Short Trade on NEIROETH
The 24 Sep 2025 at 14:02:42
With 21679.5993 NEIROETH at 0.0161$ per unit.
Position size of 349.0415 $
Take profit at 0.01536 (4.6 %) and Stop Loss at 0.01647 (2.3 %)
That's a 2 RR TradePosition size of 349.0415 $
Take profit at 0.01536 (4.6 %) and Stop Loss at 0.01647 (2.3 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.77 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.61 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.91 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : range_medium rules_regime_5m : bull_low |
1H_regime : bear_high 15m_regime : bull_high 5m_regime : bull_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.034217 15m : 0.013454 1H : 0.255609 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 24 Sep 2025 14:02:42 |
24 Sep 2025 14:50:00 |
47 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.0161 | 0.01647 | 0.01536 | 2 | 0.00842 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.01647 - 0.0161 = 0.00037
Récompense (distance jusqu'au take profit):
E - TP = 0.0161 - 0.01536 = 0.00074
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00074 / 0.00037 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 349.0415 | 100 | 21679.5993 | 3.49 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 0.00037 = 21621.62
Taille de position USD = 21621.62 x 0.0161 = 348.11
Donc, tu peux acheter 21621.62 avec un stoploss a 0.01647
Avec un position size USD de 348.11$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 21621.62 x 0.00037 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 21621.62 x 0.00074 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 4.6 % | 16.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.3 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -2.30 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.7329 % | 118.92 % | 5 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.01536
[entry_price] => 0.0161
[stop_loss] => 0.016507
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-24 14:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.01536
[entry_price] => 0.0161
[stop_loss] => 0.016544
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-24 14:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.01536
[entry_price] => 0.0161
[stop_loss] => 0.016581
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-24 14:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.01536
[entry_price] => 0.0161
[stop_loss] => 0.016655
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-24 14:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00084
[max_drawdown] => 0.00106
[rr_ratio] => 0.79
[high] => 0.01716000
[low] => 0.01526000
[mfe_pct] => 5.22
[mae_pct] => 6.58
[mfe_mae_ratio] => 0.79
[candles_analyzed] => 24
[start_at] => 2025-09-24T14:02:42-04:00
[end_at] => 2025-09-24T16:02:42-04:00
)
[long_term] => Array
(
[max_gain] => 0.00084
[max_drawdown] => 0.00568
[rr_ratio] => 0.15
[high] => 0.02178000
[low] => 0.01526000
[mfe_pct] => 5.22
[mae_pct] => 35.28
[mfe_mae_ratio] => 0.15
[candles_analyzed] => 84
[start_at] => 2025-09-24T14:02:42-04:00
[end_at] => 2025-09-24T21:02:42-04:00
)
[breakout] => Array
(
[high_before] => 0.01620000
[high_after] => 0.02178000
[low_before] => 0.01402000
[low_after] => 0.01526000
[is_new_high] =>
[is_new_low] =>
)
)