#StopLossStrategies Risk to reward ratio #Sol now price $1 | MrGhantol on Binance Square

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#StopLossStrategies Risk to reward ratio
#Sol now price $129 
Entry price 129
Stop loss 132
take profit 122
2TP 115

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SOL

148.74

-0.08%

88

0

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$BTC Investing in BTC these days should be done with caution. The market is highly volatile, and global economic conditions, regulations, and crypto-related news can have an immediate impact on its price. If you're considering it as a long-term investment, make sure to do thorough research and only invest what you can afford to lose.

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#BitcoinWithTariffs "The tariffs imposed by Trump, particularly during the U.S.-China trade war, created economic uncertainty in global markets. This uncertainty sometimes led investors to seek alternative assets like Bitcoin, which is considered by some as a hedge against traditional financial systems. As a result, Bitcoin saw some increased interest and price volatility during those periods."

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simple crypto portfolio using Python. It lets you input your holdings and prints the total value (mock prices for now, can be replaced with live API calls): # Simple crypto portfolio tracker (mock prices) mock_prices = { "BTC": 65000, "ETH": 3200, "SOL": 150, "ADA": 0.45 } def

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#StaySAFU Here’s a short StaySAFU-style script that checks a token for basic safety flags using dummy logic (you can later replace it with actual API calls or data scraping): def check_token_safety(token_address): # Dummy checks – replace with real API calls (e.g. StaySAFU, Token Sniffer, etc.) blacklist = ["0xDeadBeef...", "0xScamToken123..."] if token_address in blacklist: return "WARNING: Token is blacklisted!" honeypot = False # Simulated check if honeypot: return "WARNING: Honeypot detected!" liquidity_locked = True # Simulated check if not liquidity_locked: return "WARNING: Liquidity not locked!" return "Token appears SAFU (but always DYOR)." # Example usage token = input("Enter token address: ") print(check_token_safety(token)) Want me to add web scraping or real-time API checks?

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#RiskRewardRatio Sure! Here's a short Python script that calculates the risk-reward ratio for a trade: def calculate_risk_reward(entry_price, stop_loss, target_price): risk = abs(entry_price - stop_loss) reward = abs(target_price - entry_price) if risk == 0: return "Risk cannot be zero." ratio = reward / risk return f"Risk: {risk}, Reward: {reward}, Risk-Reward Ratio: {ratio:.2f}" # Example usage entry = float(input("Enter Entry Price: ")) stop = float(input("Enter Stop Loss: ")) target = float(input("Enter Target Price: ")) result = calculate_risk_reward(entry, stop, target) print(result) Let me know if you want it in another language or with more features like batch calculations or a GUI.

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