Excess Combo — First-Hour Excess + MTF Candles + Early ShiftExcess Combo — First-Hour Excess + MTF Candles + Early Shift
What it does
This indicator blends three ideas to flag high-quality inflection points on the 15-minute chart:
Module A — First-Hour Excess (intraday open 09:30–10:30):
Spots “excess” candles in the opening hour (bullish excess low / bearish excess high), with optional gap filters and size/close geometry checks.
Module B — MTF Candle Patterns (Pin/Engulf/Outside):
Detects momentum candles with ATR-aware size floors and session gating. Priority is Engulf → Outside → Pin.
Module C — Early Shift Labels (15m, Excess-only):
Prints early “Shift” triangles when structure flips:
Proximity rule: a new excess on one side forms within X% of Daily ATR of the opposite side’s recent excess average.
Close-cross rule: the excess bar closes beyond the latest opposite excess level.
Includes same-direction cooldown, optional cross-direction cooldown, and daily reset of cooldowns so each session starts fresh. Shift markers are plotted as triangle shapes so they stay glued to bars (won’t float when you pan/zoom).
Visuals
Gold triangles = 2+ confirmations across modules (consensus).
Green/Red triangles = individual Module A/B signals (when not in gold).
“Shift” triangles (green up / red down) = early structure flips from Module C.
All shapes anchor to the bar (location=belowbar/abovebar) to remain fixed when scaling the chart.
Key Inputs (high level)
Module A: gap requirement (percent or Daily ATR), min range ≥ ATR, min wick, close fraction, cooldown.
Module B: enable Pin/Engulf/Outside, ATR size floors per timeframe, RTH session gating, cooldown.
Module C:
Opposite-side lookback (N): average of last N opposite excess levels.
Distance threshold (%ADR): how close an excess must be to the opposite band to count early.
Extra buffer (ticks): small price padding.
Same-direction cooldown (bars): throttle repeated signals same way.
Cross-direction cooldown (bars): throttle flip-flop whipsaws.
Daily reset: cooldowns reset at each new trading day.
How to Use
Apply on a 15-minute chart.
Use Gold signals for higher-confidence moves and Shift labels to catch earlier momentum turns.
Tighten or loosen %ADR to control how early “Shift” triggers:
Smaller %ADR = earlier, more frequent;
Larger %ADR = stricter, fewer signals.
If you see rapid flip-flops, increase same-direction and/or cross-direction cooldowns.
Non-Repainting
Daily references (close/ATR) are pulled with lookahead_off.
Signals are calculated on the current timeframe’s bar close (or live if you enable it).
Shapes are plotted relative to the bar, so they don’t reposition during zoom/pan.
Notes & Tips
Module C uses only excess events (Module A first-hour + Module B Pin).
By default, the proximity rule uses average of last N opposite excesses; close-cross uses the latest opposite level for precision.
Want pure intraday context? Clear yesterday’s structure by enabling daily resets (cooldowns already reset daily; array reset can be added if desired).
Changelog (highlights)
Added early Shift detection (proximity + close-cross).
Added same-direction and cross-direction cooldowns with daily reset.
Shift markers converted to triangle shapes for anchor stability.
ATR/geometry safeguards and session gating refined.
Best for: intraday momentum traders who want fast structure cues (Shift) plus higher-conviction pattern/excess agreement (Gold).
指標和策略
Apex Edge Sentinel - Stop Loss HUDApex Edge – ATR Sentinel Stop Loss HUD
The Apex Edge – ATR Sentinel is a complete stop-loss intelligence system built as a clean, always-on HUD.
It delivers institutional-level risk guidance by calculating and displaying live ATR-based stop levels for both long and short trades at multiple risk tolerances.
Forget cluttered charts and repainting lines — Sentinel gives you a clear stop-loss reference panel that updates dynamically with every bar.
✅ Features
• Triple ATR Multipliers
User-defined (e.g. x1.5 / x2.0 / x2.5). Compare tight, medium, and wide stops instantly.
• Dual-Side SL Levels
Both Long and Short safe stop prices displayed side by side. No more guessing trend
bias.
• ATR Transparency
HUD shows ATR(length) so you always know the calculation basis. Default = 14, adjustable
to your style.
• ATR Regime Meter
Detects volatility conditions (LOW / NORMAL / HIGH) by comparing ATR to its SMA. Helps
you avoid over-tight stops in high-volatility markets.
• Tick-Aware Rounding
Stop levels auto-rounded to the instrument’s tick size (Gold = 0.10, FX = 0.0001, indices =
whole points).
Custom HUD Design
• Location: Top/Bottom, Left/Right
• Sizes: Compact / Medium / Large (desktop or mobile)
• Opacity control (25% default Apex styling)
How to Use
1. Load Sentinel on your chart.
2. Check the HUD:
• ATR(14): 2.6 → base volatility measure.
• x1.5 / x2.0 / x2.5 → instant SL levels for both long & short trades.
3. Before entering a trade → decide which multiplier matches your style (tight scalper vs wider swing).
4. Manually place your SL at the level displayed in the HUD.
Sentinel works as both:
• A pre-trade check (is ATR stop too wide for my RR?).
• A live risk compass (updated stop levels every bar).
Why Apex Sentinel?
Most ATR stop indicators clutter charts with lagging lines or repainting trails. Sentinel strips it back to what matters:
• The numbers.
• The risk levels.
• The context.
It’s a pure stop-loss HUD, designed for serious traders who want clarity, discipline, and instant reference points across any market or timeframe.
Notes
• This is a HUD-only system (no automatic SL line). Traders manually apply the SL level
shown in the panel.
• Defaults: ATR(14), multipliers 1.5 / 2.0 / 2.5. Adjust to your trading style.
• Best used on intraday pairs like XAUUSD, EURUSD, indices, but works universally.
Apex Edge Philosophy: Clean. Smart. Institutional.
No clutter. No gimmicks. Just precision tools for modern markets.
GOLD PRICES## 📖 How to Trade Levels
🔹 Daily, you will receive strong levels ready for trading.
🔹 Each level is an **entry zone** formed by two close prices.
---
### 🟢 Buy
* If the price is above the zone, then drops and touches it:
→ Wait for a clear bounce before entering a buy.
* **Target:** 20-30 pips.
* **Stop loss:** Only if a full half-hour candle closes below the zone.
---
### 🔴 Sell
* If the price is below the zone, then rises and touches it:
→ Wait for a downward bounce before entering a sell.
* **Target:** 20-30 pips.
* **Stop loss:** Only if a full half-hour candle closes above the zone.
---
### 🕒 Preferred Trading Times
* Best times to trade: **European and American sessions**.
* Avoid the Asian session as it is often weak.
---
### 💰 Capital Management
* Don't risk more than **2–3%** of your capital on a trade.
* It's best to use a fixed contract size appropriate to your balance.
* Be aware that some levels are very close, as the **spread** may affect your entry and targets.
---
### 🎯 Smart Exit Method
* Half of the trade can be closed at +15 pips, and the stop loss for the remaining trade can be moved to the entry (**Break Even**).
* This protects profits and minimizes losses.
---
### 📌 Practical Examples (without specific numbers)
* "If the price touches the zone and rebounds, the target is usually achieved quickly."
* "If the zone breaks with a strong close, we consider the level invalid and wait for a new one."
---
### 🔎 Technical Confirmation
* It is best to wait for a confirmation candle (a bounce or rejection zone) on the 15-minute or 30-minute timeframe.
* Do not enter directly upon touch unless there is clear confirmation.
---
### ⚠️ Disclaimer
All information presented here is **for educational and informational purposes only** and is not considered a buy or sell recommendation.
Trading in financial markets involves high risks that may result in the loss of your entire capital.
The final entry and exit decision is your sole responsibility.
📖 طريقة التداول بالمستويات
🔹 يوميًا تحصل على مستويات قوية جاهزة للتداول.
🔹 كل مستوى عبارة عن منطقة دخول مكوّنة من سعرين متقاربين.
🟢 الشراء (Buy)
إذا كان السعر فوق المنطقة، ثم نزل ولمسها:
→ ننتظر ارتداد واضح قبل الدخول شراء.
الهدف: 20 – 30 نقطة.
وقف الخسارة: فقط إذا أغلقت شمعة نصف ساعة كاملة تحت المنطقة.
🔴 البيع (Sell)
إذا كان السعر تحت المنطقة، ثم صعد ولمسها:
→ ننتظر ارتداد هابط قبل الدخول بيع.
الهدف: 20 – 30 نقطة.
وقف الخسارة: فقط إذا أغلقت شمعة نصف ساعة كاملة فوق المنطقة.
🕒 أوقات التداول المفضلة
أفضل الأوقات للتداول: الجلسة الأوروبية والأمريكية.
تجنّب الجلسة الآسيوية لأنها غالبًا ضعيفة الحركة.
💰 إدارة رأس المال
لا تخاطر بأكثر من 2–3% من رأس المال في الصفقة.
الأفضل استخدام حجم عقد ثابت ومناسب لرصيدك.
انتبه أن بعض المستويات قريبة جدًا، فـ السبريد (Spread) قد يؤثر على دخولك وأهدافك.
🎯 طريقة الخروج الذكي
يمكن إغلاق نصف الصفقة عند +15 نقطة، ونقل وقف الخسارة للباقي إلى الدخول (Break Even).
هذا يحمي الأرباح ويقلل الخسائر.
📌 أمثلة عملية (بدون أرقام محددة)
"إذا لمس السعر المنطقة وارتد، الهدف عادةً يتحقق سريعًا."
"إذا كسر المنطقة بإغلاق قوي، نعتبر المستوى لاغيًا وننتظر مستوى جديد."
🔎 التأكيد الفني
الأفضل انتظار شمعة تأكيد (ارتداد أو رفض منطقة) على إطار 15 دقيقة أو 30 دقيقة.
لا تدخل مباشرة عند اللمس إلا مع تأكيد واضح.
⚠️ إخلاء مسؤولية
جميع ما يُطرح هنا هو لأغراض تعليمية وتثقيفية فقط، ولا يُعتبر توصية بيع أو شراء.
التداول في الأسواق المالية يحتوي على مخاطر عالية قد تؤدي إلى خسارة رأس المال بالكامل.
القرار النهائي في الدخول والخروج مسؤوليتك الكاملة وحدك.
Première H4 du jour • Zone High/Low (NY)This Scrypt find the top and bot of the first day's candle, from your choosen timeframe
SatoshiFrame Elliott WaveAuto Elliott Wave Counter – Automatically detects and labels Elliott Waves on your chart. Simple, fast, and customizable for smarter market analysis.
RS vs IndexRelative Line (Ratio of Stock price vs INDEX)
0.75x Donchian channel default plotted on RS for RS 75 probable's
Simplified Wave Trend Overbought/OversoldThis is just a variation of the popular wave trend that I find to be nicer to look at.
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders
What it is
BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change.
Use it to:
• Detect emerging trends sooner without overreacting to noise.
• Filter mean-reversion vs continuation opportunities.
• Gate entries with a confidence score that reflects both strength and persistence of the move.
• Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself.
⸻
Why it’s different
• Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade.
• Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter.
• Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each.
• No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references.
• Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed.
⸻
What you see on the chart
• Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious.
• Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise.
• Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence.
• Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45).
• Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics.
⸻
How it works (under the hood)
1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules).
2. Per-bin features (computed every bar):
• RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1.
• Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift).
3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0.
4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies.
5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA.
Why it doesn’t repaint:
• No future references, no MTF resampling, fitness updates only on confirmed bars.
• All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally.
⸻
Signals & confidence
• Bullish bias: consensus ≥ bullThr (e.g., 55).
• Bearish bias: consensus ≤ bearThr (e.g., 45).
• Confidence (0–100):
• Distance score: how far consensus is from 50.
• Momentum score: how strong the recent change is versus its recent average.
• Combined into a single gate; start filtering entries at ≥60 for higher quality.
Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45.
⸻
Inputs you’ll actually tune
• Agents & horizons:
• N_agents (e.g., 64–128)
• lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing)
• numBins (e.g., 12–24)
• Weights & smoothing:
• wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto)
• deadBand (0.03–0.08)
• consSmooth (3–8)
• Thresholds & hygiene:
• bullThr/bearThr (55/45 default)
• cooldownBars to avoid signal spam
⸻
Playbooks (ready-to-use)
1) Breakout / Trend continuation
• Timeframe: 15m–1h for day/swing.
• Filter: Take longs only when consensus > 55 and confidence ≥ 60.
• Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints.
2) Mean reversion (fade)
• When: Sideways days or low-volatility clusters.
• Setup: Increase deadBand and consSmooth.
• Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50.
• Targets: The neutral zone (~50) as the first take-profit.
3) Multi-TF alignment
• Keep BioSwarm on 1H for bias, execute on 5–15m:
• Only take entries in the direction of the 1H consensus.
• Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan).
⸻
Integrations that work
• DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree.
• ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short).
• Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers.
⸻
Quick start
1. Drop the indicator on a 1H chart.
2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45.
3. Trade only when confidence ≥ 60.
4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits.
⸻
Non-repainting & safety notes
• No request.security(); no hidden lookahead.
• Bar-close confirmation for fitness and signals.
• All TA calls are unconditional (no “sometimes called” warnings).
• No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin.
⸻
Known limits & tips
• Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40.
• Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47.
• Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96).
• Compute load: Large N_agents × numBins is heavier; scale to your device.
⸻
Example recipes
EURUSD 1H (swing):
lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45
Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level.
SPY 15m (US session):
lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05
On trend days, stay with longs as long as consensus >55; add on shallow pullbacks.
BTC 1H (24/7):
Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals.
⸻
Final word
BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
My Engulfing Red=black And Green = Blue engulfing candle for bottom and top pic. blue candle at bottom can reverse trend and blue candle at top can can do same
Body-Based Inside/Outside Bars (wicks excluded)This indicator shows inside/outside bars EXCLUDING the wicks. The yellow vertical line indicates an inside bar (body only) and the blue vertical line indicates outside bars (candle body only).
ASX Historical Price Projection [360 Days Auto]The ASX Price Projection indicator is a forecasting tool that projects future price movement based on historical price action and user-defined parameters. Inspired by the cyclical nature of markets, this tool helps traders visualize how price could behave in the future — not with certainty, but as a modeled possibility based on past behavior patterns.
What It Does:
This tool replicates the price action from a chosen historical period and projects it into the future, optionally applying a drift factor (growth or contraction). This projection is visualized directly on the chart, helping traders anticipate potential future price paths based on recognizable past behavior.
How It Works:
The indicator automatically uses the most recent 360 bars of historical data as the projection template. This is fixed and not user-selectable.
The selected price segment is replicated and extended into the future to simulate a possible price path.
A Drift Factor (Growth Multiplier) can be applied to simulate bullish (positive) or bearish (negative) price drift.
An Area Width parameter defines how wide the projection zone appears around the forecast line, helping to visualize uncertainty or price range tolerance.
The projected path and its surrounding band are plotted forward from the current bar.
Why It’s Unique:
This script offers a simple yet powerful way to model potential future price action based on automatic historical pattern detection:
No manual selection required — the last 360 bars are always used.
The Drift Factor allows scenario testing for growth or decline.
Area Width gives a realistic band around the projected path.
Designed for visual modeling and hypothetical exploration — not predictive accuracy.
How to Use:
Load the indicator on any chart.
The system automatically pulls the last 360 bars to generate the projection.
Adjust the Drift Factor to simulate optimistic or pessimistic market scenarios.
Set the Area Width to control the visual range around the projected line.
Use the forecast to explore how price might evolve under similar conditions.
MSFusion- MultiScoreFusionThis Pine Script strategy, MSFusion - MultiScoreFusion, combines Ichimoku components and Hull Moving Average (HMA) signals to generate a composite score for each bar.
It evaluates several conditions—such as price crossing above HMA55, Tenkan and Kijun lines, and price position relative to the Ichimoku cloud—and assigns scores to each.
The script displays a label with the total score and a tooltip listing the contributing conditions when a strong bullish signal is detected. This approach helps traders quickly assess market momentum and trend strength using multiple technical criteria.
Daniel.Yer BB EntryMy BB entry strategy.
need to improve a little the code, but for start, its look very good.
also need to check the statistic in 3 and 5 min range.
Great Job :)
VWAP + RSI Strategytesting this method, based on RSI combine with Vwap
there is a buy and sell alert, if you like pls comment it, this is a simple method that can surely adapt to any assets,
KA_anualKA Anual
This indicator displays the annual opening price and projected percentage levels above and below it. It helps traders quickly identify whether the market is trading higher or lower relative to the yearly open, providing a clear view of long-term bias and major reference points throughout the year.
Call and Put Previous Day high and Low in Sigle StrikeCall and Put Previous Day high and Low in Sigle Strike option Strike.
You need to use only for Option Contract Strike.
It is designed to help options traders quickly identify important price zones without having to fetch or calculate them manually.
Mandatory to Input expiry like. YYMMDD
Mandatory to Input Strike like. 25350
✨ Key Features:
• Automatically requests previous day High/Low for CE and PE of the chosen strike.
• Full-width horizontal lines for clear visibility across the entire chart.
• Configurable appearance: dashed/solid lines, custom width, and label placement (left/right).
• Optional manual level input for custom support/resistance marking.
• Debug mode available to show the tickers and requested values.
⚙️ How to Use:
1. Choose the underlying root (e.g., NIFTY), expiry (YYMMDD), and strike price.
2. Select whether you want to show CE, PE, or both.
3. Adjust label offset to position tags near the chart’s right edge.
4. Use the manual level input if you want to mark an additional reference line.
💡 Why it’s useful:
Option traders often rely on previous day’s option Highs and Lows as intraday reference zones for support, resistance, and breakout levels. This script makes those levels instantly visible and consistently updated, saving time and reducing manual charting errors.
📌 Notes:
• Works on any timeframe chart of the underlying.
• For best use, apply on the underlying index/stock chart, not on the option itself.
• This script does not generate trading signals or make predictions; it provides levels for reference.
Mekayl's Session Zones//@version=5
indicator("Mekayl's Session zones", overlay=true, max_boxes_count=200)
// --- Colors
asiaFill = color.new(#3b3333, 80)
preLdnFill = color.new(#292323, 80)
ldnFill = color.new(#242222, 80)
preNyFill = color.new(#443322, 80)
nyFill = color.new(#664422, 80)
asiaBorder = color.new(#4d718f, 0)
preLdnBorder = color.new(#00897B, 0)
ldnBorder = color.new(#B2EBF2, 0)
preNyBorder = color.new(#FFA500, 0)
nyBorder = color.new(#FF8C00, 0)
// --- Sessions
asia_sess = "0100-0600"
preldn_sess = "0600-0800"
ldn_sess = "0800-1200"
preNY_sess = "1200-1300"
ny_sess = "1300-1700"
tz = "Europe/London"
// --- Variables for boxes & labels
var box asia_box = na
var label asia_label = na
var box pre_box = na
var label pre_label = na
var box ldn_box = na
var label ldn_label = na
var box preNY_box = na
var label preNY_label = na
var box ny_box = na
var label ny_label = na
// --- Function to get horizontal center above box
f_label_xy(b) =>
x = (box.get_left(b) + box.get_right(b)) / 2
y = box.get_top(b) + 3 * syminfo.mintick
// --- Asia box
asia_in = not na(time(timeframe.period, asia_sess, tz))
if asia_in
if na(asia_box)
asia_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=asiaFill, border_color=asiaBorder, border_width=2)
= f_label_xy(asia_box)
asia_label := label.new(x, y, "asia", style=label.style_none, textcolor=color.new(asiaBorder,0), size=size.normal)
else
box.set_right(asia_box, bar_index)
box.set_top(asia_box, math.max(box.get_top(asia_box), high))
box.set_bottom(asia_box, math.min(box.get_bottom(asia_box), low))
= f_label_xy(asia_box)
label.set_xy(asia_label, x, y)
else
if not na(asia_box)
box.set_right(asia_box, bar_index)
asia_box := na
asia_label := na
// --- Pre-London box
pre_in = not na(time(timeframe.period, preldn_sess, tz))
if pre_in
if na(pre_box)
pre_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=preLdnFill, border_color=preLdnBorder, border_width=2)
= f_label_xy(pre_box)
pre_label := label.new(x, y, "pre_ldn", style=label.style_none, textcolor=color.new(preLdnBorder,0), size=size.normal)
else
box.set_right(pre_box, bar_index)
box.set_top(pre_box, math.max(box.get_top(pre_box), high))
box.set_bottom(pre_box, math.min(box.get_bottom(pre_box), low))
= f_label_xy(pre_box)
label.set_xy(pre_label, x, y)
else
if not na(pre_box)
box.set_right(pre_box, bar_index)
pre_box := na
pre_label := na
// --- London box
ldn_in = not na(time(timeframe.period, ldn_sess, tz))
if ldn_in
if na(ldn_box)
ldn_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=ldnFill, border_color=ldnBorder, border_width=2)
= f_label_xy(ldn_box)
ldn_label := label.new(x, y, "ldn", style=label.style_none, textcolor=color.new(ldnBorder,0), size=size.normal)
else
box.set_right(ldn_box, bar_index)
box.set_top(ldn_box, math.max(box.get_top(ldn_box), high))
box.set_bottom(ldn_box, math.min(box.get_bottom(ldn_box), low))
= f_label_xy(ldn_box)
label.set_xy(ldn_label, x, y)
else
if not na(ldn_box)
box.set_right(ldn_box, bar_index)
ldn_box := na
ldn_label := na
// --- Pre-New York box
preNY_in = not na(time(timeframe.period, preNY_sess, tz))
if preNY_in
if na(preNY_box)
preNY_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=preNyFill, border_color=preNyBorder, border_width=2)
= f_label_xy(preNY_box)
preNY_label := label.new(x, y, "pre-ny", style=label.style_none, textcolor=color.new(preNyBorder,0), size=size.normal)
else
box.set_right(preNY_box, bar_index)
box.set_top(preNY_box, math.max(box.get_top(preNY_box), high))
box.set_bottom(preNY_box, math.min(box.get_bottom(preNY_box), low))
= f_label_xy(preNY_box)
label.set_xy(preNY_label, x, y)
else
if not na(preNY_box)
box.set_right(preNY_box, bar_index)
preNY_box := na
preNY_label := na
// --- New York box
ny_in = not na(time(timeframe.period, ny_sess, tz))
if ny_in
if na(ny_box)
ny_box := box.new(left=bar_index, top=high, right=bar_index, bottom=low, bgcolor=nyFill, border_color=nyBorder, border_width=2)
= f_label_xy(ny_box)
ny_label := label.new(x, y, "ny", style=label.style_none, textcolor=color.new(nyBorder,0), size=size.normal)
else
box.set_right(ny_box, bar_index)
box.set_top(ny_box, math.max(box.get_top(ny_box), high))
box.set_bottom(ny_box, math.min(box.get_bottom(ny_box), low))
= f_label_xy(ny_box)
label.set_xy(ny_label, x, y)
else
if not na(ny_box)
box.set_right(ny_box, bar_index)
ny_box := na
ny_label := na
KA Weekly Open (Apertura Semanal)KA Weekly Open (Current Week Only)
This indicator automatically plots a horizontal line at the weekly opening price on your chart.
The line updates each week with the new weekly open.
Historical weekly lines remain fixed (not extended).
The current week’s line extends to the left, and the price label is shown on the right side of the chart, near the price scale.
You can adjust the label’s offset from the scale using the input settings.
Slingshot System By Dusty InvestmentsSlingshot System by Dusty Investments
What it is
A trend-following pullback system designed to time entries inside an established trend using a two-EMA “cloud” plus a Stochastic-RSI K oscillator.
It's the improved version of this script:
It plots:
An EMA cloud (trend and pullback filter)
Long/Short setup markers
“TAKE PROFIT” markers based on the oscillator
Core building blocks
Trend filter (EMA Cloud)
Fast EMA vs Slow EMA
Uptrend: Fast EMA > Slow EMA
Downtrend: Fast EMA < Slow EMA
The area between the two EMAs is filled (the “cloud”).
Cloud touch
The system requires price to touch/pierce the cloud with a small tolerance (configurable) to qualify a pullback.
Oscillator
K is a smoothed Stochastic of RSI (StochRSI K).
Oversold/Overbought levels default to 20/80, with a small tolerance kTol to avoid edge flicker.
Long logic (pullbacks within uptrend)
Purpose: Catch a second, “higher” dip during an uptrend.
Steps:
Candidate V1: While in uptrend, if K ≤ Oversold and price touches the EMA cloud, a V1 candidate is stored (the first dip).
Deal lock: When K later reaches ≥ Overbought in uptrend, the last V1 candidate is “locked in” as V1 for this cycle.
V2 search: After the lock, if another pullback appears (still in uptrend, K ≤ Oversold, price touching the cloud) and the low stays strictly above V1’s low, the script starts searching for the best V2 low (the lowest low of this second dip that remains above V1’s low).
Long signal: When K exits the oversold area, if a valid V2 was found above V1’s low, the indicator places a LONG label at that V2 low.
Take profit for Long: The “TAKE PROFIT” marker is shown when K crosses up through the Overbought level (≥ 80 by default).
Short logic (pullbacks within downtrend)
Purpose: Catch lower‑high pullbacks during a downtrend. The workflow is explicit and labeled:
D1 (first anchor): In downtrend, when price touches the cloud and K ≥ Overbought, mark D1 (the first high).
Valley: The first time K reaches ≤ Oversold after D1.
D2 (setup high): After the valley, the first bar that again touches the cloud with K ≥ Overbought and makes a strict Lower High vs D1 becomes D2. This opens a “window.”
Signal (live): From D2 until confirmation, the Signal marker follows the most recent swing high that forms on downtrend bars. It never tracks uptrend bars.
Confirmation: The first time K reaches ≤ Oversold after D2, the Signal is fixed at the last tracked high. From here the system waits for TP.
Take profit for Short: The “TAKE PROFIT” marker is shown when K crosses back above the Overbought level (≥ 80 by default).
Chaining (New D1): At TP, the prior D2 is promoted to “New D1,” allowing the next cycle to form if conditions repeat (D1 → Valley → D2).
What the labels mean
LONG: A validated long setup at the V2 low (second dip above the first dip’s low) within an uptrend.
SHORT: The live Short entry marker that moves to the latest downtrend swing high between D2 and confirmation; it gets fixed when K hits ≤ Oversold.
TAKE PROFIT: Suggestive exit markers tied to the K oscillator (Long TP when K crosses up 80; Short TP when K crosses up 80 after a Short confirmation).
Strict constraints baked in
No signals against the trend
Fast EMA / Slow EMA periods (trend and cloud)
RSI period for the StochRSI, Stochastic period, and K smoothing
Oversold/Overbought levels (defaults 20/80)
Cloud touch tolerance (percent)
kTol: tolerance around 20/80 thresholds for K
How to use it
Pick your market and use the 4H timeframe since you get the best results this way.
Trade with the trend:
Uptrend: Watch for LONG markers (V1 then V2 higher‑low behavior).
Downtrend: Watch the D1 → Valley → D2 sequence. The Signal marker appears after D2 and is fixed at confirmation; TP comes on K > 80.
Calibrate touchTolPct and kTol per symbol/timeframe to match how tightly you want to require cloud touches and K thresholds.
Risk management is up to you. The indicator outputs entries and TP suggestions; it does not set stops.
Notes
Signals confirm at bar close. During a Short window, the live Signal may move to newer downtrend highs; once confirmed, it becomes fixed.
The LONG side is symmetrical in spirit (pullback‑then‑higher‑low in uptrend), but naming uses V1/V2 instead of D1/D2.
Golden Cross Master Filter by Carlos ChavezForget noisy Golden/Death Cross signals.
This is the **Golden Cross Master Filter** – built for traders who demand institutional-level confirmation.
✅ Exact EMA cross points with circle markers
✅ ATR / ADX / DI+ / DI- / Volume filters
✅ Gap% detection
✅ Visual OK/X dashboard
✅ Instant BUY/SELL labels & ready-to-use alerts
Cut the noise. Trade only the strongest crosses. 🚀
Golden Cross Master Filter is a professional tool to detect Golden and Death Crosses with institutional-grade filtering.
🚀 Features:
- ✅ ATR / ADX / DI+/DI- / Volume conditions
- ✅ Gap% detection (daily gap between yesterday’s close and today’s open)
- ✅ Visual dashboard with OK/X status
- ✅ Exact circle markers at EMA cross points
- ✅ Ready-to-use BUY/SELL labels when filters are confirmed
- ✅ Built-in alerts for easy automation
This indicator is designed for intraday and swing traders who rely on EMA crosses but want to eliminate false signals.
It works across multiple timeframes (10m, 1h, 4h, Daily) and adapts to different trading styles.
Whether you trade CALLs/PUTs or just want stronger confirmation for Golden/Death Crosses, this filter helps you focus only on high-probability setups.
Super AsymmetrySuper Asymmetry (Inspired by Bull Alpha) - High Risk-Reward Trading System
A precision trading indicator designed to capture asymmetric profit opportunities with minimal risk exposure. This system prioritizes quality over quantity, targeting 1:5+ risk-reward ratios while accepting a lower win rate (~20%).
Key Features:
Automated breakeven protection at 1:5 RR
Dynamic stop-loss placement minimizing initial risk
CCI-based re-entry logic for stopped-out positions
Multi-timeframe trend alignment (4H/Daily)
Adaptive Kalman filtering with volatility-based smoothing
Trading Philosophy:
Super Asymmetry employs a "lose small, win big" approach. With typical win rates around 20%, this system requires strict position sizing discipline. Use fixed-risk strategy: allocate the same dollar amount per trade regardless of risk percentage. Lower risk signals automatically receive larger position sizes, while higher risk signals get smaller positions.
Risk Management:
Initial risk typically 0.5-1% per signal
Auto-moves to breakeven after 5x profit
Trailing exit only after target achievement
Maximum 2 re-entries per zone
This is a patience-based system designed for traders comfortable with multiple small losses in exchange for occasional large wins that drive overall profitability.
MTF EMA Smooth Indicator By : KaizenotradingPHThis indicator script can display three different timeframe MTF EMA indicators simultaneously. The special thing of this script is that it has smoothing feature that can smooth the MTF EMA but only in minutes and hours timeframe (script limitation). You can enable the anti repainting as well which reference the previous bar. These features are useful for customize strategies scripts to avoid repainting. Additionally, this script have customizable length for the three MTF EMA indicators.
Дни недели и торговые сесииIndicator for visual analysis by trading sessions and days.
Индикатор для наглядного анализа по торговым сесиям и дням.