Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx.
Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR:
Adapts its range definition to market volatility in real time
Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required)
Uses a stack of Laguerre Filters to detect genuine impulse vs. noise
Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility
Under the hood, this script also includes the full Signal Lynx Risk Management Engine:
A state machine that separates “Signal” from “Execution”
Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS)
Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data
We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish.
2. Quick Action Guide (TL;DR)
Best Timeframe:
4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper.
Best Assets:
Volatile instruments that still respect market structure:
Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges.
Strategy Type:
Volatility-Adaptive Trend Following + Impulse Detection.
It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles.
Key Feature:
Renko Emulation on time-based candles.
We mathematically model Renko Bricks and overlay them on your standard chart to define:
“Equilibrium” zones (inside the brick structure)
“Breakout / impulse” zones (when price AND the impulse line depart from the bricks)
Repainting:
Designed to be non-repainting on closed candles.
All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable.
Core Toggles & Filters:
Enable Longs and Shorts independently
Optional Weekend filter (block trades on Saturday/Sunday)
Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS
3. Detailed Report: How It Works
A. The Strategy Logic: Superior RBR
Superior RBR builds its entry signal from multiple mathematical layers working together.
1) Adaptive Lookback (Volatility Normalization)
Instead of a fixed 100-bar or 200-bar range, the script:
Computes ATR-based volatility over a user-defined period.
Normalizes that volatility relative to its recent min/max.
Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars).
High Volatility:
The lookback shrinks, so the system reacts faster to explosive moves.
Low Volatility:
The lookback expands, so the system sees a “bigger picture” and filters out chop.
All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window.
2) Range Construction & Quick Ranges
The engine constructs several nested ranges:
Outer Range:
rangeHighFinal – dynamic highest high
rangeLowFinal – dynamic lowest low
Inner Close Range:
rangeCloseHighFinal – highest close
rangeCloseLowFinal – lowest close
Quick Ranges:
“Half-length” variants of those, used to detect more responsive changes in structure and volatility.
These ranges define:
The macro box price is trading inside
Shorter-term “pressure zones” where price is coiling before expansion
3) Renko Emulation (The Bricks)
Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles:
A “brick size” is defined either:
As a standard percentage move, or
As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size
The engine tracks a base value and derives:
brickUpper – top of the emulated brick
brickLower – bottom of the emulated brick
When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates:
renkoDir = +2 when bricks are advancing upward
renkoDir = -2 when bricks are stepping downward
You can think of this as a synthetic Renko tape overlaid on time-based candles:
Inside the brick: equilibrium / consolidation
Breaking away from the brick: momentum / expansion
4) Impulse Tracking with Laguerre Filters
The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag.
Key filters include:
LagF_1 / LagF_W: Based on brick upper/lower baselines
LagF_Q: Based on HLCC4 (high + low + 2×close)/4
LagF_Y / LagF_P: Complex averages combining brick structures and range averages
LagF_V (Primary Impulse Line):
A smooth, high-level impulse line derived from a blend of the above plus the outer ranges
Conceptually:
When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway.
When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range.
5) Fib-Based Structure & Swaps
The system also layers in Fib levels derived from the adaptive ranges:
Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range
A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.)
These Fibs are used to:
Bucket price into structural zones (below 12, between 23–38, etc.)
Detect breakouts when price and Laguerre move beyond key Fib thresholds
Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met)
6) Adaptive SuperTrend with K-Means-Style Volatility Clustering
Under the hood, the script uses a small k-means-style clustering routine on ATR:
ATR is measured over a fixed period
The range of ATR values is split into Low, Medium, High volatility centroids
Current ATR is assigned to the nearest centroid (cluster)
From that, a SuperTrend variant (STK) is computed with dynamic sensitivity:
In quiet markets, SuperTrend can afford to be tighter
In wild markets, it widens appropriately to avoid constant whipsaw
This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes.
7) Final Baseline Signals (+2 / -2)
The “brain” of Superior RBR lives in the Baseline & Signal Generation block:
Two composite signals are built: B1 and B2:
They combine:
Fib breakouts
Renko direction (renkoDir)
Expansion direction (expansionQuickDir)
Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V)
They also factor in whether Fib structures are expanding or contracting.
A user toggle selects the “Baseline” signal:
finalSig = B2 (default) or B1 (alternate baseline)
finalSig is then filtered through the RM state machine and only when everything aligns, we emit:
+2 = Long / Buy signal
-2 = Short / Sell signal
0 = No new trade
Those +2 / -2 values are what feed the Risk Management Engine.
B. The Risk Management (RM) Engine
This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution.
Instead of firing orders directly on indicator conditions, we:
Convert the raw signal into a clean integer (Fin = +2 / -2 / 0)
Feed it into a Trade State Machine that understands:
Are we flat?
Are we in a long or short?
Are we in a closing sequence?
Should we permit re-entry now or wait?
Logic Injection / Template Concept:
The RM engine expects a simple integer:
+2 → Buy
-2 → Sell
Everything else (0) is “no new trade”
This makes the script a template:
You can remove the Superior RBR block
Drop in your own logic (RSI, MACD, price action, etc.)
As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions.
Aggressive vs Conservative Modes:
The input AgressiveRM (Aggressive RM) governs how we interpret signals:
Conservative Mode (Aggressive RM = false):
Uses a more filtered internal signal (AF) to open trades
Effectively waits for a clean trend flip / confirmation before new entries
Minimizes whipsaw at the cost of fewer trades
Aggressive Mode (Aggressive RM = true):
Reacts directly to the fresh alert (AO) pulses
Allows faster re-entries in the same direction after RM-based exits
Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call.
The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam.
C. Advanced Exit Protocols (Layered Defense)
The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers.
1) Hard Stop Loss
A classic percentage-based Stop Loss (SL) relative to the entry price.
Acts as a final “catastrophic protection” layer for unexpected moves.
2) Standard Trailing Stop
A percentage-based Trailing Stop (TS) that:
Activates only after price has moved a certain percentage in your favor (tsActivation)
Then trails price by a configurable percentage (ts)
This is a straightforward, battle-tested trailing mechanism.
3) Staged Take Profits (Three Levels)
The script supports three staged Take Profit levels (TP1, TP2, TP3):
Each stage has:
Activation percentage (how far price must move in your favor)
Trailing amount for that stage
Position percentage to close
Example setup:
TP1:
Activate at +10%
Trailing 5%
Close 10% of the position
TP2:
Activate at +20%
Trailing 10%
Close another 10%
TP3:
Activate at +30%
Trailing 5%
Close the remaining 80% (“runner”)
You can tailor these quantities for partial scaling out vs. letting a core position ride.
4) Advanced Adaptive Trailing Stop (AATS)
AATS is a sophisticated volatility- and structure-aware stop:
Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price:
Dungeon → Lower floors → Mid → Upper floors → Penthouse
These levels classify where current price sits within a long-term distribution.
Combines HSRS with Bollinger-style envelopes and EMAs to determine:
Is price extended far into the upper structure?
Is it compressed near the lower ranges?
From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be:
High Volatility / Penthouse areas:
Stop loosens to avoid getting wicked out by inevitable spikes.
Low Volatility / compressed structure:
Stop tightens to lock in and protect profit.
AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage.
5) RSI-Style Stop (RSIS)
On top of AATS, the script includes a RSI-like regime filter:
A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel.
Crosses above the top band and below the lower band change a directional state.
When enabled (UseRSIS):
RSIS can confirm or veto AATS closes:
For longs: A shift to bearish RSIS can force exits sooner.
For shorts: A shift to bullish RSIS can do the same.
This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens.
D. Repainting Protection
Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions.
This template is built with closed-candle realism in mind:
The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on:
Trailing stop updates
TP triggers
SL hits
RM state transitions
No security() lookahead or future-bar access is used.
This means:
Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation.
Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting.
4. For Developers & Modders
We strongly encourage you to mod this script.
To plug your own strategy into the RM engine:
Look for the section titled:
// BASELINE & SIGNAL GENERATION
You will see composite logic building B1 and B2, and then selecting:
baseSig = B2
altSig = B1
finalSig = sigSwap ? baseSig : altSig
You can replace the content used to generate baseSig / altSig with your own logic, for example:
RSI crosses
MACD histogram flips
Candle pattern detectors
External condition flags
Requirements are simple:
Your final logic must output:
2 → Buy signal
-2 → Sell signal
0 → No new trade
That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin.
Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel.
This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Penunjuk dan strategi
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note
The log-regression window LR length controls how long a long-term fair value path is estimated from historical data.
The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”.
When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as:
“Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.”
Guidelines:
In general, set the AHR window equal to or slightly longer than the LR window:
If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution.
If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history.
For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years).
For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years.
1. Price series & windows
Working timeframe: daily (1D).
Let the daily close of the current symbol on day t be P_t .
Main length parameters:
HM window: L_HM = maLen (default 200 days)
Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years)
AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years)
2. Harmonic moving average (HM)
On a window of length L_HM, define the harmonic mean:
HM_t = ^(-1)
Here eps = 1e-10 is used to avoid division by zero.
Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly.
3. Log-regression baseline (LR)
On a window of length L_LR, perform a linear regression on log price:
Over the last L_LR bars, build the series
x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit
x_k ≈ a + b * k.
The fitted value at the current index t is
log_P_hat_t = a + b * t.
Exponentiate to get the log-regression baseline:
LR_t = exp( log_P_hat_t ).
Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days.
4. HM-based AHR (valuation ratio)
At each time t, build an HM-based AHR (valuation multiple):
AHR_t = ( P_t / HM_t ) * ( P_t / LR_t )
Interpretation:
P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean).
P_t / LR_t : deviation of price from the long-term log-regression trend.
Multiplying them means:
if price is above both HM and LR, “expensiveness” is amplified;
if price is below both, “cheapness” is amplified.
Typical reading:
AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper.
AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive.
5. Empirical quantile thresholds (Opp / Risk)
On each new day, whenever AHR_t is valid, add it into a rolling array:
A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements)
On this empirical distribution, define two quantiles:
Opportunity quantile: q_opp (default 15%)
Risk quantile: q_risk (default 65%)
Using standard percentile computation (order statistics + linear interpolation), we get:
Opp threshold:
theta_opp = Percentile( A_t_window, q_opp )
Risk threshold:
theta_risk = Percentile( A_t_window, q_risk )
We also compute the percentile rank of the current AHR inside the same history:
q_now = PercentileRank( A_t_window, AHR_t ) ∈
This yields three valuation zones:
Opportunity zone: AHR_t <= theta_opp
(corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.)
Neutral zone: theta_opp < AHR_t < theta_risk
Risk zone: AHR_t >= theta_risk
(corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.)
All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity.
6. DCA simulation (lightweight, rolling window)
Given:
a daily budget B (input: budgetPerDay), and
a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years),
The script applies the following rule on each new day t:
If thresholds are unavailable or AHR_t > theta_risk
→ classify as Risk zone → buy = 0
If AHR_t <= theta_opp
→ classify as Opportunity zone → buy = 2B (double size)
Otherwise (Neutral zone)
→ buy = B (normal DCA)
Daily invested cash:
C_t ∈ {0, B, 2B}
Daily bought quantity:
DeltaQ_t = C_t / P_t
The script keeps rolling sums over the last H days:
Cumulative position:
Q_H = sum_{k=t-H+1..t} DeltaQ_k
Cumulative invested cash:
C_H = sum_{k=t-H+1..t} C_k
Current portfolio value:
PortVal_t = Q_H * P_t
Cumulative P&L:
PnL_t = PortVal_t - C_H
Active days:
number of days in the last H with C_k > 0.
These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
Super-AO Engine - Sentiment Ribbon - 11-29-25Super-AO Sentiment Ribbon by Signal Lynx
Overview:
The Super-AO Sentiment Ribbon is the visual companion to the Super-AO Strategy Suite.
While the main strategy handles the complex mathematics of entries and risk management, this tool provides a simple "Traffic Light" visual at the top of your chart to gauge the overall health of the market.
How It Works:
This indicator takes the core components of the Super-AO strategy (The SuperTrend and the Awesome Oscillator), calculates the spread between them and the current price, and generates a normalized "Sentiment Score."
Reading the Colors:
🟢 Lime / Green: Strong Upward Momentum. Ideally, you only want to take Longs here.
🟤 Olive / Yellow: Trend is weakening. Be careful with new entries, or consider taking profit.
⚪ Gray: The "Kill Zone." The market is chopping sideways. Automated strategies usually suffer here.
🟠 Orange / Red: Strong Downward Momentum. Ideally, you only want to take Shorts here.
Integration:
This script uses the same default inputs as our Super-AO Strategy Template and Alerts Template. Use them together to confirm your automated entries visually.
About Signal Lynx:
Free Scripts supporting Automation for the Night-Shift Nation 🌙
(www.signallynx.com)
VWAP & EMA9 Cross AlertAlerts the user when VWAP and EMA 9 cross. It gives a general direction of the market to help make decisions.
Previous & Current Day LevelsPine Script indicator that displays key price levels from the previous trading day and the current day's opening price on your chart.
What it displays:
The script draws four horizontal reference lines across your chart:
Previous Day High (PDH) - The highest price reached yesterday
Previous Day Low (PDL) - The lowest price reached yesterday
Previous Day Close (PDC) - Yesterday's closing price
Daily Open (DO) - Today's opening price
Key features:
Visual customization - You can adjust colors, line styles (solid/dashed/dotted), line thickness, and text size for all levels
Label positioning - Labels can be offset to the right of the current price action to keep them visible and out of the way
Flexible display - Choose between full descriptive labels ("Prev Day High") or shorthand abbreviations ("PDH")
Performance optimization - The script limits how far back lines are drawn (configurable up to 5000 bars) to prevent rendering issues
Clean presentation - Each level includes a solid horizontal line from its starting point, plus a dotted connector line extending to the label
Why traders use it:
These levels are important reference points for intraday traders. Previous day levels often act as support/resistance zones, and the daily open helps identify potential trend direction. The script automatically updates these levels each day, making it easy to track key price areas without manual drawing.
MFM - Light Context HUD (Free)Overview
MFM Light Context HUD is the free version of the Market Framework Model. It gives you a fast and clean view of the current market regime and phase without signals or chart noise. The HUD shows whether the asset is in a bullish or bearish environment and whether it is in a volatile, compression, drift, or neutral phase. This helps you read structure at a glance.
Asset availability
The free version works only on a selected list of five assets.
Supported symbols are
SP:SPX
TVC:GOLD
BINANCE:BTCUSD
BINANCE:ETHUSDT
OANDA:EURUSD
All other assets show a context banner only.
How it works
The free version uses fixed settings based on the original MFM model. It calculates the regime using a higher timeframe RSI ratio and identifies the current phase using simplified momentum conditions. The chart stays clean. Only a small HUD appears in the top corner. Full visual phases, ratio logic, signals, and auto tune are part of the paid version.
The free version shows the phase name only. It does not display colored phase zones on the chart.
Phase meaning
The Market Framework Model uses four structural phases to describe how the market behaves. These are not signals but context layers that show the underlying environment.
Volatile (Phase 1)
The market is in a fast, unstable or directional environment. Price can move aggressively with stronger momentum swings.
Compression (Phase 2)
The market is in a contracting state. Momentum slows and volatility decreases. This phase often appears before expansion, but it does not predict direction.
Drift (Phase 3)
The market moves in a more controlled, persistent manner. Trends are cleaner and volatility is lower compared to volatile phases.
No phase
No clear structural condition is active.
These phases describe market structure, not trade entries. They help you understand the conditions you are trading in.
Cross asset context
The Market Framework Model reads markets as a multi layer system. The full version includes cross asset analysis to show whether the asset is acting as a leader or lagger relative to its benchmark. The free version uses the same internal benchmark logic for regime detection but does not display the cross asset layer on the chart.
Cross asset structure is a core part of the MFM model and is fully available in the paid version.
Included in this free version
Higher timeframe regime
Current phase name
Clean chart output
Context only
Works on a selected set of assets
Not included
No forecast signals
No ratio leader or lagger logic
No MRM zones
No MPF timing
No auto tune
The full version contains all features of the complete MFM model.
Full version
You can find the full indicator here:
payhip.com
More information
Model details and documentation:
mfm.inratios.com
Disclaimer
The Market Framework Model (MFM) and all related materials are provided for educational and informational purposes only. Nothing in this publication, the indicator, or any associated charts should be interpreted as financial advice, investment recommendations, or trading signals. All examples, visualizations, and backtests are illustrative and based on historical data. They do not guarantee or imply any future performance. Financial markets involve risk, including the potential loss of capital, and users remain fully responsible for their own decisions. The author and Inratios© make no representations or warranties regarding the accuracy, completeness, or reliability of the information provided. MFM describes structural market context only and should not be used as the sole basis for trading or investment actions.
By using the MFM indicator or any related insights, you agree to these terms.
© 2025 Inratios. Market Framework Model (MFM) is protected via i-Depot (BOIP) – Ref. 155670. No financial advice.
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart:
SMA 50 – Short-term trend direction
SMA 150 – Medium-term trend direction
ATR – Market volatility (Average True Range)
Line colors and lengths can be customized in the settings.
The ATR is plotted on the same chart for quick volatility reference without needing a separate panel.
This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
sabaribuysellThe KIRA EMA 9–21 + VWAP indicator is a simple, clean intraday trading tool designed to capture high-probability trend entries using a fast EMA crossover confirmed by VWAP direction.
BUY CONDITION:
EMA 9 crosses above EMA 21 AND price trades above VWAP.
SELL CONDITION:
EMA 9 crosses below EMA 21 AND price trades below VWAP.
Signals are shown directly on the chart with clear BUY and SELL labels.
Background colors highlight trade zones:
• Green = Buy Zone
• Red = Sell Zone
• Grey = No-Trade Zone
This strategy works best on intraday timeframes:
1 minute to 15 minute charts.
Trend Breakout & Ratchet Stop System [Market Filter]Description:
This strategy implements a robust trend-following system designed to capture momentum moves while strictly managing downside risk through a multi-stage "Ratchet" exit mechanism and broad market filters.
It is designed for swing traders who want to align individual stock entries with the overall market direction.
How it works:
1. Market Regime Filters (The "Safety Check") Before taking any position, the strategy checks the health of the broader market to avoid "catching falling knives."
Broad Market Filter: By default, it checks NASDAQ:QQQ (adjustable). If the benchmark is trading below its SMA 200, the strategy assumes a Bear Market and suppresses all new long entries.
Volatility Filter (VIX): Uses CBOE:VIX to gauge fear. If the VIX is above a specific threshold (Default: 32), entries are paused, and existing positions can optionally be closed to preserve capital.
2. Entry Logic Entries are based on Momentum and Trend confirmation. A position is opened if filters are clear AND one of the following occurs:
Golden Cross: SMA 25 crosses over SMA 50.
SMA Breakouts: A "Three-Bar-Break" logic confirms a breakout above the SMA 50, 100, or 200 (price must establish itself above the moving average).
3. The "Ratchet" Exit System The exit logic evolves as the trade progresses, tightening risk like a ratchet:
Stage 0 (Initial Risk): Starts with a standard percentage Stop Loss from the entry price.
Stage 1 (Breakeven/Lock): Once the price rises by Profit Step 1 (e.g., +10%), the Stop Loss jumps to a tighter level and locks there. This secures the initial move.
Stage 2 (Trailing Mode): If the price continues to rise to Profit Step 2 (e.g., +15%), the Stop Loss converts into a dynamic Trailing Stop relative to the Highest High. This allows the trade to run as long as the trend persists.
Additional Exits:
Dead Cross: Closes position if SMA 25 crosses under SMA 50.
VIX Panic: Emergency exit if volatility spikes above the threshold.
Settings & Customization:
SMAs: Adjustable lengths for all Moving Averages.
Filters: Toggle Market/VIX filters on/off and choose your benchmark ticker (e.g., SPY or QQQ).
Risk Management: Fully customizable percentages for the Ratchet steps (Initial SL, Stage 1 Trigger, Trailing distance).
Kira EMA9 EMA21 VWAP ZONES//@version=5
indicator("Kira EMA9 EMA21 VWAP ZONES", overlay=true)
// === EMAs ===
ema9 = ta.ema(close, 9)
ema21 = ta.ema(close, 21)
// === VWAP ===
vwapLine = ta.vwap(hlc3)
// === CONDITIONS ===
isBuy = ema9 > ema21 and close > vwapLine
isSell = ema9 < ema21 and close < vwapLine
noTrade = not isBuy and not isSell
// === PLOTS ===
plot(ema9, color=color.green, linewidth=2)
plot(ema21, color=color.red, linewidth=2)
plot(vwapLine, color=color.blue, linewidth=2)
// === BACKGROUND ZONES ===
bgcolor(isBuy ? color.new(color.green, 85) :
isSell ? color.new(color.red, 85) :
color.new(color.gray, 85))
// === BUY / SELL ARROWS EVERY BAR ===
plotshape(isBuy, title="BUY", style=shape.triangleup,
location=location.belowbar,
color=color.green, size=size.tiny)
plotshape(isSell, title="SELL", style=shape.triangledown,
location=location.abovebar,
color=color.red, size=size.tiny)
// === ALERTS ===
alertcondition(isBuy, title="BUY ZONE ACTIVE",
message="BUY zone active on {{ticker}}")
alertcondition(isSell, title="SELL ZONE ACTIVE",
message="SELL zone active on {{ticker}}")
Local Watchlist Gauge v6The Local Watchlist Gauge displays a compact monitoring table for a user-defined list of symbols, showing their current trend status and performance relative to their 52-week high.
The indicator presents a table that simultaneously tracks multiple symbols and displays:
• Trend direction for each symbol, determined by whether the closing price is above or below a user-defined moving average
• Percentage distance from the 52-week high, providing a clear measure of recent performance relative to the yearly peak
Each symbol is displayed with:
Trend indicator showing whether the symbol is in an uptrend (above moving average) or downtrend (below moving average)
Distance from 52-week high expressed as a percentage, with color coding to indicate proximity to recent highs
Green indicates symbols trading within 5% of their 52-week high, orange indicates symbols between 5% and 20% below their 52-week high, and red indicates symbols trading more than 20% below their 52-week high.
The table provides an at-a-glance summary of the trend status and relative performance of all symbols in the specified watchlist, allowing users to quickly identify which instruments are maintaining trend strength near their recent highs and which have experienced significant pullbacks from their yearly peaks.
Dynamic Ratchet Trend Strategy [VIX Filter]Overview This strategy is a long-only trend-following system designed to capture major market moves while strictly managing downside risk through a state-machine based "Ratchet" exit logic. It incorporates a volatility filter using the CBOE VIX index to stay out of (or exit) the market during high-stress environments.
Key Features
1. Multi-Condition Entries The strategy looks for momentum shifts and trend breakouts using four Simple Moving Averages (25, 50, 100, 200).
Momentum Cross: SMA 25 crossover above SMA 50.
Trend Breakouts: A specific "3-Bar Breakout" logic above the SMA 50, 100, or 200. This requires the price to hold above the SMA for 3 consecutive bars after being below it, reducing false signals compared to simple closes.
2. VIX Volatility Filter Before entering any trade, the script checks the CBOE:VIX.
Filter: If VIX is above the threshold (default 32), new entries are blocked.
Panic Exit: If you are in a position and the VIX spikes above the threshold, the strategy executes an immediate "Panic Exit" to preserve capital during market crashes.
3. The "Ratchet" Exit System (3 Stages) Unlike a standard trailing stop, this strategy uses a 3-stage dynamic exit mechanism that tightens as profits grow:
Stage 0 (Initial Risk): Standard percentage-based Stop Loss from the entry price.
Stage 1 (The Lock-In): Triggered when profit hits 10% (configurable).
Unique Logic: Instead of trailing from the highest high, the stop is calculated based on the price at the exact moment this stage was triggered. It "steps up" once and holds, securing the initial move without being prematurely stopped out by normal volatility.
Stage 2 (Trailing Mode): Triggered when profit hits 15% (configurable).
The strategy switches to a classic Trailing Stop, following the percentage distance from the Highest High.
4. Emergency Backup A "Dead Cross" (SMA 25 crossing under SMA 50) acts as a final fail-safe to close positions if the trend reverses completely before hitting a stop.
Settings & Inputs
SMAs: Customize the lengths for all four moving averages.
VIX Filter: Toggle the filter on/off and set the panic threshold.
Exit Logic: Fully customizable percentages for Initial SL, Stage 1 Trigger/Distance, and Stage 2 Trigger/Trailing Distance.
Disclaimer This script is for educational purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Moving Average 13 Exponential//@version=6
indicator(title="Moving Average 13 Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true)
len = input.int(9, minval=1, title="Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window)
out = ta.ema(src, len)
plot(out, title="EMA", color=color.yellow, offset=offset)
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("None", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na
plot(smoothingMA, "EMA-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
Volumen con línea promedio//@version=6
indicator("Volumen con línea promedio", overlay=false)
periodo = input.int(20, title="Período de media")
volumen = volume
mediaVolumen = ta.sma(volumen, periodo)
colorBarra = volumen > mediaVolumen ? color.green : color.red
plot(volumen, title="Volumen", style=plot.style_columns, color=colorBarra)
plot(mediaVolumen, title="Línea promedio", color=color.orange, linewidth=2, style=plot.style_line)
Ratchet Exit Trend Strategy with VIX FilterThis strategy is a trend-following system designed specifically for volatile markets. Instead of focusing solely on the "perfect entry," this script emphasizes intelligent trade management using a custom **"Ratchet Exit System."**
Additionally, it integrates a volatility filter based on the CBOE Volatility Index (VIX) to minimize risk during extreme market phases.
### 🎯 The Concept: Ratchet Exit
The "Ratchet" system operates like a mechanical ratchet tool: the Stop Loss can only move in one direction (up, for long trades) and "locks" into specific stages. The goal is to give the trade "room to breathe" initially to avoid being stopped out by noise, then aggressively reduce risk as the trade moves into profit.
The exit logic moves through 3 distinct phases:
1. **Phase 0 (Initial Risk):** At the start of the trade, a wide Stop Loss is set (Default: 10%) to tolerate normal market volatility.
2. **Phase 1 (Risk Reduction):** Once the trade reaches a specific floating profit (Default: +10%), the Stop Loss is raised and "pinned" to a fixed value (Default: -8% from entry). This drastically reduces risk while keeping the trade alive.
3. **Phase 2 (Trailing Mode):** If the trend extends to a higher profit zone (Default: +15%), the Stop switches to a dynamic Trailing Mode. It follows the **Highest High** at a fixed percentage distance (Default: 8%).
### 🛡️ VIX Filter & Panic Exit
High volatility is often the enemy of trend-following strategies.
* **Entry Filter:** The system will not enter new positions if the VIX is above a user-defined threshold (Default: 32). This helps avoid entering "falling knife" markets.
* **Panic Exit:** If the VIX spikes above the threshold (32) while a trade is open, the position is closed immediately to protect capital (Emergency Exit).
### 📈 Entry Signals
The strategy trades **LONG only** and uses Simple Moving Averages (SMAs) to identify trends:
* **Golden Cross:** SMA 25 crosses over SMA 50.
* **3-Bar Breakouts:** A confirmation logic where the price must close above the SMA 50, 100, or 200 for 3 consecutive bars.
### ⚙️ Settings (Inputs)
All parameters are fully customizable via the settings menu:
* **SMAs:** Lengths for the trend indicators (Default: 25, 50, 100, 200).
* **VIX Filter:** Toggle the filter on/off and adjust the panic threshold.
* **Ratchet Settings:** Percentages for Initial Stop, Trigger Levels for Stages 1 & 2, and the Trailing Distance.
### ⚠️ Technical Note & Risk Warning
This script uses `request.security` to fetch VIX data. Please ensure you understand the risks associated with trading leveraged or volatile assets. Past performance is not indicative of future results.
MusaCandlePatternsLibrary "MusaCandlePatterns"
Patterns is a Japanese candlestick pattern recognition Library for developers. Functions here within detect viable setups in a variety of popular patterns. Please note some patterns are without filters such as comparisons to average candle sizing, or trend detection to allow the author more freedom.
doji(dojiSize, dojiWickSize)
Detects "Doji" candle patterns
Parameters:
dojiSize (float) : (float) The relationship of body to candle size (ie. body is 5% of total candle size). Default is 5.0 (5%)
dojiWickSize (float) : (float) Maximum wick size comparative to the opposite wick. (eg. 2 = bottom wick must be less than or equal to 2x the top wick). Default is 2
Returns: (series bool) True when pattern detected
dLab(showLabel, labelColor, textColor)
Produces "Doji" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
bullEngulf(maxRejectWick, mustEngulfWick)
Detects "Bullish Engulfing" candle patterns
Parameters:
maxRejectWick (float) : (float) Maximum rejection wick size.
The maximum wick size as a percentge of body size allowable for a top wick on the resolution candle of the pattern. 0.0 disables the filter.
eg. 50 allows a top wick half the size of the body. Default is 0% (Disables wick detection).
mustEngulfWick (bool) : (bool) input to only detect setups that close above the high prior effectively engulfing the candle in its entirety. Default is false
Returns: (series bool) True when pattern detected
bewLab(showLabel, labelColor, textColor)
Produces "Bullish Engulfing" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
bearEngulf(maxRejectWick, mustEngulfWick)
Detects "Bearish Engulfing" candle patterns
Parameters:
maxRejectWick (float) : (float) Maximum rejection wick size.
The maximum wick size as a percentge of body size allowable for a bottom wick on the resolution candle of the pattern. 0.0 disables the filter.
eg. 50 allows a botom wick half the size of the body. Default is 0% (Disables wick detection).
mustEngulfWick (bool) : (bool) Input to only detect setups that close below the low prior effectively engulfing the candle in its entirety. Default is false
Returns: (series bool) True when pattern detected
bebLab(showLabel, labelColor, textColor)
Produces "Bearish Engulfing" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
hammer(ratio, shadowPercent)
Detects "Hammer" candle patterns
Parameters:
ratio (float) : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.
shadowPercent (float) : (float) The maximum allowable top wick size as a percentage of body size. Default is 5%.
Returns: (series bool) True when pattern detected
hLab(showLabel, labelColor, textColor)
Produces "Hammer" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
star(ratio, shadowPercent)
Detects "Star" candle patterns
Parameters:
ratio (float) : (float) The relationship of body to candle size (ie. body is 33% of total candle size). Default is 33%.
shadowPercent (float) : (float) The maximum allowable bottom wick size as a percentage of body size. Default is 5%.
Returns: (series bool) True when pattern detected
ssLab(showLabel, labelColor, textColor)
Produces "Star" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
dragonflyDoji()
Detects "Dragonfly Doji" candle patterns
Returns: (series bool) True when pattern detected
ddLab(showLabel, labelColor, textColor)
Produces "Dragonfly Doji" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color)
Returns: (label) A label visible at the chart level intended for the title pattern
gravestoneDoji()
Detects "Gravestone Doji" candle patterns
Returns: (series bool) True when pattern detected
gdLab(showLabel, labelColor, textColor)
Produces "Gravestone Doji" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
tweezerBottom(closeUpperHalf)
Detects "Tweezer Bottom" candle patterns
Parameters:
closeUpperHalf (bool) : (bool) input to only detect setups that close above the mid-point of the candle prior increasing its bullish tendancy. Default is false
Returns: (series bool) True when pattern detected
tbLab(showLabel, labelColor, textColor)
Produces "Tweezer Bottom" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
tweezerTop(closeLowerHalf)
Detects "TweezerTop" candle patterns
Parameters:
closeLowerHalf (bool) : (bool) input to only detect setups that close below the mid-point of the candle prior increasing its bearish tendancy. Default is false
Returns: (series bool) True when pattern detected
ttLab(showLabel, labelColor, textColor)
Produces "TweezerTop" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
spinningTopBull(wickSize)
Detects "Bullish Spinning Top" candle patterns
Parameters:
wickSize (float) : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stwLab(showLabel, labelColor, textColor)
Produces "Bullish Spinning Top" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
spinningTopBear(wickSize)
Detects "Bearish Spinning Top" candle patterns
Parameters:
wickSize (float) : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stbLab(showLabel, labelColor, textColor)
Produces "Bearish Spinning Top" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
spinningTop(wickSize)
Detects "Spinning Top" candle patterns
Parameters:
wickSize (float) : (float) input to adjust detection of the size of the top wick/ bottom wick as a percent of total candle size. Default is 34%, which ensures the wicks are both larger than the body.
Returns: (series bool) True when pattern detected
stLab(showLabel, labelColor, textColor)
Produces "Spinning Top" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
morningStar()
Detects "Bullish Morning Star" candle patterns
Returns: (series bool) True when pattern detected
msLab(showLabel, labelColor, textColor)
Produces "Bullish Morning Star" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
eveningStar()
Detects "Bearish Evening Star" candle patterns
Returns: (series bool) True when pattern detected
esLab(showLabel, labelColor, textColor)
Produces "Bearish Evening Star" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
haramiBull()
Detects "Bullish Harami" candle patterns
Returns: (series bool) True when pattern detected
hwLab(showLabel, labelColor, textColor)
Produces "Bullish Harami" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
haramiBear()
Detects "Bearish Harami" candle patterns
Returns: (series bool) True when pattern detected
hbLab(showLabel, labelColor, textColor)
Produces "Bearish Harami" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
haramiBullCross()
Detects "Bullish Harami Cross" candle patterns
Returns: (series bool) True when pattern detected
hcwLab(showLabel, labelColor, textColor)
Produces "Bullish Harami Cross" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
haramiBearCross()
Detects "Bearish Harami Cross" candle patterns
Returns: (series bool) True when pattern detected
hcbLab(showLabel, labelColor, textColor)
Produces "Bearish Harami Cross" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color)
Returns: (label) A label visible at the chart level intended for the title pattern
marubullzu()
Detects "Bullish Marubozu" candle patterns
Returns: (series bool) True when pattern detected
mwLab(showLabel, labelColor, textColor)
Produces "Bullish Marubozu" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
marubearzu()
Detects "Bearish Marubozu" candle patterns
Returns: (series bool) True when pattern detected
mbLab(showLabel, labelColor, textColor)
Produces "Bearish Marubozu" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
abandonedBull()
Detects "Bullish Abandoned Baby" candle patterns
Returns: (series bool) True when pattern detected
abwLab(showLabel, labelColor, textColor)
Produces "Bullish Abandoned Baby" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
abandonedBear()
Detects "Bearish Abandoned Baby" candle patterns
Returns: (series bool) True when pattern detected
abbLab(showLabel, labelColor, textColor)
Produces "Bearish Abandoned Baby" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
piercing()
Detects "Piercing" candle patterns
Returns: (series bool) True when pattern detected
pLab(showLabel, labelColor, textColor)
Produces "Piercing" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
darkCloudCover()
Detects "Dark Cloud Cover" candle patterns
Returns: (series bool) True when pattern detected
dccLab(showLabel, labelColor, textColor)
Produces "Dark Cloud Cover" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
tasukiBull()
Detects "Upside Tasuki Gap" candle patterns
Returns: (series bool) True when pattern detected
utgLab(showLabel, labelColor, textColor)
Produces "Upside Tasuki Gap" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
tasukiBear()
Detects "Downside Tasuki Gap" candle patterns
Returns: (series bool) True when pattern detected
dtgLab(showLabel, labelColor, textColor)
Produces "Downside Tasuki Gap" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
risingThree()
Detects "Rising Three Methods" candle patterns
Returns: (series bool) True when pattern detected
rtmLab(showLabel, labelColor, textColor)
Produces "Rising Three Methods" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
fallingThree()
Detects "Falling Three Methods" candle patterns
Returns: (series bool) True when pattern detected
ftmLab(showLabel, labelColor, textColor)
Produces "Falling Three Methods" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
risingWindow()
Detects "Rising Window" candle patterns
Returns: (series bool) True when pattern detected
rwLab(showLabel, labelColor, textColor)
Produces "Rising Window" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
fallingWindow()
Detects "Falling Window" candle patterns
Returns: (series bool) True when pattern detected
fwLab(showLabel, labelColor, textColor)
Produces "Falling Window" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
kickingBull()
Detects "Bullish Kicking" candle patterns
Returns: (series bool) True when pattern detected
kwLab(showLabel, labelColor, textColor)
Produces "Bullish Kicking" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
kickingBear()
Detects "Bearish Kicking" candle patterns
Returns: (series bool) True when pattern detected
kbLab(showLabel, labelColor, textColor)
Produces "Bearish Kicking" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
lls(ratio)
Detects "Long Lower Shadow" candle patterns
Parameters:
ratio (float) : (float) A relationship of the lower wick to the overall candle size expressed as a percent. Default is 75%
Returns: (series bool) True when pattern detected
llsLab(showLabel, labelColor, textColor)
Produces "Long Lower Shadow" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
lus(ratio)
Detects "Long Upper Shadow" candle patterns
Parameters:
ratio (float) : (float) A relationship of the upper wick to the overall candle size expressed as a percent. Default is 75%
Returns: (series bool) True when pattern detected
lusLab(showLabel, labelColor, textColor)
Produces "Long Upper Shadow" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
bullNeck()
Detects "Bullish On Neck" candle patterns
Returns: (series bool) True when pattern detected
nwLab(showLabel, labelColor, textColor)
Produces "Bullish On Neck" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
bearNeck()
Detects "Bearish On Neck" candle patterns
Returns: (series bool) True when pattern detected
nbLab(showLabel, labelColor, textColor)
Produces "Bearish On Neck" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
soldiers(wickSize)
Detects "Three White Soldiers" candle patterns
Parameters:
wickSize (float) : (float) Maximum allowable top wick size throughout pattern expressed as a percent of total candle height. Default is 5%
Returns: (series bool) True when pattern detected
wsLab(showLabel, labelColor, textColor)
Produces "Three White Soldiers" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
crows(wickSize)
Detects "Three Black Crows" candle patterns
Parameters:
wickSize (float) : (float) Maximum allowable bottom wick size throughout pattern expressed as a percent of total candle height. Default is 5%
Returns: (series bool) True when pattern detected
bcLab(showLabel, labelColor, textColor)
Produces "Three Black Crows" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
triStarBull()
Detects "Bullish Tri-Star" candle patterns
Returns: (series bool) True when pattern detected
tswLab(showLabel, labelColor, textColor)
Produces "Bullish Tri-Star" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
triStarBear()
Detects "Bearish Tri-Star" candle patterns
Returns: (series bool) True when pattern detected
tsbLab(showLabel, labelColor, textColor)
Produces "Bearish Tri-Star" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
insideBar()
Detects "Inside Bar" candle patterns
Returns: (series bool) True when pattern detected
insLab(showLabel, labelColor, textColor)
Produces "Inside Bar" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
doubleInside()
Detects "Double Inside Bar" candle patterns
Returns: (series bool) True when pattern detected
dinLab(showLabel, labelColor, textColor)
Produces "Double Inside Bar" identifier label
Parameters:
showLabel (bool) : (series bool) Shows label when input is true. Default is false
labelColor (color) : (series color) Color of the label border and arrow
textColor (color) : (series color) Text color
Returns: (label) A label visible at the chart level intended for the title pattern
wrap(cond, barsBack, borderColor, bgColor)
Produces a box wrapping the highs and lows over the look back.
Parameters:
cond (bool) : (series bool) Condition under which to draw the box.
barsBack (int) : (series int) the number of bars back to begin drawing the box.
borderColor (color) : (series color) Color of the four borders. Optional. The default is `color.gray` with a 45% transparency.
bgColor (color)
Returns: (box) A box whom's top and bottom are above and below the highest and lowest points over the lookback
topWick()
Returns the top wick size of the current candle
Returns: (series float) A value equivelent to the distance from the top of the candle body to its high
bottomWick()
Returns the bottom wick size of the current candle
Returns: (series float) A value equivelent to the distance from the bottom of the candle body to its low
body()
Returns the body size of the current candle
Returns: (series float) A value equivelent to the distance between the top and the bottom of the candle body
highestBody()
Returns the highest body of the current candle
Returns: (series float) A value equivelent to the highest body, whether it is the open or the close
lowestBody()
Returns the lowest body of the current candle
Returns: (series float) A value equivelent to the highest body, whether it is the open or the close
barRange()
Returns the height of the current candle
Returns: (series float) A value equivelent to the distance between the high and the low of the candle
bodyPct()
Returns the body size as a percent
Returns: (series float) A value equivelent to the percentage of body size to the overall candle size
midBody()
Returns the price of the mid-point of the candle body
Returns: (series float) A value equivelent to the center point of the distance bewteen the body low and the body high
bodyupGap()
Returns true if there is a gap up between the real body of the current candle in relation to the candle prior
Returns: (series bool) True if there is a gap up and no overlap in the real bodies of the current candle and the preceding candle
bodydwnGap()
Returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) True if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
gapUp()
Returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) True if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
gapDwn()
Returns true if there is a gap down between the real body of the current candle in relation to the candle prior
Returns: (series bool) True if there is a gap down and no overlap in the real bodies of the current candle and the preceding candle
dojiBody()
Returns true if the candle body is a doji
Returns: (series bool) True if the candle body is a doji. Defined by a body that is 5% of total candle size
Kaufman Adaptive Moving Average + ART**Kaufman Adaptive Moving Average (fixed TF) + ATR Volatility Bands**
This script is a Pine Script v5 extension of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget).
It adds:
* a **fixed timeframe option** for KAMA
* a separate **ATR panel under the chart**
* **configurable ATR volatility levels** with dynamic coloring.
KAMA adapts its smoothing to market conditions: it speeds up in strong trends and slows down in choppy phases. Here, KAMA can be calculated on any timeframe (e.g. 1D) and overlaid on a lower-timeframe chart (e.g. 1H), so you can track higher-TF trend structure while trading intraday.
The ATR panel visualizes volatility in the same or a separate timeframe and highlights phases of high/low volatility based on user-defined thresholds.
---
### Features
**KAMA (on chart)**
* Standard KAMA parameters: `Length`, `Fast EMA Length`, `Slow EMA Length`, `Source`
* Input: **KAMA Timeframe**
* empty → uses chart timeframe
* any value (e.g. `60`, `240`, `D`, `W`) → calculates KAMA on that fixed TF and maps it to the chart
* Color-changing KAMA line:
* **green** when the selected-TF KAMA is rising
* **red** when it is falling
* Optional *Await Bar Confirmation* to avoid reacting to still-forming bars
* Built-in alert when the KAMA color changes (potential trend shift).
**ATR panel (separate window under the chart)**
* Own inputs: `Show ATR`, `ATR Length`
* **ATR Timeframe** input:
* empty → ATR uses the same TF as KAMA
* custom value → fully independent ATR timeframe
* Two user-defined volatility levels:
* `ATR High Vol Level` – threshold for **high volatility**
* `ATR Low Vol Level` – threshold for **low volatility**
* ATR line coloring:
* **red** when ATR > High Vol Level (high volatility regime)
* **green** when ATR < Low Vol Level (quiet market)
* **blue** in the normal range between the two levels.
---
### How to use
1. Add the script to your chart.
2. Choose a **KAMA Timeframe** (leave empty for chart TF, or set to a higher TF for multi-timeframe trend following).
3. Optionally set a different **ATR Timeframe** to monitor volatility on yet another TF.
4. Adjust `ATR High Vol Level` and `ATR Low Vol Level` to match the instrument and timeframe you trade.
5. Use:
* the **KAMA color changes** as trend / regime signals, and
* the **ATR colors & levels** to quickly see whether you’re trading in a low-, normal- or high-volatility environment.
This combination is designed to keep the chart itself clean (only KAMA on price) while giving you a dedicated volatility dashboard directly underneath.
Kira EMA 9-21 + VWAP Buy/Sell🔥 KIRA MOMENTUM SETUP – BUY & SELL SYSTEM
Simple • Powerful • Trend-Based
✅ BUY CONDITION 🟢
EMA 9 crosses ABOVE EMA 21
AND
Price closes ABOVE VWAP
🔴 SELL CONDITION
EMA 9 crosses BELOW EMA 21
AND
Price closes BELOW VWAP
🚫 NO TRADE ZONE
❌ EMAs tangled
❌ Price chopping around VWAP
🎯 BEST TIMEFRAMES
✅ 5-Minute
✅ 15-Minute
(Indices & highly liquid stocks)
⚠️ RISK RULE
• Buy SL ➝ Below recent swing low
• Sell SL ➝ Above recent swing high
• Risk per trade ≤ 1%
Yash RSI Bars - Multi Timeframersi time frame testing
Only bar coloring - No extra plots or lines
✅ Custom timeframe - Colors bars based on RSI from your selected timeframe
✅ White bars - When RSI is above overbought level (default 70)
✅ Yellow bars - When RSI is below oversold level (default 30)
✅ No color - When RSI is in neutral zone
Clean and simple! 🎯
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
