GOLD TERTIUM MGC 1mThis indicator is a visual tool for TradingView designed to help you read trend structure using EMAs and highlight potential long and short entries on the MGC 1‑minute chart, while filtering pullbacks and avoiding trades when the 200 EMA is flat.
It calculates five EMAs (32, 50, 110, 200, 250) and plots them in different colors so you can clearly see the moving‑average stack and overall direction. The main trend is defined by the 200 EMA: bullish when price and the fast EMAs (32 and 50) are above it with a positive slope, and bearish when they are below it with a negative slope; if the 200 EMA is almost flat, signals are blocked to reduce trading in choppy markets.
Entry logic looks for a pullback into the 32–50 EMA zone on the previous candle, then requires a trend‑aligned candle to trigger a signal: long when the trend is up, the previous bar retested the EMA zone, and the current bar closes above EMA 32 with a bullish body; short when the trend is down, there was a valid retest, the current bar closes below EMA 32 with a bearish body and EMA 32 is below EMA 50. On the chart, you will see colored EMAs plus green “L” triangles under bars for potential long entries and red “S” triangles above bars for potential short entries, which are meant as visual cues rather than automatic trade instructions
อินดิเคเตอร์และกลยุทธ์
TraderSpace Previous CloseAvailable in the following timeframes:
5minute
15minute
1hour
4hour
Daily
Weekly
Monthly
TGIF RSI MIDWhen RSI crosses 50, shows a vertical line green for bullish and red for bearish will appear..
First 15 min of Each Hour First 15 Minutes of Each Hour – Background Highlighter
This indicator visually highlights the first 15 minutes of every hour by coloring the chart background. It is designed to help traders quickly identify key intraday time windows often associated with increased volatility, session opens, or strategy-specific execution periods.
The highlight automatically repeats every hour and adapts to the chart’s timeframe and timezone. It works best on intraday charts (1m, 3m, 5m, 15m), where precise time-based structure is important.
Key Features:
Automatically marks minutes 00–14 of every hour
Clean, non-intrusive background shading
Fully customizable color and transparency
No future bar repainting
Ideal for scalping, session-based, and time-window strategies
Use Cases:
Identifying opening volatility each hour
Time-based entries and confirmations
Liquidity sweep or breakout models
Algo execution timing visualization
This indicator does not generate trade signals. It is a visual time-management tool intended to improve clarity and discipline in intraday trading.
LunarSolverLunarSolver Library
Implements analytical approximations from Éphéméride Lunaire Parisienne (ELP2000-82B) lunar theory (Chapront-Touzé & Chapront). Uses truncated Fourier series of the main problem in Delaunay arguments D, l, l', F.
Exported functions:
delta_t(t_ms) → ΔT (seconds); polynomial fit valid ~1950–2050.
julian_day_tt(t_ms) → JD in Terrestrial Time from UTC millisecond timestamp.
jde_tt_to_utc_ms(jde_tt) → Approximate UTC millisecond timestamp from JD TT.
elp_true_distance_km_50(jd_tt) → Geocentric distance (km); 50 largest-amplitude terms.
elp_new_moon_solver_50(k) → JDE TT of new moon nearest lunation number k (k=0 ≈ 2000-01-06); 50-term longitude series + Newton-Raphson iteration (convergence <0.005 days).
elp_full_moon_solver_50(k) → JDE TT of full moon nearest k (k=0 ≈ 2000-01-21); 50-term longitude series + nutation correction + damped iteration (convergence <0.001 days).
Accuracy (truncation-limited):
- Distance: typically ± 10 - 100 km.
- Syzygy times: typically ± few minutes.
Import:
import telephonejack/LunarSolver/1 as lunar
Usage examples:
//@version=6
indicator("Lunar Distance Demo")
float jd_tt = lunar.julian_day_tt(time)
float dist_km = lunar.elp_true_distance_km_50(jd_tt)
plot(dist_km, "Distance (km)")
// Approximate lunation k for current bar
float k_approx = (lunar.julian_day_tt(time) - 2451550.25977) / 29.530588861
int k = math.round(k_approx)
float new_jde = lunar.elp_new_moon_solver_50(k)
float full_jde = lunar.elp_full_moon_solver_50(k)
Coefficients: top 50 terms by amplitude from ELP main problem series (radius vector & longitude). Phase solvers use longitude terms only. Library contains no latitude series.
Disclaimer: The library was developed with assistance from Grok 4.1, always under human supervision and decision-making.
EMA Trend Reversal (Regime Change)EMA Trend Reversal (Regime Change)
This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system.
It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness.
Detailed User Guide
What the signals mean
Confirmed signals (dots)
Green dot below price
- EMA slope has confirmed upward (bullish regime shift)
Red dot above price
- EMA slope has confirmed downward (bearish regime shift)
Confirmed dots only appear after the candle closes.
Unconfirmed signals (triangles)
Yellow triangle below price
- EMA is turning up intrabar (not yet confirmed)
Yellow triangle above price
- EMA is turning down intrabar (not yet confirmed)
Unconfirmed signals may repeat at a set interval until confirmation.
Alerts
This script provides two alerts:
EMA Reversal UP
EMA Reversal DOWN
Each alert can fire on:
Initial unconfirmed reversal
Reminder interval while unconfirmed
Final confirmed reversal
Alerts will NOT fire unless this indicator is active on at least one chart.
It may be kept on a chart you do not actively trade.
Settings
EMA Length (default: 21)
Reminder interval (minutes)
Show / hide unconfirmed triangles
Show / hide confirmed dots
Dot transparency
Colors (locked to preserve signal meaning)
Best use cases
Identifying trend or regime changes
Weekly swing trade entries and exits
Holding-period guidance during trends
Alert-based monitoring without watching charts
This is not a scalp or oscillator signal.
It works best when combined with structure, support/resistance, or higher-timeframe context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
All trading involves risk. Use at your own discretion.
EMA Close Cluster crossover 2026-3Buy/Sell signal when Ema10,ema20, ema50 comes closes to each other and all 3 crosses above and below and price closes above or below ema10
Cumulative % Change & Inflation-Adjusted (Auto CPI by Currency)This indicator tracks an asset’s cumulative performance from a user-defined start date (T0) and compares nominal returns with inflation-adjusted (“real”) returns, automatically selecting the appropriate CPI series based on the asset currency (USD or EUR).
What it shows
Nominal cumulative return (%) from T0, based on the selected price series.
Inflation change (%) from T0, using a monthly CPI index:
USD assets: US CPI (FRED CPIAUCSL)
EUR assets: Euro Area CPI (TradingView Economics EUCPI)
Real cumulative return (%) from T0, i.e., nominal return deflated by cumulative CPI.
Key inputs
T0 (start date): Year / month / day used as the reference point.
Asset currency (USD/EUR): Drives automatic CPI selection.
Initial capital: Starting value expressed in the asset’s currency; used to display current nominal and real (inflation-adjusted) portfolio value.
Performance ticker (optional): Lets you compute performance using a different symbol than the chart (e.g., a total-return series or an accumulating ETF). If left empty, the script uses the chart’s symbol.
Outputs
Plots
Nominal cumulative % change
Real (inflation-adjusted) cumulative % change
CPI % change
Summary table
Nominal return %
Real return %
CPI change %
Reference date (T0)
Initial value
Current nominal value
Current inflation-adjusted value
Performance ticker used
Notes
CPI is monthly, so the inflation line updates in steps.
If you use a price series that does not include dividends (standard “close”), nominal/real returns may underestimate total return for dividend-paying assets.
EMABu indikatör; EMA 3, 5, 8, 10, 13, 20, 50, 88, 100 ve 200 periyotlu üstel hareketli ortalamaları tek bir seferde grafiğinize ekler ve her ortalama için ayrı ayrı alarm kurma imkanı sunar.
This indicator plots 10 different Exponential Moving Averages (EMA 3, 5, 8, 10, 13, 20, 50, 88, 100, and 200) simultaneously on your chart. It features individual alert conditions for each moving average, allowing you to set specific notifications for price crossovers at any period.
Main Features:
Multiple EMA Periods: Includes short, medium, and long-term averages.
Alerts: Individual alert conditions for all 10 EMA lines.
Visuals: Each line is colored differently for easy identification.
Price Labels: Values are visible on the right-hand price scale.
Silver vs S&P 500 (Rebased to 100) I have ensured that silver prices and the s&p 500 price are overlayed to give the common folk an understanding. The important part is that the prices are rebased in nature. i.e. if they both started at 100 from an n year which in this case is 1992.
GK1 Long only Daily Trend Strategy Max 4 Positions Risk-BasedThis strategy buys strong uptrends on the daily chart, risks a fixed % of capital per trade, limits how many trades are open at once, and exits using a trailing volatility stop or when the trend weakens.
What kind of market does this work best in?
1.Strong, persistent trends
2.Index ETFs, sector ETFs, large-cap stocks
3.Bull markets or strong sector rotations
It will underperform in:
Sideways markets
Choppy ranges
High-frequency reversals
The market condition this is looking for " A healthy, established uptrend"
It only goes LONG (no shorts) and only when all of these are true:
Short-term trend is up:
14-day moving average > 50-day moving average
Long-term trend is bullish:
Price is above the 200-day moving average
Primary trend is improving:
200-day MA is rising (today > yesterday)
Volume is normal (not dead, not crazy):
Avoids illiquid days and blow-off spikes
Translation: “I only buy when the market is already strong and behaving normally.”
It can hold up to 4 positions at the same time
Designed for multiple signals across time, not over-trading
You choose a Risk % per trade (default = 1%)
That means: If the stop loss is hit, you lose ~1% of your total account
It uses ATR (Average True Range):
ATR measures how much the market normally moves
Stop loss = 2.5 × ATR
Position size =
(1% of account) ÷ stop distance
So:
Volatile market → smaller position
Calm market → bigger position
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
NY VWAP 2std to 3std Probabilities + Exit ZonesHow it works:
Time buckets
Early: 10:30 – 12:00
Mid: 12:00 – 14:00
Late: 14:00 – 16:00
Bands
2σ band (s2up / s2dn) → this is where the “potential breakout” starts.
3σ band (s3up / s3dn) → this is the “target” for the 2→3σ move.
Counting logic
If during a given bucket, the price touches the 2σ band, it counts as a 2σ hit.
If after that, in the same bucket, the price also touches the 3σ band, it counts as a 3σ hit.
Probability calculation
\text{Probability 2→3σ} = \frac{\text{# of 3σ hits}}{\text{# of 2σ hits}} \times 100
For example, if in the late session the lower 2σ band is hit 10 times, and of those 10 times, 6 eventually hit the lower 3σ band, the script will show 60%.
Labels / lines
On the chart, Upper/Lower 2→3σ probabilities are displayed per bucket.
So yes: “Late Lower 2σ → 3σ: 60%” means: if price touches the lower 2σ band in the late session, historically, 60% of those touches continued to the 3σ band.
⚠ Important caveats:
These are historical probabilities, not predictions.
Small sample sizes in a bucket can make percentages unstable early in the day.
The script only counts session NY bars (0930–1600) and ignores pre-10:30 hits to reduce opening volatility noise.
HTFStructCore_v2Library "HTFStructCore_v2"
f_structure_from_pivots(phSeries, plSeries)
Parameters:
phSeries (float)
plSeries (float)
f_adx_from_series(plusDMSeries, minusDMSeries, trSeries, adxLen)
Parameters:
plusDMSeries (float)
minusDMSeries (float)
trSeries (float)
adxLen (simple int)
f_retest_triggers(trendRaw, lastHigh, lastLow, retestTol, enableRetest)
Parameters:
trendRaw (int)
lastHigh (float)
lastLow (float)
retestTol (float)
enableRetest (bool)
f_sweep_triggers(trendRaw, sweepLookback, enableSweep)
Parameters:
trendRaw (int)
sweepLookback (int)
enableSweep (bool)
f_risk(lastLow, lastHigh, atrLen, atrStopMult, atrTpMult, preferTightStop)
Parameters:
lastLow (float)
lastHigh (float)
atrLen (simple int)
atrStopMult (float)
atrTpMult (float)
preferTightStop (bool)
Auction Context Engine ( Value Area, VWAP & Regime)📌 Indicator Name
Auction Context Engine (Value Area, VWAP & Regime)
Short name: ACE Context
🧠 Description
Auction Context Engine (ACE) is a professional market context and structure indicator based on Auction Market Theory.It is designed to help traders understand where the market is positioned, not to generate trade signals.
ACE focuses on:
• Developing Value Area (VAH / VAL)
• Developing Point of Control (POC)
• Session VWAP positioning
• Volatility regime expansion
• Opening Range context
• Failed auction / trap detection
• Market bias and environment quality
This indicator provides context only and is intended to be used alongside a separate execution strategy or system.
🎯 What This Indicator Is
✔ A context engine
✔ A market structure filter
✔ A bias alignment tool
✔ A regime and environment classifier
❌ What This Indicator Is NOT
✘ Not a signal generator
✘ Not a buy/sell system
✘ Not a strategy
✘ Not a profitability promise
📊 How To Use
Use ACE to answer:
• Is price accepting or rejecting value?
• Is the market in balance or expansion?
• Is VWAP supporting or opposing price?
• Is this a breakout environment or a trap?
• Is volatility expanding?
• Is the market trending or ranging?
You may then use your own execution strategy aligned with this context.
🟢 Core Components
Developing Value Area
• VAH / VAL dynamically update through the session
• POC tracks highest traded volume area
VWAP Position
• Above VWAP = bullish bias
• Below VWAP = bearish bias
Opening Range Context
• Detects breakouts or balance after session open
Volatility Regime
• Identifies expansion vs normal conditions
Failed Auction Detection
• Highlights trap conditions near value extremes
Market Quality
• Strong / Mixed / Weak environment classification
Context Table
• Clean 1-column vertical dashboard with color-coded bias
🔵 Visual Elements
• Developing VAH, VAL, POC lines
• Session VWAP
• Small context dots when environment turns READY
• Compact professional context table
⚙️ Settings
• Value Area bin size
• Value area percentage
• Opening range duration
• Regime expansion factor
• Line colors and thickness
• Context table ON/OFF
• Context dots ON/OFF
🧩 Best Use Case
This indicator is ideal for:
• Intraday trading
• Index futures and equities
• Options context filtering
• Trend / range regime identification
• Professional discretionary traders
⚠️ Disclaimer
This script is provided for educational and informational purposes only.It does not constitute financial or investment advice.Trading involves risk. Always use proper risk management.
Breakout Pro_V3Advanced breakout/breakdown indicator featuring multi-pattern detection, quality tier scoring (S/A/B/C), strength analysis (0-10), VWAP integration, multi-timeframe filters, and adaptive R-based take-profit/stop-loss framework. Includes comprehensive dashboard with real-time metrics and market regime detection.
Breakout Pro_V2Advanced breakout/breakdown indicator featuring multi-pattern detection, quality tier scoring (S/A/B/C), strength analysis (0-10), VWAP integration, multi-timeframe filters, and adaptive R-based take-profit/stop-loss framework. Includes comprehensive dashboard with real-time metrics and market regime detection.
Breakout ProAdvanced breakout/breakdown indicator featuring multi-pattern detection, quality tier scoring (S/A/B/C), strength analysis (0-10), VWAP integration, multi-timeframe filters, and adaptive R-based take-profit/stop-loss framework. Includes comprehensive dashboard with real-time metrics and market regime detection.
Breakout Alert Pro + VWAPAdvanced breakout/breakdown indicator featuring multi-pattern detection, quality tier scoring (S/A/B/C), strength analysis (0-10), VWAP integration, multi-timeframe filters, and adaptive R-based take-profit/stop-loss framework. Includes comprehensive dashboard with real-time metrics and market regime detection.
HSLevelsLibPubLibrary "HSLevelsLibPub"
Centralized levels library for Heatseeker trading system.
Update levels HERE ONCE - all consuming scripts auto-refresh.
getVIXThresholds()
Returns VIX threshold levels for regime determination
Returns: as tuple of floats
getVIXThresholdsCSV()
Returns VIX thresholds as CSV strings
Returns: as tuple of strings
getExpiry()
Returns current options expiry date in YYMMDD format
Returns: string in YYMMDD format (e.g., "260108" for Jan 8, 2026)
getAnchorStrike(symbol)
Returns the anchor strike price for a given symbol
Parameters:
symbol (simple string) : The ticker symbol (SPY, QQQ, SPX, VIX)
Returns: float anchor strike price
getFractalPrices(symbol)
Returns fractal level prices as CSV for a symbol
Parameters:
symbol (simple string) : The ticker symbol (SPY, QQQ, SPX)
Returns: string of comma-separated prices
getFractalLabels(symbol)
Returns fractal level labels as CSV for a symbol
Parameters:
symbol (simple string) : The ticker symbol (SPY, QQQ, SPX)
Returns: string of comma-separated labels
getFractalLevels(symbol)
Returns both fractal prices and labels as CSV tuple
Parameters:
symbol (simple string) : The ticker symbol
Returns: tuple
getAnchorStrikeAuto()
Auto-detect symbol and return appropriate anchor strike
Returns: float anchor strike for current chart symbol
getFractalLevelsAuto()
Auto-detect symbol and return fractal levels
Returns: for current chart symbol
getAllData(symbol)
Get all data for a symbol in one call
Parameters:
symbol (simple string) : The ticker symbol
Returns:
getVersion()
Returns library version and last update timestamp
Returns: string with version info
Volume MarkersMarks POC, VAL, and VAH over a selected period of time and extends a horizontal line from each marker into the future for a selected period of time






















