### 3. **Public GitHub Repositories and Free Open-Source Bots**
- **Freqtrade**: An open-source, free crypto trading bot that supports backtesting and works with multiple exchanges. It’s Python-based and includes a strategy library.
- GitHub link: [freqtrade](https://github.com/freqtrade/freqtrade)
- **ZenBot**: Another open-source bot for cryptocurrency scalping, written in Node.js. It’s older and may need modifications to work with updated exchanges, but it can be a good starting point for customization.
- GitHub link: [ZenBot](https://github.com/DeviaVir/zenbot)

### 4. **Backtesting and Refining Strategies**
- Before running a bot live, use free backtesting platforms like TradingView or tools like **Backtrader** in Python.
- Run simulations to test your strategy over historical data, and tweak parameters (e.g., time intervals, stop-loss, and take-profit levels) to improve its effectiveness.

### 5. **Free Broker APIs with Paper Trading**
- **Alpaca**: Offers free stock trading with paper trading accounts, where you can run and test your strategies without risking real money.
- **Interactive Brokers**: Offers a demo account with API access, where you can simulate trades before going live.

### 2. **Free Python Libraries and Bot Frameworks**
- Libraries like **ccxt** (for cryptocurrency exchanges), **alpaca-trade-api** (for stocks), or **ib_insync** (for Interactive Brokers) allow you to connect to broker APIs, retrieve data, and place orders.
- **Sample Strategy Using Moving Averages in Python**:

python

 import ccxt

 import time



 exchange = ccxt.binance() # Replace with any other exchange supported by ccxt

 exchange.apiKey = 'YOUR_API_KEY'

 exchange.secret = 'YOUR_SECRET'



 def get_price(symbol):

 ticker = exchange.fetch_ticker(symbol)

 return ticker['last']



 def scalping_strategy(symbol):

 prices = []

 while True:

 price = get_price(symbol)

 prices.append(price)



 # Simple moving average scalping strategy

 if len(prices) > 5: # SMA period

 sma = sum(prices[-5:]) / 5

 if price > sma:

 print(f"Buy signal for {symbol} at {price}")

 # exchange.create_market_buy_order(symbol, 0.001) # Uncomment to trade

 elif price < sma:

 print(f"Sell signal for {symbol} at {price}")

 # exchange.create_market_sell_order(symbol, 0.001) # Uncomment to trade

 time.sleep(60) # 1-minute intervals



 scalping_strategy('BTC/USDT')

 

- This script pulls prices from an exchange, calculates a 5-period SMA, and prints buy/sell signals based on price movement above or below the SMA.

A free scalping bot for trading is challenging to find because of the complexity involved in building, testing, and maintaining an effective scalping strategy. However, if you're comfortable with some coding, there are ways to create a basic bot or use free resources to help automate parts of your scalping strategy. Here’s a breakdown of free options and steps you could take:

### 1. **Using Pine Script on TradingView**
- TradingView’s **Pine Script** allows you to code and backtest simple strategies, including scalping strategies, on their platform.
- **How to Get Started**:
1. Open TradingView and go to the Pine Script editor.
2. Write a basic scalping strategy that buys or sells based on conditions (like moving averages, RSI, or MACD signals).
3. Run the strategy in backtesting mode to see its performance.
- While TradingView does not directly execute trades, it’s a great platform for developing and testing scalping strategies. You can then integrate alerts to send webhooks (as described in the previous message) to a broker API if you want to automate it.