SFI MAGIC
// Join our channel for more free tools: t.me
//@version=5
indicator("SFI MAGIC", overlay=true, max_labels_count=500)
//------------------------------------------------------------------------------
// Input Settings
useBody = input(false, 'Use Candle Body')
signalMode = input.string('Simple Entry + Exits', 'Signal Strategy', , tooltip='Change Your Signal Appearance And Strategies')
sensitivity = input.float(2.3, "Sensitivity", 0.6, 15.1, step=0.1, tooltip='Change Your Signal Sensitivity And Accuracy')
strongSignalOnly = input(false, "STRONG Only", inline='BasicFilters')
noRepainting = input(false, 'No Repainting', inline='BasicFilters', tooltip='Disables all signals except strong signals Disables repainting for signals')
Multiplier = input.float(1.5, "ATR Multiplier", step=0.1)
align_with_supertrend = input.bool(false, "Align Signals with Supertrend", tooltip="Enable to align buy/sell signals with Supertrend direction")
//------------------------------------------------------------------------------
// ATR and Supertrend Calculation
atr = ta.atr(14)
st_atr_length = input.int(10, "Supertrend ATR Length", minval=1)
st_multiplier = input.float(3.0, "Supertrend Multiplier", step=0.1)
upper_band = ta.sma(close, st_atr_length) + st_multiplier * atr
lower_band = ta.sma(close, st_atr_length) - st_multiplier * atr
var float supertrend = na
supertrend := close > nz(supertrend ) ? math.max(lower_band, nz(supertrend )) : math.min(upper_band, nz(supertrend ))
supertrend_up = close > supertrend
supertrend_down = close < supertrend
//------------------------------------------------------------------------------
// Signal Logic
src = close
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothrng = ta.ema(avrng, wper) * m
smoothrng
smrng = smoothrng(close, 100, sensitivity)
rngfilt(x, r) =>
rngfilt = x
rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r
rngfilt
filt = rngfilt(src, smrng)
var float upward = na
var float downward = na
var int CondIni = na
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
longCond = src > filt and src > src and upward > 0 or src > filt and src < src and upward > 0
shortCond = src < filt and src < src and downward > 0 or src < filt and src > src and downward > 0
CondIni := longCond ? 1 : shortCond ? -1 : nz(CondIni )
buyCond = longCond and CondIni == -1
strongBuyCond = buyCond and close <= filt - smrng
sellCond = shortCond and CondIni == 1
strongSellCond = sellCond and open >= filt + smrng
if noRepainting
buyCond := buyCond and barstate.isconfirmed
strongBuyCond := strongBuyCond and barstate.isconfirmed
sellCond := sellCond and barstate.isconfirmed
strongSellCond := strongSellCond and barstate.isconfirmed
//------------------------------------------------------------------------------
// Tradingview indicators. Join ->>> t.me
// -------------------- 👆👆👆👆👆👆 ---------------
//------------------------------------------------------------------------------
// ATR-Based Book Profit and Wait for Supertrend Break
var float buy_entry_price = na
var float sell_entry_price = na
var bool buy_profit_plotted = false
var bool sell_profit_plotted = false
if (buyCond or strongBuyCond)
buy_entry_price := close
buy_profit_plotted := false
if (sellCond or strongSellCond)
sell_entry_price := close
sell_profit_plotted := false
buy_target = buy_entry_price + (atr * Multiplier)
sell_target = sell_entry_price - (atr * Multiplier)
if (not na(buy_entry_price) and close >= buy_target and not buy_profit_plotted)
label.new(bar_index, high, "Book Profit", color=#00db0a, style=label.style_label_down, textcolor=color.white, size=size.normal)
buy_profit_plotted := true
label.new(bar_index, high - atr, "Wait for Supertrend to break", color=color.orange, style=label.style_label_down, textcolor=color.white, size=size.normal)
if (not na(sell_entry_price) and close <= sell_target and not sell_profit_plotted)
label.new(bar_index, low, "Book Profit", color=#ff0000, style=label.style_label_up, textcolor=color.white, size=size.normal)
sell_profit_plotted := true
label.new(bar_index, low + atr, "Wait for Supertrend to break", color=color.orange, style=label.style_label_up, textcolor=color.white, size=size.normal)
//------------------------------------------------------------------------------
// Candle Coloring
barcolor_cond = src > filt and upward > 0 ? color.new(#00db0a, 5) : src < filt and downward > 0 ? color.new(#c90505, 5) : na
barcolor(barcolor_cond, title='Candle Colors')
// Plot Signals
plotshape(buyCond and not strongSignalOnly, 'Buy', shape.labelup, location.belowbar, color.new(#21ff30, 0), size=size.small, textcolor=color.black, text='BUY')
plotshape(strongBuyCond, 'Strong Buy', shape.labelup, location.belowbar, color.new(#09ff00, 0), size=size.small, textcolor=color.black, text='BUY')
plotshape(sellCond and not strongSignalOnly, 'Sell', shape.labeldown, location.abovebar, color.new(#ff0000, 0), size=size.small, textcolor=color.black, text='SELL')
plotshape(strongSellCond, 'Strong Sell', shape.labeldown, location.abovebar, color.new(#ff0000, 0), size=size.small, textcolor=color.black, text='SELL')
// Supertrend Plot
plot(supertrend, color=supertrend_up ? color.green : color.red, title="Supertrend", linewidth=2)
// ==========================================================================================
// === Dashboard with Telegram Link ===
var table myTable = table.new(position.top_center, 1, 1, border_width=1, frame_color=color.black, bgcolor=color.white)
// Add Telegram Message to Dashboard
table.cell(myTable, 0, 0, "Join Telegram @mrexpert_ai", bgcolor=color.blue, text_color=color.white, text_size=size.normal)
Sentiment
BioSwarm Imprinter™BioSwarm Imprinter™ — Agent-Based Consensus for Traders
What it is
BioSwarm Imprinter™ is a non-repainting, agent-based sentiment oscillator. It fuses many short-to-medium lookback “opinions” into one 0–100 consensus line that is easy to read at a glance (50 = neutral, >55 bullish bias, <45 bearish bias). The engine borrows from swarm intelligence: many simple voters (agents) adapt their influence over time based on how well they’ve been predicting price, so the crowd gets smarter as conditions change.
Use it to:
• Detect emerging trends sooner without overreacting to noise.
• Filter mean-reversion vs continuation opportunities.
• Gate entries with a confidence score that reflects both strength and persistence of the move.
• Combine with your execution tools (VWAP/ORB/levels) as a state filter rather than a trade signal by itself.
⸻
Why it’s different
• Swarm learning: Each agent improves or decays its “fitness” depending on whether its vote matched the next bar’s direction. High-fitness agents matter more; weak agents fade.
• Multi-horizon by design: The crowd is composed of fixed, simple lookbacks spread from lenMin to lenMax. You get a blended, robust view instead of a single fragile parameter.
• Two complementary lenses: Each agent evaluates RSI-style balance (via Wilder’s RMA) and momentum (EMA deviation). You decide the weight of each.
• No repaint, no MTF pitfalls: Everything runs on the chart’s timeframe with bar-close confirmation; no request.security() or forward references.
• Actionable UI: A clean consensus line, optional regime background, confidence heat, and triangle markers when thresholds are crossed.
⸻
What you see on the chart
• Consensus line (0–100): Smoothed to your preference; color/area makes bull/bear zones obvious.
• Regime coloring (optional): Light green in bull zone, light red in bear zone; neutral otherwise.
• Confidence heat: A small gauge/number (0–100) that combines distance from neutral and recent persistence.
• Markers (optional): Triangles when consensus crosses up through your bull threshold (e.g., 55) or down through your bear threshold (e.g., 45).
• Info panel (optional): Consensus value, regime, confidence, number of agents, and basic diagnostics.
⸻
How it works (under the hood)
1. Horizon bins: The range is divided into numBins. Each bin has a fixed, simple integer length (crucial for Pine’s safety rules).
2. Per-bin features (computed every bar):
• RSI-style balance using Wilder’s RMA (not ta.rsi()), then mapped to −1…+1.
• Momentum as (close − EMA(L)) / EMA(L) (dimensionless drift).
3. Agent vote: For its assigned bin, an agent forms a weighted score: score = wRSI*RSI_like + wMOM*Momentum. A small dead-band near zero suppresses chop; votes are +1/−1/0.
4. Fitness update (bar close): If the agent’s previous vote agreed with the next bar’s direction, multiply its fitness by learnGain; otherwise by learnPain. Fitness is clamped so it never explodes or dies.
5. Consensus: Weighted average of all votes using fitness as weights → map to 0–100 and smooth with EMA.
Why it doesn’t repaint:
• No future references, no MTF resampling, fitness updates only on confirmed bars.
• All TA primitives (RMA/EMA/deltas) are computed every bar unconditionally.
⸻
Signals & confidence
• Bullish bias: consensus ≥ bullThr (e.g., 55).
• Bearish bias: consensus ≤ bearThr (e.g., 45).
• Confidence (0–100):
• Distance score: how far consensus is from 50.
• Momentum score: how strong the recent change is versus its recent average.
• Combined into a single gate; start filtering entries at ≥60 for higher quality.
Tip: For range sessions, raise thresholds (60/40) and increase smoothing; for momentum sessions, lower smoothing and keep thresholds at 55/45.
⸻
Inputs you’ll actually tune
• Agents & horizons:
• N_agents (e.g., 64–128)
• lenMin / lenMax (e.g., 6–30 intraday, 10–60 swing)
• numBins (e.g., 12–24)
• Weights & smoothing:
• wRSI vs wMOM (e.g., 0.7/0.3 for FX & indices; 0.6/0.4 for crypto)
• deadBand (0.03–0.08)
• consSmooth (3–8)
• Thresholds & hygiene:
• bullThr/bearThr (55/45 default)
• cooldownBars to avoid signal spam
⸻
Playbooks (ready-to-use)
1) Breakout / Trend continuation
• Timeframe: 15m–1h for day/swing.
• Filter: Take longs only when consensus > 55 and confidence ≥ 60.
• Execution: Use your ORB/VWAP/pullback trigger for entry. Trail with swing lows or 1.5×ATR. Exit on a close back under 50 or when a bearish signal prints.
2) Mean reversion (fade)
• When: Sideways days or low-volatility clusters.
• Setup: Increase deadBand and consSmooth.
• Signal: Bearish fades when consensus rolls over below ≈55 but stays above 50; bullish fades when it rolls up above ≈45 but stays below 50.
• Targets: The neutral zone (~50) as the first take-profit.
3) Multi-TF alignment
• Keep BioSwarm on 1H for bias, execute on 5–15m:
• Only take entries in the direction of the 1H consensus.
• Skip counter-bias scalps unless confidence is very low (explicit mean-reversion plan).
⸻
Integrations that work
• DynamoSent Pro+ (macro bias): Only act when macro bias and swarm consensus agree.
• ORB + Session VWAP Pro: Trade London/NY ORB breakouts that retest while consensus >55 (long) or <45 (short).
• Levels/Orderflow: BioSwarm is your “go / no-go”; execution stays with your usual triggers.
⸻
Quick start
1. Drop the indicator on a 1H chart.
2. Start with: N_agents=64, lenMin=6, lenMax=30, numBins=16, deadBand=0.06, consSmooth=5, thresholds 55/45.
3. Trade only when confidence ≥ 60.
4. Add your favorite execution tool (VWAP/levels/OR) for entries & exits.
⸻
Non-repainting & safety notes
• No request.security(); no hidden lookahead.
• Bar-close confirmation for fitness and signals.
• All TA calls are unconditional (no “sometimes called” warnings).
• No series-length inputs to RSI/EMA — we use RMA/EMA formulas that accept fixed simple ints per bin.
⸻
Known limits & tips
• Too many signals? Raise deadBand, increase consSmooth, widen thresholds to 60/40.
• Too few signals? Lower deadBand, reduce consSmooth, narrow thresholds to 53/47.
• Over-fitting risk: Keep learnGain/learnPain modest (e.g., ×1.04 / ×0.96).
• Compute load: Large N_agents × numBins is heavier; scale to your device.
⸻
Example recipes
EURUSD 1H (swing):
lenMin=8, lenMax=34, numBins=16, wRSI=0.7, wMOM=0.3, deadBand=0.06, consSmooth=6, thr=55/45
Buy breakouts when consensus >55 and confidence ≥60; confirm with 5–15m pullback to VWAP or level.
SPY 15m (US session):
lenMin=6, lenMax=24, numBins=12, consSmooth=4, deadBand=0.05
On trend days, stay with longs as long as consensus >55; add on shallow pullbacks.
BTC 1H (24/7):
Increase momentum weight: wRSI=0.6, wMOM=0.4, extend lenMax to ~50. Use dynamic stops (ATR) and partials on strong verticals.
⸻
Final word
BioSwarm is a state engine: it tells you when the market is primed to continue or mean-revert. Pair it with your entries and risk framework to turn that state into trades. If you’d like, I can supply a companion strategy template that consumes the consensus and back-tests the three playbooks (Breakout/Fade/Flip) with standard risk management.
Relative Sector Index Benchmarking by QuantxQuantX Relative Strength helps traders identify whether a stock is outperforming or underperforming NIFTY. It uses a clean histogram with background highlights and a trend line to spot market leaders, laggards, and strength reversals quickly.
DynamoSent DynamoSent Pro+ — Professional Listing (Preview)
— Adaptive Macro Sentiment (v6)
— Export, Adaptive Lookback, Confidence, Boxes, Heatmap + Dynamic OB/OS
Preview / Experimental build. I’m actively refining this tool—your feedback is gold.
If you spot edge cases, want new presets, or have market-specific ideas, please comment or DM me on TradingView.
⸻
What it is
DynamoSent Pro+ is an adaptive, non-repainting macro sentiment engine that compresses VIX, DXY and a price-based activity proxy (e.g., SPX/sector ETF/your symbol) into a 0–100 sentiment line. It scales context by volatility (ATR%) and can self-calibrate with rolling quantile OB/OS. On top of that, it adds confidence scoring, a plain-English Context Coach, MTF agreement, exportable sentiment for other indicators, and a clean Light/Dark UI.
Why it’s different
• Adaptive lookback tracks regime changes: when volatility rises, we lengthen context; when it falls, we shorten—less whipsaw, more relevance.
• Dynamic OB/OS (quantiles) self-calibrates to each instrument’s distribution—no arbitrary 30/70 lines.
• MTF agreement + Confidence gate reduce false positives by highlighting alignment across timeframes.
• Exportable output: hidden plot “DynamoSent Export” can be selected as input.source in your other Pine scripts.
• Non-repainting rigor: all request.security() calls use lookahead_off + gaps_on; signals wait for bar close.
Key visuals
• Sentiment line (0–100), OB/OS zones (static or dynamic), optional TF1/TF2 overlays.
• Regime boxes (Overbought / Oversold / Neutral) that update live without repaint.
• Info Panel with confidence heat, regime, trend arrow, MTF readout, and Coach sentence.
• Session heat (Asia/EU/US) to match intraday behavior.
• Light/Dark theme switch in Inputs (auto-contrasted labels & headers).
⸻
How to use (examples & recipes)
1) EURUSD (swing / intraday blend)
• Preset: EURUSD 1H Swing
• Chart: 1H; TF1=1H, TF2=4H (default).
• Proxies: Defaults work (VIX=D, DXY=60, Proxy=D).
• Dynamic OB/OS: ON at 20/80; Confidence ≥ 55–60.
• Playbook:
• When sentiment crosses above 50 + margin with Δ ≥ signalK and MTF agreement ≥ 0.5, treat as trend breakout.
• In Oversold with rising Coach & TF agreement, take fade longs back toward mid-range.
• Alerts: Enable Breakout Long/Short and Fade; keep cooldown 8–12 bars.
2) SPY (daytrading)
• Preset: SPY 15m Daytrade; Chart: 15m.
• VIX (D) matters more; preset weights already favor it.
• Start with static 30/70; later try dynamic 25/75 for adaptive thresholds.
• Use Coach: in US session, when it says “Overbought + MTF agree → sell rallies / chase breakouts”, lean momentum-continuation after pullbacks.
3) BTCUSD (crypto, 24/7)
• Preset: BTCUSD 1H; Chart: 1H.
• DXY and BTC.D inform macro tone; keep Carry-forward ON to bridge sparse ticks.
• Prefer Dynamic OB/OS (15/85) for wider swings.
• Fade signals on weekend chop; Breakout when Confidence > 60 and MTF ≥ 1.0.
4) XAUUSD (gold, macro blend)
• Preset: XAUUSD 4H; Chart: 4H.
• Weights tilt to DXY and US10Y (handled by preset).
• Coach + MTF helps separate trend legs from news pops.
⸻
Best practices
• Theme: Switch Light/Dark in Inputs; the panel adapts contrast automatically.
• Export: In another script → Source → DynamoSent Pro+ → DynamoSent Export. Build your own filters/strategies atop the same sentiment.
• Dynamic vs Static OB/OS:
• Static 30/70: fast, universal baseline.
• Dynamic (quantiles): instrument-aware; use 20/80 (default) or 15/85 for choppy markets.
• Confidence gate: Start at 50–60% to filter noise; raise when you want only A-grade setups.
• Adaptive Lookback: Keep ON. For ultra-liquid indices, you can switch it OFF and set a fixed lookback.
⸻
Non-repainting & safety notes
• All request.security() calls use lookahead=barmerge.lookahead_off and gaps=barmerge.gaps_on.
• No forward references; signals & regime flips are confirmed on bar close.
• History-dependent funcs (ta.change, ta.percentile_linear_interpolation, etc.) are computed each bar (not conditionally).
• Adaptive lookback is clamped ≥ 1 to avoid lowest/highest errors.
• Missing-data warning triggers only when all proxies are NA for a streak; carry-forward can bridge small gaps without repaint.
⸻
Known limits & tips
• If a proxy symbol isn’t available on your plan/exchange, you’ll see the NA warning: choose a different symbol via Symbol Search, or keep Carry-forward ON (it defaults to neutral where needed).
• Intraday VIX is sparse—using Daily is intentional.
• Dynamic OB/OS needs enough history (see dynLenFloor). On short histories it gracefully falls back to static levels.
Thanks for trying the preview. Your comments drive the roadmap—presets, new proxies, extra alerts, and integrations.
SPY hunter heavy weight heat map ( 1m, 5m, 15m, last candle closshows a heat map of the top 5 stocks that move SPY... 1m, 5m, and 15 lact canlde clothes to show market direction and strenght
BIST30 % Above Moving Average (Breadth)
BIST30 % Above Moving Average (Breadth)
This indicator shows the percentage of BIST30 stocks trading above a selected moving average.
It is a market breadth tool, designed to measure the overall health and participation of the market.
How it works
By default, it uses the 50-day SMA.
You can switch between SMA/EMA and choose different periods (5 / 20 / 50 / 200).
The script checks each BIST30 stock individually and counts how many are closing above the chosen MA.
Interpretation
Above 80% → Overbought zone (short-term correction likely).
Below 20% → Oversold zone (potential rebound).
Around 50% → Neutral / indecisive market.
If the index (BIST:XU030) rises while this indicator falls → the rally is narrow-based, led by only a few stocks (a warning sign).
Use cases
Short-term traders → Use MA=5 or 20 for momentum signals.
Swing / Medium-term investors → Use MA=50 for market health.
Long-term investors → Use MA=200 to track bull/bear market cycles.
Notes
This script covers only BIST30 stocks by default.
The list can be updated for BIST100 or specific sectors (e.g., banks, industrials).
Breadth indicators should not be used as standalone buy/sell signals — combine them with price action, volume, and other technical tools for confirmation.
Mag 7 Weighted Performance % (Today Only)shows the cumulative weighted performance of mag 7 stocks as a percentage.
Ripster EMA Cloud A+ Setup + Exit Plan + Buy/Sell TriggersUsing the Ripster Cloud Method, a conditional system that helps with entries and exits
FX % Change TableFX % Change Table
This tool provides currency strength analysis at a glance, allowing traders to instantly identify which currencies are outperforming or underperforming without the need to manually check each pair. It offers decision support for entries and exits by helping traders align their positions with broader strength and weakness trends, such as buying the strongest currency against the weakest. Its versatility makes it suitable for any timeframe, whether used by scalpers or swing traders. Best of all, it delivers these insights in a clean and simple format, presenting complex multi-pair calculations in an easy-to-read visual display.
This tool is especially helpful for traders who incorporate currency strength analysis, correlation checks, or basket trading into their strategy. It reduces time spent flipping through charts and provides a structured overview for smarter trade decisions.
Unlike traditional single-pair indicators, this tool calculates the percentage change between the current and previous higher timeframe closes for a group of forex pairs. You can choose between two curated groups:
• Majors – EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, NZDUSD, USDCAD
• Cross Pairs – A wide basket of EUR, GBP, AUD, NZD, CAD, and CHF crosses
For each symbol, the script requests the selected timeframe’s price data, calculates the percentage change from the previous bar’s close, and then displays it in a neatly formatted table. Green highlights strength, red highlights weakness, and gray shows neutrality — making shifts in momentum instantly recognizable.
How to Use
1. Select your timeframe – For example, "60" (1H) to view hourly change, "240" (4H) for broader moves, or "D" for daily strength/weakness.
2. Choose your group – Focus on the Majors for a macro USD view, or switch to Cross Pairs for secondary flows.
3. Position the table – Place it in any corner of your chart (top-left, top-right, bottom-left, bottom-right) to match your workspace.
The table updates dynamically at the close of each bar, ensuring the displayed data always reflects the most recent market movements.
Aggregated OI (Binance + Bybit + OKX)RU
Агрегатор Open Interest для крипты по трём биржам: Binance, Bybit, OKX/OKEX.
Показывает OI-свечи или дельту OI, есть мини-легенда (Open Interest, Rekt Longs/Shorts, Aggressive Longs/Shorts). Можно переключать биржи и единицы отображения (USD / COIN).
Данные зависят от доступности OI-тикеров в TradingView (…USDT.P_OI). Если по паре нет фида на бирже — она игнорируется. Основано на скрипте LeviathanCapital (MPL-2.0), модификация — SaneQ. Не является финсоветом.
EN
Aggregated Open Interest for crypto across Binance, Bybit, OKX/OKEX.
Plots OI candles or OI delta, plus a compact legend (Open Interest, Rekt Longs/Shorts, Aggressive Longs/Shorts). You can toggle exchanges and display units (USD / COIN).
Data depends on TV OI feeds (…USDT.P_OI). If a pair lacks a feed on an exchange, that source is skipped. Based on LeviathanCapital’s script (MPL-2.0), modified by SaneQ. Not financial advice.
Open Interest Aggregated (Lite)The Open Interest Aggregated (Lite) indicator consolidates open interest data across multiple major cryptocurrency exchanges into a single, easy-to-interpret visual. By aggregating open interest from Binance, Bybit, OKX, Bitget, and Coinbase (configurable per user preference), this indicator provides a holistic view of market positioning and trader sentiment in real time. It is designed for overlay-independent analysis, giving traders insight into derivatives market dynamics without cluttering price charts.
Key Features and Technical Details:
Aggregates open interest for USD, USDT, and USDC denominated perpetual contracts where available.
Supports configurable exchange inclusion: Binance, Bybit, OKX, Bitget, and Coinbase.
Normalizes USD-denominated open interest relative to the asset price for cross-exchange comparison.
Generates candlestick plots representing aggregated open interest: open, high, low, and close, allowing traditional technical analysis techniques (trend detection, breakouts, reversals) to be applied to derivatives positioning.
Provides optional hidden plots for each aggregated value (open, high, low, close) to support custom scripting or further analysis in Pine Script.
Color-coded candles: teal indicates an increase in open interest for the period, red indicates a decrease, highlighting shifts in trader sentiment.
Use Cases in Trading:
Trend Confirmation: Rising aggregated open interest in tandem with price increases can confirm bullish market participation, while decreasing open interest may signal weakening conviction.
Divergence Detection: Compare price action against aggregated open interest to detect potential reversals or exhaustion points.
Cross-Exchange Market Insight: By combining multiple exchanges, traders can identify shifts in global derivatives exposure rather than relying on a single market, reducing bias from localized trading anomalies.
Risk Assessment: Monitoring aggregated open interest can help anticipate periods of heightened leverage, which may correspond to increased volatility and potential liquidation events.
Why It’s Useful:
Open interest is a leading indicator of market sentiment and participation in futures markets. However, individual exchange data often provides an incomplete picture. Open Interest Aggregated (Lite) simplifies this by consolidating data across major platforms, enabling traders to make more informed decisions, assess market strength, and identify strategic entry or exit points with a clearer understanding of global positioning.
Application Notes:
Best used in combination with price analysis and volume metrics for robust trading signals.
Timeframe-independent: works on any chart interval, ensuring flexibility across intraday and longer-term strategies.
Lightweight “Lite” version ensures fast calculation while maintaining critical insights from multiple exchanges.
VWAP FadeVWAP fade indicator simple parameters for how it works and the logic behind VWAP fade
You can try other products but recommended for Copper/Silver futures due to how they tend to do the VWAP fade
Identify VWAP retest:
Price moves back into VWAP after trending away.
Fail condition:
Candle touches VWAP but fails to close across it (stays on trend side).
Signal:
Short if price came from below and fails to close above VWAP.
Long if price came from above and fails to close below VWAP.
Confirm with volume spike (optional filter).
Market Bias [Mario]Indicator Description: Market Bias
Core Objective and Philosophy
The Market Bias indicator is designed not as a simple signal generator, but as a comprehensive tool for trend analysis and directional bias assessment. Its primary purpose is to provide traders with a clear, at-a-glance understanding of the market's direction across multiple timeframes. By visualizing the alignment of trends, it helps traders make more informed decisions, ensuring they are trading in harmony with the broader market momentum rather than against it. This is a tool for strategic positioning, not for providing blind buy or sell commands.
How It Works: The Core Mechanic
The indicator's logic is based on the relationship between two configurable moving averages (MAs): a Fast MA (defaulting to a 9-period EMA) and a Slow MA (defaulting to a 21-period SMA). The market bias on any given timeframe is determined as follows:
Bullish Bias: When the Fast MA is trading above the Slow MA, it indicates positive, upward momentum.
Bearish Bias: When the Fast MA is trading below the Slow MA, it indicates negative, downward momentum.
Users have full control to customize the type (SMA, EMA, WMA, etc.) and length of each moving average to fit their specific trading style and the asset being analyzed.
Key Feature: The Higher Timeframe (HTF) Bias Table
This is the most powerful feature of the indicator and its main reason for existence. It displays a simple, color-coded table in the corner of the chart, showing the real-time bias for the Daily (D), 4-Hour (4H), and 1-Hour (1H) timeframes.
Purpose: The HTF table solves a critical problem for traders: losing sight of the bigger picture. A trader on a 15-minute chart might see a setup to go long, but if the 4H and Daily charts are strongly bearish, that trade is fighting a powerful current and has a lower probability of success.
Application: By checking this table, a trader can instantly verify if their intended trade direction is aligned with the higher timeframe trends. The ideal scenario is "confluence," where the bias is the same across all key timeframes (e.g., D, 4H, and 1H are all Bullish), giving the trader a strong conviction to only look for long entries.
On-Chart Visual Aids
To support the analysis on the current chart, the indicator provides several visual aids:
Moving Average Plots: Both the Fast and Slow MAs are drawn directly on the chart, allowing traders to see their interaction with price in real-time.
Color-Coded Bars: To make the current trend immediately obvious, the chart's price bars can be colored. Green bars signify a bullish bias (Fast > Slow), while red bars signify a bearish bias (Fast < Slow).
Crossover Markers (Optional): While the indicator is not a signal provider, it can optionally display "Buy" (up arrow) and "Sell" (down arrow) markers when the MAs cross. These should not be interpreted as direct trade signals. Instead, they serve as alerts that the market momentum may be shifting on the current timeframe. They are best used as points of interest or for confirming a thesis that is already supported by the HTF bias.
Summary
In essence, the Market Bias indicator is a decision-support tool. It encourages a disciplined, top-down approach to trading.
Use the HTF Table first to establish your strategic directional bias for the day or week.
Use the on-chart MAs and colored bars to analyze the trend on your preferred trading timeframe.
Use the optional crossover markers only as a final confirmation or timing tool, ensuring they align with the dominant bias established by the higher timeframes.
Chimera [theUltimator5]In myth, the chimera is an “impossible” hybrid—lion, goat, and serpent fused into one—striking to look at and formidable in presence. The word has come to mean a beautiful, improbable union of parts that shouldn’t work together, yet do.
Chimera is a dual-mode market context tool that blends a multi-input oscillator with classic ADX/DI trend strength, plus optional multi-timeframe “gap-line” tracking. Use it to visualize regime (trend vs. range), momentum swings around an adaptive midline, and higher timeframe (HTF) reference levels that auto-terminate on touch/cross.
Modes
1) Oscillator view
A smoothed composite of five common inputs—RSI, MACD (oscillator), Bollinger position, Stochastic, and an ATR/DI-weighted bias. Each is normalized to a comparable 0–100 style scale, averaged, and plotted as a candle-style oscillator (short vs. long smoothing, wickless for clarity). A dynamic midline with standard-deviation bands frames neutral → bearish/bullish zones. Colors ramp from neutral to your chosen Oversold/Overbought endpoints; consolidation can override to white.
Here is a description of the (5) signals used to calculate the sentiment oscillator:
RSI (14): Measures recent momentum by comparing average gains vs. losses. High = strength after advances; low = weakness after declines. (Z-score normalized to 0–100.)
MACD oscillator (12/26/9): Uses the difference between MACD and its signal (histogram) to gauge momentum shifts. Positive = bullish tilt; negative = bearish. (Z-score normalized.)
Bollinger Bands position (20, 2): Locates price within the bands (0–100 from lower → upper). Near upper suggests strength/expansion; near lower suggests weakness/contraction. (Then normalized.)
Stochastic (14, 3, 3): Shows where the close sits within the recent high-low range, smoothed via %D. Higher values = closes near highs; lower = near lows. (Scaled 0–100.)
ATR/DI composite (14): Volatility-weighted directional bias: (+DI − −DI) amplified by ATR as a % of price and its relative average. Positive = bullish pressure with volatility; negative = bearish. (Rank/scale normalized.)
All five are normalized and averaged into one composite, then smoothed (short/long) and compared to an adaptive midline with bands.
2) ADX view
Shows ADX, +DI, –DI with user-defined High Threshold. Transparency and color shift with regime. When ADX is strong, a directional “fire/ice” gradient fills the area between ADX and the high threshold, biased toward the dominant DI; when ADX is weak, a soft white fade highlights low-trend conditions.
HTF gap-line tracking (optional; both modes)
Detects “gap-like” reference levels after weak-trend consolidation flips into a sudden DI jump.
Anchors a line at the event bar’s open and auto-terminates upon first touch/cross (tick-size tolerance).
Auto-selects up to three higher timeframes suited to your chart resolution and prints non-overlapping lines with labels like 1H / 4H / 1D. Lower-priority duplicates are suppressed to reduce clutter.
Confirmation / repaint notes
Signals and lines finalize on bar close of the relevant timeframe.
HTF elements update only on the HTF bar close. During a forming bar they may appear transiently.
Line removal finalizes after the bar that produced the touch/cross closes.
Visual cues & effects
Oscillator candles: Open/High = long smoothing; Low/Close = short smoothing (no wicks).
Adaptive bands: Midline ± StdDev Multiplier × stdev of the blended series.
Consolidation tint: Optional white backdrop/candles when the consolidation condition is true (balance + low ADX).
Breakout VFX (optional): With strong DI/ADX and Bollinger breaks, renders a subtle “fire” flare above upper-band thrusts or “ice” shelf below lower-band thrusts.
Inputs (high-level)
Visual Style: Oscillator or ADX.
General (Oscillator): Lookback Period, Short/Long Smoothing, Standard Deviation Multiplier.
Color (Oscillator): Oversold/Overbought colors for gradient endpoints.
Plot (Oscillator): Show Candles, Show Slow MA Line, Show Individual Component (RSI/MACD/BB/Stoch/ATR).
Table (Oscillator): Show Information Table & position (compact dashboard of component values + status).
ADX / Gaps / VFX (both modes): ADX High Threshold, Highlight Backgrounds, Show Gap Labels, Visual Overlay Effects, and color choices for current-TF & HTF lines.
HTF selection: Automatic ladder (3 tiers) based on your chart timeframe.
Alerts (built-in)
Buy Signal – Primary: Oscillator exits oversold.
Sell Signal – Primary: Oscillator exits overbought.
Gap Fill Line Created (Any TF)
Gap Fill Line Terminated (Any TF)
ADX Crossed ABOVE/BELOW Low Threshold
ADX Crossed ABOVE/BELOW High Threshold
Consolidation Started
Alerts evaluate on the close of the relevant timeframe.
How to read it (quick guide)
Pick your lens: Oscillator for blended momentum around an adaptive midline; ADX for trend strength and DI skew.
Watch extremes & mean re-entries (Oscillator): Approaches to the top/bottom band show persistent momentum; returns toward the midline show normalization.
Check regime (ADX): Below Low = low-trend; above High = strong trend, with “fire/ice” bias toward +DI/–DI.
Track gap lines: Fresh labels mark new reference levels; lines auto-remove on first interaction. HTF lines add context but finalize only on HTF close.
The uniqueness from this indicator comes from multiple areas:
1. A unique multi-timeframe algorithm detects gap fill zones and plots them on the chart.
2. Visual effects for both visual modes were hand crafted to provide a visually stunning and intuitive interface.
3. The algorithm to determine sentiment uses a unique blend of weight and sensitivity adjustment to create a plot with elastic upper and lower bounds based off historical volatility and price action.
Champs LevelsEasy Bullish & Bearish sentiments to show short term trends.
How it works:
Orange line → 8 EMA
Purple line → Premarket High
Red line → Premarket Low
Background flashes green when above both, red when below both
🚀 marker = bullish breakout, ⚠ marker = bearish breakdown
Alerts for both sides
Funding Rate Aggregated (Lite)Funding Rate Aggregated (Lite) provides traders with a consolidated view of perpetual futures funding rates across multiple major exchanges. Instead of monitoring each market individually, the script aggregates the available data into a single, average funding rate series—streamlining analysis and helping identify market-wide positioning imbalances.
The indicator supports Binance, Bybit, OKX, Bitget, and Coinbase, with user-controlled toggles to enable or disable specific venues. For exchanges offering multiple quote currencies (e.g., USDT, USD, or USDC pairs) inclusion is based on whether their trading activity (volume) is relevant (determined manually, not via code). Each available rate is checked and included in the calculation only if valid, ensuring the average reflects actual market conditions.
From a technical standpoint, the script:
Retrieves real-time funding rate data directly via request.security for the current symbol’s base currency.
Applies standard formatting similar to TradingView's official indicator.
Visualizes the average funding rate with color-coded plotting (green for positive, red for negative), alongside a neutral zero reference line.
Why it is useful:
Funding rates are a direct measure of long/short market bias in perpetual swaps. Persistently high positive rates often indicate overcrowded longs, while negative rates can reveal excessive shorting.
By combining multiple exchanges into one metric, traders gain a more robust signal, reducing noise from isolated exchange-specific anomalies.
This aggregated perspective can assist in timing contrarian trades, spotting funding-driven inefficiencies, and gauging overall market sentiment.
Applications in trading include:
Sentiment analysis: Assess whether perpetual futures traders are leaning heavily long or short.
Cross-exchange confirmation: Ensure that extreme funding isn’t confined to a single venue.
Risk management: Identify periods of elevated funding costs that may erode profitability in longer-term positions.
Strategy filters: Integrate the aggregated rate as a condition for entries/exits, or to adjust position sizing during extremes.
The Lite designation emphasizes simplicity and efficiency: the indicator avoids unnecessary visual and data-driven clutter and focuses on delivering one clear, aggregated signal that can be adapted to a wide range of trading styles.
RSI + ARBR 组合指标The RSI + ARBR indicator mainly harmonizes the values of the two indicators, enabling investors to exit at market tops or buy at market bottoms when market sentiment surges or collapses.
### 补充说明:
- **RSI**:全称为Relative Strength Index(相对强弱指数),是常用的技术分析指标,用于衡量市场多空双方力量的对比。
- **ARBR**:由AR(Activity Ratio,人气指标)和BR(Buying Ratio,意愿指标)两个子指标组成,主要反映市场交易的活跃程度和投资者的买卖意愿。
- 句中“逃顶”译为“exit at market tops”,“抄底”译为“buy at market bottoms”,均为金融领域常用表达,准确对应“在高位卖出规避风险”和“在低位买入等待上涨”的操作含义。
Futures Forward Price [NeoButane]In futures markets, the theoretical value of a futures contract can be derived from its underlying price and cost of carry. By baking in the costs and potential yields, the theoretical forward price then be used in basis against futures prices in place of the underlying spot price.
Usage
The script creates plots on the main chart and a separate window pane. Both are meant to be used to visualize dislocations in the market.
By using a futures vs. forward basis instead of futures vs. spot basis, discounts in the market are clearer.
Last month, the gold futures market GCZ2025 traded >1% above forward price when tariffs were announced and fell back in line once the tariffs were verbally retracted.
View roll spreads over a back-adjusted continuous chart. I guess. I don't think spread traders only look at one chart. This is as educational for me as it is you.
Configuration
The underlying reference needs to be changed to match the futures contract you are using.
The Risk-Free Rate defaults to FRED:SOFR. I found the contract month matched 3-Month SOFR Futures to be the closest for forward price.
Risk-Free Rate: The interest rate source for forward price.
Constant Risk-Free Rate: a static interest rate that can be used in advance of future changes in risk-free rate.
Underlying Reference: spot or index price. Some examples include TVC:SPX, TVC:GOLD, CRYPTO:BTCUSD, TVC:USOIL.
Forward Price Compounding: determines which formula to use. They're similar and become closer as the contract matures.
Alternative Contract: enable and select a futures contract to use it on a chart different than the main.
Storage Cost and Yield: for use with commodities. I haven't found a proper use for them yet but enabling is simple if you are able to.
The following are meant to be used with the continuous formula as they are compounded. However the rate sources don't differ much for the purpose of futures prices.
3-Month CME SOFR Futures
3-Month ICEEUR SONIA Futures
3-Month Osaka TONA Futures
The other rate sources are either meant for futures contracts shorter than quarterly such as monthly crypto futures or were meant to help myself understand how different rates would align with futures prices, like inflation.
What this script does
It uses the cost of carry formula to output the forward price (red line). The underlying reference (green line) is plotted alongside and a futures-derived reference (blue line) can be displayed to see how it looks next to the real reference price.
The data pane displays either the nominal difference or percentage difference between the real futures price and the calculated forward price.
Further reading
www.investopedia.com
www.cmegroup.com
www.oxfordenergy.org
www-2.rotman.utoronto.ca
www.cmegroup.com
3-month rate futures
www.cmegroup.com
www.ice.com
www.bankofengland.co.uk
www.jpx.co.jp
Reverse RSI [R] – Predictive RSI Price LevelsReverse RSI – Predictive RSI Price Levels
Description
This indicator is a modified and enhanced version of the original "Reverse RSI" by Franklin Moormann (cheatcountry), published under the MIT License. It estimates the price levels at which the RSI would reach specific thresholds, typically RSI = 30 (oversold) and RSI = 70 (overbought), based on current market conditions.
Key Features
Calculates price levels corresponding to RSI = 30 and RSI = 70
Helps forecast potential support and resistance zones based on RSI targets
Automatically updates with each new candle
Supports custom RSI length and price source (close, hl2, ohlc4, etc.)
Designed for traders who want to anticipate momentum extremes before they occur
Use Cases
Estimate how far the price must move to reach RSI oversold or overbought levels
Plan limit entries or exits based on projected RSI thresholds
Combine with standard RSI or other indicators for confirmation and analysis
Credits
This script is based on the original "Reverse RSI" by Franklin Moormann (cheatcountry) and released under the MIT License.
Modified and maintained by bitcoinrb.
CVD Spaghetti - Multi-Exchange (Perpetuals)CVD Spaghetti – Multi-Exchange (Perpetuals) is designed to track and visualize Cumulative Volume Delta (CVD) across multiple cryptocurrency perpetual futures exchanges in one consolidated view. This indicator provides traders with a clearer perspective on buying and selling pressure by monitoring how order flow develops on different venues simultaneously.
What it does
The script calculates the CVD for each enabled exchange and plots them as separate lines on a single chart, creating a “spaghetti” style visualization. This allows traders to identify relative strength or weakness between major exchanges, which can often hint at institutional positioning, liquidity shifts, and potential market imbalances.
Why it’s useful
Order flow and liquidity dynamics can differ significantly between exchanges. By aggregating and comparing these flows, traders can:
Detect which venue is leading during trend development.
Spot divergences between exchanges, which may indicate inefficiencies or arbitrage-driven movements.
Gauge overall sentiment strength by comparing multiple sources instead of relying on a single dataset.
Technical details
Anchor Period Reset: The cumulative calculation resets based on the user-defined Anchor Period (default: daily), keeping data relevant for the chosen trading horizon.
Dynamic Resolution: The script automatically selects an appropriate lower timeframe for data requests based on the chart timeframe to maintain responsiveness and accuracy.
Normalization: Not all exchanges report volume in the same way—some use quote currency (USD), others in contracts or ticks. To ensure comparability, this indicator normalizes volumes where necessary:
Bybit USD and OKX contracts are divided by price to approximate base-coin terms.
Single-contract venues (e.g., Deribit) are normalized similarly.
Exchanges already reporting in the base currency remain unchanged.
Multi-Exchange Coverage: Supports major venues including Binance, Bybit, OKX, Bitget, Coinbase, and optional secondary exchanges like Blofin, Whitebit, and Deribit.
Visual Aids:
Zero baseline for directional reference.
Vertical session markers at each reset point.
Optional exchange labels positioned dynamically on the last bar for quick identification.
How traders might use it
Trend confirmation: Strong synchronized CVD across all major exchanges supports continuation; fragmentation may suggest weakening conviction.
Cross-exchange divergence: When one exchange’s CVD diverges from others, it can signal localized liquidity shocks or large player activity.
High-frequency strategies: On lower timeframes, the spaghetti view can highlight which venue is absorbing or providing liquidity fastest, aiding short-term decision-making.
RSI + Stochastic Alert with Advanced Doji ConfirmationCredits to Ahmed Alasfoor and Somou by Zakariya Hamad AlJulandani
Full Candle Higher/Lower (No Repeats)🔎 What the Script Does (Pine Script v6)
Keeps track of the last signal
Uses a persistent variable lastSignal (initialized once as "none").
Ensures that if a signal repeats consecutively, it won’t be triggered again.
Defines the conditions for a “Higher” or “Lower” candle sequence
Higher condition:
Current close > previous high, AND previous low ≤ the high of two bars ago.
→ This means the candle has fully broken higher.
Lower condition:
Current close < previous low, AND previous high ≥ the low of two bars ago.
→ This means the candle has fully broken lower.
Checks for new signals only
If a candle meets the condition and the last signal wasn’t the same, a new signal is triggered.
Updates lastSignal to prevent repeats.
Plots labels/arrows
A “Higher” signal shows a green label below the bar.
A “Lower” signal shows a red label above the bar.
Sets alerts
So you can be notified in TradingView whenever a “Higher” or “Lower” flag is detected.
📊 Trading Logic in Words
The indicator is looking for full candle breakouts.
If a candle closes above the previous high (with some confirmation from older bars), it flags it as a “Higher” signal.
If a candle closes below the previous low (with similar confirmation), it flags it as a “Lower” signal.
It avoids duplicate consecutive signals by remembering what the last one was.
✅ Why It’s Useful
Helps traders spot momentum continuation candles (strong push candles).
Reduces noise by not repeating the same signal multiple times in a row.
Works like a breakout detector that tells you when the market is making a new leg up or new leg down.