CAD-CAM's Profile | Binance Square

--

$SOLV hey @properlogic still do you have hope on this SOLV ?

come and join to winners club!
Here is latest test of my software

SOLV

CAD-CAM

--

🚀 Just Crushed It with My Python Trading Bot! 🐍📈

Hey Binance fam! 👋
After weeks of coding, testing, and refining my Python-based strategy bot, I finally have the results… and they’re 🔥

Here’s a sneak peek into my Strategy Leaderboard (check the attached image 🖼️):

🧠 Top Performers:
• 🥇 Peak Rejection (Shooting Star): $140.18 🏆
• 🥈 Bearish Engulfing (Apex): $137.54 🚀
• 🥉 Tweezer Top (Candlestick): $44.02 💥

💯 Perfect Win Rates (100%) for:
• Bearish Engulfing (Apex)
• Tweezer Top (Candlestick)
• Daily High Zone with Tweezer Top
• Peak Rejection with Shooting Star

📉 And yes, not everything wins 😅 — check those losses for “Shooting Star (Apex)” and “Daily Low Zone (Tweezer Bottom)”… we learn and iterate. 🤓

#Binance #TradingBot #Backtesting #AlgoTrading #BearishEngulfing $OBOL $BTC $ETH
@BLACKEAGLE_BESIKTAS @MITU NEEL @bot_Trader @Camilla Baca vwCT

--

See original

Close it, priest, just be aware of this 0.006185

BÜYÜK BALİNA

--

$AGT 🚀

CAD-CAM

--

After changing my strategy specially @MITU NEEL chart, the shape off the my software has been drastically changed, Here’s another result

📊 Daily Trader's Dashboard (Last 24h)
🔸 Total Trades: 15 | PnL: +197.18%
✅ Wins: 8 | ❌ Losses: 7
🎯 Win Rate: 53.33% | Profit Factor: 6.96
💰 Avg Win: +28.78% | 💀 Avg Loss: -4.72%
--- By Strategy ---
Apex Bearish Engulfi: 126.05% (3 trades)
Daily Low Zone : 42.87% (2 trades)
Bearish Engulfing : 30.74% (5 trades)
--- By Session ---
Tokyo : 108.14% (4 trades)
London : 94.44% (7 trades)
Sydney/Quiet : 19.26% (1 trades)
NY_London_Overlap : -24.67% (3 trades)
---
🏆 Trade of the Day: SHORT Apex Bearish Engulfing (+88.16%)

Those percentages are basic leverage
The actual pnl is different!

Thank you Mitu 👏👏$BTC $ETH $SOL

--

Small tips for you guys, as per my reporting $BTC $ETH $OMNI the best Time is looking Tokyo UTC time,

--

Let’s see how it will react

S

ZORAUSDT

at

0.09514

Canceled

ZORA

CAD-CAM

--

$ZORA it’s trying to kill all the short poz no doubt

ZORA

CAD-CAM

--

And send me end of terminal message

CAD-CAM

--

@bot_Trader @properlogic @BLACKEAGLE_BESIKTAS

CAD-CAM

--

Hey! I have copied this candle chart and implemented in to my software, I will post you results, Thank you @MITU NEEL

MITU NEEL

--

*⚡️MARKET CLUE: TRIPLE BOTTOM IN ACTION!📉📉📉➡️📈*

When the market hits the same support level THREE times and refuses to go lower…
That’s your cue for a trend reversal!

*📌 Breakout Alert – Buyers are stepping in. Are you ready to ride the move? 🔥*

CAD-CAM

--

@bot_Trader @properlogic @BLACKEAGLE_BESIKTAS

CAD-CAM

--

In this video, My Trading Signal Bot performs real-time crypto market analysis, filtering for high-probability setups using multi-layered signal logic. 60+ INDICATORS
✅ Trend Alignment: Confirms LONG/SHORT bias with ADX, OBV slope, RSI, and EMA positioning.
⚠️ Pullback Rejection: Trades are blocked if price deviates too far from EMA levels, enforcing disciplined entries.
📉 Example –
Master Trend SHORT ✅
OBV slope positive ⚠️
Price -11.66% below 1h EMA → Pullback Rejected 🚫
All signals are filtered, rejected, or held in cache if profitability doesn't meet strict thresholds. $ETH $XRP
$BTC

CAD-CAM

--

See original

Hello brother, how are you, where are you talking from, do not write your phone number here,

BLACKEAGLE_BESIKTAS

--

let's talk

CAD-CAM

--

See original

I have a software I am working on. If you are interested, we can talk.

CAD-CAM

--

Black eagle, reach me. As a Beşiktaş fan, I will help you 🤪

CAD-CAM

--

See original

Black eagle, reach me. As a Beşiktaş fan, I will help you 🤪

BLACKEAGLE_BESIKTAS

--

Future is regret. Goodbye forever, curse.

CAD-CAM

--

As of now in testing situation! But %90 ready
I will inform you in future how to get it

chuks2027

--

how do I get this bot

CAD-CAM

--

@bot_Trader @Camilla Baca vwCT @properlogic @WalletConnect

CAD-CAM

--

SMART BOT

🧠 From Script to Self-Adaptive Trading Bot

This is the most important question — how did I evolve from a basic bot into an intelligent, learning system? Let’s go step by step. 👇
🔹 Phase 1: The "Dumb" Bot

🚫 No memory

🔍 Only looked at one coin at a time

📉 Blind to the market context

🧱 Logic: if pattern → send signal

❌ Would LONG into downtrends or SHORT during bull runs

🎯 Result: ~50% win rate, unreliable
⚙️ Phase 2: The "Smart" Bot

Now it’s a real trader: intelligent, context-aware, and self-evaluating. 💡

Let’s break down its "brain" layer by layer. 🧠
📸 Layer 1: The Forensic Snapshot

🧬 Built by getall_indicators

🧾 Pulls key data for every coin:

📊 Trend & Momentum (15m → 1W RSI, MACD, ADX)

📈 Price vs EMA (all timeframes)

🧮 Market Internals (order book, volume, OBV slope)

🌪 Volatility (ATR, Bollinger Band Width)

✅ Complete market context = smarter decisions
🔍 Layer 2: Strategy Filters (Context-Aware)

🛡 Prevents bad setups before they happen:

🔑 is_trend_aligned checks:

➡️ Price above 50W EMA?

➡️ OBV slope positive?

➡️ 4H ADX strong enough?

🧠 If not → REJECT the strategy ❌

🔥 "Goldilocks" filter blocks overheated dips

🚀 "Mania" filter avoids shorting strong trends
♻️ Layer 3: Dynamic Trade Bias (Self-Learning)

🧠 The bot checks its own logs every 48h:

📈 Winning LONG? → Bias +1.0

📉 Losing LONG? → Bias -1.5

📊 Builds a bias_score:

🔵 BULLISH if > 3.0

🔴 BEARISH if < -3.0

⚪️ NEUTRAL if in between

🎯 Final trades get scored higher or lower based on this internal bias

🧠 It learns what’s working in real-time!
🤖 Layer 4: Adaptive Trade Management

📍 No fixed stop losses

📐 Uses ATR-based trailing stops

🔒 SL moves to breakeven at TP1

🚀 Lets winners run to TP2/TP3

💰 Locks in gains, avoids early exits
♟️ Conclusion: From Calculator ➝ Chess Player

The old bot: 🧮 Simple pattern → signal

The new bot: ♟ Evaluates, filters, adapts, and manages like a trader

✅ Knows the full market picture

✅ Adjusts strategies in real-time

✅ Learns from performance

✅ Manages trades intelligently

🎉 I didn’t just build a bot.

I built an evolving system.

#algoTrading #Write2Earn #wct $BTC $ETH $XRP #BinanceSquar

--

SMART BOT🧠 From Script to Self-Adaptive Trading Bot This is the most important question — how did I evolve from a basic bot into an intelligent, learning system? Let’s go step by step. 👇 🔹 Phase 1: The "Dumb" Bot 🚫 No memory 🔍 Only looked at one coin at a time 📉 Blind to the market context 🧱 Logic: if pattern → send signal ❌ Would LONG into downtrends or SHORT during bull runs 🎯 Result: ~50% win rate, unreliable ⚙️ Phase 2: The "Smart" Bot Now it’s a real trader: intelligent, context-aware, and self-evaluating. 💡 Let’s break down its "brain" layer by layer. 🧠 📸 Layer 1: The Forensic Snapshot 🧬 Built by getall_indicators 🧾 Pulls key data for every coin: 📊 Trend & Momentum (15m → 1W RSI, MACD, ADX) 📈 Price vs EMA (all timeframes) 🧮 Market Internals (order book, volume, OBV slope) 🌪 Volatility (ATR, Bollinger Band Width) ✅ Complete market context = smarter decisions 🔍 Layer 2: Strategy Filters (Context-Aware) 🛡 Prevents bad setups before they happen: 🔑 is_trend_aligned checks: ➡️ Price above 50W EMA? ➡️ OBV slope positive? ➡️ 4H ADX strong enough? 🧠 If not → REJECT the strategy ❌ 🔥 "Goldilocks" filter blocks overheated dips 🚀 "Mania" filter avoids shorting strong trends ♻️ Layer 3: Dynamic Trade Bias (Self-Learning) 🧠 The bot checks its own logs every 48h: 📈 Winning LONG? → Bias +1.0 📉 Losing LONG? → Bias -1.5 📊 Builds a bias_score: 🔵 BULLISH if > 3.0 🔴 BEARISH if < -3.0 ⚪️ NEUTRAL if in between 🎯 Final trades get scored higher or lower based on this internal bias 🧠 It learns what’s working in real-time! 🤖 Layer 4: Adaptive Trade Management 📍 No fixed stop losses 📐 Uses ATR-based trailing stops 🔒 SL moves to breakeven at TP1 🚀 Lets winners run to TP2/TP3 💰 Locks in gains, avoids early exits ♟️ Conclusion: From Calculator ➝ Chess Player The old bot: 🧮 Simple pattern → signal The new bot: ♟ Evaluates, filters, adapts, and manages like a trader ✅ Knows the full market picture ✅ Adjusts strategies in real-time ✅ Learns from performance ✅ Manages trades intelligently 🎉 I didn’t just build a bot. I built an evolving system. #algoTrading #Write2Earn #wct $BTC $ETH $XRP #BinanceSquar

SMART BOT

🧠 From Script to Self-Adaptive Trading Bot

This is the most important question — how did I evolve from a basic bot into an intelligent, learning system? Let’s go step by step. 👇
🔹 Phase 1: The "Dumb" Bot

🚫 No memory

🔍 Only looked at one coin at a time

📉 Blind to the market context

🧱 Logic: if pattern → send signal

❌ Would LONG into downtrends or SHORT during bull runs

🎯 Result: ~50% win rate, unreliable
⚙️ Phase 2: The "Smart" Bot

Now it’s a real trader: intelligent, context-aware, and self-evaluating. 💡

Let’s break down its "brain" layer by layer. 🧠
📸 Layer 1: The Forensic Snapshot

🧬 Built by getall_indicators

🧾 Pulls key data for every coin:

📊 Trend & Momentum (15m → 1W RSI, MACD, ADX)

📈 Price vs EMA (all timeframes)

🧮 Market Internals (order book, volume, OBV slope)

🌪 Volatility (ATR, Bollinger Band Width)

✅ Complete market context = smarter decisions
🔍 Layer 2: Strategy Filters (Context-Aware)

🛡 Prevents bad setups before they happen:

🔑 is_trend_aligned checks:

➡️ Price above 50W EMA?

➡️ OBV slope positive?

➡️ 4H ADX strong enough?

🧠 If not → REJECT the strategy ❌

🔥 "Goldilocks" filter blocks overheated dips

🚀 "Mania" filter avoids shorting strong trends
♻️ Layer 3: Dynamic Trade Bias (Self-Learning)

🧠 The bot checks its own logs every 48h:

📈 Winning LONG? → Bias +1.0

📉 Losing LONG? → Bias -1.5

📊 Builds a bias_score:

🔵 BULLISH if > 3.0

🔴 BEARISH if < -3.0

⚪️ NEUTRAL if in between

🎯 Final trades get scored higher or lower based on this internal bias

🧠 It learns what’s working in real-time!
🤖 Layer 4: Adaptive Trade Management

📍 No fixed stop losses

📐 Uses ATR-based trailing stops

🔒 SL moves to breakeven at TP1

🚀 Lets winners run to TP2/TP3

💰 Locks in gains, avoids early exits
♟️ Conclusion: From Calculator ➝ Chess Player

The old bot: 🧮 Simple pattern → signal

The new bot: ♟ Evaluates, filters, adapts, and manages like a trader

✅ Knows the full market picture

✅ Adjusts strategies in real-time

✅ Learns from performance

✅ Manages trades intelligently

🎉 I didn’t just build a bot.

I built an evolving system.

#algoTrading #Write2Earn #wct $BTC $ETH $XRP #BinanceSquar

BTC