Adaptive Log Trend ChannelOne-line Summary / 一句话简介
EN: Adaptive log-scale trend channel using Pearson-optimized regression and deviation bands.
中文：基于皮尔逊优化回归的自适应对数趋势通道，带标准差波动带。
Full Description / 完整介绍
What it does / 功能
EN: This indicator fits a log-linear regression to price and builds a trend channel with ±k·σ deviation bands. It automatically selects the period with the highest Pearson correlation (R), ensuring the channel best matches the dominant market trend.
中文：该指标通过价格的对数线性回归拟合趋势，并在中线上下绘制 ±k·σ 偏差通道。它会自动选择皮尔逊相关系数 (R) 最高的周期，从而保证通道与主要趋势最贴合。
Why it’s useful / 适用价值
EN:
Naturally fits assets with multiplicative growth (crypto, tech stocks).
Adapts dynamically to different market regimes.
Provides CAGR estimates on Daily/Weekly charts for trend strength evaluation.
中文：
自然适用于呈现乘法增长的资产（如加密货币与科技股）。
可动态适应不同的市场阶段。
在日线/周线图上提供 趋势年化收益率 (CAGR)，帮助评估趋势强度。
How it works / 工作原理
EN:
Computes log(price) → regression slope & intercept.
Draws a midline (log regression projection).
Upper & lower bands = ±k·σ in log space.
Info panel shows: Auto-Selected Period, Trend Strength (or Pearson’s R), and CAGR.
中文：
对价格取对数 → 计算回归斜率与截距。
绘制 中线（对数回归投影）。
上下轨 = 对数空间中的 ±k·σ。
信息面板显示：自动选择周期、趋势强度（或皮尔逊 R 值）、以及 CAGR 年化收益率。
Key Settings / 主要参数
EN:
Long-Term Mode: Uses extended periods (300–1200).
Deviation Multiplier (k): Controls channel width (default 2.0).
Styles: Colors, line type, and extension.
Panel Options: Toggle auto-period, Pearson’s R, and CAGR.
中文：
长期模式：采用更长周期 (300–1200)。
偏差倍数 (k)：控制通道宽度（默认 2.0）。
样式：可设置颜色、线型、延长方式。
信息面板：可开关自动周期、皮尔逊 R、CAGR。
Notes / 注意事项
EN:
CAGR is only available on Daily/Weekly timeframes.
Regression-based tools may repaint as new bars form; treat it as context, not signals.
中文：
CAGR 仅在日线与周线周期可用。
回归类指标在新K线形成时可能重绘，仅用于趋势参考而非交易信号。
อินดิเคเตอร์และกลยุทธ์
Gold H4 First Hour Scalping IndicatorUpdated V4
This Indicator shows how much on an average gold moved in first 4 hour. Then The possible direction in the next h4
B-Xtrender @Puppytherapy +vova13I have recreated a trend following indicator published in IFTA Journal by Bharat Jhunjhunwala. It is mainly to be traded on big timeframes.
For anyone looking into the indicators please have in the source below where logic behing the indicator is nicely explained.
The only thing I added is a T3 moving average with momentum shift signals for earlier signals in some cases.
Target Trend+vova13this indicator shows trend plus alerts
The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels.
Mid-Body 50% Candles – Support/Resistance with ConfirmationHow it works:
– Calculates the mid-body (open+close)/2 of the previous candle.
– Bullish candle → potential SUP level.
– Bearish candle → potential RES level.
– Optional next-bar confirmation (close above/below the mid-body).
– Filters available: ATR size, swing detection, upper/lower wick %.
– Lines extend until broken or removed.
– Alerts available for: level creation, touch and break.
Use cases:
– Confirm candle rejections (pin bars).
– Filter false breakouts.
– Refine entries/exits for scalping or swing trading.
What makes it unique:
Unlike generic Fibonacci or candle tools, this script focuses exclusively on the 50% body level with confirmations and multiple filters, making it more precise for price action decision points.
AKTProfessional Style
“This tool helps in marking lines for options and forex, making trading easier and more effective for you.”
“We apply it to mark key lines in options and forex markets, and it provides great value for traders like you.”
“Used for marking support and resistance lines in options and forex, it’s a highly useful tool for your trades.”
🔹 Simple & Direct Style
“We use it to mark lines in options and forex — very useful for you.”
“It helps mark lines for options and forex, making it useful in your trading.”
“A handy way to mark lines in options and forex, and it’s very useful for you.”
Volume Bubbles 📊 Volume Bubbles Pro — Visualize Candle Volumes as Elegant Bubbles
Tired of squinting at volume bars below your chart?
Introducing Volume Bubbles Pro — a sleek, intuitive indicator that displays each candle’s trading volume as transparent colored bubbles directly on your price chart. No more switching tabs — critical volume data is now right where you need it!
✨ Key Features:
🔹 Smart Volume Classification:
Each bubble’s size reflects the strength of volume:
→ Tiny — Below average
→ Normal — Above average
→ Large — Exceptionally high (fully customizable)
🔹 Flexible Bubble Placement:
Choose to display bubbles under, over, or centered on candles — tailor it to your workflow.
🔹 Two Color Schemes:
→ Single Color — Minimalist, clean look for distraction-free charts
→ Volume-Based Gradient — Tiny = Blue, Normal = Orange, Large = Red
🔹 Optional Info Panel:
Displays real-time thresholds for “medium” and “large” volume levels directly on your chart.
🔹 Interactive Tooltips:
Hover over any bubble to see exact volume value, average volume, and volume-to-average ratio.
🔹 Built-in Alerts:
Get notified instantly when a candle registers abnormally high volume — perfect for catching breakouts or reversals.
⚙️ Fully Customizable Settings:
Average Volume Period — baseline for comparison (default: 50)
Medium Volume Multiplier — threshold to classify volume as “medium”
Large Volume Multiplier — threshold to classify volume as “strong”
Transparency — adjust opacity so bubbles enhance, not clutter
Bubble Position — under, over, or centered on candles
Color Scheme — match your chart style or strategy needs
💡 How to Use It?
Spot Key Moments: Large red bubbles often signal breakout starts, reversals, or liquidity tests.
Confirm Signals: Strong volume under a candle validates signals from other indicators.
Filter Noise: Ignore tiny bubbles — low activity means low conviction.
Scan History: Instantly identify past high-volume events across any timeframe or asset.
✅ Why Traders Love It:
✔️ Clean, uncluttered visuals — only what matters
✔️ Works on all assets & timeframes — stocks, crypto, forex, futures
✔️ Fully customizable — make it yours
✔️ Perfect for scalpers, day traders, and swing traders alike
📌 Created by:
“Volume is money voting. Let it speak to you through bubbles.”
📌 Add this tool to your arsenal — and never miss a significant volume pulse again!
💡 Pro Tip: Enable alerts to get notified about unusual volume spikes — even when you’re away from your charts.
AWSA "Level Indicator with ATR" isn't a single, defined indicator but typically refers to a trading strategy or indicator that uses the Average True Range (ATR) to create dynamic levels on a price chart, such as support, resistance, or stop-loss levels. The ATR is a volatility indicator that measures market volatility; when high, it suggests the market has large price swings, and when low, small price swings. By using the ATR value with a multiplier, traders can set price levels that adapt to changing market volatility, providing more objective and dynamic trading signals than fixed-price levels.
Period Separator + Future LinesDescription
This indicator draws vertical separator lines for each selected timeframe (e.g., daily or hourly) and also projects additional separator lines into the future.
It helps traders visually divide the chart into consistent time periods and see upcoming period boundaries in advance.
Features
- Draws vertical lines at the start of each chosen period (daily by default).
- Extends several separator lines into the future so you can anticipate upcoming sessions.
- Fully customizable: color, style (solid/dashed/dotted), line width, and timeframe can be adjusted from the settings.
- Lines are plotted without distorting auto-scaling, so the chart view remains clean.
Use Case
Ideal for intraday and swing traders who want clear visual time markers and the ability to prepare for upcoming trading sessions.
Deviation Rate Crash SignalDescription
This indicator provides entry signals for contrarian trades that aim to capture rebounds after sharp declines, such as during market crashes.
A signal is triggered when the deviation rate from the 25-day moving average falls below -25% (default setting). On the chart, a red circle is displayed below the candlestick to indicate the signal.
Backtest (2000–2024, Nikkei 225 stocks):
Win rate: 64.73%
Payoff ratio: 1.141
Probability of ruin: 0.0% (with proper risk control)
Trading Rules (Long only):
Entry: Market buy at next day’s open when the closing price is 25% or more below the 25-day MA.
Exit: Market sell at next day’s open when:
The closing price is 10% above the entry price (take profit), or
The closing price is 10% below the entry price (stop loss), or
40 days have passed since entry.
Notes:
This indicator is tuned for crisis periods (e.g., 2008 Lehman Shock, 2011 Great East Japan Earthquake, 2020 COVID-19 crash, 2024 Yen carry trade reversal).
In normal market conditions, signals will be rare.
Pine Screener BETA Support:
Add this indicator to your favorites and scan with long condition = true.
Screener results display both the MA deviation rate and current price.
When multiple signals occur, use the deviation rate as a reference to prioritize setups.
説明
このインジケーターは、暴落時など短期間で急落した銘柄のリバウンドを狙う逆張りトレードのエントリーシグナルを提供します。
25日移動平均線からの乖離率が -25% を下回ったときにシグナルが点灯します（初期設定）。シグナルはメインチャートのローソク足の下に赤い丸印で表示されます。
バックテスト結果（2000～2024年、日経225銘柄）:
勝率: 64.73%
ペイオフレシオ: 1.141
破産確率: 0.0%（適切なリスク管理を行った場合）
トレードルール（買いのみ）:
エントリー: 終値が25日移動平均線から25%以上下方乖離した場合、翌日の寄り付きで成行買い。
手仕舞い: 翌日の寄り付きで成行売り（以下のいずれかの条件を満たした場合）
終値が買値より10%以上上昇（利確）
終値が買値より10%以上下落（損切り）
エントリーから40日経過
注意点:
このインジケーターは、2008年リーマンショック、2011年東日本大震災、2020年コロナショック、2024年円キャリートレード巻き戻しショックなど、危機的局面で効果を発揮するように調整されています。
通常の相場ではシグナルはほとんど出現しません。
Pine Screener BETA 対応:
このインジケーターをお気に入り登録し、long condition = true をフィルター条件にしてスキャンしてください。
スクリーナー結果には移動平均乖離率と現在値が表示されます。
シグナルが同時に多数出現した場合は、移動平均乖離率を参考に優先順位をつけてください。
Price Between Tenkan & KijunThis is to find stocks that either breaking up or down from a large screener list
Price Between Tenkan & KijunThis is developed to find stocks on a weekly basis that are potentially breaking out or breaking down
TOTALES_LIBRARY_MAINLibrary "TOTALES_LIBRARY_MAIN"
sigmoid_strategy(source_sigmoid, lookback, volatility_period, base_steepness, base_midpoint, z_period, ma_type, ma_lookback, upper_threshold, lower_threshold)
Parameters:
source_sigmoid (float)
lookback (simple int)
volatility_period (simple int)
base_steepness (simple float)
base_midpoint (simple float)
z_period (simple int)
ma_type (simple string)
ma_lookback (simple int)
upper_threshold (simple float)
lower_threshold (simple float)
fdi_supertrend_strategy(src, per, speed, fdi_mult_upper, fdi_mult_lower, adapt)
Parameters:
src (float)
per (simple int)
speed (simple int)
fdi_mult_upper (simple float)
fdi_mult_lower (simple float)
adapt (simple bool)
volume_trend_strategy(volume_trend_x, volume_trend_y)
Parameters:
volume_trend_x (simple int)
volume_trend_y (simple int)
rti_strategy(rtiTrendDataCount, rtiTrendSensitivityPercentage, rtiSignalLength, upper_threshold_rti, lower_threshold_rti, useSignalLength_rti)
Parameters:
rtiTrendDataCount (simple int)
rtiTrendSensitivityPercentage (simple int)
rtiSignalLength (simple int)
upper_threshold_rti (simple float)
lower_threshold_rti (simple float)
useSignalLength_rti (simple bool)
zscore_heikin_strategy(len_zscore, upper_threshold_zscore, lower_threshold_zscore)
Parameters:
len_zscore (simple int)
upper_threshold_zscore (simple float)
lower_threshold_zscore (simple float)
emd_strategy(input_src_emd, avg_type_emd, length_emd, mult_upper_emd, mult_lower_emd)
Parameters:
input_src_emd (simple string)
avg_type_emd (simple string)
length_emd (simple int)
mult_upper_emd (simple float)
mult_lower_emd (simple float)
bbpct_strategy(length_bbpct, src_bbpct, mult_bbpct, upper_threshold_bbpct, lower_threshold_bbpct)
Parameters:
length_bbpct (simple int)
src_bbpct (float)
mult_bbpct (simple float)
upper_threshold_bbpct (simple float)
lower_threshold_bbpct (simple float)
dega_rma_strategy(src_dema, len_dema, len_FG, sigma_FG, len_rma, len_ATR, mult_ATRup, mult_ATRdn)
Parameters:
src_dema (float)
len_dema (simple int)
len_FG (simple int)
sigma_FG (simple float)
len_rma (simple int)
len_ATR (simple int)
mult_ATRup (simple float)
mult_ATRdn (simple float)
dssd_strategy(DemaLen_dssd, DemaSrc_dssd, PerLen_dssd, pertype_dssd, SDlen_dssd, EmaLen_dssd, IncluedeEma_dssd)
Parameters:
DemaLen_dssd (simple int)
DemaSrc_dssd (float)
PerLen_dssd (simple int)
pertype_dssd (simple string)
SDlen_dssd (simple int)
EmaLen_dssd (simple int)
IncluedeEma_dssd (simple bool)
impulsive_momentum_strategy(Lu_imp, Su_imp, yes_imp, lenEMA, mult, atr_length, lenEMA2, atr_momentum_length, mult2, lenMED, mult3, rsi_length, sma_rsi_length)
Parameters:
Lu_imp (simple float)
Su_imp (simple float)
yes_imp (simple bool)
lenEMA (simple int)
mult (simple float)
atr_length (simple int)
lenEMA2 (simple int)
atr_momentum_length (simple int)
mult2 (simple float)
lenMED (simple int)
mult3 (simple float)
rsi_length (simple int)
sma_rsi_length (simple int)
get_sigmoid_score(source_sigmoid, lookback, volatility_period, base_steepness, base_midpoint, z_period, ma_type, ma_lookback, upper_threshold, lower_threshold)
Parameters:
source_sigmoid (float)
lookback (simple int)
volatility_period (simple int)
base_steepness (simple float)
base_midpoint (simple float)
z_period (simple int)
ma_type (simple string)
ma_lookback (simple int)
upper_threshold (simple float)
lower_threshold (simple float)
get_fdi_supertrend_score(src, per, speed, fdi_mult_upper, fdi_mult_lower, adapt)
Parameters:
src (float)
per (simple int)
speed (simple int)
fdi_mult_upper (simple float)
fdi_mult_lower (simple float)
adapt (simple bool)
get_volume_trend_score(volume_trend_x, volume_trend_y)
Parameters:
volume_trend_x (simple int)
volume_trend_y (simple int)
get_rti_score(rtiTrendDataCount, rtiTrendSensitivityPercentage, rtiSignalLength, upper_threshold_rti, lower_threshold_rti, useSignalLength_rti)
Parameters:
rtiTrendDataCount (simple int)
rtiTrendSensitivityPercentage (simple int)
rtiSignalLength (simple int)
upper_threshold_rti (simple float)
lower_threshold_rti (simple float)
useSignalLength_rti (simple bool)
get_zscore_heikin_score(len_zscore, upper_threshold_zscore, lower_threshold_zscore)
Parameters:
len_zscore (simple int)
upper_threshold_zscore (simple float)
lower_threshold_zscore (simple float)
get_emd_score(input_src_emd, avg_type_emd, length_emd, mult_upper_emd, mult_lower_emd)
Parameters:
input_src_emd (simple string)
avg_type_emd (simple string)
length_emd (simple int)
mult_upper_emd (simple float)
mult_lower_emd (simple float)
get_bbpct_score(length_bbpct, src_bbpct, mult_bbpct, upper_threshold_bbpct, lower_threshold_bbpct)
Parameters:
length_bbpct (simple int)
src_bbpct (float)
mult_bbpct (simple float)
upper_threshold_bbpct (simple float)
lower_threshold_bbpct (simple float)
get_dega_rma_score(src_dema, len_dema, len_FG, sigma_FG, len_rma, len_ATR, mult_ATRup, mult_ATRdn)
Parameters:
src_dema (float)
len_dema (simple int)
len_FG (simple int)
sigma_FG (simple float)
len_rma (simple int)
len_ATR (simple int)
mult_ATRup (simple float)
mult_ATRdn (simple float)
get_dssd_score(DemaLen_dssd, DemaSrc_dssd, PerLen_dssd, pertype_dssd, SDlen_dssd, EmaLen_dssd, IncluedeEma_dssd)
Parameters:
DemaLen_dssd (simple int)
DemaSrc_dssd (float)
PerLen_dssd (simple int)
pertype_dssd (simple string)
SDlen_dssd (simple int)
EmaLen_dssd (simple int)
IncluedeEma_dssd (simple bool)
get_impulsive_momentum_score(Lu_imp, Su_imp, yes_imp, lenEMA, mult, atr_length, lenEMA2, atr_momentum_length, mult2, lenMED, mult3, rsi_length, sma_rsi_length)
Parameters:
Lu_imp (simple float)
Su_imp (simple float)
yes_imp (simple bool)
lenEMA (simple int)
mult (simple float)
atr_length (simple int)
lenEMA2 (simple int)
atr_momentum_length (simple int)
mult2 (simple float)
lenMED (simple int)
mult3 (simple float)
rsi_length (simple int)
sma_rsi_length (simple int)
get_tpi_score(use_sigmoid, use_fdi_supertrend, use_volume_trend, use_rti, use_zscore_heikin, use_emd, use_bbpct, use_dega_rma, use_dssd, use_impulsive_momentum, source_sigmoid, lookback, volatility_period, base_steepness, base_midpoint, z_period, ma_type, ma_lookback, upper_threshold, lower_threshold, src, per, speed, fdi_mult_upper, fdi_mult_lower, adapt, volume_trend_x, volume_trend_y, rtiTrendDataCount, rtiTrendSensitivityPercentage, rtiSignalLength, upper_threshold_rti, lower_threshold_rti, useSignalLength_rti, len_zscore, upper_threshold_zscore, lower_threshold_zscore, input_src_emd, avg_type_emd, length_emd, mult_upper_emd, mult_lower_emd, length_bbpct, src_bbpct, mult_bbpct, upper_threshold_bbpct, lower_threshold_bbpct, src_dema, len_dema, len_FG, sigma_FG, len_rma, len_ATR, mult_ATRup, mult_ATRdn, DemaLen_dssd, DemaSrc_dssd, PerLen_dssd, pertype_dssd, SDlen_dssd, EmaLen_dssd, IncluedeEma_dssd, Lu_imp, Su_imp, yes_imp, lenEMA, mult, atr_length, lenEMA2, atr_momentum_length, mult2, lenMED, mult3, rsi_length, sma_rsi_length)
Parameters:
use_sigmoid (simple bool)
use_fdi_supertrend (simple bool)
use_volume_trend (simple bool)
use_rti (simple bool)
use_zscore_heikin (simple bool)
use_emd (simple bool)
use_bbpct (simple bool)
use_dega_rma (simple bool)
use_dssd (simple bool)
use_impulsive_momentum (simple bool)
source_sigmoid (float)
lookback (simple int)
volatility_period (simple int)
base_steepness (simple float)
base_midpoint (simple float)
z_period (simple int)
ma_type (simple string)
ma_lookback (simple int)
upper_threshold (simple float)
lower_threshold (simple float)
src (float)
per (simple int)
speed (simple int)
fdi_mult_upper (simple float)
fdi_mult_lower (simple float)
adapt (simple bool)
volume_trend_x (simple int)
volume_trend_y (simple int)
rtiTrendDataCount (simple int)
rtiTrendSensitivityPercentage (simple int)
rtiSignalLength (simple int)
upper_threshold_rti (simple float)
lower_threshold_rti (simple float)
useSignalLength_rti (simple bool)
len_zscore (simple int)
upper_threshold_zscore (simple float)
lower_threshold_zscore (simple float)
input_src_emd (simple string)
avg_type_emd (simple string)
length_emd (simple int)
mult_upper_emd (simple float)
mult_lower_emd (simple float)
length_bbpct (simple int)
src_bbpct (float)
mult_bbpct (simple float)
upper_threshold_bbpct (simple float)
lower_threshold_bbpct (simple float)
src_dema (float)
len_dema (simple int)
len_FG (simple int)
sigma_FG (simple float)
len_rma (simple int)
len_ATR (simple int)
mult_ATRup (simple float)
mult_ATRdn (simple float)
DemaLen_dssd (simple int)
DemaSrc_dssd (float)
PerLen_dssd (simple int)
pertype_dssd (simple string)
SDlen_dssd (simple int)
EmaLen_dssd (simple int)
IncluedeEma_dssd (simple bool)
Lu_imp (simple float)
Su_imp (simple float)
yes_imp (simple bool)
lenEMA (simple int)
mult (simple float)
atr_length (simple int)
lenEMA2 (simple int)
atr_momentum_length (simple int)
mult2 (simple float)
lenMED (simple int)
mult3 (simple float)
rsi_length (simple int)
sma_rsi_length (simple int)
get_all_strategy_scores(source_sigmoid, lookback, volatility_period, base_steepness, base_midpoint, z_period, ma_type, ma_lookback, upper_threshold, lower_threshold, src, per, speed, fdi_mult_upper, fdi_mult_lower, adapt, volume_trend_x, volume_trend_y, rtiTrendDataCount, rtiTrendSensitivityPercentage, rtiSignalLength, upper_threshold_rti, lower_threshold_rti, useSignalLength_rti, len_zscore, upper_threshold_zscore, lower_threshold_zscore, input_src_emd, avg_type_emd, length_emd, mult_upper_emd, mult_lower_emd, length_bbpct, src_bbpct, mult_bbpct, upper_threshold_bbpct, lower_threshold_bbpct, src_dema, len_dema, len_FG, sigma_FG, len_rma, len_ATR, mult_ATRup, mult_ATRdn, DemaLen_dssd, DemaSrc_dssd, PerLen_dssd, pertype_dssd, SDlen_dssd, EmaLen_dssd, IncluedeEma_dssd, Lu_imp, Su_imp, yes_imp, lenEMA, mult, atr_length, lenEMA2, atr_momentum_length, mult2, lenMED, mult3, rsi_length, sma_rsi_length)
Parameters:
source_sigmoid (float)
lookback (simple int)
volatility_period (simple int)
base_steepness (simple float)
base_midpoint (simple float)
z_period (simple int)
ma_type (simple string)
ma_lookback (simple int)
upper_threshold (simple float)
lower_threshold (simple float)
src (float)
per (simple int)
speed (simple int)
fdi_mult_upper (simple float)
fdi_mult_lower (simple float)
adapt (simple bool)
volume_trend_x (simple int)
volume_trend_y (simple int)
rtiTrendDataCount (simple int)
rtiTrendSensitivityPercentage (simple int)
rtiSignalLength (simple int)
upper_threshold_rti (simple float)
lower_threshold_rti (simple float)
useSignalLength_rti (simple bool)
len_zscore (simple int)
upper_threshold_zscore (simple float)
lower_threshold_zscore (simple float)
input_src_emd (simple string)
avg_type_emd (simple string)
length_emd (simple int)
mult_upper_emd (simple float)
mult_lower_emd (simple float)
length_bbpct (simple int)
src_bbpct (float)
mult_bbpct (simple float)
upper_threshold_bbpct (simple float)
lower_threshold_bbpct (simple float)
src_dema (float)
len_dema (simple int)
len_FG (simple int)
sigma_FG (simple float)
len_rma (simple int)
len_ATR (simple int)
mult_ATRup (simple float)
mult_ATRdn (simple float)
DemaLen_dssd (simple int)
DemaSrc_dssd (float)
PerLen_dssd (simple int)
pertype_dssd (simple string)
SDlen_dssd (simple int)
EmaLen_dssd (simple int)
IncluedeEma_dssd (simple bool)
Lu_imp (simple float)
Su_imp (simple float)
yes_imp (simple bool)
lenEMA (simple int)
mult (simple float)
atr_length (simple int)
lenEMA2 (simple int)
atr_momentum_length (simple int)
mult2 (simple float)
lenMED (simple int)
mult3 (simple float)
rsi_length (simple int)
sma_rsi_length (simple int)
get_tpi_color(tpi_score)
Parameters:
tpi_score (float)
get_strategy_color(score)
Parameters:
score (float)
format_strategy_score(is_enabled, score)
Parameters:
is_enabled (bool)
score (float)
Aggregated OI (Binance + Bybit + OKX)RU
Агрегатор Open Interest для крипты по трём биржам: Binance, Bybit, OKX/OKEX.
Показывает OI-свечи или дельту OI, есть мини-легенда (Open Interest, Rekt Longs/Shorts, Aggressive Longs/Shorts). Можно переключать биржи и единицы отображения (USD / COIN).
Данные зависят от доступности OI-тикеров в TradingView (…USDT.P_OI). Если по паре нет фида на бирже — она игнорируется. Основано на скрипте LeviathanCapital (MPL-2.0), модификация — SaneQ. Не является финсоветом.
EN
Aggregated Open Interest for crypto across Binance, Bybit, OKX/OKEX.
Plots OI candles or OI delta, plus a compact legend (Open Interest, Rekt Longs/Shorts, Aggressive Longs/Shorts). You can toggle exchanges and display units (USD / COIN).
Data depends on TV OI feeds (…USDT.P_OI). If a pair lacks a feed on an exchange, that source is skipped. Based on LeviathanCapital’s script (MPL-2.0), modified by SaneQ. Not financial advice.
Grand Slam Risk ManagementGrand Slam Risk Management (GSRM) Indicator
OVERVIEW
The Grand Slam Risk Management Indicator transforms complex position sizing calculations into real-time, visual risk metrics—enabling disciplined trading decisions without the emotional guesswork that destroys accounts. This comprehensive tool is designed for active day traders and swing traders who want to automate critical risk management calculations directly on their TradingView charts. 🚀
THE GRAND SLAM RISK MANAGEMENT STRATEGY
Core Philosophy
The Grand Slam Risk Management Strategy (GSRM) gets its name from baseball's ultimate scoring play: a grand slam can only be hit when three runners are already on base, requiring at least three prior successful at-bats (hits or walks) to create the opportunity. This perfectly embodies the GSRM philosophy—consistent "base hits" in trading create the foundation for larger wins while protecting your account from devastating losses. Just as baseball teams win championships through disciplined, consistent play rather than swinging for the fences every at-bat, successful traders build wealth through reliable, repeatable profits rather than chasing home runs that often result in strikeouts. ⚾
Strategy Framework
Capital Allocation : 💰
• Working Balance: Account balance minus PDT requirement ($25,000 minimum for margin accounts)
• Allocated Buying Power: Working balance × leverage (4:1 for day trading, 2:1 for swing, 1:1 for cash)
• Daily Profit Target: 5% of allocated buying power (default)
The Base Hit System : 🎯
• Daily profit target divided into 4 "base hits"
• Each base hit represents 25% of daily goal
• Max risk per trade: 50% of base hit target (maintains 2:1 reward/risk minimum)
• Daily max loss: 2 base hits (recoverable with 2 winning trades)
Three-Tier Profit Structure : 🚀
• Tier 1 (5%): Minimum acceptable profit - "Why else take the trade?"
• Tier 2 (10%): Solid win - the target "base hit"
• Tier 3 (20%): Home run - when momentum is strongly in your favor 🏠🏃
Position Sizing Levels : 📊
• Quarter Position (25% of max): Testing the waters, lower conviction setups
• Half Position (50% of max): Standard confidence trades
• Max Position (100%): High conviction, ideal setup conditions
INDICATOR FEATURES
Real-Time Calculations ⚡
• Dynamic Position Sizing: Automatically calculates share quantities based on account balance and current price
• Profit & Loss Targets: Displays dollar amounts for profit targets and stop-losses across all position sizes
• Risk Metrics: Shows daily profit goals, max loss thresholds, and P&L ratios
Advanced Stop-Loss Methods 🛡️
1. Percentage-Based Stops : Fixed 50% of profit target (maintains 2:1 reward/risk)
2. ATR-Based Stops : Dynamic stops that adapt to market volatility using Average True Range (ATR)
• Tier 1: 0.5× ATR (tight/scalping)
• Tier 2: 1.0× ATR (standard)
• Tier 3: 1.5× ATR (wide/trending)
Cost Basis Options 📈
• Last Close: Uses previous bar's closing price for stable calculations
• VWMA: Volume-Weighted Moving Average (default: 9) estimate cost-basis from recent volume-weighted price action
• SMA/EMA: Use Simple or Exponential Moving Average (default: 9) useful for planning entries at SMA/EMA cross-overs and bounces.
• VWAP: Volume-Weighted Average Price (default: daily) for entry point planning at bounce or break of VWAP.
* Ask/Bid: Entry point calculations based on current Ask or Bid price (only available on 1T charts)
Visual Risk Management 🔑
• Color-Coded P&L Ratio :
- Green (≤0.5): Conservative, favorable risk ✅
- Yellow (0.5-1.0): Balanced risk ⚠️
- Red (>1.0): Aggressive, requires higher win rate 🛑
• Position Size Color Coding : Green (quarter) → Yellow (half) → Red (max) for quick risk assessment
HOW TO USE THE GSRM INDICATOR
Initial Setup (One-Time Configuration) ⚙️
1. Set Account Balance: Enter your total trading account value
2. Configure PDT Protection: Enable for margin accounts ≥$25,000 to protect required funds
3. Select Leverage: 4:1 (day trading), 2:1 (swing), or 1:1 (cash account)
4. Adjust Risk Percentage: Default 5% of allocated buying power; reduce for conservative approach
Trading Workflow
Pre-Market Preparation: 🌅
1. Review daily profit target and max loss displayed in green/red
2. Note your base hit target - this is your standard trade goal
3. Check P&L ratio - ensure it's sustainable for your win rate
Trade Execution: 🚀
1. Assess Setup Quality :
• Strong setup → Consider half or max position 💪
• Decent setup → Quarter or half position 👍
• Testing idea → Quarter position only 🧪
2. Select Profit Tier Based on Market Conditions :
• Choppy market → Target Tier 1 (5%) 🌊
• Normal conditions → Target Tier 2 (10%) ➡️
• Strong momentum → Target Tier 3 (20%) 🚀
3. Choose Stop Method :
• Percentage stops: Best for stocks with clear support/resistance
• ATR stops: Better for volatile stocks or news-driven trades. WARNING: this may result in tighter stops, negatively affecting your P&L. To offset this effect, try increasing the number of base hits to achieve your daily profit target and recover from a daily max loss. Be sure the resultant P&L ratio is in the conservative range ≤0.5. This will allow you to adjust your per-trade P&L targets without reducing your daily profit target or increasing your max risk.
4. Execute Using Table Values :
• 🔎 Find your position size group (🟢quarter/🟡half/🔴max)
• 🔎 Find your profit target row (5%/10%/20%) for your position size group
• ⚠️ Do not exceed the share count and stop-loss values displayed ⚠️
Risk Management Rules 🛡️
Daily Limits : 🚨
• Stop trading after hitting daily max loss (prevent tilt/revenge trading)
• Stop trading when a low-risk, minimum-loss trade would exceed your daily max loss (prevent exceeding max)
• Stop trading if you fall below the Daily Profit Target after having achieved it (prevent tilt/revenge trading)
• Cold Market: Stop trading after reaching daily profit target (preserve gains) ❄️
• Hot Market: Three Strikes - stop trading after 3 total max loss trades in a day (prevent tilt/revenge trading) 🔥
Position Management : 📏
• Never exceed max position size shown (protects from overleverage)
• Use quarter positions when daily P&L is negative or below first profit goal (40% of target)
• Use half positions only while daily P&L is above first profit goal (40% of target)
• Use full positions only while daily P&L is above profit goal (100% of target)
A/B Testing Features 🧪
Stop-Loss Methods :
• Week 1: Use percentage-based stops
• Week 2: Use ATR-based stops
• Compare win rates and average losses to optimize
Cost Basis Models :
Pick the highest probable cost-basis and keep your entry position below the share count shown to protect from overleveraging your buying power.
⚠️ IMPORTANT: COST BASIS ESTIMATIONS ARE FOR RISK MANAGEMENT CALCULATIONS ONLY - DO NOT USE THIS INFORMATION TO EXECUTE BUY OR SELL ORDERS.
• Fast movers: Use Last Close for stability 🏃or Bid/Ask for real-time price updates (Bid/Ask is only available on 1T charts).
• Liquid stocks: Try VWMA for better entry estimation 💧
• Reversals/Break of VWAP: Use VWAP when anticipating an entry at the Volume-Weighted Average Price 🔄
• Reversals/Break SMA 200: Use SMA when anticipating an entry at the SMA 📉
• Momentum/Trending: Use EMA when anticipating an entry at the EMA bounce 📈
• Price Offset: Plus/Minus $1.00 in $0.10 increments to compensate for slippage, market orders, etc.
Track which method provides better fill estimates. There is no right or wrong choice here because it depends on your style of trading. You can also use the Price Offset option if you find it helps with consistency.
BEST PRACTICES ⭐
1. Start Conservative : Use quarter positions and default settings until familiar with the system 🐣
2. Track Results : Document whether you hit Tier 1, 2, or 3 targets 📝
3. Respect the Math : The calculations assume a 50%+ win rate - if yours is lower, reduce position sizes 🧮
4. Daily Review : Compare actual P&L to base hit targets to calibrate expectations 🔍
5. Adapt to Conditions : Use ATR stops in volatile markets, percentage stops in stable conditions 🌡️
GLOSSARY 📚
• ATR (Average True Range) : A volatility indicator measuring the average range of price movement
• PDT (Pattern Day Trader) : SEC rule requiring $25,000 minimum for accounts making 4+ day trades in 5 business days
• VWAP (Volume-Weighted Average Price) : Average price weighted by volume for the trading session
• VWMA (Volume-Weighted Moving Average) : Moving average that gives more weight to periods with higher volume
• SMA (Simple Moving Average) : Unweighted moving average where each data point is of equal importance
• EMA (Exponential Moving Average) : Moving average that emphasizes the most recent data and information from the market
• P&L : Profit & Loss
IMPORTANT DISCLAIMERS ⚠️
• This indicator and any information provided is for educational and informational purposes only and should not be construed as investment advice, financial advice, trading advice, or any other type of advice. You should not make any investment decision based solely on this indicator.
• All investments and trading involve substantial risk of loss and are not suitable for every investor. You should carefully consider whether trading is suitable for you in light of your experience, objectives, financial resources, and other relevant circumstances. 📉
• Actual trade results may vary from calculated targets due to slippage, market gaps, and execution delays
• The creator of this indicator is not a registered investment advisor, broker-dealer, or financial advisor. Nothing contained herein constitutes a recommendation or solicitation to buy or sell any financial instrument.
• In no event shall the creator be liable for any direct, indirect, incidental, special, or consequential damages arising out of the use of this indicator.
• This indicator DOES NOT calculate support/resistance levels
• This indicator DOES NOT provide buy/sell signals
• This indicator DOES NOT calculate entry prices
• It is the trader's responsibility to determine an appropriate entry price for their chosen strategy
• This indicator provides calculations only - execution discipline remains the trader's responsibility
• Default settings assume PDT margin account rules; adjust for cash accounts
• P&L ratio colors are guidelines - your actual win rate determines sustainable ratios
• Always verify position sizes don't exceed account buying power before executing
SUPPORT AND FEEDBACK 💬
This indicator represents years of trading experience condensed into automated calculations. It's designed to remove emotional decision-making from position sizing while maintaining flexibility for different market conditions and trading styles.
For questions, suggestions, or to share your results using the GSRM strategy, please comment on the TradingView publication page. 🚀
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Remember: The goal isn't to hit home runs - it's to get on base consistently while avoiding strikeouts. Small wins compound into large gains over time. ⚾💰
Version: 1.0
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
- creativecommons.org
Compatibility: TradingView Pine Script v6
ATM & ITM Strike Table (NIFTY & BANKNIFTY)This script is like a cheat sheet for option traders.
When you put it on your chart, it shows you a small table with:
The current spot price (the real market price).
The futures price (another version of the same index that sometimes trades a bit higher or lower).
The ATM strike (the strike price closest to the market price).
Which call option and put option are “in the money” and most relevant right now.
A little note to remind you if you’re looking at the right chart.
In short:
It saves you from doing mental math every time by automatically pointing out the key option strike prices you should be aware of.
Peshraw strategy 1//@version=5
indicator("Peshraw strategy 1", overlay=false)
// --- Stochastic Settings
kPeriod = 100
dPeriod = 3
slowing = 3
k = ta.sma(ta.stoch(close, high, low, kPeriod), slowing)
d = ta.sma(k, dPeriod)
// --- Moving Average on Stochastic %K
maLength = 2
maOnK = ta.sma(k, maLength)
// --- Plot Stochastic
plot(k, color=color.blue, title="%K")
plot(d, color=color.orange, title="%D")
// --- Plot MA(2) on %K
plot(maOnK, color=color.red, title="MA(2) on %K")
// --- Levels (fix hline error)
hline(9, "Level 9", color=color.gray, linestyle=hline.style_dotted)
hline(18, "Level 18", color=color.gray, linestyle=hline.style_dotted)
hline(27, "Level 27", color=color.gray, linestyle=hline.style_dotted)
hline(36, "Level 36", color=color.gray, linestyle=hline.style_dotted)
hline(45, "Level 45", color=color.gray, linestyle=hline.style_dotted)
hline(54, "Level 54", color=color.gray, linestyle=hline.style_dotted)
hline(63, "Level 63", color=color.gray, linestyle=hline.style_dotted)
hline(72, "Level 72", color=color.gray, linestyle=hline.style_dotted)
hline(81, "Level 81", color=color.gray, linestyle=hline.style_dotted)
hline(91, "Level 91", color=color.gray, linestyle=hline.style_dotted)
BK AK-Flag Formations🏴☠️ Introducing BK AK-Flag Formations — Raise the standard. Drive the line. Continue the assault. 🏴☠️
Built for traders who exploit momentum with discipline: flagpoles, flags, and pennants detected, tagged, and briefed—so you can press advantage instead of hesitating.
🎖️ Full Credit
The pattern engine, detection logic, and architecture are Trendoscope—one of the absolute best coders on TradingView and the original creator of this indicator’s core. I asked for interface upgrades and knew he was deep in other builds, so I forged the add-ons and released them for the community that values them.
My enhancements (on top of Trendoscope):
Label transparency (text + background)
Short-form labels (BF/BeF/BP/BeP/…)
Transparency controls for short-form labels
Hover tooltips with full pattern name + bullish/bearish bias (toggle)
Everything else is Trendoscope. Respect where it’s due.
🧠 What It Does
Locks onto flags and pennants after strong impulses (flagpoles).
Prints clean battlefield tags (BF, BeF, BP, BeP…) so the setup is obvious without burying price.
Mouse-over for the brief: full pattern name + directional bias exactly when you need it.
Multi-zigzag sweep for micro→macro detection, overlap control, bar-ratio verification, max-pattern caps, dark/light aware palette + custom colors.
🧭 Read the Continuation
BF — Bull Flag: strong pole, orderly pullback; look for break and measured move continuity.
BP — Bull Pennant: tight triangle after thrust; expansion confirms carry.
BeF — Bear Flag: weak rallies in a downtrend; break = continuation lower.
BeP — Bear Pennant: compressed pause beneath resistance; release favors trend.
Standards are not decoration—they are orders.
🤝 Acknowledgments
Original engine & libraries: Trendoscope (legend).
Enhancement layer (UX): transparency, short codes, tooltip system — BK.
Mentor: A.K. — clarity, patience, judgment. His discipline guides every choice here.
🫡 Give Forward
Don’t be cheap with your knowledge. If my indicators sharpen your edge:
Teach someone to read structure with discipline.
Share your process, not just screenshots.
Contribute code, context, or courage to those behind you.
Tools are force multipliers. Character decides how they’re used.
🙏 Final Word
“Plans are established by counsel; by wise guidance wage war.” — Proverbs 20:18
Impulse → formation → continuation.
Raise the banner, hold formation, and execute with wisdom.
BK AK-Flag Formations — when the standard rises, the line advances.
Gd bless. 🙏
Weekly Setup Scanner (Trend + Momentum + Squeeze)Trend → price above weekly 20 EMA.
Momentum → weekly MACD bullish (MACD > Signal).
Volatility → weekly squeeze (Bollinger Bands inside Keltner Channels).
If all 3 conditions align → it flags the setup
