This strategy captures strong bullish momentum by combining a 200-period SMA baseline, a custom Bollinger Band, the True Strength Index (TSI) smoothed with WMAs, and the ADX trend strength indicator. It initiates long positions when price is above the 200 SMA,
Strategy · Pine Script v5 · Own pane
ETHBTC MTPI
ETHBTC MTPI is a multi-indicator trend-following strategy designed for crypto pairs to determine relative market strength.
GitHub stars1on the repository
Pine versionv5runs as is
Lines of code380
Settings33inputs
LicenceNone stated
Last update1 year ago27 Apr 2025
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
ETHBTC MTPI combines up to five toggleable components: Liquidity-Weighted Supertrend, dual exponential moving averages, DEMA Supertrend, DEMA AFR, and Non-Linear Regression. The strategy generates long or short entries based on the combined directional bias and plots in a separate pane. Users can customize indicator parameters, toggle individual sub-indicators, and select trade modes. By default, the strategy operates without hard stop-loss or take-profit exits.
- Liquidity-Weighted Moving Average and Supertrend
- Toggleable DEMA Supertrend and DEMA AFR
- Non-Linear Regression signal smoothing
- Configurable trade modes for Long Only or Long and Short
Details
Published by
Mikelkulla on GitHub
Type
Draws
Separate pane below the chart
Category
Markets
Timeframes
Any timeframe
Risk Notes
- The strategy enters trades without a stop loss
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Start Date | time | timestamp("2020-01-01") | startDate |
| Trade Mode | string | Long and Short | tradeMode |
| Enable LWST | bool | true | lwst_enabled |
| Enable Michael's EMA | bool | true | ema_enabled |
| Enable DEMA Supertrend | bool | true | dema_enabled |
| Enable Dema AFR | bool | true | afr_enabled |
| Enable Non-Linear Regression | bool | true | nlr_enabled |
| Supertrend Type | string | Smoothed | supertrendType |
| Factor | float | 1.49 | Factor2 |
| Supertrend Length | int | 33 | Pd2 |
| Fast MA Length | int | 19 | fast |
| Slow MA Length | int | 42 | slow |
Show all 33 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| EMA Small - Value | int | 24 | emaS_value |
| EMA Big - Value | int | 42 | emaB_value |
| Arrow Up Color | color | color.green | arrowColorUp |
| Arrow Down Color | color | color.red | arrowColorDown |
| Arrow Size | int | 50 | arrowSize |
| Supertrend Len | int | 4 | dema_subject |
| Supertrend Multiple | float | 4.05 | dema_mul |
| DEMA Length | int | 9 | dema_demalen |
| DEMA Source | source | hlc3 | dema_src |
| Dema Len | int | 8 | afr_dema_len |
| Dema Source | source | close | afr_src |
| Period | int | 14 | afr_p |
| Factor | float | 1.7 | afr_atr_factor |
| Normalization Data Length | int | 50 | nlr_len |
| Learning Rate | float | 0.1 | nlr_learningRate |
| Smooth? | bool | true | nlr_smooth |
| Smooth Length | int | 5 | nlr_smooth_len |
| Coefficient b1 (close) | float | 0.5 | nlr_b1 |
| Coefficient b2 (open) | float | 0.4 | nlr_b2 |
| Coefficient b3 (high) | float | 0.35 | nlr_b3 |
| Coefficient b4 (low) | float | 0.25 | nlr_b4 |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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