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المؤشرات والاستراتيجيات

Auto Trend Channel with Fibonacci‼️ PLEASE USE WITH LOG CHART 🟠 Overview This indicator introduces a novel approach to trend channel construction by implementing a touch-based validation system that ensures channels actually function as dynamic support and resistance levels. Unlike traditional linear regression channels that simply fit a mathematical line through price data, this indicator validates channel effectiveness by measuring how frequently price interacts with the boundaries, creating channels that traders can reliably use for entry and exit decisions. 🟠 Core Idea: Touch-Based Channel Validation The fundamental problem with standard regression channels is that they often create mathematically correct but practically useless boundaries that price rarely respects. This indicator solves this by introducing a dual-scoring optimization system that evaluates each potential channel based on two critical factors: Trend Correlation (70% weight): Measures how well prices follow the overall trend direction using Pearson correlation coefficient Boundary Touch Frequency (30% weight): Counts actual instances where price highs touch the upper channel and lows touch the lower channel This combination ensures the selected channel not only follows the trend but actively serves as support and resistance. 🟠 Trading Applications Trend Following Strong Uptrend: Price consistently bounces off lower channel and Fibonacci levels Strong Downtrend: Price repeatedly fails at upper channel and Fibonacci resistance Trend Weakening: Price fails to reach channel extremes or breaks through Entry Strategies Channel Bounce Entries: Enter long when price touches lower channel with confirmation; short at upper channel touches Fibonacci Retracement Entries: Use 38.2% or 61.8% levels for pullback entries in trending markets Breakout Entries: Trade breakouts when price closes beyond channels with increased volume 🟠 Customization Parameters Automatic/Manual Period: Choose between intelligent auto-detection or fixed lookback period Touch Sensitivity (0.1%-10%): Defines how close price must be to count as a boundary touch Minimum Touches (1-10): Filter threshold for channel validation Adaptive Deviation: Toggle between calculated or manual deviation multipliers
مؤشر Pine Script®
من ‎osprey0‎
ARVELOV EMA 8/15/40/200/400ARVELOV EMA 8/15/40/200/400 This script plots five Exponential Moving Averages (EMAs) on the price chart to help identify market trends and potential trade opportunities. EMA 8 (#ffeb3b, Yellow, linewidth 4) → Very short-term trend, reacts quickly to price changes. EMA 15 (#00bcd4, Light Blue, linewidth 4) → Short-term trend, smoother than EMA 8. EMA 40 (#e91e63, Magenta, linewidth 4) → Medium-term trend, useful for swing trading signals. EMA 200 (#ff9800, Orange, linewidth 4) → Long-term trend, commonly used to identify overall market direction. EMA 400 (#2862ff, Blue, linewidth 4) → Very long-term trend, often used as a strong support/resistance guide. The script provides clear, color-coded moving averages with bold line widths for better visibility on charts.
مؤشر Pine Script®
من ‎arvelov‎
XAUUSD/SPX Slope IndicatorThe XAUUSD/SPX Slope Indicator for TradingView calculates the slope of the XAUUSD (Gold) to SPX (S&P 500) ratio using linear regression over a customizable lookback period (default 20 bars). It plots the slope to show whether Gold is outperforming or underperforming the S&P 500, with a positive slope indicating Gold's strength and a negative slope favoring stocks. A zero line and color-coded background (green for positive, red for negative) enhance readability, making it a useful tool for analyzing relative market trends. Ensure your platform supports XAUUSD and SPX symbols.
مؤشر Pine Script®
من ‎bfrahm73‎
Financial Risk AlphaHere’s the description in English, formatted with ` ` for TradingView: --- \ Financial Risk Alpha\ is a macroeconomic indicator that tracks weekly changes in the \ NFCI Risk Index\ (Federal Reserve). It translates shifts in financial conditions into an easy-to-read histogram: * \ Green bars\ → Loosening of financial conditions (risk-on environment). * \ Red bars\ → Tightening of financial conditions (increased systemic risk). * \ Background shading\ in translucent green/red (CS Alpha style), highlighting the prevailing liquidity regime. * \ Visual signals\ : \ green arrows below\ the price when conditions flip to risk-on, and \ red arrows above\ the price when conditions flip to risk-off. \ Usage\ : Financial Risk Alpha is designed for traders and analysts seeking to align their strategies with global financial risk dynamics. It serves as an \ early warning tool\ for shifts in risk appetite, helping anticipate potential turning points in the market.
مؤشر Pine Script®
من ‎hernandesnogueira‎
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action 1. Introduction 1.1 Overview ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active. The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured: import TradingView/ta/10 as tvta // Determine lower timeframe string based on user choice and chart resolution string lower_tf_breakout = use_custom_tf_input ? custom_tf_input : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" // Request up/down volume (both positive) = tvta.requestUpAndDownVolume(lower_tf_breakout) Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity. Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate. Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history. Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”) 2. Price‑Structure Backbone Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations. 2.1 What it draws • Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded. • Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly. • Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels. • Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick. 2.2 Key settings • length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels. • pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings. • point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded. • label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price. • Styling inputs for trend lines, horizontal lines and labels (color, width and line style). Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots. These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle. The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable. 3. Breakout Module 3.1 Concept This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled. 3.2 Inputs • lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly. • vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout. • rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution. • ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases). • use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe. • Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width. 3.3 Detection logic 1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume. 2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window. 3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive. 4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history. 5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1). 6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector. Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move. Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold. 4. Market Phase Module (Volume Only) 4.1 Concept Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table. 4.2 Inputs • phase_period_len: Number of bars over which to compute sums and ratios for phase detection. • phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume. • strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation). • Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles. • show_phase_module: Toggles the entire phase detection subsystem. • show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected. 4.3 Detection logic The module computes three families of statistics over the volume window defined by phase_period_len: 1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends. 2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction. 3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues. The algorithm then combines these signals: • For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case. • For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category. If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” . 4.4 Outputs • Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral). • On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences. Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began. Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window. 5. OB/OS Spike Module 5.1 What overbought/oversold means here In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate. 5.2 Inputs • minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print. • syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals. • Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike. • Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable. • Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width. 5.3 Detection logic 1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos. 2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS. 3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold). 4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought. 5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line. Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels. Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow. 6. Buyer/Seller Trap Module 6.1 Concept A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps. 6.2 Inputs • trap_lookback_len: Window length used to rank extremes and detect sweeps. • trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep. • trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.) • trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed. • Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps. • Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart. 6.3 Scoring logic The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped): 1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick. 2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick. 3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand. 4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa. 5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average. The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars. Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label. Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range. 7. Sharp Move Module 7.1 Concept Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation. 7.2 Inputs • sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels. • sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window. • sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax. • sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks. • sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range). • sharpScoreRisk: Minimum number of conditions that must be true to print a risk label. • sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation. • sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution). • Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves. • Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn. 7.3 Conditions (six per side) For each side, the indicator computes six boolean conditions and sums them to form a score: 1. Dominance (instant and cumulative): – Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume. – Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks). 2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish). 3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window. 4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range). 5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile. 6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed. Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores. 7.4 Scoring and labels • Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar. • Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1). • Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled. Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move. Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window. 8. Market‑Maker / Spread‑Capture Module 8.1 Concept Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets. 8.2 Inputs • scalpLookback: Window length used to compute volume averages. • scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple. • scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement. • scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%. • Label settings: ATR length, multiplier, size, colors, connector style and width. • Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels. 8.3 Signal When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled. Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window. 9. Money Flow Module 9.1 Concept To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow. 9.2 Inputs • mf_period_len_mf: Number of bars used for summing buy and sell dollars. • Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width. • Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed. 9.3 Calculations • Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $. • Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum(). • Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate. • Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences. Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context. In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period. 10. Info Table 10.1 Purpose When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active. 10.2 Symbols • ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money. • MA — Moving average. In the table it shows the average value of a series over the lookback period. • Σ (Sigma) — Cumulative sum over the chosen lookback period. • Δ (Delta) — Difference between buy and sell values. • B / S — Buyer and seller share of total volume, expressed as percentages. • Ref. Price — Reference price for breakout calculations, based on the latest pivot. • Status — Indicates whether a breakout condition is currently active (True) or has failed. 10.3 Row definitions 1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period. 2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity. 3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period. 4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume. 5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period. 6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume. 7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more. 8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed. 9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral. 10. Money Flow – The final rows display dollar amounts and status: – ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period. – ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum. – Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively. – Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral. – Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral. The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out). 11. Conclusion & Final Remarks This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart. A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window. Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
مؤشر Pine Script®
من ‎ata_sabanci‎
10
ATEŞ TREND TAKİBİI will continue to improve this based on your feedback. Remember, indicators only provide insights; they do not guarantee results. Success ultimately depends on your own effort and discipline. This system is designed to combine the data from multiple classic indicators in order to identify the most favorable entry points. In other words, rather than relying on a single signal, it merges the outputs of different indicators to offer more reliable insights.
مؤشر Pine Script®
من ‎ATES-19‎
SAP121212 — Close vs VWAP + Optional RSI (Signals)This indicator combines Supertrend, VWAP with bands, and an optional RSI filter to generate Buy/Sell signals. How it works Supertrend Flip (ATR-based): Detects when trend direction changes (from bearish to bullish, or bullish to bearish). VWAP Band Filter: Signals only trigger if the candle close is beyond the VWAP bands: Buy = Supertrend flips up AND close > VWAP Upper Band Sell = Supertrend flips down AND close < VWAP Lower Band Optional RSI Filter: Buy requires RSI < 20 Sell requires RSI > 80 Can be enabled/disabled in settings. Features Choice of VWAP band calculation mode: Standard Deviation or ATR. Adjustable ATR/StDev length and multiplier for VWAP bands. Toggle Supertrend, VWAP lines, and Buy/Sell labels. Alerts included: add alerts on BUY or SELL conditions (use Once Per Bar Close to avoid intrabar signals). Use Works best on intraday or higher timeframes where VWAP is relevant. Use the RSI filter for more selective signals. Can be combined with your own stop-loss and risk management rules. ⚠️ Disclaimer: This script is for educational and research purposes only. It is not financial advice. Always test thoroughly and trade at your own risk.
مؤشر Pine Script®
من ‎InvestingIsBoring‎
ICT SIlver Bullet Trading Windows UK times🎯 Purpose of the Indicator It’s designed to highlight key ICT “macro” and “micro” windows of opportunity, i.e., time ranges where liquidity grabs and algorithmic setups are most likely to occur. The ICT Silver Bullet concept is built on the idea that institutions execute in recurring intraday windows, and these often produce high-probability setups. 🕰️ Windows London Macro Window 10:00 – 11:00 UK time This aligns with a major liquidity window after the London equities open settles and London + EU traders reposition. You’re looking for setups like liquidity sweeps, MSS (market structure shift), and FVG entries here. New York Macro Window 15:00 – 16:00 UK time (10:00 – 11:00 NY time) This is right after the NY equities open, a key ICT window for volatility and liquidity grabs. Power Hour Usually 20:00 – 21:00 UK time (3pm–4pm NY time), the last trading hour of NY equities. ICT often refers to this as another manipulation window where setups can form before the daily close. 🔍 What the Indicator Does Draws session boxes or shading: so you can visually see the London/NY/Power Hour windows directly on your chart. Macro vs. Micro time frames: Macro windows → The ones you set (London & NY) are the major daily algo execution windows. Micro windows → Within those boxes, ICT expects smaller intraday setups (like a Silver Bullet entry from a sweep + FVG). Guides your trade selection: it tells you when not to hunt trades everywhere, but instead to wait for price action confirmation inside those boxes. 🧩 How This Fits ICT Silver Bullet Trading The ICT Silver Bullet strategy says: Wait for one of the macro windows (London or NY). Look for liquidity sweep → market structure shift → FVG. Enter with defined risk inside that hour. This indicator essentially does step 1 for you: it makes those high-probability windows visually obvious, so you don’t waste time trading random hours where algos aren’t active.
مؤشر Pine Script®
من ‎muddydefenders‎
SuperTrendSAP1212This indicator combines Supertrend, VWAP with bands, and an optional RSI filter to generate Buy/Sell signals. How it works Supertrend Flip (ATR-based): Detects when trend direction changes (from bearish to bullish, or bullish to bearish). VWAP Band Filter: Signals only trigger if the candle close is beyond the VWAP bands: Buy = Supertrend flips up AND close > VWAP Upper Band Sell = Supertrend flips down AND close < VWAP Lower Band Optional RSI Filter: Buy requires RSI < 20 Sell requires RSI > 80 Can be enabled/disabled in settings. Features Choice of VWAP band calculation mode: Standard Deviation or ATR. Adjustable ATR/StDev length and multiplier for VWAP bands. Toggle Supertrend, VWAP lines, and Buy/Sell labels. Alerts included: add alerts on BUY or SELL conditions (use Once Per Bar Close to avoid intrabar signals). Use Works best on intraday or higher timeframes where VWAP is relevant. Use the RSI filter for more selective signals. Can be combined with your own stop-loss and risk management rules. ⚠️ Disclaimer: This script is for educational and research purposes only. It is not financial advice. Always test thoroughly and trade at your own risk.
مؤشر Pine Script®
من ‎InvestingIsBoring‎
CycleVISION [BitAura]𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 This Pine Script® indicator combines a long-term trend-following strategy with a cycle valuation Z-score analysis to generate a Trend Probability Indicator (TPI). The TPI aggregates signals from multiple trend and on-chain metrics to identify optimal entry and exit points for a single asset, with USD as a cash position. The system also calculates a comprehensive Z-score based on performance and valuation metrics to assess market cycles, aiming to enhance risk-adjusted returns for long-term investors. Logic and Core Concepts The 𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 System uses two primary components to guide investing decisions: 1. Trend Probability Indicator (TPI) Mechanism : Aggregates five proprietary, universal, trend signals and three on-chain metrics into a composite TPI score, normalized between -1 and 1. Thresholds : Enters a long position when the TPI score exceeds a user-defined long threshold (default: 0.0) and exits to cash when it falls below a short threshold (default: -0.5). Execution : Trades are executed only on confirmed bars within a user-specified backtest date range, ensuring robust signal reliability. 2. Cycle Valuation Z-Score Mechanism : Computes an average Z-score from six metrics: Sharpe Ratio, Sortino Ratio, Omega Ratio, Weekly RSI, Crosby Ratio, and Price Z-Score, using a 1200-bar lookback period. Purpose : Identifies overvalued or undervalued market conditions to complement TPI signals, with thresholds at ±1.8 for extreme valuations. Visualization : Displays the average Z-score and individual components, with gradient-based bar coloring to reflect valuation strength. Features Dynamic Trend Signals : Combines trend and on-chain data into a single TPI score for clear long/cash decisions. Comprehensive Valuation : Calculates Z-scores for multiple performance and price metrics to assess market cycles. Customizable Inputs : Allows users to adjust TPI thresholds, backtest date ranges, and valuation metrics visibility. Visual Outputs : Valuation Table : Displays TPI score, Z-scores, and performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit) in a configurable table (Lite, Medium, Full). Equity Curve : Plots the system’s equity curve compared to buy-and-hold performance. Price and TPI Plot : Overlays TPI-adjusted price bands with glow effects and filled gaps for trend visualization on the price chart. Valuation Coloring : Applies backgrounds based on Z-score ranges (e.g., strong buy above 1.8, strong sell below -1.8). Configurable Alerts : Notifies users of TPI signal changes (Long to Cash or Cash to Long) with detailed messages. Color Presets : Offers five color themes (e.g., Arctic Blast, Fire vs. Ice) or custom color options for long/short signals. Pine Script v6 : Leverages matrices, tables, and gradient coloring for enhanced usability. How to Use Add to Chart : Apply the indicator to any chart (the chart’s ticker is used for calculations, e.g., INDEX:BTCUSD ). Configure Settings : Adjust TPI thresholds, backtest start date (default: 01 Feb 2018), and valuation metrics visibility in the Inputs menu. Select Color Theme : Choose a preset color mode (e.g., Arctic Blast) or enable custom colors in the Colors group. Monitor Outputs : Check the Valuation Table for TPI and Z-score data, and view the Price and TPI Plot for trend signals. Analyze Performance : Enable the equity curve and performance metrics in the Backtesting Options group to compare results. Set Alerts : Right-click a plot, select "Add alert," and choose "Trend Change: Long to Cash" or "Trend Change: Cash to Long" for notifications. The system is optimized for daily timeframe and tested across various assets to ensure robustness. Notes The script is closed-source. Use a standard price series (not Heikin Ashi or other non-standard types) for accurate results. The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls. A minimum 1200-bar lookback is mandatory for Z-score calculations to avoid errors, with warnings displayed if insufficient price history is available. The BitAura watermark can be toggled in the Table Settings group. Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
استراتيجية Pine Script®
من ‎BitAura‎
RotationSUITE [BitAura]𝐑otation𝑺𝑼𝑰𝑻𝑬 This Pine Script® indicator is a dynamic, multi-asset rotation system designed to optimize portfolio allocation by selecting the strongest-performing cryptocurrency from a user-defined basket of up to four assets, with USD as a cash position. By leveraging two complementary relative strength strategies and a proprietary Confidence Score, the system adapts to changing market conditions to aim for superior risk-adjusted returns compared to a buy-and-hold approach. Logic and Core Concepts The system’s goal is to allocate capital to the strongest asset at any given time, dynamically switching between two strategies based on market conditions: 1. Ratios System (Primary Strategy) Mechanism : Performs relative strength analysis by evaluating the trend of each asset pair (e.g., BTCUSD/ETHUSD, BTCUSD/SOLUSD) using a universal trend-capturing function. Scoring : Each asset earns points based on how many other assets (including USD) it outperforms. Allocation : Allocates 100% of the portfolio to the asset with the highest score, following a "long the strongest" approach. 2. Alpha System (Defensive Strategy) Mechanism : Measures each asset’s alpha (excess return relative to market risk, or beta) against a broad market benchmark. A fast trend-following model confirms momentum. Allocation : Allocates to the asset with the highest positive alpha and confirmed momentum, or to USD if no asset meets the criteria. 3. Confidence Score (Decision Engine) Monitors the Ratios System’s performance. High Confidence : Uses the Ratios System for allocation during strong trends. Low Confidence : Switches to the Alpha System or USD during choppy or corrective markets. Features Dynamic Strategy Switching : Seamlessly transitions between Ratios and Alpha systems based on the Confidence Score. Customizable Asset Basket : Supports up to four user-defined crypto assets (e.g., INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , CRYPTO:SUIUSD ). Comprehensive Visuals : Performance Metrics Table : Displays Sharpe, Sortino, Omega, Max Drawdown, and Profit Factor for the system, its sub-strategies, and individual assets’ buy-and-hold performance. Rotation Matrix : Shows pairwise trend scores for the Ratios System and alpha/trend data for the Alpha System. Allocation Table : Indicates the current portfolio allocation (in %). Equity Curve Analysis : Plots equity curves for the system, sub-strategies, and buy-and-hold for comparison. Configurable Alerts : Notifies users of changes in allocation or Confidence Score. Pine Script v6 : Utilizes advanced features like matrices and table formatting for enhanced usability. How to Use Add to Chart : Apply the indicator to any chart (the chart’s ticker does not affect calculations). Configure Assets : In the settings ( Inputs -> Majors Rotation System Tickers ), define up to four crypto assets. Defaults include INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , and CRYPTO:SUIUSD . Set Allocation Type : Choose Aggressive (100% to top asset), Moderate (80/20 split), or Conservative (60/40 split) in the settings. Monitor Output : The Portfolio Allocations table shows the current allocation. Use the Performance Metrics and Rotation Matrix tables for deeper insights. Analyze Equity : Enable equity curve plots in the settings to visualize performance. Set Alerts : Right-click a plot, select "Add alert," and choose "Confidence Score changed" or "Calculated Portfolio Allocations Changed" to receive notifications. The system uses robust trend and alpha functions, tested across various timeframes (4h, 8h, 12h) and asset pools to ensure reliability. Notes The script is closed-source Ensure the chart uses a standard price series (not Heikin Ashi or other non-standard types) for accurate results. The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls. Performance metrics are calculated only on the last confirmed bar to optimize runtime efficiency. Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
مؤشر Pine Script®
من ‎BitAura‎
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time. What this indicator does Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that: ⦁ Finds accumulation/distribution ranges and tracks Phases A–E. ⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.). ⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias. ⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range. ⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters). ⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state. It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions. How it works (methods & calculations) 1) Range & Phase model ⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds. ⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range. ⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context. 2) Wyckoff & VSA event engine ⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps. ⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds. 3) Smart-money (CO) Strength ⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA. ⦁ Persistent accumCount / distCount counters smooth temporary noise. 4) Divergence & Effort-vs-Result ⦁ Price vs. cum volume-delta divergence highlights weakening pushes. ⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable. 5) Volume Profile (inside range) ⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves. 6) Multi-Timeframe (MTF) safety ⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na. ⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime). 7) Signals & risk model ⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context). ⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D). ⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes. ⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts. ⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam). Inputs (key ones you’ll actually use) ⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard. ⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current). ⦁ Range Detection: period / min bars / pivot strength. ⦁ VSA: volume sensitivity & climax multiplier. ⦁ Signal Settings: minimum confidence, risk/reward labels. ⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg). ⦁ Colors: phase backgrounds, structure colors, and line styling. How to use (practical flow) 1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context). 2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H). 3. Wait for a range to form; watch Phase and CO Strength on the Dashboard. 4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines. 5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup. On-chart legend (what the letters mean) Wyckoff events (labels) ⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test ⦁ Spring Spring; Test Test of Spring ⦁ SOS Sign of Strength; LPS Last Point of Support ⦁ PSY Preliminary Supply, BC Buying Climax ⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply ⦁ TS Terminal Shakeout; MS Multiple Spring ⦁ CJ Creek Jump; IJ Ice Jump ⦁ mSOS / mSOW Minor Sign of Strength/Weakness VSA patterns (tiny labels) ⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax ⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up ⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust Other visuals ⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles ⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area) ⦁ VWAP and Dynamic S/R (stepline) ⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met) ⦁ Risk label near the triangle: confidence /10 and R:R Alerts included ⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown. Notes, limits & best practices ⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria. ⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this. ⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation. ⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered. Changelog (what’s new in this version) ⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results). ⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits. ⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly. ⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise. ⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod). Disclaimer This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
مؤشر Pine Script®
من ‎RizwanFXCoder‎
Turtle Body Setup by TradeTech AnalysisOverview Turtle Body Setup is a minimalist, rules-based pattern detector built around a simple idea: a sequence of shrinking candle bodies (compression) often precedes a directional expansion (breakout). The script identifies those compression phases and then flags the first candle whose body expands significantly beyond the recent average, with polarity taken from the candle’s direction. This is not a mash-up of many public indicators. It focuses on one original micro-structure concept: strict body-contraction → body-expansion . The logic is fully described below so traders and moderators can understand what it does and how to use it. How it Works 1. Compression detection (body contraction): • Over a user-defined window Compression Lookback (N), the script counts strictly shrinking candle bodies (|close-open|). • When the count ≥ Min Shrinking Candles, we mark the market as in compression. 2. Expansion / Breakout qualification: • Compute avgBody = SMA(body, N). • A candle is a breakout when current body > avgBody × Breakout Body Multiplier. • Polarity: green (close>open) → Bullish breakout; red (close
مؤشر Pine Script®
من ‎TradeTechanalysis‎
Monthly VWAPDescription This indicator identifies potential mean reversion opportunities by tracking price deviations from monthly VWAP with dynamic volatility-adjusted thresholds. Core Logic: The indicator monitors when price moves significantly away from monthly VWAP and looks for potential reversal opportunities. It uses ATR-based dynamic thresholds that adapt to current market volatility, combined with volume confirmation to filter out weak signals. Key Features: Adaptive Thresholds: ATR-based bands that adjust to market volatility Volume Confirmation: Requires average volume spike to validate signals Monthly Reset: VWAP anchors reset each month for fresh reference levels Visual Clarity: Color-coded deviation line with background highlights for active signals Info Panel: Shows days from anchor and current price context vs fair value Signal Generation: Buy Signal: Price below monthly VWAP by threshold amount with elevated volume Sell Signal: Price above monthly VWAP by threshold amount with elevated volume Neutral: Price within threshold range or insufficient volume Best Used For: Mean reversion strategies in ranging markets Identifying potential oversold/overbought conditions Understanding price position relative to monthly fair value
مؤشر Pine Script®
من ‎Mihkel00‎
1
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals. Core Concepts & Why They’re Combined 1. PO3 Range Framework Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187). ⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility. ⦁ This gives a stable “map” of the active trading area and its boundaries. 2. Goldbach Levels (Pure Hopiplaka implementation) For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range. ⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting. ⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels. 3. Tesla Vortex (trend/phase strength) A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution). ⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc. 4. ICT Integration (AMD, IPDA bias hooks) A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state. 5. Time Confluence (Goldbach time) Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted. 6. Volume & Liquidity Context A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps. Why this mashup? The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels. What You’ll See on the Chart ⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly. ⦁ Goldbach Levels: horizontal lines colored by classification and context: ⦁ Premium (strong premium band), Standard, Discount ⦁ OB (Order-Block candidate), LV (Liquidity Void) ⦁ TESLA node (trend/phase aligned) ⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences. ⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance). ⦁ Markers ⦁ ▲ Buy arrow below bar when a Buy signal triggers ⦁ ▼ Sell arrow above bar when a Sell signal triggers ⦁ ● Small dot when price touches a Goldbach level ⦁ Data-window plots: ⦁ Tesla Vortex Strength (numeric) ⦁ Time Bias (positive = bullish, negative = bearish) ⦁ Volume Bias (+1 high / −1 low) ⦁ Signal Strength (+ for buy / − for sell, zero when no signal) ⦁ Label Legend (on level tags) ⦁ TESLA – Tesla-aligned level node ⦁ OB – Order-block-quality zone ⦁ LV – Liquidity-void zone ⦁ Premium / Standard / Discount – Level class ⦁ Gxx – Even number used to build the level (Goldbach reference) ⦁ Reliability – Final score after time/volume/tesla weighting ⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength) How Signals Are Generated A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count): 1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell). 2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias). 3. Goldbach time bias supports the direction. 4. Volume bias supportive (high-volume context boosts conviction). 5. Level quality (TESLA node or Premium class) is high. 6. Momentum alignment (recent 2–3 bars in the same direction). Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats. Inputs (key ones) ⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance. ⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes. ⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off. ⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback. ⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection. ⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays. ⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit). Alerts Included ⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated” ⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert” ⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion” ⦁ State Changes: “Tesla Vortex Phase Change” ⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence” You can wire these to webhooks or notifications. Suggested Workflow 1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially. 2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars). 3. Keep Time and Volume modules ON for additional reliability weighting. 4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules. 5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume. Practical Notes & Limitations ⦁ The mathematical framework is deterministic, but market execution is not—always manage risk. ⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops. ⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design). Disclaimer This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
مؤشر Pine Script®
من ‎RizwanFXCoder‎