Long Trade on NAORIS 18 Sep 2025 at 14:05:29
Take profit at 0.09132 (16.14 %) and Stop Loss at 0.07229 (8.06 %)
Long Trade on NAORIS 18 Sep 2025 at 14:05:29
Take profit at 0.09132 (16.14 %) and Stop Loss at 0.07229 (8.06 %)
Position size of 99.148 $
Take profit at 0.09132 (16.14 %) and Stop Loss at 0.07229 (8.06 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.94 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.74 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.54 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_low rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : range_high 5m_regime : bear_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.093335 15m : -0.101601 1H : 0.044417 |
2 |
Indicators:
117416
0.000713208
117500
0.093335
116918
0.0049776
117500
-0.101601
116210
0.0110998
117500
0.044417
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 Sep 2025 14:05:29 |
18 Sep 2025 15:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.07863 | 0.07229 | 0.09132 | 2 | 0.03115 |
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 = 0.07229 - 0.07863 = -0.00634
Récompense (distance jusqu'au take profit):
E - TP = 0.07863 - 0.09132 = -0.01269
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.01269 / -0.00634 = 2.0016
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 99.148 | 99.148 | 1260.9439 | 1.00 |
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 / -0.00634 = -1261.83
Taille de position USD = -1261.83 x 0.07863 = -99.22
Donc, tu peux acheter -1261.83 avec un stoploss a 0.07229
Avec un position size USD de -99.22$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1261.83 x -0.00634 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1261.83 x -0.01269 = 16.01
Si Take Profit atteint, tu gagneras 16.01$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 16.14 % | 16 $ |
| SL % Target | SL $ Target |
|---|---|
| 8.06 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -8.06 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -8.0758 % | 100.16 % | 5 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.09132
[entry_price] => 0.07863
[stop_loss] => 0.071656
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-18 15:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.09132
[entry_price] => 0.07863
[stop_loss] => 0.071022
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-18 15:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.09132
[entry_price] => 0.07863
[stop_loss] => 0.070388
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-18 15:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0037
[max_drawdown] => 0.00838
[rr_ratio] => 0.44
[high] => 0.08233000
[low] => 0.07025000
[mfe_pct] => 4.71
[mae_pct] => 10.66
[mfe_mae_ratio] => 0.44
[candles_analyzed] => 24
[start_at] => 2025-09-18T14:05:29-04:00
[end_at] => 2025-09-18T16:05:29-04:00
)
[long_term] => Array
(
[max_gain] => 0.0061
[max_drawdown] => 0.00838
[rr_ratio] => 0.73
[high] => 0.08473000
[low] => 0.07025000
[mfe_pct] => 7.76
[mae_pct] => 10.66
[mfe_mae_ratio] => 0.73
[candles_analyzed] => 84
[start_at] => 2025-09-18T14:05:29-04:00
[end_at] => 2025-09-18T21:05:29-04:00
)
[breakout] => Array
(
[high_before] => 0.10834000
[high_after] => 0.08473000
[low_before] => 0.07551000
[low_after] => 0.07025000
[is_new_high] =>
[is_new_low] =>
)
)