HEAVI - HawkEye Aggregated Volume IndicatorThis is combined Aggregated BTC Exchange Volume by Neobutane with HawkEye volume clone indicator by LazyBear.
Indicator includes aggregated raw BTC volume from 9 user selectable fiat and tether exchanges + Exponential MA + hawkeye bar coloring where: green is bullish volume, red - bearish and white - volume neutral to the market:
Bitfinex
Coinbase
Bitstamp
Kraken
Binance
Poloniex
Bittrex
bitFlyer
Bithumb
Pesquisar nos scripts por "btc期权交割时间"
RSI / Stoch / SRSI / MFI / Aroon Overlay [SigmaDraconis]Combines 4 popular indicators (RSI, Stoch, SRSI, MFI) and 1 peculiar one (Aroon) in 1 for those who want to save indicators but not only.
This is an evolution of my (simpler) "RSI / Stoch / Stoch RSI (SRSI) Overlay " that you can find on my scripts.
Added bands for oversold/overbought areas (70/30 common for RSI and 80/20 for SRSI and MFI), as well as a middle 50 horizontal line.
Neutral bands around 55-45 added as well that can be hidden for less clutter. I also recommend a more transparent coloring for these since Pine script doesn't allow default transparency for horizontal lines.
By default only RSI and Stoch are activated, you can activate Aroon, MFI and SRSI on the inputs window.
Some extra notes:
* RSI, Stoch and MFI can help to strengthen one's decision as well as Aroon to predict a possible trend reversal, SRSI can show when RSI has high probability of being topped or bottomed when oversold/overbought but don't forget to look at volume and how the trend progresses that can keep SRSI above 80 or below 20 while RSI and price continues to trend, divergences are most helpful here to find possible reversal areas.
* This chart depicts some interesting divergences, as well as Stoch tops and bottoms and confluences between RSI/MFI and Stoch on some over-extended tops and bottoms that shown being good reversal zones.
RSI resistances are shown as well, failing to break above 60 or the neutral zone (this is a bearish BTC trend chart after all) or failing to gain support to break up certain levels (RSI notes a more bullish trend when consistently above 60 and more bearish below 40).
If you like it and use it to profit, please tip me below :)
Tip jars:
BTC: 15nMBiEGVrdGcu9C1h6QRcTNRvugHkqrMQ
ETH: 0xC33845946c48B61fBCbEA0367ec2238CaF2b73bc
BTS: sigma-draconis
U&Dif price has moved up since 1 to 3 candles ago = buy
if price has moved down since 1 to 3 candles ago = sell
has internal SL & TP
tested on
BITFINEX:ETHUSD
BITFINEX:BTCUSD
BITFINEX:LTCUSD
BITFINEX:ETHBTC
4 hour charts
XRPBTC long : BTCUSD shortIt will be an index using the price delivered by Bitfinex exchanges. It is a very simple indicator, but it is a recommended index for those who want to see XRP while keeping the risk of price fluctuation of BTC down. The code is simple and you can use XRP in the same way by changing it to another alto. There is a big gap in the prices of BTC and XRP, so we adjust the values so that the indicators are easy to see.
Relative Estimated Price REP by KIVANÇ fr3762Relative Estimated Price (REP) Indicator shows the estimated price calculated if the tickerid made the same value changes (in %) during a certain period.
The default value of the lookback period is 50.
In the given XRPUSD chart you can see that XRPUSD has a value of 0.26480 and the RPC indicator shows the value of 0.38099.
This means that XRP would be 0.38099USD if it was fully made the same percentage moves with BTC , we can say that XRP is RELATIVELY cheap according to BTC price moves.
Conversely XRP would be RELATIVELY expensive if the last value of REP was lower then current XRP price.
users can choose the relative base price in calculation of REP between 1-5 which are:
1=BTCUSD, 2=ETHUSD, 3=EURTRY(Euro/Turkish Lira), 4=USDTRY (Dollar/Turkish Lira), 5=BIST100 (Istanbul Stock Exchange)
I personally advise you to use this indicator for daily charts in Tradingview to have more accurate estimated prices because of the website's calculation.
Developed by KIVANÇ
[NG] Indicator - Altcoin Alpha - v1(Created for Client)
Alpha (Unique price action of asset) indicator for ALTcoins implementation, taking `BINANCE:BTCUSDT` as the market reference. Can be improved by adding more BTC charts from more sources, so as to get a unified chart of BTC for market representation.
Set `alpha period` to a value, wherein you want to see the unique price action of the asset. For short term trend, a value of 24 is good for `1H` charts (1 day), and value of 168 is good for long term trends on `1H` charts (1 week trend).
Corresponding values of `beta period` should be `168` (1 week for 1 day alpha) and `720` (1 month for 1 week alpha period).
You can set `alpha` and `beta` period as per your requirements.
Regards,
TSP Volume Change Big Small// Better Display of Volume change
// green candle : Big volume change
// red Candle : Small volume change
// Default for BTC m5
// Big volume are limited up to $limup% 5%
// Pump : Volume over $limgreen% 2%
// Flat : Very Small Volume under $limdo% 0.2%
// Adjust based on volatility / TF
// BTC/USD 1h : 4,2,0.25
Quote asset VolumeVolume expressed in quote asset units. For pair DOGE/BTC the volume is shown in BTC, instead of DOGE.
Values are imprecise, because each candle's price is calculated as (O+H+L+C)/4, instead of a weighted average one, which I couldn't obtain.
Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA.
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat or crypto/crypto
- Good for "BTC/USD", "ETH/USD", "ETH/BTC"
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Stops = false
Stop, % = any
OHLC4 = any
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 21
Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto")
In the new version 1.8
- The second PriceChannel is added
- Profit became more
- Losses became less
- The unnecessary types of MA are removed
Bitcoin momentum correlation This is a pretty simple indicator, it measures the momentum of bitcoin as compared to usd,eur,eth,dash, and ltc, which you can see in all of the blue lines. If the red line is above zero then it means the overall value of btc is going up, opposite for down. The Ema_window controls how smooth the signal is. If you shorten the Ema_window parameter and open this on higher timeframe btc charts then the zero crossing gives pretty solid signals, despite being pretty choppy. A good way to interpret this is that if all the blue lines are moving in the same direction at once without disagreement, then the value of bitcoin has good momentum.
Mildly more technically:
Momentum is measured in the first derivative of an EMA for each ticker. To normalize the different values against each other they are all divided by their local maximums, which can be chosen in the parameter window, but shouldn't make a huge difference. All the checked values are then summed, as shown in the red line. To include a value into the red line simply keep it checked. Take a look at the script, it's kind of easy on the eyes.
It's pretty handy to look at, but doesn't seem too worthwhile to pursue much further. If someone wants much more out of the script then feel free to message me.
Remember rules #1 & #2
Don't lose money.
Happy trading
RSI+BSIThis script simply plots the current instruments RSI as well as Bitcoin's RSI from bitfinex. Helpful to identify when an alt is performing stronger than BTC or if BTC is dragging the alt down.
Volume Conversion IndicatorVolume Conversion Indicator
The volume conversion indicator is much like the in-built volume indicator. This particular volume indicator allows you to find out how much of something has been traded in a given timeframe.
This is done by multiplying volume by the average price at that point.
What does this mean?
Well, say, for example, you were watching DGB/BTC (DigiByte/Bitcoin). Instead of the volume being displayed in the amount of DGB traded, the amount of BTC traded is displayed instead.
Feel free to comment... Hope this helps :D
Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :)
STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD.
More info: www.investopedia.com
Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC).
For people trading BTC:
-------------------------------
Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)
EMA Trend Pro v1Here is a clear, professional English description you can copy-paste directly (suitable for sharing with friends, investors, brokers, or posting on TradingView):
EMA Trend Pro v5.0 – Strategy Overview
This is a trend-following strategy designed for 15-minute charts on assets like XAUUSD, NASDAQ, BTC, and ETH.
Entry Rules
Buy when the 7, 14, and 21-period EMAs are aligned upward and the 14-period EMA crosses above the 144-period EMA (with ADX > 20 and volume confirmation).
Sell short when the EMAs are aligned downward and the 14-period EMA crosses below the 144-period EMA.
Risk Management
Initial stop-loss is placed at 1.8 × ATR below (long) or above (short) the entry price.
Position size is calculated to risk a fixed percentage of equity per trade.
Profit-Taking & Trade Management
When price reaches 1:1 reward-to-risk, 30% of the position is closed.
At the same moment, the stop-loss for the remaining 70% is moved to the entry price (breakeven).
The remaining position is split:
50% targets 1:2 reward-to-risk
50% targets 1:3 reward-to-risk (allowing big wins during strong trends)
Visualization
Clean colored bars extend to the right showing entry, stop-loss, and three take-profit levels.
Price labels clearly display "Entry", "SL", "TP1 1:1", "TP2 1:2", and "TP3 1:3".
Only the current trade is displayed for a clean chart.
Key Advantages
High win rate due to breakeven protection after 1R
Excellent reward-to-risk ratio that lets winners run
Fully automated, works on any market with clear trends
Professional look, easy to understand and explain
Perfect for swing traders who want consistent profits with limited downside risk.
Feel free to use this description on TradingView, in your trading journal, or when explaining the strategy to others!
If you want a shorter version (e.g., for TradingView description box) or a Chinese version, just let me know — I’ll give it to you right away! 😊
EMA Trend Pro v5.0 5M ONLY — 策略版（1:1出30%+保本）Here is a clear, professional English description you can copy-paste directly (suitable for sharing with friends, investors, brokers, or posting on TradingView):
EMA Trend Pro v5.0 – Strategy Overview
This is a trend-following strategy designed for 15-minute charts on assets like XAUUSD, NASDAQ, BTC, and ETH.
Entry Rules
Buy when the 7, 14, and 21-period EMAs are aligned upward and the 14-period EMA crosses above the 144-period EMA (with ADX > 20 and volume confirmation).
Sell short when the EMAs are aligned downward and the 14-period EMA crosses below the 144-period EMA.
Risk Management
Initial stop-loss is placed at 1.8 × ATR below (long) or above (short) the entry price.
Position size is calculated to risk a fixed percentage of equity per trade.
Profit-Taking & Trade Management
When price reaches 1:1 reward-to-risk, 30% of the position is closed.
At the same moment, the stop-loss for the remaining 70% is moved to the entry price (breakeven).
The remaining position is split:
50% targets 1:2 reward-to-risk
50% targets 1:3 reward-to-risk (allowing big wins during strong trends)
Visualization
Clean colored bars extend to the right showing entry, stop-loss, and three take-profit levels.
Price labels clearly display "Entry", "SL", "TP1 1:1", "TP2 1:2", and "TP3 1:3".
Only the current trade is displayed for a clean chart.
Key Advantages
High win rate due to breakeven protection after 1R
Excellent reward-to-risk ratio that lets winners run
Fully automated, works on any market with clear trends
Professional look, easy to understand and explain
Perfect for swing traders who want consistent profits with limited downside risk.
Feel free to use this description on TradingView, in your trading journal, or when explaining the strategy to others!
If you want a shorter version (e.g., for TradingView description box) or a Chinese version, just let me know — I’ll give it to you right away! 😊
Universal Scalper Indicator [Crypto/Forex/Gold]Universal Scalper Pro is an all-in-one scalping system designed for the 15-Minute Timeframe. It automates the analysis of trend, volatility, and risk management into a single, high-contrast dashboard.
Unlike standard crossover indicators, this system filters out low-volatility "noise" using a built-in ADX engine and automatically calculates dynamic Stop Loss and Take Profit levels based on market volatility (ATR).
It is engineered to work universally on:
Crypto (BTC, ETH, SOL, Altcoins)
Commodities (Gold, Silver, Oil)
Forex (Major & Minor Pairs)
Stocks (High volume tech stocks like NVDA, TSLA)
📈 How It Works (The Strategy)
1. The Trend Engine (9/21 EMA) The core logic utilizes a Fast (9) and Slow (21) Exponential Moving Average crossover.
Bullish Signal: The 9 EMA crosses above the 21 EMA.
Bearish Signal: The 9 EMA crosses below the 21 EMA. This specific combination is chosen for its responsiveness to 15-minute intraday trends.
2. The Noise Filter (ADX > 15) To prevent "whipsaws" (fake signals during sideways markets), the script includes a Volatility Filter based on the Average Directional Index (ADX).
Signals are rejected if the ADX is below 15.
This ensures you only receive alerts when there is sufficient momentum to sustain a move.
3. Dynamic Risk Management (ATR) The script uses the Average True Range (ATR) to calculate Stop Loss and Take Profit levels that adapt to the specific asset's volatility.
Stop Loss: Placed at 1.5x ATR from the entry. (Tight enough to preserve capital, wide enough to survive standard market noise).
Take Profit: Placed at 2.0x ATR from the entry. (Provides a healthy 1:1.3 Risk/Reward ratio).
🚀 Key Features
Universal Dashboard: A bottom-right panel displays the live Trend Status, Entry Price, Stop Loss, and Take Profit. It automatically formats decimals for any asset (e.g., 2 decimals for Gold, 5 for Forex, 8 for Crypto).
"Sticky" Memory: The dashboard retains the prices of the last valid signal, allowing you to manage your trade even after the signal candle closes.
Trend Cloud: A visual Green/Red zone between the EMAs helps you instantly identify the market bias.
Unified Alerts: A single alert setup ("Any alert() function call") sends the Asset Name, Entry, SL, and TP directly to your phone.
🛠️ How to Use
Timeframe: Set your chart to 15 Minutes (15m).
Wait for the Signal: Look for the "BUY" (Green) or "SELL" (Red) label on the chart.
Check the Dashboard: Ensure the "STATUS" is BULLISH (for buys) or BEARISH (for sells). If the status says "WAIT", do not trade.
Execute: Enter the trade using the exact Stop Loss and Take Profit levels shown on the dashboard.
⚠️ Risk Disclaimer
Trading financial markets involves high risk and may not be suitable for all investors. This indicator is a technical analysis tool and does not constitute financial advice. Past performance is not indicative of future results. Always practice with a demo account before trading real capital.
Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST.
Key differences from the classic KST
- Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag.
- This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable.
- ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy.
- Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had.
How traders actually use it in >2026
1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish).
2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly).
3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100).
4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross.
Best settings I and many others run live right now (no table, just the winners)
- Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals.
- Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw.
- Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground.
- Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90.
In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Kernel Regression Trend LineKTrend – Non-Repainting Kernel Regression Trend (2025 Clean Version)
Ultra-clean, powerful, and completely non-repainting trend-following tool based on advanced Kernel regression (Rational Quadratic + Gaussian blend).
How it works:
• Uses two different kernel estimates with smart lag to detect genuine trend reversals
• Plots a thick, beautifully colored trend line (teal when rising, deep red when falling)
• Places precise, locked-in Bullish Flip (green triangle below bar) and Bearish Flip (red triangle above bar) signals only on confirmed bar close – zero repaint, ever
• Optional smoothing mode for even cleaner visuals
Features
✓ 100% non-repainting signals and line
✓ Minimal lag while staying extremely responsive
✓ Clean aesthetic – perfect for BTC, ETH, stocks, forex, any timeframe
✓ Built-in alerts for Bullish & Bearish flips
✓ Fully open source (MPL 2.0)
Default settings are already battle-tested and loved by thousands:
- Lookback Window: 11
- Relative Weighting: 8.0
- Regression Level: 25
- Lag: 2
Great on 1H–Daily charts, especially crypto and indices.
Credits: Original kernel library by jdehorty, cleaned & enhanced flip logic by HighlanderOne.
Enjoy the smoothest, most reliable kernel trend tool on TradingView – completely free!
CME Bitcoin Weekend Gap (Global) @jerikooDescription:
The Problem: You are watching the wrong hours. Many traders assume CME Bitcoin futures follow standard stock market hours or open Monday morning. This is incorrect.
Stock Market: Opens Monday morning.
CME Bitcoin: Opens Sunday Evening (US Time).
If you are in Europe, this means the market actually opens at Midnight (00:00) Monday. If you are waiting for the "Monday Morning Open," you are late.
The Solution: True Gap Detection This indicator highlights the exact downtime of the CME Bitcoin Futures market to help you identify true liquidity gaps.
Why this script is different: Most gap scripts break when you change your chart's time zone (e.g., switching from UTC to New York). This script is Universal.
Hardcoded Exchange Time: It calculates logic based on "America/Chicago" (CME HQ) time, regardless of your local chart settings.
Manual Offset Fix: Some data feeds have a +/- 1 or 2-hour sync difference depending on the broker. This script includes a "Hour Shift" setting to manually align the box perfectly to your specific candles.
How to use:
Add to your chart.
Look for the Dark Green highlighted zone.
This zone represents the Weekend Gap (Friday Close to Sunday Open).
Troubleshooting: If the box starts 1-2 hours too early or too late, go to Settings and change the "Hour Shift" value (e.g., -1, +1) until it snaps perfectly to the Friday close candle.
Technical Details:
CME Close: Friday 16:00 CT
CME Open: Sunday 17:00 CT
Color: Dark Green (50% Transparency)
Step 3: Categories & Tags
Select these options in the right-hand menu of the publishing page.
Category: Trend Analysis OR Bitcoin
Tags: CME Bitcoin BTC Gap Futures Weekend
Step 4: Final Checklist Before Clicking "Publish"
Load the Code: Make sure the "Manual Fix" version of the code (the last one I gave you) is currently open in the Pine Editor.
Add to Chart: You must click "Add to Chart" so the script is visible on your screen before publishing.
Privacy: Select Public (so others can search for it) or Private (if you only want to share the link).
Visibility: Choose Open (so others can see the code) or Protected (if you want to hide the code, though Open is better for simple scripts like this).
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator
The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes.
This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements.
THEORETICAL FOUNDATION
The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not.
The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics):
Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance.
Price Change as Velocity: The rate of price movement through price space represents momentum and directional force.
Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics.
This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way.
MATHEMATICAL FRAMEWORK
The indicator calculates a composite singularity value through four distinct steps:
Step 1: Raw Singularity Calculation
S_raw = (ΔP × V) × γ²
Where:
ΔP = Price Velocity = close - close
V = Volume Mass = log(volume + 1)
γ² = Time Dilation Factor = (ATR_local / ATR_global)²
Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis.
Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware.
Step 2: Normalization
The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation:
S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100
Where S_min and S_max are the lowest and highest raw singularity values over the lookback period.
Step 3: Epsilon Compression
S_compressed = 50 + ((S_normalized - 50) / ε)
This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output:
ε < 1.0: Expands range (more signals)
ε = 1.0: No change (default)
ε > 1.0: Compresses toward 50 (fewer, higher-quality signals)
For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant.
Step 4: Smoothing
S_final = EMA(S_compressed, smoothing_period)
An exponential moving average removes high-frequency noise while preserving trend.
SIGNAL GENERATION LOGIC
When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system:
Scoring Components:
Price Structure (+1 point): Current bar bullish/bearish
Momentum (+1 point): Price higher/lower than N bars ago
Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier)
Acceleration (+1 point): Rate of change increasing/decreasing
Volume Multiplier (×1.5): If volume > average, multiply score
The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation.
Signal Conditions:
A BUY signal requires:
Extreme event detection (tensor crosses threshold)
Bullish score > Bearish score
Price confirmation: Bullish candle (optional, user-controlled)
Volume confirmation: Volume > average (optional, user-controlled)
Momentum confirmation: Positive momentum (optional, user-controlled)
A SELL signal requires the inverse conditions.
INPUTS EXPLAINED - Core Parameters:
Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise.
Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20.
Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals.
Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0.
Signal Interpreter Toggles:
Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry.
Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data).
Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals.
Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias.
Visual Controls:
Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon.
Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls.
Visibility Toggles: Individual on/off switches for:
Gravitational field lines (trend EMAs)
Field reversals (trend crossovers)
Accretion disk (background gradient)
Singularity diamonds (neutral extreme events)
Energy particles (volume bursts)
Event horizon flash (extreme event background)
Signal background flash
Signal Size: Tiny/Small/Normal triangle size
Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price)
Dashboard Settings:
Show Dashboard: Toggle on/off
Position: 9 placement options (all corners, centers, middles)
Text Size: Tiny/Small/Normal/Large
Background Transparency: 0-50, separate from visual transparency
VISUAL ELEMENTS EXPLAINED
1. Accretion Disk (Background Gradient):
A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity.
2. Gravitational Field Lines (EMAs):
Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals.
3. Field Reversals (Circles):
Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts.
4. Singularity Diamonds:
Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking.
5. Energy Particles (Dots):
Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts.
6. Event Horizon Flash:
A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention.
7. Signal Background Flash:
When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met.
8. Signal Triangles:
The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators.
DASHBOARD METRICS EXPLAINED
The dashboard displays real-time calculated values:
Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral).
Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal).
Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg).
Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value.
Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates.
Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction.
Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔
State: Current market condition:
🚀 EJECTION: Buy signal active
💥 COLLAPSE: Sell signal active
⚠ CRITICAL: Extreme event, no directional confirmation
● STABLE: Normal market conditions
HOW TO USE THE INDICATOR
1. Wait for Extreme Events:
The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal.
2. Check Context Scores:
Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade.
3. Confirm with Signals:
Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met.
4. Use with Price Structure:
Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere.
5. Respect the Dashboard State:
When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution.
6. Volume Matters:
Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability.
MARKET AND TIMEFRAME RECOMMENDATIONS
Scalping (1m-5m):
Lookback: 10-14
Smoothing: 5-7
Threshold: 85
Epsilon: 0.5-0.7
Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments.
Intraday (15m-1h):
Lookback: 20-30 (default settings work well)
Smoothing: 3-5
Threshold: 90
Epsilon: 1.0
Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto.
Swing Trading (4h-1D):
Lookback: 30-50
Smoothing: 3
Threshold: 90-95
Epsilon: 1.5-2.0
Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis.
Position Trading (1D-1W):
Lookback: 50-100
Smoothing: 5-7
Threshold: 95
Epsilon: 2.0-3.0
Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves.
Market-Specific Settings:
Forex (EUR/USD, GBP/USD, etc.):
Volume data is unreliable (spot forex has no centralized volume)
Disable "Require Volume Confirmation"
Focus on momentum and trend filters
News events create extreme singularities
Best on 15m-1h timeframes
Stocks (High-Volume Equities):
Volume confirmation is CRITICAL - keep it ON
Works excellently on AAPL, TSLA, SPY, etc.
Morning session (9:30-11:00 ET) shows highest event density
Earnings announcements create guaranteed extreme events
Best on 5m-1h for day trading, 1D for swing trading
Crypto (BTC, ETH, major alts):
Reduce threshold to 85 (crypto has constant high volatility)
Volume spikes are THE primary signal - keep volume confirmation ON
Works exceptionally well due to 24/7 trading and high volatility
Epsilon can be reduced to 0.7-0.8 for more signals
Best on 15m-4h timeframes
Commodities (Gold, Oil, etc.):
Gold responds to macro events (Fed announcements, geopolitical events)
Oil responds to supply shocks
Use daily timeframe minimum
Increase lookback to 50+
These are slow-moving markets - be patient
Indices (SPX, NDX, etc.):
Institutional volume matters - keep volume confirmation ON
Opening hour (9:30-10:30 ET) = highest singularity probability
Strong correlation with VIX - high VIX = more extreme events
Best on 15m-1h for day trading
WHAT MAKES THIS INDICATOR UNIQUE
1. Post-Normalization Sensitivity Control:
Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators.
2. Multi-Factor Confluence Requirement:
The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence.
3. Volatility-Weighted Normalization:
By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context.
4. Volume Integration at the Core:
Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume.
5. Adaptive Scoring System:
Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends."
6. Comprehensive Visual Feedback:
The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit.
7. Separate Extreme Detection and Signal Generation:
"Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable.
COMPARISON TO EXISTING INDICATORS
vs. RSI/Stochastic:
These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position.
vs. Chaikin Money Flow:
CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression.
vs. Bollinger Bands + Volume:
Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized.
vs. MACD:
MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale.
The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator.
LIMITATIONS AND PROPER DISCLOSURE
Not a Holy Grail:
No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management.
Requires Confirmation:
Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly.
Volume Data Dependency:
On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases.
Lagging Components:
The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust.
Extreme Event Rarity:
With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7.
Not Financial Advice:
This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results.
BEST PRACTICES
Don't trade every singularity - wait for context confirmation
Higher timeframes = higher reliability
Combine with support/resistance for entry refinement
Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex)
During major news events, singularities are inevitable but direction may be uncertain - use wider stops
When bullish and bearish flux scores are close, skip the trade
Test settings on your specific instrument/timeframe before live trading
Use the dashboard actively - it contains critical diagnostic information
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains
This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend.
The Core Concept: Alignment is Key
A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade.
The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF).
ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias.
LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend.
How The Signal Is Generated
Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted.
Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction.
Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal.
Mandatory Risk Management: ATR-Based Exit
Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility.
Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital.
Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2.
Final Thoughts on Testing
This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Coinbase Premium Index (Custom Tickers)📊 Coinbase Premium Index (Auto Symbol Support)
1. Overview
The Coinbase Premium Index is a widely used indicator to gauge the sentiment difference between US institutional investors (Coinbase Pro) and global retail/futures traders (Binance).
This script calculates the percentage difference between the Coinbase (USD pair) price and the Binance (USDT pair) price.
2. Key Features
🔄 Auto Symbol Matching (New): You no longer need to manually change tickers when switching charts.
If you are looking at a SOL/USDT chart, the indicator automatically detects "SOL" and compares COINBASE:SOLUSD vs BINANCE:SOLUSDT.
🛠 Manual Mode: Includes a manual override option if you wish to compare specific fixed tickers (e.g., strictly BTC).
🎨 Dynamic Visuals:
Histogram: Color-coded bars (Green/Red) indicate positive or negative premiums.
Smart Label: Displays the real-time premium value on the chart. The label color adapts to the trend, and hovering over it shows a Tooltip confirming exactly which tickers are being compared.
3. How to Interpret
The premium indicates the flow of funds and buying pressure:
🟢 Positive Premium (Green Bar):
Coinbase Price > Binance Price
Interpretation: Strong buying pressure from US institutions or spot whales. Often considered a Bullish signal.
🔴 Negative Premium (Red Bar):
Coinbase Price < Binance Price
Interpretation: Strong selling from US investors, or overheated buying in the offshore futures market (Binance). Often considered a Bearish or mean-reversion signal.
4. Settings Guide
Ticker Mode:
Auto (Current Chart): Automatically sets the comparison based on your current chart's base currency (Recommended).
Manual (Custom): Uses the specific tickers defined in the manual input fields below.
Manual Inputs: Enter tickers here if using Manual Mode (Default: COINBASE:BTCUSD vs BINANCE:BTCUSDT).
Bar & Label Settings: Customize colors, transparency, and the vertical position (Y-Offset) of the data label to fit your chart layout.
