[DEM] Option Experation Dates Option Expiration Dates is a calendar-based indicator that visually highlights standard monthly option expiration dates on the price chart by applying a purple background color. The indicator identifies expiration dates using the standard rule that options expire on the third Friday of each month, which it calculates by checking for Fridays (day 6 of the week) that fall between the 15th and 21st of the month. This simple yet practical tool helps traders stay aware of significant market dates when increased volatility and volume typically occur due to option contract settlements and portfolio rebalancing activities. By automatically marking these dates with a subtle purple background, the indicator eliminates the need for manual calendar tracking and ensures traders never miss these potentially impactful market events that can influence price action and trading dynamics.
Temel Analiz
[DEM] Correlation Dashboard Correlation Dashboard is designed to display real-time correlation analysis between the current chart's asset and five major market instruments (Bitcoin, Dow Jones 30, Dollar Index, Nasdaq 100, and S&P 500) in an easy-to-read table format overlaid on the price chart. The indicator calculates correlation coefficients over a configurable period (default 20 bars) and applies additional smoothing using a 200-period RMA to filter out noise and identify persistent correlation trends. The dashboard categorizes correlations into five levels ranging from "Very Strong Positive/Negative Correlation" (above ±0.5) to "No Strong Correlation" (between ±0.3), with color-coded text displaying green for positive correlations, red for negative correlations, and white for neutral relationships, enabling traders to quickly assess how their asset moves relative to major market benchmarks and identify potential diversification opportunities or risk concentrations.
[DEM] Correlation Coefficient Correlation Coefficient is designed to calculate and visualize the statistical correlation between the current chart's price movement and another selected symbol (defaulting to SPX) over a specified period. The indicator displays the correlation coefficient as both a colored area chart and line plot in a separate pane below the main chart, with colors dynamically changing from red (negative correlation) through purple (no correlation) to green (positive correlation) based on the strength and direction of the relationship. The correlation values range from -1 (perfect negative correlation) to +1 (perfect positive correlation), with horizontal reference lines at these extremes and zero, helping traders understand how closely their asset moves in relation to the selected benchmark symbol and identify periods of divergence or convergence in market behavior.
Stockraft Trade Checklist📌 Stockraft Checklist — TradingView Indicator
The Stockraft Checklist is a simple but powerful trading companion designed to keep your trading process disciplined and consistent.
✅ Key Features:
Create up to 5 custom trading rules (editable text).
Mark each rule with a checkbox (✅ or ❌) before taking a trade.
If a rule name is left empty, it is automatically hidden from the checklist.
Displays an easy-to-read Trade Score (%) at the bottom, based on how many rules are met.
Clean and minimal table-style layout on the chart.
Customizable appearance: background color, text color, border color, and table position (top-right, top-left, bottom-right, bottom-left).
🎯 Use Case:
This indicator doesn’t provide signals — instead, it acts as a visual trading journal on your chart. By ticking off your checklist before each trade, you ensure that you follow your rules consistently and only take high-probability setups.
SOLACEThis overlay combines a fast/slow EMA price-action system with rich context tools. Buy prints on the current bar when both EMAs (5 & 21) are below the OHLC average and the 21 EMA crosses below the 5 EMA; Sell prints when both EMAs are above the average and the 21 EMA crosses above the 5 EMA. It also plots MACD, VWAP, Bollinger Bands (20,2), SMA50/200, plus dynamic support/resistance lines from recent swing highs/lows (20/40/60 bars) for confluence. Labels fire same-bar for early entries, and alerts are included for both signals; fractal logic is prepared for future use.
DATE MARKER RAMON SEGOVIAThe Date Marker (resh) is a simple tool to mark multiple custom dates directly on your chart.
Input your dates in DD.MM.YYYY format.
Supports multiple dates separated by commas, semicolons, spaces, or line breaks.
On each matching bar, the indicator places a label below the candle (with customizable vertical offset).
Ideal for tracking economic events, news releases, or personal trading milestones.
This indicator does not provide trading signals or strategies. It only gives you a clear visual reminder of the dates that matter most to you.
KML ALGO v6 – Elite Trading Bot🚀 KML ALGO v6 – Elite Trading Bot by Ahmad Shoaib Kamal
💎 PREMIUM FEATURES
• Advanced ATR Trailing Stop engine
• Multi-Layer Smart Filters (RSI, MACD, Stochastic, Volume, Trend)
• Intelligent Scoring for high-accuracy entries
• Universal: Works on all markets & timeframes
• Live Performance Dashboard
• Professional Alert System ready for automation
⚡ WHY TRADERS LOVE IT
✅ Filters out false signals with 5-step validation
✅ Adapts instantly to changing market conditions
✅ Clean, color-coded interface for fast decision-making
✅ Real-time metrics and stats
✅ Fully customizable to your strategy
✅ Works on Crypto, Forex, Stocks, Indices
🎯 PERFECT FOR
• Day traders seeking pinpoint entries/exits
• Swing traders needing trend confirmation
• Automated trading setups
• Professional portfolio managers
⚙️ CUSTOM SETTINGS
• Adjustable signal sensitivity
• ATR period configuration
• Enable/disable any filter
• Fine-tune parameters for your style
• Heikin Ashi support for cleaner trends
🎨 VISUAL EXCELLENCE
• Dynamic trailing stop lines
• Clear BUY/SELL markers
• Weak signal indicators
• Live stats table
• Smart alerts ready for TradingView’s system
⭐ DEVELOPED BY: Ahmad Shoaib Kamal
🔥 Battle-tested algorithm with real results
💰 Invite-Only Access – Apply to Unlock
📩 Contact for Access & Support:
Email: kmlalgorithms@gmail.com
Telegram: @+15876671119
⚡ Trade with precision, confidence, and zero guesswork – only clarity.
JST & MT5 hourly + Sessions shade (subpanel, v6)このインジケーターは、TradingViewのタイムゾーンをNY時間に設定している際に、日本国内居住者が東京時間（JST）とMetaTraderのサーバー時間（MSK/MT5）を把握しやすくするためのツールです。
チャート下部にJSTとMT5の時間メモリを表示し、取引時間の対応関係を直感的に確認できます。
セッションごとの背景シェード（東京・ロンドン・NY）にも対応しており、時間認識を補助します。
This indicator helps traders based in Japan easily keep track of Tokyo time (JST) and MetaTrader server time (MSK/MT5) when using TradingView with the timezone set to New York (a common choice worldwide).
It displays JST and MT5 time markers along the bottom of the chart, making the relation between trading sessions more intuitive.
Background shading for Tokyo, London, and New York sessions is also included to assist time awareness.
PE Rating by The Noiseless TraderPE Rating by The Noiseless Trader
This script analyzes a symbol’s Price-to-Earnings (P/E) ratio, using Diluted EPS (TTM) fundamentals directly from TradingView.
The script calculates the Price-to-Earnings ratio (P/E) using Diluted EPS (TTM) fundamentals. It then identifies:
PE High → the highest valuation point over a 3-year historical range.
PE Low → the lowest valuation point over a 3-year historical range.
PE Median → the midpoint between the two extremes, offering a fair-value benchmark.
PE (Int) → an additional intermediate low to track more recent undervaluation points. This is calculated based on lowest valuation point over a 1-year historical range
These levels are plotted directly on the chart as horizontal references, with markers showing the exact bars/dates when the extremes occurred. Candles corresponding to those days are also highlighted for context.
Bars corresponding to these extremes are highlighted (red = PE High, green = PE Low).
How it helps
Provides a historical valuation framework that complements technical analysis. We look for long opportunity or base formation near the PE Low and be cautious when stocks tends to trade near High PE.
We do not short the stock at High PE infact be cautious with long trades.
Helps identify whether current price action is happening near overvalued or undervalued zones.
Adds a long-term perspective to support swing trading and investing decisions. If a stock is coming from Low PE to Median PE and along with that if we get entry based on Classical strategies like Darvas Box, or HH-HL based on Dow Theory.
Offers a simple visual map of how far the market has moved from “cheap” to “expensive.”
This tool is best suited for long-term investors and swing traders who want to merge fundamentals with technical setups.
This indicator is designed as an educational tool to illustrate how valuation metrics (like earnings multiples) can be viewed alongside price action, helping traders connect fundamental context with technical execution in real market conditions.
ATR Future Movement Range Projection
The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa.
The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment.
Key features:
- **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes.
- **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles).
- **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays).
- **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs.
- **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference.
- **Limitations**: This is a probabilistic projection based on historical volatility and momentum—it doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs.
The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing.
### How It Works Step-by-Step
The script executes on each bar update (typically daily timeframe) and follows this logic:
1. **Input Configuration**:
- ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings.
2. **Calculate Weekly ATR**:
- Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks.
- ATR measures average price range (high-low, adjusted for gaps), representing volatility.
3. **Derive Daily ATR**:
- Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate.
- Example: If weekly ATR is $5, daily ATR ≈ $1.
4. **Define Projection Periods**:
- 1 Month: 21 trading days.
- 3 Months: 63 trading days (21 × 3).
- These are hardcoded but based on standard trading calendar assumptions.
5. **Compute Base Projections**:
- Base projection = Daily ATR × Days in period.
- This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR × 63 = $63 total range.
6. **Analyze Candle Momentum (Win Rate)**:
- Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open).
- Total colored candles = green + red.
- Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles.
- This acts as a simple momentum proxy: higher win rate implies bullish bias.
7. **Adjust Projections Asymmetrically**:
- Upside projection = Base projection × Win rate.
- Downside projection = Base projection × (1 - Win rate).
- This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside.
8. **Calculate Projected Prices**:
- High = Current close + Upside projection.
- Low = Current close - Downside projection.
- Done separately for 1M and 3M.
9. **Plot Lines**:
- 3M High: Solid green line.
- 3M Low: Solid red line.
- 1M High: Dashed lime line.
- 1M Low: Dashed orange line.
- Lines extend horizontally from the current bar onward.
10. **Display Table**:
- A 3-column table (Projection, Price, % Change) in the top-right.
- Rows for 1M High/Low and 3M High/Low, color-coded.
- % Change = ((Projected price - Close) / Close) × 100.
- Updates dynamically with new data.
The entire process repeats on each new bar, so projections evolve as volatility and momentum change.
### Examples
Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.)
#### Example 1: Bullish Scenario (High Win Rate)
- Current Close: $150.
- Weekly ATR (50 periods): $10 → Daily ATR: $10 / 5 = $2.
- Last 50 Candles: 35 green, 15 red → Total colored: 50 → Win Rate: 35/50 = 0.7 (70%).
- Base Projections:
- 1M: $2 × 21 = $42.
- 3M: $2 × 63 = $126.
- Adjusted Projections:
- 1M Upside: $42 × 0.7 = $29.4 → High: $150 + $29.4 = $179.4 (+19.6%).
- 1M Downside: $42 × 0.3 = $12.6 → Low: $150 - $12.6 = $137.4 (-8.4%).
- 3M Upside: $126 × 0.7 = $88.2 → High: $150 + $88.2 = $238.2 (+58.8%).
- 3M Downside: $126 × 0.3 = $37.8 → Low: $150 - $37.8 = $112.2 (-25.2%).
- On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high).
- Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions.
#### Example 2: Bearish Scenario (Low Win Rate)
- Current Close: $50.
- Weekly ATR (50 periods): $3 → Daily ATR: $3 / 5 = $0.6.
- Last 50 Candles: 20 green, 30 red → Total colored: 50 → Win Rate: 20/50 = 0.4 (40%).
- Base Projections:
- 1M: $0.6 × 21 = $12.6.
- 3M: $0.6 × 63 = $37.8.
- Adjusted Projections:
- 1M Upside: $12.6 × 0.4 = $5.04 → High: $50 + $5.04 = $55.04 (+10.1%).
- 1M Downside: $12.6 × 0.6 = $7.56 → Low: $50 - $7.56 = $42.44 (-15.1%).
- 3M Upside: $37.8 × 0.4 = $15.12 → High: $50 + $15.12 = $65.12 (+30.2%).
- 3M Downside: $37.8 × 0.6 = $22.68 → Low: $50 - $22.68 = $27.32 (-45.4%).
- On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low).
- Interpretation: Indicates bearish risk; might prompt protective puts or short strategies.
#### Example 3: Neutral Scenario (Balanced Win Rate)
- Current Close: $100.
- Weekly ATR: $5 → Daily ATR: $1.
- Last 50 Candles: 25 green, 25 red → Win Rate: 0.5 (50%).
- Projections become symmetric:
- 1M: Base $21 → Upside/Downside $10.5 each → High $110.5 (+10.5%), Low $89.5 (-10.5%).
- 3M: Base $63 → Upside/Downside $31.5 each → High $131.5 (+31.5%), Low $68.5 (-31.5%).
- Interpretation: Pure volatility-based range, no directional bias—ideal for straddle options or range trading.
In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
9:30 AM 1-Minute Open HighlightThis script highlights the 1st 1 min candle of the NY session (9:30 AM candle). This area can be used for retests, entries, targets, etc. I will continue making updates to this. This script allows you to highlight the shaded box to the color of your choosing, choose how many days the first 1 minute candle will be highlighted, as well as other customizable features. Please let me know if you have any suggestions. Thanks.
KT_Global Bond Yields by CountryGlobal Bond Yields Indicator Summary
The Global Bond Yields by Country indicator, developed for Trading View (Pine Script v5), provides a comprehensive tool for visualizing and analyzing government bond yields across multiple countries and maturities. Below are its key features:
Features
Country Selection: Choose from 20 countries, including the United States, China, Japan, Germany, United Kingdom, and more, to display their respective bond yields.
Multiple Maturities: Supports 18 bond maturities ranging from 1 month to 40 years, allowing users to analyze short-term to long-term yield trends.
Customizable Display:
Toggle visibility for each maturity (1M, 3M, 6M, 1Y, 2Y, 3Y, 4Y, 5Y, 6Y, 7Y, 8Y, 9Y, 10Y, 15Y, 20Y, 25Y, 30Y, 40Y) individually.
Option to show or hide all maturities with a single toggle for streamlined analysis.
10Y-2Y Yield Spread: Plots the difference between 10-year and 2-year bond yields, a key indicator of yield curve dynamics, with an option to enable/disable.
Zero Line Reference: Displays a dashed grey horizontal line at zero for clear visual reference.
Color-Coded Plots: Each maturity is plotted with a distinct color, ranging from lighter shades (short-term) to darker shades (long-term), for easy differentiation.
Country Label: Displays the selected country's name as a large, prominent label on the chart for quick identification.
Error Handling: Alerts users if an invalid country is selected, ensuring robust operation.
Data Integration: Fetches bond yield data from Trading View's database (e.g., TVC:US10Y) with support for ignoring invalid symbols to prevent errors.
This indicator is ideal for traders and analysts monitoring global fixed-income markets, yield curve shapes, and cross-country comparisons.
Alpha Indicator VSTAlpha (α) is a financial theory metric that measures the excess return of a portfolio compared to the expected return calculated using the Capital Asset Pricing Model (CAPM).
Альфа (α) — это показатель из финансовой теории, который отражает избыточную доходность портфеля по сравнению с ожидаемой доходностью, рассчитанной по модели CAPM (Capital Asset Pricing Model).
Beta Indicator VSTIn financial analysis and portfolio management, there is a term called "portfolio return coefficient from the market" or beta coefficient (β).
This is a metric that measures the volatility (risk) of a portfolio in relation to a market index (such as the S&P 500 or Mosbirzhe. Bitcoin for the crypto market.). Beta shows how sensitive a portfolio is to changes in the market.
В финансовом анализе и портфельном управлении есть термин "коэффициент доходности портфеля от рынка" или бета-коэффициент (β).
Это метрика, которая измеряет волатильность (риск) портфеля по отношению к рыночному индексу (например, S&P 500 или Мосбирже. Биткоин для крипторынка.). Бета показывает, насколько чувствителен портфель к изменениям на рынке.
Session Levels — London / 08:30 / 09:30 + Daily/WeeklyThis Key level shows you all the levels during the day, it can be used as support & resistance. You can change the UTC to your own time zone if you want to, but mainly this Indicator is based on UTC-4 NYC Time zone.
REMINDER: This indicator is only meant to guide you to the true key levels during the day, all risks you take is solely on you.
This Indicator is made by BOZOGAMING123 his channel in youtube is, D4X.
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
CryptoThunder Storm v1.21CryptoThunder Storm v1.21 — Strategy (non-repainting, HTF-aware)
CryptoThunder Storm is a Pine v6 strategy that trades the cross of two moving-average variants computed on an alternate (higher) timeframe derived from your current chart. It’s built to be non-repainting by evaluating signals only at HTF bar boundaries and by avoiding lookahead. The script can trade LONG, SHORT, BOTH, or be disabled, and it includes a one-click invert Long/Short mode.
How it works
Two MA streams (Open/Close series).
You can choose from multiple MA types (SMA/EMA/DEMA/TEMA/WMA/VWMA/SMMA/Hull/LSMA/ALMA/SSMA/TMA). The script computes:
closeSeries – MA of the (possibly delayed) close
openSeries – MA of the (possibly delayed) open
Alternate Resolution (HTF).
The inputs allow you to multiply your current chart’s timeframe (e.g., on 5m with multiplier 3 → HTF = 15m). Both series are requested via request.security() with lookahead_off.
Non-repainting gating.
Signals are evaluated once per HTF bar (htfClosed gate). This ensures entries/alerts are aligned with HTF boundaries and prevents forward-shifting.
Entry logic.
Long when closeSeriesAlt crosses above openSeriesAlt.
Short when closeSeriesAlt crosses below openSeriesAlt.
Invert mode swaps these actions (a former long signal opens a short, and vice versa).
Orders are processed on bar close (process_orders_on_close=true).
Risk management (optional).
Optional initial TP/SL exits via strategy.exit() (ticks/points). Set 0 to disable.
Visuals.
The script colors bars (optional) and plots the two HTF series with a filled band, plus compact UP/DN/CL markers that match the executed side after inversion/filtering.
Inputs & configuration
Use Alternate Resolution?
Turns the HTF logic on/off. When off, the strategy uses the chart timeframe.
Multiplier for Alternate Resolution
Multiplies the current timeframe to form the HTF (e.g., 3×).
MA Type / Period / Offsets
MA Type — choose from 12 variants.
MA Period — core length.
Offset for LSMA / Sigma for ALMA — MA-specific tuning.
Offset for ALMA — center of mass for ALMA.
Delay Open/Close MA — shifts the source back by n bars for a more conservative (non-peek) calculation. Keep at 0 unless you know you want extra delay.
Show coloured Bars to indicate Trend?
Colors bars relative to HTF band.
What trades should be taken: LONG / SHORT / BOTH / NONE
Filters which sides are actually traded.
Invert Long/Short logic?
Swaps long ↔ short everywhere (orders, markers, JSON alerts).
Backtest window (Number of Bars for Back Testing)
Crude limiter to speed up testing. 0 = test full history.
TP/SL (Initial Stop Loss / Target Profit Points)
Values in ticks/points. 0 disables. They apply to both sides via strategy.exit().
Alert options
Turn on alerts (JSON)
Show alert marks (UP/DOWN/CLOSE)
Send CLOSE alerts (toggle)
The strategy fires alert() internally. Create an alert on “Any alert() function call”.
The payload is a simple JSON string:{ "text":"C98USDT.P UP"}
Messages:
UP — a long entry was executed (or, with Invert on: the inverted long signal that opens a long).
DOWN — a short entry executed.
CLOSE — position closed or flipped.
Tip: If you want to route long/short to different webhooks, parse the text field for UP, DOWN, or CLOSE
Plotting & markers
Band: Fills between the two HTF MA lines.
Bar color (optional): Quick visual trend cue.
Markers:
▲ “UP” below bar when a long executes.
▼ “DN” above bar when a short executes.
✖ “CL” on position close/flip.
These reflect the final executed side, after trade filters and after Invert mode
Best practices & notes
Non-repainting design.
request.security(..., lookahead_off) prevents future data leakage.
Signals are gated to HTF bar boundaries, so you won’t get intra-HTF recalculations.
Strategy orders are processed at bar close.
Choosing the multiplier.
A 2×–4× multiplier often balances responsiveness vs stability (e.g., 5m→15m or 20m). Larger multipliers reduce churn and false signals.
TP/SL units.
Values are in ticks/points of the chart symbol. On crypto, check your instrument’s tick size and adjust accordingly.
Trade filters apply after inversion.
With invertLS = true and tradeType = LONG, only final longs (post-inversion) are allowed.
Strategy vs chart counts.
The Tester reports closed trades; your chart shows entries/markers including the latest open trade. This can explain 8 vs 12 discrepancies over short windows.
Performance.
calc_on_every_tick=false and the backtest limiter keep the script responsive on long histories.
Tips: user on mid-volume crypto pair, 1M chart, best MA is: SMMA, Hull, SSMA, DEMA, TEMA.
This strategy is for research and education. Markets carry risk; past performance doesn’t guarantee future results. Always forward-test on paper and validate your exchange execution, tick size, and fees before deploying live.
Mucip Kripto 5m Minute Al-Sat Buy-Sell
“This is the technique I use on major cryptocurrencies in the 5-minute timeframe. I combine it with RSI Bands. It can be improved further, and I’m open to ideas.”
LFT Foundation Entry MarksThis algorithm highlights optimal long entry points. Once the entry conditions break down—indicating the price is likely to decline—the signals stop, allowing the user to exit before the drop
Ultimate Indicator [CSN]youtu.be Strategy Rules
Key Levels Identification
Mark Gann Levels on the chart.
These act as major support and resistance zones.
Trade Trigger (Remaining Box Indicator)
If the Remaining Box indicator shows more than 6 ticks in one direction, prepare for a trade in that direction.
This ensures momentum is strong enough to sustain a move.
Supply & Demand Zone Filter
Avoid entries if a strong Supply (for longs) or Demand (for shorts) zone is nearby.
Only take trades in clean zones where price has space to move.
Entry Criteria
Long Trade:
Price bounces or sustains above a Gann Support level.
Remaining Box indicator shows >6 bullish ticks.
No immediate Supply zone above.
Short Trade:
Price rejects or sustains below a Gann Resistance level.
Remaining Box indicator shows >6 bearish ticks.
No immediate Demand zone below.
Risk Management
Stop Loss: Just beyond the Gann level or nearest minor swing point.
Target: Next major Gann level or until momentum weakens (Remaining Box ticks reduce).
Risk-Reward: Minimum 1:2 ratio.
This way, your system becomes rule-based:
Gann levels = structure
Remaining Box = momentum filter
Supply & Demand zones = safety filter
Quantel.io ICT Killzones & PivotsICT Killzones & Pivots
The ICT Killzones & Pivots indicator helps traders visualize key trading sessions and pivot levels for better intraday decision-making. It automatically highlights:
Killzones – major trading sessions (Tokyo, London, New York) with colored boxes.
Pivot Levels – daily, weekly, or custom pivots for support/resistance guidance.
💡 How to Use:
Monitor killzone boxes to time entries and exits during high-volume periods.
Combine pivot levels with session context to anticipate reversals, breakouts, or retests.
Works on all markets (forex, indices, crypto) and all timeframes.
✅ Features:
Color-coded session boxes for clear visual context.
Automatic pivot plotting with adjustable settings.
Lightweight and clean chart display.
⚠️ Disclaimer: This indicator is for educational purposes only. Not financial advice. Always confirm signals with your own analysis and risk management.
Quantel NY Open Break and Retest ModelThe Quantel NY Open Break & Retest Model is a complete trading tool built around the New York session breakout-retest strategy. It automatically identifies key NY session levels and generates ready-to-trade setups with:
Entry Signals – triggered on confirmed break & retest patterns.
Stop Loss (SL) Placement – anchored to structural invalidation levels.
Take Profit (TP) Targets – dynamically mapped using session range and market context.
💡 How to Use:
Designed for intraday traders focusing on New York session volatility (8:30 – 11:30 EST).
Look for signals after the initial NY session impulse move, when liquidity sweeps and retests often occur.
Combine with higher timeframe bias or liquidity indicators for maximum precision.
✅ Features:
Fully automated entry/exit framework for NY session trades.
Adaptive SL/TP placement with risk-reward focus.
Works across assets (indices, forex, crypto) with customizable settings.
⚠️ Disclaimer: This script is for educational purposes only. Not financial advice. Always confirm with your own analysis and apply proper risk management.
