Indicator
SteveFi Trade CockpitThe dashboard has 15 rows:
| Row | Purpose |
| ----------- | ---------------------------------------------------- |
| **ACTION** | Final decision output |
| **AGG** | Weighted overall score using all 13 major attributes |
| **EWave** | Elliott/Wolfe/Stoch/RSI-style timing score |
| **CANSLIM** | CANSLIM-style technical quality score |
| **RS** | Relative strength vs QQQ |
| **52W** | Distance from 52-week high |
| **Vol** | Current volume vs average volume |
| **Accum** | Accumulation vs distribution pressure |
| **Pivot** | Whether price is near a breakout/pivot area |
| **MR** | Mean reversion / extension risk |
| **Trend** | Overall trend structure |
| **Stoch** | Momentum reset/exhaustion |
| **Price** | Price action confirmation |
| **INV** | Invalidation level |
| **Target** | Potential upside target |
The color coding is:
| Color | Meaning |
| ------------- | ---------------------------------------------- |
| **Green** | Positive / bullish |
| **Orange** | Watch / caution / constructive but not perfect |
| **Dark gray** | Neutral / waiting |
| **Red** | Negative / risk / failure |
---
# 1. ACTION
This is the **main output**.
Possible values:
| ACTION | Meaning |
| ------------------ | --------------------------------------------------------------------------------- |
| **BUY TRIGGER** | Aggregate score is strong, price confirms, not invalidated, and not too stretched |
| **BUY WATCH** | Setup is building, but not fully confirmed |
| **TRIM / CAUTION** | Momentum may be rolling over or price is stretched |
| **WAIT** | Some positives exist, but not enough for action |
| **NO TRADE** | Weak overall setup |
| **INV** | Invalidation level broke. Setup failed. |
The action row is based mostly on **AGG**, not just EWave.
Current logic:
```text
BUY TRIGGER =
AGG >= 80
AND Price is Confirmed
AND not invalidated
AND MR is not Stretched
```
If you turn on:
```text
Require CANSLIM Filter for BUY TRIGGER
```
Then BUY TRIGGER also requires a minimum CANSLIM-quality pass.
That is the stricter version.
---
# 2. AGG
**AGG** is the most important score now.
It is the weighted aggregate score based on all major dashboard factors. This is the “whole chart quality” score.
Current weighting:
| Attribute | Weight |
| ----------- | -----: |
| **CANSLIM** | 21% |
| **RS** | 13% |
| **Price** | 12% |
| **Trend** | 10% |
| **Pivot** | 10% |
| **52W** | 8% |
| **EWave** | 8% |
| **Vol** | 6% |
| **MR** | 5% |
| **Accum** | 3% |
| **Stoch** | 2% |
| **INV** | 1% |
| **Target** | 1% |
This weighting intentionally makes the dashboard **less wave-heavy**.
The thinking is:
> Great stocks with strong RS and confirmed price action matter more than a possible wave count.
AGG grades:
| AGG Score | Grade | Meaning |
| -----------: | ----- | ---------------------------------- |
| **85+** | A+ | Excellent |
| **80–84** | A | Strong / trigger zone if confirmed |
| **70–79** | B | Good watchlist setup |
| **60–69** | C | Developing but not there yet |
| **50–59** | D | Weak / wait |
| **Under 50** | Weak | No trade |
How I’d use it:
| AGG | Interpretation |
| -----------: | ------------------------------------------------- |
| **80+** | Potential action zone |
| **70–79** | Watch closely |
| **60–69** | Setup forming, still early |
| **Under 60** | Probably ignore unless you have a separate thesis |
---
# 3. EWave
**EWave** is the Elliott/Wolfe-style timing score.
It uses:
| EWave Component | Points |
| --------------------------------------------- | -----: |
| Bullish trend context | 20 |
| Fib pullback / possible Wave 2 or Wave 4 zone | 20 |
| RSI bullish divergence | 20 |
| Stoch reset | 15 |
| Wolfe-like structure | 10 |
| Price action confirmation | 10 |
Maximum is **95**.
Dashboard examples:
| EWave | Meaning |
| ----------------------- | ------------------------ |
| **75+ / A** | Strong wave/timing setup |
| **60–74 / B Watch** | Setup is building |
| **40–59 / C Early** | Early or incomplete |
| **Under 40 / No Trade** | Weak timing setup |
Important: **EWave is only 8% of AGG now.**
That means it helps with timing, but it does not dominate the decision.
Best interpretation:
> EWave tells you whether the pullback/structure/timing looks constructive.
It does **not** mean “this is definitely Wave 3.”
---
# 4. CANSLIM
**CANSLIM** is a technical approximation of CANSLIM-style stock quality.
It does not use IBD’s proprietary EPS, sales, or fund ownership data. PulseWire cannot reliably recreate that from Pine.
Instead, it uses technical leadership proxies:
| CANSLIM Component | Points |
| ---------------------------- | -----: |
| RS vs benchmark | 20 |
| RS line near/new high | 15 |
| Distance from 52-week high | 15 |
| Volume vs average | 15 |
| Accumulation vs distribution | 15 |
| Pivot/base status | 20 |
Maximum is **100**.
Grades:
| CANSLIM Score | Grade | Meaning |
| ------------: | ----- | -------------------------------------- |
| **80+** | A | Strong CANSLIM-style technical profile |
| **65–79** | B | Good |
| **50–64** | C | Mixed |
| **Under 50** | Weak | Not acting like a leader |
This is now the **largest weight in AGG** at **21%**.
That’s intentional.
The dashboard is saying:
> Stock quality and leadership come first. Timing comes second.
---
# 5. RS
**RS** means relative strength versus the benchmark, currently defaulted to **QQQ**.
It compares the stock’s performance to QQQ over the selected lookback period.
Possible values:
| RS | Meaning |
| ---------- | ------------------------------------------------------------------------- |
| **Strong** | Stock is outperforming QQQ and its RS line is above its RS moving average |
| **OK** | Stock is outperforming QQQ, but not as strongly |
| **Weak** | Stock is underperforming QQQ |
Why this matters:
CANSLIM-style trading wants **leaders**, not laggards.
A stock with **RS Strong** is showing better demand than the market.
Best read:
| RS | Interpretation |
| ------------------ | ------------------------ |
| **Strong / green** | Good leader behavior |
| **OK / orange** | Acceptable but not elite |
| **Weak / red** | Caution |
---
# 6. 52W
**52W** shows how far the stock is from its 52-week high.
Example:
```text
-6.1%
```
Means the stock is 6.1% below its 52-week high.
Interpretation:
| 52W Distance | Meaning |
| ---------------: | ----------------- |
| **0% to -5%** | Very strong |
| **-5% to -15%** | Good / acceptable |
| **-15% to -25%** | Caution |
| **Below -25%** | Weak / damaged |
Why it matters:
CANSLIM usually prefers stocks near highs, not stocks buried far below highs.
A stock near highs is often showing institutional demand.
---
# 7. Vol
**Vol** shows current volume as a percentage of average volume.
Example:
```text
89%
```
Means current volume is 89% of the average volume.
Interpretation:
| Vol | Meaning |
| -------------- | --------------------------------------- |
| **140%+** | Strong demand / breakout-quality volume |
| **100–139%** | Decent |
| **Under 100%** | Light / not confirmed |
Why it matters:
A breakout or strong move is more convincing when volume expands.
For CANSLIM-style buying, strong volume gives confirmation that bigger buyers may be involved.
One note: on intraday bars or during the trading day, volume can look low until the day completes. On daily charts, interpret it best near/after the close.
---
# 8. Accum
**Accum** tries to detect whether the stock has more accumulation or distribution pressure.
It compares:
* Up days on above-average volume
* Down days on above-average volume
Possible values:
| Accum | Meaning |
| ----------- | ----------------------------------------------------- |
| **Accum** | More heavy-volume up days than heavy-volume down days |
| **Neutral** | No clear edge |
| **Distrib** | More heavy-volume down days than up days |
Why it matters:
CANSLIM cares about institutional accumulation.
A stock can look okay on price, but if it is under distribution, the setup is lower quality.
---
# 9. Pivot
**Pivot** tells you where price is relative to a recent breakout/base area.
It uses the recent high over the base lookback period as a rough pivot reference.
Possible values:
| Pivot | Meaning |
| --------------- | ---------------------------------------------- |
| **Breakout** | Price broke above pivot with strong volume |
| **Near Pivot** | Price is within about 5% below the pivot |
| **Above Pivot** | Price is above pivot, but volume is not strong |
| **Extended** | Price is more than about 5% above pivot |
| **Base Low** | Price is not near a useful pivot area |
Why it matters:
The best setups are often near proper buy areas.
For your dashboard:
| Pivot | Interpretation |
| ----------------------- | ------------------ |
| **Breakout / green** | Strong |
| **Near Pivot / orange** | Watch closely |
| **Extended / red** | Be careful chasing |
| **Base Low / gray** | Not actionable yet |
---
# 10. MR
**MR** means mean reversion / extension risk.
It measures how far price is from the fast EMA using ATR.
Example:
```text
Extended 1.73x ATR
```
Means price is 1.73 ATR above the fast EMA.
Possible values:
| MR | Meaning |
| ------------- | ---------------------------------------------------------- |
| **Discount** | Price pulled back below fast EMA but remains above mid EMA |
| **Normal** | Price is within normal range of fast EMA |
| **Extended** | Price is above normal range |
| **Stretched** | Price is too far extended |
| **Weak** | Price is below mid EMA |
| **n/a** | Not enough data |
Why this matters:
This row helps prevent chasing.
A stock can be strong but too extended for a fresh entry.
Important trigger rule:
```text
BUY TRIGGER cannot fire if MR = Stretched
```
That’s a guardrail.
Best read:
| MR | Interpretation |
| --------------------- | ------------------------ |
| **Discount / green** | Pullback zone |
| **Normal / neutral** | Healthy |
| **Extended / orange** | Be careful |
| **Stretched / red** | Probably not a fresh buy |
| **Weak / red** | Structure may be broken |
---
# 11. Trend
**Trend** gives the broader moving-average structure.
Possible values:
| Trend | Meaning |
| --------------- | ------------------------------------------------------------------- |
| **Bull Strong** | Price above mid EMA, fast EMA above mid EMA, mid EMA above long SMA |
| **Bull Basic** | Price and fast trend are above mid EMA |
| **Neutral** | Mixed |
| **Bear** | Price and averages are bearish |
This row is important because you generally want to buy pullbacks in strong trends, not fight broken charts.
Best setup:
```text
Trend = Bull Strong
```
---
# 12. Stoch
**Stoch** shows Stochastic momentum condition.
Possible values:
| Stoch | Meaning |
| ------------- | ------------------------------------------------------------ |
| **Reset** | Stoch recently got oversold/reset and is turning back up |
| **K>D** | Momentum is positive, but not necessarily from a fresh reset |
| **Roll Over** | Stoch was overbought and crossed down |
| **No Reset** | No useful signal |
Why this matters:
This came from the original HeidingOut-style method:
> Price action leads, Stoch/RSI confirm.
Best entry setup:
```text
Stoch = Reset
```
Caution setup:
```text
Stoch = Roll Over
```
But Stoch is only **2% of AGG** now because oscillators can be noisy.
---
# 13. Price
**Price** is one of the most important rows.
It checks whether price action has actually confirmed.
It requires:
* Higher-low structure
* Close above fast EMA
* Bullish candle
* Close above prior bar high
Possible values:
| Price | Meaning |
| ------------- | -------------------------------------------- |
| **Confirmed** | Price action supports the setup |
| **Waiting** | Setup may exist, but price has not confirmed |
This is weighted **12%** in AGG, which is high.
Why?
Because a setup without price confirmation is still just a possibility.
A BUY TRIGGER requires:
```text
Price = Confirmed
```
---
# 14. INV
**INV** is the invalidation level.
This is the key structural low from the detected impulse/pullback logic.
Plain English:
> If price closes below this level, the setup is probably broken.
Possible values:
| INV | Meaning |
| ----------- | --------------------------------- |
| Price level | Key invalidation reference |
| n/a | Not enough structure detected yet |
Important:
If price breaks below INV, ACTION becomes:
```text
INV
```
Invalidation overrides everything.
Even if RS is strong and CANSLIM is good, a broken structure means the setup has failed.
---
# 15. Target
**Target** shows the projected upside target and upside percentage.
It uses a **1.618 Fib extension** from the detected impulse.
Example:
```text
145.20 / +12.4%
```
Means:
* Potential target: 145.20
* Upside from current price: +12.4%
This is intentionally weighted only **1%** in AGG.
Why so low?
Because targets are estimates. Useful, but not reliable enough to drive the decision.
Use Target as:
> “Is there enough upside to justify the risk?”
Not as:
> “This will definitely go there.”
---
# How the AGG score thinks
The new AGG is intentionally biased toward objective leadership and confirmation.
Current hierarchy:
## Most important
* CANSLIM
* RS
* Price
* Trend
* Pivot
These answer:
> Is this a quality leader acting correctly?
## Middle importance
* 52W
* EWave
* Vol
* MR
These answer:
> Is it near highs, reasonably timed, supported by volume, and not too stretched?
## Lower importance
* Accum
* Stoch
* INV
* Target
These help, but do not dominate.
---
# How to read a good setup
A very good setup would look like:
| Row | Ideal |
| ------- | -------------------------- |
| ACTION | BUY TRIGGER |
| AGG | 80+ |
| EWave | 60+ |
| CANSLIM | 65+ |
| RS | Strong |
| 52W | Better than -15% |
| Vol | 100%+ or 140%+ on breakout |
| Accum | Accum |
| Pivot | Near Pivot or Breakout |
| MR | Normal or Discount |
| Trend | Bull Strong |
| Stoch | Reset or K>D |
| Price | Confirmed |
| INV | Below nearby structure |
| Target | Positive upside |
That is the kind of dashboard that says:
> This is worth real attention.
---
# How to read your ALAB screenshot
From your screenshot, the dashboard looked roughly like:
| Row | Reading |
| ------- | ------------------ |
| ACTION | WAIT |
| EWave | 40 / C Early |
| CANSLIM | 57 / C |
| RS | Strong |
| 52W | -6.1% |
| Vol | 89% |
| Accum | Accum |
| Pivot | Near Pivot |
| MR | Extended 1.73x ATR |
| Trend | Bull Strong |
| Stoch | K>D |
| Price | Waiting |
| Target | n/a |
That says:
**Good stock. Strong RS. Near highs. In a bullish trend. But not confirmed yet, volume is light, and price is a little extended.**
So **WAIT** makes sense.
It is not saying “bad stock.”
It is saying:
> Good candidate, but not a clean entry yet.
---
# The key dashboard philosophy
This is now the right structure:
## CANSLIM finds the leader
Rows:
* CANSLIM
* RS
* 52W
* Vol
* Accum
* Pivot
## EWave helps timing
Rows:
* EWave
* Stoch
* Price
* MR
## Risk/reward controls the trade
Rows:
* INV
* Target
* MR
## AGG combines it all
AGG answers:
> Overall, is this setup strong enough to act on?
---
# My simple decision rules
Use it like this:
## BUY TRIGGER
Only consider buying when:
* ACTION = BUY TRIGGER
* AGG is 80+
* Price is Confirmed
* MR is not Stretched
* INV is clear
* Target gives enough upside
## BUY WATCH
Put on watchlist when:
* ACTION = BUY WATCH
* RS is Strong
* CANSLIM is at least C/B
* Pivot is Near Pivot
* Price is Waiting
## WAIT
Do nothing when:
* Stock is good, but price is not confirmed
* MR is extended
* Volume is not there
* EWave is early
## TRIM / CAUTION
Consider trimming when:
* Stoch rolls over
* MR becomes Stretched
* Price action weakens after a run
## INV
Respect it.
If INV triggers, the setup is broken. Reassess from scratch.
Indicator
[3Commas] XRP Grid - Long Indicator XRP Grid - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on XRP / 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 XRP 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 1.5% 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 XRP 15m: Default bounds, level count, and step size are set against XRP's recent observed range. The 23-level geometric ladder gives roughly 1.5% per step — wide enough to clear 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 (1.5466 / 1.1124) was set against XRP'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 ~14.3-month sample (269 closed trades, 66.54% win rate, 5.78% max drawdown, profit factor 2.809, +9.52% net return), use the companion strategy version on identical parameters. The 269-trade sample is well above the ~100-trade floor for statistical relevance.
🔷 How to Use It:
🔸 Add the indicator to an XRP / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect XRP 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_XRP).
🔸 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.
__
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
[3Commas] XRP Grid Bot - Long Strategy XRP Grid Bot - Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on XRP / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 23 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 4.35% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on XRP in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy 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 1.5% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 23 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for XRP 15m: Default bounds, level count, and step size are set against XRP's recent observed range. The 23-level geometric ladder gives roughly 1.5% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
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 loading as price falls and won't close until price reverses. The default High/Low (1.5466 / 1.1124) was set against XRP's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~4.35% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~435 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.5% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; any mismatch will materially shift the results.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XRPUSDT.P (Perpetual) — strategy is portable to any XRP / USDT pair.
Timeframe: 15M
Test Period: April 1, 2025 — June 13, 2026 (~14.3 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 23 ≈ 435 USDT (~4.35% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 1.5466 / Low 1.1124 (range −28.07%).
Grid Levels: 23 (Geometric spacing, ~1.5% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +952.38 USDT (+9.52%)
Max Equity Drawdown: 662.20 USDT (5.78%)
Total Closed Trades: 269
Percent Profitable: 66.54% (179 / 269)
Profit Factor: 2.809
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect XRP to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful — this configuration produced 269 closed trades over the test window, well above the ~100-trade floor for statistical relevance.
🔸 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. 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): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
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, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
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. Strategy
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Unified Timed Signal Marker - Live Check Candle**English description summary:**
This indicator checks the 16:40 candle in Israel time, which is used as the signal candle for a potential 16:45 trade.
During the live 16:40 candle, the indicator updates in real time:
* If the candle is currently bullish and long trading is allowed for that day, it shows **LIVE LONG**.
* If the candle is currently bearish and short trading is allowed for that day, it shows **LIVE SHORT**.
* If no valid trade is allowed, it shows **LIVE NO TRADE**.
When the 16:40 candle closes, the signal becomes final and the indicator marks:
* **FINAL LONG**
* **FINAL SHORT**
* **FINAL NO TRADE**
The indicator also respects the configured weekday filters, Friday filters, and direction mode settings: Both, Long Only, or Short Only.
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Bitcoin Statistical Forecaster + Power Law [Gabremoku]Bitcoin Statistical Forecaster + Power Law combines two analytical layers into a single BTC-focused overlay.
The first layer is a statistical analog forecaster. It scans historical Bitcoin data and searches for the closest matches to the most recent pattern using a weighted multi-feature distance model based on candle structure, volatility, momentum, trend distance, and structural position relative to the Bitcoin power-law range.
The second layer is a long-term Bitcoin power-law framework built from three structural curves: Floor, Mid-Stair, and Fair Value. These curves are plotted directly from the power-law formula and are not altered by the forecasting engine.
The script is not a simple mashup of two unrelated tools. The power-law layer is used as structural context inside the forecaster itself: it contributes to analog selection, regime comparison, optional forecast anchoring, and optional probability adjustment. The goal is to make historical pattern matching more aware of where price is located inside Bitcoin’s broader long-term structure.
How the forecast works:
The script compares the latest pattern against historical BTC windows.
It keeps the best analogs according to the selected similarity method.
These analogs are separated into Bull, Central, and Bear groups using the final return at the selected forecast horizon.
For each step in the projection, each scenario path is built from the weighted average of its own analog group, so the paths remain internally coherent instead of mixing bullish and bearish trajectories.
An optional structural bias can softly pull projected prices toward the power-law range over time. This effect fades in progressively across the forecast horizon, so near-term projections are not abruptly distorted.
Scenario probabilities are derived from the same percentile thresholds used to build the Bull, Central, and Bear paths. This keeps the displayed percentages aligned with the projected paths shown on the chart.
The script is designed for daily Bitcoin charts and works best when enough historical data is available. It is a probabilistic context tool, not a prediction guarantee, and it should be used together with risk management and independent market analysis.
Suggested usage:
Use the power-law curves to identify long-term structural position.
Use the forecast paths to estimate how similar historical BTC conditions evolved.
Compare current price location, structural regime, and scenario probabilities before forming a directional bias.
Treat the output as a contextual model, not as a standalone trading signal. Indicator
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Fibonacci A-B-C Volles Strategie-Board(ENGLISH)
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The Fibonacci Betting-Playbook 062026: How to read the Strategy Board
If you want to succeed in the markets, you need more than just a gut feeling, you need a system that delivers crystal-clear odds. This script is your personal bookmaker dashboard directly on the chart. It scans price movements for a highly profitable pattern and shows you exactly when the risk-reward ratio is as good as a massively overpriced underdog quote in La Liga.
Here is the official manual for you and your users, so that everyone knows exactly how to read the signals and when it's better to keep your feet still.
The Game Plan: The A-B-C Formation
In the background, the script constantly scans for a specific market movement, the so-called A-B-C ZigZag. Think of it like the perfect set piece:
Point A (The Kickoff): The lowest point where the movement begins.
Point B (The First Goal): The first high point. The momentum is here.
Point C (The Tactical Pause): The price drops back slightly. Exactly here, in this pullback, we calculate our entry before the second half – the next big price breakout – begins.
As soon as the script recognizes this formation, it paints your playing field (the boxes) onto the chart.
Your Betting Odds: The Zones on the Board
When the setup is "hot", you will see two distinct boxes on your screen. They take the guesswork out of the equation and tell you exactly where you need to place your chips.
🟢 The Green Zone: The Entry (The Value Bets)
Here is where you build your position. If the price falls into this box, we have a statistical advantage (edge).
Line 0.500 (Initial Entry): The market has corrected half of its rally. Here you place your first, smaller bet.
Line 0.618 (Ideal Reload): This is the "Golden Ratio". The absolute sweet spot in the Fibonacci system. If the price drops here, you double down. The chance of a bounce is highest here.
Line 0.667 (The Last Bastion / STOP): The red dashed line. If the price falls below this, the setup is busted. The trade is canceled, you pull the ripcord, and accept the small loss. No hoping, no praying – strict bankroll management.
🟠 The Orange Zone: The Cashout (Taking Profits)
If the trade plays out and the price shoots up, this box shows you where the bookie opens the register.
Line 1.618 (Potential Turning Point): Your first target (Take Profit 1). Here you take a portion of your winnings off the table. Ring the register!
Line 1.809 (Trailing Stop-Loss): The price keeps running? Perfect. Trail your stop-loss to your entry price now. You are now riding a risk-free bet.
Line 2.000 (Massive Resistance): The absolute maximum. The air gets extremely thin up here. Take your remaining profit and close the position.
🔴 The VAR Signal: The Red Warning Box
Markets are often chaotic. If the script fails to recognize a clear A-B-C pattern, the stop-loss has been hit, or the target has already been reached, the system immediately deletes all lines from the chart.
Instead, a red box appears in the center: "CURRENTLY NO RECOMMENDATION POSSIBLE - WAIT FOR FURTHER CHART SIGNALS".
This is like a suspended betting market during a VAR check. Your only task at this moment: Do not trade. Keep your hands off the buy button. Wait patiently until the system builds the next profitable setup.
What you as a user must absolutely pay attention to (The Golden Rules)
Patience is your best croupier: Do not trade blindly just because the price is moving. Always wait until the boxes appear on the chart and the price dips into the green zone.
Respect the Stop-Loss (0.667): Even in the best Spanish casinos, you don't win every hand. If the red line is breached, close the trade on Trade Republic immediately. Whoever hesitates here gambles away their bankroll.
Split your stakes: Do not wager your entire capital at the 0.500 line. Make a partial entry and keep your powder dry in case the price drops to the golden 0.618 line. This massively improves your average entry price.
Secure your profits: When the price reaches the orange 1.618 line, do not get greedy. Take a partial profit. Nothing is more frustrating than turning a fat paper profit back into a loss.
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[3Commas] XAUT RSI Reversal DCA - Short Strategy XAUT RSI Reversal DCA - Short Strategy
🔷 What it does:
This is a short-only DCA strategy that fades overbought momentum on XAUT / USDT (Tether Gold). A short deal opens when the 3-minute RSI(9) crosses down through 80 — a momentum-exhaustion signal after a fast push higher. Up to three averaging orders then fill at fixed deviations ABOVE the base entry (+1%, +2%, +3%) with uniform sizing, pulling the average entry up if price keeps rising. Exit is a 1.3% Take Profit from the average entry with a 0.3% trailing retrace, and a hard 8% Stop Loss caps the downside.
- Single base order plus up to three uniform averaging orders on a fixed +1% / +2% / +3% ladder.
- Tight 1.3% Take Profit with a 0.3% trailing lock — captures the mean-reversion snap-back, then trails to squeeze a little extra.
- Hard 8% Stop Loss closes the trade if the short keeps running against the position — a real, bounded per-trade risk.
- Every entry, averaging order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Intraday traders fading overbought spikes on gold-pegged XAUT on lower timeframes.
- Bot operators who want to drive a DCA Bot short deal from PulseWire alerts with per-event JSON payloads.
- Traders who want a mechanical short with a defined stop, modest averaging, and a quick profit target rather than an open-ended hold.
- Operators looking for a low-correlation, short-side contributor (a gold-tracking asset) alongside crypto strategies.
🔷 How does it work:
Entry Trigger: A 3-minute RSI(9) is sampled via request.security with lookahead disabled (no repaint). The base short opens when that RSI crosses DOWN through 80 — i.e., the prior 3m close was ≥ 80 and the current is below it, marking the moment overbought momentum rolls over.
Base Order: Sized at 500 USDT default (5% of 10k capital), placed as a Limit order at the signal bar's close (Market toggle available).
Averaging Orders (Uniform DCA Ladder): After the base fill, the strategy monitors price deviation above the base entry. Each averaging order has a fixed deviation — +1%, +2%, +3% — with uniform sizing (250 USDT each, half the base). If price rises against the short, each rung adds size and raises the average entry, so a smaller reversal is needed to reach Take Profit.
Exit (TP + Trailing): A 1.3% Take Profit below the running average entry arms a trailing exit. Once price trades through the TP level, the strategy tracks the in-favor low and closes when price retraces 0.3% off that low — locking the move while letting it extend.
Stop Loss: A hard 8% Stop Loss above the average entry. If price runs against the short past that level, the position closes at market. This is the strategy's defined, bounded per-trade risk.
🔷 Why it's unique:
- Momentum-Exhaustion Trigger: Rather than shorting any overbought reading, the deal opens specifically on the RSI crossing DOWN through 80 — the rollover moment — which filters out trades that fire while momentum is still climbing.
- Defined-Risk DCA: Most martingale DCA shorts run without a stop. This one keeps a modest 3-rung uniform ladder AND an 8% hard stop, so the worst-case loss per deal is bounded and known in advance.
- Trailing Take Profit: The 1.3% target arms a 0.3% trailing exit rather than a fixed limit — capturing the reversion snap and then riding any follow-through.
- DCA Bot Integration: Every event (base, AO 1–3, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size (Important): The backtest produced only 25 closed trades — far below the ~100-trade floor for statistical relevance. The 100% win rate and the undefined profit factor (no losing trades in the sample) are a direct consequence of this tiny, favorable window — they are NOT evidence of a deterministic edge and should not be extrapolated. Treat these numbers purely as a demonstration of the mechanic, run the strategy over a much longer window and across multiple assets, and expect losing trades in any realistic sample.
Short Execution Venue: This is a short strategy. It cannot be executed on a spot account — live shorting of XAUT requires a margin or perpetual venue. Backtest figures shown here were generated on the XAUTUSDT chart; confirm your live venue supports shorts before deploying.
Lower-Timeframe Sensitivity: Tested on a 3-minute chart with a 3-minute RSI trigger. Lower timeframes generate more signals but are more sensitive to noise and fees. Confirm trade frequency and fee drag fit your execution venue.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With the base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of default equity); an 8% stop on that position bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled — removing it converts this into an unbounded martingale short.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong, sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this.
Commission Calibration: The default 0.06% commission is calibrated for Bybit perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: XAUTUSDT — short execution requires a margin or perpetual venue.
Timeframe: 3M chart (3M RSI trigger).
Test Period: March 16, 2026 — June 12, 2026 (~2.9 months).
Initial Capital: 10,000 USDT.
Order Size: 500 USDT base (5%) + 3 averaging orders of 250 USDT each (uniform).
Max Capital Deployed: ~1,250 USDT per trade (~12.5% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Short Positions: 100% (1× leverage, Isolated in source config).
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Limit by default (Market toggle available).
Entry Trigger: 3m RSI(9) Crossing Down 80.
Averaging Orders: 3 with fixed deviations +1% / +2% / +3% above base entry; uniform 250 USDT sizing.
Take Profit: 1.3% below average entry, with 0.3% trailing.
Stop Loss: 8% above average entry (hard close).
Strategy: Short Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance. This is a small (25-trade) sample — see the Sample Size note above.
Net Profit: +124.66 USDT (+1.25%)
Max Equity Drawdown: 83.27 USDT (0.83%)
Total Closed Trades: 25
Percent Profitable: 100.00% (25 / 25)
Profit Factor: n/a — no losing trades in this small sample (profit factor undefined)
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the averaging-order count/deviation/size, the RSI trigger level, the Take Profit and Trailing percentages, and the Stop Loss. Defaults mirror the source DCA Bot configuration — recalibrate per asset and timeframe.
🔸 Results Review: This configuration produced only 25 closed trades with no losers — far too few to be statistically meaningful. Extend the backtest window substantially and/or test across multiple assets before drawing any conclusion; expect a realistic win rate well below 100% over a larger sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the 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 strategy will emit JSON payloads for entry, each averaging order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the initial short.
Use LIMIT for Base: Toggle between Limit (default) and Market entry.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The 3m RSI(9) crossing-down trigger for the base short.
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, 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
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