Boolean RSI Trend Indicator (Turn + 50 Filter)Indicates when there is an alignment on multi RSI, i.e. 3, 7, 14, 21 and 50.
Cycles
Multi RSI (3,7,14,21,50)Gives multi RSI on the same indicator. Very visual to determine weather in up or down trend.
Parsifal.Swing.FlowThe Parsifal.Swing.Flow indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
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Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
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The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
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The Parsifal.Swing.Flow – Specifics
The Parsifal.Swing.Flow module aggregates price and trading flow data per bin (a "bin" refers to a single candle or time bucket) and smooths this information over recent historical data to reflect ongoing market dynamics.
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How Swing.Flow Works
For each bin, individual data points—called "bin-infolets"—are collected. Each infolet reflects the degree and direction of trading flow, offering insight into buying and selling pressure.
The module processes this data in two steps:
1. Aggregation:
All bin-infolet values within a bin are averaged to produce a single bin-flow value.
2. Smoothing:
The resulting bin-flow values are then smoothed across multiple bins, typically using short-term EMAs.
The outcome is a dynamic representation of the current swing state based on recent trading flow activity.
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How to Interpret Swing.Flow
• Range-bound but not a true oscillator:
While individual bin-infolets are range-bound, the Swing.Flow indicator itself is not a classical oscillator.
• Overbought/Oversold Signals:
Historically high or low values in Swing.Flow may signal overbought or oversold conditions.
• Chart Representation:
o A fast curve (orange)
o A slow curve (white)
o A shaded background that illustrates overall market state
• Mean Reversion Signals:
Extreme curve values followed by reversals may indicate the onset of a mean reversion in price.
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Flow Background Value
The Flow Background Value represents the net state of trading flow:
• > 0 (green shading) → Bullish mode
• < 0 (red shading) → Bearish mode
• The absolute value reflects the confidence level in the current trend direction
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How to Use the Parsifal.Swing.Flow
Several change points can act as entry point triggers:
• Fast Trigger:
A change in the slope of the fast signal curve
• Trigger:
The fast line crossing the slow line or a change in the slope of the slow signal
• Slow Trigger:
A change in the sign of the Background Value
These triggers are visualized in the accompanying chart.
Additionally, market highs and lows that align with the swing indicator values can serve as pivot points for the ongoing price process.
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As always, this indicator is best used in conjunction with other indicators and market information.
While Parsifal.Swing.Flow offers valuable insight and potential entry points, it does not predict future price action.
Rather, it reflects the most recent market tendencies, and should therefore be applied with discretion.
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Extensions
• Aggregation Method:
The current approach—averaging all infolets—can be replaced by alternative weighting schemes, adjusted according to:
o Historical performance
o Relevance of data
o Specific market conditions
• Smoothing Period:
The EMA-based smoothing period can be varied. In general, EMAs can be enhanced to reflect relevance-weighted probability measures, giving greater importance to recent data for a more adaptive and dynamic response.
• Advanced Smoothing:
EMAs can be further extended to include negative weights, similar to wavelet transform techniques, allowing even greater flexibility in smoothing methodologies.
Parsifal.Swing.RSIThe Parsifal.Swing.RSI indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module facilitates judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These swings within the trend are inherently tradable.
They can be approached:
• One-sidedly, in alignment with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions.
Note: In strong trends, mean reversions often appear as sideways consolidations, making one-sided trades more robust.
________________________________________
The Parsifal Swing Suite
The suite provides insights into current swing states and offers various entry point triggers.
All modules act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., the RSI, which ranges from 0 to 100%).
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The Parsifal.Swing.RSI – Specifics
The Parsifal.Swing.RSI is the simplest module in the suite. It uses variations of the classical RSI, explicitly combining:
• RSI: 14-period RSI of the market
• RSIMA: 14-period EMA of the RSI
• RSI21: 14-period RSI of the 21-period EMA of the market
• RSI21MA: 14-period EMA of RSI21
Component Behavior:
• RSI: Measures overbought/oversold levels but reacts very sensitively to price changes.
• RSIMA: Offers smoother directional signals, making it better for assessing swing continuation. Its slope and sign changes are more reliable indicators than pure RSI readings.
• RSI21: Based on smoothed prices. In strong trends, it reaches higher levels and reacts more smoothly than RSI.
• RSI21MA: Further smooths RSI21, serving as a medium-term swing estimator and a signal line for RSI21.
When RSI21 exceeds RSI, it indicates trend strength.
• In uptrends, RSI21 > RSI, with larger exceedance = stronger trend
• In downtrends, the reverse holds
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Indicator Construction
The Swing RSI combines:
• RSI and RSIMA → short-term swings
• RSI21 and RSI21MA → medium-term swings
This results in:
• A fast swing curve, derived from RSI and RSI21
• A slow swing curve, derived from RSIMA and RSI21MA
This setup is smoother than RSI/RSIMA alone but more responsive than using RSI21/RSI21MA alone.
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Background Value
The Background Value reflects the overall market state, derived from RSI21:
• > 0: shaded green → bullish mode
• < 0: shaded red → bearish mode
• The absolute value reflects confidence in the current mode
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How to Use the Parsifal.Swing.RSI
Several change points can act as entry triggers:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crossing slow line or change in slow signal's slope
• Slow Trigger: change in sign of the Background Value
Examples of these triggers are shown in the chart.
Additionally, market highs and lows aligned with swing values can serve as pivot points in evolving price movements.
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As always, this indicator should be used alongside other tools and information in live trading.
While it provides valuable insights and potential entry points, it does not predict future price action.
It reflects the latest tendencies and should be used judiciously.
Weekday Signal [QuantAlchemy]The modified "Weekday Signal " Pine Script enhances the original by expanding from one entry and one exit condition to six independent entry and six independent exit conditions, each with its own weekdays, trading session, and time zone. While the original used a single time zone and produced one enter and one exit signal, the updated script maintains single enter and exit outputs by combining the six conditions for each using logical OR, ensuring compatibility with automated strategies. It retains the original’s main chart overlay, green/red backgrounds for entry/exit signals, and signal exposure for external scripts, aligning with the initial visualization and integration capabilities.
MTF Moving Average (itsmeterada)Hello TradingView Community,
Today, I'd like to introduce a simple and useful indicator I've developed.
**MTF Moving Average (itsmeterada):**
**What kind of indicator is this?**
This indicator allows you to display Moving Averages (MAs) from multiple timeframes (MTF) on your chart. It's convenient when you want to see MAs from higher timeframes alongside your current chart timeframe.
**Key Features of this Indicator:**
With traditional MTF Moving Average indicators, when you displayed multiple lines, it was often hard to remember "Which timeframe and period does this line represent?" and you had to open the parameters each time to check.
The biggest feature of this indicator is that it solves this problem!
It **automatically displays text labels at the end of each displayed Moving Average line**, indicating which timeframe and period that line corresponds to.
* Example: "240 SMA(20)" (Meaning: 4-hour chart's 20-period Moving Average)
* Example: "1D EMA(50)" (Meaning: Daily chart's 50-period Exponential Moving Average)
This makes it clear at a glance what settings each line uses, even when you display multiple MTF Moving Averages. You can analyze your charts more intuitively without getting confused. I believe this is a simple yet very convenient feature.
**How to Use:**
In the parameter settings, you can freely customize the timeframe, period, type of Moving Average (SMA, EMA, etc.), line color, thickness, and more. Please set it up to suit your trading style.
**Finally:**
I developed this indicator because I wanted to make MTF Moving Average analysis more visually clear and efficient. I hope it will be helpful for your trading.
Please give it a try! If you have any questions, feedback, or suggestions for improvement, please feel free to leave a comment.
If you like it, I'd appreciate a "Like"!
Thank you for your time and consideration.
Session Start Lines (NY AM/PM, Asia, London)Session Start Lines (NY AM/PM, Asia, London)
Plot vertical lines for sessions.
EMA+RSI Strong Confirmed Signals//@version=5
indicator("EMA+RSI Strong Confirmed Signals", overlay=true)
// --- Индикаторы
ema100 = ta.ema(close, 100)
ema200 = ta.ema(close, 200)
rsi = ta.rsi(close, 14)
vol = ta.sma(volume, 20) // средний объём
// --- Фильтры тренда
isUptrend = ema100 > ema200
isDowntrend = ema100 < ema200
// --- Усиленные условия входа
longCondition = isUptrend and ta.crossover(close, ema100) and rsi < 28 and volume > vol * 1.5
shortCondition = isDowntrend and ta.crossunder(close, ema100) and rsi > 72 and volume > vol * 1.5
// --- Take Profit и Stop Loss уровни
tpLong = close * 1.03
slLong = close * 0.975
tpShort = close * 0.97
slShort = close * 1.025
// --- Отображение на графике
plot(ema100, color=color.orange, title="EMA 100")
plot(ema200, color=color.red, title="EMA 200")
plot(longCondition ? tpLong : na, title="TP LONG", color=color.green)
plot(longCondition ? slLong : na, title="SL LONG", color=color.red)
plot(shortCondition ? tpShort : na, title="TP SHORT", color=color.green)
plot(shortCondition ? slShort : na, title="SL SHORT", color=color.red)
plotshape(longCondition, location=location.belowbar, color=color.lime, style=shape.labelup, text="STRONG LONG")
plotshape(shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, text="STRONG SHORT")
// --- Alertconditions для webhook
alertcondition(longCondition, title="STRONG LONG Signal", message='{"chat_id": "@exgosignal", "text": "{{ticker}} STRONG LONG сигнал по цене {{close}} (TP 3%, SL -2.5%)"}')
alertcondition(shortCondition, title="STRONG SHORT Signal", message='{"chat_id": "@exgosignal", "text": "{{ticker}} STRONG SHORT сигнал по цене {{close}} (TP 3%, SL -2.5%)"}')
AAPL Covered Call + CSP Alerts (Enhanced)This is a work-in-progress tool designed to help identify ideal setups for selling covered calls (CC) and cash-secured puts (CSP) on Apple (AAPL) using price levels, volume confirmation, and moving average context.
📈 What It Does
🔴 CC SELL Alert
Triggers when:
Price breaks above a custom resistance level
A volume spike confirms momentum
Designed to catch strong upside pushes where call premiums are rich.
🟠 CC WATCH Alert
Triggers when:
Price is near the 200-day MA
Volume is elevated but there’s no breakout yet
A pre-alert to watch for potential call-selling setups near resistance.
🟢 CSP BUY Alert
Triggers when:
Price drops below a custom support level
A volume flush signals potential short-term capitulation
Meant to time CSP entries when downside panic sets in.
⚙️ Adjustable Settings
Input Description
ccPriceTrigger Resistance level to trigger CC SELL
ccVolumeMultiplier Volume threshold for CC confirmation
maProximityBuffer Distance from 200 MA to trigger WATCH
cspSupportLevel Support level to trigger CSP BUY
cspVolumeMultiplier Volume threshold for CSP confirmation
🧭 Timeframe + Expiration Guidelines
Timeframe Use Case Recommended Option Expirations
1H Primary strategy view 21–30 days to expiration
15m Scalping / fast alerts 7–14 DTE (more sensitive)
Daily Swing or macro setups 30–45+ DTE for stability
📣 Alerts (How-To)
This script supports TradingView alerts — just right-click any chart and choose:
"Add Alert" → Select one of the following conditions:
"AAPL CC SELL Alert"
→ Triggers when breakout and volume spike align
"AAPL CC WATCH Alert"
→ Triggers when price approaches 200 MA with volume
"AAPL CSP Alert"
→ Triggers when support breaks with high volume
These alerts are great for traders who want real-time notification when premium-selling setups form — whether you're at your desk or mobile.
🧠 Strategy Context
Built after months of active trading on AAPL, this script distills real trading lessons from volume-based breakouts and support flushes into a signal system for timing covered call and CSP entries. We found these triggers especially reliable when paired with option delta targeting and open interest zones.
Feel free to clone, fork, or improve. Suggestions welcome — this is a living tool.
BTC EMA+RSI Strong Signals//@version=5
indicator("BTC EMA+RSI Strong Signals", overlay=true)
ema100 = ta.ema(close, 100)
ema200 = ta.ema(close, 200)
rsi = ta.rsi(close, 14)
// Фильтры тренда
isUptrend = ema100 > ema200
isDowntrend = ema100 < ema200
// Условия входа
longCondition = isUptrend and ta.crossover(close, ema100) and rsi < 30
shortCondition = isDowntrend and ta.crossunder(close, ema100) and rsi > 70
// TP/SL
tpLong = close * 1.025
slLong = close * 0.985
tpShort = close * 0.975
slShort = close * 1.015
// Отображение
plot(ema100, color=color.orange, title="EMA 100")
plot(ema200, color=color.red, title="EMA 200")
plot(longCondition ? tpLong : na, title="TP LONG", color=color.green)
plot(longCondition ? slLong : na, title="SL LONG", color=color.red)
plot(shortCondition ? tpShort : na, title="TP SHORT", color=color.green)
plot(shortCondition ? slShort : na, title="SL SHORT", color=color.red)
// Метки сигнала
plotshape(longCondition, location=location.belowbar, color=color.green, style=shape.labelup, text="LONG")
plotshape(shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")
// Alertconditions
alertcondition(longCondition, title="BTC LONG", message='BTC LONG сигнал по цене {{close}}')
alertcondition(shortCondition, title="BTC SHORT", message='BTC SHORT сигнал по цене {{close}}')
// Webhook Alerts
if longCondition
alert('{"chat_id": "@exgosignal", "text": "BTC LONG сигнал по цене ' + str.tostring(close) + ' (TP +2.5%, SL -1.5%)"}', alert.freq_once_per_bar_close)
if shortCondition
alert('{"chat_id": "@exgosignal", "text": "BTC SHORT сигнал по цене ' + str.tostring(close) + ' (TP +2.5%, SL -1.5%)"}', alert.freq_once_per_bar_close)
if close >= tpLong
alert('{"chat_id": "@exgosignal", "text": "BTC LONG: цель достигнута по цене ' + str.tostring(close) + '"}', alert.freq_once_per_bar_close)
if close <= slLong
alert('{"chat_id": "@exgosignal", "text": "BTC LONG: сработал стоп по цене ' + str.tostring(close) + '"}', alert.freq_once_per_bar_close)
if close <= tpShort
alert('{"chat_id": "@exgosignal", "text": "BTC SHORT: цель достигнута по цене ' + str.tostring(close) + '"}', alert.freq_once_per_bar_close)
if close >= slShort
alert('{"chat_id": "@exgosignal", "text": "BTC SHORT: сработал стоп по цене ' + str.tostring(close) + '"}', alert.freq_once_per_bar_close)
TTM Squeeze Overlay (Wave A/B/C Visible)This script overlays three MACD-based wave structures directly on the price chart — giving you a clear, time-based view of market momentum without needing a sub-panel.
🔴 Wave A (Short-Term) – fast reactions, shows immediate price pressure
⚫ Wave B (Mid-Term) – smoother movements, ideal for swing context
🔵 Wave C (Long-Term) – area-style macro trend overlay
All waves are dynamically scaled and centered around price action, so you don’t need to manually stretch or shift anything.
Built for traders who want trend clarity at a glance — right where it matters.
Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders:
Visualize which months historically perform best and worst for Bitcoin.
Track average returns and win rates for each month of the year.
Identify seasonal patterns to enhance trading strategies.
Compare cumulative or individual monthly performance.
🔶 CALCULATION
The indicator processes historical Bitcoin price data to calculate monthly performance metrics
Monthly Return Calculation
Inputs:
Monthly open and close prices.
User-defined lookback period (1-15 years).
Return Types:
Percentage: (monthEndPrice / monthStartPrice - 1) × 100
Price: monthEndPrice - monthStartPrice
Statistical Measures
Monthly Averages: ◦ Average return for each month calculated from historical data.
Win Rate: ◦ Percentage of positive returns for each month.
Best/Worst Detection: ◦ Identifies months with highest and lowest average returns.
Cumulative Option
Standard View: Shows discrete monthly performance.
Cumulative View: Shows compounding effect of consecutive months.
Example Calculation (Pine Script):
monthReturn = returnType == "Percentage" ?
(monthEndPrice / monthStartPrice - 1) * 100 :
monthEndPrice - monthStartPrice
calcWinRate(arr) =>
winCount = 0
totalCount = array.size(arr)
if totalCount > 0
for i = 0 to totalCount - 1
if array.get(arr, i) > 0
winCount += 1
(winCount / totalCount) * 100
else
0.0
🔶 DETAILS
Visual Features
Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months.
Optional Trend Line: ◦ Shows continuous performance across months.
Monthly Axis Labels: ◦ Clear month names for easy reference.
Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance.
Interpretation
Strong Positive Months: Historically bullish periods for Bitcoin.
Strong Negative Months: Historically bearish periods for Bitcoin.
Win Rate Analysis: Higher win rates indicate more consistently positive months.
Pattern Recognition: Identify recurring seasonal patterns across years.
Best/Worst Identification: Quickly spot the historically strongest and weakest months.
🔶 EXAMPLES
The indicator helps identify key seasonal patterns
Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality.
Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions.
Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months.
Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends.
🔶 SETTINGS
Customization Options
Lookback Period: Adjust the number of years (1-15) used for historical analysis.
Return Type: Choose between percentage returns or absolute price changes.
Cumulative Option: Toggle between discrete monthly performance or cumulative effect.
Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes.
Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months.
The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
Aroon Buy & Sell (5m Trend, 100% Signal on 1m)Purpose of the Script:
This Pine Script creates a buy and sell signal system that:
Tracks trend direction on the 5-minute (5m) chart using Aroon indicators.
Generates buy and sell signals on the 1-minute (1m) chart based on the 5-minute trend and when Aroon Up/Down reaches 100%.
Components of the Script:
1. Aroon Calculation Function (f_aroon):
This function calculates the Aroon Up and Aroon Down values based on the high and low of the last 14 bars:
Aroon Up: Measures how recently the highest high occurred over the last 14 bars.
Aroon Down: Measures how recently the lowest low occurred over the last 14 bars.
Both values are expressed as a percentage:
Aroon Up is calculated by 100 * (14 - barssince(high == highest(high, 14))) / 14
Aroon Down is calculated by 100 * (14 - barssince(low == lowest(low, 14))) / 14
2. Getting Aroon Values for 5m and 1m:
aroonUp_5m, aroonDown_5m: These are the Aroon values calculated from the 5-minute chart (Aroon Up and Aroon Down).
aroonUp_1m, aroonDown_1m: These are the Aroon values calculated for the 1-minute chart, on which we will plot the signals.
3. Trend Detection (5-minute):
Bullish trend: When the Aroon Up crosses above the Aroon Down on the 5-minute chart, indicating a potential upward movement (uptrend).
Bearish trend: When the Aroon Down crosses above the Aroon Up on the 5-minute chart, indicating a potential downward movement (downtrend).
These are detected using ta.crossover() functions:
bullishCross_5m: Detects when Aroon Up crosses above Aroon Down.
bearishCross_5m: Detects when Aroon Down crosses above Aroon Up.
We then track these crossovers using two variables:
inBullishTrend_5m: This is set to true when we are in a bullish trend (Aroon Up crosses above Aroon Down on 5m).
inBearishTrend_5m: This is set to true when we are in a bearish trend (Aroon Down crosses above Aroon Up on 5m).
4. Cooldown Logic:
This prevents the signals from repeating too frequently:
buyCooldown: Ensures that a buy signal is only generated every 20 bars (approx. every 100 minutes).
sellCooldown: Ensures that a sell signal is only generated every 20 bars (approx. every 100 minutes).
We use:
buyCooldown := math.max(buyCooldown - 1, 0) and sellCooldown := math.max(sellCooldown - 1, 0) to decrease the cooldown over time.
5. Buy/Sell Signal Logic:
Buy signal: A buy signal is generated when:
The 5-minute trend is bullish (Aroon Up > Aroon Down on 5m).
Aroon Down on the 1-minute chart reaches 100% (indicating an extreme oversold condition in the context of the current bullish trend).
The signal is only generated if the cooldown (buyCooldown == 0) allows it.
Sell signal: A sell signal is generated when:
The 5-minute trend is bearish (Aroon Down > Aroon Up on 5m).
Aroon Up on the 1-minute chart reaches 100% (indicating an extreme overbought condition in the context of the current bearish trend).
The signal is only generated if the cooldown (sellCooldown == 0) allows it.
6. Plotting the Signals:
Plot Buy Signals: When a buy signal is triggered, a green "BUY" label is plotted below the bar.
Plot Sell Signals: When a sell signal is triggered, a red "SELL" label is plotted above the bar.
The signal conditions are drawn on the 1-minute chart but rely on the trend from the 5-minute chart.
7. Alert Conditions:
Alert for Buy signal: An alert is triggered when the buy signal condition is met.
Alert for Sell signal: An alert is triggered when the sell signal condition is met.
How It Works:
Trend Tracking (5m): The script looks for the trend on the 5-minute chart (bullish or bearish based on Aroon Up/Down crossover).
Signal Generation (1m): The script then checks the 1-minute chart for an Aroon value of 100% (for either Aroon Up or Aroon Down).
Signals: Based on the trend, if the conditions are met, the script plots buy/sell signals and sends an alert.
Key Points:
5-minute trend: The script determines the market trend on the 5-minute chart.
1-minute signal: Signals are plotted on the 1-minute chart based on Aroon values reaching 100%.
Cooldown: Prevents signals from repeating too frequently.
Estrategia Institucional EUR/USDIt only enters structural breakout zones if there is a confirmation candle.
Filter by the most liquid institutional sessions.
Manage risk with dynamic SL/TP based on structure.
Visually displays relevant zones (swing highs/lows).
INTELLECT_city - Bitcoin Genesis Block DayBitcoin Genesis Block Day is celebrated on January 3 each year, commemorating the creation of the first block in the Bitcoin blockchain, known as the genesis block, by Satoshi Nakamoto on January 3, 2009. This block, block 0, marked the official launch of the Bitcoin network, embedding a message in its coinbase transaction: "The Times 03/Jan/2009 Chancellor on brink of second bailout for banks," referencing a headline from The Times newspaper. This message highlighted Bitcoin’s purpose as a decentralized alternative to centralized financial systems amid the 2008 financial crisis.
The genesis block is unique because it’s hardcoded into the Bitcoin protocol and cannot be spent, containing 50 BTC that remain unspendable. It established the foundation for Bitcoin’s blockchain, with subsequent blocks building upon it through cryptographic hashing. The day symbolizes the birth of cryptocurrency and is celebrated by the crypto community as a milestone in financial and technological innovation.
INTELLECT_city - Bitcoin Whitepaper DayBitcoin Whitepaper Day is celebrated on October 31 each year, marking the anniversary of the publication of the Bitcoin whitepaper by Satoshi Nakamoto in 2008. Titled "Bitcoin: A Peer-to-Peer Electronic Cash System," the nine-page document introduced the concept of a decentralized digital currency that operates without intermediaries like banks, using a peer-to-peer network, blockchain technology, and proof-of-work to solve the double-spending problem.
Published on a cryptography mailing list during the 2008 financial crisis, the whitepaper laid the foundation for Bitcoin and the broader cryptocurrency ecosystem, influencing innovations like Ethereum, decentralized finance (DeFi), and NFTs. It’s a day celebrated by the crypto community to honor the revolutionary ideas that sparked a new era of financial sovereignty and technological innovation. Some note the symbolic connection to October 31, also Reformation Day, suggesting Nakamoto chose it to signify a break from centralized financial systems, though this is speculative.
INTELLECT_city - Quarters - Q1-Q2-Q3-Q4Quarters - Q1-Q2-Q3-Q4
Quarter dates.
Sometimes it is useful to find patterns when a quarter ends.
INTELLECT_city - New Year Chinese (Chine)Time of dates.
Sometimes you need to look at the years to find some patterns, especially on Chinese New Year.
INTELLECT_city - New YearsTime of dates.
Sometimes you need to look at the years to find some patterns.
--------------
Время дат.
Иногда нужно смотреть на года что бы находить какие то паттерны.
Macro Time Block 15mIndicator zeigt die Macrozeit 15 Minuten vor und 15 Minuten nach voller Stunde an.
Macro Time Block (15m przed i po)Indicator zeigt die Macrozeit 15 Minuten vor und 15 minuten nach voller Stunde.
Gann Square NumbersThis is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
This is initial version of Gann square numbers.
ICT Macro and Daye QT ShiftEST Vertical Lines - Auto DST Adjustment
Overview
This indicator draws customizable vertical lines at specific Eastern Time (EST/EDT) points throughout the trading day, automatically adjusting for daylight savings time. Designed for precision trading on 1-minute and 5-minute charts, it highlights key intraday moments when price action tends to accelerate.
Features
- **18 pre-configured NY session times** (09:50-15:45 ET)
- **Auto timezone conversion** - Always shows correct EST/EDT regardless of your local timezone
- **3 line styles** - Choose between solid/dashed/dotted lines
- **Clean labeling** - Optional time markers above each line
- **1m/5m optimized** - Perfect for scalpers and day traders
- **Visual alerts** - "TOUCH" labels when price interacts with lines
Inputs
| Parameter | Description | Default |
|-----------|-------------|---------|
| Line Times | Comma-separated HH:MM times | 09:50,10:10,...15:45 |
| Line Color | Line color | Black |
| Line Width | 1-5px thickness | 2 |
| Line Style | Solid/Dashed/Dotted | Solid |
| Show Labels | Display time markers | true |
How To Use
1. Apply to 1m or 5m charts
2. Lines appear automatically at specified EST times
3. Watch for price reactions at these key levels
4. Customize styles via indicator settings
Ideal For
- NY open/London close traders
- Earnings/News traders
- Breakout traders
- Market open/close strategies
Updates
v1.1 - Added line style customization
v1.0 - Initial release
Market Cipher B Multi-TF Momentum FilteredMy new script signals when alignment in momentum is achieved at the same time in 4hr, 1hr and 12min only... I have seen that when momentum waves are deep in overbought or oversold territory (+- 53) and we have divergences many of time have explosion moves as LTF and HTF's are aligned...
Hope you enjoy it and let me know any thoughs...