gavindiaz/QuanTAlib
1
0
Fork 0
mirror of https://github.com/mihakralj/QuanTAlib.git synced 2026-08-12 23:58:04 +00:00
Code Issues Packages Projects Releases Wiki Activity

ZSCORE

Browse Source
This commit is contained in:
Miha Kralj
2022-11-15 16:22:07 -08:00
parent 85b2b3b2f9
commit 80d82e5863
8 changed files with 149 additions and 143 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/.md
-87
View File
@@ -1,87 +0,0 @@
## 1. Prepare the Peloton tablet
Stop Peloton overlay app:
- tap on Settings in the top right corner and select Device Settings
- tap Apps and scroll down to find and tap Peloton app (not Peloton Launcher, just Peloton)
- tap FORCE STOP to stop the app overlay
- confrm by tapping OK
Turn on developer mode
- return to Settings page
- tap About tablet in System section
- tap Build number repeatedly until you activate developer mode
Enable USB debugging
- return to Settings page
- tap (now visible) Developer options in System section
- scroll down to find USB Debugging option
- Enable USB debugging
- Confirm by tapping OK
## 3. Prepare the PC with Zwift/Rouvy
- Create your Splashtop account https://my.splashtop.com/login
- Download and install Splashtop Streamer https://www.splashtop.com/downloads#pers
- Download Android Platform Tools https://developer.android.com/studio/releases/platform-tools
- Download Nova launcher APK (or any other launcher that works on Android 7) https://apkpure.com/nova-launcher/com.teslacoilsw.launcher/download/62019-APK
- Download Splashtop APK https://apkpure.com/splashtop-personal-access/com.splashtop.remote.pad.v2
- Unzip Android tools into a new folder
- move both APKs to the same folder
- Run Command Prompt (CMD) and move to the same folder
- Launch Android Debuging Bridge: adb start-server
- Connect PC and Peloton tablet with USB cable
- Peloton tablet will check for confirmation; Accept debugging over USB
- Verify connectivity on PC in the Command window: adb devices
## 4. Side-load APKs
- Execute the following three commands on PC:
adb shell settings put secure install_non_market_apps 1
adb install <name_of_nova_launcher.apk>
adb install <name_of_splashtop.apk>
- Disconnect USB cable
- On Peloton tablet tap Peloton 'P' logo at the bottom
- Select Nova as a default launcher
- Accept all defaults for Nova launcher - you can customize it later
- (optional) Bring Peloton and Splashtop icons to the main page of Nova launcher
- Choosing Peloton launches Peloton app; Choosing Splashtop launches Splashtop app
- Swiping down from the top of the screen reveals the hidden 'P' launcher button
## 5. Connect Peloton tablet and PC
- Launch Splashtop app on Peloton tablet
- Login with Splashtop credentials
- Connect to PC that runs Splashtop streamer (and Zwift/Rouvy)
- Launch Zwift/Rouvy
## 5. Enable sensors
- (optional): buy ANT+ USB dongle https://www.amazon.com/s?k=ant%2B+USB+stick
Peloton Tread:
Speed: Runn https://npe-inc.com/runn-smart-treadmill-sensor-2/
(or Stryd https://www.stryd.com/us/en)
Cadence: Garmin foodpod (or Stryd)
Heartrate: any HR monitor (BT or ANT+) https://www.amazon.com/s?k=bluetooth+HR+monitor
Power: Stryd
Peloton Bike (gen1):
Power & Cadence: DFC (Data Fitness Connector) https://www.crowdsupply.com/intelligenate/data-fitness-connector
Heartrate:vany HR monitor (BT or ANT+)
## 6. Navigation
Nova is now a default launcher on Android tablet, but on Tread we need to run Peloton app in the background to prevent locking of treadmill:
- Launch Peloton app
- Swipe down from the top and return to Nova launcher
- Launch Splashtop app
- Connect to PC
- Launch Zwift or Rouvy
- Connect all sensors
- Run/Ride!
docs/readme.md
+28 -28
View File
@@ -38,13 +38,13 @@ See [Getting Started](https://github.com/mihakralj/QuanTAlib/blob/main/Docs/gett
| **BASIC TRANSFORMS** | **QuanTAlib** | **TA-LIB** | **Skender** | **Pandas TA** |
|--|:--:|:--:|:--:|:--:|
| ⭐ OC2 - (Open+Close)/2 |️ `.OC2` || CandlePart.OC2 ||
| ⭐ HL2 - Median Price | `.HL2` | MEDPRICE | CandlePart.HL2 ||
| ⭐ HLC3 - Typical Price | `.HLC3` | TYPPRICE | CandlePart.HLC3 ||
| ⭐ HL2 - Median Price | `.HL2` | MEDPRICE | CandlePart.HL2 | hl2 |
| ⭐ HLC3 - Typical Price | `.HLC3` | TYPPRICE | CandlePart.HLC3 | hlc3 |
| ⭐ OHL3 - (Open+High+Low)/3 | `.OHL3` || CandlePart.OHL3 ||
| ⭐ OHLC4 - Average Price | `.OHLC4` | AVGPRICE |️ CandlePart.OHLC4 ||
| ⭐ OHLC4 - Average Price | `.OHLC4` | AVGPRICE |️ CandlePart.OHLC4 | ohlc4 |
| ⭐ HLCC4 - Weighted Price | `.HLCC4` | WCLPRICE | CandlePart.HLCC4 ||
| ⭐ MIDPOINT - Midpoint value | `MIDPOINT_Series` | MIDPOINT |||
| ⭐ MIDPRICE - Midpoint price | `MIDPRICE_Series` | MIDPRICE |||
| ⭐ MIDPOINT - Midpoint value | `MIDPOINT_Series` | MIDPOINT || midpoint |
| ⭐ MIDPRICE - Midpoint price | `MIDPRICE_Series` | MIDPRICE || midprice |
| ⭐ MAX - Max value | `MAX_Series` | MAX |||
| ⭐ MIN - Min value | `MIN_Series` | MIN |||
| ⭐ SUM - Summation | `SUM_Series` | SUM |||
@@ -63,54 +63,54 @@ See [Getting Started](https://github.com/mihakralj/QuanTAlib/blob/main/Docs/gett
| ⭐ MAD - Mean Absolute Deviation | `MAD_Series` || GetSma | mad |
| ⭐ MAPE - Mean Absolute Percent Error | `MAPE_Series` || GetSma ||
| ⭐ MED - Median value | `MED_Series` ||| median |
| ✔️ MSE - Mean Squared Error | `MSE_Series` || GetSma ||
| ⛔ SKEW - Skewness |||||
| ⭐ SDEV - Standard Deviation (Volatility) | `SDEV_Series` | STDDEV |||
| ✔️ SSDEV - Sample Standard Deviation | `SSDEV_Series` ||||
| ⭐ MSE - Mean Squared Error | `MSE_Series` || GetSma ||
| ⛔ SKEW - Skewness |||| skew |
| ⭐ SDEV - Standard Deviation (Volatility) | `SDEV_Series` | STDDEV | GetStdDev | stdev |
| ⭐ SSDEV - Sample Standard Deviation | `SSDEV_Series` ||| stdev |
| ✔️ SMAPE - Symmetric Mean Absolute Percent Error | `SMAPE_Series` ||||
| ⭐ VAR - Population Variance | `VAR_Series` | VAR || variance |
| ⭐ SVAR - Sample Variance | `SVAR_Series` ||| variance |
| ⛔ QUANT - Quantile |||||
| ⛔ QUANTILE - Quantile |||| quantile |
| ✔️ WMAPE - Weighted Mean Absolute Percent Error | `WMAPE_Series` ||||
| ⛔ ZSCORE - Number of standard deviations from mean |||||
| ⭐ ZSCORE - Number of standard deviations from mean | ZSCORE_Series || GetStdDev | zscore |
||||||
| **TREND INDICATORS & AVERAGES** | **QuanTAlib** | **TA-LIB** | **Skender** | **Pandas TA** |
| ⛔ AFIRMA - Autoregressive Finite Impulse Response Moving Average |||||
| ⭐ ALMA - Arnaud Legoux Moving Average | `ALMA_Series` || GetAlma ||
| ⭐ ALMA - Arnaud Legoux Moving Average | `ALMA_Series` || GetAlma | alma |
| ⛔ ARIMA - Autoregressive Integrated Moving Average |||||
| ⭐ DEMA - Double EMA Average | `DEMA_Series` | DEMA | GetDema | dema |
| ⭐ EMA - Exponential Moving Average | `EMA_Series` || GetEma | ema |
| ⛔ EPMA - Endpoint Moving Average ||| GetEpma ||
| ⛔ FRAMA - Fractal Adaptive Moving Average |||||
| ⛔ FWMA - Fibonacci's Weighted Moving Average |||||
| ⛔ HILO - Gann High-Low Activator |||||
| ⛔ FWMA - Fibonacci's Weighted Moving Average |||| fwma |
| ⛔ HILO - Gann High-Low Activator |||| hilo |
| ✔️ HEMA - Hull/EMA Average | `HEMA_Series` ||||
| ⛔ Hilbert Transform Instantaneous Trendline || HT_TRENDLINE | GetHtTrendline ||
| ⭐ HMA - Hull Moving Average | `HMA_Series` || GetHma | hma |
| ⛔ HWMA - Holt-Winter Moving Average |||||
| ✔️ JMA - Jurik Moving Average | `JMA_Series` ||||
| ⛔ HWMA - Holt-Winter Moving Average |||| hwma |
| ✔️ JMA - Jurik Moving Average | `JMA_Series` ||| jma |
| ⭐ KAMA - Kaufman's Adaptive Moving Average | `KAMA_Series` | KAMA | GetKama | kama |
| ⛔ KDJ - KDJ Indicator (trend reversal) |||||
| ⛔ KDJ - KDJ Indicator (trend reversal) |||| kdj |
| ⛔ LSMA - Least Squares Moving Average |||||
| ⭐ MACD - Moving Average Convergence/Divergence | `MACD_Series` | MACD | GetMacd ||
| ⭐ MACD - Moving Average Convergence/Divergence | `MACD_Series` | MACD | GetMacd | macd |
| ⛔ MAMA - MESA Adaptive Moving Average || MAMA | GetMama ||
| ⛔ MCGD - McGinley Dynamic |||||
| ⛔ MCGD - McGinley Dynamic |||| mcgd |
| ⛔ MMA - Modified Moving Average |||||
| ⛔ PPMA - Pivot Point Moving Average |||||
| ⛔ PWMA - Pascal's Weighted Moving Average |||||
| ⛔ PWMA - Pascal's Weighted Moving Average |||| pwma |
| ⭐ RMA - WildeR's Moving Average | `RMA_Series` ||| rma |
| ⛔ SINWMA - Sine Weighted Moving Average |||||
| ⛔ SINWMA - Sine Weighted Moving Average |||| sinwma |
| ⭐ SMA - Simple Moving Average | `SMA_Series` | SMA | GetSma | sma |
| ⭐ SMMA - Smoothed Moving Average | `SMMA_Series` || GetSmma ||
| ⛔ SSF - Ehler's Super Smoother Filter |||||
| ⛔ SUP - Supertrend |||||
| ⛔ SWMA - Symmetric Weighted Moving Average |||||
| ⛔ T3 - Tillson T3 Moving Average || T3 | GetT3 ||
| ⛔ SSF - Ehler's Super Smoother Filter |||| ssf |
| ⛔ SUPERTREND - Supertrend |||| supertrend |
| ⛔ SWMA - Symmetric Weighted Moving Average |||| swma |
| ⛔ T3 - Tillson T3 Moving Average || T3 | GetT3 | t3 |
| ⭐ TEMA - Triple EMA Average | `TEMA_Series` | TEMA | GetTema | tema |
| ⭐ TRIMA - Triangular Moving Average | `TRIMA_Series` | TRIMA |||
| ⭐ TRIMA - Triangular Moving Average | `TRIMA_Series` | TRIMA || trima |
| ⛔ TSF - Time Series Forecast || TSF |||
| ⛔ VIDYA - Variable Index Dynamic Average |||||
| ⛔ VOR - Vortex Indicator |||||
| ⛔ VIDYA - Variable Index Dynamic Average |||| vidya |
| ⛔ VORTEX - Vortex Indicator |||| vortex |
| ⭐ WMA - Weighted Moving Average | `WMA_Series` | WMA | GetWma | wma |
| ⭐ ZLEMA - Zero Lag EMA Average | `ZLEMA_Series` ||| zlma |
||||||