Mulakan

Candlestick analysis

Opening Range TraderThis indicator, "Opening Range Trader," provides visual tools for defining and tracking two customizable intraday ranges plus today’s open, high, and low. It is designed for day traders to identify support, resistance, and breakout opportunities by automatically marking key price levels that often shape the day's momentum. It offers: Customizable start and end times for two independent time ranges. Toggle options to display lines for the selected ranges and for today’s open, high, and low. Automatic adaptation for New York market hours. Real-time updates for session highs/lows and today’s evolving levels. Traders use this to watch for breakouts above or below the opening range (ORB strategy), to fade false moves when price returns inside the range, or to participate in trending moves after volatility begins. A common setup is entering long on closes above the range high, or short on closes below the range low, with stops and targets based on the range’s width or the opposite boundary. Risk management approaches include placing stop losses at the midpoint or at the opposite end of the range, and adjusting targets for measured moves. Volume confirmation can help filter valid breakouts, while adapting times for specific assets and trading styles maximizes flexibility. The second range allows traders to repeat similar strategies later in the session for evolving momentum windows, making this indicator useful for multiple intraday setups.
Penunjuk Pine Script®
oleh abedmahmood
Clean MA + Signals (overlay)//@version=5 indicator("Clean MA + Signals (overlay)", overlay=true) // Inputs maLen = input.int(50, "MA Length", minval=1) maType = input.string("EMA", "MA Type", options= ) // MA maCalc(src, len, typ) => switch typ "SMA" => ta.sma(src, len) "EMA" => ta.ema(src, len) "RMA" => ta.rma(src, len) "WMA" => ta.wma(src, len) maLine = maCalc(close, maLen, maType) plot(maLine, "MA", color=color.new(color.teal, 0), linewidth=2) // Siqnallar — yalnız kəsişmə anında longCond = ta.crossover(close, maLine) shortCond = ta.crossunder(close, maLine) plotshape(longCond, "LONG", location=location.belowbar, style=shape.triangleup, color=color.lime, size=size.small, text="LONG") plotshape(shortCond, "SHORT", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small, text="SHORT") alertcondition(longCond, "LONG Signal", "LONG signal on {{ticker}} {{interval}}") alertcondition(shortCond, "SHORT Signal", "SHORT signal on {{ticker}} {{interval}}")
Penunjuk Pine Script®
oleh vidadisammadov
NY 14:30 High/Low - 1mThis indicator automatically draws horizontal lines for the High (green) and Low (red) of the 14:30 (Lisbon) candle on the 1-minute chart. It is designed for traders who want to quickly identify the New York open levels (NY Open), allowing you to: Visualize the NY market opening zone. Use these levels as intraday support or resistance. Plan entries and exits based on breakouts or pullbacks. Features: Works on any 1-minute chart. Lines are drawn immediately after the 14:30 candle closes. Lines extend automatically to the right. Simple and lightweight, no complex variables or external dependencies. Daily reset, always showing the current day’s levels. Recommended Use: Combine with support/resistance zones, order blocks, or fair value gaps. Monitor price behavior during the NY open to identify breakout or rejection patterns.
Penunjuk Pine Script®
oleh AR17_17
Adaptive Heikin Ashi [CHE]Adaptive Heikin Ashi — volatility-aware HA with fewer fake flips Summary Adaptive Heikin Ashi is a volatility-aware reinterpretation of classic Heikin Ashi that continuously adjusts its internal smoothing based on the current ATR regime, which means that in quiet markets the indicator reacts more quickly to genuine directional changes, while in turbulent phases it deliberately increases its smoothing to suppress jitter and color whipsaws, thereby reducing “noise” and cutting down on fake flips without resorting to heavy fixed smoothing that would lag everywhere. Motivation: why adapt at all? Classic Heikin Ashi replaces raw OHLC candles with a smoothed construction that averages price and blends each new candle with the previous HA state, which typically cleans up trends and improves visual coherence, yet its fixed smoothing amount treats calm and violent markets the same, leading to the usual dilemma where a setting that looks crisp in a narrow range becomes too nervous in a spike, and a setting that tames high volatility feels unnecessarily sluggish as soon as conditions normalize; by allowing the smoothing weight to expand and contract with volatility, Adaptive HA aims to keep candles readable across shifting regimes without constant manual retuning. What is different from normal Heikin Ashi? Fixed vs. adaptive blend: Classic HA implicitly uses a fixed 50/50 blend for the open update (`HA_open_t = 0.5 HA_open_{t-1} + 0.5 HA_close_{t-1}`), while this script replaces the constant 0.5 with a dynamic weight `w_t` that oscillates around 0.5 as a function of observed volatility, which turns the open update into an EMA-like filter whose “alpha” automatically changes with market conditions. Volatility as the steering signal: The script measures volatility via ATR and compares it to a rolling baseline (SMA of ATR over the same length), producing a normalized deviation that is scaled by sensitivity, clamped to ±1 for stability, and then mapped to a bounded weight interval ` `, so the adaptation is strong enough to matter but never runs away. Outcome that matters to traders: In high volatility, the weight shifts upward toward the prior HA open, which strengthens smoothing exactly where classic HA tends to “chatter,” while in low volatility the weight shifts downward toward the most recent HA close, which speeds up reaction so quiet trends do not feel artificially delayed; this is the practical mechanism by which noise and fake signals are reduced without accepting blanket lag. How it works 1. HA close matches classic HA: `HA_close_t = (Open_t + High_t + Low_t + Close_t) / 4` 2. Volatility normalization: `ATR_t` is computed over `atr_length`, its baseline is `ATR_SMA_t = SMA(ATR, atr_length)`, and the raw deviation is `(ATR_t / ATR_SMA_t − 1)`, which is then scaled by `adapt_sensitivity` and clamped to ` ` to obtain `v_t`, ensuring that pathological spikes cannot destabilize the weighting. 3. Adaptive weight around 0.5: `w_t = 0.5 + oscillation_range v_t`, giving `w_t ∈ `, so with a default `range = 0.20` the weight stays between 0.30 and 0.70, which is wide enough to matter but narrow enough to preserve HA identity. 4. EMA-like open update: On the very first bar the open is seeded from a stable combination of the raw open and close, and thereafter the update is `HA_open_t = w_t HA_open_{t−1} + (1 − w_t) HA_close_{t−1}`, which is equivalent to an EMA where higher `w_t` means heavier inertia (more smoothing) and lower `w_t` means stronger pull to the latest price information (more responsiveness). 5. High and low follow classic HA composition: `HA_high_t = max(High_t, max(HA_open_t, HA_close_t))`, `HA_low_t = min(Low_t, min(HA_open_t, HA_close_t))`, thereby keeping visual semantics consistent with standard HA so that your existing reading of bodies, wicks, and transitions still applies. Why this reduces noise and fake signals in practice Fake flips in HA typically occur when a fixed blending rule is forced to process candles during a volatility surge, producing rapid alternations around pivots or within wide intrabar ranges; by increasing smoothing exactly when ATR jumps relative to its baseline, the adaptive open stabilizes the candle body progression and suppresses transient color changes, while in the opposite scenario of compressed ranges, the reduced smoothing allows small but persistent directional pressure to reflect in candle color earlier, which reduces the tendency to enter late after multiple slow transitions. Parameter guide (what each input really does) ATR Length (default 14): controls both the ATR and its baseline window, where longer values dampen the adaptation by making the baseline slower and the deviation smaller, which is helpful for noisy lower timeframes, while shorter values make the regime detector more reactive. Oscillation Range (default 0.20): sets the maximum distance from 0.5 that the weight may travel, so increasing it towards 0.25–0.30 yields stronger smoothing in turbulence and faster response in calm periods, whereas decreasing it to 0.10–0.15 keeps the behavior closer to classical HA and is useful if your strategy already includes heavy downstream smoothing. Adapt Sensitivity (default 6.0): multiplies the normalized ATR deviation before clamping, such that higher sensitivity accelerates adaptation to regime shifts, while lower sensitivity produces gradual transitions; negative values intentionally invert the mapping (higher vol → less smoothing) and are generally not recommended unless you are testing a counter-intuitive hypothesis. Reading the candles and the optional diagnostic You interpret colors and bodies just like with normal HA, but you can additionally enable the Adaptive Weight diagnostic plot to see the regime in real time, where values drifting up toward the upper bound indicate a turbulent context that is being deliberately smoothed, and values gliding down toward the lower bound indicate a calm environment in which the indicator chooses to move faster, which can be valuable for discretionary confirmation when deciding whether a fresh color shift is likely to stick. Practical workflows and combinations Trend-following entries: use color continuity and body expansion as usual, but expect fewer spurious alternations around news spikes or into liquidity gaps; pairing with structure (swing highs/lows, breaks of internal ranges) keeps entries disciplined. Exit management: when the diagnostic weight remains elevated for an extended period, you can be stricter with exit triggers because flips are less likely to be accidental noise; conversely, when the weight is depressed, consider earlier partials since the indicator is intentionally more nimble. Multi-asset, multi-TF: the adaptation is especially helpful if you rotate instruments with very different vol profiles or hop across timeframes, since you will not need to retune a fixed smoothing parameter every time conditions change. Behavior, constraints, and performance The script does not repaint historical bars and uses only past information on closed candles, yet just like any candle-based visualization the current live bar will update until it closes, so you should avoid acting on mid-bar flips without a rule that accounts for bar close; there are no `security()` calls or higher-timeframe lookups, which keeps performance light and execution deterministic, and the clamping of the volatility signal ensures numerical stability even during extreme ATR spikes. Sensible defaults and quick tuning Start with the defaults (`ATR 14`, `Range 0.20`, `Sensitivity 6.0`) and observe the weight plot across a few volatile events; if you still see too many flips in turbulence, either raise `Range` to 0.25 or trim `Sensitivity` to 4–5 so that the weight can move high but does not overreact, and if the indicator feels too slow in quiet markets, lower `Range` toward 0.15 or raise `Sensitivity` to 7–8 to bias the weight a bit more aggressively downward when conditions compress. What this indicator is—and is not Adaptive Heikin Ashi is a context-aware visualization layer that improves the signal-to-noise ratio and reduces fake flips by modulating smoothing with volatility, but it is not a complete trading system, it does not predict the future, and it should be combined with structure, risk controls, and position management that fit your market and timeframe; always forward-test on your instruments, and remember that even adaptive smoothing can delay recognition at sharp turning points when volatility remains elevated. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Penunjuk Pine Script®
oleh chervolino
1
SMC Volatility Liquidity Prothis one’s a confluence signaler. it fires “BUY CALL” / “BUY PUT” labels only when four things line up at once: trend, volatility squeeze, a liquidity sweep, and MACD momentum. quick breakdown: what each block does Trend filter (context) ema50 > ema200 ⇒ trendUp ema50 < ema200 ⇒ trendDn Plots both EMAs for visual context. Volatility compression (setup) 20-period Bollinger Bands (stdev 2). bb_squeeze is true when current band width < its 20-SMA ⇒ price is compressed (potential energy building). Liquidity sweep (trigger) Tracks 20-bar swing high/low. Long sweep: high > swingHigh ⇒ price just poked above the prior 20-bar high (took buy-side liquidity). Short sweep: low < swingLow ⇒ price just poked below the prior 20-bar low (took sell-side liquidity). MACD momentum (confirmation) Standard MACD(12,26,9) histogram. Bullish: hist > 0 and rising versus previous bar. Bearish: hist < 0 and falling. the actual entry signals LongEntry = trendUp AND bb_squeeze AND liquiditySweepLong AND macdBullish → prints a green “BUY CALL” label below the bar. ShortEntry = trendDn AND bb_squeeze AND liquiditySweepShort AND macdBearish → prints a red “BUY PUT” label above the bar. alerts & dashboard Alerts: fires when those long/short conditions hit so you can set TradingView alerts on them. On-chart dashboard (bottom-right): Trend (Bullish/Bearish/Neutral) Squeeze (Yes/No) Liquidity (Long/Short/None) Momentum (Bullish/Bearish/Neutral) Current Signal (BUY CALL / BUY PUT / WAIT) (btw the comment says “2 columns × 5 rows” but the table is actually 5 columns × 2 rows—values under each label across the row.) what it’s trying to capture (in plain english) Trade with the higher-timeframe bias (EMA 50 over 200). Enter as volatility compresses (bands tight) and a sweep grabs stops beyond a 20-bar extreme. Only pull the trigger when momentum agrees (MACD hist direction & side of zero). caveats / tips It’s an indicator, not a strategy—no entries/exits/backtests baked in. Signals are strict (4 filters), so you’ll get fewer but “cleaner” prints; still not magical. The liquidity-sweep check uses the prior bar’s 20-bar high/low ( ), so on bar close it won’t repaint; intrabar alerts may feel jumpy if you alert “on every tick.” Consider adding: Exit logic (e.g., ATR stop + take-profit, or opposite signal). Minimum squeeze duration (e.g., bb_squeeze true for N bars) to avoid one-bar dips in width. Cool-down after a signal to prevent clustering. Session/time or volume filter if you only want liquid hours. if you want, I can convert this into a backtestable strategy() version with ATR-based stops/targets and a few toggles, so you can see stats right away.
Penunjuk Pine Script®
oleh lessandoval617
Ch Enhanced Buy Sell Volume// ======================================== // 📊 HOW TO READ THIS INDICATOR 📊 // ======================================== // // 🟢 GREEN BARS (Above Zero) = BUY VOLUME // 🔴 RED BARS (Below Zero) = SELL VOLUME // // 💡 BAR COLORS MEANING: // • DARK GREEN = Strong buyer dominance (high conviction buying) // • LIGHT GREEN = Weak buyer dominance (low conviction) // • DARK RED = Strong seller dominance (high conviction selling) // • LIGHT RED = Weak seller dominance (low conviction) // // 🎯 TRADING SIGNALS: // • Tall dark green bars = Strong bullish momentum // • Tall dark red bars = Strong bearish momentum // • Light colored bars = Weak conviction, potential reversal // • Green bars > Red bars = Buyers winning // • Red bars > Green bars = Sellers winning // // 📈 BULLISH SIGNALS: // • Buy% > 70% = Strong buying interest // • Dark green bars with high delta = Professional buying // • Buy volume above yellow MA line = Above average buying // // 📉 BEARISH SIGNALS: // • Sell% > 70% = Strong selling pressure // • Dark red bars with high delta = Professional selling // • Sell volume below yellow MA line = Above average selling // // ⚠️ WARNING SIGNALS: // • Price up + Red dominance = Bearish divergence // • Price down + Green dominance = Bullish divergence // • Low delta (<10%) = Market indecision // // 📊 INFO TABLE (Top-Right): // • Buy%: Percentage of volume that was buying // • Sell%: Percentage of volume that was selling // • Delta%: Strength of dominance (difference between buy/sell) // • Dom: Which side is currently dominant (BUYERS/SELLERS) // // 🟡 YELLOW LINES = Volume Moving Average // • Upper line: Reference for buy volume (green bars) // • Lower line: Reference for sell volume (red bars) // • Above yellow = Higher than average volume // • Below yellow = Lower than average volume
Penunjuk Pine Script®
oleh chetan982502
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription: This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals. Logic in Detail: Adaptive Median Heikin-Ashi (AMHA): Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise. Standard Heikin-Ashi Overlay: Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter. EMA Structure: Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend. EMA50/200 Counter: The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter. Average of the Last 10 Crossovers (Avg10Crosses): The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior. Benefits for Analysis: Clearer trend visualization through adaptive Heikin-Ashi calculation. Multi-EMA setup for quick structural assessment. Objective measurement of trend phase duration. Statistical insight from the average cycle length of past EMA50/200 crosses. Flexible visualization through adjustable offset positioning below the price chart. Usage: Add the indicator to your chart. For a clean look, you may switch your chart type to “Line” or hide standard candlesticks. Interpret visual signals: White candles = bullish phases Orange candles = bearish phases EMAs = structural trend filters (e.g., EMA200 as a long-term boundary) The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean. Special Feature: This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.
Penunjuk Pine Script®
oleh Mu10_Roshi
55 ABR Currentcurrent bar range abr previous_bar ibs 当前K线范围 (Curr Bar Rng)：显示当前正在形成的K线的价格幅度（最高价-最低价） 平均K线范围 (ABR)：计算指定周期内（默认8根K线）的平均K线范围，这个数值可以帮助交易者了解市场的平均波动性 内部K线强度 (IBS)：显示前一根已完成K线的内部强度百分比 This Pine Script indicator creates a real-time information panel in the top-right corner of TradingView charts, displaying three key trading metrics:Core Features: Current Bar Range: Shows the price range (high - low) of the currently forming candlestick, providing immediate awareness of intraday volatility. Average Bar Range (ABR): Calculates the mean candlestick range over a specified lookback period (default: 8 bars). This metric helps traders assess whether current market volatility is above or below recent norms. Internal Bar Strength (IBS): Displays the previous completed bar's internal strength as a percentage,
Penunjuk Pine Script®
oleh gggxx