three_line_strike_lib"three_line_strike_lib"
This script is a Pine Script v5 library that identifies and visualizes classic candlestick reversal patterns—Three Line Strike and Engulfing Candles—for use in custom indicators or strategies.
Key Features
Candle Color Detection: Determines whether each candle is bullish (+1), bearish (-1), or neutral/doji (0).
Engulfing Logic:
Bearish Engulfing: A green candle followed by a larger red candle.
Bullish Engulfing: A red candle followed by a larger green candle.
The body size comparison ensures that only meaningful engulfing events are flagged.
Three Line Strike (3LS):
Bearish 3LS: Three consecutive bullish candles followed by a bearish engulfing candle.
Bullish 3LS: Three consecutive bearish candles followed by a bullish engulfing candle.
Customizable Plots:
Choose between standard shapes or fun meme icons (🍆 for bullish, 🍑 for bearish) to mark detected patterns on the chart.
Toggle display of Three Line Strike patterns and “Big A$$” (Engulfing) candles independently.
Alert Support: Signals can be tied to TradingView alerts for real-time notifications.
Usage
Import this library into your own Pine Script to access the exported functions:
candleColorIndex(barIndex) – returns candle color index.
isEngulfing(checkBearish) – checks for engulfing patterns.
isBearishEngulfing() / isBullishEngulfing() – shortcut functions.
is3LSBear() / is3LSBull() – detects Three Line Strike signals.
With the provided input toggles and plotting logic, traders can quickly highlight potential reversal or trend continuation points on any timeframe. This tool is especially useful for price action traders and scalpers seeking visual confirmation of these well-known candlestick setups.
Penunjuk dan strategi
Swing Cross NotifierThis indicator identifies swing highs and lows on the chart and draws horizontal lines at these levels.
It is designed to send an alert when the price first crosses a swing level and then closes with a reversal candle within a user-defined number of bars.
**How to Use for Alerts:**
1. Add the indicator to your chart.
2. Create an Alert.
3. In the "Condition" dropdown, select this script's name.
4. Choose "Any alert() function call".
5. Set the trigger to "Once Per Bar Close".
Daily Low Risk Calculator + ATR % CheckStoploss indicator for swing traders, I can't really explain any further
BTC RSI 35 이하 + 음봉 직후 양봉 (중복방지, 일봉 20일선 위)//@version=5
indicator("BTC RSI 35 이하 + 음봉 직후 양봉 (중복방지, 일봉 20일선 위)", overlay=true)
// === 일봉 기준 조건 ===
dailyClose = request.security(syminfo.tickerid, "D", close) // 일봉 종가
dailyMA20 = request.security(syminfo.tickerid, "D", ta.sma(close, 20)) // 일봉 20일선
aboveDailyMA = dailyClose > dailyMA20 // 일봉 종가가 20일선 위일 때만 true
// === RSI 계산 (1시간봉) ===
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
// === 상태 변수 ===
var bool armed = false
var bool locked = false
// RSI 35 이하 → 무장(armed)
if (rsi <= 35)
armed := true
// RSI 40 이상 → 리셋
if (rsi >= 40)
armed := false
locked := false
// === BUY 조건 정의 (1시간봉 + 일봉 조건) ===
bearishPrev = close < open // 직전 봉 음봉
bullishNow = close > open // 현재 봉 양봉
buySignal = armed and not locked and bearishPrev and bullishNow and aboveDailyMA
// BUY 발생 시 잠금
if (buySignal)
locked := true
// === 차트 표시 ===
plotshape(buySignal, title="BUY", location=location.belowbar,
color=color.lime, style=shape.labelup, text="BUY", size=size.tiny)
// === 얼러트 조건 ===
alertcondition(buySignal, title="BUY Alert",
message="RSI 35 이하 + 음봉 직후 양봉 + 일봉 20일선 위 (1시간)")
Real Yields vs Gold vs DXYThis indicator overlays U.S. real yields, gold prices, and the U.S. Dollar Index (DXY) on the same chart, with optional normalization (raw values, Z-Score, or % change since start). It pulls macroeconomic data directly from the Federal Reserve Economic Data (FRED) (TIPS yields, nominal Treasuries, and breakeven inflation) and compares it against market feeds for gold and the dollar.
⸻
📌 What it shows you
1. Real Yields (teal line):
• The inflation-adjusted interest rate.
• Higher real yields typically reduce gold’s appeal (since gold doesn’t yield anything).
• Lower real yields usually support gold, as holding non-yielding assets becomes more attractive.
2. Gold (orange line, with optional MA):
• Spot gold (or futures) price series.
• Often moves inversely to real yields, but can diverge when inflation fears or safe-haven demand dominate.
3. U.S. Dollar Index (DXY) (blue line):
• The strength of the U.S. dollar versus major currencies.
• A strong USD often pressures gold (since it’s priced in dollars).
• Weakness in the USD often supports gold.
4. Reference Lines (0, +3, –3):
• In Z-Score mode, these act as statistical boundaries.
• Movements beyond +3 or –3 standard deviations usually signal extreme, unsustainable conditions.
📌 Why it matters for macro outlook
This indicator lets you see the three most important macro forces on gold in one pane:
• Real yields → reflect Fed policy, inflation expectations, and bond market pricing.
• DXY → reflects capital flows into or out of the USD.
• Gold → reacts to both, serving as a hedge, safe-haven, or inflation play.
By watching how these move together or diverge, you can answer key macro questions:
• Is gold moving inversely to real yields (normal regime)?
• Is gold rising even when real yields rise (inflation stress or risk aversion)?
• Is the dollar breaking the relationship (e.g., strong USD pushing gold lower despite falling yields)?
• Are we at statistical extremes (beyond ±3 Z-score), signaling stretched positioning?
⸻
✅ In short: This indicator is a macro overlay tool. It tells the story of how bond markets (real yields), currency markets (USD), and commodities (gold) interact — and whether gold’s behavior is consistent with macro fundamentals or signaling something unusual.
ema_stoploss_libLibrary "ema_stoploss_lib"
This library derives stop-loss levels from a dynamic list of EMA lengths. It computes each EMA internally (so dynamic lengths are allowed), keeps strict side filtering (long: only EMAs below the source; short: only EMAs above), sorts by distance to the source, and returns the n-th nearest value plus the original index of that EMA length.
get_stop_loss(index)
Initializes (once) a default length list:
21, 50, 100, 200, 250, 500, 750, 1000.
Returns:
sl_buy / sl_sell: selected EMA values
nearest_buy_idx / nearest_sell_idx: 0-based indices in the original lensArr
Parameters & Notes
Index (input in the example; default 2) is 0-based:
0 = nearest, 1 = second nearest, 2 = third, etc.
If there aren’t enough EMAs on the requested side, the value becomes na (plot will skip that bar).
Strict filtering means no fallback to the opposite side.
Performance:
EMA updates are O(n) per bar (n = number of lengths).
Sorting is O(k²) (k = candidates on the chosen side) — negligible for small lists.
ema_stoplossLibrary "ema_stoploss"
What it does
A small library that builds stop-loss levels from dynamically computed EMAs. It finds EMAs strictly on the desired side of price (long: below; short: above), sorts them by distance to price, and returns the n-th nearest as your stop.
How it works
sortEMAsByDistanceStrictDyn(signal, lensArr, src, ascending)
Computes each EMA internally with the alpha formula (alpha = 2/(len+1)), so you can pass a dynamic array of lengths.
Strict side filter:
signal = 1 → only EMAs < src (below)
signal = -1 → only EMAs > src (above)
Sorts candidates by distance to src (default: nearest → farthest) and returns two arrays: EMA values and their lengths.
get_stop_loss(index) (exported)
Builds a default length array: 21, 50, 100, 200, 250, 500, 750, 1000.
Long side uses low to find the index-th nearest lower EMA.
Short side uses high to find the index-th nearest upper EMA.
Returns .
Plots
Stop-Loss Long (green): the selected lower EMA (based on low).
Stop-Loss Short (red): the selected upper EMA (based on high).
Input
Index (default 2): 0-based.
0 = nearest, 1 = second nearest, 2 = third, etc.
If there aren’t enough EMAs on the required side, the function returns na (no plot).
Why internal EMA calc?
ta.ema() doesn’t accept a series length; by updating each EMA with its alpha step every bar, the library supports arbitrary dynamic length arrays and stays bar-consistent.
Customize
Edit the list in get_stop_loss() to use your own EMA lengths.
Change ascending in sortEMAsByDistanceStrictDyn if you prefer farthest → nearest.
Use a different src if needed (e.g., close, hlc3, etc.).
The example intentionally uses low for long stops and high for short stops.
Notes
Strict side filtering: EMAs on the wrong side are ignored (no fallback).
If no EMA qualifies on a side, you’ll get na for that side.
Complexity is O(n²) for sorting, which is negligible for small EMA lists.
Weekly MAA combination of 3 weekly simple moving averages.
These moving averages are also displayed on the daily chart.
Stochastic Arrows Crossover [TED]This indicator plots the classic Stochastic Oscillator with customizable parameters (K, D, Smooth). It highlights bullish and bearish crossovers between %K and %D lines with small, subtle triangle arrows on the momentum panel. The arrows are color-coded with muted green (bullish) and muted red (bearish) for better visibility in dark mode. A middle band at 50 helps identify neutral momentum levels, alongside the standard overbought (80) and oversold (20) zones.
Ted
Dual Best MA Strategy AnalyzerDual Best MA Strategy Analyzer (Lookback Window)
What it does
This indicator scans a range of moving-average lengths and finds the single best MA for long crossovers and the single best MA for short crossunders over a fixed lookback window. It then plots those two “winner” MAs on your chart:
Best Long MA (green): The MA length that would have made the highest total profit using a simple “price crosses above MA → long; exit on cross back below” logic.
Best Short MA (red): The MA length that would have made the highest total profit using “price crosses below MA → short; exit on cross back above.”
You can switch between SMA and EMA, set the min/max length, choose a step size, and define the lookback window used for evaluation.
How it works (brief)
For each candidate MA length between Min MA Length and Max MA Length (stepping by Step Size), the script:
Builds the MA (SMA or EMA).
Simulates a naïve crossover strategy over the last Lookback Window candles:
Long model: enter on crossover, exit on crossunder.
Short model: enter on crossunder, exit on crossover.
Sums simple P&L in price units (no compounding, no fees/slippage).
Picks the best long and best short lengths by total P&L and plots those two MAs.
Note: Long and short are evaluated independently. The script plots MAs only; it doesn’t open positions.
Inputs
Min MA Length / Max MA Length – Bounds for MA search.
Step Size – Spacing between tested lengths (e.g., 10 tests 10, 20, 30…).
Use EMA instead of SMA – Toggle average type.
Lookback Window (candles) – Number of bars used to score each MA. Needs enough history to be meaningful.
What the plots mean
Best Long MA (green): If price crosses above this line (historically), that MA length produced the best long-side results over the lookback.
Best Short MA (red): If price crosses below this line (historically), that MA length produced the best short-side results.
These lines can change over time as new bars enter the lookback window. Think of them as adaptive “what worked best recently” guides, not fixed signals.
Practical tips
Timeframe matters: Run it on the timeframe you trade; the “best” length on 1h won’t match 1m or 1D.
Step size trade-off: Smaller steps = more precision but heavier compute. Larger steps = faster scans, coarser choices.
Use with confirmation: Combine with structure, volume, or volatility filters. This is a single-factor tester.
Normalization: P&L is in raw price units. For cross-symbol comparison, consider using one symbol at a time (or adapt the script to percent P&L).
Limitations & assumptions
No fees, funding, slippage, or position sizing.
Simple “in/out” on the next crossover; no stops/targets/filters.
Results rely on lookback choice and will repaint historically as the “best” length is re-selected with new data (the plot is adaptive, not forward-fixed).
The script tests up to ~101 candidates internally (bounded by your min/max/step).
Good uses
Quickly discover a recently effective MA length for trend following.
Compare SMA vs EMA performance on your market/timeframe.
Build a playbook: note which lengths tend to win in certain regimes (trending vs choppy).
Not included (by design)
Alerts, entries/exits, or a full strategy report. It’s an analyzer/overlay.
If you want alerts, you can add simple conditions like:
ta.crossover(close, plotLongMA) for potential long interest
ta.crossunder(close, plotShortMA) for potential short interest
Changelog / Notes
v1: Initial release. Array-based scanner, SMA/EMA toggle, adaptive long/short best MA plots, user-set lookback.
Disclaimer
This is educational tooling, not financial advice. Test thoroughly and use proper risk management.
Options Straddle Strategy Backtester 140% APR for 2025This script provides the most convenient manual tool for backtesting a straddle stagy in options.
The straddle is when you buy a call and a put option at the same price and the expiration date. You profit when the price movement at expiry (8 am UTC) in either directions surpass the price of the premium paid. The price of opening this straddle on ETH is always 1.6% of the current ETH price including fees.
In my example I use ETH options, I am buying a straddle at 8:30 UTC every day with the next day expiration date. In the script it looks like I am opening a long position on ETH at 8:30 and then close it the next days. We need to use 1 minute chart, chart time set to UTC for exact results and deep back testing function to go back in time.
Once the system generates a trade report - we need to download it and go to the list of trades sections, there we do the following:
1) remove all long entry lines leaving only long exit lines that have all the information we need.
2) We add one column that calculates the cost of premium for every trade: Position size*1.6%=cost of premium with fees.
3)We add a second column copying all Net PNL in USDT changing negative amounts to positive - since it doesn't matter for us which direction the move was towards.
The results are quite impressive: If you were buying straddles during 2025 that is not ended yet you will get 69% return on investment (11K paid in premiums, 19K return, 8K net profit). 2024 and 2025 combined: 53% (29 K, 45 K, and 15 profits).
Moreover, since you have the date of the trade in the table you can filter the results further to figure out if trading on some days is less profitable. Interestingly trades from Sun to Mon given are not profitable at -15% and most profitable days are Mon to Tue - 103%, Friday to Sat - 102 %. So if we remove Sun to Monday trades we will be at 89% for the first 221 days of the year or 140% APR.
Advanced CRSI with Buy/Sell SignalsThis is a custom indicator based on the Connor's RSI (CRSI) concept. It's designed to identify overbought and oversold conditions to generate potential buy and sell signals.
How it works: The indicator is a composite of three components:
RSI of Price: A standard RSI calculation on the closing price.
RSI of Up/Down Streaks: An RSI on consecutive up or down closes, which helps measure momentum.
Percentage Rank of ROC: This component measures the rate of change and is used to identify strong moves.
Features:
Plots the combined CRSI value.
Visualizes buy and sell signals directly on the chart using colored triangles.
Includes adjustable oversold and overbought levels for customization.
Provides alerts for potential trading signals.
Ideal for: Swing traders and day traders looking for an oscillator to confirm entry and exit points.
VB Bots Watchlist 2025 — RangesOf course. Here is a complete Pine Script v6 indicator for TradingView that displays the On-Balance Volume (OBV) for a selectable list of the top 50 Binance coins by market capitalization.
You can copy and paste this code directly into your Pine Editor in TradingView.
Key Features:
Pine Script Version 6: Written in the latest version of Pine Script.
Dropdown Menu: Easily select which of the top 50 coins you want to see the OBV for from the indicator's settings.
Independent Data: The OBV is calculated for the selected coin, regardless of the chart you are currently viewing.
Clear Plot: Displays the OBV in a separate pane for easy analysis.
Black DragonUse the RSI bands; when the price touches the upper band, it tends to go down, and when the price touches the lower band, it tends to go up. Pay attention to enter a trade only when a reversal candle appears; suitable for scalping on the M15 timeframe.
SMA-CrossOver This indicator is dedicated to the "Trader Overseas" channel.
It's a pullback trading strategy that the channel owner shares for free on YouTube.
Filter 1: Use the 200 SMA as an "Uptrend" or "Downtrend" filter.
Filter 2: When all SMAs line up,
to confirm "Uptrend" or "Downtrend."
Short-term MA = SMA14
Medium-term MA = SMA50 (with a buffer channel).
The example image shows an "Uptrend."
When all SMAs line up, there's a "Bull" signal.
(SMA21 crosses above SMA50.)
Strategy: Wait for an "ENTRY" when the price pulls back into the zone.
1. Short Pullback Zone = SMA14 - SMA50
2. Deep Pullback Zone = SMA50 + Buffer Channel
May be used in conjunction with Price Action as an additional filter.
Additional Explanation: "CrossOver" signals
"Bull" or "Bear" Signals indicate an "up" or "down" crossover of SMA21 and SMA50.
"Bull" or "Bear" signal may be used as "Exit" for the position trade.
But beware of false signals if the trend is sideways.
Each of the SMA can adjust value.
Probability Density Function (rus)KZ Indicator (Probability Density Function)
KZ estimates price move probabilities using a normal distribution model. It automatically detects trend direction, volatility level, and strength, then visualizes the likelihood of reaching an upside or downside target.
✅ Auto-adjusts for different timeframes
✅ Plots green (long) and red (short) probability zones
✅ Shows suggested target, stop-loss, and limit order
✅ Ideal for identifying high-probability entry zones
Advanced Version Available
An advanced version of the KZ script is available with:
🎯 Precise entry/exit signals
🕵️ Liquidity zone detection
🔄 Multi-timeframe signal confirmation
🛑 Dynamic stop-loss based on volatility
🔔 Built-in alerts for signal triggers
📩 DM me to get access to the advanced script version.
✅ Автоматически адаптируется под таймфрейм
✅ Показывает зелёную (лонг) и красную (шорт) области вероятности
✅ Отображает рекомендуемые цель, стоп-лосс и лимитный ордер
✅ Отлично подходит для поиска точек входа с высокой вероятностью
Доступна продвинутая версия скрипта KZ, включающая:
🎯 Точные сигналы входа/выхода
🕵️ Обнаружение зон ликвидности
🔄 Подтверждение сигналов с других таймфреймов
🛑 Динамический стоп-лосс на основе волатильности
🔔 Алерты на сигналы
EMA+HHV-ATR Trail By SrinuGreen “BUY: ” below bars.
Red “SELL: ” above bars.
Alerts also include the triggered close price.
Combined Signal EMA + HHV-ATR Trail (Srinu)Green “BUY: ” below bars.
Red “SELL: ” above bars.
Alerts also include the triggered close price.
MACD Split (Top/Bottom)📘 Script Explanation – MACD Split (Top/Bottom)
Purpose
Splits MACD into two separate panels for better visibility:
Top panel → MACD line (orange) & Signal line (black)
Bottom panel → Histogram (colored line) & Histogram EMA (black)
Color Rules for Histogram
Above 0 & Rising → Light Green
Above 0 & Falling → Dark Green
Below 0 & Falling → Dark Red
Below 0 & Rising → Light Red
Histogram EMA → Black
Zero Line
A gray dashed baseline is drawn at 0 for reference.
How to Use
Add the indicator twice.
Set the first one’s Mode = Top.
Set the second one’s Mode = Bottom.
Save as a template → next time, both panels load together.
