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Altcoin Market Share vs ETH/BTCIdea from x.com on X Each colored line represents the percentage share of different altcoin baskets (excluding stablecoins) or ETH relative to either the ETH or BTC market cap (can add more, e.g. SOL or create different dashboards with Memes, AI, DeFi, you name it) I know: At first glance, this may seem noisy and complex, but it all depends on the questions you want to answer. Once you define those, much of the noise becomes irrelevant, allowing you to simplify the analysis and focus only on what matters to you. What I’ve done here is provide a few initial insights that I found useful (will isolate a couple of them in future). This analysis doesn’t tell you which specific coins to buy, but rather provides a broad market overview as a foundation. It helps guide you toward areas of relative strength or weakness. I’ve included a lot of information here, but the key is to extract the signal from the noise by asking the right questions, for example: At what point do altcoins become overvalued or undervalued against Ethereum? However, when asking these questions, it's important to remember that an overvaluation or undervaluation of Ethereum relative to altcoins tells you little about its valuation against Bitcoin or USD. These are separate questions further down the process.
Indicador Pine Script®
por privatekapperaza
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance What this is This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries: • A reference price (support or resistance) • An estimate of the volume that traded around that price • A touch counter that updates when price retests it • A visual box whose thickness is scaled by volatility The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there. How levels are built Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns. Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier. Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable. Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume. Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future. How levels evolve over time • Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels. • Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels. • Touches : when price approaches within the break threshold, the level’s touch counter increments. Visual encoding • Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels. • Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended. • Extension : boxes can extend a fixed number of bars into the future and can be set to extend right. • High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down. Inputs at a glance Core Settings • Level Detection Sensitivity — pivot window for swing detection • Volume Significance Multiplier — minimum volume ratio to accept a pivot • Lookback Period — window for average volume and maintenance rules Level Management • Maximum Active Levels — cap on concurrently drawn levels • Minimum Level Distance (%) — required spacing between level prices Visual Settings • Remove Broken Levels — drop a level once price closes decisively through it • Show Volume Information on Levels — annotate volume and touches • Extend Levels to Right — carry boxes forward Enhanced Visual Settings • Show Volume Text Inside Box — text placement option • Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels Colors • Separate colors for support, resistance, and their high volume variants How it can be used • Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer. • Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level. • Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts. • Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity. Why volume support and resistance is used in trading Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price: • More market players hold inventory there, often creating responsive behavior on retests • Order flow can concentrate again to defend or to exit • Breaks can be cleaner as trapped inventory rebalances Conditioning level detection on above average activity focuses attention on prices that mattered to more participants. Alerts • New Support Level Created • New Resistance Level Created • Level Touch Alert • Level Break Alert Strengths • Dual filter of structure and participation, reducing trivial swing points • Self cleaning map that retires old or invalid levels • Volatility aware presentation using ATR based thickness • Touch counting for persistence assessment • Tunable inputs for instrument and timeframe Limitations and caveats • Volume strength is an approximation based on bars spanning the price, not true per price volume • Pivots confirm after the sensitivity window completes, so new levels appear with a delay • Narrow ranges can still cluster levels unless minimum distance is increased • Large gaps may jump past levels and immediately trigger break conditions Practical tuning guide • If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels • If useful levels are missed: reduce volume multiplier or sensitivity • If you want stricter break removal: increase the ATR based break threshold in code • For instruments with session patterns: tailor the lookback period to a representative window Interpreting touches and breaks • First touch after creation is a validation test • Multiple shallow touches suggest absorption; a later break may then travel farther • Breaks on high current volume merit extra attention Multi timeframe usage Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible. Final Thoughts This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Indicador Pine Script®
por BackQuant
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum. How It Works and How to Use It This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages). Core Components: Dual Stochastic Oscillators: Signal Line 1 (Blue): A standard stochastic oscillator. Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal. A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2). A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2). Trend Filter (Optional): This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend. When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend. When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend. This filter can be toggled on or off in the indicator settings. How to Use: With Trend Filter Enabled (Recommended): Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when: The Blue Signal Line crosses above the Red Signal Line. The market is in a confirmed uptrend (green background). Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when: The Blue Signal Line crosses below the Red Signal Line. The market is in a confirmed downtrend (red background). Exit Signal: A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend. With Trend Filter Disabled: If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system. A green triangle (▲) will appear every time the Blue Line crosses above the Red Line. A red triangle (▼) will appear every time the Blue Line crosses below the Red Line. The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets. Key Visuals: Blue Line: The primary signal line. Red Line: The secondary, often smoother, signal line. Green Triangle (▲): Bullish entry signal. Red Triangle (▼): Bearish entry signal. Yellow Circle (●): Suggested trade exit/stop. Green/Red Background: Visual confirmation of the current uptrend or downtrend. By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality. Disclaimer This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility. Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices. Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
Indicador Pine Script®
por EkaSanatani
1
TEEREX COUNTDOWN BY N' TEEREX HOONJONGPANG Features: Price Flip Detection – identifies initial buy/sell setups based on close price comparisons to previous bars. Setup Phase (1–9) – counts consecutive bars fulfilling Teerex number conditions; plots numbers on each candle. Cd Phase (1–13) – continues counting after Setup 9; highlights potential reversal points. Signals – marks Setup 9 and Countdown 13 with clear labels and arrows (“LONG” / “SELL”). TDST Lines – draws dynamic support (Buy TDST) or resistance (Sell TDST) lines based on Setup 9 highs/lows. These lines help identify potential breakout or bounce zones. Customizable Display – options to show/hide numbers, signals, and TDST lines; color-coded for clarity. Usage: Monitor Setup 9 and Countdown 13 labels for strong buy/sell signals. Use TDST lines as reference for support/resistance, target levels, or confirmation of trend continuation. Visuals: Numbers 1–9/1–13 appear on the chart for precise counting. Arrows and labels indicate Setup 9 completion and Cd 13 completion. TDST lines extend to the right, updating with each new Setup 9.
Indicador Pine Script®
por hoonjongpang
FBTBBT (Filtered Black Two Bar Break Through)📘 FBTBBT (Filtered Black Two Bar Break Through) Overview FBTBBT is a filtered breakout indicator based on the classical Two Bar Break Through (TBBT) concept. It generates Buy and Sell signals when price breaks above or below the previous bar’s high/low, but only displays the **first signal in a run** to avoid noise and duplicates. - Buy Signal → Break above previous high - Sell Signal → Break below previous low - Filtered → Only the first signal in a consecutive streak is shown --- Key Features 1. Filtered Signals • Avoids repeated identical signals. • Example: 3 consecutive bars breaking the previous low → only the first bar shows a Sell signal. 2. Confirmation Options • Real-Time Mode: signals appear intrabar as soon as the breakout happens. • Close Confirmation: signals appear only after bar close beyond previous high/low (reduces repainting). 3. Visual Aids • Green “Buy” labels below breakout bars. • Red “Sell” labels above breakout bars. • Optional lines for previous bar’s high/low levels. 4. Alerts • Alerts trigger only on the first filtered signal in each run. • Messages specify breakout above (Buy) or below (Sell). --- How to Use • Add FBTBBT to your TradingView chart. • Choose Real-Time or Close-Confirmed signals depending on your style. • Focus on the **first breakout signal**; ignore duplicates until the opposite side appears. • Combine with trend filters, volume, or higher timeframe context for stronger accuracy. --- 👉 In short: **FBTBBT = Clean, filtered breakout signals with no noise.** Perfect for traders who want **precise first-bar breakouts** while avoiding repeated alerts.
Indicador Pine Script®
por turtlekim
Vegas Touch EMA12 切換 EMA-12 Based Switching Rules (No RSI) For Long trades: Tunnel Mode → If EMA-12 is between EMA-144 and EMA-169 → use the Tunnel (144/169) lines as the touch reference. Base Mode → If EMA-12 is below EMA-169 but still above EMA-676 → use the Base (576/676) lines as the touch reference. No Long → If EMA-12 is below EMA-676, no long trade is allowed. For Short trades (mirror logic): Tunnel Mode → If EMA-12 is between EMA-144 and EMA-169 → use the Tunnel (144/169) lines as the touch reference. Base Mode → If EMA-12 is above EMA-169 but still below EMA-676 → use the Base (576/676) lines as the touch reference. No Short → If EMA-12 is above EMA-676, no short trade is allowed.
Indicador Pine Script®
por allen7326288
Vegas ema 過濾 Vegas Channel with EMA-Filter — Trading Rules Components Tunnel: EMA 144 & 169 (upper = max, lower = min). Base: EMA 576 & 676 (upper = max, lower = min). Fast filter: EMA12. Touch threshold: ATR-based or % of the reference line. Long touch = low ≤ line + thr; Short touch = high ≥ line − thr. Trend gate LongTrendOK: EMA144 > EMA576 and EMA169 > EMA676 and close > BaseUpper. ShortTrendOK: EMA144 < EMA576 and EMA169 < EMA676 and close < BaseLower. Price-action pattern (either one) Pin40: bullish pin = close>open & lower wick ≥ 40% of range; bearish pin = close 169 → use Base. Else → use Tunnel. EMA12 hard locks (coarse filter) Lock longs if EMA12 < 676 (no long signals at all). Lock shorts if EMA12 > 676 (no short signals at all). (Optional) Tunnel lock/unlock (fine filter) Lock longs when EMA12 drops below TunnelLower; unlock when A) EMA12 crosses back above 144/169/TunnelUpper, or B) a bullish Pin/Eng appears at BaseUpper and EMA12 is back ≥ TunnelLower. Lock shorts when EMA12 breaks above TunnelUpper; unlock when A) EMA12 crosses back below 144/169/TunnelLower, or B) a bearish Pin/Eng appears at BaseLower and EMA12 is ≤ TunnelUpper. Final signal LONG fires when: Close-bar confirmed ∧ Cooldown passed ∧ LongTrendOK ∧ ActiveBand lower touch ∧ Pin40 or Eng60 ∧ not hard-locked ∧ (not tunnel-locked if enabled). SHORT symmetrical with upper touch. Quality-of-life Close-bar confirmation to avoid repaint. Cooldown (e.g., 10 bars) to prevent signal clusters. Alerts include a compact lock status string (LckL/LckS/HardL/HardS). Optional “BLOCK:” labels show why a bar didn’t trigger (noTouch, EMA12<676/>676, TunnelLock, cooldown, notClose). Suggested defaults ATR(14), ATR multiplier 0.35 (or 0.20% if using Percent mode). autoSwitchByEMA12_* = ON, hardLockBelow676/Above676 = ON, useTunnelLock* = OFF. useCloseBar = ON, signalCooldown = 10. Design intent Tunnel (144/169) captures the working trend; Base (576/676) defines the structural bias. EMA12 drives regime selection (Tunnel vs Base) and hard locks to keep signals sparse and aligned with momentum.
Indicador Pine Script®
por allen7326288
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance. Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
Indicador Pine Script®
por AlgoNavigator
Stop ATR Indicator [AlphaGroup.Live]Tralling Stop tool! Perferct for Prop Firm Traders The Stop ATR is a volatility-based trailing stop that adapts dynamically to market conditions. It uses the Average True Range (ATR) to plot a continuous “stair-step” line: • In uptrend , the stop appears below price as a green line, rising with volatility. • In downtrend , the stop appears above price as a red line, falling with volatility. Unlike fixed stops, the Stop ATR never moves backward . It only trails in the direction of the trend, locking in profits while leaving room for price to move. Key features: • ATR-based trailing stop that adapts to volatility. • Clean “one line only” design — no overlap of signals. • Adjustable ATR period and multiplier for flexibility. • Color-coded visualization for quick trend recognition. How traders use it: • Manage trades with volatility-adjusted stop placement. • Identify trend reversals when price closes across the stop. • Combine with other entry signals for a complete strategy. About us: AlphaGroup.Live develops battle-tested trading systems and tools for real traders — indicators, bots, dashboards, and strategy manuals. Visit alphagroup.live to get our free eBook: The Ultimate 100 Trading Strategies .
Indicador Pine Script®
por AlphaGroupLive
HiLo Stop Indicator [AlphaGroup.Live]Don't give your money back! The HiLo Stop is a classic trend-following tool designed to keep trading simple and disciplined. It plots a single continuous “stair-step” line that switches sides when the trend changes: • In uptrend , the line appears below price as a green stop. • In downtrend , the line appears above price as a red stop. This indicator is commonly used as: • A trailing stop to protect open profits. • A trend filter to confirm buy/sell direction. • A visual guide to avoid trading against the trend. Key features: • Clean “one line only” design — never plots both sides at once. • Adjustable HiLo period for sensitivity control. • Color-coded trend visualization for quick decision making. How traders apply it: • Take trades in the direction of the HiLo line. • Place stop-loss orders at or near the line. • Close or reverse positions when price closes across the stop. About us: AlphaGroup.Live develops battle-tested trading systems and tools for real traders — indicators, bots, dashboards, and strategy manuals. Visit alphagroup.live to get our free eBook: The Ultimate 100 Trading Strategies .
Indicador Pine Script®
por AlphaGroupLive
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios Summary This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry. ________________________________________ Overview Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry. • Anchors define the swing’s Low (L), High (H), and bar count (N). • The user manually enters the VPOC (highest-volume price). • The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement. The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments. ________________________________________ How to Use 1. Select a Swing - Place Anchor A and Anchor B to define the swing’s Low, High, and bar count. 2. Find the VPOC - Apply TradingView’s Fixed Range Volume Profile tool over the same swing. - Identify the Point of Control (POC) — the price level with the highest traded volume. 3. Enter the VPOC - Manually input the POC into the indicator settings. 4. Review Outputs - The table will display candidate ratios expressed mainly as price-per-bar values. 5. Apply in Practice - Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings. ________________________________________ Outputs Swing & Inputs • Bars (N): total bar count of the swing. • Low (L): swing low price. • High (H): swing high price. • ΔP = H − L: price range. • Mid = (L + H) ÷ 2: midpoint price. • VPOC (V): user-entered highest-volume price. • Base slope s0 = ΔP ÷ N: average change per bar. • π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry. ________________________________________ VPOC Harmony Ratios (L, H, V, N) • λ = (V − L) ÷ ΔP: normalized VPOC position within the range. • R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment. • s1 = (V − L) ÷ N: slope from Low → VPOC. • s2 = (H − V) ÷ N: slope from VPOC → High. ________________________________________ Blended Means (s1, s2) These combine the two segment slopes in different ways: • HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope. • GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally. • RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope. • L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined. ________________________________________ Slope Blends • Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²) • Tilted slope: s_tilt = s0 × (0.5 + λ) • Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = − ________________________________________ Curvature & Liquidity Extensions • π-arc × λ: s_arc = sπ × λ • Liquidity-π: s_piV = sπ × (V ÷ Mid) ________________________________________ Scale-Normalized Families With k = sqrt(H ÷ L): • k (scale factor) = sqrt(H ÷ L) • s_comp = s0 ÷ k: compressed slope candidate • s_exp = s0 × k: expanded slope candidate • Exponentiated blends: - s_kλ = s0 × k^(2λ−1) - s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618 - s_√2λ = s0 × (√2)^(2λ−1) ________________________________________ Practical Application All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement. These values are designed for: • Chart compression settings • Testing harmonic alignments across swings • Liquidity-aware scaling experiments ________________________________________
Indicador Pine Script®
por geneclash
Inefficient Candle TrackerThe Inefficient Candle Tracker indicator highlights large, inefficient price moves and plots their midpoints as Squared Up Points. Detects large candles using Percentile or ATR multiple methods Draws dynamic dashed lines at candle midpoints until price “squares them up” Built-in alerts for new SUP creation and when levels are touched Great for spotting unfinished business in price action, confluence with support/resistance, and potential return levels.
Indicador Pine Script®
por ianhay78
Alt Season vs USDT Flow DashboardWhat the script tells you (the signals) It builds four “alt vs stables” lenses and colors the background when they agree. ALT ex-ETH / STABLES (TOTAL3 / (USDT+USDC+DAI)) Think: “How much alt cap per $1 of dry-powder stables?” Bullish when price is above its 200-day SMA and rising → risk appetite expanding toward smaller alts. ALT Share of Risk-On ((TOTAL − STABLES − BTC − ETH) / (TOTAL − STABLES)) Of the non-stable crypto pie, how much is flowing to ex-BTC/ETH alts? Uptrend = broadening alt participation (late-early to mid alt-season behavior). Dominance Spread ((TOTAL3 / TOTAL) − (STABLES / TOTAL)) Alts’ share minus stables’ share. Widening spread means stables are being converted into alts (not just into BTC). Flow Ratio ROC(TOTAL3, N) / ROC(STABLES, N) (default N=30 days) Compares alts’ growth rate to stable supply growth. > 1 and sustained → alts expanding faster than new “dry powder” is appearing. The background color (“regime”) Green (ALT-on) when all three conditions align: ALT/Stable > its SMA Dominance Spread > its SMA Flow Ratio > 1 Red (ALT-off) when the opposite holds. No color = mixed/chop. How to read it (quick playbook) Early alt-season tell: BTC.D starts to slip, total market cap (TOTAL) rising. ALT/Stable breaks above its 200-SMA and stays there. Dominance Spread climbs (alts gaining share, stables losing share). Flow Ratio > 1 for a few weeks. Maturing phase: ALT Share of Risk-On rises (money broadens from ETH/L1s → mid/small caps). Exhaustion/false start: Flow Ratio dips < 1 or ALT/Stable loses the 200-SMA while BTC.D stabilizes or rises. Practical tips Timeframes: Make calls on 1D. Use 1W to avoid whipsaw; use 4H only for entries once the 1D regime is green. Smoothing: If you see noisy spikes from market-cap revisions, add a light smoother (e.g., 7D SMA on the plotted lines). Parameters: Try ROC length 21–45 days. Try SMA 150–250 days (200 is a good middle). Confluence: Keep BTC.D and ETH.D in another pane. Best alt windows: BTC.D trending down, ETH.D flat-to-up initially, then ETH.D flattens as TOTAL3 momentum spreads to mid/small caps. Risk checks: If USDT.D/USDC.D (stable dominance) spike up while your signals are green, that’s a caution flag (capital retreating to stables).
Indicador Pine Script®
por BasedBrainlet
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward: I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature. Technical: Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module. Promotional: I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
Indicador Pine Script®
por sheazadjiwani
MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Estratégia Pine Script®
por thetraderlodge