#tradingmath search results
#TradingMath (Part-2) Number of trades required to make 100% returns 2. Calculating Number of trades required to make 100% returns on Trading capital
You don’t need a high win rate you need better math. A 1:2 risk-to-reward turns even 40% accuracy into profit. Small losses. Big wins. Repeat. #RiskManagement #RisktoReward #TradingMath
🧮 Important calculations: • Average Entry Price (AEP) • Unrealized P&L • Closed P&L Know these to track your performance accurately! #TradingMath
Risk-to-reward reality check: 📊 Taking 1:1 RR trades = Need 60%+ win rate to profit Taking 1:3 RR trades = Can profit with just 30% wins Which approach is more sustainable? #RiskReward #TradingMath
#TradingMath (Part-1) Number of trades required to make 100% returns 1. Calculating average expected yield (Profit/Loss) per trade. Assumptions.. Trading capital : ₹100,000/- Position sizing : 25% Avg win per trade : 8% Avg loss per trade : 6% Probability of winning : 55%
5/15 Measuring Fair Value Gaps 📐📏 Calculate gap size: 🧮 Bullish FVG = Low of 1st candle - High of 2nd candle ⬆️ Bearish FVG = Low of 2nd candle - High of 1st candle ⬇️ #TradingMath #PriceLevels #ICTMethod 🎯
Unlock the power of numbers and unleash your trading potential with Kleos. Join us and understand the math behind successful trading strategies. #Kleos #TradingMath
Expectancy: The true measure of your trading strategy. It's not about win rate, it's about average win vs. average loss, multiplied by win rate. Do you know your strategy's expectancy? ➕➖ #TradingStrategy #Expectancy #TradingMath #Profitability
Easier said than done, but I like #TradingMath
Just like a cashier totals up purchases, a trader calculates risks and potential profits at the checkout (exit point). Every trade is a transaction! 💳💵 #TradingMath
💡 If your win rate is 50%, and your R:R is 1:3 You’ll be profitable Math is your friend #TradingMath #ForexEdge
Challenge time! 💚 A trader starts with $10,000. After 5 days of trading with these daily changes: 2%, 3%, -1%, 4%, and 1%, what’s their final balance? 🤔 #TraderChallenge #TradingMath #FinanceFun #Investing
#TradingMath A simple thread where we explore the math behind trading & investing.
The compound effect of missing opportunities: Miss 1 pre-market setup per week = 4/month 4 missed setups × $1000 avg = $4000 in lost opportunity Multiply that by 12 months. The cost of not knowing adds up fast. #TradingMath #OpportunityCost
The compound effect of missing opportunities: Miss 1 pre-market setup per week = 4/month 4 missed setups × $1000 avg = $4000 in lost opportunity Multiply that by 12 months. The cost of not knowing adds up fast. #TradingMath #OpportunityCost
Expectancy: The true measure of your trading strategy. It's not about win rate, it's about average win vs. average loss, multiplied by win rate. Do you know your strategy's expectancy? ➕➖ #TradingStrategy #Expectancy #TradingMath #Profitability
You don’t need a high win rate you need better math. A 1:2 risk-to-reward turns even 40% accuracy into profit. Small losses. Big wins. Repeat. #RiskManagement #RisktoReward #TradingMath
Stick to a 3:1 risk-reward. Win 4/10 trades and still grow equity. Maths > ego. 📐💪 #RiskManagement #TradingMath #stockmarketsindia
Prudent risk management advice. #Forex #TradingMath
💰 Position Sizing Formula: Account size = $1000 Risk per trade = 1% = $10 Stop loss distance = 20 pips Position size = $10 ÷ (20 pips × $1/pip) = 0.5 lots Protect your capital. Math saves accounts. #PositionSizing #RiskManagement #TradingMath
💰 Position Sizing Formula: Account size = $1000 Risk per trade = 1% = $10 Stop loss distance = 20 pips Position size = $10 ÷ (20 pips × $1/pip) = 0.5 lots Protect your capital. Math saves accounts. #PositionSizing #RiskManagement #TradingMath
Your win rate matters less than your risk/reward ratio. #TradingMath
⚖️ Risk vs Reward: Minimum risk/reward ratio = 1:2 Risk $10 → Target profit $20 Kenapa? - Win rate bisa 40% tapi tetap profitable - Protect capital untuk long-term survival Math doesn't lie. Emotions do. #RiskReward #RiskManagement #TradingMath #TradingTips #FOREX
🎯 XRP Risk/Reward Analysis: 70% UPSIDE potential to $3.60 vs 42% downside risk. But here's the kicker - if you entered at the lows like a PRO, you're looking at 85% reward with ZERO risk 🔥 Watch today's full clip youtu.be/QIik5tsIgqM?t=… #XRP #RiskReward #TradingMath…
A proper risk-to-reward ratio flips the game in your favour. 🎲 Even with a 40% success rate, a 1:3 RR can make you consistently profitable. It's not about winning more; it's about losing less. #TradingMath #RiskReward #EdgeIsEverything
The quote reflects the importance of a favourable risk-reward ratio (e.g., 1:3 or higher). Risk $100 to make $300, and even if you’re right, only 40% of the time, you’re still profitable. This is the math that makes traders “winners” over the long term. #RiskReward #TradingMath
Just like a cashier totals up purchases, a trader calculates risks and potential profits at the checkout (exit point). Every trade is a transaction! 💳💵 #TradingMath
Challenge time! 💚 A trader starts with $10,000. After 5 days of trading with these daily changes: 2%, 3%, -1%, 4%, and 1%, what’s their final balance? 🤔 #TraderChallenge #TradingMath #FinanceFun #Investing
Big lot + high leverage = 🚀 or 💥. Small lot + smart leverage = steady gains. #TradingMath #RiskManagement Social-to-earn powered by #aZen & #AIAgent. 🚀Join Now👇 azenprotocol.io/s/?key=A-8LV3AE
Big lot + high leverage = 🚀 or 💥. Small lot + smart leverage = steady gains. #TradingMath #RiskManagement Social-to-earn powered by #aZen & #AIAgent. 🚀Join Now👇 azenprotocol.io/s/?key=A-8LV3AE
💡 If your win rate is 50%, and your R:R is 1:3 You’ll be profitable Math is your friend #TradingMath #ForexEdge
Risk-to-reward reality check: 📊 Taking 1:1 RR trades = Need 60%+ win rate to profit Taking 1:3 RR trades = Can profit with just 30% wins Which approach is more sustainable? #RiskReward #TradingMath
What percentage of your profits are eaten up by trading fees? Time for a reality check! #ProfitMargins #TradingMath ift.tt/scvLUhq Talk crypto with us, comment & follow!
cryptomaps.tech
The Best Exchange for Low Trading Fees: A Detailed Breakdown
The Best Exchange for Low Trading Fees: A Detailed Breakdown
#TradingMath (Part-2) Number of trades required to make 100% returns 2. Calculating Number of trades required to make 100% returns on Trading capital
Risk-to-reward reality check: 📊 Taking 1:1 RR trades = Need 60%+ win rate to profit Taking 1:3 RR trades = Can profit with just 30% wins Which approach is more sustainable? #RiskReward #TradingMath
#TradingMath (Part-1) Number of trades required to make 100% returns 1. Calculating average expected yield (Profit/Loss) per trade. Assumptions.. Trading capital : ₹100,000/- Position sizing : 25% Avg win per trade : 8% Avg loss per trade : 6% Probability of winning : 55%
🧮 Important calculations: • Average Entry Price (AEP) • Unrealized P&L • Closed P&L Know these to track your performance accurately! #TradingMath
You don’t need a high win rate you need better math. A 1:2 risk-to-reward turns even 40% accuracy into profit. Small losses. Big wins. Repeat. #RiskManagement #RisktoReward #TradingMath
5/15 Measuring Fair Value Gaps 📐📏 Calculate gap size: 🧮 Bullish FVG = Low of 1st candle - High of 2nd candle ⬆️ Bearish FVG = Low of 2nd candle - High of 1st candle ⬇️ #TradingMath #PriceLevels #ICTMethod 🎯
🎯 XRP Risk/Reward Analysis: 70% UPSIDE potential to $3.60 vs 42% downside risk. But here's the kicker - if you entered at the lows like a PRO, you're looking at 85% reward with ZERO risk 🔥 Watch today's full clip youtu.be/QIik5tsIgqM?t=… #XRP #RiskReward #TradingMath…
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