Selene971
19 Posts
Selene971
Report
Block User
Open Trade
High-Frequency Trader
8.9 Years
5 Following
29 Followers
21 Liked
Posts
Portfolio
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Article
FROM MY OLD BOTS TO ACTIVELY MANAGED GRIDSReview from October 12 to November 2, 2026 · 22 days
In my previous v6.3 report, I reported +5.17% over 7 days of active trading.
Since then, my approach has evolved: a more targeted selection of movements, more observation before entering, and active management of Futures grids.
🔎 WHAT HAS CHANGED
I look for quiet phases followed by an exceptional acceleration in price and executed buys. I then wait for buying pressure to fade and for the first signs of a downturn to appear on the one-minute candles.
FROM MY OLD BOTS TO ACTIVELY MANAGED GRIDS
Review from October 12 to November 2, 2026 · 22 days
In my previous v6.3 report, I reported +5.17% over 7 days of active trading.
Since then, my approach has evolved: a more targeted selection of movements, more observation before entering, and active management of Futures grids.
🔎 WHAT HAS CHANGED
I look for quiet phases followed by an exceptional acceleration in price and executed buys. I then wait for buying pressure to fade and for the first signs of a downturn to appear on the one-minute candles.
In my previous v6.3 report, I reported +5.17% over 7 days of active trading.
Since then, my approach has evolved: a more targeted selection of movements, more observation before entering, and active management of Futures grids.
🔎 WHAT HAS CHANGED
I look for quiet phases followed by an exceptional acceleration in price and executed buys. I then wait for buying pressure to fade and for the first signs of a downturn to appear on the one-minute candles.
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📊 Performance Report — May 27 to June 3, 2026
v6.3 Optimized | 7 days of active trading
Overall Performance
🟢 +5.17% over the period
📉 BTC during the same period: −9.64%
⚡ Alpha generated: +14.81% vs BTC
Stats
✅ Win rate: 86% (6 green days / 1 red)
📈 Average gain on green days: +0.90%
📉 Average loss on red days: −0.34%
⚖️ Gain/Loss ratio: 2.6x
🎯 Profit factor: 15.8
Calendar
🟢 05/27 +0.86% | 🟢 05/28 +0.74% | 🔴 05/29 −0.34%
🟢 05/30 +1.79% | 🟢 05/31 +0.16% | 🟢 06/01 +0.56%
🟢 06/03 +1.30%
⚠️ Transparency Note
June 2 was excluded from this report due to a technical glitch (unmonitored orphan position). The issue has been identified, fixed, and deployed in v6.4/v6.5. Protective mechanisms are now strengthened.
Adverse Market (Fear & Greed ~23/100) — the bot is performing in total decoupling from the market.
📊 Performance Report — May 27 to June 3, 2026
v6.3 Optimized | 7 days of active trading
Overall Performance
🟢 +5.17% over the period
📉 BTC during the same period: −9.64%
⚡ Alpha generated: +14.81% vs BTC
Stats
✅ Win rate: 86% (6 green days / 1 red)
📈 Average gain on green days: +0.90%
📉 Average loss on red days: −0.34%
⚖️ Gain/Loss ratio: 2.6x
🎯 Profit factor: 15.8
Calendar
🟢 05/27 +0.86% | 🟢 05/28 +0.74% | 🔴 05/29 −0.34%
🟢 05/30 +1.79% | 🟢 05/31 +0.16% | 🟢 06/01 +0.56%
🟢 06/03 +1.30%
⚠️ Transparency Note
June 2 was excluded from this report due to a technical glitch (unmonitored orphan position). The issue has been identified, fixed, and deployed in v6.4/v6.5. Protective mechanisms are now strengthened.
Adverse Market (Fear & Greed ~23/100) — the bot is performing in total decoupling from the market.
v6.3 Optimized | 7 days of active trading
Overall Performance
🟢 +5.17% over the period
📉 BTC during the same period: −9.64%
⚡ Alpha generated: +14.81% vs BTC
Stats
✅ Win rate: 86% (6 green days / 1 red)
📈 Average gain on green days: +0.90%
📉 Average loss on red days: −0.34%
⚖️ Gain/Loss ratio: 2.6x
🎯 Profit factor: 15.8
Calendar
🟢 05/27 +0.86% | 🟢 05/28 +0.74% | 🔴 05/29 −0.34%
🟢 05/30 +1.79% | 🟢 05/31 +0.16% | 🟢 06/01 +0.56%
🟢 06/03 +1.30%
⚠️ Transparency Note
June 2 was excluded from this report due to a technical glitch (unmonitored orphan position). The issue has been identified, fixed, and deployed in v6.4/v6.5. Protective mechanisms are now strengthened.
Adverse Market (Fear & Greed ~23/100) — the bot is performing in total decoupling from the market.
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After weeks of fumbling around, I might finally be getting close to the final and stable version of the Bot that's been giving me hell since 23.4.2026!
After weeks of fumbling around, I might finally be getting close to the final and stable version of the Bot that's been giving me hell since 23.4.2026!
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1.9k
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Bullish
First session of the new V6.1 version from 09/05:
• 5 trades closed: SUI +1.90%, UNI +1.27%, ARB, BNB, PENGU ongoing
• 0 stop-loss
• Portfolio +0.73% in 8h
• 3 simultaneous long positions held for 5h+
🤖 v6.1-Clean — First 8h
New version live since last night. Initial results.
5 trades · 0 stop-loss
Portfolio: +0.73% for the session
What’s changed vs v6.0:
Adaptive SL based on UTC time, signal persistence over 2 cycles before entry, anti-correlation filter for BTC/ETH/SOL, trading range tightened to 12h–21h30 UTC based on 244 trades of real history.
No magic — just fewer structural errors than before.
📡 Live notifications → t.me/Binance_selenebot
First session of the new V6.1 version from 09/05:
• 5 trades closed: SUI +1.90%, UNI +1.27%, ARB, BNB, PENGU ongoing
• 0 stop-loss
• Portfolio +0.73% in 8h
• 3 simultaneous long positions held for 5h+
🤖 v6.1-Clean — First 8h
New version live since last night. Initial results.
5 trades · 0 stop-loss
Portfolio: +0.73% for the session
What’s changed vs v6.0:
Adaptive SL based on UTC time, signal persistence over 2 cycles before entry, anti-correlation filter for BTC/ETH/SOL, trading range tightened to 12h–21h30 UTC based on 244 trades of real history.
No magic — just fewer structural errors than before.
📡 Live notifications → t.me/Binance_selenebot
• 5 trades closed: SUI +1.90%, UNI +1.27%, ARB, BNB, PENGU ongoing
• 0 stop-loss
• Portfolio +0.73% in 8h
• 3 simultaneous long positions held for 5h+
🤖 v6.1-Clean — First 8h
New version live since last night. Initial results.
5 trades · 0 stop-loss
Portfolio: +0.73% for the session
What’s changed vs v6.0:
Adaptive SL based on UTC time, signal persistence over 2 cycles before entry, anti-correlation filter for BTC/ETH/SOL, trading range tightened to 12h–21h30 UTC based on 244 trades of real history.
No magic — just fewer structural errors than before.
📡 Live notifications → t.me/Binance_selenebot
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Article
48h of algorithmic trading — honest review, version by versionAll bot notifications are public — entries, exits, hourly reports, drawdown alerts. You can follow live here → t.me/Binance_selenebot
I've been testing a crypto trading bot on Binance Spot for a few days now. Here’s a transparent report on what happened, what went wrong, and what we've changed.
📌Context
Fixed test capital. No leverage. Trend-following strategy on liquid altcoins, signals on 15min charts, automated risk management. Two versions have been running during this period.
48h of algorithmic trading — honest review, version by version
All bot notifications are public — entries, exits, hourly reports, drawdown alerts. You can follow live here → t.me/Binance_selenebot
I've been testing a crypto trading bot on Binance Spot for a few days now. Here’s a transparent report on what happened, what went wrong, and what we've changed.
📌Context
Fixed test capital. No leverage. Trend-following strategy on liquid altcoins, signals on 15min charts, automated risk management. Two versions have been running during this period.
I've been testing a crypto trading bot on Binance Spot for a few days now. Here’s a transparent report on what happened, what went wrong, and what we've changed.
📌Context
Fixed test capital. No leverage. Trend-following strategy on liquid altcoins, signals on 15min charts, automated risk management. Two versions have been running during this period.
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Session v6.8.1 — 03/05 12h → 04/05 12h | Results + contextSession figures
🤖 Win rate: 70% (14/20 exits)
💰 Cumulative gross PnL from trades: +20.51%
⚖️ Win/loss ratio: 1.45× — +2.08% average per win | −1.43% per SL
🏆 Partial edges + steps: 14 exits | WR 100% | +29.11%
─────────────────────────────
Why is the capital low despite a positive gross PnL?
That’s the legit question everyone should be asking.
The gross PnL (+20.51%) is the sum of individual trade performances. But each position only represents 15–20% of the total capital — not 100%. So a trade at +3% only adds about +0.45–0.60% to the overall capital.
Session v6.8.1 — 03/05 12h → 04/05 12h | Results + context
Session figures
🤖 Win rate: 70% (14/20 exits)
💰 Cumulative gross PnL from trades: +20.51%
⚖️ Win/loss ratio: 1.45× — +2.08% average per win | −1.43% per SL
🏆 Partial edges + steps: 14 exits | WR 100% | +29.11%
─────────────────────────────
Why is the capital low despite a positive gross PnL?
That’s the legit question everyone should be asking.
The gross PnL (+20.51%) is the sum of individual trade performances. But each position only represents 15–20% of the total capital — not 100%. So a trade at +3% only adds about +0.45–0.60% to the overall capital.
🤖 Win rate: 70% (14/20 exits)
💰 Cumulative gross PnL from trades: +20.51%
⚖️ Win/loss ratio: 1.45× — +2.08% average per win | −1.43% per SL
🏆 Partial edges + steps: 14 exits | WR 100% | +29.11%
─────────────────────────────
Why is the capital low despite a positive gross PnL?
That’s the legit question everyone should be asking.
The gross PnL (+20.51%) is the sum of individual trade performances. But each position only represents 15–20% of the total capital — not 100%. So a trade at +3% only adds about +0.45–0.60% to the overall capital.
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🤖 Win rate: 75% (12/16 trades)
📈 ROI: +0.54% in 6h40 on active capital
💰 Cumulative gross PnL: +18.66%
⚖️ Risk/reward ratio: 1.01× — intentionally tight: the bot secures early via partials and laddering, which reduces big unit gains but ensures consistency
🏆 Confirmed edge: partials + laddering | WR 100% | +19.58%
⏱️ Run duration: 6h40 — first session v6.8.1
🤖 Win rate: 75% (12/16 trades)
📈 ROI: +0.54% in 6h40 on active capital
💰 Cumulative gross PnL: +18.66%
⚖️ Risk/reward ratio: 1.01× — intentionally tight: the bot secures early via partials and laddering, which reduces big unit gains but ensures consistency
🏆 Confirmed edge: partials + laddering | WR 100% | +19.58%
⏱️ Run duration: 6h40 — first session v6.8.1
📈 ROI: +0.54% in 6h40 on active capital
💰 Cumulative gross PnL: +18.66%
⚖️ Risk/reward ratio: 1.01× — intentionally tight: the bot secures early via partials and laddering, which reduces big unit gains but ensures consistency
🏆 Confirmed edge: partials + laddering | WR 100% | +19.58%
⏱️ Run duration: 6h40 — first session v6.8.1
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Recap of 10 days of development on my Binance Spot trading bot, from v1 to v6.8.1. Architecture built entirely from scratch, iteration by iteration.
In the last 24 hours: win rate 62.5%, cumulative net PnL +18.31%, gain/loss ratio 1.46. The main edge comes from the runner momentum mode (WR 75%, +5.67%) and secured partial sells (WR 100%, +11.90%). The only real value destroyer identified: aggressive kill time (−3.00%), already fixed.
11 major fixes applied since v5.4: elimination of shorts in BTC uptrend, intelligent kill time, runner hold zone, nighttime momentum, sniper deadzone 03h–12h, filters 15m + absolute volume + anti-distribution, cooldown TP reduced to 1h, reduced allocation on short history.
Realistic projection: +0.6% to +1.8%/day in normal market, +2% to +4% in strong momentum. Not statistically validated — 50+ trades per mode required.
Next step: v6.9 with a pre-momentum watchlist to enter moves earlier without lowering signal quality.
Recap of 10 days of development on my Binance Spot trading bot, from v1 to v6.8.1. Architecture built entirely from scratch, iteration by iteration.
In the last 24 hours: win rate 62.5%, cumulative net PnL +18.31%, gain/loss ratio 1.46. The main edge comes from the runner momentum mode (WR 75%, +5.67%) and secured partial sells (WR 100%, +11.90%). The only real value destroyer identified: aggressive kill time (−3.00%), already fixed.
11 major fixes applied since v5.4: elimination of shorts in BTC uptrend, intelligent kill time, runner hold zone, nighttime momentum, sniper deadzone 03h–12h, filters 15m + absolute volume + anti-distribution, cooldown TP reduced to 1h, reduced allocation on short history.
Realistic projection: +0.6% to +1.8%/day in normal market, +2% to +4% in strong momentum. Not statistically validated — 50+ trades per mode required.
Next step: v6.9 with a pre-momentum watchlist to enter moves earlier without lowering signal quality.
In the last 24 hours: win rate 62.5%, cumulative net PnL +18.31%, gain/loss ratio 1.46. The main edge comes from the runner momentum mode (WR 75%, +5.67%) and secured partial sells (WR 100%, +11.90%). The only real value destroyer identified: aggressive kill time (−3.00%), already fixed.
11 major fixes applied since v5.4: elimination of shorts in BTC uptrend, intelligent kill time, runner hold zone, nighttime momentum, sniper deadzone 03h–12h, filters 15m + absolute volume + anti-distribution, cooldown TP reduced to 1h, reduced allocation on short history.
Realistic projection: +0.6% to +1.8%/day in normal market, +2% to +4% in strong momentum. Not statistically validated — 50+ trades per mode required.
Next step: v6.9 with a pre-momentum watchlist to enter moves earlier without lowering signal quality.
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Session S3 | 01/05 15h00 → close
Results (closed trades)
🤖 10 trades | Win rate: 40% (4/10)
💰 Realized PnL: −1.11 USDT
⚖️ Gain/loss ratio: 1.27×
🏆 Best: PENDLE +1.64%
💀 Worst: ALICE −1.89%
Market Context
BTC in a range all day + May 1st holiday in the EU. The big moves (APE +12%, PENDLE +14%, INJ +7%, RAY +10%) all happened between 12h and 16h — within our blocked zone. Structurally tough session.
Simulation v5.4 on this session
With the 13 corrections:
BTC range filter (point 9)
BTC range < 1.5% for 4h all day → minimum score recorded at 9. Out of our 10 trades, 6 had a score of 8 → would have been blocked. Avoided losses: +4.08 USDT.
EU holiday detection (point 13)
Active range extended to 12h → APE, PENDLE, INJ, and RAY could have been captured starting at 12h15 on their real moves at +7% to +14%.
Adaptive behavior by cycle (point 10)
ALICE and TLM entered at 15h (opening cycle, score 9 required) → would have been blocked (score 8).
Simulated result v5.4: +6.50 USDT estimated vs −1.11 USDT actual → delta of +7.61 USDT on a single session.
2 open positions still not included.
Not financial advice — v5.4 in development.
Session S3 | 01/05 15h00 → close
Results (closed trades)
🤖 10 trades | Win rate: 40% (4/10)
💰 Realized PnL: −1.11 USDT
⚖️ Gain/loss ratio: 1.27×
🏆 Best: PENDLE +1.64%
💀 Worst: ALICE −1.89%
Market Context
BTC in a range all day + May 1st holiday in the EU. The big moves (APE +12%, PENDLE +14%, INJ +7%, RAY +10%) all happened between 12h and 16h — within our blocked zone. Structurally tough session.
Simulation v5.4 on this session
With the 13 corrections:
BTC range filter (point 9)
BTC range < 1.5% for 4h all day → minimum score recorded at 9. Out of our 10 trades, 6 had a score of 8 → would have been blocked. Avoided losses: +4.08 USDT.
EU holiday detection (point 13)
Active range extended to 12h → APE, PENDLE, INJ, and RAY could have been captured starting at 12h15 on their real moves at +7% to +14%.
Adaptive behavior by cycle (point 10)
ALICE and TLM entered at 15h (opening cycle, score 9 required) → would have been blocked (score 8).
Simulated result v5.4: +6.50 USDT estimated vs −1.11 USDT actual → delta of +7.61 USDT on a single session.
2 open positions still not included.
Not financial advice — v5.4 in development.
Results (closed trades)
🤖 10 trades | Win rate: 40% (4/10)
💰 Realized PnL: −1.11 USDT
⚖️ Gain/loss ratio: 1.27×
🏆 Best: PENDLE +1.64%
💀 Worst: ALICE −1.89%
Market Context
BTC in a range all day + May 1st holiday in the EU. The big moves (APE +12%, PENDLE +14%, INJ +7%, RAY +10%) all happened between 12h and 16h — within our blocked zone. Structurally tough session.
Simulation v5.4 on this session
With the 13 corrections:
BTC range filter (point 9)
BTC range < 1.5% for 4h all day → minimum score recorded at 9. Out of our 10 trades, 6 had a score of 8 → would have been blocked. Avoided losses: +4.08 USDT.
EU holiday detection (point 13)
Active range extended to 12h → APE, PENDLE, INJ, and RAY could have been captured starting at 12h15 on their real moves at +7% to +14%.
Adaptive behavior by cycle (point 10)
ALICE and TLM entered at 15h (opening cycle, score 9 required) → would have been blocked (score 8).
Simulated result v5.4: +6.50 USDT estimated vs −1.11 USDT actual → delta of +7.61 USDT on a single session.
2 open positions still not included.
Not financial advice — v5.4 in development.
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Incident Report | April 30
Critical bug identified and patched live tonight.
What happened
Discrepancy between the amount tracked by the bot and the actual balance on Binance → SL execution impossible → infinite error loop. Affected 3 pairs (FLOW, CTSI, ZEC). Manual intervention required each time.
The fix — v5.3.1
Before each sell, the bot now checks the actual balance on Binance and uses the lesser of what it thinks it has and what is actually available. If balance = 0 (manual sell already done), automatic state cleanup. Error loop impossible.
Daily impact
Despite the bug: +2.17% on the day.
Bot v5.3.1 online since 20:42. 🟢
Incident Report | April 30
Critical bug identified and patched live tonight.
What happened
Discrepancy between the amount tracked by the bot and the actual balance on Binance → SL execution impossible → infinite error loop. Affected 3 pairs (FLOW, CTSI, ZEC). Manual intervention required each time.
The fix — v5.3.1
Before each sell, the bot now checks the actual balance on Binance and uses the lesser of what it thinks it has and what is actually available. If balance = 0 (manual sell already done), automatic state cleanup. Error loop impossible.
Daily impact
Despite the bug: +2.17% on the day.
Bot v5.3.1 online since 20:42. 🟢
Critical bug identified and patched live tonight.
What happened
Discrepancy between the amount tracked by the bot and the actual balance on Binance → SL execution impossible → infinite error loop. Affected 3 pairs (FLOW, CTSI, ZEC). Manual intervention required each time.
The fix — v5.3.1
Before each sell, the bot now checks the actual balance on Binance and uses the lesser of what it thinks it has and what is actually available. If balance = 0 (manual sell already done), automatic state cleanup. Error loop impossible.
Daily impact
Despite the bug: +2.17% on the day.
Bot v5.3.1 online since 20:42. 🟢
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Positive day despite a critical bug discovered live.
Key figures
🤖 13 trades | Win rate: 53.8%
📈 Portfolio: +2.17% on the day
⚖️ Gain/loss ratio: 3.02×
🏆 Best trade: PENDLE +3.80%
Bug of the day — FLOWUSDT
Discrepancy between what the bot was tracking and the actual balance after BNB fees → SL stuck in a loop for 69 minutes. Manual intervention. Trade closed at −1.94% instead of the intended SL at +2%.
Correction v5.4 — 2 lines of code. Bug fixed.
Positive day despite a critical bug discovered live.
Key figures
🤖 13 trades | Win rate: 53.8%
📈 Portfolio: +2.17% on the day
⚖️ Gain/loss ratio: 3.02×
🏆 Best trade: PENDLE +3.80%
Bug of the day — FLOWUSDT
Discrepancy between what the bot was tracking and the actual balance after BNB fees → SL stuck in a loop for 69 minutes. Manual intervention. Trade closed at −1.94% instead of the intended SL at +2%.
Correction v5.4 — 2 lines of code. Bug fixed.
Key figures
🤖 13 trades | Win rate: 53.8%
📈 Portfolio: +2.17% on the day
⚖️ Gain/loss ratio: 3.02×
🏆 Best trade: PENDLE +3.80%
Bug of the day — FLOWUSDT
Discrepancy between what the bot was tracking and the actual balance after BNB fees → SL stuck in a loop for 69 minutes. Manual intervention. Trade closed at −1.94% instead of the intended SL at +2%.
Correction v5.4 — 2 lines of code. Bug fixed.
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From 0% to 67% — The story of a trading bot built from scratchBinance Spot | Python | 7 days | 6 versions
April 24, 2026. Starting capital: 566 USDT.
Goal: to build a fully algorithmic trading bot from scratch, iterate it live in the real market, and document each version honestly — including the losses.
Here’s the complete retrospective.
🔴 v1 / v2 / v3 — The foundations (April 24–25)
13 trades. 0 winners. −7 USDT.
First architecture: RSI signal + basic EMA. SL too tight (ATR×1.5), the BTC market was in a tight range triggering stop-losses on normal noise. Each correction generated a new version. Nothing profitable — but the dual-loop threading and Binance connection were stable.
From 0% to 67% — The story of a trading bot built from scratch
Binance Spot | Python | 7 days | 6 versions
April 24, 2026. Starting capital: 566 USDT.
Goal: to build a fully algorithmic trading bot from scratch, iterate it live in the real market, and document each version honestly — including the losses.
Here’s the complete retrospective.
🔴 v1 / v2 / v3 — The foundations (April 24–25)
13 trades. 0 winners. −7 USDT.
First architecture: RSI signal + basic EMA. SL too tight (ATR×1.5), the BTC market was in a tight range triggering stop-losses on normal noise. Each correction generated a new version. Nothing profitable — but the dual-loop threading and Binance connection were stable.
April 24, 2026. Starting capital: 566 USDT.
Goal: to build a fully algorithmic trading bot from scratch, iterate it live in the real market, and document each version honestly — including the losses.
Here’s the complete retrospective.
🔴 v1 / v2 / v3 — The foundations (April 24–25)
13 trades. 0 winners. −7 USDT.
First architecture: RSI signal + basic EMA. SL too tight (ATR×1.5), the BTC market was in a tight range triggering stop-losses on normal noise. Each correction generated a new version. Nothing profitable — but the dual-loop threading and Binance connection were stable.
4
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v5.3 — Key Figures
🤖 Win rate: 67% (4/6 trades)
📈 ROI: +1.34% in 12h on active capital
💰 Net PnL: +7.25 USDT — first night
⚖️ Gain/Loss ratio: 2.88×
⏱️ Average trade duration: ~4h
v5.3 — Key Figures
🤖 Win rate: 67% (4/6 trades)
📈 ROI: +1.34% in 12h on active capital
💰 Net PnL: +7.25 USDT — first night
⚖️ Gain/Loss ratio: 2.88×
⏱️ Average trade duration: ~4h
🤖 Win rate: 67% (4/6 trades)
📈 ROI: +1.34% in 12h on active capital
💰 Net PnL: +7.25 USDT — first night
⚖️ Gain/Loss ratio: 2.88×
⏱️ Average trade duration: ~4h
10
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Fun test, for the past week I've been fine-tuning the details.
Currently on v5.3 of my trading bot, win rate jumping from 43% to 60% (compared to 8% in V1)
Goal: 1% a day (which translates to +3678% yearly)
I'll publish the results as I go along.
Fun test, for the past week I've been fine-tuning the details.
Currently on v5.3 of my trading bot, win rate jumping from 43% to 60% (compared to 8% in V1)
Goal: 1% a day (which translates to +3678% yearly)
I'll publish the results as I go along.
Currently on v5.3 of my trading bot, win rate jumping from 43% to 60% (compared to 8% in V1)
Goal: 1% a day (which translates to +3678% yearly)
I'll publish the results as I go along.
6
108
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