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Ultimate Trading Suite🎯 ICT Concepts: Market Maker Model - Liquidity identification Order Blocks - High volume reversal zones Fair Value Gaps - Price imbalance areas Liquidity Zones - Previous highs/lows 📊 Trading Signals: Buy/Sell Alerts based on ICT concepts Entry Price with confirmation Stop Loss based on ATR multiples 3 Price Targets with customizable risk/reward 📈 Reversal Zones: High Volume Reversal - Potential exhaustion points Low Volume Reversal - Accumulation/distribution zones Liquidity Takeout - Break of key levels ⚡ Risk Management: Adjustable Risk/Reward ratio ATR-based stop loss Multiple profit targets Visual trade setup display 🔔 Comprehensive Alerts: Buy/Sell signals with reasons Reversal zone notifications Complete trade setup details Real-time alert conditions The script provides complete ICT-based trading signals with proper risk management and visual trade setups!
อินดิเคเตอร์ Pine Script®
โดย lohanineeraj
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.
อินดิเคเตอร์ Pine Script®
โดย ata_sabanci
12
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.
อินดิเคเตอร์ Pine Script®
โดย 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.
อินดิเคเตอร์ Pine Script®
โดย InvestingIsBoring
[ACR]AudenFX Fractal ModelOverview A multi-timeframe market-structure tool that detects ACR (C1→C5) fractal patterns on a higher timeframe (HTF), projects their key levels down to your execution timeframe, and summarizes context in a clean, monochrome status table. It blends ACR, CE→previous H/L zones, CISD confirmation, Liquidity (BSL/SSL), and bias-aligned LTF FVGs—plus an automatic Daily Bias—into one consistent workflow. Why Traders Use It Objective structure: ACR identification with clear labels and sweep levels. Top-down alignment: HTF context projected to LTF for actionable execution. Clarity under pressure: Minimalist, monochrome visuals and a compact terminal table. Bias discipline: Daily Bias and CISD help avoid counter-trend traps. Low clutter, high signal: Liquidity and projections are capped and styled for focus. What It Plots ACR Detection (C1→C5): Candle indices, sweep line at the swept level, and mid-lines per leg. CE → Previous High/Low Zones: Dynamic zones tied to the active ACR phase. ACR Projections (to LTF): HTF sweep levels projected onto your LTF (limited to 5 live separators for chart cleanliness). CISD Lines: Lightweight confirmation for bullish/bearish context. Liquidity (BSL/SSL): From HTF1 pivots; fixed styling (black, width 1, solid), simple ON/OFF. LTF FVG (Bias-Aligned): Only renders when aligned with active ACR direction. Terminal Status Table: PAIR, TF (Chart→HTF1), ACR, HTF CISD, and DAILY BIAS. Daily Bias (automatic): Combines DO positioning, PDH/PDL sweeps, and H1 structure (swing/EMA) to produce BULLISH/BEARISH/NEUTRAL—displayed in the table only (no settings to overfit). How To Use Enable HTF1 and ACR ; watch for a valid C2 close and the sweep level. Track ACR phase and CE → prev H/L zones as the sequence evolves (C2→C5). Confirm with CISD and the Daily Bias ; add Liquidity for targets/invalidations. Execute on LTF FVG in the direction of the active ACR/projection for mechanical entries. Inputs & Options (summary) Timeframe: HTF1 (detection + alerts), optional HTF2 (visual only). Candles: Monochrome bodies, border/wick, and HTF candle count. ACR: Enable/disable detection. Zones: CE→previous H/L. Indicators: LTF FVG (bull/bear), CISD. Visual: ACR projections (capped at 5 live separators), HTF1 period boxes. Liquidity: ON/OFF only—style is fixed (black, width 1, solid). Alerts: ACR C2-close alert with concise terminal-style message. Alerts ACR – C2 Close: Fires when the HTF1 C2 candle closes validly. Payload includes Pair, TF, ACR, CISD, and time in a compact table format. Status Table (legend) PAIR — current symbol TF — chart TF → HTF1 ACR — BULLISH / BEARISH / NONE HTF CISD — BULL / BEAR / NEUTRAL DAILY BIAS — BULLISH / BEARISH / NEUTRAL Notes All HTF requests use lookahead_off for live consistency. Liquidity is hard-coded for a consistent visual language. Daily Bias is always on and table-only to reduce user tweaking and bias. Backtest and manage risk according to your plan. Credit Fractal Model by TTrades, MMXM Trader.
อินดิเคเตอร์ Pine Script®
โดย AudenFX
CNS - RSI CandlesPlots RSI candles instead of a line, although user still has option to use line type RSI. My version corrects inconsistencies I have found in all the other available RSI candle indicators and should be more accurate. Both options allow use of fast and slow double EMAs for crossover strategies. User also has the option to apply Heikin-Ashi smoothing to the RSI candles without having to use Heikin-Ashi candles on the main price chart for the underlying ticker.
อินดิเคเตอร์ Pine Script®
โดย chicagonativeson
Chanlun ZSLX pen czsc Channel Chan Theory🏆 Chanzhongshuochan (CZSC) ZSLX Recursive Version Indicator - Flagship Edition Background A Decade of Craftsmanship, a Major Upgrade This Chanzhongshuochan (Chan Theory) indicator has undergone nearly 10 years of meticulous refinement and continuous optimization. Since its initial design in 2015, it has been validated through real trading practice. Now, it makes its debut on TradingView with a brand-new upgrade, featuring more comprehensive functions and superior performance. It truly implements all core theories from the original Chan Theory texts, including a complete system covering candlestick containment processing, fractal identification, pen-segment analysis, pivot zone theory, trading signal (buy/sell point) positioning, and divergence analysis. It serves as a professional and all-encompassing technical analysis tool for Chan Theory enthusiasts in the industry. 🎯 Chinese Translation for User Indicator Interface: ● 顶背离: Top Divergence ● 底背离: Bottom Divergence ● 顶背驰: Top Divergence Including Trend Structure ● 底背驰: Bottom Divergence Including Trend Structure ● 趋势: Trend ● 盘整: Consolidation ● 扩张: Expansion ● 大级别盘整: Higher-Timeframe Consolidation ● 一买: First Buy Signal ● 二买: Second Buy Signal ● 类二买：Quasi-Second Buy Signal ● 三买: Third Buy Signal ● 一卖: First Sell Signal ● 二卖: Second Sell Signal ● 类二卖：Quasi-Second Sell Signal ● 三卖: Third Sell Signal 📦 Parameter Settings ● Number of Candlesticks for Calculation: Up to 5,000 candlesticks. Even free TradingView users are limited to this data volume. ● Pen Detail Parameters: Adjustable options include "Old Pen", "New Pen", "Pen Based on Secondary High/Low", "Pen Based on Absolute High/Low", and "Strict Pen". Select via numerical options corresponding to each type. ● MA (Moving Average) and Bollinger Bands Display Parameters: Check the box to enable display; uncheck to hide (configure as needed). ● Pivot Zone Price & Pen-Segment Price Display: Check the box to enable display; uncheck to hide (configure as needed). ● MACD Parameters: Adjustable according to personal needs (set the periods for fast EMA, slow EMA, and signal line). ● MA Parameters: Default values can be manually adjusted. ● Pen Divergence, Segment Divergence, & Pen-Segment Divergence Display: Check the box to enable display; uncheck to hide (configure as needed). ● Pen-Segment Divergence Alert: Disabled by default. Enable by checking the box. To set up alerts: a. Go to TradingView’s "Alerts" interface. b. Under "Condition", select this indicator. c. Choose "Any alert() function call". d. Set the notification type, then create the alert to receive notifications. 🔥 Integration of Other Common Indicators & Rationale ● ✅ Moving Average (MA): Chan Theory inherently uses MA overlay for analysis. Adding MA here allows users to analyze price trends from multiple perspectives, making it an essential inclusion. ● ✅ Bollinger Bands: Combining Bollinger Bands (a price channel tool) with Chan Theory provides additional perspectives for trend analysis and improves accuracy, hence its integration. ● ✅ MACD: A 不可或缺 (indispensable) indicator for analyzing trend strength in Chan Theory. It is integrated to facilitate seamless analysis. ● ✅ Rationale for Integrating Shared Core Code between Two Scripts: The scripts Chanlun ZSLX pen czsc Channel Chan Theory and Chanlun FBFD pen czsc Channel Chan Theory share some underlying code. Here’s why integration is necessary: ○ The core logics of the original Chan Theory — including candlestick containment processing, MACD divergence analysis, candlestick objects, and pen-related calculations — are identical in both scripts. ○ However, significant differences exist in the top-level logics for segment division, trend recursion, display effects, and functions. ○ Additionally, TradingView imposes limits on script code size, making it impossible to fully integrate the two versions’ line-drawing features into one. ○ Therefore, this indicator reuses shared code components, including: ■ The Start_kxian() function (returns candlestick objects), ■ The Start_bi() function (returns pen objects), ■ The showKxianzsfunc() function (draws candlestick-based pivot zones), ■ MACD divergence judgment code. 🎯 Technical Principles 🔥 1. Comprehensive Coverage of Original Chan Theory Functions ● ✅ Real-Time Candlestick Containment Processing – Intelligent Recognition of Containment Relationships ○ In uptrends: Select the higher high and higher low values (prioritize higher extremes). ○ In downtrends: Select the lower high and lower low values (prioritize lower extremes). ● ✅ Accurate Fractal Marking – Automatic Identification of Top/Bottom Fractals ○ When the "Old/New Pen" parameter is set to 2, the high/low points of each top/bottom fractal are plotted. ○ Top Fractal: Among three consecutive candlesticks, the middle candlestick has a higher high and a higher low than the adjacent two. ○ Bottom Fractal: Among three consecutive candlesticks, the middle candlestick has a lower low and a lower high than the adjacent two. ● ✅ Multi-Dimensional Pen-Segment Analysis – Complete System for Pens & Segments ○ Pens: ■ Old Pen: Strictly follows the traditional Chan Theory definition of "pen". ■ New Pen: Adheres to the more flexible "new pen" definition from the original Chan Theory. ■ Fractal Pen: Forms a pen directly from top/bottom fractals (responds to price changes; many peers misclassify this as a "sub-timeframe pen"). ○ Segments: This version adopts a recursive logic. While some single pens are treated as segments (differing from pure segment division), most segment-drawing results align with standard methods — the core difference lies in the line-drawing logic. ● ✅ Multi-Level Pivot Zone Integration – Candlestick-, Pen-, & Segment-Based Pivot Zones ○ Candlestick Pivot Zone: The smallest-level pivot zone in Chan Theory. ○ Pen Pivot Zone: Follows the original Chan Theory for division — the zone’s high is the lowest high of overlapping pens; the zone’s low is the highest low of overlapping pens. ○ Segment Pivot Zone: Follows the original Chan Theory for division — the zone’s high is the lowest high of overlapping segments; the zone’s low is the highest low of overlapping segments. ● ✅ Intelligent Trading Signals – Accurate Positioning of Three Types of Buy/Sell Points ○ Type 1 Buy/Sell Signal ■ Principle: Based on Chan Theory’s "trend divergence" — momentum weakens when a trend structure forms. ■ Analysis Method: Identify bottom divergence (for buys) or top divergence (for sells) in the final pivot zone of a trend structure. ■ Application: For reference only. Comprehensive analysis requires combining momentum decay across multiple timeframes. ○ Type 2 Buy/Sell Signal ■ Principle: The first pullback low (for buys) or rebound high (for sells) after a Type 1 signal concludes. ■ Analysis Method: After a Type 1 structure forms, prices may occasionally break previous lows/highs. ■ Application: For reference only. Comprehensive analysis requires combining momentum decay across multiple timeframes. ○ Type 3 Buy/Sell Signal ■ Principle: A standard Type 3 buy signal occurs when prices break above the first pivot zone after a Type 1 buy, then pull back to test the zone. For ease of monitoring, all "breakout + pullback" patterns are marked as Type 3 signals here. ■ Identification Method: Beginners are advised to trade standard Type 3 structures (post-Type 1 signals), though such structures are relatively rare. ■ Application: For reference only. Comprehensive analysis requires combining momentum decay across multiple timeframes. ● ✅ Divergence Alert – Exclusive Divergence Algorithm ○ Principle: Uses MACD momentum statistics from the original Chan Theory to distinguish between "pen-structure divergence" and "segment-structure divergence". Specific values are labeled on the chart to differentiate MACD momentum for pens vs. segments. More complex statistical features will be added in future updates. For reference on the current timeframe only — multi-timeframe momentum analysis is still required. ● ✅ Trend Structure Recursion – Exclusive Trend Recursion Function ○ Principle: This is a "same-timeframe decomposition" version of trend types. Trends end as close to absolute highs/lows as possible. Some single pens may be treated as segments, resulting in more natural-looking trend structures. ⚙️ Indicator Features 🌟 1. Diverse Pen-Segment Algorithm Engines ● 🎨 Three Pen Algorithms: "Traditional Old Pen", "New Pen", "Top/Bottom Fractal Pen". ● 🔧 Extensive Parameter Adjustments: Fine-grained control over "secondary high/low pens", "fractal range judgment", etc. ● 📊 Dual Recursive Division: Recursion starting from pens + higher-timeframe recursion. ● 🎯 Customizable Parameters: Adapts to different Chan Theory interpretations and trading styles. 🌟 2. Multi-Level Intelligent Integration System ● 📈 Synchronized Calculation & Display: Linked analysis of pens, segments, and advanced recursive segments. ● 🏗️ Exclusive Recursion Algorithm: Accurate identification of advanced recursive segments. ● 🎪 Multi-Level Pivot Zone System: Full coverage of three pivot zone levels (candlestick, pen, segment). ● 📊 Holistic Market Analysis: Provides comprehensive insights into real-time market dynamics. 🎨 3. Professional Visual Customization ● 🌈 Custom Color Schemes: Perfectly matches personal chart styles. ● 💰 Price Label Display: Marks key prices for pens, segments, and pivot zones. ● 📐 Professional Auxiliary Tools: Practical features like MA and Bollinger Bands. ● 🎁 Included MACD: A supporting indicator for the sub-chart. ⏰ 4. Seamless Candlestick Replay Support ● 🔄 Historical Data Review: Fully compatible with TradingView’s replay function. ● 📚 Powerful Market Research Tool: Enhances the ability to analyze historical price trends. ● 🧠 Improved Decision-Making: Deepens market insights and judgment. 📦 Feature & Interface Showcase by Product Version Advanced Recursive Version ⭐ Exclusive Algorithm Suitable for: Advanced Chan Theory users seeking precise trend analysis. Exclusive Features: ● 🚀 Rare Algorithm: A pure recursive version (most competitors only reach segment-level analysis, which is their limit). ● 🎯 Optimized High/Low Points: Trend endpoints are accurately positioned at absolute highs/lows. ● 🏆 Natural Trend Structures: More natural and rational distribution of high/low points. ● 💎 Complete Chan Theory Elements: Covers all core components of Chan Theory. ● ⚡ Rich Pen Details: Extremely detailed processing of pen structures. User Feedback: The preferred version among many senior Chan Theory users, with excellent real-trading performance. Screenshot: --- 🎊 Experience Now & Start Your Professional Chan Theory Analysis Journey! Pre-Purchase Notes Chanzhongshuochan (Chan Theory) is relatively complex. While this software strives to implement all functions from the original texts, minor imperfections or unaddressed details may exist — these will be gradually improved in future updates. ● Users with concerns are advised to test the indicator for a few days first. Purchase only if it meets your needs; otherwise, treat the test as a trial. ● Feedback on issues or bugs is welcome. The developer will update, modify, and optimize the indicator in their spare time. Key Function Screenshots 1. Multi-Level Recursion 2. Candlestick Containment Processing 3. Area Statistics + Pivot Zone High/Low Price Display 4. Multi-Level Consolidation Divergence 5. Overlaid Practical Moving Averages 6. Fractal Pens 7. Candlestick-Based Pivot Zones 8. Dozens of Adjustable Parameters 9. Optional Alert Functions (More to be Added in Future Updates) 10. Trend Structure Markers 🏆 缠中说禅ZSLX 递归版指标 - 旗舰版 背景 十年匠心，重磅升级 这套缠中说禅指标历经近10年的精心打磨与持续优化，从2015年初版设计至今，已经过实战验证。现全新升级登陆TradingView，功能更加完善，性能更加卓越。 真正实现了缠论原文中的所有核心理论，包括K线包含、分型识别、笔段分析、中枢理论、买卖点定位、背离背驰等完整体系，为缠论爱好者提供业界专业、全面的技术分析工具。 📦参数设置 - 计算K线数量：最多计算5000根，免费tradingview用户也只能这么多数据 - 笔细节参数：新旧笔、次高低点笔、最高低点笔、严格笔 可以调整可按标的数字选 - 显示均线和布林线参数：根据需要设置打钩就是显示，取消打钩就是隐藏 - 显示中枢价格和笔段价格：根据需要设置打钩就是显示，取消打钩就是隐藏 - macd参数：可以根据自己需要调整参数 快 慢 信号线周期设置 - 均线参数：默认参数可以自己手动调整 - 显示笔背离、段背离、笔段背驰：根据需要设置打钩就是显示，取消打钩就是隐藏 - 笔段背离背驰报警：默认关闭可以设置打钩开启，然后在tradingview的警报界面，条件里选择指标，设置：任何alert()函数调用，再设置通知类型，然后创建报警就可以收到报警 🔥整合其他常用指标和原因： ✅均线：因为缠论里是有使用均线叠加分析，这种更方便用户从不同视角分析走势，所以必须增加 ✅布林线：布林线通道，结合缠论，也可以更多的视角分析走势，提高准确度，所以也增加了 ✅macd:这个是缠论分析理论里必不可少的分析走势力度的指标，所以也必须整合进来方便分析 ✅Chanlun ZSLX pen czsc Channel Chan Theory这个脚本和Chanlun FBFD pen czsc Channel Chan Theory这个脚本有些底层的源码是一样的必须整合原因： 因为缠论原文底层的K线包含、macd背离背驰、K线对象和笔部分都是一样的，但是顶层的线段和走势递归两种划分原理和显示效果和功能是有很大区别，并且tradingview社区的源码量有限制，导致也无法两个版本划线完全整合成一个，所以，这个脚本里的Start_kxian函数返回的kxian对象、 Start_bi函数返回的bi 对象 、showKxianzsfunc画K线中枢部分的源码、macd背离背驰判断部分代码，会有一样的整合部分源码 🎯 技术原理 🔥 1. 全方位缠论原文功能覆盖 ● ✅ 实时K线包含处理 - 智能识别包含关系 ○ - 上涨K线中取高点高值、低点高值，高高取高 - 下跌K线中取高点低值、低点低值，低低取低 ● ✅ 精准分型标记 - 顶底分型自动识别 ○ - 通过新旧笔参数设置2，会画出每个顶底分型高低点 ○ - 顶分型：三根k线中，中间K线高点高于两侧K线，低点也高于两侧 - 底分型：三根k线中，中间K线低点低于两侧K线，高点也低于两侧 ● ✅ 多维笔段分析 - 笔、线段完整体系 ○ - 老笔：传统缠论严格笔定义，符合原文 - 新笔：传统缠论新笔定义，符合原文宽松笔条件 - 分型笔：顶底分型就成笔，价格反应比较敏锐（同行很多人把本周期分型笔标成次级别） ○ - 线段：这个版本采用递归思路，有的地方一笔处理成段，大部分地方跟纯分段一样，但是划线原理不同 ● ✅ 多级中枢联立 - K线中枢、笔中枢、线段中枢 ○ - K线中枢：最小级别的缠论中枢 - 笔中枢：采用原文的笔中枢划分区间，高点取重叠部分的最低点，低点取重叠部分最高点 - 线段中枢：采用原文的线段中枢划分区间，高点取线段重叠部分的最低点，低点取线段重叠部分最高点 ● ✅ 智能买卖点 - 三类买卖点精准定位 ○ 1类买卖点 - 原理：基于缠论趋势背驰原理，形成趋势结构时候，力度减弱 - 分析方法：通过判断趋势结构中最后中枢形成底背驰 - 应用：只是参考，具体分析需要多周期力度衰减结合判断 2类买卖点 - 原理：基于1类买卖点结束后，第一个回调低点 - 分析方法：在形成一类结构后，有时候也会破低点 - 应用：只是参考，具体分析需要多周期力度衰减结合判断 3类买卖点 - 原理：标准的三买是在1买形成后，突破第一个中枢的第一个回踩，这边为了方便看盘，统一突破回踩就标三买 - 识别方法：新手建议选择一类买点后的标准三买结构操作，但是可能这种结构比较少 - 应用：只是参考，具体分析需要多周期力度衰减结合判断 ● ✅ 背离背驰预警 - 独家背离背驰算法 ○ - 原理：采用缠论原文的macd力度统计，区分笔结构的背离背驰和段结构的背离背驰，并且在图形上标上具体数值，区分笔和段的macd力度，后期这个还要继续升级更复杂的统计，仅做本周期的参考，具体也是要多周期力度分析 ● ✅ 走势结构递归 - 独家走势递归功能 - 原理：走势类型版本，这个是同级别分解版本，走势尽量结束在最高最低点，有的地方可能一笔成段，· 走势更为自然 ⚙️ 指标特点 🌟1. 多样化笔段算法引擎 ○ 🎨 三大笔算法: "传统旧笔"、"新笔"、"顶底分型笔" ○ 🔧 海量参数调节: 次高低笔、分型区间判断等精细化控制 ○ 📊 双重递归划分: 笔开始递归 + 大级别递归 ○ 🎯 个性化参数调整: 满足不同缠友的理解需求与交易风格 🌟 2. 多级别智能联立系统 ○ 📈 同步计算显示: 笔、线段、递归高级段联动分析 ○ 🏗️ 独家递归算法: 高级递归段精准识别 ○ 🎪 多级中枢体系: 三重中枢级别完整覆盖 ○ 📊 全景市场分析: 提供全面的市场动态洞察 🎨 3. 专业视觉定制 ○ 🌈 自定义配色方案 - 完美匹配个人图表风格 ○ 💰 价格标识显示 - 笔、段、中枢关键价位标注 ○ 📐 专业辅助工具 - 均线、布林线等实用功能 ○ 🎁 附带MACD - 配套附图指标 ⏰ 4. 完美K线回放支持 ○ 🔄 历史数据回顾 - 完美支持TradingView回放功能 ○ 📚 市场研究利器 - 提升历史走势分析能力 ○ 🧠 决策能力增强 - 深化市场洞察与判断水平 📦 产品版本功能界面展示 高级递归版 ⭐ 独家算法 适合：高阶缠友，追求极致走势分析 独家特色： ● 🚀 全网罕见算法: 纯递归版本，其他家最多只能设计到分段级别就是极限了 ● 🎯 优化高低点: 走势结束点精准定位最高最低点 ● 🏆 自然走势结构: 高低点分布更加自然合理 ● 💎 完整缠论元素: 涵盖所有缠论核心要素 ● ⚡ 超丰富笔细节: 笔的处理细节极其丰富 🌟 客户反馈: 众多资深缠友首选版本，实战效果卓越 快照 --- 🎊 立即体验，开启专业缠论分析之旅！ 售前说明：缠中说禅理论，相对比较复杂，软件尽量实现原文的功能，但是也难免有些瑕疵地方，无法处理到位，这边后期会陆续完善，介意的客户可以先试用几天，觉得合适再买，不合适就当测试下,欢迎大家反馈问题和bug，掌柜有空会后期更新修改和优化 1.多级别递归 2.K线包含 3.面积统计+中枢高低点价格显示 4.多级别盘整背离背驰 5.叠加实用均线 6.分型笔 7。k线中枢 8.几十个可选参数调整 9，可选的一些报警功能，后期陆续完善，更丰富 10.走势结构标志
อินดิเคเตอร์ Pine Script®
โดย gaoguifeng
1
Cascades & Sloped Lines (RU) • v6How it works • The base trendline is built from the last two confirmed pivot lows (uptrend) and/or pivot highs (downtrend). • “Cascades” are a set of parallel lines above and below the base line, spaced equally: either ATR × multiplier or a fixed percentage of price. • Lines are automatically rebuilt when a new confirmed pivot appears. To avoid overloading the chart, old lines are removed. Useful settings • Increase Pivot Left/Right if you want “larger” swing points. • Switch the step mode to Percent if you want a fixed distance. • Adjust Lines Above/Below to get a “dense” or “sparse” cascade. • Colors and thickness — match them to your style.
อินดิเคเตอร์ Pine Script®
โดย dimaw2000
1
Sigmax - AI Sniper v1.0💵 Sigmax – Signal Maximizer Indicator 💵 Sigmax (AI Sniper v1.0) is an advanced trading indicator powered by AI, designed to optimize entry and exit points. It combines multiple signal models and strategies, giving traders flexibility in different market conditions. 🔑 Key Features: AI Swing Signal – Mid-term Buy/Sell signals with customizable TP/SL for risk management. AI Sniper Signal – High-accuracy short-term signals, ideal for scalping and fast trades. AI Reversal Signal – Detects potential trend reversals to secure exits or capture turning points. AI Order Block Signal – Identifies accumulation/distribution order block zones for strategic entries. AI Trend Line Signal – Automatically draws and alerts based on trendline setups. AI Quantitative Signal – Uses RSI + quantitative filters to detect short-term breakouts/reversals. AI Miracle Signal – A hybrid signal combining multiple algorithms, suited for volatile markets. Risk Signal – Alerts when signals carry higher risk. 📊 Trend & Money Management: Magic Trend & Miracle Trend: AI-powered trend detection for reliable market direction. Support & Resistance Zones: Auto-detects strong and weak levels with customizable sensitivity. Trend Channel: Automatically plots market channels to track price movements. Scalp & Swing TP/SL: Multiple Take Profit & Stop Loss levels (based on % or distance) for capital protection. ⚙️ Flexible Settings: Adjustable AI signal length, RSI, and quantitative thresholds. Enable/disable individual signal types. Customizable colors for uptrend, downtrend, and S/R zones. Risk allocation by percentage for effective money management.
อินดิเคเตอร์ Pine Script®
โดย SIGMAXSIGNAL
1
Chanlun clmacd MACDThe commonly used MACD version in China has default parameters of 12, 26, 9. It is slightly different from the built-in MACD on the official TradingView website but generally similar. This MACD version is tailored to the usage habits of domestic users and is mainly designed to be used in conjunction with my Chanlun Theory indicators. 国内常用的macd版本，默认参数12,26,9，跟tradingview官网自带的有些不同，总体差不多，适合国内用户习惯的版本的macd,主要是配套我这边缠论指标使用
อินดิเคเตอร์ Pine Script®
โดย gaoguifeng
Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP[by Irum]Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP 사용 설명서 (KR/EN Bilingual Manual) 1) 목적 & 정의 / Purpose & Definition KR — 목적 & 정의 이 스크립트는 이격도(Disparity) 와 스토캐스틱(80/20) 의 동시 신호를 활용해 추세 전환/지속 구간의 고확률 진입 시점을 포착하고, ATR 기반 손절/익절(고정 또는 트레일링)로 리스크를 정량화하여 운용 효율을 높이기 위해 설계되었습니다. 핵심 아이디어: 가격이 20MA 대비 ±임계값을 크로스(과열/침체 해소 신호)하고, 스토캐스틱이 80/20을 돌파/이탈(모멘텀 전환 신호)할 때, 두 신호가 동일봉 또는 N봉 내 동기화되면 진입. 청산: ATR×배수를 이용한 고정 TP/SL 또는 ATR 트레일링. EN — Purpose & Definition This strategy combines Disparity (price vs. 20MA) and Stochastic (80/20) to identify high-probability entries when momentum confirms mean-reversion/continuation, while ATR-based stops/take-profits (fixed or trailing) provide quantified risk control. Core Idea: Disparity crosses ±threshold (overbought/oversold release), Stochastic crosses 80/20 (momentum shift), Both conditions sync on the same bar or within N bars → entry. Exits: Fixed ATR TP/SL or ATR trailing. 2) 신호 로직 요약 / Signal Logic Overview KR 롱 진입: Disparity가 −임계값 상향 돌파 & Stochastic 20 상향 돌파가 syncBars 이내에 동시 충족. 숏 진입: Disparity가 +임계값 하향 돌파 & Stochastic 80 하향 돌파가 syncBars 이내에 동시 충족. 완화 옵션(useRelaxStoch): 최근 relaxLookback 내 20/80 터치 이력 + 현재 방향성만으로도 모멘텀 전환을 인정(교차 미충족 보완). EN Long: Disparity crosses up −threshold & Stochastic crosses up 20 within syncBars. Short: Disparity crosses down +threshold & Stochastic crosses down 80 within syncBars. Relaxed option (useRelaxStoch): Accepts momentum shift if 20/80 was touched in the last relaxLookback bars and the current slope confirms, even without a strict cross. 3) 설정 메뉴 안내 / Settings Menu Guide A. 기본 / Core 기준가격 / Source (source) 설명: Disparity 계산에 쓰는 가격 소스. 입력: close, hl2, ohlc4 등. 기본값: close. 팁: 변동성 큰 종목은 hlc3/ohlc4가 노이즈를 줄이기도 함. 이격도 기준 MA 길이 / MA Length (for Disparity) (int ≥1) 설명: Disparity의 기준선이 되는 단순이동평균 길이. 기본값: 20. 영향: 길이↑ → 신호 빈도↓, 안정성↑. 이격도 임계값(±%) / Disparity Threshold (±%) (float ≥0.1, step 0.1) 설명: Disparity가 +임계값 아래로 하향 크로스(숏) 또는 −임계값 위로 상향 크로스(롱)할 때 신호. 기본값: 1.0%. 팁: 너무 크면 신호 드뭄, 너무 작으면 과다. B. 스토캐스틱 / Stochastic %K Length / K 길이 (int ≥1, 기본 14) %K Smoothing / K 스무딩 (int ≥1, 기본 1) %D Length / D 길이 (int ≥1, 기본 3) 설명: ta.stoch의 K를 스무딩한 kSlow와, 추가 스무딩한 dSlow(참조용)를 구성. Buy Level (↑20) / 매수 기준선 (0~100, 기본 20) Sell Level (↓80) / 매도 기준선 (0~100, 기본 80) C. 신호 로직 / Signal Logic Signal Sync Window (bars) / 신호 동기화 윈도우 (0~10, 기본 0) 설명: 0=두 신호가 같은 봉에서 모두 충족해야 함. N>0=최근 N봉 내에서 각각 한 번 발생하면 인정. 팁: 1~3은 현실적 체결/지연을 반영하며 과최적화 방지에 도움. Relaxed Stochastic? (교차 완화) (bool, 기본 false) 설명: 교차 대신 최근 20/80 터치 + 현재 기울기만으로도 모멘텀 전환을 인정. 신호 빈도↑. Relax lookback bars (int ≥1, 기본 5) 설명: 완화판정에 쓰는 최근 봉 수. D. 리스크 / Risk (ATR) ATR Length / ATR 길이 (int ≥1, 기본 14) ATR Mult for Stop / 손절 ATR 배수 (float ≥0.1, 기본 1.5) ATR Mult for Take-Profit / 익절 ATR 배수 (float ≥0.1, 기본 2.0) 설명: 진입가 ± ATR×배수로 SL/TP 설정. 팁: 변동성 큰 자산은 SL 배수↑, TP 배수도 함께 조정 권장. Use ATR Trailing Stop? / ATR 트레일링 사용 (bool, 기본 false) ATR Mult for Trailing / 트레일링 ATR 배수 (float ≥0.1, 기본 2.0) 설명: 고정 TP/SL 대신 추적 손절을 사용(수익 추적에 유리). E. 시각화 / Visualization Plot 20MA / 20MA 표시 (bool, 기본 true) Show Entry Markers / 진입 마커 표시 (bool, 기본 true) 4) 진입·청산 규칙 / Entry & Exit Rules KR 진입: 위 “신호 로직” 충족 시 strategy.entry("L"/"S"). 청산 (고정형): 롱: Stop = 진입 − ATR×SL, TP = 진입 + ATR×TP 숏: Stop = 진입 + ATR×SL, TP = 진입 − ATR×TP 청산 (트레일링형): ATR×trailMult로 산출한 trail_points/offset으로 추적 손절. EN Entry: Place strategy.entry("L"/"S") when sync conditions are met. Exit (Fixed): Long: Stop = Entry − ATR×SL, TP = Entry + ATR×TP Short: Stop = Entry + ATR×SL, TP = Entry − ATR×TP Exit (Trailing): Use ATR×trailMult as trailing distance & offset. 5) 알림 / Alerts 조건 Long Entry (Disp −Thr & Stoch Up, sync) → longSignal Short Entry (Disp +Thr & Stoch Down, sync) → shortSignal 메시지 포맷 / Message format {"signal":"long|short","symbol":"{{ticker}}","price":{{close}}} Webhook(예: 거래소·봇)에서 signal/symbol/price를 활용해 체결 로직과 연동하십시오. 6) 빠른 시작 & 권장 프리셋 / Quick Start & Suggested Presets KR — BTC/USDT (15분봉) 제안 maLen=20, thrPct=1.0~1.5, kLen=14, kS=1, dLen=3, stBuyLv=20, stSellLv=80 syncBars=1~3 (동시성 여유), useRelaxStoch=true, relaxLookback=5 고정형: atrLen=14, atrMultSL=1.5~2.0, atrMultTP=2.0~3.0 트레일링형: useTrail=true, trailMult=2.0~3.0 EN — BTC/USDT (15-min) suggestion Above defaults, with syncBars=1~3, useRelaxStoch=true to improve fill realism. Increase atrMultSL on high-volatility days to reduce whipsaws. 7) 운용 팁 & 점검 / Tips & Troubleshooting KR 신호가 안 나와요: thrPct가 지나치게 크거나 syncBars=0으로 너무 엄격할 수 있음. thrPct↓, syncBars↑ 조정. 휩쏘 과다: useRelaxStoch를 끄거나 thrPct↑, atrMultSL↑. TP 도달 전에 청산: 트레일링 사용 시 변동성 확대로 SL이 따라붙다 체결될 수 있음 → trailMult↑ 또는 고정형 전환. 과최적화 방지: 한 구간에 과특화된 튜닝(특히 syncBars, thrPct)은 다른 시장에서 성능 저하. Walk-forward 권장. EN No signals: Lower thrPct and/or increase syncBars. Too many whipsaws: Disable relaxed mode, raise thrPct and/or atrMultSL. Stopped before TP (trailing): Increase trailMult or switch to fixed exits. Robustness: Avoid over-tuning; validate via walk-forward testing.
กลยุทธ์ Pine Script®
โดย IrumB