Grafik Desenleri
YTD1st个股年初至今的涨幅对比中证2000（可修改）
Comparison of individual stock year-to-date gains against the CSI 2000 (editable)
Small-Cap — Sell Every Spike (Rendon1) Small-Cap — Sell Every Spike v6 — Strict, No Look-Ahead
Educational use only. This is not financial advice or a signal service.
This strategy targets low/ mid-float runners (≤ ~20M) that make parabolic spikes. It shorts qualified spikes and scales out into flushes. Logic is deliberately simple and transparent to avoid curve-fit.
What the strategy does
Detects a parabolic up move using:
Fast ROC over N bars
Big range vs ATR
Volume spike vs SMA
Fresh higher high (no stale spikes)
Enters short at bar close when conditions are met (no same-bar fills).
Manages exits with ATR targets and optional % covers.
Tracks float rotation intraday (manual float input) and blocks trades above a hard limit.
Draws daily spike-high resistance from confirmed daily bars (no repaint / no look-ahead).
Timeframes & market
Designed for 1–5 minute charts.
Intended for US small-caps; turn Premarket on.
Works intraday; avoid illiquid tickers or names with constant halts.
Entry, Exit, Risk (short side)
Entry: parabolic spike (ROC + Range≥ATR×K + Vol≥SMA×K, new HH).
Optional confirmations (OFF by default to “sell every spike”): upper-wick and VWAP cross-down.
Stop: ATR stop above entry (default 1.2× ATR).
Targets: TP1 = 1.0× ATR, TP2 = 2.0× ATR + optional 10/20/30% covers.
Safety: skip trades if RVOL is low or Float Rotation exceeds your limit (default warn 5×, hard 7×).
Inputs (Balanced defaults)
Price band: $2–$10
Float Shares: set per ticker (from Finviz).
RVOL(50) ≥ 1.5×
ROC(5) ≥ 1.0%, Range ≥ 1.6× ATR, Vol ≥ 1.8× SMA
Cooldown: 10 bars; Max trades/day: 6
Optional: Require wick (≥35%) and/or Require VWAP cross-down.
Presets suggestion:
• Balanced (defaults above)
• Safer: wick+VWAP ON, Range≥1.8×, trades/day 3–4
• Micro-float (<5M): ROC 1.4–1.8%, Range≥1.9–2.2×, Vol≥2.2×, RVOL≥2.0, wick 40–50%
No look-ahead / repaint notes
Daily spike-highs use request.security(..., lookahead_off) and shifted → only closed daily bars.
Orders arm next bar after entry; entries execute at bar close.
VWAP/ATR/ROC/Vol/RVOL are computed on the chart timeframe (no HTF peeking).
How to use
Build a watchlist: Float <20M, RelVol >2, Today +20% (Finviz).
Open 1–5m chart, enter Float Shares for the ticker.
Start with Balanced, flip to Safer on halty/SSR names or repeated VWAP reclaims.
Scale out into flushes; respect the stop and rotation guard.
Limitations & risk
Backtests on small-caps can be optimistic due to slippage, spreads, halts, SSR, and limited premarket data. Always use conservative sizing. Low-float stocks can squeeze violently.
Alerts
Parabolic UP (candidate short)
SHORT Armed (conditions met; entry at bar close)
High Volume Candle Zones (Neutral)contact me i can give you want more information. you can spot patterns and key area are marked automatically to chart
High-and-Tight Impulse + Micro ConsolidationThis indicator detects a specific bullish continuation setup on daily charts:
- An impulse move (X% rise within N bars, mostly green candles)
- Immediately followed by a tight consolidation (small ranges, small bodies)
- Closes holding in the top zone of the impulse
On the chart, signals are plotted as orange dots above bars.
Labels show the last detected setup date, and a counter displays total matches in history.
Useful for backtesting "high-and-tight flag" type momentum patterns or any symbol.
Adjust inputs (impulse % threshold, bars, ATR ratios, top zone %) to make it stricter or looser.
Alerts are included when a new setup is detected.
This tool is not financial advice. For educational and research purposes only.
by fiyatherseydir
Supertrend0913This Pine Script (`@version=6`) combines **two Supertrend indicators** and a set of **moving averages (EMA & MA)** into one overlay chart tool for TradingView.
**Key features:**
* **Supertrend \ & \ :**
* Each has independent ATR period, multiplier, and ATR calculation method.
* Plots trend lines (green/red for \ , blue/yellow for \ ).
* Generates **buy/sell signals** when trend direction changes.
* Includes **alert conditions** for buy, sell, and trend reversals.
* **Moving Averages:**
* 6 EMAs (lengths 21, 55, 100, 200, 300, 400).
* 5 SMAs (lengths 11, 23, 25, 39, 200).
* Each plotted in different colors for trend visualization.
👉 In short: it’s a **combined trading tool** that overlays two configurable Supertrend systems with alerts plus multiple EMAs/SMAs to help identify trend direction, signals, and potential entry/exit points.
MOONA130925-2305bThe Martingale strategy in crypto trading involves doubling trade size after each loss, aiming to recover losses with one win and secure a small profit. While potentially effective short-term, it carries high risk, as consecutive losses can rapidly exhaust capital, making it unsustainable without strict risk management.
Use Below Settings for Best Results.
5Min or 15 Min
EMA 20
EMA 45
EMA 200
Keep Enable EMA on Entry- ON
Length 1- 45
Length 2- 200
Set Target 3% (Untick all Except T1)
Set SL 1.5%
Profit booking Indicatorell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish.
Strong sell signal confirmed on 5-minute higher timeframe with same conditions.
Square off half/full signals as defined.
Target lines drawn bold based on previous swing lows and extended as described.
Blue candle color when RSI below 30.
One sell and one full square off per cycle, blocking repeated sells until full square off.
Big Player Buy/Sell SignalHow It Works:
Detects volume spikes over SMA of recent volume.
Signals a buy if there’s a green candle near a recent swing low on high volume (possible big player accumulation).
Signals a sell if there’s a red candle near a swing high on high volume (possible big player distribution).
This is a proxy, not a direct measure of institutional trades, but it often works surprisingly well in liquid markets like Nifty 50 or Bank Nifty.
If you want, I can make an advanced version that combines RSI, EMA, and first occurrence detection for higher accuracy in catching big player moves.
ICT Sweeps + FVG🔹 What is an iFVG?
• FVG → imbalance left by displacement (big move).
• iFVG (Inversion FVG) → when price returns to that gap later and flips it:
• Bullish FVG (support) → broken → becomes resistance = bearish iFVG.
• Bearish FVG (resistance) → broken → becomes support = bullish iFVG.
That’s why ICT often says “FVG becomes inversion when violated”.
⸻
🔹 Why You Don’t See FVG/iFVG Now
• The script you’re using only coded sweeps (BSS/SSL).
• It didn’t include the logic to:
1. Detect displacement candles.
2. Mark the FVG zone.
3. Flip it if price trades through → iFVG.
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Smart MACD FDBEZ / FSBEZ EngineThis Indicator Showing FDBEZ/FSBEZ Aligning with Environmental Condition of EMA 10/20 Crossing and MACD Crossing Zero Line
2 of 3 Confluence StrategyA strategy created for swing and positional trading on stocks and index. Best to use on daily or minimum hourly time frame. It will also work in smaller time frames but there will be some noise.
GC Checklist Signals (All TF, v6 • SR-safe • Clean blocks)GC (COMEX Gold) checklist strategy with a 3:1 reward-to-risk to your training bot. It enforces the following rules:
Heiken Ashi chart logic for color, wicks, and doji detection
100-EMA filter (only buys above / sells below)
Market structure: higher-low above EMA for buys; lower-high below EMA for sells (simple pivot check)
Clean pullback: at least 2 opposite-color candles; clean = no top wicks (buys) / no bottom wicks (sells)
Entry: on high-volume doji (body ≤ ~12% of range and volume ≥ last 1–3 candles), as soon as it closes
Stops: sell = above doji high; buy = below doji low
Day 3 PlayDay 3 Play — Indicator Summary
The Day 3 Play indicator is designed to identify outsized moves on Day 1 with a consolidation on Day 2 and are primed for a breakout on Day 3.
Day-1: A stock makes an outsized move (configurable, default = ±3% from prior close) on above-average relative volume (default = ≥3× 30-day average).
Day-2: The stock consolidates inside the Day-1 range (an inside bar).
Day-3: Price is primed for a breakout beyond the Day-2 high (bullish) or Day-2 low (bearish).
How It Works in the Pine Screener
The script computes Day-1 moves, Day-2 ranges, and checks volume requirements in the daily timeframe.
In the Screener, add a watchlist that includes your custom list of stocks. Then, add the custom Day 3 Play indicator. Select the time frame and the parameters from the indicator.
Screener columns (hidden by default) report whether a setup is found, whether it’s bullish or bearish, and the precise trigger/offset levels.
Alerts and Offsets
Alerts are available for:
Breakout at the Day-2 high/low (the trigger).
Approaching within an offset (configurable, default = 0.25%) from the Day-2 high or low.
This lets you catch moves as they’re forming intraday, even in extended hours, and not just after the breakout occurs.
Customization
Thresholds: Adjust the Day-1 % move (default 3%) and minimum relative volume (default 3×).
Alert Offset: Change the proximity level (default 0.25%) where alerts should fire before the breakout.
Visibility: Toggle chart lines (levels and offsets) and a debug panel separately.
Lookback: Control how many past days are scanned for the most recent valid setup.
On-Chart Levels
Day-2 High/Low: Shown as reference levels.
Bull/Bear Level: The breakout level (Day-2 high or low depending on setup).
Alert Offset Lines: Offset from the breakout level by your chosen % for early alerts.
Key Calculations
Relative Volume (RVOL): Day-1 volume ÷ 30-day average (excluding the day itself).
Inside Bar: Day-2 high ≤ Day-1 high and Day-2 low ≥ Day-1 low.
Breakout Levels:
Bullish = Day-2 High (with offset below).
Bearish = Day-2 Low (with offset above).
[DEM] Pullback Signal (With Backtesting) Pullback Signal (With Backtesting) is a sophisticated fractal-based indicator that identifies potential reversal opportunities by detecting swing highs and lows followed by pullback conditions in the opposite direction. The indicator uses complex fractal logic to identify pivot points where price forms a local high or low over a customizable period (default 3 bars), then generates buy signals when an upward fractal is identified and the current close is below the previous close, or sell signals when a downward fractal occurs and the current close is above the previous close. This approach captures the classic pullback scenario where price retraces after forming a swing point, potentially offering favorable risk-reward entry opportunities. The indicator includes comprehensive backtesting functionality that tracks signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a detailed statistics table to help traders evaluate the historical effectiveness of the pullback strategy across different market conditions.
[DEM] No High/Low Bars No High/Low Bars is a simple yet effective price action indicator that identifies potential reversal points by marking bars where the closing price equals either the session's high or low. The indicator generates buy signals (blue triangles below the bar) when the close equals the high, suggesting strong bullish momentum that pushed price to its peak by session end, and sell signals (red triangles above the bar) when the close equals the low, indicating bearish pressure that drove price to its lowest point. This approach captures moments of decisive directional movement where buyers or sellers maintained control throughout the entire session, effectively filtering out indecisive price action and highlighting bars with clear directional commitment. The simplicity of this method makes it particularly useful for identifying momentum shifts and potential continuation or reversal points based purely on the relationship between closing prices and session extremes.
[DEM] Multi-RSI Signal (With Backtesting) Multi-RSI Signal (With Backtesting) is a technical indicator that generates buy signals based on multiple RSI (Relative Strength Index) timeframes simultaneously reaching oversold conditions. The indicator monitors RSI values across seven different periods (2, 3, 4, 5, 6, 8, 25, 50, and 100) and triggers a buy signal only when all shorter-term RSIs (2-8 periods) drop below specific thresholds (mostly below 10-20) while longer-term RSIs (25, 50, 100) remain within defined ranges, indicating a confluence of oversold conditions across multiple timeframes. The system includes comprehensive backtesting capabilities that track signal accuracy, average returns, and signal frequency over time, displaying these performance metrics in a real-time statistics table. Unlike typical single-RSI approaches, this multi-timeframe methodology aims to filter out false signals by requiring alignment across various RSI periods, though it currently only generates buy signals with no corresponding sell signal logic implemented.
[DEM] Momentum Supertrend Signal (With Backtesting) Momentum Supertrend Signal (With Backtesting) is designed to generate buy and sell signals by combining SuperTrend trend analysis with consecutive price momentum patterns and timing filters to identify high-probability entry points with reduced signal frequency. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when price shows three consecutive closes higher than the previous close while the SuperTrend indicates a bullish trend (direction = -1), with an additional requirement that at least 5 bars have passed since the last buy signal, while sell signals are triggered when price shows three consecutive lower closes during a SuperTrend bearish trend (direction = 1) with the same 5-bar spacing requirement, creating a momentum-confirmation system that filters for sustained directional movement while preventing excessive signal generation through integrated timing controls and backtesting analysis.
[DEM] MLR Signal (With Backtesting) MLR Signal (With Backtesting) is designed to generate buy signals using a machine learning regression model that analyzes multiple technical indicators from a reference symbol (default NDX) to predict market direction and identify optimal entry points. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table while coloring bars green for bullish predictions and red for bearish predictions. The MLR model processes ten input features including RSI, MACD components, moving average relationships, and price momentum changes, applying predetermined coefficients to generate a prediction score that determines market bias, with buy signals triggered only when specific sequential patterns of bullish predictions occur (requiring particular arrangements of consecutive bullish and bearish predictions over recent bars) to filter for higher-confidence entry opportunities while tracking signal accuracy and returns through integrated backtesting.
[DEM] Floating Reversal Signal (With Backtesting) Floating Reversal Signal (With Backtesting) is designed to identify potential reversal opportunities by detecting counter-trend momentum shifts using a combination of SuperTrend analysis, ATR-based candle size filtering, and RSI oversold/overbought conditions. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when price forms a bullish candle during a SuperTrend downtrend, with the previous candle's body size falling within specified ATR multiplier ranges (default 0.5x to 2x) and RSI showing oversold conditions below a configurable threshold, while sell signals are triggered under opposite conditions during uptrends with overbought RSI readings, aiming to capture "floating" reversal setups where price temporarily moves against the prevailing trend before resuming in the original direction.
[DEM] Fair Value Gaps Fair Value Gaps is designed to identify and visualize institutional Fair Value Gaps (FVGs) on the price chart by detecting three-candle patterns where a significant price gap exists between non-adjacent candles, indicating areas where price moved too quickly and left behind unfilled liquidity zones. The indicator identifies bullish FVGs when the current low exceeds the high from two bars ago by more than a configurable ATR multiplier (default 1.1), and bearish FVGs when the low from two bars ago exceeds the current high by the same threshold, ensuring only significant gaps are marked. When detected, the indicator draws semi-transparent boxes around the gap areas with midline references, colors the chart background green for bullish gaps and red for bearish gaps, and maintains these visual markers as potential support/resistance levels where institutional traders may look to fill orders, helping traders identify key price levels where future reversals or continuations might occur.
