Mulai

Motif-Motif Chart

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
Indikator Pine Script®
oleh chervolino
2
Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders. It automatically finds and plots three key structures on your chart: Liquidity Levels – swing highs & lows that often get targeted by price. Fair-Value Gaps (FVG) – inefficient price gaps between candles. Order-Blocks (OB) – zones created by strong, high-volume impulsive candles. It also provides alerts and a small information table so you can quickly gauge the current market context.
Indikator Pine Script®
oleh shiyamsunder87
8
H/L Swings/pivots detectorThis indicator detects and labels swing highs and swing lows using pivot logic. It highlights market structure shifts by identifying: - Higher Highs (HH) and Lower Highs (LH) - Lower Lows (LL) and Higher Lows (HL) Traders often use these levels to analyze trends, reversals, and key support/resistance zones. The script also plots pivot markers above highs and below lows for visual clarity. This tool is designed for educational and analytical purposes, and it does not provide financial advice or guaranteed results. 📂 Categories (choose when publishing) Type of script → Indicator Category → Trend Analysis (fits best for HH/LL pivots) Optionally → Support/Resistance (if you emphasize pivots as zones) swing high swing low pivot points market structure trend analysis higher high lower low support resistance
Indikator Pine Script®
oleh Yasser_Mahmoud
LibbyThis script is a refined chopzone index script with additional functionalities. it produce buy and sell signals as directed by chopzone How to use: BUY: Look for buy signal on the chart and proceed to place buy or long orders SELL: Look for sell on the chart and proceed to place sell or short orders. NOTE: i recommend you set alerts and make it activate on bar close to avoid fadeouts and sideways. expect sideways market and multiple opposite signals within a short time during news or when economic data are released. as always, no indicator is failproof, it is recommended to always pair more than 1 indicator for more clarity and practice safe trading.
Indikator Pine Script®
oleh mikenosa22
Multi Timeframe BOS & rBOSThis is the same Multi-Timeframe Break of Structure and Market Structure Shift posted by Lenny_Kiruthu. However, the only difference is the naming of Market Structure Shift to rBOS (Break of Structure Reverse). To me, they are all break of structures when previous peaks or valleys are violated. The only difference is in sequence. Once a sequence of BOS reverses, then a new sequence begins. To me, this simplifies the various terminology incorporated by different systems such as ICT or SMT which adds unnecessary complexity. eT
Indikator Pine Script®
oleh CheapTricks
2
Crypto Market Dominance Stacked with LabelsA professional stacked area chart showing the dominance of major crypto market segments: BTC, ETH, Top 100 Altcoins, and #101+ Altcoins. Each layer is color-coded for clarity and includes dynamic labels with the current dominance percentage. Provides a clear visual representation of market share trends for traders, analysts, and crypto enthusiasts. Features: Stacked visualization of BTC, ETH, Top 100, and small-cap altcoins (#101+). Color-coded areas for easy identification. Dynamic labels showing each category’s current dominance percentage. Horizontal reference lines for percentage levels. Approximates top 100 and #101+ altcoins using TOTAL2 and TOTAL3 market cap tickers. Use Case: Track how market share shifts between BTC, ETH, large altcoins, and smaller altcoins over time. Ideal for analyzing trends, spotting dominance changes, and visualizing overall crypto market structure.
Indikator Pine Script®
oleh Laowai_YuriK
MACD Josh MACD Study — Visual Crossover Tags Overview: This script displays MACD signals in a clear, visual way by showing: Histogram = EMA(Fast) − EMA(Slow) Signal = EMA(Histogram, Signal Length) It adds labels and arrows to help you see crossover events between the Histogram and the Signal line more easily. ⚠️ Disclaimer: This tool is for educational and research purposes only. It is not financial advice or an investment recommendation. Past performance does not guarantee future results. Users should make their own decisions and manage risk responsibly. Features Central Zero Line with Signal and Histogram plots Optional labels/arrows to highlight Histogram–Signal crossovers Alerts for crossover and crossunder events, integrated with TradingView’s alert system Standard adjustable inputs: Fast EMA, Slow EMA, Signal EMA How to Interpret (for study only) When the Histogram crosses above the Signal, a visual label/arrow marks a positive MACD event When the Histogram crosses below the Signal, a visual label/arrow marks a negative MACD event The “BUY/SELL” labels are visual study tags only — they do not represent trade instructions or recommendations Responsible Usage Tips Test across multiple timeframes and different assets Combine with higher-timeframe trend, support/resistance, or volume for confirmation Use alerts with caution, and always test in a demo environment first Technical Notes The script does not use future data and does not repaint signals once bars are closed Results depend on market conditions and may vary across assets and timeframes License & Credits Written in Pine Script® v5 for TradingView The indicator name shown on chart is for labeling purposes only and carries no implication of advice or solicitation
Indikator Pine Script®
oleh JOSHSniper4569
MACD COM PONTOS//@version=5 indicator(title="MACD COM PONTOS", shorttitle="MACD COM PONTOS") //Plot Inputs res = input.timeframe("", "Indicator TimeFrame") fast_length = input.int(title="Fast Length", defval=12) slow_length = input.int(title="Slow Length", defval=26) src = input.source(title="Source", defval=close) signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9) sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= ) sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= ) // Show Plots T/F show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10") show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11") show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11") show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20") show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20") show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30") show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40") show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50") show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60") show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60") //show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5") // MACD Lines colors col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1") col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1") col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2") col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2") // Histogram Colors col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10") col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10") col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors",inline="Hist20") col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20") // Alerts T/F Inputs alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10") alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10") alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20") alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20") // Calculating fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)) slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)) macd = fast_ma - slow_ma signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)) hist = macd - signal // MACD Trend and Cross Up/Down conditions trend_up = macd > signal trend_dn = macd < signal cross_UP = signal >= macd and signal < macd cross_DN = signal <= macd and signal > macd cross_UP_A = (signal >= macd and signal < macd) and macd > 0 cross_DN_B = (signal <= macd and signal > macd) and macd < 0 // Condition that changes Color of MACD Line if Show Trend is turned on.. trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na //Var Statements for Histogram Color Change var bool histA_IsUp = false var bool histA_IsDown = false var bool histB_IsDown = false var bool histB_IsUp = false histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0 histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0 histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0 histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0 hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver // Plot Statements //Background Color bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false) bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false) //Highlight Price Bars barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false) barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false) //Regular Plots plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW) plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW) plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW) hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false) plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false) plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false) //Alerts if alert_Long and cross_UP alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close) if alert_Short and cross_DN alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close) //Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0 if alert_Long_A and cross_UP_A alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close) if alert_Short_B and cross_DN_B alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close) //End Code
Indikator Pine Script®
oleh felipenesio
MC WITH ALERTS DINESH SETHIYAManipulation Candle (MC): A candlestick that initially suggests price movement in one direction but then reverses, manipulating liquidity and closing in the opposite direction. Types of MCs: Bullish MC: Takes out the previous candle's low, reverses, takes out the previous candle's high, and closes above it. Bearish MC: Takes out the previous candle's high, reverses, takes out the previous candle's low, and closes below it. Ideal MC Characteristic: The rejection wick (bottom wick for bullish MC, top wick for bearish MC) should be larger than the directional wick.
Indikator Pine Script®
oleh astatrader24
UpDownBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear ZoneUpDownBow + BullBear UpDownBow + BullBear ZoneUpDoUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZoneUpDownBow + BullBear ZonewnBow + BullBear Zone
Indikator Pine Script®
oleh iuzxzbfhm
Tristan's Star: 15m Shooting Star DetectorThis script is designed to be used on the 1-minute chart , but it analyzes the market as if you were watching the 15-minute candles. Every cluster of 15 one-minute candles is grouped together and treated as a single 15-minute candle. When that 15-minute “synthetic” candle looks like a shooting star pattern (small body near the low, long upper wick, short lower wick, bearish bias), the script triggers a signal. At the close of that 15-minute cluster, the script will: Plot a single “Sell” label on the last 1-minute bar of the group. Draw a horizontal line across the 15 bars at the high, showing the level that created the shooting star. Optionally display a table cell in the corner with the word “SELL.” This lets you stay on the 1-minute timeframe for precision entries and exits, while still being alerted when the higher-timeframe (15-minute) shows a bearish reversal pattern.
Indikator Pine Script®
oleh OhRayOhRay
1
HH/HL/LH/LLThe script works by detecting swing highs and swing lows with a simple pivot function (ta.pivothigh / ta.pivotlow) using a fixed 2-bar lookback and confirmation window. Each new pivot is compared against the previous confirmed pivot of the same type: If a swing high is greater than the last swing high → it is labelled HH. If a swing high is lower than the last swing high → it is labelled LH. If a swing low is greater than the last swing low → it is labelled HL. If a swing low is lower than the last swing low → it is labelled LL. To keep the chart clean and readable, the indicator: Plots only the two-letter labels (HH, HL, LH, LL) with no background box. Uses red text for highs and green text for lows. Places labels directly at the pivot bar (with the necessary confirmation offset). Keeps labels small (size.tiny) to avoid clutter.
Indikator Pine Script®
oleh zacbrabs
Positional Toolbox v6 (distinct colors)what the lines mean (colors) EMA20 (green) = fast trend EMA50 (orange) = intermediate trend EMA200 (purple, thicker) = primary trend when the chart is “bullish” vs “bearish” Bullish bias (look for buys): EMA20 > EMA50 > EMA200 and EMA200 sloping up. Bearish bias (avoid longs / consider exits): EMA20 < EMA50 < EMA200 or price closing under EMA50/EMA200. the two buy signals the script gives you Pullback Long (triangle up) Prints when price dips to EMA20 (green) and closes back above it while trend is bullish and ADX is decent. Entry: buy on the same close or on a break of that candle’s high next day. Stop: below the pullback swing-low (or below EMA50 for simplicity). Best for: adding on an existing uptrend after a shallow dip. Breakout 55D (“BO55” label) Prints when price closes above prior 55-day high with volume surge in a bullish trend. Entry: on the close that triggers, or next day above the breakout candle’s high. Stop: below the breakout candle’s low (conservative: below base low). Best for: fresh trend legs from bases. simple “sell / exit” rules Trend exit (clean & mechanical): exit if daily close < EMA50 (orange). More conservative: only exit if close < EMA200 (purple). Momentum fade / weak breakout: if BO55 triggers but price re-closes back inside the base within 1–3 sessions on above-avg volume → exit or cut size. Profit taking: book some at +1.5R to +2R, trail the rest (e.g., below prior swing lows or EMA20). quick visual checklist (what to look for) Are the EMAs stacked up (green over orange over purple)? → ok to buy setups. Did a triangle print near EMA20? → pullback long candidate. Did a BO55 label print with strong volume? → breakout candidate. Any close under EMA50 after you’re in? → reduce/exit. timeframe Use Daily for positional signals. If you want a tighter entry, drop to 30m/1h only to time the trigger—but keep decisions anchored to the daily trend. alerts to set (so you don’t miss signals) Add alert on Breakout 55D and Pullback Long (from the indicator’s alertconditions). Optional price alerts at the breakout level or EMA20 touch. risk guardrails (MTF friendly) Risk ≤1% of capital per trade. Avoid fresh entries within ~5 trading days of earnings unless you accept gap risk. Prefer high-liquidity NSE F&O names (your CSV watchlist covers this). TL;DR (super short): Green > Orange > Purple = uptrend. Triangle near green = buy the pullback; stop under swing low/EMA50. BO55 label = buy the breakout; stop under breakout candle/base. Exit on close below EMA50 (or below EMA200 if you’re giving more room).
Indikator Pine Script®
oleh Pyogi24
Opening Range IndicatorComplete Trading Guide: Opening Range Breakout Strategy What Are Opening Ranges? Opening ranges capture the high and low prices during the first few minutes of market open. These levels often act as key support and resistance throughout the trading day because: Heavy volume occurs at market open as overnight orders execute Institutional activity is concentrated during opening minutes Price discovery happens as market participants react to overnight news Psychological levels are established that traders watch all day Understanding the Three Timeframes OR5 (5-Minute Range: 9:30-9:35 AM) Most sensitive - captures immediate market reaction Quick signals but higher false breakout rate Best for scalping and momentum trading Use for early entry when conviction is high OR15 (15-Minute Range: 9:30-9:45 AM) Balanced approach - most popular among day traders Moderate sensitivity with better reliability Good for swing trades lasting several hours Primary timeframe for most strategies OR30 (30-Minute Range: 9:30-10:00 AM) Most reliable but slower signals Lower false breakout rate Best for position trades and trend following Use when looking for major moves Core Trading Strategies Strategy 1: Basic Breakout Setup: Wait for price to break above OR15 high or below OR15 low Enter on the breakout candle close Stop loss: Opposite side of the range Target: 2-3x the range size Example: OR15 range: $100.00 - $102.00 (Range = $2.00) Long entry: Break above $102.00 Stop loss: $99.50 (below OR15 low) Target: $104.00+ (2x range size) Strategy 2: Multiple Confirmation Setup: Wait for OR5 break first (early signal) Confirm with OR15 break in same direction Enter on OR15 confirmation Stop: Below OR30 if available, or OR15 opposite level Why it works: Multiple timeframe confirmation reduces false signals and increases probability of sustained moves. Strategy 3: Failed Breakout Reversal Setup: Price breaks OR15 level but fails to hold Wait for re-entry into the range Enter reversal trade toward opposite OR level Stop: Recent breakout high/low Target: Opposite side of range + extension Key insight: Failed breakouts often lead to strong moves in the opposite direction. Advanced Techniques Range Quality Assessment High-Quality Ranges (Trade these): Range size: 0.5% - 2% of stock price Clean boundaries (not choppy) Volume spike during range formation Clear rejection at range levels Low-Quality Ranges (Avoid these): Very narrow ranges (<0.3% of stock price) Extremely wide ranges (>3% of stock price) Choppy, overlapping candles Low volume during formation Volume Confirmation For Breakouts: Look for volume spike (2x+ average) on breakout Declining volume often signals false breakout Rising volume during range formation shows interest Market Context Filters Best Conditions: Trending market days (SPY/QQQ with clear direction) Earnings reactions or news-driven moves High-volume stocks with good liquidity Volatility above average (VIX considerations) Avoid Trading When: Extremely low volume days Major economic announcements pending Holidays or half-days Choppy, sideways market conditions Risk Management Rules Position Sizing Conservative: Risk 0.5% of account per trade Moderate: Risk 1% of account per trade Aggressive: Risk 2% maximum per trade Stop Loss Placement Inside the range: Quick exit but higher stop-out rate Outside opposite level: More room but larger risk ATR-based: 1.5-2x Average True Range below entry Profit Taking Target 1: 1x range size (take 50% off) Target 2: 2x range size (take 25% off) Runner: Trail remaining 25% with moving stops Specific Entry Techniques Breakout Entry Methods Method 1: Immediate Entry Enter as soon as price closes above/below range Fastest entry but highest false signal rate Best for strong momentum situations Method 2: Pullback Entry Wait for breakout, then pullback to range level Enter when price bounces off former resistance/support Better risk/reward but may miss some moves Method 3: Volume Confirmation Wait for breakout + volume spike Enter after volume confirmation candle Reduces false signals significantly Multiple Timeframe Entries Aggressive: OR5 break → immediate entry Conservative: OR5 + OR15 + OR30 all align → enter Balanced: OR15 break with OR30 support → enter Common Mistakes to Avoid 1. Trading Poor-Quality Ranges ❌ Don't trade ranges that are too narrow or too wide ✅ Focus on clean, well-defined ranges with good volume 2. Ignoring Volume ❌ Don't chase breakouts without volume confirmation ✅ Always check for volume spike on breakouts 3. Over-Trading ❌ Don't force trades when ranges are unclear ✅ Wait for high-probability setups only 4. Poor Risk Management ❌ Don't risk more than planned or use tight stops in volatile conditions ✅ Stick to predetermined risk levels 5. Fighting the Trend ❌ Don't fade breakouts in strongly trending markets ✅ Align trades with overall market direction Daily Trading Routine Pre-Market (8:00-9:30 AM) Check overnight news and earnings Review major indices (SPY, QQQ, IWM) Identify potential opening range candidates Set alerts for range breakouts Market Open (9:30-10:00 AM) Watch opening range formation Note volume and price action quality Mark key levels on charts Prepare for breakout signals Trading Session (10:00 AM - 4:00 PM) Execute breakout strategies Manage existing positions Trail stops as profits develop Look for additional setups Post-Market Review Analyze winning and losing trades Review range quality vs. outcomes Identify improvement areas Prepare for next session Best Stocks/ETFs for Opening Range Trading Large Cap Stocks (Best for beginners): AAPL, MSFT, GOOGL, AMZN, TSLA High liquidity, predictable behavior Good range formation most days ETFs (Consistent patterns): SPY, QQQ, IWM, XLF, XLE Excellent liquidity Clear range boundaries Mid-Cap Growth (Advanced traders): Stocks with good volume (1M+ shares daily) Recent news catalysts Clean technical patterns Performance Optimization Track These Metrics: Win rate by range type (OR5 vs OR15 vs OR30) Average R/R (risk vs reward ratio) Best performing market conditions Time of day performance Continuous Improvement: Keep detailed trade journal Review failed breakouts for patterns Adjust position sizing based on win rate Refine entry timing based on backtesting Final Tips for Success Start small - Paper trade or use tiny positions initially Focus on quality - Better to miss trades than take bad ones Stay disciplined - Stick to your rules even during losing streaks Adapt to conditions - What works in trending markets may fail in choppy conditions Keep learning - Markets evolve, so should your approach The opening range strategy is powerful because it captures natural market behavior, but like all strategies, it requires practice, discipline, and proper risk management to be profitable long-term.
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