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.
Takeprofit
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars).
It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario.
As a quant, I love using statistical data to help my decisions and get better EV from my trades.
🔬 How It's Calculated
Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model
Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling
Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk)
Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods
Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment
💡 Use Cases
Position Sizing - Determine optimal risk per trade based on Expected Value
Time Horizon Optimization - Find the best holding period for your strategy
Stop Loss Placement - Validate SL levels using probability analysis
Take Profit Optimization - Set TP levels with statistical backing
Strategy Backtesting - Compare different R:R setups before entering trades
Risk Management - Avoid trades with negative Expected Value
Swing vs Day Trading - Choose timeframes with highest success probability
🎯 How to Use
Setup Trade: Enter your entry price, stop loss, and take profit levels
You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours
Choose Direction: Select Long or Short position
Review Table
Analyze Expected Value: Focus on positive EV scenarios (green background)
Optimize Timing: Select time horizons with best risk/reward profile
Adjust Parameters: Modify volatility calculation method and simulation count if needed
Examples
Here's how you can read the tables.
Example 1:
In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on.
Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP.
Example 2:
In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher.
We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade.
Enjoy, and please let me know your feedback! 😊🥂
Custom TP/SL Levels (1%, 2%, 3%)Custom TP/SL Levels (1%, 2%, 3%) — TanTechTrades™
This indicator automatically plots percentage-based take-profit (TP) and stop-loss (SL) levels around the current price, making it easy to visualize risk/reward scenarios for both long and short trades.
🔹 Features
Three configurable TP/SL levels (default: 1%, 2%, 3%)
Separate plotting for long (green = TP, red = SL) and short (blue = TP, purple = SL) setups
Adjustable percentages for flexible strategy testing
Simple visual overlay to assist with trade planning and management
🔹 How It Works
Long setup: SL lines plotted below entry, TP lines above entry
Short setup: SL lines plotted above entry, TP lines below entry
All levels update dynamically as price moves
This tool is useful for traders who want a quick, no-fuss way to manage position exits and visualize multiple TP/SL levels directly on the chart.
⚠️ Disclaimer: For educational purposes only. Not financial advice.
ATR Bands with SL and TPATR Bands with SL and TP (TanTechTrades™)
This indicator uses the Average True Range (ATR) to dynamically calculate stop-loss and take-profit levels around the current price.
🔹 Features
Adjustable ATR period for volatility sensitivity
Separate multipliers for stop-loss and take-profit
Plots long/short SL and TP levels simultaneously
Color-coded bands for quick visual reference (orange = SL, blue = TP)
🔹 How to Use
For long positions: SL is plotted below price, TP above price.
For short positions: SL is plotted above price, TP below price.
The wider the ATR, the further the levels adjust, reflecting higher volatility.
This tool helps traders set volatility-based exits instead of fixed pip/point levels, making risk management more adaptive to market conditions.
⚠️ Disclaimer: For educational purposes only. Not financial advice.
TP/SL Dynamic (FIB,ATR,MULTIPLE,PERCENT)TP/SL Dynamic (FIB, ATR, MULTIPLE, PERCENT)
This indicator provides a flexible framework for managing Take Profit (TP) and Stop Loss (SL) levels using multiple calculation schemes. It is designed for traders who want dynamic or rule-based levels that adapt to volatility, market type, and custom input.
The script supports four TP/SL methodologies:
Pro Standards (Auto-Select): Adapts method based on asset type and volatility.
R Multiples: Risk-based reward multiples from ATR-derived stop distance.
Fibonacci R: Fibonacci extension levels projected from recent pivots.
Percent: Fixed percentage distance from entry, adjusted by volatility.
ATR Multiples: ATR-based calculations with configurable multipliers.
Features:
Up to 3 manual entries, each with configurable time, price, and position size.
Weighted entry price calculation across multiple positions.
Single or multiple TP targets (up to 4) with automatic scaling.
Dynamic ATR option: updates SL/TP levels with live volatility or fixes them at entry.
Pivot-based logic for Fibonacci extensions.
Symbol Locking to prevent mismatches between intended pair and chart symbol.
Table display with optional R-multiples, TP/SL values, and entry details.
Visual chart elements: lines, labels, price-scale markers for SL/TP, and zebra-style info tables.
Entry markers (E1, E2, E3) for clarity.
Alerts for TP and SL triggers (both long and short).
How to Use:
Define entry prices, times, and position sizes (up to 3 entries).
Select a TP method (Pro Standards, R Multiples, Fibonacci R, Percent, or ATR Multiples).
Choose single or multiple TP mode.
Optionally enable Dynamic ATR to update levels in real time.
Check the on-chart table for all calculated levels and alerts.
Author & Credit:
Developed from the ground up by me (no external code used outside The Pine public library).
OrderVibe indicator (Invite-Only)What it is
OrderVibe is a closed-source tool that visualizes market structure and volatility. It does not generate trade calls or manage orders. It draws zones/levels and optional alerts so traders can build their own process.
How it works - technical overview (conceptual)
* Trend regime filter (optional). Uses a sloped moving-average baseline to qualify trend and can require higher-timeframe (HTF) agreement.
* Momentum gate. A smoothed, rate-of-change–style momentum must align with the trend and exceed a configurable strength threshold.
* Volatility filter. ATR-based bounds suppress setups when volatility is unusually low or high for the instrument.
* Order-block zones (SMC element). Marks candidate OB zones derived from pre-break structure and uses them for confluence; zones invalidate on decisive closes.
* Support/Resistance. Clusters recent pivots into zones using ATR-relative distance, keeping the most relevant areas by recency/proximity.
* Informational entry label. Prints on controlled retests of active zones when trend/momentum/volatility conditions are met. Labels are informational only.
* Baseline stop suggestion. Suggests a protective distance based on ATR or recent swing, whichever is more conservative.
* ATR TP ladder (TP1-TP10). Optional multi-level targets built from ATR multiples; per-level toggles and alerts.
* Cooldown. After a label, a short cooldown prevents duplicates; invalid zones are removed automatically.
* Alerts (optional). New S/R zone, new OB zone, TP reached, and related events.
Why it’s not a simple mashup
* Dual qualification (trend + momentum) with optional HTF agreement.
* Volatility-aware suppression and ATR-normalized zone clustering.
* Integrated ATR TP ladder with per-level controls and cooldown in one workflow.
* Provides clear value beyond classic MA/ATR combinations by combining HTF-aware gating, ATR-relative zone clustering, and structured multi-target management.
How to use
* Works on any symbol; defaults are calibrated for intraday XAUUSD.
* Adjust ATR lengths/ranges and TP multipliers to your instrument.
* Hide unused TP levels; forward-test before using live.
* Educational analytics only; no signals or advice.
Disclaimer
Analytical tool only. This is not financial advice and outcomes are not guaranteed. Use independent judgment and risk management.
Access
Access is invite-only and granted manually on TradingView. For contact details, see my Signature.
Triple EMA Trend TP Strategy (Filtered Entries + Dynamic Exit)Overview
The Triple EMA Trend TP Strategy is a robust trend-following approach designed for clear, disciplined entries and exits. It leverages a triple EMA crossover for entry signals, combined with a long‑term SMA trend filter, a fixed take‑profit percentage, and a dynamic dual‑EMA exit mechanism to optimize performance and risk management.
Key Features
Triple EMA Crossover Entry
Detects momentum shifts by waiting for the fast EMA to cross above the slow EMA, signaling bullish momentum buildup.
Trend Filter (SMA)
Ensures trades are only taken when price is above the long-term trend (SMA), filtering out low-probability setups.
Take Profit (TP)
Applies a customizable fixed TP, e.g., defaulting to 9.8%, allowing disciplined profit-taking.
Dual EMA Exit
Uses two EMAs on a separate exit logic—if the short exit EMA undercuts the mid exit EMA, the strategy closes the position.
Adjustable Parameters
All key lengths—including fast, mid, slow entry EMAs, trend SMA, exit EMAs, and TP percentage—are user-configurable to suit different assets and timeframes.
Date Range Control
Users can define a backtest window with start and end dates, preventing misleading performance outside intended periods.
Flexible Position Management
Supports full‑equity position sizing, pyramiding up to 10 entries, and runs every tick for high precision.
Setup & Inputs
fastLen: Entry Fast EMA
midLen: Entry Mid EMA
slowLen: Entry Slow EMA
trendLen: Trend Filter SMA
tpPercent: Take Profit Percentage
exitFastLen: Exit Fast EMA
exitMidLen: Exit Mid EMA
startDate / endDate: Backtest time range
Why This Strategy Stands Out
This strategy marries classic trend-following principles with modern risk-control tactics, making it both intuitive and advanced. It balances aggressive entry signals with safety checks via trend validation and layered exit logic. The inclusion of a TP ensures profits are locked in, while the dual EMA exit adds adaptive flexibility to close positions when momentum fades.
How to Use & Customize
Configure Inputs
Adjust EMAs, trend length, and TP percentage to fit your asset and timeframe. For example, shorter EMAs suit intraday trading; longer ones work well for swing strategies.
Set Backtest Range
Use the start/end date fields to limit your testing to the most relevant data, reducing noise from irrelevant market periods.
Backtest & Optimize
Review the Strategy Tester’s performance metrics—Equity curve, drawdown, profit factor, trade list—to assess effectiveness.
Fine‑Tune
Tweak TP, EMAs, or trend length to optimize drawdowns, win rate, or return profile.
The Gain Anchor - Long/Short SignalsThe Gain Anchor – Long/Short Signals (WunderTrading Bot Ready)
Dual Anchored VWAP System Powered by Overbought & Oversold Signals
A high-precision AVWAP and Z-Score system designed to generate Long/Buy and Short/Sell signals.
This indicator is ideal for swing trades and can be used as a standard signal indicator or seamlessly integrated for automated trading with WunderTrading bots.
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Inputs
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• Master Symbol: Sets the symbol used to track market trend. When disabled, the chart’s symbol is used to track its own trend.
• Rolling AVWAP Length: Defines the AVWAP calculation lookback (the bar where calculation starts).
• Minimum Investment Amount ($): Minimum is $6. For WunderTrading, it should not be less than $12.
• Minimum Profit Target ($): Ensures returns are higher than the defined minimum profit.
• Z-Score Lookback: Sets the lookback length for the Z-Score calculation window.
• Z-Score Threshold: Defines the base threshold. (The code auto-adjusts thresholds as more data is processed.)
• Long/Short Strings Input: Enter the alert messages you want to receive. For WunderTrading bots, input your Long Entry, Long Exit, Short Entry, and Short Exit codes.
• Show Other Lines: Displays Rolling AVWAP plot, Take Profit, and Stop Loss lines.
• Table Position: Choose the dashboard placement on your chart.
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Core Logic
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• Z-Score: Detects price deviation from its mean. When the price overextends based on the lookback, AVWAPs are reset.
• Resetting AVWAP 1 / Fast AVWAP (White Line): Uses a weaker threshold.
• Resetting AVWAP 2 / Slow AVWAP (Blue Line): Uses stronger thresholds, confirming and filtering weaker crosses.
• When AVWAP 2 resets, it signals a possible trend change and may generate new signals.
• If AVWAP 2 detects excessively frequent trend changes (high volatility), new signals are automatically disabled.
• Stop Loss and Take Profit are derived from bar distance relative to the lowest AVWAP (longs) or highest AVWAP (shorts).
If this exceeds your minimum investment, the system auto-adjusts the size.
If stop loss is not positioned beyond the AVWAPs, no signal is generated.
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Trade Signals Logic
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The indicator’s signal mechanism is designed to prevent overtrading during
high volatility.
- Signals are disabled when a sudden surge in volatility is detected.
- Only one signal is generated per legitimate trend change.
- Example:
• When the trend switches to bullish, only one Long signal is given.
• Once that Long position is closed (profit or loss), no new signal will be issued until another valid trend change occurs.
• The same logic applies to bearish/Short positions.
This ensures that signals remain clean, infrequent, and aligned with real trend shifts rather than noise.
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Take Profit & Stop Loss
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• Take Profit has two levels:
1. First Level: Triggered when the trend changes and price is below the first TP level.
2. Second Level: Triggered if the price surges into the second TP level.
The position is closed on whichever condition is met first.
• On Scale:
- Take Profit (Gray Line): Rolling take profit value.
- Stop Loss (Maroon Line): Rolling stop loss value, auto-calculated as half the minimum profit.
- Gray Stop Loss and Take Profit: Rolling Stop Loss and Take Profit purpose is mainly for manual trading but when they are both gray it is not ideal to look for an entry.
• On Chart:
- Take Profit: Lime (Longs), Fuchsia (Shorts). Fixed from signal start until triggered.
- Stop Loss: Yellow (Longs), Maroon (Shorts). Fixed from signal start until triggered.
- You have to activate "Show Other Lines" in Input to see them
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Signal Markers
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• 👆 = Long Entry
• Green Dot = Long Exit (TP/SL)
• 👇 = Short Entry
• Fuchsia Dot = Short Exit (TP/SL)
• 💥 = Bullish Trend
• 🔥 = Bearish Trend
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Backtest System
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• Displays the number of days since the first trade/backtest.
• Shows trade count, win rate, net profit/loss.
• Useful for real-time analysis and alert validation.
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Dashboard Overview
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Row 1 (Per Symbol):
• Column 1: Win Rate + Total Trades / Wins / Losses
• Color Modes: Blue = Win rate rising and it's 50 or higher. Brown = Win rate falling and it's 50 or higher. Grey = Falling and less than 50
• Column 2: Backest - number of days since the first trade
• Column 3: Net Profit + Total Profit / Total Loss
• Color Modes: Red = Loss greater than Profit , Green = Net Profit exceeds minimum profit x Total Trade Won, Brown = Profit greater than Loss but high bad trades
• Column 4: Investment Amount + Minimum Profit | Gain % to Target
• Color Modes: Signal State: Lime = Long, Maroon = Short, Yellow = Both Active
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Usage Notes
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• Works for manual or automated execution.
• Fully compatible with WunderTrading’s JSON alert format (and any platform using the same format).
• Can also be used standalone with no dependencies.
• Dashboard and auto-calculated SL/TP make it flexible across all trading styles.
• Minimum Investment Amount affects SL/TP size and therefore win rate.
• Increasing Minimum Profit increases potential profit but also increases loss size.
• Loss-to-Win ratio is always 1:2+, meaning your wins are at least double your losses.
• Optimized for 1-minute timeframe. Other timeframes may also yield desirable results.
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⚠️ Disclaimer
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This indicator does not constitute financial advice or a trading recommendation.
All trading involves risk. Past performance does not guarantee future results.
HZ Key LevelsThe HZ Key Levels script is a powerful tool designed to help traders identify sharp and precise entry and take profit levels on their charts. Utilizing a unique proprietary formula, this indicator provides a clear visual guide for strategic trading decisions. The levels are plotted as solid lines with corresponding price values, ensuring they remain relevant across different timeframes. Ideal for traders seeking reliable reference points to enhance their market analysis and execution precision.
Double Fractal Entry📘 Double Fractal Entry – Original Structure-Based Entry System
Double Fractal Entry is a proprietary indicator that uses dynamic fractal structure to generate actionable buy/sell signals, with automatic Stop-Loss and Take-Profit placement. Unlike classic fractal tools or ZigZag-based visuals, this script constructs real-time structural channels from price extremes and offers precise entry points based on breakout or rejection behavior.
It is designed for traders who want a clear, structured approach to trading price action — without repainting, lagging indicators, or built-in oscillators.
🧠 Core Logic
This script combines three custom-built modules:
1. Fractal Detection and Channel Construction
- Fractals are detected using a configurable number of left/right bars (sensitivity).
- Confirmed upper/lower fractals are connected into two continuous channels.
- These channels represent real-time structure zones that evolve with price.
2. Entry Signal Logic
You can choose between two signal types:
- Breakout Mode – Triggers when price breaks above the upper fractal structure (for buys) or below the lower one (for sells).
- Rebound Mode – Triggers when price approaches a fractal channel and then rejects it (forms a reversal setup).
Each signal includes:
- Entry arrow on the chart
- Horizontal entry line
- Stop-Loss and Take-Profit lines
3. SL/TP Calculation
Unlike tools that use ATR or fixed values, SL and TP are dynamically set using the fractal range — the distance between the most recent upper and lower fractals. This makes the risk model adaptive to market volatility and structure.
📊 Visuals on the Chart
- 🔺 Green/Red triangle markers = confirmed fractals
- 📈 Lime/Red channel lines = evolving upper/lower structure
- 🔵 Blue arrow = signal direction (buy/sell)
- 📉 SL/TP lines = dynamically drawn based on fractal spacing
- 🔁 Signal history = optional, toggleable for backtesting
⚙️ Settings and Customization
- Fractal sensitivity (bars left/right)
- Entry mode: Breakout or Rebound
- SL and TP multiplier (based on fractal range)
- Visibility settings (signal history, lines, colors, etc.)
💡 What Makes It Unique
This is not just a variation of standard fractals or a ZigZag wrapper.
Double Fractal Entry was built entirely from scratch and includes:
- ✅ A dual-channel system that shows the live market structure
- ✅ Entry signals based on price behavior around key zones
- ✅ Volatility-adaptive SL/TP levels for realistic trade management
- ✅ Clean, non-repainting logic for both manual and automated use
The goal is to simplify structure trading and provide precise, repeatable entries in any market condition.
🧪 Use Cases
- Breakout mode – Ideal for trend continuation and momentum entries
- Rebound mode – Great for reversals, pullbacks, and range-bound markets
- Can be used standalone or combined with volume/trend filters
⚠️ Disclaimer
This tool is intended for technical analysis and educational use. It does not predict future market direction and should be used with proper risk management and strategy confirmation.
Bracket PreviewThe Bracket Preview indicator allows the user to set their intended bracket order distance (distance, in ticks, to take-profit and stop-loss) from the current live price so that a preview is generated and updated in real-time as price moves. This gives the trader a quick reference of where the bracket orders would be placed if a position were entered at that specific moment in time. This can be helpful by making it more obvious to the trader before a trade is placed exactly where these levels would be in relation to previous price action or if it would be better to wait for price to move to a more favorable level or accept a different Risk-Reward (RR) from this specific trade.
• “If I entered a long position now, would my target be in front of or beyond a recent consolidation area where it is likely to run into resistance and potentially reverse before hitting my take-profit?”
• “Would this bracket order place my stop-loss above or below a previous pivot or would I need to move it after entering the trade and potentially increase the risk on this trade to have it in a more logical level?”
• “If price is in a range and I enter now, would my stop be in the middle of the range while my target is outside the top of the range? Maybe I should wait for price to move to an area where my target would be inside but near the top of the range while my stop loss is below the range so that I’m not taking unnecessary risk or being forced to take an unfavorable RR.”
Double Fractal Entry📘 Double Fractal Entry – Original Structure-Based Entry System
Double Fractal Entry is a proprietary indicator that uses dynamic fractal structure to generate actionable buy/sell signals, with automatic Stop-Loss and Take-Profit placement. Unlike classic fractal tools or ZigZag-based visuals, this script constructs real-time structural channels from price extremes and offers precise entry points based on breakout or rejection behavior.
It is designed for traders who want a clear, structured approach to trading price action — without repainting, lagging indicators, or built-in oscillators.
🧠 Core Logic
This script combines three custom-built modules:
1. Fractal Detection and Channel Construction
- Fractals are detected using a configurable number of left/right bars (sensitivity).
- Confirmed upper/lower fractals are connected into two continuous channels.
- These channels represent real-time structure zones that evolve with price.
2. Entry Signal Logic
You can choose between two signal types:
- Breakout Mode – Triggers when price breaks above the upper fractal structure (for buys) or below the lower one (for sells).
- Rebound Mode – Triggers when price approaches a fractal channel and then rejects it (forms a reversal setup).
Each signal includes:
- Entry arrow on the chart
- Horizontal entry line
- Stop-Loss and Take-Profit lines
3. SL/TP Calculation
Unlike tools that use ATR or fixed values, SL and TP are dynamically set using the fractal range — the distance between the most recent upper and lower fractals. This makes the risk model adaptive to market volatility and structure.
📊 Visuals on the Chart
- 🔺 Green/Red triangle markers = confirmed fractals
- 📈 Lime/Red channel lines = evolving upper/lower structure
- 🔵 Blue arrow = signal direction (buy/sell)
- 📉 SL/TP lines = dynamically drawn based on fractal spacing
- 🔁 Signal history = optional, toggleable for backtesting
⚙️ Settings and Customization
- Fractal sensitivity (bars left/right)
- Entry mode: Breakout or Rebound
- SL and TP multiplier (based on fractal range)
- Visibility settings (signal history, lines, colors, etc.)
💡 What Makes It Unique
This is not just a variation of standard fractals or a ZigZag wrapper.
Double Fractal Entry was built entirely from scratch and includes:
- ✅ A dual-channel system that shows the live market structure
- ✅ Entry signals based on price behavior around key zones
- ✅ Volatility-adaptive SL/TP levels for realistic trade management
- ✅ Clean, non-repainting logic for both manual and automated use
The goal is to simplify structure trading and provide precise, repeatable entries in any market condition.
🧪 Use Cases
- Breakout mode – Ideal for trend continuation and momentum entries
- Rebound mode – Great for reversals, pullbacks, and range-bound markets
- Can be used standalone or combined with volume/trend filters
🔒 Invite-Only Notice
This is an invite-only script with a fully closed source.
All logic is original and developed by the author. It does not use or copy public open-source scripts, built-in indicators (RSI, MA, etc.), or repainting tricks. The entire entry and risk system is based on custom structural logic built from real-time price action.
⚠️ Disclaimer
This tool is intended for technical analysis and educational use. It does not predict future market direction and should be used with proper risk management and strategy confirmation.
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
Lot Size Calculator (SL Percentage) - Futures ⚠️ IMPORTANT DISCLAIMER
This indicator is provided for educational and informational purposes only. The author assumes no responsibility for any financial losses, code errors, calculation mistakes, or trading decisions based on this tool. Use at your own risk and responsibility. Always manually verify calculations before opening real positions.
Contract size calculations are based on standard full-size futures contracts, not micro contracts (even though micro contracts are supported for identification).
Description
Money management tool for automatic calculation of optimal contract size (lot size) in futures trading. Supports over 50 futures instruments with pre-configured tick sizes and pip values for CME and other exchanges.
Supported Instruments
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Others: VX
Main Parameters
Equity : Total available capital
Risk : Maximum risk percentage per trade
Stop Loss : Percentage distance of stop loss
Risk/Reward Ratio: Ratio to calculate take profit
Entry Price: Entry price (0 = current price)
Stop Loss Modes
Percentage Stop Loss (Use SL in % = ON):
Automatically calculates SL level as percentage from entry price
Example: Entry 100, SL 2% → Long SL at 98, Short SL at 102
Manual Stop Loss (Use SL in % = OFF):
Enter exact stop loss price directly
Greater precision for specific technical levels (support/resistance)
Interactive feature: You can drag the red stop loss line directly on the chart to modify the level in real-time
How to Use
Set equity and risk % according to your trading plan
Choose direction (Long/Short) and stop loss (percentage or price)
Enter entry price (optional)
Read the CONTRACT SIZE in the green table
Verify levels Entry/SL/TP on the graphic lines
Output
Information table with all parameters and highlighted CONTRACT SIZE
Graphic lines: Entry (blue), Stop Loss (red), Take Profit (green)
Configurable alerts with calculated values
Advantages
✅ Automatic calculation of optimal size
✅ Precise tick sizes for each instrument
✅ Systematic risk management
✅ Clear visual interface
✅ Multi-asset support on futures
Warnings
⚠️ Always verify that the instrument is recognized (no orange warning)
⚠️ Manually check calculations before trading
⚠️ Test in demo before using with real money
⚠️ Update regularly for any contract modifications
⚠️ DISCLAIMER IMPORTANTE
Questo indicatore è fornito esclusivamente a scopo educativo e informativo. L'autore non si assume alcuna responsabilità per eventuali perdite finanziarie, errori nel codice, calcoli errati o decisioni di trading basate su questo strumento. L'utilizzo è a proprio rischio e responsabilità. Si raccomanda di verificare sempre manualmente i calcoli prima di aprire posizioni reali.
I calcoli della dimensione del contratto sono basati su contratti futures standard full-size, non micro contratti (anche se i micro contratti sono supportati per l'identificazione).
Descrizione
Strumento di money management per il calcolo automatico della dimensione ottimale del contratto (lot size) nel trading di futures. Supporta oltre 50 strumenti futures con tick size e pip value pre-configurati per mercati CME e altri exchange.
Strumenti Supportati
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Altri: VX
Parametri Principali
Equity : Capitale totale disponibile
Risk : Percentuale massima di rischio per trade
Stop Loss : Distanza percentuale dello stop loss
Risk/Reward Ratio: Rapporto per calcolare il take profit
Entry Price: Prezzo di entrata (0 = prezzo corrente)
Modalità Stop Loss
Stop Loss Percentuale (Use SL in % = ON):
Calcola automaticamente il livello SL come percentuale dal prezzo di entrata
Esempio: Entry 100, SL 2% → SL Long a 98, SL Short a 102
Stop Loss Manuale (Use SL in % = OFF):
Inserisci direttamente il prezzo esatto dello stop loss
Maggiore precisione per livelli tecnici specifici (supporti/resistenze)
Funzione interattiva: Puoi trascinare direttamente la linea rossa dello stop loss sul grafico per modificare il livello in tempo reale
Come Usare
Imposta equity e risk % secondo il tuo piano di trading
Scegli direzione (Long/Short) e stop loss (percentuale o prezzo)
Inserisci entry price (opzionale)
Leggi il CONTRACT SIZE nella tabella verde
Verifica i livelli Entry/SL/TP sulle linee grafiche
Output
Tabella informativa con tutti i parametri e il CONTRACT SIZE evidenziato
Linee grafiche: Entry (blu), Stop Loss (rosso), Take Profit (verde)
Alert configurabile con i valori calcolati
Vantaggi
✅ Calcolo automatico della size ottimale
✅ Tick size precisi per ogni strumento
✅ Risk management sistematico
✅ Interfaccia visiva chiara
✅ Supporto multi-asset su futures
Avvertenze
⚠️ Verifica sempre che lo strumento sia riconosciuto (no warning arancione)
⚠️ Controlla manualmente i calcoli prima di tradare
⚠️ Testa in demo prima dell'uso con denaro reale
⚠️ Aggiorna regolarmente per eventuali modifiche ai contratti
Simple Risk-to-Reward (R) Indicator (TP1–TP2)What this indicator does:
This tool helps traders clearly visualize their risk and reward on any trade by plotting their entry, stop loss, and take-profit (TP) levels directly on the chart. It’s designed to make manual trade planning more visual and systematic.
How it works:
You set your planned entry price, whether you want to plot a Long or Short setup, and your stop-loss distance (in ticks).
The indicator calculates your stop-loss level and automatically plots it on the chart.
It then draws take-profit levels at 1R and 2R (where “R” is your risk, the distance between entry and stop).
You can toggle the TP1 and TP2 lines on or off to suit your preference.
How to use it:
Open the settings and enter your intended entry price.
Select “Long Setup” for a buy trade, or turn it off for a sell/short trade.
Enter your desired stop loss in ticks.
Choose which take-profit levels to display by toggling TP1 and TP2.
The indicator will show entry, stop, and take-profit levels right on your chart so you can easily see your planned risk/reward.
What makes it unique and useful:
This indicator is designed for manual trade planning, giving you full control over your inputs and letting you instantly see your risk/reward on any instrument or timeframe. Unlike some built-in tools, it supports both long and short trades, lets you set all levels manually, and keeps your charts clean and easy to interpret.
Fibonacci + TP/SL Strategy [Backtest]✅ Key Features Added and Adjusted:
Fibonacci Retracement Levels:
Automatically calculated based on the last 100 bars' high/low
Plotted levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%
Extension targets: 161.8%, 261.8%, 423.6%
Buy/Sell Signal Logic:
Buy: Price is between 78.6% and 38.2% levels
Sell: Price is between 61.8% and 23.6% levels
Both depend on a can_trade time filter to avoid overtrading
ATR-based Stop-Loss:
Stop-loss dynamically adapts to market volatility:
SL = Entry - ATR * 1.5 (long)
SL = Entry + ATR * 1.5 (short)
Fixed Take-Profit:
Configurable via input: default is 4%
Can be changed in TradingView UI
Golden/Death Cross Indicator (Visual Only):
EMA 50 crossing EMA 200 plotted on chart:
Golden Cross = Buy signal (green triangle)
Death Cross = Sell signal (red triangle)
Weekly Profit Cap:
Prevents new trades if weekly profit exceeds 15%
Resets at the start of every week
Visual Elements:
All Fibonacci levels are plotted
Buy/Sell signals are labeled on the chart (BUY, SELL)
Breakout Patterns Detector: Triangle & Wedge [Splirus]This indicator identifies Breakout Patterns such as Ascending Triangles , Descending Triangles , Symmetric Triangles , Ascending Wedges , and Descending Wedges , using candlestick charts and Trendlines. It provides visual cues, stop-loss (SL), and take-profit (TP) levels, alongside a detailed dashboard to evaluate performance. The indicator supports two alert modes: Manual Mode for trader notifications and Bot Mode for automated trading signals.
To achieve optimal results, users are encouraged to experiment with indicator parameters and analyze the dashboard summary to find the perfect configuration for each timeframe, pair, and market condition.
Pattern Identification
The indicator detects the following breakout patterns based on pivot highs and lows:
Ascending Triangle : Flat upper trendline, rising lower trendline.
Descending Triangle : Flat lower trendline, declining upper trendline.
Symmetric Triangle : Converging trendlines with similar slopes (within a user-defined threshold).
Ascending Wedge : Both trendlines slope upward, converging.
Descending Wedge : Both trendlines slope downward, converging.
Patterns are identified using configurable left and right bars for small and big patterns, with slope thresholds normalized by ATR. A trend confirmation filter ensures breakouts align with market direction, and users can adjust breakout confirmation bars to validate signals.
The goal is to fine-tune these settings to suit specific timeframes and pairs, as each combination may require a unique setup for optimal performance.
Stop-Loss Calculation
Stop-loss levels are calculated dynamically based on pattern type and breakout direction:
Symmetric Triangle : SL is set at the first pivot of the opposite trendline, adjusted by a buffer percentage.
Ascending/Descending Triangle : SL is placed at the breakout trendline’s price, plus the buffer.
Ascending/Descending Wedge : SL is set at the second pivot of the opposite trendline, adjusted by the buffer.
The indicator calculates leverage based on a user-defined risk tolerance percentage. Users should adjust the SL buffer and risk tolerance to balance risk and reward, monitoring the dashboard to assess how these settings impact performance across different timeframes and pairs.
Take-Profit Calculation
Three take-profit levels ( TP1 , TP2 , TP3 ) are calculated using pattern height and user-defined multipliers:
For Ascending/Descending Triangles, height is the difference between the max and min prices within the pattern.
For Symmetric Triangles and Wedges, height is the vertical distance between trendlines at the pattern’s start.
TP levels are set as:
TP1 = Breakout price ± (Height × TP1 Multiplier).
TP2 = Breakout price ± (Height × TP2 Multiplier).
TP3 = Breakout price ± (Height × TP3 Multiplier, with a 1.5x adjustment for Wedges).
Experiment with TP multipliers to optimize the risk-reward ratio, using the dashboard to evaluate TP hit rates and overall profitability for each configuration.
Symmetric Triangle:
Ascending/Descending Wedge:
Ascending/Descending Triangles:
Finding the Perfect Configuration
The indicator’s dashboard provides a comprehensive summary of performance metrics, including total trades, TP1/TP2/TP3 hits, SL hits, profit/loss percentages, and win rates for bullish, bearish, and combined trades. These metrics are crucial for identifying the ideal parameter settings:
Timeframe and Pair Variability : Each timeframe (e.g., 15m, 30min, 1H, 4H, Daily) and pair (e.g., BTC/USD, EUR/USD) behaves differently. Adjust parameters like left/right bars, minimum pattern length, and breakout confirmation bars to match the volatility and trend characteristics of the chosen pair and timeframe.
Parameter Tuning : Modify slope thresholds, trend confirmation filters, and bars inside the pattern to filter out false breakouts. For example, a higher breakout confirmation bar setting may reduce signals but increase reliability on longer timeframes.
Dashboard Analysis : Focus on the dashboard’s win rate, profit/loss ratio, and TP/SL hit frequencies. A “Perfect” win rate (>66%) or high TP hit rate indicates a strong configuration. If the SL hit rate is high, consider tightening the trend confirmation filter or increasing the SL buffer.
Iterative Testing : Test different combinations of settings (e.g., small vs. big patterns, aggressive vs. conservative breakout confirmation) and compare dashboard results over time. The goal is to find a balance where the indicator consistently delivers high win rates and profitability for your specific trading setup.
Alert Modes
The indicator supports two alert modes to suit different trading styles:
Manual Mode : Generates alerts for breakouts with entry price, SL, TP1/TP2/TP3, and leverage, tailored for Crypto or Forex markets. Use this mode to manually evaluate signals while refining configurations.
Bot Mode : Sends automated trading signals. To avoid conflicts, Bot Mode ensures no short position alert is triggered while a long position is active, and vice versa. This mode is ideal once you’ve identified an optimal configuration via the dashboard.
Additional Features
Historical Patterns : Displays past trendlines with customizable transparency and extension, helping users analyze how patterns performed under different settings.
Customizable Settings : Adjust pattern size, breakout confirmation, trend filters, and visual preferences (colors, dashboard location) to match your trading style.
Market Compatibility : Supports Crypto and Forex markets across all timeframes, but requires careful tuning for each market type.
Usage Notes
Start with default settings and monitor the dashboard to establish a baseline performance for your chosen timeframe and pair.
Gradually adjust one parameter at a time (e.g., left/right bars, TP multipliers) and compare dashboard results to identify improvements.
Use historical pattern analysis to understand how past breakouts performed under different configurations, guiding your optimization process.
Once a high win rate and profitability are achieved, consider automating trades with Bot Mode for consistent execution.
Disclaimer
This indicator is intended for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are strongly advised to thoroughly test and validate the indicator’s signals in a demo environment before using it in live trading. The author is not responsible for any financial losses incurred while using this indicator. Always conduct your own research and consult with a qualified financial advisor before making trading decisions.
PROFIT ZONE PRO Profit Zone Pro:
ProfitZone Pro is a risk-reward indicator that helps traders identify trade setups, manage risk, and set profit targets. Designed for simplicity, this free tool generates entry, stop-loss, and take-profit levels based on support and resistance, Trailing Stoploss and built in automated alerts, with additional features to enhance trade planning, Along with a learning mode based on successful trades made
Features
Trade Setup Identification: Detects potential buy (long) or sell (short) entries using support and resistance levels, with an optional trend filter based on a 50-period SMA.
Risk-Reward Zones: Displays entry (yellow), stop-loss (red), and take-profit (green) levels, with shaded risk (red) and reward (green) zones.
Position Sizing: Calculates position size based on user-defined risk percentage and account balance.
Breakeven and Trailing Stop: Includes a breakeven feature to move the stop-loss to the entry price at a user-defined percentage of the take-profit distance, and an optional trailing stop to lock in profits.
Confidence Score: Provides a volatility-based confidence score (0-100%) to assess setup reliability.
Learning Adjustment: Adjusts stop-loss distances based on the number of successful trades entered by the user.
Info Label: Shows position size, risk, reward, direction, confidence score, ATR, trend direction (if enabled), and trailing stop status.
Alerts: Sends notifications for entry, stop-loss, take-profit, breakeven, trailing stop, and theme changes.
Customizable Display: Offers options for zone opacity, line styles (solid, circles, dotted), zone labels, and color themes (Light, Dark, Custom).
Long Mode Feature:
Short Mode Feature:
Trend Filter Feature:
Auto Trading Mode:
Usage Instructions
Add the indicator to your chart.
Adjust settings in the indicator’s properties:
Set Risk % of Account and Account Balance to define your risk and position size.
Choose Trade Direction (Auto, Long, or Short) to filter setups.
Enable Trend Filter to align trades with the market trend.
Turn on Trailing Stop and set Trailing Stop % of Reward to lock in profits.
Customize visuals (zone opacity, line style, colors) as needed.
Monitor the chart for entry (yellow), stop-loss (red), and take-profit (green) levels.
Use the info label to view position size, risk, reward, confidence score, and other details.
Set alerts for entry, stop-loss, take-profit, breakeven, and trailing stop events.
After a successful trade, increment Number of Successful Trades to adjust future stop-loss distances.
This Script is to help you have a better idea on those famous questions we ask ourselves:
Entry
Take Profit
Stoploss
The confidence score, R:R calculator, Trend Filter, Learning Mode further helps to zone in on accuracy
Happy Trading
- EZ ALGO
Crypto Strategy SUSDT 10 minThis strategy is designed to trade the **SUSDT** pair on a **10-minute time frame**, using a combination of an Exponential Moving Average (EMA) and percentage-based Stop Loss (SL) and Take Profit (TP) levels.
### How the strategy works:
1. **EMA Calculation**:
- The strategy calculates a 24-period Exponential Moving Average (EMA) based on the closing price.
- This EMA serves as the primary trend indicator.
2. **Entry Conditions**:
- **Long Position**: A long position is entered when the closing price is above the EMA and the opening price is below the EMA. This indicates a potential upward trend.
- **Short Position**: A short position is entered when the closing price is below the EMA and the opening price is above the EMA. This indicates a potential downward trend.
3. **Stop Loss and Take Profit**:
- Both Stop Loss (SL) and Take Profit (TP) are calculated based on the entry price of the position.
- **For Long Positions**:
- Stop Loss is set as a percentage below the entry price.
- Take Profit is set as a percentage above the entry price.
- **For Short Positions**:
- Stop Loss is set as a percentage above the entry price.
- Take Profit is set as a percentage below the entry price.
- The percentage values for SL and TP can be adjusted in the strategy's settings (default: SL = 2%, TP = 4%).
4. **Exit Conditions**:
- The position is closed automatically when either the Stop Loss or Take Profit level is reached.
5. **Visualization**:
- The 24-period EMA is plotted on the chart as a blue line, helping visualize the trend direction.
### Key Features:
- **Pair and Time Frame**: The strategy is optimized for the SUSDT pair on a 10-minute time frame.
- **Customizable Parameters**: Users can adjust the Stop Loss and Take Profit percentages to suit their risk tolerance and trading style.
- **Trend-Following Approach**: The strategy uses the EMA to identify and follow the current market trend.
This strategy is simple yet effective for capturing trends while managing risk through predefined Stop Loss and Take Profit levels.
Stop/Take BoundsThe Stop/Take Bounds indicator is tool for setting dynamic stop-loss and take-profit levels based on percentage distance from the price. Unlike traditional ATR-based methods, this indicator allows traders to set stop levels as a fixed percentage of the price and define the take-profit multiple.
- Stop-loss distanceis determined as a percentage of the current price (e.g., 1% means the stop-loss is always 1% away from the price).
- Take-profit distance is calculated by multiplying the stop-loss distance by a user-defined multiplier (e.g., a multiplier of 2 places the take-profit level twice as far as the stop-loss).
- The indicator plots red lines for stop-loss levels and green lines for take-profit levels, making it easy to visualize risk-to-reward scenarios.
How to Use
1. Set Stop-Loss Distance (%) – Define how far the stop-loss should be from the price.
2. Set Take-Profit Multiplier – Choose how many times larger the take-profit should be compared to the stop-loss.
3. Apply to Long and Short Trades – The indicator automatically plots levels for both long and short positions.
4. Use in Manual or Algorithmic Trading – Ideal for discretionary traders as well as for integration into algorithmic strategies.
Use Cases
- Risk Management – Helps maintain disciplined risk-to-reward ratios.
- Strategy Development – Can be used in the creation of algorithmic trading systems.
- Trailing Stop Simulation – Can act as a trailing stop mechanism when used dynamically.
This indicator is a great addition to any trading strategy!
Dual SuperTrend w VIX Filter - Strategy [presentTrading]Hey everyone! Haven't been here for a long time. Been so busy again in the past 2 months. I recently started working on analyzing the combination of trend strategy and VIX, but didn't get outstanding results after a few tries. Sharing this tool with all of you in case you have better insights.
█ Introduction and How it is Different
The Dual SuperTrend with VIX Filter Strategy combines traditional trend following with market volatility analysis. Unlike conventional SuperTrend strategies that focus solely on price action, this experimental system incorporates VIX (Volatility Index) as an adaptive filter to create a more context-aware trading approach. By analyzing where current volatility stands relative to historical norms, the strategy adjusts to different market environments rather than applying uniform logic across all conditions.
BTCUSD 6hr Long Short Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Dual SuperTrend Core
The strategy uses two SuperTrend indicators with different sensitivity settings:
- SuperTrend 1: Length = 13, Multiplier = 3.5
- SuperTrend 2: Length = 8, Multiplier = 5.0
The SuperTrend calculation follows this process:
1. ATR = Average of max(High-Low, |High-PreviousClose|, |Low-PreviousClose|) over 'length' periods
2. UpperBand = (High+Low)/2 - (Multiplier * ATR)
3. LowerBand = (High+Low)/2 + (Multiplier * ATR)
Trend direction is determined by:
- If Close > previous LowerBand, Trend = Bullish (1)
- If Close < previous UpperBand, Trend = Bearish (-1)
- Otherwise, Trend = previous Trend
🔶 VIX Analysis Framework
The core innovation lies in the VIX analysis system:
1. Statistical Analysis:
- VIX Mean = SMA(VIX, 252)
- VIX Standard Deviation = StdDev(VIX, 252)
- VIX Z-Score = (Current VIX - VIX Mean) / VIX StdDev
2. **Volatility Bands:
- Upper Band 1 = VIX Mean + (2 * VIX StdDev)
- Upper Band 2 = VIX Mean + (3 * VIX StdDev)
- Lower Band 1 = VIX Mean - (2 * VIX StdDev)
- Lower Band 2 = VIX Mean - (3 * VIX StdDev)
3. Volatility Regimes:
- "Very Low Volatility": VIX < Lower Band 1
- "Low Volatility": Lower Band 1 ≤ VIX < Mean
- "Normal Volatility": Mean ≤ VIX < Upper Band 1
- "High Volatility": Upper Band 1 ≤ VIX < Upper Band 2
- "Extreme Volatility": VIX ≥ Upper Band 2
4. VIX Trend Detection:
- VIX EMA = EMA(VIX, 10)
- VIX Rising = VIX > VIX EMA
- VIX Falling = VIX < VIX EMA
Local performance:
🔶 Entry Logic Integration
The strategy combines trend signals with volatility filtering:
Long Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bullish (trend = 1)
- AND selected VIX filter condition must be satisfied
Short Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bearish (trend = -1)
- AND selected VIX filter condition must be satisfied
Available VIX filter rules include:
- "Below Mean + SD": VIX < Lower Band 1
- "Below Mean": VIX < VIX Mean
- "Above Mean": VIX > VIX Mean
- "Above Mean + SD": VIX > Upper Band 1
- "Falling VIX": VIX < VIX EMA
- "Rising VIX": VIX > VIX EMA
- "Any": No VIX filtering
█ Trade Direction
The strategy allows testing in three modes:
1. **Long Only:** Test volatility effects on uptrends only
2. **Short Only:** Examine volatility's impact on downtrends only
3. **Both (Default):** Compare how volatility affects both trend directions
This enables comparative analysis of how volatility regimes impact bullish versus bearish markets differently.
█ Usage
Use this strategy as an experimental framework:
1. Form a hypothesis about how volatility affects trend reliability
2. Configure VIX filters to test your specific hypothesis
3. Analyze performance across different volatility regimes
4. Compare results between uptrends and downtrends
5. Refine your volatility filtering approach based on results
6. Share your findings with the trading community
This framework allows you to investigate questions like:
- Are uptrends more reliable during rising or falling volatility?
- Do downtrends perform better when volatility is above or below its historical average?
- Should different volatility filters be applied to long vs. short positions?
█ Default Settings
The default settings serve as a starting point for exploration:
SuperTrend Parameters:
- SuperTrend 1 (Length=13, Multiplier=3.5): More responsive to trend changes
- SuperTrend 2 (Length=8, Multiplier=5.0): More selective filter requiring stronger trends
VIX Analysis Settings:
- Lookback Period = 252: Establishes a full market cycle for volatility context
- Standard Deviation Bands = 2 and 3 SD: Creates statistically significant regime boundaries
- VIX Trend Period = 10: Balances responsiveness with noise reduction
Default VIX Filter Selection:
- Long Entry: "Above Mean" - Tests if uptrends perform better during above-average volatility
- Short Entry: "Rising VIX" - Tests if downtrends accelerate when volatility is increasing
Feel Free to share your insight below!!!
WaveTrend Divergences, Candle Colouring and TP Signal [LuciTech]WaveTrend is a momentum-based oscillator designed to track trend strength, detect divergences, and highlight potential take-profit zones using Bollinger Bands. It provides a clear visualization of market conditions to help traders identify trend shifts and exhaustion points.
The WaveTrend Oscillator consists of a smoothed momentum line (WT Line) and a signal line, which work together to indicate trend direction and possible reversals. When the WT Line crosses above the signal line, it suggests bullish momentum, while crossing below signals bearish momentum.
Candle colouring changes dynamically based on WaveTrend crossovers. If the WT Line crosses above the signal line, candles turn bullish. If the WT Line crosses below the signal line, candles turn bearish. This provides an immediate visual cue for trend direction.
Divergence Detection identifies when price action contradicts the WaveTrend movement.
Bullish Divergence appears when price makes a lower low, but the WT Line forms a higher low, suggesting weakening bearish pressure.
Bearish Divergence appears when price makes a higher high, but the WT Line forms a lower high, indicating weakening bullish pressure.
Plus (+) Divergences are stronger signals that occur when the first pivot of the divergence happens at an extreme level—above +60 for bearish divergence or below -60 for bullish divergence. These levels suggest the market is overbought or oversold, making the divergence more significant.
Bollinger Band Signals highlight potential take-profit zones by detecting when the WT Line moves beyond its upper or lower Bollinger Band.
If the WT Line crosses above the upper band, it signals stretched bullish momentum, suggesting a possible pullback or reversal.
If the WT Line crosses below the lower band, it indicates stretched bearish momentum, warning of a potential bounce.
How It Works
The WaveTrend momentum calculation is based on an EMA-smoothed moving average to filter out noise and provide a more reliable trend indication.
The WT Line (momentum line) fluctuates based on market momentum.
The signal line smooths out the WT Line to help identify trend shifts.
When the WT Line crosses above the signal line, it suggests buying pressure, and when it crosses below, it indicates selling pressure.
Divergences are detected by comparing pivot highs and lows in price with pivot highs and lows in the WT Line.
A pivot forms when a local high or low is confirmed after a certain number of bars.
The indicator tracks whether price action and the WT Line are making opposite movements.
If a divergence occurs and the first pivot was beyond ±60, it is marked as a Plus Divergence, making it a stronger reversal signal.
Bollinger Bands are applied directly to the WT Line instead of price, identifying when the WT Line moves outside its volatility range. This helps traders recognize when momentum is overstretched and a potential reversal or retracement is likely.
Settings
Channel Length (default: 8) controls the period used to calculate the WT Line.
Average Length (default: 16) smooths the WT Line for better trend detection.
Divergences (on/off) enables or disables divergence plotting.
Candle colouring (on/off) applies or removes trend-based candle colour changes.
Bollinger Band Signals (on/off) toggles take-profit signals when the WT Line crosses the bands.
Bullish/Bearish colours allow customization of divergence and signal colours.
Interpretation
The WaveTrend Oscillator helps traders assess market momentum and trend strength.
Crossovers between the WT Line and signal line indicate potential trend reversals.
Divergences warn of weakening momentum and possible reversals, with Plus Divergences acting as stronger signals.
Bollinger Band Crosses highlight areas where momentum is overstretched, signaling potential profit-taking opportunities.
Price Action Trend and Margin EquityThe Price Action Trend and Margin Equity indicator is a multifunctional market analysis tool that combines elements of money management and price pattern analysis. The indicator helps traders identify key price action patterns and determine optimal entry, exit and stop loss levels based on the current trend.
The main components of the indicator:
Money Management:
Allows the trader to set risk management parameters such as the percentage of possible loss on the position, the use of fixed leverage and the total capital.
Calculates the required leverage level to achieve a specified percentage of loss.
Price Action:
Correctly identifies various price patterns such as Pin Bar, Engulfing Bar, PPR Bar and Inside Bar.
Displays these patterns on the chart with the ability to customize candle colors and display styles.
Allows the trader to customize take profit and stop loss points to display them on the chart.
The ability to display patterns only in the direction of the trend.
Trend: (some code taken from ChartPrime)
Uses a trend cloud to visualize the current market direction.
The trend cloud is displayed on the chart and helps traders determine whether the market is in an uptrend or a downtrend.
Alert:
Allows you to set an alert that will be triggered when the pattern is formed.
Example of use:
Let's say a trader uses the indicator to trade the crypto market. He sets the money management parameters, setting the maximum loss per position to 5% and using a fixed leverage of 1:100. The indicator automatically calculates the required position size to meet these parameters ($: on the label). Or displays the leverage (X: on the label) to achieve the required risk.
The trader receives an alert when a Pin Bar is formed. The indicator displays the entry, exit, and stop loss levels based on this pattern. The trader opens a position for the recommended amount in the direction indicated by the indicator and sets the stop loss and take profit at the recommended levels.
General Settings:
Position Loss Percentage: Sets the maximum loss percentage you are willing to take on a single position.
Use Fixed Leverage: Enables or disables the use of fixed leverage.
Fixed Leverage: Sets the fixed leverage level.
Total Equity: Specifies the total equity you are using for trading. (Required for calculation when using fixed leverage)
Turn Patterns On/Off: You can turn on or off the display of various price patterns such as Pin Bar, Outside Bar (Engulfing), Inside Bar, and PPR Bar.
Pattern Colors: Sets the colors for displaying each pattern on the chart.
Candle Color: Allows you to set a neutral color for candles that do not match the price action.
Show Lines: Allows you to turn on or off the display of labels and lines.
Line Length: Sets the length of the stop, entry, and take profit lines.
Label color: One color for all labels (configured below) or the color of the labels in the color of the candle pattern.
Pin entry: Select the entry point for the pin bar: candle head, bar close, or 50% of the candle.
Coefficients for stop and take lines.
Use trend for price action: When enabled, will show price action signals only in the direction of the trend.
Display trend cloud: Enables or disables the display of the trend cloud.
Cloud calculation period: Sets the period for which the maximum and minimum values for the cloud are calculated. The longer the period, the smoother the cloud will be.
Cloud colors: Sets the colors for uptrends and downtrends, as well as the transparency of the cloud.
The logic of the indicator:
Pin Bar is a candle with a long upper or lower shadow and a short body.
Logic: If the length of one shadow is twice the body and the opposite shadow of the candle, it is considered a Pin Bar.
An Inside Bar is a candle that is completely engulfed by the previous candle.
Logic: If the high and low of the current candle are inside the previous candle, it is an Inside Bar.
An Outside Bar or Engulfing is a candle that completely engulfs the previous candle.
Logic: If the high and low of the current candle are outside the previous candle and close outside the previous candle, it is an Outside Bar.
A PPR Bar is a candle that closes above or below the previous candle.
Logic: If the current candle closes above the high of the previous candle or below its low, it is a PPR Bar.
Stop Loss Levels: Calculated based on the specified ratios. If set to 1.0, it shows the correct stop for the pattern by pushing away from the entry point.
Take Profit Levels: Calculated based on the specified ratios.
Create a Label: The label is created at the stop loss level and contains information about the potential leverage and loss.
The formula for calculating the $ value is:
=(Total Capital x (Maximum Loss Percentage on Position/100)) / (Difference between Entry Level and Stop Loss Level × Ratio that sets the stop loss level relative to the length of the candlestick shadow × Fixed Leverage Value) .
Labels contain the following information:
The percentage of price change from the recommended entry point to the stop loss level.
Required Leverage (X: ): The amount of leverage required to achieve the specified loss percentage. (Or a fixed value if selected).
Required Capital ($: ): The amount of capital required to open a position with the specified leverage and loss percentage (only displayed when using fixed leverage).
The trend cloud identifies the maximum and minimum price values for the specified period.
The cloud value is set depending on whether the current price is equal to the high or low values.
If the current closing price is equal to the high value, the cloud is set at the low value, and vice versa.
RU
Индикатор "Price Action Trend and Margin Equity" представляет собой многофункциональный инструмент для анализа рынка, объединяющий в себе элементы управления капиталом и анализа ценовых паттернов. Индикатор помогает трейдерам идентифицировать ключевые прайс экшн паттерны и определять оптимальные уровни входа, выхода и стоп-лосс на основе текущего тренда.
Основные компоненты индикатора:
Управление капиталом:
Позволяет трейдеру задавать параметры управления рисками, такие как процент возможного убытка по позиции, использование фиксированного плеча и общий капитал.
Рассчитывает необходимый уровень плеча для достижения заданного процента убытка.
Price Action:
Правильно идентифицирует различные ценовые паттерны, такие как Pin Bar, Поглащение Бар, PPR Bar и Внутренний Бар.
Отображает эти паттерны на графике с возможностью настройки цветов свечей и стилей отображения.
Позволяет трейдеру настраивать точки тейк профита и стоп лосса для отображения их на графике.
Возможность отображения паттернов только в натправлении тренда.
Trend: (часть кода взята у ChartPrime)
Использует облако тренда для визуализации текущего направления рынка.
Облако тренда отображается на графике и помогает трейдерам определить, находится ли рынок в восходящем или нисходящем тренде.
Оповещение:
Дает возможность установить оповещение которое будет срабатывать при формировании паттерна.
Пример применения:
Предположим, трейдер использует индикатор для торговли на крипто рынке. Он настраивает параметры управления капиталом, устанавливая максимальный убыток по позиции в 5% и используя фиксированное плечо 1:100. Индикатор автоматически рассчитывает необходимый объем позиции для соблюдения этих параметров ($: на лейбле). Или отображает плечо (Х: на лейбле) для достижения необходимого риска.
Трейдер получает оповещение о формировании Pin Bar. Индикатор отображает уровни входа, выхода и стоп-лосс, основанные на этом паттерне. Трейдер открывает позицию на рекомендуемую сумму в направлении, указанном индикатором, и устанавливает стоп-лосс и тейк-профит на рекомендованных уровнях.
Общие настройки:
Процент убытка по позиции: Устанавливает максимальный процент убытка, который вы готовы понести по одной позиции.
Использовать фиксированное плечо: Включает или отключает использование фиксированного плеча.
Уровень фиксированного плеча: Задает уровень фиксированного плеча.
Общий капитал: Указывает общий капитал, который вы используете для торговли. (Необходим для расчета при использовании фиксированного плеча)
Включение/отключение паттернов: Вы можете включить или отключить отображение различных ценовых паттернов, таких как Pin Bar, Outside Bar (Поглощение), Inside Bar и PPR Bar.
Цвета паттернов: Задает цвета для отображения каждого паттерна на графике.
Цвет свечей: Позволяет задать нейтральный цвет для свечей неподходящих под прйс экшн.
Показывать линии: Позволяет включить или отключить отображение лейблов и линий.
Длинна линий: Настройка длинны линий стопа, линии входа и тейк профита.
Цвет лейбла: Один цвет для всех лейблов (настраивается ниже) или цвет лейблов в цвет паттерна свечи.
Вход в пин: Выбор точки входа для пин бара: голова свечи, точка закрытия бара или 50% свечи.
Коэффиценты для стоп и тейк линий.
Использовать тренд для прайс экшна: При включении будет показывать прайс экшн сигналы только в направлении тренда.
Отображение облака тренда: Включает или отключает отображение облака тренда.
Период расчета облака: Устанавливает период, за который рассчитываются максимальные и минимальные значения для облака. Чем больше период, тем более сглаженным будет облако.
Цвета облака: Задает цвета для восходящего и нисходящего трендов, а также прозрачность облака.
Логика работы индикатора:
Pin Bar — это свеча с длинной верхней или нижней тенью и коротким телом.
Логика: Если длина одной тени вдвое больше тела и противоположной тени свечи, считается, что это Pin Bar.
Inside Bar — это свеча, полностью поглощенная предыдущей свечой.
Логика: Если максимум и минимум текущей свечи находятся внутри предыдущей свечи, это Inside Bar.
Outside Bar или Поглощение — это свеча, которая полностью поглощает предыдущую свечу.
Логика: Если максимум и минимум текущей свечи выходят за пределы предыдущей свечи и закрывается за пределами предыдущей свечи, это Outside Bar.
PPR Bar — это свеча, которая закрывается выше или ниже предыдущей свечи.
Логика: Если текущая свеча закрывается выше максимума предыдущей свечи или ниже ее минимума, это PPR Bar.
Уровни стоп-лосс: Рассчитываются на основе заданных коэффициентов. При значении 1.0 показывает правильный стоп для паттерна отталкиваясь от точки входа.
Уровки тейк-профита: Рассчитываются на основе заданных коэффициентов.
Создание метки: Метка создается на уровне стоп-лосс и содержит информацию о потенциальном плече и убытке.
Формула для вычисления значения $:
=(Общий капитал x (Максимальный процент убытка по позиции/100)) / (Разница между уровнем входа и уровнем стоп-лосс × Коэффициент, задающий уровень стоп-лосс относительно длины тени свечи × Значение фиксированного плеча).
Метки содержат следующую информацию:
Процент изменения цены от рекомендованной точки входа до уровня стоп-лосс.
Необходимое плечо (Х: ): Уровень плеча, необходимый для достижения заданного процента убытка. (Или фиксированное значение если оно выбрано).
Необходимый капитал ($: ): Сумма капитала, необходимая для открытия позиции с заданным плечом и процентом убытка (отображается только при использовании фиксированного плеча).
Облако тренда определяет максимальные и минимальные значения цены за указанный период.
Значение облака устанавливается в зависимости от того, совпадает ли текущая цена с максимальными или минимальными значениями.
Если текущая цена закрытия равна максимальному значению, облако устанавливается на уровне минимального значения, и наоборот.
