Sinyal Dominasi Volatilitas (dengan Alarm)sinyal perbandingan btc dan total3 perbedaan yang signifikan di candle TF15 menit
النطاقات والقنوات
EMA20 Entry with Lei Teacher Strategy_Trend_Follow_RuleEMA20 Entry with Lei Teacher Strategy Trend Follow Entry Alert
Gamma Blast StrategyGamma Blast Strategy used for quick 2-5 ticks on Buys, but on a sideways market can get up to 15-20 ticks.
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
TMA +BB Bands Indicator//@version=5
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = )
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
ma(source, length, _type) =>
switch _type
"SMA" => 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)
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500, display = display.data_window)
plot(basis, "Basis", color=#2962FF, offset = offset)
p1 = plot(upper, "Upper", color=#F23645, offset = offset)
p2 = plot(lower, "Lower", color=#089981, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
OPTIMAL super trend tripple confirm for leverage. Ai implemented for higher r:r still a work in progresss
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}.
Highlights
Two entry engines
Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback.
QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire.
Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL.
Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window.
Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background.
Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with:
Condition: this strategy
Notify on: Order fills only
Message: {{strategy.order.alert_message}}
Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override.
How to set up alerts (the 15-second version)
Create a TradingView alert with this strategy as Condition.
Notify on: Order fills only.
Message: {{strategy.order.alert_message}} (exactly).
If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads.
Leave blank → the strategy sends a default JSON.
Fill in → your text is sent as-is.
Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time.
Publishing notes / best practices
Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly.
Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units.
Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side.
HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint.
Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload.
Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed.
Default JSONs (used when a Custom field is empty)
Open: {"event":"open","side":"long|short","symbol":""}
Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""}
You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs.
Input sections — user guide
01) Entries & Signals
Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one).
Enable Long/Short Signals: Master on/off switches for entering long/short.
Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side.
Signal Logic (Multi-Source):
Single: any 1 of the 3 sources > 0
Dual: Source1 AND Source2 > 0
Triple (default): 1 AND 2 AND 3 > 0
Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”.
Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers).
Long/Short Lookback (bars): How many bars to remember that pulse.
01b) QBands + Moneyball (Gate -> Trigger)
Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse.
Trigger must fire within N bars after Gate: Size of the gate window (in bars).
Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open.
Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear).
Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0).
Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars.
Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing.
02) Exit Units (Trailing/TP)
Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly.
03) Tick-based Trailing / Stops (active when Exit Units = Ticks)
Initial SL (ticks): Starting stop distance from entry.
Start Trailing After (ticks): Start trailing once price moves this far in your favor.
Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins.
Take Profit (ticks): Optional static TP distance.
Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled).
04) Brick-based Trailing / Stops (active when Exit Units = Bricks)
Renko Brick Size: Must match your chart’s brick size.
Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks.
Take Profit / Stop Loss (bricks): Optional static distances.
05) TP / SL Switch
Enable Static Take Profit: If ON, closes the trade at the fixed TP distance.
Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used.
06) Trading Windows (NY time)
Use Trading Windows: Master toggle for all windows.
Evening / Overnight / NY Session: Define each session in NY time.
Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload).
07) Day Controls & Limits
Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT.
Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT.
Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten).
On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode.
08) Custom Alert Payloads (used as strategy.order.alert_message)
Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent).
Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent).
End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened.
Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten.
Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side.
Known limitations
No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation.
alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert.
Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings.
Quick checklist before you publish
✅ Brick size in Inputs matches your Renko chart
✅ Exit Units set to Bricks or Ticks as you intend
✅ Day limits/Windows toggled as you want
✅ Custom payloads filled (or leave blank to use defaults)
✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
Date Range Performance
Calculates total change and percentage change between two dates.
Computes average change per bar and per day.
Offers arithmetic and geometric daily %.
Supports auto mode (last N trading days) and manual date range.
Displays results as a watermark on the chart.
EMA Percentile Rank [SS]Hello!
Excited to release my EMA percentile Rank indicator!
What this indicator does
Plots an EMA and colors it by short-term trend.
When price crosses the EMA (up or down) and remains on that side for three subsequent bars, the cross is “confirmed.”
At the moment of the most recent cross, it anchors a reference price to the crossover point to ensure static price targets.
It measures the historical distance between price and the EMA over a lookback window, separately for bars above and below the EMA.
It computes percentile distances (25%, 50%, 85%, 95%, 99%) and draws target bands above/below the anchor.
Essentially what this indicator does, is it converts the raw “distance from EMA” behavior into probabilistic bands and historical hit rates you can use for targets, stop placement, or mean-reversion/continuation decisions.
Indicator Inputs
EMA length: Default is 21 but you can use any EMA you prefer.
Lookback: Default window is 500, this is length that the percentiles are calculated. You can increase or decrease it according to your preference and performance.
Show Accumulation Table: This allows you to see the table that shows the hits/price accumulation of each of the percentile ranges. UCL means upper confidence and LCL means lower confidence (so upper and lower targets).
About Percentiles
A percentile is a way of expressing the position of a value within a dataset relative to all the other values.
It tells you what percentage of the data points fall at or below that value.
For example:
The 25th percentile means 25% of the values are less than or equal to it.
The 50th percentile (also called the median) means half the values are below it and half are above.
The 99th percentile means only 1% of the values are higher.
Percentiles are useful because they turn raw measurements into context — showing how “extreme” or “typical” a value is compared to historical behavior.
In the EMA Percentile Rank indicator, this concept is applied to the distance between price and the EMA. By calculating percentile distances, the script can mark levels that have historically been reached often (low percentiles) or rarely (high percentiles), helping traders gauge whether current price action is stretched or within normal bounds.
Use Cases
The EMA Percentile Rank indicator is best suited for traders who want to quantify how far price has historically moved away from its EMA and use that context to guide decision-making.
One strong use case is target setting after trend shifts: when a confirmed crossover occurs, the percentile bands (25%, 50%, 85%, 95%, 99%) provide statistically grounded levels for scaling out profits or placing stops, based on how often price has historically reached those distances. This makes it valuable for traders who prefer data-driven risk/reward planning instead of arbitrary point targets. Another use case is identifying stretched conditions — if price rapidly tags the 95% or 99% band after a cross, that’s an unusually large move relative to history, which could signal exhaustion and prompt mean-reversion trades or protective actions.
Conversely, if the accumulation table shows price frequently resides in upper bands after bullish crosses, traders may anticipate continuation and hold positions longer . The indicator is also effective as a trend filter when combined with its EMA color-coding : only taking trades in the trend’s direction and using the bands as dynamic profit zones.
Additionally, it can support multi-timeframe confluence (if you align your chart to the timeframes of interest), where higher-timeframe trend direction aligns with lower-timeframe percentile behavior for higher-probability setups. Swing traders can use it to frame pullbacks — entering near lower percentile bands during an uptrend — while intraday traders might use it to fade extremes or ride breakouts past the median band. Because the anchor price resets only on EMA crosses, the indicator preserves a consistent reference for ongoing trades, which is especially helpful for managing swing positions through noise .
Overall, its strength lies in transforming raw EMA distance data into actionable, probability-weighted levels that adapt to the instrument’s own volatility and tendencies .
Summary
This indicator transforms a simple EMA into a distribution-aware framework: it learns how far price tends to travel relative to the EMA on either side, and turns those excursions into percentile bands and historical hit rates anchored to the most recent cross. That makes it a flexible tool for targets, stops, and regime filtering, and a transparent way to reason about “how stretched is stretched?”—with context from your chosen market and timeframe.
I hope you all enjoy!
And as always, safe trades!
Ripster EMA Clouds with customisable colorsEMA Clouds indicator inspired by Ripster47's concepts. Published primarily to offer customizable color settings for the cloud displays. This is not an identical copy but an inspired implementation.
Hoàng già — Hoàng giàSimplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
Simplify it based on the structure of the frame price
GMMA ABC Signal Goal (one-liner)
Detect trend-aligned entries using an 18-EMA GMMA stack, then filter out chop with momentum (ATR), trend strength (ADX/RSI), and a tight-range (“box”) mute. Auto-draw SL/TP and fire alerts.
1) Core inputs & idea
Three entry archetypes
Type A (Structure break in a tight bundle): GMMA is narrow → price breaks prior swing with correct bull/bear sequence.
Type B (Trend continuation): Price crosses many EMAs with body and short>mid (bull) or short midAvg, close > longAvg, candle pass.
Short: red body, crossBodyDown ≥ bodyThresh, shortAvg < midAvg, close < longAvg, candle pass.
Anti-chop add-ons:
Require GMMA spread ≥ minSpreadB (trend sufficiently expanded).
ADX/RSI gate (configurable AND/OR and individual enable flags):
ADX ≥ adxMin_B
RSI ≥ rsiMinLong_B (long) or RSI ≤ rsiMaxShort_B (short)
Type C — momentum pop
Needs many crosses (crossUp / crossDown ≥ crossThresh) and a strong candle.
Has its own ATR body threshold: body ≥ ATR * atrMultC (separate from global).
6) Global “Box” (tight-range) mute
Look back boxLookback bars; if (highest−lowest)/close ≤ boxMaxPct, then mute all signals.
Prevents trading inside cramped ranges.
7) Signal priority + confirmation + cooldown
Compute raw A/B/C booleans.
Pick first valid in order A → B → C per side (long/short).
Apply:
Bar confirmation (confirmClose)
Cooldown (no new signal within cooldownBars after last)
Global box mute
Record bar index to enforce cooldown.
8) SL/TP logic (simple R-based scaffolding)
SL: previous swing extreme within structLookback (long uses prevLow, short uses prevHigh).
Risk R: distance from entry close to SL (min-tick protected).
TPs: TP1/TP2/TP3 = close ± R × (tp1R, tp2R, tp3R) depending on side.
On a new signal, draw lines for SL/TP1/TP2/TP3; keep them for keepBars then auto-delete.
9) Visuals & alerts
Plot labels for raw Type A/B/C (so you can see which bucket fired).
Entry label on the chosen signal with SL/TP prices.
Alerts: "ABC LONG/SHORT Entry" with ticker & timeframe placeholders.
10) Info panel (top-right)
Shows spread%, box%, ADX, RSI on the last/confirmed bar for quick situational awareness.
11) How to tune (quick heuristics)
Too many signals? Increase minSpreadB, adxMin_B, bodyThresh, or enable confirmClose and a small cooldownBars.
Missing breakouts? Lower atrMultC (Type C) or crossThresh; relax minSpreadB.
Choppy pairs/timeframes? Raise boxMaxPct sensitivity (smaller value mutes more), or raise atrMult (global) to demand fatter candles.
Cleaner trends only? Turn on strictSeq for Type A; raise minSpreadB and adxMin_B.
12) Mental model (TL;DR)
A = “Tight coil + fresh structure break”
B = “Established trend, strong continuation” (spread + ADX/RSI keep you out of chop)
C = “Momentum burst through many EMAs” (independent ATR gate)
Then add box mute, close confirmation, cooldown, and auto SL/TP scaffolding.
Pump/Dump Detector [Modular]//@version=5
indicator("Pump/Dump Detector ", overlay=true)
// ————— Inputs —————
risk_pct = input.float(1.0, "Risk %", minval=0.1)
capital = input.float(100000, "Capital")
stop_multiplier = input.float(1.5, "Stop Multiplier")
target_multiplier = input.float(2.0, "Target Multiplier")
volume_mult = input.float(2.0, "Volume Spike Multiplier")
rsi_low_thresh = input.int(15, "RSI Oversold Threshold")
rsi_high_thresh = input.int(85, "RSI Overbought Threshold")
rsi_len = input.int(2, "RSI Length")
bb_len = input.int(20, "BB Length")
bb_mult = input.float(2.0, "BB Multiplier")
atr_len = input.int(14, "ATR Length")
show_signals = input.bool(true, "Show Entry Signals")
use_orderflow = input.bool(true, "Use Order Flow Proxy")
use_ml_flag = input.bool(false, "Use ML Risk Flag")
use_session_filter = input.bool(true, "Use Volatility Sessions")
// ————— Symbol Filter (Optional) —————
symbol_nq = input.bool(true, "Enable NQ")
symbol_es = input.bool(true, "Enable ES")
symbol_gold = input.bool(true, "Enable Gold")
is_nq = str.contains(syminfo.ticker, "NQ")
is_es = str.contains(syminfo.ticker, "ES")
is_gold = str.contains(syminfo.ticker, "GC")
symbol_filter = (symbol_nq and is_nq) or (symbol_es and is_es) or (symbol_gold and is_gold)
// ————— Calculations —————
rsi = ta.rsi(close, rsi_len)
atr = ta.atr(atr_len)
basis = ta.sma(close, bb_len)
dev = bb_mult * ta.stdev(close, bb_len)
bb_upper = basis + dev
bb_lower = basis - dev
rolling_vol = ta.sma(volume, 20)
vol_spike = volume > volume_mult * rolling_vol
// ————— Session Filter (EST) —————
est_offset = -5
est_hour = (hour + est_offset + 24) % 24
session_filter = (est_hour >= 18 or est_hour < 6) or (est_hour >= 14 and est_hour < 17)
session_ok = not use_session_filter or session_filter
// ————— Order Flow Proxy —————
mfi = ta.mfi(close, 14)
buy_imbalance = ta.crossover(mfi, 50)
sell_imbalance = ta.crossunder(mfi, 50)
reversal_candle = close > open and close > ta.highest(close , 3)
// ————— ML Risk Flag (Placeholder) —————
ml_risk_flag = use_ml_flag and (ta.sma(close, 5) > ta.sma(close, 20))
// ————— Entry Conditions —————
long_cond = symbol_filter and session_ok and vol_spike and rsi < rsi_low_thresh and close < bb_lower and (not use_orderflow or (buy_imbalance and reversal_candle)) and (not use_ml_flag or ml_risk_flag)
short_cond = symbol_filter and session_ok and vol_spike and rsi > rsi_high_thresh and (not use_orderflow or sell_imbalance) and (not use_ml_flag or ml_risk_flag)
// ————— Position Sizing —————
risk_amt = capital * (risk_pct / 100)
position_size = risk_amt / atr
// ————— Plot Signals —————
plotshape(show_signals and long_cond, title="Long Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(show_signals and short_cond, title="Short Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// ————— Alerts —————
alertcondition(long_cond, title="Long Entry Alert", message="Pump fade detected: Long setup triggered")
alertcondition(short_cond, title="Short Entry Alert", message="Dump detected: Short setup triggered")
Auto S/R 1H - Stable Simplethat is a script to find out the support and resistance as trendlines for stocks in one hour timeframe for swing trading.
HawkEye EMA Cloud
# HawkEye EMA Cloud - Enhanced Multi-Timeframe EMA Analysis
## Overview
The HawkEye EMA Cloud is an advanced technical analysis indicator that visualizes multiple Exponential Moving Average (EMA) relationships through dynamic color-coded cloud formations. This enhanced version builds upon the original Ripster EMA Clouds concept with full customization capabilities.
## Credits
**Original Author:** Ripster47 (Ripster EMA Clouds)
**Enhanced Version:** HawkEye EMA Cloud with advanced customization features
## Key Features
### 🎨 **Full Color Customization**
- Individual bullish and bearish colors for each of the 5 EMA clouds
- Customizable rising and falling colors for EMA lines
- Adjustable opacity levels (0-100%) for each cloud independently
### 📊 **Multi-Layer EMA Analysis**
- **5 Configurable EMA Cloud Pairs:**
- Cloud 1: 8/9 EMAs (default)
- Cloud 2: 5/12 EMAs (default)
- Cloud 3: 34/50 EMAs (default)
- Cloud 4: 72/89 EMAs (default)
- Cloud 5: 180/200 EMAs (default)
### ⚙️ **Advanced Customization Options**
- Toggle individual clouds on/off
- Adjustable EMA periods for all timeframes
- Optional EMA line display with color coding
- Leading period offset for cloud projection
- Choice between EMA and SMA calculations
- Configurable source data (HL2, Close, Open, etc.)
## How It Works
### Cloud Formation
Each cloud is formed by the area between two EMAs of different periods. The cloud color dynamically changes based on:
- **Bullish (Green/Custom):** When the shorter EMA is above the longer EMA
- **Bearish (Red/Custom):** When the shorter EMA is below the longer EMA
### Multiple Timeframe Analysis
The indicator provides a comprehensive view of trend strength across multiple timeframes:
- **Short-term:** Clouds 1-2 (faster EMAs)
- **Medium-term:** Cloud 3 (intermediate EMAs)
- **Long-term:** Clouds 4-5 (slower EMAs)
## Trading Applications
### Trend Identification
- **Strong Uptrend:** Multiple clouds stacked bullishly with price above
- **Strong Downtrend:** Multiple clouds stacked bearishly with price below
- **Consolidation:** Mixed cloud colors indicating sideways movement
### Entry Signals
- **Bullish Entry:** Price breaking above bearish clouds turning bullish
- **Bearish Entry:** Price breaking below bullish clouds turning bearish
- **Confluence:** Multiple cloud confirmations strengthen signal reliability
### Support/Resistance Levels
- Cloud boundaries often act as dynamic support and resistance
- Thicker clouds (higher opacity) may provide stronger S/R levels
- Multiple cloud intersections create significant price levels
## Customization Guide
### Color Schemes
Create your own visual style by customizing:
1. **Bullish/Bearish colors** for each cloud pair
2. **Rising/Falling colors** for EMA lines
3. **Opacity levels** to layer clouds effectively
### Recommended Settings
- **Day Trading:** Focus on Clouds 1-2 with higher opacity
- **Swing Trading:** Use Clouds 1-3 with moderate opacity
- **Position Trading:** Emphasize Clouds 3-5 with lower opacity
## Technical Specifications
- **Version:** Pine Script v6
- **Type:** Overlay indicator
- **Calculations:** Real-time EMA computations
- **Performance:** Optimized for all timeframes
- **Alerts:** Configurable long/short alerts available
## Risk Disclaimer
This indicator is for educational and informational purposes only. Always combine with proper risk management and additional analysis before making trading decisions. Past performance does not guarantee future results.
---
*Enhanced and customized version of the original Ripster EMA Clouds by Ripster47. This modification adds comprehensive color customization and enhanced user control while preserving the core analytical framework.*
Arena TP Manager//@version=5
indicator("Arena TP Manager", overlay=true, max_labels_count=500)
// === INPUTS ===
entryPrice = input.float(0.0, "Entry Price", step=0.1)
stopLossPerc = input.float(5.0, "Stop Loss %", step=0.1)
tp1Perc = input.float(10.0, "TP1 %", step=0.1)
tp2Perc = input.float(20.0, "TP2 %", step=0.1)
tp3Perc = input.float(30.0, "TP3 %", step=0.1)
// === CALCULATIONS ===
stopLoss = entryPrice * (1 - stopLossPerc/100)
tp1 = entryPrice * (1 + tp1Perc/100)
tp2 = entryPrice * (1 + tp2Perc/100)
tp3 = entryPrice * (1 + tp3Perc/100)
// === PLOTTING ===
plot(entryPrice > 0 ? entryPrice : na, title="Entry", color=color.yellow, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? stopLoss : na, title="Stop Loss", color=color.red, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp1 : na, title="TP1", color=color.green, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp2 : na, title="TP2", color=color.green, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp3 : na, title="TP3", color=color.green, linewidth=2, style=plot.style_linebr)
// === LABELS ===
if (entryPrice > 0)
label.new(bar_index, entryPrice, "ENTRY: " + str.tostring(entryPrice), style=label.style_label_up, color=color.yellow, textcolor=color.black)
label.new(bar_index, stopLoss, "SL: " + str.tostring(stopLoss), style=label.style_label_down, color=color.red, textcolor=color.white)
label.new(bar_index, tp1, "TP1: " + str.tostring(tp1), style=label.style_label_up, color=color.green, textcolor=color.white)
label.new(bar_index, tp2, "TP2: " + str.tostring(tp2), style=label.style_label_up, color=color.green, textcolor=color.white)
label.new(bar_index, tp3, "TP3: " + str.tostring(tp3), style=label.style_label_up, color=color.green, textcolor=color.white)
🏆 AI Gold Master IndicatorsAI Gold Master Indicators - Technical Overview
Core Purpose: Advanced Pine Script indicator that analyzes 20 technical indicators simultaneously for XAUUSD (Gold) trading, generating automated buy/sell signals through a sophisticated scoring system.
Key Features
📊 Multi-Indicator Analysis
Processes 20 indicators: RSI, MACD, Bollinger Bands, EMA crossovers, Stochastic, Williams %R, CCI, ATR, Volume, ADX, Parabolic SAR, Ichimoku, MFI, ROC, Fibonacci retracements, Support/Resistance, Candlestick patterns, MA Ribbon, VWAP, Market Structure, and Cloud MA
Each indicator generates BUY (🟢), SELL (🔴), or NEUTRAL (⚪) signals
⚖️ Dual Scoring Systems
Weighted System: Each indicator has configurable weights (10-200 points, total 1000), with higher weights for critical indicators like RSI (150) and MACD (150)
Simple Count System: Basic counting of BUY vs SELL signals across all indicators
🎯 Signal Generation
Configurable thresholds for both systems (weighted score threshold: 400-600 recommended)
Dynamic risk management with ATR-based TP/SL levels
Signal strength filtering to reduce false positives
📈 Advanced Configuration
Customizable thresholds for all 20 indicators (RSI levels, Stochastic bounds, Williams %R zones, etc.)
Dynamic weight bonuses that adapt to dominant market trends
Risk management with configurable TP1/TP2 multipliers and stop losses
🎛️ Visual Interface
Real-time master table displaying all indicators, their values, weights, and current signals
Visual trading signals (triangles) with detailed labels
Optional TP/SL lines and performance statistics
💡 Optimization Features
Gold-specific parameter tuning
Trend analysis with configurable lookback periods
Volume spike detection and volatility analysis
Multi-timeframe compatibility (15m, 1H, 4H recommended)
The system combines traditional technical analysis with modern weighting algorithms to provide comprehensive market analysis specifically optimized for gold trading.
Ragazzi è una meraviglia, pronto all uso, già configurato provatelo divertitevi e fate tanti soldoni poi magari una piccola donazione spontanea sarebbe molto gradita visto il tempo, risorse e gli insulti della moglie che mi diceva che perdevo tempo, fatemi sapere se vi piace.
nel codice troverete una descrizione del funzionamento se vi vengono in mente delle idee per migliorarlo contattatemi troverete i mie contatti in tabella un saluto.
Supertrend Trend Change Signals + Covered Points Only (v5)[NR]Supertrend with Buy/Sell Signals + Covered Points (v5)
Description
This indicator is a custom version of the Supertrend that provides:
Buy/Sell signals whenever the trend flips (Up → Buy, Down → Sell).
Covered points label at the end of each trend, showing the total price movement captured from entry to exit.
Optional colored candles based on trend direction.
Visual markers (triangle up/down) for quick identification of flips.
Built-in alert conditions for Buy and Sell flips.
Use case:
Designed for traders who want not only entry/exit alerts but also a quick view of how many points the previous run covered. Especially useful for index futures (e.g., NIFTY, BankNIFTY) or instruments where point movement matters.
⚠ Note: This is a study/indicator, not a strategy. It does not auto-trade and should be combined with your own analysis and risk management.
🚀⚠️ Aggressive + Confirmed Long Strategy (v2)//@version=5
strategy("🚀⚠️ Aggressive + Confirmed Long Strategy (v2)",
overlay=true,
pyramiding=0,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10, // % of equity per trade
commission_type=strategy.commission.percent,
commission_value=0.05)
// ========= Inputs =========
lenRSI = input.int(14, "RSI Length")
lenSMA1 = input.int(20, "SMA 20")
lenSMA2 = input.int(50, "SMA 50")
lenBB = input.int(20, "Bollinger Length")
multBB = input.float(2, "Bollinger Multiplier", step=0.1)
volLen = input.int(20, "Volume MA Length")
smaBuffP = input.float(1.0, "Margin above SMA50 (%)", step=0.1)
confirmOnClose = input.bool(true, "Confirm signals only after candle close")
useEarly = input.bool(true, "Allow Early entries")
// Risk
atrLen = input.int(14, "ATR Length", minval=1)
slATR = input.float(2.0, "Stop = ATR *", step=0.1)
tpRR = input.float(2.0, "Take-Profit RR (TP = SL * RR)", step=0.1)
useTrail = input.bool(false, "Use Trailing Stop instead of fixed SL/TP")
trailATR = input.float(2.5, "Trailing Stop = ATR *", step=0.1)
moveToBE = input.bool(true, "Move SL to breakeven at 1R TP")
// ========= Indicators =========
// MAs
sma20 = ta.sma(close, lenSMA1)
sma50 = ta.sma(close, lenSMA2)
// RSI
rsi = ta.rsi(close, lenRSI)
rsiEarly = rsi > 45 and rsi < 55
rsiStrong = rsi > 55
// MACD
= ta.macd(close, 12, 26, 9)
macdCross = ta.crossover(macdLine, signalLine)
macdEarly = macdCross and macdLine < 0
macdStrong = macdCross and macdLine > 0
// Bollinger
= ta.bb(close, lenBB, multBB)
bollBreakout = close > bbUpper
// Candle & Volume
bullishCandle = close > open
volCondition = volume > ta.sma(volume, volLen)
// Price vs MAs
smaCondition = close > sma20 and close > sma50 and close > sma50 * (1 + smaBuffP/100.0)
// Confirm-on-close helper
useSignal(cond) =>
confirmOnClose ? (cond and barstate.isconfirmed) : cond
// Entries
confirmedEntry = useSignal(rsiStrong and macdStrong and bollBreakout and bullishCandle and volCondition and smaCondition)
earlyEntry = useSignal(rsiEarly and macdEarly and close > sma20 and bullishCandle) and not confirmedEntry
longSignal = confirmedEntry or (useEarly and earlyEntry)
// ========= Risk Mgmt =========
atr = ta.atr(atrLen)
slPrice = close - atr * slATR
tpPrice = close + (close - slPrice) * tpRR
trailPts = atr * trailATR
// ========= Orders =========
if strategy.position_size == 0 and longSignal
strategy.entry("Long", strategy.long)
if strategy.position_size > 0
if useTrail
// Trailing Stop
strategy.exit("Exit", "Long", trail_points=trailPts, trail_offset=trailPts)
else
// Normal SL/TP
strategy.exit("Exit", "Long", stop=slPrice, limit=tpPrice)
// Move SL to breakeven when TP1 hit
if moveToBE and high >= tpPrice
strategy.exit("BE", "Long", stop=strategy.position_avg_price)
// ========= Plots =========
plot(sma20, title="SMA 20", color=color.orange, linewidth=2)
plot(sma50, title="SMA 50", color=color.new(color.blue, 0), linewidth=2)
plot(bbUpper, title="BB Upper", color=color.new(color.fuchsia, 0))
plot(bbBasis, title="BB Basis", color=color.new(color.gray, 50))
plot(bbLower, title="BB Lower", color=color.new(color.fuchsia, 0))
plotshape(confirmedEntry, title="🚀 Confirmed", location=location.belowbar,
color=color.green, style=shape.labelup, text="🚀", size=size.tiny)
plotshape(earlyEntry, title="⚠️ Early", location=location.belowbar,
color=color.orange, style=shape.labelup, text="⚠️", size=size.tiny)
// ========= Alerts =========
alertcondition(confirmedEntry, title="🚀 Confirmed Entry", message="🚀 {{ticker}} confirmed entry on {{interval}}")
alertcondition(earlyEntry, title="⚠️ Early Entry", message="⚠️ {{ticker}} early entry on {{interval}}")
ORB - 15 Minute Opening RangeThe Opening Range Breakout (ORB) strategy focuses on price movements that occur shortly after the market opens. Traders define a price range—usually based on the first 5, 15, or 30 minutes—and then look for a breakout above or below that range.