Participation-Weighted Orderflow Bubbles (HTF / LTF Context ToolThis indicator visualizes participation-weighted market pressure by aggregating lower-timeframe price and volume data into higher-timeframe context bubbles. It is designed to help identify directional dominance, balance, and absorption across timeframes. This is a context and bias tool, not a trade signal generator.
What the indicator shows
Each bubble represents a single chart bar, built from lower-timeframe candles.
Total Notional
Aggregated volume multiplied by price from lower-timeframe candles.
Buy / Sell Proxies
Lower-timeframe candles are classified based on where they close within their range:
– Close near the high → buy-side proxy
– Close near the low → sell-side proxy
– Middle of the range → neutral
Delta (USD and %)
Buy proxy notional minus sell proxy notional, expressed as both absolute USD delta and percentage of total notional.
Bubble colors
Green
Buy-side participation dominance.
Sell color (user configurable)
Sell-side participation dominance. The default is chosen for visibility on bearish candles and can be changed in settings.
Grey
Balanced participation. Indicates two-way trade, consolidation, or auction.
Yellow (Absorption)
High notional with limited price movement, suggesting potential absorption or distribution.
Coloring uses both relative dominance (delta percentage) and absolute dominance (minimum delta in USD), which improves behavior on higher timeframes.
Bubble size and visuals
Bubble size scales with total notional.
HD glow layers adapt automatically by timeframe.
Bubbles are drawn in front of candles for clarity.
Optional text displays delta and total notional.
Hovering over a bubble shows detailed information including total notional, buy/sell/neutral proxies, delta values, absorption status, and the number of lower-timeframe candles used.
Timeframe behavior
The indicator is designed to work across multiple timeframes. On higher timeframes, more grey bubbles are expected due to natural auction and balance behavior. Colored bubbles on higher timeframes represent sustained participation rather than short-term momentum. Visual density and performance are automatically adjusted on higher timeframes.
How to use it
Recommended workflow:
1. Higher timeframe (1H, 4H, Daily)
Use the bubbles to identify dominant buy or sell participation, balance zones, and absorption near highs or lows.
2. Lower timeframe (5m, 15m)
Take trades in alignment with the most recent higher-timeframe dominance. Be cautious or range-focused inside higher-timeframe balance zones. Use structure and price action for entries.
What this indicator is not
This indicator does not show true bid/ask data.
It does not display actual market versus limit orders.
It does not replace a DOM or exchange orderflow feed.
It should not be used as a standalone entry signal.
The indicator works within TradingView’s available data and provides a probabilistic, participation-weighted view of market pressure rather than true tape or orderflow data.
Best practices
Use a 1-minute lower timeframe for best results.
Avoid setting the lower timeframe too high relative to the chart timeframe.
Combine this tool with structure, levels, and session context.
Treat grey bubbles as information about balance, not as noise.
This tool is intended for traders who want better context and bias, not more signals.
אינדיקטורים ואסטרטגיות
Clock&Flow: Elements of Cycle Analysis 2nd partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
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Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
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🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
ABC Pro Ultimate S/RABC Pro Ultimate is a high-precision trading tool designed to identify harmonic ABC (Zigzag) patterns and combine them with institutional Support & Resistance levels. Unlike standard indicators that clutter your chart with noise, this script filters for high-relevance pivot points from the distant past to provide truly meaningful trade setups.
Volume-Weighted Fibonacci PivotThis indicator automatically plots dynamic Fibonacci retracement and extension levels based on a volume-weighted pivot point within a user-defined lookback period or date range. It intelligently calculates a central "pivot" price biased toward high-volume bars, then draws symmetric levels both upward (extensions) and downward (retracements) for balanced confluence analysis.
How It Works (Technical Methodology)
Lookback Period Determination
Multiple filter modes control the data range used for calculations:
"Last X Bars": Fixed number of recent bars (default 400, max 4999).
"Manual Date": User-specified start date.
"Interactive (Chart)": Confirmed start date via input.
"None": Full available history (falls back to max bars).
Optionally, when using "Last X Bars", calculations can pull data from a higher/lower user-selected timeframe via request.security() for multi-timeframe alignment.
A dotted vertical line marks the start point in date-based modes.
Range and Pivot Calculation
Within the selected period:
Highest high and lowest low define the full price range.
Average volume is computed across the period.
Volume-Weighted Pivot: Average close price only from bars where volume > average volume (fallback to simple midpoint if no high-volume bars).
This creates a "smart" central pivot that leans toward areas of greater participation, often aligning with institutional activity.
Fibonacci Level Generation
User-configurable ratios (default: 0.236, 0.382, 0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618).
Levels are calculated symmetrically around the volume-weighted pivot:
Upward: Pivot + (Range × Ratio × Correction Factor) – teal/cyan shades.
Downward: Pivot - (Range × Ratio × Correction Factor) – red shades.
Correction Factor (default 0.5): Scales level spacing for tighter/wider grids without altering ratios.
Only the user-defined number of active lines (default 9) are drawn.
Visual Construction
Central Pivot Line: Thick yellow horizontal line with label showing exact price.
Up/Down Levels: Dashed lines extended into the future, labeled with ratio direction ("Up" or "Dn").
All objects redraw only on the last bar for performance, clearing previous drawings.
Multi-Timeframe Option
When enabled with "Last X Bars":
Pulls high/low/volume data from specified timeframe.
Aligns the pivot and levels to higher-timeframe structure while displaying on current chart – ideal for intraday traders seeking HTF confluence.
How to Use
This tool provides clean, volume-aware Fibonacci grids for identifying potential support/resistance, reversal zones, and targets.
Volume-Weighted Pivot: Often acts as a strong mean reversion level or fair value area.
Upward Levels (Teal): Potential resistance/extensions in bullish moves; watch for reactions on retests.
Downward Levels (Red): Potential support/retracements in bearish moves.
Confluence: High probability when price reacts at levels aligning with other tools (order blocks, pivots, volume profile).
Correction Factor: Lower values (<0.5) for tighter grids in ranging markets; higher (>0.5) for trending markets.
Multi-Timeframe Mode: Use on lower charts (e.g., 15m) with HTF input (e.g., 4H or Daily) to project major structure levels.
Common Setups:
Pullbacks to 0.618–0.786 zones for continuation entries.
Breaks beyond 1.0–1.618 for extension targets.
Reactions near pivot line for mean reversion trades.
Adjust ratios and active line count to match your preferred Fibonacci style (classic retracement vs. extensions).
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Volume And ROC Surge DetectorSharing this indicator I made for myself.
Volume and ROC are early indicators of long moves. When ROC + Volume happens together, it's BOOM.
This indicator called, Volume + ROC Surge Detector is a real-time momentum alert indicator designed to spot early institutional activity and explosive price moves. It combines Volume Surge analysis with Price Rate of Change (ROC) to identify when price and participation align.
The script monitors abnormal volume relative to a moving average and confirms direction using ROC strength. When both volume expansion and directional momentum occur together, it triggers high-confidence “Boom” signals for bullish or bearish moves.
To avoid noise, the indicator includes state-based alert control, ensuring each signal fires only once per condition change and only in real-time, not on historical bars.
Key Features
1. Detects bullish and bearish ROC momentum shifts
2. Identifies positive and negative volume anomalies
3. Flags combined Volume + ROC “Boom” events
4. Real-time alerts only (no repaint, no bar-close spam)
5. Duplicate alert prevention using internal state tracking
6. Clean on-chart visual markers for instant recognition. Disable visuals for cleaner chart.
Best Use Cases:
1. Catching breakouts and breakdowns early
2. Spotting smart money participation
3. Momentum confirmation for trend, intraday, and swing trading
4. Works across stocks, crypto, and indices
Alerts:
1. ROC Bullish Alert
When it fires:
Price Rate of Change (ROC) crosses above the positive ROC threshold
Alert messages:
🟢 ROC Change Bullish → TICKER @ price
What it means: Price momentum has turned strongly bullish. Early sign of upside acceleration
2. ROC Bearish Alert
When it fires:
Price ROC crosses below the negative ROC threshold
Alert message:
🔴 ROC Change Bearish → TICKER @ price
What it means:
Price momentum has turned strongly bearish. Early sign of downside acceleration
3. Positive Volume Surge Alert
When it fires:
Current volume exceeds
Average Volume × Volume Surge Multiplier
Alert message:
📈 +Ve Vol Change → TICKER @ volume
What it means:
Unusual participation / smart money activity. Strength entering the move
4. Negative Volume Alert (Volume Dry-Up)
When it fires:
Current volume drops below
Average Volume ÷ Volume Surge Multiplier
Alert message:
📉 -Ve Vol Change → TICKER @ volume
What it means:
Participation is fading. Trend exhaustion or consolidation risk
5. Boom Bull Alert (High-Conviction Signal)
When it fires:
Both conditions occur together:
Bullish ROC AND Volume Surge (high participation)
Alert message:
💥 Boom Volume + ROC Bull → TICKER @ price
What it means: Momentum + volume alignment. Strong breakout / continuation probability
6. Boom Bear Alert (High-Conviction Signal)
When it fires:
Both conditions occur together: Bearish ROC AND Volume Surge (high participation)
Alert message:
💣 Boom Volume + ROC Bear → TICKER @ price
What it means: Momentum + volume alignment to the downside. Strong breakdown / continuation probability
This indicator is built for traders who want clarity, speed, and signal discipline—not lagging confirmations or noisy alerts.
LJ Parsons Adjustable expanding MRT FibBased on premium/discount/fair-value levels the indicator will expand with the market by settable dates.
The levels are not fib based as such but are resonant levels within an multiplicative /12 log scale using the LJ Parsons Market resonance hypothesis.
Gold Asia Session Highlighter [IST]Here is a polished description and guide for your Gold Asia Session Highlighter. You can use this text for a YouTube description, a Telegram post, or a PDF guide to explain the tool to others.
Gold Asia Session Highlighter (IST) | Visual Indicator
This is a custom TradingView indicator designed to simplify the Gold Asia Strategy. Instead of automating trades, this tool purely handles the visuals. It automatically highlights the correct Asia Session time window (adjusting for Winter/Summer hours) and marks the exact points where you should draw your Fixed Range Volume Profile (FRVP) tool.
Perfect for: Traders who prefer to draw their own FRVP levels manually but want to ensure they are using the exact, error-free time range every single day.
Features
✅ Automatic Time Zone: Strictly calculated using IST (Indian Standard Time), so you don't need to convert time zones manually.
✅ Smart Season Detection: Automatically switches between Winter Session (04:30 – 06:25) and Summer Session (03:30 – 05:25) based on the current month.
✅ Visual Guidance: Highlights the session background and places "START" and "END" labels on the exact candles.
✅ Zero Clutter: Clean visuals with no moving averages or strategy lines—just the session box.
How to Use It
Add to Chart: Apply the script to your Gold (XAUUSD) 5-minute chart. You will see a blue highlighted box appear during the Asia session.
Locate the Labels:
Look for the blue START label (bottom of the candle).
Look for the red END label (top of the candle).
Draw Your FRVP:
Select the Fixed Range Volume Profile tool from your TradingView toolbar.
Click exactly on the START candle.
Drag and release exactly on the END candle.
Trade: You now have the exact Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) for the day. Use your breakout strategy as usual!
Gold ORB Strategy (3/5/15/30 Min)It's a multi-mode Opening Range Breakout system for Gold futures that automates the detection of the 7:20-7:23 AM CT opening range and provides clear visual signals for four different trading styles.
In Plain English:
"It draws a box around gold's first 3 minutes of trading, then alerts you when price breaks out with confirmation from volume, VWAP, and moving averages. It automatically calculates your entry, stop, and target prices based on your chosen strategy style."
What Makes It Unique:
4 Trading Personalities in One Tool:
Aggressive = "I want every breakout, I'll manage the fakeouts"
Confirmed = "Show me only moves that close beyond the range"
Retest = "I want the pullback entry for better R:R"
Fibonacci = "Let me buy the dip after the initial move"
Smart Confluence Filtering:
Doesn't just show every breakout
Checks if VWAP agrees (trend filter)
Verifies EMA alignment (momentum filter)
Flags volume spikes (conviction filter)
Complete Trade Management:
Automatically calculates stops (3 different methods)
Shows profit targets based on your R:R preference
Labels stick to price levels as you scroll
Visual dashboard shows all key info at a glance
What It's NOT:
Not a "buy here, sell there" robot - you still need to read the market
Not foolproof - no strategy works every day
Not optimized yet - you'll need to backtest and adjust settings for your style
The Real Value:
It takes a proven strategy from your research and makes it systematic and repeatable. Instead of manually drawing boxes and calculating stops every morning, it does the math and shows you exactly where the setup is.
TiRadarHUD Radar that provids for the ability to input manual levels in addition to tracking multiple EMAs.
NQ Conservative MTF (1m entries + 15m trend)//@version=5
strategy(title="NQ Conservative MTF (1m entries + 15m trend) v5",
overlay=true,
initial_capital=10000,
pyramiding=0,
calc_on_every_tick=false,
commission_type=strategy.commission.cash_per_contract,
commission_value=0.0)
//====================
// Inputs
//====================
useLongs = input.bool(true, "Enable Longs")
useShorts = input.bool(true, "Enable Shorts")
// 15m Trend Filter
tfTrend = input.timeframe("15", "Trend Timeframe")
emaFastLenHTF = input.int(50, "HTF EMA Fast", minval=1)
emaSlowLenHTF = input.int(200, "HTF EMA Slow", minval=1)
// 1m Entry Tools
emaPullLenLTF = input.int(50, "LTF Pullback EMA", minval=1)
rsiLen = input.int(14, "RSI Length", minval=1)
rsiLongMin = input.int(50, "RSI Long Min", minval=1, maxval=100)
rsiShortMax = input.int(50, "RSI Short Max", minval=1, maxval=100)
// DMI / ADX Filter (LTF)
dmiLen = input.int(14, "DMI Length", minval=1)
adxSmooth = input.int(14, "ADX Smoothing", minval=1)
adxMin = input.float(15.0, "Min ADX", step=0.5)
// Risk Management
atrLen = input.int(14, "ATR Length", minval=1)
atrSLmult = input.float(1.5, "ATR Stop Mult", step=0.1)
atrTPmult = input.float(2.0, "ATR Target Mult", step=0.1)
// Session + Cooldown
useSession = input.bool(true, "Use Session Filter")
sessionStr = input.session("0630-1300", "Session (exchange time)")
cooldownBars = input.int(10, "Cooldown Bars After Entry (1m)", minval=0)
//====================
// Helpers
//====================
inSession = not useSession or not na(time(timeframe.period, sessionStr))
// Cooldown tracking (bar_index of last entry)
var int lastEntryBar = na
canTrade = na(lastEntryBar) or (bar_index - lastEntryBar > cooldownBars)
//====================
// HTF Trend (15m)
//====================
emaFastHTF = request.security(syminfo.tickerid, tfTrend, ta.ema(close, emaFastLenHTF), barmerge.gaps_off, barmerge.lookahead_off)
emaSlowHTF = request.security(syminfo.tickerid, tfTrend, ta.ema(close, emaSlowLenHTF), barmerge.gaps_off, barmerge.lookahead_off)
trendUp = emaFastHTF > emaSlowHTF
trendDown = emaFastHTF < emaSlowHTF
//====================
// LTF Indicators (1m)
//====================
emaPull = ta.ema(close, emaPullLenLTF)
rsiVal = ta.rsi(close, rsiLen)
atrVal = ta.atr(atrLen)
// Proper DMI destructuring (prevents your ta.dmi tuple errors)
= ta.dmi(dmiLen, adxSmooth)
//====================
// Entry Logic (Conservative pullback + confirmation)
//====================
// Pullback idea: price is near/through pullback EMA, then resumes direction
pullbackLong = close > emaPull and low <= emaPull
pullbackShort = close < emaPull and high >= emaPull
confirmLong = (rsiVal >= rsiLongMin) and (adxVal >= adxMin) and (dmiPlus > dmiMinus)
confirmShort = (rsiVal <= rsiShortMax) and (adxVal >= adxMin) and (dmiMinus > dmiPlus)
longCond = useLongs and inSession and canTrade and trendUp and pullbackLong and confirmLong
shortCond = useShorts and inSession and canTrade and trendDown and pullbackShort and confirmShort
//====================
// Orders + Exits (ATR SL/TP)
//====================
longStop = close - (atrVal * atrSLmult)
longLimit = close + (atrVal * atrTPmult)
shortStop = close + (atrVal * atrSLmult)
shortLimit = close - (atrVal * atrTPmult)
if (longCond and strategy.position_size == 0)
strategy.entry("L", strategy.long)
lastEntryBar := bar_index
if (shortCond and strategy.position_size == 0)
strategy.entry("S", strategy.short)
lastEntryBar := bar_index
strategy.exit("L-Exit", from_entry="L", stop=longStop, limit=longLimit)
strategy.exit("S-Exit", from_entry="S", stop=shortStop, limit=shortLimit)
//====================
// Plotting
//====================
plot(emaPull, "1m Pullback EMA", linewidth=2)
plot(emaFastHTF, "15m EMA Fast", linewidth=2)
plot(emaSlowHTF, "15m EMA Slow", linewidth=2)
plotchar(trendUp, title="Trend Up", char="▲", location=location.top, size=size.tiny)
plotchar(trendDown, title="Trend Down", char="▼", location=location.top, size=size.tiny)
Engulfing Strategy Core Concept:
This is a price action trading strategy that identifies high-probability trade setups by combining multi-timeframe engulfing patterns with Current Market Price (CMP) validation.
How It Works:
H4 Setup Zone (Primary Timeframe)
Identifies Bullish or Bearish Engulfing patterns on the 4-hour timeframe
When detected, marks a zone at the high and low of the engulfed candle
This zone represents the initial setup area
M30 Trade Control Zone (Confirmation Timeframe)
Looks for Engulfing patterns on the 30-minute timeframe
These patterns must form within or near the H4 setup zone
Acts as a confirmation that the setup is valid
CMP Validation (Current Market Price)
Monitors where price is currently trading relative to the zones
Validates whether the pattern is still active or has been invalidated
Helps determine entry timing and stop loss placement
Trade Setup:
Bullish Setup: Red candle engulfed by green candles → Zone marked at red candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern
Bearish Setup: Green candle engulfed by red candles → Zone marked at green candle's high/low → Wait for M30 confirmation → Enter when CMP validates the pattern
ETF-Futures Opening Ratio (Table)This indicator calculates the opening price ratio between an ETF and its corresponding futures contract using the 9:30 AM New York (RTH) opening price.
The ratio is locked at the official market open and remains fixed throughout the session, providing a stable reference for:
Translating ETF price levels into futures equivalents
Comparing relative value and premium/discount behavior
Maintaining consistent cross-instrument analysis during the trading day
The output is displayed in a simple on-chart table for quick reference and minimal chart clutter.
Swing HelperThis script, titled "Swing helper", is a multi-metric dashboard designed to provide a comprehensive snapshot of a security's volatility, relative volume, and price action health directly on the chart. It focuses on Average Daily Range (ADR) relationship and key performance indicators to help traders identify setups like volatility contractions or trend strength.
Key Features
Dual-ADR Analysis: Calculates and compares Long-Term (LT) and Short-Term (ST) ADR percentages. The ADR Ratio helps identify when volatility is expanding or contracting relative to historical norms.
Relative Volume (RVol): Compares current volume to a 20-day moving average, highlighting institutional participation.
Dynamic Closing Range: Visualizes where the price is closing relative to the day's true range (the "Closing Range %"), indicating buying or selling pressure.
SMA 50 Distance: A unique metric that measures the price's distance from the 50-day Simple Moving Average in "ADR units," helping to gauge how overextended a stock is.
Automated Price Projections: Dynamically plots -1x and -2x ADR levels from the current price to provide immediate downside targets or support levels.
Custom Bar Coloring: Highlights specific price action patterns:
Inside Days (Blue)
Upside Reversals (Green)
Downside Reversals (Red)
Visual Customization
The script includes a highly flexible Summary Table with customizable positions, sizes, and colors (including borders and headers), allowing it to fit into any dark or light mode chart layout without obstructing price action.
How to Use
Volatility Contraction: Watch for the ADR Ratio to drop, indicating a tightening range before a potential breakout.
Relative Strength: Look for high RVol combined with a high Closing Range % (e.g., >75%) to confirm strong demand.
Mean Reversion: Use the SMA50 Dist metric to identify when a stock is "stretched" too far from its moving average relative to its daily volatility.
A-Share Broad-Based ETF Dual-Core Timing System1. Strategy Overview
The "A-Share Broad-Based ETF Dual-Core Timing System" is a quantitative trading strategy tailored for the Chinese A-share market (specifically for broad-based ETFs like CSI 300, CSI 500, STAR 50). Recognizing the market's characteristic of "short bulls, long bears, and sharp bottoms," this strategy employs a "Left-Side Latency + Right-Side Full Position" dual-core driver. It aims to safely bottom-fish during the late stages of a bear market and maximize profits during the main ascending waves of a bull market.
2. Core Logic
A. Left-Side Latency (Rebound/Bottom Fishing)
Capital Allocation: Defaults to 50% position.
Philosophy: "Buy when others fear." Seeks opportunities in extreme panic or momentum divergence.
Entry Signals (Triggered by any of the following):
Extreme Panic: RSI Oversold (<30) + Price below Bollinger Lower Band + Bullish Candle Close (Avoid catching falling knives).
Oversold Bias: Price deviates more than 15% from the 60-day MA (Life Line), betting on mean reversion.
MACD Bullish Divergence: Price makes a new low while MACD histogram does not, accompanied by strengthening momentum.
B. Right-Side Full Position (Trend Following)
Capital Allocation: Aggressively scales up to Full Position (~99%) upon signal trigger.
Philosophy: "Follow the trend." Strike heavily once the trend is confirmed.
Entry Signals (All must be met):
Upward Trend: MACD Golden Cross + Price above 20-day MA.
Breakout Confirmation: CCI indicator breaks above 100, confirming a main ascending wave.
Volume Support: Volume MACD Golden Cross, ensuring price increase is backed by volume.
C. Smart Risk Control
Bear Market Exhaustion Exit: In a bearish trend (MA20 < MA60), the strategy does not "hold and hope." It immediately liquidates left-side positions upon signs of rebound exhaustion (breaking below MA20, touching MA60 resistance, or RSI failure).
ATR Trailing Stop: Uses Average True Range (ATR) to calculate a dynamic stop-profit line that rises with the price to lock in profits.
Hard Stop Loss: Forces a stop-loss if the left-side bottom fishing fails and losses exceed a set ATR multiple, preventing deep drawdowns.
3. Recommendations
Target Assets: High liquidity broad-based ETFs such as CSI 300 ETF (510300), CSI 500 ETF (510500), ChiNext ETF (159915), STAR 50 ETF (588000).
Timeframe: Daily Chart.
Trend Dip-BuyerThis strategy is a simplified, high-probability Dip Buying System designed for active growth stocks. Instead of chasing breakouts at the top, it waits for the stock to take a "breather" (pullback) within an uptrend and buys the discount.
It combines a classic Trend Filter (50 EMA) with a sensitive Momentum Oscillator (RSI 2) to pinpoint the exact moment a pullback is likely to reverse back up.
How It Works:
1. The Trend Filter (50 EMA)
The strategy ONLY trades Long.
It requires the price to be above the 50-period Exponential Moving Average (EMA) (Blue Line). This ensures you are trading with the momentum of the market, not against it.
2. The Dip Signal (RSI 2)
It uses a fast 2-period RSI.
When RSI(2) drops below 50, it signals that the stock is temporarily "oversold" or resting. This is your cue that a discount entry is available.
3. Dynamic Exits
Profit Taking: The primary target is dynamic. The strategy looks to exit when RSI(2) spikes above 70, allowing you to capture the bulk of the momentum swing. (A fixed ATR target option is also included).
Safety: A 3x ATR Stop Loss protects the trade from sudden reversals.
✅ Simple Entry Checklist
Before taking a trade, ensure all 3 boxes are checked:
Trend Check: Is the current price ABOVE the Blue Line (50 EMA)?
Dip Check: Is the RSI (2) value BELOW 50?
Time Check: Is it past 12:00 PM? (Recommended for cleaner trends, but optional).
👉 If YES to all: Enter Long on the next candle open.
Best Settings (Customizable):
RSI Threshold: Default is 50 (Balanced). Lower to 30 for fewer, higher-quality trades.
Exit Method: "RSI > 70" is recommended for maximizing wins in strong trends.
Time Filter: "Trade > 12pm" is enabled by default to avoid morning volatility.
4MA / 4MA[1] Forward Projection with 4 SD Forecast Bands4MA / 4MA Projection + 4 SD Bands + Cross Table is a forward-projection tool built around a simple moving average pair: the 4-period SMA (MA4) and its 1-bar lagged value (MA4 ). It takes a prior MA behavior pattern, projects that structure forward, and wraps the projected mean path with four Standard Deviation (SD) bands to visualize probable future price ranges.
This indicator is designed to help you anticipate:
Where the MA structure is likely to travel next
How wide the “expected” future price corridor may be
Where a future MA4 vs MA4 crossover is most likely to occur
When the real (live) crossover actually prints on the chart
What you see on the chart
1) Live moving averages (current market)
MA4 tracks the short-term mean of price.
MA4 is simply the previous bar’s MA4 value (a 1-bar lag).
Their relationship (MA4 above/below MA4 ) gives a clean, minimal read on trend alignment and directional bias.
2) Projected MA path (forward curve)
A forward “ghost” of the MA structure is drawn ahead of price. This projected curve represents the indicator’s best estimate of how the moving average structure may evolve if the market continues to rhyme with the selected historical behavior window.
3) 4 Standard Deviation bands (predictive future price ranges)
Surrounding the projected mean path are four SD envelopes. Think of these as forecast corridors:
Inner bands = tighter “expected” range
Outer bands = wider “stress / extreme” range
These bands are not a guarantee—rather, they’re a structured way to visualize “how far price can reasonably swing” around the projected mean based on observed volatility.
4) Vertical projection lines (most probable cross zone)
Within the projected region you’ll see vertical lines running through the bands. These lines mark the most probable zone where MA4 and MA4 are expected to cross in the projection.
In plain terms:
The projected MAs are two curves.
When those curves are forecasted to intersect, the script marks the intersection region with a vertical line.
This gives you a forward “timing window” for a potential MA shift.
5) Cross Table (top-right)
The table is your confirmation layer. It reports:
Current MA4 value
Current MA4 value
Whether MA4 is above or below MA4
The most recent BUY / SELL cross event
When a real, live crossover happens on the actual chart:
It registers as BUY (MA4 crosses above MA4 )
Or SELL (MA4 crosses below MA4 )
…and the table updates immediately so you can confirm the event without guessing.
How to use it
Practical workflow
Use the projected SD bands as future range context
If price is projected to sit comfortably inside inner bands, the market is behaving “normally.”
If price reaches outer bands, you’re in a higher-volatility / stretched scenario.
Use vertical lines as a “watch zone”
Vertical lines do not force a trade.
They act like a forward “heads-up”: this is the most likely window for an MA crossover to occur if the projection holds.
Use the table for confirmation
When the crossover happens for real, the table is your confirmation signal.
Combine it with structure (support/resistance, trendlines, market context) rather than trading it in isolation.
Notes and best practices
This is a projection tool: it helps visualize a structured forward hypothesis, not a certainty.
SD bands are best used as forecast corridors (risk framing, range planning, and expectation management).
The table is the execution/confirmation layer: it tells you what the MAs are doing now.
SMA Crossover Strategy with Monte Carlo TunerCore logic
• Two signals:
• FAST SMA
• SLOW SMA
• Trade rule:
• FAST > SLOW → long
• FAST < SLOW → short
• Nothing else. No indicators stacked on top.
⸻
Two operating modes
1) Deterministic mode (baseline)
• MC = OFF
• You choose (fast, slow) explicitly (default 8/34)
• Behavior is stationary and repeatable
This is your control experiment.
⸻
2) Monte Carlo mode (adaptive discovery)
• MC = ON
• The script:
• Samples (fast, slow) pairs randomly from bounded integer ranges
• Simulates trades for each pair in parallel
• Tracks (gross profit, gross loss, trade count)
• Computes PF = GP / GL
• Promotes best-so-far online
Key point:
This is not grid search. It’s stochastic sampling with early stopping with time control (default 35 s)
Lot Size Calculator (Entry + SL) GOLDLot Size Calculator (Entry + SL)
This indicator helps traders calculate the correct position size (lots) based on risk management, using a fixed account balance and risk percentage per trade.
By providing an Entry Price and Stop-Loss Price, the script automatically computes:
Dollar risk per trade
Stop-loss distance
Risk per unit
Total position size in units
Final position size in lots (rounded to broker-compatible steps)
How It Works
Define your Account Balance.
Set your Risk % per trade (e.g., 1%).
Choose your Entry Price:
Manual input, or
Use the current market price.
Enter your Stop-Loss Price.
The indicator calculates the maximum lot size so that your loss at SL equals your predefined risk.
Key Features
Uses TradingView’s syminfo.pointvalue for accurate instrument pricing
Supports any market (Forex, indices, commodities, crypto)
Custom units per lot (FX standard, mini, micro, or custom CFD contracts)
roker-friendly lot rounding
Clean table display for quick decision-making
Ideal for traders who:
Follow strict fixed-percentage risk management
Want consistent position sizing
Trade multiple instruments with different contract sizes
This tool ensures every trade risks the same percentage of capital, regardless of stop-loss distance.
Market Participation Gradient [Interakktive]Market Participation Gradient (MPG) is a diagnostic oscillator that measures the quality and intensity of market participation by combining price efficiency with activity (volume or a FX-safe proxy) into a single 0–100 score.
Most tools tell you "how much activity exists." MPG focuses on "how effective that activity is," helping you differentiate clean directional participation from absorbed / inefficient participation where effort produces limited directional progress.
█ WHAT IT DOES
- Produces a 0–100 participation score (higher = stronger participation environment)
- Uses color as state context (not buy/sell)
- Classifies participation into four tiers for quick readability
- Includes an optional status-line HUD for at-a-glance context without chart clutter
█ WHAT IT DOES NOT DO
- NO buy/sell signals
- NO entries/exits
- NO alerts by default
- NO repainting / no lookahead (diagnostic context only)
█ HOW TO READ MPG
Level (0–100)
- Higher values = stronger participation environment
- Lower values = thin, drifting participation environment
Color (state language, not direction)
- Teal = Clean participation (efficient movement)
- Magenta = Absorbed participation (high activity, low efficiency)
- Amber = Building / transition state
- Grey = Thin / neutral state
█ TIER SYSTEM
MPG uses four tiers:
- THIN (0–20): low participation environment
- BUILDING (20–40): participation emerging / transitional
- STRONG (40–65): solid participation environment (quality becomes more meaningful)
- EXTREME (65+): very high participation environment (contextually important during events or late-cycle pushes)
█ QUALITY ASSESSMENT (STRONG / EXTREME)
Within STRONG and EXTREME tiers, MPG evaluates participation quality:
- Clean (Teal): Efficiency > 55%
- Absorbed (Magenta): Efficiency < 30% AND Activity > 1.5×
- Neutral (Grey): otherwise (mixed quality)
█ STATUS LINE HUD
MPG can display key values in TradingView's status line:
- Minimal: MPG (0–100) + Tier (0–3)
- Full: adds Direction (-1/0/1) and Quality (-1/0/1)
This provides quick context without tables or on-chart panels.
█ HOW IT WORKS (METHODOLOGY)
MPG combines two independent measurements:
1. Efficiency (0–1)
Efficiency = |Net Displacement| / Total Path Length
- High efficiency = price moved more directly
- Low efficiency = price moved less directly (more back-and-forth)
2. Activity (centered at 1.0)
Activity = Current Volume / Average Volume
- Activity > 1 = above-average activity
- Activity < 1 = below-average activity
FX / indices fallback: If volume is unreliable/unavailable, MPG uses a range-based proxy: (High–Low) / ATR (capped) to prevent distortion.
3. Participation Score (0–100)
Participation = Efficiency × √Activity × 100
The square root applies diminishing returns so activity alone cannot dominate without efficiency support.
█ SETTINGS
Core
- ATR Length — normalization baseline
- Efficiency Lookback — bars used for efficiency
- Volume Average Length — baseline for activity
- Smoothing Length — EMA smoothing (1 = minimal smoothing)
Visuals
- Histogram / Line / Tier Bands toggles
- Optional pane background tint (default OFF)
- Theme: Cinematic (subtle) or Vivid (brighter)
HUD
- Status Line HUD toggle
- HUD Detail: Minimal or Full
█ SUITABLE MARKETS
Works on any market with price data. For symbols with unreliable volume (common in FX), MPG automatically uses the range/ATR activity proxy.
█ RELATED (INTERAKKTIVE)
- MER — Market Efficiency Ratio (pure efficiency)
- ERD — Effort–Result Divergence (effort vs outcome)
- VSI — Volatility State Index (expansion/contraction context)
█ DISCLAIMER
This indicator is for educational and informational purposes only and does not constitute financial advice. Always do your own research and use appropriate risk management.
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets.
Core Design Principles
The strategy addresses three challenges specific to cryptocurrency trading:
24/7 market operation without session boundaries requires continuous monitoring and execution logic
Volatility regimes shift rapidly, demanding adaptive stop and target calculations
Tick-level responsiveness is critical for capturing momentum moves before they complete
Strategy Architecture
1. Signal Generation Stack
The strategy uses multiple technical indicators calibrated for cryptocurrency momentum:
MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases
EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure
Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering
RSI (21 period) and MFI (21 period) for momentum confirmation
Bollinger Bands and Keltner Channels for squeeze detection
2. Volatility Regime Classification
The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes:
Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR)
Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target)
Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets
ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks.
3. Multi-Path Entry System
Four independent signal pathways contribute to a composite strength score (0-100):
Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows
Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation
Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias
Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance
Additional scoring modifiers:
Volume impulse: +5 points when present, -5 when absent
Regime bonus: +5 in velocity, -2 in compression
Cycle bias: +5 when aligned, -5 when counter-trend
Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree.
4. Risk Management Framework
Position sizing is calculated from:
RiskCapital = Equity × (riskPerTradePct / 100)
StopDistance = ATR × StopMultiplier(regime)
Quantity = min(RiskCapital / StopDistance, MaxExposure / Price)
The strategy includes:
Risk per trade: 0.65% of equity (configurable)
Maximum exposure: 12% of equity (configurable)
Regime-adaptive stop and target multipliers
Adaptive trailing stops based on ATR and regime
Kill switch that disables new entries after 6.5% drawdown
Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks
5. Additional Filters
Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry
BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods
Session Filter : Optional time-based restriction (disabled by default for 24/7 operation)
Strategy Parameters
All default values used in backtesting:
Core Controls
Enable Short Structure: true
Restrict to Session Window: false
Execution Session: 0000-2359:1234567 (24/7)
Allow Same-Bar Re-Entry: true
Optimization Constants
MACD Fast Length: 8
MACD Slow Length: 21
MACD Signal Length: 5
EMA Fast: 8
EMA Mid: 21
EMA Slow: 34
EMA Slope Lookback: 8
Structure Break Window: 9
Regime Intelligence
ATR Length: 21
Volatility Soothing: 13
Low Vol Regime Threshold: 0.8% ATR
High Vol Regime Threshold: 1.6% ATR
Cycle Bias Length: 55
Cycle Bias Threshold: 0.15%
BTC Dominance Feed: CRYPTOCAP:BTC.D
BTC Dominance Confirmation: true
Signal Pathways
Volume Baseline Length: 34
Volume Impulse Multiplier: 1.15
Volume Z-Score Threshold: 0.5
MACD Histogram Smoothing: 5
MACD Histogram Sensitivity: 1.15
RSI Length: 21
RSI Momentum Trigger: 55
MFI Length: 21
MFI Momentum Trigger: 55
Squeeze Length: 20
Bollinger Multiplier: 1.5
Keltner Multiplier: 1.8
Squeeze Release Momentum Gate: 1.0
Micro Pullback Depth: 7
Minimum Composite Signal Strength: 55
Risk Architecture
Risk Allocation per Trade: 0.65%
Max Exposure: 12% of Equity
Base Risk/Reward Anchor: 1.8
Stop Multiplier • Low Regime: 1.05
Stop Multiplier • Medium Regime: 1.55
Stop Multiplier • High Regime: 2.1
Take Profit Multiplier • Low Regime: 1.6
Take Profit Multiplier • Medium Regime: 2.05
Take Profit Multiplier • High Regime: 2.8
Adaptive Trailing Engine: true
Trailing Offset Multiplier: 0.9
Quantity Granularity: 0.001
Kill Switch Drawdown: 6.5%
Strategy Settings
Initial Capital: $100,000
Commission: 0.04% (0.04 commission_value)
Slippage: 1 tick
Pyramiding: 1 (no position stacking)
calc_on_every_tick: true
calc_on_order_fills: true
Visualization Features
The strategy includes:
EMA ribbon overlay (8/21/34) with customizable colors
Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta)
Dynamic bar coloring based on signal strength divergence
Signal labels for entry points
On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics
Recommended Usage
Timeframes
The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider:
Increasing structure lookback windows
Raising RSI trigger thresholds above 58 to filter noise
Extending volume baseline length
Markets
Designed for high-liquidity cryptocurrency perpetual futures:
BTC/USDT, BTC/USD perpetuals
ETH perpetuals
Major L1 tokens with sufficient volume
For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums.
Limitations and Compromises
Backtesting Considerations
TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ
The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure
At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context
Market Structure Dependencies
BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades
Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable
Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough
Parameter Sensitivity
Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration
The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups
Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk
Execution Constraints
Same-bar re-entry requires broker support for rapid order placement
Quantity granularity must match exchange contract minimums
Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset
Performance Expectations
This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on:
Market conditions (trending vs. ranging)
Exchange execution quality
Parameter calibration for specific assets
Risk management discipline
Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital.
Code Structure
The strategy is organized into functional sections:
Configuration groups for parameter organization
Helper functions for position sizing and normalization
Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics)
Regime classification logic
Multi-path signal generation and composite scoring
Entry/exit orchestration with risk management
Visualization layer with dashboard and chart elements
The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets.
Modification Guidelines
When adapting this strategy:
Document any parameter changes in your publication
Test modifications across different market regimes
Validate position sizing logic for your exchange's contract specifications
Consider exchange-specific limitations (funding rates, liquidation mechanics, order types)
Conclusion
This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions.
You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management.
Disclaimer
This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results.
This strategy is provided "as is" without any warranties or guarantees of profitability
You should not rely solely on this strategy for making trading decisions
Always conduct your own research and analysis before making any financial decisions
Consider consulting with a qualified financial advisor before engaging in trading activities
The authors and contributors are not responsible for any losses incurred from using this strategy
Cryptocurrency trading can result in the loss of your entire investment
Only trade with capital you can afford to lose
Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Ultimate Trading Suite BTCLONG or SHORT very sample. Green to go Long, Bull market, Red go Short, Bear market.
CM RSI Description
This indicator plots ladder-style buy signals based on RSI oversold “cycles.”
BUY1 triggers after RSI closes ≤ Oversold for at least two consecutive candles.
Additional buys (BUY2, BUY3, …) can only occur after RSI re-arms by closing back above the oversold level, then returning oversold for two+ closes, and price is at least X% below the last entry price.
The “last entry” reference updates after every buy, allowing unlimited rebuys with a dynamic step-down.
Notes
Signals are generated on closed bars only (non-repainting behavior).
You can optionally set a Start Time to ignore earlier history and avoid off-screen state.
Choose whether the % drop check uses Close or Low depending on how strict you want confirmation.
Inputs
RSI length/source, oversold level, rebuy drop %, price check source, entry storage source, start time/baseline options, and display controls.
