 60 Break+Retest = BR Div = Divergence (Change in trend) -------------------------------------------- This indicator has been modified from original RSI to fit Wave Principle characteristics: Uptrend Impulsive Wave over 70 RSI it changes color to red, and > 80 yellow stronger impulse | Usually means continuation, at least once more. Downtrend Impulsive Wave under 30 RSI it changes color to green, and < 20 cyan stronger impulse | Usually means continuation, at least once more. Once RSI reached these levels, it doesn't mean trend reversal but a correction is expected. If it shows divergence along with an Ending Diagonal, it's a confirmation for trend reversal. In a corrective wave, levels 40-60 represents support and resistance levels where price won't go further. Indicating Corrective Waves, not as strong as Impulsives. Prices can breakout RSI trend lines and retest from the other side before continue the new trend as also described in the Wave Principle. --------------------------------------------
Indicador Pine Script®
por WavePrinciple-Net
5
breakout and swingA Price Action system that use swing point and breakout above the black line (breakout) is long, below short swing/support/resistance points (blue circles) are displayed after a top or botton, breaking it means an inversion red circles try to guest a target after a top/bottom or after a swing break. the main trend is made by the black line that is set on Day period suitable for 1h to 15m time frame , for small TF you can set a smaller period from setting command By default a set a 40 period channel high/low (the highest and lowest 40 bar back) that is ok for 1 h or smaller tf , but look to long for daily tf, adjust it yourself
Indicador Pine Script®
por MarcoValente
7
Net XMR Margin PositionTotal XMR Longs minus XMR Shorts in order to give you the total outstanding XMR margin debt. ie: If 50,000 XMR has been longed, and 40,000 XMR has been shorted, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 XMR (net) remaining to be sold to give us an overall neutral margin position. That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
Indicador Pine Script®
por Aegist
Net BTC Margin PositionTotal BTCUSDLONGS minus the BTCUSDSHORTS in order to give you the total outstanding BTC margin debt. ie: If there are 50,000 BTC longs, and 40,000 BTC shorts, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 BTC net remaining to be sold to give us an overall neutral margin position. That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances. (Anyone know what category this script should be in?)
Indicador Pine Script®
por Aegist
Accumulation/Distribution Percentage (ADP) [Cyrus c|:D]Accumulation/Distribution Percentage ( ADP ) is used to measure money flow similar to Chaikin Money Flow ( CMF ) and Money Flow. It is the range-bound version of my previous indicator ADMF. This indicator can be used for analyzing momentum, buy/sell pressure, and overbought/oversold conditions. I believe that this indicator is more accurate than CMF and MFI (I will publish a TA about it one day!). What to look for: - When this indicator moves up, it means buy pressure is increasing and the other way around for sell pressure. Crossing 0 means that trend has changed in the given period (it is best to look for confirmation of buy/sell pressure in larger TFs) - Overbought above 40 and oversold below -40 (these numbers vary depending on the security. Look for historical levels to determine overbought and oversold conditions of each security) - Regular divergence shows that momentum of a trend is declining. Hidden divergence implies continuation of a trend. The non-bound mode should be more accurate for identifying divergence. - Failure swings can detect potential reversals. Please read Relative Strength Index and Money Flow for more information and similar disclaimers. Recommendations: - hlc3 (AKA typical price) as input source might be better than "close" as it captures more information. If you use hlc3 as a source, then change the chart type to line and set hlc3 as the source for identifying divergence. - Use hybrid tickers e.g.(BITFINEX:BTCUSD+COINBASE:BTCUSD+BITSTAMP:BTCUSD)/3. Volume-based indicators are susceptible to wash trading/volume printing and hybrid tickers mitigate this issue. - In non-bound mode, small TFs with longer length should be more accurate than larger TFs with standard length (same is true for many other indicators) Background: I have developed 4 indicators based on a simple but elegant concept of A/D ratio. A/D ratio is equal to (current close - previous close)/True Range (when there are no price gaps, True Range = High - Low) 1) What you see on ADV indicator as darker green and red is equal to A/D ratio x volume. 2) ADL indicator shows the summation of ADV 3) ADMF (or ADP in non-bound mode) shows Moving Average of ADV 4) ADP shows relative accumulation strength which is calculated as RMA (accumulations)/RMA(accumulation + distribution). ADP equation is based on RSI equation which is RMA(gains)/RMA(gains + losses). That is why these two indicators look quite similar. PS: Please leave a like if you find these indicators useful. I am working on improvements on these and other indicators. I am trying my best to keep them as simple as possible. Please let me know in the comments if you want me to make future indicators even simpler. -------- Complementary indicators based on the same concept: ADL: a replacement for Chaikin's Accum/Dist, On Balance Volume, and Price Volume Trend ADV: a replacement for regular volume indicator ADP also has a scaled RSI and ADMF built in (ie ADMF is obsolete).
Indicador Pine Script®
por cI8DH
28
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle. The cycles are determined using the RSI as follows: if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral a neutral cycle is exited at either overbought or oversold conditions Very useful, please give it a try and let me know what you think
Indicador Pine Script®
por TradeCalmly
20
Volume Range EventsChanges in the feelings (positive, negative, neutral) in the market concerning the valuation of an instrument are often preceded with sudden outbursts of buying and selling frenzies. The aim of this indicator is to report such outbursts. We can see them as expansions of volume, sometimes 10 times more than usual. and as extensions of the trading range, also sometimes 10 times more than usual (e.g. usual range is 10 cent suddenly a whole dollar.) The changes are calculated in such a way that these fit between plus and minus 100 percent, the bars are scaled in some sort of logarithmic way. The Emoline is the same as the one in the True Balance of Power indicator, which I already published ONLY RISES ARE EVENTS Sometimes analysts are tempted to give meaning to low volume or small ranges. These simply mean that the market has little interest in trading this instrument. I believe that in such cases the trader needs to wait for expansion and extension events to happen, then he can make a better guess of where the market is heading. As events often mark the beginning or ending of a trend, this indicator provides an early and clear signal, because it doesn’t bother us about non-events. WHAT IS USUAL? If the algorithm would use an average as a normal to scale volume or range events, then previous peaks will act as spoilers by making the average so high that a following peak is scaled too small. I developed a function, usual() , that kicks out all extremes of a ‘population of values’ and which returns the average of the non-extreme values. It can be called with any serial. This function is called by both algorithms that report volume and range peaks, which guarantees that the results are really comparable. As this function has a fixed look back of 8 periods, we might state that ‘usual’ is a short lived relative value. I think this doesn’t matter for the practical use of the indicator. COLORING AND INTERPRETATION I follow the categories in the ‘Better Volume Indicator’, published by LeazyBear, these are: 1. Climactic Volumes, event >40 % (this means peak is 1.5 X usual) LIME: Climax Buying Volume, direction up, range event also > 30 % RED: Climax Selling Volume, direction down, range event also > 30 % AQUA: Climax Churning Volume, both directions, range event < 30% 2. Smaller Volumes, event <40 % GREEN: Supportive Volume, both directions, if combined with range event BLUE: Churning Volume, both directions, if not combined with range event (Professional Trading) 3. Just Range Events BLACK histogram bars (Amateurish Trading)
Indicador Pine Script®
por eykpunter
7
Hash Momentum Strategy# Hash Momentum Strategy ## 📊 Overview The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios. --- ## ⚡ What Makes This Strategy Unique ### 1. Momentum-Based Entry System Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened. ### 2. Programmable Risk-to-Reward Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations. ### 3. Smart Partial Profit Taking Lock in profits at multiple stages: - **First TP**: Take 50% off at 2R - **Second TP**: Take 40% off at 2.5R - **Final TP**: Let 10% ride to maximum target This approach locks in gains while letting winners run. ### 4. Dynamic Momentum Threshold Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold. ### 5. Trade Cooldown System Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars. ### 6. Optional Session & Weekend Filters Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods. --- ## 🎯 How It Works ### Signal Generation **STEP 1: Calculate Momentum** - Momentum = Current Price - Price - Check if Momentum > ATR × Threshold Multiplier - Momentum must be accelerating (positive change in momentum) **STEP 2: Confirm with EMA Trend Filter** - Long: Price must be above EMA - Short: Price must be below EMA **STEP 3: Check Filters** - Not in cooldown period - Valid session (if enabled) - Not weekend (if enabled) **STEP 4: ENTRY SIGNAL TRIGGERED** ### Risk Management Example **Example Long Trade:** - Entry: $100 - Stop Loss: $97.80 (2.2% risk) - Risk Amount: $2.20 **Take Profit Levels:** - TP1: $104.40 (2R = $4.40) → Close 50% - TP2: $105.50 (2.5R = $5.50) → Close 40% - Final: $105.50 (2.5R) → Close remaining 10% --- ## ⚙️ Settings Guide ### Core Strategy **Momentum Length** (Default: 13) Number of bars for momentum calculation. Higher = stronger but fewer signals. **Momentum Threshold** (Default: 2.25) ATR multiplier. Higher = only trade biggest moves. **Use EMA Trend Filter** (Default: ON) Only long above EMA, short below EMA. **EMA Length** (Default: 28) Period for trend-confirming EMA. ### Filters **Use Trading Session Filter** (Default: OFF) Restrict trading to specific sessions. **Tokyo Session** (Default: OFF) Trade during Asian hours (00:00-09:00 JST). **London Session** (Default: OFF) Trade during European hours (08:00-17:00 GMT). **New York Session** (Default: OFF) Trade during US hours (08:00-17:00 EST). **Weekend Off** (Default: OFF) Disable trading on Saturdays and Sundays. ### Risk Management **Stop Loss %** (Default: 2.2) Fixed percentage stop loss from entry. **Risk:Reward Ratio** (Default: 2.5) Your target reward as multiple of risk. **Use Partial Profit Taking** (Default: ON) Take profits in stages. **First TP R:R** (Default: 2.0) First target as multiple of risk. **First TP Size %** (Default: 50) Percentage of position to close at TP1. **Second TP R:R** (Default: 2.5) Second target as multiple of risk. **Second TP Size %** (Default: 40) Percentage of position to close at TP2. ### Trade Management **Use Trade Cooldown** (Default: ON) Prevent overtrading. **Cooldown Bars** (Default: 6) Bars to wait after closing a trade. --- ## 🎨 Visual Elements ### Chart Indicators 🟢 **Green Dot** (below bar) = Long entry signal 🔴 **Red Dot** (above bar) = Short entry signal 🔵 **Blue X** (above bar) = Long position closed 🟠 **Orange X** (below bar) = Short position closed **EMA Line** = Trend direction (green when bullish, red when bearish) **White Line** = Entry price **Red Line** = Stop loss level **Green Lines** = Take profit levels (TP1, TP2, Final) ### Dashboard When not in real-time mode, a dashboard displays: - Current position (LONG/SHORT/FLAT) - Entry price - Stop loss price - Take profit price - R:R ratio - Current momentum strength - Total trades - Win rate - Net profit % --- ## 📈 Recommended Settings by Timeframe ### 1-Hour Timeframe (Default) - Momentum Length: 13 - Momentum Threshold: 2.25 - EMA Length: 28 - Stop Loss: 2.2% - R:R Ratio: 2.5 - Cooldown: 6 bars ### 4-Hour Timeframe - Momentum Length: 24-36 - Momentum Threshold: 2.5 - EMA Length: 50 - Stop Loss: 3-4% - R:R Ratio: 2.0-2.5 - Cooldown: 6-8 bars ### 15-Minute Timeframe - Momentum Length: 8-10 - Momentum Threshold: 2.0 - EMA Length: 20 - Stop Loss: 1.5-2% - R:R Ratio: 2.0 - Cooldown: 4-6 bars --- ## 🔧 Optimization Tips ### Want More Trades? - Decrease Momentum Threshold (2.0 instead of 2.25) - Decrease Momentum Length (10 instead of 13) - Decrease Cooldown Bars (4 instead of 6) ### Want Higher Quality Trades? - Increase Momentum Threshold (2.5-3.0) - Increase Momentum Length (18-24) - Increase Cooldown Bars (8-10) ### Want Lower Drawdown? - Increase Cooldown Bars - Use tighter stop loss - Enable session filters (trade only high-liquidity sessions) - Enable Weekend Off ### Want Higher Win Rate? - Increase R:R Ratio (may reduce total profit) - Increase Momentum Threshold (fewer but stronger signals) - Use longer EMA for trend confirmation --- ## 📊 Performance Expectations Based on typical backtesting results: - **Win Rate**: 35-45% - **Profit Factor**: 1.5-2.0 - **Risk:Reward**: 1:2.5 (configurable) - **Max Drawdown**: 10-20% - **Trades/Month**: 8-15 (1H timeframe) **Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity. --- ## 🎓 Strategy Logic Explained ### Why Momentum > EMA Crossover? **EMA Crossover Problems:** - Signals lag behind price - Late entries = poor R:R - Many false signals in ranging markets **Momentum Advantages:** - Catches moves as they start accelerating - Earlier entries = better R:R - Adapts to volatility via ATR ### Why Partial Profit Taking? **Without Partial TPs:** - All-or-nothing approach - Winners often turn to losers - High stress watching open positions **With Partial TPs:** - Lock in 50% at first target - Reduce risk to breakeven - Let remainder ride for bigger gains - Lower psychological pressure ### Why Trade Cooldown? **Without Cooldown:** - Revenge trading after losses - Overtrading in choppy markets - Emotional decision-making **With Cooldown:** - Forces discipline - Waits for new setup to develop - Reduces transaction costs - Better signal quality --- ## ⚠️ Important Notes 1. **This is a momentum strategy, not an EMA strategy** The EMA only confirms trend direction. Momentum generates the actual signals. 2. **Backtest thoroughly before live trading** Past performance ≠ future results. Test on your specific asset and timeframe. 3. **Use proper position sizing** Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties). 4. **Dashboard auto-hides in real-time** Clean chart for live trading. Visible during backtesting. 5. **Customize for your trading style** All settings are fully adjustable. No single "best" configuration. --- ## 🚀 Quick Start Guide 1. **Add to Chart**: Apply to your preferred asset and timeframe 2. **Keep Defaults**: Start with default settings 3. **Backtest**: Review historical performance 4. **Paper Trade**: Test with simulated money first 5. **Go Live**: Start small and scale up --- ## 💡 Pro Tips **Tip 1: Combine Timeframes** Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries. **Tip 2: Avoid News Events** Major news can cause whipsaws. Consider manual intervention during high-impact events. **Tip 3: Monitor Momentum Strength** Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum. **Tip 4: Adjust for Volatility** In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them. **Tip 5: Review Losing Trades** Check if losses are hitting stop loss or reversing. Adjust stop accordingly. --- ## 📝 Changelog **v1.0** - Initial Release - Momentum-based signal generation - EMA trend filter - Programmable R:R ratio - Partial profit taking (3 stages) - Trade cooldown system - Session filters (Tokyo/London/New York) - Weekend off toggle - Smart dashboard (auto-hides in real-time) - Clean visual design --- ## 🙏 Credits Developed by **Hash Capital Research** If you find this strategy useful, please give it a like and share with others! --- ## ⚖️ Disclaimer This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading. --- ## 📬 Feedback Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback. --- **Happy Trading! 🚀📈**
Estratégia Pine Script®
por Hash_Capital
Breakouts & Pullbacks [Trendoscope®]🎲 Breakouts & Pullbacks - All-Time High Breakout Analyzer Probability-Based Post-Breakout Behavior Statistics | Real-Time Pullback & Runup Tracker A professional-grade Pine Script v6 indicator designed specifically for analyzing the historical and real-time behavior of price after strong All-Time High (ATH) breakouts. It automatically detects significant ATH breakouts (with configurable minimum gap), measures the depth and duration of pullbacks, the speed of recovery, and the subsequent run-up strength — then turns all this data into easy-to-read statistical probabilities and percentile ranks. Perfect for swing traders, breakout traders, and anyone who wants objective, data-driven insight into questions like: “How deep do pullbacks usually get after a strong ATH breakout?” “How many bars does it typically take to recover the breakout level?” “What is the median run-up after recovery?” “Where is the current pullback or run-up relative to historical ones?” 🎲 Core Concept & Methodology Indicator is more suitable for indices or index ETFs that generally trade in all-time highs however subjected to regular pullbacks, recovery and runups. For every qualified ATH breakout, the script identifies 4 distinct phases: Breakout Point – The exact bar where price closes above the previous ATH after at least Minimum Gap bars. Pullback Phase – From breakout candle high → lowest low before price recovers back above the breakout level. Recovery Phase – From the pullback low → the bar where price first trades back above the original breakout price. Post-Recovery Run-up Phase – From the recovery point → current price (or highest high achieved so far). Each completed cycle is stored permanently and used to build a growing statistical database unique to the loaded chart and timeframe. 🎲 Visual Elements Yellow polyline triangle connecting Previous ATH / Pullback point(start), New ATH Breakout point (end), Recovery point (lowest pullback price), and extends to recent ATH price. Small green label at the pullback low showing detailed tooltip on hover with all measured values Clean, color-coded statistics table in the top-right corner (visible only on the last bar) Powerful Statistics Table – The Heart of the Indicator The table constantly compares the current situation against all past qualified breakouts and shows details about pullbacks, and runups that help us calculate the probability of next pullback, recovery or runup. 🎲 Settings & Inputs Minimum Gap The minimum number of bars that must pass between breaking a new ATH and the previous one. Higher values = stricter filter → only the strongest, cleanest breakouts are counted. Lower values = more data points (useful on lower timeframes or very trending instruments). Recommendation: Daily charts: 30–50 4H charts: 40–80 1H charts: 100–200 🎲 How to Use It in Practice This indicator helps investors to understand when to be bullish, bearish or cautious and anticipate regular pullbacks, recovery of markets using quantitative methods. The indicator does not generate buy/sell signals. However, helps traders set expectations and anticipate market movements based on past behavior.
Indicador Pine Script®
por Trendoscope
6
MAGS ETF – Daily Chart Breakdown & Price Forecast📈 MAGS ETF – Daily Chart Breakdown & Price Forecast Timeframe: 1D MAGS is currently trading at $63.54, down -1.87% on the day. The chart shows a potential distribution structure forming after a strong prior uptrend. 🔍 Technical Highlights: RSI Divergence (14 Close): The RSI is at 40.14, trending lower after multiple bearish divergences. These signals typically warn of a momentum breakdown after an extended uptrend. Structure Overview: After a sharp move up, price action entered a ranging zone, marked by multiple lower highs and support retests. The current projection shows a possible head and shoulders or complex corrective structure forming. Support Zone: Critical support rests around $60.00–$61.00, marked by horizontal and dynamic levels. A breakdown from here could send prices lower toward the mid-$50s. Bullish Reversal Zone: If support holds, the projected wave count shows a potential rebound leg that may revisit previous resistance levels in the $68–$70 range. 🧠 Market Interpretation: This chart suggests MAGS may be transitioning from an impulsive bullish phase to a corrective consolidation. While short-term bearish pressure is visible, a confirmed bounce from support could spark a recovery rally. Keep an eye on RSI behavior near the 40 level a sharp bullish divergence could flip the short-term outlook. 📉 Current bias: Neutral to Bearish (watch support) 📈 Upside target on reversal: $68–$70 ⚠️ Breakdown trigger: Below $60 support zone ⚠️ Disclaimer: This is general information only and not financial advice. Always do your own research or consult a licensed professional before making any trading decisions.
Indicador Pine Script®
por Tomerrevaya
OSOM TrendHow to Use the OSOM Trend Indicator The OSOM Trend indicator is designed for use on TradingView charts. It provides trend identification, entry/exit signals, breakout detection, volume analysis, and market state insights. Below is a step-by-step guide to setting it up and using it effectively. 1. Adding the Indicator to Your Chart Open TradingView (tradingview.com) and load a chart for your desired asset (e.g., stock, crypto, forex). Click the "Indicators" button at the top of the chart. Search for "OSOM Trend" (if it's a community script, you may need to paste the Pine Script code into the Pine Editor). To add via Pine Editor: Click the Pine Editor tab at the bottom. Paste the provided code (from //@version=6 to the end). Click "Save" and name it (e.g., "OSOM Trend"). Click "Add to Chart". The indicator will overlay on your chart with default settings. 2. Configuring Inputs Once added, click the gear icon next to the indicator name in the chart legend to open settings. Inputs are grouped for ease: OSOM WV Settings: Adjust trend length (default 14 for sensitivity), smoothing (7), band width (0.8 ATR multiplier), ATR length (10). Toggle fast mode for minimal lag, signals, forecast, take-profits, and re-entries. Breakout Boxes Settings: Set pivot length (5), box widths (0.5 upper/lower via sliders), and colors. MMB Settings: Volume lookback (200), EMA smoothing (10). PVSRA Settings: Length (10), multipliers for climax/rising volumes (2.0/1.5). Optional symbol override (e.g., for aggregated BTC data). Vector Candle Zones: Toggle on/off, max zones (500), zone type (body/wicks), transparency (90). CVD Settings: Toggle long/short MAs (55/34 EMA), multipliers (1.5), lengths (40). Enable higher TF, volume integration, dynamic clouds, bar coloring, and status table. Start with defaults for most assets; reduce lengths for lower timeframes (e.g., 1m-15m) to increase responsiveness, or increase for higher TFs (e.g., daily) for smoother trends. Visual tweaks: Choose label size (small to reduce clutter), colors, and mode (Cloud for channels, Line Only for simplicity). 3. Interpreting the Visuals and Signals Trend Line and Bands/Cloud: Green (bullish) when price > upper band; red (bearish) when < lower band; gray (neutral). Cloud mode shows a filled channel; use for range visualization. Single Band highlights the active support/resistance. Buy/Sell Signals: Up arrow (↑) labels for buys (price crosses over upper band); down arrow (↓) for sells (crosses under lower band). If forecast enabled, labels show "count/avg" (e.g., "↑ 5/10") – current trend bars vs. smoothed historical average. Take-profit: "✖" labels when overextended (Z-score > threshold, RSI EMA slope reversal). Re-entries: "↻" labels on wick touches during trends (with cooldown to avoid spam). Breakout Boxes: Pink upper boxes (resistance) and green lower boxes (support) around pivots. Boxes display total volume and buy/sell % breakdown. Breakout signals: "BreakUp ⯁" or "BreakDn ⯁" labels/alerts when price crosses box edges – use for momentum trades. MMB (Market Maker Build): Green crosses below bars: Building long (accumulation). Red crosses above: Building short. Green X above: Closing long (distribution). Red X below: Closing short. Watch for clusters near support/resistance for institutional activity. PVSRA Candle Coloring: Overrides bar colors: Green/lime (bull climax), red (bear climax), blue (bull rising), violet/fuchsia (bear rising), gray (normal). Vector zones (translucent boxes) highlight high-volume areas as potential S/R. CVD (Cumulative Volume Delta): Bar colors: Blue (uptrend), red (downtrend) based on CVD vs. MAs. Status table (top-right): Checkmarks for Long/Short/Test/Sideways states. Long: CVD above both MAs (bullish confirmation). Short: Below both (bearish). Test: Near clouds (potential reversal). Sideways: Within parallels (range-bound). 4. Trading Strategies Trend Following: Enter long on buy signals in green trends; short on sell in red. Exit on opposite signals or take-profits. Use forecast for expected duration. Breakouts: Trade breakups from upper boxes (long) or breakdowns from lower (short). Confirm with volume % (e.g., high buy volume in upper box suggests strong breakout). Volume Confirmation: Align with MMB builds/closes and PVSRA climaxes for high-conviction entries. Avoid trades in sideways CVD states. Filters: Use RSI EMA slope in take-profits for overbought/oversold avoidance. Higher TF CVD for broader context. Timeframes: Versatile – scalping (1m-5m with fast mode), swing (1h-4h), position (daily+). Test on historical data. Risk Management: Set stops below lower band (longs) or above upper (shorts). Size positions based on ATR. 5. Alerts and Automation Set alerts via TradingView: Right-click chart > Add Alert > Condition (e.g., "Buy Signal" or "BreakUp"). Supported alerts: Buy/Sell, Take-Profit, BreakUp/Dn, MMB crosses, Vector patterns, CVD Long/Short entries. For scripting: Use alertcondition() calls in the code for custom notifications. 6. Tips and Best Practices Asset Suitability: Best on volume-rich assets (e.g., BTC/USD, stocks). For low-volume, disable CVD/MMB or use overrides. Performance: On busy charts, reduce max counts (labels/boxes) to avoid lag. Test fast mode for real-time trading. Backtesting: Use TradingView's replay or strategy tester (convert to strategy script by adding strategy() functions). Limitations: Not a standalone system – combine with fundamentals/news. Higher TF data may delay updates. Customization: Experiment with inputs; e.g., tighten bands (lower multiplier) for volatile markets. This indicator excels in providing multi-layered confirmation, reducing false signals through volume integration. Always practice on demo accounts before live trading.
Indicador Pine Script®
por OSOM_
Moving Average StrategyMA Crossover Strategy - Smarter Entries, Cleaner Trends This strategy is built around moving averages, but with added flexibility so you can trade the way that feels right for you. Whether you prefer quick crossovers or want full candle confirmation before entering, this setup adjusts to your style. What This Strategy Does It looks at how price interacts with a moving average (MA) and lets you choose how strict you want your entries to be. Multiple Moving Averages to Choose From Pick the MA type that suits your trading personality: SMA – Simple and classic EMA – Smooth and responsive (default) WMA – Gives more weight to recent data HMA – Super smooth with less lag VWMA – Considers volume RMA – Stable and less jumpy Two Ways to Enter Trades 1. Crossover Mode (Fast & Responsive) Enter the moment price crosses the MA: Long: Price crosses above Short: Price crosses below Quick entries - ideal when markets are trending well. 2. Full Candle Confirmation (More Accurate, Less Noise) Instead of rushing in, you wait for the entire candle to confirm: Long: Candle OHLC - all above MA Short: Entire candle stays below MA This reduces false breakouts and whipsaws, especially in choppy markets. Optional Trend Filter (Trade With the Larger Trend) You can add a second, longer MA to make sure you’re trading with the bigger trend. Long trades only: When short MA > long MA Short trades only: When short MA < long MA Turn it on when the market gets noisy. Turn it off when price is clean and trending. Fully Customizable Settings Main MA: 40 EMA (default) Trend Filter MA: 70 EMA Enable/disable long or short trades Enable/disable Trend Filter Switch MA lengths & types anytime Choose between crossover or confirmed candles It adapts to intraday, swing, or positional trading. Clean Exit Rules All trades exit when an opposite crossover happens. Simple. Rule-based. Zero overthinking. Visual Clarity Built-In Main MA turns green when price is above Turns red when price is below Trend filter MA appears in blue when active Your chart becomes easier to read at a glance. Best Used In: Trending markets Swing or positional setups When you want cleaner signals and fewer fake breakouts Full candle confirmation helps especially during sideways periods. The Logic Behind the Strategy It blends classic price–MA crossovers with extra optional filters so you get: Faster entries when you want them Stronger confirmation when you need safety Trend alignment for higher probability trades In simple words: You catch big moves while avoiding unnecessary noise.
Estratégia Pine Script®
por ravi_matrix
NASDAQ 5MIN — 8×13 EMA + VWAP Pro Setup (2025)NASDAQ 5MIN — 8×13 EMA + VWAP Pro Setup (2025 Funded Trader Edition) by ASALEH2297 The exact same 5-minute Nasdaq scalping system that multiple 6- and 7-figure funded accounts are running live in 2025 – now public. 100 % mechanical, zero repaint, zero guesswork. Core Rules (executed instantly when the arrow prints): • 8 EMA crosses 13 EMA • Must be on the correct side of daily VWAP AND sloping 34 EMA • Price closed beyond the 34 EMA • High-confidence filter = price well away from VWAP + fast 8 EMA trending + volume spike → massive bright “3↑ / 3↓” arrow (load full size) • Normal confidence = small arrow (normal or half size) Key Features: • Automatic dynamic swing stops plotted in real-time (6-point buffer beyond prior 10-bar extreme – the exact 2025 NQ stop method) • Clean, impossible-to-miss arrows (huge bright for Conf 3, small for regular) • Built-in alert conditions so “LONG (Conf 3)” and “SHORT (Conf 3)” appear instantly in mobile/desktop alerts • Works perfectly on NQ1! (full) and MNQ1! (micro) 5-minute charts • Best sessions: 09:30–11:30 ET and 14:00–16:00 ET How to trade it: 1. Big 3-arrow appears on closed bar → market order in 2. Stop = red dashed line (already drawn) 3. Scale out 50 % at +40 pts NQ / +20 pts MNQ, move rest to breakeven, trail with 13 EMA Pine Script v6 – zero errors, zero warnings. Used daily on live funded desks. Add it, set the two Conf-3 alerts, and let the phone scream only when the real money prints. “When the 3↑ hits… the bag follows.” — ASALEH2297
Indicador Pine Script®
por asaleh2297
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate. Below, I show you a simple bullish trend-following system with clear execution rules: System Rules -Long entries when the 50-period EMA crosses above the 200-period EMA. -Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA. Risk Management -Initial capital: $10,000 -Position size: 10% of capital per trade -Commissions: 0.1% per trade Important Note: In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility. Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly. Practical example: Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%): 23.57% − 15% = 8.57% Now suppose we normally use $200 per trade. To calculate 8.57% of $200: 200 × (8.57 / 100) = $17.14 Then subtract that amount from the original position size: $200 − $17.14 = $182.86 In summary: If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings. I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account. About the code: Strategy declaration: The strategy is named 'Golden Cross 50/200 EMA'. overlay=true means it will be drawn directly on the price chart. initial_capital=10000 sets the initial capital to $10,000. default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity. margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required). commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade. Indicators: Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200). Crossover detection: bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross). bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross). Recent swing: swingLow calculates the lowest low of the previous 15 periods. Stop Loss: entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs. Entry and exit conditions: Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened. Exit on opposite signal: When a bearCross occurs, the long position is closed. Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed. Visualization: Both EMAs are plotted (50-period in blue, 200-period in red). Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross. A horizontal orange line is drawn that shows the stop loss level whenever a position is open. Alerts: Alerts are created for:Long entry Exit on bearish crossover (Death Cross) Exit triggered by stop loss Favorable Conditions: Tesla (45-minute timeframe) June 29, 2010 – November 17, 2025 Total net profit: $12,458.73 or +124.59% Maximum drawdown: $1,210.40 or 8.29% Total trades: 107 Winning trades: 27.10% (29/107) Profit factor: 3.141 Tesla (1-hour timeframe) June 29, 2010 – November 17, 2025 Total net profit: $7,681.83 or +76.82% Maximum drawdown: $993.36 or 7.30% Total trades: 75 Winning trades: 29.33% (22/75) Profit factor: 3.157 Netflix (45-minute timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,380.73 or +113.81% Maximum drawdown: $699.45 or 5.98% Total trades: 134 Winning trades: 36.57% (49/134) Profit factor: 2.885 Netflix (1-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,689.05 or +116.89% Maximum drawdown: $844.55 or 7.24% Total trades: 107 Winning trades: 37.38% (40/107) Profit factor: 2.915 Netflix (2-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $12,807.71 or +128.10% Maximum drawdown: $866.52 or 6.03% Total trades: 56 Winning trades: 41.07% (23/56) Profit factor: 3.891 Meta (45-minute timeframe) May 18, 2012 – November 17, 2025 Total net profit: $2,370.02 or +23.70% Maximum drawdown: $365.27 or 3.50% Total trades: 83 Winning trades: 31.33% (26/83) Profit factor: 2.419 Apple (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,232.55 or +80.59% Maximum drawdown: $581.11 or 3.16% Total trades: 140 Winning trades: 34.29% (48/140) Profit factor: 3.009 Apple (1-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $9,685.89 or +94.93% Maximum drawdown: $374.69 or 2.26% Total trades: 118 Winning trades: 35.59% (42/118) Profit factor: 3.463 Apple (2-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,001.28 or +77.99% Maximum drawdown: $755.84 or 7.56% Total trades: 67 Winning trades: 41.79% (28/67) Profit factor: 3.825 NVDA (15-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $11,828.56 or +118.29% Maximum drawdown: $1,275.43 or 8.06% Total trades: 466 Winning trades: 28.11% (131/466) Profit factor: 2.033 NVDA (30-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $12,203.21 or +122.03% Maximum drawdown: $1,661.86 or 10.35% Total trades: 245 Winning trades: 28.98% (71/245) Profit factor: 2.291 NVDA (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $16,793.48 or +167.93% Maximum drawdown: $1,458.81 or 8.40% Total trades: 172 Winning trades: 33.14% (57/172) Profit factor: 2.927
Estratégia Pine Script®
por Especulador96
6
DCA Bot v7 - Cryptosa Nostra 1.0Technical Overview: Adaptive RSI DCA Bot This is a sophisticated DCA (Dollar Cost Averaging) indicator designed for accumulating assets and managing portfolio distribution. It does not trade on simple RSI crosses. Instead, it combines multi-zone RSI analysis with ATR-based volatility triggers to execute staggered, dynamically-sized trades. Its core feature is a "learning" engine that adapts its own settings over time. This "brain" can be trained on historical data and then applied to your real-time portfolio holdings via a "Live Override" feature. Core Logic: How It Works A trade is only executed when two conditions are met simultaneously: The RSI Condition: The RSI must be inside one of the four pre-defined zones. The Price Condition: The price must cross a "trigger line" (the green or red line) that is dynamically calculated based on volatility. 1. The Four RSI Zones This script uses four distinct zones to determine the intent to trade: Deep Buy Zone (Default: RSI <= 35 & Downtrend): This is the primary "value" buy signal. It only activates if the RSI is deeply oversold and the price is below the 200-period Trend MA. Reload Buy Zone (Default: RSI 40-50 & Uptrend): This is a "buy the dip" signal. It looks for minor pullbacks during an established uptrend (price above the 200-period Trend MA). Profit-Taking Zone (Default: RSI 70-80): Triggers a standard, small sell when the market is overbought. Euphoria Zone (Default: RSI >= 80): Triggers a larger, more aggressive sell during extreme "blow-off" tops. 2. Dynamic Trade Sizing The amount to buy or sell is not fixed. It scales dynamically based on how high or low the RSI is: Buy Sizing: Spends a higher percentage of available cash when RSI is at its lowest (e.g., 35) and a smaller percentage when it's at the top of the reload zone (e.g., 50). Sell Sizing: Sells a smaller percentage of holdings when RSI just enters the overbought zone (e.g., 70) and a much larger percentage when it's in the euphoria zone (e.g., 80+). 3. The "Adaptive Brain" (ATR Multipliers) This is the script's learning mechanism. The green/red trigger lines are calculated as: Last Trade Price +/- (ATR * Multiplier). This "Multiplier" is the brain. It adapts based on trade performance. After a successful trade (as defined by profit_target_multiplier), the bot gets more confident and reduces the multiplier. This places the next trigger line closer to the price, making it more aggressive. After a losing trade (as defined by loss_limit_multiplier), the bot gets more cautious and increases the multiplier. This places the next trigger line further away, making it more patient. How to Use This Indicator This script is designed to be "trained" on historical data to provide relevant signals for today. To Train the Brain: In the settings, go to "1. Backtest Settings". Set the "Start Date (For Learning)" to a date in the past (e.g., 6 months or 1 year ago). The script will run a simulation from that date, allowing its Adaptive Multipliers (the "brain") to adjust to the market's volatility. To See Live Signals: In "2. Live Portfolio Override", check the box "Override Backtest Balance?" and enter your real current coin and USD holdings. Result: The "Live Status" table (top-right) will now display signals from the trained brain but will calculate the "Potential Buy %" and "Potential Sell %" based on your real portfolio. The "Buy Multi" and "Sell Multi" fields show you the brain's current learned values.
Indicador Pine Script®
por Ventrelli12
ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale//@version=5 indicator("ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale", overlay = true, scale = scale.right, // ⭐ 强制使用右侧价格刻度 precision = 2) // ——— 参数 ——— src = input.source(close, "Source") emaLength = input.int(34, "EMA Length") atrLength = input.int(13, "ATR Length") atrMult1 = input.float(1.0, "ATR ×1") atrMult2 = input.float(2.0, "ATR ×2") atrMult3 = input.float(3.0, "ATR ×3") // ——— 计算 ——— ema = ta.ema(src, emaLength) atr = ta.atr(atrLength) // 上下轨 upper1 = ema + atr * atrMult1 upper2 = ema + atr * atrMult2 upper3 = ema + atr * atrMult3 lower1 = ema - atr * atrMult1 lower2 = ema - atr * atrMult2 lower3 = ema - atr * atrMult3 // ——— 绘图 ——— plot(ema, "EMA", color = color.white, linewidth = 2) plot(upper1, "Upper 1×ATR", color = color.new(color.green, 0)) plot(upper2, "Upper 2×ATR", color = color.new(color.green, 30)) plot(upper3, "Upper 3×ATR", color = color.new(color.green, 60)) plot(lower1, "Lower 1×ATR", color = color.new(color.red, 0)) plot(lower2, "Lower 2×ATR", color = color.new(color.red, 30)) plot(lower3, "Lower 3×ATR", color = color.new(color.red, 60)) // ——— 可选：在当前 K 线上标记数值，方便你肉眼对比 ——— showDebug = input.bool(false, "Show Debug Labels (for checking value vs position)") if showDebug var label lb = na if barstate.islast label.delete(lb) txt = "EMA: " + str.tostring(ema, format.mintick) + "\n" + "U1: " + str.tostring(upper1, format.mintick) + "\n" + "U2: " + str.tostring(upper2, format.mintick) + "\n" + "U3: " + str.tostring(upper3, format.mintick) lb := label.new(bar_index, upper1, txt, style = label.style_label_right, textcolor = color.white, color = color.new(color.black, 40))
Indicador Pine Script®
por zvvgpbe
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview The  Frequency Momentum Oscillator  applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes. 🟢 How It Works The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis: detrendedPrice = close - ta.sma(close , frequencyPeriod) The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients: for k = 1 to 8 cosSum = 0.0 sinSum = 0.0 for n = 0 to frequencyPeriod - 1 angle = 2 * math.pi * k * n / frequencyPeriod cosSum := cosSum + detrendedPrice * math.cos(angle) sinSum := sinSum + detrendedPrice * math.sin(angle) power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions: lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33 highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33 The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power: smoothLow = ta.ema(lowFreqNorm, smoothingPeriod) smoothHigh = ta.ema(highFreqNorm, smoothingPeriod) spectralBalance = smoothLow - smoothHigh Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction: momentum = ta.change(close , frequencyPeriod/2) compositeSignal = spectralBalance * math.sign(momentum) finalSignal = ta.ema(compositeSignal, smoothingPeriod) The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down). 🟢 How to Use This Indicator → Long/Short Signals:  the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence). → Upper and Lower Reference Lines:  the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods. → Preconfigured Presets:  three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration. → Built-in Alerts:  the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring. → Color Customization:  four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
Indicador Pine Script®
por QuantAlgo
7