Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
Moyennes mobiles
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower
Overview
The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD).
It focuses only on BUY opportunities and encourages patience during market pullbacks.
The goal is to trade with the main trend, not against it.
Instructions
1. The script automatically plots 7MA (fast) and 200MA (slow).
2. When 7MA crosses above 200MA, a BUY signal appears.
3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY.
Usage Rules
• Recommended timeframe: 15-minute or higher.
• If used below 15 minutes, treat it as day trading — close trades within the same day.
• Focus on long-term holding and small lot sizes to protect your capital.
Signal Guide
🟢 BUY → Enter the trend direction.
🟠 Standby → Pause new entries and wait patiently.
Alerts
Set alerts to "Once per bar close":
• BUY Signal → Golden Cross confirmed.
• Standby Signal → Death Cross confirmed.
Philosophy
"Obey the rules, and your probability of success increases."
This system rewards patience, discipline, and long-term trend following.
Follow me for more TradingView scripts and updates.
Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。
基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。
推奨時間軸：15分足以上。
15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。
ロットを小さく保ち、長期保有で安定した運用を目指してください。
Volume Spike (Multi-Timeframe)Volume Spike (Multi-Timeframe)
Overview
Volume Spike (Multi-Timeframe) evaluates traded volume against its moving average on a selected timeframe so traders can identify when activity departs from recent norms.
What it does
Calculates volume on the chart timeframe or any alternate timeframe you select in the inputs.
Builds a configurable simple moving average to establish a rolling volume benchmark.
Applies distinct colors to spike and baseline volume columns to highlight deviations.
Plots the related moving-average line for reference.
Registers an alert condition when volume closes above its moving-average baseline.
How to use it
Choose the desired Volume Timeframe (leave blank to inherit the chart’s period).
Tune the Volume MA Length to balance responsiveness and noise.
Adjust the spike, base, and MA colors to align with existing chart styling.
Enable the alert condition when automated notification of spikes is needed.
Implementation notes
Timeframe selection is applied consistently to both the raw volume series and its moving average.
Color inputs allow visual adjustments without modifying code.
Alert messaging specifies that the event is a volume spike relative to the selected timeframe baseline.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Institutional Compression Breakout (ICBO Algo) [@darshakssc]The ICBO Algo is a smart intraday trading tool that detects institutional compression zones followed by breakout confirmation. It combines candle range analysis, volume compression, EMA filtering, and ATR-based Risk/Reward zones to highlight high-probability trade setups with visual clarity.
This script is designed for educational and research purposes only, fully aligned with TradingView’s Pine Script policy and publishing guidelines.
🔍 Key Features
🌀 Compression Zone Detection
Identifies low-range, low-volume candles often formed before institutional breakouts.
📈📉 Breakout Signals
Triggered after confirmed price + EMA breakout post-compression.
📊 Dashboard Panel
Displays breakout phase, current R:R ratio, and zone status in real-time.
🟢🔴 Buy/Sell Labels with Emojis
Clean and non-intrusive labels for immediate action recognition.
🔔 Alerts Included
Receive real-time push, email, or webhook alerts for breakout signals.
⚙️ How It Works
Compression Phase:
When the candle range and volume are significantly lower than the moving average, the script flags it as a compression zone.
Breakout Confirmation:
A breakout signal is confirmed when the price breaks the previous high/low and is above/below the trend EMA.
Entry Logic:
📈 Buy: Price > previous high + above EMA after compression
📉 Sell: Price < previous low + below EMA after compression
⚠️ Disclaimer
This script is intended for educational and research purposes only. It does not constitute financial advice or recommendations of any kind. Always use proper risk management. Past performance does not guarantee future results.
TIME Indicator – CET (hour-based) + Bias Forecast + Alerts [EN]TIME Indicator – CET + Bias Forecast + Alerts
What it does
Splits each day (CET/CEST) into 7 fixed time windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24.
Detects market regime (Bull/Bear/Neutral) automatically from an HTF EMA (configurable), or you can set the regime manually.
Maps each day-of-week × window to an expected behavior (Bull/Bear/Neutral/Chop) with strength 1–5 (your research schedule).
Backtests on-the-fly: logs each finished window’s return to compute:
Hit-rate (directional accuracy on Bull/Bear calls)
Average % move (log-return → %)
t-stat (significance)
Observation counts N
Visualizes results via:
Heatmap 7×7 (Days × Windows) with selectable metric (Hit-rate / Avg% / t-stat)
Day (paged) table
Split 2× (long) tables to fit small screens
Forecast panel: shows the next N windows (default 8) with labels and color tint based on category + strength. Uses CET midday anchoring to avoid day-shift bugs.
Regime logic
HTF EMA (length configurable) on a selectable timeframe (HTF for regime/tfStats).
“Bull” when price > EMA (optionally EMA slope > 0); “Bear” when price < EMA (slope < 0); else “Neutral”.
Tip: for 1h charts use tfStats=240 (4h) for a stable bias; for 2h charts consider 240–360; swing traders can go 360–720.
Color language
Green shades = Bull (strength 1–5)
Red shades = Bear (1–5)
Orange = Chop (1–5)
Gray = Neutral/Range (1–5)
Optional: neutral/chop can be tinted by current regime (setting).
Alerts (3 modes)
Every window (baseline) – fires at the start of each window, always (for manual verification).
Qualified window – fires at window start only if stats meet your thresholds: Min N, Min Hit-rate.
Hourly ping (CET) – optional every-hour reminder (also mid-window).
Alert message example
Monday 6–9 — Mild rise (strength 2) | Regime: Bull | Suggest: Long
Hit-rate: 87.4% (N=215) | Avg: 0.23%
Key implementation details
Uses CET/CEST consistently. “Today” is stabilized by CET midday to prevent DOW misalignment across session boundaries.
Windows are computed from CET hour, not exchange sessions, so it’s robust across assets/timezones as long as you want CET logic.
Statistics are maintained in arrays (7×7); each completed window updates N, sum of returns, sum of squares, directional hits, etc.
Heatmap cells compute metric + color strength dynamically; you can switch the displayed metric from the input.
Inputs (most useful)
Market regime: Auto (EMA) / Bull / Bear / Neutral
EMA length (Auto), HTF for regime (minutes), Require slope
Results view: Heatmap 7×7 / Day (paged) / Split 2× (long)
Heatmap metric: Hit-rate / Avg % / t-stat
Forecast: number of upcoming windows, color opacity, tint neutral by regime
Alerts: enable baseline/qualified/hourly, thresholds Min N, Min Hit-rate
How to use
Pick your chart TF (e.g., 1h). Set HTF for regime (e.g., 240) and EMA length (e.g., 100). Keep Require slope = ON for cleaner bias.
Start on Heatmap 7×7 to spot strong day×window pockets. Then use Forecast to see what’s next today/tomorrow.
Turn on ALERT: Every window to get a message at the start of every window; optionally add Qualified for filtered calls.
In TradingView Alerts dialog choose “Any alert() function call” to receive all alert types.
Limitations / notes
This is a statistical bias tool, not a signal generator. Combine with price action, liquidity zones, vol regime, news.
Hit-rates and averages depend on your symbol/timeframe history; results differ across assets and time ranges.
EMA-based regime is HTF-closed; bias flips only after the higher-timeframe bar confirms.
Changelog snapshot (current build)
Pine v6; fixed DOW alignment via CET midday; refactored forecast (next N windows), new baseline/qualified/hourly alerts, color-tinted neutral/chop, improved table layout and text sizing.
If you want, I can also write a short “How to request access” blurb for your private/hidden publication page.
Instructions to Traders
What this tool shows
Day split (CET/CEST): 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24.
For each Day × Window it displays the expected behavior (Bull/Bear/Neutral/Chop) and strength 1–5 based on historical stats.
Heatmap metrics: Hit-rate, Avg % move, or t-stat.
Quick setup
Chart TF: start on 1h (works on 30m–2h too).
HTF for regime (EMA bias):
1h chart → 240 (4h) recommended
2h chart → 240–360
Swing (4h/1D) → 360–720
EMA length: 100 (default). Keep Require slope = ON for cleaner Bull/Bear bias.
View: start with Heatmap 7×7, then try Forecast to see the next windows.
Forecast panel
Shows the next N upcoming windows (default 8), with labels and color by category + strength.
Uses CET midday anchoring to keep weekdays correct (no “day shift” at midnight).
Alerts
Enable ALERT: Every window (no filters) to get a message at the start of every window.
Optionally enable ALERT: Only when N & Hit-rate ok (filtered alerts) and ALERT: Every hour (CET) ping (hourly reminder).
In TradingView’s Create Alert dialog, select “Any alert() function call” to receive all alert types.
Alert text includes: Day + Window, regime, suggestion (Long/Short/Wait), Hit-rate, N, Avg %.
How to use the bias
Treat it as a context/expectation map, not a blind signal.
Combine with structure (HH/HL, S/R), liquidity, volatility regime, and risk management.
Stronger shades (4–5) = stronger historical tendency; still validate with live price action.
Troubleshooting
Day names wrong? Ensure Timezone = Europe/Bratislava (CET/CEST) in inputs.
“No data / n/a”: load more chart history or switch to a symbol with longer data.
Regime feels too jumpy/laggy: adjust HTF for regime and/or EMA length.
Access / contact
If this script is private and you need access, send your TradingView username with the subject “TIMETrading access”.
For support/feedback: describe your symbol, chart TF, HTF setting, and a screenshot.
Disclaimer: Statistical tendencies ≠ certainty. This is educational research, not financial advice. Always use stops and size risk responsibly.
Hurdle rateStocks beating BTC 50 > 200 Week EMA. The indicator is scanning the available stocks for equities that are beating BTC over mid term time frames.
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView
Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis.
Key Features
Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable).
Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing.
Customizable Moving Average settings for both Fast and Slow MA (source and length).
Efficient screener table, highlighting Golden Cross events and current asset trends in one panel.
Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels.
Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist.
How It Works
The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class.
Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table.
Trading Ideas and Insights
Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time.
Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies.
Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset.
Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations.
The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing.
How Multiple Indicators Work Together
This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance.
Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing.
Unique Aspects
True multi-symbol screener within the TradingView indicator framework.
Full customization of screener assets, timeframes, and moving averages.
Advanced, efficient use of TradingView table for clear, actionable visualization.
No dependency on standard, static MA settings—adjust everything to match your strategy.
Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers.
How to Use
Add the Golden Cross Screener Pineify to your TradingView chart.
Choose up to eight symbols—crypto, stock, forex, or custom assets.
Set four timeframes for screening, from lower to higher intervals.
Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style.
Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe.
React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences.
Customization
The indicator’s inputs panel gives full control:
Select which symbols to screen, making it perfect for any asset watchlist.
Pick the desired timeframes—mix daily, hourly, or minute-based intervals.
Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed.
Style your screener table via TradingView settings (colors, font sizes, alignment).
Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus.
Conclusion
The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
Multi IndicatorThis script uses combination of RSI, W %, BB, EMA signals to find movement direction and reversals.
Prakash Balkawade
SPY200SMA (+4%/-3%) TQQQ/QQQ STRATEGYSummary of the Improved Strategy: When the price of AMEX:SPY is +4% above the 200SMA BUY NASDAQ:TQQQ and when the price of SPY drops to -3% under the SPY 200SMA SELL everything and slowly DCA into NASDAQ:QQQ over the next 6-12 months or until price returns to +4% above the SPY 200SMA at which point you will go back into 100% TQQQ.
Note: (if the price of QQQ goes 30% above the 200SMA of QQQ deleverage to QQQ or Sell to protect yourself from dot com level event)
More info and stats -https://www.reddit.com/r/LETFs/comments/1nhye66/spy_200sma_43_tqqqqqq_long_term_investment/
Smart Risk DCA Meter — Adaptive Market Risk EngineThe **Smart Risk DCA Meter** is an adaptive market-risk indicator that helps you invest smarter by scaling your DCA buys based on actual market conditions instead of emotion. It combines momentum, distance from trend, and drawdown factors into a single 0–1 risk score that automatically adjusts to each asset’s volatility — from stable indices like SPX to high-beta assets like BTC. Low readings (green zones) signal opportunity to buy heavier, while high readings (red zones) warn to slow down and protect capital.
AI Bot Regime Feed (v6) — stableThis indicator generates real-time, structured JSON alerts for external trading bots or automation systems.
It combines multiple technical layers to identify market regimes and high-probability buy/sell events, and sends them to any webhook endpoint (e.g., a FastAPI or Zapier listener).
TIME-Trading Indicator + AlertsWhat it is
A Pine Script study that profiles intraday behavior by day+time windows in CET/CEST, verifies it on history, colors the chart by the expected bias & strength, shows tables/heatmaps with backtest stats, and can alert at the start of each window with a full trading summary.
Core ideas
Day is split into 7 CET windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24
(NYC is unified as 15–18 and 18–22 across the whole script.)
For each weekday & window we have an expectation (Bull/Bear/Neutral/Chop) with a strength 1–5 and a label (e.g., “Skokový rast”, “Výplach”…).
Script backtests those expectations on your chart’s history:
Computes return of each window (log-return from first bar open to last bar close of the window).
Counts Hit-rate (bull window = return>0; bear window = return<0; neutral/chop excluded).
Tracks Avg % drift, t-stat, and sample size N.
Trend regime (Auto/Manual)
Auto (EMA): price vs EMA(length) on a higher timeframe (configurable) + optional slope filter.
Manual override: Bull / Bear / Neutral.
Regime is read without look-ahead (uses previous bar’s regime when closing a window).
What you see
Background shading of the current window
– color family by category (green=bull, red=bear, gray=neutral, orange=chop), shade by strength 1–5.
Optional labels on window change with regime + label text (“Bull • Najsilnejší rast týždňa”).
Forecast panel (bottom-right) listing the next X windows with label & strength.
Results tables (three views):
Heatmap 7×7 (default): weekday × window grid, each cell shows one metric (toggle among Hit-rate / Avg % / t-stat).
Deň (stránkovanie): full stats for a single day (N, Hit-rate, Avg %, t, label).
Split 2× (dlhá): two stacked tables (Mon–Thu, Fri–Sun) to fit small screens.
Alerts (window start)
Optionally fire at the start of every window.
Message includes: weekday + window, expectation label, strength, current regime, recommended action (Long/Short/Wait), Hit-rate %, Avg %, and N.
Create alerts in TV with Condition → Any alert() function call (so the script’s dynamic text is used).
Optional filters (easy to add/adjust): min N, min Hit-rate, only Bull/Bear windows.
Inputs you control
Regime mode, EMA length, higher-TF for trend check, require EMA slope.
CET/CEST timezone (uses “Europe/Bratislava” by default).
Toggles: background, labels, forecast, results view, table text size, heatmap metric.
Alert enable; (we can add min-N / min-HR filters if you want them by default).
How stats are computed (important)
A window’s return is measured strictly inside the window (open of first bar → close of last bar).
The window is credited to the correct weekday even across midnight.
Hit-rate uses only directional windows (Bull/Bear). Neutral/Chop are excluded.
Best practices
Use chart TF that divides an hour (5/15/30/60m) so window boundaries align cleanly.
Read the heatmap primarily by Hit-rate (signal reliability) and cross-check with Avg % (effect size) and t-stat (significance).
Trade at the start of a strong window in the direction of the current regime, exit time-based (end of window) or on PT/SL.
If you want, I can also:
mask/show only cells with N ≥ threshold,
add NYC sub-split toggle off/on,
export stats to CSV,
or add webhooks-friendly compact alert strings.
EMA+MACD动态0轴主图动态MACD，EMA55作为当前周期动态0轴使用。EMA13作为小4倍周期动态0轴。当前周期DIF线穿越0轴标记+MACD金死叉标记。
The main chart dynamic MACD and EMA55 are used as the dynamic 0-axis for the current cycle. EMA13 is used as the dynamic 0- axis for the smaller 4x cycle. The current cycle's DIF line has crossed the 0-axis, marked with a "+" sign indicating a golden cross on the MACD.
DASM CODE BUY/SELL EMASimple, Just Buy/Sell
For scalping, it’s best used during high-volume hours (9:30–11:00 New York time).
Gaussian MACD RSI v2Gaussian Filter MACD Strategy (Zero Cross + RSI Gate)
What it does
This strategy evaluates momentum using a Gaussian-smoothed MACD and requires a MACD zero-line cross to confirm trend initiation. A configurable RSI threshold filters weak signals, aiming to reduce whipsaws around the zero line. Entries occur only when momentum and baseline strength agree; exits are triggered by MACD crossing below its signal to capture the meat of the move while avoiding discretionary overrides.
How it works (concepts, not code)
Gaussian MACD: The fast/slow components are smoothed with a Gaussian-style filter to reduce noise relative to standard EMA MACD.
Zero-line confirmation: Longs require MACD to cross above zero, aligning entries with positive momentum regimes.
RSI gate: A threshold (default 50) further filters entries so that only setups with baseline strength qualify.
Exit logic: Positions close when MACD crosses below its signal line, providing an objective exit without trailing logic.
Sources: The script supports standard and Heikin-Ashi-derived sources for traders who prefer alternate preprocessing.
How to use it
Add the strategy to a clean chart.
Keep default settings for initial testing; then adjust the RSI threshold and symbol/timeframe for your market.
Favor liquid instruments where slippage and fills are reliable.
Forward-test and walk-forward before any live use.
Default Properties (used for this publication)
Initial Capital: $25,000
Order Size: 100% of equity per trade (no leverage).
Commission: 0.02% per side.
Slippage: 2 ticks (or 0.02% on percent-based markets).
Timeframe used for the published chart: 15-minute (example)
Dataset: SPY/QQQ/large-cap equities (2+ years) producing 100+ trades in sample.
Note: This strategy does not use hard stops by default. If you prefer risk caps ≤ 5–10% per trade, add a stop in the Inputs and re-publish; otherwise, this description explains the deviation per House Rules.
Disclosures
Backtest results are estimates; real-world fills, slippage, and availability may differ. No guarantee of performance. Use prudent position sizing and independent verification.
Short-Term Capitulation Oscillator (STCO, Diodato 2019)Description:
This script is a faithful implementation of the Short-Term Capitulation Oscillator (STCO) from Chris Diodato's 2019 CMT paper, "Making The Most Of Panic". It's a tactical breadth and volume oscillator designed to "fish for market bottoms" by identifying short-term investor capitulation.
What It Is
The STCO combines the 10-day moving averages of NYSE up-volume and advancing issues. It measures the ratio of advancing momentum (in both volume and number of issues) relative to the total traded momentum. The result is a raw, un-normalized oscillator that typically ranges from 0 to 200.
How to Interpret
The STCO is a tactical tool for identifying near-term oversold conditions and potential bounces.
Low Readings: Indicate that sellers have likely exhausted themselves in the short term, creating a potential entry point for a bounce. The paper found that readings below 90, 85, and 80 were often followed by strong market performance over the next 5-20 days.
Overbought/Oversold Lines: Use the customizable overbought/oversold lines to define your own capitulation zones and potential entry areas.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data.
Thresholds: You can set the overbought and oversold levels based on the paper's research or your own testing.
Long-Term Capitulation Oscillator (LTCO, Diodato 2019)Description:
This script is a faithful implementation of the Long-Term Capitulation Oscillator (LTCO) from Chris Diodato's award-winning 2019 CMT paper, "Making The Most Of Panic". It is a strategic, market-wide breadth and volume oscillator designed to identify major, long-term market bottoms.
What It Is
The LTCO combines long-term moving averages (34, 55, 89, 144, and 233-day) of NYSE advancing/declining issues and up/down volume. It uses a unique "average of averages" method to create a responsive yet strategic long-term indicator. This script plots the raw, un-normalized value as described in the paper, which typically oscillates in the 700-1100 range.
How to Interpret
The LTCO is a strategic tool for identifying potentially significant market turning points.
Extremely Low Readings: Suggest that a long-term period of selling has reached a point of exhaustion, potentially marking a major bear market low or a generational buying opportunity. The paper backtested various thresholds, with values below 950, 925, and especially 875 showing historically strong forward returns over the next 6-24 months.
Overbought/Oversold Lines: The script includes customizable overbought/oversold lines to help you visually identify these critical zones.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data for the calculation.
Thresholds: You can set the overbought and oversold levels to your preference, based on the paper's findings or your own research.
Sharpshooter 30 – EMA DistanceSharpshooter 30 – EMA Distance Pullback Detector
This indicator is designed for disciplined traders who prefer to wait for deep pullbacks
after a clear trend shift. Following a 7/200 EMA death cross, the script “arms” and waits
for the Fast EMA to move a configurable USD distance below the Slow EMA.
When this distance threshold is reached and confirmed by a closed bar,
the script plots a single BUY signal — signaling a potential rebound entry point.
Recommended timeframe: 5-minute chart (XAU/USD works best)
Key features:
• Adjustable EMA lengths
• Adjustable USD distance threshold
• One-time signal logic to avoid overplotting
Philosophy:
"Always wait" — patience defines precision. The method aims to catch
the first high-probability retracement after trend exhaustion.
日本語説明:
Sharpshooter 30は、トレンド転換後の押し目を狙うトレーダー向けのインジケーターです。
7/200 EMAのデッドクロス後、Fast EMAがSlow EMAより一定金額（例：30ドル）下回った確定足でBUYを1度だけ点灯します。
ルールを守り、焦らず待つことを目的としています。
推奨時間軸：5分足（特にXAU/USDで効果的）
MA期間や乖離幅は調整可能。
Optimum EMAs x3Function Review
Optimum EMAs x3 scores EMA-price reactions via bullish/bearish percentages. Plots test (purple), bull/bear fast/medium/slow EMAs with toggles/individual colors, three adjustable gradient fills, and reaction table for multi-band analysis.
Usage Write-Up
Set fast (5-15), medium (10-20), slow (15-30) ranges per strategy. Test values via Test EMA for peak scores. Input optima to bull/bear fast/medium/slow for reactive three-band envelope (bullish supports, bearish resistances), refining signals in varied trends.
Ekoparaloji Cyrpto StrategyEkoparaloji Crypto Strategy - User Information Document
📊 Strategy Overview
This strategy provides long-term position management in cryptocurrency markets using the averaging down (pyramiding) technique. The basic logic is to controllably grow positions as prices decline and exit when specific profit targets are reached.
🎯 Key Features
✅ Automatic Entry System
Market direction is determined using a proprietary trend identification algorithm
Trades are only opened in uptrends
Initial position opens automatically when specific conditions are met
📈 Pyramiding Mechanism
New positions are automatically added as price decreases
Up to 10 positions can be added maximum
Each addition occurs at predetermined decline levels
Risk management through dynamic position sizing
💰 Profit and Loss Management
Take Profit: All positions close when the specified percentage above average cost is reached
Stop Loss (Optional): Protects a specified percentage of total capital
A certain ratio of available capital is used in each trade
📊 Visual Tracking System
The following information is displayed in real-time on the chart:
✅ Average cost level
✅ Profit target level
✅ Stop loss level (if active)
✅ Next pyramiding level
✅ Liquidation (capital reset) level
✅ Trend indicator
🛡️ Risk Management Features
1. Dynamic Capital Protection
Automatic exit when losses exceed a specified percentage of total capital
Complete loss scenario can be previewed through liquidation level calculation
2. Position Control System
Protection preventing multiple trades on the same bar
Double trigger prevention mechanism
Maximum position limit
3. Time Filter
Optional trading within a date range
Ideal for testing on historical data
📱 Information Panel
Information table always visible in the upper right corner of the strategy:
When Position is Open:
Number of active positions
Average cost
Current price
Total capital status
Capital loss percentage
Profit target
Stop loss level and distance
Next entry level
Liquidation level and distance
When No Position:
Market trend (Uptrend/Downtrend)
Ready to trade?
Reason for waiting
Initial position size
Target profit percentage
⚙️ Adjustable Parameters
Customizable by user:
💵 Capital Amount: Base amount to be used for each position
📊 Profit Target: Profit percentage at which to exit
🛑 Stop Loss: Usage status and maximum loss percentage
📅 Time Filter: Start and end dates for testing
💬 Trade Comments: Custom labels for each trade
📘 Understanding Leverage Effect
1. What is the Leverage Effect?
Although there's no real leverage in the spot market, when Capital Amount is increased, capital usage works like leverage:
Capital Amount 5% (1.0x): 100% capital usage with full pyramiding = All your money in trades
Capital Amount 10% (2.0x): 200% capital usage with full pyramiding = Attempting to open trades worth 2x your capital
Capital Amount 15% (3.0x): 300% capital usage with full pyramiding = Attempting to open trades worth 3x your capital
⚠️ IMPORTANT: If your capital runs out in the spot market, you cannot open new positions, therefore it's recommended to keep Capital Amount at 5% or below!
⚠️ Important Warnings
Pyramiding Risk: If price continues to decline, position grows and risk increases
Capital Requirements: Up to 10 positions can be added, requiring sufficient capital
Trend Dependency: Only works in uptrends
Backtest Results: Past performance is not a guarantee of future results
Real Trading Risks: Slippage, commissions, and market conditions can affect results
🎓 How to Use
Add the strategy to your chart
Adjust parameters according to your risk appetite
Examine past performance by backtesting
Optionally set up alerts to activate notifications
Test with paper trading first
This strategy is for educational purposes. Do your own research and only trade with capital you can afford to lose.
Disclaimer: This strategy is not financial advice. All investment decisions are the user's responsibility.
Happy trading! 📊
Optimum EMAs x2Function Review
Optimum EMAs assesses EMA-price interactions by scoring reaction percentages for bullish/bearish touches. Creates EMA bands (top: most reactive bearish EMA as resistance; bottom: most reactive bullish EMA as support) with customizable test/bull/bear fast/slow EMAs, toggles, adjustable colors/gradients, and reaction table.
Usage Write-Up
Define fast (e.g., 5-15) and slow (e.g., 15-30) EMA ranges based on strategy. Scan with Test EMA for high reaction scores. Set optima in Bull/Bear Fast/Slow inputs to form reactive EMA bands (bullish top support, bearish bottom resistance), enhancing trend signals in bull/bear markets.
ATR% Multiple From MA - Overextensions trackingATR% Multiple From MA - Quantifiable Profit Taking Indicator
This overlay indicator identifies overextended price moves by calculating how many ATR% multiples price is away from a moving average, providing objective profit-taking signals.
Formula:
A = ATR% = (ATR / Price) × 100
B = % Gain from MA = ((Price - MA) / MA) × 100
ATR% Multiple = B / A
Signals:
Yellow circle at 7x: Start scaling out partial profits
Red circle at 10x+: Heavily overextended, aggressive profit taking recommended
Stats table: Real-time ATR% Multiple, % Gain from MA, ATR%, and action status
For very volatile markets I usually go for 10x and 15x extension instead of 7x and 10x.
This method normalizes moves across different volatility environments, eliminating emotional decision-making. Historical examples include PLTR, SOFI, TSLA, NVDA which stalled after exceeding 10x.
Customizable Settings:
ATR Length (default: 14)
MA Length (default: 50)
Profit Zone thresholds (7x, 10x)
Toggle circles and MA display
