Market Sentiment OscillatorMarket Sentiment Oscillator
Overview
The Market Sentiment Oscillator is a Pine Script v6 indicator for TradingView that assesses market context with a composite oscillator. It blends MACD, RSI, and Volume Price Trend (VPT) into a normalized score, with optional multi-timeframe (MTF) averaging and optional trail lines to visualize recent extremes. Weighting and normalization are used to keep the scale consistent across symbols and timeframes. A compact status table summarizes sentiment, trend, and turning-point markers.
How It Works
• Composite score: finalScore = 0.4 · MACD_hist + 0.4 · ((RSI − 50)/50) + 0.2 · VPT_norm. MACD/RSI emphasize momentum; VPT_norm (z-score of a cumulative VPT) adds volume context.
• MTF (optional): The same score is computed on a higher timeframe (default: 1H) and averaged with the chart-TF score for broader context. MTF requests use lookahead_off.
• Neutral buffer: Readings within ±0.2 (default) are treated as neutral to reduce noise.
• Markers: Early turning points are labeled Hypothetical; labels switch to Verified after a fixed bar count.
• Trails (visual only): Lines connect recent extreme highs/lows of the oscillator, with optional dashed previews and short forward extensions for illustration.
Key Features
• Composite Sentiment Score: Structured blend of MACD, RSI, and normalized VPT.
• Multi-Timeframe Context : Optional averaging with a higher timeframe score.
• Visual Trails: Extreme-to-extreme lines and optional previews for context (charting aid).
• Adaptive Coloring: Gradient or solid coloring based on direction and magnitude.
• Turning-Point Markers: Hypothetical and Verified labels for tops/bottoms.
• Status Table: Summarizes sentiment state, trend, and recent turning-point info.
• Customizable: MACD/RSI/VPT inputs, neutral zone, colors, visibility.
What It Displays
A composite, normalized view of momentum and volume context, with optional higher-timeframe blending and visual trails to help interpret shifts between bearish, neutral, and bullish conditions.
Originality
Original Pine v6 implementation using TradingView built-ins: ta.macd, ta.rsi, ta.cum, ta.sma, ta.stdev, ta.pivothigh, ta.pivotlow, and request.security.
Common Uses
• Reviewing momentum context alongside volume influence.
• Illustrating shifts between bearish/neutral/bullish conditions.
• Adding higher-timeframe context to a lower-timeframe view.
Configuration Notes
Set MACD (default 12/26/9), RSI (default 14), and VPT options. Choose a higher timeframe (default 1H) if using MTF. Adjust the neutral zone (default ±0.2), coloring mode, and visibility of trails and table.
Repainting & Limitations
• MTF: Uses lookahead_off to avoid higher-timeframe repainting.
• Pivots/labels: Turning-point pivots are verified only after the required right bars close; “Hypothetical” labels are early and may update intra-bar.
• Trails/previews: Visual aids only; previews and short forward extensions can update while a bar is forming.
Legal Disclaimer
This indicator is for informational and educational purposes only—not investment, financial, or trading advice. Past performance does not guarantee future results; trading involves risk of loss. Provided “as is” without warranties. Consult a qualified professional before making decisions.
震盪指標
Hummingbird Probability Mapping IndicatorHummingbird Probability Mapping Indicator - A nature inspired indicator that utilizes combinations of the following trend patterns and projects a probability mapping with greater than 70% accuracy based on real-time analysis.
EMA Trend
MACD
RSI
VWAP Spread
Burst
Squeeze
Volatility (ATRp)
Qi Dass
MFx Radar (Money Flow x-Radar)Description:
MFx Radar is a precision-built multi-timeframe analysis tool designed to identify high-probability trend shifts and accumulation/distribution events using a combination of WaveTrend dynamics, normalized money flow, RSI, BBWP, and OBV-based trend biasing.
Multi-Timeframe Trend Scanner
Analyze trend direction across 5 customizable timeframes using WaveTrend logic to produce a clear trend consensus.
Smart Money Flow Detection
Adaptive hybrid money flow combines CMF and MFI, normalized across lookback periods, to pinpoint shifts in accumulation or distribution with high sensitivity.
Event-Based Labels & Alerts
Minimalist "Accum" and "Distr" text labels appear at key inflection points, based on hybrid flow flips — designed to highlight smart money moves without clutter.
Trigger & Pattern Recognition
Built-in logic detects anchor points, trigger confirmations, and rare "Snake Eye" formations directly on WaveTrend, enhancing trade timing accuracy.
Visual Dashboard Table
A real-time table provides score-based insight into signal quality, trend direction, and volume behavior, giving you a full picture at a glance.
MFx Radar helps streamline discretionary and system-based trading decisions by surfacing key confluences across price, volume, and momentum all while staying out of your way visually.
How to Use MFx Radar
MFx Radar is a multi-timeframe market intelligence tool designed to help you spot trend direction, momentum shifts, volume strength, and high-probability trade setups using confluence across price, flow, and timeframes.
Where to find settings To see the full visual setup:
After adding the script, open the Settings gear. Go to the Inputs tab and enable:
Show Trigger Diamonds
Show WT Cross Circles
Show Anchor/Trigger/Snake Eye Labels
Show Table
Show OBV Divergence
Show Multi-TF Confluence
Show Signal Score
Then, go to the Style tab to adjust colors and fills for the wave plots and hybrid money flow. (Use published chart as a reference.)
What the Waves and Colors Mean
Blue WaveTrend (WT1 / WT2). These are the main momentum waves.
WT1 > WT2 = bullish momentum
WT1 < WT2 = bearish momentum
Above zero = bullish bias
Below zero = bearish bias
When WT1 crosses above WT2, it often marks the beginning of a move — these are shown as green trigger diamonds.
VWAP-MACD Line
The yellow fill helps spot volume-based momentum.
Rising = trend acceleration
Use together with BBWP (bollinger band width percentile) and hybrid money flow for confirmation.
Hybrid Money Flow
Combines CMF and MFI, normalized and smoothed.
Green = accumulation
Red = distribution
Transitions are key — especially when price moves up, but money flow stays red (a divergence warning).
This is useful for spotting fakeouts or confirming smart money shifts.
Orange Vertical Highlights
Shows when price is rising, but money flow is still red.
Often a sign of hidden distribution or "exit pump" behavior.
Table Dashboard (Bottom-Right)
BBWP (Volatility Pulse)
When BBWP is low (<20), it signals consolidation — a breakout is likely to follow.
Use this with ADX and WaveTrend position to anticipate directional breakouts.
Trend by ADX
Shows whether the market is trending and in which direction.
Combined with money flow and RSI, this gives strong confirmation on breakouts.
OBV HTF Bias
Gives higher timeframe pressure (bullish/bearish/neutral).
Helps avoid taking counter-trend trades.
Pattern Labels (WT-Based)
A = Anchor Wave — WT hitting oversold
T = Trigger Wave — WT turning back up after anchor
👀 = Snake Eyes — Rare pattern, usually signaling strong reversal potential
These help in timing entries, especially when they align with other signals like BBWP breakouts, confluence, or smart money flow flips.
Multi-Timeframe (MTF) Consensus
The system checks WaveTrend on 5 different timeframes and gives:
Color-coded signals on each TF
A final score: “Mostly Up,” “Mostly Down,” or “Mixed”
When MTFs align with wave crosses, BBWP expansion, and hybrid money flow shifts, the probability of sustained move is higher.
Divergence Spotting (Advanced Tip)
Watch for:Price rising while money flow is red → Possible trap / early exit
Price dropping while money flow is green → Early accumulation
Combine this with anchor-trigger patterns and MTF trend support for spotting bottoms or tops early.
Final Tips
Use WT trigger crosses as initial signal. Confirm with money flow direction + color flip
Look at BBWP for breakout timing. Use table as your decision dashboard
Favor trades that align with MTF consensus
Sentiment Navigator｜SuperFundedSentiment Navigator — Momentum × Volatility Heatmap
What it is
Sentiment Navigator blends momentum (RSI) with volatility (ATR normalized by price) to visualize market psychology using a background heatmap and a lower oscillator.
・Background: quick read of the market’s “temperature” → Extreme Greed / Greed / Neutral / Fear / Extreme Fear.
・Oscillator: a bounded sentiment score from -100 to +100 showing bias strength and potential extremes.
Why this is not a simple mashup
Instead of showing RSI and ATR separately, this tool integrates them into a single, weighted score and a state machine:
・Context-aware weighting: When volatility is high (ATR vs its SMA baseline), the score is amplified, reflecting that momentum matters more in turbulent regimes.
・Unified states: RSI thresholds classify regimes (Greed/Fear) and are conditioned by volatility to promote Extreme states only when justified.
・Actionable cues: Reversal labels appear at the extreme levels with candle confirmation to reduce noise.
How it works (concise)
1. Momentum: RSI(len) (default 21).
2. Volatility: ATR(len)/close*100 (default ATR=14), smoothed by SMA(volSmaLen) and compared using volMultiplier.
3. Sentiment score: transform RSI to (-100..+100) via (RSI-50)*2, then amplify ×1.5 when high volatility. Finally clamp to .
4. States:
・RSI > greedLevel → Greed (upgraded to Extreme Greed if high vol)
・RSI < fearLevel → Fear (upgraded to Extreme Fear if high vol)
・else Neutral
5. Plotting:
・Oscillator (area) with 0-line and dotted extreme bands.
・Background color by state (greens for Greed, reds for Fear, gray for Neutral).
6. Signals (optional):
・Buy: crossover(score, -extremeGreedLevel) and close > open → prints ▲ at -extremeGreedLevel
・Sell: crossunder(score, extremeGreedLevel) and close < open → prints ▼ at +extremeGreedLevel
Parameters (UI mapping)
Core
・RSI Length (rsiLen)
・ATR Length (atrLen)
・Volatility SMA Length (volSmaLen)
・High-Vol Multiplier (volMultiplier)
State thresholds
・Extreme Greed (extremeGreedLevel)
・Greed (greedLevel)
・Fear (fearLevel)
・Extreme Fear (extremeFearLevel)
Display
・Show Background (showBgColor)
・Show Reversal Signals (showSignals)
Practical usage
・Regime read: Treat greens as risk-on bias, reds as risk-off, gray as indecision.
・Entries: Use ▲/▼ as triggers, not commands—wait for price action (wicks/engulfings) at structure.
・Extreme management: At Extreme states, favor mean-reversion tactics; in plain Greed/Fear with low vol, trends may persist longer.
・Tuning:
・Raise greedLevel/fearLevel to reduce signals.
・Increase volMultiplier to demand stronger vol for “Extreme” states.
Repainting & confirmation
Signals rely on cross events of the oscillator; judge on bar close for stricter rules. Background/state can change intrabar as RSI/ATR evolve.
Disclaimer
No indicator guarantees outcomes. News/liquidity can override signals. Trade responsibly with proper risk controls.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
Sentiment Navigator — クイックガイド（日本語）
概要
本インジは RSI（モメンタム） と ATR/価格（ボラティリティ） を統合し、背景のヒートマップと下部オシレーターで市場心理を可視化します。
・背景色：極度の強欲 / 強欲 / 中立 / 恐怖 / 極度の恐怖 を直感表示。
・オシレーター：-100〜+100 のスコアでバイアスの強さと過熱を示します。
独自性・新規性
・高ボラ状態ではスコアを増幅し、同じRSIでも環境次第で体感インパクトを反映。
・RSIしきい値×ボラで極端ゾーンの発生を制御し、意義のあるExtremeのみ点灯。
・反転ラベルは極端レベルのクロス＋ローソク条件で点灯し、ノイズを抑制。
仕組み（要点）
1. RSI を算出。
2. ATR/close*100 を SMA と比較し、しきい値倍率で高ボラを判定。
3. score = (RSI-50)*2 を 高ボラで×1.5、 にクランプ。
4. 状態：RSI>Greed → Greed/Extreme Greed、RSI
SEVENX|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
Rsi TrendLines with Breakouts [KoTa]### RSI TrendLines with Breakouts Indicator: Detailed User Guide
The "RSI TrendLines with Breakouts " indicator is a custom Pine Script tool designed for TradingView. It builds on the standard Relative Strength Index (RSI) by adding dynamic trendlines based on RSI pivots (highs and lows) across multiple user-defined periods. These trendlines act as support and resistance levels on the RSI chart, and the indicator detects breakouts when the RSI crosses these lines, generating potential buy (long) or sell (short) signals. It also includes overbought/oversold thresholds and optional breakout labels. Below, I'll provide a detailed explanation in English, covering how to use it, its purpose, advantages and disadvantages, example strategies, and ways to enhance strategies with other indicators.
How to Use the Indicator
- The indicator uses `max_lines_count=500` to handle a large number of lines without performance issues, but on very long charts, you may need to zoom in for clarity.
1. **Customizing Settings**:
The indicator has several input groups for flexibility. Access them via the gear icon next to the indicator's name on the chart.
- **RSI Settings**:
- RSI Length: Default 14. This is the period for calculating the RSI. Shorter lengths (e.g., 7-10) make it more sensitive to recent price changes; longer (e.g., 20+) smooth it out for trends.
- RSI Source: Default is close price. You can change to open, high, low, or other sources like volume-weighted for different assets.
- Overbought Level: Default 70. RSI above this suggests potential overbuying.
- Oversold Level: Default 30. RSI below this suggests potential overselling.
- **Trend Periods**:
- You can enable/disable up to 5 periods (defaults: Period 1=3, Period 2=5, Period 3=10, Period 4=20, Period 5=50). Only enabled periods will draw trendlines.
- Each period detects pivots (highs/lows) in RSI using `ta.pivothigh` and `ta.pivotlow`. Shorter periods (e.g., 3-10) capture short-term trends; longer ones (20-50) show medium-to-long-term momentum.
- Inline checkboxes allow you to toggle display for each (e.g., display_p3=true by default).
- **Color Settings**:
- Resistance/Support Color: Defaults to red for resistance (up-trendlines from RSI highs) and green for support (down-trendlines from RSI lows).
- Labels for breakouts use green for "B" (buy/long) and red for "S" (sell/short).
- **Breakout Settings**:
- Show Prev. Breakouts: If true, displays previous breakout labels (up to "Max Prev. Breakouts Label" +1, default 2+1=3).
- Show Breakouts: Separate toggles for each period (e.g., show_breakouts3). When enabled, dotted extension lines project the trendline forward, and crossovers/crossunders trigger labels like "B3" (breakout above resistance for Period 3) or "S3" (break below support).
- Note: Divergence detection is commented out in the code. If you want to enable it, uncomment the relevant sections (e.g., show_divergence input) and adjust the lookback (default 5 bars) for spotting bullish/bearish divergences between price and RSI.
2. **Interpreting the Visuals**:
- **RSI Plot**: A blue line showing the RSI value (0-100). Horizontal dashed lines at 70 (red, overbought), 30 (green, oversold), and 50 (gray, midline).
- **Trendlines**: Solid lines connecting recent RSI pivots. Green lines (support) connect lows; red lines (resistance) connect highs. Only the most recent line per direction is shown per period to avoid clutter.
- **Breakout Projections**: Dotted lines extend the current trendline forward. When RSI crosses above a red dotted resistance, a "B" label (e.g., "B1") appears above, indicating a potential bullish breakout. Crossing below a green dotted support shows an "S" label below, indicating bearish.
- **Labels**: Current breakouts are bright (green/red); previous ones fade to gray. Use these as signal alerts.
- **Alerts**: The code includes commented-out alert conditions (e.g., for breakouts or RSI crossing levels). Uncomment and set them up in TradingView's alert menu for notifications.
3. **Best Practices**:
- Use on RSI-compatible timeframes (e.g., 1H, 4H, daily) for stocks, forex, or crypto.
- Combine with price chart: Trendlines are on RSI, so check if RSI breakouts align with price action (e.g., breaking a price resistance).
- Test on historical data: Backtest signals using TradingView's replay feature.
- Avoid over-customization initially—start with defaults (Periods 3 and 5 enabled) to understand behavior.
What It Is Used For
This indicator is primarily used for **momentum-based trend analysis and breakout trading on the RSI oscillator**. Traditional RSI identifies overbought/oversold conditions, but this enhances it by drawing dynamic trendlines on RSI itself, treating RSI as a "price-like" chart for trend detection.
- **Key Purposes**:
- **Identifying Momentum Trends**: RSI trendlines show if momentum is strengthening (upward-sloping support) or weakening (downward-sloping resistance), even if price is ranging.
- **Spotting Breakouts**: Detects when RSI breaks its own support/resistance, signaling potential price reversals or continuations. For example, an RSI breakout above resistance in an oversold zone might indicate a bullish price reversal.
- **Multi-Period Analysis**: By using multiple pivot periods, it acts like a multi-timeframe tool within RSI, helping confirm short-term signals with longer-term trends.
- **Signal Generation**: Breakout labels provide entry/exit points, especially in trending markets. It's useful for swing trading, scalping, or confirming trends in larger strategies.
- **Divergence (Optional)**: If enabled, it highlights mismatches between price highs/lows and RSI, which can predict reversals (e.g., bullish divergence: price lower low, RSI higher low).
Overall, it's ideal for traders who rely on oscillators but want more visual structure, like trendline traders applying price concepts to RSI.
Advantages and Disadvantages
**Advantages**:
- **Visual Clarity**: Trendlines make RSI easier to interpret than raw numbers, helping spot support/resistance in momentum without manual drawing.
- **Multi-Period Flexibility**: Multiple periods allow analyzing short- and long-term momentum simultaneously, reducing noise from single-period RSI.
- **Breakout Signals**: Automated detection of breakouts provides timely alerts, with labels and projections for proactive trading. This can improve entry timing in volatile markets.
- **Customization**: Extensive inputs (periods, colors, breakouts) make it adaptable to different assets/timeframes. The stateful management of lines/labels prevents chart clutter.
- **Complementary to Price Action**: Enhances standard RSI by adding trend context, useful for confirming divergences or overbought/oversold trades.
- **Efficiency**: Uses efficient arrays and line management, supporting up to 500 lines for long charts without lagging TradingView.
**Disadvantages**:
- **Lagging Nature**: Based on historical pivots, signals may lag in fast-moving markets, leading to late entries. Shorter periods help but increase whipsaws.
- **False Signals**: In ranging or sideways markets, RSI trendlines can produce frequent false breakouts. It performs better in trending conditions but may underperform without filters.
- **Over-Reliance on RSI**: Ignores volume, fundamentals, or price structure—breakouts might not translate to price moves if momentum decouples from price.
- **Complexity for Beginners**: Multiple periods and settings can overwhelm new users; misconfiguration (e.g., too many periods) leads to noisy charts.
- **No Built-in Risk Management**: Signals lack stop-loss/take-profit logic; users must add these manually.
- **Divergence Limitations**: The basic (commented) divergence detection is simplistic and may miss hidden divergences or require tuning.
In summary, it's powerful for momentum traders but should be used with confirmation tools to mitigate false positives.
Example Strategies
Here are one LONG (buy) and one SHORT (sell) strategy example using the indicator. These are basic; always backtest and use risk management (e.g., 1-2% risk per trade, stop-loss at recent lows/highs).
**LONG Strategy Example: Oversold RSI Support Breakout**
- **Setup**: Use on a daily chart for stocks or crypto. Enable Periods 3 and 5 (short- and medium-term). Set oversold level to 30.
- **Entry**: Wait for RSI to be in oversold (<30). Look for a "B" breakout label (e.g., "B3" or "B5") when RSI crosses above a red resistance trendline projection. Confirm with price forming a higher low or candlestick reversal (e.g., hammer).
- **Stop-Loss**: Place below the recent price low or the RSI support level equivalent in price terms (e.g., 5-10% below entry).
- **Take-Profit**: Target RSI reaching overbought (70) or a 2:1 risk-reward ratio. Exit on a bearish RSI crossunder midline (50).
- **Example Scenario**: In a downtrending stock, RSI hits 25 and forms a support trendline. On a "B5" breakout, enter long. This captures momentum reversals after overselling.
- **Rationale**: Breakout above RSI resistance in oversold signals fading selling pressure, potential for price uptrend.
**SHORT Strategy Example: Overbought RSI Resistance Breakout**
- **Setup**: Use on a 4H chart for forex pairs. Enable Periods 10 and 20. Set overbought level to 70.
- **Entry**: Wait for RSI in overbought (>70). Enter on an "S" breakout label (e.g., "S3" or "S4") when RSI crosses below a green support trendline projection. Confirm with price showing a lower high or bearish candlestick (e.g., shooting star).
- **Stop-Loss**: Above the recent price high or RSI resistance level (e.g., 5-10% above entry).
- **Take-Profit**: Target RSI hitting oversold (30) or a 2:1 risk-reward. Exit on bullish RSI crossover midline (50).
- **Example Scenario**: In an uptrending pair, RSI peaks at 75 with a resistance trendline. On "S4" breakout, enter short. This targets momentum exhaustion after overbuying.
- **Rationale**: Break below RSI support in overbought indicates weakening buying momentum, likely price downturn.
Enhancing Strategy Validity with Other Indicators
To increase the reliability of strategies based on this indicator, combine it with complementary tools for confirmation, filtering false signals, and adding context. This creates multi-indicator strategies that reduce whipsaws and improve win rates. Focus on indicators that address RSI's weaknesses (e.g., lagging, momentum-only). Below are examples of different indicators, how to integrate them, and sample strategies.
1. **Moving Averages (e.g., SMA/EMA)**:
- **How to Use**: Overlay 50/200-period EMAs on the price chart. Use RSI breakouts only in the direction of the trend (e.g., long only if price > 200 EMA).
- **Strategy Example**: Trend-Following Long – Enter on "B" RSI breakout if price is above 200 EMA and RSI > 50. This filters reversals in uptrends. Add MACD crossover for entry timing. Advantage: Aligns momentum with price trend, reducing counter-trend trades.
2. **Volume Indicators (e.g., Volume Oscillator or OBV)**:
- **How to Use**: Require increasing volume on RSI breakouts (e.g., OBV making higher highs on bullish breakouts).
- **Strategy Example**: Volume-Confirmed Short – On "S" breakout, check if volume is rising and OBV breaks its own trendline downward. Enter short only if confirmed. This validates breakouts with real market participation, avoiding low-volume traps.
3. **Other Oscillators (e.g., MACD or Stochastic)**:
- **How to Use**: Use for divergence confirmation or overbought/oversold alignment. For instance, require Stochastic (14,3,3) to also breakout from its levels.
- **Strategy Example**: Dual-Oscillator Reversal Long – Enable divergence in the indicator. Enter on bullish RSI divergence + "B" breakout if MACD histogram flips positive. Exit on MACD bearish crossover. This strengthens reversal signals by cross-verifying momentum.
4. **Price Action Tools (e.g., Support/Resistance or Candlestick Patterns)**:
- **How to Use**: Map RSI trendlines to price levels (e.g., if RSI resistance breaks, check if price breaks a key resistance).
- **Strategy Example**: Price-Aligned Breakout Short – On "S" RSI breakout in overbought, confirm with price breaking below a drawn support line or forming a bearish engulfing candle. Use Fibonacci retracements for targets. This ensures momentum translates to price movement.
5. **Volatility Indicators (e.g., Bollinger Bands or ATR)**:
- **How to Use**: Avoid trades during low volatility (e.g., Bollinger Band squeeze) to filter ranging markets. Use ATR for dynamic stops.
- **Strategy Example**: Volatility-Filtered Long – Enter "B" breakout only if Bollinger Bands are expanding (increasing volatility) and RSI is oversold. Set stop-loss at 1.5x ATR below entry. This targets high-momentum breakouts while skipping choppy periods.
**General Tips for Building Enhanced Strategies**:
- **Layering**: Start with RSI breakout as the primary signal, add 1-2 confirmations (e.g., EMA trend + volume).
- **Backtesting**: Use TradingView's strategy tester to quantify win rates with/without additions.
- **Risk Filters**: Incorporate overall market sentiment (e.g., via VIX) or avoid trading near news events.
- **Timeframe Alignment**: Use higher timeframes for trend (e.g., daily EMA) and lower for entries (e.g., 1H RSI breakout).
- **Avoid Overloading**: Too many indicators cause paralysis; aim for synergy (e.g., trend + momentum + volume).
This indicator is a versatile tool, but success depends on context and discipline. If you need code modifications or specific backtests, provide more details!
Relative Strength Index with buy sell strategy📈 RSI Scalping Strategy (95% Winning Trades)
1️⃣ The Principle
In scalping, timing is everything.
We use one powerful indicator: RSI on the 1-minute chart (M1) ⏱️
2️⃣ RSI Zones Setup
🔼 Overbought (Sell)
Base line → 70
Add extra levels → 75 – 80 – 85
🔽 Oversold (Buy)
Base line → 30
Add extra levels → 25 – 20 – 15
👉 These levels act as progressive entry signals using the DCA (Dollar Cost Averaging) method.
3️⃣ Concrete Example (on XAUUSD / Gold 🌟)
Price hits RSI 25 → Enter with 0.1 lot
RSI drops to 20 → Add 0.2 lot
RSI falls to 15 → Add 0.5 lot
⚡️ Why does this work?
Because at these extremes, the market is overheated and almost always makes a quick correction.
4️⃣ Exiting the Trade (Take Profit)
🎯 Target: Close between RSI 40 – 45
❌ Never wait beyond RSI 50
✅ Summary:
Only enter at RSI extreme zones 🔫
Use progressive entries (DCA) ✔️
Exit when RSI reverts to the middle zone 💰
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price.
Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability.
Plus ADX-on-RSI to grade strength so you know when momentum persists or fades.
1. Introduction
RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions.
To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside.
2. Core Mapping (Hook + Bullets)
At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator.
Source: RSI(14)
Tenkan → EMA9(RSI) (fast, responsive)
Kijun → WMA45(RSI) (slow, stable)
Span A: classic Ichimoku midline, displaced +26
Span B: classic Ichimoku baseline, displaced +26
Lagging line: RSI shifted −26
3. Key Benefits (Why traders care)
Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance.
Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips.
Earlier warnings: Cloud breaks on RSI often lead price-based confirmations.
4. ADX on RSI (Enhanced Strength Normalization)
Grade strength inside the RSI domain using ADX from ΔRSI:
ADX ≤ 20 → Weak (transparency = 60)
ADX ≤ 40 → Strong (transparency = 15)
ADX > 40 → Very strong (transparency = 0)
Use these tiers to decide when to trust, fade, or ignore a signal.
5. How to Read (Quick rules)
Bias / Regime
Bullish: RSI above Cloud and RSI > WMA45
Bearish: RSI below Cloud and RSI < WMA45
Neutral / Transition: all other cases
6. Settings (Copy & use)
RSI Length: 14 (default)
Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI
Displacement: +26 (Span A/B) · −26 (Lagging)
Theme: PriceBlance Dark/Light
Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring)
7. Credits & License
Author/Brand: PriceBlance
Version: v1.0 (Free)
Watermark: PriceBlance • RSI Cloud v1.0
Disclaimer: Educational content; not financial advice.
8. CTA
If this helps, please ⭐ Star and Follow for updates & new tools.
Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
CM Visual – Two-Pole Normalized Osc + RSI + CHOPThis script is being tested for a two-pole oscillator with RSI and CHOP filters. If you're interested in Beta testing, please email austinlowens@gmail.com
RSI Prior DayLagged RSI indicator showing the prior day's RSI(14) value for easy divergence detection. Plot it alongside current RSI to spot bullish/bearish signals. Ideal for swing traders scanning for momentum shifts.
RSI Trendlines and Divergences█OVERVIEW
The "RSI Trendlines and Divergences" indicator is an advanced technical analysis tool that leverages the Relative Strength Index (RSI) to draw trendlines and detect divergences. Designed for traders seeking precise market signals, the indicator identifies key pivot points on the RSI chart, draws trendlines between pivots, and detects bullish and bearish divergences. It offers flexible settings, background coloring for breakout signals, and divergence labels, supported by alerts for key events. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes.
█CONCEPTS
The indicator was developed to provide an alternative signal source for the RSI oscillator. Trendline breakouts and bounces off trendlines offer a broader perspective on potential price behavior. Combining these with traditional RSI signal interpretation can serve as a foundation for creating various trading strategies.
█FEATURES
- RSI and Pivot Calculation: Calculates RSI based on the selected source price (default: close) with a customizable period (default: 14). Identifies pivot points on RSI and price for trendlines and divergences.
- RSI Trendlines: Draws trendlines connecting RSI pivots (upper for downtrends, lower for uptrends) with optional extension (default: 30 bars). The trendline appears and generates a signal only after the first RSI crossover. Lines are colored (red for upper, green for lower).
- Trendline Fill: Widens the trendline with a tolerance margin expressed in RSI points, reducing signal noise and visually highlighting trend zones. Breaking this zone is a condition for generating signals, minimizing false signals. The tolerance margin can be increased or decreased.
- Divergence Detection: Identifies bullish and bearish divergences based on RSI and price pivots, displaying labels (“Bull” for bullish, “Bear” for bearish) with adjustable transparency. Divergence labels appear with a delay equal to the specified pivot length (default: 5). Higher values yield stronger signals but with greater delay.
- Breakout Signals: Generates signals when RSI crosses the trendline (bullish for upper lines, bearish for lower lines), with background coloring for signal confirmation.
- Alerts: Built-in alerts for:
Detection of bullish and bearish divergences.
Upper trendline crossover (bullish signal).
Lower trendline crossover (bearish signal).
- Customization: Allows adjustment of RSI length, pivot settings, line colors, fills, labels, and transparency of signals and background.
█HOW TO USE
Add the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configuring Settings.
RSI Settings
- RSI Length: Period for RSI calculation (default: 14).
- SMA Length: Period for RSI moving average (default: 9).
- Source: Source price for RSI (default: close).
Pivot Settings for Trend
- Left Bars for Pivot: Number of bars back for detecting pivots (default: 10).
- Right Bars for Pivot: Number of bars forward for confirming pivots (default: 10).
- Extension after Second Pivot: Number of bars to extend the trendline (default: 30, 0 = none). Extension increases the number of signals, while shortening reduces them.
- Tolerance: Deviation in RSI points to widen the breakout margin, reducing signal noise (default: 3.0).
Divergence Settings
- Enable Divergence Detection: Enables/disables divergence detection (default: enabled).
- Pivot Length for Divergence: Pivot period for divergences (default: 5).
Style Settings
- Upper Trendline Color: Color for downtrend lines (default: red).
- Upper Fill Color: Fill color for upper lines (default: red, transparency 70).
- Lower Trendline Color: Color for uptrend lines (default: green).
- Lower Fill Color: Fill color for lower lines (default: green, transparency 70).
- SMA Color: Color for RSI moving average (default: yellow).
- Bullish Divergence Color: Color for bullish labels (default: green).
- Bearish Divergence Color: Color for bearish labels (default: red).
- Text Color: Color for label text (default: white).
- Divergence Label Transparency: Transparency of labels (0-100, default: 40).
- Signal Background Transparency: Transparency of breakout signal background (0-100, default: 80).
Interpreting Signals
- Trendlines: Upper lines (red) indicate RSI downtrends, lower lines (green) indicate uptrends. The trendline appears and generates a signal only after the first RSI crossover. Trendline breakouts suggest potential trend reversals.
- Divergences: “Bull” labels indicate bullish divergence (potential rise), “Bear” labels indicate bearish divergence (potential decline), with a delay based on pivot length (default: 5). Divergences serve as confirmation or warning of trend reversal, not as standalone signals.
- Signal Background: Green background signals bullish breakouts, red background signals bearish breakouts.
- RSI Levels: Horizontal lines at 70 (overbought), 50 (midline), and 30 (oversold) help assess market zones.
- Alerts: Set up alerts in TradingView for divergences or trendline breakouts.
Combining with Other Tools: Use with support/resistance levels, Fibonacci levels, or other indicators for signal confirmation.
█APPLICATIONS
The "RSI Trendlines and Divergence" indicator is designed to identify trends and potential reversal points, supporting both trend-following and reversal strategies:
- Trend Confirmation: Trendlines indicate the RSI trend direction, with breakouts signaling potential reversals. The indicator is functional in traditional RSI usage, allowing classic RSI interpretation (e.g., returning from overbought/oversold zones). Combining trendline breakouts with RSI signal levels, such as a return from overbought or oversold zones paired with a trendline breakout, strengthens the signal.
- Divergence Detection: Divergences serve as confirmation or warning of trend reversal, not as standalone signals.
█NOTES
- Adjust settings (e.g., RSI length, pivots, tolerance) to suit your trading style and timeframe.
- Combine with other technical analysis tools to enhance signal accuracy.
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ)
The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations.
What it is?
EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles.
Purpose and originality (not a mashup)
Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols.
Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators.
Why a trader might use EPZ
EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to:
Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening.
Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds.
Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ.
Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction.
Components and how they're combined
Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume).
Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score.
Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles.
Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes.
Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts
Context-aware weighting:
Higher volatility → more PRV weight
Trendiness up (RSI of ATR > 25) → more MCD weight
Relative volume > 1.2x → more PDI weight
SMF holds a stable weight
The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline.
What makes EPZ stand out
Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds.
Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too.
Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion.
Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead.
Recommended markets and timeframes
Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH).
Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes).
Use caution on illiquid or very low TFs where wick/volume geometry is erratic.
Logic and thresholds
MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish.
Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35).
Adaptive thresholds (optional):
thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity)
thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity)
Extreme detection
High: MPO ≥ thrHigh with peak/slope or crossover filter.
Low: MPO ≤ thrLow with trough/slope or crossover filter.
Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone.
Confirmation
"Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting).
Divergences
Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot).
MTF
HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected.
Inputs and defaults (key ones)
Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF.
Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny.
Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON.
Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart.
Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60.
Dashboard: what each element means
Header: EPZ ANALYSIS.
Large readout: Current MPO; color reflects state (extreme, approaching, or neutral).
Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish".
HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close.
Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only.
Thresholds: Current thrHigh/thrLow (static or adaptive).
Components: ASCII bars + values for PRV, MCD, PDI, SMF.
Market metrics: Volume Ratio (x) and ATR% of price.
Strength: Bar indicator of |MPO − 50| × 2.
Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability.
How to read the oscillator
MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure".
Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup.
Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart.
Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting.
Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes.
Zones: Warning bands near extremes; Extreme zones beyond thresholds.
Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure.
Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown.
Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON.
Histogram: Distance from neutral (50); highlights strengthening or weakening pressure.
Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low.
Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning.
A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure.
Alerts
EPZ: Extreme Context — fires on confirmed extremes (respects cooldown).
EPZ: Approaching Threshold — fires in warning zones if no extreme.
EPZ: Divergence — fires on confirmed pivot divergences.
Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint.
Practical usage ideas
Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes.
Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits.
Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels.
MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise.
Examples
Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims.
Example 1 — BTCUSDT, 1h — E Low
MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only.
Example 2 — ETHUSD, 30m — E High
A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only.
Known limitations and caveats
The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON.
HTF values settle at the close of the HTF bar.
Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing.
Prediction line (when enabled) is a visual extrapolation only.
For coders
Pine v6. MTF via request.security with lookahead_off.
Extremes include crossover triggers so static thresholds also yield E High/E Low.
Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON.
Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs.
3D layering uses negative offsets purely for drawing depth (no lookahead).
Screenshot methodology:
To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
Enhanced Std Dev Oscillator (Z-Score)Enhanced Std Dev Oscillator (Z-Score)
Overview
The Enhanced Std Dev Oscillator (ESDO) is a refined Z-Score indicator that normalizes price deviations from a moving mean using standard deviation, smoothed for clarity and equipped with divergence detection. This oscillator shines in identifying extreme overbought/oversold conditions and potential reversals, making it ideal for mean-reversion strategies in stocks, forex, or crypto. By highlighting when prices stray too far from the norm, it helps traders avoid chasing trends and focus on high-probability pullbacks.
Key Features
Customisable Mean & Deviation: Choose SMA or EMA for the mean (default: SMA, length 14); opt for Population or Sample standard deviation for precise statistical accuracy.
Smoothing for Clarity: Apply a simple moving average (default: 3) to the raw Z-Score, reducing noise without lagging signals excessively.
Zone Highlighting: Background colours flag extreme zones—red tint above +2 (overbought), green below -2 (oversold)—for quick visual scans.
Divergence Alerts: Automatically detects bullish (price lows lower, Z-Score higher) and bearish (price highs higher, Z-Score lower) divergences using pivot points (default length: 5), with labeled shapes for easy spotting.
Built-in Alerts: Notifications for Z-Score crossovers into OB/OS zones and divergence events to keep you informed without constant monitoring.
How It Works
Core Calculation: Computes the mean (SMA/EMA) over the specified length, then standard deviation (Population or adjusted Sample formula for N>1). Z-Score = (Source - Mean) / Std Dev, handling edge cases like zero deviation.
Smoothing: Averages the Z-Score with an SMA to create a cleaner plot oscillating around zero.
Levels & Zones: Plots horizontal lines at ±1 (orange dotted) and ±2 (red dashed) for reference; backgrounds activate in extreme zones.
Divergence Logic: Scans for pivot highs/lows in price and Z-Score; flags divergences when price extremes diverge from oscillator extremes (looking back 2 pivots for confirmation).
Visualisation: Blue line for the smoothed Z-Score; green/red labels for bull/bear divergences.
Usage Tips
Buy Signal: Z-Score crosses below -2 (oversold) or bullish divergence forms—pair with volume spike for confirmation.
Sell Signal: Z-Score crosses above +2 (overbought) or bearish divergence—watch for resistance alignment.
Customisation: Use EMA mean for trendier assets; enable Sample std dev for smaller datasets. Increase pivot length (7-10) in volatile markets to filter false signals.
Timeframes: Excels on daily/4H for swing trades; test smoothing on lower frames to avoid over-smoothing. Always combine with trend filters like a 200-period MA.
This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Trade with discipline! 📈
© HighlanderOne
Advanced Directional Stoch RSIAdvanced Directional Stochastic RSI
Overview
The Advanced Directional Stochastic RSI (Adv Stoch RSI Dir) is a powerful oscillator that combines the classic Stochastic RSI with John Ehlers' SuperSmoother filter for ultra-smooth signals and reduced noise. Unlike traditional Stoch RSI, this indicator incorporates directional coloring based on price action relative to a smoothed trend line, helping traders quickly spot bullish or bearish momentum. It's designed for swing traders and scalpers looking for clearer overbought/oversold conditions in volatile markets.
Key Features
Directional Coloring: %K line turns green when price is above the trend MA (bullish) and red when below (bearish), providing instant visual bias.
Multi-Pass SuperSmoothing: Apply Ehlers' SuperSmoother filter up to 5 times for customizable noise reduction—dial in passes (default: 2) to balance responsiveness and smoothness.
Trend-Aware Baseline: Uses a cascaded smoothed moving average (default length: 20) to gauge overall direction, making the oscillator more context-aware.
Classic Stoch RSI Core: Built on RSI (default: 14) and Stochastic (default: 14), with SMA smoothing for %K (3) and %D (3).
Visual Aids: Includes overbought (80), oversold (20), and midline (50) levels, plus a subtle blue fill between OB/OS zones for easy reference.
How It Works
Source Smoothing: The input source (default: close) is passed through the SuperSmoother filter multiple times to create a trend MA.
Stoch RSI Calculation: Computes RSI on the source, then applies Stochastic to the RSI values, followed by SMA smoothing for base %K and %D.
Advanced Smoothing: Extra SuperSmoother layers are applied to %K and %D based on your chosen passes, minimizing whipsaws.
Directional Logic: Compares current close to the trend MA to color %K dynamically.
Plotting: %K (thick line, colored) and %D (thin orange) oscillate between 0-100, highlighting crossovers and divergences.
Usage Tips
Buy Signal: Green %K crosses above %D below 50, or bounces off oversold (20) in uptrends.
Sell Signal: Red %K crosses below %D above 50, or rejects overbought (80) in downtrends.
Customization: Increase smoothing passes (3-5) for choppy markets; reduce for faster signals. Pair with volume or support/resistance for confirmation.
Timeframes: Best on 1H-4H charts for stocks/crypto; adjust lengths for forex.
This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Enjoy trading smarter with less noise! 🚀
© HighlanderOne
Actually Engulfing CandlesticksThis thing attempts to find price reversals with actually engulfing candlesticks with volume spikes and RSI values as confirmation. It works well on mean reverting assets I guess.
Green dots below bars = bullish reversal
Fuchsia dots above bars = bearish reversal
Have fun!
Stoch + RSI DashboardIndicator Description
MTF Stochastic + RSI Dashboard FLEX with STRONG Alerts
A compact, multi-timeframe dashboard that shows Stochastic %K/%D, RSI and signal states across user-defined timeframes. Columns can be toggled on/off to keep the panel as small as you need. Signal texts and colors are fully customizable. The table can be placed in any chart corner, and the background color & opacity are adjustable for perfect readability.
What it shows
• For each selected timeframe: %K, %D, a signal cell (Bullish/Bearish/Strong), RSI value, and RSI state (Overbought/Oversold/Neutral).
• Timeframes are displayed as friendly labels (e.g., 60 → 1h, W → 1w, 3D → 3d).
Signals & logic
• Bullish/Bearish when %K and %D show a sufficient gap (or an optional confirmed cross).
• Strong Bullish when both %K and %D are below the “Strong Bullish max” threshold.
• Strong Bearish when both %K and %D are above the “Strong Bearish min” threshold.
• Optional confirmation: RSI < 30 for Strong Bullish, RSI > 70 for Strong Bearish.
Alerts
• Global alerts for any selected timeframes when a STRONG BULLISH or STRONG BEARISH event occurs.
Key options
• Column visibility toggles (TF, %K, %D, Signal, RSI, RSI Status).
• Custom signal texts & colors.
• Dashboard position: top-left / top-right / bottom-left / bottom-right.
• Table background color + opacity (0 = opaque, 100 = fully transparent).
• Sensitivity (minimum %K–%D gap) and optional “cross-only” mode.
• Customizable timeframes for display and for alerts.
Default settings
• Stochastic: K=5, D=3, SmoothK=3
• RSI length: 14
• Decimals: 1
• Strong Bullish max: 20
• Strong Bearish min: 80
• Default TFs & alerts: 3m, 15m, 1h, 3h, 6h, 12h, 1d, 3d, 1w
Synthetic Implied APROverview
The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate.
The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized.
What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity.
How it calculates
The synthetic implied APR is calculated with these steps:
Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator)
Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits)
Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365)
Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding)
premium_component = (prem_avg / 50 ) * 365
weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3)
impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength))
How to use it: Generally
Preface: Funding rates are an indication of market sentiment
If funding is positive, generally the market is bullish as longs are willing to pay shorts funding
If funding is negative, generally the market is bearish as shorts are willing to pay longs funding
So, this script can be used like a typical oscillator:
Bullish: If implied APR > MA OR if implied APR MA is green
Bearish: If implied APR < MA OR if implied APR MA is red
The components:
Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility
Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading
Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA)
How to use it: Trading Funding
When trading funding there're multiple ways to use it with different settings
Trade funding rates with trend changes
Settings: Weight = 1
Method 1: When the implied APR MA turns green, long funding rates (or short if red)
Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below)
Trade funding rates with MA pullbacks
Settings: Weight = 0.7, timeframe 15m
In an uptrend: When implied APR crosses below then above the script, long funding opportunity
In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity
You can determine the trend with the method before, using a weight of 1
To trade funding rates, it's best to have these 3 scripts at these settings:
Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures)
Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change)
Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility
How to use it: Trading Futures
When trading futures:
You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods
To prevent whipsaws, weight should remain high
Long trend: When the implied APR MA turns green OR when it crosses above its MA
Short trend: When the implied APR MA turns red OR when it below above its MA
Why it's original
This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense.
Notes
Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour
The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best
Only works for coins that have a Binance premium index
Inputs
Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance
Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value
Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility
Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods
Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother
Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals
MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics
MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise
Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator
Bullish Color - Sets the color for positive values in the table and rising MA line
Bearish Color - Sets the color for negative values in the table and falling MA line
Table Background - Customizes the background color and transparency of the information dashboard
Table Text Color - Sets the color for label text in the left column of the information table
Table Text Size - Controls the font size of table text with options from Tiny to Huge
Normalized WMA Oscillator | OquantNormalized WMA Oscillator | Oquant
The Normalized WMA Oscillator is a trend-momentum indicator designed to help traders visualize the relative position of a Weighted Moving Average (WMA) within its recent price range.
What is a WMA and How It Works:
A Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent price data, making it more responsive to price changes compared to a simple moving average. Each price point in the lookback period is multiplied by a weighting factor, with the most recent prices having the highest weights. The WMA helps traders identify potential trends more quickly.
This indicator applies min-max normalization to the standard WMA, scaling its values between 0 and 1 over a configurable lookback period. This allows traders to see whether the WMA is near its recent highs, lows, or midpoint, regardless of the absolute price level.
Key Features:
WMA Source Input: Choose price source for wma calculation.
Customizable WMA Length: Adjust the sensitivity of the WMA.
Min-Max Normalization Length: Smooth the scaling of WMA values between 0 and 1.
Signal Thresholds: Configurable upper and lower thresholds to indicate potential entries.
Visual Alerts: Color-coded oscillator and candles plot for bullish (green) and bearish (purple) signals.
Alerts Ready: Built-in alert conditions for crossovers and crossunders of the oscillator.
How It Works:
Calculate the WMA on the selected source.
Normalize its value using the minimum and maximum WMA values over the specified lookback period.
Generate long signals when the normalized WMA moves above the upper threshold, and short signals when it moves below the lower threshold.
Plot the oscillator and candles in green for bullish signals and purple for bearish signals.
Inputs:
Source: Data used for WMA calculation.
WMA Length: Period for Weighted Moving Average.
Min-Max Length: Lookback period for min-max scaling.
Upper Threshold: Level above which a long signal is considered.
Lower Threshold: Level below which a short signal is considered.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System
Version: PineScript™v6
📌Description
The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions.
🚀Points of Innovation
• Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network)
• Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold
• Dynamic Risk Management - ATR-based stop loss and max drawdown protection
• Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting
• Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance
• Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes
🔧Core Components
• ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs
• Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation
• Risk Management Module - Dynamic position sizing and drawdown protection
• Performance Dashboard - Real-time metrics and risk status monitoring
• Alert System - Comprehensive alert conditions for entries, exits, and risk events
🔥Key Features
• High-confidence ML signals with customizable confidence thresholds
• Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles
• Integrated stop loss and risk management with ATR-based calculations
• Real-time performance metrics including win rate and Sharpe ratio
• Comprehensive alert system with entry, exit, and risk management notifications
• Visual confidence bands and threshold indicators for easy signal interpretation
🎨Visualization
• ML Signal Line - Primary signal output ranging from -1 to +1
• Confidence Bands - Visual representation of model confidence levels
• Threshold Lines - Customizable buy/sell threshold levels
• Position Histogram - Current market position visualization
• Performance Tables - Real-time metrics display in customizable positions
📖Usage Guidelines
Model Configuration
• Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals
• Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity
• Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference
• Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries
Risk Management
• Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade
• Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown
• Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples
• Dynamic Sizing: Default true - Volatility-based position adjustment
Display Settings
• Show Signals: Default true - Display entry/exit signals
• Show Threshold Signals: Default true - Display ±0.6 threshold crosses
• Show Confidence Bands: Default true - Display ML confidence levels
• Performance Dashboard: Default true - Show metrics table
✅Best Use Cases
• Swing trading with 1-5 day holding periods
• Trend-following strategies in established trends
• Volatility breakout trading during high-confidence periods
• Risk-adjusted position sizing for portfolio management
• Multi-timeframe confirmation for existing strategies
⚠️Limitations
• Requires sufficient historical data for accurate ML predictions
• May experience low confidence periods in choppy markets
• Performance varies across different asset classes and timeframes
• Not suitable for very short-term scalping strategies
• Requires understanding of basic risk management principles
💡What Makes This Unique
• True machine learning ensemble with multiple model types
• Confidence-based trading rather than simple signal generation
• Integrated risk management with dynamic position sizing
• Real-time performance tracking and metrics
• Adaptive parameters that adjust to market conditions
🔬How It Works
Feature Calculation: Computes 20+ technical features from price/volume data
Feature Normalization: Applies custom normalization for ML compatibility
Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs
Signal Generation: Produces confidence-weighted trading signals
Risk Management: Applies position sizing and stop loss rules
Execution: Generates alerts and visual signals based on thresholds
💡Note:
This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style
📈 Overview
This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?"
Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark.
✨ Key Features
Three Calculation Modes:
Quarterly: 3-month relative performance for swing trading
Yearly: Weighted 4-quarter performance for position trading
TechRank: Composite of 6 technical indicators for multi-factor analysis
Clean Visual Design:
Green fills above 80 (strong outperformance)
Red fills below 20 (significant underperformance)
Dotted median line at 50 for quick reference
Current value label for instant reading
Flexible Benchmarks:
Compare against major indices (SPY, QQQ, IWM)
Sector ETFs for within-sector analysis
Custom symbols for specialized comparisons
Built-in Alerts:
Strong performance zone entry (>80)
Weak performance zone entry (<20)
Median crossovers (50 level)
📊 How To Use
Buy Signals:
RP crosses above 80: Stock entering leadership status
RP holding above 60: Maintaining relative strength
RP rising while price consolidating: Accumulation phase
Sell/Avoid Signals:
RP drops below 50: Losing relative strength
RP below 20: Significant underperformance
RP falling while price rising: Bearish divergence
Sector Rotation:
Compare multiple assets to find strongest sectors
Rotate into high RP assets (>70)
Exit low RP positions (<30)
🎯 Reading The Values
80-100: Exceptional outperformance - Strong buy/hold
60-80: Moderate outperformance - Hold positions
40-60: Market perform - No edge
20-40: Underperformance - Caution/reduce
0-20: Severe underperformance - Avoid/exit
⚙️ Calculation Method
Calculates percentage performance of both your stock and the benchmark
Finds the performance differential
Ranks this differential against historical values using percentile analysis
Normalizes to 0-100 scale for easy interpretation
This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets.
💡 Pro Tips
For Growth Stocks: Use quarterly mode with QQQ as benchmark
For Value Stocks: Use yearly mode with SPY as benchmark
For Small Caps: Compare against IWM, not SPY
For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.)
Combine with Price Action: High RP + price breakout = powerful signal
⚠️ Important Notes
RP is relative, not absolute - stocks can fall with high RP if the market falls harder
Choose appropriate benchmarks for meaningful comparisons
Best used in conjunction with price action and volume analysis
Historical lookback period affects sensitivity (adjustable in settings)
🔧 Customization
Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe.
📌 Credit
Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization.
Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator
Category: Momentum Indicators / Trend Analysis
Feel free to modify this description to match your style or add any specific points you want to emphasize!
Predicted Funding RatesOverview
The Predicted Funding Rates indicator calculates real-time funding rate estimates for perpetual futures contracts on Binance. It uses triangular weighting algorithms on multiple different timeframes to ensure an accurate prediction.
Funding rates are periodic payments between long and short position holders in perpetual futures markets
If positive, longs pay shorts (usually bullish)
If negative, shorts pay longs (usually bearish)
This is a prediction. Actual funding rates depend on the instantaneous premium index, derived from bid/ask impacts of futures. So whilst it may imitate it similarly, it won't be completely accurate.
This only applies currently to Binance funding rates, as HyperLiquid premium data isn't available. Other Exchanges may be added if their premium data is uploaded.
Methods
Method 1: Collects premium 1-minunute data using triangular weighing over 8 hours. This granular method fills in predicted funding for 4h and less recent data
Method 2: Multi-time frame approach. Daily uses 1 hour data in the calculation, 4h + timeframes use 15M data. This dynamic method fills in higher timeframes and parts where there's unavailable premium data on the 1min.
How it works
1) Premium data is collected across multiple timeframes (depending on the timeframe)
2) Triangular weighing is applied to emphasize recent data points linearly
Tri_Weighing = (data *1 + data *2 + data *3 + data *4) / (1+2+3+4)
3) Finally, the funding rate is calculated
FundingRate = Premium + clamp(interest rate - Premium, -0.05, 0.05)
where the interest rate is 0.01% as per Binance
Triangular weighting is calculated on collected premium data, where recent data receives progressively higher weight (1, 2, 3, 4...). This linear weighting scheme provides responsiveness to recent market conditions while maintaining stability, similar to an exponential moving average but with predictable, linear characteristics
A visual representation:
Data points: ──────────────>
Weights: 1 2 3 4 5
Importance: ▂ ▃ ▅ ▆ █
How to use it
For futures traders:
If funding is trending up, the market can be interpreted as being in a bull market
If trending down, the market can be interpreted as being in a bear market
Even used simply, it allows you to gauge roughly how well the market is performing per funding. It can basically be gauged as a sentiment indicator too
For funding rate traders:
If funding is up, it can indicate a long on implied APR values
If funding is down, it can indicate a short on implied APR values
It also includes an underlying APR, which is the annualized funding rate. For Binance, it is current funding * (24/8) * 365
For Position Traders: Monitor predicted funding rates before entering large positions. Extremely high positive rates (>0.05% for 8-hour periods) suggest overleveraged longs and potential reversal risk. Conversely, extreme negative rates indicate shorts dominance
Table:
Funding rate: Gives the predicted funding rate as a percentage
Current premium: Displays the current premium (difference between perpetual futures price and the underlying spot) as a percentage
Funding period: You can choose between 1 hour funding (HyperLiquid usually) and 8 hour funding (Binance)
APR: Underlying annualized funding rate
What makes it original
Whilst some predicted funding scripts exist, some aren't as accurate or have gaps in data. And seeing as funding values are generally missing from TV tickers, this gives traders accessibility to the script when they would have to use other platforms
Notes
Currently only compatible with symbols that have Binance USDT premium indices
Optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off
Actual funding rates may differ
Inputs
Funding Period: Choose between "8 Hour" (standard Binance cycle) or "1 Hour" (divides the 8-hour rate by 8 for granular comparison)
Plot Type: Display as "Funding Rate" (percentage per interval) or "APR" (annualized rate calculated as 8-hour rate × 3 × 365)
Table: Toggle the information table showing current funding rate, premium, funding period, and APR in the top-right corner
Positive Colour: Sets the colour for positive funding rates where longs pay shorts (default: #00ffbb turquoise)
Negative Colour: Sets the colour for negative funding rates where shorts pay longs (default: red)
Table Background: Controls the background colour and transparency of the information table (default: transparent dark blue)
Table Text Colour: Sets the colour for all text labels in the information table (default: white)
Table Text Size: Controls font size with options from Tiny to Huge, with Small as the default balance of readability and space
