FlowTrinity — Crypto Dominance Rotation IndexFlowTrinity — Crypto Dominance Rotation Index
(Tracks BTC / Stablecoin / Altcoin dominance flows with standardized oscillators)
⚪ Overview
FlowTrinity decomposes total crypto market structure into three capital-flow regimes — BTC dominance, Stablecoin dominance, and Altcoin dominance — each normalized into oscillator form. Additionally, a fourth histogram tracks Total Market Cap expansion/contraction relative to BTC+Stable capital, revealing underlying rotation pressure not visible in raw dominance charts.
Each component is standardized through SMA/STD normalization, producing smoothed 0–100 style oscillations that highlight overbought/oversold rotation extremes, risk-on/risk-off transitions, and capital cycle inflection zones.
⚪ Flow Components
Stablecoin Dominance Oscillator —White line
Measures the combined USDT + USDC share of market dominance.
High values indicate increased hedging behavior or sidelined capital.
Low values coincide with renewed risk appetite and capital deployment into crypto assets.
Altcoin Dominance Oscillator — Orange Line
Tracks the share of liquidity rotating into altcoins (Total – BTC – Stable).
Rising values indicate broad market expansion and speculative activity.
Falling values reflect flight-to-safety or concentration back into majors.
BTC Dominance Oscillator — Purple line(off by default
Normalized BTC dominance revealing transitions between Bitcoin-led markets and altcoin-led cycles. Useful for identifying BTC absorption phases vs. altcoins dispersion regimes.
Total–BTC–Stable MarketCap Difference Histogram — histogram
A normalized histogram of total market cap change minus BTC+Stable market cap change.
• Positive → altcoin segment expanding
• Negative → capital retreating into BTC or stables
Acts as a structural layer confirming or contradicting dominance-based signals.
Normalization Logic
All flows use SMA + standard deviation scaling (lookback 7 / smoothing 7), enabling consistent comparison across unrelated dominance and market-cap metrics.
⚪ Use Cases
• Identify shifts between BTC-led and alt-led markets
• Detect early signs of liquidity rotation
• If Stablecoin OSC is oversold, liquidity may soon rotate to BTC or Altcoins, signaling potential price moves.
• If Stablecoin OSC is overbought and Altcoin OSC is oversold, it can indicate an early buying opportunity in Altcoins.
• Watching these oscillator positions helps spot early market rotations and plan entries or exits.
snapshot
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice or investment guidance. Cryptocurrency trading involves significant risk; you are solely responsible for your trading decisions, based on your financial objectives and risk tolerance. The author assumes no liability for any losses arising from the use of this tool.
インジケーターとストラテジー
KIMATIX INFOS – CoreKIMATIX INFOS – Core is a professional trend and entry framework designed to identify market regime shifts, confirm directional bias, and generate high-probability trade signals.
This system blends volume flow, higher-timeframe directional context, and momentum behavior to detect genuine trend transitions while filtering out chop and noise. Trend phases are visualized through an adaptive channel, and trade signals only trigger when structure, bias, and momentum align.
The indicator displays:
Validated trend phases via dynamic trend channels
Long/Short bias based on delta flow and directional structure
Hybrid entry signals combining momentum, structure, and trend
Visual signals for the most recent trend shifts
Built for traders who want clean trend entries, controlled pullback timing, or early trend reversal detection.
Works as a standalone tool or as a modular core logic inside automated systems.
Key Features
• Trend filter to separate trending vs. sideways markets
• Adaptive channel acting as dynamic support/resistance
• Hybrid signal engine that activates only with confirmed trend context
• Arrow markers displaying the latest trend initiations
• Ready-to-use alert conditions for automatic signaling
Benefits for Traders
• Avoids chop and false breakouts
• Captures impulsive directional movement precisely
• Provides clear market direction and real-time validation
• Suitable for scalpers, day traders, and swing traders
• Supports institutional logic
CISD Trend Candle - EMA + Always MACDThis indicator combines trend detection using EMA with constant MACD cross signals to provide a clear visual understanding of market direction and potential entry/exit points.
■ 1. Trend Detection with EMA (Candle Coloring)
Calculates an EMA (default: 21).
Checks whether the last n candles (default: 5):
Close above the EMA → Uptrend (Blue candles)
Close below the EMA → Downtrend (Red candles)
Otherwise → Neutral (Gray candles)
Candle colors automatically change to show the current market trend at a glance.
■ 2. Always-Visible MACD Golden/Dead Cross Signals
Based on MACD settings (12, 26, 9)
Golden Cross → Blue upward triangle below the bar
Dead Cross → Red downward triangle above the bar
Signals are always displayed, regardless of trend state, making them useful for timing entries and exits.
■ 3. EMA Line Display
The EMA used for trend detection is plotted as an orange line.
🎯 Ideal Use Cases
This indicator is designed for traders who want to:
Quickly visualize trend direction through candle colors
Always monitor MACD cross signals
Improve decision-making with simple, intuitive visual cues
Tamil | Trend Signal Dashboard for trading“Tamil | Trend Signal in Dashboard” is a multi-confirmation trend and signal tool that combines Supertrend, RSI/ADX trend strength, and dual QQE into one clean dashboard on the chart. It only prints STRONG BUY / STRONG SELL when all components align, and it also gives clear, rule-based exit signals.
⸻
What it uses
• RSI + ADX + ATR trend block
• ADX (with custom length & threshold) to measure trend strength
• +DI / –DI to define bullish or bearish direction
• Optional session filter so signals only appear in your trading window
• Custom Supertrend
• ATR-based bands with adjustable period & multiplier
• Plots trend line on chart and shows Buy/Sell flip labels when Supertrend reverses
• Dual QQE MOD engine
• Two QQE/RSI streams (primary & secondary)
• Bollinger bands around QQE line to confirm true momentum breakouts
• Defines QQE Bullish / Bearish states
• Secondary RSI Histogram logic
• Tracks RSI distance from the 50 line
• Detects “peak & decline” on the histogram for momentum-based exits
⸻
Signals & Exits
• Entry
• Strong Buy: Supertrend bullish + strong ADX + DI bullish + QQE bullish
• Strong Sell: Supertrend bearish + strong ADX + DI bearish + QQE bearish
• Background is softly colored green/red while alignment is active
• Exit (configurable)
• Alignment lost (trend components no longer agree), and/or
• First peak-and-decline in the secondary RSI histogram
• Shows Exit Buy / Exit Sell markers and fires dedicated alerts
⸻
Dashboard & Alerts
A compact table in the top-right shows live status of:
• Supertrend
• ADX value & strength check
• Direction from DI
• QQE state
• Secondary RSI histogram slope
• Overall Alignment and current Signal (Hold / Strong Buy / Strong Sell / Exit)
ULTRA PLATINUM V51. LONG (BUY) SETUP
When to Enter:
Signal: Wait for a Blue "AL" Label to appear below the candle.
Bar Color: The candle body should turn Green (indicating a strong bullish trend).
Panel Confirmation (Right Corner):
Squeeze Momentum: Should show "MOMENTUM LONG" (Green).
Market Type: Should say "TREND VAR" (Green). If it says "YATAY (RISKLI)" or "CHOPPY", it is better to wait.
EMA Safety: Should say "GÜVENLİ" (Safe).
Action:
Open a Long position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Set your targets to the prices shown under "KAR AL 1" (TP1) and "KAR AL 2" (TP2).
2. SHORT (SELL) SETUP
When to Enter:
Signal: Wait for an Orange "SAT" Label to appear above the candle.
Bar Color: The candle body should turn Red (indicating a strong bearish trend).
Panel Confirmation:
Squeeze Momentum: Should show "MOMENTUM SHORT" (Red).
Market Type: Should say "TREND VAR".
EMA Safety: Should say "GÜVENLİ".
Action:
Open a Short position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Use the TP1 and TP2 levels from the Panel.
3. RE-ENTRY STRATEGY (Scaling In)
This feature allows you to increase your position size if the trend continues.
Long Re-Entry: Look for a small Green Triangle below the bar. This means the price pulled back slightly and is now pushing up again (RSI crossover). You can add to your Long position here.
Short Re-Entry: Look for a small Red Triangle above the bar. You can add to your Short position here.
4. CRITICAL WARNINGS (When NOT to Trade)
Gray Candles: If the candles are Gray, the market is indecisive. Avoid entering new positions even if you see a signal.
Squeeze Mode: If the Panel says "SIKIŞMA VAR (BEKLE)" (Squeeze On), it means volatility is very low. A big move is coming, but the direction is uncertain. Wait until the squeeze breaks and the panel changes to Momentum Long or Short.
High Risk: If the panel says "ÇOK YAKIN (RİSK)" regarding the EMA, the price is too close to the 200 EMA. This often acts as a magnet or a wall; proceed with caution.
FAIR VALUE CEDEARSFair Value CEDEARS y ETFs
Important: load together with the CEDEARdata library.
Returns the “Fair Value” of CEDEAR and CEDEAR-based ETF prices traded on ByMA, using as a reference the price of the underlying ordinary share or ETF traded on the NYSE or NASDAQ. It multiplies the NYSE/NASDAQ price by the CEDEAR or ETF conversion ratio and converts the currency to ARS or Dólar MEP using the exchange rate implied by the AL30/AL30C ratio for tickers quoted in ARS (e.g., AAPL) and AL30D/AL30C for tickers quoted in Dólar MEP (e.g., AAPLD).
If the CEDEAR or ETF quote is higher than Fair Value, it highlights the difference in red; if it is lower, it highlights it in green. If any of the markets is closed or in an auction period, it notifies the user and changes the background color.
By default, the CEDEAR or ETF quote used is the last price, but the user may choose to use the BID or OFFER instead. This allows CEDEAR and ETF buyers to compare Fair Value against the OFFER, while sellers may prefer to measure Fair Value against the BID of the local instrument.
BCBA:AAPL
BCBA:AAPLD
NASDAQ:AAPL
BCBA:SPY
BCBA:TSLA
BCBA:TSLAD
CEDEARS
ETFs
ByMA
Momentum Marks - Buy and Sell IndicatorsIndicator Overview
This tool is a multi‑factor entry signal system designed to highlight potential BUY and SHORT opportunities directly on the chart with hard‑anchored labels. It combines trend, momentum, volatility, and volume conditions to reduce noise and provide more reliable trade signals.
Core Components
- EMA Trend Filter
- Uses a fast EMA (9) and a slow EMA (21) to determine short‑term vs. medium‑term trend direction.
- Signals only trigger when price aligns with the EMA relationship (e.g., fast above slow for shorts, fast below slow for buys).
- RSI Extremes
- RSI thresholds (default 65/35) ensure signals occur only when momentum is stretched into overbought or oversold zones.
- Helps avoid false triggers during neutral conditions.
- Linear Regression Channel
- A regression line with ±2 standard deviation bands defines dynamic support and resistance.
- Signals require price to be near the top (for shorts) or bottom (for buys) of the channel, adding a structural filter.
- TTM Squeeze Histogram
- Measures momentum shifts by comparing price to its EMA.
- Signals require histogram confirmation: weakening momentum for shorts, strengthening momentum for buys.
- Volume Confirmation
- Volume must fade for shorts or surge for buys relative to a 20‑period average.
- Ensures signals align with participation strength.
Visual Output
- Red “SHORT” label above bars when all short conditions align.
- Green “BUY” label below bars when all buy conditions align.
- Optional plotshape arrows (triangles) as backup markers.
- Linear regression channel shaded between upper and lower bands.
- EMA lines plotted for trend context.
Key Features
- Hard‑anchored labels: Signals are locked to confirmed bars, preventing repainting or shifting.
- Multi‑layer confirmation: Requires trend, momentum, volume, and structure to align before firing.
- Customizable inputs: Users can adjust EMA lengths, RSI thresholds, regression length, and squeeze parameters.
Alson Chew PAM EXE and Mother BarIndicators for strategies taught by Alson Chew's Price Action Manipulation (PAM) course
Two functions.
First it identifies EXE bars (Pin, Mark, Icecream bars).
Second it identifies Mother bars and draws an extension line for 6 bars.
Applicable to all time frames and can customise how many signals to show.
To be used in conjunction with trading strategies like
- 20 SMA, 50 SMA, 200 SMA FS formation
- Force Bottom, Force Top FS formation
- UR1 and DR1 using EXE Bar
2-Candle Pattern + Highest/Lowest 10 (NLS)...................
Buy - Sell Hight Low Candle
RR 1:3
Winrate: 80%
...............................
Smart Risk Meter (Adaptive v2)How it works
The Smart Risk Meter reads momentum, distance from the long-term trend, and drawdown pressure, then adapts those signals to the asset’s volatility. Low-vol assets get tighter scaling, high-vol assets get wider scaling, so the 0–1 risk score stays meaningful on anything from SPX to BTC.
How to use it
• 0.0–0.4: Accumulation zone. Market is calm or recovering — ideal for building positions.
• 0.4–0.6: Neutral. Trend can go either way — manage sizing.
• 0.6–0.8: Elevated risk. Momentum is stretched — tighten stops or reduce exposure.
• 0.8–1.0: Overheated. High risk of sharp pullbacks — avoid chasing.
Use it as a bias filter, a DCA timing tool, or a simple risk-on/risk-off read. It won’t predict tops or bottoms, but it keeps you aligned with the market’s temperature.
猛の掟・初動完成版//@version=5
indicator("猛の掟・初動スクリーナー_完成版", overlay=true)
// =============================
// 入力パラメータ
// =============================
emaLenShort = input.int(5, "短期EMA", minval=1)
emaLenMid = input.int(13, "中期EMA", minval=1)
emaLenLong = input.int(26, "長期EMA", minval=1)
macdFastLen = input.int(12, "MACD Fast", minval=1)
macdSlowLen = input.int(26, "MACD Slow", minval=1)
macdSignalLen = input.int(9, "MACD Signal", minval=1)
macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05)
volMaLen = input.int(5, "出来高平均日数", minval=1)
volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1)
volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1)
highLookback = input.int(60, "直近高値の参照本数", minval=10)
pullbackMin = input.float(5.0, "押し目最小 ", step=0.5)
pullbackMax = input.float(15.0, "押し目最大 ", step=0.5)
breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1)
wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5)
// ★ シグナル表示 ON/OFF
showMou = input.bool(true, "猛シグナルを表示")
showKaku = input.bool(true, "確シグナルを表示")
// =============================
// 基本指標計算
// =============================
emaShort = ta.ema(close, emaLenShort)
emaMid = ta.ema(close, emaLenMid)
emaLong = ta.ema(close, emaLenLong)
= ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen)
volMa = ta.sma(volume, volMaLen)
volRatio = volMa > 0 ? volume / volMa : 0.0
recentHigh = ta.highest(high, highLookback)
prevHigh = ta.highest(high , highLookback)
pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0
// ローソク足
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
// =============================
// A：トレンド条件
// =============================
emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong
goldenOrder = emaShort > emaMid and emaMid > emaLong
aboveEma2 = close > emaLong and close > emaLong
trendOK = emaUp and goldenOrder and aboveEma2
// =============================
// B：MACD条件
// =============================
macdGC = ta.crossover(macdLine, macdSignal)
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdUp = macdLine > macdLine
macdOK = macdGC and macdNearZero and macdUp
// =============================
// C：出来高条件
// =============================
volInitOK = volRatio >= volMinRatio // 8条件用
volStrongOK = volRatio >= volStrongRatio // 三点シグナル用
volumeOK = volInitOK
// =============================
// D：ローソク足パターン
// =============================
isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open
isBullEngulf = close > open and open < close and close > open
isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open
candleOK = isBullPinbar or isBullEngulf or isBigBullCross
// =============================
// E：価格帯（押し目＆レジブレ）
// =============================
pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax
isBreakout = close > prevHigh and close <= prevHigh
barsSinceBreak = ta.barssince(isBreakout)
afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback
afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort
priceOK = pullbackOK and afterBreakPullbackOK
// =============================
// 8条件の統合
// =============================
allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK
// =============================
// 最終三点シグナル
// =============================
longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick
macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0
volumeSpike = volStrongOK
finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike
buyConfirmed = allRulesOK and finalThreeSignal
// =============================
// 描画
// =============================
plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)")
plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)")
plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)")
// シグナル表示（ON/OFF付き）
plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛")
plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確")
// =============================
// アラート条件
// =============================
alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生")
alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
Stochastic + MACD Alignment Signals//@version=5
indicator("Stochastic + MACD Alignment Signals", overlay=true)
// ————— INPUTS —————
stochLength = input.int(14, "Stoch Length")
k = input.int(3, "K Smoothing")
d = input.int(3, "D Smoothing")
macdFast = input.int(12, "MACD Fast Length")
macdSlow = input.int(26, "MACD Slow Length")
macdSignal = input.int(9, "MACD Signal Length")
emaLen = input.int(21, "EMA Filter Length")
// ————— CALCULATIONS —————
// Stochastic
kRaw = ta.stoch(close, high, low, stochLength)
kSmooth = ta.sma(kRaw, k)
dSmooth = ta.sma(kSmooth, d)
// MACD
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSignal)
hist = macd - signal
// EMA Filter
ema = ta.ema(close, emaLen)
// ————— SIGNAL CONDITIONS —————
// BUY CONDITIONS
stochBull = ta.crossover(kSmooth, dSmooth) and kSmooth < 20
macdBull = ta.crossover(macd, signal) or (hist > 0)
emaBull = close > ema
buySignal = stochBull and macdBull and emaBull
// SELL CONDITIONS
stochBear = ta.crossunder(kSmooth, dSmooth) and kSmooth > 80
macdBear = ta.crossunder(macd, signal) or (hist < 0)
emaBear = close < ema
sellSignal = stochBear and macdBear and emaBear
// ————— PLOTTING SIGNALS —————
plotshape(buySignal, title="BUY", style=shape.labelup,
color=color.new(color.green, 0), size=size.large, text="BUY")
plotshape(sellSignal, title="SELL", style=shape.labeldown,
color=color.new(color.red, 0), size=size.large, text="SELL")
// ————— OPTIONAL ALERTS —————
alertcondition(buySignal, title="Buy Signal", message="Stoch + MACD Alignment BUY")
alertcondition(sellSignal, title="Sell Signal", message="Stoch + MACD Alignment SELL")
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization
Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙
1. Executive Summary & Architecture
Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm.
Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script.
The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction.
Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events.
2. ⚠️ The Philosophy of "Curve Fitting" (Must Read)
One must be careful when applying Gypsy Bot to new pairs or charts.
To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure.
To use this engine successfully:
Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points.
Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted.
Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility.
Timeframe Recommendations:
Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets.
3. The Voting Mechanism: How Entries Are Generated
The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings).
The engine constantly monitors the output of all enabled Modules.
Long Votes: GoLongCount
Short Votes: GoShortCount
If you have 10 Modules enabled, and you set ActivateOrders to 7:
The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle.
If only 6 modules agree, the signal is rejected.
4. Technical Deep Dive: The 12 Modules
Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading.
Module 1: Modified Slope Angle (MSA)
Logic: Calculates the geometric angle of a moving average relative to the timeline.
Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold.
Module 2: Correlation Trend Indicator (CTI)
Logic: Measures how closely the current price action correlates to a straight line (a perfect trend).
Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs.
Module 3: Ehlers Roofing Filter
Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal).
Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages.
Module 4: Forecast Oscillator
Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is.
Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes.
Module 5: Chandelier ATR Stop
Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes.
Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish.
Module 6: Crypto Market Breadth (CMB)
Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts).
Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade.
Module 7: Directional Index Convergence (DIC)
Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices.
Function: Identifies when trend strength is expanding.
Module 8: Market Thrust Indicator (MTI)
Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data.
Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother).
Module 9: Simple Ichimoku Cloud
Logic: Traditional Japanese trend analysis.
Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry.
Module 10: Simple Harmonic Oscillator
Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms.
Function: Serves as a counter-trend or early-reversal detector.
Module 11: HSRS Compression / Super AO
Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO).
Function: Great for catching explosive moves resulting from consolidation.
Module 12: Fisher Transform (MTF)
Logic: Converts price data into a Gaussian normal distribution.
Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend.
5. Global Inhibitors (The Veto Power)
Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors.
Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040).
Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down.
ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX).
CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment.
6. Risk Management & The Dump Protection Team (DPT)
Even in this Indicator version, the RM logic runs to generate Exit Signals.
Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot).
Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse").
Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts.
7. Recommended Setup Guide
When applying Gypsy Bot to a new chart, follow this sequence:
Set Timeframe: 4 Hours (4H).
Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility.
Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended).
Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging).
Voting Threshold: Adjust ActivateOrders to filter out noise.
Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine.
8. Technical Specs
Engine Version: Pine Script V6
Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes.
Visuals:
Blue Plot: Buy/Sell Signal.
Yellow Plot: Risk Management (RM) / DPT Close Signal.
Green/Lime/Olive Plots: Take Profit hits.
Disclaimer:
This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it.
9. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Liquidation HeatmapSDSH Liquidation Heatmap: Stochastic Microstructure Modeling
Technical Summary
This indicator implements an advanced algorithmic approach for the detection of liquidity and liquidation zones using the State-Dependent Spread Hawkes (SDSH) model. Unlike conventional heatmaps that aggregate raw Ask/Bid and Open Interest (OI) data from external data providers, this script generates a synthetic liquidity topology based purely on the physics of price movement and market microstructure.
Scientific Foundation: The SDSH Model
The core of the indicator relies on two integrated mathematical components that allow for the inference of latent order locations without reading the Limit Order Book (LOB):
State-Dependent Spread Estimation: It uses variations of range-based volatility estimators (based on Corwin-Schultz principles) to calculate the "effective spread" of the market in real-time. This allows determining the actual price friction and, consequently, where leveraged positions are statistically likely to accumulate.
Self-Exciting Hawkes Processes: A stochastic point process model (Hawkes Process) is applied to measure the "intensity" of liquidity events. The algorithm assumes that order arrivals and volatility cluster in time; the model quantifies this market "memory" to project the future intensity of liquidations.
High-Fidelity Replication without Level 2 Data
The critical value of this indicator lies in its ability to replicate with spatial exactitude the zones that a Liquidation Heatmap based on Tick-level or real market depth data would signal, but operating in a "black box" environment regarding provider data.
By triangulating volatility, temporal intensity decay (Hawkes Decay), and standard leverage projections (100x, 50x, 25x), the algorithm reconstructs the liquidation map. Mathematically, real liquidation zones are a function of participant entry and subsequent volatility; by modeling these variables accurately, the visual result converges with the actual location of stop-losses and mass liquidation points.
Utility for Quantitative Modeling (Quants)
This tool is designed for research and quantitative trading environments that require:
Data Independence: Elimination of the need for expensive subscriptions to Open Interest or Depth of Market (DOM) data.
Noise Filtering: As a mathematical model, it filters out "spoofing" (fake orders in the book) that often clutters traditional heatmaps, showing only zones where market structure mathematically forces the existence of liquidity.
Structural Backtesting: It allows for the validation of mean reversion and liquidity breakout strategies on historical data where market depth information is often unavailable or unreliable.
Visual Parameters
The indicator renders "stress boxes" with opacity gradients based on the probability of price collision.
Colors: Map the density of estimated synthetic contracts.
Persistence: Zones remain active until the price interacts with them (absorption) or the model determines that liquidity has dissipated (Hawkes decay).
Omni-Divergence Pro [Hodldean]Omni-Divergence Pro
Most traders rely on a single indicator (like RSI or MACD) to make decisions. The problem? Single indicators are noisy, prone to false signals, and fail in changing market conditions.
Omni-Divergence Pro is different. It does not rely on one data point. Instead, it deploys a Consensus Engine—an underlying algorithm that aggregates 11 professional-grade market models into a single "Vote."
Only when the Price Action structurally disagrees with this Mathematical Consensus do you get a signal.
How It Works: The 3-Layer Filter
This script is designed to filter out 90% of market noise and only present high-probability setups using a proprietary 3-step validation process:
1. The Consensus Engine (11-Factor Model) Instead of just looking at momentum, we calculate a normalized score based on 11 distinct market dimensions, ranging from standard trend followers to advanced Digital Signal Processing (DSP):
Trend: Hull MA (HMA), Kaufman Adaptive MA (KAMA), Ichimoku Cloud.
Momentum: Smoothed RSI, Stochastic RSI, Donchian Channels.
Advanced DSP: Ehlers Super Smoother, Ehlers Fisher Transform, Ehlers Cyber Cycle.
Next-Gen Filters: Laguerre Filter, ALMA (Arnaud Legoux / JMA Proxy).
2. Structural Divergence (The Trigger) We do not look for simple "oversold" levels. We look for Structural Disagreement.
Bullish Signal: Price makes a Lower Low, but the Consensus of 11 indicators makes a Higher Low. The underlying data is screaming "Strength" while price is still dropping.
Bearish Signal: Price makes a Higher High, but the Consensus fails to confirm it.
3. The Volume Veto (The Confirmation) A divergence without volume is a trap. This system includes an integrated RVOL (Relative Volume) Filter.
If a signal forms on low volume (weekend/lunch hour), it is rejected.
Signals are only valid if Institutional Volume supports the move.
Features at a Glance
Clean Charts: No messy lines or oscillators. You only see "BUY" and "SELL" labels when a validated signal occurs.
Dual-Mode Detection:
Regular Divergence: For catching tops and bottoms (Reversals).
Hidden Divergence: For entering pullbacks in a strong trend (Trend Continuation).
Zero Repainting Logic: Signals are generated based on strict pivot confirmation. Once a signal is printed and the candle closes, it never disappears.
Technical Specifications
Confirmation Lag: This system prioritizes accuracy over speed. Signals appear upon the confirmation of a Pivot High/Low (default: 5 bars).
Visual Offset: Labels are plotted in the past (offset) to pinpoint exactly where the structural top/bottom occurred, providing clear context for stop-loss placement.
Best Timeframes: Optimized for 15m, 1H, 4H, and Daily charts. (For higher timeframes like 4H/Daily, consider lowering the Lookback setting to 3).
⛔ ACCESS & PRICING
This is an Invite-Only script. To protect the proprietary "Consensus Engine" logic, the source code is hidden.
Trading involves risk. This tool is designed to assist in analysis, not to guarantee profits. Past performance is not indicative of future results.
猛の掟・初動スクリーナー v3//@version=5
indicator("猛の掟・初動スクリーナー v3", overlay=true)
// ===============================
// 1. 移動平均線（EMA）設定
// ===============================
ema5 = ta.ema(close, 5)
ema13 = ta.ema(close, 13)
ema26 = ta.ema(close, 26)
plot(ema5, title="EMA5", color=color.orange, linewidth=2)
plot(ema13, title="EMA13", color=color.new(color.blue, 0), linewidth=2)
plot(ema26, title="EMA26", color=color.new(color.gray, 0), linewidth=2)
// ===============================
// 2. MACD（10,26,9）設定
// ===============================
fast = ta.ema(close, 10)
slow = ta.ema(close, 26)
macd = fast - slow
signal = ta.ema(macd, 9)
macdBull = ta.crossover(macd, signal)
// ===============================
// 3. 初動判定ロジック
// ===============================
// ゴールデン並び条件
goldenAligned = ema5 > ema13 and ema13 > ema26
// ローソク足が26EMAより上
priceAbove26 = close > ema26
// 3条件すべて満たすと「確」
bullEntry = goldenAligned and priceAbove26 and macdBull
// ===============================
// 4. スコア（0=なし / 1=猛 / 2=確）
// ===============================
score = bullEntry ? 2 : (goldenAligned ? 1 : 0)
// ===============================
// 5. スコアの色分け
// ===============================
scoreColor = score == 2 ? color.new(color.yellow, 0) : score == 1 ? color.new(color.lime, 0) : color.new(color.gray, 80)
// ===============================
// 6. スコア表示（カラム）
// ===============================
plot(score,
title="猛スコア (0=なし,1=猛,2=確)",
style=plot.style_columns,
color=scoreColor,
linewidth=3)
// 目安ライン
hline(0, "なし", color=color.new(color.gray, 80))
hline(1, "猛", color=color.new(color.lime, 60))
hline(2, "確", color=color.new(color.yellow, 60))
// ===============================
// 7. チャート上に「確」ラベル
// ===============================
plotshape(score == 2,
title="初動確定",
style=shape.labelup,
text="確",
color=color.yellow,
textcolor=color.black,
size=size.tiny,
location=location.belowbar)
GOLDEN RSI （70-50-30）The fluctuation range has been expanded. Theoriginal author only set it between 40 and 60, but arange of 30 to 70 would be more reasonableAdditionally, a 50 median line has been added withinthe fluctuation range
Pious 3EMA-8EMA with 89ema when the stock price is above 89 ema and 3emah is above 8emah and 3emal is above 8emal buy prefers and vice versa, other conditions are additive to it
MC² Tight Compression Screener v1.0//@version=5
indicator("MC² Tight Compression Screener v1.0", overlay=false)
// ————————————————
// Inputs
// ————————————————
lookbackHigh = input.int(50, "Near High Lookback")
atrLength = input.int(14, "ATR Length")
volLength = input.int(20, "Volume SMA Length")
thresholdNear = input.float(0.97, "Near Break % (0.97 = within 3%)")
// ————————————————
// Conditions
// ————————————————
// ATR Compression: shrinking 3 days in a row
atr = ta.atr(atrLength)
atrCompression = atr < atr and atr < atr and atr < atr
// Price is near recent highs
recentHigh = ta.highest(high, lookbackHigh)
nearBreak = close > recentHigh * thresholdNear
// Volume not dead (preferably building)
volAvg = ta.sma(volume, volLength)
volOK = volume > volAvg
// Final signal (binary)
signal = atrCompression and nearBreak and volOK
// ————————————————
// Plot (for Pine Screener)
// ————————————————
plot(signal ? 1 : 0, title="MC2 Compression Signal")
SuperWaveTrendWaveTrend with Crosses + HyperWave + Confluence Zones + Thresholds
SuperWaveTrend — Advanced Momentum System Integrating WaveTrend, HyperWave, Confluence Zones & Threshold Filters
SuperWaveTrend is an enhanced momentum indicator built upon the classic WaveTrend (WT) framework.
It integrates HyperWave extreme zones, top/bottom Confluence Zones, trend hesitation Threshold regions, WT crossover reversal signals, and more.
This indicator is suitable for:
• Trend following
• Swing trading
• Reversal spotting
• Overbought/oversold structure analysis
• Extreme market sentiment detection
Whether you’re scalping or planning swing entries, SuperWaveTrend offers a more precise and visually intuitive momentum structure.
Key Features
1. WaveTrend Core Structure (WT1 / WT2)
• WT1: Primary momentum line
• WT2: Signal line
• Momentum Spread Area (WT1 − WT2) visualization highlights shifts in trend strength
2. HyperWave Extreme Momentum Zones
Background highlight automatically appears during extreme momentum conditions:
• Purple-red: Extreme bullish zone
• Orange: Extreme bearish zone
Helps identify:
• Blow-off tops
• Panic sell-offs
• Extreme trend continuation phases
3. Confluence Zones (Top/Bottom Resonance)
Combines overbought/oversold signals with momentum structure to mark:
• Gold top zones → weakening bullish momentum
• Blue bottom zones → weakening bearish momentum
Useful for detecting:
• Bearish divergence tops
• Reversal bounces
• High-level exhaustion / low-level capitulation
4. Threshold Hesitation Zone (Gray)
When WT1 and WT2 converge tightly, a gray background highlights:
• Unclear direction
• Trend weakening
• Higher risk of false signals
Generally not recommended for new entries.
5. WT Crossover Signals (Cross Signals)
WT1 and WT2 crossovers are marked with color-coded dots:
• Green: Bullish cross
• Red: Bearish cross
A core signal for capturing reversal shifts.
⚠️ Creator’s Disclaimer & Usage Insights
***WARNING***
SuperWaveTrend is not designed for extremely strong one-sided trends.
During highly impulsive markets, signals may become delayed or less reliable.
Optimal Timeframes
Based on extensive backtesting, In swing-trading environments, the indicator performs most effectively on the 1H–4H timeframes, where momentum cycles form cleanly and Confluence Zones provide high-probability setups.
Trading Insights
• In swing-trading environments, Confluence Zones often coincide with excellent long/short opportunities, especially when momentum exhaustion is confirmed.
• When paired with a Bollinger Bands framework, the system exhibits significantly improved accuracy and structure clarity.
Have fun,
BigTrunks
