LUBEThis is a chart meant for 30m BTCUSD but could be used for many other assets, and there are inputs to play with.
I decided on the strange title "LUBE" because I was measuring how many of the previous 500 bars had the current price level already been in. I wanted to discover when the price was in a new zone or an area that it hadn't spent much time in recently... the LUBE zone.
Think of the blue line as showing you the current level friction. If the blue line is high, price is quagmired and not moving quickly. Price could trend sideways for a while before breaking out. A high blue line is a high traffic zone for trading. When the blue line dips low, it's encountering a price zone the asset has not been observed in recently, and this could mean price could break out and move more freely and quickly when it does. We get a trade entry signal if the blue line dips below the bottom white line. The bottom white line is currently set to -10. Think about the lowest the blue line has been recently as 0, and the highest as 100. It is set by default (for BTCUSD 30m chart) to -10 meaning the blue line has to dip a little (-10%) below the lowest it has experienced recently to initiate a trade. This is the LUBE zone. The bottom white line shows that level. Again this is a level lower than the lowest amount of friction experienced in price action for the last 100 bars, but offset by 5 bars showing where that level was at 5 bars ago. We want to dip below that to initiate a trade.
The direction to trade in is determined by a very quick moving weighted moving average (variable name is "fir") to see if the recent trend is up or down. To end a trade, an arbitrary number between 0 and 100 is picked telling us when we are experiencing enough friction again to end the trade. I have it preset to 50 (think of it as 50/100 or half way between the white bars. At a 50% friction level it's time to get out of the trade.
Some shortcomings are missing the bulk of big moves, and experiencing whipsaws where price action zips up and then comes straight back down. Overall the backtest looks sweet enough to use on 2x leverage, experiencing a 17.78% max drawdown at the time of publishing. I wouldn't push the leverage any higher.
To get alerts change the word "strategy" to "study" and delete lines 60-67.
Bot traders using alerts: beware the alert conditions. If a trade goes directly from long to short (which happens rarely), without closing a trade first, it might not act properly. If you use bots to trade, for "LONG" please close any old trades first before putting in instructions to open a leveraged long. To go "SHORT" please remember to close any old trade first as well, and things *should* work out just fine.
Good luck, have fun, and feel free to mess up and butcher this code to your own liking. I'm not responsible if anything bad that happens to you if you use this trading system, or for any bugs you may encounter.
Cerca negli script per "bot"
CBMA Bollinger Bands Strategy directed [ChuckBanger]I just did a Bollinger Bands script with my newly CB moving average
While I'm generally against posting strategies because it's very easy to fake performance numbers... This is just to share a cool strategy snippet. My settings are 10 contracts/order with pyramiding set to 10. You can make the profitability a lot higher if you set the order size higher. But that dosent help you getting more out of this script when u make a bot of this script. I set the order size to 10 contracts to get your attention not to showcase the performance.
When the price is going down and outside of the lower side of the band. And when the price comes back into the channel the strategy buys. Usually that means the price is going up. And when the price is going up and outside of the upper band. The strategy sells when it crosses back in to the channel.
It is a very simple strategy but it is effective. I guess you need a proper stop-loss for this script to bee really profitable in a bot environment.
3 HULLs & ICHIMOKU divided by PRICEBasically just another form of moving average, for quick swings, built for testing/use with API cryptobots, simple switch from buy to sell.
Hull MA(2 candles back) times 3 plus Ichimoku divided by price(1 candle back) = value1
Hull MA(3 candles back) times 3 plus Ichimoku divided by price(1 candle back) = value2
if value1>value2 then buy else sell
calculates price from 1 candle back, and calculates signal from 2nd and 3rd candle prices, so no repainting? so best on low timeframes.
for when use in bot, would not need 1 candle lag. Lag is for TV chartists to not have to suffer repainting.
Bots do not repaint. they are not "painting" anything, they simply open or close orders, which cannot be "repainted"
but here on TV chart, when you refresh the browser page, the script recalculates, and signals may be repainted.
hopefully this will not repaint. please test. thankyou
PT Magic Triggers So its me again. I have decided to create Trend Trigger Script for PT Magic addon for a trading bot Profit Trailer. If you do not own this bot and Addon the following explanation will not help you.
For each Trend you define number of minutes and it then calculates the percentage change between the close price now and X candles before.
Same calculation is for all 6 Triggers i beleive that is all you need :)
Hope it helps you all.
LTC: LYHj4WDN7BPu5294cSpqK3SgWSWdDX56Qt
BTC: 1NPVzeDSsenaCS9QdPro877hkMk93nRLcD
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin!
found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** .
I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response.
Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades.
Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script)
** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
Stop ATR Indicator [AlphaGroup.Live]Tralling Stop tool! Perferct for Prop Firm Traders
The Stop ATR is a volatility-based trailing stop that adapts dynamically to market conditions.
It uses the Average True Range (ATR) to plot a continuous “stair-step” line:
• In uptrend , the stop appears below price as a green line, rising with volatility.
• In downtrend , the stop appears above price as a red line, falling with volatility.
Unlike fixed stops, the Stop ATR never moves backward . It only trails in the direction of the trend, locking in profits while leaving room for price to move.
Key features:
• ATR-based trailing stop that adapts to volatility.
• Clean “one line only” design — no overlap of signals.
• Adjustable ATR period and multiplier for flexibility.
• Color-coded visualization for quick trend recognition.
How traders use it:
• Manage trades with volatility-adjusted stop placement.
• Identify trend reversals when price closes across the stop.
• Combine with other entry signals for a complete strategy.
About us:
AlphaGroup.Live develops battle-tested trading systems and tools for real traders — indicators, bots, dashboards, and strategy manuals.
Visit alphagroup.live to get our free eBook: The Ultimate 100 Trading Strategies .
HiLo Stop Indicator [AlphaGroup.Live]Don't give your money back!
The HiLo Stop is a classic trend-following tool designed to keep trading simple and disciplined.
It plots a single continuous “stair-step” line that switches sides when the trend changes:
• In uptrend , the line appears below price as a green stop.
• In downtrend , the line appears above price as a red stop.
This indicator is commonly used as:
• A trailing stop to protect open profits.
• A trend filter to confirm buy/sell direction.
• A visual guide to avoid trading against the trend.
Key features:
• Clean “one line only” design — never plots both sides at once.
• Adjustable HiLo period for sensitivity control.
• Color-coded trend visualization for quick decision making.
How traders apply it:
• Take trades in the direction of the HiLo line.
• Place stop-loss orders at or near the line.
• Close or reverse positions when price closes across the stop.
About us:
AlphaGroup.Live develops battle-tested trading systems and tools for real traders — indicators, bots, dashboards, and strategy manuals.
Visit alphagroup.live to get our free eBook: The Ultimate 100 Trading Strategies .
MACD StrategyOverview
The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks).
#### How It Works
This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction:
- **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum.
- **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum.
Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility.
#### Key Features
- **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis.
- **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio.
- **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking.
- **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time.
#### Input Parameters
- **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing.
- **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity.
- **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation.
- **MACD Signal Length**: Default 9 – The smoothing period for the signal line.
- **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300).
- **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3).
- **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR).
- **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio.
- **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart.
- **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines.
- **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility.
#### How to Use
1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe).
2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops.
3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts.
4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks.
5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency.
#### Tips for Success
- **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals.
- **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability.
- **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed.
- **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures.
#### Limitations
- This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed.
- Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading.
#### Conclusion
The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Range FinderRange Finder Strategy for TradingView
Overview
The Range Finder Strategy is a sophisticated trading system designed for forex and cryptocurrency markets, leveraging dynamic range detection, wick-based rejection patterns, and EMA confluence to execute high-probability trades. This strategy identifies key price ranges using pivot points and triggers trades when price rejects from these boundaries with significant wick formations, aligning with the broader market trend as confirmed by EMA crossovers. It incorporates robust risk management, customizable parameters, and visual aids for clear trade visualization, making it suitable for both manual and automated trading on platforms like Bitget via webhook alerts.
Strategy Components
1. Dynamic Range Detection
Pivot Points: The strategy identifies range boundaries using pivot highs and lows, calculated with a user-defined Pivot Length (default: 5 bars left/right). These pivots mark significant swing points, defining the upper (range high) and lower (range low) boundaries of the price range.
Visualization: The range high is plotted as an orange line, and the range low as a purple line, using a broken line style (plot.style_linebr) to show only confirmed pivot levels, providing a clear visual of the trading range.
2. Wick-Based Rejection Pattern
Wick Detection: The strategy looks for rejection candles at the range boundaries, characterized by significant wicks. A wick is considered valid if its size is at least the user-defined Wick to Body Ratio (default: 1.1, or 10% larger than the candle body).
Sell Signal: Triggered when the high exceeds the range high, the candle closes bearish (close < open), and the upper wick meets the ratio requirement.
Buy Signal: Triggered when the low falls below the range low, the candle closes bullish (close > open), and the lower wick meets the ratio requirement.
Purpose: These wicks indicate strong rejection at key levels, often signaling a reversal back into the range, providing high-probability entry points.
3. EMA Trend Confirmation
EMA Calculation: Uses two Exponential Moving Averages (EMAs) calculated on a user-selectable timeframe (default: 5-minute):
EMA 200: Long-term trend indicator (plotted in red).
EMA 50: Short-term trend indicator (plotted in green).
Crossover Logic:
A bullish trend is confirmed when the EMA 50 crosses above the EMA 200 (ema_trend_up = true).
A bearish trend is confirmed when the EMA 50 crosses below the EMA 200 (ema_trend_down = true).
Confluence Requirement: Trades are only executed when the wick rejection aligns with the EMA trend (e.g., sell signals require close < ema200 and bearish trend; buy signals require close > ema200 and bullish trend).
4. Risk Management
Position Sizing: Calculated based on the user-defined Account Balance (default: $10,000) and Risk Per Trade (default: 2%). The position size is determined as risk_amount / stop_distance, where stop_distance is derived from the Average True Range (ATR, default period: 14).
Stop Loss (SL): Set using an ATR-based multiplier (SL Multiplier, default: 9.0). For sells, SL is placed above the high; for buys, below the low.
Take Profit (TP): Set using an ATR-based multiplier (TP Multiplier, default: 6.0) scaled by the Risk:Reward Ratio (default: 6.0), ensuring a favorable reward-to-risk profile.
Example: For a $10,000 account with 2% risk, if ATR is 0.5, the position size is 400 units, with SL and TP dynamically adjusted to market volatility.
5. Trade Execution
Sell Entry: Triggered on a wick rejection above the range high, with bearish EMA confluence (ema_trend_down and close < ema200). Enters a short position with calculated SL and TP.
Buy Entry: Triggered on a wick rejection below the range low, with bullish EMA confluence (ema_trend_up and close > ema200). Enters a long position with calculated SL and TP.
Exit Logic: Uses strategy.exit to set SL and TP levels, closing trades when either is hit.
6. Visual Feedback
Lines and Labels: Upon trade entry, the strategy plots:
Red SL line and label (e.g., "SL: 123.45").
Green TP line and label (e.g., "TP: 120.00").
Entry line (red for sell, green for buy) labeled with "Sell (Range Rejection)" or "Buy (Range Rejection)".
Customization: Users can adjust the Line Length (default: 25 bars) for how long lines persist and Label Position (left or right) for optimal chart visibility.
7. Alert Conditions
Webhook Integration: Generates alerts for Bitget webhook integration, providing JSON-formatted messages with trade details (action, contracts, market position, size, price, symbol, and timestamp).
Usage: Traders can set up automated trading by connecting these alerts to trading bots or platforms supporting webhooks.
KAMA Trend Flip - SightLing LabsBuckle up, traders—this open-source KAMA Trend Flip indicator is your ticket to sniping trend reversals with a Kaufman Adaptive Moving Average (KAMA) that’s sharper than a Wall Street shark’s tooth. No voodoo, no fluff—just raw, volatility-adaptive math that dances with the market’s rhythm. It zips through trending rockets and chills in choppy waters, slashing false signals like a samurai. Not laggy like the others - this thing is the real deal!
Core Mechanics:
• Efficiency Ratio (ER): Reads the market’s pulse (0-1). High ER = turbo-charged MA, low ER = smooth operator.
• Adaptive Smoothing: Mixes fast (default power 2) and slow (default 30) constants to match market mood swings.
• Trend Signals: KAMA climbs = blue uptrend (bulls run wild). KAMA dips = yellow downtrend (bears take over). Flat = gray snooze-fest.
• Alerts: Instant pings on flips—“Trend Flip Up” for long plays, “Down” for shorts. Plug into bots for set-and-forget domination.
Why It Crushes:
• Smokes static MAs in volatile arenas (crypto, stocks, you name it). Backtests show 20-30% fewer fakeouts than SMA50.
• Visual Pop: Overlays price with bold blue/yellow signals. Slap it on BTC 1D to see trends light up like Times Square.
• Tweakable: Dial ER length (default 50) to your timeframe. Short for scalps, long for swing trades.
Example Settings in Action:
• 10s Chart (Hyper-Scalping): Set Source: Close, ER Length: 100, Fast Power: 1, Slow Power: 6. Catches micro-trends in crypto like a heat-seeking missile. Blue/yellow flips scream entry/exit on fast moves.
• 2m Chart (Quick Trades): Set Source: Close, ER Length: 14, Fast Power: 1, Slow Power: 6. Perfect for rapid trend shifts in stocks or forex. Signals align with momentum bursts—check historical flips for proof.
Deployment:
• Drop it on any chart. Backtest settings to match your asset’s volatility—tweak until it sings.
• Pair with RSI or volume spikes for killer confirmation. Pro move: Enter on flip + volume pop, exit on reverse.
• Strategy-Ready: Slap long/short logic on alerts to build a lean, mean trading machine.
Open source from SightLing Labs—grab it, hack it, profit from it. Share your tweaks in the comments and let’s outsmart the market together. Trade hard, win big!
Volatility Zones (VStop + Bands) — Fixed (v2)📝 What this indicator is
This script is called “Volatility Zones (VStop + Bands)”.
It is an ATR-based volatility indicator that combines dynamic volatility bands, a Volatility Stop line (VStop), and volatility spike detection into a single tool.
Unlike moving average–based indicators, this tool does not rely on averages of price direction. Instead, it measures the market’s true volatility and reacts to expansions or contractions in price ranges.
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⚙️ How it is built
The indicator uses several volatility-based components:
1. Average True Range (ATR)
o ATR is calculated over a user-defined length.
o It measures how much price typically moves in a given number of bars, making it the foundation of this indicator.
2. Volatility Bands
o Upper band = close + ATR × factor
o Lower band = close - ATR × factor
o The area between them is shaded.
o This gives traders an immediate visual sense of market volatility width — wide bands = high volatility, narrow bands = quiet market.
3. Volatility Stop (VStop)
o A stateful trailing stop based on ATR.
o It tracks the highest (or lowest) price in the current trend and places a stop offset by ATR × multiplier.
o When price crosses this stop, the indicator flips trend direction.
o This creates a dynamic stop-and-reverse mechanism that adapts to volatility.
4. Trend Zones
o When the trend is bullish, the stop is green and the chart background is shaded softly green.
o When bearish, the stop is red and the background is shaded softly red.
o This makes the market’s directional bias visually clear at all times.
5. Flip Signals (Buy/Sell Arrows)
o Whenever the VStop flips, arrows appear:
Green BUY arrows below price when the trend turns bullish.
Red SELL arrows above price when the trend turns bearish.
o These are also tied to built-in alerts for automation.
6. Volatility Spike Detection
o The script compares current ATR to its recent average.
o If ATR suddenly expands above a threshold, a small yellow “VOL” marker appears at the top of the chart.
o This highlights potential breakout phases or unusual volatility events.
7. Stop Labels
o At every trend flip, a small label appears at the bar, showing the exact stop level.
o This makes it easy to use the stop as a reference for risk management.
________________________________________
📊 How it works in practice
• When price is above the VStop line, the market is considered in an uptrend.
• When price is below the VStop line, the market is in a downtrend.
• The bands expand/contract with volatility, helping traders gauge risk and position sizing.
• Flip arrows signal when trend direction changes.
• Volatility spikes warn traders that the market is entering a higher-risk phase, often before strong moves.
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🎯 How it may help traders
• Trend following → Helps traders identify whether the market is trending up or down.
• Stop placement → Provides a dynamic stop level that adjusts to volatility.
• Volatility awareness → Shaded bands and spike markers show when the market is likely to become unstable.
• Trade timing → Flip arrows and labels help identify potential entry or exit points.
• Risk management → Wide bands indicate higher risk; narrow bands suggest safer, tighter ranges.
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🌍 In what markets it is useful
Because the indicator is based purely on volatility, it works across all asset classes and timeframes:
• Stocks & ETFs → Helps identify breakouts and long-term trends.
• Forex → Very useful in spot FX where volatility shifts frequently.
• Crypto → ATR reacts strongly to high volatility, helping traders adapt stops dynamically.
• Futures & Commodities → Great for tracking trending commodities and managing risk.
Scalpers, swing traders, and position traders can all benefit by adjusting the ATR length and multipliers to suit their trading style.
________________________________________
💡 Originality of this script
This is not just a mashup of existing indicators. It integrates:
• ATR-based Volatility Bands for context,
• A stateful Volatility Stop (adapted and rewritten cleanly),
• Flip arrows and labels for actionable trading signals,
• Volatility spike detection to highlight regime shifts.
The result is a comprehensive volatility-aware trading tool that goes beyond just plotting ATR or trend stops.
________________________________________
🔔 Alerts
• Buy Flip → triggers when the trend changes bullish.
• Sell Flip → triggers when the trend changes bearish.
Traders can connect these alerts to automated strategies, bots, or notification systems.
Spice • Micro Suite (T/r & B/r)What it is
A single Pine v5 indicator that stacks:
EMA ribbon + a “special” EMA (11 vs 34) line that flips color on trend.
MTF-RSI “pressure” check with simple up/down arrows.
Bollinger-Band re-entry system with Top/Bottom triggers (T/B) and confirmations (r) in the next N bars.
Classic candlestick add-ons: 3-Line Strike and Leledc exhaustion dots.
Your Micro Dots engine (ATR-based regime + Variable Moving Average filter) + an optional VMA trend line.
Alerts for all the above.
Key signals (what prints on the chart)
EMAs (20/50/100/200): plotted faintly; EMA-34 is drawn and colored by the 11>34 trend.
RSI arrows
Checks RSI(6) on the current TF and (optionally) 5m/15m/30m/1h/4h/1D.
Down arrow: current RSI > 70 and the selected higher TF RSIs are also > 70 (pressure cluster just cooled; barssince(redZone)<2).
Up arrow: current RSI < 30 and selected higher TFs also < 30 (barssince(greenZone)<2).
Bollinger Reversals (your update)
T (Top trigger): first close back inside the upper BB (crossunder(close, upper)).
B (Bottom trigger): first close back inside the lower BB (crossover(close, lower)).
r (Confirm): within the next confirmBars bars (input), price also
closes below the T-bar’s low → top r above bar
closes above the B-bar’s high → bottom r below bar
Bar tinting
Only the T/B trigger bars are tinted (yellow/orange). Everything else stays your normal candle colors (unless you add the optional “trend candles” block I gave you).
3-Line Strike
Prints a small green/red circle when the 3-line strike pattern appears (bull/bear).
Leledc Exhaustion
Calculates a running buy/sell index; prints a small ∘ at major highs/lows when exhaustion conditions hit (major==-1 high, major==1 low).
Micro Dots (your second script, merged)
ATR “micro supertrend” defines regime (up/down).
A fast Variable Moving Average + a simple MA(18) filter.
Green dot below bar when: VMA < price, price > MA(18), regime up, and VMA not pointing down.
Red dot above bar for the bearish mirror.
Separate VMA trend line (length = Fast/Med/Slow) that colors green/red/orange by slope.
Inputs you’ll care about
Top/Bot Reversal → confirmBars (how many bars you allow to confirm the T/B trigger).
RSI Timeframes → toggle which HTFs must agree with the OB/OS condition.
EMAs → show/hide and lengths.
BB → show/hide basis/bands (used for T/B even if hidden).
Micro → show dots, show VMA line, choose intensity (Fast/Med/Slow).
Alerts
Prebuilt alerts for: RSI Up/Down, T/B triggers, T/B confirmations, 3-Line Strike bull/bear, Leledc highs/lows, EMA crosses (20/50/100/200), the special 11/34 trend change, Micro Dots, and VMA price cross. (Alert messages are const strings so they compile cleanly.)
How to read clusters (quick playbook)
Reversal short: see T on/near upper band → get an r within your window → bonus confidence if an RSI down arrow or Leledc ∘ high shows up around the same time.
Reversal long: mirror with B then r, plus RSI up arrow / Leledc ∘ low.
Continuation: ignore lone T/B if Micro Dot stays green (or red) and EMA-11 > EMA-34 remains true.
Why your candles look “normal”
By design, the script only colors bars on T or B trigger bars. If you want always-on trend candles, use the small block I gave you to color by EMA(20/50) (or any rule you like) and let T/B override on trigger bars.
Hassi XAUUSD STRATEGY BOTGold (XAUUSD) 15m trend+momentum based signals with EMA(9/21/200), RSI, custom ADX, ATR-based SL/TP & alerts
Works on XAUUSD 15m.
Entry: EMA9/21 cross + price relative to EMA200 + RSI filter + custom ADX trend strength.
Risk: default SL=1.5×ATR, TP=2×ATR (editable).
Notes: No financial advice. Backtest before live use. Avoid high-impact news whipsaws.
Multi-Signal Entry V1Multi‑Signal Entry v1 – (clean, versioned for tracking changes)
SQQQ Entry Scanner – (specific to your use case)
TQQQ/SQQQ Buy Alert – (clear that it’s for both sides if you add short logic later)
VWAP RSI ATR Vol Spike – (great if you want a technical name showing what’s used)
Fast Entry Signal Bot – (if you want a simple, trading-friendly name)
8/30 SMA Pullback + ATR Exits (Crypto)A tryout using LLM to see if it can apply to bots using SMA pullbacks with ATR exits for crypto
Test Bot: Bearish Buy / Bullish SellFor testing the connection between TradingView and your brokerage. Use with a demo account if possible.
Benford's Law Actual [Tagstrading]Benford’s Law Chart — First Digit Analysis of Percentage Price Drops
This script visualizes the distribution of the leading digit in the percentage change of price drops, and compares it to the theoretical distribution expected by Benford’s Law.
It helps traders, analysts, and quants to detect anomalies, unnatural behavior, or price manipulation in any asset or timeframe.
How to Use
Add to any chart or symbol (stocks, crypto, FX, etc.) and select the timeframe you wish to analyze.
Set the “Number of Bars to Analyze” input (default: 500) to control the length of the historical window.
The chart will display, for the latest window:
A blue line: the actual leading-digit distribution for percentage price changes between bars.
A red line: the expected distribution per Benford’s Law.
Labels below and above: digit markers and the expected (theoretical) percentages.
Summary panel on the right: frequency counts and actual vs. theoretical % for each digit.
Interpretation:
If your actual (blue) curve or digit counts are significantly different from the red Benford’s Law curve, it could indicate unnatural price action, fraud, bot activity, or structural anomalies.
Why is this useful for TradingView?
Financial forensics: Benford’s Law is a classic tool for detecting data manipulation and fraud in accounting. On charts, it can reveal if price movements are statistically “natural.”
Transparency and confidence: Helps communities audit markets, brokers, or exchanges for irregularities.
Adaptable: Works on any market, any timeframe.
What makes this script unique?
Focuses on % price changes, not raw prices.
This provides a fair comparison across assets, symbols, and timeframes.
Measures only the direction and magnitude of drops/rises — more suitable for detecting manipulation in active markets.
Clear and customizable visualization:
The Benford line, actual data, and summary are all visible and readable in one glance.
Optimized for speed and clarity (runs efficiently on all major charts).
How is it different from stg44’s Benford’s Law script?
This script analyzes the leading digit of percentage price changes (i.e., how much the price drops or rises in %),
while the original by stg44 analyzes the leading digit of price itself.
Results are less sensitive to price scale and more comparable across volatile and non-volatile assets.
The summary panel clearly shows ( ) for actual and for Benford theoretical values.
Full code is commented and open for the community.
Credits and Inspiration
This script was inspired by “Benford’s Law” by stg44:
Thanks to the TradingView community for sharing powerful visual ideas.
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By tags trading
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BERLIN-MAX 1V.5BERLIN-MAX 1V.5 is a comprehensive trading indicator designed for TradingView that combines multiple advanced strategies and tools. It integrates EMA crossover signals, UT Bot logic with ATR-based trailing stops, customizable stop-loss and target multipliers per timeframe, Hull Moving Averages with color-coded trends, linear regression channels for support and resistance, and a multi-timeframe RSI and volume signal table. This script aims to provide clear entry and exit signals for scalping and swing trading, enhancing decision-making across different market conditions.
✅ BACKTEST: UT Bot + RSIRSI levels widened (60/40) — more signals.
Removed ATR volatility filter (to let trades fire).
Added inputs for TP and SL using ATR — fully dynamic.
Cleaned up conditions to ensure alignment with market structure.
Trailing TP Bot • Crossover-based Trend Strategy using two simple moving averages (SMAs)
• Includes Take Profit and optional Trailing Take Profit
• Trades both long and short
• No pyramiding, i.e., one position at a time
World-Class Crypto Strategy version 9 - BTC/ETH/SOL/XRP + MLScript intended to mirror BlackRock strategies and be used with fully integrated trading bot
Zone Shift [ChartPrime]⯁ OVERVIEW
Zone Shift is a dynamic trend detection tool that uses EMA/HMA-based bands to determine trend shifts and plot key reaction levels. It highlights trend direction through colored candles and marks important retests with visual cues to help traders stay aligned with momentum.
⯁ KEY FEATURES
Dynamic EMA-HMA Band:
Creates a three-line channel using the average of an EMA and HMA for the midline, and expands it using average candle range to form upper and lower bounds. This band visually adapts to market volatility.
float ema = ta.ema(close, length)
float hma = ta.hma(close, length-40)
float dist = ta.sma(high-low, 200)
float mid = math.avg(ema, hma)
float top = mid + dist
float bot = mid - dist
Trend Detection (Band Cross Logic):
Detects an uptrend when the Low crosses above the top band.
Detects a downtrend when the High crosses below the bottom band.
Bars change color to lime for uptrends and blue for downtrends.
Trend Initiation Level:
At the start of a new trend, the indicator locks in the extreme point (low for uptrend, high for downtrend) and plots a dashed horizontal level, serving as a potential retest zone.
Trend Retest Signal:
If price crosses back over the Trend Initiation level in the direction of the trend, a diamond label (⯁) is plotted at the retest point — confirming that price is revisiting a key shift level.
Visual Band Layout:
Midline: Dashed line shows the average of EMA and HMA.
Top/Bottom: Solid lines showing dynamic thresholds above/below the midline.
These help visualize compression, expansion, and possible breakout zones.
Color-Based Candle Plotting:
Candles are recolored in real time according to the current trend, allowing instant visual alignment with the market’s directional bias.
Noise-Filtered Retests:
To avoid repetitive signals, retests are only marked if they occur more than 5 bars after the previous one — filtering out minor fluctuations.
⯁ USAGE
Use colored candles to align trades with the dominant trend.
Treat dashed trendStart levels as important support/resistance zones.
Watch for ⯁ diamond labels as confirmation of retests for continuation or entry.
Use band boundaries to assess trend strength and volatility expansion.
Combine with your existing setups to validate momentum and zone shifts.
⯁ CONCLUSION
Zone Shift helps traders visually capture trend changes and key reaction points with precision. By combining band breakouts with real-time retest signals and trend-colored candles, this tool simplifies the process of reading market structure shifts and identifying high-confluence entry areas.