Short Trade on NEAR 01 Sep 2025 at 03:34:05
Take profit at 2.3527 (0.77 %) and Stop Loss at 2.3832 (0.51 %)
Short Trade on NEAR 01 Sep 2025 at 03:34:05
Take profit at 2.3527 (0.77 %) and Stop Loss at 2.3832 (0.51 %)
Position size of 1551.7132 $
Take profit at 2.3527 (0.77 %) and Stop Loss at 2.3832 (0.51 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.69 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.61 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.792212 |
1 |
Indicators:
107914
0.00788083
108764
0.792212
108308
0.00420947
108764
109500
-0.00671629
108764
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 03:34:05 |
01 Sep 2025 03:45:00 |
10 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.371 | 2.3832 | 2.3527 | 1.5 | 1.068 |
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 = 2.3832 - 2.371 = 0.0122
Récompense (distance jusqu'au take profit):
E - TP = 2.371 - 2.3527 = 0.0183
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0183 / 0.0122 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1551.7132 | 100 | 654.4552 | 15.52 |
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 / 0.0122 = 655.74
Taille de position USD = 655.74 x 2.371 = 1554.76
Donc, tu peux acheter 655.74 avec un stoploss a 2.3832
Avec un position size USD de 1554.76$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 655.74 x 0.0122 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 655.74 x 0.0183 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.77 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.51 % | 7.98 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -0.51 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9279 % | 180.31 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.3527
[entry_price] => 2.371
[stop_loss] => 2.38442
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.3527
[entry_price] => 2.371
[stop_loss] => 2.38564
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.3527
[entry_price] => 2.371
[stop_loss] => 2.38686
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.3527
[entry_price] => 2.371
[stop_loss] => 2.3893
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0049999999999999
[max_drawdown] => 0.082
[rr_ratio] => 0.06
[high] => 2.45300000
[low] => 2.36600000
[mfe_pct] => 0.21
[mae_pct] => 3.46
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 24
[start_at] => 2025-09-01T03:34:05-04:00
[end_at] => 2025-09-01T05:34:05-04:00
)
[long_term] => Array
(
[max_gain] => 0.013
[max_drawdown] => 0.082
[rr_ratio] => 0.16
[high] => 2.45300000
[low] => 2.35800000
[mfe_pct] => 0.55
[mae_pct] => 3.46
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 84
[start_at] => 2025-09-01T03:34:05-04:00
[end_at] => 2025-09-01T10:34:05-04:00
)
[breakout] => Array
(
[high_before] => 2.38000000
[high_after] => 2.45300000
[low_before] => 2.31700000
[low_after] => 2.36600000
[is_new_high] =>
[is_new_low] =>
)
)