APC – Anti-Analysis-Paralysis Kompass APC – Anti-Analysis-Paralysis Compass (Pine v5).
Research/education indicator that compresses trend from 5 timeframes into one compass with Direction, Score, and Coherence (TF agreement). Non-repainting with a high-contrast breakdown table and in-chart help. No financial advice.
What it is
APC is a research/education tool that condenses trend information from five timeframes into a single compass. It shows Direction (↑/↓/→), a weighted Score, and Coherence (how strongly timeframes agree). The script is non-repainting (security(..., lookahead=off)) and includes a readable breakdown panel and example alerts.
How it works
• For each timeframe APC fits a linear regression to price, measures the slope change over k bars, optionally normalizes by ATR%, then maps it to +1 / 0 / −1 using a Deadzone (small slopes → neutral).
• A (weighted) sum of the five signs forms the Score.
• Coherence = |Score| / maxScore (0–100%), i.e., degree of TF alignment.
Quick start (suggested defaults)
• Timeframes: 15m · 1h · 4h · 1D · 1W • Weights: 1, 1, 1, 1.5, 2
• LinReg length: 100 • Slope Δ window: 10
• ATR normalization: ON • Deadzone: 0.03–0.05
• Coherence lock (for example alerts): 60%
Example research filters (non-advisory)
Many users test: Bullish bias when Score ≥ +3 and Coherence ≥ 60%; bearish bias when Score ≤ −3 and Coherence ≥ 60%. These are illustrative defaults only—configure and test your own thresholds.
Optional: pair with Kagi
Use APC for bias/conviction and Kagi turns for timing. Typical Kagi (swing): base 15m–1h, reversal ATR(14) × 1.5–2.5 or 1–3%.
Notes
Raise Deadzone in choppy markets; lower it for earlier flips. On very illiquid or young symbols, lengthen lenLR.
Disclaimer
APC is a research & educational indicator. It does not provide financial advice or recommendations. Use at your own risk. License: MIT.
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ICT Daily 50% RangeThis indicator marks out the 50% daily range, ideal as Support & Resistance and for ICT Trading.
Etihad Indicator This indicator gives a buy signal when RSI is above 50 and momemntum (14) is above 0. Gives a sell signal when RSI is below 50 and momentum below 0.
RSI ADX Bollinger Analysis High-level purpose and design philosophy
This indicator — RSI-ADX-Bollinger Analysis — is a compact, educational market-analysis toolkit that blends momentum (RSI), trend strength (ADX), volatility structure (Bollinger Bands) and simple volumetrics to provide traders a snapshot of market condition and trade idea quality. The design philosophy is explicit and layered: use each component to answer a different question about price action (momentum, conviction, volatility, participation), then combine answers to form a more robust, explainable signal. The mashup is intended for analysis and learning, not automatic execution: it surfaces the why behind signals so traders can test, learn and apply rules with risk management.
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What each indicator contributes (component-by-component)
RSI (Relative Strength Index) — role and behavior: RSI measures short-term momentum by comparing recent gains to recent losses. A high RSI (near or above the overbought threshold) indicates strong recent buying pressure and potential exhaustion if price is extended. A low RSI (near or below the oversold threshold) indicates strong recent selling pressure and potential exhaustion or a value area for mean-reversion. In this dashboard RSI is used as the primary momentum trigger: it helps identify whether price is locally over-extended on the buy or sell side.
ADX (Average Directional Index) — role and behavior: ADX measures trend strength independently of direction. When ADX rises above a chosen threshold (e.g., 25), it signals that the market is trending with conviction; ADX below the threshold suggests range or weak trend. Because patterns and momentum signals perform differently in trending vs. ranging markets, ADX is used here as a filter: only when ADX indicates sufficient directional strength does the system treat RSI+BB breakouts as meaningful trade candidates.
Bollinger Bands — role and behavior: Bollinger Bands (20-period basis ± N standard deviations) show volatility envelope and relative price position vs. a volatility-adjusted mean. Price outside the upper band suggests pronounced extension relative to recent volatility; price outside the lower band suggests extended weakness. A band expansion (increasing width) signals volatility breakout potential; contraction signals range-bound conditions and potential squeeze. In this dashboard, Bollinger Bands provide the volatility/structural context: RSI extremes plus price beyond the band imply a stronger, volatility-backed move.
Volume split & basic MA trend — role and behavior: Buy-like and sell-like volume (simple heuristic using close>open or closeopen) or sell-like (close1.2 for validation and compare win rate and expectancy.
4. TF alignment: Accept signals only when higher timeframe (e.g., 4h) trend agrees — compare results.
5. Parameter sensitivity: Vary RSI threshold (70/30 vs 80/20), Bollinger stddev (2 vs 2.5), and ADX threshold (25 vs 30) and measure stability of results.
These exercises teach both statistical thinking and the specific failure modes of the mashup.
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Limitations, failure modes and caveats (explicit & teachable)
• ADX and Bollinger measures lag during fast-moving news events — signals can be late or wrong during earnings, macro shocks, or illiquid sessions.
• Volume classification by open/close is a heuristic; it does not equal TAPEDATA, footprint or signed volume. Use it as supportive evidence, not definitive proof.
• RSI can remain overbought or oversold for extended stretches in persistent trends — relying solely on RSI extremes without ADX or BB context invites large drawdowns.
• Small-cap or low-liquidity instruments yield noisy band behavior and unreliable volume ratios.
Being explicit about these limitations is a strong point in a TradingView description — it demonstrates transparency and educational intent.
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Originality & mashup justification (text you can paste)
This script intentionally combines classical momentum (RSI), volatility envelope (Bollinger Bands) and trend-strength (ADX) because each indicator answers a different and complementary question: RSI answers is price locally extreme?, Bollinger answers is price outside normal volatility?, and ADX answers is the market moving with conviction?. Volume participation then acts as a practical check for real market involvement. This combination is not a simple “indicator mashup”; it is a designed ensemble where each element reduces the others’ failure modes and together produce a teachable, testable signal framework. The script’s purpose is educational and analytical — to show traders how to interpret the interplay of momentum, volatility, and trend strength.
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TradingView publication guidance & compliance checklist
To satisfy TradingView rules about mashups and descriptions, include the following items in your script description (without exposing source code):
1. Purpose statement: One or two lines describing the script’s objective (educational multi-indicator market overview and idea filter).
2. Component list: Name the major modules (RSI, Bollinger Bands, ADX, volume heuristic, SMA trend checks, signal tracking) and one-sentence reason for each.
3. How they interact: A succinct non-code explanation: “RSI finds momentum extremes; Bollinger confirms volatility expansion; ADX confirms trend strength; all three must align for a BUY/SELL.”
4. Inputs: List adjustable inputs (RSI length and thresholds, BB length & stddev, ADX threshold & smoothing, volume MA, table position/size).
5. Usage instructions: Short workflow (check TF alignment → confirm participation → define stop & R:R → backtest).
6. Limitations & assumptions: Explicitly state volume is approximated, ADX has lag, and avoid promising guaranteed profits.
7. Non-promotional language: No external contact info, ads, claims of exclusivity or guaranteed outcomes.
8. Trademark clause: If you used trademark symbols, remove or provide registration proof.
9. Risk disclaimer: Add the copy-ready disclaimer below.
This matches TradingView’s request for meaningful descriptions that explain originality and inter-component reasoning.
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Copy-ready short publication description (paste into TradingView)
Advanced RSI-ADX-Bollinger Market Overview — educational multi-indicator dashboard. This script combines RSI (momentum extremes), Bollinger Bands (volatility envelope and band expansion), ADX (trend strength), simple SMA trend bias and a basic buy/sell volume heuristic to surface high-quality idea candidates. Signals require alignment of momentum, volatility expansion and rising ADX; volume participation is displayed to support signal confidence. Inputs are configurable (RSI length/levels, BB length/stddev, ADX length/threshold, volume MA, display options). This tool is intended for analysis and learning — not for automated execution. Users should back test and apply robust risk management. Limitations: volume classification here is a heuristic (close>open), ADX and BB measures lag in fast news events, and results vary by instrument liquidity.
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Copy-ready risk & misuse disclaimer (paste into description or help file)
This script is provided for educational and analytical purposes only and does not constitute financial or investment advice. It does not guarantee profits. Indicators are heuristics and may give false or late signals; always back test and paper-trade before using real capital. The author is not responsible for trading losses resulting from the use or misuse of this indicator. Use proper position sizing and risk controls.
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Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
LP Sweep / Reclaim & Breakout Grading: Long-onlySignals
1) LP Sweep & Reclaim (mean-reversion entry)
Compute LP bounds from prior-bar window extremes:
lpLL_prev = lowest low of the last N bars (offset 1).
lpHH_prev = highest high of the last N bars (offset 1).
Sweep long trigger: current low dips below lpLL_prev and closes back above it.
Real-time quality grading (A/B/C) for sweep:
Trend filter & slope via EMA(88).
BOS bonus: close > last confirmed swing high.
Body size vs ATR, location above a long EMA, headroom to swing high (penalty if too close), and multi-sweep count bonus.
Sum → score → grade A/B/C; A or B required for sweep entry.
2) Trend Breakout (momentum entry)
Core trigger: close > previous Donchian high (length boLen) + ATR buffer.
Optional filter: close must be above the default EMA.
Breakout grading (A/B/C) in real time combining:
Trend up (price > EMA and EMA rising),
Body/ATR, Gap above breakout level (in ATR),
Volume vs MA,
Upper-wick penalty,
Position-in-Score: headroom to last swing high (penalty if too near) + EMA slope bonus.
Sum → score → A or B required if grading enabled.
Smart Money Concepts Probability (Expo) RitSmart Money Concepts Probability (Expo) — v2
Overview
This indicator maps market structure using confirmed swing pivots and quantifies the follow-through of SMC events—CHoCH, SMS, and BMS—as real-time probabilities. It adds robust filters (ATR swing size, multi-timeframe bias) and statistically honest display (Laplace smoothing and Wilson confidence bands) to reduce noise and make the stats you see on the chart closer to what actually plays out.
How it works
Detects confirmed swing highs/lows with ta.pivothigh/ta.pivotlow.
Tracks a structure state machine: bias flips to CHoCH (±1), confirms to SMS (±2), then BMS/continuations (>|±2|).
Logs every transition as a success (continuation) or failure (reversion) and computes: Raw Win%, Laplace-smoothed probability, and Wilson confidence interval.
Draws Premium/Discount/Mid zones between the latest swing high/low and shows contextual probability labels at the extremes.
Filters & Upgrades
ATR swing filter: ignores tiny breaks; only counts pivots that exceed a user-set multiple of ATR.
MTF bias gate: only allows bullish sequences when price is above an HTF moving average (and vice-versa).
Label throttle: minimum bar spacing between plotted events to keep charts readable.
Response vs. Period: choose short-term or long-term structure resolution.
Outputs & Visuals
On-chart labels/lines for CHoCH/SMS/BMS (bull/bear colors).
Top-right table with Wins, Losses, Profitability, Laplace p̂, and Wilson CI (with sample-size guard).
Probability labels near current Up/Dn extremes.
Optional alerts containing ticker, timeframe, and the current probability summary.
Using the stats
Profitability = all-time raw follow-through rate.
Laplace p̂ stabilizes small-N swings.
Wilson CI shows a conservative range; the lower bound is a practical “floor.”
For best results, align entries with MTF bias, ensure swings pass the ATR filter, and favor entries in Discount (for longs) / Premium (for shorts) when the structure agrees.
Notes
This is an analytical tool, not a signal service. Always validate on your markets/timeframes and combine with risk management.
Snehal Desai's Nifty Predictor This script will let you know all major indicator's current position and using AI predict what is going to happen nxt. for any quetions you can mail me at snehaldesai37@gmail.com. for benifit of all.
VWAP CloudThe VWAP Cloud is a dynamic intraday/rolling VWAP indicator with customizable standard deviation bands.
It helps traders identify value zones, overbought/oversold areas, and trend bias based on whether price is trading above or below the VWAP.
VWAP (Volume-Weighted Average Price) acts as a fair-value benchmark.
Inner Cloud (±1 stdev by default) highlights short-term deviations from VWAP.
Outer Cloud (±2 stdev by default) shows extreme zones where reversals or continuation moves are more likely.
Cloud colors adjust dynamically:
🟩 Green = VWAP is rising (bullish bias)
🟥 Red = VWAP is falling (bearish bias)
🩶 Gray Outer Cloud = volatility envelope
This makes the VWAP Cloud useful for scalpers, day traders, and swing traders alike.
⚙️ Inputs & Settings
VWAP Source → Price input for VWAP calculation (default: hlc3).
Reset each session → ON = Session VWAP (resets daily), OFF = Rolling VWAP.
Stdev Lookback → Window length for standard deviation calculation.
Inner Band Multiplier → Width of the first (inner) band.
Outer Band Multiplier → Width of the second (outer) band.
Show VWAP Midline → Toggle the VWAP line on/off.
Cloud Colors → Customize bullish, bearish, and neutral shading.
📊 How to Use
Add VWAP Cloud to your chart.
Choose between Session VWAP (intraday resets) or Rolling VWAP (continuous).
Use Inner Cloud as a short-term fair value zone:
Price inside = balanced trading.
Breakouts above/below = possible momentum continuation.
Watch Outer Cloud for extremes:
Price reaching outer bands often signals exhaustion or potential reversals.
Trend bias:
Price above VWAP = bullish bias.
Price below VWAP = bearish bias.
⚠️ Disclaimer: This tool is for educational purposes. Always combine it with proper risk management and other confluence factors.
RSI MA Cross + Divergence Signal (fixed)🔹 Core Logic
RSI + Moving Average
The script calculates a standard RSI (default 14).
It then overlays a moving average (SMA/EMA/WMA, default 9).
When RSI crosses above its MA → bullish momentum.
When RSI crosses below its MA → bearish momentum.
Divergence Filter
Signals are only valid if there’s confirmed divergence:
Bullish divergence: Price makes a lower low, RSI makes a higher low.
Bearish divergence: Price makes a higher high, RSI makes a lower high.
Overbought / Oversold Filter
Optional extra:
Bullish signals only valid if RSI ≤ 30 (oversold).
Bearish signals only valid if RSI ≥ 70 (overbought).
This ensures signals happen in “stretched” conditions.
Risk & Trade Management
Entries taken only when all conditions align.
Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version).
Cooldown, session filters, and daily loss guard to keep risk tight.
🔹 Strengths
✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality.
✅ Great at catching reversals: Divergence highlights where price may be running out of steam.
✅ Risk management baked in: ATR stops + partial exits smooth out equity curve.
✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected.
✅ Flexible: You can loosen/tighten filters depending on aggressiveness.
🔹 Weaknesses
❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes.
❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw.
❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade.
❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries.
🔹 Best Ways to Trade It
Use Higher Timeframe Bias
Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA).
Example: If daily is bullish → only take bullish divergences.
Pair With Structure
Look for signals at key zones: HTF support/resistance, VWAP, or FVGs.
Divergence + RSI cross inside an FVG is a strong entry trigger.
Adjust OB/OS for Volatility
For crypto/FX: use 35/65 instead of 30/70 (markets trend harder).
For ES/S&P: 30/70 works fine.
Risk Management Is King
Use partial exits: take profit at 1R, trail rest.
Size by % of equity (we coded this into the strategy).
Avoid News Spikes
Divergences break down around CPI, NFP, Fed announcements — stay flat.
🔹 When It Shines
Trending markets that make extended pushes → clean divergences.
Reversal zones (oversold → bullish bounce, overbought → bearish fade).
Swing trading (15m–4H) — less noise than 1m/5m scalping.
🔹 When to Avoid
Low volatility chop → lots of false divergences.
During high-impact news → RSI swings wildly.
In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early.
✅ Summary:
This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
Normalized Volume Z-Score
The Normalized Volume Z-Score indicator measures how unusual the current trading volume is compared to its recent history.
It calculates the z-score of volume over a user-defined lookback period (default: 50 bars), optionally using log-volume normalization.
A z-score tells you how many standard deviations today’s volume is away from its mean:
Z = 0 → volume is at its average.
Z > 0 → volume is higher than average.
Z < 0 → volume is lower than average.
Threshold lines (±2 by default) highlight extreme deviations, which often signal unusual market activity.
How to Trade with It
High positive Z-score (> +2):
Indicates abnormally high volume. This often happens during breakouts, strong trend continuations, or capitulation events.
→ Traders may look for confirmation from price action (e.g., breakout candle, strong trend bar) before entering a trade.
High negative Z-score (< –2):
Indicates unusually low volume. This may signal lack of interest, consolidation, or exhaustion.
→ Traders may avoid entering new positions during these periods or expect potential reversals once volume returns.
Cross back inside thresholds:
When z-score returns inside ±2 after an extreme spike, it may suggest that the abnormal activity has cooled down.
Tips
Works best when combined with price structure (support/resistance, demand/supply zones).
Can be applied to crypto, stocks, forex, futures – anywhere volume is meaningful.
Log normalization helps reduce distortion when some days have extremely large volumes.
Комбинированный сигнал: MA10/MA40 + RSI50 + ЧайкинFriends, I share with you my indicator by strategy: crossing MA10/MA40 + RSI50 + Chaikin (above/below 0).
Indicator when the signal appears shows the entrance to the long/ short
The indicator works well on the trend. There may be false signals in the sidewall.
Current Candle Sizeprints the size of the candle below so you can identify if it's too large to take a position using the 9/20 strategy
Rolling Range Bands by tvigRolling Range Bands
Plots two dynamic price envelopes that track the highest and lowest prices over a Short and Long lookback. Use them to see near-term vs. broader market structure, evolving support/resistance, and volatility changes at a glance.
What it shows
• Short Bands: recent trading range (fast, more reactive).
• Long Bands: broader range (slow, structural).
• Optional step-line style and shaded zones for clarity.
• Option to use completed bar values to avoid intrabar jitter (no repaint).
How to read
• Price pressing the short high while the long band rises → short-term momentum in a larger uptrend.
• Price riding the short low inside a falling long band → weakness with trend alignment.
• Band squeeze (narrowing) → compression; watch for breakout.
• Band expansion (widening) → rising volatility; expect larger swings.
• Repeated touches/rejections of long bands → potential areas of support/resistance.
Inputs
• Short Window, Long Window (bars)
• Use Close only (vs. High/Low)
• Use completed bar values (stability)
• Step-line style and Band shading
Tips
• Works on any symbol/timeframe; tune windows to your market.
• For consistent scaling, pin the indicator to the same right price scale as the chart.
Not financial advice; combine with trend/volume/RSI or your system for entries/exits.
session H/L with PDH/PDLjust a simple session high/low indicator to give S&R confluence support also includes PDH/PDL
Candle Time Remaining -oxelongcandle timer visible above current candle changes color as it counts down
EMAs + Golden/Death Cross con Flechas
Emas crossing. Death Cross and Golden Cross. Emas of 50, 100, and 200. Editable. Recommended time frame: 30 minutes.
Squeeze Momentum CV [Divergencias]RAFAEL CEPEDA Strategy es parte del mejor, una estrategia super facil
RSI Momentum Trend MM with Risk Per Trade [MTF]This is a comprehensive and highly customizable trend-following strategy based on RSI momentum. The core logic identifies strong directional moves when the RSI crosses user-defined thresholds, combined with an EMA trend confirmation. It is designed for traders who want granular control over their strategy's parameters, from signal generation to risk management and exit logic.
This script evolves a simple concept into a powerful backtesting tool, allowing you to test various money management and trade management theories across different timeframes.
Key Features
- RSI Momentum Signals: Uses RSI crosses above a "Positive" level or below a "Negative" level to generate trend signals. An EMA filter ensures entries align with the immediate trend.
- Multi-Timeframe (MTF) Analysis: The core RSI and EMA signals can be calculated on a higher timeframe (e.g., using 4H signals to trade on a 1H chart) to align trades with the larger trend. This feature helps to reduce noise and improve signal quality.
Advanced Money Management
- Risk per Trade %: Calculate position size based on a fixed percentage of equity you want to risk per trade.
- Full Equity: A more aggressive option to open each position with 100% of the available strategy equity.
Flexible Exit Logic: Choose from three distinct exit strategies to match your trading style
- Percentage (%) Based: Set a fixed Stop Loss and Take Profit as a percentage of the entry price.
- ATR Multiplier: Base your Stop Loss and Take Profit on the Average True Range (ATR), making your exits adaptive to market volatility.
- Trend Reversal: A true trend-following mode. A long position is held until an opposite "Negative" signal appears, and a short position is held until a "Positive" signal appears. This allows you to "let your winners run."
Backtest Date Range Filter: Easily configure a start and end date to backtest the strategy's performance during specific market periods (e.g., bull markets, bear markets, or high-volatility periods).
How to Use
RSI Settings
- Higher Timeframe: Set the timeframe for signal calculation. This must be higher than your chart's timeframe.
- RSI Length, Positive above, Negative below: Configure the core parameters for the RSI signals.
Money Management
Position Sizing Mode
- Choose "Risk per Trade" to use the Risk per Trade (%) input for precise risk control.
- Choose "Full Equity" to use 100% of your capital for each trade.
- Risk per Trade (%): Define the percentage of your equity to risk on a single trade (only works with the corresponding sizing mode).
SL/TP Calculation Mode
Select your preferred exit method from the dropdown. The strategy will automatically use the relevant inputs (e.g., % values, ATR Multiplier values, or the trend reversal logic).
Backtest Period Settings
Use the Start Date and End Date inputs to isolate a specific period for your backtest analysis.
License & Disclaimer
© waranyu.trkm — MIT License.
This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before making any trading decisions.
FVMA + SuperTrend + top and bottom Strategy Full CustomizationFVMA + SuperTrend + top and bottom Strategy Full Customization
Pin Bar (Body in Half Candle) Pin Bar Identification Rules
1. The candlestick body must not exceed half the total candle range.
2.The candlestick body size must not exceed 45% of the entire candle length.
version 1.0.1
Pin Bar (Body in Half Candle)Pin Bar Identification Rules
1.The candlestick body must not exceed half the total candle range.
2.The candlestick body size must not exceed 35% of the entire candle length.
Pin Bar识别
1. K线的实体不超过K线大小的一半
2. K线实体大小不超过整根K线大小的0.35
RSI with Dual Smoothed MAs + Trend Background + Alerts✅ RSI with selectable source (open, high, low, close, hl2, hlc3, ohlc4)
✅ Two smoothed MAs (SMA, EMA, WMA, RMA, VWMA)
✅ Slope-based MA colors (Green = rising, Red = falling, Gray = flat)
✅ Background shading (Green = bullish, Red = bearish)
✅ Alerts:
Bullish MA crossover
Bearish MA crossover
RSI Overbought (>70)
RSI Oversold (<30)