TRADLEWARE-Gaussian Channel + StochRSI ETH
Gaussian Channel + Stochastic RSI ETH
This strategy combines a fast Gaussian Channel with a Stochastic RSI filter and a 200-day SMA bull-market gate, aimed at catching trend continuation while sitting out confirmed downtrends.
How it works
The Gaussian Channel is a smoothed price envelope built with an IIR (infinite impulse response) filter — a mathematically elegant alternative to a simple moving average. It applies a bell-curve weighting across recent bars, producing smooth, low-lag output. The channel is formed by adding and subtracting a filtered measure of true range (volatility) around the central filter line.
The channel turns green when the filter is rising (uptrend) and red when it is falling (downtrend). A separate 200-day simple moving average acts as a bull/bear regime switch: the strategy only trades when price is above it.
Entry
A long position is opened when all five conditions are true simultaneously:
The channel is green (filter rising — uptrend confirmed)
Price closes above the upper band (breakout above the channel; an optional buffer above the band can require more room, but testing found this counterproductive — see Parameters)
Stochastic RSI %K is either above 80 (strong momentum confirming the breakout) or below 25 (oversold dip within the uptrend)
Price is above the 200-day SMA (bull regime — can be disabled)
The signal bar itself closes above its own open — a bullish candle (can be disabled)
The bullish-candle check filters out breakout bars that clear the upper band intrabar but still close weak — a common precursor to an immediate whipsaw exit on the next bar.
The 200-day SMA gate exists specifically to block breakout entries that fire during bear-market bounces — dead-cat rallies that look like trend resumption on the channel and oscillator alone but occur underneath a still-falling long-term average.
Exit
The position is closed when either:
Price closes back below the upper band (breakout has failed or the trend is cooling), or
The channel reverses from green to red (trend direction has flipped)
An optional stop-loss (on by default) is placed at the lower band and trails as the channel moves, providing a floor on losses if price drops sharply through both the upper and lower bands in the same move. The regime gate only blocks new entries — it does not force an exit on its own if price falls back below the 200-SMA mid-trade.
Parameters
Poles: 4 (filter smoothness — higher = smoother but more lag)
Sampling Period: 89 (faster channel than the baseline version, reacts sooner to trend changes)
True Range Multiplier: 1.5 (controls channel width)
Stochastic RSI overbought threshold: 80
Stochastic RSI oversold threshold: 25 (a parameter sweep found a stable plateau from 22-28; 25 sits at its center rather than its single best value)
200-SMA regime gate: on by default, can be disabled; length is adjustable
Bullish entry candle requirement: on by default, can be disabled
Entry breakout buffer: 0% (off) by default; tested at multiple levels above 0% and found to reduce returns at every level, so left disabled
Stop-loss at lower band: on by default, can be disabled
Start/End date range inputs let you restrict the backtest window without editing code
Costs modelled
0.1% commission per side, 3 ticks slippage, fills at next bar's open.
Intended assets and timeframe
Daily bars. Designed and validated on ETH/USDT. Likely applicable to other trending crypto assets; not validated on equities .
Known limitations
Underperforms in choppy or ranging markets — the upper band breakout condition generates whipsaws when price oscillates without directional conviction. The regime gate is a trade-off: it blocks bear-bounce false starts, but it also means the strategy can miss the first leg of a genuine new uptrend until price reclaims the 200-day SMA. The filter requires several hundred bars of history to fully converge; results on very short histories may differ from the validated backtest. The strategy trades infrequently (around 28 trades on the validated window), so treat any single backtest run as a small sample rather than a statistically strong result.
Credit
The Gaussian Channel filter is from the open-source "Gaussian Channel (DW)" indicator by DonovanWall. This script reuses that filter and adds the Stochastic RSI entry filter, the 200-day SMA regime gate, exit rules, stop-loss, and full strategy order management on top of it.
Strategy
Indicator
NeuPortal - Forecast LevelsDraws a pre-computed probabilistic price forecast on the chart: a core-50% / 80% cone projected forward, the median path, an entry zone, an invalidation level, two reference levels, Fibonacci retracements, support/resistance and three EMAs.
This is a RENDERER, not a signal generator. You paste the numbers — produced by your own model or by hand — into the settings, and the script draws them consistently. Nothing is computed from price except the moving averages.
Why it is built this way: a forecast written down with an explicit invalidation and a stated probability band can be scored afterwards. A drawing without those cannot.
Inputs are grouped:
1) Forecast — central (median), core 50% band, wide 80% band, projection length
2) Position — bias (long / short / neutral), entry zone, invalidation, two reference levels
3) Structure — support, resistance, five Fibonacci retracements
4) Moving averages — three EMAs, bundled in to save an indicator slot
Educational content — not financial advice. Indicator
ETH Grid - Long IndicatorETH Grid — Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on ETH / USDT between two fixed bounds. It tracks up to 23 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on ETH in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for ETH 15m: Default bounds, level count, and step size are set against ETH's recent observed range. The 23-level geometric ladder gives roughly 1.0% per step — wide enough to clear perpetual taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (2165 / 1734) was set against ETH's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~3.8-month sample (355 closed trades, 67.32% win rate, 4.08% max drawdown, profit factor 2.433, +11.34% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a ETH / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect ETH to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ETH).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 23, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
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.
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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. Indicator
ScalpFlow: Dynamic Range & Structure Engine"Intraday S/R + Fractal Liquidity Mapper"
Navigate the Noise with Precision Structure Mapping
In the world of 5-minute scalping, the biggest challenge is identifying true trend shifts versus minor noise. ScalpFlow transforms your chart into a structural map, grouping price action into time-based "Blocks" that automatically label market highs and lows.
Stop guessing where the next support level is—ScalpFlow draws it for you based on realized market volatility.
Key Features
Automated Block Structure: Groups price action into clear visual boxes. Each box is color-coded (Bullish/Bearish) and automatically identifies HH (Higher Highs), LH (Lower Highs), LL (Lower Lows), and HL (Higher Lows).
Instant S/R Projection: The script identifies the High and Low of the previous completed block and projects them forward as dashed Support & Resistance lines. This gives you immediate targets for breakouts or mean-reversion trades.
Fractal HH/LL Labels: High-speed "Mini-Pivots" (Fractals) are labeled on the candles themselves, allowing you to spot micro-reversals before the larger block even closes.
Dynamic Trend-Line Midpoints: A blue trend line connects the midpoints of every block, providing a smoothed visual representation of the overall price trajectory.
Scalper’s HUD: A clean dashboard in the bottom-right corner that tells you exactly where price is relative to the range: "BREAKOUT UP," "INSIDE RANGE," or "BREAKDOWN DOWN."
Integrated VWAP: Standardized institutional volume weighting to ensure you are trading with the "Value" of the day.
The Scalper's Edge
This tool is designed for "Structure Traders." By seeing the market as a series of boxes rather than just lines, you can easily identify "Equality Highs" (EQH) or "Equality Lows" (EQL)—common areas where liquidity sits and where big moves often begin.
Best Used For:
Asset: Crypto (BTC/ETH), Forex (Major pairs), and Equities.
Timeframe: 1-Minute to 15-Minute (Optimized for 5m).
Style: Trend Following, Breakout Trading, and Range Scalping. Indicator
Vertical Event Lines - BTC Halving & Custom DatesThis indicator plots vertical lines and labels for Bitcoin halving dates and any custom events you define directly on the price chart.
It is designed as a clean, lightweight event-timeline overlay so you can instantly see where key dates occur relative to price action.
Main features
Built-in Bitcoin halving dates (2012, 2016, 2020, 2024), plus 8 additional custom event slots with freely configurable date/time, name and color.
Vertical lines are positioned using xloc.bar_time , ensuring each event is anchored to the exact timestamp in the chart’s timeframe and timezone.
Past and current events:
A label is created once, on the first bar that crosses the event time, and placed near the bar’s high for consistent readability across symbols and timeframes.
Future events:
A separate label is shown at the bottom of the chart, making future dates clearly visible even to the right of the last bar. These labels update only on the most recent bar to keep the script efficient.
Flexible styling:
Global controls for line width, line style and label size, with per-event color selection and optional per-event overrides of global width and style.
How to use
Add the script to any chart (BTC or other symbols). It works on all timeframes.
Use the Global settings to configure default line style, line width and label appearance (size, orientation, text color).
In each Event X section, enable the event and set:
Date/time in YYYY-MM-DD HH:MM format
Event name
Color
Optional custom width/style
When scrolling through time:
Events left of the last bar show a vertical line and a one-time label at the crossing bar.
Events right of the last bar show a vertical line and a bottom label that remains visible in the future.
This script is intended as a visual reference tool only .
It does not generate trading signals, alerts or backtests. Indicator
Indicator
Strategy
ETH Signal 15m
This strategy uses the Supertrend indicator combined with RSI to generate buy and sell signals, with stop loss (SL) and take profit (TP) conditions based on ATR (Average True Range). Below is a detailed explanation of each part:
1. General Information BINANCE:ETHUSDT.P
Strategy Name: "ETH Signal 15m"
Designed for use on the 15-minute time frame for the ETH pair.
Default capital allocation is 15% of total equity for each trade.
2. Backtest Period
start_time and end_time: Define the start and end time of the backtest period.
start_time = 2024-08-01: Start date of the backtest.
end_time = 2054-01-01: End date of the backtest.
The strategy will only run when the current time falls within this specified range.
3. Supertrend Indicator
Supertrend is a trend-following indicator that provides buy or sell signals based on the direction of price changes.
factor = 2.76: The multiplier used in the Supertrend calculation (increasing this value makes the Supertrend less sensitive to price movements).
atrPeriod = 12: Number of periods used to calculate ATR.
Output:
direction: Determines the buy/sell direction based on Supertrend.
If direction decreases, it signals a buy (Long).
If direction increases, it signals a sell (Short).
4. RSI Indicator
RSI (Relative Strength Index) is a momentum indicator, often used to identify overbought or oversold conditions.
rsiLength = 12: Number of periods used to calculate RSI.
rsiOverbought = 70: RSI level considered overbought.
rsiOversold = 30: RSI level considered oversold.
5. Entry Conditions
Long Entry:
Supertrend gives a buy signal (ta.change(direction) < 0).
RSI must be below the overbought level (rsi < rsiOverbought).
Short Entry:
Supertrend gives a sell signal (ta.change(direction) > 0).
RSI must be above the oversold level (rsi > rsiOversold).
The strategy will only execute trades if the current time is within the backtest period (in_date_range).
6. Stop Loss (SL) and Take Profit (TP) Conditions
ATR (Average True Range) is used to calculate the distance for Stop Loss and Take Profit based on price volatility.
atr = ta.atr(atrPeriod): ATR is calculated using 12 periods.
Stop Loss and Take Profit are calculated as follows:
Long Trade:
Stop Loss: Set at close - 4 * atr (current price minus 4 times the ATR).
Take Profit: Set at close + 2 * atr (current price plus 2 times the ATR).
Short Trade:
Stop Loss: Set at close + 4 * atr (current price plus 4 times the ATR).
Take Profit: Set at close - 2.237 * atr (current price minus 2.237 times the ATR).
Summary:
This strategy enters a Long trade when the Supertrend indicates an upward trend and RSI is not in the overbought region. Conversely, a Short trade is entered when Supertrend signals a downtrend, and RSI is not oversold.
The trade is exited when the price reaches the Stop Loss or Take Profit levels, which are determined based on price volatility (ATR).
Disclaimer:
The content provided in this strategy is for informational and educational purposes only. It is not intended as financial, investment, or trading advice. Trading in cryptocurrency, stocks, or any financial markets involves significant risk, and you may lose more than your initial investment. Past performance is not indicative of future results, and no guarantee of profit can be made. You should consult with a professional financial advisor before making any investment decisions. The creator of this strategy is not responsible for any financial losses or damages incurred as a result of following this strategy. All trades are executed at your own risk. Strategy
Indicator
