bruh-UmarI made this with the help of chat gpt and grok I have no idea if it work or not okay. also my first script also also mjbkjbjk
インジケーターとストラテジー
Aibuyzone Spot & Swing ZonesAibuyzone Spot & Swing Zones is a technical tool that helps identify potential buy zones during established bullish trends.
It is designed for spot and swing traders who prefer to buy pullbacks within broader uptrends.
This indicator does not place trades or make predictions — it only highlights contextual market areas for study.
How It Works
Trend Alignment Filter
A higher-timeframe EMA and two local EMAs determine trend direction.
Only when both the local and higher-timeframe trends agree as bullish will a potential buy zone be considered valid.
Dynamic Buy Zone (Value Area)
The indicator measures a rolling price range over a user-selected number of bars (e.g., last 50).
The lower fraction of this range (configurable percentage) becomes the buy zone band.
When price revisits this lower section during a bullish trend, it is interpreted as a potential value or discount area.
Liquidity Sweep Filter (Optional)
Detects bars that make a new low relative to recent candles and then close back up with a strong lower wick.
This condition can indicate a possible liquidity grab or stop-hunt event that precedes reversals.
RSI Pullback Filter (Optional)
Confirms that price momentum has cooled during the pullback phase.
Signals occur when RSI falls within a defined “pullback” zone (default 30–55), helping avoid chasing overextended moves.
Confluence Scoring
Each of the three criteria — buy zone presence, liquidity sweep, RSI pullback — adds one point to a confluence score.
A signal only appears when the score meets or exceeds the chosen threshold (for example, 2 of 3).
Visual Elements
Fast and Slow EMAs for short-term trend visualization.
A shaded area marking the dynamic buy zone.
Optional background tint when the overall trend is bullish.
Optional labels below bars when confluence criteria are met.
Alert condition available for custom user alerts.
Suggested Use
Select a higher timeframe that fits your trading horizon (e.g., 4h for swing, 1d for position trading).
Use the shaded band as a visual guide for where price may offer “discounts” within an uptrend.
Combine with support/resistance, volume, or other confluence methods for confirmation.
Adjust the confluence requirement for stricter or looser signals.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
All trading involves risk — always perform your own analysis and manage risk according to your own judgment.
Aibuyzone Vector Strategy - Floating DashboardVector Strategy – Floating Dashboard
The Vector Strategy is a visual trading-analysis tool designed to highlight strong directional candles that may represent impulsive moves in the market. It combines candle-structure analysis, volatility expansion, volume conditions, and trend filters into a single clear visual display.
Core Logic
Identifies candles where the body makes up a significant portion of the full bar range, suggesting strong directional intent.
Uses an ATR (Average True Range) expansion filter to confirm that the current candle’s range is larger than normal volatility.
Optionally applies a wick-imbalance requirement to favor bars showing a clear directional bias.
Can include a volume spike filter, marking candles where volume exceeds a moving average multiple.
Trend and Momentum Filters
Local trend: Defined by a fast and slow EMA pair to show short-term bias.
Higher-timeframe trend: Optionally aligns with an EMA from a higher timeframe to confirm broader momentum.
Momentum: RSI filter avoids generating signals in heavily overbought or oversold conditions.
Fair Value Gap (FVG) Option
When enabled, the script checks for a simple three-bar fair-value-gap structure in the direction of the potential signal, acting as an additional confirmation filter.
Signals and Visuals
Plots fast and slow EMAs to visualize the underlying trend.
Displays up/down shapes when qualifying vector-candle conditions occur.
Optional labels show “Vector Long” or “Vector Short” at the candle where conditions align.
Includes alert conditions for both long and short setups.
Floating Dashboard
A compact floating panel summarizes the most recent signal and market context:
Current signal state (Long / Short / Neutral)
Trend bias (Bullish / Bearish / Flat)
RSI reading
Body-to-range percentage
Volume-spike confirmation
Practical Use
This tool can assist traders in identifying strong impulsive candles aligned with a trend filter.
It is meant to complement a complete trading strategy, not to be used in isolation.
Traders may adjust thresholds such as ATR multiple, body-percentage, or RSI range based on the instrument’s volatility and personal risk tolerance.
Important Notice
This script is provided for educational and analytical purposes only.
It does not provide financial advice, recommendations, or guaranteed results.
Market conditions vary, and past performance does not ensure future outcomes.
Always test and validate any configuration in a simulated environment before live trading.
Liquidity & Momentum Master (LMM)💎 Liquidity & Momentum Master (LMM)
A professional dual-system indicator that combines:
📦 High-Volume Support/Resistance Zones and
📊 RSI + Bollinger Band Combo Signals — to visualize both smart money footprints and momentum reversals in one clean tool.
🧱 1. High-Volume Liquidity Zones (Support/Resistance Boxes)
Conditions
Visible only on 1H and higher timeframes (1H, 4H, 1D, etc.)
Detects candles with abnormally high volume and strong ATR-based range
Separates bullish (support) and bearish (resistance) zones
Visualization
All boxes are white, with adjustable transparency (alphaW, alphaBorder)
Each box extends to the right automatically
Only the most important (Top-N) zones are kept — weaker ones are removed automatically
Interpretation
White boxes = price areas with heavy liquidity and volume concentration
Price approaching these zones often leads to bounces or rejections
Narrow spacing = consolidation, wide spacing = potential large move
💎 2. RSI Exit + BB-RSI Combo Signals
RSI Exit (Overbought/Oversold Recovery)
RSI drops from overbought (>70) → plots red “RSI” above the candle
RSI rises from oversold (<30) → plots green “RSI” below the candle
Works on 15m, 30m, 1H, 4H, 1D
→ Indicates short-term exhaustion recovery
BB-RSI Combo (Momentum Reversal Confirmation)
Active on 1H and higher only
Requires both:
✅ RSI divergence (bullish or bearish)
✅ Bollinger Band re-entry (after temporary breakout)
Combo Buy (Green Diamond)
Bullish RSI divergence
Candle closes back above lower Bollinger Band
Combo Sell (Red Diamond)
Bearish RSI divergence
Candle closes back below upper Bollinger Band
→ Confirms stronger reversal momentum compared to standard RSI signals
titts experimentexperimental alert by me for us lets try yeah okay bro you want more description damn I donut know what else to type wag I guess
5 EMA Combo (5, 10, 20, 50, 200)//@version=5
indicator("5 EMA Combo (5, 10, 20, 50, 200)", shorttitle="5 EMA", overlay=true)
// === EMA 5 ===
len1 = input.int(5, minval=1, title="EMA 5 Length")
src1 = input.source(close, "EMA 5 Source")
ema5 = ta.ema(src1, len1)
plot(ema5, title="EMA 5", color=color.new(color.aqua, 0), linewidth=2)
// === EMA 10 ===
len2 = input.int(10, minval=1, title="EMA 10 Length")
src2 = input.source(close, "EMA 10 Source")
ema10 = ta.ema(src2, len2)
plot(ema10, title="EMA 10", color=color.new(color.yellow, 0), linewidth=2)
// === EMA 20 ===
len3 = input.int(20, minval=1, title="EMA 20 Length")
src3 = input.source(close, "EMA 20 Source")
ema20 = ta.ema(src3, len3)
plot(ema20, title="EMA 20", color=color.new(color.orange, 0), linewidth=2)
// === EMA 50 ===
len4 = input.int(50, minval=1, title="EMA 50 Length")
src4 = input.source(close, "EMA 50 Source")
ema50 = ta.ema(src4, len4)
plot(ema50, title="EMA 50", color=color.new(color.green, 0), linewidth=2)
// === EMA 200 ===
len5 = input.int(200, minval=1, title="EMA 200 Length")
src5 = input.source(close, "EMA 200 Source")
ema200 = ta.ema(src5, len5)
plot(ema200, title="EMA 200", color=color.new(color.red, 0), linewidth=3)
// === Optional Alerts ===
alertcondition(ta.crossover(close, ema200), "Bullish Cross Above EMA 200", "Price crossed above EMA 200")
alertcondition(ta.crossunder(close, ema200), "Bearish Cross Below EMA 200", "Price crossed below EMA 200")
10/10 SHORT ALERT: WAP + FIB + CVD + SMCexperimental alert I made hope it work I use vwapa and volume for most part
WIN1! • Crossing EMAs• (By Mesquita, v7)Moving average crossover strategy for intraday movements, especially in the continuous index (WIN1!) on the Brazilian stock exchange B³. The strategy is customizable for time windows, has a filter for trades only above the long-term average, whether only long, only short, or both, with or without stop loss.
3 Moving Average Exponential3 Moving Average Exponential, up to 10 ema with the possibility to personalize the lenght of each of them
MTF Supertrend + MA [TCMaster]Overview:
The MTF Supertrend + MA indicator combines two powerful multi-timeframe tools — the Supertrend and Moving Averages (MA) — into one unified and customizable framework. It allows traders to analyze market trends and dynamic support/resistance levels from multiple higher timeframes directly on a single chart.
⚙️ Features
🟩 Supertrend Section
Up to 4 configurable Supertrends, each from a different timeframe.
Adjustable ATR Length and Multiplier (Factor).
Independent visibility, colors, and timeframes for each layer.
Built-in alert conditions for trend reversals (Uptrend ↔ Downtrend).
Clean visual overlay on price chart.
🟦 Moving Average (MA) Section
Up to 4 multi-timeframe MAs displayed simultaneously.
Supports multiple MA types:
SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA.
Independent control for each MA: color, line width, and timeframe.
Dynamic Info Label displaying distance between price and each MA in real-time.
Smooth, accurate MTF synchronization (no repainting from lookahead).
💡 How to Use
Identify higher-timeframe trend direction using Supertrend signals.
Use MAs as dynamic support/resistance or mean reversion zones.
Combine both for multi-timeframe confluence trading:
e.g., look for long entries when lower TF Supertrend turns bullish and price is above higher TF MAs.
Set alerts to get notified when any Supertrend flips its direction.
🧩 Customization
All parameters are grouped into two sections for clarity:
Supertrend Settings
MA Settings
Fully compatible with all chart types and timeframes.
⚠️ Notes
This indicator is designed for visual multi-timeframe analysis, not for automation.
Alerts only trigger when the corresponding timeframe bar closes.
Ensure replay mode or real-time conditions to verify alert behavior.
ALMA & EMA Ribbon by zdmreThis indicator combines a unique trend-following signal with a classic EMA ribbon to provide a clear view of the market trend.
The main signal line is not based on a typical ATR. Instead, it uses an Arnaud Legoux Moving Average (ALMA) as its baseline and calculates support/resistance bands using Standard Deviation. This creates a responsive trend line that adapts well to volatility. This is paired with a simple EMA Ribbon to help confirm momentum.
What It Does
ALMA + SD Trend Line: This is the core of the indicator. It uses an ALMA as the baseline (instead of a simple MA) and Standard Deviation for the bands. This tends to be more responsive than many traditional trend-following indicators.
Buy/Sell Signals: Simple "B" and "S" labels appear on your chart when the trend is calculated to have changed direction.
EMA Ribbon: A standard Fast/Slow EMA ribbon is plotted to give you a secondary confirmation of momentum. The fill between the EMAs changes color (green for bull, red for bear).
On-Screen Dashboard: A clean info panel in the corner shows you the current status of all components at a glance:
Current Signal (Long/Short)
Price vs. Trend Line (Above/Below)
Trend Strength (%)
EMA Trend (Bullish/Bearish)
Momentum
Fully Customizable: You can toggle every visual element on or off (the signals, the ribbon, the bar coloring, the dashboard) to keep your chart clean.
Settings
Trend Settings:
Factor: This is the main setting. It's the Standard Deviation multiplier. A higher value makes the line less sensitive (fewer signals). A lower value makes it more sensitive (more signals).
SD Length: The lookback for the Standard Deviation.
ALMA Settings:
ALMA Length, Sigma, Offset: Standard controls for the ALMA's smoothness and responsiveness.
EMA Ribbon:
Fast EMA & Slow EMA: Set the lengths for your ribbon.
Visual Settings:
Checkboxes to toggle all visual components (signals, ribbon, dashboard, etc.).
You can set up alerts in TradingView for the following events:
🟢 Long Signal: Triggers on a new "B" (Buy) signal.
🔴 Short Signal: Triggers on a new "S" (Sell) signal.
⚠️ Price Crossed Trend: Triggers any time the price closes across the main trend line.
#DYOR
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1×ATR, TP = 2×ATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensible—both for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
10 Moving Average ExponentialHaving the possibility to add multiple Moving Average Exponential up to 10 with one indicator
EMA Cloud 9/30/60 – Visual Trend Strength - CryptowitchThis indicator displays three Exponential Moving Averages (EMAs):
🔸 EMA 9 (short-term)
🔸 EMA 30 (mid-term)
🔸 EMA 60 (long-term)
A dynamic cloud is drawn between EMA 9 and EMA 30 to visually highlight trend momentum:
Green cloud = bullish momentum (EMA 9 above EMA 30)
Red cloud = bearish momentum (EMA 9 below EMA 30)
This cloud setup helps quickly identify trend direction, momentum shifts, consolidation zones, and potential entry/exit points.
Clean, visual, and effective – suitable for scalpers, swing traders, and trend followers alike.
Ichimoku Strict exit indicatorIndicator for ichimoku with exit
entry - when all cond meet
exit on base line
HAR-Z + OLS Residual + Impact stochastic indicators ibeqfpb wepgbwep gbipwbgw wqbgiwgbw ghbdns ,eltjv jjdhbnb p nj,j. xjve , yfv
Session Dominator — Asia • London • New York Precision ZonesRule the global market sessions.
Session Dominator is a precision-engineered indicator built for traders who want total clarity across Asia, London, and New York sessions.
It automatically plots:
🔷 Dynamic Session Boxes — visually map institutional killzones in real time
⚙️ Session Mean Line — track equilibrium and liquidity shifts
📊 EMA-50 Confluence — align directional bias and intraday trend
🎯 BSL / SSL Levels — reveal active liquidity sweeps and reversals
💡 Bias Engine — evaluates structure and locks the session bias automatically
Toggle between Asia / London / New York / Overlap / Custom modes to dominate any timezone.
Designed with minimalist visuals, high precision, and ICT-based logic — this tool helps you anticipate where liquidity will be taken before it happens.
✳️ For XAUUSD traders, scalpers, and ICT-style analysts seeking sniper-level clarity.
Big price FredThe large price should appear at the top right.
The colors should change based on the daily percentage value (turquoise when it’s up, red when it’s down).
Multi-Timeframe RSI TableIt can print RSI values of any four chosen periods in a tabular format on the chart itself. The table can be placed in any of the six positions, as required. If the RSI values are more than 40 or less than 40, these values are shown in bright Red, else it is light Red.
MOHANRAJ RAMALINGAM SCALPING TODAYin sideways market trading is impossible. that days we shall take practice between index and option candle movement. this strategy help some profits. take practice and take profit
Fractal Dimension Index (FDI) by CoryP1990 – Quant ToolkitThe Fractal Dimension Index (FDI) quantifies how directional or choppy price movement is; in other words, it measures the “roughness” of a trend. FDI values near 1.0–1.3 indicate strong directional trends, while values near 1.5–2.0 reflect chaotic or range-bound behavior. This makes FDI a powerful tool for detecting trend vs. mean-reversion regimes.
How it works
Calculates the ratio of average price changes over full and half-length windows to estimate the fractal dimension of price movement.
Teal line = FDI decreasing → trending behavior (market smoother, more directional).
Orange line = FDI increasing → choppiness or consolidation.
Background:
Green tint = trend-friendly regime (FDI below low threshold).
Orange tint = choppy regime (FDI above high threshold).
Use cases
Detect when markets shift from trend-following to mean-reverting conditions.
Filter trades: favor trend strategies when FDI < 1.3 and reversion setups when FDI > 1.7.
Combine with momentum or volatility metrics to classify regimes.
Defaults
Length = 20
High-FDI threshold = 1.8
Low-FDI threshold = 1.2
Example — TSLA (1D, 2021)
Early 2021 trades choppy to sideways with FDI swinging up toward 1.5, then the index drops below 1.2 as Tesla transitions into a persistent trend-friendly regime through the second half of the year (green background). During the Q4 breakout, FDI holds ~1.0–1.2, confirming strong directionality; brief pullbacks lift FDI back toward the mid-range before trending pressure resumes. At the right edge, FDI sits well below the low threshold, signaling that price remains in a trend-supportive state.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
ChainAggLib - library for aggregation of main chain tickersLibrary "ChainAggLib"
ChainAggLib — token -> main protocol coin (chain) and top-5 exchange tickers for volume aggregation.
Library only (no plots). All helpers are pure functions and do not modify globals.
norm_sym(s)
Parameters:
s (string)
get_base_from_symbol(full_symbol)
Parameters:
full_symbol (string)
get_chain_for_token(token_symbol)
Parameters:
token_symbol (string)
get_top5_exchange_tickers_for_chain(chain_code)
Parameters:
chain_code (string)
get_top5_exchange_tickers_for_token(token_symbol)
Parameters:
token_symbol (string)
join_tickers(arr)
Parameters:
arr (array)
contains_symbol(arr, symbol)
Parameters:
arr (array)
symbol (string)
contains_current(arr)
Parameters:
arr (array)
get_arr_for_current_token()
get_chain_for_current()





















