Search in scripts for "a股板块+沪深两市+股价不超过10元的股票+技术形态好"
10 EMA + 20 EMA + Previous Day High/Low (Day-Bounded)it gives the reand and also plot the day's lowest volume.it is very helpful in reversals
10/21 EMA + 50/200 Daily SMAAll four relevant moving averages in one script to allow you to add move indicators.
10MAs + BB10 MAs riboon + Bollinger Bands
I used two basic Multiple MA ribbons. so I just merge them to one indicaotor
10-2 Year Treasury Yield Spread by zdmreLong-term bond yield reflects inflation. Short-term bond yields are tools used to predict Fed's interest rate policy. Spread between the two represents four cycles of an economy.
1. Growth
Short-term yield rises as interest rates rise. Spread narrows.
2. Slow growth
Central bank raises interest rates faster and short-term yield exceeds long-term yield. Spread turns negative.
3. Recession
High interest rates lead to more defaults. Inflation caps consumption. Central bank lowers interest rate to stimulate the economy and short-term yield falls. Spread widens.
4. Recovery
Central bank continues easing. Spread remains wide and yield curve remains steep.
0 = Recession Risk
2.6 = Recovery Plan
DYOR
6 Figures Scalping 2x MACD10-11-2019
This script plots a double MACD in a new indicator pane
The default settings:
Pink = STD MACD , settings 12-26-9
Green - Fast MACD, settings 5-15-1
The MACD settings can be changed in the indicators setting window
10/20/50/100/200 SMA'sMultiple MA's to get a good feel for momentum and interim supports and resistances
Moving Average x10 (SMA, EMA)10 configurable Simple and Exponential moving averages combined in one indicator
SMA RIBBON10 SMA's arranged in a ribbon. Color coded depending on price close. Free to use, open source. As seen in some charts.
10Y Bond Yield Spread (beta)10-Year Bond Yield Spread using Quandl data
See also:
- seekingalpha.com
- www.babypips.com
- www.forexfactory.com
10 Simple & 6 Exponential Moving Averages (w/ 18 day,week,month)* This is for the trader who wants tons of moving averages on their chart from one indicator
* Using the options, you should be able ot turn off some of them if the screen is too noisy for you
* You should also be able to change colors and thickness of the bars
* The thicker bars are for longer term averages
* This version is similar to my other script except it adds the 18 day, 18 week, and 18 Month SMa
* I added them after watching ira Epstein's YouTube videos
* Let me know if there are any bugs or things that need to be change
Price Channel Strategy (Short Only)Please follow my x account to get more info:@CTF_bule_lotus
1. Core Logic: Price Channel Breakout (Downside)
The strategy uses one structural signal:
Lowest Low of the past 20 bars.
When the market breaks below this 20-bar low, a stop entry is triggered to open a short position.
Key design principles:
No prediction
No attempt to call tops
Pure reaction to market-confirmed downward momentum
This makes the strategy a clean representation of short-term downside inertia.
2. Directional Constraint: Short Only
This version trades only short positions, with no long exposure.
Rationale:
To isolate and study ETH’s microstructure during downside moves
To avoid noise from symmetric long/short signal conflicts
To treat this model as part of a controlled long–short comparative study
By eliminating long trades, the strategy provides clearer insight into bearish breakout behavior.
3. Risk Management: Fixed TP / SL
Immediately after entry, two fixed exit conditions are defined:
Take Profit: +10 price units
Stop Loss: –10 price units
Both values automatically convert into tick units using syminfo.mintick.
This reflects a classic scalping pattern:
Small but frequent profits
Fast stop-outs
High turnover
Sensitivity to short bursts of momentum
Such fixed exits are useful for analyzing whether short-lived selloffs contain exploitable structure.
4. Transaction Costs
For this specific analysis, transaction fees are intentionally excluded.
This allows:
A clearer view of the raw statistical edge
Isolation of pure signal behavior
Direct comparison with fee-inclusive results in prior tests
The fee-free backtest highlights the “theoretical edge” before real-market frictions are applied.
5. Data & Testing Window (2016–2025)
The model is tested on the complete ETH dataset from 2016 to 2025, without subjective filtering:
No removal of black swan events
No skipping flash crashes
No curve-fitting on sub-periods
This ensures the results reflect ETH’s full structural history, both stable and chaotic.
6. Interpretation & Research Value
This strategy is not presented as a predictive or production-ready trading system.
Its value lies in research utility:
Understanding ETH’s short-term downward momentum
Validating breakout-based scalping structures
Generating baseline data for more complex models
Supporting long-only vs. short-only comparative system design
Removing fees helps quantify the signal strength itself, while fee-inclusive tests can later show how much of that edge survives realistic trading conditions.
