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Session Sniper Bands — Pro Overlay (Bollinger, Sessions, Engulf)The Session Sniper Bands — Pro Overlay combines three powerful tools into one clean, professional script designed to help traders spot high-probability setups across any market. 📌 What’s included: Dual Bollinger Bands → track volatility squeezes, expansions, and mean reversion zones. Customizable Trading Sessions (Tokyo / London / New York) → shaded regions with editable names, open/close lines, range, and average price markers. Engulfing Candlestick Signals → automatic bullish and bearish engulfing arrows for precision entry timing. ✨ Features: Session names and times are fully customizable (rename “Tokyo” to “Asia Open,” etc.). Clear OB/OS volatility cues via Bollinger stack. Lightweight visuals that won’t clutter your chart. Works across Forex, Crypto, Indices, and Binary Options. ⚡ Why use it? This overlay is built for traders who want to snipe entries with session context. Spot when volatility contracts, align with session flows, and confirm with engulfing momentum candles — all in one view. ⚠️ Disclaimer: This script is for educational purposes only and is not financial advice. Always test on demo before trading live.
Pine Script® göstergesi
RockStarrFX tarafından
Full Candle Higher/Lower (No Repeats)🔎 What the Script Does (Pine Script v6) Keeps track of the last signal Uses a persistent variable lastSignal (initialized once as "none"). Ensures that if a signal repeats consecutively, it won’t be triggered again. Defines the conditions for a “Higher” or “Lower” candle sequence Higher condition: Current close > previous high, AND previous low ≤ the high of two bars ago. → This means the candle has fully broken higher. Lower condition: Current close < previous low, AND previous high ≥ the low of two bars ago. → This means the candle has fully broken lower. Checks for new signals only If a candle meets the condition and the last signal wasn’t the same, a new signal is triggered. Updates lastSignal to prevent repeats. Plots labels/arrows A “Higher” signal shows a green label below the bar. A “Lower” signal shows a red label above the bar. Sets alerts So you can be notified in TradingView whenever a “Higher” or “Lower” flag is detected. 📊 Trading Logic in Words The indicator is looking for full candle breakouts. If a candle closes above the previous high (with some confirmation from older bars), it flags it as a “Higher” signal. If a candle closes below the previous low (with similar confirmation), it flags it as a “Lower” signal. It avoids duplicate consecutive signals by remembering what the last one was. ✅ Why It’s Useful Helps traders spot momentum continuation candles (strong push candles). Reduces noise by not repeating the same signal multiple times in a row. Works like a breakout detector that tells you when the market is making a new leg up or new leg down.
Pine Script® göstergesi
devtiqo tarafından
GOLD SCALPERGOLD SCALPER is an advanced trading indicator specifically designed for scalping on GOLD markets. It combines an ultra-fast prediction line with optimized Support & Resistance levels, providing a unique approach to GOLD trading. Key Features Ultra-Fast Prediction Line The indicator contains the only directional indicator in the chart - an ultra-fast prediction line that reacts instantly to price changes. The line is drawn on every bar for maximum speed and provides clear BUY, SELL, and WAIT signals. GOLD-Optimized Support & Resistance The S/R system is specifically optimized for GOLD characteristics. It uses pivot period 10 for faster detection, sensitivity 1 for maximum sensitivity, and strength filter to display only strong levels with 3+ touches. Anomaly Warning System A unique early warning system for anomalies. When unusual market behavior is detected, S/R levels turn orange, alerting to potential risky situations. Session Filter An intelligent session filter optimized for GOLD trading. Automatically detects London and New York sessions (8-21 UTC) and adjusts signals based on market activity. Technical Specifications Prediction Line - BUY signal: Vertical green line up - SELL signal: Vertical red line down - WAIT signal: Horizontal orange line - Dotted style for scalping - Instant reaction to price changes Support & Resistance - Pivot Period: optimized for 5M timeframe - Sensitivity: maximum sensitivity - Max Lines: 5 (better coverage) - Strength Threshold: only strong levels - Retest Tolerance: 0.1% (precision for GOLD) Anomaly Detection - Lookback: 20 bars - Threshold: 2.0 ATR - Detects: Range expansion, volume spikes, rapid price changes, RSI extremes - Visual warning: Orange S/R lines GOLD Optimizations GOLD-Specific Settings The indicator is optimized for GOLD trading with the following specific settings: - Shorter pivot periods for faster reaction - Maximum sensitivity for GOLD characteristics - Volume confirmation for more reliable signals - Session awareness for best trading times Performance Optimizations - Cache optimization for all calculations - Memory management for proper line deletion - Pine Script v6 for modern functionality - No linter errors for stable performance Usage Recommended Settings - Timeframe: 5-15M GOLD - Sessions: London/NY (8-21 UTC) - Prediction Style: Dotted - S/R Style: Dotted - Anomaly Warning: Enabled Trading Approach The indicator is designed for a scalping approach with emphasis on speed and accuracy. It combines a fast prediction line for directional signals with slower S/R levels for context and confirmation. GOLD SCALPER represents a professional tool for GOLD scalping with a unique approach combining speed with precision. It is ideal for traders who need instant signals and reliable S/R levels for their trading decisions.
Pine Script® göstergesi
kameniczkifx tarafından
SMC OB+HOBSmart Money OB/HOB Indicator — Quick Guide Use this as a field manual: what you’re seeing, how it’s decided, and which settings to use for different timeframes and trade styles. What the tool plots Bullish Order Block (OB) — teal box The last small down candle before a bullish displacement/BOS. Height = candle body (default) or wick range (if you choose “Wick”). Pin (small white dot) at the origin candle’s time to make anchoring obvious. Bearish Order Block (OB) — red box The last small up candle before a bearish displacement/BOS. Hidden Order Block (HOB) — same box but yellow-tinted fill A valid OB with one or more same-bias FVGs “ahead” (i.e., OB sits “behind” inefficiency). These tend to be stronger. Mitigation state (fill transparency) Unmitigated (least transparent): price hasn’t meaningfully traded back into the box. Highest priority. Partial (more transparent): some penetration; still valid. Full (most transparent): fully consumed; lower priority (optional to hide). Top-K border — thin white outline Only the best-scoring OBs/HOBs per direction are drawn to reduce clutter. Auto-Fibs (optional) OTE zone (0.62–0.79) — subtle purple band across the current swing leg. 0.618 / 0.705 / 0.786 — thin white horizontal lines. Confluence here adds score. Trade idea lines (per Top-K block) Entry — white line (mid/edge per your setting). Stop — red line (box edge ± your pad). TP1/TP2 — lime lines, R-based from entry→stop distance. Label shows LONG/SHORT, entry, SL, TP1, TP2, time-stop (bars). Note: Fair Value Gaps (FVGs) are tracked internally to classify HOBs and for pruning, not drawn to avoid noise. How a block is qualified (in plain English) BOS + Displacement: Close breaks the recent swing high/low by at least N ticks and the bar shows impulse (body ≥ X·ATR and ≥ Y% of its total range). (Settings: “Close beyond ≥ ticks”, “Min impulse body (x ATR)”, “Body/TR min %”) Seed candle: Look back ≤ N bars for the last opposite small-body candle (body ≤ Z% of its range). That candle’s body/wick becomes the OB height. (Settings: “Last opposite candle within N bars”, “OB body ≤ % of TR”, “OB height model”) Hidden OB: Count same-bias FVGs “ahead”. If ≥ your threshold → tag the OB as HOB. (Setting: “Require ≥ N same-bias FVGs ahead”) Mitigation tracking: As price trades into the box, we compute penetration %, updating unmitigated / partial / full state each bar. Ranking (Top-K): Every OB/HOB gets a score: near price, newer, hidden, near fib, and unmitigated boost. We draw only the Top-K per direction. Inputs you’ll actually tweak Timeframe Compute on: Current (uses your chart TF) or Specific (MTF scan). Process last N bars: reduce for speed, increase to see more history. Anchoring Extend: Right, Limited, or Origin only. Limited draws boxes to a fixed number of bars so charts stay clean. Show origin pins: Keep on so you always know the source candle. Structure / BOS (signal frequency vs. quality) Require FVG on break bar: ON = stricter, OFF = more signals. Min impulse body (x ATR): higher = stricter. Body/TR min %: higher = stricter. Close beyond ≥ ticks: 0–1 for LTF; 1–3 for HTF. Order Blocks OB height model: Body (cleaner) or Wick (wider protection). Last opposite candle within N bars: 3–8 (higher finds more). OB body ≤ % of TR: 0.35–0.70 (lower = stricter). Min OB height (ticks): 1–2 (avoid micro slivers). Expire on first touch: If ON, removes boxes after first reaction. Hidden OB Require ≥ N FVGs ahead: 0–1 for LTF (more HOBs), 1–2 for HTF. Mitigation Filter (what you show) Toggle Unmitigated / Partial / Full visibility. For precision trading, keep Unmitigated on; show others while scanning. Auto-Fibs Enable fib confluence: On adds score near 0.618/0.705/0.786. Draw lines / OTE: Visual only; confluence also boosts ranking. Tolerance (x ATR): how close price must be to count as “near fib”. Ranking & Draw Top-K per direction: how many OBs/HOBs you’ll see each side. Prefer near / newer / hidden / unmitigated: scoring toggles. Fib boost: how much fib confluence bumps a level. Trade Ideas Entry style: 50% of OB (balanced) or OB edge (faster fills). Stop pad (ticks/ATR): give a little room beyond the box edge. TP1/TP2 (R): risk-multiple targets (e.g., 1R, 2R). Time stop (minutes): exit if it doesn’t go in time. Execution / Alerts (recommended) Keep on-close workflow: do not enable calc_on_every_tick. When creating alerts, choose Once per bar close. How to use it (mechanical checklist) Scan: Focus on Top-K boxes. HOBs (yellow-tinted) and unmitigated get first look. Context (optional): If you like, also check HTF structure or obvious liquidity pools (equal highs/lows). Confluence: Prefer boxes near 0.618/0.705/0.786 or inside the OTE band. Trigger: Let the bar close. If entry line is touched next, you have a go-signal with a placed stop and R-targets. Manage: If TP1 hits, move SL to BE. For HOBs, consider a runner (trail under minor swing/FVG) — they often travel further. Time stop: If it hasn’t moved within N minutes/bars, cut it; don’t babysit. Preset recipes (copy these settings) 1) Hyper-Scalp (1–3m) — frequent, fast Structure / BOS: FVG on break = OFF | Min impulse = 0.6–0.8 | Body/TR = 0.45–0.55 | Close beyond = 0–1 Order Blocks: Opposite lookback = 5–6 | OB body ≤ 0.55–0.60 | Min height = 1 HOB: Need FVGs = 0–1 Mitigation view: Show Unmit/Partial, optionally Full while scanning Ranking: Top-K = 4–6, prefer near/new/hidden/unmit = ON, Fib boost = 0.6–1.0 Trade Ideas: Entry = OB edge, Stop pad = 1–2 ticks, Time stop = 5–8 min Execution: On bar close alerts 2) Intraday (5–15m) — balanced Structure / BOS: FVG on break = OFF | Min impulse = 0.8–1.0 | Body/TR = 0.55–0.60 | Close beyond = 1 Order Blocks: Opposite lookback = 4–5 | OB body ≤ 0.50–0.55 | Min height = 1–2 HOB: Need FVGs = 1 Ranking: Top-K = 3–4, Fib boost = 1.0–1.5 Trade Ideas: Entry = 50%, Stop pad = 2–3 ticks, Time stop = 10–20 min 3) Swing (1H–4H) — selective, higher quality Structure / BOS: FVG on break = ON | Min impulse = ≥1.0 | Body/TR = ≥0.65 | Close beyond = 1–3 Order Blocks: Opposite lookback = 3–4 | OB body ≤ 0.45–0.50 | Min height = 2–4 HOB: Need FVGs = 1–2 Ranking: Top-K = 2–3, Fib boost = 1.5–2.0 Trade Ideas: Entry = 50%, Stop pad = a few ticks + ATR pad, Time stop = few bars 4) HTF (Daily+) — very selective Keep swing settings, increase Min impulse and Close beyond a bit, reduce Top-K to 1–2. Priority rules (what to trade first) HOB over OB Unmitigated over partial/full With fib confluence over without Near price and recent over far/old Favor levels that follow a sweep (equal highs/lows taken, then return to your box) If two boxes tie, take the one with the cleaner origin candle and simpler path to TP (fewer nearby obstacles). Troubleshooting & tips “I’m not seeing many signals.” Loosen Structure/BOS (lower ATR and Body/TR), increase Opposite lookback, allow Partial/Full in view, raise Top-K. “Too many lines/boxes.” Lower Top-K, use Limited extension (Anchoring), hide Partial/Full, and keep fib lines if you rely on confluence. “Stuff looks offset.” Keep origin pins on. Use xloc.bar_time (already in code) and avoid custom time compressions that desync objects. Execution discipline: Use on-close alerts. Respect time stops. Size by fixed risk per trade, not fixed leverage.
Pine Script® göstergesi
GortSerf tarafından
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.
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ata_sabanci tarafından
15
Turtle Body Setup by TradeTech AnalysisOverview Turtle Body Setup is a minimalist, rules-based pattern detector built around a simple idea: a sequence of shrinking candle bodies (compression) often precedes a directional expansion (breakout). The script identifies those compression phases and then flags the first candle whose body expands significantly beyond the recent average, with polarity taken from the candle’s direction. This is not a mash-up of many public indicators. It focuses on one original micro-structure concept: strict body-contraction → body-expansion . The logic is fully described below so traders and moderators can understand what it does and how to use it. How it Works 1. Compression detection (body contraction): • Over a user-defined window Compression Lookback (N), the script counts strictly shrinking candle bodies (|close-open|). • When the count ≥ Min Shrinking Candles, we mark the market as in compression. 2. Expansion / Breakout qualification: • Compute avgBody = SMA(body, N). • A candle is a breakout when current body > avgBody × Breakout Body Multiplier. • Polarity: green (close>open) → Bullish breakout; red (close
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TradeTechanalysis tarafından
CF Cycle Low Projection V2Overview This indicator helps traders analyze repeating market cycles by detecting significant pivot lows and projecting when the next cycle low may occur. It provides timing context to support decision-making but does not generate direct buy/sell signals. How it works Pivot detection : Confirms swing lows using left/right bars. Filters (minimum % move and optional ATR separation) ensure only meaningful lows are counted. Cycle averaging : Calculates the average interval (and standard deviation) between recent pivot lows. Projection : Adds the average interval to the last pivot low to forecast the next potential cycle low. If that point lies in the past, the script rolls forward until the projection is in the future. Timing window : A shaded area around the ETA is drawn, based on either standard deviation or a percentage of the average, showing when a low is statistically more likely to occur. Visualization: • Vertical line = projected cycle low • Shaded box = timing window • Label = countdown in weeks/days/hours • HUD = status, ETA, intervals used How to use Select your preferred timeframe (works on intraday and higher). Allow pivots to accumulate; once the HUD shows Status: OK, projections will appear. Use the ETA line and timing window together with structure, liquidity levels, and support/resistance zones. Combine with your own strategy and risk management rules. Notes Works on any market supported by TradingView (crypto, stocks, forex, indices). Filters can be adjusted to reduce noise (e.g., increase % move or ATR multiplier). This tool is designed for cycle timing analysis only. It does not predict exact prices or guarantee outcomes. Some traders refer to this approach as “camel cycle trading,” but here it is implemented as a pivot-based cycle projection tool.
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Hugors00 tarafından
13
YBL – EMA Pro (Rellena + Borde) + Alertas🔹 Full Description (long) The YBL – EMA Pro indicator is a professional moving average tool designed for traders who want clarity, precision, and flexibility in trend analysis. It combines classic EMA logic with modern visual enhancements and alerts for more effective trading decisions. ✅ Features: Dual EMA Display (fast & slow, user-selectable periods). Filled Zone between EMAs (colored area highlights trend bias). Dynamic Border Lines (outline effect for extra clarity). Customizable Colors & Transparency for both fill and borders. Multi-Timeframe Support (use higher-timeframe EMA on your current chart). Smart Alerts: EMA crossovers (bullish/bearish). Price crossing above/below EMA. Custom alert conditions for flexible strategy building. Scalping & Swing Trading Friendly — adapts to different timeframes. Lightweight & Fast — optimized to avoid heavy load on charts. 👉 With YBL – EMA Pro, you not only track the trend but also get visual confirmation and automatic alerts for actionable entries/exits.
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YBL_YURIEL tarafından
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! 😊🥂
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HenriqueCentieiro tarafından
Silent Trigger Silent Trigger combines widely used concepts under one scoring engine. Each module adds weight only when its conditions are met: 1. Higher-Timeframe (HTF) context • Requests 1H and the next HTF up (e.g., 4H/D) with request.security(...) on confirmed bars only. • Uses RSI(14) and a MACD line (EMA12–EMA26 difference) for bias. • By default HTF weights the score. There is an option to require HTF alignment if you prefer a hard filter. 2. Market regime • ADX for trend strength. • Bollinger Band width and a fractal-energy proxy to detect squeeze/coiling vs expansion. 3. Smart-money / Wyckoff structure • High-volume narrow bars, absorption, spring/upthrust, and liquidity grabs past recent swing highs/lows. 4. Momentum & divergences • RSI and MACD-line divergences (regular + hidden) and simple exhaustion checks. 5. Fair Value Gaps (FVG) • 3-bar gap with mid-gap revisit confirmation. 6. Volume context • Relative volume and a compact 10-bin rolling volume profile to locate HVN proximity. 7. Sessions / time filter • Optional London/NY “kill zone” participation filter. 8. Correlation (optional) • Simple BTC trend check for USD-quoted markets. Pre-Move (yellow) logic: Triggers only when the market is compressed (squeeze/low fractal energy), ADX is rising, the MACD histogram is near zero (pressure building), and there is a money-flow impulse (MFI slope and/or OBV Z-score spike). The yellow diamond is plotted on the side of the expected move: • Below for bullish reversals / Above for bullish breakouts. • Above for bearish reversals / Below for bearish breakouts. A built-in cooldown keeps yellows from spamming. ⸻ What appears on the chart • Bull diamond (green): Total score ≥ your threshold and > bear score. • Bear diamond (magenta): Mirror of the above. • Pre-move (yellow): Early heads-up; use it with HTF context and structure. All diamonds are intentionally tiny to minimize clutter. ⸻ Key settings • Signal Mode & Min Probability – tighten/loosen confirmations. • Use Higher TF in Scoring – soft weighting (default). • Require HTF Alignment – optional hard gate. • Module toggles – Smart Money, Wyckoff, FVG, Correlation, Sessions. • Pre-Move – enable, cooldown bars, MFI levels, OBV Z-score threshold. ⸻ How to use (practical) 1. Choose a TF that matches your style (5–15m intraday, 1H–4H swing). 2. Read HTF bias first; trade in that direction unless structure clearly supports a reversal. 3. Treat yellow as “get ready.” Act only when a green/magenta prints with structure (S/R, FVG, HVN) and acceptable risk. 4. Place stops beyond the liquidity level or FVG midpoint; size positions conservatively. ⸻ Repainting & HTF policy • No lookahead is used anywhere. • request.security is called on confirmed bars; the HTF MACD line is computed inside the HTF context (single series), not by indexing a tuple. • Signals are designed for bar-close confirmation. Intra-bar alerts can change until the bar closes. ⸻ Limitations (honest) • Money-flow features depend on volume quality; thin/synthetic volume reduces reliability. • Pre-moves can fail during unscheduled news shocks or when HTF trend is dominant. • This is not financial advice. You are responsible for entries, exits, and risk. ⸻ Alerts Built-in bull/bear alerts include direction and a probability bucket (Basic/Moderate/Strong/Extreme). Pre-move yellows are primarily visual; you can still set an alert on their plot condition if desired. ⸻ Why this isn’t a “mashup” • A single probability engine blends HTF bias, structure (liquidity/Wyckoff/FVG), regime, and volume into a score, rather than stacking unrelated indicators. • A pre-move detector that requires compression + rising trend energy + money-flow impulse, and places the marker on the side of the expected move, with cooldown control. • A lightweight rolling HVN check to bias continuation vs mean-reversion near key nodes. ⸻ Changelog (summary) • Current release: pre-move module, HTF hard-gate option, tiny diamonds, clarified HTF/no-repaint policy, session filter tidy-up.
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RickyTSpanish tarafından
STC Oscillator [Panel]📈 STC Oscillator – Short Description This indicator plots the STC (Schaff Trend Cycle) line, ranging between 0 and 100, in a dedicated sub-panel. It is intended to be used together with the main overlay script: ➡ "STC Advanced Signals with Early Warnings " The oscillator provides the internal basis for all signals, such as: Early warning pivots Threshold confirmations Candlestick alignment Note: The main overlay indicator does not show the oscillator line itself, in order to keep the price chart clean. Use this sub-panel version to monitor oscillator trends, divergence, or cycle phases directly.
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DominikSol tarafından
STC Advanced Signals with Early Warnings [Overlay]🧠 STC Advanced Signals with Early Warnings – Indicator Description Purpose: The “STC Advanced Signals” indicator is designed for active traders (day traders, scalpers, swing traders) who require early signal detection without relying solely on one single indicator. It offers a combination of momentum shifts, candlestick confirmation, and visual guidance for high-quality trade setups. 🔍 Core Components 1. Early Warning Arrows (Orange) Detected using pivot logic based on the internal STC oscillator curve. Appear 1–3 bars before potential trend shifts. Warning only – no execution signal yet. Can alert traders to prepare for setups in advance. 2. Confirmed Signals (Gold Arrows) Appear after threshold breakouts of the STC oscillator: Up Arrow: STC crosses above thresholdUp (default: 25). Down Arrow: STC crosses below thresholdDown (default: 75). These are execution-level signals and often indicate momentum breakout or reversal confirmation. 3. Tiny Pre-Confirmation Circles (Yellow) Optional component (can be toggled on/off). Visualize potential micro-cycles before full signal confirmation. Useful for anticipating trend continuation or delay. 4. Candlestick Pattern Recognition Auto-detects 5 reliable patterns, printed one bar after confirmation: HA = Hammer SS = Shooting Star DJ = Doji EB = Engulfing Bullish ES = Engulfing Bearish Labels are plotted above candles and the bar is highlighted yellow. Ideal for confirming signals via price action structure. 🧰 Chart Setup Recommendations Best used on M5, M15 (Scalping/Intraday), or H1 (Swing). Suggested workflow: Observe orange Early Warning arrow Wait for confirmed yellow/gold arrow Confirm with candlestick pattern Optionally add volume, trend filters (e.g., EMA200) 📊 Technical Notes This script does not display the STC line itself. To view the oscillator line (ranging 0–100), add the companion script: ➤ STC Oscillator This panel-based indicator must be attached in a separate sub-window and mirrors the official cTrader STC calculation. 🛡 Risk Management Suggestions Always use stop loss: e.g., below hammer low. Max 0.5% account risk per trade. Combine multiple signals before executing. Avoid trading during high-impact news unless backtested.
Pine Script® göstergesi
DominikSol tarafından
Stock Scoring SystemThe EMA Scoring System is designed to help traders quickly assess market trend strength and decide portfolio allocation. It compares price vs. key EMAs (21, 50, 100) and also checks the relative strength between EMAs. Based on these conditions, it assigns a score (-6 to +6) and a corresponding allocation percentage. +6 Score = 100% allocation (strong bullish trend) -6 Score = 10% allocation (strong bearish trend) Scores in between represent intermediate trend strength. 📌 Key Features ✅ Scoring Model: Evaluates price vs. EMA alignment and EMA cross relationships. ✅ Allocation % Display: Converts score into suggested portfolio allocation. ✅ Background Highlighting: Green shades for bullish conditions, red shades for bearish. ✅ Customizable Table Position: Choose between Top Right, Top Center, Bottom Right, or Bottom Center. ✅ Toggleable EMAs: Show/Hide 21 EMA, 50 EMA, and 100 EMA directly from indicator settings. ✅ Simple & Intuitive: One glance at the chart tells you trend strength and suggested allocation. 📈 How It Works Score Calculation: Price above an EMA = +1, below = -1 Faster EMA above slower EMA = +1, else -1 Maximum score = +6, minimum = -6 Allocation Mapping: +6 → 100% allocation +4 to +5 → 100% allocation +2 to +3 → 75% allocation 0 to +1 → 50% allocation -1 to -2 → 30% allocation -3 to -4 → 20% allocation -5 to -6 → 10% allocation Visual Output: Table shows SCORE + Allocation % Background color shifts with score (green for bullish, red for bearish) ⚠️ Disclaimer This indicator is for educational purposes only. It does not constitute financial advice. Always backtest and combine with your own analysis before making trading decisions.
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AlgoGram tarafından
NeuroSwarm BTC: Мудрость Толпы vs Эксперты(RUS) 📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты». В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram. Толпа — агрегированные прогнозы участников (медиана и среднее). Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков. Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов. Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка. ⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений. Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами. (ENG) 📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”. Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities. Crowd — aggregated forecasts from participants (median & average). Experts — separate group of opinion leaders, traders, and analysts. All values are fixed for each month and plotted on the chart as lines with shaded ranges. This allows to compare expectations of different groups with actual market performance. ⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization. The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.
Pine Script® göstergesi
Nikki_23 tarafından
1
NeuroSwarm ETH: Мудрость Толпы vs Эксперты (RUS) 📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты». В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram. Толпа — агрегированные прогнозы участников (медиана и среднее). Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков. Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов. Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка. ⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений. Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами. (ENG) 📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”. Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities. Crowd — aggregated forecasts from participants (median & average). Experts — separate group of opinion leaders, traders, and analysts. All values are fixed for each month and plotted on the chart as lines with shaded ranges. This allows to compare expectations of different groups with actual market performance. ⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization. The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.
Pine Script® göstergesi
Nikki_23 tarafından
1
Cyclic Reversal Engine [AlgoPoint]Overview Most indicators focus on price and momentum, but they often ignore a critical third dimension: time. Markets move in rhythmic cycles of expansion and contraction, but these cycles are not fixed; they speed up in trending markets and slow down in choppy conditions. The Cyclic Reversal Engine is an advanced analytical tool designed to decode this rhythm. Instead of relying on static, lagging formulas, this indicator learns from past market behavior to anticipate when the current trend is statistically likely to reach its exhaustion point, providing high-probability reversal signals. It achieves this by combining a sophisticated time analysis with a robust price-action confirmation. How It Works: The Core Logic The indicator operates on a multi-stage process to identify potential turning points in the market. 1. Market Regime Analysis (The Brain): Before analyzing any cycles, the indicator first diagnoses the current "personality" of the market. Using a combination of the ADX, Choppiness Index, and RSI, it classifies the market into one of three primary regimes: - Trending: Strong, directional movement. - Ranging: Sideways, non-directional chop. - Reversal: An over-extended state (overbought/oversold) where a turn is imminent. 2. Adaptive Cycle Learning (The "Machine Learning" Aspect): This is the indicator's smartest feature. It constantly analyzes past cycles by measuring the bar-count between significant swing highs and swing lows. Crucially, it learns the average cycle duration for each specific market regime. For example, it learns that "in a strong trending market, a new swing low tends to occur every 35 bars," while "in a ranging market, this extends to 60 bars." 3. The Countdown & Timing Signal: The indicator identifies the last major swing high or low and starts a bar-by-bar countdown. Based on the current market regime, it selects the appropriate learned cycle length from its memory. When the bar count approaches this adaptive target, the indicator determines that a reversal is "due" from a timing perspective. 4. Price Confirmation (The Trigger): A signal is never generated based on timing alone. Once the timing condition is met (the cycle is "due"), the indicator waits for a final price-action confirmation. The default confirmation is the RSI entering an extreme overbought or oversold zone, signaling momentum exhaustion. The signal is only triggered when Time + Price Confirmation align. How to Use This Indicator - The Dashboard: The panel in the bottom-right corner is your command center. - Market Regime: Shows the current market personality analyzed by the engine. - Adaptive Cycle / Bar Count: This is the core of the indicator. It shows the target cycle length for the current regime (e.g., 50) and the current bar count since the last swing point (e.g., 45). The background turns orange when the bar count enters the "due zone," indicating that you should be on high alert for a reversal. - BUY/SELL Signals: A label appears on the chart only when the two primary conditions are met: The timing is right (Bar Count has reached the Adaptive Cycle target). The price confirms exhaustion (RSI is in an extreme zone). A BUY signal suggests a downtrend cycle is likely complete, and a SELL signal suggests an uptrend cycle is likely complete. Key Settings - Pivot Lookback: Controls the sensitivity of the swing point detection. Higher values will identify more significant, longer-term cycles. - Market Regime Engine: The ADX, Choppiness, and RSI settings can be fine-tuned to adjust how the indicator classifies the market's personality. - Require Price Confirmation: You can toggle the RSI confirmation on or off. It is highly recommended to keep it enabled for higher-quality signals.
Pine Script® göstergesi
Iamalala tarafından
8
BTC 1D — Trend START/END Signals (clean, no repaint) This strategy is designed primarily for BTC on the daily (1D) timeframe in TradingView. BUY (start of uptrend) Fast EMA is above Slow EMA. Price breaks above the previous Donchian high. Optional filters (if enabled): volume surge and strong momentum/RSI. Only one BUY per uptrend—no additional buys until a SELL occurs. SELL (end of uptrend) Price falls below the previous Donchian low, or Price drops below the Slow EMA, or Momentum flips bearish (DI− > DI+ or RSI ≤ threshold). One SELL marks the end of the uptrend.
Pine Script® göstergesi
Frodo1978 tarafından