Air Gap Value for ScreenerAir Gap Value for Screener on 4 hours time frame which screen stock that have potential gap
Moving Averages
Long Only - Double EMA + SessionOverview
This is a high-probability Long-Only trend-following strategy designed primarily for the 65-minute and 4-hour timeframes. It utilizes a dual-layered filter system to align trades with both macro and mid-term market momentum, ensuring entries only occur during healthy uptrends. The strategy is optimized for volatile, high-growth assets like TSLA and MSFT.
How It Works
The strategy relies on three primary pillars of technical analysis to confirm an "A+" setup:
Macro Trend Filter (200 EMA): We only look for long opportunities when the price is above the 200-period Exponential Moving Average. This keeps the strategy on the right side of the long-term trend and avoids "buying the dip" during major bear markets.
Momentum Filter (50 EMA): The 50 EMA acts as a local trend filter. By requiring price to be above both EMAs, we ensure the medium-term momentum is also bullish.
The Trigger (Stochastic RSI): We enter when the Stochastic RSI K-line crosses above the 20 level (Oversold). This identifies local "oversold" pullbacks within a larger uptrend.
Risk Management & Exit Plan
This strategy is built with professional-grade capital preservation in mind:
Trailing Stop-Loss: A 5% trailing stop follows the price as it moves in our favor. This protects unrealized profits and helps mitigate the drawdown during sudden reversals.
Dynamic Profit Target: The strategy exits automatically if the Stochastic RSI K-line reaches the 97 level, capturing gains at the peak of momentum.
Session Filter: To avoid the "noise" of pre-market and low-volume afternoon trading, the strategy is restricted to the Market Open (9:30 AM EST) window where institutional volume is highest.
Backtesting Notes
Realistic Simulation: This strategy includes a 0.05% commission and 2 ticks of slippage to reflect real-world execution costs.
Recommended Assets: Optimized for Nasdaq-100 components and high-volume growth stocks.
Timeframe: Best performance found on 65m or 4h intervals.
BUY Sell Signal (Kewme)//@version=6
indicator("EMA Cross RR Box (1:4 TP Green / SL Red)", overlay=true, max_lines_count=500, max_boxes_count=500)
// ===== INPUTS =====
emaFastLen = input.int(9, "Fast EMA")
emaSlowLen = input.int(15, "Slow EMA")
atrLen = input.int(14, "ATR Length")
slMult = input.float(1.0, "SL ATR Multiplier")
rr = input.float(4.0, "Risk Reward (1:4)") // 🔥 1:4 RR
// ===== EMA =====
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
plot(emaFast, color=color.green, title="EMA Fast")
plot(emaSlow, color=color.red, title="EMA Slow")
// ===== ATR =====
atr = ta.atr(atrLen)
// ===== EMA CROSS =====
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// ===== VARIABLES =====
var box tpBox = na
var box slBox = na
var line tpLine = na
var line slLine = na
// ===== BUY =====
if buySignal
if not na(tpBox)
box.delete(tpBox)
if not na(slBox)
box.delete(slBox)
if not na(tpLine)
line.delete(tpLine)
if not na(slLine)
line.delete(slLine)
entry = close
sl = entry - atr * slMult
tp = entry + atr * slMult * rr // ✅ 1:4 TP
// TP ZONE (GREEN)
tpBox := box.new(
left=bar_index,
top=tp,
right=bar_index + 20,
bottom=entry,
bgcolor=color.new(color.green, 80),
border_color=color.green
)
// SL ZONE (RED)
slBox := box.new(
left=bar_index,
top=entry,
right=bar_index + 20,
bottom=sl,
bgcolor=color.new(color.red, 80),
border_color=color.red
)
tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2)
slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2)
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
// ===== SELL =====
if sellSignal
if not na(tpBox)
box.delete(tpBox)
if not na(slBox)
box.delete(slBox)
if not na(tpLine)
line.delete(tpLine)
if not na(slLine)
line.delete(slLine)
entry = close
sl = entry + atr * slMult
tp = entry - atr * slMult * rr // ✅ 1:4 TP
// TP ZONE (GREEN)
tpBox := box.new(
left=bar_index,
top=entry,
right=bar_index + 20,
bottom=tp,
bgcolor=color.new(color.green, 80),
border_color=color.green
)
// SL ZONE (RED)
slBox := box.new(
left=bar_index,
top=sl,
right=bar_index + 20,
bottom=entry,
bgcolor=color.new(color.red, 80),
border_color=color.red
)
tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2)
slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2)
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
TWR of Bill WilliamsThis indicator was taken from the book “Trading Chaos Pt 1” by Bill Williams.
TWR contains 3 Moving Averages
Ripple - MA with 5 bars length
Wave - MA with 13 bars length
Tide - MA with 34 bars length
According to Bill Williams, you should take only a long position if the Ripple(5 bars length) is higher than Wave(13) and Tide(34).
Also, you should take only a short position, if the Ripple (the fastest MA) is lower than Wave MA and Tide MA(slowest MA).
This indicator is also used if you want to fill in the Profitunity Trading Partner table.
BiasFlow Long System🔹 Short summary
“BiasFlow Long System” is an invite-only, long-only strategy designed to participate in bullish trends using a combination of:
• a directional “bias” filter based on price behaviour over time, and
• candle-structure conditions that confirm short-term strength before entering,
plus a simple risk-management layer (stop loss and optional take profit).
The system is intentionally selective: it aims to enter only when a clear upward bias and a cluster of bullish price action align, and then to exit on opposite conditions or risk-based levels. It is NOT a holy grail and NOT financial advice.
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0. Legal / risk disclaimer
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• This script is invite-only and for EDUCATIONAL and RESEARCH purposes only.
• It is NOT financial advice and does NOT guarantee profits.
• Backtest results can differ significantly from live trading results.
• Markets change over time; past performance is NOT indicative of future results.
• You are fully responsible for your own trading decisions and risk.
Do not trade with money you cannot afford to lose. Always start with demo / paper trading and make sure you understand how the strategy behaves on your own market and timeframe before risking real capital.
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1. About default settings and risk (very important)
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The internal `strategy()` call uses:
• `initial_capital = 100`
→ This is only a simple example account size for testing.
• `default_qty_type = strategy.percent_of_equity`
• `default_qty_value = 100`
→ This means 100% of equity per trade in the default properties.
→ This is EXTREMELY AGGRESSIVE and should be treated purely as a STRESS TEST of the logic, **not** as a realistic way to trade.
To align with TradingView’s Strategy Results guidelines and more realistic risk management, you should:
1. Open **Strategy Settings → Properties**.
2. Change:
• Order size type → **Percent of equity** (if not already).
• Order size (percent) → e.g. **1–2%** per trade (or any small risk that fits your plan).
3. Check that **commission & slippage** are realistic for your broker and market.
• The script uses a 0.1% example commission and a small slippage value as a starting point, but you must adapt them to your conditions.
If you decide to run 100% of equity per trade, treat it only as a stress scenario for backtesting the behaviour of the system, **never** as a recommended risk profile for live trading.
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2. What this strategy tries to do (conceptual overview)
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BiasFlow Long System is a **long-only, bias-based trend participation strategy**.
Conceptually, it tries to:
1. Detect when the market has a **sustained upward directional bias** using an internal bias filter applied directly to price behaviour over time.
2. Wait for a **short-term cluster of bullish candles** in that favourable environment before entering a long position.
3. Use **risk-based exits** (stop loss and optional take profit) together with a bearish candle-structure condition to close trades when the upward bias fails or local conditions deteriorate.
In other words, it is not trying to catch every small fluctuation. Instead, it waits for the market to **lean upward** and then demands a clear, short-term confirmation from the candles before committing capital, exiting either on a controlled risk level or on a structured bearish pattern.
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3. Components and how they work together
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BiasFlow Long System consists of three main building blocks:
(1) Time / backtest window control
• You can select a continuous start/end date range.
• You can also use a **year-selector** (checkboxes per year) to include or exclude specific calendar years.
• This allows you to:
- test the strategy across long histories,
- compare behaviour in different regimes (e.g. 2018 vs 2021),
- avoid accidentally cherry-picking a tiny, overly-optimistic window.
(2) Bias engine
• Internally, the strategy computes a **directional bias** from price.
• It classifies the environment into broad states like “up”, “down” (and internally handles flat conditions).
• Long entries are only allowed when the bias engine deems the environment favourable (an “up” state).
• This prevents the strategy from buying blindly into obvious downtrends.
(3) Candle-structure and risk module
• Entry signals require a **cluster of bullish candles** that meet strict internal conditions.
- Exact rules are deliberately not disclosed, but the idea is to demand multiple aligned bullish bars to confirm local strength before entering.
• Exits can be triggered by:
- a **cluster of bearish candles** under suitable conditions, signalling local weakness, and/or
- the risk module (stop loss / take profit) if those levels are hit first.
These components are designed to work together so that the strategy only participates when:
• the broader environment supports longs (bias engine), and
• the immediate price action confirms that bullish pressure is actually present (candle structure),
while exits are handled in a rule-based way either by candle structure or by pre-defined risk thresholds.
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4. Entry & Exit logic (high level)
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At a high conceptual level:
A) Time filter
• Only bars inside your chosen backtest window (date range or selected years) are considered for entries and exits.
• This helps you analyse specific periods (e.g. only post-2020 data) without changing the code.
B) Entry (long-only)
A long trade is considered only when all of the following conceptual conditions are met:
1. The bar is inside the allowed backtest window.
2. The **bias engine** classifies the environment as favourable for longs (up-bias).
3. The most recent candles form a **bullish sequence** according to internal rules (e.g. price closing strongly vs. open on several consecutive bars).
If these conditions align, the strategy opens a **single long position** with the sizing defined in your Strategy Properties (for example 1–2% of equity per trade).
C) Risk-based exit
Once in a position, the strategy maintains a basic risk framework:
• **Stop Loss (SL)**:
- Defined as a percentage distance below the average entry price.
- Enabled by default in the Inputs, but you can adjust the percentage or disable it if you want to test raw logic.
• **Take Profit (TP)**:
- Also defined as a percentage distance above the average entry price.
- By default, the TP module is optional and configured as a very wide level so it does not interfere unless you intentionally enable and tune it.
- You should set a realistic TP (for example a multiple of your risk) if you want to use it.
The SL/TP orders are managed as OCO exits by TradingView, so if one is hit first, the other is cancelled automatically.
D) Candle-based exit
In addition to risk exits:
• The strategy watches for a **structured bearish sequence** of candles while the bias is still acceptable for exits.
• When that bearish structure appears, the strategy closes the open long position.
• This allows the system to respond to a change in short-term price behaviour even if the stop loss or take profit have not been reached yet.
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5. Recommended backtest configuration (to avoid misleading results)
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To keep your results in line with TradingView’s Strategy Results guidelines and avoid misleading curves:
1. **Initial capital**
- You can keep 100 as in the code or choose any other realistic account size.
2. **Order size (RISK PER TRADE)**
- Type: **Percent of equity**.
- Recommended: **1–2% per trade** as a starting point.
- Avoid using more than 5–10% risk per trade if you want something that could be sustainable in real trading.
3. **Commission & slippage**
- Commission: for example 0.1% if that approximates your broker’s fee.
- Slippage: a few ticks (e.g. 3) to represent real fills.
- Always adjust these to your instrument and broker conditions.
4. **Timeframe & markets**
- The system is designed to work on trending instruments (for example major crypto pairs or indices).
- Typical timeframes: 1D is reasonable starting points but you can try with 1H / 4H.
- On higher timeframes, trades will be rarer but may aim at larger swings.
5. **Avoid “caution warning” backtests**
- If TradingView shows warnings like “too few trades” or “insufficient data” in your chosen configuration, consider:
- expanding the backtest period,
- switching to a more liquid / volatile instrument, or
- changing timeframe to produce a more meaningful sample.
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5a. About low trade count and selective signals
────────────────────────
BiasFlow Long System is **not** a high-frequency scalping algorithm. It is deliberately selective:
• It is long-only.
• It requires a favourable bias environment AND a specific pattern of bullish candles before entering.
• On higher timeframes (e.g. Daily) or very strict filter settings, the strategy can produce a **relatively low number of trades** over many years of data.
TradingView often recommends having 100+ trades for stronger statistics. In this particular system:
• A lower trade count is a **conscious design choice**, reflecting the goal of focusing on a smaller set of higher-conviction long setups rather than constant trading.
• Because of this, backtest metrics (profit factor, win rate, etc.) should NOT be interpreted as statistically “proven” – they are just one sample of how this logic would have behaved on past data.
Always use caution when drawing conclusions from a small number of trades.
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6. How to use this strategy (step-by-step)
────────────────────────
1. **Add the script to your chart**
- Choose your instrument and timeframe (e.g. BTCUSDT 1D, or any trending symbol you want to study).
2. **Configure the backtest window**
- In the Inputs, set either:
- a specific Start Date (e.g. 2018-01-01), or
- use the year checkboxes to include/exclude calendar years.
- This allows you to test different regimes (pre-/post-halving, bull vs. bear, etc.).
3. **Adjust risk settings**
- Open Inputs → Risk Management:
- Choose whether to use the Stop Loss and/or Take Profit.
- Set realistic percentages for your market and volatility.
- Open Strategy Properties:
- Set order size to a realistic % of equity (e.g. 1–2%).
- Verify commission and slippage.
4. **Run the backtest**
- Inspect:
- Net Profit, Max Drawdown, Profit Factor
- Number of trades and average trade duration
- Equity curve shape (smooth vs. choppy).
5. **Experiment carefully**
- Try different symbols, timeframes, and risk settings.
- Observe how the system behaves in different market regimes and how sensitive it is to your parameter choices.
6. **Forward-test in demo**
- Before even considering live usage, run the system on a paper account and watch how signals appear in real time.
- Make sure the behaviour matches your expectations from the backtest.
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7. Originality and usefulness (why this is more than a mashup)
────────────────────────
BiasFlow Long System is not just a visual mashup of common indicators on a chart. It is a **coherent, bias-driven framework** with:
• A dedicated **time / regime control** (year and date filters) to study behaviour across multiple cycles.
• An internal **bias engine** that only allows trades when the market structure supports longs.
• A **candle-structure layer** that requires a sequence of aligned bullish or bearish bars, rather than isolated single-bar signals.
• A simple but practical **risk module** that integrates percentage-based SL/TP exits.
The core logic is intentionally abstracted and not publicly disclosed, but the conceptual design is:
• to combine directional bias,
• with short-term confirmation,
• under explicit risk-management constraints,
in a way that is testable, repeatable, and suitable as a base for further private research and improvement.
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8. Limitations and good practices
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• No strategy performs well in all markets and all conditions.
• This system is **long-only**, so in prolonged bear markets it may spend long periods out of the market or perform poorly.
• Performance is sensitive to:
- timeframe,
- instrument volatility,
- risk settings (SL/TP, position size).
Good practices:
• Test on multiple instruments and timeframes.
• Focus on drawdowns, stability, and robustness, not just on maximum profit.
• Avoid overfitting by constantly re-optimising parameters to your last backtest window.
• Treat this as a **framework and research tool**, not a plug-and-play money printer.
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9. Licensing and credits
────────────────────────
• Code and logic:
- “BiasFlow Long System” created by Jokiniemi Marcin Arcisz.
• This script is invite-only.
• If you reuse or extend ideas from this system, please do so in a way that respects TradingView’s House Rules and the author’s intent.
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10. Invite-only / vendor information
────────────────────────
• This strategy is distributed on an **invite-only** basis.
• There is **no guarantee of profit** and no claim that this strategy will outperform the market.
• The description focuses on the conceptual design and risk considerations so that TradingView users and moderators can understand what it tries to do and how to use it responsibly.
• Any access, subscription, or collaboration outside TradingView, if it exists, should always comply with TradingView’s Vendor Requirements and general House Rules.
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11. Example backtest settings used in screenshots
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To avoid confusion about how example results were produced, here is one concrete configuration you can use as a starting point:
• Symbol: BTCUSDT (or another major, liquid trending pair)
• Timeframe: 1D
• Backtest period: from 2018-01-01 to the most recent available data
• Initial capital: 100
• Order size type: Percent of equity
• Order size: 2% per trade
• Commission: 0.1%
• Slippage: 3 ticks
• Risk settings:
- Stop Loss enabled with a moderate % distance from entry
- Take Profit disabled or set to a realistic multiple of the risk
• Filters:
- Backtest window: multiple years selected
- Bias engine and candle-structure logic enabled (as they are part of the core system)
If you change any of these parameters (symbol, timeframe, risk per trade, commission, slippage, backtest window, etc.), your results will look different. Always adapt the configuration to your own risk tolerance, market, and trading style.
Multi Moving Average (EMA / SMA) - 4 Periods📈 Indicator Overview – Multi Moving Average (EMA / SMA)
This indicator is designed to help traders analyze trend direction and market structure using multiple moving averages in a single, clean tool.
The user can select the type of moving average—either Exponential Moving Average (EMA) or Simple Moving Average (SMA)—from the settings panel. Once selected, the indicator plots up to four different moving average periods simultaneously, such as 20, 50, 100, and 200, using the chosen MA type.
Each moving average:
Has its own configurable period
Can be individually enabled or disabled
Can be assigned a custom color for easy visual identification
This flexibility allows traders to:
Identify short-, medium-, and long-term trends at a glance
Analyze trend alignment and strength
Spot dynamic support and resistance zones
Adapt the indicator easily for scalping, swing trading, or positional trading
Because the calculations are based purely on price data and standard MA formulas, the indicator is non-repainting, lightweight, and reliable, making it suitable for both discretionary and systematic trading.
In short, this is a versatile, all-in-one moving average indicator that eliminates the need to add multiple MA indicators separately, keeping the chart clean and focused.
Delta/Volume Bubble Strategy [Quant Z-Score] Maxxed VersionDelta/Volume Bubble Signals Maxxed Verison
This indicator combines advanced volume delta analysis with smart filtering to generate high-conviction intraday signals on futures like YM, ES, and NQ (5-minute charts perform particularly well in testing).
Special thanks to L&L Capital for the LNL Trend System, which provides the excellent dynamic chop detection and cloud visuals used here.
A very BIG thanks to tncylyv for the original volume delta bubble script — its Z-score normalization on extreme volume/delta is the foundation of the core detection logic.This entire system is now possible thanks to TradingView's addition of Volume Delta data in the Footprint chart, allowing accurate lower-timeframe delta aggregation without external feeds. Core Concept the indicator identifies extreme volume/delta spikes — moments when significant buying or selling pressure appears — and only signals when multiple confluence filters align. This results in lower-frequency, higher-quality trades that aim to capture institutional momentum while avoiding noise.
How It Works — Key Components Volume Delta Detection (The Heart of the System) Uses TradingView's built-in footprint delta (aggregated from lower TF, default 1-second bars).
Calculates absolute delta and applies a rolling Z-score (default lookback 60 bars) to normalize extremes across different volatility regimes and instruments.
Bubbles visualize spikes above threshold (default 1.7σ).
BUY/SELL signals require the same threshold plus additional filters.
Absorption Filter (Enabled by Default) Detects high volume/delta with minimal price movement ("effort vs result" failure = trapped traders).
Purple glow on bubbles + optional alert.
Signals are suppressed on absorption bars to avoid counter-trend traps.
Trend Filter (Nadaraya-Watson from jdehorty as default) Non-repainting kernel regression line for smooth, adaptive trend following.
Signals only fire when price is on the correct side of the trend line (above for longs, below for shorts). Can be disabled or switched to EMA/WMA/KAMA.
LNL Chop Filter (Tight Mode by Default) Dynamic ATR-based stop zones from L&L's system.
When stop levels appear on both sides of price = sideways/chop (no-go zone).
Signals completely suppressed during chop.
Usage Tips Best on intraday futures (YM 5-min has shown strong results in testing).
Defaults are tuned for balance: 1.7σ threshold, Tight LNL mode, absorption on.
Strategy version (separate script) adds LNL trailing stops for actual backtesting/exits.
Customize freely — try different LNL modes (Net for wider range), trend types, or Z-thresholds.
Also available the matching indicator by yours truly.
Important: Forward Test Thoroughly This indicator was refined on historical data, so there's always risk of over-fitting.
Always forward test on live or paper accounts for weeks/months before real capital: Validate across different market regimes (trending, ranging, high/low volatility).
Compare out-of-sample periods.
Adjust one parameter at a time and re-validate forward.
Markets change — what worked yesterday may need tweaking tomorrow.
Feel free to use, modify, and share. Good luck, and trade well! — Max
Delta/Volume Bubble Signals [Quant Z-Score] Maxxed Version Delta/Volume Bubble Signals Maxxed Verison
This indicator combines advanced volume delta analysis with smart filtering to generate high-conviction intraday signals on futures like YM, ES, and NQ (5-minute charts perform particularly well in testing).
Special thanks to L&L Capital for the LNL Trend System, which provides the excellent dynamic chop detection and cloud visuals used here.
A very BIG thanks to tncylyv for the original volume delta bubble script — its Z-score normalization on extreme volume/delta is the foundation of the core detection logic.This entire system is now possible thanks to TradingView's addition of Volume Delta data in the Footprint chart, allowing accurate lower-timeframe delta aggregation without external feeds. Core Concept the indicator identifies extreme volume/delta spikes — moments when significant buying or selling pressure appears — and only signals when multiple confluence filters align. This results in lower-frequency, higher-quality trades that aim to capture institutional momentum while avoiding noise.
How It Works — Key Components Volume Delta Detection (The Heart of the System) Uses TradingView's built-in footprint delta (aggregated from lower TF, default 1-second bars).
Calculates absolute delta and applies a rolling Z-score (default lookback 60 bars) to normalize extremes across different volatility regimes and instruments.
Bubbles visualize spikes above threshold (default 1.7σ).
BUY/SELL signals require the same threshold plus additional filters.
Absorption Filter (Enabled by Default) Detects high volume/delta with minimal price movement ("effort vs result" failure = trapped traders).
Purple glow on bubbles + optional alert.
Signals are suppressed on absorption bars to avoid counter-trend traps.
Trend Filter (Nadaraya-Watson from jdehorty as default) Non-repainting kernel regression line for smooth, adaptive trend following.
Signals only fire when price is on the correct side of the trend line (above for longs, below for shorts). Can be disabled or switched to EMA/WMA/KAMA.
LNL Chop Filter (Tight Mode by Default) Dynamic ATR-based stop zones from L&L's system.
When stop levels appear on both sides of price = sideways/chop (no-go zone).
Signals completely suppressed during chop.
Signals & Visuals
BUY: Small blue "BUY" label below bar.
SELL: Small red "SELL" label above bar.
CLOSE LONG: Tiny dark grey "CLOSE" label above bar (on opposite SELL signal or stop hit).
CLOSE SHORT: Tiny dark grey "CLOSE" label below bar (on opposite BUY signal or stop hit).
No overlap — closes only appear on actual exit/reversal bars.
Alerts (Fully Separate)Individual toggles for:
BUY Signal
SELL Signal
CLOSE LONG (opposite SELL)
CLOSE SHORT (opposite BUY)
Absorption Detected
Unusual Volume/Delta
Usage Tips Best on intraday futures (YM 5-min has shown strong results in testing).
Defaults are tuned for balance: 1.7σ threshold, Tight LNL mode, absorption on.
Strategy version (separate script) adds LNL trailing stops for actual backtesting/exits.
Customize freely — try different LNL modes (Net for wider range), trend types, or Z-thresholds.
To backtest and optimize using the matching strategy which I created as well.
Important: Forward Test Thoroughly This indicator was refined on historical data, so there's always risk of over-fitting.
Always forward test on live or paper accounts for weeks/months before real capital: Validate across different market regimes (trending, ranging, high/low volatility).
Compare out-of-sample periods.
Adjust one parameter at a time and re-validate forward.
Markets change — what worked yesterday may need tweaking tomorrow.
Feel free to use, modify, and share. Good luck, and trade well! — Max
D2E + Bands (Distance to EMA)D2E (Distance to Daily EMA)
Concept and Underlying Calculation This indicator is built on the theory of Mean Reversion. It operates on the premise that price acts like a rubber band; while it can stretch away from its average value, it rarely stays at extreme extensions for long periods without snapping back (retracement) or pausing to let the average catch up (consolidation).
Unlike standard deviations (Bollinger Bands) or ATR channels, this script uses Fixed Percentage Thresholds relative to a Multi-Timeframe Daily EMA.
How it Works (The Math)
Multi-Timeframe Data: The script specifically requests the Daily (1D) Exponential Moving Average (default length 20) regardless of the timeframe you are currently viewing. This allows day traders on a 5-minute or 15-minute chart to see their position relative to the macro Daily trend.
Distance Calculation: It calculates the variance between the current Close price and the Daily EMA using the formula: 100 * (Close - DailyEMA) / DailyEMA.
Projected Zones: It plots theoretical bands at user-defined percentage distances (e.g., 3% and 6%) above and below the Daily EMA.
How to Use
Trend Extension: When price interacts with the "Threshold %" (Yellow), it indicates the asset is becoming overextended relative to its daily mean. This often serves as a take-profit target for trend followers.
Reversal Signals: Interaction with the "Extreme Threshold %" (Red) suggests a statistically significant deviation, often signaling an exhaustion point where a mean-reversion trade (returning to the EMA) becomes probable.
The Dashboard: A dynamic table is included to provide real-time data on the exact dollar amount and percentage distance from the EMA, color-coded to match the severity of the extension.
Features and Settings
EMA Length: Customizable lookback period for the Daily EMA (Default: 20).
Thresholds: Adjustable percentage settings for standard and extreme deviations.
Visuals: Toggleable threshold lines and a customizable on-screen dashboard (position and size).
Alerts: Pre-configured alert conditions for crossing both standard and extreme thresholds.
Disclaimer This tool is for informational purposes only and does not constitute financial advice. Past performance of mean reversion strategies does not guarantee future results.
BTC 15m VWAP Structure Breakout [ALERT]BTC 15m VWAP Structure Breakout Strategy (Alert Only)
This strategy is designed for BTC on the 15-minute timeframe.
It focuses on identifying high-probability structural breakouts within an established trend, not predicting tops or bottoms.
The script is alert-only.
Entries are taken manually, based on confirmation after the alert.
🎯 Core Idea
The main question this strategy answers is:
“Is this breakout occurring with the trend,
or is it just a fake move inside a ranging market?”
To solve this, the strategy combines:
VWAP (institutional average price)
EMA20 (short-term trend filter)
Market structure breakout
📈 Indicators Used
VWAP (Volume Weighted Average Price)
Represents the market’s fair value and institutional bias.
EMA20
Defines short-term trend direction and momentum.
Structure High / Low (last 25 candles)
Identifies meaningful resistance and support levels.
🧭 Market Bias Filter
🔵 Bullish Bias (Long Setup Allowed)
Price closes above VWAP
EMA20 is rising (higher than 2 candles ago)
This confirms a valid bullish environment before looking for breakouts.
🔴 Bearish Bias (Short Setup Allowed)
Price closes below VWAP
EMA20 is falling (lower than 2 candles ago)
This confirms a valid bearish environment.
🚀 Breakout Signal Conditions
✅ Long Breakout Alert
A LONG alert is triggered when all conditions are met:
Bullish market bias
Price closes above EMA20
Price breaks above the previous 25-candle high
by at least 0.15%
➡️ This captures true continuation breakouts, not random spikes.
❌ Short Breakdown Alert
A SHORT alert is triggered when all conditions are met:
Bearish market bias
Price closes below EMA20
Price breaks below the previous 25-candle low
by at least 0.15%
➡️ This captures trend-aligned support breakdowns.
🔔 How to Use the Alerts (Important)
These alerts are NOT automatic entry signals.
When an alert fires, check:
Volume expansion
Breakout confirmation or pullback-and-reclaim
Higher-timeframe trend alignment
👉 Alert = “Market is ready, pay attention”
🧠 Best Market Conditions
✔ Trending BTC markets
✔ Breakout or expansion phases
✔ Works in all sessions (no session filter)
❌ Choppy or low-volatility ranging markets
👍 Who This Strategy Is For
Traders who can’t watch charts all day
Traders who want to reduce emotional entries
Traders who prefer probability and structure over prediction
Manual traders using alerts as decision triggers
📌 Final Thoughts
This strategy:
❌ does NOT try to catch bottoms or tops
✅ reacts only when structure confirms a real move
Let the market show strength first —
then decide how to trade it.
Trade_Today_Together (ASHOK'S) Subject: Introducing a Rule-Based Trading Indicator Built on Structure, Psychology & Trend
Hello,
I’m pleased to share an overview of a trading indicator designed to simplify decision-making by combining multiple proven market concepts into a single, structured framework.
This indicator integrates price structure using Weekly OHLC levels, market psychology through Fibonacci-based calculations, and trend strength via moving average logic. By aligning these three components, it helps traders clearly identify important price zones and understand the broader market context.
Rather than attempting to predict future price movements, the indicator reacts to real-time price behavior at key levels. This approach supports disciplined trading by focusing on confirmation and confluence, reducing emotional bias and unnecessary trades.
The framework is suitable for traders who prefer:
* Rule-based and objective analysis
* Reduced screen time
* Consistent decision-making across different market conditions
It can be applied across various instruments and timeframes and is well-suited for swing, positional, and system-based trading strategies.
If you would like more details, a live demonstration, or access information, please feel free to get in touch.
Warm regards,
Ashok
Enterprise Adaptive RSI WeightDescription (TradingView)
Enterprise Adaptive RSI Weight is a clean, decision-support oscillator for XAUUSD & EURUSD (5m/15m).
It converts RSI into a normalized Weight (W) and smooths it with a Hull Moving Average (yellow) to highlight trend bias + momentum shifts.
What to watch
W (main line) = bias & momentum (above 0 = bullish, below 0 = bearish)
Yellow line (HMA) = signal filter
CROSS (W ↔ HMA) = key confirmation point
CROSS ↑ = bullish momentum confirmation
CROSS ↓ = bearish momentum confirmation
Built-in safety filters (enterprise-style)
Signals are filtered by:
Quality/Gate (model confidence)
Dead Zone (avoids weak/noise signals)
Optional HTF alignment (trade only when higher timeframe agrees)
Visual markers
L / S = entry triggers (valid cross + filters)
XL / XS = momentum exit warnings
0↑ / 0↓ = bias flip (crossing the 0 line)
REV = exit from extreme zones (OB/OS reversal hint)
STR = strong trend condition
How to use (simple workflow)
Check STATE in the panel: trade only BULL or BEAR
Enter on CROSS in the same direction
Manage/exit on XL/XS or loss of momentum
Tip: Best used as a confirmation tool, not as a standalone strategy.
Multi Moving Average (EMA / SMA) - 4 Periods📈 Indicator Overview – Multi Moving Average (EMA / SMA)
This indicator is designed to help traders analyze trend direction and market structure using multiple moving averages in a single, clean tool.
The user can select the type of moving average—either Exponential Moving Average (EMA) or Simple Moving Average (SMA)—from the settings panel. Once selected, the indicator plots up to four different moving average periods simultaneously, such as 20, 50, 100, and 200, using the chosen MA type.
Each moving average:
Has its own configurable period
Can be individually enabled or disabled
Can be assigned a custom color for easy visual identification
This flexibility allows traders to:
Identify short-, medium-, and long-term trends at a glance
Analyze trend alignment and strength
Spot dynamic support and resistance zones
Adapt the indicator easily for scalping, swing trading, or positional trading
Because the calculations are based purely on price data and standard MA formulas, the indicator is non-repainting, lightweight, and reliable, making it suitable for both discretionary and systematic trading.
In short, this is a versatile, all-in-one moving average indicator that eliminates the need to add multiple MA indicators separately, keeping the chart clean and focused.
TurboRSI Pro [JOAT]TurboRSI Pro - Multi-Length RSI Ensemble with Dynamic Momentum Analysis
Introduction
TurboRSI Pro is an open-source indicator that reimagines the classic RSI by calculating multiple RSI lengths simultaneously and combining them into a single, more reliable momentum reading. Instead of relying on a single RSI period that may lag or produce false signals, this indicator creates an ensemble of RSI values across a configurable range, providing a smoother and more robust momentum assessment.
The indicator is designed for traders who want deeper insight into momentum conditions without the noise that comes from single-period oscillators.
Originality and Purpose
This indicator is NOT a simple RSI with different settings. It is an original implementation that solves a fundamental problem with traditional RSI:
The Problem with Single-Period RSI: Traditional RSI uses a single lookback period (typically 14). The issue is that different market conditions favor different RSI lengths. A 14-period RSI might work well in one market phase but produce false signals in another. There's no "perfect" RSI length that works in all conditions.
The Multi-Length Solution: TurboRSI Pro calculates RSI across a range of lengths (default: 10 to 20) simultaneously, then averages all values to create a composite reading. This ensemble approach filters out period-specific noise while preserving genuine momentum shifts. When multiple RSI lengths agree, the signal is more reliable.
OB/OS Strength Percentage: The indicator tracks how many individual RSI lengths are in overbought or oversold territory. When 100% of lengths are overbought, it's a much stronger signal than when only 50% are. This percentage-based approach is original to this indicator and provides conviction assessment.
Candle Heatmap Innovation: An optional feature colors price bars based on deviation from a 200-bar linear regression line. This shows when price is statistically overextended (HOT/COLD) independent of RSI, providing another layer of analysis.
How the components work together:
Multi-length RSI ensemble provides a more robust momentum reading than single-period RSI
OB/OS Strength percentages quantify how many timeframes agree on the momentum condition
Dynamic channels expand/contract based on momentum strength across all calculated lengths
Candle heatmap adds statistical price deviation context independent of RSI
Core Concept: Multi-Length RSI Ensemble
Traditional RSI uses a single lookback period (typically 14). The problem is that different market conditions favor different RSI lengths. TurboRSI Pro solves this by:
Calculating RSI across a range of lengths (default: 10 to 20)
Averaging all RSI values to create a composite reading
Tracking how many individual RSI lengths are in overbought or oversold territory
Displaying this information as "OB Strength" and "OS Strength" percentages
This approach filters out noise while preserving genuine momentum shifts.
How the Multi-Length RSI Works
The calculation uses an efficient array-based approach:
int N = maxLength - minLength + 1
float diff = nz(srcInput - srcInput )
for i = 0 to N - 1
int len = minLength + i
float alpha = 1.0 / len
float numRma = alpha * diff + (1 - alpha) * array.get(numArr, i)
float denRma = alpha * math.abs(diff) + (1 - alpha) * array.get(denArr, i)
float rsiVal = denRma != 0 ? 50 * numRma / denRma + 50 : 50
avgRSI += rsiVal
Each RSI length is calculated using the RMA (Running Moving Average) formula, then all values are averaged. The result is a composite RSI that responds to momentum changes while filtering out period-specific noise.
Visual Components
1. Multi-Length RSI Line
The main oscillator line displays the averaged RSI value with a gradient color:
Green gradient when RSI is above 50 (bullish momentum)
Red gradient when RSI is below 50 (bearish momentum)
Color intensity increases as RSI approaches extreme levels
2. Dynamic Channels
Two adaptive channel lines track momentum extremes:
Upper Channel: Expands when multiple RSI lengths enter overbought territory
Lower Channel: Expands when multiple RSI lengths enter oversold territory
Channel width indicates momentum strength across all calculated lengths
3. Candle Heatmap
An optional feature that colors price bars based on deviation from a linear regression line:
Red/Orange bars: Price is significantly above the regression line (overextended to upside)
Blue bars: Price is significantly below the regression line (overextended to downside)
Yellow bars: Price is near the regression line (neutral)
The heatmap uses a 200-bar regression calculation to identify when price has deviated significantly from its statistical trend.
4. Reference Lines
Standard RSI reference levels are displayed:
80 and 20: Extreme overbought/oversold
70 and 30: Standard overbought/oversold thresholds
50: Neutral momentum line
5. Background Zones
Shaded areas indicate the percentage of RSI lengths in extreme territory:
Green shading from bottom: Percentage of lengths in overbought
Red shading from top: Percentage of lengths in oversold
Dashboard Panel
The dashboard displays real-time analysis in a 7-row table:
RSI Value: Current composite RSI reading (large text for visibility)
Momentum: Current state - OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL
OB Strength: Percentage of RSI lengths currently above the overbought threshold
OS Strength: Percentage of RSI lengths currently below the oversold threshold
Heat Level: Current price deviation state - HOT, WARM, NEUTRAL, COOL, or COLD
Trend Bias: Overall trend assessment based on RSI level and channel direction
Optional Stochastic RSI
When enabled, an additional Stochastic RSI line is plotted. This applies the stochastic formula to the RSI itself, providing another layer of momentum analysis. The Stochastic RSI is more sensitive to short-term momentum shifts.
Input Parameters
RSI Settings:
Min RSI Length: Starting length for the RSI range (default: 10)
Max RSI Length: Ending length for the RSI range (default: 20)
Source: Price source for calculation (default: ohlc4)
Overbought: Upper threshold (default: 70)
Oversold: Lower threshold (default: 30)
Candle Heatmap:
Enable Heatmap: Toggle bar coloring on/off (default: enabled)
Regression Length: Lookback for linear regression calculation (default: 200)
Display:
Show Dashboard: Toggle the information panel (default: enabled)
Show Dynamic Channels: Toggle channel lines (default: enabled)
Show Stochastic RSI: Toggle additional Stoch RSI line (default: disabled)
Colors:
Bullish: Color for bullish conditions (default: teal)
Bearish: Color for bearish conditions (default: red)
Neutral: Color for neutral conditions (default: gray)
How to Use TurboRSI Pro
Identifying Momentum Shifts:
Watch for RSI crossing above 50 for bullish momentum confirmation
Watch for RSI crossing below 50 for bearish momentum confirmation
Use the gradient color to quickly assess momentum direction
Using OB/OS Strength:
When OB Strength reaches 100%, all RSI lengths are overbought - strong reversal potential
When OS Strength reaches 100%, all RSI lengths are oversold - strong bounce potential
Partial readings (e.g., 50%) indicate mixed conditions across timeframes
Heatmap Analysis:
HOT readings combined with high RSI suggest overextension - caution for longs
COLD readings combined with low RSI suggest oversold conditions - watch for reversal
Use heatmap divergence from RSI for additional confirmation
Channel Interpretation:
Expanding upper channel with rising RSI confirms strong bullish momentum
Expanding lower channel with falling RSI confirms strong bearish momentum
Channel contraction suggests momentum is weakening
Alert Conditions
Six alert conditions are available:
RSI Overbought: RSI crosses above overbought threshold
RSI Oversold: RSI crosses below oversold threshold
RSI Bullish Cross: RSI crosses above 50
RSI Bearish Cross: RSI crosses below 50
All RSI Overbought: Every RSI length is in overbought territory
All RSI Oversold: Every RSI length is in oversold territory
Best Practices
Use on higher timeframes (1H, 4H, Daily) for more reliable signals
Combine with price action analysis - RSI confirms, it does not predict
Pay attention to OB/OS Strength percentages for conviction assessment
The heatmap works best on assets with clear trending behavior
Adjust min/max RSI lengths based on your trading style - wider range for smoother signals
Limitations
Like all oscillators, can remain in overbought/oversold territory during strong trends
The heatmap regression may lag during rapid price movements
Multi-length calculation requires more processing than single RSI
Best suited for swing trading and position trading timeframes
Technical Notes
This indicator is written in Pine Script v6 and uses:
Array-based calculations for efficient multi-length RSI computation
Linear regression for heatmap deviation analysis
Gradient coloring for intuitive visual feedback
State management for dynamic channel calculations
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
KPA Advisory - Strong Trend Following SignalsThis indicator is designed to help traders identify high-quality continuation opportunities during strong market trends, with a particular focus on pullback behavior and price reaction.
Instead of generating frequent signals, the script emphasizes selectivity. Signals only appear after the market has demonstrated:
A clearly established directional trend
A meaningful corrective phase against that trend
Evidence that selling pressure is weakening and demand is re-emerging
The goal is not to predict tops or bottoms, but to highlight moments where price shows structural readiness to continue in the prevailing direction.
Signal Philosophy
All signals generated by this indicator are advisory in nature.
They are intended to
Draw attention to areas of interest
Help traders focus on moments where risk–reward conditions may be improving
Support discretionary decision-making
Signals are NOT trade commands.
They should always be evaluated in combination with
Price action
Market context
Personal risk management rules (entry confirmation, stop-loss placement, position sizing)
Blindly entering trades solely based on indicator signals is strongly discouraged.
Signal Types
The indicator may display different visual labels to reflect signal quality and context, such as:
Strong continuation signals aligned with trend strength
Cautionary signals when pullbacks are deep or momentum is weakening
These distinctions are meant to help traders assess conditions, not to rank outcomes or predict performance.
Intended Market & Usage
This script was developed primarily for Vietnamese stock market instruments, where price behavior often features
Strong directional phases
Deep but structured pullbacks
Clear reaction points before continuation
However, traders may experiment with other markets at their own discretion.
For best use
Apply the indicator during trending market conditions
Avoid range-bound or low-volatility environments
Combine signals with your own technical and price-based analysis
Important Notes & Disclaimer
This indicator does not provide investment advice
Past signals do not guarantee future results
Market conditions can change rapidly
The author is not responsible for trading decisions made using this script
Trading involves risk. Always trade responsibly.
Copyright
Developed by: KPA Advisory
Market focus: Vietnam Stock Market
2026 KPA Advisory. All rights reserved.
Trader Baboo Aanaa V 1.1this indicator uses 5 exponential moving average to generate bullish signals on close below it. it uses only 5 ema corely.
SEPA Sell Signal IndicatorSEPA Sell Signal Indicator - Documentation
Overview
A comprehensive exit signal indicator designed to work alongside the main SEPA (Stage, EMA, Price Action) indicator. It detects entry points via SEPA base breakouts and provides intelligent sell signals to protect profits and limit losses.
Core Features
Entry Detection
Automatically detects SEPA base breakout patterns
Tracks entry price and calculates swing low reference
Monitors position status (LONG/FLAT)
5 Sell Triggers
Price < EMA50 (Technical weakness)
Protected by EMA10 system (see below)
Trend Broken (Price < EMA150 AND EMA200)
Major trend reversal signal
Not protected - always fires
EMA Cross (EMA50 < EMA150)
Death cross indicating momentum shift
Not protected - always fires
Swing Low Broken (Price < Previous Swing Low)
Hard stop loss trigger
Lookback period: 10 bars (adjustable 5-50)
Not protected - always fires
Relative Strength Negative (RS vs NIFTY500 < 0)
Stock underperforming benchmark index
Based on 21-period EMA comparison
Not protected - always fires
EMA10 Protection System (Refinement Feature)
Purpose
Prevents premature exits during healthy pullbacks in strong uptrends.
Protection Criteria (All must be true)
✅ Stock in uptrend (EMA50 > EMA150 > EMA200)
✅ Price above EMA10
✅ Price above EMA50
✅ Only protects Condition 1 (Price < EMA50)
Two-Stage Warning System
Stage 1: Yellow "CAUTION" Signal
Appears when Condition 1 triggers but protection is active
Grace period begins (default: 5 bars)
Allows time for price to recover
Stage 2: Red "SELL" Signal
Fires when ANY of these occur:
Warning timer expires (5/5 bars)
Price drops below EMA10
Price drops below EMA50
Uptrend ends
Any other sell condition (2-5) triggers
Settings
Enable EMA10 Protection: ON/OFF toggle (default: ON)
Protection Time Limit: 1-20 bars (default: 5)
Visual Elements
Chart Signals
🔴 Red Triangle (SELL): Confirmed sell signal - exit position
🟡 Yellow Circle (CAUTION): Warning - monitor closely
🟢 Green Background Tint: Currently in position
Information Tables
Top Right - Sell Conditions Table
Shows real-time status of all 5 conditions
✓ (Green) = Condition NOT met (safe)
✓ (Red) = Condition met (danger)
⚠ (Yellow) = Warning active (monitoring)
Displays EMA10 protection status (ON/OFF)
Shows warning timer (e.g., "3/5")
Bottom Right - Position Details (when in position)
Entry price
Swing low level
Relative strength value (color-coded)
Current P&L percentage
Bottom Right - Status (when flat)
Shows "NO POSITION"
Indicates waiting for "BASE BREAKOUT"
Alert System
Entry Signal: SEPA base breakout detected
Warning Alert: Caution - price below EMA50 but protected
EMA50 Break: Sell confirmed after protection expires
Trend Break: Major reversal - exit immediately
EMA Cross: Death cross - exit immediately
Swing Low Break: Hard stop - exit immediately
RS Negative: Underperformance - exit immediately
Configuration Parameters
ParameterDefaultRangeDescriptionEMA 10101-50Fast moving average for protectionEMA 50501-200Primary trend indicatorEMA 1501501-300Medium-term trendEMA 2002001-500Long-term trendSwing Low Lookback105-50Bars to find previous swing lowRS EMA215-50Period for relative strength calcBenchmarkCNX500-Index for RS comparisonProtection Time Limit51-20Max bars for warning stateTable Text Size1 (Small)0-40=Tiny, 4=HugeEMA10 ProtectionONON/OFFEnable/disable protection
Trading Workflow
Entry: Indicator detects SEPA base breakout
Monitoring: Track 5 sell conditions in real-time
Warning: Yellow CAUTION if minor weakness (Condition 1 only)
Grace Period: 5 bars to recover or confirm breakdown
Exit: Red SELL signal when conditions confirm weakness
Reset: Returns to flat, waits for next base breakout
Key Advantages
✅ Selective Protection: Only protects shallow pullbacks, not real breakdowns
✅ Time-Limited: Won't delay exits indefinitely (5-bar max)
✅ Multi-Layered: 5 independent sell conditions
✅ Visual Clarity: Color-coded signals and comprehensive tables
✅ Customizable: All parameters adjustable for your style
✅ Alert System: Never miss a critical signal
Philosophy
The indicator balances two competing goals:
Stay in winning trades during healthy pullbacks
Exit quickly when trends genuinely reverse
The refined EMA10 protection system achieves this by giving breathing room for minor dips while ensuring swift exits on confirmed weakness.
Trader Baboo Aanna V 1.0This Script uses Moving Exponential average of five to generate bullish signals. it is based only on 5 ema. it could be used on any time frame.
Super Indicator v12 - Scalper EngineSuper Indicator and buy sell signal for scalping
Dual Supertrend confirmation
• EMA trend structure
• MACD/RSI/VWMA filters
• Candle coloring
• Buy Sell Arrows
Disclaimer:
This script is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Please test thoroughly and use at your own discretion. You are solely responsible for your trading decisions.
2H ReversalsThis is a combination of many reversal strategies rolled into one including but not limited to MACD crossover, RSI, Stochastic Oscillator, EMA crossover, Parabolic SR.... This indicator is best on the 2hour timeframe. It only trades in the direction of the daily timeframe trend bias.
S/R + RSI + EMA + Trend + SingalIndicator Name: S/R RSI EMA Trend Signal (All-in-One)
Overview
The S/R RSI EMA Trend Signal is a comprehensive, multi-functional trading toolkit designed to provide a 360-degree view of the market. It combines trend following, support/resistance identification, momentum tracking, and volatility-based entry signals into a single, clean overlay.
This script is optimized for traders who want to reduce chart clutter while maintaining access to high-probability technical data.
Key Features
1. Multi-EMA & MA Ribbon
Customizable Layers: Features 4 independent Exponential Moving Averages (EMA 34, 89, 200, 633) and 1 Simple Moving Average (MA 80).
Visibility Control: Each line can be toggled on/off individually.
Purpose: Helps identify dynamic support/resistance levels and determines the long-term vs. short-term trend bias.
2. Dynamic Support & Resistance
Pivot-Based Zones: Automatically calculates and draws significant horizontal S/R levels based on recent pivot highs and lows.
Strength Filtering: Includes a "Minimum Strength" filter to only show levels that have been tested multiple times.
Price Proximity Labels: Displays the exact price of the level and the percentage distance from the current market price.
3. Multi-Timeframe (MTF) RSI Dashboard
Real-time Monitoring: A sleek table in the top-right corner showing RSI values across 8 different timeframes (1m to 1D).
Heatmap Visualization: Cells change color based on Overbought (>70) or Oversold (<30) conditions, allowing for quick "confluence" checks across timeframes.
4. Automated Trendlines
Smart Detection: Automatically draws the most relevant bullish and bearish trendlines based on adjustable sensitivity.
Live Extension: Lines extend dynamically to show potential future intersection points with price.
5. Signal Buy/Sell
Rational Buying/Selling: Utilizing estimator to create a volatility envelope.
Signal Accuracy: Generates "Buy" (Triangle Up) and "Sell" (Triangle Down) signals when price breaches the extreme boundaries of the envelope.
6. Zero-Lag Trend Following
Lag-Free Analysis: Features a Zero Lag EMA combined with volatility bands to identify trend shifts earlier than standard indicators.
Pullback Entries: Optional signals (▲/▼) that highlight high-probability entry points when price retraces to the mean during a strong trend.
How to Use
Trend Confirmation: Use the Zero-Lag Bands and EMA Ribbon to determine the primary market direction.
S/R Navigation: Look for price exhaustion near the Dynamic S/R lines.
MTF Confluence: Before entering a trade, check the RSI Dashboard to ensure the higher timeframes are not overextended.
Settings & Customization
This indicator is fully modular. Every section has its own dedicated settings group, allowing you to customize colors, sensitivity, and visibility to match your personal trading style.






















