Pressure Fatigue Index [PFI] v3Pressure Fatigue Index (PFI)
OVERVIEW
The Pressure Fatigue Index is a bounded oscillator that reads from 0 to 100. Low readings mean oversold and high readings mean overbought, the same orientation you already know from RSI. That is where the resemblance ends. PFI does not use the average gain versus average loss ratio that RSI is built on. It reads a completely separate stream of information, namely where price settles inside each bar and how forceful that bar was, and it adds a fatigue mechanism that keeps the oscillator from pinning at an extreme for long stretches. That pinning behavior is the single most common frustration with RSI in trending markets, and removing it is the whole point of this tool.
HOW THE READING IS BUILT
For every bar, PFI measures where the close finished inside that bar's own range. A close near the high produces a positive value, a close near the low produces a negative value, and the exact middle of the bar is zero. In plain terms the raw bar value is twice the close, minus the high, minus the low, all divided by the range of the bar.
That location is then weighted by the size of the bar relative to recent volatility, using its true range compared with ATR. A wide conviction bar counts far more than a narrow indecisive one, so a big committed push moves the reading while chop barely registers.
Those weighted values are smoothed with a Wilder average into a running charge, and the charge is passed through a smooth squashing curve, a hyperbolic tangent, that maps it cleanly onto the 0 to 100 scale. The outcome is an oscillator that responds to genuine intrabar buying and selling pressure rather than to close to close drift.
THE FATIGUE MECHANIC
This is what separates PFI from every standard oscillator. While the reading sits beyond your overbought or oversold level, a hidden fatigue term builds up, and it builds faster the deeper the reading has pushed into the extreme. That fatigue then compresses the plotted line back toward the midline. To hold a value pinned at 85 the market would have to supply constantly accelerating fresh pressure, which real markets cannot sustain, so an extended run simply sags the line out of the zone on its own. The moment the reading leaves the extreme, fatigue releases and full sensitivity returns. Fatigue is driven by the underlying raw reading rather than the visible plotted line, so there is no threshold flutter and no repainting.
THE RAW GHOST LINE
PFI plots two lines. The bold purple line is the fatigue compressed reading you trade from. The faint gray ghost line behind it is the raw pressure before fatigue is applied. The distance between the two is itself information. When the ghost is still pinned deep in a zone while the purple line sags away from it, the move is still strong and it is not yet time to fade. When both lines roll out of the zone together, the exhaustion is real. The gap between them also drives the signal engine described below.
THE SIGNAL ENGINE
The buy and sell markers are built to catch turns at the actual low and high, not to fire every time a line touches a level. A signal is the end of a short sequence rather than a single condition, and each side can fire only once per cycle.
A buy requires the following to line up in order. First, a flush bar must occur while the raw reading is oversold, meaning a bar that is unusually wide relative to ATR and that closes down at the bottom of its own range. That is the panic capitulation that tends to mark bottoms, and it is marked on the pane with a small dot. Second, the episode must be mature, meaning the gap between the ghost and the purple line has grown wide enough to prove the move was both deep and sustained. Third, the trigger bar itself must be a conviction reversal, a bar with real size that closes up near the top of its range while the reading turns back up near the zone. In short, sellers pressed hard, exhausted themselves on a flush, and buyers just took the first decisive bar back.
Sells are the exact mirror. A euphoric blowoff bar in the overbought zone, a mature episode, and then a heavy rejection bar near the high.
After a signal fires, that side locks and cannot fire again until the reading passes back through the midline, so a single messy bottoming or topping process produces one marker rather than a cluster. A cooldown allows a second attempt only if a fresh, deeper flush develops.
There is also an optional divergence filter. When enabled, a buy also requires price to print a new low for the episode while the pressure reading makes a higher low, the classic bottoming tell. It is off by default because it screens out clean sharp reversals that have no divergence, but you can enable it when you only want the highest conviction fades.
INPUTS
Core sets the price source, the pressure length, the volatility length, and the sensitivity that controls how easily the reading reaches its extremes.
Zones set your overbought and oversold levels.
Fatigue exposes the build rate, the release rate, and the impact, so you can tune how quickly the oscillator tires and recovers and how hard it is pulled back toward the middle.
Signals expose the arm gap, the flush bar strictness, the trigger bar strictness, the near zone buffer, the optional divergence filter, and the re signal cooldown.
Smoothing gives you a moving average over the oscillator with the same menu as the built in RSI, including SMA, EMA, SMMA, WMA, VWMA, and an SMA option with Bollinger Bands.
HOW TO USE IT
Treat the purple line the way you would treat any oscillator, with low as oversold and high as overbought, but trust it to leave the zone on its own rather than staying stuck. Use the ghost line and its distance from the purple line to judge whether a move is still strong or genuinely tiring. Take the triangle markers as your prepared fade entries, and remember that each side fires once per cycle by design. If you want more markers on a fast timeframe, loosen the flush range first, then the arm gap, then the trigger close location. If you want fewer and stronger markers, do the reverse and consider enabling the divergence filter.
Set your alerts to fire once per bar close, since the live bar can move before it settles.
NOTE
This tool is offered for research and education. It is not financial advice. Test it on your own markets and timeframes and manage your own risk before trading it.
Indicator
SOL RSI DCA Strategy [3Commas & QuantPilot]SOL RSI DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 33 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (4%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 33, and the take-profit moved from 3% to 4%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +5,178.77 USDT (+5.18%), Max Drawdown 5.53%, 77 closed trades, 67.53% profitable, Profit Factor 4.582.
- Optimized (RSI < 33, TP 4%): Net +10,399.80 USDT (+10.40%), Max Drawdown 5.32%, , , .
The result: net profit roughly 2× higher (+5.18% → +10.40%), while maximum drawdown actually eased slightly (5.53% → 5.32%). The looser RSI entry (33) lets the strategy engage the dip earlier and more often, while the wider 4% target lets each recovery run a little further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating SOL on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 33 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 4% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (33) and take-profit (4%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The baseline produced 77 closed trades over ~30 months; the optimized configuration is in the same range. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 33 (optimizer-tuned from 28).
Take Profit: 4% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 33, TP 4%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +10,399.80 USDT (+10.40%)
Max Equity Drawdown: 5,751.73 USDT (5.32%)
Total Closed Trades:
Percent Profitable:
Profit Factor:
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 33), the five AO deviations and sizes, and the Take Profit (default 4%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.32%. Keep in mind the trade sample is below the ~100-trade floor for statistical confidence, and the profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 33 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 4%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Indicator
CTZ Accumulation/Distribution**CTZ Accumulation/Distribution**
A volume-based indicator that tracks whether money is flowing into or out of an asset by measuring where price closes within each bar's range, weighted by volume.
**How it works**
Each bar, a Money Flow Multiplier is calculated from the close's position between the high and low (–1 to +1). This is multiplied by volume to produce Money Flow Volume, which is added to a running cumulative total — the A/D line. Closes near the high on heavy volume push the line up (accumulation); closes near the low on heavy volume push it down (distribution).
**Features**
- **A/D Line with trend colouring** — teal when above the signal EMA, red when below, giving an at-a-glance read on money flow direction
- **Signal EMA (default 21)** — smooths the A/D line and acts as a trend filter; crosses can be used as early momentum shifts
- **Automatic divergence detection** — pivot-based logic flags bullish divergence (price makes a lower low while A/D makes a higher low = hidden accumulation) and bearish divergence (price makes a higher high while A/D makes a lower high = distribution into strength)
- **Built-in alerts** — divergence signals and signal-line crosses in both directions
**How to use it**
Confirmation: when price and the A/D line rise together, the uptrend is supported by real buying pressure. When they fall together, the downtrend is genuine.
Divergence: when price and the A/D line disagree, treat it as an early warning. Bull labels suggest smart money is accumulating into weakness; Bear labels suggest distribution into rising prices. These work best on higher timeframes and near key levels — not as standalone entries.
**Settings**
Signal EMA length, pivot lookback (sensitivity of divergence detection), and max bars between pivots (how far apart two pivots can be and still count as a divergence) are all adjustable.
**Limitations**
The A/D line ignores gaps between bars — an asset gapping up overnight registers nothing if it then closes mid-range. Pivot-confirmed divergence labels print a few bars after the pivot by design. Best used alongside momentum tools (RSI, MFI) rather than in isolation. Indicator
SyncroFlow RSI [Trend & Momentum]Title: SyncroFlow RSI
Description:
SyncroFlow RSI is a modern, visually clean indicator designed to help traders objectively identify points of confluence between macro trend direction and short-term momentum.
By combining the structural trend analysis of the SuperTrend with the momentum dynamics of the RSI and its EMA, this tool provides a clear, noise-free visualization of market flow. It is built with a calming, pastel-based color palette to reduce eye strain during long charting sessions, allowing for calm and rational market analysis.
🌟 Core Concepts
Macro Trend (Background Color):
The indicator calculates a short-term SuperTrend (default 10, 1.0) and projects its direction as a subtle background color. A Teal background indicates a bullish overarching trend, while a Rose Red background indicates a bearish trend.
Momentum Flow (RSI & EMA):
Instead of just looking at overbought/oversold levels, this script focuses on the trajectory of the RSI. It plots the RSI alongside a smoothing EMA. The EMA changes color (Teal/Red) based on its slope, giving you an immediate read on whether short-term momentum is accelerating or decelerating.
SyncroFlow Signals (Triangles):
The true edge of this indicator lies in its "Sync" logic. When the overarching trend (SuperTrend Background) and the short-term momentum (RSI's EMA slope) align in the same direction, the indicator plots a triangle signal. This highlights the exact moment the market regains its directional harmony.
⚙️ Key Features
Alternating Signal Filter: To prevent signal spam during choppy consolidations or complex pullbacks, the script includes a strict alternating filter. It will only print a bullish signal if the previous signal was bearish (and vice versa), ensuring you only see the most significant structural shifts.
Calm & Minimalist Aesthetics: Designed with custom Earth and Pastel tones to keep your charts looking professional and easy on the eyes.
Highly Customizable: Everything is neatly grouped in the settings panel. You can easily adjust the RSI length, SuperTrend sensitivity, toggle visuals (hide background or signals), and fully customize the colors/transparency to match your dark or light chart theme.
💡 How to Interpret the Data
Trend Continuation (Pullbacks): During a strong Teal background (Bullish SuperTrend), wait for the RSI's EMA to briefly turn red (pullback), and then look for the Bullish Sync Triangle (alignment) as a potential objective area to rejoin the trend.
Objective Environment Assessment: If the background is Teal but the EMA line is consistently Red, it visually warns you that the macro trend and micro momentum are fighting each other (consolidation/chop).
Disclaimer: This script is designed for educational and objective environmental analysis purposes only. It is not a standalone mechanical trading system. Always use it in conjunction with your own price action analysis and risk management rules. Indicator
Heikin Ashi CVD (Dashboard Mode)Title: Heikin Ashi CVD (Cumulative Volume Delta) with Absorption & Dashboard
Description:
Standard Cumulative Volume Delta (CVD) is a powerful tool for reading order flow, but its raw data can be extremely noisy and erratic, making objective analysis difficult.
This indicator addresses this issue by applying Heikin Ashi (HA) smoothing directly to the CVD data. By filtering out micro-fluctuations, it reveals the true underlying flow of aggressive market buying and selling. Furthermore, this script is packed with visual supports, including Absorption (Divergence) Detection, Delta Spike Alerts, and CVD Bollinger Bands, designed to provide a deeper understanding of market micro-structure.
🌟 Key Features
Heikin Ashi Smoothed CVD:
Transforms noisy volume delta into smooth, easily readable Heikin Ashi candles. Green (Teal) candles indicate dominant aggressive buying, while Red candles indicate dominant aggressive selling. This helps traders maintain a clearer perspective on the overall order flow, reducing premature reactions to market noise.
Smart Absorption Detection (White Candles):
A unique analytical feature of this indicator. When the HA-CVD shows a strong trend (a candle with no lower/upper wick), but the actual price candle moves in the opposite direction, the CVD candle will turn White. This signals a divergence: aggressive market orders are being absorbed by passive limit orders. It highlights a significant anomaly worth monitoring for potential shifts in market dynamics.
Delta Spike Alerts:
Automatically detects abnormal surges in volume delta (2.5x higher than the 20-period average). The background will highlight Teal for extreme buying spikes and Red for extreme selling spikes, alerting you to potential order flow climax or breakout phases.
CVD Bollinger Bands:
Unlike price, CVD has no fixed upper or lower boundaries. We applied Bollinger Bands to the CVD to help you identify relative "overbought" or "oversold" order flow conditions. (The script safely handles daily resets so the bands remain stable).
Real-time Status Dashboard:
A clean, unobtrusive panel at the bottom right that instantly displays the current "CVD Trend" (based on EMA crossovers) and the "Market Heat" (based on short vs. long-term volume moving averages).
Hybrid Calculation Modes:
High Precision (Premium Users): Uses request.security_lower_tf to calculate highly accurate delta from the 5-second timeframe.
Normal Mode (Free Users): Uses a 1-minute approximation formula so all PulseWire users can utilize the indicator without calculation limits.
💡 How to Interpret HA-CVD
Trend Assessment:
Monitor the consistency of the HA-CVD candle colors to gauge the health of the current trend. A steady color structure suggests sustained aggressive order flow, helping you objectively evaluate the market direction.
Spotting Absorption:
Look for White Candles at key Support/Resistance levels or VWAP. If you see aggressive selling (negative delta) being absorbed (price refuses to drop), it can serve as an early warning sign that the current momentum is stalling due to institutional limit orders.
Identifying Exhaustion:
Watch for the CVD to pierce its upper or lower Bollinger Bands combined with a Delta Spike (Background highlight). This often marks a phase of short-term order flow exhaustion, suggesting a potential consolidation or reversion.
Settings:
You can easily toggle the Daily Reset feature (based on NY Midnight), adjust the lower timeframe for precision mode, and turn the dashboard on or off via the indicator settings. Indicator
Custom RSI Indicator Custom RSI Indicator
Overview
The Custom RSI Indicator v6 is a clean and easy-to-use momentum indicator built on the Relative Strength Index (RSI). It helps traders identify potential overbought and oversold market conditions while providing visual buy and sell signals based on RSI crossovers.
This indicator is designed for traders who want a simple, non-repainting RSI tool that can be used across multiple markets and timeframes.
Features
- Adjustable RSI length.
- Custom price source selection.
- Clearly marked Overbought (70), Oversold (30), and Midline (50) levels.
- Visual BUY and SELL signal markers.
- Background highlighting during overbought and oversold conditions.
- Alert conditions for PulseWire notifications.
How the Indicator Works
The indicator calculates the Relative Strength Index (RSI), which measures the speed and strength of recent price movements.
- RSI above 70 indicates that price has entered an overbought zone, where bullish momentum may be becoming extended.
- RSI below 30 indicates that price has entered an oversold zone, where bearish momentum may be weakening.
- RSI around 50 represents a neutral momentum area.
The indicator also generates:
- BUY Signal: When RSI crosses above the 30 level, suggesting momentum is strengthening after an oversold condition.
- SELL Signal: When RSI crosses below the 70 level, suggesting momentum is weakening after an overbought condition.
These signals are momentum-based and should always be interpreted within the context of the overall market trend.
How to Use
1. Add the indicator to your PulseWire chart.
2. Choose your preferred RSI length (14 is the default and widely used).
3. Watch the RSI movement relative to the key levels:
- Above 70
- Below 30
- Around 50
4. Use the generated BUY and SELL markers as potential trade opportunities.
5. Enable PulseWire alerts if you want to receive notifications when new signals appear.
Trading Ideas
This indicator can be used in several ways:
Trend Trading
- Look for BUY signals when the overall market trend is bullish.
- Look for SELL signals when the overall market trend is bearish.
Momentum Reversals
When RSI moves into an extreme zone and then exits it, momentum may be shifting. Waiting for confirmation from price action can help filter weaker setups.
Range Markets
During sideways markets, RSI often reacts well between the overbought and oversold levels, making it useful for identifying potential swing opportunities.
Best Practices
- Combine RSI with market structure, support and resistance, or trend analysis.
- Avoid relying on RSI signals alone during highly volatile conditions.
- Consider waiting for candle confirmation before entering a trade.
- Always apply proper risk management and position sizing.
Timeframes
This indicator can be used on any timeframe, including:
- 1 Minute
- 5 Minutes
- 15 Minutes
- 1 Hour
- 4 Hours
- Daily
- Weekly
Different timeframes may produce different signal frequencies and should be selected according to your trading style. Indicator
RSI Divergence Indicator with Custom LevelsHere's a publish-ready description you can paste into PulseWire's publishing form:
---
**RSI Divergence Indicator with Custom Levels**
This indicator combines a standard RSI oscillator with automatic divergence detection, plus fully customizable horizontal reference lines.
**Core Features:**
- **RSI Oscillator** — configurable period and source, plotted with standard 30/50/70 reference lines and an overbought/oversold shaded zone.
- **Automatic Divergence Detection** — identifies and labels four types of divergence directly on the RSI:
- Regular Bullish (price makes a lower low, RSI makes a higher low)
- Hidden Bullish (price makes a higher low, RSI makes a lower low)
- Regular Bearish (price makes a higher high, RSI makes a lower high)
- Hidden Bearish (price makes a lower high, RSI makes a higher high)
- **Built-in Alerts** — alert conditions are included for all four divergence types, so you can get notified the moment a new divergence forms.
**New: Custom Horizontal Lines**
Beyond the default 30/50/70 levels, you can now add up to 10 additional horizontal reference lines anywhere on the RSI scale — useful for marking your own thresholds, historical pivot levels, or extreme readings. Each line is fully independent and configurable:
- Enable/disable individually
- Set the exact level
- Choose the color and opacity
- Choose the line style (solid, dashed, dotted)
- Set the line width
This makes it easy to tailor the indicator to your own trading strategy without cluttering the chart with lines you don't need.
**How to Use:**
Add the indicator, then open its settings to adjust RSI period/source, toggle divergence types, and turn on any custom lines you want under "Custom Line 1" through "Custom Line 10."
Indicator
Gold Signals# Gold Signals
Gold Signals is a professional PulseWire indicator designed to identify high-probability BUY and SELL opportunities using advanced market structure analysis, trend confirmation, and intelligent filtering techniques.
Built with a clean interface and optimized default settings, the indicator helps traders focus on high-quality setups while reducing market noise. Although primarily optimized for Gold (XAUUSD), it can also be used on other highly liquid markets.
! (PUT_YOUR_COVER_LINK_HERE)
---
# ✨ Main Features
✅ Smart BUY & SELL Signals
Generate high-quality trading signals using multiple confirmation layers.
✅ Multi-Timeframe Confirmation
Validate market direction using higher and lower timeframe analysis.
✅ Trend Detection
Identify the current market direction using adaptive trend calculations.
✅ EMA Slope Filter
Filter out weak trends and sideways market conditions.
✅ Momentum Filter
Focus on stronger market movements while avoiding low-momentum environments.
✅ Built-in Take Profit & Stop Loss Visualization
Automatically display TP and SL zones directly on the chart.
✅ Statistics Dashboard
Monitor important trading information through an integrated dashboard.
✅ PulseWire Alerts
Receive instant notifications whenever a qualified trading opportunity appears.
---
# 📈 sell Example
The following example demonstrates a SELL setup generated after all confirmation filters aligned.
---
# 🎯 SELL Target
After the SELL signal is confirmed, Gold Signals automatically displays predefined Take Profit and Stop Loss zones to simplify trade management.
! (PUT_YOUR_BUY_TARGET_LINK_HERE)
---
# 📊 Dashboard
The integrated dashboard provides a quick overview of market conditions and trading information while keeping the chart clean and organized.
---
# ⚙️ Recommended Settings
Optimized for Gold (XAUUSD).
• Chart Timeframe: 1 Minute
• Higher Timeframe: 15 Minutes
• Short Trend: 30
• Long Trend: 100
• Momentum Filter: Enabled
• EMA Slope Filter: Enabled
---
# 🔔 Alerts
PulseWire alerts are fully supported.
Create BUY or SELL alerts directly from the indicator to receive real-time notifications whenever a new qualified setup appears.
---
# 👨💻 Credits
Gold Signals is based on the open-source **Smart Money Structure** project created by **GainzAlgo**.
This version includes interface improvements, optimized default settings, usability enhancements, and additional refinements developed by **A1**.
Full credit for the original concept and base implementation belongs to GainzAlgo.
---
# 🚀 Version 1.0
### Initial Public Release
• Professional English interface
• Optimized default settings
• Enhanced chart visualization
• Multi-Timeframe confirmation
• EMA Slope filtering
• Momentum confirmation
• Built-in TP & SL visualization
• Statistics Dashboard
• PulseWire alert support
• Performance and usability improvements
---
# ⚠️ IMPORTANT DISCLAIMER
Gold Signals is provided solely as a technical analysis and educational tool.
This indicator does not provide financial, investment, or trading advice and should not be considered a guarantee of profitable trading results.
Financial markets involve significant risk, and losses are a natural part of trading. No indicator can accurately predict future market movements under all conditions.
Always perform your own market analysis, use proper risk management, and never risk more than you can afford to lose.
Past performance does not guarantee future results.
By using this indicator, you acknowledge and accept that all trading decisions and their outcomes are entirely your own responsibility. FX:XAUUSD FX:XAUUSD Indicator
Reversal Scalper 2.0- Adib NooraniReversal Scalper - Smoothed Stoch & ATR Trend Filter
Hey everyone, I originally put this script together to help me scalp XAUUSD and Indian equities on lower timeframes, specifically to solve a problem I was having with standard momentum oscillators.
We all know the main issue with using a regular Stochastic for scalping: it’s great for spotting exhaustion, but when a strong trend kicks in, the oscillator just stays pegged in the overbought or oversold zones. If you try to trade those reversal signals blindly, you just get run over by the trend.
To fix this, I created a mashup that combines a smoothed Stochastic with a custom ATR-based structural trend ribbon. The whole point of combining these two indicators is to use the ATR bands to define the actual market structure, and only take the Stochastic reversal signals when the trend filter confirms that the push is actually exhausted.
How the math works:
First, the bottom oscillator (what I call the Reversal Strength Meter) is based on a standard 8-period Stochastic. But to cut out the erratic noise you usually get on the 1m or 5m charts, I ran it through a 5-period Simple Moving Average. It gives a much cleaner read on momentum.
Second, the background trend filter uses a long-term ATR (100-period, halved) multiplied by a deviation factor (default is 3). The script looks back at recent swing highs and lows to project a volatility channel. I linked this channel to the bar colors so you don't need to look at messy lines on your chart.
How to trade with it:
If the price breaks hard outside the ATR channel, the candles change color (white for a strong push up, black for a strong push down). When you see this, it means the trend is expanding—do not look for reversals, even if the Stochastic is at an extreme.
For Longs: Wait for a strong downward push that turns the candles black. Let the smoothed Stochastic dip below the 20 level. You only enter long when the candles go back to their normal color (showing the structural selling pressure has stopped) AND the stochastic crosses firmly back up above 20.
For Shorts: Wait for a bullish push that turns the candles white. Let the stochastic ride up above 80. Your short trigger is when the candles return to normal and the stochastic crosses back down below 80.
I left the inputs open so you can adjust the Stochastic lengths and the ATR deviation factor depending on what timeframe or asset you are trading. Hope this helps you guys filter out the fake outs. Indicator
Adaptive Confluence Oscillator [ForexCracked]🔵 OVERVIEW
The Adaptive Confluence Oscillator scores four independent read-outs of the market on a continuous scale, weights them according to the current market regime, and plots the result as a single 0 to 100 line. Instead of asking "do my indicators agree, yes or no," it asks "how strongly does each one agree, and which of them should I be listening to right now."
It has no fixed overbought or oversold levels. The bands are calculated from the oscillator's own recent behaviour, so they widen when the market gets volatile and tighten when it goes quiet.
Signals confirm on candle close and do not repaint.
🔵 WHY THIS IS BUILT THE WAY IT IS
Most multi-indicator tools take a vote. RSI is oversold or it is not. That throws away most of the information: an RSI of 29 and an RSI of 12 are not the same signal, but a vote counts them identically. It also treats every indicator as equally relevant at all times, which is plainly false. Stochastic exhaustion means one thing in a strong trend and the opposite thing in a range.
This oscillator fixes both problems. Every component returns a continuous score, and the market regime decides how much each score is worth.
🔵 THE FOUR COMPONENTS (each scored from -1 to +1)
• Trend: how far price sits from its baseline EMA, measured in ATR units rather than in price. Distance matters, not just which side of the line you are on. Because it is measured in ATR, it reads the same on gold as it does on EURUSD.
• Momentum: RSI recentred around 50, so it contributes proportionally instead of flipping at a threshold.
• Impulse: the MACD histogram converted to a z-score against its own rolling deviation. This makes MACD comparable across symbols and timeframes without ever re-tuning it, which raw MACD values are not.
• Stretch: the Stochastic, recentred. This is the component that changes behaviour with regime (see below).
🔵 THE REGIME SWITCH (the part that makes it adaptive)
ADX decides whether the market is trending or ranging, and that changes two things.
First, the weights re-balance:
• Trending: Trend 0.35, Momentum 0.25, Impulse 0.30, Stretch 0.10
• Ranging: Trend 0.15, Momentum 0.25, Impulse 0.20, Stretch 0.40
Second, and more importantly, the Stretch component flips sign. In a trend, a stretched Stochastic confirms the move and pushes the score further in that direction. In a range, the same reading argues for a fade and pushes the score the other way. This is the behaviour a discretionary trader applies without thinking about it, and it is what a fixed vote cannot express.
🔵 ADAPTIVE BANDS
There are no 70/30 lines here. The upper and lower bands are the rolling mean of the oscillator plus and minus a multiple of its own standard deviation. A reading of 68 can be an extreme in a quiet market and completely unremarkable in a volatile one, and the bands reflect that.
• BUY: the score crosses above the upper adaptive band
• SELL: the score crosses below the lower adaptive band
🔵 DIVERGENCE
The script finds pivots on the score itself and compares them against price at those same bars. When price makes a higher high but the score makes a lower high, that is marked as a bearish divergence, and the mirror case as bullish. Divergences are labelled and have their own alerts. Because a divergence is anchored to a confirmed pivot, it prints a few bars after that pivot forms and never moves once printed.
🔵 THE DASHBOARD
The panel shows each component's live score, its current weight, the detected regime with the ADX value, and the oscillator against its adaptive bands. You can see exactly which component is driving the reading and why, rather than trusting a black box.
🔵 SETTINGS
• Baseline EMA 34, ATR 14, Trend Span 2.0 x ATR
• RSI 14, MACD 12/26/9, Stochastic 14
• ADX 14, trending above 22
• Band lookback 100, band width 1.0 x standard deviation
🔵 HOW TO USE
• Take signals where the dashboard regime agrees with the direction. A BUY in a trending regime is a continuation. A BUY in a ranging regime is a fade off the bottom of the range.
• Treat a divergence as a warning to tighten or take partials, not as a standalone entry.
• Raise the band width above 1.0 for fewer and stronger signals, lower it for more.
• Widen Trend Span on noisy symbols so ordinary volatility does not read as trend.
⚠️ DISCLAIMER
This is an analysis tool, not a prediction. A confluence score is a measure of agreement, and indicators can agree and still be wrong. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes. Not financial advice. Indicator
Currency Strength Meter [ForexCracked]🔵 OVERVIEW
A currency strength meter that ranks the eight major currencies against each other in real time, and then tells you the one thing you actually opened it for: which pair to trade right now.
It reads all 28 major crosses, so every currency is measured across all seven of its pairs, not just against the dollar.
🔵 WHAT MAKES THIS ONE DIFFERENT
Almost every strength meter measures each pair's percent change and averages it. That has a flaw nobody talks about: a 40 pip move in a quiet pair and a 40 pip move in a violent one are treated as the same event, when they are not remotely the same event.
This meter measures every move in ATR units instead. A currency only scores highly if it has moved far relative to how far that pair normally moves. Quiet pairs stop being drowned out by naturally volatile ones, and the ranking stops flattering whichever currency happens to be paired with the wildest counterpart that week.
🔵 WHAT IT SHOWS
• A live ranking of USD, EUR, GBP, JPY, CHF, AUD, NZD and CAD, strongest to weakest
• Each currency's strength in ATR units, so the numbers mean something rather than being an index
• Whether each currency is strengthening or weakening against its own recent reading, not just where it sits
• The Best Pair line: long the strongest currency, short the weakest
• The Spread: the distance between strongest and weakest
🔵 THE SPREAD (read this one first)
The spread is the gap between the strongest and the weakest currency. It answers a question most traders skip: is anything actually happening?
A wide spread means currencies are genuinely diverging and a strength-based trade has something to work with. A narrow spread means everything is drifting together, the ranking is mostly noise, and the best trade is usually no trade. Check the spread before you trust the ranking.
🔵 HOW TO USE
• Read the spread. If it is small, the ranking is not telling you much, so wait.
• Take the Best Pair as a starting point, not an entry. It tells you where the divergence is, not when to get in.
• Prefer a currency that is both highly ranked and still strengthening over one that is highly ranked and already fading, since the second one has usually made its move.
• Confirm the pair on the chart with your own entry method. A strength meter frames the trade. It does not time it.
• Lengthen the Lookback for swing trading and shorten it for intraday.
🔵 SETTINGS
• Strength Lookback: how many bars back the move is measured over (default 24)
• ATR Length: the volatility yardstick every move is divided by (default 14)
• Symbol Prefix: leave blank on most charts. If the pairs do not load, set it to your data provider, for example OANDA: or FX:
• Show Ranking Table: toggles the strongest-to-weakest table in the top right (default on)
• Plot Strength Lines: toggles the eight strength curves in the pane (default on)
⚠️ DISCLAIMER
Relative strength tells you which currencies are moving and which are not. It does not tell you when to enter, and strong currencies reverse. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes. Not financial advice. Indicator
Cardwell Dual Confluence [MarkitTick]💡 A comprehensive momentum and trend-following framework built to identify high-probability market shifts. By synthesizing Andrew Cardwell's established Relative Strength Index (RSI) range rules with dynamic trend filtering and volatility metrics, this tool provides a unified analytical engine. It moves beyond standard oscillator readings to map the underlying momentum regime, ensuring that signals are structurally aligned with the dominant trend.
● ✨ Originality and Utility
Traditional momentum oscillators often produce premature reversal signals during strong trends, leading to false entries in directionless markets. This indicator solves that problem by integrating a dual-tier confluence model. It does not rely solely on an isolated RSI moving average crossover; instead, it demands structural validation through Cardwell's defined momentum ranges.
The primary utility lies in its objective structural filtering: a momentum cross is only validated if the broader market regime structurally supports the direction of the momentum.
By combining a base timeframe momentum cross with a Higher Timeframe (HTF) trend regime and Average Directional Index (ADX) volatility filtering, this tool prevents overtrading in choppy, non-directional environments.
This deliberate combination of an oscillator, a trend filter, and a volatility metric acts as a logical confluence engine. It avoids the pitfalls of disjointed indicator mashups by ensuring every component serves a distinct mathematical purpose in validating the signal before it is printed to the chart.
● 🔬 Methodology and Concepts
The logic engine of this tool evaluates multiple distinct criteria before registering a valid signal.
• Momentum Crossover
The script calculates a base RSI and smooths it using two Running Moving Averages (RMA): a Fast RMA and a Slow RMA. A baseline momentum shift occurs when the Fast RMA crosses the Slow RMA, indicating a localized surge in buying or selling pressure.
• Regime Mapping
A structural trend is evaluated by comparing the closing price to a Simple Moving Average (SMA). Simultaneously, a secondary RSI is evaluated against Cardwell's defined structural ranges. A Bullish Regime requires the price to be above the SMA and the RSI to hold within a specific upper tier (defaulting to 40-80). A Bearish Regime requires the price to be below the SMA and the RSI to hold within a lower tier (defaulting to 20-60).
• Confirmation and Confluence
Regimes must persist for a user-defined number of consecutive bars to filter out transient market noise. Confluence is achieved when an RMA momentum crossover occurs within a tight, predefined window of a regime shift, ensuring both immediate momentum and the structural trend are perfectly aligned.
• Higher Timeframe and Volatility Verification
An optional HTF module checks the regime state of a larger timeframe using a strict non-repainting historical offset. Furthermore, the ADX is calculated to measure pure trend strength. If the ADX is below the user-defined minimum threshold, the market is deemed too choppy, and all signals are suppressed.
• Dynamic Trade Architecture
Once a signal is validated strictly on a confirmed bar close, the script projects dynamic Stop Loss and Take Profit levels using a multiplier of the Average True Range (ATR), actively adapting the trade geometry to current market volatility.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The analytical foundation of this tool rests on advanced momentum physics and statistical distribution theories.
• Cardwell RSI Range Theory
Developed by Andrew Cardwell, this theory posits that the Relative Strength Index is not merely an overbought/oversold oscillator, but a powerful trend-identifying metric. In a mathematically robust uptrend, the RSI establishes a baseline support near the 40 level and frequently reaches 80. Conversely, in a downtrend, it establishes resistance near 60 and drops to 20. The indicator algorithmically enforces these limits to objectively classify market environments.
• Running Moving Average (RMA) Dynamics
The script utilizes the RMA, also known as the Modified Moving Average (MMA) or SMMA, to smooth the RSI base. The RMA applies an exponential smoothing weight defined exactly as 1 / length . This specific mathematical weighting retains a longer memory of past data compared to a standard SMA, preventing the abrupt drop-offs that occur when large data points exit a simple moving average window. This makes the RMA crossover highly sensitive to genuine shifts in cumulative momentum without the lag of a standard exponential moving average.
• Average Directional Movement Index (ADX)
Created by J. Welles Wilder, the ADX quantifies trend strength independent of directional vector. By calculating the smoothed moving averages of the +DI and -DI directional movement indicators, the ADX isolates the absolute magnitude of price expansion. The script uses this mathematical isolation to construct an absolute threshold; requiring ADX to exceed a base level ensures that the statistical probability of trend continuation is mathematically viable before capital is exposed.
• Volatility-Scaled Projection (ATR)
Take profit and stop loss coordinates are mapped using Wilder's Average True Range. The ATR measures the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. By scaling targets using ATR multipliers, the tool shifts from fixed-point geometry to dynamic, standard-deviation-aligned targeting, ensuring targets expand during high volatility and contract during consolidation.
● 🎨 Visual Guide
The tool employs a clean, visually dynamic chart interface to transmit complex data instantly without cluttering the workspace.
• Heatmap Candles
Candle bodies and wicks are dynamically colored based on the active regime. Teal indicates a confirmed Bullish Regime, Red indicates a Bearish Regime, and Gray indicates a Neutral market state.
• Signal Labels
When all confluence parameters are met on a confirmed bar close, a solid blue "BUY" label appears below the bar, or an orange "SELL" label appears above the bar, complete with strict execution markers.
• Dynamic Trade Levels
Upon signal generation, the tool plots projected trade levels extending to the right of the price action. A solid Red line indicates the Stop Loss threshold. A dashed Blue line denotes the Entry price. Dashed Teal lines represent Take Profit 1, 2, and 3. Labels accurately print the precise price levels directly on the chart axis.
• Risk and Reward Fills
A semi-transparent Red linefill is plotted between the Entry and Stop Loss lines to visualize risk exposure, while a Teal fill between Entry and TP3 visualizes the total projected reward structure, allowing for instant visual evaluation of the trade setup.
• Integrated Dashboard
A comprehensive table is positioned on the chart, displaying real-time operational metrics. It details the current Cross Trend, Regime State, Confirm Bar count, Signal Gap status, Last Signal source, Trade Status, live ATR value, TP3:SL ratio, and HTF/Chop Filter states in an easy-to-read grid.
● 📖 How to Use
Deploying this tool requires patience and strict adherence to structural confirmation.
Wait for the Heatmap Candles to shift from Gray (Neutral) to Teal (Bullish) or Red (Bearish). This indicates that the broader moving average trend and the internal RSI ranges have aligned into a confirmed structural regime.
Observe the chart for a printed BUY or SELL label. This confirms that the RMA momentum cross has achieved mathematical confluence with the active regime within the defined allowable window.
Check the Dashboard to ensure the HTF Regime and Chop Filter (ADX) read as PASS. If the market is blocked by the Chop Filter, do not force an entry, as the statistical probability of a sustained run is low.
Upon entry, utilize the plotted ATR lines to structure your risk. Place your stop loss exactly at the solid red line, and scale out of your position at the dashed TP1, TP2, and TP3 levels as price action develops.
Wait for the Signal Gap cooldown period to elapse before considering consecutive entries in the same direction. This engineered delay prevents overexposure during erratic, volatile spikes.
● ⚙️ Inputs and Settings
The script features highly customizable parameters grouped logically for maximum workflow efficiency.
• Core Settings
Adjust the lengths for the Cross RMA (Fast/Slow) and the primary RSI source. Modify the Trend MA length and explicitly set the boundaries for the Bull Range (default 40-80) and Bear Range (default 20-60). Configure the Confluence Window to define exactly how close a cross and regime shift must occur to trigger a valid signal, and set the Signal Gap cooldown timer.
• Filters
Toggle the HTF Confirmation logic and select the desired higher timeframe for broader structural alignment. Enable the ADX Chop Filter and set the minimum required trend strength to strip out low-probability environments.
• Trade Tools
Define the ATR lookback length and customize the specific multipliers for the Stop Loss and the three Take Profit targets to match your unique risk-to-reward requirements. Modify the Line Extend Bars input to control how far into the future the trade levels are drawn.
• Visuals and Dashboard
Toggle individual visual components, including candle coloring, signal labels, and trade level plotting. Position the dashboard to any corner of the chart to prevent the obstruction of live price action.
• Alerts
Input specific JSON string payloads for Long, Short, Close Long, Close Short, SL, and TP actions. This allows the indicator to integrate seamlessly with automated execution platforms or third-party webhooks without requiring manual code modifications.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
EGADE Research-Based RSI Threshold ConfigurationEGADE Research-Based RSI Threshold Configuration is an empirical RSI decision-support indicator based on the findings of research by Hatem Mabrouk , Federico Trigos , and Francisco Valderrey , Tecnologico de Monterrey, EGADE Business School, Mexico
The underlying study systematically evaluated nine RSI threshold configurations across nine major cryptocurrencies and the S&P 500 using weekly RSI(14) data. The findings challenge the conventional assumption that the standard 30/70 configuration is universally optimal and identify asset-specific dominant threshold configurations based on win rate, geometric weekly return, and average holding period.
This indicator operationalizes those empirical findings directly within PulseWire. For assets included in the study, it automatically displays the research-based RSI threshold configuration identified by the empirical analysis.
The indicator provides three display modes:
• Research-Based: Displays the empirically identified threshold configuration for the selected asset.
• Conventional 30/70: Displays the traditional RSI 30/70 configuration.
• Compare Both: Displays the research-based and conventional configurations simultaneously for direct comparison.
The indicator uses weekly RSI(14) regardless of the chart timeframe and provides visual entry and exit zones, threshold-entry markers, alerts, and an information dashboard.
Assets currently supported by the empirical research: BTC, ETH, ADA, AVAX, BNB, DOGE, SOL, TRX, XRP, and the S&P 500.
Disclaimer: The findings and information presented through this indicator are intended exclusively for academic, research, educational, and decision-support purposes. Nothing contained in the underlying study or this indicator constitutes financial or investment advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Historical empirical performance does not guarantee future results. Users should conduct their own analysis and exercise independent judgment when making financial or investment decisions. Indicator
Enhanced RSIWhy this Enhanced RSI is better than the classic RSI
The classic RSI is a powerful momentum oscillator, but it has some limitations in real trading. This Enhanced RSI improves on the standard version by adding several useful visual and analytical features.
1. Momentum Fill (The Biggest Improvement)
The classic RSI only shows one line, so you have to mentally compare its slope and position. This Enhanced RSI plots both the RSI and its moving average (SMA or EMA), then fills the space between them with color. Green fill means the RSI is above its MA (bullish momentum is strong), while red fill means the RSI is below its MA (bearish momentum is strong). This gives you an instant visual read of momentum strength and direction.
2. RSI + Signal Line (Like a Mini MACD for RSI)
The moving average of the RSI acts as a signal line. Crossovers between the RSI and its MA often give cleaner and earlier signals than just waiting for the RSI to cross 50 or the classic 30/70 levels. It also helps filter out some of the noise and whipsaws that the raw RSI produces.
3. Better Overbought / Oversold Zones
The classic RSI uses thin horizontal lines at 70 and 30. This Enhanced version draws filled bands with adjustable width (default width = 10). This shows you how deeply price has moved into overbought or oversold territory, not just whether it crossed a line. It gives a better sense of exhaustion strength.
4. Much Better Visual Clarity
The Enhanced RSI offers significantly better visual clarity compared to the classic version. The colored momentum fill between the RSI and its moving average makes it very easy to instantly see whether momentum is bullish or bearish. The filled OB/OS bands are more informative than simple thin lines. Overall, the combination of the RSI line, its MA, the dynamic fill, and the visible zones allows traders to read the indicator much faster and with less effort than the standard RSI.
5. Practical Trading Advantages
Divergences are easier to spot because you have two lines instead of one. The colored fill helps you quickly see when momentum is accelerating or fading. It works well for both mean-reversion strategies (fading extremes) and trend-following (following strong momentum). Overall, it reduces noise compared to the raw RSI and provides more actionable information at a glance.
Summary – When to use which
Use the Enhanced RSI when you want faster visual interpretation of momentum, cleaner signals with fewer whipsaws, and better visualization of overbought/oversold strength. The classic RSI can still be useful if you prefer a simpler and more minimal chart. For most discretionary traders and those who like clear visual feedback, the Enhanced version is generally superior.
Bottom line
This Enhanced RSI doesn’t replace the classic RSI — it enhances it. By adding a signal line, a visual momentum fill, and better zone visualization, it allows traders to read momentum and potential reversals faster and with greater confidence. Indicator
RSI Multi Levels Pro (JPT)🔹 OVERVIEW
RSI Multi Levels Pro (JPT) is an enhanced Relative Strength Index (RSI) indicator that expands the traditional 70/30 approach by introducing multiple configurable RSI levels to help traders observe momentum shifts and potential reversal areas.
Instead of relying on a single overbought or oversold threshold, the indicator displays several RSI zones, allowing users to monitor how momentum develops as price moves through different strength levels.
The indicator also highlights potential exhaustion areas using optional visual markers when RSI reaches user-defined extreme level
🔹 HOW IT WORKS
The indicator calculates the standard RSI using a configurable period and plots it against multiple horizontal reference levels.
As RSI moves through these levels, traders can observe changes in market momentum and identify areas where price may begin slowing, reversing, or continuing its current move.
Optional markers are displayed when RSI reaches predefined upper or lower threshold values, helping users quickly identify extreme momentum conditions.
🔹 MULTI-LEVEL RSI STRUCTURE
Unlike a traditional RSI with only two reference levels, RSI ML Pro provides multiple zones including:
// RSI Levels
lvl90 = input.int(90, "Level 90")
lvl80 = input.int(80, "Level 80")
lvl70 = input.int(70, "Level 70")
lvl60 = input.int(60, "Level 60")
lvl50 = input.int(50, "Level 50")
lvl40 = input.int(40, "Level 40")
lvl30 = input.int(30, "Level 30")
lvl20 = input.int(20, "Level 20")
lvl10 = input.int(10, "Level 10")
These levels can help distinguish between moderate momentum and more extreme market conditions.
🔹 VISUAL FEATURES
• Standard RSI Line
• Configurable Multi-Level Reference Lines
• Upper Momentum Markers
• Lower Momentum Markers
• Customizable Colors
• Adjustable RSI Length
• Clean and Lightweight Display
• Compatible with Dark and Light Chart Themes
🔹 INDICATOR INPUTS
The indicator includes several customization options:
RSI Length
Adjust the RSI calculation period.
Reference Levels
Configure upper and lower RSI levels to match your trading style.
Signal Markers
Enable or disable momentum markers.
Colors
Customize the appearance of the RSI line, levels, and markers.
🔹 HOW TO USE
A common workflow is:
Observe the overall RSI trend.
Monitor how RSI reacts around the configured reference levels.
Watch for momentum markers when RSI reaches extreme values.
Combine RSI observations with your own price action or market structure analysis before making trading decisions.
🔹 SUITABLE MARKETS
RSI ML Pro can be used on:
• Forex
• Cryptocurrency
• Stocks
• Indices
• Commodities
• Gold
The indicator is designed to work across multiple timeframes depending on the user's trading approach.
🔹 COMBINING WITH OTHER TOOLS
Many traders choose to combine RSI ML Pro with other forms of technical analysis such as:
• Trend Analysis
• Support and Resistance
• Moving Averages
• Market Structure
• Volume Analysis
• Supply and Demand Zones
Using multiple forms of analysis may provide additional market context.
🔹 NOTES
RSI measures momentum and should not be interpreted as a standalone buy or sell signal. Strong trends can remain in higher or lower RSI regions for extended periods.
This indicator is intended as a technical analysis tool and should be used alongside appropriate risk management and independent market analysis. Indicator
Momentum Cascade | Lyro RSOverview:
Momentum Cascade is a rate-of-change momentum tool that passes a single momentum reading through three sequential smoothing stages to filter out early, unconfirmed moves. Rather than reacting to the first sign of a shift, it waits for the momentum signal to "cascade" through instant, reactive, and committed stages before confirming a trend, giving a cleaner read on when a move has genuine follow-through.
Key Features
Three-Stage Cascade Engine: Calculates a rate-of-change momentum value, then passes it through two successive EMA smoothing stages. Stage 1 is the raw instant impulse, Stage 2 is the first reactive smoothing, and Stage 3 is the fully committed signal.
Trend Confirmation Score: Each stage contributes +1 or -1 depending on its direction. A trend only confirms when all three stages agree (score of +3 or -3), filtering out momentum blips that fade before they cascade through.
Gradient Strength Visualization: The committed Stage 3 line and candle coloring use a gradient blend based on how strong the current agreement is across all three stages, giving an at-a-glance read on conviction.
Multi-Layer Plotting: Displays all three cascade stages simultaneously (thin instant line, mid-weight reactive line, and a glow-effect committed line) so you can see momentum building in real time, not just the final confirmation.
Candle Coloring: Optionally recolors chart candles using the same gradient logic as the oscillator, aligning price action visually with the cascade's current trend strength.
Customizable Visuals: Choose from 4 preset palettes — Classic, Mystic, Accented, Royal — or define your own custom bullish/bearish colors.
Built-In Signals: Automatically plots long/short labels on confirmed trend flips (when the score crosses into full +3 or -3 agreement).
How It Works
Momentum Calculation – Computes rate-of-change of price over the chosen length as the raw momentum impulse (Stage 1).
Cascade Smoothing – Passes that momentum through an EMA to produce Stage 2 (reactive), then smooths again to produce Stage 3 (committed).
Scoring – Assigns +1/-1 per stage based on sign, summing to a score between -3 and +3.
Trend Confirmation – A trend state only flips when the score reaches full agreement (+3 or -3), meaning all three stages point the same direction.
Signal Plotting – Trend flips are marked with long/short labels, and candle/line coloring reflects both direction and agreement strength via gradient.
Practical Use
Trend Confirmation – Use full cascade agreement (score of ±3) as confirmation that a momentum shift has enough follow-through to be tradeable, rather than acting on Stage 1 alone.
Early Warning – Watch Stage 1 and Stage 2 for early signs of a potential shift before the full cascade confirms, useful for anticipating entries.
Conviction Reading – Use the gradient strength on Stage 3 and candles to gauge how strongly the current trend is holding versus weakening.
Combine with Structure – Pair cascade confirmations with support/resistance or market structure levels for higher-quality entries.
Customization
Adjust Momentum Length and Stage Smoothing independently to tune responsiveness vs. lag.
Toggle signal labels and candle coloring on/off.
Pick a preset palette or define fully custom bullish/bearish colors.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals. Indicator
BTC DCA Strategy [3Commas & QuantPilot]BTC Smart DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for BTC / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 38 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (5.5%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 38, and the take-profit moved from 3% to 5.5%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +3,078.29 USDT (+3.08%), Max Drawdown 3.79%, 62 closed trades, 70.97% profitable, Profit Factor 4.028.
- Optimized (RSI < 38, TP 5.5%): Net +9,250.25 USDT (+9.25%), Max Drawdown 3.67%, 93 closed trades, 76.34% profitable, Profit Factor 10.454.
The result: net profit roughly 3× higher (+3.08% → +9.25%), profit factor up from 4.0 to 10.5, win rate up from 71% to 76% — all while maximum drawdown stayed essentially flat (3.79% → 3.67%). The looser RSI entry (38) lets the strategy engage the dip earlier and more often, while the wider 5.5% target lets each recovery run further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating BTC on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 38 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 5.5% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (38) and take-profit (5.5%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Near the Statistical Floor: The optimized configuration produced 93 closed trades over ~30 months (62 on the baseline). This is approaching but still below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BTCUSDT.P (Perpetual) — strategy is portable to any BTC / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 17, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 38 (optimizer-tuned from 28).
Take Profit: 5.5% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 38, TP 5.5%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +9,250.25 USDT (+9.25%)
Max Equity Drawdown: 3,980.36 USDT (3.67%)
Total Closed Trades: 93
Percent Profitable: 76.34% (71 / 93)
Profit Factor: 10.454
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +3,078.29 USDT (+3.08%)
Max Equity Drawdown: 3,852.12 USDT (3.79%)
Total Closed Trades: 62
Percent Profitable: 70.97% (44 / 62)
Profit Factor: 4.028
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 38), the five AO deviations and sizes, and the Take Profit (default 6%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 3.67%. Keep in mind the 93-trade sample is just below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 38 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 5.5%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
MRB Cycle Oscillator Alpha**Overview**
The "MRB Cycle Oscillator Alpha" is a highly advanced, multi-dimensional momentum and trend-analysis tool. It is not just another MACD; it upgrades traditional momentum concepts by combining Triple Exponential Smoothing (TES), mathematically derived momentum "Cycle Candles," RSI-confluent Bollinger Bands, and an ADX/DMI-driven background. This provides traders with a unified dashboard for trend direction, momentum strength, and mean-reversion zones without cluttering the main chart.
**What makes it original? (Core Concepts)**
This script brings originality to the Community Scripts by fusing several independent mathematical concepts into a single cohesive oscillator:
1. **TES-MACD (Triple Exponential Smoothing):** Instead of standard EMAs, this indicator calculates the MACD utilizing a custom Triple Exponential Smoothing (TES) algorithm. This significantly reduces market noise and lag compared to a traditional MACD.
2. **Momentum Cycle Candles:** Instead of displaying a raw oscillator line, the script extracts the open, high, low, and close values directly from the TES-MACD's historical delta. It then applies a custom smoothing algorithm to generate "Cycle Candles." This unique transformation visualizes momentum shifts and trend persistence much more clearly than a standard line or histogram.
3. **RSI-Dynamic Bollinger Bands:** Bollinger Bands are applied directly to the oscillator (users can choose to base it on the MACD Line EMA or the Signal Line TES). Furthermore, the outer bands dynamically change color based on the traditional chart's RSI values (e.g., turning green when RSI is overbought, red when oversold). This provides a dual-confirmation for extreme conditions.
4. **ADX/DMI Background Matrix:** The indicator calculates ADX and ±DI in the background. If the ADX crosses a user-defined threshold, the chart background changes color based on the dominant DI (green for uptrends, red for downtrends). This acts as a macro-trend filter.
**How to use it**
* **Trend Confirmation:** Use the background color (driven by ADX/DMI) to filter your trades. Only look for long setups when the background is green, and short setups when red.
* **Momentum Shifts:** Watch the color and body of the Cycle Candles in the oscillator pane. A transition from red to green indicates a shift to bullish momentum.
* **Overextended Zones (Mean Reversion):** When the Cycle Candles pierce the outer Bollinger Bands, AND the bands themselves change color (triggered by RSI extremes), it signals a highly overextended market, warning of a potential reversal or pullback.
**Customization**
Every element is modular. Traders can disable the Cycle Candles view in favor of a standard line, toggle the Bollinger Bands, adjust the RSI thresholds for band coloring, and fine-tune the ADX/DMI periods for background filtering. Indicator
SMI + Bollinger Bands## SMI + Bollinger Bands
SMI + Bollinger Bands is an overlay indicator that projects the Stochastic Momentum Index directly into the price space defined by Bollinger Bands.
Traditional SMI indicators are displayed in a separate oscillator pane. This script instead transforms the SMI value into a price-relative flow line, allowing momentum, volatility, and price structure to be viewed together on the main chart.
### Core concept
The indicator calculates two related systems:
1. A standard Bollinger Band structure based on a configurable moving average and standard deviation.
2. A double-smoothed Stochastic Momentum Index calculated from the relationship between the closing price and its recent high-low range.
The SMI is then normalized using the selected SMI Threshold and projected around the Bollinger basis:
* An SMI value equal to the positive threshold aligns with the primary upper Bollinger Band.
* An SMI value equal to the negative threshold aligns with the primary lower Bollinger Band.
* Values between the thresholds appear inside the primary Bollinger range.
* Momentum exceeding the threshold can extend beyond the primary bands and into the optional extended-band zones.
This projection makes it possible to compare momentum behavior directly with current price and volatility rather than interpreting an oscillator in a separate pane.
### Plotted elements
**Bollinger basis**
The center line of the Bollinger structure. The moving-average type can be selected from SMA, EMA, SMMA/RMA, WMA, or VWMA.
**Primary Bollinger Bands**
The upper and lower volatility boundaries calculated from the selected standard-deviation multiplier.
**Extended Bollinger Bands**
Optional outer volatility zones using a separately configurable standard-deviation multiplier. These areas can help visualize unusually extended price or momentum conditions.
**SMI Flow**
The yellow line represents the projected Stochastic Momentum Index. Its position shows where momentum currently sits relative to the Bollinger structure.
**SMI Flow-Base**
The white line is an EMA-smoothed version of the projected SMI Flow. It provides a slower reference line that can be used to observe momentum direction, compression, expansion, and crossings.
### Inputs
**Bollinger Band settings**
* Length: Lookback period used for the Bollinger basis and standard deviation.
* Basis MA Type: Moving-average calculation used for the basis.
* Source: Price source used for the Bollinger calculations.
* StdDev: Multiplier used for the primary Bollinger Bands.
* Extended StdDev: Multiplier used for the optional outer bands.
* Use Extended Bands: Enables or disables the extended volatility zones.
**SMI settings**
* %K Length: Lookback period used to determine the recent high-low momentum range.
* %D Length: Double-EMA smoothing applied during the SMI calculation.
* EMA Length: Smoothing applied to the projected SMI Flow-Base line.
* SMI Threshold: Defines which positive and negative SMI values align with the primary upper and lower Bollinger Bands.
### General interpretation
The indicator is intended as a visual analysis framework rather than a standalone entry system.
Traders may use it to study:
* Momentum changes relative to volatility.
* SMI Flow and Flow-Base crossings.
* Momentum expansion beyond the primary bands.
* Momentum rejection from extended zones.
* Divergence between price movement and projected momentum.
* Compression around the Bollinger basis.
* Confluence with trend, structure, volume, support, resistance, or other analysis.
A movement outside a band does not automatically indicate a reversal. Strong trends can remain extended, and crossings can occur repeatedly during sideways or volatile conditions. Market context and risk management remain necessary.
### Calculation behavior
This script does not use future data, lookahead calculations, or higher-timeframe requests. Values on the active candle may continue changing as the candle’s high, low, and close update. Historical values are finalized after their respective candles close.
### Disclaimer
This indicator is provided for research, education, and chart analysis. It does not provide guaranteed trade signals, financial advice, or predictions of future market performance. Users are responsible for independently evaluating all trading decisions and managing their own risk.
Indicator
ATK/DEF KDJ Rewind ContextRewind KDJ Context is a visual KDJ analysis indicator designed to provide a clearer understanding of momentum structure through the relationship between the K, D, and J lines.
Traditional KDJ analysis often focuses on fixed overbough and oversol levels. This indicator expands the interpretation by analyzing the interaction between KDJ components, including line arrangement, directional changes, momentum development, and structural transitions.
The script transforms KDJ movement into different context states, helping users observe how momentum conditions develop, slow down, weaken, and recover over time.
Instead of treating K, D, and J as isolated values, Rewind KDJ Context focuses on the relationship between the three components and presents their current condition through a structured visual approach.
KDJ Context Framework
▶️ Momentum Push
Identifies conditions where K, D, and J show coordinated upward momentum development.
This context represents a phase where KDJ structure is aligned with increasing momentum activity and stronger directional movement.
⏸️ Momentum Pause
Highlights situations where momentum remains active but begins to slow or entr a temporary balance condition.
This state focuses on changes in momentum speed and the relationship between K, D, and J during a slowing phase.
⏪ Reversal Context
Highlights changes in KDJ structure where J-line movement and the relationship between K and D indicate a possible transition in short-term momentum conditions.
This context focuses on structural changes rather than predicting future pric direction.
⬇️ Weakness Context
Displays conditions where KDJ structure shows reduced momentum strength and weaker directional movement.
This state helps visualize when previous momentum conditions begin losing strength.
🔄 Recovery Context
Highlights situations where KDJ structure begins improving after a weaker phase.
This context observes changes in J-line behavior and KDJ alignment during potential momentum recovery conditions.
⚪ Neutral Context
Represents situations where K, D, and J do not form a strong directional structure and momentum remains relatively balanced.
Main Features
• Customizable KDJ calculation parameters
• Dynamic K, D, and J value visualization
• KDJ line relationship and structure analysis
• Momentum context classification
• Historical context table display
• Recent bar comparison
• Visual markers for important KDJ transitions
• KDJ arrangement monitoring
• Adjustable display range and historical reference position
How It Works
Rewind KDJ Context uses the traditional KDJ calculation method based on RSV, followed by smoothing calculations for the K and D lines.
The J line is derived from the relationship between K and D:
• K line represents the smoothed RSV movement
• D line represents the smoothed K line movement
• J line represents an extended momentum relationship between K and D
The indicator evaluates several aspects of KDJ behavior, including:
• Relative position between K, D, and J
• Directional movement of each component
• Changes in momentum expansion and contraction
• KDJ structural transitions
• Recent historical context
These calculations are organized into visual context states to make KDJ behavior easier to interpret.
Intended Use
Rewind KDJ Context is designed as a technical analysis tool for observing momentum conditions and KDJ structure.
It can be used together with price action analysis, trend evaluation, support and resistance analysis, volatility analysis, and other technical methods to build a broader market view.
The indicator is intended to provide additional context about momentum behavior rather than replace complete market analysis.
Notes
Rewind KDJ Context is based on mathemat calculations derived from historical pric data.
The displayed context states represent current and historical KDJ conditions based on the selected settings and market data available on the chart.
Different assets, timeframes, and market environments may produce different interpretations of the same indicator behavior.
Disclaimer
Rewind KDJ Context is provided for informational and technical analysis purposes only.
This indicator does not provide finacl advice, personalized recommendations, autm trading decisions, or guaranteed results.
The displayed KDJ context states, momentum conditions, and visual markers are generated from mathematical calculations and should not be interpreted as predictions of future pric movements.
Users are responsible for conducting their own analysis, making their own decisions, and applying appropriate risk management methods.
Past market behavior and technical indicator performance do not guaran future outcomes. Indicator
INJ DCA Long Strategy [3Commas & QuantPilot]INJ DCA Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for INJ / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (9%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 The one change that mattered — Take Profit tuning:
This strategy started from a baseline configuration with a 3% fixed take-profit. Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, the take-profit parameter was swept and the best-performing value landed at 9%. Nothing else was touched — same RSI entry, same five-order ladder, same deviations, same 1.8× sizing, same fees. Only the Take Profit input changed from 3% to 9%.
- Baseline (Take Profit 3%): Net +6,888.76 USDT (+6.89%), Max Drawdown 4.39%, 84 closed trades, 71.43% profitable, Profit Factor 4.925.
- Optimized (Take Profit 9%): Net +15,830.72 USDT (+15.83%), Max Drawdown 5.65%, 90 closed trades, 82.22% profitable, Profit Factor 17.886.
Widening the target lets each recovery run further before the position is banked, capturing the fuller mean-reversion bounce instead of exiting on the first small pop. The trade-off is a modestly higher drawdown (4.39% → 5.65%) and longer average hold time. The published defaults use the optimized 9% value; the baseline metrics are shown here purely so the effect of the single parameter change is transparent.
🔷 Who is it for:
- Swing traders accumulating INJ on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 9% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Exit: The 9% take-profit is not an arbitrary round number — it is the value the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The 9% take-profit was selected by sweeping the parameter over the same historical window shown in the results. A value that was best in-sample is not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The optimized configuration produced 90 closed trades over ~30 months (84 on the baseline). Both are below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If INJ trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. A wider 9% target also means positions are held longer, so the grid can sit loaded through deeper dips before the exit is reached.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:INJUSDT.P (Perpetual) — strategy is portable to any INJ / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 16, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 9% above average entry (optimizer-tuned from a 3% baseline).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — Take Profit 9%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +15,830.72 USDT (+15.83%)
Max Equity Drawdown: 6,426.47 USDT (5.65%)
Total Closed Trades: 90
Percent Profitable: 82.22% (74 / 90)
Profit Factor: 17.886
🔷 STRATEGY RESULTS (Baseline — Take Profit 3%, for comparison)
Net Profit: +6,888.76 USDT (+6.89%)
Max Equity Drawdown: 4,429.13 USDT (4.39%)
Total Closed Trades: 84
Percent Profitable: 71.43% (60 / 84)
Profit Factor: 4.925
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the Take Profit (default 9%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.65%. Keep in mind the 90-trade sample is below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes (default 9%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Multi-Oscillator Divergence Scanner [Quantum Algo]Multi-Oscillator Divergence Scanner
====================================================
🔶 OVERVIEW
Multi-Oscillator Divergence Scanner is a confluence-based divergence indicator that scans up to seven classic oscillators simultaneously — Relative Strength Index, Moving Average Convergence Divergence, Stochastic Oscillator, Commodity Channel Index, On Balance Volume, Money Flow Index, and Momentum — and displays the result on two synchronized canvases at once. Divergence lines, graded labels, and reaction zones are drawn directly on the price chart, while a dedicated pane below plots a Composite Oscillator built from every enabled engine, with the same divergence lines mirrored onto the composite itself. You see both slopes of every divergence — price disagreeing with momentum — in one glance.
The problem this script solves is selective divergence trading. Any single oscillator produces frequent divergences, and most of them fail. Requiring multiple mathematically independent engines — momentum-based, volume-based, and volatility-normalized — to diverge at the same confirmed swing filters the noise down to setups where disagreement between price and participation is broad, not incidental.
🔶 WHAT IS A DIVERGENCE?
A divergence occurs when price prints a new extreme but an oscillator refuses to confirm it. A regular bullish divergence forms when price makes a lower low while the oscillator makes a higher low — a classic reversal condition. A regular bearish divergence forms when price makes a higher high while the oscillator makes a lower high. Hidden divergences are the continuation counterparts: price makes a higher low while the oscillator makes a lower low (hidden bullish), or price makes a lower high while the oscillator makes a higher high (hidden bearish). This scanner detects all four types on confirmed swing pivots.
🔶 WHAT IS THE COMPOSITE OSCILLATOR?
The Composite Oscillator is the consensus reading of every engine you enable. Bounded oscillators (Relative Strength Index, Stochastic, Money Flow Index) contribute their native zero-to-one-hundred values; unbounded engines (Moving Average Convergence Divergence histogram, On Balance Volume, Momentum) are range-normalized over a configurable lookback; the Commodity Channel Index is rescaled onto the same axis. The average of all enabled engines plots as a single gradient line with overbought and oversold guides, a midline fill, and divergence lines drawn directly on it — so the pane shows aggregate momentum from the same engines that vote on every signal, not a separate calculation.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. True multi-engine confluence. Divergences are not detected on one oscillator and decorated with others. All seven engines are evaluated independently at every confirmed pivot, and a signal only exists when the minimum confluence count you set is reached.
2. Dual-canvas mirroring. Every qualified divergence is drawn twice: on price, and on the Composite Oscillator in the pane, connected at the same two pivots. Both slopes of the disagreement are visible simultaneously — the visual proof that defines a divergence.
3. Consensus composite pane. The pane line is not one more oscillator; it is the averaged, normalized voice of the exact engines doing the scanning, colored by a gradient between the oversold and overbought guides.
4. Full transparency on every label. Each signal prints its strength as a diamond meter and lists the exact oscillators that diverged (for example: RSI · OBV · MFI). You always know why a signal exists — nothing is a black box.
5. Strength-scaled visuals. Divergence lines thicken with confluence on both canvases, and signals reaching the Strong threshold upgrade to the accent color, so chart hierarchy communicates quality instantly.
6. Reaction zones with a life cycle. Every regular divergence projects a volatility-sized zone around its pivot (measured in Average True Range). Zones gray out automatically the moment price invalidates them, so the chart always distinguishes live zones from dead ones.
7. Divergence pressure gauge. A decaying pressure model accumulates bullish and bearish divergence weight over time, giving a one-glance read on which side has been stacking disagreement with price.
🔶 HOW IT WORKS
Pivot scanning: Swing highs and swing lows are confirmed with a symmetric pivot lookback. All divergence checks are evaluated on closed bars at pivot confirmation, so historical signals do not repaint. Confirmation lag equals the right-side pivot length by design.
Confluence evaluation: At each confirmed pivot, every enabled oscillator's value at that pivot is compared against its value at the previous same-side pivot. The four divergence types are tested independently per oscillator, and contributions are counted.
Signal grading: Signals meeting the Minimum Oscillator Confluence print with strength diamonds (one per contributing oscillator). Signals reaching the Strong Signal Threshold upgrade to the accent color and thicker geometry on both the price chart and the composite pane.
Composite rendering: The pane plots the consensus line with a gradient fill to the midline, dashed overbought and oversold guides, tinted extreme bands, triangle marks at divergence bars, and the mirrored divergence lines.
Reaction zones: Each regular divergence projects a box around its pivot sized by Average True Range, extended a configurable number of bars. A bullish zone grays out when price closes below it; a bearish zone grays out when price closes above it.
Dashboard: A fully themeable panel on the price chart shows the last signal, a live divergence pressure meter, and one row per engine with its live value — color-coded for overbought, oversold, or directional state — plus each engine's most recent divergence side. Text size (four steps), position, and every color (title band, background, frame, grid, header, body, muted) are adjustable.
Chart hygiene: The number of divergences kept is capped by input, on both canvases. Older lines, labels, and zones are deleted automatically, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. Higher timeframes produce fewer, larger-structure signals.
2. Start with Minimum Oscillator Confluence at 2 and the Strong threshold at 4. Raise the minimum to 3 for a strict, low-frequency reversal tool; lower it to 1 to study single-oscillator behavior.
3. Read the pane and the chart together: a valid signal shows price sloping one way and the composite sloping the other, connected at the same pivots.
4. Regular divergences are reversal-oriented: treat them as exhaustion evidence at swing extremes, strongest when the composite is also inside an overbought or oversold band.
5. Hidden divergences are continuation-oriented: treat them as trend re-entry evidence during pullbacks, and do not read them like reversal signals.
6. Use the reaction zone as the decision area: a live zone holding on retest supports the signal; a grayed zone means the divergence failed.
7. The pressure meter is context, not a trigger — persistent one-sided pressure alongside fresh strong signals is the highest-quality condition.
🔶 SETTINGS
- Pivot Left / Right Length — swing size; larger values scan bigger structures.
- Independent toggles and lengths for all seven oscillator engines.
- Composite pane: normalization lookback, overbought and oversold levels, pane marks, and mirrored divergence lines toggle.
- Regular and hidden divergence toggles, minimum confluence, strong threshold.
- Reaction zone height (Average True Range ratio) and extension.
- Divergences To Keep — caps historical drawings on both canvases for chart cleanliness and stable auto-scale.
- Dashboard with adjustable text size, position, live oscillator values, and full color theming.
- Full color customization for all chart drawings and pivot markers.
🔶 ALERTS
- Bullish Divergence / Bearish Divergence — a regular divergence met the confluence minimum.
- Hidden Bullish Divergence / Hidden Bearish Divergence — a continuation divergence met the minimum.
- Strong Divergence — a regular divergence reached the strong threshold.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Divergences are evaluated only on confirmed pivots at bar close. The trade-off is intentional confirmation lag equal to the right-side pivot length.
Why does a pane divergence line sometimes start slightly off the composite's visual peak? Divergence is measured at price structure points. The line connects the composite's values at the two confirmed price pivots, which is the correct comparison even when the composite made its own extreme a bar or two away.
Why do some obvious divergences not print? Either the confluence minimum was not reached, the oscillator involved is disabled, or the swing did not confirm as a pivot under the current lengths.
Which oscillators should I enable? The default set mixes momentum and volume perspectives, which is the point of confluence: independent evidence, not seven copies of the same math.
Is a Strong signal a guaranteed reversal? No. Strength counts agreement between engines; it is a transparency measure, not a probability of profit.
🔶 CREDITS
This script builds its scanning and composite engine on classic, public-domain oscillators, and gratefully credits their creators: the Relative Strength Index by J. Welles Wilder Jr. (1978), Moving Average Convergence Divergence by Gerald Appel, the Stochastic Oscillator popularized by George C. Lane, the Commodity Channel Index by Donald Lambert (1980), On Balance Volume by Joseph Granville (1963), and the Money Flow Index by Gene Quong and Avrum Soudack. All oscillator calculations use standard built-in formulas. Drawing divergence lines on an oscillator is a long-established charting convention popularized by many community authors, acknowledged here as shared prior art. The multi-engine confluence scanner, the consensus Composite Oscillator, the dual-canvas mirroring, transparency labeling, strength grading, reaction zone life cycle, pressure model, and all code in this script are original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Divergence can persist or fail entirely during strong trends; regular divergences against a powerful trend are the weakest application. Volume-based engines (On Balance Volume, Money Flow Index) are less meaningful on symbols with unreliable volume reporting. The composite's normalized components depend on the normalization lookback. Pivot confirmation introduces intentional delay. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently.
Indicator
