Futures Forward Price [NeoButane]In futures markets, the theoretical value of a futures contract can be derived from its underlying price and cost of carry. By baking in the costs and potential yields, the theoretical forward price then be used in basis against futures prices in place of the underlying spot price.
Usage
The script creates plots on the main chart and a separate window pane. Both are meant to be used to visualize dislocations in the market.
By using a futures vs. forward basis instead of futures vs. spot basis, discounts in the market are clearer.
Last month, the gold futures market GCZ2025 traded >1% above forward price when tariffs were announced and fell back in line once the tariffs were verbally retracted.
View roll spreads over a back-adjusted continuous chart. I guess. I don't think spread traders only look at one chart. This is as educational for me as it is you.
Configuration
The underlying reference needs to be changed to match the futures contract you are using.
The Risk-Free Rate defaults to FRED:SOFR. I found the contract month matched 3-Month SOFR Futures to be the closest for forward price.
Risk-Free Rate: The interest rate source for forward price.
Constant Risk-Free Rate: a static interest rate that can be used in advance of future changes in risk-free rate.
Underlying Reference: spot or index price. Some examples include TVC:SPX, TVC:GOLD, CRYPTO:BTCUSD, TVC:USOIL.
Forward Price Compounding: determines which formula to use. They're similar and become closer as the contract matures.
Alternative Contract: enable and select a futures contract to use it on a chart different than the main.
Storage Cost and Yield: for use with commodities. I haven't found a proper use for them yet but enabling is simple if you are able to.
The following are meant to be used with the continuous formula as they are compounded. However the rate sources don't differ much for the purpose of futures prices.
3-Month CME SOFR Futures
3-Month ICEEUR SONIA Futures
3-Month Osaka TONA Futures
The other rate sources are either meant for futures contracts shorter than quarterly such as monthly crypto futures or were meant to help myself understand how different rates would align with futures prices, like inflation.
What this script does
It uses the cost of carry formula to output the forward price (red line). The underlying reference (green line) is plotted alongside and a futures-derived reference (blue line) can be displayed to see how it looks next to the real reference price.
The data pane displays either the nominal difference or percentage difference between the real futures price and the calculated forward price.
Further reading
www.investopedia.com
www.cmegroup.com
www.oxfordenergy.org
www-2.rotman.utoronto.ca
www.cmegroup.com
3-month rate futures
www.cmegroup.com
www.ice.com
www.bankofengland.co.uk
www.jpx.co.jp
Educational
MACD Fading Bullish MomentumMACD fading bullish momentum (early alert). I have designed this indicator as an early alert system for fading bullish momentum. The indicator will fire on the second consecutive histogram bar with decreasing bullish momentum (light green bars). My thought process is that it should provide traders with an earlier alert than a typical (MACD line crossing below Signal line) alert available on Trading View. However, this is not a sell indicator! It's an early alert system. My trading technique is heavily based on where the 9/20/50/100/200 EMAs are compared to one another, on the hourly timeframe and the daily timeframe. I plan to use this indicator alongside technical analysis to give me a better idea if i should exit my long swing trades. Cheers.
James
AlphaTrend Strategy-Dexter📌 AlphaTrend Strategy – Brief Description
The AlphaTrend Strategy uses ATR with RSI/MFI filters to build a dynamic trend line.
Buy when AlphaTrend crosses above its past value (trend up).
Sell when AlphaTrend crosses below its past value (trend down).
Works as a trend-following system, but can whipsaw in sideways markets.
📊 Backtest Summary (Nifty 50, 10-min TF)
Period: Aug 19, 2024 – Sep 11, 2025
Metric Value
Total P&L ₹5,595.65 (+0.56%)
Total Trades 230
Win Rate 42.61%
Profit Factor 1.40
Max Equity Drawdown ₹1,704.15 (0.17%)
Sharpe Ratio -1.80 ❌
Sortino Ratio -0.87 ❌
⚠️ Observations & Risks
Profit Factor > 1 → profitable but thin edge.
Negative Sharpe & Sortino → risk-adjusted performance is poor (high volatility, low consistency).
Low Win Rate (42%) → depends heavily on a few big winners.
No Stop Loss / Take Profit → exposes account to streaks of losses.
Works better in trending markets, fails in choppy/sideways conditions.
✅ Caution: The system makes money on paper, but the risk profile is weak. Use strict money management and additional filters (higher timeframe trend or volume confirmation) before considering it live.
HUll Dynamic BandEducational Hull Moving Average Wave Analysis Tool
**MARS** is an innovative educational indicator that combines multiple Hull Moving Average timeframes to create a comprehensive wave analysis system, similar in concept to Ichimoku Cloud but with enhanced smoothness and responsiveness.
---
🎯 Key Features
**Triple Wave System**
- **Peak Wave (34-period)**: Fast momentum signals, similar to Ichimoku's Conversion Line
- **Primary Wave (89-period)**: Main trend identification with retest detection
- **Swell Wave (178-period)**: Long-term trend context and major wave analysis
**Visual Wave Analysis**
- **Wave Power Fill**: Dynamic area between primary and swell waves showing trend strength
- **Peak Power Fill**: Short-term momentum visualization
- **Smooth Curves**: Hull MA-based calculations provide cleaner signals than traditional moving averages
**Intelligent Signal System**
- **Trend Shift Signals**: Clear visual markers when trend changes occur
- **Retest Detection**: Identifies potential retest opportunities with specific conditions
- **Correction Alerts**: Early warning signals for market corrections
---
📊 How It Works
The indicator uses **Hull Moving Averages** with **Fibonacci-based periods** (34, 89, 178) and a **Golden Ratio multiplier (1.64)** to create natural market rhythm analysis.
**Key Signal Types:**
- 🔵 **Circles**: Major trend shifts (primary wave crossovers)
- 💎 **Diamonds**: Retest opportunities with multi-wave confirmation
- ❌ **X-marks**: Correction signals and structural breaks
- 🌊 **Wave Fills**: Visual trend strength and direction
---
🎓 Educational Purpose
This indicator demonstrates:
- Advanced moving average techniques using Hull MA
- Multi-timeframe analysis in a single view
- Wave theory application in technical analysis
- Dynamic support/resistance concept visualization
**Similar to Ichimoku but Different:**
- Ichimoku uses price-based calculations → Angular cloud shapes
- MARS uses weighted averages → Smooth, flowing wave patterns
- Both identify trend direction, but MARS offers faster signals with cleaner visualization
---
⚙️ Customizable Settings
- **Wave Periods**: Adjust primary wave length (default: 89)
- **Multipliers**: Fine-tune wave sensitivity (default: 1.64 Golden Ratio)
- **Visual Style**: Customize line widths and signal displays
- **Peak Analysis**: Independent fast signal system (default: 34)
---
🔍 Usage Tips
1. **Trend Identification**: Watch wave fill colors and line positions
2. **Entry Timing**: Look for retest diamonds after trend shift circles
3. **Risk Management**: Use wave boundaries as dynamic support/resistance
4. **Confirmation**: Combine with price action and market structure analysis
---
⚠️ Important Notes
- **Educational Tool**: Designed for learning wave analysis concepts
- **Not Financial Advice**: Always use proper risk management
- **Backtesting Recommended**: Test on historical data before live trading
- **Combine with Analysis**: Works best with additional confirmation methods
---
🚀 Innovation
MARS represents a unique approach to wave analysis by:
- Combining Hull MA smoothness with Ichimoku-style visualization
- Providing multi-timeframe analysis without chart clutter
- Offering retest detection with specific wave conditions
- Creating an educational bridge between different analytical methods
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*This indicator is shared for educational purposes to help traders understand advanced moving average techniques and wave analysis concepts. Always practice proper risk management and combine with your own analysis.*
Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
The Chartlense Dashboard is a compact overlay that consolidates key data points from multiple indicators into a single, clean table on your chart. Its primary function is to reduce indicator clutter and provide essential, at-a-glance information about the current market conditions.
This dashboard is designed for traders who want a clear and organized view of the key data without having to load and manage numerous separate indicators.
chartlense.com
Key Features & Functionality
📊 Consolidated Data Panel: Displays real-time values from essential indicators, including RSI, MACD, and multiple EMAs. This saves screen space and simplifies your analysis workflow.
🎯 Automatic Key Levels: The script automatically identifies and displays the nearest important support and resistance levels, adapting as the price moves.
📐 Flexible Layouts (Vertical & Horizontal): Choose the layout that best fits your workspace. Dock the dashboard vertically to the left of your chart or arrange it horizontally along the bottom via the settings menu.
✨ Minimalist Design: Engineered for maximum information with a minimal footprint to keep your main chart area clean and readable.
⚙️ Fully Customizable: Users can show or hide any data point. This allows you to tailor the dashboard to display only the information relevant to your specific trading strategy.
How to Use
Click 'Add to favorite indicators'.
Open any chart and add the "Chartlense Dashboard" from your favorite indicators list.
Customize the displayed data in the Settings (⚙️) to fit your needs.
vertical layout (left of chart)
horizontal layout (bottom of chart)
The Next Step in Your Analysis 🚀
About This Indicator & ChartLense
This dashboard is a free, stand-alone tool provided by ChartLense. It is designed to work alongside our primary product, the ChartLense Chrome Extension.
The purpose of this indicator is to provide a clean overview of market data. The purpose of the Chrome Extension is to perform a comprehensive analysis of the chart's structure. It identifies specific trading setups, calculates a risk score, and suggests precise entry and exit levels.
If you find this dashboard useful for organizing data, you may find the extension useful for a more in-depth analysis. You can learn more at chartlense.com
Disclaimer: This script is for informational purposes only and does not constitute investment advice. Always make your trading decisions based on your own analysis and risk assessment.
Time ZonesThis indicator plots Horizontal lines for specific time on the chart as per the time selected and then trade accordingly
Hunt+FVG+AlertA gift to my best friend Sina creator of Solar.
This indicator is designed to mark previous day high and low and to give alert when these lines are hunted and bullish or bearish FVGs are created.
MACD Momentum Shift MACD momentum shift (alert system). I have designed this indicator as an early alert system for momentum shifts. The indicator will fire on the second consecutive histogram bar with decreasing bearish momentum (light pink bars). My thought process is that it should provide traders with an earlier alert than a typical (MACD line crossing Signal line) alert available on Trading View. However, this is not a buy indicator! It's an early alert system. My trading technique is heavily based on where the 9/20/50/100/200 EMAs are compared to one another, on the hourly timeframe and the daily tiemframe. I plan to combine this alert system with technical analysis to make better trades. Cheers.
James
Alpha Trend ProThe Alpha Trend Pro indicator is a trend-following tool designed to capture market direction using ATR-based dynamic thresholds and smoothing.
✨ Key Features:
ATR-based calculation: Uses Average True Range (ATR) with a multiplier to define bullish and bearish zones.
Adaptive trend line: Plots a dynamic line that shifts according to price movement, turning green for bullish trends and red for bearish trends.
Buy & Sell signals: Generates signals when the trend direction changes (from bearish to bullish or vice versa).
Background highlighting: Optionally colors the chart background to quickly visualize bullish (green) or bearish (red) conditions.
Customizable inputs: Traders can adjust ATR period, multiplier, smoothing factor, and source (close, hl2, etc.).
Alerts ready: Includes built-in alerts for buy signals, sell signals, and trend continuation (bullish or bearish).
📊 How to use it:
Look for BUY signals when the indicator flips from bearish to bullish.
Look for SELL signals when the indicator flips from bullish to bearish.
Use background shading and the trend line color for confirmation of ongoing market direction.
This makes Alpha Trend Pro a powerful yet simple tool for spotting trend reversals and managing trades with confidence.
huzaifa iqbal pakistanthis is custum only for mazaq //@version=6
strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD)
// Parameters for ATR-based trailing stop (UT Bot logic)
var int atrLength = 10 // ATR period length
var float atrMult = 5.0 // ATR multiplier for trailing stop
// Calculate ATR and the ATR-based stop distance (nLoss)
atrValue = ta.atr(atrLength)
nLoss = atrMult * atrValue
// ATR Trailing Stop logic (UT Bot)
// Using persistent variable 'trailingStop' to maintain state across bars
var float trailingStop = na
if na(trailingStop )
// Initialize trailing stop on first bar
trailingStop := close - nLoss
else if (close > trailingStop and close > trailingStop )
// Price is above trailing stop and was above it in previous bar -> uptrend continues
trailingStop := math.max(trailingStop , close - nLoss)
else if (close < trailingStop and close < trailingStop )
// Price is below trailing stop and was below it in previous bar -> downtrend continues
trailingStop := math.min(trailingStop , close + nLoss)
else if (close > trailingStop )
// Price crossed from below to above the trailing stop -> trend flips up (new long setup)
trailingStop := close - nLoss
else
// Price crossed from above to below the trailing stop -> trend flips down
trailingStop := close + nLoss
// Long entry signal: when price crosses above the trailing stop from below
bool longSignal = (close < trailingStop and close > trailingStop )
// Enter long position on UT Bot buy signal (price crossing above trailing stop)
if (longSignal)
strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal")
// Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price
// We hold until TP or SL is hit; no early exit on UT Bot sell signals
if (strategy.position_size > 0)
// Calculate profit target and stop loss based on entry price
float entryPrice = strategy.position_avg_price
float takeProfit = entryPrice * 1.10 // +//@version=6
strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD)
// Parameters for ATR-based trailing stop (UT Bot logic)
var int atrLength = 10 // ATR period length
var float atrMult = 5.0 // ATR multiplier for trailing stop
// Calculate ATR and the ATR-based stop distance (nLoss)
atrValue = ta.atr(atrLength)
nLoss = atrMult * atrValue
// ATR Trailing Stop logic (UT Bot)
// Using persistent variable 'trailingStop' to maintain state across bars
var float trailingStop = na
if na(trailingStop )
// Initialize trailing stop on first bar
trailingStop := close - nLoss
else if (close > trailingStop and close > trailingStop )
// Price is above trailing stop and was above it in previous bar -> uptrend continues
trailingStop := math.max(trailingStop , close - nLoss)
else if (close < trailingStop and close < trailingStop )
// Price is below trailing stop and was below it in previous bar -> downtrend continues
trailingStop := math.min(trailingStop , close + nLoss)
else if (close > trailingStop )
// Price crossed from below to above the trailing stop -> trend flips up (new long setup)
trailingStop := close - nLoss
else
// Price crossed from above to below the trailing stop -> trend flips down
trailingStop := close + nLoss
// Long entry signal: when price crosses above the trailing stop from below
bool longSignal = (close < trailingStop and close > trailingStop )
// Enter long position on UT Bot buy signal (price crossing above trailing stop)
if (longSignal)
strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal")
// Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price
// We hold until TP or SL is hit; no early exit on UT Bot sell signals
if (strategy.position_size > 0)
// Calculate profit target and stop loss based on entry price
float entryPrice = strategy.position_avg_price
//@version=6
strategy("UT Bot Long Only Strategy", overlay=true, pyramiding=0, initial_capital=10000, currency=currency.USD)
// Parameters for ATR-based trailing stop (UT Bot logic)
var int atrLength = 10 // ATR period length
var float atrMult = 5.0 // ATR multiplier for trailing stop
// Calculate ATR and the ATR-based stop distance (nLoss)
atrValue = ta.atr(atrLength)
nLoss = atrMult * atrValue
// ATR Trailing Stop logic (UT Bot)
// Using persistent variable 'trailingStop' to maintain state across bars
var float trailingStop = na
if na(trailingStop )
// Initialize trailing stop on first bar
trailingStop := close - nLoss
else if (close > trailingStop and close > trailingStop )
// Price is above trailing stop and was above it in previous bar -> uptrend continues
trailingStop := math.max(trailingStop , close - nLoss)
else if (close < trailingStop and close < trailingStop )
// Price is below trailing stop and was below it in previous bar -> downtrend continues
trailingStop := math.min(trailingStop , close + nLoss)
else if (close > trailingStop )
// Price crossed from below to above the trailing stop -> trend flips up (new long setup)
trailingStop := close - nLoss
else
// Price crossed from above to below the trailing stop -> trend flips down
trailingStop := close + nLoss
// Long entry signal: when price crosses above the trailing stop from below
bool longSignal = (close < trailingStop and close > trailingStop )
// Enter long position on UT Bot buy signal (price crossing above trailing stop)
if (longSignal)
strategy.entry("Long", strategy.long, comment="UT Bot Buy Signal")
// Exit conditions: take-profit at +10% and stop-loss at -0.10% from entry price
// We hold until TP or SL is hit; no early exit on UT Bot sell signals
if (strategy.position_size > 0)
// Calculate profit target and stop loss based on entry price
float entryPrice = strategy.position_avg_price
float takeProfit = entryPrice * 1.10 // +10%
float stopLoss = entryPrice * 0.999 // -0.10%
strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss)
// Plot the ATR-based trailing stop for visualization (green when trend is up, red when down)
plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line)
float stopLoss = entryPrice * 0.999 // -0.10%
strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss)
// Plot the ATR-based trailing stop for visualization (green when trend is up, red when down)
plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line)
10%
float stopLoss = entryPrice * 0.999 // -0.10%
strategy.exit("ExitLong", "Long", limit=takeProfit, stop=stopLoss)
// Plot the ATR-based trailing stop for visualization (green when trend is up, red when down)
plot(trailingStop, "Trailing Stop", color = close >= trailingStop ? color.lime : color.red, style=plot.style_line)
CyberFX EMA21 Strategy (Pine v5)This is a simple indicator that can be used for a simple strategy. It follows the logic of the price always move back to the media, in that case an EMA(21). This give us an opportunity to achieve a better R/R. One important thing here is this indicator works better on trend markets. When the market is in consolidation mode it will show many signals so we need to pay attention and be patient. This indicator works better in 4H timeframes but it can used with other TFs.
The idea behind is:
for a bullish move when the price moves back to the EMA(21) we check the distance between the low value and the EMA(21) value. The best is when the price low crosses the EMA(21) from above. I am considering a 8 pips distance from the price low to the ema as a signal. Then I will wait for the new candle to move above the EMA(21) for a long entry. I also consider at least 50 pips for SL.
for a bearish move the idea is the same but we consider the price high crossing the EMA(21) and the new candle moving below the EMA.
I hope this can be useful and please leave your comment nad critics(but only the constructive one).
Have a safe trade
NK-Macd + Rsi3Here in one table you can see the MACD of the different time frame that what is the status of the MACD, is it above zero line or below zero line.
Second you will see in table that RSI number of all time frame, so here we dont need to go and check RSI by switching the chart and time frame.
at one place you will see both RSI and MACD, and by seeing the number you can check when the price in oversold zone and when it will in overbought also you can see the when the price in momentum and when not.
Example :- let assume RSI table showing above 40 in 1 hr and 67 in daily that means RSI is in swing momentum in hrly but momentum in daily.
Sr.Ram.GodSoun.Market StructureDisclaimer: This chart is for educational purposes only. Please do your own due diligence — this is not trade advice. Any signals for buys, sells, calls, or puts are purely strategy outputs and should not be considered trading recommendations.
This strategy is designed for "SPY" and "QQQ" on a 3-minute time frame. It is built on market-structure breakouts, identifying swing highs and lows using a configurable Market Structure Duration.
A bullish breakout triggers a Calls (long) entry, while a bearish breakout triggers a Puts (short) entry.
Signals are filtered with session-based exclusions, ensuring no entries or exits occur during the following EST time windows:
09:30 – 09:45
12:00 – 13:00
15:30 – 16:00
Risk management is enforced through percentage-based exits:
Close Longs and switch to Puts if price moves 0.2%
Close Puts and switch to Calls if price moves 0.2%
The strategy also incorporates re-entry logic after a stop-out:
Re-enter Puts on a further 0.3% breakdown.
Re-enter Calls on a further 0.3% breakout.
Built-in alerts cover all entries, exits, and re-entries, enabling seamless use with automated trading or notifications.
#1Sessions - Asia, Frankfurt, London, MM1, MM2, NY Open, NY TrapUltimate Sessions+ ~ The best indicator for your chart
What this indicator offers
Colored session boxes & labels with per-session toggles
Session High/Low lines and optional trendline
VWAP plus σ bands (±K1–K3), per session
EMA trio (EMA-1/2/3), per session
Automatic timezone conversion (base vs. display)
Day divider with weekday label + gap marker (00:00 open)
Holiday handling (skip/shade specific dates)
Tables: Basic (status & times) or Advanced (High/Low/Range/VWAP/EMA1–3)
Row order: fixed or by start time
Clean global master toggles at the top (sessions/VWAP/EMA/divider/tables)
Why it’s special
Session-scoped VWAP/EMA and stats — context that matches the trading window
One-click table switch (Basic ↔ Advanced) for fast workflows
Minimal clutter, flexible styling, and clear intra-day structure
Happy trading!
Sr.Rma.Prev High/lows with Alerts
Disclaimer: This chart is designed for educational purposes only. Please conduct your own due diligence before entering any trades.
The strategy is based on previous highs and lows, combined with stop-loss and reversal percentage logic. It is most effective on SPY and QQQ using the 1-minute time-frame, where I personally trade next-day expiration with preset configurations.
If you choose to apply it to other stocks, be sure to adjust the stop-loss % and re-entry % parameters to match your trading style and risk tolerance.
WarrIA Pro v4.0 - Whales Behavior Simulator# 🐋 WarrIA Pro V.0 - Whales Behavior Simulator
## 🚀 The Ultimate Strategy for Tracking and Following Crypto Market Whales
### 📊 OVERVIEW
**WarrIA Pro v.0 - Whales eresistance, VWAP, and POC
#### 4. **🎨 Advanced Visualization**
- Adaptive **Ichimoku Clouds**
- **Bollinger Bands** with squeeze detection
- **Volume Profile** with Point of Control (POC)
- Automatic **Fibonacci levels**
- **Candlestick patterns** (15+ patterns detected)
### 💡 SYSTEM COMPONENTS
#### **Market Analysis (35%)**
- Multi-timeframe trend analysis
- Market regime detection
- Breakout and reversal identification
#### **OnChain Metrics (35%)**
- Simulated MVRV, NVT, and on-chain metrics
- Volume-based sentiment analysis
- Integrated Fear & Greed Index
#### **Volume & Volatility (15%)**
- Abnormal volume analysis
- Volatility-based position sizing
- Exhaustion move detection
#### **BTC Correlation (10%)**
- Dynamic Bitcoin correlation
- Beta analysis for risk management
- BTC/Altcoin divergences
#### **Sentiment Analysis (5%)**
- Long/Short ratio analysis
- Open Interest monitoring
- Funding rate simulation
### 📊 PROVEN PERFORMANCE
- **Average Win Rate**: 75-85% in backtests
- **Profit Factor**: 1.5-2.5 depending on asset
- **Maximum Drawdown**: < 15% with risk management
- **Sharpe Ratio**: > 1.5 in 30-day periods
### 🛠️ CUSTOMIZABLE SETTINGS
#### **Trading Modes**
- Conservative (low risk)
- Balanced (moderate risk)
- Aggressive (high risk/return)
#### **Supported Timeframes**
- 5m, 15m, 30m, 1h, 4h, 1D
- Best performance on 1h and 4h
#### **Risk Management**
- ATR-based automatic Stop Loss
- Dynamic Take Profit with trailing
- Volatility-based position sizing
### 🎨 CUSTOMIZABLE INTERFACE
- **6 fully repositionable panels**
- **Adjustable colors and sizes**
- **Visual and audio alerts**
- **Multi-language support** (PT/EN)
### 📱 INTELLIGENT ALERTS
1. **Long/Short Entry** with high confluence
2. **Whale Activity** detected
3. **Stop Hunt** in progress
4. **RSI/MACD Divergences**
5. **Important pattern breakouts**
6. **Abnormal volume** detected
### 🎓 IDEAL FOR
- **Day Traders**: Precise intraday signals
- **Swing Traders**: Medium-term trend identification
- **Investors**: Institutional accumulation analysis
- **Beginners**: Intuitive interface with clear recommendations
- **Professionals**: Advanced metrics and full customization
### ⚡ COMPETITIVE ADVANTAGES
1. **Market-unique** whale behavioral analysis
2. **Proprietary AI** not available in other indicators
3. **Integrated backtesting** with real-time statistics
4. **Continuous support** and regular updates
5. **Exclusive Discord community**
### 🔧 REQUIREMENTS
- TradingView Pro, Pro+, or Premium
- Works on all markets (Crypto, Forex, Stocks)
- Optimized for Bitcoin and top 20 cryptocurrencies
### 💬 SUPPORT & COMMUNITY
- Exclusive Discord for users
- Detailed video tutorials
- Pre-configured settings for different markets
- Monthly updates with improvements
### ⚠️ IMPORTANT DISCLAIMERS
- Past results do not guarantee future performance
- Always use appropriate risk management
- This is an educational tool and does not constitute financial advice
- Test on demo account before using real capital
### 🏆 WARRANTY
- 30-day trial period
- Unlimited technical support
- Free updates for 1 year
---
**🔥 Join hundreds of traders already successfully following the whales!**
**💎 WarrIA Pro v.0 - Where Artificial Intelligence meets Smart Money**
---
*Version 0 | Last update: September 2025*
*© 2025 WarrIA Trading Systems - All rights reserved*
Arcane Concepts IndicatorThis script is for my arcane model which focused on psychological level and IRL and ERL
Premarket + Previous Day High/LowIt's a simpler indicator designed for day traders to save time when drawing lines for premarket and the previous day.
Premarket + Previous Day High/LowThis is a simple indicator for day traders, specifically designed to save time for drawing lines for pre-market and the previous day for technical analysis.
Trade Stock One v3Professional Trading Strategy
Specializes in trading uptrends, riding long-term waves
Limits frequent entries
Suitable for medium- to long-term stock trading
Cash and Carry Strategy and Profit ExpectationCash and Carry Strategy and Profit Expectation
In contemporary finance, price discrepancies between spot markets and futures markets represent a significant source of profit opportunities. One of the most established and widely utilized methods of arbitrage to exploit these discrepancies is the Cash and Carry Strategy. This approach is not speculative in nature, but rather market-neutral, grounded in the principle that the spot price and the futures price of an asset must converge upon the expiration of the futures contract.
The essence of the strategy lies in simultaneously purchasing the underlying asset in the spot market and selling an equivalent position in the futures market. By doing so, the investor holds the physical or underlying asset while securing a predetermined selling price through the futures contract. The difference between the futures price and the spot price at the inception of the trade—referred to as the carry spread—becomes the expected profit of the strategy.
Because the spot position and the futures position are of equal size but opposite direction, the investor is largely insulated from fluctuations in the underlying asset’s price. Any losses incurred in the spot position due to price declines are offset by corresponding gains in the futures position, and vice versa. The net result is a locked-in profit equal to the carry spread, provided that costs are properly accounted for. For this reason, the Cash and Carry is categorized as a market-neutral strategy, attractive to institutional investors and funds seeking stable, predictable returns while minimizing exposure to volatility.
In practice, however, the realized profit depends on more than the raw spread between futures and spot. Transaction costs, exchange commissions, and financing expenses must all be deducted from the gross profit. In many cases, these costs can erode, or even entirely eliminate, the arbitrage margin. Careful calculation and capital management are therefore essential for effective implementation.
Beyond its profit potential, the Cash and Carry strategy also plays a systemic role in maintaining market efficiency. When futures contracts are overpriced relative to their theoretical fair value, arbitrageurs enter into Cash and Carry positions, which exert downward pressure on the futures price and upward pressure on the spot price. This process restores equilibrium, ensuring consistency with the Law of One Price, which states that identical assets should not persistently trade at different prices. Thus, the strategy not only benefits individual investors but also contributes to the overall stability and fairness of financial markets.
In conclusion, the Cash and Carry strategy exemplifies how arbitrage can serve as both a tool for profit generation and a mechanism of systemic balance. It demonstrates that investors need not rely on forecasting the direction of markets to achieve returns; rather, they can profit from temporary inefficiencies in price structures. Ultimately, the strategy’s significance lies not only in its ability to secure predictable profit through the carry spread but also in its broader contribution to the efficiency and stability of global financial systems.
EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader1. Indicator Setup
The script starts by defining the version of Pine Script (v5) and creating an indicator called "EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader."
The overlay=true parameter ensures that the indicator is plotted directly on the price chart.
2. Function to Get EMA200
A custom function getEma200 is defined to retrieve the 200-period Exponential Moving Average (EMA) for a specified timeframe (tf).
This function uses the request.security function to fetch the close price's EMA from different timeframes.
3. Calculate EMA200 for Multiple Timeframes
The script calculates the EMA200 for four timeframes: 15 minutes ("15"), 1 hour ("60"), 4 hours ("240"), and 1 day ("D").
These values are stored in variables (ema15, ema1h, ema4h, ema1d) and represent the EMA for each timeframe.
4. Determine Price Above or Below EMA200 (G/R)
For each timeframe, the script checks whether the closing price is above or below the EMA200.
It uses boolean checks to determine if the price is above the EMA200, assigning the status "G" (Green) for above and "R" (Red) for below.
5. Cross Signal Detection (Up/Down)
The script detects crossovers and crossunders between the price and EMA200 for each timeframe.
A crossover signal is detected when the price crosses above the EMA200 (bullish), and a crossunder signal is detected when the price crosses below the EMA200 (bearish).
These signals are stored in separate variables (crossUp, crossDown).
6. Display a Table with G/R Status and Cross Alerts
A table is created and displayed in the top-right corner of the chart. The table shows the status (G or R) for each timeframe and the cross signal (▲ for crossover, ▼ for crossunder, or - for no cross event).
The table is updated with the respective values for each timeframe every time a new bar is formed.
7. Alert Conditions
The script defines alert conditions based on the crossovers and crossunders.
When a price crosses above the EMA200 (cross-up), an alert is triggered for a potential buy opportunity. When the price crosses below the EMA200 (cross-down), an alert is triggered for a potential sell opportunity.
Alerts are configured for each timeframe (15 minutes, 1 hour, 4 hours, and 1 day).
This script provides a comprehensive system for monitoring price action relative to the EMA200 on multiple timeframes, highlighting crossovers, and delivering visual feedback and alerts based on the price's relationship with the EMA.
