Sarina - 6 EMA Smart Signals - Colored AreasAdvanced 6 EMA system with smart MACD-based color coding. Features triple EMA pairs, dual signal types (MACD-only & FULL), real-time dashboard, and customizable displays. Perfect for multi-timeframe trend analysis with clear visual signals.
# 6 EMA Smart Signals with Colored Areas
## Overview
A sophisticated multi-timeframe indicator featuring three independent EMA systems with intelligent color coding based on MACD momentum. Perfect for traders who want clear visual signals and comprehensive trend analysis.
## Key Features
✅ **Triple EMA System** - 6 EMAs total (3 fast + 3 slow)
✅ **Smart Color Coding** - 4-color system based on MACD strength
✅ **Dual Signal Types** - MACD-only & FULL (EMA crossover) signals
✅ **Real-time Dashboard** - Compact table with all vital statistics
✅ **Fully Customizable** - Adjust every color, period, and display option
## How It Works
The indicator plots three pairs of EMAs, each representing different time horizons. The area between each fast/slow EMA pair is colored based on the corresponding MACD histogram's strength and direction. This creates an intuitive visual representation of momentum across multiple timeframes.
## Signal Interpretation
- **🟢 Green Triangles (Below Bar):** Buy signals
- **🔴 Red Triangles (Above Bar):** Sell signals
- **Faint Triangles:** MACD-only signals (quicker, more sensitive)
- **Bright Triangles:** FULL signals (EMA crossover + MACD, more reliable)
## Best Practices
1. **Start with defaults** - The preset periods (9/13, 21/34, 55/89) work well across most markets
2. **Use multi-system confirmation** - Wait for at least 2 systems to agree before entering
3. **Watch color alignment** - When all three areas turn the same color, the trend is strongest
4. **Combine with price action** - Use support/resistance levels for better entries
## Compatibility
- Works on all markets (Forex, Stocks, Crypto, Commodities)
- Suitable for all timeframes (1 minute to monthly)
- Compatible with other indicators
## Settings Guide
### EMA Systems
- **System 1 (Blue):** Short-term signals
- **System 2 (Green):** Medium-term trend
- **System 3 (Orange):** Long-term direction
### Display Options
- Toggle individual systems on/off
- Choose between MACD colors or solid fills
- Adjust signal visibility independently
## Disclaimer
This indicator is for educational and research purposes only. Past performance does not guarantee future results. Always practice proper risk management and consult with a financial advisor before trading.
指标和策略
Stress & Recovery Daily Stock/BTC This indicator is a stress → recovery regime tool designed for Daily charts (Bitcoin and equities). It combines Williams Vix Fix (WVF) to detect panic/capitulation conditions (potential bottoms) with RSI vs EMA(RSI) to confirm the start of a recovery phase — but only when that recovery occurs within a configurable number of bars after a WVF panic event.
It is not a generic trend indicator. It focuses on one specific sequence:
Panic spike (WVF) → Recovery confirmation (RSI crossing above EMA(RSI)).
What it Shows
1) Red Bottom Shadow (Panic Zone)
A red shaded area below the baseline appears when WVF triggers a panic condition. This highlights periods where downside pressure and “panic-like” behavior are elevated.
To avoid clutter, the red triangle marker (▼) is plotted only once per red cluster, specifically on the last bar of the panic cluster (end of the WVF signal streak).
2) Green State Ribbon (Recovery Regime)
A green ribbon above the baseline indicates a recovery regime. You can choose how the green signal behaves:
Crossover only: green is active only on the single bar where RSI crosses above EMA(RSI).
State (RSI > EMA): green stays active as long as RSI remains above EMA(RSI).
3) Amber Ribbon (Conflict State)
If panic (WVF) and recovery (green state) overlap, the ribbon turns amber.
This indicates a mixed condition: panic is still present, but momentum is attempting to reverse.
4) Green Triangle Marker (▲) — Validated Recovery Start
A green triangle (▲) appears only when RSI crosses above EMA(RSI) AND that crossover happens within N bars from the most recent WVF panic zone. This time-window filter helps avoid unrelated RSI crossovers that occur far from capitulation events.
How to Use
- Treat red shadow as a “panic/stress zone”.
- Look for the green triangle (▲) as the first validated recovery trigger after panic.
- Use green ribbon as a recovery regime filter (especially in “State” mode).
- Use amber ribbon as a caution zone (overlap = mixed signals).
This indicator is best used as a context and timing filter, not as a complete trading system by itself.
Notes:
- Designed and tuned for Daily timeframe usage.
- Signals may behave differently on intraday timeframes or illiquid assets.
Webhook Candle Sender (OHLCV)This indicator sends OHLCV (Open, High, Low, Close, Volume) candle data via webhook on every confirmed bar close.
It is designed to integrate TradingView with an external trading or analytics system (e.g. a local Flask server, paper trading engine, or algorithmic agent).
Features:
• Sends data only on bar close (no repainting)
• Works on any symbol (stocks, crypto, forex)
• Works on any timeframe
• Outputs structured JSON suitable for APIs and bots
• Uses TradingView alert() function for webhook delivery
Typical use cases:
• Algorithmic trading research
• Paper trading systems
• Backtesting external strategies
• Educational and learning purposes
This script does NOT place trades, manage risk, or provide trading signals.
It only transmits candle data.
No financial advice is provided.
FVG - MTF Confirmed Tracker [JP/EN]Indicator Description: FVG MTF Concluded Bar Tracker
This indicator is a highly functional tool that identifies FVG for the currently displayed bar or a higher-level bar (MTF) and determines its "resolution" when the candlestick is resolved.
Its most notable feature is that it only displays history (gray) on the chart and sends an alert when a "significant level that has been continuously observed for a certain period of time" is resolved.
1. Timeframe Settings
Base Timeframe: Select the timeframe on which to detect FVG. Select "Same as chart" to use the current bar, or select another bar (1-hour, 4-hour, etc.) to project the FVG of the higher-level bar onto the current chart.
2. Active FVG Settings
Sets the currently active support/resistance area that has not yet been filled by price.
Show Bull/Bear: Individually toggles whether to display bull (buy) and bear (sell) FVG.
Color: Specifies the color of the box for the unresolved state.
Extend Right (Active): When enabled, the box will continue to extend indefinitely toward the right edge of the chart until the FVG is resolved.
Max Active FVG: This sets the maximum number of unresolved boxes to display on the chart. When a new FVG is detected, the oldest unresolved box will be automatically deleted if it exceeds this limit, saving resources.
3. Filled FVG Settings (Resolved, Grayed Out, Determination Logic)
These are very important settings for displaying history when the price fills an FVG.
Show Filled: Select whether to leave resolved FVGs grayed out (default color) as "history."
Color: Specifies the color of boxes that have been resolved (Filled).
Extend Right (Filled): When this is turned off, the box extension will stop at the candlestick where the resolution is confirmed, making the resolution point clear.
Max Filled FVG: This sets the maximum number of grayed out boxes to display as history. When the limit is reached, the oldest history will be deleted.
Min Bars to Keep & Alert (Important): This is the threshold for the number of bars elapsed between the occurrence of an FVG and its resolution.
If the threshold is not met: The event is considered a temporary reaction, and no alert will be sounded. The event will also be deleted without being recorded in the history (gray).
If the threshold is met or exceeded: The event is considered a significant market event, and the box will turn gray and an alert will be sent.
4. Alert Settings (Alert Notification Logic)
Alerts are executed in perfect sync with the "resolution of significant levels (graying out)."
Alert when Bull / Bear turns Gray: A notification will be sent the moment a bullish or bearish FVG is resolved after meeting the threshold and turning gray.
Execution Timing: A notification will only be sent when the candlestick is confirmed. It will not be triggered if the candlestick is only momentarily touched by the wick midway through the candlestick. This allows you to know for sure that the event was resolved at the time of closing.
インジケーター解説：FVG MTF 確定足トラッカー
このインジケーターは、現在表示している足、または上位足（MTF）のFVGを特定し、その「解消」をローソク足の確定時に判定する高機能ツールです。
最大の特徴は、**「一定期間意識され続けた重要な水準」**が解消された時のみ、チャートに履歴（グレー）を残し、アラートを通知する設計にあります。
1. Timeframe Settings（時間足設定）
Base Timeframe / 基準にする時間足: FVGを検知する時間足を選択します。「Same as chart（チャートと同じ）」を選べば現在の足、それ以外（1時間足、4時間足など）を選べば上位足のFVGを現在のチャートに投影します。
2. Active FVG Settings（未解消時の設定ロジック）
まだ価格に埋められていない、現在有効なサポート・レジスタンス領域の設定です。
Show Bull / Bear: ブル（買い）およびベア（売り）のFVGを表示するかどうかを個別に切り替えます。
Color: 未解消状態のボックスの色を指定します。
Extend Right (Active): 有効にすると、FVGが解消されるまでボックスをチャートの右端に向かって無制限に延長し続けます。
Max Active FVG: チャート上に表示する未解消ボックスの最大数です。新しいFVGが検知された際、この上限を超えていると最も古い未解消ボックスが自動的に削除され、リソースを節約します。
3. Filled FVG Settings（解消済み・グレー化・判定本数ロジック）
価格がFVGを埋めた際の、履歴表示に関する非常に重要な設定項目です。
Show Filled: 解消されたFVGを「履歴」としてグレー表示（デフォルト色）で残すかどうかを選択します。
Color: 解消済み（Filled）状態になったボックスの色を指定します。
Extend Right (Filled): これをOFFにすると、解消が確定したローソク足の位置でボックスの延長が止まり、解消地点が明確になります。
Max Filled FVG: 履歴として残すグレーボックスの最大数です。上限に達すると、古い履歴から順に削除されます。
Min Bars to Keep & Alert (重要): FVGが発生してから解消されるまでの「経過本数」の閾値です。
判定本数に満たない場合: 一時的な反応とみなし、アラートを鳴らさず、履歴（グレー）にも残さず削除します。
判定本数以上の場合: 市場で十分に意識された「重要な水準」とみなし、ボックスをグレーに変更し、アラートを通知します。
4. Alert Settings（アラート通知ロジック）
アラートは「重要水準の解消（グレー化）」と完全に同期して実行されます。
Alert when Bull / Bear turns Grey: ブル/ベアそれぞれのFVGが、上記の「判定本数」を満たした状態で解消され、グレーに変化した瞬間に通知を送ります。
実行タイミング: ローソク足の確定時にのみ通知されます。足の途中のヒゲで一時的に触れただけでは鳴りません。これにより、クローズ時点で確実に解消されたことのみを把握できます。
The cantillon terminal [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
CPR ProjectionCPR Projection
1. CPR with different ways to feed data
2. Camarilla 3, 4, 5
3. EMA Table
Institutional Bias [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
Session & ATR Trailing Stop mindedgean indicator that highlights the asian range where i look for the 15m fractal to be swept and then i trade in the opposite direction
BO Rule: Body & Filter Duplicates** **
**BO Rule: Advanced Breakout & Retest (Body Only + Strict Sequence)**
This indicator is designed for Price Action traders who focus on **Structure Break & Retest** setups. Unlike standard fractal indicators, this script employs a strict "New Price Rule" and "Body-Only" logic to filter out noise and identifying high-probability trend reversals.
**Key Logic & Features:**
1. **Classic Levels (Body Only):**
* Resistance is defined by a Green candle followed by a Red candle.
* Support is defined by a Red candle followed by a Green candle.
* **Crucial:** The script strictly uses Candle **Bodies** (Open/Close) to define levels, ignoring Wicks to avoid fakeouts caused by market volatility.
2. **Strict Sequence (New Price Rule):**
* The "Reset Logic" ensures that once a signal is confirmed, all previous structure levels are considered obsolete.
* The script resets its memory and only looks for *new* structure levels formed *after* the latest confirmed signal.
3. **Breakout & Retest Confirmation:**
* The script waits for a valid breakout of the classic level.
* It then monitors for a **Retest & Rejection**.
* Signal is generated only when price revisits the broken level and closes respecting the new direction.
4. **Trend Filter (No Duplicates):**
* **Option Included:** You can enable "Filter Duplicate Signals" to see only Trend Reversals (e.g., Buy -> Sell -> Buy). This hides consecutive signals in the same direction to keep the chart clean.
5. **MTF Dashboard:**
* Monitor up to 5 different timeframes simultaneously on one chart.
**How to Use:**
* **Green Dashed Line:** Bullish Confirmation (Breakout + Retest).
* **Red Dashed Line:** Bearish Confirmation (Breakdown + Retest).
* **Settings:** You can toggle the "Filter Duplicates" and "New Price Rule" in the settings menu.
-------------------------------------------------------
** **
**BO Rule: 經典水平突破回踩 (實體判斷 + 嚴格序列規則)**
這是一個專為裸K交易者 (Price Action) 設計的突破回踩指標。與傳統指標不同，它採用了嚴格的「新價格規則」與「僅看實體」邏輯，能有效過濾假突破並識別趨勢反轉。
**核心邏輯與功能：**
1. **經典水平 (僅看實體 Body Only)：**
* 阻力位：由「綠K」接「紅K」形成。
* 支撐位：由「紅K」接「綠K」形成。
* **重點：** 系統僅使用 K棒實體 (收盤/開盤) 來定義水平，完全忽略影線 (Wicks)，以避免影線造成的假訊號。
2. **新價格規則 (嚴格序列)：**
* 採用「最新優先」原則。一旦當前訊號確認，之前所有的舊結構水平立即作廢。
* 系統只會尋找在「最新訊號之後」形成的新水平，確保交易邏輯符合當下的市場結構。
3. **突破回踩確認：**
* 偵測到實體突破後，系統會進入監控模式。
* 只有當價格回踩該水平並成功「拒絕」(收盤守住) 時，才會發出訊號。
4. **過濾重複訊號 (只看反轉)：**
* **設定選項：** 您可以勾選「過濾重複方向訊號」。
* 勾選後，若當前是多頭，系統會隱藏後續的多頭訊號，直到出現空頭訊號為止 (呈現：多 -> 空 -> 多)，讓圖表更乾淨。
5. **多週期 (MTF) 監控：**
* 可同時監控 5 個不同時間級別的突破狀態。
**使用說明：**
* **綠色虛線**：多頭確認 (5 多)。
* **紅色虛線**：空頭確認 (5 空)。
lib_vsop_coreLibrary "lib_vsop_core"
Foundation library providing core types, evaluators, and utilities
for VSOP87 planetary theory calculations. Required by all planetary
libraries. Includes Earth heliocentric model and Sun geocentric functions.
@author BlueprintResearch (Javonnii)
@license MIT License - Free to use with attribution
@theory VSOP87 (Variations Séculaires des Orbites Planétaires)
@accuracy Truncated series - suitable for financial astrology and education
@time_scale Julian millennia from J2000.0 for VSOP87 planets
Julian centuries from J2000.0 for Moon and Pluto
@reference Meeus, Jean. "Astronomical Algorithms" (2nd Ed., 1998)
Bretagnon & Francou. "VSOP87 Solutions" (1988)
@showcase Includes commented showcase code with 250-bar future projection.
Uncomment to display Sun/Earth data with polyline projections.
@open_source This library is part of an open-source alternative to
proprietary astronomical libraries. Study, modify, and
share freely. We believe knowledge of the cosmos belongs
to everyone.
════════════════════════════════════════════════════════════════
© 2025 BlueprintResearch / Javonnii
Licensed under MIT License
════════════════════════════════════════════════════════════════
@version=6
get_julian_millennia(time_)
Parameters:
time_ (float)
get_julian_centuries(time_)
Parameters:
time_ (float)
eval_vsop87(terms, t)
Parameters:
terms (array)
t (float)
eval_vsop87_derivative(terms, t)
Parameters:
terms (array)
t (float)
mod360(x)
Parameters:
x (float)
custom_atan2(y, x)
Parameters:
y (float)
x (float)
get_earth_helio_radius(t)
Parameters:
t (float)
get_earth_helio_coords(t)
Parameters:
t (float)
get_obliquity(t)
Parameters:
t (float)
get_earth_helio_lon(t)
Parameters:
t (float)
get_sun_geo_lon(t)
Parameters:
t (float)
get_sun_geo_speed(t)
Parameters:
t (float)
get_sun_decl(t)
Parameters:
t (float)
get_bar_gap_ms()
Get bar interval in milliseconds for current timeframe
Returns: (int) Time interval between bars in milliseconds
get_future_time(current_time, bars_ahead)
Calculate future timestamp for projection plotting
Parameters:
current_time (int) : (int) Current bar time in milliseconds (use built-in 'time')
bars_ahead (int) : (int) Number of bars to project into future
Returns: (int) Future timestamp suitable for xloc.bar_time and chart.point.from_time
is_projection_bar()
Check if current bar is suitable for drawing future projections
Returns: (bool) True on last bar when projections should be drawn
vsop_term
Fields:
amp (series float)
phase (series float)
freq (series float)
TG Capital Trident Setup Finder (v6, no-functions)backtest label for FVG setups of the trident pattern which TG capital talks about on chart fanatics
lib_vsop87_mercuryLibrary "lib_vsop87_mercury"
Heliocentric and geocentric position calculations for Mercury
using VSOP87 theory. Provides longitude, latitude, radius, speed,
and declination functions.
@author BlueprintResearch (Javonnii)
@license MIT License - Free to use with attribution
@theory VSOP87A (Heliocentric rectangular coordinates)
@accuracy Truncated series (~10-15 terms per series) - arcsecond precision
@time_scale Julian millennia from J2000.0 (use core.get_julian_millennia)
@reference Meeus, Jean. "Astronomical Algorithms" (2nd Ed., 1998)
Bretagnon & Francou. "VSOP87 Solutions" (1988)
@showcase Includes commented showcase code with 250-bar future projection.
Uncomment to display Mercury data with polyline projections.
@open_source This library is part of an open-source alternative to
proprietary astronomical libraries. Study, modify, and
share freely. We believe knowledge of the cosmos belongs
to everyone.
════════════════════════════════════════════════════════════════
© 2025 BlueprintResearch / Javonnii
Licensed under MIT License
════════════════════════════════════════════════════════════════
@version=6
import BlueprintResearch/lib_vsop_core/1 as core
get_helio_lon(t)
Computes Mercury's heliocentric ecliptic longitude using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric ecliptic longitude in degrees, normalized to range [0, 360).
get_helio_lat(t)
Computes Mercury's heliocentric ecliptic latitude using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric ecliptic latitude in radians, range approximately . Note: Returns radians, not degrees.
get_helio_radius(t)
Computes Mercury's heliocentric radius (distance from Sun) using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric radius in astronomical units (AU). Typical range is 0.31-0.47 AU.
get_geo_speed(t)
Computes Mercury's geocentric longitude speed (rate of change over time).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric longitude speed in degrees per day. Negative values indicate retrograde motion (apparent backward movement).
get_geo_lon(t)
Computes Mercury's geocentric ecliptic longitude (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric ecliptic longitude in degrees, normalized to range [0, 360).
get_geo_ecl_lat(t)
Computes Mercury's geocentric ecliptic latitude (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric ecliptic latitude in degrees, range approximately .
get_geo_decl(t)
Computes Mercury's geocentric equatorial declination (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric equatorial declination in degrees, range where positive is north.
lib_elp2000_moonLibrary "lib_elp2000_moon"
get_geo_ecl_lon(T)
Parameters:
T (float)
get_geo_ecl_lat(T)
Parameters:
T (float)
get_obliquity(T)
Parameters:
T (float)
get_declination(T)
Parameters:
T (float)
get_true_node_lon(T)
Parameters:
T (float)
get_true_south_node_lon(T)
Parameters:
T (float)
get_node_declination(T)
Parameters:
T (float)
get_south_node_declination(T)
Parameters:
T (float)
Reverse RSI//@version=6
indicator("Reverse RSI", overlay=false)
rsi_length = input.int(14, title="RSI Length", minval=1)
ob_level = input.int(75, title="Overbought Level")
os_level = input.int(25, title="Oversold Level")
invRSI(target, length) =>
target_rs = target / (100 - target)
up = math.max(close-close , 0)
down = math.max(close -close, 0)
prev_avg_up = ta.rma(up, length)
prev_avg_down = ta.rma(down, length)
price_up = target_rs * (prev_avg_down * (length - 1)) - (prev_avg_up * (length - 1)) + close
price_down = (prev_avg_down * (length - 1) - (prev_avg_up * (length - 1)) / target_rs) + close
current_rsi = ta.rsi(close, length)
price = target > current_rsi ? price_up : price_down
price
price_ob = invRSI(ob_level, rsi_length)
price_mid = invRSI(50, rsi_length)
price_os = invRSI(os_level, rsi_length)
upside = (price_ob-close)/close*100
downside = (close-price_os)/close*100
net = upside-downside
plot(upside, title="Upside Line", color=color.green)
plot(downside, title="Downside Line", color=color.red)
plot(net, title="Net Line", color=net>0?color.new(color.green, 30):color.new(color.red, 30), style=plot.style_columns)
hline(0, "Zero Line")
Vegas Double ChannelThe indicator utilizes the 144 and 169 channels as the minor level, and the 576 and 676 channels as the major level. The EMA12 serves as a filter.
Translation for the complete definition of the “Vegas Double Channel” indicator:
The “Vegas Double Channel” indicator is designed to analyze market trends and identify potential trading opportunities. It employs the following parameters:
Minor Level: The indicator considers the 144 and 169 channels as the minor level, which are used to identify short-term market movements.
Major Level: The 576 and 676 channels are classified as the major level, indicating longer-term market trends.
Filter: The EMA12 (Exponential Moving Average with a period of 12) acts as a filter to smooth out short-term noise and provide a clearer picture of the overall market trend.
Time-Based Level & Watermark [PTN.Trades]Hello NTA Bros. Let's test my script! Hello Hello TDV said my description is too brief. I have to write something more!
## 3 Ways to Cook Crispy, Fluffy, and Delicious Omelettes Without the Grease
Calling all **Egg Lovers**! Today, we’re diving into the "Omelette"—a dish that seems simple but is packed with secret techniques. Everyone has their own signature style, and today, Maggi is sharing 3 different ways to fry an omelette. Whether you’re craving that **extra crispy and fluffy** version you find at restaurants, a **healthy, low-oil** version that isn't greasy, or a **thick and soft** omelette for a full, satisfying bite—we’ve got you covered!
---
### 1. How to Fry a Crispy Omelette
**Ingredients:**
1. 1 tsp Maggi Cooking Sauce
2. Cooking oil (about half a pan deep)
**Instructions:**
1. Pour oil into the pan and heat until hot. Crack the eggs, season, and beat well.
2. Once the oil is boiling, pour the egg mixture through a **strainer** into the pan to create a fluffy texture. When the egg turns golden brown, flip it over. Fry until cooked through and serve.
**Pro-Tips for Crispiness:**
* Don't over-beat the eggs until they are too bubbly, or they will flow through the strainer too slowly.
* Wait for the oil to get hot, then reduce to medium heat for about 10 seconds before testing a small amount of egg through the strainer. If it fluffs up beautifully, pour the rest through the strainer across the pan.
* If using an **electric stove**, use the highest heat. Once the oil is hot, test with a little egg. If it fluffs up, pour the rest in without reducing the heat.
* Pouring through a strainer creates small "strands" of egg that fluff up instantly when hitting the hot oil.
---
### 2. The Healthy Version: Low-Oil Omelette
**Ingredients:**
1. 2 Eggs
2. 1 tsp Maggi Cooking Sauce
3. A small amount of oil
**Instructions:**
1. Crack the eggs, season, and beat well. Heat the pan first, then add a little vegetable oil.
2. Pour the egg into the pan. Once golden brown, flip to the other side and serve.
**Pro-Tips for Low-Oil:**
* **Heating the pan before adding oil** prevents the egg from sticking, which is crucial since we are using very little oil.
* When you pour the egg in, use the edge of your spatula to stir the center quickly. This helps the egg cook faster, makes it easier to flip, and results in a thicker, softer texture.
---
### 3. How to Make a Thick and Soft Omelette
**Ingredients:**
1. 4 Eggs
2. 2 tsp Maggi Cooking Sauce
3. Cooking oil
**Instructions:**
1. Crack the eggs, season, and beat well. Pour about 3 tbsp of oil into a **pot**. You don't need to wait for the oil to be extremely hot.
2. Pour the egg in and use a fork to stir the center quickly (similar to making scrambled eggs). This helps the egg set fast without spreading too much. Use medium-low heat (or medium heat for electric stoves).
3. Once the egg starts to set, tilt the pot slightly and use a spatula to flip the egg. Add a tiny bit more oil, increase the heat, and wait for a beautiful color. Flip again and use high heat briefly to "push out" any excess oil. Remove, drain the oil, and serve.
**Pro-Tips for a Thick & Soft Texture:**
* **Frying in a pot** forces the egg to stay thick and shapely. Choose a small pot to make the omelette look taller and fluffier.
* Stirring quickly with a fork helps the egg cook and bind together faster, making it much easier to flip.
* Using medium-low heat ensures the egg doesn't burn before the thick center is fully cooked.
---
So, what do you think? With these 3 different methods, you can choose the style that fits your mood—whether it’s crispy, thick, or healthy. You can easily make these at home and ensure every bite is perfectly seasoned and delicious with **Maggi Cooking Sauce**.
---
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Waduji MACD with Timeframe This indicator will not change any setting or information for standard MACD but only display selected timeframe on MACD this will be helpful for the traders who trade purely MTF MACD
lib_vsop87_marsLibrary "lib_vsop87_mars"
get_helio_lon(t)
Computes Mars's heliocentric ecliptic longitude using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric ecliptic longitude in degrees, normalized to range [0, 360).
get_helio_lat(t)
Computes Mars's heliocentric ecliptic latitude using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric ecliptic latitude in radians, range approximately . Note: Returns radians, not degrees.
get_helio_radius(t)
Computes Mars's heliocentric radius (distance from Sun) using VSOP87 theory.
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Heliocentric radius in astronomical units (AU). Typical range is 1.38-1.67 AU.
get_geo_speed(t)
Computes Mars's geocentric longitude speed (rate of change over time).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric longitude speed in degrees per day. Negative values indicate retrograde motion (apparent backward movement).
get_geo_lon(t)
Computes Mars's geocentric ecliptic longitude (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric ecliptic longitude in degrees, normalized to range [0, 360).
get_geo_ecl_lat(t)
Computes Mars's geocentric ecliptic latitude (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric ecliptic latitude in degrees, range approximately .
get_geo_decl(t)
Computes Mars's geocentric equatorial declination (as seen from Earth).
Parameters:
t (float) : (float) Julian millennia from J2000.0 (use core.get_julian_millennia(time)).
Returns: (float) Geocentric equatorial declination in degrees, range where positive is north.
EMA 9 vs VWMA 30 Portillo Valentin “It uses a 9‑period moving average and a volume‑weighted moving average. It gives a crossover signal, and the parameters can be adjusted.”
RSI > 70 Buy / Exit on Cross Below 70This strategy buys when the RSI (Relative Strength Index) closes above 70, indicating strong market momentum. It closes the position as soon as the RSI crosses down and falls below 70, to secure profits before a possible reversal.
In summary:
Entry: RSI > 70
Exit: RSI crosses down below 70
It’s a momentum-based strategy that aims to take advantage of strong trends but exits as soon as the momentum weakens.
AlgoDesk SENSEX Option Buyer v1.4//@version=6
indicator("AlgoDesk SENSEX Option Buyer v1.4", overlay=true) // timeframe removed
//---------------------- Inputs --------------------------
rsiLength = input.int(14,"RSI Length")
macdFast = input.int(12,"MACD Fast")
macdSlow = input.int(26,"MACD Slow")
macdSig = input.int(9,"MACD Signal")
bbLength = input.int(20,"Bollinger Length")
bbMult = input.float(2.0,"BB Multiplier")
//---------------------- Indicator Calculations ----------
rsi = ta.rsi(close, rsiLength)
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
basis = ta.sma(close, bbLength)
dev = bbMult * ta.stdev(close, bbLength)
upperBand = basis + dev
lowerBand = basis - dev
vwap = ta.vwap(close)
//---------------------- Conditions ----------------------
bullish_rsi = rsi > 60
bearish_rsi = rsi < 40
macd_bull = ta.crossover(macd, signal)
macd_bear = ta.crossunder(macd, signal)
above_vwap = close > vwap
below_vwap = close < vwap
bb_up = close > upperBand
bb_dn = close < lowerBand
//---------------------- Signal Logic --------------------
callSignal = bullish_rsi and macd_bull and above_vwap and bb_up
putSignal = bearish_rsi and macd_bear and below_vwap and bb_dn
//---------------------- ATM Strike Detect ---------------
atm = math.round(close/100) * 100
//---------------------- Plot Signals --------------------
plotshape(callSignal,
title="CALL BUY",
style=shape.labelup,
location=location.belowbar,
color=color.new(color.green,0),
size=size.large,
text="CALL")
plotshape(putSignal,
title="PUT BUY",
style=shape.labeldown,
location=location.abovebar,
color=color.new(color.red,0),
size=size.large,
text="PUT")
plotshape(not callSignal and not putSignal,
title="NO TRADE",
style=shape.circle,
location=location.bottom,
color=color.new(color.gray,70),
size=size.tiny,
text="NT")
//---------------------- Display BB + VWAP ----------------
plot(upperBand,"Upper BB",color=color.green)
plot(lowerBand,"Lower BB",color=color.red)
plot(vwap,"VWAP",color=color.yellow)
//---------------------- Webhook JSON --------------------
alertMessageCall = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"CALL","strike":"{2}"}',
close, rsi, atm)
alertMessagePut = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"PUT","strike":"{2}"}',
close, rsi, atm)
// Alerts fire on signal confirmation
if callSignal
alert(alertMessageCall, alert.freq_once_per_bar_close)
if putSignal
alert(alertMessagePut, alert.freq_once_per_bar_close)
