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Power Law Divergence in % - For Bitcoin Only_JPBitcoin Power Law Divergence The Bitcoin Power Law Divergence is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data. This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth. Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a TradingView chart. The white line shows the daily closing price, while the cyan line is the best-fit regression. A channel is constructed from the linear fit root mean squared error (RMSE), we can observe how price has repeatedly oscillated between each channel areas through every bull-bear cycle. DETAILS One of the advantages of the Power Law Theory proposed by Giovanni Santostasi is its ability to explain multiple behaviors of Bitcoin. We describe some key points below. Power-Law Overview A power law has the form y = A·xⁿ, and Bitcoin’s key variables follow this pattern across many orders of magnitude. Empirically, price rises roughly with t⁶, hash-rate with t¹² and the number of active addresses with t³. When we plot these on log-log axes they appear as straight lines, revealing a scale-invariant system whose behaviour repeats proportionally as it grows.
Pine Script® indicator
by Sahebson
QTheoryQTheory – This indicator is built on Quarterly Theory (developed by Daye) 🔹 Quarterly Theory Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs. 🔹 Sequential SMT (SSMT) Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters. 🔹 Features of QTheory Automatic detection of quarterly cycles across multiple timeframes. Visual cycle boxes & customizable dividers. Integrated SSMT signals with divergence line visualization. DFR (Defining Range) with Fibonacci levels. Support for up to 5 comparison assets, with inversion options. Auto-cycle selection for seamless multi-timeframe adaptation. Extensive customization for colors, opacity, and signal display. 🔹 How it works QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns. 🔹 How to use it Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings. Toggle boxes, dividers, and signals depending on your trading style. Use SSMT divergences and DFR Fibs to anticipate a reversal Compare against other assets (e.g., DXY or correlated pairs) to refine confluence. ⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management. Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
Pine Script® indicator
by karlfredrik
4
NQ Opening Range BreakoutOpening Range Breakout script with: Customizable opening range timeframe selection. Inputs for Risk to Reward ratio, EMAs, Vwap, and ATR sizing to avoid ranges that are too big or too small. Features a toggle for reversal trades that when enabled will trade the other direction if the initial ORB gets stopped out. Default it will use the entire opening range to determine stop loss and take profit and if neither the take profit or stop loss is hit it will end the trade at 16:00. There are toggles to use half the opening range as the stop loss and take profit will then be calculated as risk reward ratio * stop loss or you can select entry candle stop loss and risk reward ratio which places the stop loss at the entry candles opening price. There is also a take profit option that will only exit the trade when price closes below (for longs) or above (for shorts) a customizable ema length. Note that if you have the opening range, for example, selected as 9:30 - 9:45 and are on a 5 minute chart it will enter on the first 5 min closure outside of that range and if you are on a 15 minute chart it will enter on the first 15 min closure outside of that range and so on. You can automate the entries and exits by using a webhook service and using the strategy’s alerts.
Pine Script® strategy
by blinkzssss
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
Pine Script® indicator
by 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.
Pine Script® indicator
by lessandoval617
Synthesis DeFi - Fractals - Daily - v7.0This is a free trial version of SynthesisDeFi.com fractals. A simplified fractal analysis indicator that identifies key market structure points on daily timeframes. This tool automatically detects trend reversals and plots fractal highs and lows with connecting lines, helping traders visualize major support and resistance levels Why use Synthesis DeFi fractals? Harmonic Patterns Wycoff Elliot Waves Dow Theory Created by Oliver Fujimori | SynthesisDeFi.com Perfect for swing traders and position traders focused on daily market structure analysis
Pine Script® indicator
by Synthesis_DeFi
MERA - MTF Extreme Range AlertsMERA – MTF Extreme Range Alerts Precision awareness at the edge. MERA is a multi-timeframe alert and visualization system designed to highlight extreme conditions across several higher timeframes—directly on your lower timeframe chart. By aligning key zones and detecting aggressive shifts in price behavior, it delivers early visual and alert-based warnings that may precede potential reversals. Whether you're actively trading intraday or monitoring for high-probability setups, MERA keeps you anchored to critical context others might miss—without needing to constantly flip between timeframes. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Trading financial instruments involves risk and may not be suitable for all investors. Past performance is not indicative of future results. By using this tool, you agree that the creator is not responsible for any losses incurred from trading or investment decisions based on this indicator. Always do your own research and consult with a licensed financial advisor before making trading decisions.
Pine Script® indicator
by LevelLogic
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary) Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB). Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB). Stop Loss and Take Profit are placed using ATR multiples (configurable). Position sizing is fixed contract/lot size (configurable). You can require OB confirmation (within ob_confirm_window bars). Alerts still exist and visuals are preserved.
Pine Script® strategy
by shiyamsunder87
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.
Pine Script® indicator
by shiyamsunder87
8
TOP-RSI Double Confirm + Heiken Ashi + Buy/Sell Labels v01📊 RSI Double Confirm + Heiken Ashi + Labels 🔎 Concept This indicator combines a Zero-based RSI filter with strict candle close confirmation, overlays Heiken Ashi candles for clearer trend visualization, and adds Buy/Sell labels directly on the chart for easier interpretation. ⚙️ Components 1. RSI Double Confirm RSI is calculated from OHLC4 (open+high+low+close)/4. The RSI value is shifted by -50 to center it around zero (above 0 = bullish, below 0 = bearish). Uses user-defined thresholds: Overbought (OB) and Oversold (OS). 📌 Entry conditions: Buy Signal → RSI crosses upward through OS and the last closed candle is higher than the previous candle. Sell Signal → RSI crosses downward through OB and the last closed candle is lower than the previous candle. 2. Heiken Ashi Candles Custom Heiken Ashi values are calculated: haOpen, haClose, haHigh, haLow. Candles are colored green (if haClose > haOpen) or red (if haClose < haOpen). Helps smooth price action and highlight trend direction. 3. Alerts alertcondition is set for both Buy and Sell signals. Users can create TradingView alerts that trigger whenever a new signal appears. 4. Signals & Labels A green up arrow is plotted under the candle when a Buy signal is triggered. A red down arrow is plotted above the candle when a Sell signal is triggered. Additionally, labels ("Buy" or "Sell") are added at the respective candle to make signals more visible. 📝 How to Use Add the indicator to your chart (it overlays directly on price). Adjust inputs: OB (Overbought) → e.g. 20 OS (Oversold) → e.g. -20 RSI Length → e.g. 7 Watch for signals: Buy Signal → Green arrow + "Buy" label → potential bullish entry. Sell Signal → Red arrow + "Sell" label → potential bearish entry. Set up alerts in TradingView to be notified when new signals appear. ✅ Benefits Combines RSI confirmation + Heiken Ashi trend filter + Clear chart labels. Reduces false signals by requiring both RSI cross and strict close confirmation. Easy to interpret visually with arrows and text labels. ⚠️ Notes This indicator is meant as a signal confirmation tool, not a standalone strategy. Best used alongside support/resistance analysis, price action, or volume. Does not provide automatic stop loss / take profit levels → risk management must be applied by the trader.
Pine Script® indicator
by Topview1817
2
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
Pine Script® indicator
by Yasser_Mahmoud