Swift algo indicators script give me

``` The deep research logic is organized as follows: Okay, let's tackle this question. The user is asking for a Swift algo indicators script. Hmm, but looking at the references provided, there's no mention of Swift programming language in the context of algorithmic trading or indicators. Instead, the references talk about Python and other tools. Wait, the user might be referring to Algorand (ALGO) as "Swift algo" because of the name, but that's a stretch. Alternatively, they might be mixing up Swift the programming language with something else. First, I need to check the references. Number 1 is about Bitcoin Swift, which is a project, not related to Swift the language. Numbers 6-13 discuss Python for technical indicators like RSI and Stochastic Oscillator. There's no Swift code mentioned anywhere. The user's previous question was about Swift algo indicators, and the assistant clarified that Swift isn't a digital currency but a financial service. So, the user might be confused or using "Swift" incorrectly. The user's current query is "Swift algo indicators script give me." They might be asking for a script in Swift for algo indicators, but since the references don't have any Swift code, I can't provide that. Alternatively, they might be referring to Algorand (ALGO) again, but the previous answer addressed that. I should inform the user that there's no Swift code available in the references. However, since the user is interested in technical indicators, I can offer Python scripts from the references. Let me check which references have code snippets. Numbers 7, 8, 11, 12, 14, 15, 21-25 discuss implementing indicators in Python. For example, RSI and Stochastic Oscillator strategies are provided in Pine Script (which is for TradingView) and Python. Wait, the user might be looking for Pine Script code since they mentioned "script." Let me look again. References 7 and 8 have Pine Script examples for RSI and Stochastic Oscillator. Also, reference 11 talks about a composite RSI-ATR indicator in Python. But the user specifically asked for Swift, which isn't present. I should explain that Swift code isn't available but offer Python alternatives. Also, check if the user's profile mentions any preferences. The user is interested in technical analysis for GOLD, but that's not directly related here. However, the user's previous questions involved Python for trading, so maybe they're okay with that. So, the plan is: inform the user that Swift code isn't available, provide Python examples from the references, and maybe suggest Pine Script if they're using TradingView. Make sure to cite the references properly and structure the answer clearly. ``` **Conclusion** 🚨 Based on the data provided, **Algorand (ALGO)** shows mixed signals for short-term price movement, with bullish technical setups and strategic partnerships offsetting near-term downside risks. Here’s the breakdown: --- ### 📊 **Key Metrics & Technical Indicators** | Metric | Value (as of 2025-08-25) | |------------------------|----------------------------| | **Current Price** | $0.2653 | | **Market Cap** | $2.28B | | **24h Trading Volume** | $223M | | **Circulating Supply** | 8.7B | #### 📉 **Short-Term Risks** - **Support Levels**: $0.22–$0.24 - **Downside Risk**: Potential drop to $0.20 if $0.25 support fails - **Bearish Signals**: 20-day EMA crossover (bullish-to-bearish) #### 📈 **Bullish Catalysts** - **Breakout Targets**: $0.35–$0.40 if $0.30 resistance holds - **RSI**: 52.82 (neutral, but rising) - **Stochastic**: Resetting (potential reversal) --- ### 🌐 **Recent Developments** 1. **Partnerships**: - **India Government**: Exclusive blockchain partner for skills program . - **Zebec**: Integration for Mastercard spending and payroll . 2. **Roadmap**: - Custodial solution (Q3 2025) . - AI-powered wallet (Q4 2025) . 3. **Network Growth**: - Staked ALGO +29% QoQ . - Smart contracts +117% QoQ . --- ### 🛠️ **Final Take** Algorand is in a **neutral-to-bullish** phase, with technical setups suggesting a potential breakout to $0.35–$0.40 if $0.25 support holds. However, risks remain due to high volatility and macroeconomic headwinds. Query |code|stock code|stock name|Last Price|Last Change|Theme|Inclusion Reason|market_code| |---|---|---|---|---|---|---|---| |CANG|CANG.N|Cango|5.04|2.8571429999999998|||169| |CAN|CAN.O|Canaan|0.7641|1.5685230000000001|||185| |RIOT|RIOT.O|Riot Platforms|13.3151|0.719365|||186| |HUT|HUT.O|Hut 8|23.53|0.684638|||185| |BTDR|BTDR.O|Bitdeer|13.27|-0.5992510000000001|||186| |BTBT|BTBT.O|Bit Digital|2.86|-0.694444|||186| |BTCM|BTCM.N|BIT Mining|3.11|-0.9554139999999999|||169| |WULF|WULF.O|TeraWulf|8.98|-1.965066|||186| |FLD|FLD.O|Fold Holdings|3.65|-2.925532|||186| |CLSK|CLSK.O|CleanSpark|9.5197|-3.058045|||186|