Sharpe Ratio [Alpha Extract]A sophisticated risk-adjusted return measurement system that calculates annualized Sharpe Ratio with dynamic color-coded visualization distinguishing return quality across positive and negative performance regimes. Utilizing rolling period calculations with smoothed moving average comparison, this indicator delivers institutional-grade performance assessment with overbought/oversold threshold detection for extreme risk-adjusted return conditions. The system's four-tier color classification combined with histogram fills and background highlighting provides comprehensive visual feedback on whether current returns justify their volatility risk across varying market cycles.
🔶 Advanced Sharpe Ratio Calculation Engine
Implements classic Sharpe Ratio methodology measuring mean daily return divided by return standard deviation with annualization factor for consistent interpretation. The system calculates daily percentage returns, computes rolling mean and standard deviation over configurable periods, applies square root of 365 scaling for annualized comparison, and generates unbounded ratio values where higher positive readings indicate superior risk-adjusted performance.
// Core Sharpe Ratio Framework
Daily_Return = close / close - 1
Mean_Return = ta.sma(Daily_Return, Period)
StdDev_Return = ta.stdev(Daily_Return, Period)
Sharpe_Ratio = (Mean_Return / StdDev_Return) * sqrt(365)
🔶 Dynamic Four-Tier Color Classification
Features sophisticated color logic distinguishing between strong positive returns (green), weakening positive returns (yellow), weakening negative returns (orange), and strong negative returns (red) based on relationship to smoothed average. The system compares current Sharpe against SMA-smoothed baseline, applying green when positive and accelerating, yellow when positive but decelerating, orange when negative but improving, and red when negative and deteriorating for nuanced regime assessment.
🔶 Smoothed Baseline Comparison Framework
Implements SMA smoothing of Sharpe Ratio with configurable period to establish momentum reference line for trend determination within risk-adjusted returns. The system calculates simple moving average of raw Sharpe values, uses this smoothed line as directional benchmark, and determines whether current risk-adjusted performance is strengthening or weakening relative to recent average for color classification logic.
🔶 Extreme Threshold Detection System
Provides overbought and oversold level identification with configurable upper and lower bounds marking exceptional risk-adjusted return extremes. The system defaults to +4.3 for overbought threshold (extremely favorable risk-return profile) and -2.3 for oversold threshold (severely unfavorable risk-return profile), applying dashed horizontal reference lines and background highlighting when Sharpe breaches these statistical extremes requiring attention.
🔶 Histogram Fill Visualization Architecture
Creates gradient-filled histogram between Sharpe Ratio line and zero baseline using dynamic color matching with 30% transparency for intuitive positive/negative return distinction. The system fills area above zero with bullish colors (green/yellow) and below zero with bearish colors (orange/red), providing immediate visual confirmation of whether returns are compensating for volatility risk or destroying risk-adjusted value.
🔶 Background Zone Highlighting Framework
Implements subtle background coloring when Sharpe enters extreme overbought or oversold zones, alerting traders to statistically significant risk-adjusted return conditions. The system applies semi-transparent red background when ratio exceeds +4.3 (exceptionally strong risk-adjusted returns potentially unsustainable) and green background when below -2.3 (severely poor risk-adjusted returns potentially reversionary), creating visual alerts without obscuring price action.
🔶 Annualization Methodology Integration
Utilizes standard square root of time scaling (sqrt(365)) to convert rolling period Sharpe calculations into annualized format for cross-temporal comparison. The system applies this mathematical transformation ensuring Sharpe values represent expected annual risk-adjusted returns regardless of calculation period length, enabling consistent interpretation whether using 100-day or 200-day rolling windows.
🔶 Zero-Line Reference System
Provides critical zero-line plot serving as boundary between positive risk-adjusted returns (capital allocation justified by return/risk profile) and negative risk-adjusted returns (strategy destroying value on risk-adjusted basis). The system emphasizes this threshold as decision point where values above zero suggest continuation while values below zero indicate reconsideration of exposure.
🔶 Momentum-Based Color
Transitions Implements intelligent color switching logic that considers both absolute Sharpe value and its momentum relative to smoothed average, creating four distinct regimes for granular performance assessment. The system enables identification of bullish acceleration (green), bullish deceleration (yellow), bearish improvement (orange), and bearish acceleration (red) for nuanced position management beyond simple positive/negative classification.
🔶 Configurable Period Optimization
Features adjustable calculation period and smoothing length enabling optimization across different trading timeframes and volatility regimes. The system defaults to 150-period calculation (approximately 6-7 months of daily data) with 30-period smoothing, but allows customization from short-term tactical assessment to long-term strategic evaluation based on investment horizon and strategy requirements.
🔶 Performance Optimization Framework
Employs efficient rolling calculations with streamlined daily return processing and optimized standard deviation computation for smooth real-time updates. The system includes minimal computational overhead through single-pass mean and variance calculations, enabling consistent performance across extended historical periods while maintaining accuracy of risk-adjusted return measurements.
This indicator delivers sophisticated risk-adjusted return analysis through classic Sharpe Ratio methodology with enhanced visual classification distinguishing return quality and momentum. Unlike simple return-focused indicators, Sharpe Ratio penalizes volatility ensuring traders evaluate whether returns justify the risk undertaken. The system's four-tier color coding, smoothed baseline comparison, and extreme threshold detection make it essential for portfolio managers and systematic traders seeking objective performance assessment beyond raw price gains. High positive Sharpe values indicate efficient return generation relative to volatility risk, while negative values signal value destruction on risk-adjusted basis requiring strategy reassessment. The indicator excels at identifying periods when risk-taking is rewarded (green zones) versus periods when volatility exceeds returns (red zones) across cryptocurrency, forex, and equity markets for optimal capital allocation decisions.
指標和策略
Weekday open ConnectorIndicator connecting open candles between 2 days of the week. For example if you want to see weekend price action, in setting you select Saturday and Monday. Connected lines are red if Saturday opened higher than Monday, green in opposite case.
Position Size FTWhy you should use this indicator:
It gives you the exact position size in seconds, based on your equity, your risk %, and your real stop location, so you don’t guess.
It keeps your risk consistent even when the stop is wider or tighter, so one “normal” trade can’t become a big loss.
It blocks stupid mistakes like reusing the last size, moving the stop, or oversizing when you feel confident.
It makes drawdown control automatic: drop from 1% to 0.5% or 0.25% and the tool enforces it without you negotiating with yourself.
This tool is your “no excuses” position sizer.
You tell it your account size and how much you’re willing to lose on one trade. Then, for every chart, it calculates the position size that matches your stop distance. So your risk stays the same even when the stop is wide or tight.
If you use it on every chart, you stop doing the two things that destroy accounts: guessing size and oversizing.
Account Equity ($)
Set this to your current account value. Update it at least once a week, or after a big win or loss. If this number is wrong, every size it prints will be wrong.
Risk per Trade (%)
This is the percent you are willing to lose if the stop gets hit.
My recommendation if you trade my system
0.25% if you’re new, or if you’re not consistent yet. This keeps you alive while you learn.
0.5% as your normal size when you’re trading well.
1% only when your account is at an all time high and the market is clean.
0.25% when you are in a drawdown (especially if you are down more than 10%) and the market feels messy.
Max Position Size (%)
This is a safety cap. Even if the math says you can take a huge position, the tool will limit it.
I recommend 25%.
It stops you from loading too much into one trade, especially on tight stops where position size can explode.
LOD/HOD Lookback Bars
This tells the tool which low or high to use for the stop reference.
Use 1 if you are using the current day Low of Day or High of Day.
Use 2 if you are using the previous day Low of Day or High of Day.
If you switch between those two in your strategy, you should switch this setting to match the setup. Otherwise the sizing will be off.
Table Position, Text Size, Text Color
This is just display.
Pick a corner that doesn’t block your chart.
Keep Text Size on Normal.
Use black text if your chart background is light, and white text if your background is dark.
My clean default setup
Account Equity = your real number
Risk per Trade = 0.5%
Max Position Size = 25%
Lookback Bars = 1 most of the time, 2 when the setup calls for previous day levels
Table Position = anywhere you like, keep it out of the way
The simple rule
If the tool is on the chart, sizing becomes automatic. If sizing is automatic, discipline gets easier. And if discipline gets easier, you stop donating money to the market.
Relative Strength Scatter PlotThis is a modication to the indicator ably coded by LOAMEX but with some minor modifications and uses Australian Stock Exchange indices instead of US. This makes it easier for those to use in other countries becasue it has the template for adding indices and the benchmark.
Refer to the LOAMEX indicator for information or the text in this open source pinescript.
The plot shows the relative strength of various indices to a benchmark index, in this case, the ASX XJO200. Indices or sectors located close to the top right hand quadrant are showing the best out performance and thus make up the best source to create your watchlist.
Similarly, you can put stocks in your portfolio into the indicator and see which ones are closest to the upper right of the plot. Those residing in the bottom left quadrant need to be pruned from your portfolio or watched more carefully with closer stop losses.
Strategy2.0 H4 Only + Volume FightStrategy2.0 H4 Only + Volume Fight is a trend-following indicator designed for H4 timeframe trading. It works consistently and correctly on any chart timeframe, while all calculations and signals remain strictly anchored to H4.
The indicator uses a three-layer entry filtering system. A trade is triggered only when all conditions are met simultaneously. The core idea is to enter the market only during confirmed trends and at the moment when real volume appears, avoiding flat markets and false moves.
The first condition is the trend direction defined by the main MACD (12, 26, 9) calculated on the H4 timeframe. Values above zero indicate a bullish trend, while values below zero indicate a bearish trend.
The second condition is momentum confirmation using a fast MACD (3, 7, 9), also calculated on H4. When the fast MACD moves against the main MACD, the market is considered to be in a preparation phase. Entry is allowed only when both MACDs are aligned in the same direction.
The third and key condition is the Volume Fight filter. This component analyzes the balance between bullish and bearish volume and highlights active and inactive market phases. Gray zones represent the absence of volume and market interest — trades are strictly forbidden in these areas. A signal appears only when the market exits a gray zone and volume confirms the movement.
Additionally, a liquidity filter based on 24-hour USD volume is used to exclude low-liquidity instruments. The volume is calculated strictly on the daily timeframe and does not depend on the current chart timeframe.
An optional correlation filter with a selected instrument (for example, BTC) is available to avoid excessive market dependency and duplicate exposure. Specific instruments can be excluded from correlation checks if needed.
All signals are strictly tied to the H4 timeframe. Switching to lower timeframes does not increase the number of signals. Repeated signals in the same direction are blocked until the main MACD changes its trend.
The indicator visually highlights market phases: green candles represent confirmed bullish trends, red candles represent confirmed bearish trends, and gray candles indicate the preparation phase. BUY and SELL signals appear on the next candle after confirmation, eliminating repainting.
This indicator is intended for swing and position trading and does not constitute financial advice.
SMA Cross Counter - MTF SmoothTitle Idea
SMA Cross Counter - MTF Smooth (Find the 50-Bar Sweet Spot)
Description
Overview
This indicator tracks and displays the number of bars elapsed since the current 20SMA crossed the Higher Timeframe (HTF) 20SMA. By quantifying the "age" of a trend, it is designed to help traders identify high-probability pullbacks with objective precision.
Strategy: The 50-Bar Sweet Spot
This script is built around a specific tactical observation:
The Target: A "One-Cushion Granville Setup" occurring approximately 50 bars after the crossover is often a high-probability "Sweet Spot." At this stage, the trend is usually well-established but still possesses significant momentum.
The Edge: By monitoring the counter in the bottom-right corner, you can move away from subjective "feel" and objectively judge the trend's maturity. It helps you avoid the high volatility of an early cross and the exhaustion risks of a late-stage trend (e.g., over 100 bars).
Key Features
Automatic MTF Selection The reference timeframe updates automatically as you switch charts.
1m chart → 5m SMA
5m chart → 30m (or 15m) SMA
15m chart → 1h SMA
Daily chart → Weekly SMA, and so on.
Smooth MTF Visualization Eliminates the "stepped/staircase" effect common in MTF indicators. It connects higher-TF data points with smooth, diagonal lines, maintaining a clean chart and showing the true slope of the trend.
Real-Time Bar Counter Resets to "0" at the exact moment of a crossover and increments by 1 with every new bar.
Settings
5m Chart Reference: Choose between 30m or 15m as the HTF source when trading on a 5m chart.
SMA Period: Defaults to 20, but fully adjustable to fit your specific strategy.
タイトル案
SMA Cross Counter - MTF Smooth (50本目のスイートスポット判定)
説明文（日本語）
概要
このインジケーターは、現在の20SMAが上位足の20SMAと交差してからの「経過バー数」をリアルタイムでカウントし、右下のテーブルに表示します。 単なるクロスの確認ではなく、トレンドの「経過時間」を数値化することで、押し目買い・戻り売りの精度を極限まで高めるために開発されました。
戦略：50本目のスイートスポット
本インジケーターは、以下のトレード理論をベースに設計されています。
狙い目: SMA同士がクロスしてから50本程度経過したタイミングでの「ワンクッショングランビル」は、トレンドの勢いが安定し、かつ伸び代が最も残されている**「スイートスポット」**となる可能性が高い。
メリット: 右下のカウンターを見るだけで、感覚に頼らず「今がトレンドの何合目か」を客観的に判断できます。クロス直後の不安定な時期や、100本を超えたトレンド終盤の失速リスクを避けるのに有効です。
主な機能
自動タイムフレーム選定 (Auto-MTF) チャートの時間軸を切り替えるだけで、表示中の足に合わせて最適な上位足を自動選択します。（例：5分足なら30分足SMA、15分足なら1時間足SMAなど）
滑らかな上位足ライン MTF特有の「階段状のギザギザ」を排除。上位足の確定値を直線で結ぶため、チャートを美しく保ちつつ、正確なトレンドの傾きを確認できます。
リアルタイム・カウンター SMAがクロスした瞬間に「0」へリセット。以降、1本ごとに加算されます。
設定項目
5分足チャート時の参照先: 上位足を「30分」にするか「15分」にするかを切り替え可能。
SMA期間: デフォルトは20。ご自身の手法に合わせて調整してください。
HTF Flip Close Levels, Daily Weekly Monthly TASHTF Flip Close Levels (D/W/M) — Support & Resistance Tool
This indicator automatically plots Daily, Weekly, and Monthly support & resistance levels based on higher-timeframe candle close behaviour.
🔹 What this tool does
The script detects HTF momentum flips using closed candles only:
Support is created when:
A red candle is followed by a green candle
The level is drawn at the close of the red candle
Resistance is created when:
A green candle is followed by a red candle
The level is drawn at the close of the green candle
This creates objective, rule-based horizontal levels derived purely from price behavior, not indicators.
🔹 Features
✅ Plots Daily, Weekly, and Monthly levels simultaneously
✅ Works on any timeframe (1m, 5m, 1H, Daily, Weekly, etc.)
✅ Keeps full historical levels, not just the most recent ones
✅ Optional auto-hide tapped levels (when price touches them)
✅ Tap detection:
Wick touch
or Close cross/touch
✅ Levels are always based on HTF candle closes, never wicks
✅ Designed to stay consistent across timeframe changes
🔹 How to use it (IMPORTANT)
This indicator:
❌ Does NOT predict market direction
❌ Does NOT generate buy/sell signals
❌ Does NOT tell you when to enter or exit
It is a context & confluence tool.
You should use these levels together with:
Market structure
Trend analysis
Volume / orderflow / CVD
Your own entry model
Your own risk management
Think of these levels as areas of interest, not automatic trade signals.
🔹 Best use cases
Confluence with:
Local support/resistance
VWAP / Anchored VWAP
Range highs/lows
Liquidity zones
Reversal or continuation patterns
Identifying:
HTF reaction zones
Decision points
Areas where other traders are likely watching
⚠️ Disclaimer
This indicator is a technical analysis tool only.
It is NOT financial advice.
It does NOT guarantee profits.
All trading decisions and risk are your responsibility.
Use it as part of a complete trading system, not as a standalone strategy.
PEGY RatioThe basic metrics that all indicators descend from are for each bar the Open, High, Low, Close and Volume where the Close is often noted as Price. Then the Price/Earnings ratio entered trading. Price/Earnings is often noted as P/E ratio or PE.
The first major formalisation and widespread use of the P/E ratio came in 1934, when Benjamin Graham and David Dodd introduced it in their landmark book "Security Analysis". Their work established the P/E ratio as a core tool in fundamental analysis and value investing.
Graham’s influence was profound: he used the P/E ratio to help investors judge whether a stock was overpriced or underpriced, and his teachings shaped generations of value investors, including Warren Buffett.
The P/E ratio evolved into modern variants like forward P/E and Shiller CAPE.
There’s no single P/E cutoff that definitively marks a “growth” or “income” stock, but investors commonly treat P/E below about 10–15 as value/income oriented and P/E above about 20–25 as growth oriented. It is important to watch the P/E trend. If the P/E is a low value and reducing in value, then the company may be failing, and it is not good to invest in.
P/E is a relative signal, not an absolute rule. A high P/E usually means the market expects above average future earnings growth; a low P/E often signals lower growth expectations, higher current yield, or elevated risk. Benchmarks vary by sector and cycle: what’s “high” for utilities is low for software. Historical market averages (e.g., S&P 500) help frame whether a multiple is elevated or depressed.
The next step was the PEG ratio which was first introduced in 1969 by Mario Farina, who described it in his book "A Beginner’s Guide to Successful Investing in the Stock Market".
The concept later gained widespread popularity thanks to Peter Lynch, who championed it in his 1989 bestseller "One Up on Wall Street", arguing that a “fairly priced” company tends to have a PEG of about 1. Over 1 is overpriced and below is a bargain.
Later the PEGY ratio, a variation of the PEG ratio that added dividend yield into the valuation came into prominence so that mature, dividend paying companies are treated “fairly” . The PEGY ratio emerged in the 1990s as analysts and portfolio managers began adapting the PEG ratio for dividend paying companies. The concept is a natural extension of Peter Lynch’s PEG logic: If growth matters, and dividends matter, combine them into one valuation metric.
PEGY (Price/Earnings Growth% and Dividend Yield) is a straightforward modification of the PEG ratio that adds dividend yield to the growth term so that mature, dividend paying companies aren’t penalized by low growth rates alone. The formula is typically written as:
PEGY=(Price/Earnings)/(Earnings growth %+Dividend yield%)
Peter Lynch (One Up on Wall Street, 1989) is the most cited printed source that describes a dividend adjusted PEG concept and applies it as a practical screening rule for investors. PEGY is in Chapter “Some Fabulous Numbers”.
If earnings are negative, then the PEGY ratio will be negative, and it is best to invest in companies that make money. That is, positive PEGY ratio.
The PEGY ratio can have different ratios depending upon whether historical data is used (Mario Farina preference) or whether forward looking earnings (Peter Lynch preference) is used in the calculations.
Enough for the history lesson. You can quickly go through your watchlist and determine which stocks have a PEGY Ratio from 0 to 1 and eliminate the others. Then whittle down that list to find stocks travelling from bottom left to upper right on the page. Use any other indicators on that reduced list that your tradng plan uses and there you have your list of stocks in which to invest.
STOCHRSI+WRsotch RSI indicator
WR indicator
2 in 1
use this indicator
we can see stoch RSI and WR% on 1 chart
stoch RSI above 0 , 0 to 100
WR% under 0, -100 to 0
if price on the uptrend
when stoch RSI below 20 , better buy
WR% below -80, better buy
if price is downtrend
when stoch RSI above 80 , better sell
WR% above -20, better sell
UTC+7 Time Highlight// // Input
// session1 = input.session("0600-0601", "Time Slot 1 (UTC+7)")
// session2 = input.session("0800-0801", "Time Slot 2 (UTC+7)")
[RoyalNeuron] Supertrend [Medusa v1.0]Hey everyone, 👋
This is Medusa Supertrend v1.0.
Proper Supertrend logic using ATR with trend continuation rules.
Optimized default settings for BTC 30 minute charts, but fully adjustable to you liking.
Optional BUY and SELL labels only when the trend actually flips
Soft trend highlighting so you can see regime shifts without blinding your chart
Quick way to use it:
Green Supertrend with bullish fill means bias stays long and you look for continuation setups
Red Supertrend with bearish fill means bias stays defensive or short.
BUY and SELL labels mark trend changes.
It works best when combined with momentum or volume tools like WidowMaker to time entries with the trend instead of fighting it.
Use it, break it, tell me what you’d improve. More Medusa iterations and free tools coming.
Cheers,
RoyalNeuron 👑
Supertrend, Trend, ATR, Directional Bias, Buy Sell, Bitcoin, BTC, Clean Charts. Free, Alerts
Real RSI/threshold = input.float(80, title = "rsi above")
// condition = rsi60 > threshold
// barcolor(condition ? color.purple : na)
// bgcolor(condition ? color.new(color.purple, 80) : na, force_overlay = true)
[CT] MoBo BandsThis script is the TradingView Pine Script version of MoBo Bands, the Momentum Breakout indicator, and the original creator credited in the code is NPR21, who also notes it was based on an original Thinkorswim concept and then modified and converted to Pine Script by NPR21.
At its core, MoBo Bands is a volatility envelope built from a simple moving average and standard deviation, but it’s not meant to be used like a normal Bollinger Band “touch = reversal” tool. It’s designed to identify when price has pushed far enough away from its recent average to qualify as a breakout regime, and then to keep you biased in that regime until a true opposite breakout occurs. The indicator calculates a midline using a simple moving average of your chosen price source over the selected length. It then measures how spread out price has been over that same lookback using standard deviation. From there it builds an upper and lower band by taking the midline and adding or subtracting a user-defined multiple of standard deviation. In this script those multipliers are “Num Dev Up” and “Num Dev Down.” They default to ±0.8, which is tighter than traditional Bollinger settings, meaning the bands are closer to price and the indicator is more willing to declare a breakout state. The “Displace” input simply shifts the plotted bands forward or backward by bars for visual alignment; functionally, the breakout comparisons are being made against the displaced band values, so if you use displacement you are intentionally changing where signals occur in time.
The key concept in MoBo is that it separates “where price is right now” from “what state we are in.” First it assigns a raw status called MoboStatus: if the close is above the upper band it becomes bullish breakout state, if the close is below the lower band it becomes bearish breakout state, and if the close is between the bands it is neutral. If the script stopped there, you’d only see signals on the exact bars that closed outside the bands. Instead, it adds a second layer called BreakStatus, which is a persistent regime variable. BreakStatus changes only when a true breakout happens, and it does not reset to neutral when price returns inside the bands. That is the entire purpose of the “recursion” line: once BreakStatus flips bullish, it stays bullish through the inside-band chop until a bearish breakout flips it the other way, and vice versa. This is why the band colors and the band fill behave the way they do. When BreakStatus is bullish, the bands plot green and the filled area between them is green. When BreakStatus is bearish, the bands plot red and the fill becomes red. If price is simply oscillating inside the bands, BreakStatus stays whatever it last was, which is the whole “stay with the breakout bias” philosophy.
Because of that design, the most straightforward way to trade it is to treat MoBo as a regime/bias indicator first, and an entry tool second. A bullish regime begins when you get a bullish breakout condition, meaning you had a close above the upper band and BreakStatus flips to bullish. In this script that flip is also where the “Break Out” arrow prints. That event is telling you volatility expansion has pushed price into an upside breakout state, so your default expectation becomes continuation or at least holding above the midline with higher odds of higher highs. A common execution approach is to take the breakout as your initial trigger, then use the band structure to manage the trade: if you want a more aggressive style, you enter on the breakout bar close or on the next bar if it confirms. If you want a more conservative style, you wait for the first pullback after the breakout and enter when price holds above the midline or reclaims the upper band area. Your risk can be framed in a few ways depending on instrument and timeframe: the most “indicator-pure” protective logic is that the bullish regime is invalidated only when price later breaks below the lower band and flips BreakStatus bearish. That is a very wide stop concept, but it reflects the indicator’s intent to ride trends. A tighter, more practical stop for active trading is to use the midline or a recent swing low as the risk point while still respecting the MoBo bias; the idea is you are using MoBo to keep you from fading the move, while your stop is based on structure rather than waiting for a full opposite breakout.
A bearish regime is the exact mirror. It begins when a close is below the lower band and BreakStatus flips bearish, which is when the red “Break Down” arrow prints. From that point, you treat rallies into the midline/band area as potential short opportunities as long as the regime remains bearish. More aggressive traders will short the initial breakdown; more conservative traders wait for a bounce that fails back below the midline or for a retest of the lower band zone. Exits can be handled either as “regime exits,” meaning you hold until BreakStatus flips the other way, or as “trade exits,” meaning you scale or exit into targets while staying aligned with the regime until it ends. On trend days, the regime exit can keep you in the move much longer than typical oscillators. On choppy days, a tighter risk plan is needed because a tight band setting can flip more often.
The candle coloring addition you asked for simply mirrors the fill state so you can read the regime without looking at the bands. When the fill is green (BreakStatus bullish), the candles are tinted green; when the fill is red (BreakStatus bearish), the candles are tinted red; when neither fill is active, it leaves the candles unchanged. This doesn’t change the logic or signals, it just makes the “state” visually obvious.
Where traders usually get the most out of MoBo is by using it in the context it was designed for: volatility expansion and trend participation. If you try to trade it like a mean-reversion Bollinger Band system, you’ll often do the opposite of what it’s signaling. Here, a close outside the band is not “overbought/oversold,” it’s the condition that defines a breakout regime. The best trades tend to come when the breakout occurs in alignment with a higher-timeframe trend or after a compression period, because the band break is then capturing a genuine shift in volatility and direction. If you want it to trigger fewer, higher-quality regimes, increase the length and/or increase the deviation multipliers, because that widens the envelope and demands a more significant move to flip state. If you want earlier, more frequent signals, reduce the length and/or reduce the multipliers, understanding you’ll also increase whipsaw risk.
MNQ 10R Scalper - FinalTop. Scalper. Strat 10r chart v1 ready set go
Top. Scalper. Strat 10r chart v1 ready set go
SDF,MKNASDYDFBCASGBFJNAS
Core Concept This is a Time-Based Range Breakout system. It monitors price action during a specific user-defined time window to establish a "High" and "Low" reference range. Once this window closes, these levels become the trigger points for potential trades.
Key Features
Validated Breakouts: The script doesn't just take any breakout. It requires a candle to close outside the range with specific momentum. It calculates whether the breakout is significant (e.g., at least 20% of the candle's body is outside the line) to filter out fake-outs.
Persistent Multi-Trade Memory (Smart Holding): This is the script's most advanced feature. Unlike standard indicators that overwrite old data when a new signal appears, this system uses a digital memory bank (Arrays).
It can track multiple trades simultaneously across different days.
If a trade is opened on Monday, it stays active in memory until its specific Target or Stop Loss is hit, even if new trades are taken on Tuesday or Wednesday.
Independent Trade Management: Every trade runs on its own "thread." Trade A can hit its Target while Trade B is still running. The script calculates the specific Entry, Stop Loss, and Take Profit for every single signal independently.
Performance Dashboard: A panel on the screen tracks the total performance for the current month, showing Wins, Losses, Accuracy Percentage, and a list of currently Active Trade IDs (e.g., "B#1, S#3") so you can see exactly what is running in the background.
Engulfing Breakout StructureEngulfing Breakout Structure (EBS)
" Identify High-Probability Market Structures, Not Just Patterns. "
The E ngulfing Breakout Structure (EBS) is a professional-grade analysis tool designed to filter market noise and identify the true origins of significant price movements. While standard Engulfing patterns occur frequently, many lead to "fakeouts" within a range. EBS solves this by treating an engulfing candle as a potential "structure" that is only validated once a decisive Break-away occurs.
How it Works: The EBS Logic
Unlike traditional indicators that plot signals immediately, EBS follows a strict confirmation process:
Structure Formation (Invisible): The script internally tracks "Candidate" engulfing candles.
Break-away Validation: The structure is only drawn on the chart after price aggressively breaks out of the engulfing range, accompanied by a Fair Value Gap (FVG).
Historical Anchoring: Once confirmed, the block is plotted back to its origin, highlighting the exact zone where the market imbalance was created.
Key Features
Break-away Filter: Eliminates low-probability signals by ensuring price has left the "zone of indecision."
Dynamic Structure Plotting: Automatically draws the supply/demand blocks that acted as the catalyst for the breakout.
Smart FVG Integration: Detects and highlights the gaps created during the breakout, providing additional confluence for entry.
EBS Break-away Confirmed: Triggered the moment a new structure is validated by a decisive price breakout. This alert signals that a new supply or demand zone has been established.
EBS Structure Tested (Mitigation): Triggered when price returns to touch a previously confirmed EBS block. This "Mitigation" often presents the highest risk-to-reward entry opportunity as it tests the origin of the breakout.
Trading Strategy
The Breakout (Aggressive): Enter as soon as the EBS block and FVG appear, following the momentum.
The Retest (Conservative): Wait for price to return and "mitigate" the EBS block. This retest of a confirmed breakout structure is a classic institutional entry pattern.
eBacktesting Learning: HTF CandleseBacktesting - Learning: HTF Candles brings higher-timeframe candles directly onto your current chart, so you can keep your bigger-picture context while executing on the lower timeframe.
Pick up to 4 timeframes (for example 15m / 30m / 1H / 4H) and the indicator will draw their candles neatly to the right of price. For each one you can choose to show the Current HTF candle (still forming) or the previously closed HTF candle, so you can train both “live context” and “closed-candle confirmation” workflows.
You can also enable an optional flip alert per timeframe. A “flip” happens when that HTF candle changes from bullish to bearish (or the other way around). This is great for spotting shifts in bias without staring at multiple charts.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Highlight > 0.5% Moves// ------ 1 ------ //
// threshold = input(0.3, title = "threshold%")
// //threshold = 0.3
// pctChange = ((close - open) / open) * 100
// //Define the condition (More than 0.5%)
// isBigMove = pctChange > threshold
// bgcolor(isBigMove ? color.new(color.green, 90) : na)
// barcolor(isBigMove ? color.new(color.green, 60) : na)
// plotshape(isBigMove, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
EURCHF Pro: 1H Trend + Prob + Sessions + Timer + SwingsEURCHF – Table Explanation (Calm & Precision)
EURCHF is a slow and controlled pair.
The table focuses on patience and precision.
🔹 Market Trend (1H)
If the trend is not clear → no trade
EURCHF dislikes choppy markets
👉 The table helps you stay out of bad conditions.
🔹 Session
Best time:
London session only
👉 LOW session = stay out.
🔹 Candle Time Left
Less critical than other pairs.
Still useful for final confirmation
👉 No need to rush.
🔹 Buy / Sell Probability
Best results at 60%+
Fewer trades, higher quality
👉 One clean trade is better than many weak ones.
🔹 RSI / Volume
RSI moves slowly
Weak volume = low continuation
🟢 Result:
A precision-focused table for patient traders.
Trend-ProE un trend basado en medias móviles de hull, 1 acelerada un 20% y otra normal de periodo mas largo
GBPJPY Pro: 1H Trend + Prob + Sessions + Timer + Swings📊 GBPJPY – Table Explanation (High Volatility Control)
GBPJPY is fast and volatile.
The table is designed to protect you before profit.
🔹 Market Trend (1H)
The most important field for this pair.
Trading against the trend is very risky
👉 Always follow the 1H trend.
🔹 Session
Best trading times:
London
London–New York Overlap
👉 Avoid trading outside these sessions.
🔹 Candle Time Left
Extremely important for GBPJPY.
Entering before candle close can be dangerous
👉 Always wait for confirmation.
🔹 Buy / Sell Probability
50%+ can be acceptable due to strong moves
“READY” status is more important than the number
👉 Quality over quantity.
🔹 RSI / Volume
RSI moves fast
Strong volume often precedes sharp moves
⚠️ Result:
A defensive table that helps avoid late or emotional entries.
